Abstract: A RAID system to transfer data to and from host equipment includes a semiconductor storage unit, a semiconductor-memory selector, and a memory controller. The semiconductor storage unit includes two or more semiconductor memories, a mounting board, and solder joints. The semiconductor memories are mounted on the mounting board. The solder joints are between the semiconductor memories and the mounting board. The semiconductor-memory selector selects a combination of the semiconductor memories to dispersively record the data in the semiconductor storage unit. The memory controller accesses the combination in response to a request of the host equipment. In addition, the selector selects the combination so that mechanical loads received by the semiconductor memories are averaged.

Abstract: A cooling device including: a fan configured to rotate and produce airflow; a fan case accommodating the fan, the fan case having an outlet for discharging the airflow produced by the fan; a heat exchanger having an inlet disposed to oppose the outlet of the fan case, the inlet being configured to take in the airflow discharged from the outlet; a wire disposed between the heat exchanger and the fan case to stretch along an end face of the inlet of the heat exchanger, the wire having a first end being fixed to a fulcrum and a second end; and a wire driving mechanism configured to swing the wire about the fulcrum to scrape the end face of the inlet of the heat exchanger by the wire.

Abstract: According to one embodiment, each monitoring device acquires monitoring variables from an observation target, generates an individual multidimensional distribution of the monitoring variables, and transmits the individual multidimensional distribution to a server. The server generates sampling data using the individual multidimensional distribution received from each monitoring device, generates an overall multidimensional distribution of the monitoring variables using the sampling data, determines a statistical model of each index using the overall multidimensional distribution, generates an overall index multidimensional distribution of indexes using the statistical model and the overall multidimensional distribution, and transmits the overall index multidimensional distribution and statistical models to each monitoring device.

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 dummy junction which will break earlier than a target junction is arranged on a board. A history of load applied to the dummy junction until the dummy junction actually breaks is recorded, and an estimated lifetime of the target junction is calibrated when a lifetime of the dummy junction estimated by the history of the load is largely different from an actual lifetime of the dummy junction. The calibration is performed by subtracting a value of an unmeasurable load from the estimated lifetime of the target junction based on load ever applied to the target junction, and the unmeasurable load is calculated based on the difference of the actual lifetime and estimated lifetime of the dummy junction.

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 storage device includes: a printed circuit board; a semiconductor memory package mounted on the printed circuit board via solder joints, the semiconductor memory package incorporating semiconductor memories; a sensor configured to measure a physical quantity relating to a state of the storage device; a database including a damage estimation model base to be used for estimating damage of the solder joints from the physical quantity measured by the sensor; a damage estimating module configured to calculate a damage estimation value of the solder joints from the physical quantity using the damage estimation model base; and a controller configured to control writing, reading, and erasure of electronic data to or from the semiconductor memories based on the damage estimation values calculated by the damage estimating module.

Abstract: A damage index predicting system is for predicting a damage-related index of solder joints of an electronic device having the solder joints that electrically connect an electronic component to a mounting circuit board and one or more detection solder joints that are designed so as to have a shorter life than the solder joints. The system includes: a database configured to store a fracture relationship between the detection solder joints and the solder joints; a fracture detector configured to detect fracture of the detection solder joints; and a processor configured to calculate a prediction value of the damage-related index of the solder joints based on information relating to the fracture of the detection solder joints obtained by the fracture detector and the fracture relationship stored in the database.

Abstract: A device and method for providing a load calculating device is presented. In one embodiment, a load calculating device can include a variable acquiring unit configured to acquire monitoring variables. The monitoring variables can include in a detected value by a sensor monitoring a state of a circuit board and a performance characteristic obtained by a tool monitoring performance of the circuit board. The device can also store a first statistical model that is one of a regression model, an occurrence frequency distribution and a probability distribution; a second storage configured to store a second statistical model that is one of a regression model, an occurrence frequency distribution and a probability distribution. An arithmetic processor can then be used to calculate the intermediate variable from the monitoring variables according to the first statistical model and calculate the physical quantity from calculated intermediate variable according to the second statistical model.

Abstract: An electronic device includes a deviation value calculation unit which calculates a deviation value from the normal boundary of the relationship between a power index associated with the driving power and the measured rotational speed of the fan, a clogging detection unit which detects, based on the deviation value, clogging in an air duct through which the fan takes in air outside the case and sends it to the radiator, and a deviation value correction unit which corrects the deviation value in accordance with aging of performance of the fan to compensate for deterioration of the clogging detection capability of the clogging detection unit caused by the aging.

Abstract: A cooling device including: a fan configured to rotate and produce airflow; a fan case accommodating the fan, the fan case having an outlet for discharging the airflow produced by the fan; a heat exchanger having an inlet disposed to oppose the outlet of the fan case, the inlet being configured to take in the airflow discharged from the outlet; a wire disposed between the heat exchanger and the fan case to stretch along an end face of the inlet of the heat exchanger, the wire having a first end being fixed to a fulcrum and a second end; and a wire driving mechanism configured to swing the wire about the fulcrum to scrape the end face of the inlet of the heat exchanger by the wire.

Abstract: There is provided with a load calculating device including: a variable acquiring unit configured to acquire, as monitoring variables, a detected value by a sensor monitoring a state of a circuit board and a performance characteristic obtained by a tool monitoring performance of the circuit board; a first storage configured to store a first statistical model that is one of a regression model, an occurrence frequency distribution and a probability distribution; a second storage configured to store a second statistical model that is one of a regression model, an occurrence frequency distribution and a probability distribution; and an arithmetic processor configured to calculate the intermediate variable from the monitoring variables acquired by the variable acquiring unit according to the first statistical model and calculate the physical quantity from calculated intermediate variable according to the second statistical model.