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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Kishi, Shinnosuke Kotani, Hitomu Matsushima, Kakuya Graduate School of Engineering Kyoto University Department of Urban Management Kyoto Japan Graduate School of Global Environmental Studies Kyoto University Department of Natural Resources Kyoto Japan

ISBN: (纸本)9798350337020

The diffusion of electric vehicles (EV s) is affected by the spread of EV public charging stations (PCSs) and vice versa. Their interactions are often referred to as 'indirect network effects' and analyzed with a two-sided market model. However, the consumer adoption of home charging stations (HCSs), which are considered key drivers of EV deployment, is often ignored. By modeling a two-sided market of EVs and PCSs (i.e., indirect network effects) under the adoption of HCSs, this study explores the EV diffusion process and considers effective strategies for its spread. We examine two cases: in the first, consumer adoption is determined exogenously;in the second, it is determined endoge-nously. In each case, we vary the strength of the indirect network effects, which correspond to the drivers' concern, referred to as 'range anxiety.' Through numerical simulations, we evaluate the market shares of EVs, HCSs, and PCSs, as well as social welfare. Our findings have strategic implications for policymakers seeking to increase the market share of EV s in the presence of different types of charging stations without negative social impacts. © 2023 IEEE.

关键词： Electric vehicles home charging stations indirect network effects public charging stations simulation two-sided market

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Dry-season sources of riverine sediment from the tropical mixed urban-agricultural watershed of the Mun River Basin in northeastern Thailand

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International Journal of Sediment Research 2023年第2期38卷 240-252页

作者： Arika Bridhikitti Thayukorn Prabamroong Gaohuan Liu Environmental Engineering and Disaster Management Program School of Interdisciplinary Studies Mahidol University Kanchanaburi Campus Earth Science Research Center Mahidol University Kanchanaburi Campus Faculty of Environment and Resource Studies Mahasarakham University State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences

Northeastern(NE) Thailand is well recognized as the land for rice cropping and consequently, it is potentially contaminated with chemicals from soil fertilization, pest/weed control, and urban *** Mun River basin in NE Thailand principally is comprised of rice paddies and sedimentation in the river has been pronounced, but the studies on sediment source identification are limited. The current study aims to identify sediment sources in the Mun River basin and discuss possible impacts on ecosystems attributed to exposure to polluted sediment. The assessment relies upon physicochemical properties and heavy metal contents(iron(Fe), manganese(Mn), copper(Cu), chromium(Cr), nickel(Ni),and Zinc(Zn)) in the fine-grained sediment(<63 μm) taken from the Mun River basin and the Chi River in the dry season of 2020-2021. The findings revealed that the heavy metals in the sediment had not accumulated to levels of concern. Most sediment was from natural sources, including Fe-and Mn-rich sediment, Cr-dominant sediment, and Ni-and Cu-rich sediment. Fe-and Zn-rich sediment was, however, found in the urban watershed of Lam Ta Klong, and it could originate from mixed urban sources. Ferich sediment was predominant in the Mun River basin, which and could be a significant sink and source of toxic elements from agricultural and urban discharges. It is suggested that the toxic compounds in the sediment should be consistently monitored, whereas ecological and health risk assessment should be focused on the mobile forms.

关键词： Sediment Heavy metals Mun River Lower Mekong River Agriculture

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An appropriate combination of a thinning schedule and subsidies to realize sustainable Makino bamboo forest management

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Journal of Forest Research 2025年第1期30卷 22-34页

作者： Chen, Ying-Ta Wang, Pei-Jung Cheng, Chen-Kuang Chang, Ching-Ter Department of Forestry and Natural Resources National Ilan University Yilan Taiwan Forest Management Division Taiwan Forestry Research Institute Taipei Taiwan Vice GM Binary Tree Co North Taiwan Department and Graduate Institute of Information Management Chang Gung University Shan Taiwan Clinical Trial Center Chang Gung Memorial Hospital Taoyuan Taiwan Department of Industrial Engineering and Management Ming Chi University of Technology Taipei Taiwan

This study addresses the relationship between subsidies and thinning operations in Makino bamboo forests, with implications for sustainable timber production management. Focusing on indigenous lands in Taoyuan, North Taiwan, where 85% of bamboo is cultivated, with a 70% coverage constraint, and the government provides an annual subsidy of NT$30,000 per hectare. Three scenarios, minimizing subsidies, thinning rates, and maximizing profits, are analyzed using linear and multi-choice goal program techniques. Results indicate that a company with 5 laborers can clear-cut 15,000 culms/ha in 22 days, yielding a profit of NT$101,150. Without subsidies, a minimum 34% thinning rate ensures financial viability. Sensitivity analysis reveals that NT$29,345 in subsidies with a 70% thinning rate matches clear-cutting profits, validating the effectiveness of the existing NT$30,000 compensation policy. Recommendations propose a two-phase thinning program for sustainable Makino bamboo forest management. The first phase involves a 70–75% thinning rate in the first year, leaving one-year-old bamboo. The second phase, starting from the fourth year, harvests 3 and 4-year-old bamboo every two years, covering 50% of the bamboo forest. This phased approach, covering 24 hectares, establishes a win-win situation for the Forest Bureau and bamboo forest managers. © 2024 The Japanese Forest Society.

关键词： Forestry

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Creating Mathematical Models to Help Formulate Company Strategies for Knowledge management System Implementation 9

Creating Mathematical Models to Help Formulate Company Strat...

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9th International Conference on Information management and Technology, ICIMTech 2024

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Pranata, Dewi Sagita BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta13220 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics Strands West MinsterWC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

This research aims to build a mathematical model to formulate the problems of implementing knowledge management systems in companies that often face obstacles in achieving the desired objectives and goals. With increasing competition in the business sector, organizations or organizations realize the importance of utilizing the knowledge assets that reside in each individual and organization. If this knowledge can be managed optimally, it can become a competitive advantage for the company due to the emergence of innovative ideas by the concepts of knowledge management theory. By implementing optimal knowledge management (KM), companies can design innovative solutions to improve business operations and increase overall revenue. The factor analysis method will be used to find the determining factors for the success of the implementation of knowledge management systems (KMS) and the regression analysis method will also be used to form a mathematical model of several new factors which are formed as independent variables with the current level of community understanding of KMS as the dependent variable. The research results provide insight into strategies to improve success factors to successfully facilitate KMS implementation. This study contributes to existing knowledge management by providing insight into dynamics that go beyond the technical aspects of KMS, ultimately developing strategies for more effective and efficient utilization of knowledge and organizational growth and supporting competitive advantage for companies. © 2024 IEEE.

关键词： Knowledge organization system (KOS)

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Surface water availability in ungauged catchments of Sub-Saharan Africa: A case study from Luwombwa sub-catchment, Zambia

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Water Science 2025年第1期39卷 42-57页

作者： Mwelwa, Dickson Tena, Tewodros M. Nguvulu, Alick Mwaanga, Phenny Taye, Gebeyehu School of Graduate Studies Copperbelt University Kitwe Zambia Federal Institute for Geosciences and Natural Resources (BGR) Lusaka Zambia Department of Geomatics Engineering School of Mines and Mineral Sciences Copperbelt University Kitwe Zambia Department of Environmental Engineering School of Mines and Mineral Sciences Copperbelt University Kitwe Zambia Department of Land Resources Management and Environmental Protection Mekelle University Mekelle Ethiopia

Improving streamflow prediction reliability under limited hydrological observations is important for achieving sustainable water resources management of a river catchment. Inadequate baseline information about a catchment hydrological characteristic has hindered efficient water availability analysis and planning for water use, demand, and allocation among competing water users. The United Nations is globally implementing Sustainable Development Goals such as No. 6 (SDG-6) with emphasis on the need of having access to clean water and sanitation for all by 2030 which highly depend on water resources availability. The purpose of this study was to analyse and predict water availability in the Luwombwa sub-catchment through the application of the Soil and Water Assessment Tool (SWAT) based on its capability to simulate a wide range of hydrological processes of the sub-catchment of 7,363 km² considering past, present, and future climate scenarios. The results of the model performance achieved Nash-Sutcliffe Efficiency (NSE) of 0.74, a coefficient of determination (R²) of 0.77 and a Percent Bias (PBIAS) of 3.84 during the model calibration period (2017–2022). During model validation period (2009–2015), performance evaluations achieved were NSE of 0.66, R² of 0.67 and PBIAS of 5.67 at the catchment outlet. The model’s estimated water balance components were precipitation of 1107.7 mm comparable to the observed 1100.6 mm long-term average annual precipitation within the region, 63% evapotranspiration and 18% runoff while the combined percolation and deep recharge accounted for 19% of the annual precipitation. The results indicated the reliability of the model to predict catchment surface water availability, which provides baseline information for sustainable water resources management such as development of catchment management plans, water budget, and allocation. Therefore, the scientific insights from this study are capable of informing and

关键词： hydrological modelling Ungauged catchment water availability, evaporation, surface runoff

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Flood modeling in the Ba River basin using a coupled hydrodynamic model—MIKE FLOOD

River

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River 2024年第2期3卷 199-207页

作者： Luc Anh Tuan Can Thu Van Doan Van Binh Sameh AKantoush Tetsuya Sumi Le Van Quyen Ta Thi Huong Master Program in Water Technology Reuse&Management(with TU DarmstadtGermany)Faculty of EngineeringVietnamese–German UniversityBen Cat TownVietnam Ho Chi Minh City University of Natural Resources and Environment Ho Chi Minh CityVietnam Water Resources Research Center Disaster Prevention Research InstituteKyoto UniversityKyotoJapan VNU School of Interdisciplinary Study and Arts Cau GiayVietnam

The problem of flooding in Central Vietnam in general and the lower Ba River in particular is one of the natural disasters that frequently threatens people's lives and socioeconomic development in the ***,climate change is becoming ever more prominent and hotter,making extreme natural disasters more unusual and *** this research,MIKE-FLOOD—a model that connects a 1-dimensional(1-D)MIKE 11 Hydrodynamics(HD)model with a 2-dimensional(2-D)MIKE 21 HD model—was used to set *** model was calculated for three floods:(1)flood in October 1993,(2)flood in November 2003,and(3)flood in November 2007;these are floods with high frequency and relatively large *** results show that the 1993 flood rose and receded *** flood peak inundated an area of 22,600 ha,accounting for 52%of the natural *** flooded areas deeper than 1,2,3,4,and 5m were 16500,11,000,7000,4200,and 2200 ha,*** the center of Tuy Hoa city,the flooded area at the time of maximum water level was almost 100%.

关键词： Ba River basin coupled hydrodynamic model flooding MikeFlood model

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Assessment of the Impact of COVID-19 Lockdown on the Spatio-Temporal Distribution of PM2.5 in Thailand 1

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8th Asia Conference on Environment and Sustainable Development, ACESD 2023

作者： Simatupang, Cathleen Ariella Piyaviriyakul, Pitchaya Pongkiatkul, Prapat Strezov, Vladimir Boontanon, Narin Jindal, Ranjna Boontanon, Suwanna Kitpati Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Nakhon Pathom73170 Thailand School of Natural Sciences Faculty of Science and Engineering Macquarie University SydneyNSW2109 Australia Department of Environmental Engineering King Mongkut’s University of Technology Thonburi 10800 Bangkok Thailand Faculty of Environment and Resource Studies Mahidol University Nakhon Pathom73170 Thailand Environmental Engineering and Management Program Department of Energy Environment and Climate Change School of Environment and Resources Development Asian Institute of Technology 12120 Pathumthani Thailand Graduate School of Global Environmental Studies Kyoto University 606-8501 Yoshida Sakyo-Ku Kyoto Japan

ISBN: (数字)9789819733200

ISBN: (纸本)9789819733194

During COVID-19 pandemic several countries have implemented quarantines in response to the virus’ spread, which was considered an emergency. Thailand was under a state of emergency from January to December 2020, which has had an impact on the state of environment. Based on real-time data from the Pollution Control Department, the impact of COVID-19 lockdown on PM2.5 pollution in Thailand was examined. Inverse Distance Weighted interpolation was used to generate a more accurate visual representation of the PM2.5 pollution through a spatial distribution of atmospheric pollutants across the provinces of Thailand. PM2.5 levels in all considered areas reduced considerably between 2017 and 2020, with the most significant decrease occurring during the lockdown period of April-July in 2020. As the pre-COVID-19 period occurred during late winter in Thailand, the monthly average PM2.5 concentrations in all selected provinces were gradually increased from December 2019 to March 2020. During the lockdown period, the concentration of PM2.5 was reduced in Pathum Thani (48.9%), Samut Sakhon (35.6%) Samut Prakarn (33.6%), and Bangkok (31.7%) The spatial–temporal distribution of the PM2.5 levels in Samut Sakhon and Samut Prakarn provinces were analyzed for October 2020, during the new normal period. The results showed a significant decrease in concentration of up to 31% compared to previous years where industrial operations were situated. This study showed that the government enforced lockdown during COVID-19 pandemic was beneficial in understanding the impact of reduced human activities on anthropogenic air pollutants’ concentrations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： COVID-19

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An Examination of the Possible Application of Artificial Intelligence Audit Process in Organizations 6

An Examination of the Possible Application of Artificial Int...

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6th International Conference on Cybernetics and Intelligent System, ICORIS 2024

作者： Sardjono, Wahyu Pranata, Dewi Sagita Isamesal, Muhammad Information Systems Management Department BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia Cyber Security Studi Program Department of Informatics Faculty of Natural Mathematical & Engineering Sciences King’s College London West Minster WC2R 2LS United Kingdom Management Department Faculty of Economics and Busines Universitas of Airlangga Surabaya10430 Indonesia

ISBN: (纸本)9798331539603

This study investigates how artificial intelligence (AI) can transform audit processes, including how AI can be used in businesses to execute non-technical audit tasks and what effect this will have on those tasks. A qualitative case study methodology is used in the research design to give detailed insights into how AI is being adopted by businesses. This study aims to analyze the aspects that impact AI implementation from the viewpoints of managers, auditors, and other stakeholders. The findings show that artificial intelligence (AI) has a great deal of promise for non-technical audit procedures in businesses. AI can automate tedious jobs, evaluate large data sets to identify hazards and enhance teamwork and communication. These developments may lead to increased productivity, maybe better audit quality, and more effective processes. But there are still difficulties. Data quality is essential to the success of AI integration, and auditors may exhibit bias in favor of human professionals. Careful thought must also be given to ethical issues about transparency and possible job displacement. All things considered, this study adds significant knowledge to both the academic literature and real-world auditing applications. It improves our comprehension of the function of AI in the industry and provides useful information for people involved in information technology development, audit, and legislation. © 2024 IEEE.

关键词： Data quality

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The Banking Industry is Undergoing a Digital Transformation as Part of Industrial 4.0 10

The Banking Industry is Undergoing a Digital Transformation ...

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10th International Conference on Smart Computing and Communication, ICSCC 2024

作者： Sardjono, Wahyu Pranata, Dewi Sagita Ramdhana, Aditya Agung Dwi BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia Mathematical & Engineering Sciences King's College London Cyber Security Studi Program Faculty of Natural Department of Informatics West Minster Strands WC2R 2LS United Kingdom University of Airlangga Master of Management Faculty of Economics and Business Surabaya60286 Indonesia

ISBN: (纸本)9798350363104

In the current day, digital transformation is imperative;both customer demand and market competitiveness are mostly driving that trend. The fourth industrial revolution has also affected the financial sector. One difficulty that has to be addressed is the desire from customers for quick and useful services. Traditional procedures need to be replaced with digital ones. Furthermore, banking organizations will have a competitive edge in the current market if they are successful in this digital transformation process. Successful transformation, however, does not happen by accident;in fact, the likelihood of completing this change is seen to be very low, necessitating rigorous planning for a company that is ready for the future. There are several components to the preparation in question, both internal and external. In this situation, the company's ability to combine and rearrange its resources quickly is essential for adapting to the ever-changing business environment. © 2024 IEEE.

关键词： Commerce

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Documenting Twenty Years of the Contracted Labor-Intensive Forestry Workforce on National Forest System Lands in the United States (Jun, fvad026, 2023)

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JOURNAL OF FORESTRY 2023年第5-6期122卷 506-506页

作者： Deak, Alison Huber-Stearns, Heidi Crandall, Mindy Poudel, Kamana Davis, Emily Jane Coughlan, Michael R. Wilmsen, Carl University of California Cooperative Extension Mariposa CA USA Ecosystem Workforce Program Institute for Resilient Organizations Communities and Environments University of Oregon Eugene OR USA School for Environment and Sustainability University of Michigan Ann Arbor MI USA Department of Forest Engineering Resources and Management Oregon State University Corvallis OR USA Forestry and Natural Resources Extension and Department of Forest Ecosystems and Society Oregon State University Corvallis OR USA Northwest Forest Worker Center Ashland OR USA

This paper presents the first nationwide analysis detailing the scope and scale of labor-intensive forestry contracts performed on National Forest System lands and examines the businesses contracted, location and types of work performed, and distance traveled by businesses between 2001 and 2020. During the study period, 61,698 contracts were awarded to 7,896 businesses, totaling $12.9 billion, to perform labor-intensive forestry work, with most work being contracted for wildfire-related activities. Businesses were typically located in western states and non-minority owned businesses received the majority of contracts. Of minority-owned businesses, Hispanic American–owned businesses received the most contracts. The median distance that businesses traveled to accomplish work increased significantly through time but differed by business type. Understanding the scope and work of businesses awarded contracts provides insight into the workforce and its relationship to marginalized populations. Strategic investment in this workforce may have widespread impacts on federal, state, and local economies and the livelihoods of forest *** Implications: Between 2001–2020, the USDA Forest Service spent billions of dollars on contracts with thousands of businesses to conduct labor-intensive forestry projects; however, project locations and awarded businesses were not evenly distributed through space and time. Emerging and minority businesses represented a small proportion of contracts awarded. Advancing understanding of the businesses conducting labor-intensive forestry work lays the foundation for inquiry into the working conditions forest workers experience as well as disparities in contract capture. Some regions may have benefitted more from contract capture than others. Understanding factors enabling places and businesses to capture these contract dollars may help identify others that may benefit from investment.

关键词： USDA Forest Service labor-intensive forestry national forest system federal contracting federal procurement data system product service codes restoration business

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