Abstract: An advice generation apparatus includes: an information acquisition unit that acquires a first blood glucose level being a blood glucose level of a subject at a first timing, meal information relating to a meal to be ingested by the subject later than the first timing, and a reference range of the blood glucose level of the subject; a rule acquisition unit that acquires a blood glucose level estimation rule which is set for each subject and estimates, using the first blood glucose level and the meal information, a second blood glucose level being a blood glucose level at a second timing after ingesting the meal; a blood glucose level estimation unit that estimates the second blood glucose level using the first blood glucose level, the meal information, and the blood glucose level estimation rule; and an advice generation unit that generates advice information including advice relating to the meal.

Abstract: Provided is a work assistance device that enables the working time of a worker to be reduced in a reliable manner. A work assistance device according to one embodiment of the present invention is equipped with: a reading means and a projection control means. The reading means sequentially reads from a work storage means, in accordance with the order of the steps of work performed by a worker, a projection data set for each of the steps. The work storage means stores a work procedure wherein the projection data set is associated with the order of the steps, said projection data set including an indication display that includes a visually recognizable visual representation which indicates, for each of the steps, a location where the work for that step is performed and a member to be handled in the work for that step.

Abstract: Provided is a matching device capable of improving the accuracy of the degree of similarly in the calculation of the degree of similarly between data sets. Element selection unit selects elements corresponding to each other between a first vector including a plurality of elements determined based on first data and a second vector including a plurality of elements determined based on second data. Similarity degree calculation unit calculates a score of the degree of similarly between the first data and the second data from the elements selected from the first vector and the second vector. Score correction unit corrects the score calculated by the similarity degree calculation unit so that the increment of the score increases with the increase in the amount of data used for the calculation of the degree of similarly.

Abstract: The present invention estimates information indicating ripeness at harvest time at a stage after the harvest time. A harvest-time ripeness estimation device includes: a first optical data acquisition unit configured to acquire first optical data obtained by applying light of a first wavelength to a fruit or vegetable at a first time point after harvest time of the fruit or vegetable; a harvest-time ripeness correspondence information storage unit configured to store harvest-time ripeness correspondence information indicating correspondence relation between ripeness at the harvest time of the fruit or vegetable and a value of the first optical data with respect to the light of the first wavelength; and a harvest-time ripeness estimation unit configured to estimate the ripeness at the harvest time of the fruit or vegetable on the basis of the acquired first optical data and the harvest-time ripeness correspondence information.

Abstract: Provided is a matching device capable of improving the accuracy of the degree of similarly in the calculation of the degree of similarly between data sets. Element selection means 41 selects elements corresponding to each other between a first vector including a plurality of elements determined based on first data and a second vector including a plurality of elements determined based on second data. Similarity degree calculation means 42 calculates a score of the degree of similarly between the first data and the second data from the elements selected from the first vector and the second vector. Score correction means 43 corrects the score calculated by the similarity degree calculation means 42 so that the increment of the score increases with the increase in the amount of data used for the calculation of the degree of similarly.