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Relationship between the five factor model personality and learning effectiveness of teams in three information systems education courses 18

Relationship between the five factor model personality and l...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Shuto, Masashi Washizaki, Hironori Kakehi, Katsuhiko Fukazawa, Yoshiaki Yamato, Shoso Okubo, Masashi Tenbergen, Bastian Waseda Univ Tokyo Japan Ehime Univ Matsuyama Ehime Japan NEC Management Partner Tokyo Japan SUNY Coll Oswego New York NY USA

ISBN: (纸本)9781509055043

Although working in teams is an effective method for students to learn skills necessary for information systems, the optimal combination of team members to maximize the learning effectiveness has yet to be clarified. this study investigates the relationship between the combination of students' personality characteristics and learning effectiveness in three information system lecture courses. Two Five Factor Model (FFM) questionnaires were used to determine each student's personality characteristic. For each course, which has different styles, several different relationships are found. this study should assist educators in maximizing students' learning effectiveness in information systems courses involving teamwork.

关键词： component information system education communication coordination five factor model software engineering education personality characteristics problem-based learning

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Optimizing Change Detection in distributed Digital Collections An Architectural Perspective of Change Detection 18

Optimizing Change Detection in Distributed Digital Collectio...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Meegahapola, Lakmal Alwis, Roshan Nimalarathna, Eranga Mallawaarachchi, Vijini Meedeniya, Dulani Jayarathna, Sampath Univ Moratuwa Dept Comp Sci & Engn Moratuwa Sri Lanka Calif State Polytech Univ Pomona Dept Comp Sci Pomona CA 91768 USA

ISBN: (纸本)9781509055043

Digital documents are likely to have problems associated with the persistence of links, especially when dealing with references to external resources. People keep track of various webpages of their interest using distributed digital collections and without possession of these documents;the curator cannot control how they change. In the current context, managing these distributed digital collections and getting notifications about various changes have become a significant challenge. In this paper, we address the architectural aspects of change detection systems and present optimized change detection architecture, including a web service and a browser plugin, along with an email notification service. We have performed an experimental study on our hybrid architecture for change detection in a distributed digital collection. the proposed method introduces a preliminary framework that can serve as a useful tool to mitigate the impact of unexpected change in documents stored in decentralized collections in the future.

关键词： Change detection change notification distributed digital collections

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Simplify Methodology for Developing VR Applications Based on Shared VR Materials 18

Simplify Methodology for Developing VR Applications Based on...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Panyangam, Benjamas Surak, Suttipong Panyakeaw, Sangapong Chiang Mai Univ Fac Sci Dept Comp Sci Chiang Mai Thailand

ISBN: (纸本)9781509055043

Panorama images are most recently utilized on immersive virtual reality system. this paper point up simply methodology for developing virtual reality applications based on environment panorama display system. the 2D panorama images are taken from real world environments. Panoramas including their information are shared as VR materials and can be retrieved and rendered as virtual environments on many virtual systems in different contents. Multiple connection points among images are managed for realistic feeling to navigate in the constructed virtual environment. To assess the success of methodology process, the virtual system to tour an organization is constructed using images taking from places of a building in the organization. the built system can work well as individual mobile application.

关键词： Virtual reality Panorama image Shared materials

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Learning and Immediate Retention of Japanese Vocabulary Using Generated Mnemonic Keywords 18

Learning and Immediate Retention of Japanese Vocabulary Usin...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Leelanupab, Teerapong Anonthanasap, Orapin KMITL Fac Informat Technol Bangkok 10520 Thailand

ISBN: (纸本)9781509055043

this laboratory-based user study is designed to evaluate automated mnemonic keywords generation systems for Japanese vocabulary learning. We examine our successful methodology and in particular a new phonetic algorithm, named JemSoundex, for Japanese-to-English-Mnemonic phonetic matching, in a learning and immediate retention task. Our methodology retrieves and ranks candidate keywords by considering phonetic, orthographic and semantic similarities, as well as psycholinguistic power. Experimental results showed that keywords provided by JemSoundex improved learner performance in the task of a short-term vocabulary learning, in comparison with no keyword support and two traditional phonetic transcriptions (i.e., IPA and Soundex). this improvement was even more evident for difficult words having more syllables. Participants also rated keywords generated by our JemSoundex as more phonetically relevant and useful than those by other baselines.

关键词： Keyword Retrieval Japanese Vocabulary Learning Mnemonics Phonetic Algorithm

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Batch-Based Flash Crowd Relaxation in Cloud-Assisted P2P Live Streaming 18

Batch-Based Flash Crowd Relaxation in Cloud-Assisted P2P Liv...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Jinbo, Shuji Alghazawy, Bahaa Aldeen Fujita, Satoshi Hiroshima Univ Dept Informat Engn Higashihiroshima 7398527 Japan

ISBN: (纸本)9781509055043

this paper proposes a batch-based method to effectively relax the flash crowd in P2P live streaming systems with the aid of the cloud. the role of the cloud is twofolds. the first one is to determine the concrete overlay structure of batches consisting of nodes waiting in the request queue which is restricted to be a multiple-spanning-tree. With this approach we could maximize the resource utilization in each batch without increasing the load of the tracker. the second one is to feed recently issued chunks to the gateway of batches before connecting them to the existing overlay. the performance of the proposed method is evaluated by simulation. the result of simulations indicates that: 1) the proposed method reduces the waiting time of conventional method by 80%, and 2) the amount of data fetched from the cloud could effectively be reduced by decreasing the size of batches.

关键词： P2P live streaming cloud-assisted flash crowd

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Detecting Precursor Patterns for Frequency Fluctuation in an Electrical Grid 18

Detecting Precursor Patterns for Frequency Fluctuation in an...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Islam, Md. Shahidul Pears, Russel Bacic, Boris Auckland Univ Technol Sch Engn Comp & Math Sci Auckland 1010 New Zealand

ISBN: (纸本)9781509055043

Precursor pattern identification addresses the problem of detecting warning signals in data that herald an impending event of extraordinary interest. In the context of electrical power systems, identifying precursors to fluctuations in power generation in advance would enable engineers to put in place measures that mitigate against the effects of such fluctuations. In this research we use the Morlet wavelet to transform a time series defined on electrical power generation frequency which was sampled at intervals of 30 seconds to identify potential precursor patterns. the power spectrum that results is then used to select high coefficient regions that capture a large faction of the energy in the spectrum. We then subjected the high coefficient regions together with a contrasting low coefficient region to a non-parametric ANOVA test and our results indicate that one high coefficient region dominates by predicting an overwhelming percentage of the variation that occurs during the subsequent fluctuation event. these results suggest that the wavelet is an effective mechanism to identify precursor activity in electricity time series data.

关键词： Precursor Pattern Frequency Fluctuation Wavelet Transform Non-Parametric ANOVA

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A case of electrical circuit switched interconnection network for parallel computers 18

A case of electrical circuit switched interconnection networ...

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18th international conference on parallel and distributed computing, Applications and Technologies, PDCAT 2017

作者： Hu, Yao Kudoh, Tomohiro Koibuchi, Michihiro National Institute of Informatics 2-1-2 Hitotsubashi Chiyoda-ku Tokyo101-8430 Japan University of Tokyo 2-11-16 Yayoi Bunkyo-ku Tokyo113-8658 Japan

ISBN: (纸本)9781538631515

Circuit switching is a way to minimize network latency and maximize network bandwidth when a limited number of source-and-destination pairs exchange messages which are predictable. Although there are a large number of studies of optical circuit switching (OCS) on HPC systems and datacenters, it is still not mature. In this context, we explore the use of electrical circuit switching (ECS) for the low-latency purpose on HPC systems and datacenters. ECS has the same link bandwidth as existing electrical packet switched networks, and inherits quick update of input-and-output connections from electrical switches. We develop a network topology generator for ECS to minimize the number of time slots optimized to target applications whose traffic patterns are predictable. By performing a quantitative discrete-event simulation, we present that an ideal ECS network outperforms counterpart EPS networks. Evaluation results show that the minimum necessary number of slots (MNNS) can be reduced to a small number in a generated topology while keeping resource amount less than that in a standard mesh network. © 2017 IEEE.

关键词： Timing circuits

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Decision Model for Identity Management Product Selection Using Fuzzy AHP 18

Decision Model for Identity Management Product Selection Usi...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Noradachanon, Noraset Senivongse, Twittie Chulalongkorn Univ Fac Engn Dept Comp Engn Software Engn Program Bangkok Thailand

ISBN: (纸本)9781509055043

Identity management (IDM) refers to a security discipline that employs technologies to manage information about the identity of users and control their access to organization resources. Various IDM products are in the market to offer corporate customers productivity and security while lowering costs of identity management. System integrators who implement the IDM solutions for their corporate customers often face problems when choosing the right IDM products for integrating with the customers' enterprise systems. this paper proposes a decision model for IDM product selection which is used in evaluating and ranking IDM products based on the proposed customer requirements questionnaire. the model is comprehensive in that its decision criteria comprise not only the technical specifications of the products but also other important aspects including price and accountability of system integrators and product vendors. Based on the decision model, product selection is conducted using a multi-criteria decision making technique called fuzzy analytic hierarchy process (fuzzy AHP). In an evaluation, a leading system integrator company in thailand applies the proposed approach to IDM product selection for its customer and the result is quite satisfactory.

关键词： identity management multi-criteria decision making analytic hierarchy process fuzzy set

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A Study of Social Graph Analysis for Preschool Education Using Face Authentication Pruning for Centrality Optimization in Graph Analysis 18

A Study of Social Graph Analysis for Preschool Education Usi...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Tomioka, Tsuyoshi Hasegawa, Makoto Shiraishi, Shojiro Tokyo Denki Univ Sch Engn Tokyo Japan Res Inst Informat Environm Design CO LTD Tokyo Japan Project May Inc Tokyo Japan

ISBN: (纸本)9781509055043

Social graph analysis for preschool education is discussed in this paper. Our social graph describes relations between preschool children and preschool teachers. the preschool teachers wear eyeglasses equipped with a video camera, and they take a video in their childcare. the social graph is created by a face recognition and authentication systems that perform identification for children and preschool teachers from the video. Some centralities of our graph are computed, and analyze the preschool education. When we take a long video, our social graph may become a complete graph, so that values of the centralities for all children are equal;it is our technical issues. In this paper, we discuss graph pruning and optimize our centralities for the graph analysis. Our performances of graph pruning are shown in our experiments.

关键词： Social graph eyeglasses type video camera face recognition and authentication system graph centrality pruning

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Influence of Facial Expression and Viewpoint Variations on Face Recognition Accuracy by Different Face Recognition Algorithms 18

Influence of Facial Expression and Viewpoint Variations on F...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Phankokkruad, Manop Jaturawat, Phichaya King Mongkuts Inst Technol Ladkrabang Fac Informat Technol Bangkok 10520 Thailand

ISBN: (纸本)9781509055043

Face recognition is a personal identification method using biometrics that is gaining the attention in this research field. the face recognition process can be done without the human and devices interaction, so it can be applied in several applications. In additions, the face recognition systems are typically implemented at different places in unconstrained environments. Hence, the study of the factors that impact the face recognition accuracy is an interesting and challenging topic. In the class attendance checking system using face recognition, there are variations of three factors that possibly affect the accuracy of the system;facial expressions, and face viewpoints. this study intends to compare facial recognition accuracy of three well-known algorithms namely Eigenfaces, Fisherfaces, and LBPH. the experiments conducted in the respects of the variation of facial expressions, and face viewpoints in the actual classroom. the results of the experiment demonstrated that LBPH is the most precise algorithm which achieves 81.67% of accuracy in still-image-based testing. the facial expression that has the most impact on accuracy is the grin, and face viewpoints that affect accuracy are looking down and tilting left, and right respectively. therefore, LBPH is the most suitable algorithm to apply in a class attendance checking system after considering the accuracy.

关键词： Face Recognition Fisherfaces Eigenfaces LBPH Class Attendance Facial Expression Face Viewpoint Computer Vision

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