136 results about "Decision making support systems" patented technology

Systems and methods to leverage and manage data and knowledge in a M2M or Internet of Things (IoT) network are provided. More particularly, a cognitive intelligence platform for an IoT network that provides autonomic decision support system at or near real-time and executes a dynamic runtime is provided. The hardware, software and communication design of the platform replicates the structural and operational model of the human nervous system to achieve cognitive intelligence through adaptation, collaborative learning, knowledge sharing and self-adjustment. Further, in one embodiment, the cognitive intelligence platform has three logical processing layers of increasing complexity, each of which has agents that use statistical and machine learning techniques and algorithms to resolve situational needs and update knowledge. Furthermore, each processing layer of the platform has a basic level of intelligence and additionally the hierarchy of layers aggregates the learning and intelligence at each layer.

A grid planning computer assistant decision-making supporting system, in the field of computer application technologies, consists of an entity library, a module for the procurement and conversion of GIS graphic data, a user graphic interface module, a system data treatment and maintenance module, a network planning module, a form and graph printing module, and a dynamic link library. The module for the procurement and conversion of GIS graphic data obtains graphic data; the entity library obtains the graphs and geological information data needed by grid planning from the module for the procurement and conversion of GIS graphic data; the network planning module makes plan for the grid and evaluates the planning scheme; the system data treatment and maintenance module enters the data needed in grid planning into the entity library, and maintain parameters of the entity library; data exchange among the modules is realized through the user graphic interface module and the system data treatment and maintenance module. The invention relieves planners of heavy works and lifts the level and efficiency of grid planning.

The present invention includes methods, circuits, devices, systems and associated computer executable code for providing driver decision making support. According to some embodiments, there may be provided a driver decision support system, which may generate action recommendations to a commercial driver, such as a taxi driver, a cab driver, a limo driver or any other kind of driver who picks up and transports passengers or cargo on an ad hoc (or otherwise flexible/uncertain) basis.

The invention relates to an on-line large power grid recovery assistant decision-making system. The system comprises two work modes, namely a real-time assistant mode and a research and analysis mode, a fracture surface operation analysis module, a calculation configuration module, a calculation function module and a calculation management module, wherein the fracture surface operation analysis module is used for fracture surface reading and fracture surface adjustment, the calculation configuration module is used for setting calculation parameters and selecting a black-start power supply and a started power supply, the calculation function module is used for system partitioning, load flow calculation, electromagnetic transient calculation, electromechanical transient calculation and path search and assessment, and the calculation management module is used for displaying system partitioning schemes, voltage waveforms, ranking of available paths and a black-start generating scheme. When the on-line large power grid recovery assistant decision-making system is used for developing an on-line electric power system recovery assistant decision-making supporting system, existing data resources in a dispatching center can be sufficiently utilized, the advantages of the method of pre-arranged scheme recovery and intelligent dispatching are combined, a model does not need to be rebuilt, the construction time and cost of the system are reduced, the real-time performance and the accuracy of suggestions to decision-making are improved, and a powerful support is provided for rapid and reliable recovery of a power grid after power outages.

The application discloses a video-analysis-based commercial intelligent operation decision-making support system and method, so that the benefits of operation decision making are increased. The system is composed of a camera network, a video identification module, and a data analysis module. The video identification module carries out video identification to obtain customer attribute data like genders and ages and the like; the data analysis module receives the customer attribute data from the video identification module and generates data expressing a relation between customer and marketing by combining shopping mall marketing management data. The marketing management data include a commodity settlement list. The customer attribute data include information of the number, genders, and ages. The data expressing a relation between customer and marketing include a customer number proportion of customers purchasing, browsing, or exchanging commodities with specific types, a gender proportion, and age distribution information and the like. According to the invention, the provided method consists of a field image shooting step, a video identification step, and a data analysis step. The customer behavior is analyzed in real time; the marketing activities can be arranged rapidly and reasonably and the marketing strategy can be adjusted; and the service quality can be enhanced.

The invention discloses a computerized method, system and device for maximizing airport landing and takeoff capacity by generating an optimized landings and takeoffs schedule for a plurality of aircrafts located in a vicinity of a specific airport by determining an optimal four dimensional (4D) trajectory for efficient landing/takeoff sequence and time schedule.

The aircrafts are separated by the number of parameters to ensure safety for the aircrafts according to the updated FAA/EASA standards. Accordingly, the model disclosed in the invention works under current FAA/EASA runway usage, precedence and time constrains.

Special Takeoffs Traffic Lights System is additionally disclosed, wherein Traffic Lights will be installed on the runway to increase the landing/takeoff safety, such traffic lights will have changing green/red colors on vacancy/occupancy of the specific runway.

The system could be used either as an automatic system or as a decision-support system for ATC personnel.

The invention discloses a diagnosis and treatment decision-making support system. The system includes a human-computer interaction unit, a processing unit, a decision-making support unit and a database unit, wherein the human-computer interaction unit is used for a user to exchange data with the diagnosis and treatment decision-making support system, the processing unit is connected with the human-machine interaction unit and is used for performing business and data processing, the decision-making support unit is connected with the processing unit and is used for feeding back decision-making schemes according to input data, and the database unit is used for storing medical treatment data to provide a data foundation for the decision-making support unit. The system of the invention can maximally conform to actual clinical diagnosis and treatment processes and provide full-process diagnosis and treatment decision-making services for doctors. With the diagnosis and treatment decision-making support system of the invention adopted, diagnosis and treatment schemes and suggestions can be provided for doctors; the doctors can be assisted to improve decision-making levels; the doctors canbe prompted with potential errors; diagnostic suggestions and decision-making schemes can be provided according to the disease conditions of specific patients, so that the doctors can be assisted to comprehensively understand a wide range of possibilities; the doctors can be assisted to make better decisions, so that a misdiagnosis rate can be reduced; and the system can be combined with the actual diagnosis and treatment processes, so that the actual diagnosis and treatment processes can be standardized.

The invention provides a knowledge base construction method and system for an intelligent clinical assistant decision making supporting system, and relates to the field of knowledge base construction. The method comprises the steps that input information is acquired, word segmenting processing, part-of-speech tagging and grammatical analysis are conducted on the input information, a relational dependence tree is acquired, and concepts, entities and entity modifiers in the relational dependence tree are extracted; the relation among all the entities in the relational dependence tree is acquired through relational semantic rules according to the concepts, the entities and the entity modifiers; an extending ternary group is set, the relation among all the entities in the relational dependence tree is stored through the extending ternary group, and then knowledge base construction is completed. The method and the system can be applied to the condition of more clinical examples and characteristics and can be flexibly expanded for case description information.

A medical diagnosis decision support system for assisting a health professional to diagnose a medical condition. The system is first provided with an anchor condition that can be a symptom, a sign, a laboratory test result, or an imaging test results or any combination thereof The system then guides users in a series of predetermined phases regarding abstract or concrete diagnosis groups that should be considered and appropriate data that should be collected during the clinical investigation process. The system suggests history and physical examination clinical data items, laboratory, and imaging tests that should be collected in order to differentiate among alternative diagnoses. In each phase, possible diagnoses are listed and ranked.

The invention discloses a knowledge graph-based cross-department early-diagnosis and decision support system for chronic kidney diseases. The system comprises a patient information model establishmentmodule, a patient information model library storage module, a knowledge graph association module, a knowledge graph reasoning module and a decision support feedback module. According to the invention, a patient information model is constructed, and an OMOP CDM standard term system is utilized to construct electronic medical record data of patients into the patient information model with unified concept codes and unified semantic structures; the advantages of a semantic technology in data interaction and expansion are given to play, so the system has better adaptability and expandability to heterogeneous data of different hospitals; and meanwhile, clinical suggestions obtained through knowledge reasoning based on the knowledge graph are originated from clinical guidelines and doctor experience conforming to evidence-based medicine, and reasoning process and suggestion reasons can be traced and acquired by constructing reasoning instances, so the reasoning process and the suggestion reason can be given while clinical suggestions are given, and the credibility of doctors to decision support suggestions is improved.

The invention relates to an infectious disease prevention and control system, in particular to a frontier port infectious disease quarantine decision making support system which comprises a medical inspecting and infrared thermal imaging body temperature video monitoring system, a passenger autonomous application system, a port health quarantine service information management system and a front end decision making support application system and further comprises a cloud computing SaaS mode support system used for collecting epidemic situation data from the port health quarantine service information management system, automatically collecting the epidemic information of countries and regions from WHO notification, the notification of the ministry of health and the epidemic situation information disclosed by the Internet through a Web creeper technology and adopting a large data analysis technology to provide decision making support and risk evaluation for the leader or the relevant decision making department. By means of the system, a unified frontier port infectious disease three-class laboratory network prevention and control system is built, and a full-direction three-dimensional multilevel comprehensive prevention and control network is built.

The invention discloses a cloud based irrigation district water-saving irrigation decision-making support system. The system comprises a cloud server, wireless data transmission modules, single chip microcomputers, sensors and a gate, and the cloud server comprises a database and a webpage. Decision-making steps of the system include: setting up the database, carrying out multi-point measurement of paddy field moisture and water level of a district to be measured, and storing average data in the database; automatically capturing data of an official weather forecast website, storing the data in the database, and using temperature data for estimating water requirement of crops; according to measured data and a corresponding water balance model, computing to judge whether irrigation is needed or not, and if so, determining irrigation amount and irrigation time; and enabling the webpage to be capable of serving as a data display terminal and a lower computer control terminal. The irrigation district water-saving irrigation decision support system is set up on the basis of the cloud server, data is transmitted through a mobile network, and accordingly data transmission range can be enlarged, and irrigation district informatization management level is improved.

The invention discloses an integrated planning decision support system of an urban connection bus system. Fusion of big data, The invention discloses a GIS, operation optimization, artificial intelligence and other technologies. analyzing resident travel time-space aggregation points through mobile phone signaling data and a GIS; the actual topological structure of the road is considered; feasibleconnection stations around any resident travel gathering point are automatically screened; Running state according to traffic network, An intelligent decision-making technology is utilized, an optimal resident getting-on position is selected from an alternative connection station set, demand points are distributed to connection stations, accordingly, the sequence of the connection lines accessingthe connection stations and the departure frequency of the connection lines are calculated, and urban connection bus system design is assisted by comparing design schemes under different conditions.The method provided by the invention is applied; The method has the advantages that connection bus planning and management can be assisted, on the basis of passenger travel space-time aggregation characteristics, the optimal bus station position is selected according to the topological structure and the operation state of a traffic network, demand points are distributed to selected connection stations, the route direction and the departure frequency are reasonably determined, the travel convenience of passengers is improved, and the bus operation cost is reduced.

System for assisting the driving of a ship, configured to estimate the structural loads of the ship due to the direct wave excitation, and structural loads of the ship due to the whipping effect caused by the wave slamming. The system includes at least one reference sensor (40') adapted to provide an indication of a motion or stress magnitude at a predetermined point of the ship structure, and is further configured to calculate an estimate of said magnitude at the predetermined point in the ship structure, compare said indication of magnitude with the estimate of said magnitude so as to determine an offset value, and correct the estimates of the structural loads and/or the estimate of said magnitude on the basis of said offset value.

The invention discloses a multi-source data assisted clinical decision support system and method. The system comprises a medical/pharmaceutical data storage unit, a clinical pathway/evidence storage unit, an information input unit, a comparison processor unit, a diagnosis and treatment result output unit and an early warning and operation recording unit. According to the multi-source data assisted clinical decision support system and method of the invention, feasible clinical diagnosis and treatment scheme suggestions and corresponding clinical research and real world research evidence support are provided for medical workers, the whole disease cycle of diagnosis, treatment, prognosis, out-of-hospital management, disease burden and the like is covered, and doctors are assisted to quickly improve the clinical diagnosis and treatment level; the contradiction that time and energy of medical workers are difficult to keep up with clinical research progress is solved, and medical resources are balanced. After the system is deployed to a hospital end, when a doctor makes a prescription, the system can carry out reasonable early warning on treatment and medication schemes specifically involved in a clinical path; based on individual differences of patients, the reasonability and safety of the medication schemes are ensured, and the overall medical service quality is improved.

The invention discloses a decision support system architecture and method based on a water conservancy knowledge-factorial coupling network. The system comprises an inference mechanism module, a factorial map module, a rule base module and a water conservancy knowledge map module. Firstly, a water conservancy knowledge graph module and a related monitoring database are constructed; the rule base construction module comprises a rule base of an inference rule, an object rule and an attribute rule; the cause map module realizes cause maps associated with an inference rule base, an object rule base and an attribute rule base; the reasoning mechanism module realizes establishment of a reasoning framework running on a coupling network formed by combining a water conservancy knowledge graph and afact graph based on a rule base, reasoning is performed on a reasoning target on the reasoning framework, and finally decision support information pushing is completed; according to the method, causeanalysis and decision support are carried out on the target event in real time, and a real-time, accurate and efficient reasoning effect can be achieved.

The invention discloses a logistics transportation decision-making support system used for determining vehicle number and type required to take part in operation, and transmitting the vehicle number and type to a vehicle scheduling system. The logistics transportation decision-making support system comprises a preprocessing module, an evaluation index determining module, a performance measuring and evaluating module, a capacity decision-making module and a newly increased transportation resource decision-making support module, wherein the preprocessing module, the evaluation index determining module, the performance measuring and evaluating module and the newly increased transportation resource decision-making support module are connected with the capacity decision-making module. The logistics transportation decision-making support system and a logistics transportation decision-making support method provided by the invention can calculate whether the current steel logistics transportation business volume reaches the upper limit of the capacity of the transportation resources such as vehicles and the like to analyze the bottleneck influencing the capacity of the transportation resources such as the vehicles and the like to reach the upper limit, and simultaneously can analyze and calculate whether newly increased transportation resources are needed, and the number and type of the newly increased transportation resources.

The invention discloses an irrigation district agricultural irrigation water demand decision-making method and system. The decision-making method comprises the following steps that firstly, the soil moisture content, the regional crop planting structure, the crop daily water consumption and the like of an irrigation area are calculated based on the 3S technology, and a soil moisture content prediction model based on soil water balance is generated; then a large-scale regional irrigation water demand prediction model is obtained; an actual irrigation area monitoring model is established based on vertical drought index difference; an irrigation area water resource optimal configuration model is constructed according to the soil moisture content prediction model, the regional irrigation waterdemand prediction model and the actual irrigation approximate area monitoring model; and finally, a one-key irrigation water decision support system is developed for the irrigation district. According to the remote sensing data, weather conditions, soil types and the like of different regions, automatic interpretation of irrigation district planting structures, irrigation district drought information monitoring and early warning, actual irrigation district monitoring, irrigation water utilization efficiency, irrigation district agricultural water demand and the like can be realized.

The invention discloses a multi-expert dynamic coordination judging method and an intellectualized aid decision support system. The method comprises the following steps of: 1) establishing a judging system; 2) assigning weights to factors and realizing the consistency of the assigned weight of each factor through dynamic coordination; 3) making single factor judgment by experts respectively and obtaining comprehensive decisions; 4) converting the comprehensive decisions of the plurality of experts into a decision information set, and calculating the consistency of each decision scheme; and 5) under given precision, if the comprehensive decision of an individual expert is not consistent, adjusting to obtain the result of the comprehensive judgment. The intellectualized aid decision support system comprises five sub systems, namely an online help sub system, an inner management sub system, a user data management sub system, a model simulation sub system and a decision support sub system. By the method and through the system, the consistency of the assigned weight of each factor and the single factor judgment is realized; and the problem that the judgments of some experts are much different from the centralized judgment by the traditional method of averaging each judgment value according to the number of the experts is solved.