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International Conference on Renewable Energies for Developing Countries (REDEC)

作者： Abdelnaser H. Dwaikat Sameer A. Abu-Eisheh Engineering Management Graduate Program An-Najah National University Nablus Palestine Faculty of Engineering and Information Technology An-Najah National University Nablus Palestine

ISBN: (数字)9781728155951

ISBN: (纸本)9781728155968

The energy sector in developing countries plays a key role in their socio-economic development. The sector is facing many challenges, including the escalating demand on energy, the high cost of fuel, importing energy or fuel from external markets, and the unreliable energy supplies. Moving towards renewable energy is also meeting difficulties, especially in terms of delivering the energy needed with reasonable costs. Strategic planning approach is utilized to guide moving towards renewable energy in the developing countries. The aim of this research is to explore the proper measures to deal with the identified key factors that affect progress towards renewable energy, and formulate a strategic framework to support shifting towards renewable energy in the developing countries. Palestine is taken as the case study that could be considered as an example of a lower-middle income developing country. Proper analysis is conducted for the energy sector in Palestine considering the SWOT approach, considering the internal status and the external environment. Based on such analysis, the proposed framework for strategic planning for renewable energy is formulated. The framework has identified the goals and objectives, as well as the strategies and actions. The output of this study would lay the foundation to debate and adopt the framework in partnership with other stakeholders. Key strategies are defined including those in the economic, technical, organizational, regulatory, and behavioural areas.

关键词： Renewable energy sources Petroleum Strategic planning Sustainable development Government

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Photodegradation of Profenofos in Aqueous Solution by Vacuum Ultraviolet

SSRN

引用

SSRN 2022年

作者： Ratpukdi, Thunyalux Siripattanakul-Ratpukdi, Sumana Thongprowh, Prapaipim Soontharo, Somphong Jenjaiwit, Supitchaya Prasertwongchai, Anuchit Anotai, Jin Nongsung, Pawonkorn Khan, Eakalak Department of Environmental Engineering Faculty of Engineering Research Center for Environmental and Hazardous Substance Management Khon Kaen University Khon Kaen40002 Thailand Department of Environmental Engineering Faculty of Engineering King Mongkut’s University of Technology Thonburi Bangkok10140 Thailand Bangkok10330 Thailand International Postgraduate Program in Environmental Management Graduate School Chulalongkorn University Bangkok10330 Thailand Department of Civil and Environmental Engineering and Construction University of Nevada Las VegasNV89154 United States

Profenofos is a widely used organophophorous pesticide for several crops and is detected in drinking water sources. This study investigated the degradation of profenofos using vacuum ultraviolet (VUV) compared with ultraviolet (UV). The factors affecting the degradation performance including pH, profenofos concentration, bicarbonate, nitrate, nitrite, natural organic matter (NOM), and aeration were examined. Profenofos removal efficiencies were 84% and 52% by VUV and UV after 7 min of irradiation, respectively (Initial profenofos concentration of 2 mg/L). Degradation of profenofos by VUV were 3 times faster than UV. The degradation rates decreased with increasing initial profenofos concentration. Direct photolysis at 185 nm and OH • played major roles for profenofos removal by VUV. Aeration enhanced the profenofos degradation and mineralization by VUV but not UV. Bicarbonate inhibited the profenofos degradation while nitrate (≤50 mg-NO 3 - /L) acted as a photosensitizer enhancing profenofos degradation. NOM from groundwater and surface water sources also inhibited the profenofos removal by VUV as high as 39% compared to deionized water. However, NOM promoted the profenofos removal by UV because degradation by OH • formed via NOM photolysis became the main degradation mechanism. The result of profenofos degradation under isolated NOM fractions elucidated that hydrophobic fractions had less inhibition compared to hydrophilic fractions. Identified products suggested the pathway of profenofos photodegradation were the breaking of the O-P bond and reduction of Br. © 2022, The Authors. All rights reserved.

关键词： Irradiation

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Automatic rigging of 3D models with stacked hourglass networks and descriptors

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AIP Conference Proceedings 2024年第1期2919卷

作者： Ritika Verma Sarthak Mittal Siddharth Pawar Moolchand Sharma Shalini Goel Victor Hugo C. de Albuquerque Department of Computer Science & Engineering MAIT GGSIPU New Delhi India HMR Institute of Technology and Management New Delhi India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceará Fortaleza/CE Brazil Department of Teleinformatics Engineering Federal University of Ceará Fortaleza/CE Brazil

We put forward an approach for automated skeleton rigging of 3D point cloud models of segmented characters. Unlike earlier systems that fit predetermined skeleton templates or forecast predetermined sets of joints, our approach generates an animation skeleton that is tuned to the structure and geometry of the input 3D model. Our architecture is built on a stack of hourglass models trained using a large dataset of 3D-rigged characters mined from the web. It works with a volumetric representation of the input 3D shapes enhanced with geometric shape elements that provide different indications for joint and bone positions. The proposed method also allows straightforward user customization of the output skeleton’s level of detail. Our study shows that, compared to many alternatives and baselines, our approach predicts animation skeletons that are significantly more comparable to those made by people.

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Generative AI-enabled Vehicular Networks: Fundamentals, Framework, and Case Study

arXiv

引用

arXiv 2023年

作者： Zhang, Ruichen Xiong, Ke Du, Hongyang Niyato, Dusit Kang, Jiawen Shen, Xuemin Poor, H. Vincent The Engineering Research Center of Network Management Technology High Speed Railway of Ministry of Education School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China The Collaborative Innovation Center of Railway Traffic Safety Beijing Jiaotong University Beijing100044 China The National Engineering Research Center of Advanced Network Technologies Beijing Jiaotong University Beijing100044 China The School of Computer Science and Engineering The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The School of Automation Guangdong University of Technology China The Department of Electrical and Computer Engineering University of Waterloo Canada The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

Recognizing the tremendous improvements that the integration of generative AI can bring to intelligent transportation systems, this article explores the integration of generative AI technologies in vehicular networks, focusing on their potential applications and challenges. Generative AI, with its capabilities of generating realistic data and facilitating advanced decision-making processes, enhances various applications when combined with vehicular networks, such as navigation optimization, traffic prediction, data generation, and evaluation. Despite these promising applications, the integration of generative AI with vehicular networks faces several challenges, such as real-time data processing and decision-making, adapting to dynamic and unpredictable environments, as well as privacy and security concerns. To address these challenges, we propose a multi-modality semantic-aware framework to enhance the service quality of generative AI. By leveraging multi-modal and semantic communication technologies, the framework enables the use of text and image data for creating multi-modal content, providing more reliable guidance to receiving vehicles and ultimately improving system usability and efficiency. To further improve the reliability and efficiency of information transmission and reconstruction within the framework, taking generative AI-enabled vehicle-to-vehicle (V2V) as a case study, a deep reinforcement learning (DRL)-based approach is proposed for resource allocation. Finally, we discuss potential research directions and anticipated advancements in the field of generative AI-enabled vehicular networks. Copyright © 2023, The Authors. All rights reserved.

关键词： Reinforcement learning

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Application of Natural Language Processing (NLP) and Text-Mining of Big-Data to Engineering-Procurement-Construction (EPC) Bid and Contract Documents

Application of Natural Language Processing (NLP) and Text-Mi...

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Conference on Data Science and Machine Learning Applications (CDMA)

作者： Youyi Kim Junghyun Lee Eul-Bum Lee Ju-Hoon Lee Graduate Institute of Ferrous Technology(Gift) Pohang University of Science and Technology (POSTECH) Pohang Korea Engineering/Design program Management Team Korea Evaluation Institute of Industrial Technology(KEIT) Daegu Korea

ISBN: (数字)9781728127460

ISBN: (纸本)9781728127477

Influenced by the innovative technological advances made in recent years, a number of major economies are increasing their national investment in building decision support systems applicable to the industrial sector. This study was conducted with government support to analyze big data in engineering accumulated from the past, develop tools for forecasting and risk management, and use them to build systems that support decision-making. The target of system development for this study is the industrial engineering sector, also known as Engineering- Procurement-Construction (EPC), and is largely divided into five modules, as follows. First, engineering design cost prediction targeted accurately predicting Man-Hour (M/H) and provided useful references to contractors and project managers by developing models that predict design costs in the engineering field. Using the M/H prediction model developed by this research, M/H under similar environments or conditions can be predicted and solutions prepared on the project start stage to manage potential risks. Second, engineering design error analysis was conducted with the purpose of helping project implementation risk management by developing a system to analyze actual design error data that occurred in past projects in order to minimize and prevent design errors. Third, engineering design change analysis was conducted to analyze amounts that could be added by changing order and preparing countermeasures in advance due to design changes occurring during the project. The system was built to support decision-making as a result of utilizing accumulated data. Fourth, engineering Invitation to Bid (ITB) analysis established a support system to efficiently perform ITB analysis and carry out new processes that automatically detect and present provisions that could pose risks. Natural Language Processing (NLP) techniques were applied to conduct the analysis, and Subject-Matter Experts (SMEs) verified the quality during the process of

关键词： Contracts Maintenance engineering Semantics Risk management Companies Decision making Text analysis

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Toxic Trace Elements Bound to Size-Fractioned Ambient Particles Down to Nanoparticles (Pm0.1): Characteristics, Sources and Health Risk Assessment

SSRN

引用

SSRN 2024年

作者： Jamhari, Anas Ahmad Rajab, Nor Fadilah Latif, Mohd Talib Wahab, Muhammad Ikram Abdul Othman, Murnira Mohd Nadzir, Mohd Shahrul Tekasakul, Perapong Hata, Mitsuhiko Furuchi, Masami School of biomedicine Faculty of Health Sciences Universiti Sultan Zainal Abidin Gong Badak Campus Terengganu Kuala Nerus21300 Malaysia Department of Earth Sciences and Environment Faculty of Science and Technology Universiti Kebangsaan Malaysia Selangor Bangi43600 Malaysia Environmental Health and Industry Safety Program Center for Toxicology and Health Risk Studies Faculty of Health Sciences Universiti Kebangsaan Malaysia Kuala Lumpur50300 Malaysia Universiti Kebangsaan Malaysia Selangor Bangi43600 Malaysia Faculty of Environmental Management Prince of Songkla University Songkhla Hat Yai90112 Thailand Graduate School of Natural Science and Technology Kanazawa University Ishikawa Kanazawa920-1192 Japan Faculty of Health Sciences Universiti Kebangsaan Malaysia Kuala Lumpur Malaysia

This study aimed to characterize the ambient nanoparticles, or PM0.1 and trace elements concentration, temporal and size distributions, potential sources, respiratory deposition and health risk assessment in an urban area of Kuala Lumpur, Malaysia, from February 2017 until 27 November 2017. The 120-h aerosol samples were collected using a Nanosampler and quantified via Inductively Couple Plasma Mass Spectrometry. The obtained findings demonstrated trace elements in aerosol dominated by Al, Fe and Mg represented 36.1%, 20.1% and 37.2% and followed by Cr and Zn with 1.6% and 2.1% from total trace elements concentration, respectively. Trace elements concentration accumulated in fine particles in order of PM1.0-2.5 > PM2.5-10 > PM0.1-0.5 > PM0.5-1.0 > PM PM>10 and varied in the order of Intermonsoon1 > Southwest > Northeast > Intermonsoon2. Enrichment factors revealed high anthropogenic Bi, Ag and Cd sources in size-fractionated particles. Principal component analysis (PCA) determined that the trace element contributions may have originated mainly from both natural and anthropogenic sources, i.e. vehicle emissions, industries and crustal elements. The largest deposition variability (78.9%) was usually observed in the respiratory system's upper airways, with the biggest contributions (38.9%) accumulated mostly in larger particles (PM2.5-10). In contrast, the greatest deposition of finer or ultrafine particles (22.1%-28.8%) in the deepest respiratory tract (alveolar). Cr and Zn deposited in all regions of the human respiratory system, providing a considerable risk to human health. Hazard index and hazard quotient value suggest that children may face greater health risks from exposure to trace elements from environmental particles than adults in all pathways. Conversely, the incremental lifetime cancer risks (ILCR) exhibited risk of adults was higher than the children group. Nevertheless, non-carcinogenic and carcinogenic health risk showed that the values for adult and ch

关键词： Aerosols

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Factors that affect the technological transition of firms toward the industry 4.0 technologies

arXiv

引用

arXiv 2022年

作者： Kim, Seung Hwan Jeon, Jeong hwan Aridi, Anwar Jun, Bogang Technology Management Economics and Policy Program Seoul National University Seoul Korea Republic of Department of Electrical Engineering Ulsan National Institute of Science and Technology Ulsan Korea Republic of Graduate School of Artificial Intelligence Ulsan National Institute of Science and Technology Ulsan Korea Republic of Finance Competitiveness and Innovation Global Practice Europe and Central Asia Unit The World Bank Group Department of Economics Inha University Korea Republic of Department of Data Science Inha University Korea Republic of Research Center for Small Businesses Ecosystem Inha University Korea Republic of

This research aims to identify factors that affect the technological transition of firms toward industry 4.0 technologies (I4Ts) focusing on firm capabilities and policy impact using relatedness and complexity measures. For the analysis, a unique dataset of Korean manufacturing firms’ patent and their financial and market information was used. Following the Principle of Relatedness, which is a recently shaped empirical principle in the field of economic complexity, economic geography, and regional studies, we build a technology space and then trace each firm’s footprint on the space. Using the technology space of firms, we can identify firms that successfully develop a new industry 4.0 technology and examine whether their accumulated capabilities in their previous technology domains positively affect their technological diversification and which factors play a critical role in their transition towards industry 4.0. In addition, by combining data on whether the firms received government support on R&D activities, we further analyzed the role of government policy in supporting firms’ knowledge activity in new industry 4.0 technologies. We found that firms with higher related technologies and more government support are more likely to enter new I4Ts. We expect our research to inform policymakers who aim to diversify firms’ technological capabilities into I4Ts. © 2022, CC BY.

关键词： Industry 4.0

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Adoption of renewable energy sources and sustainable performance in palestinian industrial and commercial sectors with governmental role as a moderator: An explanatory approach

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Journal of Open Innovation: technology, Market, and Complexity 2023年第3期9卷

作者： Salem, Isra’ Saleh, Yahya Alsayed, Mohammed F. Assaf, Ramiz Kanan, Mohammad Musleh Al-Sartawi, Abdalmuttaleb M.A. BinSaddig, Ruaa Engineering Management Master Program Faculty of Graduate Studies An-Najah National University P.O. Box 7 Nablus Palestine Department of Industrial Engineering An-Najah National University P.O. Box 7 Nablus Palestine Department of Energy Engineering and Environment An-Najah National University P.O. Box 7 Nablus Palestine Industrial Engineering Department University of Business and Technology (UBT) Mecca Jeddah Saudi Arabia Accounting Finance and Banking Department Ahlia University Bahrain Dean of Scientific Research University of Business and Technology Saudi Arabia

Renewable energy has attained enormous attention in recent years due to the exhaustion of many energy resources, and the pollution caused by fossil fuels. However, the adoption of renewable energy sources (RESs) is a complicated process influenced by multifarious factors. This study aims to investigate factors influencing the adoption of RESs by the Palestinian industrial and commercial sectors and their effect of this adoption on sustainable performance, besides examining if the government plays a role in moderating the relationship between the adoption of RESs and such sustainable performance. To this end, a quantitative method was used to collect data through questionnaires from 100 top managers in the Palestinian commercial and industrial sectors. The data analysis was conducted using the Smart PLS software to test the formulated hypotheses. The findings support the positive relationship between the adoption of RESs and sustainable performance. There is also a positive relationship between the adoption of RESs and the government's role. However, the relationship between the government's role and sustainable performance is not established, but the government's role is found to be a moderator between adopting RESs and sustainable performance. © 2023 The Authors

关键词： Government's role Industrial and commercial sectors Renewable energy sources (RESs) Sustainable performance

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Comparative Study of Available Fuels for Boiler Selection

Comparative Study of Available Fuels for Boiler Selection

引用

2019 International Conference on Power, Energy and Innovations, ICPEI 2019

作者： Kongsuk, Rungnapa Boonpramote, Thitisak Chulalongkorn University Energy Technology and Management Program Graduate School Bangkok Thailand Chulalongkorn University Department of Mining and Petroleum Engineering Faculty of Engineering Bangkok Thailand

ISBN: (纸本)9781728152660

The ethanol manufacturing plant located in Phanomsarakham district, Chachoengsao province east of Thailand. The plant requires to improve the process by replacing a new boiler with capacity for generating 30 tons per hour of saturated steam. The boiler selection process is determining the steam required for the process, then determine the fuels available and their usability after that compare different types of boiler and finish the process with boiler purchasing. There are four available fuels in the area where the case study plant located are bituminous coal, wood, fuel oil C, and LPG. Consider by compared the heating value, fuel required to consume by the boiler and reference of each. The most possibility of fuel for the case study plant is bituminous coal. © 2019 IEEE.

关键词： Boilers

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Plasmonic excitations in graphene layers

arXiv

引用

arXiv 2025年

作者： Martín-Luna, Pablo Bonatto, Alexandre Bontoiu, Cristian Lei, Bifeng Xia, Guoxing Resta-López, Javier Universitat de València - Consejo Superior de Investigaciones Científicas Paterna46980 Spain Graduate Program in Information Technology and Healthcare Management The Beam Physics Group Federal University of Health Sciences of Porto Alegre RS Porto Alegre90050-170 Brazil Department of Physics The University of Liverpool LiverpoolL69 3BX United Kingdom The Cockcroft Institute Sci-Tech Daresbury WarringtonWA4 4AD United Kingdom Department of Physics and Astronomy The University of Manchester ManchesterM13 9PL United Kingdom Universidad de Valencia Valencia46071 Spain

The interaction of fast charged particles with graphene layers can generate electromagnetic modes. This wake effect has been recently proposed for short-wavelength, high-gradient particle acceleration and for obtaining brilliant radiation sources. In this study, the excitation of wakefields produced by a point-like charged particle moving parallel to a multilayer graphene array (which may be supported by an insulated substrate) is studied using the linearized hydrodynamic theory. General expressions for the excited longitudinal and transverse wakefields have been derived. The dependencies of the wakefields on the positions of the layers and the substrate, the velocity and the surface density have been extensively analyzed. This study provides a deeper understanding of the physical phenomena underlying plasmonic excitations in graphene layers, paving the way for potential applications of these structures in particle acceleration, nanotechnology and materials science. © 2025, CC BY-NC-ND.

关键词： Plasmons

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