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2023 IEEE International Symposium on Inertial Sensors and Systems (INErTIAL)

作者： Woo-Seok Choi Jun-Eon An Cheon-Joong Kim Kyu-Min Shim The 1 R&D Institute 6th DIR. Agency for Defense Development Daejeon Republic of Korea Emerging Science and Technology DIR. Agency for Defense Development Daejeon Republic of Korea

This study proposes a combination of fast and slow dithering in a ring laser gyroscope (rLG) and analyzes the related characteristics through numerical experiments. The results of this study are significant compared to the existing methods that use sinusoidal dithering with a single frequency component. The results show that the proposed method can contribute to developing new alternatives for improving rLG performance when high static lock-in frequencies are considered.

关键词： Inertial sensors ring lasers Gyroscopes Nonlinear dynamical systems

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Single and Multi NPU Chiplet Heterogeneous Integration packaging based on Fanout rdL interposer with Silicon bridge technology

Single and Multi NPU Chiplet Heterogeneous Integration packa...

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Electronic Components and technology Conference (ECTC)

作者： Lewis Kang Jay Kim Bruce Lee Jade Park Han Ju Yu Sung Hyuk Lee Jacinta Aman Lim Min Ji Lee Seong Hwan Han Jae Kyung Lee Hailey Hwang SEMI R&D Center Corporate CTO Unit Nepes Corporation Republic of Korea Corporate CTO Unit Nepes Corporation Republic of Korea Advanced Technology Part SEMI R&D Center Corporate CTO Unit Nepes Corporation Republic of Korea Oversee Sales Part Business Development Div. Nepes Corporation USA

ISBN: (数字)9798350375985

ISBN: (纸本)9798350375992

A chiplet is a die that is designed to be integrated with other chiplets in some type of advanced package. That package could be a system-in-package (SiP), 2.5d (planar or vertical), or 3d-IC. Nearly all chiplets in use today are being developed with some sort of standard interconnect or protocol and re-use them across multiple designs. Logic, memory, sensors, MEMS, mixed-signal, or any one of a variety of different functions can be developed as chiplets. And a 28nm chiplet may be placed next to, and work together with, a 5nm chiplet. The concept is basically to shrink a printed circuit board and put all the pieces into a much smaller space. That increasingly exceeds the size of a reticle, which 858mm² with EUV steppers, and 429mm² with high-NA EUV *** has been developing NPU (Neuromophic Processor Unit) to be integrated together with memory(HBM) or other chiplets by 2.5d Heterogeneous Integration technology. 2.5d Heterogeneous Integration package includes Fan-out based on rdL interposer. Two types of 2.5d package were considered according to the applications, like edge computing or data center computing, kind of more complicated application. The application of edge computing would be less performance compared to the application of data center computing. Then, its NPU needs to be interconnected with memory (HBM or ddr) directly while multi NPUs need to be integrated with memories by embedded bridge technology inside rdL interposer. In case of multi NPUs packaging with memories, Silicon bridges need to be embedded inside rdL interposer as a signal interconnection between NPU and memory or between NPU and ***, single NPU packaging with memory has been developed by applying rdL interposer technology in terms of edge computing application. Single NPU was integrated with two HBM3 on an rdL organic interposer which consists of multi rdL layers (over 6 layers without UBM and pad layer) with minimum line and space of 2 um. In order to interconnect between

关键词： Heating systems Bridges System-in-package Multichip modules Integrated circuit interconnections Bridge circuits Computer architecture

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Analysis of Compression deformation at High-Temperatures and FEM Simulation for BaTiO3 Sintered Compacts

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Funtai Oyobi Fummatsu Yakin/Journal of the Japan Society of Powder and Powder Metallurgy 2024年第9期71卷 427-438页

作者： Tanaka, Hiroyuki Matsubara, Hideaki Yokota, Hideaki Iguchi, Toshihiro Takagi, Yuko Nomura, Hiroshi Terasaka, Sota Igimi, daisuke Technology HQ TDK Corporation 2-15-7 Higashi-Ohwada Ichikawa272-8588 Japan Graduate School of Environmental Studies Tohoku University 6-6-20 Aramaki Aza Aoba-ku Sendai980-8579 Japan Prior Art Development Dept. Ceramic Capacitors Business Group TDK Corporation 570-2 Matsugashita Minamihatori Narita282-8558 Japan Materials R&D Lab Japan Fine Ceramics Center 2-4-1 Mutsuno Atsuta-ku Nagoya456-8587 Japan

In shis study, yield stress equation, flow rules and physical properties of barium titanate (BaTiO3) are experimentally obtained. These basic equations and coefficient of flow stress are introduced to finite element method and sintering behavior of barium titanate bulk is simulated. From the uni-axis compression test, yield stress equation of BaTiO3 is expressed by Shima’s equation and flow rule is written by plastic equiation. The coefficient of flow stress of BaTiO3 is significantly smaller than literature Alumina and the value is different when the grain size is different. The experimental sintering deformation is quantitatively reproduced by numerical simulation, where basic equation and physical properties are exprerimentally introduced. In addition, the coefficient of flow stress could be determined by simulation sensitivily analysis. Through this study, experimentally obtained yield stress equation, flow rules and coefficient of flow stress are numerically validated. © 2024 Japan Society of Powder and Powder Metallurgy.

关键词： Yield stress

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Co-training Semi-supervised Learning Algorithm for Classification of Seismic Facies of Carbonate Tidal Channels 11th

Co-training Semi-supervised Learning Algorithm for Classific...

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11th International Field Exploration and development Conference, IFEdC 2021

作者： Wang, ru-yi Wang, Zhi-zhang Yang, Xiang-Tong Xu, Zhen-yong Guo, Fa-jun Downhole Operation Research Department CNPC Engineering Technology R&D Company Limited Beijing China College of Geosciences China University of Petroleum-Beijing Beijing China Research Institute of Petroleum Exploration and Development Beijing China Research Institute of Exploration and Development PetroChina Hua Bei Oilfield Company Shangqiu China

ISBN: (纸本)9789811921483

This primary goal of this study was to improve the accuracy of seismic identification of carbonate tidal channels and to achieve quantitative characterization of seismic facies. This paper is the first to present a co-training semi-supervised learning algorithm for use with seismic and drilling data to identify the sedimentary microfacies patterns of tidal channels within carbonate reservoirs. Co-training is a semi-supervised machine learning algorithm by which the feature dataset is split into two subsets, and a classifier is established for each feature subset. Each subset is re-trained based on the classification results of the other subset until the same classification results are obtained for most of the data in the two subsets. Taking the Mb1-3 subzone of the Mishrif Formation, West Qurna Oilfield-1 (Iraq) as an example, we employed zero-crossing-wrapping method to extract 18 seismic attributes of the target zone. The sliding window method was used to optimize 12 seismic attributes, and a hierarchical clustering algorithm based on correlation coefficients was used to group these seismic attributes. Using the two seismic attribute groups as feature data, we employed logistic regression, decision tree, and the k-nearest neighbor classifiers to conduct co-training semi-supervised learning for the classification and identification of tidal channels and lagoons. The results showed that the co-training semi-supervised learning algorithm improved the accuracy rate of each classifier, reduced background noise and clutter signals, and enhanced the continuity of the plane distribution of the tidal channel prediction results. In summary, the co-training semi-supervised learning algorithm significantly improved the efficiency of seismic facies identification of tidal channels. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Learning algorithms

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Exploring the role of Natural Language Processing in Educational Chatbots: A Machine Learning Approach 7

Exploring the Role of Natural Language Processing in Educati...

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7th International Conference on Contemporary Computing and Informatics, IC3I 2024

作者： reddy, G. Swamy rizvi, Haider Ali Kochhar, Harmeet Kaur Shaikh, Ajim Udhayakumar, r. dhanraj, Joshuva Arockia Sr University School of Sciences Warangal India Shoolini University Yogananda School of Artificial Intelligence India University Institute of Media Studies Chandigarh University India Pune India Institute of Science and Technology VelTech Rangarajan Dr Sagunthala R&d Avadi TamilNadu Chennai India Lovely Professional University Research and Development Cell Jalandhar-Delhi Grand Trunk Road Punjab Phagwara144411 India

ISBN: (纸本)9798350350067

AI in the classroom instruction of languages an exciting potential effect that is altering teaching strategies and student involvement. Everything is simply achievable, including chatbots and natural-language processing (NLP) technology. Therefore, in order to verify the influence of AI on language acquisition, this study will evaluate the research, concentrating on programs like ChatGPT that provide individualized and engaged educational opportunities. Inversely, AI-driven chatbots that imitate real-world interactions, such as ChatGPT, supply very adaptable and accessible language training tools. Yet, forthcoming problems with correctness, societal prejudices, and the most suitable usage of AI stress their early promise. These demand that teachers and students improve their digital skills in order to use AI technology in a responsible and effective way. With a focus on present developments and potential futures, it highlights the crucial role artificial intelligence (AI) is playing in revolutionizing language teaching. © 2024 IEEE.

关键词： Adversarial machine learning

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Experimental investigation on the distribution uniformity and pressure drop of perforated plate distributors for the innovative spray-type packed bed thermal storage

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Particuology 2022年第2期20卷 60-73页

作者： Lin Lin Liang Wang Xipeng Lin Ningning Xie Haisheng Chen Institute of Engineering Thermophysics Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Dalian National Laboratory for Clean Energy Chinese Academy of SciencesDalian 116023China National Energy Large Scale Physical Energy Storage Technologies R&D Center of Bijie High-tech Industrial Development Zone Guizhou 551712China Institute of Science and Technology China Three Gorges CorporationBeijing 100038China

As an innovative thermal energy technology,the spray-type packed bed has advantages of high efficiency and low cost.A liquid distributor is the key component for the spray-type packed bed for scattering heat-transfer liquid drops *** this study,the distribution performance and pressure drop of the perforated plate distributors of different orifice diameters were studied *** experimental results indicate that orifice diameter has a greater effect on the distribution performance compared to flow *** an increase in flow rate,the flow pattern through the distributor changes from the uncovered drop to the covered drop and then to the jet *** covered drop pattern shows the best performance with a good distribution and a small pressure drop simultaneously,which is the design and optimization principle of the distributor for a spray-type packed bed.

关键词： Spray-type packed bed Perforated plate distributor distribution Pressure drop Thermal energy storage

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research and application of supramolecular gel plugging agent in abnormal pressure reservoir 10

Research and application of supramolecular gel plugging agen...

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10th Global Conference on Materials Science and Engineering, CMSE 2021

作者： Baletabieke, B. Gu, Y.X. Zhou, T. duan, d.X. Liu, J.T. Kong, X.J. Qian, F. Li, W.J. Zhong, Z. Xiang, Y. Jing, N. Li, J.Y. CNPC Engineering Technology R&D Company Limited Beijing102206 China China National Oil and Gas Exploration and Development Corporation Beijing100034 China

The Aktobe project is the largest oil and gas producing area of PetroChina in Central Asia. However, after years of exploitation, the pressure of the reservoir has dropped, making it difficult to increase the production of a single well. Both the Kenkyak block and North Troyes block of the project have induced fractured leakage, and frequent leakage affects safe and efficient drilling and completion operations and production. Therefore, the research on leakage prevention and control technology is very necessary. This article focuses on the characteristics of the cracks in the high-pressure area of the Kenkyak block and the cracks in the low-pressure area of the North Troyes block. Aiming at the fracture characteristics of the high-pressure zone in the Kenkyak block and the low-pressure zone in North Troyes block, and taking advantage of the synergistic effect of supramolecules, a supramolecular plugging-while-drilling agent was developed based on the deformable fiber composite gel. It forms a strong adhesion plugging layer on the inner wall of the leakage channel through the strong adhesion force, and it achieves a good plugging effect. The 300-500md sand disc bearing pressure could reach 700psi when adding 3% agent, and the bearing pressure of 3-5d permeability sand disc could reach above 450psi. A supramolecular static plugging agent was also developed based on the dilatant gel. It is rich in strong shear reversible gel with supramolecular structure, which guarantees its pumpability and plugging performance. The effective rate of one-time plugging is over 80%, and the viscosity is greatly reduced after the gel is broken for 72hr, which benefits the reservoir protection. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Adhesion

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research and application of drilling rig optimization model

Research and application of drilling rig optimization model

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2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE)

作者： Yue Xiao Tuo Zhou Guojun Liu Xuanren Chen Xiangji Kong Yu Zhang Longlong Liu Shunong diao CNPC Engineering Technology R&D Co. LTD PetroChina International Exploration and Development Co. LTD Overseas Drilling and Completion Technology Center Beijing China PetroChina International Exploration and Development Co. LTD Beijing China Changchun University of Technology Changchun China China University of Petroleum (Beijing) Beijing China

ISBN: (数字)9798331506230

ISBN: (纸本)9798331506247

The optimal selection of drilling rigs is crucial for the rational arrangement of drilling rigs in multi operation teams, the improvement of moving operation management level, and the enhancement of drilling operation quality and efficiency. At present, the optimal selection of drilling rigs only considers whether the drilling meets the needs of the drilling project and the moving distance, and cannot comprehensively and scientifically select drilling rigs, which is not conducive to the rational configuration evaluation of oilfield drilling rig operation. This article comprehensively considers key indicators such as drilling efficiency, time efficiency, moving cycle, moving cost, and moving distance, innovatively forms a pentagonal drilling rig optimization coordinate system, establishes drilling rig optimization rate, comprehensive standard deviation, drilling rig optimization comprehensive standard deviation and other indicators, and forms a drilling rig optimization model for drilling. Taking Block B as an example, the priority of Block B with three drilling rigs to be optimized calculated using the model is ${\mathrm {r}}1\gt {\mathrm {r}}2\gt {\mathrm {r}}3$.The optimal selection rate of drilling r1 is the highest, the comprehensive standard deviation is smaller, and the comprehensive index of the best and more stable drilling performance is the highest, which is 0.0058. Therefore, r1 should be selected for drilling. The drilling rig optimization model proposed in this paper provides a process reference for drilling rig optimization, quantifies various indicators, and provides a theoretical basis for new well drilling rig optimization, project company drilling rig operation plan formulation, and improving project company drilling rig management level.

关键词： drilling Costs Uncertainty Optimization models Computational modeling Stability criteria Companies Complexity theory Standards Optimization

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A Precision Enhancement deep Learning Framework for Package Substrate defect detection

A Precision Enhancement Deep Learning Framework for Package ...

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International Microsystems, Packaging, Assembly and Circuits technology (IMPACT)

作者： Yi-Chung Hsu Wong-Shian Huang AI & Advanced Optical Technology Development Division Corporate R&D Advanced Semiconductor Engineering (ASE) Inc. Zhubei City Hsinchu County 302 Taiwan R.O.C.

In the manufacturing industry, producing a large quantity of highquality products every day is the top priority. recently, the integration of Automated Optical Inspection (AOI) equipment and deep Neural Network (dNN) defect image predictions has demonstrated a significant reduction in manual effort required for defect inspection in manufacturing industrial applications. However, during substrate manufacturing, changes in in-process conditions can lead to unexpected variations in defects, such as combinations of multiple defects or anomalies that humans are not familiar with. Consequently, mainstream dNN-based object detection (Od) methods have yet to achieve the desired accuracy for detecting these defects images in production line, and hence human visual inspections remain essential. In this paper, we propose a defect detection framework to both reduce the need for human examination and maintain the high quality of normal products for downstream processes. This method integrates three dNN methods: Od, anomaly detection (Ad), and auxiliary classification (AC). Od constructs hyperplanes for bounding-box objects and classes. Ad measures distances between embedding vectors trained from normal samples to detect anomalies. AC operates by centering the object proposed by Od within a cropped image and re-judging the object's class, which can refine Od's anchor-based training. We conducted an ASE manufacturing dataset experiment, and our method reduced human examination by 28%, with only a 2.8% underkill rate. Combining Od and AC achieved 93.21% defect classification accuracy, surpassing mainstream accuracy 89.74%. With the assistance of our new framework, we are able to simultaneously reduce the manual efforts for examination and increase the accuracy of defect classification. When applied in MFG production lines, this technology can surely assist our factory operation, enabling us to better meet a smart factory requirements.

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Space-filling experimental design for efficient Bayesian optimization

Space-filling experimental design for efficient Bayesian opt...

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Joint e-Manufacturing and design Collaboration Symposium (eMdC) & International Symposium on Semiconductor Manufacturing (ISSM)

作者： Shigeru Kinoshita Yuta Inoue Tetsuro Watanabe Kosuke Ikeda Seiwa Nishio Atsushi Teruya Naoki Sakai Takashi Goda Frontier Technology R&D Institute KIOXIA Corporation Yokohama-shi Japan Advanced Memory Development Center KIOXIA Corporation Yokkaichi-shi Japan Graduate School of Engineering The University of Tokyo Bunkyo-ku Japan

ISBN: (数字)9798331510589

ISBN: (纸本)9798331510596

In this study, we propose a space-filling Latin hypercube design with small fill distance and large separation radius based on simulated annealing for efficient Bayesian optimization. Through an example focused on optimizing high aspect ratio hole etching, we demonstrate that initial sampling with the proposed design is advantageous compared to conventional designs in terms of the convergence of Bayesian optimization with fewer experiments.

关键词： Wet etching Atomic layer deposition Simulated annealing Semiconductor device manufacture Hypercubes Bayes methods Optimization Convergence

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