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5th International Seminar on Sustainable Urban Development, ISoSUD 2020

作者： Hafiyyan, Q. Adityawan, M.B. Harlan, D. Natakusumah, D.K. Magdalena, I. Graduate School of Civil Engineering Bandung Institute of Technology Jawa Barat Bandung Indonesia Center for Coastal and Marine Development Bandung Institute of Technology Jawa Barat Bandung Indonesia Study Program of Water Resouces Engineering and Management Bandung Institute of Technology Jawa Barat Bandung Indonesia Study Program of Water Resources Engineering Bandung Institute of Technology Jawa Barat Bandung Indonesia Industrial and Financial Mathematics Research Group Bandung Institute of Technology Jawa Barat Bandung Indonesia

The aim of this paper is to compare the ability of two numerical models to simulate two-dimensional dam-break flows. Dam-break modelling is important in reducing the high-risk of dam failure by determining the water flow movement and its effect on buildings downstream. In this study, the Taylor Galerkin and Forward Time Central Space method is presented to simulate 2-D dam-break flow. The Hansen filter is applied to both methods to reduce numerical instability oscillations in the model. The filters were used for each time step at each computing point. The model is verified by comparing the result simulation with numerical results from previous studies. The result show that Taylor Galerkin numerical scheme with Hansen filter is successful to simulate the problem of 2-D dam-break. Also, the Taylor Galerkin model has better results than the FTCS model. Studies like this are needed for mitigation efforts in the event of dam failure. © Published under licence by IOP Publishing Ltd.

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Broadband Absorptance High Efficiency Silicon Nanowire Fractal Arrays for Photovoltaic Applications

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MRS Online Proceedings Library (OPL) 2014年第1期1707卷 mrss14-1707-uu06-02-mrss14-1707-uu06-02页

作者： Omar H. Alzoubi Husam Abu-Safe Khalid Alshurman Hameed A. Naseem Department of Electrical Engineering University of Arkansas Fayetteville AR 72701 U.S.A. Natural Resources Engineering and Management German-Jordanian University Madaba Jordan Microelectronics and photonics program University of Arkansas Fayetteville AR 72701 U.S.A.

Nanowire arrays have been proposed to enhance light trapping, increase efficiencies, and reduced material cost in photovoltaic solar cells. In this work we present a new crystalline silicon nanowire array structure, inspired by fractal geometry. The array structure is assumed to be an infinite 2D array in the x and y directions, and composed of vertically aligned SiNW suspended in air. Hexagonal fractal-like geometry is adapted in arranging cylindrical SiNW in these arrays. Full-wave finite element method 3D simulation is used to compute reflectance, transmittance and absorptance of the array for a normal incidence plane wave. The proposed fractal-like distribution of SiNW arrays yield broad absorption spectrum and enhanced efficiency while using less material. The efficiency of the proposed fractal-like SiNW arrays achieve ∼100% enhancement over that of the equivalent thickness flat c-Si film, and ∼18% enhancement over an equivalent height hexagonal array. The proposed optimized structures achieved a filling ratio ∼25%, which is ∼33% less than the corresponding hexagonal array.

关键词： photovoltaic optical nanostructure

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Assessing the Performance of Machine Learning Algorithms for Water Level Prediction in the Chao Phraya River and its Tributaries: A Focus on Low and High Water Levels

SSRN

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SSRN 2024年

作者： Priyasiri, Wilmat D.S.M. Rittima, Areeya Kraisangka, Jidapa Sawangphol, Wudhichart Phankamolsil, Yutthana Talaluxmana, Yutthana Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Thailand Faculty of Information and Communication Technology Mahidol University Thailand Environmental Engineering and Disaster Management Program Mahidol University Kanchanaburi Campus Thailand Department of Water Resources Engineering Faculty of Engineering Kasetsart University Thailand

High precision of hydrological prediction is crucial for real–time operation of flood and drought risk mitigation and strategic planning. This study assessed the predictive performances of three Machine Learning (ML) algorithms;XGBoost, Random Forest (RF), and Multi–Layer Neural Networks (MLNNs) for water level prediction with a focus on low and high water levels. The one–day and one–week water level prediction models for six key gauged stations along the Chao Phraya River and its major tributaries were accordingly developed. Selecting the combination of input features was carried out and structured in the prediction model at all gauged stations based on the physical river–reservoir system using past water level, rainfall, controlled reservoir outflow, and upstream discharges with different travel times. The statistical evaluation indicated that both XGBoost and RF, the tree–based ML models, with rainfall input robustly outperformed than MLNNs, as it strongly achieved higher R2 from 0.957 to 0.999 for model training and from 0.743 to 0.995 for model testing and lower MAE, MSE, and RMSE values for all prediction scenarios. Among these three ML algorithms applied for daily prediction, RF demonstrated the superior performance for low water level prediction exhibiting the smallest percentage error of overestimating lying between +0.0088% and +0.9380%. XGBoost, RF, and MLNNs, demonstrated acceptable performance level for high water level prediction as it shows small percentage error of both overestimating and underestimating lying between –2.2696% and +1.1587%. Additionally, it can capture the entire testing dataset with high precision than weekly model. © 2024, The Authors. All rights reserved.

关键词： Rain

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Conversion of biochar into sulfonate-bearing solid acids used for the hydrolysis of tylosin:the effect of aromaticity and degree of condensation

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Biochar 2023年第1期5卷 1514-1526页

作者： Qianqian Xie Xiao Yang Binoy Sarkar Xiaomin Dou Piumi Amasha Withana Yong Sik Ok College of Environmental Science and Engineering Beijing Forestry UniversityBeijing 100083People’s Republic of China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101People’s Republic of China Future Industries Institute University of South AustraliaMawson LakesSA 5095Australia Korea Biochar Research Center APRU Sustainable Waste Management Program&Division of Environmental Science and Ecological EngineeringKorea UniversitySeoul 02841Republic of Korea International ESG Association(IESGA) Seoul 06621Republic of Korea

In the last few decades,sulfonated carbon materials have garnered significant attention as Brøsted solid acid *** sulfonation process and catalytic activity of sulfonated biochar can be influenced by the aromaticity and degree of condensation exhibited by ***,the relationships between the aromaticity,sulfonating ability,and resultant catalytic activity are not fully *** this study,biochar samples pyrolyzed at 300-650℃ exhibiting different aromaticity and degrees of condensation were sulfonated and employed as sulfonate-bearing solid catalysts for hydrolytically removing *** exhibited excellent hydrolytic performance and their kinetic constants were positively correlated with the total acidity and negatively correlated with their *** study has uncovered the relationship between the structure,properties,sulfonating ability,and subsequent hydrolytic performance of biochar *** was observed that the aromaticity of biochar decreased as the pyrolysis temperature *** pyrolysis temperatures resulted in a reduced degree of condensation,smaller ring size,and an increased number of ring edge sites available for sulfonation,ultimately leading to enhanced catalytic *** findings provide valuable insights into the fundamental chemistry behind sulfonation upgrading of biochar,with the aim of developing functional catalysts for mitigating antibiotics in contaminated water.

关键词： Biochar upgrading Sulfonation Hydrolytic mitigation Tylosin removal Biochar-based solid acids

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

Creating Mathematical Models to Help Formulate Company Strat...

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International Conference on Information management and Technology (ICIMTech)

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

ISBN: (数字)9798350390025

ISBN: (纸本)9798350390032

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.

关键词： Performance evaluation Knowledge acquisition Collaboration Companies Knowledge management Mathematical models Regression analysis Information management Problem-solving System implementation

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Statistical Bias Correction of RegCM4 Output Data (Study Area: Indramayu Regency) 7

Statistical Bias Correction of RegCM4 Output Data (Study Are...

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7th Low Carbon Asia Research Network Annual Meeting: Challenges for Asia to Meet 1.5"C Target, LoCARNet 2018

作者： Anria Boer, Rizaldi Faqih, Akhmad Natural Resources and Environmental Management Program Graduate School of Bogor Agricultural University Kampus IPB Baranangsiang Jl. Pajajaran No. 1 Bogor16143 Indonesia Center for Climate Risk and Opportunity Management in Southeast Asia and Pacific Bogor Agricultural University Kampus IPB Baranangsiang Jl. Pajajaran No. 1 Bogor16143 Indonesia Department of Geophysics and Meteorology Faculty of Mathematics and Natural Sciences Bogor Agricultural University Kampus IPB Dramaga FMIPA Building Level 4 Jalan Raya Dramaga Wing 19 Bogor16680 Indonesia

Climate data that has limitation on spatial and temporal scale becomes an obstacle in perform the climate-related research such us crop simulation, climate risk assessment and many others. Regional climate models such as RegCM4 can produce adequate outcomes of climate data in term of spatial and temporal sides. Output data from RegCM4 can be used for further research once it has been through correction process. On this study, statistical bias correction with three different transfer function (i.e. linear regression, second order polynomials and third order polynomials) were tested. The correction process that has been done on the RegCM4 rainfall data in Indramayu Regency by using third order polynomials-transfer function is able to produce climatology data with value close to observation data. Similarity between observation data and the corrected RegCM4 output data is indicated by similar temporal and spatial distributions. Based on the historical climate and projection of rainfall (1981-2065), it is known that annual rainfall will decrease by 0.84 mm/year. © Published under licence by IOP Publishing Ltd.

关键词： Transfer functions

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Land priority determination for paddy field extensification in Subang Regency - Indonesia

Land priority determination for paddy field extensification ...

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International Conference on Digital Agriculture from Land to Consumers 2018, ICDALC 2018

作者： Santoso, P.B.K. Widiatmaka Sabiham, S. Machfud Rusastra, I.W. Natural Resources and Environment Management Program Graduate School Bogor Agricultural University Campus IPB Baranangsiang Bogor16144 Indonesia Department of Soil Science and Land Resources Faculty of Agriculture Bogor Agricultural University Campus IPB Darmaga Bogor16680 Indonesia Department of Agricultural Industrial Technology Faculty of Agricultural Technology Bogor Agricultural University Campus IPB Darmaga Bogor16680 Indonesia Center for Socioeconomic and Agricultural Policy Cimanggu Research Campus Tentara Pelajar Street Kav 3 Bogor16111 Indonesia

Extensification efforts in agriculture to increase paddy production can be done through the selection of land for the development of paddy fields from available land. Every inch of land has different characteristics, which can be used for the selection of land suitable for a use, including for paddy fields. This study aims to delineate available land and set priorities for the development of paddy fields in Subang Regency. The main methodology used is a multicriteria-based land evaluation. The land attribute is weighted using the AHP technique from the assessment of 8 experts. Land availability was obtained from a combination of Weighted Linear Combination method and Geographic Information System. The results of the study found suitable land for paddy field extensification. Prioritization results showed that 76,115 hectares of land had high priority, 7,165 hectares had moderate priority, 55,280 hectares had low priority, and an area of 19,561 hectares is land that is not recommended for use. The land available for extensification of paddy fields from suitable land is 9,885 hectares with a composition of 73.24% (7,240 hectares) high priority, 21.20% (2,096 hectares) moderate priority, 3.36% (530 hectares) low priority, and 0.19% (19 hectares) are not recommended for paddy field extensification. © Published under licence by IOP Publishing Ltd.

关键词： Geographic information systems

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Improvements to modern portfolio theory based models applied to electricity systems

arXiv

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arXiv 2021年

作者： Castro, Gabriel Malta Klöckl, Claude Regner, Peter Schmidt, Johannes Pereira, Amaro Olimpio Energy Planning Program Graduate School of Engineering Federal University of Rio de Janeiro Rio de Janeiro Brazil Institute for Sustainable Economic Development University of Natural Resources and Life Science Vienna Austria

With the increase of variable renewable energy sources (VRES) share in electricity systems, many studies were developed in order to determine their optimal technological and spatial mix. Modern Portfolio Theory (MPT) has been frequently applied in this context. However, some crucial aspects, important in energy planning, are not addressed by these analyses. We, therefore, propose several improvements and evaluate how each change in formulation impacts results. More specifically, we address generation costs, system demand, and firm energy output, present a formal model and apply it to the case of Brazil. We found that, after including our proposed modifications, the resulting efficient frontier differs strongly from the one obtained in the original formulation. Portfolios with high output standard deviation are not able to provide a firm output level at competitive costs. Furthermore, we show that diversification plays an important role in smoothing output from VRES portfolios. Copyright © 2021, The Authors. All rights reserved.

关键词： Renewable energy resources

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Enhancing the sustainability and effectiveness of non-governmental organizations: An integrated neutrosophic decision-making model for determining the most effective corporate governance strategies

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engineering Applications of Artificial Intelligence 2025年 156卷

作者： Emrah Ayhan Hakan Gökhan Gündoğdu Ahmet Aytekin Ahmet Furkan Karakaya Vladimir Simic Dragan Pamucar Department of Political Science and Public Administration Faculty of Economics and Administrative Sciences Anadolu University Tepebaşı 26470 Eskişehir Türkiye Department of Business Administration Hopa Faculty of Economics and Administrative Sciences Artvin Çoruh University Hopa 08100 Artvin Türkiye Public Administration Master Program Graduate Education Institute Anadolu University Tepebaşı 26470 Eskişehir Türkiye University of Belgrade Faculty of Transport and Traffic Engineering Vojvode Stepe 305 11010 Belgrade Serbia Yuan Ze University College of Engineering Department of Industrial Engineering and Management Taoyuan City 320315 Taiwan Department of Computer Science and Engineering College of Informatics Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 Republic of Korea Department of Operations Research and Statistics Faculty of Organizational Sciences University of Belgrade Belgrade Serbia Department of Mechanics and Mathematics Western Caspian University Baku Azerbaijan İstinye University Faculty of Engineering and Natural Sciences Industrial Engineering Department Sarıyer 34396 İstanbul Türkiye

This research explores the development of effective corporate governance strategies for non-governmental organizations (NGOs) by evaluating both critical decision criteria and innovative organizational models. Based on an extensive literature review, seven governance criteria were identified: credibility and non-profit orientation, regular information flow and transparency, level of institutionalization, frequency of leadership turnover, internal and external stakeholder relations, annual budget, and ideological or religious motivation. In addition, five innovative organizational models were selected as strategic alternatives: continuous learning organization, technology-oriented policy development, income diversification, pluralistic governance, and transformational leadership. The empirical data were gathered through interviews with 16 experts from academia, civil society, and public institutions in Türkiye. To address the complexity and uncertainty of decision-making processes, a hybrid type-2 neutrosophic number (T2NN) multi-criteria decision-making methodology is introduced. The T2NN-ranking comparison and T2NN-criteria importance through intercriteria correlation methods are used to determine the weight of criteria, while T2NN-stable preference ordering towards ideal solution is utilized to rank the alternative models. Results show that the level of institutionalization is the most significant criterion, and income diversification is the most effective organizational model for improving NGO sustainability. The study not only provides practical guidance for NGO leaders but also introduces a robust methodological approach applicable to governance challenges under uncertain conditions.

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Correction: Optimized framework for evaluating F3 transgressive segregants in cayenne pepper

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BMC plant biology 2025年第1期25卷 300页

作者： Ifayanti Ridwan Muh Farid Feranita Haring Nuniek Widiayani Ahmad Yani Nirwansyah Amier Muhammad Alfan Ikhlasul Amal Jekvy Hendra Nawab Ali Mekhled M Alenazi Mahmoud F Seleiman Willy Bayuardi Suwarno Muhammad Fuad Anshori Department of Agronomy Faculty of Agriculture Hasanuddin University Makassar 90245 Indonesia. Agrotechnology Bachelor Study Program Faculty of Agriculture Hasanuddin University Makassar 90245 Indonesia. Agrotechnology Master Study Program Faculty of Agriculture Hasanuddin University Makassar 90245 Indonesia. Agricultural Science Doctoral Program Graduate School Hasanuddin University Makassar 90245 Indonesia. Directorate of Horticultural Protection Agricultural Ministry Jakarta 12520 Indonesia. Department of Biosystems and Agricultural Engineering (BAE) College of Agriculture and Natural Resources Michigan State University East Lansing USA. Department of Plant Production College of Food and Agriculture Sciences King Saud University Riyadh Saudi Arabia. Department of Agronomy and Horticulture Faculty of Agriculture IPB University Bogor 11680 Indonesia. Department of Agronomy Faculty of Agriculture Hasanuddin University Makassar 90245 Indonesia. fuad.anshori@unhas.ac.id.

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