36 results about "Brainstorming" patented technology

The invention describes a method and system for communication from one or more anonymous sender(s) and to one or more known recipient(s). This method involves the use of a trusted third party that: receives messages from a sender(s), validates the sender(s) and message destination, removes identifying header information from the message, stores the message for a random time period, and then sends to a defined set of recipient(s), all messages received, in random order. The third party receives messages in various formats and sends messages in recipients' preferred format. By holding messages for a random period of time and then sending them in random order to recipients, the third party diminishes the effectiveness of traffic monitoring activities. This invention is particularly designed for applications where senders are providing qualitative feedback to recipients, including but, not limited to, employee-employer communications, collaborative brainstorming, employee knowledge capture and dissemination, and customer-to-vendor feedback.

Computer-based group brainstorming system and method are disclosed. The invention system and method provide a certain area (e.g., a depicted room) as a brainstorming area in a virtual environment. A processor engine enables brainstorming sessions of multiple users in the certain area. For a given brainstorming session, the engine (i) indicates each user in the brainstorming session, and (ii) indicates communications (e.g., chat bubbles, votes, etc.) of each user in the brainstorming session. Color-coding of the users / avatars and communications may be used. Users may arrange indicia (e.g., indicators of project tasks) in the certain area in a manner that provides work flow or work assignments to users. Snapshots of the different states of a brainstorming session are enabled. User interaction with the artifacts of the brainstorming session remains active in the snapshots. Artifacts of a brainstorming session may later be reconstituted (reinstated) from a reloading of a snapshot into a subsequent session.

The invention discloses a brainstorming-based thermal power plant economic environment scheduling method. The method includes the following steps of: determining mathematical models of thermal power plant environmental economic scheduling problems; step 2, obtaining various parameters in the models; step 3, obtaining an initial feasible scheduling set of the thermal power plant environmental economic scheduling problems; step 4, evaluating the feasible scheduling set; step 5, updating the feasible scheduling set; step 6, judging whether entire feasible scheduling is updated completely; step 7, updating a non-inferior scheduling solution set in an external archiving set; step 8, performing iterative output of a final feasible scheduling scheme, and the method terminates. According to the brainstorming-based thermal power plant economic environment scheduling method of the invention, a thermal power plant is adopted as a power supply system, and solutions to thermal power plant economic scheduling problems which are required by comprehensive environmental protection can be realized through collection and analysis of data of a power system and the thermal power plant and a brainstorming optimization algorithm based clustering and variation ideas.

The instant invention is directed to a novel approach to identification and evaluation of the trends affecting a particular organization. By use of a specially designed software package, the participants in the evaluation are able to analyze and codify opportunities and / or threats that are present in the environment of the organization and to brainstorm solution as result of the codification of the stresses confronting the organization. This is accomplished by use of the software in a unique bisociational approach.

The present invention provides a failure logic modeling method for a high-speed railway train operation control on-board system, including the following steps: determining the functional relationship between the structure and the parts of the train control on-board system; analyzing the failures of the parts based on known failures of the train control on-board system in combination with brainstorming; establishing an FMEA table to generalize the failures of the parts; editing and simulating the failures by using a modeling tool. By adopting the present invention, the failure modes analyzed are more systematic, and the failure logic modeling can be carried out from a global perspective more easily, the whole process can be better targeted meanwhile, the security analysis complexity of the train control system will be effectively reduced and the development period of the train control system will be shortened.

An intelligence-driven virtual assistant for automated documentation of new ideas is provided. During a brainstorming session, one or more user participants may discuss and identify one or more ideas. Such ideas may be tracked, catalogued, analyzed, developed, and further expanded upon through use of an intelligence-driven virtual assistant. Such virtual assistant may capture user input data embodying one or more new ideas and intelligently process the same in accordance with creativity tool workflows. Such workflows may further guide development and expansion upon a given idea, while continuing to challenge ideas, provide opportunities to collaborate, and optimize scheduling of ideation sessions for efficiency, while continuing to document, analyze, and identify further aspects to develop and expand.

The invention provides a system and method of collaborative publishing including a computer operated by software with machine-readable instructions to allow a first user to connect with other users, utilize a brainstorming aide for customized writing assistance, collaboratively or independently draft and a book, and review and publish a book.

The invention relates to a correction optimization algorithm of a nonlinear sensor, the invention particularly relates to a nonlinear sensor correction method based on a brainstorming optimization algorithm, A mathematical model of nonlinear sensor calibration is establish, The calibration capacity constraint and fitness function of the nonlinear sensor calibration mathematical model are set, andthe nonlinear sensor calibration mathematical model is used to calibrate the nonlinear sensor through the brainstorming optimization algorithm. The correction method of the invention can obtain the global optimal solution by comparing the local optimal solution, and can calculate the correction undetermined constant group with high accuracy and high speed.

The invention discloses an index weight distribution method based on an AHP and expert sorting empowerment. The method comprises the following implementation steps that 1, an individual judgment matrix Ae of experts is built on the basis of individual judgments of the experts, and the individual judgment matrix needs to be processed through consistency verification; 2, the same weight is given to each expert to build a primary group judgment matrix Aa, and a primary group decision index weight vector Ua is calculated; 3, different weights we are given to the experts according to expert sorting; 4, a secondary group decision index weight vector Ub is calculated; 5, index weights are output according to the Ub. According to the method, the positive effect of group decision and brainstorming of the experts is effectively achieved, and meanwhile the negative influence of individual extreme preferences in the group decision on the decision is effectively corrected; compared with an index weight distribution method based on the AHP and expert clustering, the method has the advantages that expert clustering iteration computation does not need to be performed, expert clustering convergence conditions do not need to be determined, the calculating steps are clear, and the calculating amount is less.

An embodiment of the invention provides a cloud brainstorming service implemented on at least one cloud servers. The cloud brainstorming service comprises a message service component, a brainstorming logic component and a cluster component, the message service component is configured to receive multiple ideas from one or multiple users of equipment through a network, the users represent members of a brainstorming meeting, the brainstorming logic component is configured to process the multiple ideas and store multiple processed ideas in an in-memory database system, the cluster component is configured to retrieve the multiple processed ideas from the in-memory database system and arrange the multiple processed ideas in one or multiple clusters, each cluster is a group of similar ideas, the message service component is configured to provide the multiple processed ideas arranged in one or multiple clusters through the network for displaying.

An intelligence-driven virtual assistant for automated documentation of new ideas is provided. During a brainstorming session, one or more user participants may discuss and identify one or more ideas. Such ideas may be tracked, catalogued, analyzed, developed, and further expanded upon through use of an intelligence-driven virtual assistant. Such virtual assistant may capture user input data embodying one or more new ideas and intelligently process the same in accordance with creativity tool workflows. Such workflows may further guide development and expansion upon a given idea, while continuing to document, analyze, and identify further aspects to develop and expand.

For the disadvantages that the existing method is poor in optimizing result and slow in convergence speed and loses efficacy while the joint perceptive probability is relatively high when the problem of optimal equivalent working sensor distribution in target coverage is solved, the invention provides a novel optimal target coverage method for a heterogeneous sensor network. By means of the optimal target coverage method provided by the invention, the disadvantage that the current brainstorming optimization algorithm cannot be applied to a discrete problem can be solved; and the application range of the brainstorming algorithm is expanded. A simulation result shows that: compared with the existing classical target coverage method, the convergence speed and the convergence precision of the optimal target coverage method in the invention are relatively superior; therefore, the effectiveness of the optimal target coverage method in the invention is proved; under same conditions, when the joint perceptive probability constraint is relatively strict, the traditional method can lose efficacy; but, the method in the invention still is feasible. According to the optimal target coverage method provided by the invention, scheme exchange in a brainstorming process is reflected in the generation mode of a new scheme in a fusion manner; and, compared with scheme exchange of the original brainstorming algorithm, the scheme exchange is relatively wide, and is closer to a real brainstorming process.

An intelligence-driven virtual assistant for automated documentation of new ideas is provided. During a brainstorming session, one or more user participants may discuss and identify one or more ideas. Such ideas may be tracked, catalogued, analyzed, developed, and further expanded upon through use of an intelligence-driven virtual assistant. Such virtual assistant may capture user input data embodying one or more new ideas and intelligently process the same in accordance with creativity tool workflows. Such workflows may further stimulate creativity for capturing ideas, while continuing to document, analyze, and identify further aspects to develop and expand.

The invention provides an internet-based enterprise management information communication method. The method comprises the following steps: establishing a supply-demand information communication channel of a supplier user and a demander user based on the internet through a demander client, a supplier client and an information server, eliminating the language barrier between the supplier user and the demander user through the adoption a translation server, wherein the demander user, such as the enterprise, can publish encountered business problem, technical problem or management problem and like enterprise problems to talents all around the world through the method so as to search a solution, the capability of solving the problem by the enterprise can be maximally improved and the problem solving period can be maximally shortened through brainstorming, and the talent cost and the time cost of the enterprise are saved. And meanwhile, the supplier user can experience different life in various countries in the world while implementing the working. Furthermore, more working opportunities are created for idle translators, and the idle translation resources are sufficiently utilized.

The invention discloses a brainstorm-based scheduling method for the economic environment of a thermal power plant. The steps include: step 1, determining the mathematical model of the environmental economic scheduling problem of the thermal power plant; step 2, obtaining various parameters in the model; step 3, obtaining the environment The initial feasible scheduling set of the economic scheduling problem; Step 4, evaluate the feasible scheduling set; Step 5, update the feasible scheduling; Step 6, judge whether the entire feasible scheduling is updated; Step 7, evaluate the non-inferior scheduling in the external archive set The solution set is updated; step 8, iteratively outputs the final feasible scheduling scheme, and it is completed. The method of the present invention uses the thermal power plant as the power supply system, utilizes the collection and analysis of the data of the power system and the thermal power plant, and combines the brainstorming optimization algorithm based on the idea of ​​clustering and variation to realize the solution to the thermal power plant economic scheduling problem that requires comprehensive environmental protection solve.

An intelligence-driven virtual assistant for automated documentation of new ideas is provided. During a brainstorming session, one or more user participants may discuss and identify one or more ideas. Such ideas may be tracked, catalogued, analyzed, developed, and further expanded upon through use of an intelligence-driven virtual assistant. Such virtual assistant may capture user input data embodying one or more new ideas and intelligently process the same in accordance with creativity tool workflows. Such workflows may further guide development and expansion upon a given idea, while continuing to document, analyze, and identify further aspects to develop and expand.

The invention discloses an office management system. The system comprises a procedure approval module for classifying and approving the procedures; a cooperative work module for enabling the staff to conveniently realize the brainstorming, division-cooperation and resource integration with other colleagues through the use of the flexible cooperation procedure, and enabling lots of work in random and diffuse statuses to realize ordering, traceability and retroactivity, thereby realizing the unification of the convenience and effectiveness of the work; a communication module for transmitting and feeding back the thought and feeling between the people and between the people and the population; a document management module for storing, classifying and retrieving the documents, the electronic tables, the patterns and the image scanning documents. The working efficiency and the convenience are improved, the ordering, traceability and retroactivity of the work are realized, the normativity of the daily management is improved, and the controllability of the enterprise is increased.

The invention discloses a circle shear overlap amount controller parameter optimizing method based on brainstorming. The method comprises the steps that 1, a mathematical model controlled by overlap amount parameters is set up; 2, relevant parameters of practical problems and brainstorming optimizing strategies are set; 3, N sets of initial PID control model parameters are generated; 4, the PID parameters are evaluated; 5, PID parameter sets are updated on the basis of the brainstorming optimizing idea, and clustering, selecting and mutating are carried out on the PID parameters; 6, whether updating of all PID parameter individuals is finished is judged; 7, whether the number of iteration times t reaches the maximum number of iteration times is judged. The method is simple in step and accurate in control.

The invention relates to a pure natural radiation-removing healthy tea, and is characterized in that: the utility model comprises wild chrysanthemum, coriolus versicolor, grass cassia and worm grass, and is refined through a scientific method. The invention has the advantages that: the color, smell and taste of the prior green tea are kept; the healthy tea is fragrant with sweet taste; the radiation-removing function is efficient and good; in addition, the invention also has the advantages of brain strengthening, eyesight improvement, brainstorming, eyesight protection, spleen strengthening and stomach reinforcement, kidney nourishment and liver smooth, fatigue elimination and aging delay; thereby the invention is suitable for the computer and cell phone users, television viewers and the people who engage in screen approach and radioactive operation.

The invention discloses a flow method of meeting cooperation and a decision. The flow method is mainly applied to the decision-making on key problems of a facilitation type management team in the fields of education, information and business. The flow method comprises the meeting module control, meeting flow of the cooperation and the decision making, decision result quantitative evaluation and amendment feedback. The flow method of the meeting cooperation and decision in the claim 1 is characterized by comprising the first step of formulating a reasonable meeting module, control time and the number of people taking participation in a meeting, the second step of initially collecting and classifying the viewpoints of team members based on the methods of brainstorming, rice flower picking up, leafhopper thinking and bucket rambling, further screening and rectifying and putting forwards targeted and integrated points, the third step of carrying out write-in or secret balloting, counting scores in a quantitative mode and evaluating and rectifying to obtain the decision result, and the fourth step of formulating the flow method based on the team meeting cooperation and decision by a large amount of experimental measurement and comparison. The normalization and effectiveness of decision making in the field in China are facilitated.

The invention discloses a method for adjusting overlap parameters of a cycle shear based on multi-target brainstorming. The method comprises the steps of 1, constructing a mathematical model for controlling the overlap parameters; 2, setting related parameters of actual problems and multi-target brainstorming optimizing strategy; 3, generating N groups of initial PID parameters; 4, estimating the PID parameters; 5, updating the PID parameter set based on the brainstorming optimizing concept; 6, determining whether all PID parameters are updated; 7, updating a non-dominated PID parameter solution set in an external filing set; 8, enabling the iteration times to reach the maximum iteration times, so as to finish the adjusting. The method is simple in steps and accurate in control result.

The present invention relates to an AUV path planning method based on an improved brainstorming optimization algorithm, which specifically includes the following steps: 1. Construct a three-dimensional optimal navigation surface, randomly generate n groups of initial path control parameters and divide them into m categories, and a group of parameters depends on For an individual, calculate the cost function value of the individual, and the optimal individual of each class becomes the center of the class; 2. Select the individual to be mutated according to the brainstorming optimization algorithm, apply the global optimal strategy to the mutated individual, and obtain a new Individuals, survival of the fittest to update the population; 3. Multiple iterations until the number of iterations meets the termination condition, and output the optimal individual. The invention makes full use of the advantages of the brainstorm optimization algorithm based on global optimization and differential mutation in dealing with low-dimensional problems, captures the characteristics of the cost function well through differential mutation, fully utilizes ocean currents to reduce voyage time, and combines following the global optimal strategy , so that the algorithm has a higher potential to find a better solution in a shorter time.

The invention relates to a pure natural radiation-removing healthy tea, and is characterized in that: the utility model comprises wild chrysanthemum, coriolus versicolor, grass cassia and worm grass, and is refined through a scientific method. The invention has the advantages that: the color, smell and taste of the prior green tea are kept; the healthy tea is fragrant with sweet taste; the radiation-removing function is efficient and good; in addition, the invention also has the advantages of brain strengthening, eyesight improvement, brainstorming, eyesight protection, spleen strengthening and stomach reinforcement, kidney nourishment and liver smooth, fatigue elimination and aging delay; thereby the invention is suitable for the computer and cell phone users, television viewers and the people who engage in screen approach and radioactive operation.

The invention is a turning coaster consisted by two disks folding together, which offers the brainstorming game for entertainment. The patterned stickers on each surface of the disks may form various patterns by turning and present many kinds of look, which may improve the visual effect and reach the purpose of promotion. This design does not only make the best use of the coaster, but also produce higher added values. In addition, this invention can also used for other purposes, such as coaster, brainstorming game, stationery, etc.

For the disadvantages that the existing method is poor in optimizing result and slow in convergence speed and loses efficacy while the joint perceptive probability is relatively high when the problem of optimal equivalent working sensor distribution in target coverage is solved, the invention provides a novel optimal target coverage method for a heterogeneous sensor network. By means of the optimal target coverage method provided by the invention, the disadvantage that the current brainstorming optimization algorithm cannot be applied to a discrete problem can be solved; and the application range of the brainstorming algorithm is expanded. A simulation result shows that: compared with the existing classical target coverage method, the convergence speed and the convergence precision of the optimal target coverage method in the invention are relatively superior; therefore, the effectiveness of the optimal target coverage method in the invention is proved; under same conditions, when the joint perceptive probability constraint is relatively strict, the traditional method can lose efficacy; but, the method in the invention still is feasible. According to the optimal target coverage method provided by the invention, scheme exchange in a brainstorming process is reflected in the generation mode of a new scheme in a fusion manner; and, compared with scheme exchange of the original brainstorming algorithm, the scheme exchange is relatively wide, and is closer to a real brainstorming process.

The invention relates to a creative guidance teaching device and a method thereof. The creative guidance teaching device mainly comprises multiple mind guidance assemblies, at least one action triggering module arranged on each mind guidance assembly and for being reviewed by at least one use end for triggering a related action for an object body, multiple operation guidance assemblies arranged at one side of the mind guidance assemblies and matched with the mind guidance assemblies for action, and at least one logic link module arranged on each operation guidance assembly for enabling the use end to use effects of the action triggering module to generate at least one creative logic part combined with the object body. With the above structure, the mind guidance assembly is used to trigger the use end to carry out actions such as observation, questioning or analysis on the object body, and the operation guidance assembly is then matched to generate the creative logic part. Thus, the use end is taught how to excite the creativity on the object body, and progressiveness of achieving brainstorming and even actual application to commodities is achieved.

The invention discloses a facial emotion recognition feature selection method based on an improved brainstorming optimization algorithm, the steps are as follows: (1) extracting expression features from a facial image by using a histogram of direction gradient HOG to form an initial feature vector; (2) calculating the emotion The difference value between the eigenvector and the neutral emotion eigenvector, find all the features that are different due to emotional changes, construct the difference eigenvector, and pass it to the feature selection module; (3) use the improved brainstorming method in the feature selection module The optimized feature selection method finds a feature subset with the least number of features and the highest classifier accuracy; (4) uses the support vector machine determined by the above feature subset as an emotion classifier to classify new facial images, and then The facial emotion recognition is completed; the invention significantly improves the recognition accuracy of the algorithm; reduces the search space of the brainstorming optimization technology, and obviously improves the processing speed of the facial emotion recognition problem.