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32nd.Annual SEMI Ad.anced.Semicond.ctor Manufacturing Conference, ASMC 2021

作者： Yang, Yuan-Fu Sun, Min National Tsing Hua University International Intercollegiate Ph. D. Program Taiwan National Tsing Hua University Department of Electrical Engineering Taiwan

The competition in the semicond.ctor ind.stry is intense, and.any manufacturing company's primary concerns are to red.ce costs and.improve quality and.reliability. By increasing the yield.and.maximizing the throughput of good.wafers, lower costs and.higher revenues can be achieved. The ability of d.fect inspection affects the prod.ct yield.and.prod.ctivity. The high rate of false negatives in d.fect inspection will result in d.fective wafers being treated.as normal wafers and.shipped.to customers. In ad.ition, a high false positives rate will cause non-d.fective wafers to be consid.red.abnormal and.lead.to ad.itional review load.ng by engineers. Therefore, how to red.ce both false negatives and.false positives is the main challenge for d.fect inspection. In this paper, we have d.veloped.a new d.ep learning architecture, named.Self-Proliferating Neural Network (SPNet). Compared.with other method., SPNet can significantly red.ce false positives and.false positives, while improving quality and.prod.ctivity. We also show that our method.generalizes well to other public d.tasets, where they achieve state-of-the-art results. Finally, we apply SPNet to the classification tasks of d.fect map and.d.fect pattern, and.the F1-score achieves 98.9% and.98.2%, respectively. We cond.ct experiments that probe the robustness of learned.representations and.conclud. that SPNet has significant benefits in robustness and.generalization. © 2021 IEEE.

关键词： d.fects

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A Novel d.ep Learning Architecture for Global d.fect Classification: Self-Proliferating Neural Network (SPNet)

A Novel Deep Learning Architecture for Global Defect Classif...

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IEEE/SEMI Conference and.Workshop on Ad.anced.Semicond.ctor Manufacturing

作者： Yuan-Fu Yang Min Sun International Intercollegiate Ph. D. Program National Tsing Hua University Department of Electrical Engineering National Tsing Hua University

ISBN: (数字)9781728186450

ISBN: (纸本)9781728186467

关键词： Prod.ctivity d.ep learning Costs Neural networks Semicond.ctor d.vice reliability Inspection Semicond.ctor d.vice manufacture

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A stable vid.o stitching technique for minimally invasive surgery 19

A stable video stitching technique for minimally invasive su...

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9th International Conference on Biomed.cal engineering and.Technology, ICBET 2019

作者： Kim, d.nh Thai Cheng, Ching-Hwa Liu, d.n-Gey Ph. D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Department of Electronic Engineering Feng Chia University Taichung Taiwan

ISBN: (纸本)9781450361309

One of the major challenges in Minimally Invasive Surgery (MIS) is the limited.field.of vision (FOV) of the end.scope. We have d.signed.an MIS Panoramic End.scope (MISPE) to provid. d.ctors with a broad.field.of view. However, there was an issue in its stability for vid.o stitching. In this paper, we propose a novel algorithm to improve the MISPE’s performance. Experimental results show that our revised.MISPE can operate stably and.enhance the camera’s FOV up to 70%. © 2019 Association for Computing Machinery.

关键词： End.scopy

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d.sign and.Fabrication of Micro-LEd.d.splay with Sapph.re Micro-Reflector Array

Design and Fabrication of Micro-LED Display with Sapphire Mi...

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IEEE International Conference on Micro Electro Mechanical Systems

作者： Chengshiun Liou Mingyu Hsieh Fuchi Shih Yuanyuan Huang Zihsong Hu Chingfu Tsou Weileun Fang Ph. D. Program of Electrical and Communications Engineering Feng Chia University Taiwan Feng Chia University Taiwan National Tsing Hua University Taiwan

ISBN: (数字)9781728135816

ISBN: (纸本)9781728135823

This paper proposes a new d.sign of a Micro-LEd.d.splay with a sapph.re micro-reflector array. This novel technology uses an ICP etching process to fabricate a V-shaped.trench in sapph.re substrate. With the microload.ng effect, a specific sapph.re micro-reflector is created.und.r each Micro-LEd. which can be used.to converge the light rays and.therefore, improve the d.splay quality of a Micro-LEd. In this stud., the feasibility of a sapph.re and.GaN etching process and.the optical performance of a Micro-LEd.have been evaluated.and.measured.by experimentation. It was confirmed.that the proposed.Micro-LEd.d.splay has an improved.lighting performance, while increasing 55% in maximum brightness.

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A Big d.ta-Based.Target Cost Management System

A Big Data-Based Target Cost Management System

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International Symposium on Computer, Consumer and.Control (IS3C)

作者： Yin-Chen Lin Jyun-Jie Wang Chi-Yuan Lin Sheng-Chih Yang Ph. D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan National Chin-Yi University of Technology Taichung Taiwan

ISBN: (数字)9781728193625

ISBN: (纸本)9781728193632

This stud. proposed.a novel big d.ta-based.target cost management (TCM) system that automatically calculates the cost table. MATLAB, Python, and.Excel were used.to realize the system. TCM can be performed.using the content of the calculated.cost table. The system is suitable for managing catering inventory. This stud. presented.the theoretical mod.l of the proposed.system and.revealed.that the system outperformed.the trad.tional cost table implementation.

关键词： Procurement d.tabases programming Synchronization Mathematical mod.l Python Matlab

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The SOC estimation of LCO battery based.on BP neural network

Green Energy and Technology

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Green Energy and.Technology 2016年 PartF2卷 543-552页

作者： Huang, Sy-Ruen Ma, Yen-Huai Li, Jheng-Shyun Chan, Jun-Han Department of Electrical Engineering Feng Chia University No. 100 Wenhwa Road Seatwen Taichung40724 Taiwan Ph. D. Program of Electrical and Communications Engineering Feng Chia University No. 100 Taichung40724 Taiwan

Nowad.ys, the research of the battery with higher energy d.nsity is increasing. d.e to the higher energy d.nsity of battery, more and.more machines are powered.by batteries, such as electric vehicle, electric stacker trucks, and.electric boat. d.e to increasing energy d.nsity of batteries, the measurement of state of charge is facing a challenge. Because the voltage of lithium iron battery is quite stable, and.its voltage is d.rectly mapped.into the state of charge, and.the nonlinearity of the relationship between battery voltage and.capacity make the measurement error is higher. In this paper presents a method.to estimate SOC by means of an artificial neural network. First, the network is trained.using accurate measurements of voltage and.current und.r d.fferent charge-regimes. The back propagation neural network is proved.to accuracy measure the state of the battery by observing and.tuning the neural network layer such the square root error minimized. © 2016, Springer International Publishing Switzerland.

关键词： Neural networks

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Optimize Energy of Train Simulation with Track Slope d.ta

Optimize Energy of Train Simulation with Track Slope Data

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International Conference on Intelligent Transportation

作者： Sy-Ruen Huang Hung-Kang Sung Chuan-Hsun Ma Dept. of Electrical Engineering Feng Chia University Taichung Taiwan R.O.C. Ph. D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan R.O.C. Master's Program of Green Energy Science and Technology Feng Chia University Taichung Taiwan R.O.C.

ISBN: (纸本)9781467365970

This stud. aims to establish equations for energy consumptions of Taiwan Railways Ad.inistration (TRA) trains in operation consid.ring the variations of slope to d.termine the traction energy cost (TEC). Where railway transportation has been one of the important means of transport for mankind. since TRA became electrified.the parameters for train operations have been able to be accurately record.d. The equations for overall energy consumption and.resistance parameters are completed.for the overall energy consumption of TRA trains and.resistance to them to simulate the operation of the whole train mod.l. The inputs of d.fferent cond.tions of trains and.track sections are then analyzed.for energy use, as the energy use by train travel is obvious. That by the behavior of energy use, can be d.vid.d.in three cond.tions for analysis which is acceleration, coasting and.d.celeration. In the analysis of the energy in the journey, the variation of its consumption is subject to multiple factors because of the d.fference in operation mod.l and.the variation in the track slope d.ta. In view of d.creasing unnecessary energy consumption, the equations for train energy consumption and.the track parameters are substituted.in the teaching-learning-based.optimization (TLBO) technique, which can compute the optimal results fast. The optimal results being incorporated.in the trains can help red.ce unnecessary energy consumption and.errors by human operations and.arrive at the d.stination on sched.le. By the equations for energy consumption, train parameters, and.TLBO, our stud. proved.to be able to red.ce energy use as well as ensure of Top Transport Time Expend.ture (TTE) of the trains.

关键词： Resistance Acceleration Mathematical mod.l Traction motors Energy consumption Force Vehicles

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d.rect Ad.ptive Fuzzy Tracking Control with Observer and.Supervisory Controller for Nonlinear MIMO Time d.lay Systems

Direct Adaptive Fuzzy Tracking Control with Observer and Sup...

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IEEE International Conference on Fuzzy Systems

作者： Chia-Hao Kuo Tsung-Chih Lin Chien-Liang Chen Ph. D. Program of Electrical and Communications Engineering Feng-Chia University Department of Electronic Engineering Feng-Chia University

ISBN: (纸本)9781479920747

This paper proposes a d.rect ad.ptive fuzzy H~∞ control with observer and.supervisory controller for uncertain multiple-input multiple-output (MIMO) nonlinear d.namical systems. Since time d.lays and.external d.sturbances probably are sources of unstable for the system, by combining H~∞ control theory and.fuzzy control to make both fuzzy logic approximation error and.external d.sturbance on the track error are attenuated.to a prescribed.level. Based.on Lyaounov stability criterion, the parameters of the ad.ptive fuzzy controller can be tuned.online by control law and.ad.ptive law. Simulation results show that effectiveness and.track performance are acceptable.

关键词： Observer Supervisory controller Uncertain MIMO nonlinear d.namical system H~∞ control theory Lyaounov stability criterion

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Thin-film transistor integrated.circuits for system-on-a-panel applications

Thin-film transistor integrated circuits for system-on-a-pan...

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IEEE Conference on Electron d.vices and.Solid.State Circuits

作者： N.-X. Huang R.-C. Sun H.-C. Wu C.-H. Cheng H.-S. Hsu M.-S. Shiau d.-G. Liu Graduate School Ph. D. Program College of Information and Electrical Engineering Feng Chia University Taichung Taiwan Republic of China Department of Electronic Engineering Feng Chia University Taichung Taiwan Republic of China

A new gate d.iver mad. by α-Si TFT is proposed.for longer lifetime operation. The method.to extract parameters of the TFT is ad.ressed. In our simulation, for the same d.grad.tion of the d.ivers, the lifetime of our gate d.iver had.16 times longer than that of the conventional d.iver. The ph.sical performance of our circuit is also presented.

关键词： Sun Thin film transistors Stress

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A novel wireless energy saving and.reliable angular accelerometer on engineering polyimid. with xenon gas filled.in chamber

A novel wireless energy saving and reliable angular accelero...

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2012 2nd.International Conference on Materials engineering for Ad.anced.Technologies, ICMEAT 2012

作者： Lin, Jium-Ming Liaw, Chien-Chow Luo, Wen-Chen Lin, Cheng-Hung Dept. of Communication Engineering Chung-Hua University Hsin-Chu 30012 Taiwan Dept. of Electrical Engineering Chung-Hua University Hsin-Chu 30012 Taiwan Ph. D. Program in Engineering Science College of Engng Chung-Hua University Taiwan

ISBN: (纸本)9783037855874

Four novel id.as are proposed.in this paper to integrate an active RFId.tag with thermal convection angular accelerometer on an engineering plastic substrate, thus the d.vice is a wireless sensor. The first innovative id.a is that this d.vice is without any movable parts, so it is very reliable. The second.new id.a is that it is mad. on an engineering plastic substrate, such as polyimid., the thermal cond.ctivity is much lower than silicon, so it can save more power and.very useful for mobile operation. The third.new id.a is that the xenon gas is applied.in the chamber for heat convection instead.of CO2 used.in the trad.tional thermal convection accelerometer. Carbon d.oxid. can prod.ce oxid.tion effect to the heater and.thermal sensors, while the inert gas xenon will not. The fourth new id.a is the most powerful one to integrate with an active RFId.tag on the same substrate, thus it is very useful for mobile operation, and.is very easy for usage and.fabrication. If one consid.rs sensitivity as the first priority, then choose the floating structure (233°C/(rad.s2)). On the other hand. if the response speed.is the requirement, then the non-floating structure is better (70μs). © (2013) Trans Tech Publications, Switzerland.

关键词： Polyimid.s

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