Abstract: A non-transitory computer-readable storage medium storing a navigation monitoring program that causes at least one computer to execute a process, the process includes acquiring direction information that indicates a direction of a vessel and position information that indicates a position of the vessel; and predicting whether or not the vessel navigates along a course by inputting the acquired direction information and the acquired position information to a prediction model generated by machine learning by using direction information and position information for each of a plurality of vessels that has navigated in the past and a correct answer label that indicates whether or not each of the plurality of vessels navigates along a course.

Abstract: A method for calculating a dangerous spot and time for a computer to execute a process includes, detecting, by at least two mobile bodies, an avoidance action, which is an action that indicates a possibility that each mobile body has avoided a collision with another mobile body, based on locus data of a plurality of mobile bodies that belongs to a predetermined area; calculating an evaluation value that indicates a possibility that an avoidance action by one of the two mobile bodies has occurred under an influence of an avoidance action by another one; and calculating, based on the evaluation value, a collision risk in an area where a plurality of mobile bodies is concentrated.

Abstract: A non-transitory computer-readable storage medium storing a navigation monitoring program that causes at least one computer to execute a process, the process includes acquiring direction information that indicates a direction of a vessel and position information that indicates a position of the vessel; and predicting whether or not the vessel navigates along a course by inputting the acquired direction information and the acquired position information to a prediction model generated by machine learning by using direction information and position information for each of a plurality of vessels that has navigated in the past and a correct answer label that indicates whether or not each of the plurality of vessels navigates along a course.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process includes acquiring first sound data collected by a first microphone and second sound data collected by a second microphone during traveling of a vehicle in which the first microphone is provided in vicinity of a front wheel and the second microphone is provided in vicinity of a rear wheel; and detecting a cavity under a road surface where the vehicle has traveled based on a difference between the acquired first sound data and the acquired second sound data.

Abstract: A method for a collision risk calculation includes: executing acquisition processing that includes acquiring travel information regarding a position and velocity of each of a first vessel and a second vessel; executing region calculation processing that includes calculating a region having a possibility of future collision between the first vessel and the second vessel from the travel information of each of the first vessel and the second vessel; and executing first risk calculation processing that includes calculating a first risk value based on a maneuvering amount used by the first vessel or the second vessel in order to avoid the region.

Abstract: A method includes: extracting Time to Closest Point of Approach included in a predetermined time from “risk value information” that stores a “Closest Point of Approach”, the “Time to Closest Point of Approach” and a “risk value” for “a first vessel and a second vessel”, the risk value being a value indicating a possibility of collision between the first vessel and the second vessel at the Closest Point of Approach and the Time to Closest Point of Approach; acquiring the Closest. Point of Approach and the risk value corresponding to the extracted Time to Closest Point of Approach from the risk value information; determining to which sea area the acquired Closest. Point of Approach belongs to; and executing calculation processing that includes calculating a sum of risk values corresponding to the Closest Point of Approach for each of sea areas to which the determined Closest Point of Approach belongs.

Abstract: A method for calculating a dangerous spot and time for a computer to execute a process includes, detecting, by at least two mobile bodies, an avoidance action, which is an action that indicates a possibility that each mobile body has avoided a collision with another mobile body, based on locus data of a plurality of mobile bodies that belongs to a predetermined area; calculating an evaluation value that indicates a possibility that an avoidance action by one of the two mobile bodies has occurred under an influence of an avoidance action by another one; and calculating, based on the evaluation value, a collision risk in an area where a plurality of mobile bodies is concentrated.

Abstract: A collision risk calculation method for a computer to execute a process includes, calculating, by using track data of each of a first vessel and a second vessel, a risk value related to a collision between the first vessel and the second vessel at each time point by a certain method; specifying a time range before the risk value becomes a maximum risk value; extracting, from the track data, an action pattern of one or both of the first vessel and the second vessel in the time range; calculating a degree of the action pattern of one or both of the first vessel and the second vessel on the basis of the action pattern; and correcting the risk value based on the degree of the action pattern and a weight set for each action pattern.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process includes acquiring first sound data collected by a first microphone and second sound data collected by a second microphone during traveling of a vehicle in which the first microphone is provided in vicinity of a front wheel and the second microphone is provided in vicinity of a rear wheel; and detecting a cavity under a road surface where the vehicle has traveled based on a difference between the acquired first sound data and the acquired second sound data.

Abstract: A method includes: extracting Time to Closest Point of Approach included in a predetermined time from “risk value information” that stores a “Closest Point of Approach”, the “Time to Closest Point of Approach” and a “risk value” for “a first vessel and a second vessel”, the risk value being a value indicating a possibility of collision between the first vessel and the second vessel at the Closest Point of Approach and the Time to Closest Point of Approach; acquiring the Closest. Point of Approach and the risk value corresponding to the extracted Time to Closest Point of Approach from the risk value information; determining to which sea area the acquired Closest. Point of Approach belongs to; and executing calculation processing that includes calculating a sum of risk values corresponding to the Closest Point of Approach for each of sea areas to which the determined Closest Point of Approach belongs.

Abstract: A method for a collision risk calculation includes: executing acquisition processing that includes acquiring travel information regarding a position and velocity of each of a first vessel and a second vessel; executing region calculation processing that includes calculating a region having a possibility of future collision between the first vessel and the second vessel from the travel information of each of the first vessel and the second vessel; and executing first risk calculation processing that includes calculating a first risk value based on a maneuvering amount used by the first vessel or the second vessel in order to avoid the region.

Abstract: The metal oxide particle dispersion for manufacturing a particulate magnetic recording medium contains metal oxide particles, solvent, and a polyester compound having one or more groups selected from the group consisting of a carboxyl group and a salt thereof, a phosphoric acid group and a salt thereof, a hydroxyl group and a nitrogen-substituted alkylene group, but substantially not containing ferromagnetic powder.

Abstract: A learning apparatus includes a processor configured to extract an item commonly included in documents of events regarding a specific target. Each of the documents includes a common phenomenon, a common cause, and items regarding the specific target. The processor is configured to rank the documents based on an appearance frequency of the extracted item. The processor is configured to assign a label of a positive example or a negative example to each of the documents based on a result of the ranking. The processor is configured to learn a model for determining whether a specific document is a positive example or a negative example using the documents and the label assigned to each of the documents. The specific document is a document of an event regarding the specific target and includes the common phenomenon, the common cause, and items regarding the specific target.

Abstract: A computer-readable recording medium has stored therein a program that causes a computer to execute a process including: learning, for multiple forecasting models that perform demand forecasting based on sales performance data, multiple error forecasting models that estimate forecasting errors of the respective forecasting models based on product information and a result of forecasts by the respective forecasting models based on sales performance data on a first period; generating weight information on the multiple forecasting models from forecasting errors of multiple forecasted values by the multiple forecasting models, which are forecasting errors generated using the multiple error forecasting models and based on the sales performance data on a second period, which is a period after the first period, and the product information; and performing demand forecasting based on the result of forecasts by the multiple forecasting models that are combined according to the weight information.

Abstract: A non-transitory computer-readable recording medium stores a ship track data display program that causes a computer to execute a process including: first extracting particular ship track data for a set of particular ships with a relative distance therebetween being within a predetermined range, from ship track data for a plurality of ships; second extracting a place where a distance between ship tracks thereof is at a local minimum, from the particular ship track data; and associatively displaying, for the place, point data of a ship that previously arrives at the place, in the set of particular ships, and point data of another ship at a point of time when the ship that previously arrives at the place arrives at the place.

Abstract: A planning method for planning to order a product, the planning method being executed by a computer, the planning method includes: generating a predicted value of a demand of the product at each plurality of prices based on a selling price and a number of sales in association with each other for each past sale date; calculating an order quantity that yields a highest profit, for each of the plurality of prices, using the predicted value of the demand of the product at the plurality of prices; storing, for the plurality of prices, the calculated order quantity and a profit in association with each other into a memory; and identifying a combination of a price and an order quantity that yields the highest profit, with reference to the memory.

Abstract: A xanthine oxidase inhibitor and a uric acid-producing inhibitor, each containing an extract from at least one member selected from the group consisting of Zanthoxylum bungeanum, Sorghum nervosum, Cuminum cyminum, Rosa centifolia, Pimenta officinalis, Origanum majorana, Psidium guajava, Pimpinella anisum, Olea europaea, Illicium verum, Canavalia gladiata, Hyssopus officinalis, Ribes nigrum, Vaccinium myrtillus, Artemisia princeps and Haematoxylon campechianum L.

Abstract: A non-transitory computer-readable recording medium stores a ship track data display program that causes a computer to execute a process including: first extracting particular ship track data for a set of particular ships with a relative distance therebetween being within a predetermined range, from ship track data for a plurality of ships; second extracting a place where a distance between ship tracks thereof is at a local minimum, from the particular ship track data; and associatively displaying, for the place, point data of a ship that previously arrives at the place, in the set of particular ships, and point data of another ship at a point of time when the ship that previously arrives at the place arrives at the place.

Abstract: The metal oxide particle dispersion for manufacturing a particulate magnetic recording medium contains metal oxide particles, solvent, and a polyester compound having one or more groups selected from the group consisting of a carboxyl group and a salt thereof, a phosphoric acid group and a salt thereof, a hydroxyl group and a nitrogen-substituted alkylene group, but substantially not containing ferromagnetic powder.

Abstract: A plan determination method of which process is executed by a computer, the process includes receiving lead time for each raw material for a product, the lead time being indicative of time interval between a time at which an order of the each raw material is ordered and a time of arrival of the each raw material; and calculating an order quantity of the each raw material and a production quantity of the product which cause a cost relating to manufacturing of the product to be minimized, by using the received lead time for the each raw material and a predicted demand quantity of the product.