Abstract: In a data cooperation system in which information cooperates in a first system, a second system and a third system, the first system provides an already operating service and collects and publicizes behavior data as information for providing the service, the second system acquires the behavior data, generates a verification result applying the behavior data to a new technology as verification data, and publicizes the verification data, and the third system receives the behavior data and the verification data, supports decision of the determination result data, and publicizes the decided determination result data.

Abstract: Allowable constraint relaxation is achieved even when it is difficult to identify a constraint satisfaction solution. A production plan making device 1 that makes a plan related to a task has a production history DB2 that stores history information in the task, a past history reading unit 13 that reads the history information, a constraint relaxation unit 12 that identifies a deviation degree indicating a position relationship related to the constraint boundary of a constraint in making the plan of a history represented by the history information, calculates a weight indicating the degree of the constraint for constraint relaxation according to the deviation degree, and relaxes the weight when the plan cannot be made by an optimization process based on the weight, and a mathematical optimization unit 11 that makes the plan by the optimization process on the basis of the relaxed weight.

Abstract: Supply and demand of resources are controlled while satisfying both a resource providing condition and a resource use condition. A resource mediation server 1 predicts an arrival clock time in a case of no occurrence of a railway car accident P3, an arrival clock time after recovery from the railway car accident P3, and an arrival clock time in a case of using a special bus on the basis of a damage scale due to the railway car accident P3, delivers prediction information to each passenger, delivers a special bus service plan to a bus company, provides a condition for using the special bus to the passenger and the bus company on the basis of the prediction information about the arrival clock time, and conducts mediation of the number of special buses and a fare of each special bus between the passenger and the bus company.

Abstract: In a production support system, process knowledge information is updated using machine learning on the basis of implementable process information, and implementable process information is output as a production plan of a product. Accordingly, production can be carried out considering factors, such as restart cost of facilities used in each of processes, for which skilled experience and knowledge are required with respect to the production of the product, and therefore the product can be produced effectively with low cost. Further, even when limitation conditions such as production capacity or quantity of a product exist for each of processes, suitable production can be carried out that satisfies these limitation conditions.

Abstract: An action-value function initializing unit inputs search information including a history of a solution, a constraint equation, and an initial state of a selectable domain of a decision variable, sets a decision variable selected in each step and a value of the decision variable as a policy, and initializes an action-value function including the policy, a selectable domain of a decision variable before policy decision, and a selectable domain of a decision variable after the policy decision as parameters. A search unit receives information of the action-value function initialized by the action-value function initializing unit, obtains a value of a corresponding action-value function from the policy, the domain of the decision variable before the policy decision, and a domain of the action-value function after the policy decision, searches for a policy in which the action-value function is largest, and searches for an optimum solution for the problem information.

Abstract: A modeling device models observation data and includes a database unit that stores a mathematical model based on environment data obtained from the observation data, a statistical model based on a parameter, and region information including each point at which the observation data is obtained; a data reading unit that acquires the observation data and the environment data; and a modeling processing unit that applies the mathematical model or the statistical model. The modeling processing unit calculates a model output by applying the acquired environment data to the mathematical model at each point included in the region information. When a difference between the calculated model output and the acquired observation data is determined to be equal to or greater than a preset threshold, the modeling processing unit calculates a parameter from the acquired observation data and applies the statistical model using the calculated parameter.

Abstract: The system includes an ideal plan creation unit configured to create an ideal plan of the respective processes in a first process order based on a process knowledge information being a relationship between the product and an implementation time of the respective processes and on a predetermined indicator, a plan candidate planning unit configured to create a plurality of the plan candidates in the respective processes in an order opposite to the first process order based on a limitation condition being a limitation or condition which imposes on the respective processes, a plan candidate selection unit configured to calculate similarity between the ideal plan and each of the plurality of the plan candidates and to select the plan candidate having a high similarity to the ideal plan as an implementation plan, and a learning unit configured to reflect the selected implementation plan on the process knowledge information.

Abstract: A plan coordination system includes a processing device configured to perform: processing that generates public data from definition data of plans, receives definitions by a user for information coordinated between plans among process procedures indicated by the public data, applies the definitions by the user to the definition data of the plan, and generates a plan coordination model; processing that notifies the data to a management device of another plan as a coordination destination in the coordination relation at a change event on the definition data, changes the plan coordination model based on a generation result of the other plan reflecting the change event, and notifies the changed data to the management device of the other plan having the coordination relation with the plan changed along with this change; and processing that outputs a generation result of each plan when planning is completed for all plans.

Abstract: The problem to be solved is to allow anyone other than the contents license owner to acquire a right usage opportunity of contents while the fraud in the contents can be detected. To solve this problem, a contents ID, distribution media information specifying the distribution media of the contents, and identification information containing distribution period information specifying the distribution period of the contents are attached to the contents body When a contents acceptance module 140 receives the contents data, an acquisition pattern recognition unit 142 recognizes the acquisition pattern information of the contents data. A identification information extraction module 154 of a contents validity determination module 150 extracts identification information from the contents data.

Abstract: The problem is to make a reliability decision on printed matter without using special ink or a dedicated blank. At least a part of a feature of a state included in printed matter is recorded by using a predetermined method at the time of printing. At the time of verification, the feature of the state acquired from the printed matter is compared with the feature recorded at the time of printing to conduct verification. As this feature, a feature value determined on the basis of a feature of the state of the printed matter, in the state of the printed matter determined in association with spatial distribution of a coloring portion on the printing surface, at the time when printing first information to be recorded is used.

Abstract: The problem is to make a reliability decision on printed matter without using special ink or a dedicated blank. At least a part of a feature of a state included in printed matter is recorded by using a predetermined method at the time of printing. At the time of verification, the feature of the state acquired from the printed matter is compared with the feature recorded at the time of printing to conduct verification. As this feature, a feature value determined on the basis of a feature of the state of the printed matter, in the state of the printed matter determined in association with spatial distribution of a coloring portion on the printing surface, at the time when printing first information to be recorded is used.

Abstract: An apparatus for diluting a solution comprises a preparation vessel for mixing a solution with a diluent to dilute the solution, a solution supply unit, a diluent supply unit, and a controller. The controller controls the solution supply unit and the diluent supply units to supply the solution and diluent into the preparation vessel in such quantity that the concentration of the diluted solution is higher than a desired concentration. The controller also calculates an additional quantity of the diluent necessary for diluting the solution in the preparation vessel to the desired concentration based on a difference between the concentration of the solution in the preparation vessel and the desired concentration, and controls the diluent supply unit to add the diluent into the preparation vessel in smaller quantity than the calculated additional quantity and repeats the calculation and addition until the solution concentration in the preparation vessel reaches the desired concentration.

Abstract: A method of preparing a composite aluminum material to be formed integrally by bonding aluminum or aluminum alloy to an aluminum or aluminum alloy member which is formed in advance in a specified shape by the method of internal chill, etc. The method comprises the steps of forming a chemical conversion coating of pentafluoroaluminate (K.sub.2 AlF.sub.5) by bringing a solution containing potassium ions and fluorine ions in contact with the surface of the aluminum member.