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International Conference on Microelectronics, MIEL

作者： S. D. Ilić M. S. Andjelković M. A. Carvajal A. M. Lallena M. Krstić S. Stanković G. S. Ristić Center of Microelectronic Technologies Institute of Chemistry Technology and Metallurgy University of Belgrade Serbia Applied Physics Laboratory at Faculty of Electronic Engineering University of Niš Niš Serbia System Architectures Department IHP - Leibniz-Institut für innovative Mikroelektronik Frankfurt (Oder) Germany Department of Electronics and Computer Technology University of Granada Granada Spain Department of Radiation and Environmental Protection at the Vincča Institute of Nuclear Sciences Belgrade Serbia Department of Radiation and Environmental Protection at the Vinc?a Institute of Nuclear Sciences Belgrade Serbia Department of Microelectronics Faculty of Electronic Engineering University of Niš Niš Serbia

In this paper, the feasibility of using commercial power Silicon Carbide (SiC) Schottky diodes as a current mode γ-radiation detector have been examined. Diodes with almost identical electric characteristics are purchased from two different manufacturers, On Semiconductor and RoHM. They have been tested under gamma radiation exposure from a Co-60 source. The current response during irradiation has been measured for various dose rates with reversed diode bias. Investigated range of dose rates was from 0.258 Gy/h to 26.312 Gy/h, and reverse diode bias values were 10 V, 20 V, 50 V, 100 V and 200 V. Tested Schottky diodes produce stable current response for the investigated dose rates. Although the manufacturers are different, the results show that the dosimetric characteristics of these diodes have an excellent match. Sensitivity was proportional to the applied reverse bias voltage. A simple power-law can very well describe the dependence of measured radiation-induced current on dose rate.

关键词： Schottky diodes Semiconductor device measurement Radiation effects Voltage measurement Sensitivity Power measurement Silicon carbide

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Reconfigurable Intelligent Surface (RIS)-aided Vehicular Networks: Their Protocols, Resource Allocation, and Performance

arXiv

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arXiv 2022年

作者： Chen, Yuanbin Wang, Ying Zhang, Jiayi Zhang, Ping Hanzo, Lajos State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing100044 China The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China The Department of Broadband Communication Peng Cheng Laboratory Shenzhen518055 China The Department of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

Reconfigurable intelligent surfaces (RISs) assist in paving the way for the evolution of conventional vehicular networks to autonomous driving. Having said that, the 3rd Generation Partnership Project (3GPP) faces numerous open challenges concerning the RIS-aided vehicle-to-everything (V2X) solutions of the near future. To tackle these challenges and to stimulate future research, this article focuses on the prospective transmission design of RIS-aided V2X communications. In particular, two V2X sidelink modes are enhanced by exploiting RISs and their variants, followed by a customized transmission frame structure that partitions the transmission efforts into different phases. Next, effective channel tracking and resource allocation techniques are developed for attaining a high beamforming gain at low overhead and complexity. Finally, promising research topics are highlighted and future 3GPP standardization items are proposed for RIS-aided V2X systems. © 2022, CC BY-NC-ND.

关键词： Vehicle to Everything

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Auto landing system on a fixed wing unmanned aerial vehicle using linear quadratic approach 5

Auto landing system on a fixed wing unmanned aerial vehicle ...

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5th International Conference on Science and Technology, ICST 2019

作者： Dharmawan, Andi Ashari, Ahmad Handayani, Ariesta Martiningtyas Meirani Utami, Riarsari Tresnayana, I Made Universitas Gadjah Mada Electronics and Instrumentation Research Laboratory Yogyakarta Indonesia Universitas Gadjah Mada Computer System and Networking Research Laboratory Yogyakarta Indonesia Universitas Gadjah Mada Department of Electrical and Informatics Engineering Yogyakarta Indonesia

ISBN: (纸本)9781728123691

The primary control issue on Unmanned Aerial Vehicle (UAV) is to control the rotation motion in the form of pitch, roll, and yaw. These rotational movements are used for various flight phases. The flight phases are at least divided into 3, consisting of taking off, cruising, and landing phases. The landing phase is one of the most critical phases. If the flight control of a UAV in this phase is not optimal, then it can crash. The landing phase control system in this research uses the Linear Quadratic Regulator (LQR) method. This method works on a full-state feedback control system. This control system will produce style and torque, both of which will be converted to PWM (Pulse Width Modulation) signals and the servos deflection angle values. The PWM signals play a role in regulating how fast the brushless motor rotates. The control system is used to maintain the stability of the UAV upon landing so that the UAV does not experience undesirable things. Landing phase testing results show that the control system has been able to land the UAV with an optimal control response. © 2019 IEEE.

关键词： State feedback

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Attitude and horizontal speed control system on unmanned aerial vehicle using LQR 5

Attitude and horizontal speed control system on unmanned aer...

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5th International Conference on Science and Technology, ICST 2019

作者： Dharmawan, Andi Ichsan, Lazuardi Baskoro, Hanif Istiyanto, Jazi Eko Martiningtyas Handayani, Ariesta Universitas Gadjah Mada Electronics and Instrumentation Research Laboratory Yogyakarta Indonesia Universitas Gadjah Mada Computer System and Networking Research Laboratory Yogyakarta Indonesia Universitas Gadjah Mada Department of Electrical and Informatics Engineering Yogyakarta Indonesia

ISBN: (纸本)9781728123691

Unmanned Aerial Vehicles (UAV) or drones are expected to fly automatically, especially in performing basic maneuvers. The necessary maneuver is to fly straight and level, where no rotation occurs on the roll, pitch, and yaw axes that work on the plane. Also, to free from rotational motion, the aircraft needs to maintain its horizontal speed to prevent the vehicle from losing lift and free-fall. This research uses a Linear Quadratic Regulator (LQR) control method to obtain full-state feedback K gain from the control system. The gain of the full-state feedback is used to control the output, which is converted into Pulse Width Modulation to control the rotational speed of the brushless motor, and the angle of servo. The result of this research is that system response obtained is optimum with the desired specification. © 2019 IEEE.

关键词： Drones

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Random Occlusion Recovery with Noise Channel for Person Re-identification 16th

Random Occlusion Recovery with Noise Channel for Person Re-i...

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16th International Conference on Intelligent Computing, ICIC 2020

作者： Zhang, Kun Wu, Di Yuan, Changan Qin, Xiao Wu, Hongjie Zhao, Xingming Zhang, Lijun Du, Yuchuan Wang, Hanli Institute of Machine Learning and Systems Biology School of Electronics and Information Engineering Tongji University Shanghai China Guangxi Academy of Science Nanning530025 China School of Computer and Information Engineering Nanning Normal University Nanning530299 China School of Computer Science and Technology Soochow University Suzhou215006 China School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou215009 China Fudan University Shanghai200433 China Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Ministry of Education Shanghai China Collaborative Innovation Center of Intelligent New Energy Vehicle and School of Automotive Studies Tongji University Shanghai201804 China The Key Laboratory of Road and Traffic Engineering of the Ministry of Education Department of Transportation Engineering Tongji University Shanghai201804 China Department of Computer Science and Technology the Key Laboratory of Embedded System and Service Computing and Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China

ISBN: (纸本)9783030607982

Person re-identification, as the basic task of a multi-camera surveillance system, plays an important role in a variety of surveillance applications. However, the current mainstream person re-identification model based on deep learning requires a lot of labeled data, which takes a lot of time and manpower. In this study, we proposed a person re-identification method based on random occlusion recovery with noise channel. We add random occlusion blocks to the original image, use the GAN model for repair, and use the repaired image to expand the original training set. After that, the generated image is adjusted through the noise channel. Finally, we use the enhanced data set to train the baseline model. Our model achieves the state-of-the-art on Market-1501 dataset, proving that the method is effective. © 2020, Springer Nature Switzerland AG.

关键词： Generative adversarial networks

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Tethered capsule en face optical coherence tomography for imaging Barrett’s esophagus in unsedated patients

arXiv

引用

arXiv 2020年

作者： Liang, Kaicheng Ahsen, Osman O. Murphy, Annalee Zhang, Jason Nguyen, Tan H. Potsaid, Benjamin M. Figueiredo, Marisa Huang, Qin Mashimo, Hiroshi Fujimoto, James G. Department of Electrical Engineering and Computer Science Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA United States VA Boston Healthcare System BostonMA United States Harvard Medical School BostonMA United States

Objective Detection of Barrett’s esophagus (BE) at points of care outside the endoscopy suite may improve screening access and reduce esophageal adenocarcinoma mortality. Tethered capsule optical coherence tomography (OCT) can volumetrically image esophageal mucosa and detect BE in unsedated patients. We investigated ultrahigh-speed tethered capsule, swept-source OCT (SS-OCT) in unsedated patients, improved device design, developed procedural techniques, measured how capsule contact and longitudinal pullback non-uniformity affect coverage, and assessed patient toleration. Design OCT was performed in 16 patients prior to endoscopic surveillance/treatment. Unsedated patients swallowed the capsule with small sips of water and the esophagus imaged by retracting the tether. Ultrahigh-speed SS-OCT at 1,000,000 A-scans/second imaged ~40cm2 esophageal areas in 10 seconds with 30µm transverse and 8µm axial resolution. Capsule contact and longitudinal image coverage were analyzed. Patients were interviewed to assess toleration. Results Nine patients had non-dysplastic BE, 3 had ablative treatment-naïve neoplasia, and 4 had prior ablation for history of dysplasia. Dry swallows facilitated capsule transit through the lower esophageal sphincter (LES), and waiting 10 seconds before retrieval reduced swallow-induced LES relaxation. Slow nasal inhalation facilitated capsule retrieval and minimized the gag reflex. The capsule procedure was well tolerated. Ultrahigh-speed SS-OCT enabled the generation of cross-sectional and sub-surface en face images. BE couldbe rapidly identified in cross-sectional and en face images, while assessment of the gastro-esophageal junction (GEJ) required subsurface en face views. Capsule-esophageal contact was worse in long-segment BE and sliding hiatal hernia, and longitudinal image coverage was worse in short-segment BE. OCT candidate features of dysplasia are reported. Conclusions Ultrahigh-speed tethered capsule SS-OCT enabled en face and cross-secti

关键词： Optical tomography

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An Efficient EPIST Algorithm for Global Placement with Non-Integer Multiple-Height Cells *

An Efficient EPIST Algorithm for Global Placement with Non-I...

引用

Design Automation Conference

作者： Jianli Chen Zhipeng Huang Ye Huang Wenxing Zhu Jun Yu Yao-Wen Chang State Key Lab of ASIC & System Fudan University China Center for Discrete Mathematics and Theoretical Computer Science Fuzhou University Fuzhou China Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan

ISBN: (数字)9781728110851

ISBN: (纸本)9781728158020

With the increasing design requirements of modern circuits, a standard-cell library often contains cells of different row heights to address various trade-offs among performance, power, and area. However, maintaining all standard cells with integer multiples of a single-row height could cause some area overheads and increase power consumption. In this paper, we present an analytical placer to directly consider a circuit design with non-integer multiple-height standard cells and additional layout constraints. The region of different cell heights is adaptively generated by the global placement result. In particular, an exact penalty iterative shrinkage and thresholding (EPIST) algorithm is employed to efficiently optimize the global placement problem. The convergence of the algorithm is proved, and the acceleration strategy is proposed to improve the performance of our algorithm. Compared with the state-of-the-art works, experimental results based on the 2017 CAD Contest at ICCAD benchmarks show that our algorithm achieves the best wirelength and area for every benchmark. In particular, our proposed EPIST algorithm provides a new direction for effectively solving large-scale nonlinear optimization problems with non-smooth terms, which are often seen in real-world applications.

关键词： Standards Optimization Clustering algorithms Libraries Circuit synthesis Benchmark testing Iterative algorithms

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Noise bias compensation for reconstructed HDR images in two layer coding

IEEJ Transactions on Electronics, Information and Systems

引用

IEEJ Transactions on electronics, Information and systems 2019年第12期139卷 1442-1451页

作者： Minewaki, Sayaka Hamzah, Fairoza Amira Binti Yoshida, Taichi Iwahashi, Masahiro Kiya, Hitoshi Department of Computer Science and Engineering National Institute of Technology Yuge College 1000 Kamijima-cho Ochi-gun Ehime794-2593 Japan Kyoto College of Graduate Studies for Informatics 7 Tanakamonzen-cho Sakyo-ku Kyoto606-8225 Japan Department of Computer and Network Engineering University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan Department of Electrical Electronics and Information Engineering Nagaoka University of Technology 1603-1 Kamitomioka Nagaoka Niigata940-2188 Japan Department of Information and Communication Systems Faculty of System Design Tokyo Metropolitan University 6-6 Asahigaoka Hino Tokyo191-0065 Japan

We propose a two-layer coding method for HDR images with noise bias compensation (NBC). Although the mean of image noise is assumed to be zero originally, it becomes nonzero (that is, noise bias is present) after tone mapping, because of the nonlinearity of tone mapping. In the conventional two-layer coding, the reconstructed LDR image is decoded using a lossy encoder of a base layer that includes noise;the noise is included in an HDR image that is inverse tone mapped from a reconstructed LDR image with noise bias. We aim to improve the quality of reconstructed HDR images by compensating for noise bias. NBC classifies pixels in a noisy image into several subsets according to the pixel value after tone mapping, and compensates for the pixel value in each subset with a compensation value determined in advance. The compensation values are determined by using all pixel values in the LDR image that is input to the base layer, in addition to those in the HDR image that is inversely tone mapped from the reconstructed LDR image. We perform NBC following inverse tone mapping for the reconstructed LDR image. Experimental results show the effectiveness of the proposed method. © 2019 The Institute of Electrical Engineers of Japan.

关键词： Image denoising

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Hamiltonian Path Based Mixed-Cell-Height Legalization for Neighbor Diffusion Effect Mitigation

Hamiltonian Path Based Mixed-Cell-Height Legalization for Ne...

引用

Design Automation Conference

作者： Jianli Chen Ziran Zhu Qinghai Liu Yimin Zhang Wenxing Zhu Yao-Wen Chang State Key Lab of ASIC & System Fudan University Shanghai China Center for Discrete Mathematics and Theoretical Computer Science Fuzhou University Fuzhou China Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan

ISBN: (数字)9781728110851

ISBN: (纸本)9781728158020

In modern circuit designs, standard cells are designed with different heights based on the power, area, and other characteristics to address various design requirements. For those cells with different heights, in particular, there are inter-cell diffusion steps if the diffusion heights of neighboring cells are different, called the neighbor diffusion effect (NDE) which has become critical in advanced technology nodes. In this paper, we present a Hamiltonian-path-based mixed-cell-height legalization algorithm for NDE mitigation. We first present a row assignment method considering both cell displacements and diffusion steps to assign cells to their desired rows that meet the power-rail alignment constraints. Then, we propose a Hamiltonian-path-based diffusion-step reduction method to effectively reduce the NDE violations while preserving the global placement solution. Particularly, we develop a 2-approximation algorithm to find a minimum weight Hamiltonian path connecting two vertices, and a 1.5-approximation algorithm to find a minimum weight Hamiltonian path with a specified end vertex. Finally, we present an NDE-aware legalization method with design compaction to resolve overlaps and NDE violations. Experimental results show that our algorithm can resolve all NDE violations without any area overhead in reasonable runtime.

关键词： Approximation algorithms Circuit synthesis Compaction Runtime Heuristic algorithms Standards Graph theory

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Reviewing continual learning from the perspective of human-level intelligence

arXiv

引用

arXiv 2021年

作者： Chang, Yifan Li, Wenbo Peng, Jian Tang, Bo Kang, Yu Lei, Yinjie Gui, Yuanmiao Zhu, Qing Liu, Yu Li, Haifeng The State Key Laboratory of Fire Science Department of Automation and Institute of Advanced Technology University of Science and Technology of China Hefei China Institute of Intelligent Machines Chinese Academy of Sciences Hefei230031 China The Department of Electrical and Computer Engineering Mississippi State University United States College of Electronics and Information Engineering Sichuan University Chengdu China Faculty of Geosciences and Environmental Engineering The Southwest Jiaotong University Chengdu China Institute of Remote Sensing and Geographic Information System Peking Universit Beijing China School of Geosciences and Info-Physics Central South University South Lushan Road Changsha410083 China

Humans continual learning (CL) ability is closely related to Stability Versus Plasticity Dilemma that describes how humans achieve ongoing learning capacity and preservation for learned information. The notion of CL has always been present in artificial intelligence (AI) since its births. This paper proposes a comprehensive review of CL. Different from previous reviews that mainly focus on the catastrophic forgetting phenomenon in CL, this paper surveys CL from a more macroscopic perspective based on the Stability Versus Plasticity mechanism. Analogous to biological counterpart, "smart" AI agents are supposed to i) remember previously learned information (information retrospection);ii) infer on new information continuously (information prospection:);iii) transfer useful information (information transfer), to achieve high-level CL. According to the taxonomy, evaluation metrics, algorithms, applications as well as some open issues are then introduced. Our main contributions concern i) rechecking CL from the level of artificial general intelligence;ii) providing a detailed and extensive overview on CL topics;iii) presenting some novel ideas on the potential development of CL. © 2021, CC BY.

关键词： Petroleum reservoir evaluation

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