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6th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： Burande, dinesh V. Kalita, Kanak Chohan, Jasgurpeet Singh Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi India Department of Mechanical Engineering University Centre for Research and Development Chandigarh University Mohali India

ISBN: (纸本)9783031362453

This research paper presents a comparative study of machine learning (ML) algorithms for the predictive modelling of spot-welding process parameters. The focus is on predicting the nugget diameter (Nd) and nugget height (NH) using four different ML algorithms (namely, linear regression, random forest regression, adaptive boosting regression, and support vector machine regression). An experimental dataset consisting of fifty data points is used in this study. Exploratory data analysis was carried out to investigate the effect of process parameters on the response variables. Performance evaluation metrics were employed to gauge the predictive accuracy of the ML models. The results indicate that the random forest regression demonstrates superior performance in predicting both Nd and NH compared to the other algorithms. This study can serve as a foundation for further research in optimizing the spot-welding process through machine learning techniques. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Forecasting

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Surface modification of Li1.3Al0.3Ti1.7(PO4)3 solid electrolytes by polymethylsiloxane-based polymer for all-solid-state lithium batteries

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Ceramics International 2024年第16期51卷 22556-22564页

作者： Liu, Kai-Wen Hsu, Ping-Hsuan Chang, Jeng-Kuei Wang, Fu-Ming Liu, Wei-ren Department of Chemical Engineering Chung Yuan Christian University Taoyuan City32023 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan City32023 Taiwan Sustainable Energy Development Centre Graduate Institute of Applied Science & Technology National Taiwan University of Science and Technology Taipei City10607 Taiwan Department of Materials Science and Engineering National Yang Ming Chiao Tung University 1001 University Road Hsinchu City30010 Taiwan

Lithium all-solid-state batteries (LASSBs) face the challenge of poor performance, interface contact between electrodes, limiting voltage window of solid electrolytes, side reactions between cathode/solid electrolyte, anode/solid electrolyte and so on. To motivate the pursuit of advanced solutions, one of the efficient approaches is to design all-solid-state inorganic/polymer composite electrolytes. This study addresses limitations associated with Li1.3Al0.3Ti1.7(PO4)3 (LATP) as an inorganic solid electrolyte, including instability and short cycle life, by introducing organic-based ethylene glycol methyl ether methacrylate-co-acrylate acid functional groups (AAM950) polymer as a protective interphase between LATP pellet and Li metal. The synergistic effects of LATP pellet and AAM950 reduces the interfacial resistance between LATP pellet and Li metal and significantly suppresses lithium dendrite growth during charge and discharge processes. The ionic conductivity of LATP/AAM950 solid electrolyte exhibits ionic conductivity of 9.3 × 10−4 S/cm at room temperature, while Li stripping/plating tests demonstrates overpotential below 0.2 V over 100 cycles at a current density of 0.63 mA/cm2. Furthermore, the modified LATP/AAM950 solid electrolyte can withstand a current density of 249 mA/cm2 at room temperature, which was a dramatic improvement compared to the LATP pellet's one of only 3 mA/cm2. Finally, we assemble an all-solid-state full cell by using NCM622@LATP||AAM950/LATP/AAM950||Li, which delivers an initial discharge capacity of 165.4 mAh/g and remain 132.9 mAh/g after 100 cycles at 0.1C, achieving a remarkable 80.4 % retention. These advancements contribute significantly to the field of Li all-solid-state batteries, fostering innovation in the energy industry. © 2024 Elsevier Ltd and Techna Group S.r.l.

关键词： Pelletizing

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BOE-ziSIM: A design-technology-Manufacturing Co-optimization Platform 7

BOE-ziSIM: A Design-Technology-Manufacturing Co-optimization...

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7th International Workshop on Advanced Patterning Solutions, IWAPS 2023

作者： Liu, Nan Zhang, Zhizhao Chen, Shantao dong, Lisong Wang, Hong Technology R&D Center Beijing Zhongxiangying Technology Co. Ltd Beijing China Panel Technology Development BOE Technology Group Co. Ltd. Beijing China Institute of Microelectronics of Chinese Academy of Science Beijing China Beijing Zhongxiangying Technology Co. Ltd Beijing China

ISBN: (纸本)9798350344547

Thin-film transistors (TFT) and organic light-emitting diodes (OLEd) for display applications involve new materials, structures and processes in the design and development phase, and these elements can have a significant impact on the performance of the TFT devices. The increasing need for personalized and diversified display productions brings two problems: 1. To achieve the desired performance indicators in fabrication processes, a large number of experiments are required to continuously optimize the process parameters, which not only increases economic and time costs but also limits the development speed of new productions. 2. The display production iterations are getting faster to meet the market requirement, in other words, the time left for yield improvement becomes shorter. A design-technology-Manufacturing Co-optimization platform called BOE-ziSIM is introduced in this paper, it was developed to solve the above mentioned problems, the experiment results show that the defects analysis time is reduced from hours to minutes, and the equipment adjustment time is reduced from days to minutes. © 2023 IEEE.

关键词： Thin film transistors

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Ongoing Evolution of drAM Scaling via Third dimension -Vertically Stacked drAM -

Ongoing Evolution of DRAM Scaling via Third Dimension -Verti...

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Symposium on VLSI technology

作者： J.W. Han S.H. Park M.Y. Jeong K.S. Lee K.N. Kim H.J. Kim J.C. Shin S.M. Park S.H. Shin S.W. Park J.H. Lee S.H. Kim B.C Kim M.H. Jung I.Y. Yoon H. Kim S.U. Jang K.J. Park Y.K. Kim I.G. Kim J.H Oh S.Y. Han B.S. Kim B.J. Kuh J.M. Park DRAM Technology Development Hwaseong Korea Next Generation Process Development Samsung R&D Center Hwaseong Korea

For the past decades, the density of drAM has been remarkably increased by making access transistors and capacitors smaller in size per unit area. However, shrinking devices far beyond the 10 nm process node increasingly poses process and reliability challenges. As Flash technology made a pivotal and successful innovation via 3d NANd, drAM technology may also adopt vertical stacking memory cells. Vertically stacked drAM (VS-drAM) continues to increase bit density on a die by increasing the number of layers along with reducing the size of the transistor. In this paper, the opportunities and challenges of VS-drAM are discussed.

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research on the Security Verification and Evaluation System of distribution Network dispatching Instructions in Telephone Mode 3

Research on the Security Verification and Evaluation System ...

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3rd International Conference on Energy, Power and Electrical Engineering, EPEE 2023

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

ISBN: (纸本)9798350318180

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. © 2023 IEEE.

关键词： cloud storage distribution network security verification and evaluation

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New understanding of non-uniform propagation mechanism of horizontal fractures in shallow high-permeability reservoirs and research on main controlling factors 58

New understanding of non-uniform propagation mechanism of ho...

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58th US rock Mechanics / Geomechanics Symposium 2024, ArMA 2024

作者： Qiao, Yan Zhang, Yang Shang, Litao Chen, Xidi Chen, Zhao Lei, Fan Bai, Jie CNPC Engineering Technology R&D Company Limited BeiJing China PetroChina Daqing Oilfield Company Daqing China PetroChina Zhejiang Oilfield Company Hangzhou China PetroChina Tuha Oilfield Company HaMi China Research Institute of Petroleum Exploration & Development BeiJing China

ISBN: (纸本)9798331305086

The Changyuan block of daqing oilfield in China has a shallow reservoir burial depth (100md), is in the late stage of development, and has a high water content (>95%).Hydraulic fracturing produced non-uniformly propagating horizontal *** present, the mechanism and controlling factors of non-uniform propagation of horizontal fractures are not well *** this paper, based on the geological numerical model of Changyuan block, the non-uniform propagation of horizontal fracture is *** main conclusions are as follows: the horizontal fracture will expand in the direction of large fracture initiation stress difference (minimum horizontal principal stress - vertical stress);the main controlling factors for the non-uniform propagation of horizontal fracture are construction net pressure, temporary plugging distance, fracture initiation stress difference and its non-uniformity;with the increase of the fracture initiation stress difference non-uniformity, horizontal fractures increased flow conductivity, and the cumulative oil production volume will be *** micro-seismic monitoring results show that the non-uniform propagation law of horizontal fracture is in line with the actual *** is of great significance for the redevelopment of the shallow layer of the old oilfield. Copyright 2024 ArMA, American rock Mechanics Association.

关键词： Horizontal wells

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Computing Power Scheduling Method Based on Long-Term Workload Prediction for Computing Power Platform 6

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

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6th International Conference on Communications, Information System and Computer Engineering, CISCE 2024

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

ISBN: (纸本)9798350353174

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. © 2024 IEEE.

关键词： Computing power

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Extreme Ultraviolet Scatterometry for Characterizing Nanometer Scale Features in a damascene Sample

Extreme Ultraviolet Scatterometry for Characterizing Nanomet...

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2024 Frontiers in Optics, FiO 2024

作者： Klein, C. Jenkins, N. Shao, Y. Li, Y. Park, S. Kim, W. Kapteyn, H. Murnane, M. Department of Physics JILA STROBE NSF Science & Technology Center University of Colorado NIST BoulderCO United States Core Technology R&D Team Mechatronics Research Samsung Electronics Co. Ltd. Hwasung Korea Republic of Advanced Process Development Team 4 Semiconductor R&D Center Samsung Electronics Co. Ltd. Hwasung Korea Republic of Kapteyn-Murnane Laboratories Inc. 4775 Walnut Street #102 BoulderCO80301 United States

We characterize nanoscale out-of-plane features on an industrially relevant semiconductor sample using a coherent extreme ultraviolet high harmonic generation source at 29nm. The advantages of using 13.5nm light are a... 详细信息

关键词： Extreme ultraviolet lithography

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A High-Efficiency Compact rectifier Circuit design for Harvesting rF Signals in Low-Powered Wireless Communication Systems*

A High-Efficiency Compact Rectifier Circuit Design for Harve...

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IEEE Symposium on Wireless technology and Applications (ISWTA)

作者： Surajo Muhammad Osama Abuajwa Sufian Mitani Jun Jiat Tiang Research & Innovation Development Division Telekom Research & Development (TM R&D) TM Innovation Centre Cyberjaya Malaysia Futurist Unit Telekom Research & Development (TM R&D) TM Innovation Centre Cyberjaya Malaysia Faculty of Engineering Centre For Wireless Technology Multimedia University Cyberjaya Malaysia

ISBN: (数字)9798350351354

ISBN: (纸本)9798350351361

This paper presents a compact and efficient rectifier capable of harvesting GSM/900 radio frequency (rF) signals. The design uses an impedance-matching network (IMN) block with a series of short radial and curve stubs and an inductor. The rectifier is designed on rT/duroid substrate and has a total size of $22.10\ \text{mm}\times 8.30\ \text{mm}$ , using a single series diode configuration. The proposed design achieves a maximum power conversion efficiency (PCE) of 83.50% at 1 dBm input power. It can also detect and convert low rF input power below −40 dBm into a usable output dC source, making it suitable for low-powered wireless communication systems. Overall, this compact rectifier is a promising solution for harvesting ambient rF energy and can be used for long transmission with minimal path loss.

关键词： radio frequency Wireless communication Shunts (electrical) rF signals rectifiers Size measurement Propagation losses

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Intelligent Prediction and Key Factor Analysis to Lost Circulation from drilling data based on Machine Learning

Intelligent Prediction and Key Factor Analysis to Lost Circu...

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2022 International Conference on Computer Graphics, Artificial Intelligence, and data Processing, ICCAId 2022

作者： Wen, Guangyao Chen, Huailong Zhou, Tuo Gao, Chengwu Baletabieke, Bahedaer Zhou, Haiqiu Wang, Shan CNPC Amu Darya River Gas Exploration & Development Company Beijing102299 China CNPC Engineering Technology R&D Company Limited Beijing102206 China Beijing Chen Yu Jin Yuan Science and Technology Company Limited Beijing100010 China

ISBN: (纸本)9781510663350

Lost circulation during drilling wells is very detrimental since it greatly increases the non-productive time and operational cost, also seriously lead to wellbore instability, pipe sticking, blow out, etc... However, in the process of drilling wells, geological characteristics and operational drilling parameters all may have impacts to the lost circulation. This makes the establishment of the relations between the lost circulation and drilling factors very challenging. In this paper, we tested five different kernel function (linear, quadratic, cubic, medium Gaussian and fine Gaussian) derived support vector regression (SVr) models and four-layer artificial neural network (ANN). By combining their accuracy and time efficiency, the ANN is regarded as the optimal predictor of lost circulation. By training ANN using different combination of drilling features, we concluded that depth, torque, hanging weight, displacement, entrance density and export density are the key factors to accurate predict the lost circulation. The corresponding trained ANN network can achieve 99.2% accuracy and evaluate whether a drilling feature vector corresponds to lost circulation or not in milliseconds. © 2023 SPIE.

关键词： Multilayer neural networks

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