482results about How to "Accurate identification" patented technology

An information processing device includes: a display unit having a touch panel on its front surface; a movement amount calculation unit that calculates the movement amount of a touch operation based on a touch point at which the touch operation is performed with respect to the touch panel and a touch release point at which the touch operation is released from the touch panel; an operation determination unit that determines whether the touch operation is a depression operation or a gesture operation depending on the calculated movement amount; and a command recognition unit that recognizes whether a received command is a command corresponding to the depression operation or the gesture operation.

A method of managing access to enterprise resources is provided. An access manager may operate at a mobile device to validate a mobile application installed at that mobile device. If the access manager does not successfully validate the mobile application, the access manager may prevent the mobile application from accessing computing resource. If the access manager does successfully validate the mobile application, then the access manager may identify the mobile application as a trusted mobile application. The access manager may thus permit the trusted mobile application to access the computing resource.

The invention provides a multi-mode intelligent emotion sensing system comprising a collecting module, a recognition module, and a fusion module. The recognition module consists of an emotion-based emotion recognition unit, a voice-based emotion recognition unit, a behavior-based emotion recognition unit, and a physiological-signal-based emotion recognition unit. All emotion recognition units in the recognition module carry out recognition on multi-mode information to obtain emotion components including emotion types and emotional intensities; and the fusion module fuses the emotion components of the recognition module to realize accurate sensing of body emotions. The multi-mode intelligent emotion sensing system has the following beneficial effects: compared with the prior art, the system is capable of identify emotions accurately to detect real emotions of users with thinking and behaving in disagreement effectively.

A home automation system, for controlling a plurality of uniquely identifiable appliances within a dwelling having several rooms, each room designated as a zone, using a zone controller located within each room. Each appliance has a designated zone according to the room it is located within. Each zone controller is capable of receiving user customizable voice commands. When each voice command is received by one of the zone controllers associated with one of the appliances, a command is transmitted by that zone controller to the associated appliance if within the zone. If the appliance is within another of the designated zones, the zone controller receiving the voice command transmits a command to the zone controller having the same zone designation as that appliance, which in turn transmits the command to the appliance.

Systems and methods are described for identifying a subset of interest from a general population and for monitoring a database of daily activity logs associated with the general population in order to identify database entries indicative of an occurrence of a pre-defined trigger event that is associated with a member of the subset of interest. In particular, systems and methods are described that allow a massive database of daily activity logs to be monitored to identify trigger events that have occurred within the past twenty-four hours or other very recent time period. Embodiments are described that may be advantageously used by a provider of credit-related products and/or services who wishes to accurately target prospective customers, identified by the system, based on occurrence of a trigger event, as being in a decision-making phase of credit shopping, for purposes of making a timely and targeted offering relevant to the customers' current activities.

A probe, a set of probes, and a probe carrier on which the probe or the set of probes is immobilized, are provided for classification of fungus species. The probe or the set of probes is capable of collectively detecting fungus of the same species and distinguishingly detecting those fungus from fungus of other species. The probe is an oligonucleotide probe for detecting a pathogenic fungus DNA and includes at least one of base sequences of SEQ ID NOS. 1 to 2 and mutated sequences thereof.

A probe, a set of probes, and a probe carrier on which the probe or the set of probes is immobilized, are provided for classification of fungus species. The probe or the set of probes is capable of collectively detecting fungus of the same species and distinguishingly detecting those fungus from fungus of other species. The probe is an oligonucleotide probe for detecting a pathogenic fungus DNA and includes at least one of base sequences of SEQ ID NOS. 1 to 4 and mutated sequences thereof.

A probe, a set of probes, and a probe carrier on which the probe or the set of probes is immobilized, are provided for classification of fungus species. The probe or the set of probes is capable of collectively detecting fungus of the same species and distinguishingly detecting those fungus from fungus of other species. The probe is an oligonucleotide probe for detecting a pathogenic fungus DNA and includes at least one of base sequences of SEQ ID NOS. 1 to 4 and mutated sequences thereof.

A probe, a set of probes, and a probe carrier on which the probe or the set of probes is immobilized, are provided for classification of fungus species. The probe or the set of probes is capable of collectively detecting fungus of the same species and distinguishingly detecting those fungus from fungus of other species. The probe is an oligonucleotide probe for detecting a pathogenic fungus DNA and includes at least one of base sequences of SEQ ID NOS. 1 to 4 and mutated sequences thereof.

The invention discloses a radar radiation source recognition method based on a deep learning strategy and a multitask learning strategy and mainly aims to solve the problem that recognition accuracy is low in the prior art. The method comprises the implementation steps that 1, an original radar radiation source signal is subjected to data preprocessing; 2, envelope features, fuzzy function features, slice features, cyclic spectrum features and frequency spectrum features of the preprocessed radar radiation source signal are extracted, and values of the features are linearly transformed into [0,255] and saved as an image set; 3, a convolutional neural network (CNN) is designed, and the multitask learning strategy and a random inactivation strategy are introduced into the CNN; and 4, four feature training sets are used to train the CNN, then four trained CNN models are utilized to classify four feature test sets, and a radar radiation source recognition result is output. The method is high in recognition accuracy and can be applied to electronic intelligence reconnaissance, electronic support reconnaissance and radar threat warning systems.

A video playback apparatus includes a thumbnail creating unit for creating thumbnail image data for a video file, and a user operation unit for receiving an instruction from a user. The thumbnail creating unit divides a total playback duration time T of the video file into 2ˆn intervals and creates the thumbnail image data from the first frame of each of the divided intervals. The thumbnail creating unit then supplies the created thumbnail image data to an image displaying unit to display thumbnail images. Upon the user operation unit receiving a first predetermined operation, the thumbnail creating unit increments the value n by 1 to increase the number of thumbnail images. Upon the user operation unit receiving a second predetermined operation, the thumbnail creating unit decrements the value n by 1 to decrease the number of thumbnail image.

The invention relates to a method for the auxiliary identification of comma bacillus by matrix-assisted laser desorption ionisation-time-of-flight mass spectrometry (MALDI-TOF MS). The method comprises the following steps of: 1, selecting 40 to 45 plants of fresh comma bacillus cultures, and pretreating the samples; 2, collecting maps of all bacterial strain samples; 3, analyzing and unitizing the obtained maps by using BioTyper software to obtain a comma bacillus standard map; 4, preparing samples of microbes to be detected by the step 1; 5, collecting MALDI-TOF MS maps of the samples to be detected according to the step 2; and 6, comparing the MALDI-TOF MS maps, which are obtained in the step 5, of the samples to be detected with the comma bacillus standard map, and determining a detection result according to matching fractions. By the method, a comma bacillus identification mass spectrogram database and the comma bacillus standard map are established successfully, so the simple, convenient, microscale, supermatic and accurate identification of the comma bacillus can be realized.

The invention discloses a method and device for automatically processing a malicious code sample. The method includes the steps of obtaining the malicious code sample, extracting static characteristics from the obtained malicious code sample, matching the static characteristics of the malicious code sample with known static characteristics in a static characteristic library, continuing to extract dynamic behavior characteristics from the malicious code sample if it cannot be judged that the obtained malicious code sample is a malicious code according to the static characteristic library, matching the dynamic behavior characteristics of the malicious code sample with known dynamic behavior characteristics in a dynamic behavior characteristic library, and conducting false alarm feedback if it can be judged that the obtained malicious code sample is not a malicious code according to the dynamic behavior characteristic library so as to prompt that the malicious code sample is a non-malicious code. The malicious code sample can be accurately recognized, and the false alarm rate of the malicious code is lowered.

The invention provides a voice recognition system and a voice recognition method used for individual equipment. The voice recognition method includes the steps of of: acquiring user voice input and recognizing the input voice on the basis of a limited grammar recognition network so as to acquire a first recognition result; in response to the first recognition result which does not satisfy the recognition acceptability condition, recognizing the voice input on the basis of a large vocabulary continuous voice recognition network to acquire a second recognition result; selecting a preferential result from the first recognition result and the second recognition result to be used as the final decoding result for the voice input. The embodiment of the invention provides a new voice recognition method and a new voice recognition device which are capable of supporting intelligent response to continuous voice inputs and quick response to a short voice command under uniform system interfaces.

The invention discloses a method for managing food in a refrigerator. The method for managing the food in the refrigerator comprises the steps that the type and quantity of the food placed in the refrigerator are recognized according to an image shot through an external camera of the refrigerator; the position of the food placed in the refrigerator is determined according to an image shot through an internal camera of the refrigerator; an AR label is generated for the food placed in the refrigerator and used for recording information of the food; the AR label of the inquired food is displayed after a food query request from a user is received, wherein the information of the food at least includes the type, quantity and position of the food; and after an image checking request from the user is received, the image shot by the internal camera in real time is displayed. By adoption of the method for managing the food in the refrigerator, the food in the refrigerator can be managed more efficiently.

An ECU acquires relative position information related to a relative position between a host vehicle and another vehicle (A, B, C) traveling ahead of the host vehicle, and error information related to an error in the relative position, detects the position of a preceding vehicle (A) traveling in front of the host vehicle, identifies the position of the preceding vehicle (A) by comparing the relative position based on the acquired relative position information with the detected position, and if relative position information oh a plurality of other vehicles (A, B, C) is acquired, identifies the position of the preceding vehicle (A) by comparing the relative position based on the acquired relative position information with the detected position, by using a threshold that is varied in accordance with the error information.

The invention discloses a face attribute recognition method and device. A depth residual network is used to train the attribute of a collected face image, and a multi-attribute network training model with multiple face attributes is obtained. The obtained multi-attribute network training model is used to carry out multi-attribute detection on the face attribute of an image to be identified so as to identify the multiple face attributes in the image to be identified. The invention provides the face attribute recognition method and device, the depth residual network is used to train the attribute of the collected face image, the multi-attribute detection of the face attribute of the image to be identified is carried out according to the multi-attribute network training model obtained through specific task training, since a multi-attribute network model can extract a face characteristic with strong expressive ability, the multiple face attributes in the face image can be rapidly and accurately identified.

The invention relates to the field of geological exploration, particularly to a method and a device for identifying the lithologic character of altered volcanic rock. The method comprises the following steps: the relation between the lithologic character of volcanic rock and the corresponding drilling-logging data is established; lithologic character parameters are extracted from the drilling-logging data relating to the lithologic character of the volcanic rock; the extracted lithologic character parameters undergo information fusion, so as to obtain the feature model for drilling and logging the lithologic character of the volcanic rock; the measuring parameters of the volcanic rock to be measured before the drilling-logging are obtained; the measuring parameters of the volcanic rock to be measured are combined to a group identical with the character parameters in the information fusion, so as to be matched with the feature model; and if the matching is successful, the lithologic character of the volcanic rock corresponding to the volcanic rock to be measured is output. The embodiment of the invention can be used for visually, correctly, quickly and effectively identifying the lithologic character of the volcanic rock, and especially the knowledge on the altered volcanic rock is remarkably improved.

The invention relates to a USB (universal serial bus) identity authentication method based on voiceprint recognition and a system thereof, belonging to the technical field of computer information safety. The system comprises a user terminal and an embedded voiceprint recognition hardware system based on USB, wherein the user terminal and the embedded voiceprint recognition hardware system based on USB are connected by a USB bus; the embedded voiceprint recognition hardware system based on USB comprises a central processing unit for finishing authenticated voiceprint recognition operation, and the central processing unit is respectively connected with a voice acquisition unit, a data storage unit, a power supply management module, a state indication module and a USB interface used for connecting the user terminal. The invention has the advantage of higher safety. The invention also can provide third-party application and service voiceprint certification interface, and can expand to fields, such as internet banks, e-commerce, e-government affairs and the like.

The invention features immunoreagents which neutralize the Human Immunodeficiency Virus Type 1 (HIV-1) by binding to a novel conserved epitope of the HIV-1 gp120. These immunoreagents exhibit a broad neutralizing effect upon HIV attachment to host cells, and are therefore useful in the detection, prevention, amelioration and treatment of HIV disease, primarily AIDS (Acquired Immunodeficiency Syndrome) and ARC (AIDS Related Complex). More particularly, the invention relates to novel human monoclonal antibodies selectively reactive to a conserved conformation dependent determinant of the HIV-1 gp120, derivatives thereof, cell lines that produce these antibodies, and the use of the monoclonal antibodies and their derivatives for the detection, prevention, amelioration and treatment of HIV related disease.

The present invention discloses an overall static analysis system for an Android authority-escalated attack, comprising the following units: a suspicion analysis unit configured to separate a program with suspicious characteristics from all programs, the suspicion analysis unit comprising: an authority detection module configured to extract an Android application program sensitive authority, a component detection module configured to identify an Android application program open component, an Intent operation detection module configured to identify Android application program Intent communication, wherein the Intent is an abstract description of an operation to be performed, a file detection module configured to identify Android application program file access, and an identify socket detection module configured to identify network communication between android application programs; and a leakage path analysis unit configured to extract an explicit capability leakage path in the suspicious program, wherein the leakage path analysis unit comprises a module configured to analyze sensitive behavior code, and a module configured to analyze sensitive data transmission code.

The invention discloses a Beidou satellite positioning system-based wireless video monitoring system for a taxi and a monitoring method which are used for recognizing various illegal taxis, in particular to fake-license taxis. The monitoring system comprises a video information acquisition site, a wireless transmission system, a monitoring center and a Beidou receiver. The monitoring method comprises the following steps: an existing vehicle recognition system is combined with the Beidou satellite positioning system; a license plate at the acquisition site is compared with information in a database; if the comparison result matches, position information of two taxis with the same license plate is compared with each other by a message sent by a satellite; and if the comparison result is different, the taxi at the acquisition site is proved to be the fake-license taxi, and if the comparison result is the same, the taxi is proved to be a legal taxi, so that the fake-license taxi is accurately recognized. The monitoring system and the monitoring method can rapidly and accurately recognize the fake-license taxis and various illegal vehicles.

Embodiments leverage wireless data passively collected by access points of a school to correlate a student's behavior with respect to time and place. This data-driven approach can quantify student behaviors and objectively measure and track how students move and interact on campus. For example, if a student accesses a wireless router that is in the same physical location as a class on the student's schedule at the time the class takes place, the correlated time and place quantifies how the student behaves with respect to class attendance. The invention takes the sum of such interactions (e.g., attending classes, studying in the library, etc.) and produces a student engagement score (SES) for each student. The SES is evaluated to determine how student behaviors change over time (e.g., throughout a semester) and whether the student is trending to a low engagement score and thus “at-risk” of dropping out.

The invention provides an image processing method for the centimeter-level precise landing of a UAV (unmanned aerial vehicle), and the method comprises the steps: making a target recognition pattern,enabling the UAV to fly to a place nearby a landing position, capturing an image, enabling a rotary PTZ camera to scan the ground surroundings if there is no target image recognized in a camera view at a current position, searching the target image, and adjusting the UAV to move above the landing point to start the form landing; recognizing the most apparent big rectangle at first in a landing process from a high place; recognizing three small rectangles again after the UAV descends to a certain height, enabling the UAV to land on the ground for recognizing a QR code at the center of the pattern best, determining the center position of the QR code after the target QR code is obtained, obtaining the horizontal distance at the centimeter-level precision, and achieving the centimeter-level precise landing. The method provided by the invention is accurate and reliable in recognition, is high in adaptability, has the centimeter-level precision, and solves the problems that a method for recognizing a QR image from a high place is limited in recognition height, is difficult to adapt to different brightness values and is weak in anti-interference capability.

A control section of an IRD sends an identification start request to a digital bus via a digital input/output terminal. The control section generates an identification display message by controlling an identification display message generation section, makes a superimposition section superimpose the identification display message on an analog video signal, and outputs a resulting signal via an analog output terminal. An information input apparatus allows a user to identify an input terminal connected to the output terminal of the IRD among a plurality of input terminals of the self apparatus by reproducing the identification display message and presenting it to the user.

The present invention provides an emotion recognition method. The method includes the following steps that: the current first physiological parameter value of the user of a terminal is acquired, the current first physiological parameter value is matched with a plurality of preset first physiological parameter values, so that a first emotion model and a first similarity are determined; the current second physiological parameter value of the user of the terminal is acquired, and the current second physiological parameter value is matched with a plurality of preset second physiological parameter values, so that a second emotion model and a second similarity are determined; and an emotion model of the user which is corresponding to the higher similarity in the first similarity and the second similarity is determined as a current emotion model. According to the emotion recognition method, the type of the current first physiological parameter value is different from the type of the current second physiological parameter value. The invention also provides an emotion recognition device, a terminal and a storage medium. With the emotion recognition method, the emotion recognition device, the terminal and the storage medium adopted, emotion recognition accuracy can be improved.

The embodiment of the invention discloses a banknote face orientation identification method and apparatus. The banknote face orientation identification method comprises steps of selecting a first identification area, a second identification area, a third identification area and a fourth identification area of an obtained banknote image according to preset positions; calculating the sum of pixel gray values of the first identification area, the sum of pixel gray values of the second identification area, the sum of pixel gray values of the third identification area and the sum of pixel gray values of the fourth identification area; comparing the sum of the pixel gray values of the first identification area and the sum of the pixel gray values of the second identification area; comparing the sum of the pixel gray values of the third identification area and the sum of the pixel gray values of the fourth identification area; and determining the face orientation of the banknote image according to comparing results. By employing the identification method and apparatus, the input face orientation of an input banknote can be accurately and rapidly identified.

An information processing device executing a graphics identification program detects a trace drawn on an input surface as coordinate points in chronological order. Coordinate points for representing the trace are selected from a group of coordinate points arranged in chronological order. Lengths of line segments obtained by connecting the selected coordinate points in chronological order are calculated. Also, for each line segment, an absolute angle and a relative angle are calculated. A trace graph in an orthogonal coordinate system, whose first axis indicates a line segment distance and whose second axis indicates an angle of a line segment whose start point is one of the selected coordinate points, is compared with a reference graphic graph representing a reference graphic in the orthogonal coordinate system, thereby identifying a reference graphic represented by a reference graphic graph which most closely resembles the trace graph as a shape of the trace.

An image processing device, comprising an obtaining means that obtains color endoscopic image data, a color space conversion means that converts a color space of the color endoscopic image data to an HSI color space based on hue, saturation and intensity or an HSV color space based hue, saturation and a value, a lesion pixel judgment means that judges, for each of pixels constituting a color endoscopic image, whether or not each pixel is a lesion portion based on the hue and the saturation, an overlay processing means that executes an overlay process which changes a color of the pixel judged to be the lesion portion by the lesion pixel judgment means, and an overlay image display means that displays an overlay image obtained by subjecting the color endoscopic image to the overlay process.

A mobile phone 1 according to the present invention stores first broadcast information received from a base station B1, in correspondence with first cell information in a storage unit 5. When the mobile phone 1 receives second cell information from a base station B2, it determines whether there is previously stored cell information identical with the second cell information, in a cell information storage table 51. When the result of the determination is that it is stored, the mobile phone 1 reads out the first broadcast information and transfers to a cell according to the first broadcast information. When it is not stored, the mobile phone receives second broadcast information and transfers to a cell according to the second broadcast information. Namely, the mobile phone 1 makes the cell transfer according to minimum data within a range in which a cell as a potential transfer target can be identified.