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Recent progress in upgrading metallurgical-grade silicon to solar-grade silicon via pyrometallurgical routes

International Journal of Minerals,Metallurgy and Materials 2022年第4期29卷 767-782页

作者： Yun Lei Xiaodong Ma Ye Wang Zhiyuan Chen Yongsheng Ren Wenhui Ma Kazuki Morita Faculty of Metallurgical and Energy Engineering Kunming University of Science and TechnologyKunming 650093China Sustainable Minerals Institute The University of QueenslandSt Lucia 4072QLDAustralia School of Chemical Engineering Sichuan UniversityChengdu 610065China Separation and Conversion Technology Flemish Institute for Technological ResearchMol 2400Belgium Department of Materials Engineering Graduate School of EngineeringThe University of TokyoTokyo 113-8656Japan

Si-based photovoltaic solar power has been rapidly developed as a renewable and green energy *** widespread use of Sibased solar cells requires large amounts of solar-grade Si(SoG-Si)to manufacture Si *** routes,mainly the modified Siemens process,have dominated the preparation of polycrystalline SoG-Si;however,traditional chemical techniques employ a series of complex chemical reactions involving various corrosive and hazardous *** addition,large amounts of complex waste solar cells and Si kerf slurry waste gradually accumulate and are difficult to recycle using these *** methods are required to meet the demand for SoGSi preparation and Si waste *** metallurgical route shows promise but is hindered by the problem of eliminating B and P from metallurgical-grade Si(MG-Si).Various pyrometallurgical treatments have been proposed to enhance the removal of B and P from *** article reviews Si refining with slag treatment,chlorination,vacuum evaporation,and solvent refining,and summarizes and discusses the basic principles and recent representative studies of the four *** these,solvent refining is the most promising and environmentally friendly approach for obtaining low-cost SoG-Si and is a popular research ***,a simple and green approach,i.e.,a combination of solvent refining,slag treatment,or vacuum directional solidification,is proposed for low-cost SoG-Si preparation using MG-Si or Si wastes as raw materials.

关键词： silicon refining solar-grade silicon solvent refining vacuum evaporation slag treatment Si kerf slurry waste

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Solvent-Resistant Wearable Triboelectric Nanogenerator for Energy-Harvesting and Self-Powered Sensors

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Energy & Environmental Materials 2024年第5期7卷 376-386页

作者： Yongtao Yu Yuelin Yu Hongyi Wu Tianshuo Gao Yi Zhang Jiajia Wu Jiawei Yan Jian Shi Hideaki Morikawa Chunhong Zhu Graduate School of Medicine Science and TechnologyShinshu University3-15-1 TokidaUedaNagano 386-8567Japan Institute for Fiber Engineering(IFES) Interdisciplinary Cluster for Cutting Edge Research(ICCER)Shinshu University3-15-1 TokidaUedaNagano 386-8567Japan Faculty of Textile Science and Technology Shinshu University3-15-1 TokidaUedaNagano 386-8567Japan

Wearable triboelectric nanogenerators(TENGs)have attracted attention owing to their ability to harvest energy from the surrounding environment without ***,polyetherimide-Al_(2)O_(3)(PAl)and polyvinylidene fluoride-co-hexafluoropropylene(PVDF-HFP,PH)nanofiber membranes were used as tribo-positive and tribo-negative materials,*** acid-doped polyaniline(PANI)/cotton fabric(PPCF)and ethylenediamine(EDA)-crosslinked PAl(EPAl)nanofiber membranes were used as triboelectrode and triboencapsulation materials,*** result showed that when the PAl-PH-based TENG was shaped as a circle with a radius of 1 cm,under the pressure of 50 N,and the frequency of 0.5 Hz,the open-circuit voltage(V_(oc))and short-circuit current(I_(sc))reached the highest value of 66.6 V and-93.4 to 110.1 nA,***,the PH-based TENG could be used as a fabric sensor to detect fabric composition and as a sensor-inductive switch for light bulbs or beeping warning *** the PAl-PH-based TENG was shaped as a 5×5 cm^(2)rectangle,a 33 pF capacitor could be charged to 15 V in 28 ***,compared to PAl nanofiber membranes,EPAl nanofiber membranes exhibited good dyeing properties and excellent solvent *** PPCF exhibited<5%resistance change after washing,bending,and stretching.

关键词： energy-harvesting power supply sensors solvent-resistant wearable triboelectric nanogenerator

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Classification of Water Quality Index Using Machine Learning Algorithm for Well Assessment: A Case Study in Dili, Timor-Leste 11

Classification of Water Quality Index Using Machine Learning...

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11th International Conference on Advanced Informatics: Concept, Theory and Application, ICAICTA 2024

作者： Da Costa, Zulmira Ximenes Ikeda, Keisuke Nagawaki, Takumi Nishida, Yuichi Tamura, Satoshi Boogaard, Floris Comelis Graduate School of Engineering Gifu University Gifu501-1193 Japan National University of Timor Lorosa'e Faculty of Engineering Science and Technology Hera Timor-leste Graduate School of Natural Science and Technology Gifu University Gifu501-1193 Japan Gifu University Faculty of Engineering Gifu501-1193 Japan Hanze University of Applied Sciences Research Centre for Built Environment NoorderRuimte Groningen9747AS Netherlands Deltares Utrecht Netherlands

ISBN: (纸本)9798331520311

This paper investigate to use of information technology, i.e. machine learning algorithms for water assessment in Timor-Leste. It is essential to access clean water to ensure the safety for humans and others livings in this world. The Water Quality Index (WQI) is the standard tool for assessing water quality, which can be calculated from physicochemical and microbiological parameters. However, in developing countries, it is continuing need to bring water and energy for the most disadvantaged, make it necessary to find new solutions. In such case, missing-value imputation and machine learning models are useful for classifying water samples into suitable or unsuitable with significant accuracy. Some imputation methods were tested, and four machine learning algorithms were explored: logistic regression, support vector machine, random forest, and Gaussian naïve Bayes. We obtained a dataset with 368 observations from 26 groundwater sampling points in Dili city of Timor-Leste. According to experimental results, it is found that 64% of the water samples are suitable for human consumption. We also found k-NN imputation and random forest method were the clear winners, achieving 96% accuracy with three-fold cross validation. The analysis revealed that some parameters significantly affected the classification results. © 2024 IEEE.

关键词： Adversarial machine learning

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Research on Continuous Control Approach of Mobile Robots for Mapless Navigation 14

Research on Continuous Control Approach of Mobile Robots for...

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14th IEEE International Conference on Cyber technology in Automation, Control, and Intelligent systems, CYBER 2024

作者： Zou, Qiang Liu, Jingyuan Cong, Ming Liu, Dong Wang, Guiyuan Northeastern University Faculty of Robot Science and Engineering Shenyang China Foshan Graduate School of Innovation Northeastern University Foshan China College of Information Science and Engineering Northeast University Shenyang China School of Mechanical Engineering Dalian University of Technology Dalian China Jiangsu Shuguang Optoelectronics Co. Ltd. Yangzhou China

ISBN: (纸本)9798331506056

Mapless navigation is a widely-used technique for directing mobile robots through an unknown environment. Inspired by goal-oriented navigation features of mammals in nature, this work introduces heuristic knowledge and proposes a method known as Heuristic Knowledge based Deep Deterministic Policy Gradient, HK-DDPG, to direct the robot's motion actions, which can reduce the randomness of actions effectively. To solve the issues of low sample date utilization and poor training stability in DDPG, HK-DDPG incorporates a temporal difference error and a weight-based optimization sampling mechanism. The results of simulation and real environment evaluation experiments demonstrate that HK-DDPG algorithm exhibits faster convergence, higher learning efficiency, and better stability than DDPG algorithm. The robot deployed with the proposed model can be extended for application in real-world scenarios. © 2024 IEEE.

关键词： Mobile robots

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OntoMG: a unique and ontological-based intelligent framework for early identification of myasthenia gravis (MG)

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International Journal of Information technology (Singapore) 2024年第6期16卷 3847-3853页

作者： Mahajan, Prerna Agarwal, Trapty Vekariya, Daxa Gupta, Rajesh Malviya, Ashwini Anandaraj, S.P. Jain, Garima Anand, D. Department of Computer Science and Information Technology Jain (Deemed to Be University) Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Lucknow India Department of Computer Science and Engineering Faculty of Engineering and Technology Parul University Gujarat Vadodara India Department of Management Sanskriti University UP Mathura India Department of UGDX ATLAS SkillTech University Mumbai India Department of Computer Science Engineering Presidency University Bengaluru India Department of Computer Science and Business Systems (CBS) Noida Institute of Engineering and Technology Uttar Pradesh Greater Noida India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram India

Myasthenia Gravis (MG) is a neuromuscular disease causing extreme muscular fatigue, triggering problems with vision, swallowing, speech, mobility, dexterity, and breathing. However, early detection and prediction of MG is a crucial and quite challenging task for medical practitioners. So, in our proposed work, we are focused on introducing an ontology-based intelligent system for the prognosis of patients affected by this neuromuscular disease. The given paper presents a novel framework that employs the concepts of ontology, semantic web rules, and reasoner for deriving whether the patient is tested positive or negative. The suggested framework's effectiveness is assessed by comparing it to machine learning classifiers using parameters from the NIH repository for Myasthenia Gravis. The experimental results show that the ontological-based framework is able to achieve higher accuracy (80.85%), higher precision (78.37%), and higher recall (76.55%) than the existing classifiers used in the recent studies. © Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.

关键词： Machine learning (ML) Myasthenia gravis disease Ontology Reasoners Semantic web rules language (SWRL)

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F0 Controllable General-Purpose Vocoder Enhanced Using Speaker Vectors

F0 Controllable General-Purpose Vocoder Enhanced Using Speak...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Shingo Akiyoshi Ken’ichi Furuya Hideyuki Mizuno Graduate School of Engineering Oita University Faculty of Science and Technology Oita University Faculty of Engineering Suwa University of Science

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

In a neural vocoder capable of generating high-quality waveform, constructing a multi-speaker vocoder by training with data from various speakers reduces the necessary amount of target speaker’s data. However, this approach often results in inferior vocoder quality compared to using data from a single speaker. In this study, we propose enhancing the quality of multi-speaker vocoders by incorporating speaker vectors into the input, based on models derived from the source-filter theorem. Evaluation experiments demonstrate improved model quality when speaker vectors are included as input.

关键词： Training Vocoders Speech enhancement Vectors Consumer electronics

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Rock physical modeling of sheared fractures: permeability-resistivity-seismic velocity relationship explored via digital rock physics approach 57

Rock physical modeling of sheared fractures: permeability-re...

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57th US Rock Mechanics/Geomechanics Symposium

作者： Sawayama, K. Ishibashi, T. Jiang, F. Tsuji, T. Institute for Geothermal Sciences Graduate School of Science Kyoto University Beppu Japan Fukushima Renewable Energy Institute National Institute of Advanced Industrial Science and Technology Koriyama Japan Department of Mechanical Engineering Graduate School of Sciences and Technology for Innovation Yamaguchi University Ube Japan Department of Systems Innovation Graduate School of Engineering The University of Tokyo Tokyo Japan

ISBN: (纸本)9780979497582

Fluid flow through faults controls subsurface transport processes, considerably impacting seismic hazards and geoengineering such as enhanced geothermal systems (EGS). Recent advances in geophysical techniques have detected changes in electrical resistivity and seismic velocity due to crustal stress changes, and possibly predicted the changes in subsurface fluid flow. However, we could not quantitatively interpret these geophysical monitoring data due to the absence of rock physical models for fractured rocks. This study investigated changes in permeability, resistivity, elastic wave velocity, and their respective relationships at elevated normal stress by performing numerical simulations of various fracture models with changing fracture surface roughness and shear displacement. The results show that permeability-resistivity and permeability-velocity relationships are less dependent on any geometric characteristics, but controlled by the percolation based on microscopic flow analysis. Our finding suggests that Overall, resistivity is more sensitive to less connected flow regime, while seismic velocities are more sensitive to connected flow regime. © 2023 57th US Rock Mechanics/Geomechanics Symposium. All Rights Reserved.

关键词： Flow of fluids

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Evaluation of Cloud Recovery System for Financial Applications Based on Hadoop 7

Evaluation of Cloud Recovery System for Financial Applicatio...

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7th IEEE International Symposium on Telecommunication Technologies, ISTT 2024

作者： Lu, Li Lu, Tong Sali, Aduwati School of Microelectronics and Data Science Anhui University of Technology Maanshan243002 China Department of Computer and Communication Systems Engineering Faculty of Engineering Selangor Serdang43400 Malaysia Universiti Putra Malaysia Selangor Serdang43400 Malaysia

ISBN: (纸本)9798350392074

The rise of cloud-based disaster recovery systems has reshaped disaster recovery practices. Integrated into the Hadoop framework with core components like Hadoop Distributed File System (HDFS), MapReduce, and Yet Another Resource Negotiator (YARN), these systems ensure data integrity and business continuity during crises while enhancing data reliability and operational efficiency, surpassing traditional recovery systems. This study presents a comprehensive comparative analysis of traditional and Hadoop-integrated cloud recovery systems, focusing on hardware architecture and performance. Architecturally, it highlights the stark differences between conventional models and Hadoop-based innovations. The results show that the Hadoop-backed recovery system exhibits remarkable improvement, reducing Recovery Time Objective (RTO) from over 18 seconds to under 7 seconds while preserving data integrity as per Recovery Point Objective (RPO) standards. This finding underscores the academic importance of evaluating cloud-based disaster recovery within the Hadoop context, offering insights into its transformative potential for disaster recovery strategies. © 2024 IEEE.

关键词： Data integrity

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Adoption of LoRa-based Attendance System: An Empirical Investigation Using UTAUT Model in the IT Industry

Adoption of LoRa-based Attendance System: An Empirical Inves...

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2023 International Conference on Digital Business and technology Management, ICONDBTM 2023

作者： Seta, Anantya Khrisna Taufiq Abdulhafizh, Sayyid Syamsuar, Dedy Jacob, Deden Witarsyah Ulfa, Maria Shin, Soo Young Faculty of Industrial Engineering Telkom University Bandung Indonesia Bina Nusantara University Information Systems Department School of Information Systems Jakarta Indonesia Universitas Bina Darma Information Systems Department Faculty of Science and Technology Palembang Indonesia Kumoh National Institute of Technology School of Electronic Engineering Gyeongsangbuk-do Korea Republic of

ISBN: (纸本)9798350328028

The rapid development of IoT in the last few decades must also be accompanied by technological advances. One of them is wireless communication technology, which is applied to send and receive data on IoT devices. Among these technologies, LoRa has excellent potential as a solution for low-power and low-cost reliability. However, since LoRa is a new technology, it has not been widely applied and there is a lack of user experience with the application of the technology. Therefore, The purpose of this study was to ascertain whether LoraID will be accepted and used as an attendance system in an IT firm utilizing the UTAUT model. With the aid of the SmartPLS application, 40 questionnaire respondent data in total were analyzed using PLS-SEM. The findings showed that behavioral intention are positively influ-enced by Performance Expectation, performance expectations while facilitating conditions and behavioral intentions positively affect usage intentions, and the result showed that social influence and effort expectations negatively affect behavioral intentions. © 2023 IEEE.

关键词： Internet of things

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Development and Considerations for Improvement of Capacitance Control Using AGC Circuit in MRC-WPT 49

Development and Considerations for Improvement of Capacitanc...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Hori, Koki Hashi, Taiga Miyaura, Takahiro Nakamura, Sousuke Graduate School of Science Hosei University Tokyo Japan Charging Technology Daihen Corp. Osaka Japan Hosei University Faculty of Science and Engineering Tokyo Japan

ISBN: (纸本)9798350331820

Wireless power transfer (WPT) is being investigated as a power source for mobile devices such as smartphones and tablets, and electric vehicles. Among wireless power transfer methods, wireless power transfer via magnetic resonance coupling (MRC) enables long-distance and highly efficient power transfer by taking advantage of the resonance phenomenon. However, when devices with different power frequency standards are unfortunately fed, the collapses of the resonance can lead to operational failures, such as reduced transmission efficiency. Therefore, this research proposes a method to maintain resonance and suppress the reduction in efficiency due to fluctuations in the power supply frequency with a help of capacitance control circuit whose equivalent capacitance value can be electronically controlled. Particularly we introduced AGC (Automatic Gain Control) circuit into the capacitance control circuit for the first time, which enabled the system to be operated by a single power supply. As a result, it has been confirmed by both simulation and actual equipment that constant efficiency compensation for fluctuations in power supply frequency could be possible to some extent with future works. © 2023 IEEE.

关键词： Capacitance

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