Abstract: A processing device that causes a virtual-space image to be displayed on a display device mounted on a player's head is provided with a first display processor and a second display processor. The first display processor causes first external information input from outside to be displayed on a specified object included in the virtual-space image when the virtual-space image is being caused to be displayed by the HMD. The second display processor causes second external information that is second external information input from outside and includes a real-space image to be displayed along with the virtual-space image when the virtual-space image is caused to be displayed by the HMD. The virtual-space image is, for example, the virtual-space image of a game, and the real-space image is, for example, an image imaged by an imaging device installed in the surroundings of the player.

Abstract: A classifying device that classifies aggregates and includes: a plurality of metallic porous membranes respectively including: a membrane section including a first principal surface, a second principal surface, and a plurality of through-holes. Among each of the plurality of metallic porous membranes, the through-holes have mutually different dimensions, and some of the plurality of through-holes in at least a first of the plurality of metallic porous membranes are configured to have different dimensions sufficient to release pressure applied to the first of the plurality of metallic porous membranes without degrading classification accuracy of the first of the plurality of metallic porous membranes. The plurality of metallic porous membranes are arranged in series from an upstream side of a flow path through which a liquid containing the aggregates flows in a descending order of the different dimensions of the through-holes of the plurality of metallic porous membranes.

Abstract: In a noise removing apparatus, a data acquisition unit acquires sets of odor data measured using a sensor with respect to a plurality of objects, each set of odor data representing features of an odor of an object by respective rates of a plurality of odor molecules. A noise component extraction unit extract a noise component using a set of odor data. A noise removing unit removes the noise component from each set of odor data to be processed.

Abstract: An information processing device is configured to include an acquisition unit, a determination unit, an instruction unit, an instruction unit, and output unit. The acquisition unit is configured to acquire measurement target and measurement environment information, and measurement environment information that a measurer can measure with an odor sensor. The determination unit is configured to determine a measurement target that the measurer should be instructed to measure, based on the measurement target and measurement environment information and the measurement environment information that can be measured, the instruction is configured to instruct the measurer to measure the determined measurement target. The output unit configured to output a reward to the measurer after the acquisition means acquires odor data of the determined measurement target.

Abstract: In a data generation apparatus, an acquisition unit acquires original data which are odor data measured in a specific environment. A generation unit performs a linear transformation with respect to the original data, and generates augmented data which are odor data in an environment where temperature and humidity are different from those in the specific environment.

Abstract: In a noise removing apparatus, a data acquisition unit acquires sets of odor data measured using a sensor with respect to a plurality of objects, each set of odor data representing features of an odor of an object by respective rates of a plurality of odor molecules. A noise component extraction unit extract a noise component using a set of odor data. A noise removing unit removes the noise component from each set of odor data to be processed.

Abstract: A server apparatus 10 is communicably connected to a terminal apparatus 20 that collects sensor data from an odor sensor 40. The server apparatus 10 includes an analyzer holding unit 11 that holds a plurality of analyzers for analyzing specific odor analysis targets, based on sensor data, an analyzer management unit 12 that determines preprocessing to be performed on the sensor data, by selecting an analyzer according to the environment of the odor sensor 40, and causes the terminal apparatus 20 to execute the preprocessing, an analysis execution unit 13 that executes analysis processing of the designated odor analysis target, by applying the selected analyzer to the preprocessed sensor data, and an analysis result transmission unit 14 that transmits information indicating a result of the analysis processing to the terminal apparatus 20.

Abstract: A training data generation device includes a label candidate generation unit, a reception unit, and a training data generation uni. The acquisition unit is configured to acquire smell data and information pertaining to the smell data. The label candidate generation unit which generates label candidates on the basis of the information pertaining to the smell data; an output unit which outputs the generated label candidates. The reception unit is configured to receive selection of a label from the output label candidates. The training data generation unit which generates training data from the selected label and the smell data.

Abstract: A liquid cell culture medium collecting filter unit includes a porous metal membrane that filters out cells in a liquid cell culture medium, a support that holds a peripheral portion of the porous metal membrane. and a tubular member that has a hollow part serving a flow path for a liquid cell culture medium. The tubular member is connected to the support such that the flow path faces at least part of a main surface of the porous metal membrane.

Abstract: A concentration apparatus that includes a liquid tank storing a liquid containing a filtration object, a tubular member having first and second end portions disposed in the liquid tank and forming a first circulation flow path therebetween, a circulation pump for supplying the liquid stored in the liquid tank to flow from the first end portion to the second end portion, a filtration filter disposed in a sidewall of the tubular member, a bypass pipe having first and second ends thereof connected to sidewalls of the tubular member so as to form a second circulation flow path between the first and second end portions of the tubular member, a switching valve constructed to cause the liquid to flow in one of the first or second circulation flow paths, and a control unit controlling driving of the circulation pump and a switching operation of the switching valve.

Abstract: A filtration method for filtration of nucleated cells that includes providing a filter containing at least one of a metal and a metal oxide as a major component thereof and having a plurality of through-holes therein, and passing a liquid containing the nucleated cells through the filter. The diameter of an inscribed circle of each of the plurality of through-holes is smaller than the size of the nuclei of the nucleated cells, and the inscribed circle of each of the plurality of through-holes touches all sides defining an opening of the through-hole.

Abstract: A learning apparatus acquires learning data in which odor data of each object and a label representing the object in a label space expressing features of odors are associated with each other, and learns, based on odor data, a model for predicting a label of the odor data in the label space, by using the learning data. In a data processing apparatus for processing odor data, an acquisition unit acquires odor data from an outside. A prediction unit predicts a label of the acquired odor data in the label space by using the model in which a relationship between sets of odor data and labels in the label space expressing the features of the odors is learned.

Abstract: To mitigate degradation in the accuracy of a prediction model by re-learning the prediction model with consideration given to the characteristics of a detection value of a sensor. This prediction model re-learning device comprises: a calculation unit that, on the basis of data related to smell detection by a sensor, calculates an index for determining whether or not to re-learn a prediction model for smell; and a re-learning unit that re-learns the prediction model in cases where the calculated index satisfies a predetermined condition.

Abstract: A customer service assistance apparatus 10 is provided with a video image acquisition unit 11 that acquires a video image of the inside of a store, a specifying unit 12 that specifies a product that a customer in the store is interested in and attributes of the customer based on the acquired video image, an information acquisition unit 13 that searches a specific database using the specified product and attributes as queries, and acquires content corresponding to the product and attributes that serve as queries, and the transmission unit 14 that transmits the acquired content to a terminal apparatus that is used by a store salesperson of the store.

Abstract: A selection unit (11) in a learning device (10) inputs a plurality of “learning candidate data units.” The plurality of learning candidate data units are respectively related to a plurality of subjects including a plurality of cancer patients and a plurality of non-cancer patients. Further, each learning candidate data unit at least includes a “urine odor data unit” and a “cancer label.” Then, from the plurality of input learning candidate data units, the selection unit (11) selects part of the plurality of learning candidate data units as a “learning target data set,” based on a “selection rule.” By using the learning target data set selected by the selection unit (11), a determination model formation unit (12) forms a “determination model” for determining which of urine of a cancer patient and urine of a non-cancer patient a determination target urine odor data unit is related to.

Abstract: A server apparatus 10 is communicably connected to a terminal apparatus 20 that collects sensor data from an odor sensor 40. The server apparatus 10 includes an analyzer holding unit 11 that holds a plurality of analyzers for analyzing specific odor analysis targets, based on sensor data, an analyzer management unit 12 that selects an analyzer, determines preprocessing to be performed on the sensor data, according to the selected analyzer, and causes the terminal apparatus 20 to execute the preprocessing, an analysis execution unit 13 that executes analysis processing of the designated odor analysis target, by applying the selected analyzer to the preprocessed sensor data from the terminal apparatus, and an analysis result transmission unit 14 that transmits information indicating a result of the analysis processing to the terminal apparatus 20.

Abstract: A terminal apparatus 20 includes a sensor data collection unit 21 that collects sensor data from an odor sensor 40 that outputs the sensor data in reaction to a plurality of types of odors, an analyzer acquisition unit 22 that, in the case where an analyzer capable of analyzing a designated odor analysis target is transmitted thereto from a server apparatus 10 that holds a plurality of analyzers for analyzing odor analysis targets by analyzing the sensor data, acquires the analyzer transmitted thereto, an analysis execution unit 23 that executes analysis processing of the designated odor analysis target, by applying the acquired analyzer to the collected sensor data, and an analysis result holding unit 24 that holds information indicating a result of the analysis processing.

Abstract: A liquid cell culture medium collecting filter unit includes a porous metal membrane that filters out cells in a liquid cell culture medium, a support that holds a peripheral portion of the porous metal membrane. and a tubular member that has a hollow part serving a flow path for a liquid cell culture medium. The tubular member is connected to the support such that the flow path faces at least part of a main surface of the porous metal membrane.

Abstract: A customer service assistance apparatus 10 is provided with a video image acquisition unit 11 that acquires a video image of the inside of a store, a specifying unit 12 that specifies a product that a customer in the store is interested in and attributes of the customer based on the acquired video image, an information acquisition unit 13 that acquires information indicating need of the product for the customer, based on the specified product and attributes, and a transmission unit 14 that transmits the acquired content to a terminal apparatus that is used by a store salesperson of the store.

Abstract: A liquid cell culture medium collecting filter unit includes a porous metal membrane that filters out cells in a liquid cell culture medium, a support that holds a peripheral portion of the porous metal membrane. and a tubular member that has a hollow part serving a flow path for a liquid cell culture medium. The tubular member is connected to the support such that the flow path faces at least part of a main surface of the porous metal membrane.