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7th International Conference on Electrical engineering and Informatics, ICEEI 2019

作者： Mizard, Ariyq Naufal Aryani, Dwi Riana Verdianto, Ariono Hudaya, Chairul Faculty of Engineering Universitas Indonesia Department of Electrical Engineering Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Kampus Baru UI Depok 16424 Indonesia

ISBN: (纸本)9781728124186

Conversion of fossil fuels as an energy source can be achieved by optimizing the use of renewable energy. One of the most used renewable energy is solar photovoltaics (PV). At present, solar power plant is an electrification support system for certain buildings because the abundant availability of solar radiation. On this research, Power and energy observations are carried out to determine measure the load power trend, the amount of energy flow from PV to the load, as well as import or export power from or to utility grid by direct measurement on Mosque of Faculty of engineering, Universitas Indonesia. According to the study, the highest power generated by solar power plant mostly occurs at 12:00 - 13:00 with the highest power generated by PV is 2,344 W and the exported power is 939 W, and 32.19% - 55.67% electricity energy savings consumption from utility grid. © 2019 IEEE.

关键词： Solar energy

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A green recyclable Li3VO4-pectin electrode exhibiting pseudocapacitive effect as an advanced anode for lithium-ion battery

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Journal of Energy Storage 2023年 72卷

作者： Su, Yu-Hsuan Chung, Chin-Yi Chen, Yan-Ruei Wu, Feng-Yu Lin, Ya-Huei Chi, Po-Wei Wu, Phillip M. Paul, Tanmoy Lin, Hwai-En Chang-Liao, Kuei-Shu Wang, Sea-Fue Wu, Maw-Kuen Institute of Physics Academia Sinica 128 Section 2 Academia Road Taipei11529 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica and National Tsing Hua University 128 Section 2 Academia Road Taipei11529 Taiwan Department of Engineering and System Science National Tsing Hua University 101 Section 2 Kuang-Fu Road Hsinchu300044 Taiwan 1 Section 3 Zhongxiao E. Rd. Taipei106 Taiwan 1 Section 3 Zhongxiao E. Road Taipei106 Taiwan Research Institute for Sustainable Energy TCG Centres for Research and Education in Science and Technology BIPL Building Salt Lake Kolkata700091 India

Battery system design and development is prioritizing environmentally friendly recycling processes to ensure a sustainable future for our planet. The reuse of active materials in Li-ion batteries is critical for this goal. Herein, we investigated the electrochemical performance of Li3VO4 (LVO) anode with pectin as a binder. Our Li-ion half-cells showed stable capacity of 230 mAh g−1 at a current density of 0.02 A g−1 after 100 cycles. In addition, we observed a novel enhanced specific capacity of 400 mAh g−1 during delithiation at a high current density of 1 A g−1, which did not occur during lithiation. This higher capacity was can be attributed to the pseudocapacitive lithium storage behavior in the LVO-pectin electrode, as identified by CV and EIS analyses. The heterostructure of LVO-pectin resulted in an interfacial surface charge that contributed to the capacity, as demonstrated by impedance spectroscopy in conjunction with the distribution of relaxation times. The utilization of pectin as an eco-friendly binder demonstrated nearly 90 % material recovery and 100 % capability for subsequent re-lithiation, indicating recyclability. Furthermore, the pseudocapacitive effect becomes increasingly dominant in regenerated LVO-pectin cells. These results exemplify a promising approach towards the development of environmentally friendly Li-ion batteries with high energy and power density. © 2023 Elsevier Ltd

关键词： Lithium-ion batteries

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Thermoelectric chalcopyrite-type ZnSnAs 2 compound with high power factor for low-grade waste-heat recovery

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Journal of Alloys and Compounds 2025年 1033卷

作者： Koki Nakashima Shoma Miura Hiroki Ienaga Keita Nomoto Kenji Yoshino Kensuke Nishioka Akira Nagaoka Graduate School of Engineering University of Miyazaki Miyazaki 889-2192 Japan School of Aerospace Mechanical and Mechatronic Engineering and Australian Centre for Microscopy and Microanalysis The University of Sydney Sydney 2006 Australia Faculty of Engineering Electrical and Electronic System Program University of Miyazaki Miyazaki 889-2192 Japan GX Research Center University of Miyazaki Miyazaki 889-2192 Japan

Chalcopyrite compounds are promising thermoelectric (TE) materials owing to their excellent performance. Adopting a pseudocubic structure is a key strategy to improve the TE performance as it increases the degeneracy at the valence band edge. Herein, the TE properties of a II-IV-V 2 group, p-type ZnSnAs 2 chalcopyrite with a pseudocubic structure are systematically investigated. Polycrystalline, single phase, stoichiometric ZnSnAs 2 was obtained at growth temperatures above 700 ºC. The TE properties of ZnSnAs 2 depended on its intrinsic defect concentration, which was influenced by its Zn/Sn ratios. A high power factor value of 2890 μW/mK 2 was obtained in Zn-poor Zn 0.9 Sn 1.1 As 2 at 373 K. The TE figure of merit for the off-stoichiometric ZnSnAs 2 reached 0.1 at 573 K. Consequently, a maximum TE conversion efficiency of ∼1 % at a temperature gradient of 300 K was demonstrated for a ZnSnAs 2 -based single-leg device. These results can accelerate the development of TE technologies for low-energy harvesting.

关键词： Chalcopyrite compounds Crystal growth Pseudocubic structure Single-leg device Thermoelectric materials

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Rapid and non-destructive determination of vitamin C and antioxidant activity of intact red chilies using visible near-infrared spectroscopy and machine learning tools

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Case Studies in Chemical and Environmental engineering 2023年 8卷

作者： Devianti Sufardi Hafsah, Siti Sariadi Ahmad, Fachraniah Arianti, Nunik Destria Saputra, Edo Hartuti, Sri Department of Agricultural Engineering Faculty of Agriculture Syiah Kuala University Banda Aceh 23111 Indonesia Department of Soil Science Faculty of Agriculture Universitas Syiah Kuala Banda Aceh 23111 Indonesia Department of Agrotechnology Faculty of Agriculture Universitas Syiah Kuala Banda Aceh 23111 Indonesia Department of Chemical Engineering Politeknik Negeri Lhokseumawe Lhokseumawe 24301 Indonesia Department of Information System Nusa Putra University Sukabumi 43155 Indonesia Department of Agricultural Technology Faculty of Agriculture Universitas Riau Pekanbaru 28293 Indonesia Agricultural Engineering Study Program IPB University Bogor 16680 Indonesia

Red chili peppers are extensively used in the culinary industry due to their high vitamin C, antioxidant content, spice, and natural colorant properties. Traditional methods for determining these parameters are time-consuming and unstable. This study investigates the viability of visible near-infrared spectroscopy as a rapid and nondestructive method for determining vitamin C content and antioxidant activity in intact red chilies. Visible near-infrared spectroscopy measures the sample's light absorption, proportional to its chemical composition. Collecting intact red chili samples from various sources and determining their vitamin C content and antioxidant activity using conventional methods were required for the study. The visible near-infrared spectra of the pieces were collected using a spectrometer, and chemometric models were devised to correlate the spectra with the vitamin C content and antioxidant activity. Traditional methods were compared to visible near-infrared spectroscopy regarding their performance of prediction. In conjunction with chemometric models and machine learning algorithms, visible near-infrared spectroscopy could accurately predict red chilies' vitamin C content and antioxidant activity. The developed models exhibited high calibration and prediction coefficients, low root mean square errors, and high prediction-to-deviation ratios. The identified absorption peaks in the visible near-infrared spectra were related to the samples' color pigments and water content. This study demonstrates the feasibility of visible near-infrared spectroscopy as a rapid and nondestructive method for determining the vitamin C content and antioxidant activity of intact red chilies. The findings may have significant ramifications for the food industry, providing a more efficient and secure quality control and nutritional labeling method. It is recommended that additional research and validation be conducted to ensure the applicability of the developed models to var

关键词： Chemometrics tools Machine learning Red chilies Spectroscopy

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Improving debris flow evacuation alerts in Taiwan using machine learning

arXiv

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arXiv 2022年

作者： Tsai, Yi-Lin Irvin, Jeremy Chundi, Suhas Ng, Andrew Y. Field, Christopher B. Kitanidis, Peter K. Department of Civil and Environmental Engineering Stanford University StanfordCA United States Department of Computer Science Stanford University StanfordCA United States Woods Institute for the Environment Stanford University StanfordCA United States Interdisciplinary Environmental Studies Program Stanford University StanfordCA United States Department of Earth System Science Stanford University StanfordCA United States Institute for Computational and Mathematical Engineering Stanford University StanfordCA United States

Taiwan has the highest susceptibility to and fatalities from debris flows worldwide. The existing debris flow warning system in Taiwan, which uses a time-weighted measure of rainfall, leads to alerts when the measure exceeds a predefined threshold. However, this system generates many false alarms and misses a substantial fraction of the actual debris flows. Towards improving this system, we implemented five machine learning models that input historical rainfall data and predict whether a debris flow will occur within a selected time. We found that a random forest model performed the best among the five models and outperformed the existing system in Taiwan. Furthermore, we identified the rainfall trajectories strongly related to debris flow occurrences and explored trade-offs between the risks of missing debris flows versus frequent false alerts. These results suggest the potential for machine learning models trained on hourly rainfall data alone to save lives while reducing false alerts. Copyright © 2022, The Authors. All rights reserved.

关键词： Rain

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Effects of sodium alginate-poly(acrylic acid) cross-linked hydrogel beads on soil conditioner in the absence and presence of phosphate and carbonate ions

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Case Studies in Chemical and Environmental engineering 2024年 9卷

作者： Hidayat, Endar Sarbani, Nur Maisarah Mohamad Lahiri, Sudip Kumar Samitsu, Sadaki Yonemura, Seiichiro Mitoma, Yoshiharu Harada, Hiroyuki Graduate School of Comprehensive Scientific Research Program in Biological System Sciences Prefectural University of Hiroshima Shobara 727-0023 Japan Department of Life System Science Faculty of Bioresources Science Prefectural University of Hiroshima Shobara 727-0023 Japan Data-driven Polymer Design Group Research Center for Macromolecules and Biomaterials National Institute for Materials Science 1−2−1 Sengen Tsukuba 305-0047 Japan Department of Mechanical & Industrial Engineering University of Toronto Toronto M5S 3G8 ON Canada Faculty of Allied Health Sciences Chettinad Hospital and Research Institute Chettinad Academy of Research and Education Tamil Nadu Kelambakkam 603103 India

Hydrogel beads, composed of polymers, possess the ability to absorb substantial quantities of water simultaneously and gradually release it in dry conditions. In this work, hydrogel beads were synthesized using sodium alginate (S-Alg) and poly (acrylic acid) (P-Acc), either in the absence or presence of phosphate (PO₄ ³⁻) (S-Alg/P-Acc@PO₄ ³⁻) and carbonate (CO₃ ²⁻) anionic ions (S-Alg/P-Acc@CO₃ ²⁻). Subsequently, these beads were crosslinked with Ca²⁺ ions. The scanning electron microscopy (SEM) images demonstrated that the presence of anionic ions has an impact on the structure of the hydrogel beads and enhances porosity expansion while concurrently reducing the concentration of carboxyl (COOH) groups. The hydrogel beads exhibited a great swelling behavior, with S-Alg/P-Acc@CO₃ ²⁻ capable of absorbing up to 73.5 % of water in acidic conditions, but decreased under neutral and basic conditions. Soil water loss (SWL) experiments confirmed the ability of hydrogel beads to retain water in the soil. Additionally, observations of soil characteristics after a 14-day treatment revealed no significant difference in pH and C/N ratio (P-value <0.05). However, soil's available Fe and N–NO₃ ^- significantly reduced (P-value <0.05) while substantially promoting soil N–NH₄ ⁺, available phosphorus (P), cation exchange capacity (CEC), soil organic carbon (SOC), and exchangeable cation (Ca²⁺, K⁺ and Mg²⁺). The presence of hydroxyl (-OH) and –COOH groups was found to be crucial for enhancing soil properties. © 2024 The Authors

关键词： Anionic ions Hydrogel beads Poly (acrylic acid) Sodium alginate Soil characteristics Soil water retention Swelling

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Reconstructing Suspended Sediment Concentrations in the Mekong River Basin Via Semi-Supervised-Based Deep Neural Networks

SSRN

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SSRN 2024年

作者： Nguyen, Thi-Thu-Ha Vu, Duc Quang Doan, Ngoc Phu Thi Khanh Chi, Huynh Li, Peixin Van Binh, Doan An, Yimeng Tuan Dung, Pham Hoang, Tuan A. Thai Son, Mai Laboratory of Environmental Sciences and Climate Change Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City70000 Viet Nam Faculty of Environment School of Technology Van Lang University Ho Chi Minh City70000 Viet Nam Department of Computer Science and Information System Thai Nguyen University of Education Viet Nam School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast United Kingdom College of Economics and Management Nanjing University of Aeronautics and Astronautics China Master program in Water Technology Reuse and Management Faculty of Engineering Vietnamese-German University Binh Duong Province Ben Cat Town820000 Viet Nam

The Mekong River Basin (MRB) is one of the highest biodiversity areas in the world and is the vital source of livelihoods for more than 60 millions of people over six countries in Southeast Asia. However, it is suffering from a severe sediment starvation problem caused by climate change and human activities, particularly dam constructions. Understanding long-term sediment changes thus plays a crucial role for management and contingency plans. Current sediment concentration data in the MRB are extremely sporadic, making it a non-trivial task to analyze them. This paper focuses on the sediment reconstruction to provide long-term reliable suspended sediment concentration (SSC) data using Machine Learning (ML) perspectives. In particular, a novel semi-supervised ML model, which can effectively deal with data sparsity, is introduced to predict/reconstruct missing sediment data. The key idea of this approach is to exploit abundant available hydroclimate data to reduce training overfitting rather than solely relying on sediment concentration data, thus enhancing the accuracy of the employed ML models. Extensive experiments on data obtained from 1979 to 2019 at the three main stations (i.e., Chiang Saen, Nong Khai, and Mukdahan) are conducted to demonstrate the performances of the proposed method compared to other state-of-the-art supervised techniques and traditional simulation methods commonly used in previous sediment forecasting/reconstruction studies. To the best of our knowledge, this approach is the first semi-supervised method to reconstruct sediment data in the field. Though this study focuses on the MRB, sediment sparsity is a very common problem in other river systems worldwide. Thus, this method can be widely applied for them for more effective sediment reconstruction/prediction in general. © 2024, The Authors. All rights reserved.

关键词： Biodiversity

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Landscape Design for Improved Thermal Environment: An Optimized Tree Arrangement Design for Climate-Responsive Outdoor Spaces in Residential Buildings

SSRN

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SSRN 2023年

作者： Kim, Ji Yeon Park, Chae Yeon Hyun, Jung Hee Kim, Sang Hyuck Yun, Seok Hwan Lee, Dong Kun Interdisciplinary Program in Landscape Architecture Seoul National University Seoul Korea Republic of Integrated Major in Smart City Global Convergence Program Seoul National University Seoul Korea Republic of Specialized Graduate School of Intelligent Eco-Science Seoul National University Seoul Korea Republic of Smart Green Solution team SK forest Seoul Korea Republic of National Institute for Environmental Studies 16-2 Onogawa Ibaraki Tsukuba305-8506 Japan Systemic Risk and Resilience Research Group Advancing Systems Analysis International Institute for Applied Systems Analysis Austria Department of Landscape Architecture and Rural System Engineering Seoul National University Seoul Korea Republic of

The heat reduction effect of trees has been investigated through numerical simulations;however, there are still challenges to applying the scientific results to the planning process due to the model's complexity and the computational resources required. This study investigates a rapid spatial evaluation method for heat stress potential, measured by mean radiant temperature (MRT), by decomposing radiation into sub-radiation using a multilayer MRT model. This method also enables the reproduction of optimized layouts considering the effect of tree arrangement in residential buildings. Multi-objectives were achieved through an evolutionary algorithm, resulting in more effective design layouts combining tree types and arrangements, all within a standard budget. By adopting this study's approach, landscape designers can create climate-responsive tree layouts with reduced heat exposure and generate customized planting designs tailored to their preferences. © 2023, The Authors. All rights reserved.

关键词： Decision making

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A new method of terrain self-adaptive matching algorithm for autonomous underwater vehicle 4

A new method of terrain self-adaptive matching algorithm for...

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2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019

作者： Lu, Xiong Jian, Shen Xiaowen, Bi Department of Radar System Ordnance NCO Academy of Army Engineering University Wuhan430075 China Post-doctoral Program on Control Science and Engineering Naval University of Engineering Wuhan430033 China

As different underwater terrain features will affect the accuracy of unscented Kalman filter terrain matching algorithm, a new terrain self-adaptive matching method is proposed which adjusts sigma point distribution by terrain features. The connection between sigma point distribution distance and three basic terrain features were analysed. Positioning error range were calculated using navigation positioning errors and underwater digital map. Terrain elevation standard deviation was used to characterize the information quantity of decision region. Scaling parameter was adjusted using linear mapping method and sigma point distribution distance was determined by terrain features. The simulation results proved better terrain adaptability and positioning precision of improved self-adaptive matching algorithm. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Autonomous underwater vehicles

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Novel fibrin-fibronectin matrix accelerates mice skin wound healing

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Bioactive Materials 2020年第4期5卷 949-962页

作者： Carlos Poblete Jara Ou Wang Thais Paulino do Prado Ayman Ismail Frank Marco Fabian Han Li Licio A.Velloso Mark A.Carlson William Burgess Yuguo Lei William H.Velander Eliana P.Araújo Nursing School University of CampinasCampinasSPBrazil Laboratory of Cell Signaling University of CampinasCampinasSPBrazil Department of Chemical and Biomolecular Engineering University of NebraskaLincolnNEUSA Biomedical Engineering Program University of NebraskaLincolnNEUSA School of Biological Science University of NebraskaLincolnNEUSA Department of Surgery University of Nebraska Medical Center and the VA Nebraska-Western Iowa Health Care SystemUSA Mary and Dick Holland Regenerative Medicine Program University of Nebraska Medical CenterOmahaNEUSA Fred&Pamela Buffett Cancer Center University of Nebraska Medical CenterOmahaNEUSA

Plasma fibrinogen(F1)and fibronectin(pFN)polymerize to form a fibrin clot that is both a hemostatic and provisional matrix for wound *** 90%of plasma F1 has a homodimeric pair ofγchains(γγF1),and 10%has a heterodimeric pair ofγand more acidicγ′chains(γγ′F1).We have synthesized a novel fibrin matrix exclusively from a 1:1(molar ratio)complex ofγγ′F1 and pFN in the presence of highly active thrombin and recombinant Factor XIII(rFXIIIa).In this matrix,the fibrin nanofibers were decorated with pFN nanoclusters(termedγγ′F1:pFN fibrin).In contrast,fibrin made from 1:1 mixture ofγγF1 and pFN formed a sporadic distribution of“pFN droplets”(termedγγF1+pFN fibrin).Theγγ′F1:pFN fibrin enhanced the adhesion of primary human umbilical vein endothelium cells(HUVECs)relative to theγγF1+FN *** dimensional(3D)culturing showed that theγγ′F1:pFN complex fibrin matrix enhanced the proliferation of both HUVECs and primary human *** in the 3Dγγ′F1:pFN fibrin exhibited a starkly enhanced vascular morphogenesis while an apoptotic growth profile was observed in theγγF1+pFN *** toγγF1+pFN fibrin,mouse dermal wounds that were sealed byγγ′F1:pFN fibrin exhibited accelerated and enhanced *** study suggests that a 3D pFN presentation on a fibrin matrix promotes wound healing.

关键词： Fibrin Fibronectin Nanoclusters Wound healing

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