1135 results about "Cognition" patented technology

A smart phone senses audio, imagery, and/or other stimulus from a user's environment, and acts autonomously to fulfill inferred or anticipated user desires. In one aspect, the detailed technology concerns phone-based cognition of a scene viewed by the phone's camera. The image processing tasks applied to the scene can be selected from among various alternatives by reference to resource costs, resource constraints, other stimulus information (e.g., audio), task substitutability, etc. The phone can apply more or less resources to an image processing task depending on how successfully the task is proceeding, or based on the user's apparent interest in the task. In some arrangements, data may be referred to the cloud for analysis, or for gleaning. Cognition, and identification of appropriate device response(s), can be aided by collateral information, such as context. A great number of other features and arrangements are also detailed.

The present invention relates to pharmaceutical compositions and formulations comprising a novel class of androgen receptor targeting agents (ARTA) which demonstrate androgenic and anabolic activity of a nonsteroidal ligand for the androgen receptor. The agents define a new subclass of compounds which are selective androgen receptor modulators (SARM) which are useful for a) male contraception; b) treatment of a variety of hormone-related conditions, for example conditions associated with Androgen Decline in Aging Male (ADAM), such as fatigue, depression, decreased libido, sexual dysfunction, erectile dysfunction, hypogonadism, osteoporosis, hair loss, anemia, obesity, sarcopenia, osteopenia,osteoporosis, benign prostate hyperplasia, alterations in mood and cognition and prostate cancer; c) treatment of conditions associated with Androgen Decline in Female (ADIF), such as sexual dysfunction, decreased sexual libido, hypogonadism, sarcopenia, osteopenia, osteoporosis, alterations in cognition and mood, depression, anemia, hair loss, obesity, endometriosis, breast cancer, uterine cancer and ovarian cancer; d) treatment and/or prevention of chronic muscular wasting; and/or e) decreasing the incidence of, halting or causing a regression of prostate cancer. The present invention provides pharmaceutical compositions comprising the selective androgen receptor modulator compounds, together with pharmaceutically acceptable excipients.

The present invention relates to a synthetic process for the preparation of a novel class of androgen receptor targeting agents (ARTA) which demonstrate androgenic and anabolic activity of a nonsteroidal ligand for the androgen receptor. The agents define a new subclass of compounds which are selective androgen receptor modulators (SARM) which are useful for a) male contraception; b) treatment of a variety of hormone-related conditions, for example conditions associated with Androgen Decline in Aging Male (ADAM), such as fatigue, depression, decreased libido, sexual dysfunction, erectile dysfunction, hypogonadism, osteoporosis, hair loss, anemia, obesity, sarcopenia, osteopenia, osteoporosis, benign prostate hyperplasia, alterations in mood and cognition and prostate cancer; c) treatment of conditions associated with Androgen Decline in Female (ADIF), such as sexual dysfunction, decreased sexual libido, hypogonadism, sarcopenia, osteopenia, osteoporosis, alterations in cognition and mood, depression, anemia, hair loss, obesity, endometriosis, breast cancer, uterine cancer and ovarian cancer; d) treatment and/or prevention of chronic muscular wasting; e) decreasing the incidence of, halting or causing a regression of prostate cancer; f) oral androgen relacement and/or other clinical therpauetic and/or diagnostic areas. The process of the present invention is suitable for large-scale preparation, since all of the steps give rise to highly pure compounds, thus avoiding complicated purification procedures which ultimately lower the yield. Thus the present invention provides methods for the synthesis of non-steroidal agonist compounds, that can be used for industrial large-scale synthesis, and that provide highly pure products in high yield.

A smart phone senses audio, imagery, and/or other stimulus from a user's environment, and acts autonomously to fulfill inferred or anticipated user desires. In one aspect, the detailed technology concerns phone-based cognition of a scene viewed by the phone's camera. The image processing tasks applied to the scene can be selected from among various alternatives by reference to resource costs, resource constraints, other stimulus information (e.g., audio), task substitutability, etc. The phone can apply more or less resources to an image processing task depending on how successfully the task is proceeding, or based on the user's apparent interest in the task. In some arrangements, data may be referred to the cloud for analysis, or for gleaning. Cognition, and identification of appropriate device response(s), can be aided by collateral information, such as context. A great number of other features and arrangements are also detailed.

The invention discloses a dynamic indoor region coverage division method and device for a mobile robot. The dynamic indoor region coverage division method at least includes that scanning each row of a raster map to divide the indoor region for two times, dividing the indoor region into an independent sub-region block and an independent region block, wherein the independent region block comprises a plurality of adjacent independent sub-region blocks; acquiring the topology planning sequence of the independent sub-region block and the topology planning sequence of each independent sub-region block of the independent region block based on a reverse searching mode and a minimum tree principle; acquiring the optimal route of the mobile robot in the indoor region based on a Dijkstra algorithm according to the topology planning sequences. The dynamic indoor region coverage division method and device for the mobile robot start from the environment cognition habits of the human to divide the indoor environment for two times, the completeness of the region with a certain function in the environment is guaranteed, and meanwhile, the region with a certain function is divided into the independent sub-regions where the mobile robot can walk; the dynamic indoor region coverage division method and device for the mobile robot conform to the robot thought.

The invention relates to a park unmanned express-delivery vehicle dispensing system and an automatic dispensing method thereof. The system comprises a data management and scheduling center, a park navigation reference station, a park unmanned express-delivery vehicle and wireless communication equipment; and includes an environment sensing layer, a cognition and decision layer, a control layer and a function application layer. The system and method can be used to solve the problems in unmanned logistics automatic dispensing in the last kilometer of a park, district and the like; automatic dispensing schemes from establishment of the automatic dispensing system of the park, the automatic dispensing method, automatic driving of the vehicle, information pushing and identity recognition of an owner of an express are all included; and technical coverage is comprehensive, the system and method are conducive to popularization and application and the user experience is good.

A method and apparatus is disclosed for more efficient editing and reading comprehension of text and other content on a computer screen with a virtual keyboard and limited space, such as would be found on a mobile device such as smartphone, tablet, handheld computer or an automobile dashboard, or an appliance with a small screen. The method provides aids that assist in Saccadic related cognition of limited text display, especially condensed or abbreviated text. The method also employs macro population analysis to better understand and adapt to the ergonomic typing and reading challenges of mobile device usage in specific circumstances.

Nitrate esters and methods for mitigating neurodegeneration, affecting neuroprotection, affecting cognition enhancement, and/or preventing or mitigating tissue and/or cellular damage in a subject are described. Neurological or cognitive conditions, or damage mediated by free radicals are treated by administering to a subject an effective amount of a therapeutic compound comprising a nitrate ester, or a pharmaceutically acceptable salt thereof.

The invention provides a mobile robot path planning method with combination of a depth automatic encoder and a Q-learning algorithm. The method comprises a depth automatic encoder part, a BP neural network part and a reinforced learning part. The depth automatic encoder part mainly adopts the depth automatic encoder to process images of an environment in which a robot is positioned so that the characteristics of the image data are acquired, and a foundation is laid for subsequent environment cognition. The BP neural network part is mainly for realizing fitting of reward values and the image characteristic data so that combination of the depth automatic encoder and the reinforced learning can be realized. According to the Q-learning algorithm, knowledge is obtained in an action-evaluation environment via interactive learning with the environment, and an action scheme is improved to be suitable for the environment to achieve the desired purpose. The robot interacts with the environment to realize autonomous learning, and finally a feasible path from a start point to a terminal point can be found. System image processing capacity can be enhanced, and environment cognition can be realized via combination of the depth automatic encoder and the BP neural network.

The invention discloses a vehicle speed control device and method. The vehicle speed control device comprises an environment sensing and integration module, a pedestrian jaywalking behavior cognition module and an automatic driving decision-making module, wherein the environment sensing and integration module is used for detecting the information of a jaywalking pedestrian in front of a running vehicle and outputting the information of the jaywalking pedestrian; the pedestrian jaywalking behavior cognition module is used for receiving the information of the jaywalking pedestrian and outputting the pedestrian's behavior cognition information according to the received information of the jaywalking pedestrian combined with the dynamic time series information and the interaction between the vehicle and the pedestrian; and the automatic driving decision-making module is used for receiving environment information and pedestrian's behavior cognition parameters, giving the current traffic speed of the vehicle, and outputting the current traffic speed of the vehicle. According to the vehicle speed control device and method disclosed by the invention, in the running process of the vehicle, the pedestrian target in front of the vehicle can be accurately recognized, the pedestrian's intention can be predicted, real-time judgment is performed, reasonable decision can be made, and autonomous recognition and decision-making of an autonomous vehicle can be realized when a pedestrian crosses the road, so that the vehicle can safely and smoothly give way to the pedestrian crossing the road.

This application describes an information and resource management system for collecting data from diverse sources and organizing multiple types of data and information to facilitate dynamic multi-dimensional displays that will enhance cognition and situational awareness for diverse user communities. This system may facilitate collaborative cross-agency research and response to public health and safety issues. The system will generate more rapid awareness of potentially critical situations and promote greater awareness of the cost and benefits of alternative courses of action across diverse agencies and organizations serving common populations and communities. The invention includes customized geographically enabled data collection tools and techniques, dedicated databases and parsing schemes that feed into customized data visualization and simulation engines that drive the display of context sensitive interactive environments on a wide variety of computing platforms. The invention provides a novel approach to inter-disciplinary information integration processing, visualization, sharing and decision-making in the domain of public health and safety, disaster management and mitigation.

Integrating automatic systems and methods for rapid and objective mass tests, evaluations, measurements, screenings, trainings, or any combination thereof are realized. In a preferred embodiment, a multifunctional system, constructed in the form of preferably a unitary housing, contains automatic methods such as those for evaluation and measurement of at least one of cognition, operation skills, vision, or the like. Authentication identification data of examinees may be processed according to at least one device-dependent process, which may be specific to particular manufacturers, device classes, or other partitioning schemes. The data may be iced, stored in a repository, and utilized for at least one of clinical, educational, medical, military, security, or transport purposes, such as controlling the issuance, restriction, or confiscation of one's license, or ability to operate a vehicle in motion. Automatic systems and methods are paramount to promoting safety and uniformity of testing.

The invention discloses an intelligent man-machine conversation system in a closed domain. The system comprises a first modeling module, a second modeling module and a third modeling module, wherein the first modeling module is used for constructing a multi-feature fusion deep intention recognition model on the basis of a bidirectional long/short-term memory network and a convolutional neural network; the second modeling module is used for constructing an MC-BLST-MSCNN-based conversation state tracking model by adoption of a man-machine conversation system current state input and context statement combined modeling manner; and the third modeling module is used for constructing a Bi-LSTM matching model on the basis of an extraterritorial recover mechanism of a displacement attention mechanism, and inputting recognized user intentions and user slot values into a displacement network to carry out weight distribution the attention mechanism, so as to realize conversation state encoding andconversation control matching. The system has higher intention recognition accuracy, conversation state tracking correctness and conversation control stability, so as to enhance the cognition intelligence capability of man-machine systems.

The invention discloses an intelligent analysis method for student classroom learning interest. The method is characterized in comprising the following steps that: collecting a scene image in a classroom, and positioning a face in the scene image; estimating a head gesture in a face area, and evaluating the cognition attention focusing degree of a student according to the head gesture; in the facearea, estimating a facial expression, and evaluating the learning emotions of the student according to the expression; recording the interactive answering frequency and the accuracy of the student inthe classroom, and evaluating the degree of participation of the student according to the answering frequency and the accuracy; and blending three-dimensional information, including the cognition attention, the learning emotions and the degree of participation in the classroom of the student to analyze the learning interest of the student. The invention also provides a system for realizing the above method. When the method is applied, the learning interest of the student in the classroom can be objectively and accurately monitored and analyzed in real time, real-time feedback can be providedfor lesson giving teachers, and the lesson giving teachers can be assisted in regulating a teaching way in time to improve a teaching effect.

Methods and compositions are disclosed for enhancing neurogenesis, resolving neuropathy and improving neurological health and functioning using fungal extracts and their active ingredients, including species of mushrooms and mycelia containing psilocybin and psilocin, combined with erinacines and hericenones or fungal extracts containing those active ingredients, with the addition of nicotinic acid. The compositions may optionally be combined with nervine plants.

The invention discloses an image searching result ordering method based on perceptual cognition, which mainly orders images results based on the objective characteristics and the subjective perceptual cognition of images. Based on the understanding to the images, the characteristics of the images are extracted to obtain the similarity and a display method is laid out based on the user experience. Under the circumstance that the invention cannot be accurately expressed, a user can better display the shopping need on a platform, thereby reducing the time for the user to search a commodity and more effectively promoting a network commodity transaction. Simultaneously, the image searching result ordering method based on perceptual cognition can promote the development of the electronic shopping platform so that China's electronic commerce network platform is more diversified.

The invention relates to a geofence generating method which comprises the following steps of: a step a of calculating densities of points in a certain range around one by one by using longitude and latitude information of an interest point as the characteristic and using the interest point as the center and marking points of which the densities are greater than a certain threshold value into core points; a step b of calculating connectivity among the core points, processing each core point and integrating all the communicated core points and other non-core points in a local region into one point set; and a step c of carrying out rasterization and expansion processing on the point set, carrying out serializable searching on an expansion boundary point and automatically generating a smooth closed geographic boundary for the point set, wherein the geographic boundary comprises all the points in the point set and accords with the overall shape characteristic of the point set. According to the invention, relevance of geographic information can be automatically mined; the irregular geofence boundary which has obvious significance and accords with subjective geographic cognition of people is generated; and the aim of automatically and intelligently generating the geofence is fulfilled.

The present invention relates to a method of treating disorders including cognition impairment, generalized anxiety disorder, acute stress disorder, social phobia, simple phobias, pre-menstrual dysphoric disorder, social anxiety disorder, major depressive disorder, eating disorders, obesity, anorexia nervosa, bulimia nervosa, binge eating disorder, substance abuse disorders, chemical dependencies, nicotine addiction, cocaine addiction, alcohol addiction, amphetamine addiction, Lesch-Nyhan syndrome, neurodegenerative diseases, late luteal phase syndrome, narcolepsy, psychiatric symptoms anger, rejection sensitivity, movement disorders, extrapyramidal syndrome, Tic disorder, restless leg syndrome, tardive dyskinesia, sleep related eating disorder, night eating syndrome, stress urinary incontinence, migraine, neuropathic pain, diabetic neuropathy, fibromyalgia syndrome, chronic fatigue syndrome, sexual dysfunction, premature ejaculation, and male impotence. This method involves administering to a patient in need of such treatment a therapeutically effective amount of a disclosed compound. Such compounds are 4-phenyl substituted tetrahydroisoquinolines having the Formula IA, IB, IIA, IIB, IIIA or IIIC as set forth herein.

The present invention relates to androgen receptor targeting agents (ARTA) which demonstrate androgenic and anabolic activity, which are nonsteroidal ligands for the androgen receptor. The selective androgen receptor modulators (SARM) are useful for a) male contraception; b) treatment of a variety of hormone-related conditions, for example conditions associated with Androgen Decline in Aging Male (ADAM), such as fatigue, depression, decreased libido, sexual dysfunction, erectile dysfunction, hypogonadism, osteoporosis, hair loss, anemia, obesity, sarcopenia, osteopenia, osteoporosis, benign prostate hyperplasia, alterations in mood and cognition and prostate cancer; c) treatment of conditions associated with Androgen Decline in Female (ADIF), such as sexual dysfunction, decreased sexual libido, hypogonadism, sarcopenia, osteopenia, osteoporosis, alterations in cognition and mood, depression, anemia, hair loss, obesity, endometriosis, breast cancer, uterine cancer and ovarian cancer; d) treatment and/or prevention of chronic muscular wasting; e) decreasing the incidence of, halting or causing a regression of prostate cancer; f) oral androgen replacement and/or other clinical therapeutic and/or diagnostic areas.

Autonomous embedded data cognition enables data to perform real-time environmental configuration control, self-manage, perform analyses, determine its current situation, and evaluate behavior to respond accordingly. When created, security measures, and access controls are selected. Highly sensitive data can be extracted and substituted with creator label and/or functional representation. Data-to-data reasoning and analysis can be performed. The processing method comprises autonomous monitoring for a state change and analyzing the current user to determine if the instantiation should exist. If affirmed, the cognition engine automatically configures the computational environment in which it resides. If denied, environmental behavior is further analyzed for security problems or an erroneous situation. If detected, the creator is alerted and provided with incident information enabling remote creator control of the data. Cognitive data can decide to self-destruct mitigating risk of undesirable instantiations. Intelligent Agents, a comprehensive data structure, and intelligent document means are leveraged for implementation.

The invention discloses a method of improving performance of a convolutional neural network based on a linear discriminant analysis criterion, which belongs to the field of deep learning convolutional neural networks, the field of brain cognition and the field of computer vision image classification. The method comprises the following steps: 1) to-be-processed image sets are divided into a training set, a verification set and a test set; 2) a convolutional neural network model is selected; 3) one layer in the convolutional neural network model in the second step is selected, regularization constraints based on the linear discriminant analysis criterion are carried out on features of the selected layer, and a new convolutional neural network model is formed; and 4) according to mini-batch-based stochastic gradient descent method, the training set is used for training the new convolutional neural network model, and after the new convolutional neural network model is well trained, the well-trained convolutional neural network model tests to-be-classified images, and classified prediction is completed. Experimental results show that the method of the invention can significantly improve the convolutional neural network image classification precision.

The invention discloses an intelligent cognitive wireless network system for realizing heterogeneous network convergence. New function entities with multi-domain active cognition, high-efficiency heterogeneous network resource management, and network or terminal reconstruction are added in the network elements of the existing wireless network system, namely, a cognitive information management module, an intelligent management module and a heterogeneous network convergence management module are added on a network side; a reconstruction management unit, a united wireless resource management & self-optimization unit, a cognitive information/knowledge base and cognitive information management module are added on a terminal side; four interactive interfaces, namely interfaces among operators, interfaces between the network side and the terminal side, interfaces among respective modules and interfaces among units inside the modules are arranged. Modules or units inside the modules realize information exchange via interfaces, and realize corresponding network functions jointly, so that the cognitive capacity, autonomous capacity and adaptive capacity of the network are extended, the intellectualization of network management is promoted, the efficient utilization of heterogeneous network convergence and system frequency spectrum is realized, and overall performance of the network is promoted.