Publishing type：Research paper (scientific journal)  

DOI： 10.3390/soc14070121

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Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

<p>In order to make a legal decision, identifying issues is important in judicial proceedings. However, it is sometimes very difficult to find the issues which should be in an argument because the way of their investigation and judgement process is different in each of the cases. To solve the problem, this study aims to clarify the concept of issue identification process support based on data and build a demo of the system. As a use-case, we employ child abuse cases for the system and deploy the artificial intelligence which enables to conduct probabilistic causal inference by Bayesian Network to support their judgement. Then, we discuss the concept of the future issue of this identification process support system, including the question whether this can be applied in trial process with advanced Bayesian Network from the perspectives of each case, user and manager position.</p>

DOI： 10.11517/pjsai.JSAI2021.0_4H3GS11d05

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Publishing type：Part of collection (book)   Publisher：Springer International Publishing  

DOI： 10.1007/978-3-319-94229-2_29

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：BMJ Publishing Group Ltd  

DOI： 10.1136/injuryprevention-2018-safety.487

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institute of Electrical and Electronics Engineers Inc.  

DOI： 10.1109/BigData.2017.8258280

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：AI Access Foundation  

Scopus

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Language：Japanese   Publisher：(一社)日本医療情報学会  

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Language：Japanese   Publisher：日本行動計量学会  

DOI： 10.20742/pbsj.45.0_340

CiNii Research

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Artificial Intelligence  

DOI： 10.1527/TJSAI.NFC-B

Scopus

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Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

User modeling becomes more important at product making business because companies have to deal with a wide variety of customers favorites. We are researching customer behavior modeling based on customers' sensibility or "kansei". In this study, we focused on car selection as the first case of customer modeling and we researched factors related to the selection of a car through qualitative surveys. We took an Internet survey for car selection based on the result of past surveys. In this paper, we report the result obtained from an analysis of the survey data.

DOI： 10.11517/jsaisigtwo.2016.sai-027_02

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Language：Japanese   Publisher：人工知能学会 ; 2014-  

CiNii Books

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Language：Japanese   Publisher：(一社)日本医療情報学会  

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Language：Japanese   Publisher：一般社団法人 人工知能学会  

When we analyze bigdata, it can be a very serious problem that how we make the model from the data. Big data can be a very large sparse matrix and it is unable to analyze with ordinary analytical method. In this thesis, we introduce some examples of big-data analystics which we tired to control and denote our thought of big data analystics.

DOI： 10.11517/jsaifpai.96.0_04

CiNii Research

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Publishing type：Research paper (scientific journal)  

DOI： 10.1527/tjsai.30.383

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Language：Japanese  

CiNii Books

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J-GLOBAL

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J-GLOBAL

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J-GLOBAL

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

To realize sustainable improvement in the nursing-care service field, we are trying to design motivation and creation technology for employees by developing co-creation support system. Components of nursing-care services such as supporting eating and assisting walking are non-routine tasks because employees have to change the service process according to the condition of the patients and environment in order to raise the service quality. Nevertheless, it is difficult to understand actions and results in the entire nursing-care service field because employees have little time to record their actions and are not motivated to do so. Recording support mobile terminals along with employees and with various sensors embedded in the facilities are expected to support the visualization of situations in such collaborative and face-to-face service fields. Moreover, motivation for employees to record actions and knowledge is crucial because human-sensor and human-computation abilities are completely dependent on their proactivity. This paper describes an co-creation support methodology for nursing-care service improvement with 1) Koto(events) accumulation support, 2) design support and 3) knowledge creation support by participatory interaction design, which we proposed previously.

CiNii Books

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Publishing type：Research paper (international conference proceedings)   Publisher：Springer  

DOI： 10.1007/978-4-431-54816-4_15

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J-GLOBAL

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Language：Japanese  

CiNii Books

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1007/978-3-319-07731-4_60

Web of Science

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Publishing type：Research paper (international conference proceedings)  

Scopus

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Language：Japanese   Publishing type：Research paper (scientific journal)  

J-GLOBAL

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Institute of Electrical Engineers of Japan  

It becomes increasingly important for service industries to understand customer behavior using large-scale data such as POS data. However, limitations exist in a customer model constructed on the basis of such behavioral data alone. This paper presents how we can construct a customer model on the basis of both large-scale purchase data and lifestyle survey data. It proposes a method that reveals the connection between lifestyle and behavior by deducing lifestyle from behavioral data using Random Forests, a machine learning algorithm. Then, It applies the proposed method to an actual mass merchandizers using questionnaires on lifestyle collected and the customer behavioral data (ID-POS Data). It thereby demonstrates the effectiveness of the proposed method and its possible use in supporting managerial decision-making on critical issues such as product selection.

DOI： 10.1541/ieejeiss.133.1787

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Other Link： https://jlc.jst.go.jp/DN/JALC/10022937642?from=CiNii

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.cirp.2013.03.087

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Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Publishing type：Research paper (international conference proceedings)   Publisher：Springer  

DOI： 10.1007/978-3-642-39241-2_48

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Language：Japanese   Publisher：The Japan Society for Precision Engineering  

DOI： 10.2493/jjspe.79.987

CiNii Books

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Other Link： https://jlc.jst.go.jp/DN/JALC/10025751283?from=CiNii

Language：Japanese   Publisher：日本知能情報ファジィ学会  

<p>産業構造が製造業からサービス業へシフトし，技術の成熟に伴う製品のコモデティ化，生活における経験価値への意識の変化，環境意識の高まりによる脱物質化などの時代的な背景によって「サービス」に対する重要性が高まっている．工学は歴史的に工業製品などの物理的実体を伴うモノを対象に発達してきたが，物理的実体を伴わないサービスを対象にした工学体系や教育の必要性が強く認識されたことで，最近「サービス工学」と名付けられた研究教育活動が幾つかの大学や研究機関で開始され，2012年にはサービス工学を含むサービス研究の母体となる国際学会，サービス学会が発足した．国内では製造業のサービス化，サービス業の生産性向上，の２つの流れから産業と連携した具体的活動が特長である．海外ではService Marketingの分野で提唱されたServiceDominant Logic，IBMが提唱したService Scienceに始まり，現在ではManagement，Engineering，Designと概念と研究領域を拡大しながら，サービスに関連する国際会議の開催も増えつつある．</p><p>サービスが人間や社会の相互作用として表出され，サービスの価値は人の主観性に基づいて評価されることから，人間工学や社会科学分野の研究領域とも関連が深い．またサービスを実行する主体は組織や集団であることから経営，マネジメント，教育心理学などの知見も重要となる．さらに応用領域は産業応用に限らず医療・看護・介護領域や観光や公共サービス，地域振興，生活支援など多岐に渡る．そこでサービスに少しでも関連のある既存学問領域と密接に関わりながら，これまで個別要素や特定の関心から細分化して扱われていた「生活空間の現象」を包括的なシステム観の元に再構築することもサービス工学の役割として期待される．とくにこれまでの産業に対して工学が果たしてきた役割を果たすためには，物理，機械，情報に対して行われてきた空間表現の確立や定式化，計算操作可能なモデル化による予測と制御，支援システムとしての実装技術などをサービスに対して確立することが重要であろう．</p>

DOI： 10.3156/jsoft.25.6_195_2

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/URAI.2013.6677290

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/R10-HTC.2013.6669034

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Language：English   Publishing type：Part of collection (book)   Publisher：CRC Press  

DOI： 10.1201/b12315

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Language：English   Publishing type：Part of collection (book)   Publisher：CRC Press  

DOI： 10.1201/b12319

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Publishing type：Part of collection (book)  

DOI： 10.1201/b12319

Scopus

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Publishing type：Research paper (international conference proceedings)  

DOI： 10.1007/978-3-642-28509-7_39

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Language：Japanese   Publisher：The Robotics Society of Japan  

DOI： 10.7210/jrsj.29.416

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Other Link： https://jlc.jst.go.jp/DN/JALC/00372378721?from=CiNii

Publishing type：Research paper (scientific journal)  

DOI： 10.20965/jaciii.2011.p0220

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Publishing type：Research paper (international conference proceedings)  

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Publishing type：Research paper (international conference proceedings)   Publisher：Springer  

DOI： 10.1007/978-3-642-28509-7_39

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1587/transinf.E93.D.1186

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Language：Japanese   Publisher：Japan Ergonomics Society  

In this paper, to prevent infant injuries by controlling environmental factors, a computational model of predicting infant behavior from environment is developed. As a subject of the modeling, infant climbing behaviors that accompany fall injuries are focused. Based on observed behavior data, the probabilistic causal relationships among object attributes, infant characteristics, and climbing behaviors were modeled as the Bayesian Network Model. Infant climbing behaviors correlated with the height and surface area of the top face of the objects and the height of the infants. It was demonstrated that infant climbing behaviors could be predicted by the object attributes and be controlled by changing object designs. Behavior models developed by this modeling approach could be useful in preventing infant injuries by evaluating environmental conditions eliciting infant behaviors and by modifying the environments so that infant behaviors leading to injuries would be controlled.

DOI： 10.5100/jje.46.166

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Other Link： https://jlc.jst.go.jp/DN/JALC/00350630056?from=CiNii

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ICEBE.2010.57

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/ICDM.2010.83

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Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

In Japan, childhood injury prevention is urgent issue. Safety measures through creating knowledge of injury data are essential for preventing childhood injuries. Especially the injury prevention approach by product modification is very important. The risk assessment is one of the most fundamental methods to design safety products. The conventional risk assessment has been carried out subjectively because product makers have poor data on injuries. This paper deals with evidence-based risk assessment, in which artificial intelligence technologies are strongly needed. This paper describes a new method of foreseeing usage of products, which is the first step of the evidence-based risk assessment, and presents a retrieval system of injury data. The system enables a product designer to foresee how children use a product and which types of injuries occur due to the product in daily environment. The developed system consists of large scale injury data, text mining technology and probabilistic modeling technology. Large scale text data on childhood injuries was collected from medical institutions by an injury surveillance system. Types of behaviors to a product were derived from the injury text data using text mining technology. The relationship among products, types of behaviors, types of injuries and characteristics of children was modeled by Bayesian Network. The fundamental functions of the developed system and examples of new findings obtained by the system are reported in this paper.

DOI： 10.1527/tjsai.25.602

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Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

A project called `Open life matrix' is not only a research activity but also real problem solving as an action research. This concept is realized by large-scale data collection, probabilistic causal structure model construction and information service providing using the model. One concrete outcome of this project is childhood injury prevention activity in new team consist of hospital, government, and many varieties of researchers. The main result from the project is a general methodology to apply probabilistic causal structure models as servicable knowledge for action research. In this paper, the summary of this project and future direction to emphasize action research driven by artificial intelligence technology are discussed.

DOI： 10.1527/tjsai.25.651

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Language：Japanese   Publisher：一般社団法人 人工知能学会  

子どもの事故予防に配慮した製品設計を行う際、子どもと製品とのインタラクションを検討することが重要となる。しかし、製品の安全設計は設計者によって主観的に行われているのが現状である。本研究では、実データから作成された傷害発生モデルと子どもの行動モデルを生体衝撃シミュレーションと統合し、子どもの日常行動を製品設置空間で重ね合わせて再現することで、起こり得るハイリスクな事故状況を提示する方法を述べる。

DOI： 10.11517/pjsai.jsai2010.0_3j1nfc1a6

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I025925905

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/APSCC.2010.69

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/SoCPaR.2009.107

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1145/1643823.1643850

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Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Language：Japanese   Publisher：THE VIRTUAL REALITY SOCIETY OF JAPAN  

Developing effective safety messages targeting parents is one of the key issues of injury prevention and safety promotion research. The present study was conducted using online-experiment as well as a focus-group methodology to evaluate message effects of animations which depicted childhood injury situations. Parents with children aged 0.5-2 years participated in the study. Compared to simple texts with illustrations on a paper describing injury scenes, animations appeared to be more effective in terms of leaving a strong impression. Focus-group discussion revealed that animations gave parents an opportunity to consider strategies to prevent injuries depicted in the animations. The results suggested that further examination of effectiveness of injury scene animations in safety education is worthwhile.

DOI： 10.18974/tvrsj.14.1_11

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Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

Human behavior understanding in everyday life is promising but not established research field. Our project named 'open life matrix' is focused on this field. In these years, many sensor houses and robotic room projects have been studied and sensing and network technology have been established. However, still we have problems to realize everyday life support information systems and services. There are two major problems. The first one is data representation and computational modeling problem in everyday life. The second one is that we don't have a good way to realize valuable services from research outcomes. We propose a challenge to solve these problems by a scheme for accumulating common data set and probabilistic causal modeling during everyday life services.

DOI： 10.1527/tjsai.24.284

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Language：Japanese   Publisher：National Institute of Advanced Industrial Science and Technology  

Daily life behavior modeling is discussed. This modeling framework consists of statistical learning, probabilistic reasoning, user modeling, and large-scale data collecting technologies. Bayesian networks can represent causality relationship as graphical structures. Such models should include situations and contexts of daily life behavior through real services. In order to collect large-scale data connected with them, we have to provide real services supported by many users. This concept is named " Research as a service " and discussed in this paper.

DOI： 10.5571/synth.2.1

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Other Link： https://jlc.jst.go.jp/DN/JALC/00327527372?from=CiNii

Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1093/ietisy/e91-d.11.2552

Web of Science

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Language：Japanese   Publisher：The Robotics Society of Japan  

DOI： 10.7210/jrsj.26.736

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Language：Japanese   Publisher：Japan Society for Fuzzy Theory and intelligent informatics  

Understanding everyday life behavior requires multidisciplinary and integrated research. This stems from the fact that everyday life behavior is much higher dimensional phenomena than a single academic society can deal with. This paper discusses a method for representing and processing information to deal with everyday life behavior and proposes a new concept of a "spatio-temporal-semantic mapping system (STS Map)" that allows us to standardize and integrate a variety of information and to share information multidisciplinary. The features of the STS Map lie in 1) spatio-temporal expansion of behavior metrics sensing with location sensor, 2) representation based on an environmental coordinate system, 3) a statistical modeling process for knowledge acquisition and a retargeting process. To show the effectiveness of the proposed STS mapping system, this paper reported an implemented system and a case study using the implemented system. In the case study, we conducted in situ measurement of 47 children playing with equipment by a wireless wearable location-electromyography sensor and created two models on a children's skill from the measured data. This paper reported cross-validation of the constructed behavior models and compared them. This paper also reported a new design of play equipment having a climbing part that was suitable for the target age group of children. The new design was conducted using the created model in collaboration with playground equipment designers.

DOI： 10.3156/jsoft.20.190

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Other Link： https://jlc.jst.go.jp/DN/JALC/00312885500?from=CiNii

Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Language：Japanese   Publisher：The Robotics Society of Japan  

Providing parents with information related to child's injury has been considered to be a useful method for preventing child's injuries for many years. However, statistics on child's injuries shows that conventional methods failed to reduce injuries. One cause lies in the lack of feedback loop for personalizing information. In this paper, the authors describe"an information circulation system, "which collects information on parents' cognition on child's injuries through offering personalized information in parallel. This paper describes a new service which offers injury scene videos on the web for injury prevention as a concrete example of the information circulation system. The feasibility of the new service is confirmed by conducting experiments on web for over 13 months in cooperation with a company. This paper also proposes a new method for personalizing information by selecting optimal videos on the web content service based on feature values describing injuries. The effectiveness of the proposed method is proved by questionnaire survy for 20 parents.

DOI： 10.7210/jrsj.25.887

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Other Link： https://jlc.jst.go.jp/DN/JALC/00299749048?from=CiNii

Language：Japanese   Publisher：The Robotics Society of Japan  

DOI： 10.7210/jrsj.25.690

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Other Link： https://jlc.jst.go.jp/DN/JALC/00297900533?from=CiNii

Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Language：Japanese   Publisher：The Society of Instrument and Control Engineers  

DOI： 10.11499/sicejl1962.45.1010

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Other Link： https://jlc.jst.go.jp/DN/JALC/00288640431?from=CiNii

Language：Japanese   Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics  

DOI： 10.3156/jsoft.18.5_764_2

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Publishing type：Research paper (international conference proceedings)  

Web of Science

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Other Link： http://orcid.org/0000-0002-6380-2823

Language：Japanese   Publisher：The Society of Instrument and Control Engineers  

DOI： 10.11499/sicejl1962.42.649

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Other Link： https://jlc.jst.go.jp/DN/JALC/00231183510?from=CiNii

Language：Japanese   Publisher：The Society of Instrument and Control Engineers  

DOI： 10.11499/sicejl1962.42.693

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Language：Japanese   Publisher：一般社団法人 人工知能学会  

ユーザを支援する情報システムを実現するために、文脈や状況を考慮してユーザの意図や要求を推測するユーザモデルを構築することが重要な課題になっている。そのために、ユーザの行動履歴データを解析することが必要であり、文脈によっては異なる表現で同一の意味を与えるデータや、不完全なデータを確率的な推論によって補う仕組みについて議論する。こうした多義的な表現や意味的な階層構造を容易に取り扱うためにXMLを活用したデータベースと従来の高速なSQLデータベース、ユーザの移動履歴を計測するセンサシステムを統合したシステムの構想についても述べる。

DOI： 10.11517/pjsai.JSAI03.0.97.0

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1109/MIS.2001.956081

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Publishing type：Research paper (scientific journal)  

Scopus

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Language：Japanese   Publisher：The Robotics Society of Japan  

We are developing a mobile robot, called Jijo-2, which provides office services, such as answering queries about people's location, route guidance, and delivery tasks. To smoothly interact with office people, Jijo-2 is expected to conduct natural spoken conversation. This paper describes dialogue techniques implemented on our Jijo-2 office robot, i.e. noise-free voice acquisition system by a microphone array, inference of under-specified referents and zero pronouns using the attentional states, and context-sensitive construction of semantic frames from fragmented utterances. The behavior of the dialogue system integrated with the sound source detection, navigation, and face recognition vision is demonstrated in real dialogue examples in a real office.

DOI： 10.7210/jrsj.18.300

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Other Link： https://jlc.jst.go.jp/DN/JALC/00064997667?from=CiNii

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1109/ROBOT.2000.846480

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Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Publisher：Japanese Society of Applied Statistics  

DOI： 10.5023/jappstat.22.99

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Language：Japanese  

CiNii Books

J-GLOBAL

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J-GLOBAL

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J-GLOBAL

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Language：Japanese   Publisher：流通経済研究所  

CiNii Books

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

CiNii Books

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Language：Japanese   Publisher：日本行動計量学会  

CiNii Books

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Language：Japanese   Publisher：日本行動計量学会  

CiNii Books

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J-GLOBAL

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J-GLOBAL

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Language：Japanese  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：慶應義塾大学出版会  

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Other Link： http://search.jamas.or.jp/link/ui/2014334974

Language：Japanese  

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

With the aim of regional development, it offers customization for some support system which delivered into the local community. Moreover, the improvement of the system by the local community is much more required. In this paper, we developed the playground equipment as a support system for regional development and installed in the local community. Also, we analyze festivity of the event using a playground equipment and attempted to improve the service system based on the local community with the aim of the regional development.

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Language：Japanese  

CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00097745/

Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

To realize evaluation of nursing care robots, we propose methodology to develop evaluation tree by employees and customers. Then recording support mobile terminals along with employees and with various sensors embedded in the facilities are expected to support the visualization of situations in such collaborative and face-to-face service fields. Moreover, motivation for employees to record actions and knowledge is crucial because human-sensor and human-computation abilities are completely dependent on their proactivity. This paper describes an evaluation support methodology of nursing-care service components with both direct effects and long-term effects of actions by participatory interaction design, which we proposed previously.

DOI： 10.1299/jsmermd.2014._1P2-E01_1

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J-GLOBAL

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Language：Japanese   Publisher：Institute of Systems, Control and Information Engineers  

CiNii Books

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J-GLOBAL

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J-GLOBAL

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J-GLOBAL

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Language：Japanese  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：日本行動計量学会  

CiNii Books

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：(一社)日本救急医学会  

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Language：Japanese  

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Other Link： http://id.nii.ac.jp/1001/00094188/

Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

To design safety products, it is needed to predict usage pattern and risk scientifically based on actual data. One of the approaches is to use actual accidents data in the past but it is difficult to retrieve and analyze them because accidents data are described with free description. In this paper, the authors proposed a method which enables to understand summaries of accidental situations under specified conditions and its similar accidental situations by describing accidental situation with structuralized description. We reported about a system developed for realizing the proposed method and its application to actual burn and scald accident data.

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Language：Japanese  

CiNii Books

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J-GLOBAL

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Language：Japanese   Publisher：(一社)日本救急医学会  

DOI： 10.3893/jjaam.23.825

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Language：Japanese   Publisher：(一社)日本救急医学会  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

In order to cope with high elderly community, body expressive community support for fostering co-creative activity is discussed. Control of own body cooperating with another's body movement will enhance not only biomechanical function but also brain activity. An Analysis of various groups is shown and community support technologies and methodologies are shown.

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Language：Japanese  

CiNii Books

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Language：Japanese  

CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00081760/

Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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J-GLOBAL

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DOI： 10.11517/pjsai.JSAI2012.0_1F1NFC51

J-GLOBAL

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J-GLOBAL

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：日本行動計量学会  

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Language：Japanese   Publisher：公益社団法人日本オペレーションズ・リサーチ学会  

ベイジアンネットワークの統計的学習によって大規模データから利用者のモデルを構築し,それを活用することでユーザに適応して動作するシステムの研究がある.本稿では情報推薦システムや顧客分析システム,需要予測システムなどの例を紹介する.また,こうした日常生活空間における大規模データから人に関する計算モデルを構築し活用する「実サービスを通じた調査・研究」と人の相互作用であるサービスを対象にするサービス工学についても触れる.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

The purpose of this study is to prevent accident in infants. Therefore, we consider analysis the action of the behavior in the everyday life from several types of sensors. Conventional action recognition has been done only from the image. WWe propose applying additional information, which we treat as the prior distribution in the meaning of the Bayes inference, observed from the supersonic sensors. Prior distribution use Bayesian network formulation in the observation data. Likelihood function calculates maximum likelihood estimation method in feature extraction of images. In this paper, we consider feature extraction candidates as HLAC, SIFT, and 3D SIFT, and compare the performance of them. We estimate behavior labels by this method. Then, we performed a comparison experiment to inference a behavior labels by this method.

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Language：Japanese   Publisher：公益社団法人日本オペレーションズ・リサーチ学会  

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This paper discusses process management problems in restaurant services. First, it introduces an analysis on the customer behaviors using large-scale purchase data. Then it introduces a multi regression model which estimates the number of customers considering date and weather information. Then, it introduces an information sharing system that encourages the real-time sharing of order information among staff members.

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Language：Japanese   Publisher：人工知能学会  

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Language：Japanese  

DOI： 10.11517/pjsai.JSAI2011.0_1B32

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

DOI： 10.1299/jsmemag.114.1110_371

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

DOI： 10.1299/jsmemag.114.1110_376

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Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

This paper describes a computational customer behavior modeling by Bayesian network with an appropriate category. Categories are generated by a heterogeneous data fusion using an ID-POS data and customer's questionnaire responses with respect to their lifestyle. We propose a latent class model that is an extension of PLSI model. In the proposed model, customers and items are classified probabilistically into some latent lifestyle categories and latent item category. We show that the performance of the proposed model is superior to that of the k-means and PLSI in terms of category mining. We produce a Bayesian network model including the customer and item categories, situations and conditions of purchases. Based on that network structure, we can systematically identify useful knowledge for use in sustainable services. In the retail service, knowledge management with point of sales data mining is integral to maintaining and improving productivity. This method provides useful knowledge based on the ID-POS data for efficient customer relationship management and can be applicable for other service industries. This method is applicable for marketing support, service modeling, and decision making in various business fields, including retail services.

DOI： 10.1527/tjsai.26.670

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Language：Japanese   Publisher：一般社団法人 人工知能学会  

<p>店舗の来店人数や売上予測はサービス産業における過剰リソースの縮小や生産性の向上のために重要な課題である。天候や地域性などの多様な要因による変動に対応するために、ベースとなるモデルに対して常に何らかの残差が生じるが、この残差に対して従来の正規分布ではなく、ベイジアンネットによる条件付分布を適用することでベースモデルの連続値に対して補正を行う手法を提案し、需要予測の高精度化を達成した結果を示す。</p>

DOI： 10.11517/pjsai.JSAI2011.0_1B31

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Other Link： http://search.jamas.or.jp/link/ui/2011063725

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Other Link： http://id.nii.ac.jp/1004/00007625/

Language：Japanese   Publisher：公益社団法人日本オペレーションズ・リサーチ学会  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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CiNii Books

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Other Link： http://search.jamas.or.jp/link/ui/2010300912

Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

The present paper describes a computational modeling of customer behavior by using a double-latent class model and the Bayesian network based on the fusion of large scale dataset with respect to behaviors in retail service. The categories of customers and items are estimated from an ID-POS data and questionnaire data by using a double-latent class model extended the PLSI method. We construct the Bayesian network model from the variables that extracted from these large scale dataset and demonstrated the knowledge extraction concerning the customer's behaviors.

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Language：Japanese   Publisher：(一社)日本外傷学会  

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Language：Japanese   Publisher：一般社団法人日本外科学会  

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Retail service provider requires a categorization/segmentation method of customers and items concerning the customer's lifestyle and/or personality. In this paper, we describe a customer and item categorization method by integration of ID-POS data and questionnaire data by using probabilistic latent semantics indexing.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Development of everyday life supporting technology requires understanding structure of everyday life functions, which means relationship among purpose, elemental behaviors and environmental characteristics, Understanding structure of everyday life functions needs a method for representing everyday life functions. This paper proposes a new method for understanding everyday life functions by using WHO's International Classification of Functioning (ICF) as representation of everyday life behavior. The authors collected everyday life protocol data which is life-log data including data on purpose of behavior and annotated the collected data using the ICF code to clarify the structure among low level life behaviors and task level life behaviors.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Modeling users' preference becomes important for providing personalized services. In order to construct context-aware statistical models of preference, large amount of training data is needed. However it requires a heavy workload to set real situations, collect subjects under those situations, and collect data about preference under those situations. To avoid this difficulty, often a large amount of data in a supposed situation is collected, i.e., a situation where the subject pretends/imagines that he/she is in a specific situation. Here we report the result of an analysis about the difference of food menu preference between supposed and real situations based on the data acquired through internet surveys.

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DOI： 10.11517/pjsai.JSAI2010.0_3J1NFC1a2

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DOI： 10.11517/pjsai.JSAI2010.0_3J1NFC1a3

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

Injury prevention is one of the most important and urgent issues in children's health since the primary cause of death of children is unintentional injury. Passive approach, namely injury prevention approach by product modification is strongly needed. The risk assessment is one of the most fundamental methods to design safety products. However, the conventional risk assessment has not been able to deal with risk of childhood injury due to product use because product manufacturers have poor childhood injury data and child behavior data. Developing methodology of evidence-based assessment for childhood injury risk is required by product manufacturers. This paper proposes a system for presenting potential high-risk situation by integrating biomechanical, injury, and child daily behavior model. To prove the effectiveness of the proposed system, this paper describes the application of the system to the risk analysis of a playground swing in a park. The system calculated the potential risk of head injury around the swing equipment.

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

We report on studies to develop new playground equipment by applying sensor technology to examine the science behind children's interaction with playground equipment. Fifty force sensors installed in the developed rock-climbing wall are able to collect a large amount of data while children are playing with the equipment. The behavior data of 623 children were recorded in the present study. Herein, we also report on a child behavior prediction model created from the collected data.

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

This paper reports the progress of implementing a social system for circulating safety knowledge, whose concept was proposed by the authors in 2006, and describes new challenges of injury prevention engineering for safety knowledge circulation.

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

To prevent injury, it is important to cellect injury data and understand improvement by analyzing them. But there are problems that injury situation can not be understood, can not be replicated and can not be shared with similar environments because a methodology for describing injury situation is not established. The main cause is that spatiotemporal information is missing because injury situation is described in free text. This paper proposes a system enable to share injury information with multiple environments and provide appropriate information for characteristic of each envrionment by normalizing and conditional typifying information of situation or place using three-dimensional geographic information system technology and text mining technology. This paper also describe a verification of proposed system using real data of injury due to play equipment.

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CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00067021/

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J-GLOBAL

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Language：Japanese   Publisher：Institute of Systems, Control and Information Engineers  

CiNii Books

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Language：Japanese   Publisher：Institute of Systems, Control and Information Engineers  

CiNii Books

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CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In this paper, model, its statistical learning, probabilistic reasoning, and applications of Bayesian networks are introduced.

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DOI： 10.14874/jergo.45spl.0.224.0

J-GLOBAL

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

The reproduction technology of accident situation is indispensable identify hazards, investigate causes, and develop preventive measures for serious child injuries. This paper proposes a method for estimating accident situation by integrating the bodygraphic injury surveillance system and a fall simulator. The proposed method allows us to to estimate possible accident situations, search the most likely accident situation by evaluating the similarity between simulation data and injury case data, and conduct the worst case analysis. This paper also reports an example of the application of the proposed method to reproducing an actually occurred accident case of play equipment.

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Language：Japanese   Publisher：日本小児保健協会  

CiNii Books

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Other Link： http://search.jamas.or.jp/link/ui/2009156737

Language：Japanese   Publisher：日本小児保健協会  

CiNii Books

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Other Link： http://search.jamas.or.jp/link/ui/2009156736

Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

The purpose of this study is to prevent injury in children. It is important to recognize and observe infant's behavior for injury prevention. Thus, we have forwarded research in Bayesian inference from sensor data. In this research, we calculate likelihood function using tree argumented naive Bayes classifier. Tree aregumented naive Bayes classifier learns from higher order local autocorrelation features from picture of observation and supervised behavior label. TAN classifier is expected higher classification accuracy than naive Bayes classification. We use Bayes inference with TAN classifier and as likelihood from Bayesian networks as prior. Classification accuracy in behavior label evaluates in experiment and inspect efficacy.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Large scale data of human behavior records in daily life or shopping such as POS data can be observed by a development of sensor networks or ubiquitous system. However, most company cannot deal with the data at present efficiently. The present paper describes a construction of consumer behavior model using by a large scale data of shopping record of mail order retail and a questionnaire of the customers.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Modeling users' preference becomes important for providing personalized services. In order to construct context-aware statistical models of preference, large scale training data is needed. However there are several difficulties in the data collection process such as the cost of collecting data is expensive, random experimental design is difficult and only biased samples are a vailable. In the area of observation study and statistical learning, the domain adaptation becomes a key issue which can be applicable to the problem caused by sample selection bias and the insufficient training data. In this report, we will give a survey of the domain adaptation technologies which are developed in various areas, clarify the common structure in the techniques, and discuss the applicability to the preference modeling. At the same time, some techniques in the preference modeling such as collaborative filtering are discussed from the viewpoint of the domain adaptation.

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Language：Japanese   Publisher：日本行動計量学会  

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Other Link： http://id.nii.ac.jp/1004/00007083/

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Other Link： http://id.nii.ac.jp/1004/00007094/

Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

Recently, it is possible to measure and observe human behavior in everyday life due to development of sensor and information processing technology. Furthermore, data-driven modeling of daily human behavior is becoming possible using a large number of measured real data. One of realistic approaches to developing an everyday life behavior simulator is to integrate multiple behavior models that are constructed from different real data in a complementary style. In this paper, the authors propose a method for integrating multiple probabilistic models using everyday life terminology.

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

Safety issue of consumer products is recognized as a big social problem recently. This paper proposes a new methodology "robotization of consumer products" which integrates the following methods as a kind of a feedback system ; 1) sensing how consumer products are used in everyday life, 2) constructing computational model from the collected data in a data-driven way, and 3) improving the products based on the constructed model. This paper reports study on playground equipment as a case study for establishing robotization methodology.

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

This paper describes a bodygraphic injury surveillance system in which a conventional injury surveillance system and a bodygraphic information system are integrated. The bodygraphic injury surveillance system allows us to represent and accumulate external injury related information in a normalized and multilayered way. The system also enables to retrieve necessary data using not only text query such as injury situation and injury mechanism and but also bodygraphic query. This paper also reports examples of injury modeling and statistical analysis by the developed system and 1,628 injury cases data collected in a hospital.

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

Development of everyday life service technology requires understanding everyday life behavior. However, it is difficult to recognize meanings of multiply ambiguous behavior from collected sensor data. To tackle this problem, this paper proposes a system for describing and managing human behavior data using not only sensor data but also meaning and context data. This system consists of embedded sensors for measuring a person's behavior, wearable sensors for measuring the person's remarks and statistical analysis software. The authors applied the developed system to two analyses : 1) causality analysis between "cleaning-up" pattern and person's temperament, and 2) causality analysis between power consumption and behavior.

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Language：Japanese   Publisher：日本知能情報ファジィ学会  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In order to contribute to saving children exposed to daily dangers, monitoring children's everyday behavior is essential for the paradigms of infant risk prevention. In this research, we introduce a statistical lerning to predict infant behavioral models. With the rapid progress in computer-aided processing, we have come to make use of precise graphical models based on calculation using Bayesian networks. Utilizing diverse graphical models will lead us to cover various prior knowledge dwelling in the real world. In this paper, we model probabilistic causal structure chronologically making use of diverse dynamic images and ultrasound location sensor data based on Bayesian Network. Compared with the maximum likelihood estimator dealing with machine learning, this model will give us broader perspective to predict expected human behavior more precisely in daily life.

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

Everyday life computing that means human behavior understanding in everyday life is promissing but not established research field. In these years, many sensor homes and robotic room projects have been studied and sensing and network technology have been established. However, still we have problems to realize practical application of everyday life computing. There are two major problems. The first one is re-usability of computational model in everyday life. The second one is we don't have a good way to reduce variables and dimensions of observations. In this paper, we propose a method to use generarized spatio-temporal mapping and Bayesian network structural learning to overcome these problems.

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Other Link： http://id.nii.ac.jp/1001/00032907/

Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

We are developing a movie recommender system. Movie preferences change according to not only the users' personality, but also to the situation/context such as mood, location, accompanying person, and so forth, and the mobile user may access the recommender system under various situations. However, almost all existing researches on recommender systems have not yet dealt with users' situations. In this paper we propose a novel movie recommender system that provides context-aware personalized recommendations for mobile users. Here, we explain data acquisition process by a large-scale WWW questionnaire survey, then explain a novel Bayesian network model construction process using data acquired. Then we explain design and implementation of the context-aware personalized movie recommender system. The effectiveness of the proposed system is evaluated through two experiments.

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Other Link： http://id.nii.ac.jp/1001/00009699/

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CiNii Books

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Language：Japanese   Publisher：人工知能学会  

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

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Other Link： http://id.nii.ac.jp/1001/00065853/

Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

Probabilistic models and statistical learning methods are studied for intelligent information processing with real world data. In particular, graphical models that have complex structures can handle prior knowledge involved in target problems. Recently, application of conditional random filed models and Bayesian networks are reported as efficient modeling for real world problems like pattern recognition and time series data analysis. In this paper, these graphical models are introduced. As examples to model semantic prior knowledge, human cognitive structures during driving a car and computer simulation for child injury prevention are shown.

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Other Link： http://id.nii.ac.jp/1001/00017946/

Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

One problem in modeling childhood injury in everyday life stems from that we use many kinds of expressions for the same thing. This terminology problem is common in science and technology of everyday life. To solve this problem, this paper describes a method for standardizing the expression of objects, injury mechanisms, injuries, features of objects and behaviors, and so forth based on the NOMESCO code system. This information standardization enables us to integrate a model of everyday life injury with an object database and a lifelog data in order to personalize information on injury prevention. This paper describes a method for visualizing risk of children's home injuries by information integration.

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Other Link： http://id.nii.ac.jp/1004/00006739/

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Other Link： http://id.nii.ac.jp/1004/00006741/

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Language：Japanese   Publisher：人工知能学会  

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Language：Japanese   Publisher：社団法人情報処理学会  

This research proposed a new approach that integrated modeling of moving persons from sensor data and multi-agent simulation for indoor layout design from the veiwpoint of the prevention of childrens&#039; accident. Our model focused on the interaction between indoor goods and children, and estimated the risk of a indoor accident. We discussed multi-agent simulation of multiple moving persons in public spaces and application to evaluation of the information presentation method for guidance.

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Language：Japanese   Publisher：社団法人電子情報通信学会  

This research proposed a new approach that integrated modeling of moving persons from sensor data and multi-agent simulation for indoor layout design from the veiwpoint of the prevention of childrens&#039; accident. Our model focused on the interaction between indoor goods and children, and estimated the risk of a indoor accident. We discussed multi-agent simulation of multiple moving persons in public spaces and application to evaluation of the information presentation method for guidance.

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Language：Japanese   Publisher：人工知能学会  

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

We perform many different behavior in our everyday lives. In the natural sciences such as quantum theory and cosmology, most phenomena can be explained and reproduced in "standard models". However, there is as yet nothing that could be called a standard model for everyday behavior. Building such a model would require sensing technology for describing phenomena, and modeling technology for constructing theory based on quantification of behavior. With the advent of new technology that has become available in recent years, the technological base needed in order to apply science and engineering to the study of everyday behavior is gradually nearing completion. This technology involves 1) pervasive physical phenomena sensing technology that uses ubiquitous sensor technology, 2) global social phenomena sensing technology that uses internet technology, 3) modeling technology based on the large-scale data that is generated by these sensing technologies, and 4) evidence-based service technology. This paper introduces our trial on these four technologies from the viewpoint of child injury prevention engineering and describes the perspective of "science and technology of everyday life system" and its methodology.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

With the flood of various information and contents easily available through the Internet, the need for recommender systems which provide users with the information on demand and on time. In order to make appropriate recommendation, system can model preference/needs of users. So far, various technologies such as collaborative filtering, content-based filtering, demographic filtering have been proposed and applied to many domains. However, almost all of the methods use only a part of available information about users or contens. In this paper, we examine this problem, give a brief survey of exisiting researches, and propose a novel modeling method which utilize all related information in an integrated manner.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

We perform many different behavior in our everyday lives. In the natural sciences such as quantum theory and cosmology, most phenomena can be explained and reproduced in "standard models". However, there is as yet nothing that could be called a standard model for everyday behavior. Building such a model would require sensing technology for describing phenomena, and modeling technology for constructing theory based on quantification of behavior. With the advent of new technology that has become available in recent years, the technological base needed in order to apply science and engineering to the study of everyday behavior is gradually nearing completion. This technology includes 1) pervasive physical phenomena sensing technology that uses ubiquitous sensor technology, 2) global social phenomena sensing technology that uses internet technology and 3) modeling technology based on the large-scale data that is generated by these sensing technologies. This paper focuses on a problem of child injury prevention and introduces our trial on sensing and modeling of everyday behavior of children.

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

With the flood of various information and contents through the Internet, the need for recommendation systems that assist users in finding the information they desire is increasing. For realizing timely movie recommendation, both the user's personality and his situation should be considered at the same time as user preference may change according to his situation such as mood and location etc. We have proposed a recommendation system which achieves context-aware personalized recommendation based on Bayesian network by making use of various information related to user profiles, histories, situations, and content attributes. So far there is no perfect methodology for evaluating usefulness of the recommendation systems as the accuracy is not necessarily connected with the user satisfaction. In this paper, we discuss the evaluation methodology for a movie recommendation system and show the result of basic experiments.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Minimum Description Length (MDL) criteria is generally used as model selection criteria for model construction in Bayesian Network. However, it has been pointed out that the penalty term in MDL criteria for the model complexity is too large when data is small in number compared with the number of combinations of states of the parent nodes. In this paper, we propose a modified MDL with better penalty terms and derive it based on MDL principle. We also show a plan of experimental evaluation by comparing it with a few commonly used criteria.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

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Language：Japanese   Publisher：人工知能学会  

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

Service is a new target of robotic computation. This paper points out that we need to correctly understand what should be computed in service in order to study technologies for supporting our everyday lives. This paper discusses a concept of a computational theory of service. To construct a computational theory of service, firstly we need to understand what are necessary services and describe the services on a computer. This work conducts a survey for 10 university students aged 20's to study human actual needs in everyday lives, and reports the analysis of the survey. This paper also describes the progress of ongoing project as our first trial for establishing a computational theory of service.

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

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Other Link： http://id.nii.ac.jp/1001/00065511/

Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

With the flood of various information and contents through the Internet, the need for recommendation systems that assist users in finding the information they desire is increasing. In case of movie recommendation, user preference may change according to his situation such as mood and location etc.. Existing approaches which use user profiles and/or histories are insufficient as they provide the same results regardless of users' situation. Context-aware methods such as location-based services are neither sufficient as they cannot provide personalized recommendation. In this paper we propose a recommendation system which achieves context-aware personalized recommendation based on Bayesian network by making use of various information related to user profiles, histories, situations, and content attributes.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Service is a new target of computation. This paper points out that we need to correctly understand what should be computed in service in order to study technologies for supporting our everyday lives. This paper discusses a concept of a computational theory of service. To construct a computational theory of service, firstly we need to understand what are necessary services and describe the services on a computer. This work conducts a survey for 10 university students aged 20's to study human actual needs in everyday lives, and reports the analysis of the survey. This paper also describes the progress of ongoing project as our first trial for establishing a computational theory of service.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

We introduce our research project on behavior understanding for daily support. Causality based probabilistic modeling is proposed and it is applied for children's behavior understanding. We construct children's behavior models, situational models, and accident models for simulating children's accidents in houses. We can use the simulation for educational purpose for preventing children's accidents.

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Language：Japanese   Publisher：人工知能学会  

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Language：Japanese   Publisher：東京 : 人工知能学会  

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Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I7455533

Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

CiNii Books

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Language：Japanese   Publisher：日本行動計量学会  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

We introduce our research project for preventing children's accidents. Probabilistic modeling is shown that statistical data in a hospital and a day care center are collect, and a Bayesian network is constructed from the data.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

We are studying a method for modeling user preference that enables movie recommendation, by using data such as user attributes, content attributes and content ratings. In this paper, we construct user preference models by four machine learning methods i.e. naive bayes, decision tree, bayesian network and neural network, using data acquired by a WWW questionnaire about movie preference. Then we show the experimental results in terms of recommendation accuracy.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

We start the research project that realizes computational models of human's cognitive and psychological functions. In this project, quantitative modeling for personal construct is essentially important and also it has many important applications from information technological point of view. In this research, we propose the method that constructs skeleton by evaluation grid method, applies statistical learning of Bayesian networks to obtain quantitative models, and then executes probabilistic reasoning algorithms. We also discuss about practical applications using this framework.

CiNii Books

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Language：Japanese   Publisher：日本行動計量学会  

CiNii Books

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Language：Japanese   Publisher：日本行動計量学会  

CiNii Books

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J-GLOBAL

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DOI： 10.20965/jrm.2005.p0689

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Language：Japanese  

DOI： 10.1527/tjsai.20.117

Scopus

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

This paper describes a method for simulating infant behavior on a virtual environment. This paper classifies the determination factors of the infant's behavior into an internal factor, i.e., the physical and cognitive capabilities estimated from the infant's age, and an external factor, i.e., visual stimulus from the objects around the infant. The authors create infant behavior simulator by modeling the internal and external factors. The authors expects that this kind of simulator will make it possible to analyze infant accidents at home from an engineering point of view and to support designing a room or a home safe for infant.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Recently, recommendation algorithm and services has been studied, which provide appropriate contents or items from a large amount of available contents or services based on personal and contents profiles. So far, content-based filtering and collaborative filtering have widely been used as a recommendation algorithm. They, however, have problems such as unsuitable formalization of human perception and preferences based on content analysis, and extreme sparsity of available data as users typically rate only very few contents. We are now studying a recommendation system based on Bayesian network to solve these issues. In this paper, we first describe requirements for recommendation, then describe model definition policy and an example model based on the results of the questionnaire about movie preference taken from 1600 users.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Bayesian networks are probabilistic models that can be used for practical applications like prediction and decision making under uncertainty. We introduce some practical approaches using Bayesian network. Then, Bayesian network algorithms in current on-going research projects(application to customer modeling, and infant modeling for simulating infants' accidents in houses) are also explained.

CiNii Books

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Language：English  

DOI： 10.1155/S1110865704402303

Web of Science

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Language：Japanese   Publisher：日本行動計量学会  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In-vehicle information systems have acquired more and more content recently. However, retrieving and selecting content pose a safety issue for users, especially drivers. Moreover there is also a convenience issue because of simple user interfaces. It is important for the system to recommend content adapted to users' preferences and situation automatically. In this paper, we show the effectiveness of applying Bayesian networks to user taste model for content recommendation systems in cars. We also present an actual way of building models by information criterions as well as domain knowledge.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Bayesian networks are probabilistic models that can be used for prediction and decision making under uncertainty. In this paper, human modeling research using Bayesian networks is introduced. We introduce some approaches using Bayesian network. Then, current on-going research projects (application to customer modeling, and infant modeling for simulating infants' accidents in houses) are also introduced.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In order to reduce a traffic accident radically, it is important to develop such technology that automatically recognizes the situation of the environment or a driver and supports the driver not to lapse into a dangerous state. This paper surveys the techniques which are used for recognition of the situation of the environment or the driver. One of such techniques is to recognize the present situation from the visual information taken with the camera attached in or out of the car. Statistical data analysis is also applicable for extracting information useful for safety support from various sensored information.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Bayesian networks are probabilistic models that can be used for prediction and decision making under uncertainty. In order to use Bayesian networks for practical applications, efficeient, fast and robust probabilistic reasoning algorithm is necessary. In this paper, several probabilistic reasoning algorithms are introduced. Then, we evaluate each algorithm.

CiNii Books

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Language：Japanese   Publisher：一般社団法人 人工知能学会  

本発表では，JSAI2003において試験運用を行ったイベント情報支援システムのうち，土台となる基盤システム部について発表する．&lt;BR&gt;本システムはCoBITの特性を活かし，個人端末と連携可能な位置に基づく情報支援を実現するシステムである．

DOI： 10.11517/pjsai.JSAI04.0.207.0

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Language：Japanese   Publisher：社団法人情報処理学会  

The target of ubiquitous computing environment is to support users to get necessary information and services in a situation-dependent form. In order to support users interactively, We proposed a location-based information support system by using Compact Battery-less Information Terminal (CoBIT). With a CoBIT, we can get location- and orientation-dependent sound information interactively. In this paper, we develop a new location-aware information support infrastracture, which fully make the most of the characteristics of CoBIT and also cooperating with high end personal.terminals. The demostration results at JSAI2003 will be discussed and show the effectiveness of the system.

J-GLOBAL

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Bayesian networks are probabilistic models that can be used for prediction and decision making under uncertainty. In order to use Bayesian networks for practical applications, learning (model construction) from actual data is important. In this paper, we show a model, probabilistic reasoning, statistical learning of Bayesian network. Applications of Bayesian network are also introduced.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In this paper, a method of detecting and separating speech events in a multiple-sound-source condition using audio and video information is proposed. For detecting speech events, sound localization using a microphone array and human tracking by a stereo vision is combined by a Bayesian network. From the inference results of the Bayesian network, the information on the time and location of speech events can be known in a multiple-sound-source condition. Based on the detected speech event information, a maximum likelihood adaptive beamformer is constructed and the speech signal is separated from background noises and interferences.

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Bayesian network that is a probabilistic model can handle uncertain results of observation with degree of reliabilities as probabilities. Using Bayesian networks, we propose an auditory and visual information integration method for speaker's position estimation. In this paper, a prototype sound separation system and information integration mechanism using Bayesian network are introduced.

CiNii Books

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Language：English   Publisher：THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES  

A knowledge-based satellite malfunction diagnosis method that shows much promise for future applications is introduced. There are two approaches for diagnosing satellites: the sensor-based approach and knowledge-based approach. The former approach starts from the detection of sensor signals, and infers the malfunction. In contrast, the latter approach starts from the background of the malfunction origin, compares the forecasted satellite state with the observed state, and infers the malfunction. In this study, we propose a new knowledge-based approach that utilizes a database of past malfunction data. First, we compiled 95 malfunction cases related to 54 satellites. Then, the malfunctions were categorized according to the phenomenon, cause, and background among others. Next, we analyzed the categories and found specific properties. We then used a model construction algorithm, Quinlan's C5.0, for the decision tree. Finally, the construction of Bayesian networks is helpful as they execute probabilistic reasoning for malfunction prediction.

DOI： 10.2322/tstj.1.1

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J-GLOBAL

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Language：English  

DOI： 10.1109/ICIF.2003.177472

Web of Science

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Language：Japanese  

CiNii Books

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Other Link： http://id.nii.ac.jp/1004/00005593/

Language：Japanese  

CiNii Books

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Language：English  

DOI： 10.1162/089976602753284491

Web of Science

PubMed

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Language：English  

DOI： 10.1109/5254.956081

Scopus

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Language：English  

DOI： 10.1109/72.925558

Web of Science

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Language：English  

DOI： 10.1016/S0262-8856(00)00086-X

Web of Science

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DOI： 10.11309/jssst.18.446

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DOI： 10.11309/jssst.18.446

J-GLOBAL

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Language：English  

Web of Science

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：人工知能学会  

CiNii Books

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Language：English   Publisher：電子技術総合研究所  

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

In this paper, we propose a probabilistic network-based multi-agent model. For intelligent systems running in a real world, systems have to behave correctly in any possible situations. In this context, multi-agent systems which combine software modules(agents)are promising in nowadays. In order to make actions of multi-agent systems rationally, we discuss about situated agents, decision theoretic approaches, and probabilistic networks. Finally, we propose a probabilistic network based multi-agent model. This model can achieve expected utility maximization and rational behavior with uncertain observations.

CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00033573/

Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

The purpose of blind source separation (BSS) is to separate mixed signal from multiple sound sources by using only mixed observation. When applying BSS to acoustic problems such as multiple speech mixed in a room, room reflection reduces preformance of the signal separation. In this report, BSS is combined with subspace method. In the subspace method, the subspace containing dominant direct sounds is extracted while discarding the subspace mainly cotaining reflections. This subspace method is realized by PCA (Principal component analysis) in BSS framework based on the time-delayed decorrelation. As a result of the experiments, reduction of reflection by about 10 dB was obtained in a real environment.

CiNii Books

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Language：Japanese   Publisher：計測自動制御学会  

DOI： 10.11499/sicejl1962.38.468

CiNii Books

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

Robot localization problem that is the task to recognize the current position of a robot from sensor inputs is studied. In this paper, we apply PCA regression models, and train the model from the data set obtained experimentaly. For learning stage, the criterion based on entropy is proposed, and we discuss the computational meaning of the criterion, and comparison with Kullback Leibler divergence and S.Thrun's averaged Bayesian localization error. Moreover,in order to realize better estimation, we propose situated feature focusing, and the method combining with local PCA regression models.

CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00033619/

Language：Japanese  

CiNii Books

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Language：English  

Web of Science

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：人工知能学会  

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese  

CiNii Books

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Other Link： http://id.nii.ac.jp/1004/00004187/

Language：English  

Web of Science

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

On a standard Back Propagation learning method,if the number of hidden units and initialparameters are not suitable for the target function which is approximated by the neural network,we see its learning performance can be bad.This is because the system constructed by the basis functions is uncomplete,when we see the layered neural network as a non-linear functional expansion. In this paper,it is shown that a multi-resolutional structure comes over the uncompleteness of the system through discrete wavelets decompositions,which are constructed by some sigmoidal functions in the layered neural network and also given some coments.We will see that learning performance,in the sence of learning speed and accuracy,of the networks with that structure is better than that of the networks with usually used initial structure of ordinary BP.

CiNii Books

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