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A Prototype Implementation of a Failure Database for Information Sharing with the General Public
Koichi Bando, Yutaka Matsuno, Yang Ishigaki, Kenji Tanaka
To cite this version:
Koichi Bando, Yutaka Matsuno, Yang Ishigaki, Kenji Tanaka. A Prototype Implementation of a Failure Database for Information Sharing with the General Public: A Case Study on Radiation Risk Information after Fukushima Nuclear Disaster. Fast Abstract in the 46th Annual IEEE/IFIP Interna- tional Conference on Dependable Systems and Networks, Jun 2016, Toulouse, France. �hal-01316636�
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A Prototype Implementation of a Failure Database for Information Sharing with the General Public
－ A Case Study on Radiation Risk Information after Fukushima Nuclear Disaster
Koichi Bando1, Yutaka Matsuno2, Yang Ishigaki1, Kenji Tanaka1
1 Graduate School of Information Systems, The University of Electro-Communications, Tokyo, Japan E-mail: [email protected], [email protected], [email protected]
2 Department of Computer Engineering, College of Science and Technology, Nihon University, Chiba, Japan E-mail: [email protected]
Abstract— Advances in technology create and improve important social infrastructures, and as a result, offer greater convenience to the general public. On the other hand, technology has caused accidents that have significant negative impacts on social and the general public. Additionally, large-scale disaster and accident such as nuclear disaster, flood disaster, airplane accident, etc. have occurred. In order to realize secure and safe society in a situation like this, it is important to share failure information with general public and concerned parties, and to improve the problems with common understanding. For that reason, we have been building a failure database that shares risk information about nuclear disasters. The database contains failure information after the Fukushima nuclear disaster. In this paper, we present an outline of this database and the results of an evaluation.
Keywords—Failure database; Fukushima nuclear disaster;
Radiation risk; Information sharing with the general public I. INTRODUCTION
The recent progress of technology advances the sophistication of important social infrastructures, and as a result, offer greater convenience to the general public. On the other hand, it has also caused accidents that have significant negative impacts on social and the general public. For example, in information systems, system failures, personal information leaks, fraudulent withdrawals by spoofing, etc. have had negative effects [1][2]. The Fukushima nuclear power plant accident, resulting from the Great East Japan Earthquake on March 11, 2011 had very negative impacts on a great number of people in the Fukushima and outlying area. To build a safe and secure society in such a situation, the general public needs to gain a better understanding of the risk by obtaining risk information. However, recent systems tend to be complicated by social networking service (SNS), cloud computing, etc., and the diversity of the stakeholders. Therefore, it is important to share risk information among all concerned parties and to examine countermeasures.
In light of this situation, we previously collected and analyzed the failures in financial information systems [1] and communications network systems [2]. Furthermore, we built a framework of a failure database for sharing these data with the general public and other concerned parties, and tried to implement the cases of communications network systems [3].
In this paper, we report the outline and evaluation results of a radiation database (hereafter “Radiation DB”) that we are building with the aim of sharing risk information with general
public and concerned parties about nuclear accidents. Our focus is the Fukushima nuclear power plant accident. This Radiation DB is built using the framework of previous studies [3]. In addition, the DB is used as a fact database within the consensus building tool1 that Matsuno et al. are developing [4].
II. BUILDING OF RADIATION DB A. System configuration
We have been building the Radiation DB within the framework of the failure database used in previous studies [3], and added some additional features. The system configuration is shown in Fig.1. The components are MYSQL, which is an open source relational database, the processing program by PHP and HTML, and the web server Apache. To use the data from other applications such as Microsoft Excel and Access, the system prepares a path for the import and export of these data, and also a connection path that functions as a fact database for the consensus building tool [4].
B. Collecting of the radiation risk information
The radiation risk information collected to the Radiation DB is the nuclear power plant and radiation-related failure information after Fukushima nuclear power plant accident caused by the Great East Japan Earthquake on March 11, 2011.
The target collection includes not only the accident information of the nuclear power plant and radiation, but also the processing of problems after the accident, radiation dose data, etc. The Information is obtained from publicly available sources, such as newspapers (the three national major newspapers in Japan: the Yomiuri, Mainichi, and Asahi Shimbun), and reports by the government and members of nuclear community. The information was collected for January 1, 2011 to December 31, 2014.
1A tool for consensus building by visualizing argument structure about radiation information for citizens, etc.
Fig.1 System configuration of Radiation DB
2 Table 1 shows the total numbers of articles for each classification. The total number is 654 for the collection period of 4 years. The major classes in Table 1(a) are the classification of the collection targets. The subclasses in Table 1 (b) are the results of the classification by Yashima et al. In reference [5]. Yashima et al. were telephone counselors for about six weeks, beginning on March 18th, 2011, which was a week after the Fukushima No. 1 nuclear power plant accident.
The classifications were based on cases from the above telephone consultations with the general public. However, Nos.
11 to 13 in (b) are items added by the authors.
C. Access to Radiation DB from the terminal
Fig.2 shows the top display screen of the Radiation DB. A search is carried out by entering a one-word keyword in the
"First Search" window. To further refine the search, another keyword is added in the "Refine Search” window. Also, it is possible to enter a comment and to view all posted comments.
The contents of the DB can be browsed from the URL noted in Fig.2. At present, this DB is in Japanese, but Fig.2 was translated into English only this figure.
III. EVALUATION AND DISCUSSION
The points that we have devised for achieving our object are first, design of classification items in consideration of radiation accident specific circumstance, and second, easy-to- use search and display function to general public. We evaluated the effectiveness of the Radiation DB with the following method: Assuming that the general public wanted to access the Radiation DB to answer questions related to the radiation accident, we performed keyword searches to
ascertain whether a reference article was actually retrieved.
Specifically, we performed keyword search for 73 cases of telephone consultations in [5] and examined the number of
“hits” for the correct reference articles. The number of hits was 52 (71%). According to this result, the Radiation DB was found to be useful for providing information.
IV. CONCLUSIONS
In this paper, we reported the results of building a Radiation DB containing nuclear and radiation risk information. Specifically, the DB contains nuclear power plant and radiation-related failure information after the Fukushima nuclear power plant accident. The aim of the DB is to provide information to the general public and to share them among all concerned parties. The search results retrieved 71% of the items collected from telephone consultations, As a result, the DB was found to be useful for providing information. A total of 654 articles were available on the website for all concerned parties. Future issues are the expansion of the contents and improvement of the search function.
Acknowledgements
This work has been conducted as a part of "Research Initiative on Advanced Software Engineering in 2015"
supported by Software Reliability Enhancement Center (SEC), Information Technology Promotion Agency Japan (IPA).
REFFERENCES
[1] K. Bando, K. Tanaka ： Trend Analyses of Accidents and Dependability Improvement in Financial Information Systems, 17th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC2011) pp.234-243, IEEE computer society (2011.12)..
[2] K. Bando, K. Tanaka：Failure Analyses of Communications Systems and Networks by Publicly Available Failure Information from the viewpoint of Dependability, 21st IEEE Pacific Rim International Symposium on Dependable Computing (PRDC2015) pp. 139-148, IEEE computer society (2015.11).
[3] K. Bando, Y. Matsuno, Y. Ishigaki, K. Tanaka: A Prototype Implementation of Open Failure Database for Information Sharing with Citizens, 74th FTC workshop (2016.1).(in Japanese).
[4] Y. Matsuno, Y. Ishigaki, K. Bando, H. Kido, R. Kawano, K. Tanaka:
Preliminary Experiment for Consensus Building among Citizens using Argumentation Visualization Tool based on D-Case, Technical Report of IEICE, 2016 (in Japanese).
[5] S. Yashima, K. Chida: Telephone Consultaions for General Public Regarding Radiation Effects from the Fukushima Nuclear Plant Accident, Bulletin of School of Health Sciences Tohoku University, Vol.23, No.2, 2014, pp95-108 (2014.7) (in Japanese) .
Fig.2 Example of top display screen *Note: URL- https://secure1337.sakura.ne.jp/radiation-watch.sakuraweb.com/bandou/raddb/list.php Table 1 Total numbers of each classification
