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Portland International Conference on management of Engineering and technology (PICMET)

作者： Miwa Nishinaka Kunio Shirahada Yusuke Kishita Hisashi Masuda Hideaki Takeda Dohjin Miyamoto Hirotaka Osawa The Graduate School of Management Kagawa University Takamatsu Kagawa Japan School of Knowledge Science Japan Advanced Institute of Science and Technology (JAIST) Nomi Ishikawa Japan Department of Precision Engineering The University of Tokyo Tokyo Japan aculty of Global Engagement Kyoto University of Foreign Studies Kyoto Japan National Institute of Informatics Tokyo Japan Graduate School of Information Science and Technology The University of Tokyo Tokyo Japan Faculty of Science and Technology Keio University Yokohama Kanagawa Japan

Roadmapping is a structured, logic-based method to support strategic planning for organizations and governments. However, it is not necessarily effective to produce destructive changes in the era of uncertainty. Specifically, roadmapping is useful for visualizing ideas for better communication among stakeholders but has limitations when creating unconventional knowledge through abduction. Additionally, it lacks the ability to create knowledge considering humanity and well-being to respond to current and future uncertain social situations. Therefore, this study aims to explore the key factors for incorporating the science-fiction (sci-fi) prototyping method into roadmapping, based on the literature review. Roadmapping is a logic-consistent, face-to-face workshop-based method, whereas sci-fi prototyping is a workshop-based method that utilizes fiction in a distributed virtual system. Both methods are used to conceptualize future innovative technologies and policy recommendations. Though they have similar objectives, the resulting future concepts are exactly the opposite. To integrate the two methods effectively, we break them down into modules and consider reconstructing them. After conducting comparative studies based on previous research, we propose a cooperative base of the two methods.

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Foresight scenario analysis of motor system of electric vehicle

Foresight scenario analysis of motor system of electric vehi...

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26th Electric Vehicle Symposium 2012, EVS 2012

作者： Shiue, Yih-Chearng Chen, Peng-Jen Lee, Chang-Franw Yu, Chih-Chiang Chen, Chih-Wei Department of Information Management National Central University No.300 Jhongda Rd. Jhongli City Taoyuan County 32001 Taiwan Graduate School of Design Doctoral Program National Yunlin University of Science and Technology No. 123 University Road Douliou Yunlin 64002 Taiwan Department of Industrial Design National Yunlin University of Science and Technology No. 123 University Road Douliou Yunlin 64002 Taiwan Department of Business Administration National Central University No.300 Jhongda Rd. Jhongli City Taoyuan County 32001 Taiwan

ISBN: (纸本)9781622764211

In order to describe the trend of motor system development of electric vehicle and to figure out the factors that would affect the external drives and the internal resources, the thesis uses scenario analysis method to be the basic framework, adding modified Delphi method to clarify time transition into five categories: changeless, changeable, disappeared, uncertain states and newborn. More precisely, the five factors is used to construct "Scenario Analysis of Markov Modified Delphi Method". The thesis focuses on motor system to do the Foresight analysis, using the transition concept of Markov Chain to clarify the key factors of uncertain states into motor system: brushless DC (BLDC) motor, surface permanent magnet synchronous motor and Switched Reluctance In-Wheel Motor. Moreover, the changeless concept of Markov Chain is used to be background, adding the key factors of changeable and uncertain states to clarify seven kinds of scenario portfolio: basic scenario, scenario assumption I, scenario assumption II, future scenario, breakthrough scenario I, breakthrough scenario II and challenge scenario. It could make the government, industries and related departments realize the development trend of key components about electric vehicle by the scenario descriptions. It can increase their willingness to invest in the related researches to achieve future image, also shape the usable engineering technique and integrated system concepts of electric vehicles in 2020 for public.

关键词： Electric vehicles

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A collaborative mobile approach for business process elicitation

A collaborative mobile approach for business process elicita...

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International Conference on Computer Supported Cooperative Work in Design

作者： Nelson Baloian Gustavo Zurita Flávia Maria Santoro Renata Mendes Araujo Sean Wolfgan Doulgas Machado José A. Pino Department of Computer Science Universidad de Chile Santiago Chile Management Control and Information Systems Department Business School Universidad de Chile Santiago Chile Graduate Program in Information Systems-Research and Practice Group in Technology (NP2Tec) Federal University of Rio de Janeiro Rio de Janeiro Brazil

Collaborative techniques for business process design are generally supported by groupware tools that allow process actors to interact collecting their knowledge about the activities performed. Despite success reports, challenges are still observed due to the complexity of this task. We propose to gather benefits of interviews, collaboration and visual methods in eliciting business processes in order to deal with problems identified in literature. We present an approach based on a collaborative mobile application which analysts should use while interviewing process stakeholders. The information is collected through a simple BPMN diagram through which they exchange information and build parts of the models.

关键词： Business Collaboration Interviews Logic gates Mobile handsets Visualization Mobile communication

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A lightweight method for wireless sensor network intrusion detections

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ICIC Express Letters 2013年第6期7卷 1793-1798页

作者： Chen, Rung-Ching Hsieh, Chia-Fen Huang, Yung-Fa Department of Information Management College of Informatics Chaoyang University of Technology No. 168 Jifeng E. Rd Wufeng District Taichung 41349 Taiwan Graduate Institute of Informatics Doctoral Program College of Informatics Chaoyang University of Technology No. 168 Jifeng E. Rd Wufeng District Taichung 41349 Taiwan Department of Information and Communication Engineering College of Informatics Chaoyang University of Technology No. 168 Jifeng E. Rd Wufeng District Taichung 41349 Taiwan

Wireless sensor networks can be applied to health care and disaster response, etc. The importance and accuracy of the information requirements of wireless sensors are more stringent. It corresponding to the use of information security should be taken seriously. The detection technology of intrusion detection system (IDS) will affect the lifetime of entire wireless sensor network (WSN). This study combines ontology with intrusion detection system to propose a lightweight ontology intrusion detection system (OWIDS). The system builds the relationship of sensor node in the ontology to detect Sybil attack firstly. The patrol node loads a part of the ontology to detect Sybil attack. Finally, the system uses the isolation table to continue isolation abnormal nodes to avoid duplicate detection energy-consuming. The preliminary experimental result shows that our proposed method can reduce the energy consumption for wireless sensor network intrusion detection, and improve the availability of intrusion detection systems. © 2013 ISSN 1881-803X.

关键词： Ontology

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Preprocessing Techniques for Enhancing Vision-Based Detection System for Tire Sidewall Extraction

Preprocessing Techniques for Enhancing Vision-Based Detectio...

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International Seminar on Research of information technology and Intelligent Systems (ISRITI)

作者： Jia Hao Loo Veronica Lestari Jauw Chin Seong Lim Khairul-Rijal Sarmin Nunung Nurul Qomariyah Ahmad Nurul Fajar Department of Mechanical Materials and Manufacturing Engineering University of Nottingham Malaysia Malaysia Continental Tyre Technology Centre Malaysia Petaling Jaya Malaysia Computer Science Department School of Computing and Creative Arts Bina Nusantara University Jakarta Indonesia Information System Management Department BINUS Graduate Program-Master Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331519643

ISBN: (纸本)9798331519650

This study aims to develop a system for extracting crucial information from tire sidewalls using Optical Character Recognition (OCR). Initially, images of tire were captured manually by smartphone cameras, including Redmi 9T, iPhone 11, and Galaxy S23 Ultra. The captured images are then transferred to a computer for storage. Subsequently, these images were cropped according to the boundaries identified by Hough Circle Transform (HCT). The cropped images were then further pre-processed. During the pre-processing phase, geometrical transformation and image sharpening techniques are applied to enhance the clarity and readability of the text images. The text is then extracted using Google Vision, with the extracted text categorized by size, DOT, brand and pattern. The results indicated that the effectiveness of image pre-processing was constrained by the accuracy of circle detection, which reached a maximum rate of 87.1%. This causes parts of the text to be cut out inaccurately, leading to a suboptimal extraction accuracy of 55.65%. It is also observed that the Redmi 9T camera produced inconsistent results compared to other devices. Specifically, the iPhone 11 and Samsung Galaxy S23 Ultra demonstrated superior extraction accuracies of 69.71% and 66.37%, respectively, whereas the Redmi 9T achieved a lower extraction accuracy of 37.76%.

关键词： Accuracy Optical character recognition Text categorization Lighting Transforms US Department of Transportation Cameras Tires Internet Data mining

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Bridge Sub Structure Defect Inspection Assistance by using Deep Learning

Bridge Sub Structure Defect Inspection Assistance by using D...

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IEEE International Conference on Awareness Science and technology

作者： Pravee Kruachottikul Kittikul Kovitanggoon Nagul Cooharojananone Donnaphat Trakulwaranont Gridsada Phanomchoeng Kanokwan Atchariyachanvanich Thira Chavarnakul Technopreneurship and Innovation Management Program Graduate School Chulalongkorn University Bangkok Thailand Department of Mathematics and Computer Science Chulalongkorn University Bangkok Thailand Department of Mechanical Engineering Chulalongkorn University Bangkok Thailand Department of Commerce Chulalongkorn University Bangkok Thailand Faculty of Information Technology King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand

Road transportation is the most popular transportation in Thailand, which the top two highest traffic are the region-to-region highways;and then inter-city highways. Therefore, the regular maintenance is required to maintain the good condition due to road safety. The most significant process of bridge inspection procedures is sub structure inspection, which requires visual inspection as an initial step. This process is used to quick determine the damage severity i.e. appearance and crack that may cause damage to the structure strength. The current process requires that the experienced maintenance engineer to be on the field in order to visual inspect and estimate whether the maintenance is required. Yet, due to the limitation of number of expert engineers to be on the field, the photo verification is introduced to assist them so that they are no need on every inspection site. However, using human to verify has no standard and uncontrollable. They need to have experience and good knowledge. As well as it is highly depended on individual decisionmaking skill. Thus, in this paper, the deep learning technique will be presented to assist the expert for quality inspection process of bridge sub structure images. That is using image enhancement and then image splitting and overlapping for image pre-processing. After that applying CNNs for object classification. As a result, the total accuracy is 89% based on 3926 dataset.

关键词： Bridges Inspection Machine learning Maintenance engineering Convolution Training Concrete

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The interplay of public and private spaces in internet access

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information Communication and Society 2006年第5期9卷 633-656页

作者： Viseu, Ana Clement, Andrew Aspinall, Jane Kennedy, Tracy L. M. Department of Science and Technology Studies Cornell University Ithaca NY United States Department of Science and Technology Studies Cornell University 311 Rockefeller Hall Ithaca NY 14853 United States Faculty of Information Studies University of Toronto Information Policy Research Program Toronto Ont. Canada Collaborative Graduate Program in Knowledge Media Design Canada Information Policy Research Program Faculty of Information Studies University of Toronto Toronto Ont. M5S 3G6 140 St George St Canada Graduate Department of Sociology University of Toronto St. Catherine's Ont. M5S 2J4 725 Spadina Avenue Canada

The creation of public internet access facilities is one of the principal policy instruments adopted by governments in addressing 'digital divide' issues. The lack of plans for ongoing funding, in North America at least, suggests that this mode is regarded mainly as transitional, with private, home-based access being perceived as superior. The assumption apparently is that as domestic internet penetration rates rise, public access facilities will no longer be needed. Central to this issue are the varied characteristics of publicly provided and privately owned access sites and their implications for non-employment internet activities. What are the relative advantages and disadvantages of these two access modes? More fundamentally, how do people conceptualize public and private spaces and how does this perception influence their online activities? Finally, why do people choose one over the other, and how do they navigate between the two? This article attempts to answer these questions by drawing on data generated within the Everyday Internet Project, a 'neighborhood ethnography' of internet usage. It argues that the conventional view of private and public access facilities as immiscible, fixed alternatives is inadequate. Rather than 'pure' types, they are better understood as offering hybrid spaces whose identity and character are fluid, perceived differently by individuals in light of the activities being performed, life experiences, infrastructure and architecture. The picture emerging from our study is one where public and private access modes intertwine with each other in a variety of ways, their combination offering significant additional value for many users. From a public policy perspective, these findings suggest that if universal access is to be achieved, there is a continuing need for publicly supported broad-spectrum facilities with integrated technical support and learning opportunities, even if domestic penetration rates approach that of the telephone. ©

关键词： Digital divides Internet access and use Internet policy Neighborhood ethnography Spatial hybridity

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FincGAN: A Gan Framework of Imbalanced Node Classification on Heterogeneous Graph Neural Network

FincGAN: A Gan Framework of Imbalanced Node Classification o...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Hung Chun Hsu Ting-Le Lin Bo-Jun Wu Ming-Yi Hong Che Lin Chih-Yu Wang Graduate Program of Data Science National Taiwan University and Academia Sinica Taiwan Department of Accounting and Statistics National ChengChi University Taiwan Department of Risk Management and Insurance National ChengChi University Taiwan Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Research Center for Information Technology Innovation Academia Sinica Taiwan

Graph Neural Networks (GNNs) frequently face class imbalance issues, especially in heterogeneous graphs. Existing GNNs often assume balanced class sizes, which isn’t true in many cases. Applying them directly to imbalanced data can lead to sub-optimal performance. Traditional oversampling methods, while effective, risk overfitting and face difficulties in reintegrating synthetic samples into the original graph. In this study, we introduce Framework of Imbalanced Node Classification on heterogeneous graph neural network with GAN (FincGAN), a new framework that utilizes oversampling techniques to address class imbalance in heterogeneous graphs. Instead of duplicating existing samples, FincGAN employs a Generative Adversarial Network (GAN) to create synthetic samples and uses deep learning-based edge generators to connect them back to the original graph. Our evaluations on spam user detection in the Amazon and Yelp Review datasets show that FincGAN outperforms baseline models in all essential metrics, including F-score and AUC-PRC score, showing its effectiveness in addressing class imbalance.

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Social media-based online entrepreneurship approach on millennials: A measurement of job pursuit intention on multi-level marketing

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Procedia Computer Science 2022年 197卷 110-117页

作者： Reny Nadlifatin Satria Fadil Persada Mutiara Clarinda Gogor Arif Handiwibowo Rr Ratih Laksitowati Yogi Tri Prasetyo Anak Agung Ngurah Perwira Redi Department of Information System Institut Teknologi Sepuluh Nopember Campus ITS Sukolilo Surabaya 60111 Indonesia Department of Business Management Institut Teknologi Sepuluh Nopember Campus ITS Sukolilo Surabaya 60111 Indonesia Department of Technology Management Institut Teknologi Sepuluh Nopember Campus ITS Sukolilo Surabaya 60264 Indonesia School of Industrial Engineering and Engineering Management Mapúa University 658 Muralla St. Intramuros Manila 1002 Philippines Industrial Engineering Department BINUS Graduate Program-Master of Industrial Engineering Bina Nusantara University Jakarta 11480 Indonesia

The present research explores the behavioral perspective of the millennial generation on job pursuit intention on Multi-Level Marketing companies through social media. Theory of Planned Behavior (TPB) and technology Acceptance Model (TAM) are used to assess the job pursuit intention. The data were analyzed by Structural Equation Model (SEM). Analysis reveals the strong influence of attitude on job pursuit intention. The result in this research can be used as the theoretical basis that can be very beneficial for MLM companies, investors, and academicians in marketing. Further theoretical and practical suggestions are discussed.

关键词： Millennial MLM social media TPB TAM

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Analysis of factors that inhibiting implementation of information Security management System (ISMS) based on ISO 27001

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Journal of Physics: Conference Series 2018年第1期978卷

作者： R Tatiara A N Fajar B Siregar W Gunawan Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Department of information technology Universitas Sumatera Utara Medan Indonesia

The purpose of this research is to determine multi factors that inhibiting the implementation of the ISMS based on ISO 2700. It is also to propose a follow-up recommendation on the factors that inhibit the implementation of the ISMS. Data collection is derived from questionnaires to 182 respondents from users in data center operation (DCO) at bca, Indonesian telecommunication international (telin), and data centre division at Indonesian Ministry of Health. We analysing data collection with multiple linear regression analysis and paired t-test. The results are multiple factors which inhibiting the implementation of the ISMS from the three organizations which has implement and operate the ISMS, ISMS documentation management, and continual improvement. From this research, we concluded that the processes of implementation in ISMS is the necessity of the role of all parties in succeeding the implementation of the ISMS continuously.

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