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Enhancing Data Preservation and Security in Industrial Control systems through Integrated IOTA Implementation

Processes 2024年第5期12卷 921页

作者： Lin, Iuon-Chang Tseng, Pai-Ching Chen, Pin-Hsiang Chiou, Shean-Juinn Department of Management Information Systems National Chung Hsing University Taichung40277 Taiwan Ph.D. Program of Business Feng Chia University Taichung40724 Taiwan Natures Bank Exchange Co. Ltd. Taichung40724 Taiwan Department of Mechanical Engineering National Chung Hsing University Taichung40227 Taiwan

Within the domain of industrial control systems, safeguarding data integrity stands as a pivotal endeavor, especially in light of the burgeoning menace posed by malicious tampering and potential data loss. Traditional data storage paradigms, tethered to physical hard disks, are fraught with inherent susceptibilities, underscoring the pressing need for the deployment of resilient preservation frameworks. This study delves into the transformative potential offered by distributed ledger technology (DLT), with a specific focus on IOTA, within the expansive landscape of the Internet of Things (IoT). Through a meticulous examination of the intricacies inherent to data transmission protocols, we present a novel paradigm aimed at fortifying data security. Our approach advocates for the strategic placement of IOTA nodes on lower-level devices, thereby streamlining the transmission pathway and curtailing vulnerabilities. This concerted effort ensures the seamless preservation of data confidentiality and integrity from inception to storage, bolstering trust in the convergence of IoT and DLT technologies. By embracing proactive measures, organizations can navigate the labyrinthine terrain of data management, effectively mitigate risks, and cultivate an environment conducive to innovation and progress. © 2024 by the authors.

关键词： Internet of things

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Measuring Consumer Willingness to Enroll in Battery Electric Vehicle Smart Charging programs

Measuring Consumer Willingness to Enroll in Battery Electric...

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IEEE Conference on Vehicle Power and Propulsion (VPPC)

作者： Pingfan Hu Brian Tarroja Matthew Dean Kate Forrest Eric Hittinger Alan Jenn John Paul Helveston Department of Engineering Management and Systems Engineering George Washington University Washington DC USA Department of Civil and Environmental Engineering University of California Irvine Irvine CA USA Advanced Power and Energy Program University of California Irvine Irvine CA USA Department of Public Policy Rochester Institute of Technology Rochester NY USA Institute of Transportation Studies University of California Davis Davis CA USA

ISBN: (数字)9798331541606

ISBN: (纸本)9798331541613

As Battery Electric Vehicles (BEVs) gain popularity, managing their charging becomes crucial for grid stability. Smart charging programs can help utilities manage this demand and integrate more renewable energy by controlling when and how BEVs are charged. However, these programs require participation from BEV owners, who may be hesitant to freely provide such control. This study uses a discrete choice experiment (also called conjoint analysis) to measure BEV owners' willingness to participate in smart charging programs under various incentives and features. We examine two types of smart charging: Supplier-Managed Charging (SMC), which controls charging times, and Vehicle-to-Grid (V2G), allowing BEVs to return power to the grid. In an online survey conducted via Facebook and Instagram ads, we collected 858 valid responses, with 815 responses for SMC program choices and 414 for V2G program choices. We used mixed logit (MXL) models to quantify respondents' willingness to participate. The findings indicate a general reluctance to participate in both programs without some form of incentive, with respondents being most sensitive to recurring monetary incentives. For SMC, there is also concern about ensuring sufficient battery levels in the mornings. Simulations were conducted to predict enrollment rates based on different program features. Additional data will be collected to refine the models in the coming months.

关键词： Surveys Vehicle-to-grid Renewable energy sources Analytical models Power system stability Data models Stability analysis Batteries Web sites Smart charging

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COMPETITIVE ADVANTAGE MODEL THROUGH KNOWLEDGE management systems IMPLEMENTATION TO OPTIMIZE BUSINESS SUSTAINABILITY 9

COMPETITIVE ADVANTAGE MODEL THROUGH KNOWLEDGE MANAGEMENT SYS...

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9th International Conference on Information Technology: IoT and Smart City, ICIT 2021

作者： Sardjono, Wahyu Lusia, Erma Utomo, Hargo Sukardi, Samudra Rahmasari, Aninda Regent Montororing, Yuri Delano Information Systems Management Department Binus Graduate Program Bina Nusantara University Indonesia Research Capacity Building Research & Development Bina Nusantara University Indonesia Department of Management Faculty of Economic and Business Gajah Mada University Indonesia Graduate Program Faculty of Economy and Business University of Indonesia Indonesia International Relations Department Faculty of Humanities Bina Nusantara University Indonesia Industrial Engineering Study Program Bhayangkara University Indonesia

ISBN: (纸本)9781450384971

Complaint resolution that arise due to internal and external factors in a company can be monitored through the Service Recovery Index (SRI), and SRI is developed through a number of factors that influence it. Meanwhile, the SRI model needs to be developed to see the business sustainability through implementation knowledge management system in the organization. The data collection method was carried out, starting with building a research instrument based on knowledge management theory and continued with observation and distributing questionnaires to respondents who were involved in the business process of managing SRI. The data analysis method was used to process the data from the questionnaire, factor analysis method was used and the method to build the model used was the regression analysis method. The results obtained from this study are the discovery of 4 (four) factors with a number of indicators that are grouped on each formed factor, which can then be made and built a readiness model that reflects current conditions, so that it can be used to build predictions in the future related to readiness. implementation of knowledge management system development in order to support increased understanding of the service recovery index in the organization. © 2021 ACM.

关键词： Knowledge management

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Portfolio Selection and Comparative Portfolio Analysis of Transportation Services, Hotel and Leisure, and Education Subsectors Against Service Sector in the Philippine Market Using Mean-variance Model

Portfolio Selection and Comparative Portfolio Analysis of Tr...

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IEEE International Conference on Industrial engineering and engineering management

作者： E. L. Cruz M. N. Young T. N. Chuahay Y. Prasetyo S. Persada R. Nadilfatin M. Contreras School of Industrial Engineering and Engineering Management Mapua University Manila Philippines School of Graduate Studies Mapua University Manila Philippines Department of Finance Chung Yuan Christian University Taoyuan City Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan City Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan City Taiwan Entrepreneurship Business Creation Business School Binus University West Jakarta Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (数字)9798350386097

ISBN: (纸本)9798350386103

This paper presents a framework for portfolio selection in the transportation services, hotel and leisure, and education subsectors of the Philippine market using the mean-variance model. Using the service sector and the broader market as benchmarks, this study spans 7,670 test days from January 1, 1993, to December 31, 2022, identifying optimal risk-return factors (RRFs) of $\mathbf{0. 4}$ for transportation, 0.2 for hotel and leisure, and 0.3 for education. Furthermore, the higher percentage allocations the investors are recommended to invest in are International Container Terminal Services, Inc., Waterfront Philippines, Incorporated, and Far Eastern University, Incorporated. Paired t-test results, with p-values below 0.01 and 0.05, indicate these subsectors can outperform the service sector. The study also conducted a comparative analysis with 30-year historical data to crisis periods like the Global Financial Crisis (GFC) and the COVID-19 pandemic, exhibiting distinct performance trends and emphasizing the need for tailored strategies during economic disruptions. The findings of this research may provide an alternative portfolio selection model for investors seeking to optimize their investment portfolios.

关键词： COVID-19 Analytical models Pandemics Education Transportation Stability analysis Resource management Stock markets Portfolios Resilience

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IoT Attack Detection and Prevention Through Machine Learning System 2

IoT Attack Detection and Prevention Through Machine Learning...

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2nd IEEE International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023

作者： Agrawal, Kanishk Poli, Pavan Kumar Reddy Gupta, Yash Juneja, Garv Bopaiah, Adhip Kishen Arani, Dinesh Ashok Cse Manglayatan University Department of Iet Uttar Pradesh Aligarh India Managing Information Technology Implementations Program Management for Fortune 6 Healthcare Company United States Birla Institute of Technology and Science Department of Computer Science and Information Systems Pilani India Maharaja Surajmal Institute of Technology Guru Gobind Singh Indraprastha University Department of Computer Science and Engineering Delhi India Trinity College Bangalore India Manglayatan University Uttar Pradesh Aligarh India

ISBN: (纸本)9798350369960

Attacks on web applications are constantly growing in both frequency and severity. Abundant data on the internet stimulates hackers to attempt different types of cyberattacks. Attack detection using conventional approaches and outdated data processing techniques has become outmoded as a result of this development. The purpose of this study is to investigate IoT attacks and discuss the efficient ML technique implementation strategies for restricting security risks. Among different security techniques, Machine learning (ML) systems demonstrated commendable feasibility in improving network and device security for the Internet of Things. The study with contextual research recognises and comprehends that modified 'Support Vector Machine (SVM)' as well as 'Random Forest (RF)' ML techniques showed optimal performance in IoT attack detection and prevention. © 2023 IEEE.

关键词： Anomaly detection and Cyber security Internet of Things Machine learning

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Performance Analysis of Building Integrated Photovoltaic (BIPV): MANOVA Analysis

Performance Analysis of Building Integrated Photovoltaic (BI...

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Solar Conference (MENA-SC), Middle East and North Africa

作者： Wadhah Alzahmi Alyaa Alyaarbi Tahani Alnaqbi Ayman Alzaatreh Dubai Electricity and Water Authority Dubai United Arab Emirates Department of Industrial Engineering Engineering Systems Management Program American University of Sharjah Sharjah Sharjah United Arab Emirates Department of Mathematics and Statistics College of Arts and Sciences American University of Sharjah Sharjah Sharjah United Arab Emirates

Global energy consumption has increased over the years due to population growth, economic expansion, and the pursuit of a higher quality of life. The building sector is a critical sector for high consumption, contributing to about 36% of the total global energy consumption in 2020. The global interest in reducing energy consumption allows different sectors to adopt renewable resources such as solar photovoltaics (PV). However, utilizing solar PV in buildings has limitations due to rooftop space constraints in newly designed buildings. Due to this limitation and continuous innovation in solar PV technologies, Building Integrated Photovoltaics (BIPV) have been introduced as a potential alternative for solar PV in buildings. As such, BIPV energy performance and panel temperatures are affected by many factors such as orientation setup and technology type. Therefore, this research aims to analyze the impact of technology type (indium gallium selenide (CIGS) and monocrystalline (MONO) & orientation on BIPV energy production & module temperature. The data used for this study is based on a project completed in Dubai for BIPV in building applications. The results indicate that BIPV type and system orientation during each session significantly affect BIPV energy production and BIPV module temperature.

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Photoresponse of Thermally Evaporated Copper Oxide-Based Solar Cells

Photoresponse of Thermally Evaporated Copper Oxide-Based Sol...

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Solar Conference (MENA-SC), Middle East and North Africa

作者： Abdul Hai Alami Mohamad Ayoub Adnan Alashkar Shamma Alasad Ayman Mdallal Siren Khuri Haya Aljaghoub Sustainable and Renewable Energy Engineering Department Sustainable Energy & Power Systems Research Centre University of Sharjah Sharjah United Arab Emirates Materials Science and Engineering PhD Program American University of Sharjah Sharjah United Arab Emirates Mechancial Engineering Department American University of Sharjah Sharjah United Arab Emirates Sustainable Energy & Power Systems Research Centre University of Sharjah Sharjah United Arab Emirates Industrial Engineering and Engineering Management Department University of Sharjah Sharjah United Arab Emirates

This study reports on the fabrication and characterization of a copper oxide (CuO)-based photoactive cell. Copper was thermally evaporated onto two substrates and post-treated using chemical and thermal treatments to obtain different semiconducting types of CuO. Absorption measurements were conducted to obtain the bandgaps of CuO, which were found to be 1.51 eV and 1.21 eV, for the chemically and thermally treated CuO, respectively. Finally, a chronoamperometry test was conducted to confirm the photoresponse of the cell, which showed a doubling of output current values under light conditions compared to dark conditions.

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Analysis of the motivations for ISO 9001:2015 adoption in the Brazilian business context

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Quality management Journal 2021年第2期28卷 76-85页

作者： Siltori, Patricia F. S. Rampasso, Izabela Simon Martins, Vitor W. B. Anholon, Rosley Silva, Dirceu Souza Pinto, Jefferson Leal Filho, Walter School of Mechanical Engineering University of Campinas Campinas Brazil PNPD/CAPES Program Doctoral Program in Sustainable Management Systems Federal Fluminense University Niterói Brazil Department of Production Engineering State University of Pará Belém Brazil Faculty of Education University of Campinas Campinas Brazil Federal Institute of São Paulo Bragança Paulista Brazil Faculty of Life Sciences Hamburg University of Applied Sciences Hamburg Germany

This study aims to analyze the reasons that motivate Brazilian companies to implement Quality management systems, according to ISO 9001:2015 requirements. Based on information collected in the literature, a questionnaire was developed and answered by professionals that work with the mentioned standard in their companies. An Exploratory Factor Analysis was conducted with the collected data to group the validated variables into two constructs that present the most part of information variance. These constructs were entitled “internal improvements related motives” and “market related motives”. The findings of this research confirm and complement previous studies performed in Brazil and in other countries. © 2021 American Society for Quality.

关键词： Adoption motives ISO 9001 motivation quality management

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Towards Circular Economy in the Built Environment: Overcoming Obsolescence Via Building Adaptation

SSRN

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SSRN 2022年

作者： Eliote, Guilherme Monteiro Leite, Fernanda Construction Engineering and Project Management Program Department of Civil Architectural and Environmental Engineering The University of Texas at Austin 301 E. Dean Keeton St. Stop C1752 AustinTX78712-1094 United States Construction Engineering and Project Management Program Sustainable Systems Program Department of Civil Architectural and Environmental Engineering The University of Texas at Austin 301 E. Dean Keeton St. Stop C1752 AustinTX78712-1094 United States

Every year, buildings undergo services of adaptation to account for changes in users’ needs, deterioration, code updates, among others. This process, also called building obsolescence, is inevitable and most of these buildings lack a proactive adaptation plan. New buildings, however, can be designed to be more resilient when dealing with obsolescence by leveraging circular economy principles. The understanding of building obsolescence is crucial since they are the triggers of a process of adaptation. Studies have investigated different types of building obsolescence but have not focused on specific causes. Through qualitative analysis of interviews, we identified challenges faced by Architecture, engineering, and Construction professionals in the building adaptation process. Recommendations to tackle these challenges were given, including the selection of durable materials, overdesign of key elements, design for disassembly, and use of modular systems. The research findings can help planners avoid common issues that harm the building adaptation process. © 2022, The Authors. All rights reserved.

关键词： Obsolescence

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A Transdisciplinary Socio-Technical systems Approach: Wireless Solutions for the Digital Divide

A Transdisciplinary Socio-Technical Systems Approach: Wirele...

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Annual IEEE systems Conference

作者： Shamsnaz Virani Bhada Casey Canfield Alexander Wyglinski Systems Engineering Program Worcester Polytechnic Institute Worcester MA Engineering Management & Systems Engineering Missouri University of Science & Technology Rolla MO USA Worcester Polytechnic Institue Worcester MA USA

The digital divide limits access to education, employment, and healthcare - particularly in rural areas. Unfortunately, most wireless solutions have been developed for urban and suburban environments. However, by using transdisciplinary systems approaches, we can highlight gaps and opportunities to resolve this divide by addressing technology, policy, and community challenges. By creating a digital entity to represent the problem space, we can tailor solutions to specific scenarios.

关键词： Wireless communication Sociotechnical systems Navigation Employment Medical services Tools Digital divide

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