Abstract: According to one embodiment, a measurement unit periodically measures a usage status of a measurement target, and measures each test item of the measurement target at an arbitrary timing according to a test schedule. A first storage unit stores the usage status and a test result in time series. A second storage unit stores statistic information representing a relationship between the usage status and the test result. A probability calculation unit calculates a first evaluation value representing a load of the measurement target at a recent timing and a second evaluation value representing a load of the measurement target at the arbitrary timing, based on the usage status, and calculates a specific probability of each test item, based on the statistic information, the first evaluation value and the second evaluation value. A test schedule creation unit creates a new test schedule having selected test items, based on the specific probability.

Abstract: According to one embodiment, an evaluating apparatus includes an operation data storage unit, a labeling unit, a learning unit, and an evaluating unit. The labeling unit applies a failure label, indicating that a product is broken down, to operation data of the product that is broken down within a designated period of time from the observation date of the operation data, while applies a non-failure label, indicating that the product is not broken down, to the operation data of the product that is not broken down within a designated period of time from the observation date of the operation data. The labeling unit applies neither the failure label nor the non-failure label to the operation data of the product, which is not certain that it is broken down or not within a designated period of time from the observation date of the operation data.

Abstract: There is provided with a method, including: optimizing a first objective function defined by using an explanatory variable belonging an attribute in each sample, a target variable in each sample, and a first conversion parameter to find a value of the first conversion parameter; generating by using the first conversion parameter corresponding to the attribute a conversion function for converting an explanatory variable belonging to the attribute to an intermediate variable with certain range; optimizing a second objective function defined by using a plurality of the intermediate variables corresponding to the plurality of variables in each sample, the target variable in each sample, and a second conversion parameter to find a value of the second conversion parameter; and generating by using the second conversion parameter a probabilistic model for calculating from a plurality of intermediate variables a probability that a predetermined event occurs or does not occur.

Abstract: A user evaluation apparatus includes a parameter determination module which determines parameters of a user evaluation model required to calculate a degree of usage influence so as to maximize a target function. The target function may be defined using weight values, measurement data, and a failure information counting result. The apparatus also includes a user evaluation module which calculates and displays the degree of usage influence using the measurement data and the parameters of the user evaluation model.

Abstract: A first module calculates a failure occurrence risk index of each data storage area address. A second module calculates a power saving index of each data storage area address. A third module calculates an access speed index per unit data volume necessary to access each data storage area address. A fourth module generates a distribution table that represents the failure occurrence risk index, the power saving index, and the access speed index for each candidate address, with respect to data to be distributed. A fifth module selects a candidate address in the distribution table such that the power saving index and the access speed index meet restricting conditions and the failure occurrence risk index is minimized, and distributes the data to the candidate address.

Abstract: A host apparatus of a financial auction system is disposed in a site that is accessible from user terminal apparatuses through the transmission line of a network. The host apparatus has a borrowing agent serving as the window for a potential borrower, a lending agent serving as the window for a potential lender, a screening section for extracting a potential lending offer matching a predetermined condition, a matchmaking section for selecting a successful bid from potential lending offers, and an information collection section for collecting background information of a potential borrowing request. A database is attached to the host apparatus, where a borrowing request file, lending offer file, and background information file are formed.

Abstract: An incident/accident report analysis apparatus is disclosed. An input unit inputs an incident/accident report containing a crisis rate and an severity of an incident/accident. A probability value corresponding to the crisis rate and a loss amount corresponding to the severity is recorded in a data table. A parameter storage unit stores an N value indicating the number of times a failure occurs and an ? value indicating a risk tolerance parameter. A risk calculation unit calculates a incident risk including the loss amount occurring with the probability of ?% upon repetition of the same failure N times, using the probability value corresponding to the crisis rate and the loss amount corresponding to the severity.

Abstract: A medical image retrieval system includes an image database which stores medical images. An interpretation unit acquires a currently diagnosed image for use in performing interpretation of one of the medical images and provides the currently diagnosed image to a computer terminal. An image requesting unit issues an image request associated with the currently diagnosed image. An image retrieval unit retrieves a reference image from the image database in accordance with the image request and provides the reference image to the computer terminal in order to propose the reference image as references for diagnosis. An evaluation input unit prompts to input an evaluation indicating whether the reference image has been helpful for diagnosis based on the currently diagnosed image.

Abstract: According to an aspect of the present invention, there is provided with a work assisting method, including: providing an information storage which stores a plurality of process maps that define constraint on order of carrying out tasks in a work process, task check information that represent check items for the tasks in each process map, and task time information that represent required times for the tasks in each process map; inputting execution instruction information that instructs execution of a work; detecting a process map that matches to a work indicated in the execution instruction information; collecting check information that is necessary for checking check items associated with tasks in detected process map; checking the check items to detect a task error; and notifying information that represents content of detected task error.

Abstract: There is provided with a method, including: optimizing a first objective function defined by using an explanatory variable belonging an attribute in each sample, a target variable in each sample, and a first conversion parameter to find a value of the first conversion parameter; generating by using the first conversion parameter corresponding to the attribute a conversion function for converting an explanatory variable belonging to the attribute to an intermediate variable with certain range; optimizing a second objective function defined by using a plurality of the intermediate variables corresponding to the plurality of variables in each sample, the target variable in each sample, and a second conversion parameter to find a value of the second conversion parameter; and generating by using the second conversion parameter a probabilistic model for calculating from a plurality of intermediate variables a probability that a predetermined event occurs or does not occur.

Abstract: A monitoring method includes acquiring tag identification information unique to a radio frequency identification tag carried by a person, and reader identification information about a tag reader that detects the radio frequency identification tag. Next, attribute information about the person is acquired based on the tag identification information, and area information about a detection area of the tag reader is acquired based on the reader identification information. Finally, it is determined whether the person carrying the radio frequency identification tag having the attribute information acquired is allowed to enter into the detection area based on the area information.

Abstract: An apparatus of quantifying operational risk includes a transaction amount input unit to input a transaction amount, a loss rate density input unit to input a loss rate density corresponding to a probability density when setting a loss rate in a loss event to a random variable, a massive loss density calculating unit to calculate a massive loss density of the loss rate density, which corresponds to an loss amount not less than a threshold, based on the transaction amount and the loss rate density, and a risk measure calculating unit configured to calculate operational risk from the massive loss density.

Abstract: A behavior of a group of persons is monitored. Each person is given a radio frequency identification tag. Tag identification information that is unique to the radio frequency identification tag, and reader identification information that is unique to a tag reader, which detects the radio frequency identification tag, are acquired. A position of each of the persons in the group is detected based on the tag identification information and the reader identification information. A position of majority of the persons in the group is regarded as the position of the group. If the position of a person is different from the position of the group, then that person is determined as having parted from the group.

Abstract: A behavior of a group of persons is monitored. Each person is given a radio frequency identification tag. Tag identification information that is unique to the radio frequency identification tag, and reader identification information that is unique to a tag reader, which detects the radio frequency identification tag, are acquired. A position of each of the persons in the group is detected based on the tag identification information and the reader identification information. A position of majority of the persons in the group is regarded as the position of the group. If the position of a person is different from the position of the group, then that person is determined as having parted from the group.

Abstract: A monitoring method includes acquiring tag identification information unique to a radio frequency identification tag carried by a person, and reader identification information about a tag reader that detects the radio frequency identification tag. Next, attribute information about the person is acquired based on the tag identification information, and area information about a detection area of the tag reader is acquired based on the reader identification information. Finally, it is determined whether the person carrying the radio frequency identification tag having the attribute information acquired is allowed to enter into the detection area based on the area information.

Abstract: A host apparatus of a financial auction system is disposed in a site that is accessible from user terminal apparatuses through the transmission line of a network. The host apparatus has a borrowing agent serving as the window for a potential borrower, a lending agent serving as the window for a potential lender, a screening section for extracting a potential lending offer matching a predetermined condition, a matchmaking section for selecting a successful bid from potential lending offers, and an information collection section for collecting background information of a potential borrowing request. A database is attached to the host apparatus, where a borrowing request file, lending offer file, and background information file are formed.

Abstract: In a wire length minimization apparatus for moving an object and a wire in a wiring pattern formed by connecting objects with wires, in accordance with a load representing a performance of wire length minimization considering a priority set for each wire, thereby minimizing a length of the wire, a tree having, as nodes, a plurality of objects having a predetermined positional relationship are formed, a load of a parent node with respect to a child node is calculated sequentially from a leaf of the tree based on a load of the child node, and an object and a wire corresponding to a tree portion having a root node with a load satisfying a predetermined condition is satisfied as an object to be moved. With this arrangement, movement of the objects and wires can be executed to efficiently and effectively reduce the cost of the wires.

Abstract: It is an object of this invention is to provide a constraint condition evaluation method and a constraint condition evaluation system which detect PCs speedily in a constraint graph in a large system. To achieve this object, the system has the disassembling means (3) which disassembles a constraint graph, representing the constraints in the layout of components, into a plurality of subgraphs according to a specific division method while retaining the cycles in the constraint graph, the back edge detecting means (4) which detects back edges in each subgraph, and the PC detecting means (5) which detects PCs associated with the back edge in each subgraph. The system disassembles a constraint graph into smaller subgraphs to prevent the processing time increase rate from increasing, and reduces the PC detection time.