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5th IEEE International Women in Technology Conference, WINTECHCON 2024

作者： Singh, Ramya Bagavath Sultania, Gaurav Pedapudi, Lakshmi Narayana Ahn, Joonyoung Song, Je Ung Ahn, Hyomin Smart Equipment Solutions Group Samsung Semiconductor India Research Bangalore India Advanced Process Development Team 4 Semiconductor R&D Center Hwaseong Korea Republic of

ISBN: (纸本)9798350374070

Fin Height is critical quality parameter of DRAM device and its measurement is destructive process. This measurement process has some disadvantages – Destroying wafer/chips, limitation on number of chips for measurement leads to less data samples, and its availability towards end of production cycle. Ability of system to predict fin height early/mid production cycle serves vital role to reduce redundancy and save losses in the production pipeline. With the advent of Spectroscopic methods like Ellipsometry (SE), Reflectometry, Interferometry, it is possible to capture spectral characteristics of devices in non-destructive framework. ML/DL modelling of spectrum data learns fin height characteristics and aids prediction. Simulation of DRAM for spectrum data enables more learning data, helps to enhance fin height prediction by not just data augmentation technique of simulated data to real data. We adopt and employ Domain Adaptation (DA) methods for regression problem where DA mostly dealt with classification problem. We demonstrate significant improvement in fin height prediction accuracy by using simulated data in addition to real data via various Domain Adaptation methods. © 2024 IEEE.

关键词： Dynamic random access storage

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Effects of Welding Factors on Liquid Metal Embrittlement Cracking during Resistance Spot Welding of Zinc-coated High-strength Steel

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ISIJ International 2025年第1期65卷 117-126页

作者： Yu, Yang Zhang, Yongqiang Zhang, Tianyue Cao, Guangxiang Chen, Weixuan Research Institute of Technology of Shougang Group Co. Ltd. Beijing100043 China Beijing Key Laboratory of Green Recycling Process for Iron & Steel Production Technology Beijing100043 China Beijing Engineering Research Center of Energy Steel Beijing100043 China Shougang Jingtang United Iron and Steel Co. Ltd. Tangshan063200 China National Key Laboratory of Advanced Vehicle Integration & Control China FAW Group Co. Ltd Changchun130013 China

During resistance spot welding of zinc-coated advanced high-strength steels (AHSS), cracks which are promoted by liquid metal embrittlement (LME) may occur. According to previous researches, welding current, welding time, electrode tip diameter and electrode misalignment angle are significant factors on LME cracking. In this study, the effects of these four factors on LME cracking were compared with an orthogonal design experiment. After welding, numbers and lengths of cracks were measured, and Crack Index (CI) of each experiment group was calculated for comparison. As the result, two types of LME cracks, i.e., Type A cracks located at the indentation of electrode tip and Type B cracks located at the indentation of electrode shoulder were observed. The order of influence degree on CI of Type A crack from high to low was welding current > electrode tip diameter > electrode misalignment angle > welding time. The order of influence degree on CI of Type B crack was electrode tip diameter > electrode misalignment angle > welding time > welding current. The result reveals that modifying welding current is the most effective way to reduce Type A cracks and optimizing the electrode tip diameter is significant for preventing Type B cracks. © 2025 The Iron and Steel Institute of Japan.

关键词： Zinc coatings

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Design and Simulation of Hinge-type Ro-Ro (Roll-on/Roll-off) Ship Car Deck Structure 33rd

Design and Simulation of Hinge-type Ro-Ro (Roll-on/Roll-off)...

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33rd International Ocean and Polar Engineering Conference, ISOPE 2023

作者： Kim, Hyun Soo Cho, Min Goo Kang, Sung Wook Kim, Jae Woong Pyo, Chang Min Ji, Chang Wook Park, Jang Ik Precision Mechanical Process and Control R&D Group Korea Institute of Industrial Technology Gyeongsangnam-do Jinju Korea Republic of Automotive Materials & Components R&D Group Korea Institute of Industrial Technology Gwangju Korea Republic of Advanced Forming Process R&D Group Korea Institute of Industrial Technology Ulsan Korea Republic of Research center Dae Lyun Engineering Co. Ltd. Busan Korea Republic of

ISBN: (纸本)9781880653807

Ro-Ro ships can roll-on or roll-off cargo with self-driving power such as passenger cars and trucks, and container cargo on transport devices such as trucks or trailers on a ramp. The representative types of Ro-Ro ships are PCC (Pure Car Carrier) and PTCT (Pure Car & Truck Carrier). Ro-Ro ship is configured to load as many cargoes as possible by dividing the cargo hold into multiple card decks up and down. It is necessary to adjust the height of the car deck according to the type of vehicle being loaded. For this purpose, a number of fillers are installed on the inner deck of the Ro-Ro ship. In other words, to load high cargo such as heavy equipment on the car deck, the height between the decks must be high. At this time, the liftable car deck is adjusted using the deck lifter installed on the pillar. Existing liftable car deck structures are made of a single large plate, so it takes a lot of time and money to install and dismantle them. In this study, a hinge-type liftable car deck was designed. In addition, the overall structural integrity including the hinge was evaluated through structural analysis in accordance with the classification regulations. © 2023 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Arctic engineering

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Domain Adaptation Based fin Height Measurement for DRAM

Domain Adaptation Based fin Height Measurement for DRAM

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Women in Technology Conference (WINTECHCON), 2022 IEEE

作者： Ramya Bagavath Singh Gaurav Sultania Lakshmi Narayana Pedapudi Joonyoung Ahn Je Ung Song Hyomin Ahn Smart Equipment Solutions Group Samsung Semiconductor India Research Bangalore India Advanced Process Development Team 4 Semiconductor R&D Center Hwaseong South Korea

ISBN: (数字)9798350374070

ISBN: (纸本)9798350374087

Fin Height is critical quality parameter of DRAM device and its measurement is destructive process. This measurement process has some disadvantages - Destroying wafer/chips, limitation on number of chips for measurement leads to less data samples, and its availability towards end of production cycle. Ability of system to predict fin height early/mid production cycle serves vital role to reduce redundancy and save losses in the production pipeline. With the advent of Spectroscopic methods like Ellipsometry (SE), Reflectometry, Interferometry, it is possible to capture spectral characteristics of devices in non-destructive framework. ML/DL modelling of spectrum data learns fin height characteristics and aids prediction. Simulation of DRAM for spectrum data enables more learning data, helps to enhance fin height prediction by not just data augmentation technique of simulated data to real data. We adopt and employ Domain Adaptation (DA) methods for regression problem where DA mostly dealt with classification problem. We demonstrate significant improvement in fin height prediction accuracy by using simulated data in addition to real data via various Domain Adaptation methods.

关键词： Semiconductor device measurement Pipelines Random access memory Termination of employment Production Reflectometry Predictive models Height measurement Transistors Interferometry

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Non-Monotonic Lyapunov-Krasovskii Functional Approach to Stability Analysis and Stabilization of Discrete Time-Delay Systems

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IEEE/CAA Journal of Automatica Sinica 2020年第3期7卷 752-763页

作者： Younes Solgi Alireza Fatehi Ala Shariati Advanced Process Automation and Control Research Group Industrial Control Center of ExcellenceFaculty of Electrical EngineeringK.N.Toosi University of TechnologyTehran 16317-14191Iran IEEE

In this paper, a novel non-monotonic Lyapunov-Krasovskii functional approach is proposed to deal with the stability analysis and stabilization problem of linear discrete time-delay systems. This technique is utilized to relax the monotonic requirement of the Lyapunov-Krasovskii theorem. In this regard, the Lyapunov-Krasovskii functional is allowed to increase in a few steps, while being forced to be overall decreasing. As a result, it relays on a larger class of Lyapunov-Krasovskii functionals to provide stability of a state-delay system. To this end, using the non-monotonic Lyapunov-Krasovskii theorem, new sufficient conditions are derived regarding linear matrix inequalities(LMIs)to study the global asymptotic stability of state-delay ***, new stabilization conditions are also proposed for time-delay systems in this article. Both simulation and experimental results on a p H neutralizing process are provided to demonstrate the efficacy of the proposed method.

关键词： Linear matrix inequality(LMI) non-monotonic Lyapunov-Krasovskii functional(NMLKF) pH neutralization plant stabilization state-delay system time-delay system

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Consistent CoM Trajectory Generation for Biped Locomotion

Consistent CoM Trajectory Generation for Biped Locomotion

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International Conference on Signal processing and Integrated Networks (SPIN)

作者： Kumod K. Sharma Sunil Nimje S. E. Talole Systems & Control Group Research & Development Estt (Engrs) Pune India Department of Mechanical Engineering Defence Institute of Advanced Technology Pune India

In bipedal robot locomotion, generation of Center of Mass (CoM) trajectory forms an essential component in gait pattern generation using approximate models. Towards this, rolling sphere model as an approximate model has been widely studied for biped walk. In this work, the rolling sphere model is used to generate realizable bipedal walk by improving an existing approach. In doing so, a consistent CoM trajectory is derived with a desirable Zero Moment Point (ZMP) making the resulting gait more practical. The efficacy of the formulation has been validated through simulation using parameters of humanoid robot NAO.

关键词： Legged locomotion Humanoid robots Signal processing control systems Trajectory Foot

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Upgrading and testing of the UPV/EHU Stellarator 13

Upgrading and testing of the UPV/EHU Stellarator

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13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022

作者： Garrido, Aitor J. Marco, Aitor De La Sen, Manuel Oleagordia, Inigo Garrido, Izaskun University of the Basque Country - UPV/EHU Automatic Control Group - Acg Institute of Research and Development of Processes - Iidp Department of Automatic Control and Systems Engineering Faculty of Engineering of Bilbao Po Rafael Moreno 3 Bilbao48013 Spain University of the Basque Country - UPV/EHU. Automatic Control Group - Ac Advanced Design and Analysis Department Idom Zarandoa Etorb. 23 Bilbao48015 Spain University of the Basque Country - UPV/EHU Automatic Control Group - Acg Institute of Research and Development of Processes - Iidp Department of Electricity and Electronics Faculty of Science and Technology B° Sarriena s/n Leioa48080 Spain

ISBN: (数字)9781665463904

ISBN: (纸本)9781665463904

This paper deals with the upgrade and testing of the of the Ultra-Low Iota Super Elongated Stellarator of the University of the Basque Country. The main upgrades affect to the coil system but also to the microwave source and the data acquisition system. Therefore, it is necessary to update its State-Space model. The updated model is validated by means of experimental output data showing an accurate matching with the real system. Then, in order to test the new model, a Model Predictive control-MPC scheme is successfully implemented both in simulation and experimentally using a real-time control platform. © 2022 IEEE.

关键词： Model predictive control

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Convolution Short-time Passenger Flow Prediction Model of Urban Rail Transit Considering Interpretability 15

Convolution Short-time Passenger Flow Prediction Model of Ur...

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15th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024

作者： Yu, Xue Yong, Qin Jianyuan, Guo Xuan, Sun Xuanchuan, Zheng Yaguan, Wang Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing China Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Key Laboratory of Railway Industry of Proactive Safety and Risk Control Beijing Jiaotong University Beijing China Beijing Urban construction Design and Development Group Co. Ltd. School of Traffic and Transportation Beijing Jiaotong University Beijing China Beijing Metro Operation Co. Ltd. Technology Innovation Research Institute Branch Beijing China

ISBN: (纸本)9798350354010

This study focuses on the passenger flow prediction in subway stations, especially in the micro-network scenario. We use Granger causality analysis method and deep learning model to explore the relationship of passenger flow, which improves the accuracy and interpretability of short-term prediction of urban rail transit passenger flow. Based on the analysis of temporal and spatial causality of monitoring points, a convolution short-time passenger flow prediction model (ICCM-URTPFP model) of urban rail transit causality considering interpretability was constructed, and compared with the traditional model, which verified its advantages in passenger flow prediction. © 2024 IEEE.

关键词： Prediction models

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Efficient conversion of benzene and syngas to toluene and xylene over ZnO-ZrO_(2)&H-ZSM-5 bifunctional catalysts

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Chinese Journal of Chemical Engineering 2022年第5期35卷 203-210页

作者： Xiao Zhao Xuan Shi Zhongshun Chen Long Xu Chengyi Dai Yazhou Zhang Xinwen Guo Dongyuan Yang Xiaoxun Ma School of Chemical Engineering Northwest UniversityXi’an 710069China International Science&Technology Cooperation Base for Clean Utilization of Hydrocarbon Resources Chemical Engineering Research Center of the Ministry of Education for Advanced Use Technology of Shanbei EnergyCollaborative Innovation Center for Development of Energy and Chemical Industry in Northern ShaanxiNorthwest UniversityXi’an 710069China School of Chemical Engineering Dalian University of TechnologyDalian 116024China Shaanxi Key Laboratory of Energy Chemical Process Intensification School of Chemical Engineering and TechnologyXi’an Jiaotong UniversityXi’an 710049China Shanxi yanchang Petroleum(Group)Corp.LtdXi’an 710000China

A series of ZnO-ZrO_(2) solid solutions with different Zn contents were synthesized by the urea coprecipitation method,which were coupled with H-ZSM-5 zeolite to form bifunctional *** a new benzene alkylation reagent,syngas was used instead of methanol to realize the efficient conversion of syngas and benzene into toluene and xylene.A suitable ratio of ZnO-ZrO_(2) led to the significant improvement in the catalytic performance,and a suitable amount of acid helped to increase the selectivity of toluene/xylene and reduce the selectivity of the by-products ethylbenzene and C^(9+) *** highest benzene conversion of 89.2%and toluene/xylene selectivity of 88.7%were achieved over 10%ZnO-ZrO_(2)&H-ZSM-5(Si/Al=23)at a pressure of 3 MPa and a temperature of 450℃.In addition,the effect of the zeolite framework structure on product distribution was *** to the molecular dynamics of aromatic hydrocarbons,H-ZSM-5 zeolites comprise 10-membered-ring pores,which are beneficial to the activation of benzene;hence,the conversion of benzene is higher.H-ZSM-35 and HMOR zeolites exhibited small eight-membered-ring channels,which were not conducive to the passage of benzene;hence,the by-product ethylbenzene exhibits a higher *** distance between the active centers of the bifunctional catalysts was the main factor affecting the catalytic performance,and the powder mixing method was more conducive to the conversion of syngas and benzene.

关键词： ZnO-ZrO_(2) Bifunctional catalysts Aromatics Alkylation of benzene Syngas

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Evaluation of Metabolites Derived from Lactic Acid Bacteria Isolated from Kimchi

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ACS Symposium Series 2019年 1303卷 3-10页

作者： Hwang, Hyelyeon Lee, Jong-Hee Research and Development Division Advanced Process Technology and Fermentation Research Group World Institute of Kimchi Gwangju61755 Korea Republic of

Food fermentation facilitates long-term storage and increases the amount of active metabolites produced by lactic acid bacteria (LAB), with consequent beneficial effects for human health. Therefore, the identification of metabolites from fermented foods is important in elucidating the fermentation mechanism and improving the taste, flavor, and amount of active compounds. In this study, we cultured LAB isolated from kimchi and performed liquid chromatography-tandem mass spectrometry with principal-component analysis to analyze the metabolites produced. Kimchi is a popular Korean fermented food with numerous health benefits, and its constituent bacteria have been well-characterized. We have demonstrated that the application of an untargeted metabolomics approach can identify bacteria-specific metabolites. Using this approach, we were able to identify production of the LAB metabolite HICA and showed that HICA catabolism is positively associated with acidic environments, which is the primary physiological phenotype of fermentation. Therefore, elucidation of the specific metabolites produced by these LAB strains used in kimchi fermentation can help to provide further insight into the fermentation process and improve the nutritive value of the product. © 2019 American Chemical Society. All rights reserved.

关键词： Metabolites

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