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Yamamoto M.,ITEC Inc
IEEJ Transactions on Electronics, Information and Systems | Year: 2011

The data generated at a very high rate by sensors and RFIDs are required to be handled by continuous queries keeping real time response. Because of its purpose, DSMSs are used in several cases of these large scale systems. On the other hand, sensor terminal systems include light RDBMSs generally in many cases. So if light RDBMSs can handle the high rate data directly, it is convenient for several applications. This paper proposes a speed-up method of stream processing by using a light RDBMS SQLite without any special modifications. If DSMSs are categorized by performance such as large, medium and small scale, this method aims at a small or medium scale performance. The database performance mainly depends on storage access time, so this proposed method adopts a memory database, a bulk store records technique and parallel processing while taking advantage of multi-core CPU configurations of terminal systems. © 2011 The Institute of Electrical Engineers of Japan.


Wauters K.,ITEC Inc | Wauters K.,Catholic University of Leuven | Desmet P.,ITEC Inc | Desmet P.,Catholic University of Leuven | And 2 more authors.
Journal of Computer Assisted Learning | Year: 2010

The popularity of intelligent tutoring systems (ITSs) is increasing rapidly. In order to make learning environments more efficient, researchers have been exploring the possibility of an automatic adaptation of the learning environment to the learner or the context. One of the possible adaptation techniques is adaptive item sequencing by matching the difficulty of the items to the learner's knowledge level. This is already accomplished to a certain extent in adaptive testing environments, where the test is tailored to the person's ability level by means of the item response theory (IRT). Even though IRT has been a prevalent computerized adaptive test (CAT) approach for decades and applying IRT in item-based ITSs could lead to similar advantages as in CAT (e.g. higher motivation and more efficient learning), research on the application of IRT in such learning environments is highly restricted or absent. The purpose of this paper was to explore the feasibility of applying IRT in adaptive item-based ITSs. Therefore, we discussed the two main challenges associated with IRT application in such learning environments: the challenge of the data set and the challenge of the algorithm. We concluded that applying IRT seems to be a viable solution for adaptive item selection in item-based ITSs provided that some modifications are implemented. Further research should shed more light on the adequacy of the proposed solutions. © 2010 Blackwell Publishing Ltd.


Kitagami S.,MItsubishi Electric | Yamamoto M.,ITEC Inc | Koizumi H.,Tokyo Denki University | Suganuma T.,Tohoku University
Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 | Year: 2013

Data analysis in a Machine-to-Machine (M2M) service system should concurrently satisfy three requirements, massive data analysis, real-time data analysis, and deep data analysis. However, for this purpose, it is necessary to introduce costly software products such as a Data Stream Management System (DSMS) into M2M service system. In this paper, we propose an M2M data analysis service system using open source software environments, such as SQLite and R, for small-and medium-sized M2M service system. In this study, we evaluate the proposed system based on an application scenario assuming a demand response system smart grid, and extract challenges for the future. © 2013 IEEE.


Yamamoto M.,ITEC Inc | Koizumi H.,Tokyo Denki University
IEEJ Transactions on Electronics, Information and Systems | Year: 2013

The data generated at a very high rate by sensors and RFIDs are required to be handled by continuous queries keeping real time response. DSMSs (Data Stream Management systems) are used in several cases of these large scale systems for its purpose. This paper describes the results of experimental evaluation of distributed data stream processing using SQLite which is a lightweight RDBMS as a stream processing engine node. In particular, it is necessary to correspond also to the increasing data rate flexibly in data stream processing. This paper proved that it could respond to the increase in a data rate by adding a processing node dynamically. In that case, it is necessary to perform synchronous processing in two or more processing nodes. Therefore, within the limits of this experiment, it turned out that it is realizable by performing synchronous processing by the side which divides and passes data. © 2013 The Institute of Electrical Engineers of Japan.


Maervoet J.,Catholic University of Leuven | Brackman P.,RouteYou | Verbeeck K.,Catholic University of Leuven | De Causmaecker P.,Catholic University of Leuven | And 2 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

The present article introduces the outdoor activity tour suggestion problem (OATSP). This problem involves finding a closed path of maximal attractiveness in a transportation network graph, given a target path length and tolerance. Total path attractiveness is evaluated as the sum of the average arc attractiveness and the sum of the vertex prizes in the path. This problem definition takes its rise in the design of an interactive web application, which suggests closed paths for several outdoor activity routing modi, such as mountain biking. Both path length and starting point are specified by the user. The inclusion of POIs of some given types enrich the suggested outdoor activity experience. A fast method for the generation of heuristic solutions to the OATSP is presented. It is based on spatial filtering, the evaluation of triangles in a simplified search space and shortest path calculation. It generates valuable suggestions in the context of a web application. It is a promising method to generate candidate paths used by any local search algorithm, which further optimizes the solution. © 2013 Springer-Verlag.


Sheta A.F.,University of Jordan | Rausch P.,Nurnberg University of Applied Sciences | Al-Afeef A.,ITEC Inc
Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. | Year: 2011

Currently, many automotive companies struggle with expensive product recalls. To overcome these issues the need for quality management increases. Hence, we propose a monitoring and control framework for Lost Foam Casting (LFC) manufacturing processes using Electrical Capacitance Tomography (ECT) and an evolutionary Genetic Programming (GP) based system. The multi-tier framework simulates the process output, helps simulating a metal filling modeling part of the process and supports product quality control. The results are very promising. © Springer-Verlag London Limited 2011.


Yamamoto M.,ITEC Inc
Electronics and Communications in Japan | Year: 2013

The data generated at a very high rate by sensors and RFIDs must be handled by continuous queries that respond in real time. Because of its purpose, DSMSs are used in several cases in these large-scale systems. On the other hand, sensor terminal systems include a light RDBMS generally in many cases. Thus, if a light RDBMS can handle the high-rate data directly, it is convenient for several applications. This paper proposes a method for speeding up stream processing by using a light RDBMS, SQLite, without any special modifications. If DSMSs are categorized by performance such as large-, medium-, and small-scale, this method aims at one with small- or medium-scale performance. The database performance mainly depends on storage access time, so the proposed method adopts a memory database, a bulk storage records technique, and parallel processing while taking advantage of the multicore CPU configurations of terminal systems. © 2013 Wiley Periodicals, Inc.


Vandewaetere M.,ITEC Inc | Vandewaetere M.,Catholic University of Leuven | Desmet P.,ITEC Inc | Desmet P.,Research on French | And 2 more authors.
Computers in Human Behavior | Year: 2011

The development of learner models takes an active part in upcoming adaptive learning environments. The purpose of learner models is to drive personalization based on learner and learning characteristics that are considered as important for the learning process, such as cognitive, affective and behavioral variables. Despite the huge amount of theoretical propositions of learner characteristics considered as relevant for learner models, practical payoffs are rather sparse. This study aims to overview the empirical research on the mere value of learner models in the development of adaptive learning environments. The results show that a lot of high-quality studies are situated in a rather shattered research field, building few bridges from theory to practice. We conclude with the call for a theory or framework integrating current and past research results that is able to guide theory-based and systematic empirical research having concrete hypotheses on the merits of learner characteristics in adaptive learning environments. © 2010 Elsevier Ltd. All rights reserved.


Benites-Rengifo J.L.,Centro Estatal Of Cancerologia Of Nayarit | Benites-Rengifo J.L.,ITEC Inc | Vega-Carrillo H.R.,Autonomous University of Zacatecas
AIP Conference Proceedings | Year: 2014

The neutron spectra, the Kerma and the absorbed dose due to neutrons were estimated along the incoming beam in a solid water phantom. Calculations were carried out with the MCNP5 code, where the bunker, the phantom and the model of the15 MV LINAC head were modeled. As the incoming beam goes into the phantom the neutron spectrum is modified and the dosimetric values are reduced. © 2014 AIP Publishing LLC.


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