302 results about "In real life" patented technology

A gaming device wherein a player's skill at an action or event determines or appears to determine the player's success or failure. In reality, a database of information stores a number of successful results, and the game selects an award for each successful result. The action or event involves skill in real life, which requires the player to estimate the time an action will require and/or requires the player to aim at an object or estimate the direction necessary to successfully produce a result. The game can employ software adapted to determine if a player's aim or timing is successful. The game can alternatively randomly determine the player's success. The game displays the player's attempt or action on the screen depicting success or failure and awards gaming device credits or multipliers for successful results.

A neural network classifier provides the ability to separate and categorize multiple arbitrary and previously unknown audio sources down-mixed to a single monophonic audio signal. This is accomplished by breaking the monophonic audio signal into baseline frames (possibly overlapping), windowing the frames, extracting a number of descriptive features in each frame, and employing a pre-trained nonlinear neural network as a classifier. Each neural network output manifests the presence of a pre-determined type of audio source in each baseline frame of the monophonic audio signal. The neural network classifier is well suited to address widely changing parameters of the signal and sources, time and frequency domain overlapping of the sources, and reverberation and occlusions in real-life signals. The classifier outputs can be used as a front-end to create multiple audio channels for a source separation algorithm (e.g., ICA) or as parameters in a post-processing algorithm (e.g. categorize music, track sources, generate audio indexes for the purposes of navigation, re-mixing, security and surveillance, telephone and wireless communications, and teleconferencing).

The invention provides an improved weighting trilateral positioning method based on RSSI (received signal strength indicator) in a wireless sensor network and relates to the field of node self-positioning in the wireless sensor network. The method is used for solving the problem that a bigger positioning error is easily caused by the using of the traditional method which cannot meet the indoor positioning requirement in real life because the traditional method is limited by the factors such as signal multipath transmission, sight distance, low coordinate calculation precision, and the like. The method provided by the invention comprises the following steps: starting an unknown node positioning function and guiding an unknown node to send out a message; after receiving the message from the unknown node by an anchor node, calculating RSSI and storing in a hardware register; sending the ID number, RSSI value and position information (Xi, Yi) (i is equal to 1,2,...), which are distributed to the anchor node, to the unknown node by the anchor node; sequencing the anchor node according to the size of the received RSSI, and choosing N anchor nodes having big RSSI for self-positioning, wherein N is more than or equal to 3; according to the information of N anchor nodes, confirming the weighted value by the using of the trilateral positioning method; and using a weighting algorithm to calculate the coordinate of the unknown node. The method provided by the invention is used for weighting the coordinate information by utilizing the weighting principle.

An interactive fantasy single sport challenge that allows the participants to compete in the challenge by formulating a portfolio comprising shares of financial instruments in real-life athletes is provided. Each participant in the challenge is initially allotted a predetermined amount of fantasy money units with which to create a portfolio. During the course of the challenge, each participant is allowed to place market orders for the purchase and/or sale of shares of financial instruments in real-life athletes, and the participant receives dividends based on the shares of the financial instruments in real-life athletes contained in the participant's portfolio. The dividend generated by a share of a financial instrument in a real-life athlete is a measurement of the real-life athlete's on-field performance during real-life athletic competitions in which the real-life athlete participates. A winner of the challenge may be determined based on a combination of the dividends distributed to the participant during the course of the challenge and the value of the participant's portfolio.

The invention discloses a target detection method in a Codebook dynamic scene based on superpixels. The method is characterized by comprising the following steps that (1) a superpixel partition method is used for partitioning video frames, K superpixels are obtained by partitioning; (2) a Codebook background modeling method is used, a Codebook is established for each superpixel partitioned in the step (1), each Codebook comprises one or more Codewords, each Codeword has the maximin threshold values during learning, the maximin threshold values are detected, background modeling is completed; (3) after background modeling is completed, currently-entering video frames are subjected to target detection, if a certain pixel value of the current frames accords with distribution of the background pixel values, the certain pixel value is marked as the background, otherwise, the certain pixel value is marked as the foreground; finally the current video frames are used for updating the background model. The method solves the problems that a traditional Codebook background modeling algorithm is large in calculated amount and high in memory requirement, and established Codewords are not accurate are solved, target detecting accuracy and speed are improved, the requirement for real-time accuracy is met, and accordingly the requirement for intelligent monitoring in real life is met.

The invention discloses an automatic parking path planning method and system. The automatic parking path planning method comprises the steps that vehicle position information and parking place position information are obtained; connection path calculation is conducted by combining the vehicle position and the parking place position, and an initial path track of automatic parking is obtained; and the initial path track is subjected to obstacle interference detection, and then an automatic parking path is obtained. The automatic parking path planning system comprises a vehicle positioning module, a parking place detection module, a calculation module and an interference detection module. The vehicle parking path is planned through connection path calculation, the calculation method is simpleand easy to implement and can be applied to embedded real-time calculation, the diversified paths are planned through connection paths, the automatic parking path planning method and system can be applied to automatic parking in various scenes, and the requirements of complex parking environments in real life are met. The automatic parking path planning method and system which are applied to thevarious scenes and are simple in calculation can be widely applied to the field of path planning.

This invention is to use knowledge pattern learning and search system for selecting microorganisms to produce useful materials and to generate clean energy from wastes, wastewaters, biomass or from other inexpensive sources. The method starts with an in silico screening platform which involves multiple steps. First, the organisms' profiles are compiled by linking the massive genetic and chemical fingerprints in the metabolic and energy-generating biological pathways (e.g. codon usages, gene distributions in function categories, etc.) to the organisms' biological behaviors. Second, a machine learning and pattern recognition system is used to group the organism population into characteristic groups based on the profiles. Lastly, one or a group of microorganisms are selected based on profile match scores calculated from a defined metabolic efficiency measure, which, in term, is a prediction of a desired capability in real life based on an organism's profile. In the example of recovering clean energy from treating wastewaters from food process industries, domestic or municipal wastes, animal or meat-packing wastes, microorganisms' metabolic capabilities to digest organic matter and generate clean energy are assessed using the invention, and the most effective organisms in terms of waste reduction and energy generation are selected based on the content of a biowaste input and a desired clean energy output. By selecting a microorganism or consortia of multiply microorganisms using this method, one can clean the water and also directly generate electricity from Microbial Fuel Cells (MFC), or hydrogen, methane or other biogases from microorganism fermentation. In addition, using similar screening method, clean hydrogen can be recovered first from an anaerobic fermentation process accompanying the wastewater treatment, and the end products from the fermentation process can be fed into a Microbial Fuel Cell (MFC) process to generate clean electricity and at the same time treat the wastewater. The invention can be used to first select the hydrogenic microorganisms to efficiently generate hydrogen and to select electrogenic organisms to convert the wastes into electricity. This method can be used for converting wastes to one or more forms of renewable energies.

The invention discloses an image denoising method. The method comprises steps: an average block set of a to-be-denoised image is acquired; a corresponding mean value is subtracted from each average block in the average block set to obtain a noise block set; a first noise image in the noise block set is acquired; noise modeling is carried out on the noise block set according to a generative adversarial network to obtain a generator capable of generating the same kind of noise as the to-be-denoised image; a second noise image is acquired according to the generator; according to a noise-free image, the first noise image and the second noise image, a training set is constructed; according to the training set and a discriminative learning method, an image denoising network model is trained; andthe to-be-denoised image is inputted to the image denoising network model to acquire an image after denoising. The invention also provides an image denoising device, equipment and a storage medium. the denoising effects on unknown real noise in real life can be enhanced and the denoising efficiency is improved.

The invention discloses a method for using a most influential node in a social network to achieve efficient viral marketing. The method for using the most influential node in the social network to achieve efficient viral marketing sequentially includes the steps of user definition and resource definition, establishment of edge connection for relationships between users and resources, establishment of interest strength between every two users, definition of importance measure indexes of weighted network nodes in boundary viewing dimension, calculation of a sum of edge weights in an NN assembly in a weighted network, establishment of a marketing model and the like. According to the method for using the most influential node in the social network to achieve efficient viral marketing, attention records between the users and the resources in the real social network are used, user interests are found, user interest strength relational diagrams are constructed, common attention of the users is used, on this basis, a half-partial centrality method based on neighborhood information is adopted to determine influential nodes, the nodes serve as initial nodes, spread of marketing information is carried out on a user interest network, key factors which can well restore interpersonal interaction processes in real life and comprise the accumulation effect, the social reinforcement effect and friend relationship strength are introduced into a spreading model, and the method for using the most influential node in the social network to achieve efficient viral marketing has the advantages of being low in calculated amount and good in robustness.

The invention relates to a vocational ability evaluation simulation system which can simulate evaluation in real life, and the vocational ability evaluation simulation system is a simulation software system which achieves various evaluation data, evaluation content and evaluation organization modes. A real environment operation simulation technology is used in the system, limitation of a traditional exam technology is pushed through, various application operation skills can be tested, and paperless exams, intelligent network remote control and management are achieved. The system uses a perfect database management system as a foundation, an intelligent test paper composition algorithm is used as a core, various functions used in evaluation are unified organically, and the flexible and perfect evaluation simulation system is formed.

The present invention is an apparatus and method for predicting the reactions of a subject, e.g., a human being to a proposition posed to the subject during a subject-object or a subject-subject interaction that takes place online or in real life. The quantum mechanical model adopted herein assigns a first subject qubit |iss1> to a primary internal state of the subject with eigenvalues corresponding to measurable indications a, b of the primary internal state. A response qubit |rsp> that can yield at least two mutually exclusive responses corresponding to two eigenvalues is also assigned to the subject. A proposition matrix PR in the form of a linear operator designed to act on response qubit |rsp> is assigned to enable a quantum mechanical derivation of response probabilities and expectation values for response to the same underlying proposition in various contexts, including incompatible contexts in the Heisenberg sense.

An object oriented visual accounting system that enables accounting tasks to be handled in the same way that they work in real life. Each entity (object), such as a person, mortgage or other asset or liability, is represented by a self-contained MoneyCell. The MoneyCell is dropped onto a stream of cash and it then interacts with this cash by intelligently adding to the cash or taking cash away from the cash stream if and when needed. In this way, the invention makes it much easier for the lay person to accomplish accounting tasks, and for anyone to instantly see the effects of any transaction on wealth and cash flow in the past and future in perpetuity. An object of this invention is to simplify accounting, make it more powerful as a forecasting and planning tool, while simultaneously making it more congruent with reality.

The invention discloses a social network realization method and a system, wherein the method comprises the steps that a user mobile terminal acquires self positioning information and sends the positioning information and search range to a network server; the network server broadcasts the user positioning information to friends of a user, receives the positioning information sent by the friends of the user, screens out the friends the distance of which are in the search range, and sends the screening result to the user mobile terminal; and the mobile terminal displays the information of the friends in the search range according to the screening result. The invention can provide a more novel and convenient life mode for users of mobile phone, thus being an extension of social network and instant messaging service in virtual network in real life. With the method in the invention, the user can conduct unblocked communication with friends through internet, and can better discover and search real friends by the side in real life.

This invention is related with electrical energy conversion device, which uses built-in potential of metal-to-metal junctions from repeating movements with random frequencies, speeds and amplitudes at the medium of the device. The device using the method does not rely on a resonant frequency, besides, it can convert the kinetic energy to electrical energy even at low frequencies. Furthermore, its application to the real life situations is economic and beneficial because of the efficient working principle and simple structure. Unique design of the device enables direct wiring of the outputs of identical or similar devices together for the purpose of power scaling without the need of using another device, which may cause energy losses and increase the total cost. This device also does not require a dummy voltage source or a precharge at the beginning of energy harvesting

The invention discloses an electrical equipment energy-consumption monitoring power wire integrating a wireless network communication function. An electric energy metering module and a wireless network communication module are integrated on a common power supply cable, and the acquisition and the communication of electric energy data are completed when an electric appliance is electrified, wherein an electric energy metering unit is used for sampling and processing voltage and current flowing through a power lead and inputting the obtained data into a wireless network communication unit; and the wireless network communication unit can participate into a corresponding network according to the protocol per se and transmit the data to a monitoring center with a corresponding network coordinator through a wireless network so that the energy consumption of the electric appliance equipment is monitored. The daily used electric appliance equipment is provided with the common power lead, and the power lead conveniently realizes the energy consumption monitoring only by integrating a metering and transmitting module on the power lead under the condition that the main body hardware of the electric appliance equipment is not changed. In real life, the power lead is very suitable for the monitoring energy consumption of home electric appliances with power supplied by power frequency and relevant electric appliances of offices.

The invention relates to a method for the simulative generation of a working condition curve of an electric vehicle, which comprises the following steps of: setting basic information and more than one working condition action of the electric vehicle, wherein the basic information comprises vehicle shape, vehicle type, curb weight, tire tread and tire width, and the working condition action comprises working condition type and working condition parameters; calculating a quantitative relationship between output power and running time of an electric battery pack of the electric vehicle; and in accordance with the time interval of t2-t1=1s, obtaining the average output power of the electric battery pack of the electric vehicle within the time interval in order to obtain a relationship curve of the output power of electric battery pack of the electric vehicle and the time. The method for the simulative generation of the working condition curve of the electric vehicle has great flexibility, and is highly matched with the working conditions in real life, thereby remarkably reducing the time and the energy consumption required by generating a working condition simulating curve.

The invention provides a deep neural network incremental training method and system based on a learning automaton. The deep neural network incremental training method comprises the steps of an original sample set training step: training a deep neural network model by adopting an original training sample set; and an incremental sample set training step: carrying out category expansion on the previous training sample set, and carrying out incremental training on the previous trained deep neural network model by adopting the expanded training sample set. According to the method, the training process on the complex data set can be decomposed into a series of simple task training processes, and the classification problem of all categories is solved step by step through model incremental training. The cumulative learning strategy better conforms to the learning process of people in real life.

The invention discloses an image processing method and device, belonging to the technical field of image processing. The image processing method comprises the steps of constructing a face three-dimensional model of a target object; loading three-dimensional texture selected by a user onto the face three-dimensional model of the target object to obtain a three-dimensional model with the texture. According to the image processing method and device, by constructing the face three-dimensional model of the target object and loading the three-dimensional texture selected by the user onto the face three-dimensional model of the target object, as the three-dimensional texture is loaded into the face three-dimensional model, a depth effect is considered, so that scenes in real life can be well simulated to obtain a more realistic effect similar to face painting.

The invention discloses an interface display and function control mode of a music player. The control mode comprises three play interface display modes, wherein the first one is a stage play interface display mode in which the stage scene and dancers in real life are simulated in the play interface and in company with different lights or a cool particle effect, a real visual experience is simulated; the second one is a science-fiction synchronous lyrics play interface display mode in which the lyrics are pressed and pulled up and down by a finger, a touch pen, a mouse or an external rotation button in a synchronous lyrics play interface so as to realize fast forward or fast backward to any part the user wants to listen to; and the third one is a handsome optical disk play interface display mode in which the finger touch is more convenient due to a whole-screen optical disk mode and a laser-engraved CD (compact disc) cover type optical disk is displayed during music play and rotates along with the music play. Through the invention, the display effect of the music player is enriched, and the visibility and controllability of the music interface are enhanced. Based on the traditional mode of playing music by key clicking, a new human-machine interaction mode is realized. The quick mode provides a brand-new user experience in terms of layout, operation mode and personalization.

The invention discloses a processing method and a processing system for a mobile terminal to automatically hang up and belongs to the technical field of the mobile terminal. The processing method of the invention comprises the steps as follows: detecting behavior of a user so as to judge whether user conversation is ended or not while the mobile terminal is in a conversation; controlling the mobile terminal to automatically hang up and performing a corresponding hint if the user is recognized to end the conversation and the mobile terminal does not hang up. The processing method and the processing system of the invention could solve the problem that the call does not hang up timely because the two callers are waiting for the opposite side to hang up after ending the conversation in real life, and solve the awkward problem that the communication fee of the mobile terminal is increased because the call does not hang up timely or the two callers continuously hear other noises after the two callers end the conversation so as to be greatly convenient for the user to perform daily conversation.

An interactive cognitive skill improvement method and system is provided wherein a real life video is deployed in a video game environment and interruptions are induced in the real life video to seek a response from a user based on the interruptions. The user is expected to predict a specific outcome or provide a specific response based on the scenario in the real life video. The video game environment is enabled to compare the user's response with the actual outcome in the real life video and the user's performance is analyzed and recorded for future reference.

The invention discloses an air conditioning system of an electric vehicle. The air conditioning system of the electric vehicle comprises a compressor controller, an air conditioning management controller, an air blower, a refrigeration subsystem and a heating subsystem, wherein the refrigeration subsystem and the heating subsystem are respectively controlled through the air conditioning management controller; the compressor controller is mutually connected with a compressor and is used for receiving a speed regulation signal and a starting signal which are output from the air conditioning management controller to realize control on the compressor; the heating subsystem comprises a positive temperature coefficient (PTC) controller and at least two PTC heaters; and the air blower is provided with a warm air volume switch used for regulating warm air volume. The air conditioning system of the electric vehicle is compact in structure and is high in degree of automation. Through installing a plurality of PTC heaters and changing the control mode of the air conditioning system of the electric vehicle, multiple temperature combinations can be realized, and the requirement in real life is met. Meanwhile, the problem that refrigeration surplus can be possibly caused because a traditional vehicle-mounted air conditioner of the electric vehicle is operated by one refrigerating output all the time is avoided, energy sources can be saved, and the safety of the air conditioning system is enhanced.