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SSRN 2022年

作者： Cenggoro, Tjeng Wawan Elwirehardja, Gregorius Natanael Dominic, Nicholas Setiawan, Karli Eka Rahutomo, Reza Djuana, Endang Gunawan, Fergyanto E. Budiman, Arief S. Romeli, Sugiarto Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta11440 Indonesia Industrial Engineering Department BINUS Graduate Program Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Department of Manufacturing and Mechanical Engineering and Technology Oregon Institute of Technology Klamath FallsOR97601 United States PT. Impack Pratama Industri Jakarta Indonesia

Drying has been an eco-friendly and cost-efficient method to reduce post-harvest losses of agricultural crops. In various countries, the technique has been widely utilized in the form of Solar Dryer Dome (SDD) buildings. Accurate indoor microclimate forecasting is very important to implement smart control systems in SDDs that can maintain the ideal conditions, as the availability of solar energy is limited only at daytimes and the temperature may drop significantly during nighttimes in remote areas. The microclimate variables that play an important role in maintaining ideal environmental conditions include temperature and relative humidity. © 2022, The Authors. All rights reserved.

关键词： Forecasting

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Competing effects of temperature and mechanical stress on polar vortex transition in oxide superlattices

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Physical Review B 2024年第19期110卷 195417-195417页

作者： Pan Chen Xu Hou Jiandi Zhang Congbing Tan Peng Gao Yan Liang Xuezeng Tian Lei Liao Xu-Sheng Yang Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing 100190 China International Center for Quantum Materials and Electron Microscopy Laboratory School of Physics Peking University Beijing 100871 China Department of Industrial and Systems Engineering Research Institute for Advanced Manufacturing The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong China Department of Engineering Mechanics Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province Zhejiang University Zheda Road 38 Hangzhou Zhejiang 310027 China The Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen 518060 China School of Physical Sciences University of Chinese Academy of Sciences Beijing 100049 China Hunan Provincial Key Laboratory of Intelligent Sensors and Advanced Sensor Materials School of Physics and Electronics Hunan University of Science and Technology 411201 Hunan Xiangtan China

The interplay of different forms of energies in oxide superlattices, such as elastic, electrostatic, and gradient energies, can result in a stable long-range ordered polar vortex structure at room temperature. However, the role between these energies in determining the vortex structure still remains largely elusive due to the intricate interplay. By using a comprehensive in situ TEM apparatus and a prototype system, PbTiO3/SrTiO3 superlattice, we demonstrate that the vortex structure undergoes a first-order transition at the temperature around 653 K, while the application of in-plane mechanical stress at such a high temperature results in the reemergence of vortex structure. Cryogenic cooling to 94 K raises the stability of vortices, which would be destabilized by loading of out-of-plane mechanical stress. The results can be reproduced and well interpreted by phase-field simulations. These findings not only reveal the competing role of the temperature and mechanical stress at atomic scale but also demonstrate a feasible way to operate the vortex-based nanodevices working in harsh environments.

关键词： Electric polarization Ferroelectricity Electron diffraction Electron microscopy Liquid nitrogen cooling Phase-field modeling Scanning probe microscopy

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Inverse Design Optimization of Central Outlet Cap in the Flow-Through Aquaculture System Using Computational Fluid Dynamics

SSRN

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SSRN 2023年

作者： Lee, Jongjae Doh, Jaehyeok Lim, Kihoon Sung, Si-Il Kwon, Inyeong Kim, Taeho Kim, Sanghoon Department of Mechanical Design Engineering Chonnam National University 50 Daehak-ro Jeollanam-do Yeosu59626 Korea Republic of Department of Marine Production Management Chonnam National University 50 Daehak-ro Jeollanam-do Yeosu-si59626 Korea Republic of Smart Aquaculture Research Center Chonnam National University 50 Daehak-ro Jeollanam-do Yeosu-si59626 Korea Republic of School of Mechanical and Material Convergence Engineering Gyeongsang National University Gyeongsangnam-do Jinju-si52725 Korea Republic of Department of Industrial and Systems Engineering Kyonggi University Gwanggyosan-ro Yeongtong-gu Gyeonggi-do Suwon-si16227 Korea Republic of Department of Smart Fisheries Resource Management Chonnam National University Yeosu59626 Korea Republic of

In this study, we suggest a central outlet cap that can reduce the stress factors resulting from the overcrowding of olive flounder in flow-through aquaculture system. Given that the mortality rate of olive flounder is a sensitive issue in the aquaculture industry in Korea, it is crucial to minimize the stressors experienced by olive flounder. To suggest guidance on these issues, Orthogonal array (L2735) was organized to perform optimal design using computational fluid dynamics. Computational fluid dynamics analysis was performed using the continuity equation and Reynolds-averaged Navier–Stokes (RANS) equation to determine the pressure drop in the flow-through aquaculture system, which is an essential indicator of various performance aspects. The formalized optimum design problem was solved to identify the optimal points When flow-through aquaculture system had the optimal shape of central outlet cap, the pressure drop is 0.43% lower than that of the general flow-through aquaculture system without any central outlet cap. The optimal shape of the central outlet cap derived herein is expected to be economically beneficial for the aquaculture industry. © 2023, The Authors. All rights reserved.

关键词： Computational fluid dynamics

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Linearization of two-state thruster models 5

Linearization of two-state thruster models

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5th International Conference on Mathematics: Pure, Applied and Computation, ICoMPAC 2019

作者： Adzkiya, Dieky Nurhadi, Hendro Herlambang, Teguh Department of Mathematics Institut Teknologi Sepuluh Nopember Indonesia Department of Industrial Mechanical Engineering Institut Teknologi Sepuluh Nopember Indonesia Center of Excellence for Mechatronics and Industrial Automation Research Center Institut Teknologi Sepuluh Nopember Indonesia Study Program of Information Systems Universitas Nahdlatul Ulama Surabaya Indonesia

A thruster is a device used for station keeping, attitude control, in the reaction control system, or long-duration, low-thrust acceleration. Thruster is one of the main components in autonomous surface vehicle. In this paper, we discuss the linearization of two-state thruster model by using the Jacobian method. © Published under licence by IOP Publishing Ltd.

关键词： Linearization

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IMU-Based Monitoring for Assistive Disease Diagnosis and Management of IoHT: A Review

TechRxiv

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TechRxiv 2022年

作者： Bo, Fan Yerebakan, Mustafa Dai, Yanning Wang, Weibing Li, Jia Gao, Shuo Hu, Boyi The Smart Sensing Research and Development Center Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China The School of Microelectronics University of Chinese Academy of Sciences Beijing100049 China The School of Instrumentation and Optoelectronic Engineering Beihang University Beijing100191 China The Beijing Advanced Innovation Center for Big Data-Based Precision Medicine Beihang University Beijing100191 China The Department of Industrial and Systems Engineering University of Florida GainesvilleFL32611 United States

With the rapid development of Internet of Things (IoT) technologies, traditional disease diagnosis carried out in medical institutions can now be performed remotely at home or even ambient environments, yielding the concept of Internet of Health Things (IoHT). Among the diverse IoHT applications, inertial measurement units (IMUs) based systems play a significant role in the detection of diseases in many fields, such as neurological, musculoskeletal, and mental. However, traditional numerical interpretation methods have proven to be challenging to provide satisfying detection accuracies owing to the low quality of raw data especially under strong electromagnetic interference (EMI). To address this issue, in recent years, machine learning (ML) based techniques have been proposed to smartly map IMU captured data on disease detection and progress. After a decade of development, the combination of IMUs and ML algorithms for assistive disease diagnosis has become a hot topic, with an increasing number of studies reported yearly. To help readers comprehensively understand the fundamentals and state-of-the-art techniques, this article systematically reviews this field, by introducing and explaining relevant application scenarios, discussing challenges, and predicting foreseeable future trends. © 2022, CC BY.

关键词： Machine learning

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Corrigendum to “Consumer response to adjustable price and shelf-life of fresh food products under effective preservation policy” [Comput. Ind. Eng. 188 (2024) 109897]

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Computers & industrial engineering 2024年 190卷

作者： Muhammad Waqas Iqbal Asif Iqbal Malik Muhammad Babar Ramzan Muhammad Saad Memon Sonia Irshad Mari Muhammad Salman Habib School of Engineering and Technology National Textile University Faisalabad Pakistan Department of Industrial and Systems Engineering College of Computing and Mathematics King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia Interdisciplinary Research Center for Smart Mobility and Logistics King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia Industrial Engineering and Management Mehran University of Engineering and Technology Pakistan Department of Industrial and Manufacturing Engineering University of Engineering and Technology Lahore Pakistan Institute of Knowledge Services Hanyang University South Korea

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Tandem Organic Solar Cell Optimization Using Response Surface Methodology

Tandem Organic Solar Cell Optimization Using Response Surfac...

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Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), International Conference on

作者： Ayman R. Mohammed Irene S. Fahim Smart Engineering Systems Research Center (SESC) School of Engineering & Applied Sciences Nile University Industrial & Service Engineering &Management School of Engineering and Applied Sciences Nile University Cairo Egypt

ISBN: (数字)9781728196756

ISBN: (纸本)9781728196763

Organic solar cells have many advantages such as their ease of manufacturing, flexibility, and low cost compared to perovskite and silicon solar cells. However, increasing their power conversion efficiency (PCE) is still challenging. In this paper, response surface methodology of design of experiments (DOE) is used to optimize the PCE of a tandem organic solar cell. The cell is based on boron sub-phthalocyanine to reduce the series resistance between the layers. The optimization process is performed by formulating an empirical polynomial regression model relating the PCE to the active layers' thicknesses. Design Expert software is used for model adequacy checking, response surface plotting and response optimization. The optimized thicknesses resulted in increasing the PCE by 47.7% compared to the conversion rate of the monolayered solar cell of the same materials.

关键词： Photovoltaic cells Response surface methodology Mathematical model Photovoltaic systems Optimization Silicon Data models

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Modeling the Production Planning and Control System using UML

Modeling the Production Planning and Control System using UM...

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Novel Intelligent and Leading Emerging Sciences Conference (NILES)

作者： Shahd Yaser Nasr Sally Kassem Industrial Engineering program School of enginering and applied science Nile Univeristy Giza Egypt Smart Engineering Systems Research Center (SESC) Nile Univeristy Faculty of Computers and Artificial Intelligence Cairo University Cairo Egypt

ISBN: (数字)9781728182261

ISBN: (纸本)9781728182278

Production planning and control systems are known for their complexity, especially for large scale production units. The Unified Modeling Language (UML) is known for its efficiency in modeling such complex systems for better visualization and as an initial step for software implementation. In this paper, UML is utilized to model production planning and control systems. The models developed include functional, and behavioral models represented through a use case diagram, an activity diagram, and a communication diagram. The proposed models serve as the first step towards implementing a software for production planning and control systems.

关键词： Unified modeling language Object oriented modeling Production Job shop scheduling Control systems Computational modeling Biological system modeling

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Tailoring the mechanical properties in Mg-11Gd-xY-0.5Zr (x = 1.5, 2.5 and 3.5 wt%) alloys: The synergistic impact of yttrium, extrusion, and aging on precipitation kinetics and phase-transformations

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Journal of Alloys and Compounds 2025年 1036卷

作者： Jinjun Wang Muhammad Abubaker Khan Han Wang Zhexuan Huang Adil Mansoor Mohamed A. Afifi Jingyuan Li Beijing Advanced Innovation Center for Materials Genome Engineering National Key Laboratory of Advanced Stainless Steel School of Materials Science and Engineering University of Science and Technology Beijing Beijing 100083 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 China Mechanical Engineering Program School of Engineering and Applied Sciences Nile University Giza 12677 Egypt Smart Engineering Systems Research Centre Nile University Giza 12677 Egypt

Magnesium-rare earth (Mg-RE) alloys offer exceptional specific strength, presenting significant opportunities for lightweight structural applications, yet require deep understanding for process optimization. This study systematically investigates how varying Yttrium (Y) content (x = 1.5, 2.5, 3.5 wt%) interacts with thermomechanical processing (hot-extrusion followed by 200°C aging) to govern microstructural evolution and mechanical properties (at room temperature (RT) and 250°C) in Mg-11Gd-xY-0.5Zr alloys. Comprehensive characterization using scanning electron microscope (SEM), electron backscatter diffraction (EBSD), X-ray diffraction (XRD), and transmission electron microscope (TEM) revealed complex microstructural responses: increasing Y promoted grain refinement but yielded non-monotonic dynamic recrystallization (DRX) behaviour during extrusion and induced significant detrimental coarsening of the β phase morphology at higher concentrations (3.5 wt%). Aging precipitated the crucial nano-scale β′ strengthening phase, while further dynamic precipitation of β′ was observed during high-temperature (HT) deformation. Effective precipitation strengthening in the AGY 1.5 alloy (1.5 wt% Y) yielded optimal RT properties, including an ultimate tensile strength (UTS) exceeding 500 MPa. Conversely, 3.5 wt% Y led to inferior strength despite finer grains and higher indicated dislocation density, unequivocally demonstrating the adverse impact of coarse β precipitates. Enhanced ductility and extended work hardening characterized the 250°C behavior across compositions, linked to dynamic precipitation effects and thermally activated non-basal slip systems. Crucially, this work demonstrates that precipitate characteristics—specifically morphology and spatial distribution—act as the dominant factor controlling mechanical performance variations with Y content in this system, overriding contributions from grain size, texture, and dislocation density. These findings provide essentia

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Design of biorefineries towards carbon neutrality: A critical review

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Bioresource Technology 2023年 369卷 128256页

作者： Culaba, Alvin B. Mayol, Andres Philip San Juan, Jayne Lois G. Ubando, Aristotle T. Bandala, Argel A. Concepcion II, Ronnie S. Alipio, Melchizedek Chen, Wei-Hsin Show, Pau Loke Chang, Jo-Shu Department of Mechanical Engineering De La Salle University 2401 Taft Avenue Manila0922 Philippines Center for Engineering Sustainable Development Research De La Salle University 2401 Taft Avenue Manila0922 Philippines Department of Manufacturing Engineering and Management De La Salle University 2401 Taft Avenue Manila0922 Philippines Department of Industrial and Systems Engineering De La Salle University 2401 Taft Avenue Manila0922 Philippines Thermomechanical Analysis Laboratory De La Salle University Laguna Campus LTI Spine Road Laguna Blvd. Laguna Binan4024 Philippines Department of Electronics and Computer Engineering De La Salle University 2401 Taft Avenue Manila0922 Philippines Department of Aeronautics and Astronautics National Cheng Kung University Tainan701 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung407 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung411 Taiwan Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection Wenzhou University Wenzhou325035 China Department of Sustainable Engineering Saveetha School of Engineering SIMATS Chennai602105 India Department of Chemical and Environmental Engineering University of Nottingham Malaysia 43500 Semenyih Selangor Darul Ehsan Malaysia Department of Chemical and Materials Engineering Tunghai University Taichung407 Taiwan Department of Chemical Engineering National Cheng Kung University Tainan701 Taiwan

The increase in worldwide demand for energy is driven by the rapid increase in population and exponential economic development. This resulted in the fast depletion of fossil fuel supplies and unprecedented levels of greenhouse gas in the atmosphere. To valorize biomass into different bioproducts, one of the popular and carbon–neutral alternatives is biorefineries. This system is an appropriate technology in the circular economy model. Various research highlighted the role of biorefineries as a centerpiece in the carbon–neutral ecosystem of technologies of the circular economy model. To fully realize this, various improvements and challenges need to be addressed. This paper presents a critical and timely review of the challenges and future direction of biorefineries as an alternative carbon–neutral energy source. © 2022 Elsevier Ltd

关键词： Fossil fuels

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