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New Energy and Power Engineering (ICNEPE), International Conference on

作者： Hongjun Wen Bowei Chen Zuxin Li Jiqiao Chen Zhi Nie Qian Wu Power Grid Development Department State Grid Zhejiang Electric Power Co. Ltd. Lishui Company Lishui China R&D Center T&D Power Research (Beijing) Technology Co. Ltd Beijing China

At present, reliability calculation is mostly focused on the calculation of current years, and the calculation of planned years is often carried out using fuzzy estimation. The calculation methods are complex and diverse, which is not conducive to the modular implementation of software. This article deeply analyzes the essence of reliability calculation based on the topology simplification model of power flow, and summarizes the parts related to the grid structure in its classic calculation formula as the grid coefficient. The parts related to the equipment are collected as the equipment coefficient, and the calculation is simplified based on practical applications. Then, based on the power grid resource business center and data center, a centralized (microservices/micro applications) + collaborative computing framework construction model is adopted, integrating basic data such as reliability facility ledger, topology, and graph model, and obtaining important parameters such as fault rate and average recovery time of distribution grid equipment components. Based on simplified calculation formulas, a power supply reliability online calculation micro application module is developed, The calculation results can provide convenient data support for reliability management and decision-making of distribution grids. This article also provides the specific implementation of software architecture design and interface display effects.

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Estimating Ground Conditions for Efficient Operation of robotic Lawn Mowers

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Journal of Japan Institute of Electronics Packaging 2022年第3期25卷 240-249页

作者： Zushida, Kazuki Zhang, Haohao Kojima, Masaki Motegi, Kazuhiro Shiraishi, Yoichi Shimamura, Hideaki Yamada, So Department of Mechanical Science and Technology Graduate School of Science and Technology Gunma University 29-1 Honcho Gunma Ota-shi373-0057 Japan Research and Development Division Nippon Mobility Inc. Maebashi Center Building15th floor C 2-13-11 Honcho Maebashi-shi Gunma371-0023 Japan Life Creation Center Honda R&D Co. Ltd. 3-15-1 Senzui Asaka-shi Saitama351-0024 Japan

The objective of this research is to estimate the length of the grass and the condition of the ground when a robotic lawn mower runs using the random Forest and Neural Network, and to change the running control according to the ground conditions for efficient lawn mowing. The main robotic lawn mowers currently on the market cannot recognize the length of the grass or the condition of the ground other than the lawn, such as bare soil. Therefore, the robotic lawn mower always rotates its blade at the maximum speed while running randomly over the specified area. In order to mow the lawn efficiently, we propose to estimate the length of the grass and the ground condition using sensors and machine learning, and to control the mower appropriately. In this study, we experimentally show that the system achieves a correct answer rate of more than 90% in estimating the ground conditions. Copyright© The Japan Institute of Electronics Packaging.

关键词： Lawn mowers

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Fluorine-Free Paraffin Binder-Based dry Thick Electrodes Toward Sustainable and Efficient Battery Manufacturing

SSRN

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SSrN 2024年

作者： Kim, Min Kyung Yu, Taegyun Jang, Sungbin Lee, Juho Jang, Min Oh, Hyeseong Cha, Hyungyeon Lee, Huiyeol Kang, Joonhee Lee, Seung Min Shim, Hyeongseok Lee, Kwon-Hyung Song, Gyujin Jin, Wooyoung Kim, Tae-Hee Jeong, Kyeong-Min Han, Joong Tark Yoo, Jung-Keun Song, Sanghyun Park, Myoungkeon Seong, Jinwoo Kim, dongoh Choi, Hyunwoo Seong, Minjong Lim, Min Jin Hwang, Wook ryol Nam, Jieun Jo, Sanghoon Kim, Jinsoo Ulsan Advanced Energy Technology R&D Center Korea Institute of Energy Research Ulsan Korea Republic of Department of Nano Fusion Technology Pusan National University Busan Korea Republic of Department of Organic Material Science and Engineering Pusan National University Busan Korea Republic of Ulsan Korea Republic of Changwon Korea Republic of Changwon Korea Republic of Seoul Korea Republic of R&D Center Rechargeable Battery Division Hanwha Momentum Seongnam Korea Republic of School of Mechanical Engineering Gyeongsang National University Jinju Korea Republic of R&D Center Yunsung F&C Co. Ltd. Anseong Korea Republic of Multiphysics Digital Twin Lab Trinity Engineering Seoul Korea Republic of

dry electrodes are being actively developed for sustainable and efficient battery manufacturing. Currently, polytetrafluoroethylene (PTFE) binders dominate dry processes, yet their production contributes to significant CO2 emissions, and concerns persist regarding their high fluorine content, especially considering evolving per- and polyfluorinated substances (PFAS) restrictions. Moreover, the poor adhesion of bare current collectors necessitates a wet coating-based primer layer with this binder. In this study, we introduce an alternative dry processing concept based on a thermoplastic fluorine-free binder with low environmental impact and high productivity. Paraffin, a short-chain family of saturated hydrocarbons known as an n-alkane, is the most stable chemical species owing to its C-H covalent bonds and the wide gap between highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energies. It also has a low melting temperature, allowing facile cohesion of the active materials to be interconnected by mild pressing activation. This novel dry electrode binder provides substantial electrochemical properties based on both NCM811 cathodes over 5 mAh cm−2 for 500 cycles. Furthermore, it implements true solvent-free adhesion without the wet-coating of primers on the current collector. This unique characteristic of paraffin can enable a powder-to-electrode manufacturing strategy with pattern coating, which alters the well-known PTFE-based freestanding electrode concept. This integrated approach bridges the gap between materials and processes, paving the way for sustainable advancements in battery electrode technology. © 2024, The Authors. All rights reserved.

关键词： Binders

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Superior corrosion resistance-dependent laser energy density in(CoCrFeNi)95Nb5 high entropy alloy coating fabricated by laser cladding

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International Journal of Minerals,Metallurgy and materials 2021年第5期28卷 888-897页

作者： Wen-rui Wang Wu Qi Xiao-li Zhang Xiao Yang Lu Xie dong-yue Li Yong-hua Xiang School of Mechanical Engineering University of Science and Technology BeijingBeijing 100083China Key Laboratory of Fluid Interaction with Material Ministry of EducationBeijing 100083China R&D management department China nuclear power technology research institute Co.Ltd.Shenzhen 518031China Key Laboratory of Cryogenics Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China Unit 92228 People’s Liberation ArmyBeijing 100072China

(CoCrFeNi)95Nb5 high entropy alloy(HEA)coatings were successfully fabricated on a substrate of Q235 steel by laser cladding ***(CoCrFeNi)95Nb5 HEA coatings possess excellent properties,particularly corrosion resistance,which is clearly superior to that of some typical bulk HEA and common engineering *** order to obtain appropriate laser cladding preparation process parameters,the effects of laser energy density on the microstructure,microhardness,and corrosion resistance of(CoCrFeNi)95Nb5 HEA coating were closely *** showed that as the laser energy density increases,precipitation of the Laves phase in(CoCrFeNi)95Nb5 HEA coating gradually decreases,and diffusion of the Fe element in the substrate intensifies,affecting the integrity of the(CoCrFeNi)95Nb5 *** decreases the microhardness of(CoCrFeNi)95Nb5 HEA ***,the relative content of Cr2O3,Cr(OH)3,and Nb2O5 in the surface passive film of the coating decreases with increasing energy density,causing corrosion resistance to *** study demonstrates the controllability of a high-performance HEA coating using laser cladding technology,which has significance for the laser cladding preparation of other CoCrFeNi-system HEA coatings.

关键词： high entropy alloy coating laser cladding technology laser energy density corrosion resistance

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research on the Security Verification and Evaluation System of distribution Network dispatching Instructions in Telephone Mode

Research on the Security Verification and Evaluation System ...

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Energy, Power and Electrical Engineering (EPEE), International Conference on

作者： Chaoyue Zhu di Huang Hongwei Liu Panxia Chen Shaojie Luo Weiyan Zheng R&D Department Hangzhou Science and Technology Development Branch Zhejiang Dayou Industrial Co. Ltd. Hangzhou China Business Service Center State Grid Hangzhou Power Supply Company Hangzhou China

Nowadays, the issue of command security in the distribution network dispatching telephone command mode is becoming increasingly prominent, and relevant personnel are paying more and more attention to the information security and accuracy when transmitting dispatching instructions to the distribution network, to prevent risks such as tampering, forgery, and theft of dispatching instruction information. The article first briefly analyzes the problems that exist in the telephone command mode during scheduling; Secondly, in response to the data security issues related to the issuance of instructions in the distribution network, based on cloud storage technology, the S-box is improved in the group encryption algorithm AES, and a chaotic system is introduced for data sequence encryption. The improved AES algorithm is combined with the chaotic system to achieve confidentiality of both parties' codes and information transmission; Simultaneously introducing upper entropy, using entropy to randomly verify the completeness and accuracy of numbers or information; Finally, the effectiveness of this method was theoretically proven, achieving efficient communication of scheduling information and ensuring the confidentiality and accuracy of received scheduling instructions.

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Field Test of Lithium Extraction in Oilfield Associated Water: A Case Study of YQ Treatment Station

Field Test of Lithium Extraction in Oilfield Associated Wate...

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2024 Abu dhabi International Petroleum Exhibition and Conference, AdIPEC 2024

作者： Miao, Xinyue Wen, Zhang ren, Yongcang Wang, Min Wang, Kelin Zhao, Zhiyong Liu, Zhiming Han, Guoqiang Ma, rui Chen, Xin Zhang, Lei deng, Qianxing Tarim Oilfield Company CNPC Xinjiang Province Korla City China Engineering Research Center for Ultra-deep Complex Reservoir Exploration and Development Xinjiang Uygur Autonomous Region Xinjiang Province Korla City China R&D Center for Ultra Deep Complex Reservior Exploration and Development CNPC Xinjiang Province Korla City China Southwest Petroleum University Sichuan Province Chengdu City China Xinjiang Key Laboratory of Ultra-deep Oil and Gas Xinjiang Province Korla City China Shanghai Huiliyuan Technology Co. Ltd. Shanghai City China BGP CNPC Hebei Province China

ISBN: (纸本)9781959025498

The oilfield associated water is complex in composition and poses significant hazards, necessitating treatment to prevent environmental pollution. Taking the Yingqian Treatment Station as an example, it processes approximately 2,400m3 of water daily. Sampling and testing revealed that the total hardness of the water exceeds 20,000mg/L, with a Mg2+ concentration of about 1,200mg/L. Most importantly, the Li+ concentration reached 150mg/L, meeting the requirements for economic development (≥50mg/L). Consequently, related research and experiments were promptly initiated. Owing to the associated water's high total hardness and low lithium content, which significantly differ from saturated brine, traditional lithium extraction techniques cannot be directly applied. In response, research has identified that manganese-based adsorbents offer the advantage of high adsorption capacity, but require concentrated acid for desorption. Conversely, bipolar membrane electrodialysis has the merit of producing lithium products with high purity;however, the byproduct concentrated acid is a hazardous chemical that necessitates proper disposal. Consequently, a combined technological approach has been proposed to leverage the strengths of both methods. The lithium extraction experiment from oil-gas field associated water at the YQ Treatment Station in China was conducted from May to June 2023, successfully producing 2.05kg of monohydrate lithium hydroxide from 116m3 of associated water. However, the experiment encountered numerous issues. For instance, the LiCl solution after a single desorption with HCl failed to meet the feed concentration requirements for subsequent processes. After extensive argumentation, the solution was adjusted by using a mixture of LiCl and HCl from the first desorption to replace HCl as the desorbent, and adjusting the desorption process from one stage to two, thereby increasing the LiCl concentration. The daily production of associated water in blocks such as Yi

关键词： Gas industry

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Computing Power Scheduling Method Based on Long-Term Workload Prediction for Computing Power Platform

Computing Power Scheduling Method Based on Long-Term Workloa...

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International Conference on Communications, Information System and Computer Engineering (CISCE)

作者： Wangying Yang Guoping Zhu Qin Chen Nianchao Liu School of Computer Science Beijing University of Posts and Telecommunications Beijing China Cloud Product R&D Department China Electronics Cloud Computing Technology Co. Ltd. Wuhan China S&T Development China Electronics Corporation Shenzhen China

ISBN: (数字)9798350353174

ISBN: (纸本)9798350353181

Users' requests for the computing power often exhibit suddenness and unpredictability, which creates challenges for workload scheduling of computing power platforms. Traditional scheduling methods struggle to adapt to such situations as they typically schedule based on real-time load conditions, ignoring long-term trends in load variations. To address these limitations, we propose a computing power scheduling method based on long-term workload prediction. First, we leverage a tree structure to aggregate temporal-spatial information from multi-variate operating time-series data, effectively describing the characteristics of workload on computing power platform. Building upon Informer, we employ residual mechanisms and dilated causal convolutions to extract deep features. Additionally, we integrate Wasserstein Generative Adversarial Network (WGAN) with Informer to accurately forecast future changes in workload for computing platforms, and introduce a novel training algorithm to enhance efficiency. We validate our method through experiments using real-world workload datasets, demonstrating the significant reduction in Mean Absolute Error (MAE) compared to LSTM. Furthermore, our model exhibits sensitivity to the length of encoder input sequences, indicating improved performance with longer series inputs.

关键词： Training Schedules Sensitivity Processor scheduling Computational modeling Aggregates Predictive models

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Achieving human brain exposure with the oral ATM inhibitor AZd1390, a substrate of aldehyde oxidase

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drug Metabolism and disposition 2025年

作者： Nicola Colclough Alexandra L. Orton Scott Martin Martin Wild Venkatesh Pilla reddy Eva Lenz roshini Markandu Joanne Wilson Chunling Fan Julian Potter david dai Christina Chan Jennie roberts Aixiang Xue Petar Pop-damkov Andy Sykes Barry Jones Thomas A. Hunt Kurt Pike dermot F. McGinnity DMPK Research and Early Development Oncology R&D AstraZeneca Cambridge UK Chemistry Research and Early Development Oncology R&D AstraZeneca Cambridge UK Clinical Pharmacology and Safety Sciences BioPharmaceuticals R&D AstraZeneca Cambridge UK Clinical Pharmacology and Safety Sciences Animal Sciences & Technology R&D AstraZeneca Boston US DMPK Research and Early Development Oncology R&D AstraZeneca Boston US

AZd1390 was identified as a highly potent, selective, small molecule inhibitor of ataxia telangiectasia mutated (ATM) kinase for use in combination with irradiation in the treatment of Glioblastoma Multiforme (GBM). Metabolism profiling in human hepatocytes and cytosol indicated that AZd1390 is a substrate for aldehyde oxidase (AO). recognising the historic failure of several AO substrates as therapeutics due to high first pass hepatic extraction and subsequently low oral bioavailability, AZd1390 was benchmarked against a range of known AO substrates in human liver cytosol (HLC) and hepatocytes and this data established AZd1390 clearance (Cl) was likely to be high, approaching liver blood flow. PBPK based simulations of animal PK predicted a high human volume of distribution (Vss) for this monobase, (∼19 L/kg) which, together with a predicted complete fraction absorbed, indicated an acceptable human oral profile to support sufficient target engagement was achievable. Whilst acknowledging a degree of uncertainty and risk for this AO substrate, AZd1390 was progressed into the clinic to assess human exposure. Analysis of plasma from patients following a single oral AZd1390 dose of 40 mg confirmed the presence of a major AO dependent metabolite (M10) at comparable levels to AZd1390. The clinical oral PK of AZd1390 was comparable with the simulated high clearance (Cl b 15-20 mL/min/kg) profiles and supported continued progression of AZd1390. Furthermore, AZd1390 has shown brain penetrance in healthy volunteer positron emission tomography (PET) studies and is currently in GBM clinical trials. This work demonstrates AO substrates with suitable properties can achieve acceptable human PK.

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development of International Standard for Assessing Energy Management Progress for Organizations, ISO TS 50011

Development of International Standard for Assessing Energy M...

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SICE Annual Conference

作者： Tomoyuki Ikeyama Kazuo Sueyoshi Tetsuro Matsui Nobuyuki Sato JEITA Energy Management Standardization Committee Technology Marketing Division Marketing Headquarters Yokogawa Electric Corporation Tokyo Japan Digital Innovation Laboratory Corporate R&D Headquarters Fuji Electric Co. Ltd. Tokyo Japan New Technology Development Department Technology Division CHUO ELECTRONICS CO. LTD. Tokyo Japan

ISBN: (数字)9784907764838

ISBN: (纸本)9798331544461

Many countries have set targets for energy efficiency improvement and greenhouse gas emission reduction as measures against global warming. To achieve them, organizations are required to achieve their own targets. Therefore, energy management systems are becoming important for organizations. In the International Organization for Standardization (ISO), Technical Committee (TC) 301 developed ISO 50001: 2018 to establish requirements for improving energy performance and energy management system (EnMS) with a plan-do-check-act (PdCA) cycle. In this PdCA-cycle, organizations are required to improve systems before/after ISO 50001 implementation. To maintain organizations' motivation for the improvement activities, methods for assessing their improvements and showing their efforts are required. Therefore, the Japan Electronics and Information technology Industries Association (JEITA) suggested an international standard for assessing the energy management of organizations and has led the development project. In this study, the development of the international standard process including clarification of the background and current problems are explained. Furthermore, a consensus in ISO discussions is discussed and the outline of the published standard is described.

关键词： Industries ISO Standards ISO Standards organizations Organizations Iron Global warming Energy management systems Information technology Greenhouse gases

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UrbandrivePathway: A decision-Making Framework for Navigating Urban Autonomous Vehicles in Complex Traffic Systems

UrbanDrivePathway: A Decision-Making Framework for Navigatin...

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International Conference on Trends in Electronics and Informatics (ICEI)

作者： Jarabala ranga A ArUL PrASATH Neeraj Kumar r. Naveenkumar Parashuram S. Vadar A S Syed Fiaz Ramachandra college of engineering Eluru Department of CSE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Doon Institute of Engineering and Technology Department of Computer Science and Engineering Chandigarh Colleges of Engineering Chandigarh Group of Colleges Jhanjeri Mohali Punjab India Yashwantrao Chavan School of Rural Development Shivaji University Kolhapur Department of Information Technology Sona College of Technology Salem

ISBN: (数字)9798331544607

ISBN: (纸本)9798331544614

The rapid advancement of autonomous vehicle (AV) technology necessitates robust decision-making frameworks for navigating complex urban traffic environments. This study introduces UrbandrivePathway, a novel decision-making framework that leverages deep learning, reinforcement learning, and real-time traffic analytics to enhance AV performance. The framework integrates Efficientdet for object detection (97.69% accuracy), Graph Neural Networks (GNN) for trajectory prediction (97.42% accuracy), and Monte Carlo Tree Search (MCTS) for decision-making (97.38% accuracy). Model Predictive Control (MPC) is employed for path planning, achieving 97.61% accuracy, while an Eco-Optimized driving Strategy enhances fuel efficiency with 97.69% accuracy in energy consumption analysis. Evaluated on diverse real-world and synthetic datasets, the proposed framework outperforms conventional models in collision avoidance, intersection handling, and energy optimization. Comparative analysis with existing methods highlights superior accuracy, reduced decision latency, and enhanced safety compliance. The UrbandrivePathway framework ensures reliable navigation in dense urban settings, addressing challenges re lated to real-time adaptability and dynamic interactions. Future enhancements will focus on multi-agent collaboration, adversarial scenario training, and advanced explainability techniques. These improvements will further optimize AV decision-making in unpredictable urban environments.

关键词： deep learning Accuracy Navigation decision making Urban areas Object detection real-time systems Graph neural networks Vehicle dynamics Autonomous vehicles

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