The device development of superceding human brain function in using 'UN Word' or 'UN Word' component, etc. 2-2 (step 1 of proceedings

Abstract

This is the first step in the process of developing a device that acts as a substitute for human brain functions using 'UN words' or components of 'UN words' in order to permanently maintain identity and self-consciousness even after a human individual dies. Therefore, before developing a special substance that functions like the neurons distributed in the brain, specific pathways are first uploaded and configured in advance using 'UN words' or components of 'UN words' that function as a medium connecting the neurons in the brain with the special substance, so that automatic associative memories can be recalled before the individual dies.

Description

Technology Field

[0001] It is a technological field that fuses medicine, linguistics, and computer science, as it is a technique that links the human brain with IT technology using 'UN words' or their components as a medium. Background Technology

[0002] The technology forming the background of the invention is that web programs executed via the following URLs were developed using IT technology; therefore, it is a technology that originated from an interdisciplinary field in which computer science and computer science, which encompass such IT technology, linguistics, which encompasses the basics of English semantics, and medicine are fused together.

[0003] 1. A specific web program and the database within that web program

[0004] 2. A web program with the URL address http: / / newsai.cc and the database on said web program

[0005] 3. A web program with the URL address http: / / wichijooso.com and the database on said web program

[0006] 4. A web program with the URL address http: / / cnnunesco.com and the database on said web program

[0007] 5. A web program with the URL address http: / / cnnunesco3.com and the database on said web program

[0008] 6. The web program with the URL address http: / / 구백년을돌려주면-지도단어-주2.com and the database on said web program

[0009] 7. The web program with the URL address http: / / 구백년을돌려주면-지도단어-소2.com and the database on said web program Prior art literature

[0010] Copyrighted Materials - English Reference Book 'SLOPE' Author: Im Chae-hwan Registration No.: C-2003-000642 - English Reference Book 'Internet (Homepage) Address' Author: Im Chae-hwan Registration No.: C-2004-006596 - Method of Converting and Notating English Sentences Using Charts, and Methods of Reading Comprehension and Writing in English Author: Im Chae-hwan Registration No.: C-2008-008586 - Succession of Descendants and Hereditary Occupation Author: Im Chae-hwan Registration No.: C-2010-007149 - Homepage Program via URL wichijooso.com Registered Rights Holder: Im Chae-hwan Registration No.: C-2016-025841 - Database of the Homepage Program via URL wichijooso.com Database Creator: Im Chae-hwan Registration No.: D-2016-000113 - Method of searching the Internet without using the alphabet on a PC keyboard, etc. Registered Rights Holder: Im Chae-hwan Registration No.: C-2017-013224 - Program that converts text into images Registered Rights Holder: Im Chae-hwan Registration No.: C-2017-036827 - Program for operating map words (URL address: http: / / cnnunesco.com) Registered Rights Holder: Im Chae-hwan Registration No.: C-2018-012566 - Map words Author: Im Chae-hwan Registration No.: C-2018-012504 - Means of operating map words on web programs Author: Im Chae-hwan Registration No.: C-2018-020800 - Development of Internet sentences Author: Im Chae-hwan Registration No.: C-2018-039201 - Online geometric words 3 Author: Im Chae-hwan Registration No.: C-2019-013471 - Method of executing a web program with the URL address http: / / newsai.cc and Online Geometric Words 3 Author: Im Chae-hwan Registration No.: C-2019-020788 - Part of online geometric words functioning as an auxiliary search bar for portal site search bars Author: Im Chae-hwan Registration No.: C-2019-015396 - Development of auxiliary search bars and online geometric words 2 Author: Im Chae-hwan Registration No.:C-2019-009434 - Method for utilizing online shape words as text replacements in mobile phone SMS services Author: Im Chae-hwan Registration No.: C-2019-020321 - Method for utilizing online shape words as text replacements in mobile phone SMS services 2 Author: Im Chae-hwan Registration No.: C-2019-022291 - Method for converting English sentences into shapes online Author: Im Chae-hwan Registration No.: C-2020-006470 - Overview of online shape words Author: Im Chae-hwan Registration No.: C-2020-018515 - Comparison of cube words, online shape words, online shape words 2, online shape words 3, and online shape words 4 Author: Im Chae-hwan Registration No.: C-2020-025506 - Location Tracker Author: Im Chae-hwan Registration No.: C-2020-027376 - 'Im Chae-hwan-style Conversion Method', 'Im Chae-hwan-style Conversion Method 2', and 'Im Chae-hwan-style Conversion Method 3' applied in 'Online Geometric Words' and 'Online Geometric Words 4' Author: Im Chae-hwan Registration No.: C-2020-038718 - A technique for linking and integrating portal sites and SNS websites, etc., into map words or online geometric words within a single screen on a PC monitor Author: Im Chae-hwan Registration No.: C-2021-046313 - The development and implementation process of map words Author: Im Chae-hwan Registration No.: C-2021-054623 - A method for converting a single sentence into an 'Internet sentence' Author: Im Chae-hwan Registration No.: C-2021-056958 - A method for converting English sentences into symbols within a specific web program Author: Im Chae-hwan Registration No.: C-2022-000783 - 'Im Chae-hwan Style Conversion Method', 'Im Chae-hwan Style Conversion Method 2', and 'Im Chae-hwan Style Conversion Method 3' Author: Im Chae-hwan Registration No.: C-2022-001281 - Method for Converting English Sentences into Shapes Online and Application Procedures Author: Im Chae-hwan Registration No.: C-2022-001282 - Method for Converting English Sentences into Shapes, Method for Linking to Various Websites, and Operation Procedures Author: Im Chae-hwan Registration No.:C-2022-004143 - Procedure for applying 'Online Geometric Words' to mobile phone 'Text Message Service (SMS)' Author: Lim Chae-hwan Registration No.: C-2022-004517 - Functions of 'Word Address 3-1' and 'Word Address 3-2' in 'Online Geometric Words' Author: Lim Chae-hwan Registration No.: C-2022-005617 - Method for converting English sentences into the form of combined symbols within a world map on a specific web program Author: Lim Chae-hwan Registration No.: C-2022-007573 - Auxiliary search bar, 'Map Words', and 'Online Geometric Words' Author: Lim Chae-hwan Registration No.: C-2022-011617 - Development of 'Map Words' and 'Online Geometric Words' Author: Lim Chae-hwan Registration No.: C-2022-013134 - 'Online Execution Process of 'Geometric Word 4' Author: Im Chae-hwan Registration No.: C-2022-014710 - Comparison of 'Cube Word', 'Online Geometric Word 1', 'Online Geometric Word in the Narrow Sense', 'Online Geometric Word 3', and 'Online Geometric Word 4' Author: Im Chae-hwan Registration No.: C-2022-015242 - Method and Operation Procedure for Converting English Sentences into Geometric Shapes 2 Author: Im Chae-hwan Registration No.: C-2022-018069 - Online Geometric Word 4 Author: Im Chae-hwan Registration No.: C-2022-018101 - Complete Transformation (Content Reduced) Author: Im Chae-hwan Registration No.: C-2022-018282 - Author of a Web Program with the URL address http: / / newsai.cc Name: Im Chae-hwan Registration No.: C-2022-048744 - Web program with URL address http: / / 구백년을돌려주면-지도단어-소2.com Author Name: Im Chae-hwan Registration No.: C-2022-048743 - Web program with URL address http: / / 구백년을돌려주면-지도단어-주2.com Author Name: Im Chae-hwan Registration No.: C-2022-048745 - Development of 'UN Word' Author Name: Im Chae-hwan Registration No.: C-2022-056326 - Development of 'UN Word' 2 Author Name: Im Chae-hwan Registration No.: C-2023-006150 - UniverseWord Author Name: Im Chae-hwan Registration No.: C-2023-007790- 'Space Word' 2 Author Name: Im Chae-hwan Registration No.: C-2023-007842- Development of 'Map Word' and 'Online Shape Word' 2 Author Name: Im Chae-hwan Registration No.: C-2023-010122- Space Word 3 Author Name: Im Chae-hwan Registration No.: C-2023-012548- Space Word 4 Author Name: Im Chae-hwan Registration No.: C-2023-012549- Space Word 5 (Revised Version) Author Name: Im Chae-hwan Registration No.: C-2023-016693- Database embedded in web programs such as http: / / newsai.cc Author Name: Im Chae-hwan Registration No.: D-2024-000129 - Development of 'Online Shape Word 6' 3 Author's Name: Im Chae-hwan Registration No.: C-2024-043013 The problem to be solved

[0011] We intend to develop a device that performs human brain functions using 'UN words' or component(s) of 'UN words' in order to permanently maintain perception, cognition, self-consciousness, memory, identity, and intelligence even after an individual dies. means of solving the problem

[0012] 1. The direct means used to solve the problem are as follows.

[0013] A. The web program in which the paths presented in the example of the 'Example' below are executed is the web program with the URL address http: / / 구백년을돌려주면-지도단어-소2.com, but it is executed in the same way in the web program with http: / / 구백년을돌려주면-지도단어-주2.com, the web program with http: / / newsai.cc, and the program with https: / / earth.google.com / web / @.

[0014] B. 'Cube word', 'Map word', 'Online shape word', 'Online shape word 1', 'Online shape word 2', 'Online shape word 3', 'Online shape word 4', 'Mother of website words', 'Website word', 'URL address word', 'UN word', space word, etc.

[0015] C. Naver, Daum, Microsoft Bing, Zoom, Nate, Google's portal sites, YouTube, Facebook, X, Instagram, KakaoStory, Naver Blog SNS websites, Google Maps program, Google Earth program

[0016] D. 'UN word' or component(s) of 'UN word'

[0017] E. Internet of Things (IOT), Big Data, Cloud, Mobile

[0018] b. Robots and special sensor materials mounted on the robots, etc.

[0019] 2. The indirect means used to solve the problem are as follows.

[0020] GPS, cameras, goggles, various sensors, computers, mobile phones, ground drones, UAM, aircraft, satellites, etc.

[0021] 3. By the ‘Im Chae-hwan conversion method’, ‘Im Chae-hwan conversion method 2’, and ‘Im Chae-hwan conversion method 3’, the equation as shown in ‘Table 1’ is established.

[0022] [Table 1]

[0023]

[0024] 4. Among the vertical, horizontal, and height corners of the square model, the small squares assigned code numbers from 1 to 150 are the frontal lobe region, and the small squares assigned code numbers from 151 to 350 are the parietal lobe region.

[0025] The small squares with code numbers 351 through 440 function as the temporal lobe area, and the small squares with code numbers 441 through 540 function as the occipital lobe area.

[0026] Refer to Figures 1, 2, and 3.

[0027] Therefore, the word address 1 of the English word neurofibromatosis is (179 10 37 524), which is the place (location) where information received from the parietal lobe, frontal lobe, and occipital lobe regions is gathered. Thus, the English word neurofibromatosis is considered to execute a function that combines the functions acting (processing) in the parietal lobe, frontal lobe, and occipital lobe regions, respectively.

[0028] [Table 2]

[0029]

[0030] Formula for calculating the number of neurons in ㉠ of 'Table 2'

[0031] Number of small squares making up a square = 540 × (540 - 1) × (540 - 1) = 156,881,340

[0032] Since 156,881,340 contains 2 billion neurons, Each small square contains 63.742 neurons.

[0033] Therefore, since the vertical corners in ㉠ of the above 'Table 2' consist of 540 small squares,

[0034] It contains 540 × 63.742 = 34,420.68 neurons.

[0035] Therefore, since one morpheme in ㉮ of 'Table 2' is equivalent to one small square, it contains 63.742 neurons.

[0036] However, the underlined statement above, "each small square contains 12.748 neurons," is merely an average calculation, and since the cerebral cortex, which is a three-dimensional model, has been converted into a square, weights must be assigned to the number of neurons included in each vertical corner, horizontal corner, and height corner to ensure fairness in the number of neurons distributed in the cerebral cortex, which is a three-dimensional model with a very thin original thickness (height).

[0037] Weights were not assigned (reflected) in 'Table 2'.

[0038] [Table 3]

[0039]

[0040]

[0041]

[0042] Since the parietal lobe indicated in 'Table 3' is the place that makes letters into words and creates meaningful content, conversion (replacement) to one or more 'Google Earth' programs via conversion to 'Online Shape Word 4' is most appropriate.

[0043] Formula for calculating the number of neurons in ㉠ of 'Table 3'

[0044] Number of small squares making up a square = 540 × (540 - 1) × (540 - 1) = 156,881,340

[0045] Since 156,881,340 contains 2 billion neurons, Each small square contains 12.748 neurons.

[0046] Therefore, since the vertical corners in ㉠ of Table 3 above are composed of 540 small squares,

[0047] It contains 540 × 12.748 = 6,883.92 neurons.

[0048] Therefore, since one morpheme in ㉮ of Table 3 is equivalent to one small square, it contains 12.748 neurons.

[0049] However, the underlined statement above, "each small square contains 12.748 neurons," is merely an average calculation, and since the cerebral cortex, which is a three-dimensional model, has been converted into a square, weights must be assigned to the number of neurons included in each vertical corner, horizontal corner, and height corner to ensure fairness in the number of neurons distributed in the cerebral cortex, which is a three-dimensional model with a very thin original thickness (height).

[0050] Weights were not assigned (reflected) in 'Table 3'.

[0051] 5. It is assumed that the total number of neurons distributed in the human cerebral cortex is three times greater than the total number of artificial satellites distributed in space between an altitude of 0 km and 20,003 km above sea level.

[0052] However, in reality, such a large number of artificial satellites as mentioned above do not exist in the aforementioned space.

[0053] Therefore, it is assumed that the same number of satellites are replaced with combinations of icons indicating the direction of the 'UN word' or components of the 'UN word' or components of the 'UN word', or the Google Earth program, and the height of looking down, using an IoT (Internet of Things) system, etc.

[0054] In addition, the combination of the 'UN word' or the components of the 'UN word' or the direction-pointing icon and the downward-looking height of the Google Earth program, which is a component of the 'UN word', is considered (assumed) to be a medium that connects the groups of neurons or neurons distributed in the human cerebral cortex with the satellites distributed in space between the Earth's elevation of 0 km and 20,003 km.

[0055] Therefore, the aforementioned 'UN word' or the components of the 'UN word', or the combination of the Google Earth icon indicating direction and the downward-looking height which is a component of the 'UN word', is considered (assumed) to be a medium that connects the robot and the satellite.

[0056] 6. Based on the 10 billion neurons distributed throughout the cerebral cortex, one English morpheme is considered to be one neuron group containing 63,742 neurons, according to the contents of 'Table 1' and 'Table 2'.

[0057] In addition, the entire cerebral cortex can be divided into four lobes as shown below, and the hippocampus and thalamus are not included in the cerebral cortex.

[0058] Type 1: Replacing the visual area and visual association area of ​​the occipital lobe of the cerebral cortex with 'UN words' or components of 'UN words'.

[0059] Type 2: Replacing the auditory area and auditory association area of ​​the temporal lobe of the cerebral cortex with 'UN words' or components of 'UN words'.

[0060] Type 3: Replacing the frontal lobe, which is the part of the cerebral cortex primarily responsible for memory functions, with 'UN words' or components of 'UN words'.

[0061] Type 4: Replacing the parietal lobe, which primarily performs perceptual and language cognitive functions within the cerebral cortex, with 'UN words' or components of 'UN words'.

[0062] Type 5: The function of creating new long-term memories (learning)—that is, replacing the hippocampus, which functions to convert short-term memories into long-term memories, with 'UN words' or components of 'UN words'.

[0063] Type 6: Replace the poem with 'Online Shape Word 4'

[0064] Figure 1 presents a roadmap for sequential recall (memory) by a method of executing 'Online Shape Word 3' connected to 'Online Shape Word 4', a component of 'UN Word', in the frontal lobe of the entire cerebral cortex.

[0065] It is assumed that there are approximately 10 billion neurons in the entire cerebral cortex, and that there are 3 billion neurons in the frontal lobe. Figure 1 shows the functions of neuron groups or neurons distributed in the frontal lobe.

[0066] 7. The above "Type 3" is implemented as in the 'Example' below.

[0067] As shown in the path presented in the 'Example' below, a specific individual prioritizes and selects the most impressive or most shocking events from their life since birth, converts them into words (text), and then executes the components of the 'UN word'. specific internet (mobile) platform Upload the words in advance and set the path.

[0068] The internet address (URLI address) of the underlined part above is http: / / 구백년을돌려주면-지도단어-소2.com.

[0069] As shown in 'Table 3', it is difficult to perfectly analyze the ultrafine functions of each individual neuron among the approximately 10 billion neurons distributed in the cerebral cortex and the 3 billion neurons distributed in the frontal lobe, but it is assumed that the neuron group distributed in the combination of ㉴, ㉵, and ㉶ in 'Table 3' and the combination of the Google Earth program's direction-pointing icon and the downward-looking height, which are components of the 'UN word', are functionally matched in a 1:1 ratio.

[0070] 8. Among the visual area and visual association area of ​​the occipital lobe presented in Type 1 above, a device is developed such that one combination of a neuron group distributed to the morpheme in the first order, which is a component of the vertical corner according to [Table 1] and [Table 3], one neuron group distributed to the morpheme in the second order, which is a component of the horizontal corner, and one neuron group distributed to the morpheme in the third order, which is a component of the height corner, and one combination of the icon pointing in the direction of the Google Earth program and the downward height, which is a component of the 'UN word', are paired (matched) with each other in a 1:1 ratio.

[0071] Therefore, assuming that the remaining neuron groups are also all paired one-to-one in the same manner as above, if the combinations of the directional icons and the viewing heights in the Google Earth program are networked with each other, then the neuron groups are also networked with each other.

[0072] If the same neuron groups are networked with one another, the same combinations are also networked with one another.

[0073] 9. Among the auditory area and auditory association area of ​​the temporal lobe presented in the above 2 types, a device is developed such that one combination of a neuron group distributed to the morpheme located in the first order, which is a component of the vertical corner according to [Table 1] and [Table 3], one neuron group distributed to the morpheme located in the second order, which is a component of the horizontal corner, and one neuron group distributed to the morpheme located in the third order, which is a component of the height corner, and one combination of the icon pointing in the direction of the Google Earth program and the downward height, which is a component of the 'UN word', are paired (matched) with each other in a 1:1 ratio.

[0074] Therefore, since it is assumed that the remaining neuron groups are all paired with each other in a 1:1 manner in the same way as above, if the combinations of the direction-pointing icons of the Google Earth program and the heights looking down are networked with each other, the neuron groups are also networked with each other, and if the same neuron groups are networked with each other, the same combinations are also networked with each other.

[0075] 10. Among the frontal lobes presented in the above 3 types, a device is developed to match one combination of one neuron group distributed to the morpheme in the first order, which is a component of the vertical corner according to [Table 1] and [Table 3], one neuron group distributed to the morpheme in the second order, which is a component of the horizontal corner, and one neuron group distributed to the morpheme in the third order, which is a component of the height corner, with one combination of the icon pointing in the direction of the Google Earth program and the downward height, which is a component of the 'UN word', in a 1:1 ratio.

[0076] Therefore, assuming that the remaining neuron groups are also all paired one-to-one in the same manner as above, if the combinations of the directional icons and the viewing heights in the Google Earth program are networked with each other, then the neuron groups are also networked with each other.

[0077] If the same neuron groups are networked with one another, the same combinations are also networked with one another.

[0078] 11. Among the parietal lobes presented in the above 4 types, a device is developed to match one combination of one neuron group distributed to the morpheme in the first order, which is a component of the vertical corner according to [Table 1] and [Table 3], one neuron group distributed to the morpheme in the second order, which is a component of the horizontal corner, and one neuron group distributed to the morpheme in the third order, which is a component of the height corner, with one combination of the icon pointing in the direction of the Google Earth program and the downward height, which is a component of the 'UN word', in a 1:1 ratio.

[0079] Therefore, since it is assumed that the remaining neuron groups are all paired with each other in a 1:1 manner in the same way as above, if the combinations of the direction-pointing icons of the Google Earth program and the heights looking down are networked with each other, the neuron groups are also networked with each other, and if the same neuron groups are networked with each other, the same combinations are also networked with each other.

[0080] 12. The single icon indicating the direction of the Google Earth program, which is a component of the above 'UN word', refers to the coordinates at the tangent point where a line of latitude and a line of longitude meet—that is, a location formed by a combination of latitude and longitude. An example of 'word address 2-2' is expressed as follows, and refers to the combination of the component located in the first underlined position and the component located in the second position.

[0081] (5 6°54'57.6"S 89°16'55.2"W 15,343.041km)

[0082] 13. Since the following 'Example' describing the execution steps of Fig. 1 is a memory association device related to the identity of an individual human, one server must be matched per individual in order to thoroughly protect personal information. Therefore, if there are 100 million people, there must be 100 million devices acting as human substitutes (AI-equipped robots) with an embedded internet (mobile) platform in which 'UN words' are executed, and since there is one server per device, the total number of servers must also be 100 million.

[0083] 14. The above 'Type 1' through 'Type 4' may be executed as individual lobes (regions) as shown in 'Table 3', or as combined lobes (regions) as shown in 'Table 2'.

[0084] 15. The reason a part of the special sensor material to be mounted on the robot replaces the functions of the visual area and visual association area of ​​the occipital lobe of the cerebral cortex of type 1 mentioned above is that a collection of combinations of the direction-pointing icon and the downward-looking height of the Google Earth program, which is a component of the 'UN word', or a part of such a collection, functions as a mediator that connects the visual area and visual association area of ​​the occipital lobe with a part of such special sensor material.

[0085] The reason why the above combination (network) or a part of the same combination can function as a medium is as follows.

[0086] a. This is because, based on the contents of 'Table 1', the occipital lobe is converted into a rectangular prism and a cube, and then converted into the Google Earth program.

[0087] B. This is because an autonomous driving device is installed on a part of the aforementioned special sensor material so that it can recognize the shape, color, brightness, etc., of objects, similar to the visual area and visual association area of ​​the occipital lobe.

[0088] c. This is because the neuron group or neurons distributed in the occipital lobe are networked, a part of the assembly of the above combination is also networked, and an autonomous driving device is installed on a part of the sensor material, and the autonomous driving device is developed based on networking such as the Google Earth program or based on networking presented in Fig. 1, and thus, according to 'Table 1', the network of the neuron group or neurons, the network of a part of the assembly of the above combination, and the network installed on the special sensor material can be matched with each other in a 1:1:1 ratio, thereby ensuring compatibility.

[0089] Just as visual information detected through sensory organs related to the eyes is converted into electrochemical visual information via the thalamus and arrives at the cerebral cortex for recognition (processing), visual information detected through various equipment (cameras, goggles, etc.) mounted on a robot replacing the same sensory organs related to the eyes Converted into textual visual information in the Google Earth program, a component of 'UN words' It arrives at the special sensor material and is recognized (processed) by the autonomous driving device.

[0090] The underlined part above is explained as follows.

[0091] a. One of the techniques for converting detected visual information into text: Capture the visual information, convert it into a QR code, and extract the text.

[0092] B. A network is required for visual information detected through the various equipment (camera, goggles, etc.) mentioned above to be converted into text in the Google Earth program, which is a component of the 'UN word'. Since this network is paired 1:1 with a network formed within a special sensor material to execute autonomous driving, it is compatible, and the textified visual information arriving at the special sensor material is recognized (processed) by the autonomous driving device.

[0093] One combination of ㉮, ㉯, and ㉰ in 'Table 3', one combination of the icon indicating the direction of the Google Earth program and the height looking down, and one combination of certain components of the network formed on the special sensor material are each considered to be matched with each other in a 1:1:1 ratio.

[0094] The above paragraph can be summarized as follows.

[0095] One combination formed by aggregating a group of 12,748 neurons contained in the first-order morpheme, which is a component of the longitudinal edge of the occipital lobe (visual area and visual association area), a group of 12,748 neurons contained in the second-order morpheme, which is a component of the transverse edge, and a group of 12,748 neurons contained in the third-order morpheme, which is a component of the height edge—one combination of the directional icon in the Google Earth program and the downward viewing height—one combination of specific components of a network formed in a special sensory material

[0096] 16. In the above paragraph 15, visual information detected through various equipment (camera, goggles, etc.) is not converted into text in the Google Earth program, and the detected visual information can be directly searched for in the Google Earth program to find images or videos that match the visual information.

[0097] 17. The reason a part of the special sensor material to be mounted on the robot replaces the functions of the auditory area and auditory association area of ​​the temporal lobe of the cerebral cortex of type 2 mentioned above is that a collection of combinations of the direction-pointing icon and the downward-looking height of the Google Earth program, which is a component of the 'UN word', or a part of such a collection, functions as a mediator connecting the auditory area and auditory association area of ​​the same temporal lobe with a part of such special sensor material.

[0098] The reason why the above combination (network) or a part of the same combination can function as a medium is as follows.

[0099] a. This is because, based on the contents of 'Table 1', the temporal lobe is converted into a rectangular prism and a cube, and then converted into the Google Earth program.

[0100] B. This is because an autonomous driving device is installed on a part of the aforementioned special sensor material so that it can recognize sound intensity, sound quality, sound location, etc., similar to the auditory area and auditory association area of ​​the temporal lobe.

[0101] c. This is because the neuron group or neurons distributed in the temporal lobe are networked, and a part of the assembly of the above combination is also networked, and an autonomous driving device is installed on a part of the special sensor material, and the autonomous driving device is developed based on networking such as the Google Earth program or based on networking presented in Fig. 1, and thus, according to 'Table 1', the network of the neuron group or neurons, the network of a part of the assembly of the above combination, and the network installed on the special sensor material can be matched with each other in a 1:1:1 ratio, thereby ensuring compatibility.

[0102] Just as auditory information detected through sensory organs related to the ear is converted into electrochemical auditory information via the thalamus and arrives at the cerebral cortex for recognition (processing), auditory information detected through various equipment (sound devices such as speakers) mounted on a robot replacing the same sensory organs related to the ear Converted into textual auditory information in the Google Earth program, a component of 'UN words' It arrives at the special sensor material and is recognized (processed) by the autonomous driving device.

[0103] The underlined part above is explained as follows.

[0104] A network is required for auditory information detected through the various equipment (sound devices such as speakers) to be converted into text in the Google Earth program, which is a component of the 'UN word'. Since this network is matched one-to-one with a network formed within a special sensor material to execute autonomous driving, it is compatible, and thus the textified auditory information arriving at a part of the special sensor material is recognized (processed) by the autonomous driving device.

[0105] One combination of ㉱, ㉲, and ㉳ in 'Table 3', one combination of the icon indicating the direction of the Google Earth program and the height looking down, and one combination of certain components of the network formed on the special sensor material are each considered to be matched with each other in a 1:1:1 ratio.

[0106] The above paragraph can be summarized as follows.

[0107] One combination formed by aggregating a group of 9,561 neurons contained in the first-order morpheme, which is a component of the longitudinal edge of the temporal lobe (primarily the auditory and auditory association areas), a group of 9,561 neurons contained in the second-order morpheme, which is a component of the transverse edge, and a group of 9,561 neurons contained in the third-order morpheme, which is a component of the height edge — one combination of a directional icon in the Google Earth program and a downward-looking height — one combination of specific components of a network formed in a special sensor material

[0108] 18. The reason a part of the special sensor material to be mounted on the robot replaces the functions of the memory area and memory association area of ​​the frontal lobe among the three types of cerebral cortex mentioned above is that a collection of combinations of the direction-pointing icon and the downward-looking height of the Google Earth program, which is a component of the 'UN word' (network = network), or a part of such a collection, functions as a mediator that connects the memory area and memory association area of ​​the frontal lobe with the part of the special sensor material.

[0109] The reason why the above combination (network) or a part of the same combination can function as a medium is as follows.

[0110] a. This is because, based on the contents of 'Table 1', the frontal lobe is converted into a rectangular prism and a cube, and then converted into one or more Google Earth programs.

[0111] B. This is because, just as the occipital lobe first recognizes the shape, color, and brightness of objects before the memory area of ​​the frontal lobe stores and remembers (retrieves, recalls), a part of the aforementioned special sensor material contains a network that serves as the basis for the installation of an autonomous driving device for such memory (retrieval, recall).

[0112] c. This is because the neuron group or neurons distributed in the frontal lobe are networked, a part of the assembly of the above combination is also networked, and an autonomous driving device is installed on a part of the sensor material, and the autonomous driving device is developed based on networking such as the Google Earth program or based on networking presented in Fig. 1, and thus, according to 'Table 1', the network of the neuron group or neurons, the network of a part of the assembly of the above combination, and the network installed on the special sensor material can be matched with each other in a 1:1:1 ratio, thereby ensuring compatibility.

[0113] Just as visual information detected through sensory organs related to the eyes is converted into electrochemical visual information via the thalamus, arrives at the occipital lobe of the cerebral cortex to be recognized (processed), and then stored and remembered (recalled) in the frontal lobe, visual information detected through various equipment (cameras, goggles, etc.) mounted on a robot replacing the same sensory organs related to the eyes Converted into textual visual information in the Google Earth program, a component of 'UN words' It arrives at a part of the special sensor material, is recognized (processed) by the autonomous driving device, arrives at another part of the special sensor material that functions as the frontal lobe, is stored, and is remembered (recalled) by another autonomous driving device. ---Refer to Fig. 1

[0114] The underlined part above is explained as follows.

[0115] A network is required for visual information detected through the various equipment (camera, goggles, etc.) to be converted into text in the Google Earth program, which is a component of the 'UN word'. Since this network is paired 1:1 with a network formed within a special sensor material to execute autonomous driving, it is compatible. As a result, the textualized visual information arriving at a part of the special sensor material is recognized (processed) by the autonomous driving device, stored in another part of the special sensor material that acts as a substitute for the function of the frontal lobe, and remembered (recalled) by another autonomous driving device.

[0116] One combination of ㉴, ㉵, and ㉶ in 'Table 3', one combination of the icon indicating the direction of the Google Earth program and the height looking down, and one combination of certain components of the network formed on the special sensor material are each considered to be matched with each other in a 1:1:1 ratio.

[0117] The above paragraph can be summarized as follows.

[0118] One combination formed by aggregating a group of 19.12 neurons contained in the first-order morpheme, a component of the longitudinal edge of the frontal lobe; a group of 19.12 neurons contained in the second-order morpheme, a component of the transverse edge; and a group of 19.12 neurons contained in the third-order morpheme, a component of the vertical edge—one combination of a directional icon in the Google Earth program and a downward viewing height—one combination of specific components of a network formed in a special sensory material

[0119] Just as information obtained through sensory organs (e.g., the detected shape of a cat) is recognized in the visual area of ​​the occipital lobe, then stored and remembered (retrieved, recalled) in the frontal lobe

[0120] When information obtained through various devices replacing the human body's various sensory organs (e.g., the detected shape of a cat) is transmitted to the components of the 'UN word,' etc., identical information is converted into text or an image and pre-stored in the components of the 'UN word,' as shown in the example of the 'Example' below. Since the aforementioned information is located at the starting point of a path already established in the components of the 'UN word,' etc., the same path is generated in the network formed within the special sensor material that is interconnected with the network serving as the basis for establishing the path, thereby allowing memories to be retrieved (recalled) in succession. In other words, association occurs. To put it another way, if a specific icon travels along a path already established in the components of the 'UN word,' autonomous driving is also achieved on the identical path generated within the special sensor material.

[0121] 19. The reason a part of the special sensor material to be mounted on the robot replaces the function of the parietal lobe of the cerebral cortex of the above 4 types is that a collection of combinations of the direction-pointing icon and the downward-looking height of the Google Earth program, which is a component of the 'UN word' (network = network), or a part of such a collection, functions as a mediator connecting the tactile area and tactile association area of ​​the parietal lobe with a part of such special sensor material.

[0122] The reason why the above combination (network) or a part of the same combination can function as a medium is as follows.

[0123] a. This is because, based on the contents of 'Table 1', the parietal lobe is converted into a rectangular prism and a cube, and then converted into the Google Earth program.

[0124] B. This is because an autonomous driving device is installed on a part of the sensor material so that a part of the special sensor material can recognize skin itching, pain, etc., such as the tactile area and tactile association area of ​​the parietal lobe.

[0125] c. This is because the neuron group or neurons distributed in the parietal lobe are networked, and a part of the assembly of the above combination is also networked, and an autonomous driving device is installed on a part of the special sensor material, and the autonomous driving device is developed based on networking such as the Google Earth program or based on networking presented in Fig. 1, and thus, according to 'Table 1', the network of the neuron group or neurons, the network of a part of the assembly of the above combination, and the network installed on the special sensor material can be matched with each other in a 1:1:1 ratio, thereby ensuring compatibility.

[0126] Just as tactile information detected through sensory organs related to the skin, tongue, etc. is converted into electrochemical tactile information via the thalamus and arrives at the cerebral cortex for recognition (processing), tactile information detected through various equipment mounted on a robot replacing such sensory organs related to the skin, tongue, etc. Converted into text-based haptic information in the Google Earth program, a component of 'UN words' It arrives at the special sensor material and is recognized (processed) by the autonomous driving device.

[0127] The underlined part above is explained as follows.

[0128] A network is required for the tactile information detected through the various equipment mentioned above to be converted into text in the Google Earth program, which is a component of the 'UN word'. Since this network is matched one-to-one with the network formed within the special sensor material to execute autonomous driving, it is compatible, and the textified tactile information arriving at a part of the special sensor material is recognized (processed) by the autonomous driving device.

[0129] One combination of ㉷, ㉸, and ㉹ in 'Table 3', one combination of the icon indicating the direction of the Google Earth program and the height looking down, and one combination of certain components of the network formed on the special sensor material are each considered to be matched with each other in a 1:1:1 ratio.

[0130] The above paragraph can be summarized as follows.

[0131] One combination formed by aggregating a group of 22,309 neurons contained in the first-order morpheme, which is a component of the longitudinal edge of the parietal lobe; a group of 22,309 neurons contained in the second-order morpheme, which is a component of the transverse edge; and a group of 22,309 neurons contained in the third-order morpheme, which is a component of the height edge — one combination of a directional icon in the Google Earth program and a downward-looking height — one combination of specific components of a network formed in a special sensor material

[0132] Therefore, it is assumed that the function of special sensory substances can replace the function of the cerebral cortex through mediation, such as the components of 'UN words'.

[0133] 20. When driving autonomously along the above path, there may also be a method using micro-robots.

[0134] Memory related to the three types mentioned above refers to the ability to register and store certain information and then retrieve it at an appropriate time.

[0135] Overall flow chart

[0136] Example 1

[0137] Artificial intelligence (AI) technology is a technology that implements high-level information processing activities, such as human cognition, learning, and reasoning, based on ICT.

[0138] The contents of the table below, which are data utilization technologies, are combined with artificial intelligence (AI)

[0139] It is expressed as AI + IBCM.

[0140] In other words, Artificial Intelligence (AI) technology = AI + IBCM

[0141] Special sensor materials, such as 'UN words' or components of 'UN words', are added to the above artificial intelligence (AI) technology to enable it to perform functions similar to the cerebral cortex.

[0142] Therefore, AI + IBCM + 'UN word' or components of the 'UN word', etc. + special sensor material

[0143] = Artificial intelligence (AI) technology + 'UN word' or components of the 'UN word', etc. + special sensor material

[0144] = Functions similar to the cerebral cortex

[0145]

[0146] 21. Of the parietal lobe of the cerebral cortex, 'Table 3' The language area presented in is executed in web programs with URLI addresses (internet addresses) such as http: / / 구백년을돌려주면-지도단어-소2.com and http: / / 구백년을돌려주면-지도단어-주2.com and http: / / newsai.cc, etc., and components of ‘UN word’, ‘UN word’, etc.

[0147] of 'Table 3' Since the language area of ​​the parietal lobe presented in [the text] is the place where characters are made into words and made meaningful, the language area is converted into a rectangle, then converted into a square, and then converted (replaced) into one or more 'UN words' and 'Google Earth' programs via conversion to 'Online Shape Word 4'.

[0148] The language area of ​​the parietal lobe is the most suitable area for large-scale language modeling.

[0149] 22. An individual thinks about or remembers a specific object in the frontal lobe of the cerebral cortex, and the thought or memory is exposed as a search term in a search bar of a portal site, and the search term is converted into a combination of a direction-pointing icon and a downward-looking height (special language) in the Google Earth program, and then a special sensor material mounted on a robot is connected to a part of it.

[0150] Alternatively, an individual thinks about or remembers a specific object in the frontal lobe of the cerebral cortex, and the thought or memory is exposed as a search term in a search bar of a portal site, and the search term is converted into a combination of a direction-pointing icon and a downward-looking height (special language) in the Google Earth program, then connected to a part of a special sensor material mounted on a robot and also connected to a satellite.

[0151] 23. A in Fig. 2 is a space containing one morpheme assigned code number 1 among 540 morphemes in a web program with a URL address of http: / / newsai.cc, and in this space, one detailed function assigned code number 1 among 540 detailed functions among the four lobes of the cerebral cortex is included as shown in 'Table 4'.

[0152] Figure 2B is a space containing one morpheme assigned code number 1 among 540 morphemes in a web program with a URL address of http: / / newsai.cc, and in this space, one detailed function assigned code number 1 among 540 detailed functions among the four lobes of the cerebral cortex is included as shown in 'Table 5'.

[0153] Figure 2C is a space containing one morpheme assigned code number 1 among 540 morphemes in a web program with a URL address of http: / / newsai.cc, and in this space, one detailed function assigned code number 1 among 540 detailed functions among the four lobes of the cerebral cortex is included as shown in 'Table 6'.

[0154] 24. In accordance with "Paragraph 4" above, among the vertical, horizontal, and height corners of the square model, the small squares assigned code numbers from 1 to 150 each are the frontal lobe region, and the small squares assigned code numbers from 151 to 350 are the parietal lobe region.

[0155] The small squares with code numbers 351 through 440 are the temporal lobe regions, and the small squares with code numbers 441 through 540 are the occipital lobe regions.

[0156] Refer to Fig. 2.

[0157] The detailed functional descriptions of the four lobes of the internal cortex according to the above code numbers are as shown in 'Table 4' to 'Table 6'.

[0158] The 540 detailed functions in the 'Table' below are matched one-to-one with 540 English morphemes, making them compatible.

[0159] [Table 4]

[0160]

[0161]

[0162]

[0163] The 540 items in the above item ㉰ are paired with each other in a 1:1 ratio with 540 different sensor materials.

[0164] [Table 5]

[0165]

[0166]

[0167]

[0168] The 540 items in the above item ㉰ are paired with each other in a 1:1 ratio with 540 different sensor materials.

[0169] [Table 6]

[0170]

[0171]

[0172]

[0173] The 540 items in the above item ㉰ are paired with each other in a 1:1 ratio with 540 different sensor materials.

[0174] 25. When creating one English word according to the contents of 'Table 4', 'Table 5', and 'Table 6' above, the last morpheme must be a morpheme that is matched with a function belonging to the frontal lobe.

[0175] An individual [does] a certain object town hall This is because you have to remember, make judgments, or do other things after doing it.

[0176] Among the underlined words 'Si' above, the morpheme located in the first position of the English word 'Si' must be a morpheme matched with a function belonging to the occipital lobe, and the morpheme located in the second position of the English word 'Cheong' must be a morpheme matched with a function belonging to the temporal lobe. Effects of the invention

[0177] The first stage of the development process for a device that acts as a substitute for human brain functions using 'UN words' or components of 'UN words' to permanently maintain perception, memory, cognition, self-consciousness, identity, and intelligence even after the death of an individual has been completed. Brief explanation of the drawing

[0178] Fig. 1 Figure 1 presents a roadmap for sequential recall (memory) by a method of executing 'Online Shape Word 3' connected to 'Online Shape Word 4', a component of 'UN Word', in the frontal lobe of the cerebral cortex. It is assumed that there are 10 billion neurons in the cerebral cortex, and 3 billion of them in the frontal lobe. Figure 1 shows the functions of neuron groups or neurons distributed in the frontal lobe. Figure 1 is running on a web program with the URL address http: / / 구백년을돌려주면-지도단어-소2.com and illustrates the process of memory recall through the function of neuron groups or neurons distributed in the frontal lobe of the human cerebral cortex. However, biologically, memory is recalled and stored through the recombination of proteins located in synapses, which are part of neurons. ① through ⑧: Primary path ⑨ through ⑪: Secondary path Fig. 2 Figure 2A is a space containing one morpheme assigned code number 1 among 540 morphemes in a web program with a URL address of http: / / newsai.cc, and in this space, one detailed function assigned code number 1 among 540 detailed functions among the four lobes of the cerebral cortex is included as shown in 'Table 4'. Figure 2B is a space containing one morpheme assigned code number 1 among 540 morphemes in a web program with a URL address of http: / / newsai.cc, and in this space, one detailed function assigned code number 1 among 540 detailed functions among the four lobes of the cerebral cortex is included as shown in 'Table 5'. Figure 2C is a space containing one morpheme assigned code number 1 among 540 morphemes in a web program with a URL address of http: / / newsai.cc, and in this space, one detailed function assigned code number 1 among 540 detailed functions among the four lobes of the cerebral cortex is included as shown in 'Table 6'. Specific details for implementing the invention

[0179] The specific details for implementing the invention are as described in the 'Examples' below.

[0180] [Example]

[0181] 1. Recalling memories of the past

[0182] a. A cat appears within the line of sight and range of a camera connected to a web program whose URL address, a component of the 'UN word,' is http: / / 구백년을돌려주면-지도단어-소2.com → The AI ​​mounted on the camera photographs the cat → The captured image is scanned (touched on the QR code) → An image search is performed in an internet search bar → Associative memory is formed by a micro-robot or a specific icon representing an AI driving like an autonomous vehicle along a pre-set path as shown below.

[0183] B. Perform associative memory using a method similar to the method presented in the above paragraph, or use a different method.

[0184] C. Therefore, memories are recalled sequentially (associative activity) through a procedure (pathway) like the example below.

[0185] ① Primary path

[0186] Cat ▶ Cat's Claws ▶ The youngest daughter whose hand was scratched by a cat's claws ▶ November 2004 ▶ Novelist Hemingway's House ▶ The southernmost point of Key West ▶ Cuba, 90 miles across the ocean ▶ Havana, the capital of Cuba

[0187] ② Secondary path

[0188] ▶ The Old Man and the Sea ▶ Similar but Undefeated ▶ Solitary Heroism

[0189] A secondary path is derived from 'Cuba, 90 miles across the sea', and a secondary path is derived from location ⑦ in Fig. 1.

[0190] A specific individual sets up a list of priority events in order, starting with the most impressive or shocking events of their life so far, as in the paths of the above examples, by uploading them in advance to the 'UN word' or components of the 'UN word' over a long period.

[0191] The pathway through which the above memory is recalled is a case applicable only to a specific individual. This is because the youngest daughter of that specific individual had the experience of having the back of her hand scratched by a cat's claws while visiting the Hemingway house with her family. Therefore, one or more servers must be established per person.

[0192] In particular, the medium connecting the aforementioned cat and the novel title 'The Old Man and the Sea' is 'cat's claws', 'the youngest daughter whose hand was scratched by a cat's claws', 'November 2004', 'the house of novelist Hemingway', 'the southernmost point of Key West', and 'Cuba 90 miles across the sea'.

[0193] If the above primary path is expressed as 'word address 1', it is as follows.

[0194] (375-10 1) ▶ (375-10 486-9) ▶ (394-1 406-1-2 471-1 157-5 337-1 526-7 202-1 291-2 375-10 486-9) ▶ (402-1-11 * 59-8 59-9 402-1-2004) ▶ (441-3 407-1 415-1-13 376-4) ▶ (260-5 393-2 471-4-2 390-9 390-10 415-2-1-628) ▶ (415-2-100 * 412-1 402-1-90 372-3 88-1 18-1 516-1) ▶ (415-2-100-1 354-1 415-2-100 * 412-1)

[0195] If the above primary path is expressed as 'word address 2-2', it is as follows.

[0196] (34°57'57.6"SO°39'57.6"E) ▶ (34°57'57.6"S 36°O3'57.6"W) ▶(41°03'18.0"S 89°46'40.8"W 17,419.279km 5,815.687km 12,451.571km 19,484.403km 7,464.082km 10,767.022km 13,884.786km 17,998.995km) ▶ (43°42'5O.4"S 39°O9'57.6"E 14,859.339km) ▶ (56°54'57.6"S 89°16'55.2"W 15,343.041km 13,899.195km) ▶ (3°19'58.8"N 98°24'OO.O"W 17,447.061km 14,442.906km 14,446.611km 15,350.450km)

[0197] ▶ (67°15'00.0"N 110°09'57.6"E 6,514.643km 19,081.046km)

[0198] ▶ (48°07'58.8"S 92°34'19.2"W 13,779.844km 3,231.966km 634.354km 19,081.046km)

[0199] ▶ (48°07'58.8"S 124°33'21.6"W 15,350.450km)

[0200] If the above secondary path is expressed as 'word address 1', it is as follows.

[0201] ▶ (69-2 166-1 176.20 516-1)

[0202] ▶ (472 380-2 67-2 176-22 398-1 472 380-2 398-1 438-1)

[0203] ▶ (405-1 26-5 343-1)

[0204] * (415-2-100 * A secondary path is derived from 412-1 402-1-90 372-3 88-1 18-1 516-1), and in Fig. 1, a secondary path is derived from position ⑦.

[0205] If the above secondary path is expressed as 'word address 2-2', it is as follows.

[0206] ▶ (67°15'00.0"N 110°09'57.6"E 6,514.643km 19,081.046km)

[0207] ▶ (67°19'58.8"S 106°39'57.6"W 2,459.628km 6,517.866km 14,715.169km 17,484.103km 14,076.185km 14,715.169km 16,193.762km)

[0208] ▶ (44°45'00.0"S 17°08'24.0"E 12,687.087km)

[0209] A secondary path is derived from (48°07'58.8"S 92°34'19.2"W 13,779.844km 3,231.966km 634.354km 19,081.046km), and in Fig. 1, a secondary path is derived from location ⑦.

[0210] When the above paths are displayed as images in a web program with the URL address http: / / 구백년을돌려주면-지도단어-소2.com, it is as shown in Fig. 1.

[0211] Among the above paths, the URL address of the video where 'novelist Hemingway's house' is converted into 'UN words' and presented is as follows.

[0212] https: / / www.youtube.com / watch?v=-Hx_cGXvKnM

[0213] Among the above primary routes, 'cat' ▶ 'cat's claw' ▶ 'youngest daughter whose hand was scratched by a cat's claw' ▶ November 2004 ▶ 'novelist Hemingway's house' ▶ 'southernmost point of Key West' are memories recalled through past experiences, and 'Cuba, 90 miles across the sea' ▶ 'Havana, the capital of Cuba' are memories recalled through past learning.

[0214] 2. 'Creating new memories' means 'deep learning'.

[0215] The learning process begins with sensory signals being transcribed in the cerebral cortex.

[0216] Then, the transcribed content is transmitted to the hippocampus, where new memories are formed.

[0217] Long-term memories are established in the hippocampus and reconnected to the cerebral cortex for storage.

[0218] A web program with a URL address of http: / / 구백년을돌려주면-지도단어-주2.com and a web program with a URL address of http: / / newsai.cc and

[0219] A system must be established capable of automatically manipulating the 'UN word' and its components, which are being executed in web programs such as http: / / 구백년을돌려주면-지도단어-소2.com, so that they can serve as a medium connecting the functions of the aforementioned cerebral cortex and hippocampus with special substances that perform those same functions. Industrial applicability

[0220] The first stage of the development process for a device that acts as a substitute for human brain functions using 'UN words' or components of 'UN words' has been completed in order to permanently maintain intelligence, memory, consciousness, self-awareness, identity, and intelligence even after a human individual dies. Explanation of the symbols

[0221] Fig. 1 ① through ⑧: Primary path ⑨ through ⑪: Secondary path

Claims

Claim 1 1. The direct means used to solve the task are as follows: a. The web program in which the paths presented in the example of the 'Example' below are executed is the web program with a URL address of http: / / 구백년을돌려준면-지도단어-소2.com, but it is executed in the same way in the web program with http: / / 구백년을돌려준면-지도단어-주2.com, the web program with http: / / newsai.cc, and the program with https: / / earth.google.com / web / @. b. 'cube word', 'map word', 'online shape word', 'online shape word 1', 'online shape word 2', 'online shape word 3', 'online shape word 4', 'mother of website word', 'website word', 'URL address word', 'UN word', space word, etc. D. Naver, Daum, Microsoft Bing, Zoom, Nate, Google’s portal sites, YouTube, Facebook, X, Instagram, KakaoStory, Naver Blog’s SNS websites, Google Maps program, Google Earth program E. ‘UN word’ or component(s) of ‘UN word’ F. Internet of Things (IOT), Big Data, Cloud, Mobile F. Robots and special sensor materials mounted on said robots, etc.

2. The indirect means used to solve the task are as follows: GPS, cameras, goggles, various sensors, computers, mobile phones, ground drones, UAM, aircraft, artificial satellites, etc.

3. The equation as shown in ‘Table 1’ holds true by the ‘Im Chae-hwan Conversion Method’, ‘Im Chae-hwan Conversion Method 2’, and ‘Im Chae-hwan Conversion Method 3’. [Table 1] 4. Among the vertical, horizontal, and vertical corners of the square model, the small squares assigned code numbers from 1 to 150 each function as the frontal lobe area, the small squares assigned code numbers from 151 to 350 function as the parietal lobe area, the small squares assigned code numbers from 351 to 440 function as the temporal lobe area, and the small squares assigned code numbers from 441 to 540 function as the occipital lobe area. Refer to Figs. 1, 2, and 3. Therefore, since the word address 1 of the English word neurofibromatosis is (179 10 37 524), it is the place (location) where information received from the parietal lobe area, the frontal lobe area, and the occipital lobe area is gathered. Therefore, the English term neurofibromatosis is considered to execute a function that combines the functions acting (processing) in the parietal, frontal, and occipital lobe regions, respectively.[Table 2] Formula for calculating the number of neurons in ㉠ of 'Table 2': Number of small squares constituting the square = 540 × (540 - 1) × (540 - 1) = 156,881,340. Since 156,881,340 contains 2 billion neurons, Each small square contains 63.742 neurons. Therefore, since the vertical corners in ㉠ of the above 'Table 2' consist of 540 small squares, they contain 540 × 63.742 = 34,420.68 neurons. Consequently, since one morpheme in ㉮ of the above 'Table 2' is equivalent to one small square, it contains 63.742 neurons. However, the underlined statement above, "contains 12.748 neurons per small square," is merely an average calculation. Since the cerebral cortex, which is a three-dimensional model, has been transformed into squares, weights must be assigned to the number of neurons contained in each vertical, horizontal, and height corner to ensure fairness in the number of neurons distributed within the cerebral cortex, which is a three-dimensional model with a very thin original thickness (height). In 'Table 2', these weights were not assigned (reflected). [Table 3] Since the parietal lobe indicated in 'Table 3' is the area that forms letters into meaningful words, conversion (replacement) into one or more 'Google Earth' programs via conversion to 'Online Shape Word 4' is most appropriate. Formula for calculating the number of neurons in ㉠ of 'Table 3': Number of small squares constituting a square = 540 × (540-1) × (540-1) = 156,881,340. Since 156,881,340 contains 2 billion neurons, Each small square contains 12.748 neurons.Therefore, since the vertical corners in ㉠ of Table 3 above consist of 540 small squares, they contain 540 × 12.748 = 6,883.92 neurons. Thus, since one morpheme in ㉮ of Table 3 is equivalent to one small square, it contains 12.748 neurons. However, the underlined statement above, "contains 12.748 neurons per small square," is merely an average calculation. Since the cerebral cortex, which is a three-dimensional model, has been transformed into squares, weights must be assigned to the number of neurons contained in each vertical, horizontal, and height corner to ensure fairness in the number of neurons distributed in the cerebral cortex, which is a three-dimensional model with a very thin original thickness (height). In 'Table 3', weights were not assigned (reflected).

5. It is assumed that the total number of neurons distributed in the human cerebral cortex is three times greater than the total number of artificial satellites distributed in space between an altitude of 0 km and 20,003 km above sea level. However, in reality, such a massive number of artificial satellites does not exist in the aforementioned space. Therefore, it is assumed that these massive number of artificial satellites are replaced using IoT (Internet of Things) systems, etc., by the word 'UN', or its components, or by combinations of the direction-pointing icon and the downward-looking height in the Google Earth program, which are components of the word 'UN'. Furthermore, it is assumed that the word 'UN', or its components, or the combinations of the direction-pointing icon and the downward-looking height in the Google Earth program, which are components of the word 'UN', serve as a medium connecting the neuron groups or neurons distributed in the human cerebral cortex with the artificial satellites distributed in space between an altitude of 0 km and 20,003 km above sea level. Therefore, the aforementioned word 'UN', or its components, or 'UN The combination of the Google Earth directional icon and the downward-looking height, which are components of the 'word', is considered (assumed) to be a medium that connects the robot and the satellite.6.Based on the 10 billion neurons distributed throughout the entire cerebral cortex, one English morpheme is considered to be one neuron group containing 63,742 neurons, according to the contents of 'Table 1' and 'Table 2'. Furthermore, the entire cerebral cortex can be divided into four lobes as follows, and the hippocampus and thalamus are not included in the cerebral cortex. Type 1: Replacing the visual area and visual association area of ​​the occipital lobe of the cerebral cortex with 'UN word' or components of 'UN word'. Type 2: Replacing the auditory area and auditory association area of ​​the temporal lobe of the cerebral cortex with 'UN word' or components of 'UN word'. Type 3: Replacing the frontal lobe of the cerebral cortex, which is primarily responsible for memory functions, with 'UN word' or components of 'UN word'. Type 4: Replacing the parietal lobe of the cerebral cortex, which is primarily responsible for perceptual and language cognition functions, with 'UN word' or components of 'UN word'. Type 5: The function of creating new long-term memories (learning), that is, converting short-term memories into long-term memories. Type 6: Replacing the functional hippocampus with 'UN words' or components of 'UN words'; also replacing the thalamus with 'Online Shape Word 4'. Type 1 presents a roadmap for sequential recall (memory) by executing 'Online Shape Word 3', which is connected to 'Online Shape Word 4', a component of 'UN words', in the frontal lobe of the entire cerebral cortex. It is assumed that there are approximately 10 billion neurons in the entire cerebral cortex, and among them, 3 billion neurons are assumed to be in the frontal lobe. Figure 1 presents the neuron groups or functions of neurons distributed in the frontal lobe.

7. The above "Type 3" is executed as in the 'Example' below. As shown in the pathway presented in the 'Example' below, the most impressive or most shocking events from a specific individual's life since birth are prioritized, selected as words (text), and then the components of 'UN words' are executed. specific internet (mobile) platformWords are uploaded in advance and paths are set. The internet address (URLI address) of the underlined part above is http: / / 구백년을돌려주면-지도단어-소2.com. Although it is difficult to perfectly analyze the ultrafine functions of each individual neuron among the 3 billion neurons distributed in the frontal lobe out of the approximately 10 billion neurons distributed in the cerebral cortex as in 'Table 3', it is assumed that the neuron group distributed in the single combination of ㉴, ㉵, and ㉶ in 'Table 3' and the single combination of the Google Earth program's directional icon and the downward-looking height, which are components of the 'UN word', are functionally matched in a 1:1 ratio.

8. Among the visual and visual association areas of the occipital lobe presented in Type 1 above, a device is developed such that one combination of a neuron group distributed to the morpheme in the first order (component of the vertical corner) according to [Table 1] and [Table 3], one neuron group distributed to the morpheme in the second order (component of the horizontal corner) and one neuron group distributed to the morpheme in the third order (component of the height corner) and one combination of the Google Earth program's direction-pointing icon and the downward-looking height, which are components of the 'UN word', are matched 1:1 with each other. Therefore, since it is assumed that all remaining neuron groups are also matched 1:1 with each other in the same manner as above, if the combinations of the Google Earth program's direction-pointing icon and the downward-looking height are networked with each other, the neuron groups are also networked with each other, and if the same neuron groups are networked with each other, the same combinations are also networked with each other. 9.Among the auditory area and auditory association area of ​​the temporal lobe presented in the above Type 2, a device is developed such that one combination of a neuron group distributed to the morpheme in the first order (component of the vertical corner) according to [Table 1] and [Table 3], one neuron group distributed to the morpheme in the second order (component of the horizontal corner) and one neuron group distributed to the morpheme in the third order (component of the height corner) and one combination of the Google Earth program's direction-pointing icon and the downward-looking height, which are components of the 'UN word', are matched 1:1 with each other. Therefore, since it is assumed that all remaining neuron groups are also matched 1:1 with each other in the same manner as above, if the combinations of the Google Earth program's direction-pointing icon and the downward-looking height are networked with each other, the neuron groups are also networked with each other, and if the same neuron groups are networked with each other, the same combinations are also networked with each other.

10. Among the frontal lobes presented in the above three types, a device is developed such that one combination of a neuron group distributed to the morpheme in the first order, which is a component of the vertical corner according to [Table 1] and [Table 3], one neuron group distributed to the morpheme in the second order, which is a component of the horizontal corner, and one neuron group distributed to the morpheme in the third order, which is a component of the height corner, and one combination of the Google Earth program's direction-pointing icon and the downward-looking height, which is a component of the 'UN word', are matched 1:1 with each other. Therefore, since it is assumed that all remaining neuron groups are also matched 1:1 with each other in the same manner as above, if the combinations of the Google Earth program's direction-pointing icon and the downward-looking height are networked with each other, the neuron groups are also networked with each other, and if the same neuron groups are networked with each other, the same combinations are also networked with each other.11.Among the parietal lobes presented in the above 4 types, a device is developed such that one combination of a neuron group distributed to the morpheme in the first order, which is a component of the vertical corner according to [Table 1] and [Table 3], one neuron group distributed to the morpheme in the second order, which is a component of the horizontal corner, and one neuron group distributed to the morpheme in the third order, which is a component of the height corner, and one combination of the Google Earth program's direction-pointing icon and the downward-looking height, which is a component of the 'UN word', are matched 1:1 with each other. Therefore, since it is assumed that all remaining neuron groups are also matched 1:1 with each other in the same manner as above, if the combinations of the Google Earth program's direction-pointing icon and the downward-looking height are networked with each other, the neuron groups are also networked with each other, and if the same neuron groups are networked with each other, the same combinations are also networked with each other.

12. The single icon indicating the direction of the Google Earth program, which is a component of the above 'UN word', refers to the coordinates at the tangent point where lines of latitude and longitude meet—that is, a location formed by the combination of latitude and longitude. An example of 'Word Address 2-2' is expressed as follows, referring to the combination of the underlined component located in the first position and the component located in the second position. (5. 6°54'57.6"S 89°16'55.2"W15,343.041 km)13. The following 'Example' describing the execution steps of Fig. 1 requires that one server be matched per individual to thoroughly protect personal information, as the individual human being is a memory association device related to identity. Therefore, if there are 100 million people, there must be 100 million devices acting as human substitutes (AI-equipped robots) with embedded internet (mobile) platforms where 'UN words' are executed, and since there is one server per such device, the total number of servers must also be 100 million.

14. The above 'Type 1' through 'Type 4' may be executed as individual lobes (regions) as shown in 'Table 3', or as combined lobes (regions) as shown in 'Table 2'.

15. The reason a part of the special sensor material to be mounted on the robot replaces the functions of the visual area and visual association area of ​​the occipital lobe of the cerebral cortex of Type 1 mentioned above is that a collection of combinations of the direction-pointing icon and the downward-looking height of the Google Earth program, which are components of the 'UN word,' or a part of said collection, functions as a medium connecting the visual area and visual association area of ​​said occipital lobe with the part of said special sensor material. The reasons why the said collection of combinations (network) or a part of said collection can function as a medium are as follows: a. Because, based on the contents of 'Table 1,' the occipital lobe is converted into a rectangular prism or a cube and then converted into the Google Earth program. b. Because an autonomous driving device is installed on a part of said special sensor material so that it can recognize the shape, color, and brightness of objects, just like the visual area and visual association area of ​​said occipital lobe. c.This is because, as the neuron groups or neurons distributed in the occipital lobe are networked, a part of the assembly of the aforementioned combination is also networked, and an autonomous driving device is installed on a part of the sensor material, the autonomous driving device is developed based on networking such as the Google Earth program or based on the networking presented in Fig. 1; consequently, according to 'Table 1', the network of neuron groups or neurons, the network of a part of the assembly of the aforementioned combination, and the network installed on the special sensor material can be matched in a 1:1:1 ratio, thereby ensuring compatibility. Just as visual information detected through sensory organs related to the eyes is converted into electrochemical visual information via the thalamus and arrives at the cerebral cortex for recognition (processing), visual information detected through various equipment (camera, goggles, etc.) mounted on a robot that replaces the sensory organs related to the eyes... Converted into textual visual information in the Google Earth program, a component of 'UN words'Upon arrival at the special sensor material, it is recognized (processed) by the autonomous driving device. The underlined part above is explained as follows: a. One of the techniques for converting detected visual information into text: The visual information is captured and converted into a QR code to extract the text. b. A network is required for the visual information detected through the various equipment (camera, goggles, etc.) above to be converted into text in the Google Earth program, which is a component of the 'UN word'. Since this network is paired 1:1 with the network formed within the special sensor material to execute autonomous driving, compatibility is possible, and the textualized visual information arriving at the special sensor material is recognized (processed) by the autonomous driving device. It is assumed that one combination of ㉮, ㉯, and ㉰ in 'Table 3', one combination of the direction-indicating icon in the Google Earth program and the downward-looking height, and one combination of certain components of the network formed in the special sensor material are each paired 1:1:1 with each other. The above paragraph can be summarized as follows. Among the occipital lobe (visual area and visual association area), the group of 12,748 neurons included in the morpheme located in the first order, which is a component of the vertical edge, the group of 12,748 neurons included in the morpheme located in the second order, which is a component of the horizontal edge, and the third order located, which is a component of the vertical edge 16. One combination of a group of 12,748 neurons included in a morpheme, one combination of an icon indicating direction in the Google Earth program and a downward-looking height, and one combination of certain components of a network formed in a special sensor material. In the above paragraph 15, visual information detected through various equipment (camera, goggles, etc.) is not converted into text in the Google Earth program, and the detected visual information can be directly searched for in the Google Earth program to find an image or video that matches the visual information.The reason a portion of the special sensor material to be mounted on the robot replaces the functions of the auditory area and auditory association area of ​​the temporal lobe within the cerebral cortex of the aforementioned Type 2 is that the combination of the direction-pointing icon and the downward-looking height of the Google Earth program, which are components of the 'UN word,' or a portion of such a combination, functions as a medium connecting the auditory area and auditory association area of ​​the same temporal lobe with the portion of the special sensor material. The reasons why the aforementioned combination (network) or a portion of such a combination can function as a medium are as follows: a. Based on the contents of 'Table 1,' the temporal lobe is converted into a rectangular prism or a cube, and then converted into the Google Earth program. b. An autonomous driving device is installed on a portion of the aforementioned special sensor material so that it can recognize sound intensity, sound quality, and sound location, just like the auditory area and auditory association area of ​​the temporal lobe. c. This is because, as the neuron groups or neurons distributed in the temporal lobe are networked, a part of the said combination is also networked, and an autonomous driving device is installed on a part of the said special sensor material, the autonomous driving device is developed based on networking such as the Google Earth program or based on the networking presented in Fig. 1; consequently, according to 'Table 1', the network of neuron groups or neurons, the network of a part of the said combination, and the network installed on the special sensor material can be matched in a 1:1:1 ratio, thus ensuring compatibility. Just as auditory information detected through sensory organs related to the ear is converted into electrochemical auditory information via the thalamus and arrives at the cerebral cortex for recognition (processing), auditory information detected through various equipment (sound devices such as speakers) mounted on a robot replacing the said sensory organs related to the ear... Converted into textual auditory information in the Google Earth program, a component of 'UN words'It arrives at the special sensor material and is recognized (processed) by the autonomous driving device. The underlined part above is explained as follows. A network is required for auditory information detected through the various equipment (sound devices such as speakers) above to be converted into text in the Google Earth program, which is a component of the 'UN word'. Since this network is paired 1:1 with the network formed within the special sensor material to execute autonomous driving, it is compatible, and thus textualized auditory information arriving at a part of the special sensor material is recognized (processed) by the autonomous driving device. It is assumed that one combination of ㉱, ㉲, and ㉳ in 'Table 3', one combination of the direction-indicating icon in the Google Earth program and the downward-looking height, and one combination of certain components of the network formed in the special sensor material are each paired 1:1:1 with each other. The above paragraph can be summarized as follows: Among the temporal lobe (primarily the auditory area and auditory association area), the group of 9,561 neurons included in the morpheme located in the first order, which is a component of the vertical edge, the group of 9,561 neurons included in the morpheme located in the second order, which is a component of the horizontal edge, and the third order located, which is a component of the vertical edge 18. One combination of a group of 9,561 neurons included in a morpheme, one combination of a direction-pointing icon in the Google Earth program and a downward-looking height, and one combination of certain components of a network formed in a special sensor material. The reason why a part of the special sensor material to be mounted on the robot replaces the functions of the memory area and memory association area of ​​the frontal lobe of the cerebral cortex of the above 3 types is that the set of combinations of the direction-pointing icon in the Google Earth program and the downward-looking height, which are components of the 'UN word' (network = network), or a part of the same set of combinations, functions as a mediator connecting the memory area and memory association area of ​​the same frontal lobe and the part of the same special sensor material.The reason why the aggregate of the above combination (network = network) or a part of said aggregate can function as a medium is as follows: a. Based on the contents of 'Table 1', this is because the frontal lobe is transformed into a rectangular prism or a cube and then converted into one or more Google Earth programs. b. Just as the occipital lobe first recognizes the shape, color, and brightness of an object, and then the memory area of ​​the frontal lobe stores and remembers (retrieves, recalls), this is because a network (networking) serving as the basis for the installation of an autonomous driving device for such memory (retrieves, recalls) is present in a part of the above special sensor material. c. This is because, as the neuron groups or neurons distributed in the frontal lobe are networked, a part of the assembly of the aforementioned combination is also networked, and an autonomous driving device is installed on a part of the sensor material, the autonomous driving device is developed based on networking such as the Google Earth program or based on the networking presented in Fig. 1; consequently, according to 'Table 1', the network of neuron groups or neurons, the network of a part of the assembly of the aforementioned combination, and the network installed on the special sensor material can be matched in a 1:1:1 ratio, thereby ensuring compatibility. Just as visual information detected through sensory organs related to the eyes is converted into electrochemical visual information via the thalamus, arrives at the occipital lobe of the cerebral cortex for recognition (processing), and is then stored and remembered (recalled) in the frontal lobe, visual information detected through various equipment (camera, goggles, etc.) mounted on a robot replacing the sensory organs related to the eyes... Converted into textual visual information in the Google Earth program, a component of 'UN words'After arriving at a part of the special sensor material, it is recognized (processed) by the autonomous driving device, arrives at another part of the special sensor material that functions as the frontal lobe, is stored, and is remembered (recalled) by another autonomous driving device. ---Refer to Fig.

1. The underlined part above is explained as follows. A network is required for the visual information detected through the various equipment (camera, goggles, etc.) above to be converted into text in the Google Earth program, which is a component of the 'UN word'. Since this network is paired 1:1 with the network formed within the special sensor material to execute autonomous driving, it is compatible; thus, textualized visual information arriving at a part of the special sensor material is recognized (processed) by the autonomous driving device, stored in another part of the special sensor material that acts as a substitute for the function of the frontal lobe, and remembered (recalled) by another autonomous driving device. It is assumed that one combination of ㉴, ㉵, and ㉶ in 'Table 3', one combination of the direction-indicating icon in the Google Earth program and the downward-looking height, and one combination of certain components of the network formed in the special sensor material are each paired 1:1:1 with each other. The above paragraph can be summarized as follows: A group of 19.12 neurons included in the morpheme located in the first order, which is a component of the vertical edge of the frontal lobe, and neurons included in the morpheme located in the second order, which is a component of the horizontal edge. 19.12 neuron groups and 19 neurons included in the morpheme located in the third order, which is a component of the height edge.One combination taken by 12 neuron groups — one combination between the icon indicating direction in the Google Earth program and the downward height — one combination of certain components of a network formed in a special sensor material. Just as information obtained through sensory organs (e.g., the shape of a detected cat) is recognized in the visual area of ​​the occipital lobe, stored in the frontal lobe, and then remembered (retrieved, recalled), when information obtained through various devices replacing various sensory organs of the human body (e.g., the shape of a detected cat) is transmitted to the components of a 'UN word,' etc., because the same information is converted into text or image and pre-stored in the components of the same 'UN word,' etc., as in the case of the 'Example' below, since the above information is located at the starting point of a path already set in the components of the same 'UN word,' etc., the same path is created in the network formed within the special sensor material that is interconnected with the network serving as the basis for setting the path, thereby allowing the memory to be retrieved (recalled) in succession. In other words, it is associated. To put it another way, when a specific icon travels along a path already set within the components of the 'UN word,' autonomous driving is also achieved along the same path generated within the special sensor material.

19. The reason a part of the special sensor material mounted on the robot replaces the function of the parietal lobe among the cerebral cortex of the aforementioned Type 4 is that the aggregate (network) of combinations of the direction-pointing icon and the downward-looking height of the Google Earth program, which is a component of the 'UN word,' or a part of such an aggregate, functions as a medium that connects the tactile area and tactile association area of ​​the parietal lobe with the part of the special sensor material. The reason why the aggregate of the above combination (network) or a part of such an aggregate can function as a medium is as follows: a. Based on the contents of 'Table 1,' the parietal lobe is converted into a rectangular prism or a cube, and then converted into the Google Earth program. b.This is because an autonomous driving device is installed on a part of the aforementioned special sensor material so that it can recognize skin itching, pain, etc., like the tactile area and tactile association area of ​​the parietal lobe. This is because, as the neuron groups or neurons distributed in the parietal lobe are networked, a part of the said combination is also networked, and an autonomous driving device is installed on a part of the said special sensor material, the autonomous driving device is developed based on networking such as the Google Earth program or based on the networking presented in Fig. 1; consequently, according to 'Table 1', the network of neuron groups or neurons, the network of a part of the said combination, and the network installed on the special sensor material can be matched in a 1:1:1 ratio, thereby ensuring compatibility. Just as tactile information detected through sensory organs related to the skin, tongue, etc. is converted into electrochemical tactile information via the thalamus and arrives at the cerebral cortex for recognition (processing), tactile information detected through various equipment mounted on a robot replacing said sensory organs related to the skin, tongue, etc. Converted into text-based haptic information in the Google Earth program, a component of 'UN words'It arrives at the special sensor material and is recognized (processed) by the autonomous driving device. The underlined part above is explained as follows. A network is required for the tactile information detected through the various equipment above to be converted into text in the Google Earth program, which is a component of the 'UN word'. Since this network is paired 1:1 with the network formed within the special sensor material to execute autonomous driving, it is compatible, and textualized tactile information arriving at a part of the special sensor material is recognized (processed) by the autonomous driving device. It is assumed that one combination of ㉷, ㉸, and ㉹ in 'Table 3', one combination of the direction-indicating icon in the Google Earth program and the downward-looking height, and one combination of certain components of the network formed in the special sensor material are each paired 1:1:1 with each other. The above paragraph is summarized as follows: A group of 22,309 neurons included in the first-order morpheme, which is a component of the longitudinal edge of the parietal lobe; a group of 22,309 neurons included in the second-order morpheme, which is a component of the transverse edge; and neurons included in the third-order morpheme, which is a component of the vertical edge. One combination of 22,309 neuron groups aggregated—one combination of the direction-pointing icon in the Google Earth program and the downward-looking height—one combination of certain components of a network formed in a special sensor material. Therefore, it is assumed that the function of the special sensor material can replace the function of the cerebral cortex through the components of the 'UN word', etc., as a medium.

20. When autonomously driving the above path, there may also be a method of using micro-robots. Memory related to the above three types refers to the ability to register and store certain information and then retrieve it at an appropriate time.Overall Flowchart Example 1: Artificial Intelligence (AI) technology is a technology that implements high-dimensional information processing activities, such as human cognition, learning, and reasoning, based on ICT. The contents of the table below, which represent data utilization technologies, are combined with AI and expressed as AI + IBCM. In other words, AI technology = AI + IBCM. By adding 'UN words' or components of 'UN words' and special sensor materials to the above AI technology, it is enabled to perform functions similar to the cerebral cortex. Therefore, AI + IBCM + 'UN words' or components of 'UN words', etc. + special sensor materials = AI technology + 'UN words' or components of 'UN words', etc. + special sensor materials = functions similar to the cerebral cortex.

21. Of the parietal lobe of the cerebral cortex, 'Table 3' The language domain presented in [Table 3] is executed in web programs with URLI addresses (Internet addresses) of http: / / 구백년을돌려주면-지도단어-소2.com and http: / / 구백년을돌려주면-지도단어-주2.com, http: / / newsai.cc, etc., as well as 'UN word', components of 'UN word', etc. Since the language area of ​​the parietal lobe presented in [the text] is the place where letters are made into words and made meaningful, this language area is transformed into a rectangle, then into a square, and through the transformation into 'Online Shape Word 4', it is transformed (replaced) into one or more 'UN Words' and 'Google Earth' programs. Among the parietal lobe, the language area is the most suitable area for large language modeling.

22. An individual thinks about or remembers a specific object in the frontal lobe of the cerebral cortex, and such thought or memory is exposed as a search term in a portal site search bar; the search term is converted into a combination of directional icons and a downward viewing height (special language) in the Google Earth program and then connected to a part of a special sensor material mounted on a robot. Alternatively, an individual thinks about or remembers a specific object in the frontal lobe of the cerebral cortex, and such thought or memory is exposed as a search term in a portal site search bar; the search term is converted into a combination of directional icons and a downward viewing height (special language) in the Google Earth program and then connected to a part of a special sensor material mounted on a robot and also connected to a satellite.

23. Figure 2A is a space containing one morpheme assigned code number 1 out of 540 morphemes in a web program with the URL address http: / / newsai.cc; within this space, one detailed function assigned code number 1 out of 540 detailed functions among the four lobes of the cerebral cortex is included as shown in 'Table 4'. Figure 2B is a space containing one morpheme assigned code number 1 out of 540 morphemes in a web program with the URL address http: / / newsai.cc; within this space, one detailed function assigned code number 1 out of 540 detailed functions among the four lobes of the cerebral cortex is included as shown in 'Table 5'. Figure 2C is a space with the URL address http: / / newsai.In the cc web program, there is a space containing one morpheme assigned code number 1 among 540 morphemes, and in this space, one detailed function assigned code number 1 among 540 detailed functions among the four lobes of the cerebral cortex is included as shown in 'Table 6'.

24. Based on "Section 4" above, among the vertical, horizontal, and vertical corners of the square model, the small squares assigned code numbers from 1 to 150 represent the frontal lobe region, the small squares assigned code numbers from 151 to 350 represent the parietal lobe region, the small squares assigned code numbers from 351 to 440 represent the temporal lobe region, and the small squares assigned code numbers from 441 to 540 represent the occipital lobe region. Refer to Fig.

2. The detailed functional descriptions of the four lobes of the internal cortex according to the above code numbers are as shown in 'Tables 4' through '6'. The 540 detailed functions in the 'Table' below are matched one-to-one with 540 English morphemes, making them compatible. [Table 4]. The 540 items in Item ㉰ above are paired one-to-one with 540 sensor materials of different properties.[Table 5] The 540 items in Item ㉰ above are paired one-to-one with 540 sensor materials of different properties.[Table 6] * The 540 items in the above item ㉰ are paired one-to-one with 540 different sensor materials.

25. When creating one English word according to the contents of 'Table 4', 'Table 5', and 'Table 6' above, the morpheme located at the very end must be a morpheme paired with a function belonging to the frontal lobe. This is because an individual must remember, make judgments, or perform other actions after viewing an object. Among the underlined 'viewing' above, the morpheme 'si' located in the first position of the above English word must be a morpheme paired with a function belonging to the occipital lobe, and the morpheme 'cheong' located in the second position of the same English word must be a morpheme paired with a function belonging to the temporal lobe. Claim 2 In Claim 1:

1. Recalling past memories. A cat appears within the line of sight and range of a camera connected to a web program whose URL address, a component of the 'UN word,' is http: / / 구백년을돌려주면-지도단어-소2.com → An AI mounted on the camera photographs the cat → Scans the captured image (touches the QR code) → Searches for the image in an internet search bar → Associative memory is performed by driving like an autonomous vehicle along a pre-set path as follows, either by a micro-robot or by an AI in the form of a specific icon. b. Associative memory is performed in a manner similar to the method presented in the above paragraph, or by a different method. c. Therefore, memories are recalled sequentially (associative activity) through a procedure (path) as shown in the example below. ① Primary Path: Cat ▶ Cat's claws ▶ Youngest daughter whose hand was scratched by a cat's claws ▶ November 2004 ▶ Novelist Hemingway's house ▶ The southernmost point of Key West ▶ Cuba, 90 miles across the sea ▶ Havana, the capital of Cuba ② Secondary Path: ▶ The Old Man and the Sea ▶ Similar but undefeated ▶ Lonely heroism. A secondary path is derived from 'Cuba, 90 miles across the sea,' and in Fig. 1, a secondary path is derived from location ⑦. A specific individual pre-uploads and sets up, over a long period, priority events—starting from the most impressive or shocking events of their life so far—in order as described in the paths of the above examples, into 'UN words' or components of 'UN words.' The path through which the above memories are recalled is a case applicable only to that specific individual. This is because that specific individual's youngest daughter had the experience of having her hand scratched by a cat's claws while visiting Hemingway's house with her family. Therefore, one or more servers must be established per person. In particular, the mediums connecting the aforementioned cat and the novel title 'The Old Man and the Sea' are 'cat's claws', 'the youngest daughter whose hand was scratched by a cat's claws', 'November 2004', 'the house of novelist Hemingway', 'the southernmost point of Key West', and 'Cuba 90 miles across the sea'.If the above primary path is expressed as 'word address 1', it is as follows: (375-10 1) ▶ (375-10 486-9) ▶ (394-1 406-1-2 471-1 157-5 337-1 526-7 202-1 291-2 375-10 486-9) ▶ (402-1-11. * 59-8 59-9 402-1-2004) ▶ (441-3 407-1 415-1-13 376-4) ▶ (260-5 393-2 471-4-2 390-9 390-10 415-2-1-628) ▶ (415-2-100 * 412-1 402-1-90 372-3 88-1 18-1 516-1) ▶ (415-2-100-1 354-1 415-2-100 *412-1) When the above primary route is expressed as 'word address 2-2', it is as follows: (34°57'57.6"SO°39'57.6"E) ▶ (34°57'57.6"S 36°O3'57.6"W) ▶ (41°03'18.0"S 89°46'40.8"W 17,419.279km 5,815.687km 12,451.571km 19,484.403km 7,464.082km 10,767.022km 13,884.786km 17,998.995km) ▶ (43°42'50.4"S 39°O9'57.6"E 14,859.339km) ▶ (56°54'57.6"S 89°16'55.2"W 15,343.041km 13,899.195km) ▶ (3°19'58.8"N 98°24'OO.O"W 17,447.061km 14,442.906km 14,446.611km 15,350.450km)▶ (67°15'00.0"N 110°09'57.6"E 6,514.643km 19,081.046km)▶ (48°07'58.8"S 92°34,19.2"W 13,779.844km 3,231.966km 634.354km 19,081.046km)▶ (48°07'58.8"S 124°33'21.6"W 15,350.450km)When the above secondary route is expressed as 'Word Address 1', it is as follows.▶ (69-2 166-1 176.20 516-1)▶ (472 380-2 67-2 176-22 398-1 472 380-2 398-1 438-1)▶ (405-1 26-5 343-1)* (415-2-100 *A secondary path is derived from 412-1 402-1-90 372-3 88-1 18-1 516-1), and in Fig. 1, a secondary path is derived from location ⑦. When the above secondary path is expressed as 'word address 2-2', it is as follows: ▶ (67°15'00.0"N 110°09'57.6"E 6,514.643km 19,081.046km)▶ (67°19'58.8"S 106°39'57.6"W 2,459.628km 6,517.866km 14,715.169km 17,484.103km 14,076.185km 14,715.169km 16,193.762km)▶ A secondary path is derived from (44°45'00.0"S 17°08'24.0"E 12,687.087km)* (48°07'58.8"S 92°34'19.2"W 13,779.844km 3,231.966km 634.354km 19,081.046km), and in Fig. 1, a secondary path is derived from location ⑦. When the above paths are represented as images on a web program with the URL address http: / / 구백년을돌려쥬면지도단어-소2.com, it is as shown in Fig.

1. Among the above paths, the URL address of the video presented where 'Novelist Hemingway's house' is converted into 'UN word' is as follows: https: / / www.youtube.com / watch?v=Hx_cGXvKnM Among the above primary paths, 'Cat' ▶ 'Cat's claw' ▶ 'The youngest daughter whose hand was scratched by a cat's claw' ▶ November 2004 ▶ 'Novelist Hemingway's house' ▶ 'The southernmost point of Key West' are memories recalled based on past experiences, while 'Cuba, 90 miles across the ocean' ▶ 'Havana, the capital of Cuba' are memories recalled based on past learning.

2. 'Creating new memories' refers to 'deep learning.' The learning process begins with sensory signals being transcribed in the cerebral cortex. The transcribed data is then transmitted to the hippocampus, where new memories are formed. Long-term memories are established in the hippocampus and reconnected to the cerebral cortex for storage. The URL address is http: / / IfYouDidNineHundredYears-MapWords-Note2.A system must be established to automatically manipulate the 'UN word' and its components, which are being executed in web programs such as com, http: / / newsai.cc, and http: / / 구백년을돌려주면-지도단어-소2.com, so that they can serve as a medium connecting the functions of the aforementioned cerebral cortex and hippocampus with special substances that perform the same functions. Claim 3 In claim 1, also 1, Fig. 2 Claim 4 The 'brief description of the drawings' and 'explanation of the symbols' presented in the 'specification' of this patent application

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