102 results about "Problem description" patented technology

Agent-based models (ABMs) / multi-agent systems (MASs) are one of the most widely used modeling-simulation-analysis approaches for understanding the dynamical behavior of complex systems. These models can be often characterized by several parameters with nonlinear interactions which together determine the global system dynamics, usually measured by different conflicting criteria. One problem that can emerge is that of tuning the controllable system parameters at the local level, in order to reach some desirable global behavior. According to one exemplary embodiment t of the present invention, the tuning of an ABM for emergency response planning can be cast as a multi-objective optimization problem (MOOP). Further, the use of multi-objective evolutionary algorithms (MOEAs) and procedures for exploration and optimization of the resultant search space can be utilized. It is possible to employ conventional MOEAs, e.g., the Nondominated Sorting Genetic Algorithm II (NSGA-II) and the Pareto Archived Evolution Strategy (PAES), and their performance can be tested for different pairs of objectives for plan evaluation. In the experimental results, the approximate Pareto front of the non-dominated solutions is effectively obtained. Further, a conflict between the proposed objectives can be seen. Additional robustness analysis may be performed to assist policy-makers in selecting a plan according to higher-level information or criteria which is likely not present in the original problem description.

A method of diagnosing a status of a vehicle. The vehicle has an on-board computer for generating a diagnostic trouble code signal related to a passed or problem status of the vehicle. A portable code reader is connected to the on-board computer. Diagnostic trouble code signals are communicated from the on-board computer to the code reader. The code reader communicates to a personal computer respective ones of the diagnostic trouble code signals related to a problem status of the vehicle. The personal computer communicates the respective ones of the diagnostic trouble code signals from the personal computer to a remote computer. The remote computer is configured to correlate the diagnostic trouble code signals to problem description data for diagnosing the vehicle. Problem description data correlated to the respective ones of the diagnostic trouble code signals are communicated from the remote computer to the personal computer.

The present invention tests computer systems for defects that are able to cause performance and functional problems. An agent application is first installed on a user's system. The agent application then retrieves problem data from the expert system library pertinent to the user's operating environment. The agent application tests the user's system for each problem description within a downloaded data structure from the expert system library. If a problem is discovered, a script attempts to remediate the problem and / or notifies the user, describing the issue. If an unknown problem arises, a feedback mechanism expands the expert system library by sending a notification that a problem was discovered. The feedback is then utilized to increase the total knowledge in the expert system library. Then when another user with a similar or the same setup is tested, the agent application will recognize the issue and will take the appropriate remedial actions.

A system and method provide for querying a knowledge base. The knowledge base includes a plurality of layers, each layer corresponding to a different type of information, such as user's intent, lack of knowledge, and specific issue. The system includes categorization rules for categorizing at least a part of a user's request according to the types of information and for mapping the request to respective layers of the knowledge base. The user's request is categorized with the categorization rules and mapped to one of the layers of the knowledge base, based on the categorization. A search is conducted for responsive problem descriptions among the problem descriptions in that layer. The system and method can thus provide for differential searching of the knowledge base, depending on the type of information being sought.

The invention discloses a legal consulting method and a legal consulting system based on big data analysis. The legal consulting method comprises the following steps of (S1) selecting legal fields required to be consulted; (S2) selecting corresponding problem description frames according to the legal fields; and (S3) analyzing a consulting result from a stored data unit according to the inputted problem description frames. By the legal consulting method and the legal consulting system, the problems that in the traditional legal consulting process, legal provisions and legal cases are required to be retrieved manually so as to answer legal consulting questions, and legal information is used insufficiently in a process of manually answering the legal consulting questions due to restrictions on professional ranges of workers are solved.

Embodiments of the present invention relate generally to error reporting methods and systems. An error reporting application may be configured to be a stand-alone program, embedded within another application, or added as a plug-in application. The error reporting application may also be configured to provide a mechanism for a user to describe a problem with another application and send the problem description to a configurable, user defined location. The error report from the error reporting application may then be processed by an error processing system at the user-defined location.

The invention provides a dynamic resource allocation algorithm of an SDN / NFV network based on load balance. In view of multimedia services of different needs, virtual link mapping objectives, constraints and physical link load states are associated, sub-tasks are adaptively mapped to network nodes according to the physical link load states, and used resources and remaining resources of physical nodes and links are effectively distinguished so as to balance the load, improve the utilization rate of network resources and avoid the occurrence of local optimum or current optimum. The scheme is asfollows: performing sub-task mapping to find a server node satisfying constraints for each sub-task in a service request, wherein a mapping model of the sub-task is described as (the formula is described in the specification); and then, performing virtual link mapping to find a physical path satisfying capacity constraints of each virtual link for each virtual link in the service request, whereina dynamic virtual mapping problem is described as (the formula is described in the specification).

The invention provides a wide-range cruising path planning model for a UAV (unmanned aerial vehicle) and a method. Firstly, according to problem description of a UAV cruising path in wide-range seas, determining a path planning model with the maximum effective cruising range and the shortest cruising operation time as goals, determining constraint condition models containing a cruising ability constraint condition model, a constraint condition model under environment influence such as weather and the like and a constraint condition model under influence of a no-fly zone according to objective constraint conditions of the UAV, and readjusting and determining a path planning model according to the constraint conditions; selecting the optimal path for cruising of the UAV in the wide-range seas from a search water area network according to the determined path planning model in combination with the various constraint conditions. The maximum key supervision water area range covered by the UAV can be realized, meanwhile, the shortest cruising distance is guaranteed in the cruising ability range of the UAV, and the optimal planning scheme is provided for wide-range path search of the UAV for maritime affairs.

The invention belongs to the field of intelligent transport study and relates to an adaptive intersection signal control method considering supply side constraint. The problem that consideration on intersection exit ramp transportation supplies is absent in the existing signal control system and study is solved. The method comprises the following steps: 1, detecting and processing intersection traffic information, and acquiring traffic demands of an intersection entrance ramp and traffic supplies of the exit ramp; 2, establishing a time-varying relationship of intersection traffic supplies, and constructing an intersection supply-demand matrix; 3, establishing an intersection signal timing dial optimization model for quintuple descriptions on problem description, initial state, target state, action set and knowledge rule based on intelligent planning; and 4, searching the target state by adopting a decision-making tree method, and generating a corresponding timing plan. Compared with the prior art, the method disclosed by the invention has the advantages that active control of intersections is realized, the intersection downstream exit ramp queue overflow can be avoided, and intersection 'deadlock' is avoided.

Embodiments of the invention relate to automated system problem diagnosing. An index is created with problem description information of previously diagnosed problems, a diagnosis for each problem, and a solution to each diagnosis. System states, traces and logs are extracted from a source system with a new problem. The problem diagnosis system generates problem description information of the new problem from the system states, traces and logs. Problem description information of the new problem is compared with problem description information in the problem description index. A search score is computed for each document in the problem description index. The search score is a measure of similarity between each document in the index and the description of the new problem. A matching score is assigned to each previously diagnosed problems based on the search score. The matching score is a measure of similarity between the new problem and each previously diagnosed problem. The system determines a diagnosis and solution of the new problem based on a diagnosis and solution of one of the previously diagnosed problems.

The invention belongs to the field of mobile robot positioning technologies and discloses a calibration algorithm for a wheel encoder for a four-wheel mobile robot. The algorithm includes the following steps that: the robot moves along a specific trajectory, and the measured values of the wheel encoder are collected; in each time period, an iterative closest point algorithm operates, so that the pose estimated values of the origin of a laser radar sensor coordinate system are obtained, and the measured values and estimated values constitute the data samples of each time period; linear parameter estimation is carried out: a linear parameter pair J21 and J22 is constructed on the basis of the left wheel radius rL, the right wheel radius rR and the wheelbase b of the robot, and linear estimation is performed; and calibration parameter estimation is carried out: calibration parameters are determined as b, lx, ly, and ltheta, wherein l is a relative pose relationship between the sensor coordinate system and a robot body coordinate system, a log likelihood function obtained in calibration problem description is established, and calibration parameters are calculated. With the calibrationalgorithm of the wheel encoder of the invention adopted, the parameters of a sensor and an actuator and the parameters of pose relationships can be accurately obtained in various environments with nomanual intervention required.

Disclosed herein is a method and system for evaluating the software programming skills of a candidate. A plurality of question compendia comprising a problem description, a set of evaluation test cases, and a skeleton code, is rendered based on the logical and technical levels of the candidate. The solution code created by the candidate is then transferred to a server for compilation and execution. The solution code is evaluated by examining the solution code for solution accuracy to the constructed problem, analyzing the solution code for code compliance with predefined coding conventions and standards, ascertaining memory utilization of the solution code and examining the exception handling capabilities of the solution code. The candidate is then provided with a consolidated ranking generated from scores allotted to the candidate during the evaluation of the solution code.

A system may include a performance analytics database defining key performance indicators (KPIs) associated with the managed network and defining dashboards that are configured to specify, on a performance analytics graphical user interface (GUI) within a managed network, graphical representations of the KPIs. The system may also include a diagnostic database containing representations of a plurality of tests configured to determine whether the KPIs and the dashboards comply with pre-defined rules. The system may also include a computing device operational to execute a diagnostic software program configured to: obtain a representation of a particular test that includes a plurality of rules; apply each of the rules to the KPIs and the dashboards stored in the performance analytics database; and write, when applying at least one of the rules indicates a problem, an associated severity, problem description, and solution description to the diagnostic database as output of the particular test.

Agent-based models (ABMs) / multi-agent systems (MASs) are one of the most widely used modeling-simulation-analysis approaches for understanding the dynamical behavior of complex systems. These models can be often characterized by several parameters with nonlinear interactions which together determine the global system dynamics, usually measured by different conflicting criteria. One problem that can emerge is that of tuning the controllable system parameters at the local level, in order to reach some desirable global behavior. According to one exemplary embodiment t of the present invention, the tuning of an ABM for emergency response planning can be cast as a multi-objective optimization problem (MOOP). Further, the use of multi-objective evolutionary algorithms (MOEAs) and procedures for exploration and optimization of the resultant search space can be utilized. It is possible to employ conventional MOEAs, e.g., the Nondominated Sorting Genetic Algorithm II (NSGA-II) and the Pareto Archived Evolution Strategy (PAES), and their performance can be tested for different pairs of objectives for plan evaluation. In the experimental results, the approximate Pareto front of the non-dominated solutions is effectively obtained. Further, a conflict between the proposed objectives can be seen. Additional robustness analysis may be performed to assist policy-makers in selecting a plan according to higher-level information or criteria which is likely not present in the original problem description.

The invention discloses a PCB engineering problem contrastive analysis and PCB engineering problem contrastive analysis result sending method and device. The method comprises the steps of receiving PCB order form E-mails carrying Gerber files, extracting the Gerber files from the PCB order form E-mails, analyzing the extracted Gerber files, obtaining PCB circuit design and engineering parameters carried in the Gerber files, conducting comparison between the analytical circuit design and engineering parameters and preset circuit design and engineering parameters, when the analytical circuit design and engineering parameters are wrong or cannot reach a manufacturing technique level, marking relevant circuit design, giving out problem descriptions and modification references, and sending the analytical circuit design and engineering parameters, marks on the relevant circuit design, the problem descriptions and the modification references to an outbox of the PCB order form E-mails. The method strengthens convenience of communication between a client and a manufacturer in a circuit board printing process, and improves communication efficiency.

The invention discloses a help system based on timely communication tool and corresponding method, which consists of server and terminal to connect the server and make the terminal enrolling server as user, wherein the terminal contains help mode to receive problem description data to transmit to the server, transceiver mode to transceiver the help request, answer mode to answer the help request, disposed request list to store the disposed request; the server concludes request creating mode to create the help request according to the problem description, inform mode to transmit the help request to the terminal; the request creating mode connects the help mode and inform mode separately; the transceiver mode connects inform mode and disposed request list respectively; the answer mode connects the transceiver mode. The invention can acquire the help based on network rapidly due to establishing net-shaped help system through timely communication tool.

An apparatus and a method is provided for receiving help requests to solve a problem on a computer, generating a core problem description and retrieving at least one of contextual or environmental parameters associated with the computer. The method also includes assembling a formalized problem description. The method further includes obtaining previously stored formalized solution steps associated with the problem from a database and building a customized solution including context aware solution records that are tagged with at least one of contextual or environmental dependencies. The method also includes transmitting the customized solution to the computer for execution and monitoring the execution of the customized solution.

The invention relates to an insurance policy buyback method and system. The insurance policy buyback method comprises the steps that a first application program acquires insurance information and auditing rules, and sends the insurance information and the auditing rules to a second application program; the second application program checks the insurance information according to the auditing rules; if the insurance information contains exception content which does not conform to the auditing rules, the second application program records the exception content, acquires corresponding problem description according to the exception content and returns the problem description back to the first application program; and the first application program generates an exception notice corresponding to the insurance information according to the problem description and sends the exception notice to a terminal so as to enable the terminal to return a confirmation message according to the exception notice. The buyback efficiency can be effectively improved by adopting the method.

The invention relates to an intelligent recognition system based on a legal knowledge graph, which belongs to the field of fusion of technologies such as knowledge graphs and natural language processing and laws, and comprises a word vector representation module, a model training module, a question annotation module, a candidate entity set acquisition module and an emotion recognition module; theword vector representation module is trained by adopting Skip-gram model; the model training module is used for starting to train an entity recognition model by utilizing tensorflow; the question annotation module is used for extracting user question features by utilizing word vectors and inputting the user question features into a trained model to obtain a question sequence annotated by the model; the candidate entity set obtaining module is used for obtaining entity tags marked in a question sequence through the question marking module and obtaining candidate entity names through the entitytags; and the emotion recognition module is used for extracting user emotion from the question description statement of the user. According to the invention, the labor cost can be greatly reduced, andthe intelligent legal semantic recognition speed is increased.

The invention discloses a remote maintenance system and method. The system comprises a scanning unit, an information extraction unit, an information transmission unit and an information display unit, wherein the scanning unit is suitable for scanning the configuration information of software and hardware of a computer at a controlled terminal after establishing remote maintenance connection with a controlling terminal; the information extraction unit is suitable for analyzing the scanning results and extracting the key item information from the scanning results; the information transmission unit is suitable for transmitting the key item information to the controlling terminal; and the information display unit is suitable for displaying the key item information at the controlling terminal. According to the system and the method, an engineer at the controlling terminal can carry out judgment comprehensively in combination with the problem description of users and the specific key item information of the configuration conditions of the software and hardware, select the appropriate problem solving approach and execute corresponding operations, thus improving the effectiveness of remote maintenance operation; and besides, excessive occupation of the transmission resources such as bandwidth can be avoided in the realization process due to transmission of the key item information.

A system and associated method for building a knowledgebase for a software system. The knowledgebase has multiple problem-solution records for problems that may occur in the software system. A user of the knowledgebase requests a solution to a problem by submitting a problem description and payment information. The payment information is separately verified and the knowledgebase is searched for a problem-solution record that has the same problem description provided by the user. A solution of the matched problem-solution record is presented to the user and the user provides a feedback rating how effective the solution is in solving the problem. The feedback may be another solution for the problem or evidences supporting the feedback. If the feedback is evaluated to be valuable, the knowledgebase may be updated with the feedback. An author of an existing valuable solution and / or the user who provided another solution is rewarded.

A computer implemented method of matching user descriptions of technical problem manifestations with system problem descriptions in which system-level symptoms for computer-related problems which map to problem descriptions and recommended fixes are broken into sub-phrases, and an index of association ratios between the system-level symptom sub-phrases and sub-phrases derived from text extracted from corpora related to computer problem symptoms is generated and prioritized. When user-entered text related to a computer-related problem is received, it is searched against the prioritized index, and matches are presented for the user in order of prioritization from which the user can select and run a recommended fix to which the selection is mapped.

A system and method for converting text related to vehicle service to symptom codes. The method includes typing into work orders and service reports statements that describe the various symptoms and problems of a vehicle that is being serviced. The work orders and service reports are then transmitted to a database facility where they are analyzed. Prior to the reports being analyzed, the text in the work order and service reports is read by a machine reader that converts the text to symptom codes that describe particular vehicle conditions and symptoms. A processor analyzes the codes for patterns and other relationships, and can provide a display of such patterns. Further, the codes and reports are stored in a memory.

The present invention discloses an instant message method, device and system, belonging to the internet communication field. The method comprises: after a first terminal receives a first user's problem feedback request, obtaining the problem description information confirmed by the first user; automatically perform screen capture of the problem scene window information, packing the problem scene window information and the problem description information together, and compressing the packing file; uploading the compressed file to a file storage sever, and informing an operation server; downloading the compressed file from the file storage sever through the operation server, and analyzing the information related to the problem; and sending the information related to the problem to an operation terminal. According to the embodiment of the invention, the user side can rapidly, accurately and completely perform one-key submission of problems to be encountered so as to improve the automation degree; and moreover, the operation server can download the compressed file for the file storage server and can analyze and send the information related to the problem to the operation terminal so as to simplify the problem processing flow, shorten the problem processing period and reduce the operation maintenance cost.

The diagnostic and report system tests computer systems for defects that are able to cause performance and functional problems. An agent application is first installed on a user's system. The agent application then retrieves problem data from the expert system library pertinent to the user's operating environment. The agent application tests the user's system for each problem description within a downloaded data structure from the expert system library. If a problem is discovered, a script attempts to remediate the problem and / or notifies the user, describing the issue. The agent application utilizes discrete programs and / or scripts to send data to a knowledge base so that the knowledge base is able to generate new discrete programs and / or scripts using artificial intelligence which are sent to the expert system library. With additional discrete programs and / or scripts, the user's system is better protected.

Embodiments of the invention relate to automated system problem diagnosing. An index is created with problem description information of previously diagnosed problems, a diagnosis for each problem, and a solution to each diagnosis. System states, traces and logs are extracted from a source system with a new problem. The problem diagnosis system generates problem description information of the new problem from the system states, traces and logs. Problem description information of the new problem is compared with problem description information in the problem description index. A search score is computed for each document in the problem description index. The search score is a measure of similarity between each document in the index and the description of the new problem. A matching score is assigned to each previously diagnosed problems based on the search score. The matching score is a measure of similarity between the new problem and each previously diagnosed problem. The system determines a diagnosis and solution of the new problem based on a diagnosis and solution of one of the previously diagnosed problems.