Keita Matsuo, L. Barolli, J. Arnedo-Moreno, F. Xhafa, A. Koyama, A. Durresi
{"title":"Experimental Results and Evaluation of SmartBox Stimulation Device in a P2P E-learning System","authors":"Keita Matsuo, L. Barolli, J. Arnedo-Moreno, F. Xhafa, A. Koyama, A. Durresi","doi":"10.1109/NBIS.2009.33","DOIUrl":"https://doi.org/10.1109/NBIS.2009.33","url":null,"abstract":"In this paper, we present the experimental results and evaluation of the SmartBox stimulation device in P2P e-learning system which is based on JXTA-Overlay. We also show the design and implementation of the SmartBox environment that is used for stimulating the learners motivation to increase the learning efficiency. The SmartBox is integrated with our P2P system as a useful tool for monitoring and controlling learners’ activity. We found by experimental results that the SmartBox is an effective way to increase the learner’s concentration. We also investigated the relation between learner’s body movement, concentration, and amount of study. From the experimental results, we conclude that the use of SmartBox is an effective way to stimulate the learners in order to continue studying while maintaining the concentration.","PeriodicalId":312802,"journal":{"name":"2009 International Conference on Network-Based Information Systems","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124422695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Proposal and Trial on a Model of a Motion Monitor System for a Ski Jumper Using Terrestrial Magnetism and Acceleration Sensors","authors":"Masaki Oikawa, Nobuyoshi Sato, Y. Murata","doi":"10.1109/NBiS.2009.13","DOIUrl":"https://doi.org/10.1109/NBiS.2009.13","url":null,"abstract":"We have been developing a monitor system of workers in a factory using terrestrial magnetism sensors and acceleration sensors. Terrestrial magnetism sensor is not suitable to monitor linear movement, however, we confirmed it can monitor rotation movement in very high accuracy. Sport is a new possible application area for this system. Terrestrial magnetism sensor is not suitable for sports that player moves about such as soccer, however, it is suitable for sports that require stable forms such as pitching form of baseball, swinging on golf, it is thought. In this paper, we discussed a possibility to apply terrestrial magnetism sensor based monitoring system into ski jumping which seem to be one of sports which require stable forms to athlete. As a result of preliminary evaluation to measure descending speed, and position of taking off, we confirmed high possibility to apply terrestrial magnetism sensor based monitoring system into ski jumping.","PeriodicalId":312802,"journal":{"name":"2009 International Conference on Network-Based Information Systems","volume":"124 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113953524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Akihiro Tomono, M. Uehara, Makoto Murakami, M. Yamagiwa
{"title":"A Log Management System for Internal Control","authors":"Akihiro Tomono, M. Uehara, Makoto Murakami, M. Yamagiwa","doi":"10.1109/NBiS.2009.39","DOIUrl":"https://doi.org/10.1109/NBiS.2009.39","url":null,"abstract":"In recent years, many scandals arising from irregularities in the accounting records of companies have been reported, not only in the United States, but also in Japan. The need for Internal Control is thus growing rapidly. Auditing logs in particular, are important for this purpose, although any Internal Control without an audit function is practically useless. Major companies such as IBM and Sun Microsystems, have already introduced their own systems of Internal Control. However, where systems are outsourced, the larger the company, the greater is the cost of the Internal Control system. An additional problem is the capacity of storage required for logs. This study proposes and develops a system to save log files efficiently and permanently at low cost. It is possible to construct the system at little cost using a Virtual Large Scale Disk (VLSD) as storage for the logs, and the standard functions embedded in the operating system.","PeriodicalId":312802,"journal":{"name":"2009 International Conference on Network-Based Information Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122286141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards Scalable Simulation of Large Scale Distributed Systems","authors":"C. Dobre, Florin Pop, V. Cristea","doi":"10.1109/NBiS.2009.46","DOIUrl":"https://doi.org/10.1109/NBiS.2009.46","url":null,"abstract":"The field of modeling and simulation was long-time seen as a viable alternative to develop new algorithms and technologies and to enable the development of large-scale distributed systems, where analytical validations are prohibited by the nature of the encountered problems. The use of discrete-event simulators in the design and development of large scale distributed systems is appealing due to their efficiency and scalability. In this paper we focus on the challenge to enable scalable, high-level, online simulation of applications, middleware, resources and networks to support scientific and systematic study of Grid and P2P applications and environments. We describe alternatives to designing and implementing simulators to be used in the validation of distributed systems, particularly Grid and P2Ps.","PeriodicalId":312802,"journal":{"name":"2009 International Conference on Network-Based Information Systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134565341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ferit Akova, E. Hirleman, A. Bhunia, Bartek Rajwa, M. Dundar
{"title":"Non-exhaustive Learning for Bacteria Detection","authors":"Ferit Akova, E. Hirleman, A. Bhunia, Bartek Rajwa, M. Dundar","doi":"10.1109/NBIS.2009.79","DOIUrl":"https://doi.org/10.1109/NBIS.2009.79","url":null,"abstract":"Technologies for rapid detection and classification of bacterial pathogens are crucial for securing the food supply. A light-scattering sensor recently developed for real-time detection and identification of colonies of multiple pathogens has shown great promise for distinguishing bacteria cultures at the genus and species level for Listeria, Staphylococcus, Salmonella, Vibrio, and Escherichia. Unlike traditional testing methods, this new technology does not require a labeling reagent or biochemical processing. The classification approach currently used with this technology relies on supervised learning. For an accurate detection and classification of bacterial pathogens, the training library used to train the classifier should consist of samples of all possible forms of the pathogens. Construction of such a training library is impractical if not impossible due to the high mutation rate that characterizes some of the infectious agents. In this study we propose a Bayesian approach to advance this sensor technology to allow for the detection of new classes/subclasses of bacteria, which do not exist in the training library. Learning with a nonexhaustive training library is an ill-defined problem. We assume Gaussian distributions for bacteria subclasses and implement a maximum likelihood classifier. A pair of conjugate priors based on Wishart distribution is defined and the covariance matrices are estimated by the posterior mean. A new sample is classified into one of the existing set of classes if the maximum of the likelihoods is above a designated threshold. If not, the sample is considered a novelty, i.e. a sample of a potentially new class. We compare the proposed approach with a benchmark support estimation technique as well as a simulated Bayesian modelling approach recently proposed.","PeriodicalId":312802,"journal":{"name":"2009 International Conference on Network-Based Information Systems","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124942718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}