少子高齢化に伴い、安全安心につながる社会課題の一つとして、独居老人や遠隔地の一人暮らしなどの見守りネットワークの充実が挙げられる。本研究では、在宅時の室内照明の有無から推定する在宅時の活動見守りシステムについて基礎検討する。IoTのセンサノードに照度センサのみを用いて、見守れる側の気疲れを低減し、プライバシーを侵害しにくくする。基礎データとして得られた在宅時と不在時の照度データを元に在宅時の推定方法や適切なセンサノードの設置個所について述べる。

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少子高齢化に伴い、安全安心につながる社会課題の一つとして、独居老人や遠隔地の一人暮らしなどの見守りネットワークの充実が挙げられる。本研究では、在宅時の活動見守りシステムとして、在宅時の室内照明の計測ログからその活動を推定する。IoTのセンサノードに照度センサのみを用いて、見守れる側の気疲れを低減し、プライバシーを侵害しにくくする。年間を通じて計測したIoTセンサノードの照度データから在宅時と不在時を推定する。提案する活動見守りシステムの有効性と課題についてついて述べる。

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Two experiments investigated whether low- and intermediate-level Japanese EFL learners can successfully construct syntactic and semantic structures after listening to and reading object relative clauses (ORCs) and passives. Experiment 1 investigated whether 120 learners utilize animacy when comprehending ORCs. After listening to or reading sentences, including 20 stimuli with the manipulation of animate or inanimate sentential subjects, the participants answered comprehension questions. The results showed that 70 low-level participants achieved only 50% accuracy for animate noun questions but a higher rate for inanimate ones, possibly guided by their world knowledge, thus illustrating the participants’ lack of ability in constructing syntactic structures. To clarify whether they constructed syntactic structures online, Experiment 2 utilized a passive/active sentence–picture verification task with the manipulation of animacy for two nouns. After listening to or reading 12 stimuli and 48 fillers, 48 participants performed correctness judgments by matching pictures. The accuracy rates and response times were compared to examine the influence of animacy, syntax, proficiency, and modality. The low-level participants, who were poorer at listening than reading, showed a lower accuracy rate for animate than inanimate passives and a slower latency for animate than inanimate actives, which revealed their difficulty in constructing syntactic structures.

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This paper develops a basic tessellation model based on the overlapping calculation of simple Voronoi diagrams to estimate the distance decay pattern of number of users in a spatial demand structure for regional facilities with capacity. Distance decay of facilities with a certain capacity was analyzed using a computer simulation, and a new tessellation model was derived in relation to the intersections of the Voronoi regions of neighboring facilities. First, a Monte Carlo simulation was conducted based on the assumptions involved in the intervening opportunities model. The result reveals that the curve of distance decay consists of a high-density area in a region proximal to the facilities, a uniform intermediate-density area within the Voronoi region, and an area of exponential decline outside this region. Second, we formulated a theoretical model of the resulting distance decay. This tessellation model gives a theoretical distance-decay function which shows a good fit to the results of the simulation.

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