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Supply Chain Sustainability in Disruption: SC Intelligence, Customer Knowledge Transfer, and the Mediating Role of IS/IT

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IEEE engineering Management Review 2025年

作者： Ratna, Silvia Saide, Saide Rater, Salya Svyazhanovna, Baizakova Saule Herzavina, Herzavina Faculty of Information Technology Department of Informatics Engineering and Department of Information Systems Banjarmasin Indonesia State Islamic University of Sultan Syarif Kasim Riau Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau Department of Information Systems Faculty of Science and Technology Indonesia PRO Knowledge Indonesia Pekanbaru Indonesia Universitas Pahlawan Tuanku Tambusai Indonesia Lembaga Enreach UIN Suska Riau Indonesia Politeknik Aceh Selatan Department of Informatics Engineering Aceh Indonesia Information Communication Technologies Robotics in Arkalyk Pedagogical Institute Master of Natural Sciences Educational Program for the Informatics Computer Science Kazakhstan Universitas Pahlawan Tuanku Tambusai Department of Informatics Engineering Indonesia National Taiwan University of Science and Technology Taiwan

Knowledge resource and information system/technology (IS/IT) capability have been considered to improve firm performance, however there is still a gap regarding the sustainability of supply chain to face and recover from disruption (e.g., COVID-19). Questionnaire-based surveys was adopted and received feedback from sixty (160) Indonesian companies or about 28.07% of response rate. © 1973-2011 IEEE.

关键词： customer knowledge transfer disruption information system/technology (IS/IT) responding knowledge management resource-based view (RBV) Supply chain (SC) sustainability supply chain knowledge transfer

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Low-cost real-time environmental noise monitoring system design and implementation

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International Journal of Environmental Studies 2024年第3期81卷 1045-1057页

作者： Hamamcı, Samet Feyyaz Doğru, Ahmet Özgür Graduate School Geographical Information Technologies PhD Program Istanbul Technical University Istanbul Turkey Faculty of Civil Engineering Department of Geomatics Engineering Istanbul Technical University Istanbul Turkey

Environmental noise has a negative impact on human health and well-being. Real-time noise monitoring for effective noise control and management helps to identify noise sources and areas with high noise pollution, and potential mitigation strategies in urban planning. This paper reports work with a pilot scale system that can continuously collect noise data to assess noise levels accurately for real-time monitoring of environmental noise, focusing on hardware and software aspects and potential applications. The system permits the transfer of measurement data to the central server computer, with storage and display there, with the code written using Python. This system includes Web integration, with open source technologies to provide data access, and is based on Wi-Fi communication and a Control Card with Wi-Fi technology. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Noise pollution

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ICIP 2016 Report

ICIP 2016 Report

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作者： Ogawa, Takahiro Yamasaki, Toshihiko Division of Media and Network Technologies Graduate School of Information Science and Technology Hokkaido University Sapporo Japan Department of Information and Communication Engineering Graduate School of Information Science and Technology University of Tokyo Tokyo Japan

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Dynamic Routing, Spatial Channel and Spectrum Assignment (RSCSA) in Spatial Channel Networks (SCNs)

Dynamic Routing, Spatial Channel and Spectrum Assignment (RS...

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2023 Asia communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Zheng, Yu Zheng, Weichang Yang, Mingcong Zhang, Yongbing Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan China Department of R&D Huawei Technologies Wuhan China

In this paper, we propose a dynamic RSCSA algorithm that employs a granularity switching threshold to efficiently switch between spatially bypassed and spectrally groomed space lanes depending on the request demand in... 详细信息

ISBN: (纸本)9798350312614

关键词： granularity switching threshold routing SCN technologies spatial channel and spectrum assignment

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A light-weight ranger intrusion detection system on wireless sensor networks

A light-weight ranger intrusion detection system on wireless...

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5th International Conference on Genetic and Evolutionary Computing, ICGEC2011

作者： Hsieh, Chia-Fen Huang, Yung-Fa Chen, Rung-Ching Graduate Institute of Informatic Doctoral Program Choayang University of Technology Taichung Taiwan Department of Information and Communication Engineering Choayang University of Technology Taichung Taiwan Department of Information Management Choayang University of Technology Taichung Taiwan

ISBN: (纸本)9780769544496

In recent years, a lot of research concerns with the wireless sensor networks (WSN). With the increasing usages of WSN applications such as health care and disaster reporting, security requirements, wireless communication has become more critical. Researchers of intrusion detection system on WSN have suggested that systems' detecting mechanisms would likely affect their detections effective and lifetime of whole networks. Ontology can collect and organize the attributes of attacks However, those methods have empirically documented the link between ontology concept and lightweight Intrusion Detection System (IDS) is scant. Therefore, the aim of this paper attempts to explore how intrusion detection system about ontology and light-weight IDS are related. The manager constructs relationship of sensor nodes on ontology to detect Sybil attack. Combine light-weight IDS the ranger method to reduce energy consumption and the isolation tables avoid detecting anomaly repeatedly. We proposed a lightweight ontology-based IDS, which improves existence shortcomings of IDS on WSN effectively. © 2011 IEEE.

关键词： Ontology

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Identification of Pre-University Factors that Affect the Initial Motivation of Students in Computing programs: A multi-institutional case study 48

Identification of Pre-University Factors that Affect the Ini...

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48th Frontiers in Education Conference, FIE 2018

作者： Schoeffel, Pablo Wazlawick, Raul Sidnei Ramos, Vinicius Faria Culmant Vahldick, Adilson Souza, Marcelo De Graduate Program in Computer Science Federal University of Santa Catarina Florianópolis Brazil Department of Information and Communication Technologies Federal University of Santa Catarina Araranguá Brazil Departament of Software Engineering University of Santa Catarina State Ibirama Brazil

ISBN: (纸本)9781538611739

This Research to Practice Paper presents the results of the evaluation of pre-university factors that impact the initial motivation of undergraduate students in computing. Although there are studies in the literature that have investigated some previous factors, this paper replicates a previous work that aims to consolidate several pre-university factors and, as the main differential, uses the AMS (Academic Motivation Scale), a scale already consolidated in the literature to measure students' initial motivation, and evaluate the relation between motivation and candidate factors. We applied a questionnaire to 159 students from different computing programs in ten universities, which evaluates 20 factors divided into 4 groups: personal and demographic data, taste and knowledge of the program and area, computing experience, and school performance. To evaluate the correlation between factors and motivation, we used Spearman's coefficient, t-student test, and ANOVA to evaluate the correlation between factors and motivation. As main results, we found significant variation in the initial motivation according to following factors: taste for programming and technology, knowledge about the undergraduate program content, correct perception about computing professionals, knowledge and experience in computer programming, and general school performance. © 2018 IEEE.

关键词： Motivation

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Evaluation of an Instrument to Identify Factors that Impact the Motivation and Engagement of Undergraduate Students in Computing 48

Evaluation of an Instrument to Identify Factors that Impact ...

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48th Frontiers in Education Conference, FIE 2018

ISBN: (纸本)9781538611739

This Research Paper presents the evaluation of an instrument to identify the impact of motivation and engagement factors in undergraduate students in computing. Although researches indicate a direct impact of motivation and engagement on student performance and retention, few studies have been found that address which factors are relevant in this process. The instrument is a questionnaire based on the compilation of several works of the literature containing 48 items divided into 6 groups: personal and demographic data, general perception about motivation, perception about the university, student behavior, perception about program and perception about classes/teachers. The questionnaire evaluation is based on a case study with 112 undergraduate students in Software engineering. As a result, we found that the questionnaire can be considered reliable (Cronbach's alpha = 8904). Considering the validity of constructs, we found an acceptable degree of correlation between the most pair of items in each group (averaging 63%). We also found that the item-total correlation coefficient was only not adequate for one factor group, indicating satisfactory correlation for all other items. Finally, we found that the number of factors is coherent, but there are several items from different groups strongly correlated, indicating the need for a reorganization. © 2018 IEEE.

关键词： Students

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information and communications Security 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Javier Lopez Sihan Qing Eiji Okamoto

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The matter of deep reinforcement learning towards practical ai applications 12

The matter of deep reinforcement learning towards practical ...

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12th International Conference on Ubi-Media Computing, Ubi-Media 2019

作者： Thaipisutikul, Tipajin Chen, Yi-Cheng Hui, Lin Chen, Sheng-Chih Mongkolwat, Pattanasak Shih, Timothy K. Department of Computer Science and Information Engineering National Central University Taiwan Department of Information Management National Central University Taiwan Department of Innovative Information and Technology Tamkang University Taiwan Master's Program of Digital Content and Technologies College of Communication National ChengChi University Taiwan Faculty of Information and Communication Technology Mahidol University Thailand

ISBN: (纸本)9781728128207

Reinforcement Learning (RL) is an extraordinarily paradigm that aims to solve a complex problem. This technique leverages the traditional feedforward networks with temporal-difference learning to overcome supervised and unsupervised real-world problems. However, RL is one of state-of-the-art topic due to the opaque aspects in design and implementation. Also, in which situation we will get performance gain from RL is still unclear. Therefore, This study firstly examines the impact of Experience Replay in Deep Q-Learning agent with Self-Driving Car application. Secondly, The impact of Eligibility Trace in RNN A3C agents with Breakout AI game application is studied. Our results indicated that these two techniques enhance RL performance by more than 20 percent as compared with traditional RL methods. © 2019 IEEE.

关键词： Reinforcement learning

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Routing and Spectrum Assignment in Spatial Channel Network-Based Inter-Datacenter Networks

Routing and Spectrum Assignment in Spatial Channel Network-B...

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2023 Asia communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Zheng, Weichang Zheng, Yu Yang, Mingcong Yang, Kun School of Information and Communication Engineering Yangtze Delta Region Institute University of Electronic Science and Technology of China Quzhou China Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan Huawei Technologies Department of R&d Wuhan China School of Information and Communication Engineering University of Electronic Science and Technology of China Sichuan China

We introduce spatial channel networks (SCNs) to the interconnection of data center networks (DCNs). We propose an integer linear programming (ILP) model to solve the routing and spectrum assignment problem for SCN-bas... 详细信息

ISBN: (纸本)9798350312614

关键词： datacenter network (DCN) integer linear programming (ILP) routing and spectrum assignment Spatial channel network (SCN)

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