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5th International Symposium on Next-Generation Electronics, ISNE 2016

作者： Kim, dinh-Thai Cheng, Ching-Hwa 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)9781509024391

Minimally Invasive Surgery (MIS) is a current prevalent technique for surgical operations. Compared with traditional surgical methods, MIS can reduce the post-surgical recovery time, as well as the costs and pain patients endure as a result of surgery. It is therefore of interest to both doctors and patients. The major problem of MIS is there being a narrow field of vision. We have developed and validated a MIS Panoramic Endoscope (MISPE) [4] to provide doctors with broad fields of view. MISPE features a combination of image overlapping and image stitching. The panoramic image apparatus has two side-by-side endoscopic lenses that provide wide-angle inputs for image stitching. MISPE can provide doctors with panoramic images, so that doctors can easily discriminate the organ's positions between surgical operations. The two issues of concern of MISPE are the quality and speed of image stitching. However, the image stitching results of MISPE cannot be obtained by using the conventional SIFT[1], SURF[2], or ORB[3] algorithms. Therefore, this paper proposes few novel techniques to improve the image stitching performance of MISPE. Experimental results show that MISPE can enhance the image size by up to 150%. We also obtained 2X performance improvement in comparison with the conventional techniques. © 2016 IEEE.

关键词： Endoscopy

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Rotational speed sensors based on a fiber Bragg grating

Rotational speed sensors based on a fiber Bragg grating

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OptoElectronics and communications Conference, OECC

作者： Hung-Ying Chang Chuan-Ying Huang Wen-Fung Liu Jia-Guan Li Chan-Yu Kuo Ming-Yue Fu Ph.D. Program of Electrical and Communications Engineering Feng-Chia University Taichung Taiwan (R.O.C.) Department of Electrical Engineering Feng-Chia University Taichung Taiwan (R.O.C.) Center for General Education Air Force Academy Kaohsiung Taiwan (R.O.C.)

A novel rotational speed sensor consisting of a fiber Bragg grating is proposed. As the grating glued to the surface of a metal rod was driven by a disc, the grating wavelength was shifted back and forth to cause the ... 详细信息

关键词： Velocity control Sensors Metals Fiber gratings Gratings Rotation measurement

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A panoramic stitching vision performance improvement technique for Minimally Invasive Surgery

A panoramic stitching vision performance improvement techniq...

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International Symposium on Next-Generation Electronics (ISNE)

作者： dinh-Thai Kim Ching-Hwa Cheng 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)9781509024407

关键词： Videos Minimally invasive surgery Graphics processing units Endoscopes Cameras

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Improving high-resistance state uniformity and leakage current for polyimide-based resistive switching memory by rubbing post-treatment

Improving high-resistance state uniformity and leakage curre...

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作者： Hsiao, Yu-Ping Yang, Wen-Luh Wu, Chi-Chang Lin, Li-Min Chin, Fun-Tat Lin, Yu-Hsien Yang, Ke-Luen Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung 407 Taiwan Department of Electronic Engineering Feng Chia University Taichung 407 Taiwan Graduate Institute of Nanomedicine College of Biomedical Engineering Taipei Medical University Taipei 110 Taiwan Department of Electronic Engineering National United University Miaoli 360 Taiwan Daxin Materials Corporation Taichung 407 Taiwan

In this study, a polyimide (PI) thin film is synthesized as a resistive switching layer for resistive random access memory (ReRAM) applications. The experimental results on polyimide thickness show that the Schottky effect between the interface of polyimide and metal thin films is the dominant mechanism in the high-resistance state (HRS). We, therefore, propose a rubbing post-treatment to improve the device performance. Results show that the uniformity and leakage of the memory in the HRS, as well as the power consumption in the low-resistance state (LRS), are improved. The power density of the set process is less than half after the rubbing post-treatment. Moreover, the power density of the reset process can be markedly decreased by about two orders of magnitude. In addition, the rubbed ReRAM exhibits a stable storage capability with seven orders of magnitude ION/IOFF current ratio at 85 °C. © 2016 The Japan Society of Applied physics.

关键词： Polyimides

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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

Nowadays, the research of the battery with higher energy density is increasing. due to the higher energy density of battery, more and more machines are powered by batteries, such as electric vehicle, electric stacker trucks, and electric boat. due to increasing energy density 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 directly 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 under different 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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Resistive-switching crossbar memory based on Si3N4/SiO2 bi-layer structure and copper chemical displacement technique

Resistive-switching crossbar memory based on Si3N4/SiO2 bi-l...

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Indium phosphide and Related Materials Conference

作者： Li-Min Lin Ming-Fang Kao Yu-Hsien Lin Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taiwan Department of Electronic Engineering Feng Chia University Taiwan Department of Electronic Engineering National United University Taiwan

ISBN: (纸本)9781509019656

In this study, a nanowire crossbar Si 3 N 4 /SiO 2 bi-layer resistive random access memory (ReRAM) with copper (Cu) electrode has been fabricated successfully by a Cu chemical displacement technique (Cu-CdT). The Cu-CdT could overcome the difficulties of Cu dry etching and achieve a high density crossbar array of Cu-based ReRAM. Compared with other Cu deposition techniques, Cu-CdT exhibits several advantages such as simple process, low cost and high displacement selectivity. Besides, this nanowire crossbar bi-layer ReRAM demonstrates stable distribution of set and reset operation voltage, remarkable endurance properties, and stable data retention performance at high temperature. The excellent reliability properties could be ascribed to the Si 3 N 4 /SiO 2 bi-layer structure, which controls and limits the amount of Cu ion to migrate into resistive layer.

关键词： Silicon Copper Chemicals Compounds Electrodes

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A high-sensitivity two-dimensional inclinometer based on two etched-chirped fiber gratings

A high-sensitivity two-dimensional inclinometer based on two...

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International Conference on photonics in Switching (PS)

作者： Hung-Ying Chang Kuan-Ting Li Po-Chia Huang Jung-Sheng Chiang Nai-Hsiang Sun Wen-Fung Liu Ph.D. Program of Electrical and Communications Engineering Feng-Chia University Taichung Taiwan Department of Automatic Control Engineering Feng-Chia University Taichung Taiwan Department of Electrical Engineering Feng-Chia University Taichung Taiwan Department of Electrical Engineering I-Shou University Kaohsiung Taiwan

We proposed a novel high-sensitivity dual-axis fiber inclinometer based on two etched chirped fiber Bragg gratings (CFBGs) with the CFBG1-sensitivity of 0.245 nm/degree and CFBG2-sensitivity of 0.215 nm/degree respect... 详细信息

ISBN: (纸本)9781509021475

关键词： Optical fiber sensors Optical fibers Chirp Stimulated emission

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Adaptive fuzzy sliding mode active vibration control for rail vehicle pantograph

Adaptive fuzzy sliding mode active vibration control for rai...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Tsung-Chih Lin Jian-Lin Yeh Chia-Hao Kuo Yu-Chen Lin Valentina E. Balas Department of Electronic Engineering Feng-Chia University Taichung Taiwan Ph.D. Program of Electrical and Communications Engineering Feng-Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Department of Automation and Applied Informatics Aurel Vlaicu University of Arad Arad Romania

ISBN: (纸本)9781509006274

In this paper, the uncertain dynamic active pantograph-catenary system which considers the effect of time-varying stiffness resulting from the uneven overhead wire is investigated to improve current collection for light rail vehicle. In order to achieve stable current collection, and hence improve the performance of the overall electricity supply, sliding mode control strategy and adaptive fuzzy sliding mode control scheme are combined. The uplift force which is applied to pantograph frame by actuator is constructed by incorporating fuzzy neural network (FNN) and sliding mode control to attenuate the chattering problem resulting from the sliding mode control. Based on the Lyapunov stability theorem, the active control law and adaptive laws for the free parameters of the FNNs can be derived to effectively suppress vibration of the pantograph system.

关键词： Force Cats dynamics Wires Sliding mode control Fuzzy neural networks Fuzzy control

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Investigating the main operating mechanism of the zinc oxide layer of ZnO RRAM

Investigating the main operating mechanism of the zinc oxide...

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International Symposium on Computer, Consumer and Control

作者： Xin-tian Zhao Chun-Mei Lu Shao-Wen Su Hsin-Chiang You Cheng-Yen Wu Wen-Luh Yang College of Electrical and Control Engineering Xi'an University of Science and Technology Department of Chemical and Materials Engineering National Chin-Yi University of Technology Department of Applied English National Chin-Yi University of Technology Department of Electronic Engineering National Chin-Yi University of Technology Ph.D. Program of Electrical and Communications Engineering Feng Chia University Department of Electronic Engineering Feng Chia University

ISBN: (纸本)9781509030729

This study is to investigate the main operating mechanism of zinc oxide layer of ZnO RRAM (Resistance Random Access Memory). This experiment prepared four types of ZnO RRAM under different thermal annealing temperatures, Keithley 4200 measurement system was used to measure the operating voltage and current under a high impedance state and a low resistance state into the dielectric layer transmission mechanism analysis. This study found that the operating mechanism of a zinc oxide layer under the low-resistance state is mainly ohm conduction state. However, the operating mechanism of a zinc oxide layer under the high-resistance state is Poole-Frenkel Emission.

关键词： Zinc oxide layer Thermal annealing temperature Ohm conduction Poole - Frank Emission

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A real-time moving objects detection and classification approach for static cameras

A real-time moving objects detection and classification appr...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Hong-Son Vu Jia-Xian Guo Kuan-Hung Chen Shu-Jui Hsieh de-Sheng Chen Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan R.O.C Department of Electronic Engineering Feng Chia University Taichung Taiwan R.O.C Department of Information Engineering and Computer Science Feng Chia University Taichung Taiwan R.O.C

ISBN: (纸本)9781509020744

Moving objects recognition plays an important role in camera-only active safety systems and intelligent autonomous vehicles. For these applications, reliable detection performance is required; however, pedestrian detection is challenging due to their divergent dressing and action variety. Besides, real-time detection and recognition performance is also critical. This paper aims to optimize the pedestrian detection and recognition by combining both temporal-domain and spatial-domain methods. Accordingly, we first use Background Subtraction (BS) technique to detect moving objects. Then, we use AdaBoost algorithm to classify the detected moving objects into their categories. Experimental results on our datasets show that the proposed approach can speed up 3.3 times in terms of processing rate, with significantly improved detection performance, i.e., at least 17% detection rate increment and 38% false alarm decrement for daytime out-door applications.

关键词： Classification algorithms Object detection Real-time systems Object recognition Lighting Training Histograms

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