著者

濱嵜 孝弘 鮫島 良次 根本 学 熊谷 悦史 大野 宏之 脇山 恭行 丸山 篤志 小沢 聖 後藤 慎吉

出版者

養賢堂

巻号頁・発行日

vol.88, no.10, pp.1013-1018, 2013 (Released:2014-04-25)

著者

大野 宏之 佐々木 華織 大原 源二 中園 江

出版者

The Society of Agricultural Meteorology of Japan

雑誌

生物と気象 (ISSN:13465368)

巻号頁・発行日

vol.16, pp.71-79, 2016 (Released:2016-03-01)

参考文献数

13

被引用文献数

12 130

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We developed a method for determining nationwide 1 km-grid square values of daily mean, maximum and minimum air temperature, and daily precipitation in Japan. The data were obtained using the JMA's nationwide observations, numerical forecasts, and climatic normal values. RMSE values for these elements in the past were 0.66 °C, 0.98 °C, 1.10 °C, and 5.9 mm/day, while those for one-day future were 1.18 °C, 1.65 °C, 2.00 °C, and 11.0 mm/day, respectively. The improvement in accuracy by introducing the forecasts was recognized even for values six-day future, though errors tended to increase with forecast range. The data are intended for use in the management of currently growing crops with a combination of crop models.

著者

大野 宏 Hiroshi Ohno

出版者

電気通信大学

巻号頁・発行日

2009-03-24

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2008

著者

大野 宏明 井上 桂子

雑誌

作業療法 = The Journal of Japanese Occupational Therapy Association (ISSN:02894920)

巻号頁・発行日

vol.29, no.1, pp.47-59, 2010-02-15

著者

富岡 直美 田中 智子 大野 宏之

出版者

日本教育工学会

雑誌

日本教育工学会論文誌 (ISSN:13498290)

巻号頁・発行日

pp.44066, (Released:2020-12-22)

参考文献数

21

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本研究は,USRへの意識を醸成するためにFD・SDで実施した教職協働初任者研修の実践とその評価を行うことを目的としている.研修は,大学の社会的価値を向上させる方法について初任教職員がディスカッションする形式で2019年2月に実施した.ルーブリック,アンケート,感想の記述を分析した結果,次の2点の成果が見られた.第1に,USRをベースとした研修内容により参加者が大学での仕事に社会的な価値を見出すことができたことである.このことは,「教職員のUSRへの意識を醸成することは,仕事の価値を感じることにつながる」という本研究の仮説を支持している.第2に,教職協働で多様な価値観を持つ人々と対話する研修方法により,参加者の視野を広げる機会となったことである.併せて,研修が初任者同士の感情の共有や情報交換の場としても機能したことも示唆された.

著者

大野 宏 Hiroshi Ohno

出版者

電気通信大学

巻号頁・発行日

2009-03-24

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Although the number of crimes in Japan has decreased since 2003, it is over2,000,000 per year now. In the U.S. and Europe, theoretical studies mainly fromthe aspect of crime-prevention have been proceeding. For example, the crimeprevention through environmental design (CPTED)theory, the crime opportunitytheory, the broken windows theory and other theories were published.On the other hand, security companies have promoted research anddevelopment of alarm systems including various sensors in order to detect anintruder into an office or home. However crime cannot be absolutely avoided inadvance even now.In this paper, shoplifters’ behavior analysis and shoplifting detection are studied.First, reports published by public institutions are surveyed. Second,crime-prevention theories are studied. Third, retired policepersons andplain-clothes security agents against shoplifting were interviewed. Fourth, theexisting measures against shoplifting are surveyed, and their effects andproblems are showed.The existing measures against shoplifting face many problems, and a drasticsolution to shoplifting is required seriously. Therefore, the feasibility of thesystem which effectively identifies shoplifters by itself is studied in this paper.Specifically, the method for identifying shoplifters by using visitors’ behaviorhistories, sales records and camera images is formulated.The following two systems related to visitors’ behavior histories are studied inthis paper. 1) Image processing system using general-purpose cameras 2) IR sensor array systemThe system of 1) had been implemented in a real retail store for 6 months, andvisitors’ behavior histories were checked manually. As a result, the capture ratewas approximately 90 %. Using this system, residence time when purchasing orshoplifting has been measured.In case of 2), behavioral records are measured by the voltage data detected fromthe IR sensor array. The experiment shows that sensors should be fixed on aceiling by bus arrangement. Specifically, up to about 10 sensors can beconnected in a bus line, and the interval between sensors should beapproximately 50 cm.The technique to analyze all recorded image has been applied to the seriouscrime such as homicide. A result of research shows that the method formulatedin this paper is well practicable. If the method formulated here is used, it is mucheasier to check security camera images every day, and undiscovered shopliftingmay be founded. The time for checking security camera images is between 17minutes and 33 minutes per day on the assumption of the following conditions.1) Residence time when purchasing or shoplifting: 10 seconds2) Passing time in front of one commercial product: 1 second3) The number of visitors: 2,000 per dayUsing the method formulated here, employee pilferage which has been missedcan be detected by analyzing whole data recorded all through the day. If a facerecognition system is integrated to the method formulated here, a salesclerk canbe alerted that a shoplifter comes to the shop. Also, if the system detectingshoplifting by behavior pattern matching is put into practice in the future, it willbe possible to detect shoplifting without shoplifters’ criminal records.

著者

大野 宏

出版者

電気通信大学

巻号頁・発行日

2009

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Although the number of crimes in Japan has decreased since 2003, it is over2,000,000 per year now. In the U.S. and Europe, theoretical studies mainly fromthe aspect of crime-prevention have been proceeding. For example, the crimeprevention through environmental design (CPTED)theory, the crime opportunitytheory, the broken windows theory and other theories were published.On the other hand, security companies have promoted research anddevelopment of alarm systems including various sensors in order to detect anintruder into an office or home. However crime cannot be absolutely avoided inadvance even now.In this paper, shoplifters’ behavior analysis and shoplifting detection are studied.First, reports published by public institutions are surveyed. Second,crime-prevention theories are studied. Third, retired policepersons andplain-clothes security agents against shoplifting were interviewed. Fourth, theexisting measures against shoplifting are surveyed, and their effects andproblems are showed.The existing measures against shoplifting face many problems, and a drasticsolution to shoplifting is required seriously. Therefore, the feasibility of thesystem which effectively identifies shoplifters by itself is studied in this paper.Specifically, the method for identifying shoplifters by using visitors’ behaviorhistories, sales records and camera images is formulated.The following two systems related to visitors’ behavior histories are studied inthis paper. 1) Image processing system using general-purpose cameras 2) IR sensor array systemThe system of 1) had been implemented in a real retail store for 6 months, andvisitors’ behavior histories were checked manually. As a result, the capture ratewas approximately 90 %. Using this system, residence time when purchasing orshoplifting has been measured.In case of 2), behavioral records are measured by the voltage data detected fromthe IR sensor array. The experiment shows that sensors should be fixed on aceiling by bus arrangement. Specifically, up to about 10 sensors can beconnected in a bus line, and the interval between sensors should beapproximately 50 cm.The technique to analyze all recorded image has been applied to the seriouscrime such as homicide. A result of research shows that the method formulatedin this paper is well practicable. If the method formulated here is used, it is mucheasier to check security camera images every day, and undiscovered shopliftingmay be founded. The time for checking security camera images is between 17minutes and 33 minutes per day on the assumption of the following conditions.1) Residence time when purchasing or shoplifting: 10 seconds2) Passing time in front of one commercial product: 1 second3) The number of visitors: 2,000 per dayUsing the method formulated here, employee pilferage which has been missedcan be detected by analyzing whole data recorded all through the day. If a facerecognition system is integrated to the method formulated here, a salesclerk canbe alerted that a shoplifter comes to the shop. Also, if the system detectingshoplifting by behavior pattern matching is put into practice in the future, it willbe possible to detect shoplifting without shoplifters’ criminal records.

著者

小田 晃 大野 宏之 本郷 國男 小川 淳一 浅野 広樹

出版者

社団法人 砂防学会

雑誌

砂防学会誌 (ISSN:02868385)

巻号頁・発行日

vol.52, no.6, pp.32-37, 2000

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The hydraulic model experiment is used often to make the design of Sabo works. But reports to confirm the reliability of the hydraulic model experiment are not so much. Because the plan flood occurrence is rare in the field.<br>In this report, the hyetograph and the maximum rainfall in September 15-16, 1998 at Uono river were compared with the plan. And the peak discharge during this flood was guessed by the maximum rainfall and the catchment area around Uono river. Those were shown to almost equal the plan from this study.<br>The hyerograph was guessed from data of water level on Oogawara gaging station at the confluence of Daigenta river and Uono river during this flood. And the disaster occurrence time and location during this flood were compared with the experiment results under the same arrangement condition of Sabo facilities. The trend of those coincided with the experiment results.<br>We compared the flood scale and flood situation of field with the plan flood and the experiment results. Those in the field almost equaled the plan and the experiment. And it was shown that the hydraulic model experiment was useful to make the design of Sabo works from this report.

著者

大野 宏明 井上 桂子

雑誌

作業療法 = Japanese occupationai therapy researh : JOTR (ISSN:02894920)

巻号頁・発行日

vol.32, no.2, pp.186-193, 2013-04 (Released:2014-05-21)

著者

大野 宏之 横山 宏太郎 小南 靖弘 井上 聡 高見 晋一 WIESINGER Thomas

出版者

The Japanese Society of Snow and Ice

雑誌

雪氷 (ISSN:03731006)

巻号頁・発行日

vol.60, no.3, pp.225-231, 1998-05-15

被引用文献数

17 13

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気象庁で使用されているRT-1, RT-3, RT-4型の転倒桝降水量計について,固体降水に対する捕捉率を新潟県上越市において2寒候期にわたり観測した.捕捉率の計算に必要な真の降水量は,WMO「固体降水の比較観測に関する国際組織委員会」が定めた方法に準じて推定した.観測の結果,固体降水の捕捉率はいずれの降水量計でも風速が強いほど減少し,風速4mにおいては無風時の60%程度であった.減少の程度は,RT-3, RT-1, RT-4の順で大きかった.準器に着雪が発生するなど,国際組織委員会が定めた方法は,北陸地方の降雪の特性には必ずしも良く対応していない点があることが観察された.

著者

久保田 文子 稲森 豊 大野 宏司

出版者

一般社団法人情報処理学会

雑誌

情報処理学会研究報告数理モデル化と問題解決(MPS) (ISSN:09196072)

巻号頁・発行日

vol.2007, no.128, pp.219-222, 2007-12-21

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新車およびモデルチェンジ車販売台数分析のための、時系列推移・時系列要因モデルを提案する。時系列推移モデルとして、新製品の普及モデルである Bass モデルに、買替のための市場流入率を組み込んだモデルを構築した。また、時系列推移の要因を分析するために、時系列推移モデルパラメータを目的変数に、メーカや価格等の車の特性を説明変数として回帰分析した。2BOX コンパクト、3BOX ミディアム、3BOX ラージの実データを使った評価実験では、既存モデルと比べて台数時系列推移の推定精度が向上した。また、要因分析の結果、発売時に台数のピークがある歴史のある車種と、発売後に台数のピークがある新規の車種では、割安感等の一部の要因が逆向きの影響を与える傾向があることが示唆された。This paper proposes a new-model car demand model for time-series forecasting and factor analysis. The Bass model is extended with the introduction of market inflow ratio, which enables to represent the dynamic change of market size. The estimated parameter values of the model are analyzed with multivariate regression analysis in terms of the relation with the car characteristics. In the evaluation experiment using real sales data, the extended Bass model could improve the accuracy of estimation, and the regression analysis reveals that a part of factors, such as undervalued image, had an opposite influence on traditional cars and novelty cars.