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Design, Automation and Test in Europe Conference and Exhibition

作者： Morteza Gholipour Ying-Yu Chen Amit Sangai Deming Chen Advanced VLSI Lab. University of Tehran Tehran Iran Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL

ISBN: (纸本)9783981537024

In this paper, we present a highly accurate closed-form compact model for Schottky-Barrier-type Graphene Nano-Ribbon Field-Effect Transistors (SB-GNRFETs). This is a physics-based analytical model for the current-voltage (I-V) characteristics of SB-GNRFETs. We carry out accurate approximations of Schottky barrier tunneling, channel charge and current, which provide improved accuracy while maintaining compactness. This SPICE-compatible compact model surpasses the existing model [15] in accuracy, and enables efficient circuit-level simulations of futuristic GNRFET-based circuits. The proposed model considers various design parameters and process variation effects, including graphene-specific edge roughness, which allows complete and thorough exploration and evaluation of SB-GNRFET circuits. We are able to model both single- and double-gate SB-GNRFETs, so we can evaluate and compare these two types of SB-GNRFET. We also compare circuit-level performance of SB-GNRFETs with multi-gate (MG) Si-CMOS for a scalability study in future generation technology. Our circuit simulations indicate that SB-GNRFET has an energy-delay product (EDP) advantage over Si-CMOS; the EDP of the ideal SB-GNRFET (assuming no process variation) is ~1.3% of that of Si-CMOS, while the EDP of the non-ideal case with process variation is 136% of that of Si-CMOS. Finally, we study technology scaling with SB-GNRFET and MG Si-CMOS. We show that the EDP of ideal (non-ideal) SB-GNRFET is ~0.88% (54%) EDP of that of Si-CMOS as the technology nodes scales down to 7 nm.

关键词： Integrated circuit modeling Transistors Schottky barriers Tunneling Delays Approximation methods Logic gates

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Operation of Current Source Inverters in Discontinuous Conduction Mode

Operation of Current Source Inverters in Discontinuous Condu...

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IEEE Energy Conversion Congress and Exposition

作者： Daniel Drews Robert Cuzner Giri Venkataramanan Advanced Development Lab DRS Power and Control Technologies Milwaukee Wisconsin Department of Electrical and Computer Engineering University of Wisconsin-Madison Madison Wisconsin

ISBN: (纸本)9781479957774

This paper identifies the characteristics of a Current Source Inverter (CSI) operating in discontinuous conduction mode (DCM) and proposes a new multi-objective Pulse-Width Modulation (PWM) method to mitigate voltage boosting and harmonic distortion effects. The method takes into account load impedance effects. The concept is verified experimentally on a 3kW test bed.

关键词： Pulse width modulation Switches Capacitors Mathematical model Inverters Inductors

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LifeTime and improving European healthcare through cell-based interceptive medicine (vol 587, pg 377, 2020)

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NATURE 2021年第7852期592卷 E8-E8页

作者： Rajewsky, Nikolaus Almouzni, Genevieve Gorski, Stanislaw A. Aerts, Stein Amit, Ido Bertero, Michela G. Bock, Christoph Bredenoord, Annelien L. Cavalli, Giacomo Chiocca, Susanna Clevers, Hans De Strooper, Bart Eggert, Angelika Ellenberg, Jan Fernandez, Xose M. Figlerowicz, Marek Gasser, Susan M. Hubner, Norbert Kjems, Jorgen Knoblich, Jurgen A. Krabbe, Grietje Lichter, Peter Linnarsson, Sten Marine, Jean-Christophe Marioni, John C. Marti-Renom, Marc A. Netea, Mihai G. Nickel, Dorthe Nollmann, Marcelo Novak, Halina R. Parkinson, Helen Piccolo, Stefano Pinheiro, Ines Pombo, Ana Popp, Christian Reik, Wolf Roman-Roman, Sergio Rosenstiel, Philip Schultze, Joachim L. Stegle, Oliver Tanay, Amos Testa, Giuseppe Thanos, Dimitris Theis, Fabian J. Torres-Padilla, Maria-Elena Valencia, Alfonso Vallot, Celine van Oudenaarden, Alexander Vidal, Marie Voet, Thierry Berlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine in the Helmholtz Association Berlin Germany Charité-Universitätsmedizin Berlin Germany Berlin Institute of Health (BIH) Berlin Germany German Center for Cardiovascular Research (DZHK) Partner Site Berlin Berlin Germany Institute for Biology Humboldt University of Berlin Berlin Germany Cardiovascular and Metabolic Sciences Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) Berlin Germany Department of Pediatric Oncology/Hematology Charité-Universitätsmedizin Berlin Berlin Germany Institut Curie CNRS PSL Research University Sorbonne Université Nuclear Dynamics Unit Equipe Labellisée Ligue contre le cancer Paris France VIB Center for Brain and Disease Research Leuven Belgium Department of Human Genetics KU Leuven Leuven Belgium Department of Neurosciences KU Leuven Leuven Belgium UK Dementia Research Institute at UCL University College London London UK Wellcome Sanger Institute Wellcome Genome Campus Cambridge UK Department of Immunology Weizmann Institute of Science Rehovot Israel Centre for Genomic Regulation (CRG) Barcelona Institute of Science and Technology Barcelona Spain CNAG-CRG Centre for Genomic Regulation Barcelona Institute of Science and Technology Barcelona Spain Universitat Pompeu Fabra Barcelona Spain ICREA Barcelona Spain CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences Vienna Austria Department of Laboratory Medicine Medical University of Vienna Vienna Austria Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases Vienna Austria Department of Medical Humanities Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht The Netherlands Institute of Human Genetics UMR 9002 CNRS and University of Montpellier Montpellier France Department of Experimental Oncology IEO European Institute of Oncology IRCCS Milan Italy Department of Oncology and Hemato

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User-centric joint power and thermal management for smartphones

User-centric joint power and thermal management for smartpho...

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International Conference on Mobile Computing, Applications and Services (MobiCASE)

作者： Pietro Mercati Tajana Simunic Rosing Vinay Hanumaiah Jitendra Kulkarni Simon Bloch Department of Computer Science and Engineering University of California San Diego San Diego CA USA Advanced Systems Engineering Lab Samsung Research America San Jose California USA

Excessive power consumption and high temperatures are some of the key factors limiting battery charge life and performance of current mobile devices or smartphones. Existing power management solutions do not account for user-experience, which can impact user satisfaction. In this paper we propose a joint power and thermal management solution, which takes a proactive approach in reducing energy consumption while providing expected user-experience. The proposed technique modulates the operating conditions based on users application preferences and exploits the “change blindness” effect to reduce display power consumption. Another important aspect of our implementation is that it does not require any restructuring of the underlying operating system. A novel thermal model of the entire smartphone was built with the purpose of monitoring and controlling the operating conditions to keep the device temperatures within safe operating ranges. Our ready-to-use management technique has been implemented on Google Nexus 5 and has been demonstrated to achieve a 46% application-specific savings on power consumption and up to 35% savings in power consumption at the device level. The mean temperature estimation error is 1.17°C.

关键词： Thermal management Temperature sensors Graphics processing units Mobile handsets Mathematical model Power demand Brightness

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20.3: Optimizing the Balance of Holes and Electrons in Inverted Quantum Dot Light-Emitting Diodes by Inserting Electron Transportation Barrier Layer

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SID Symposium Digest of Technical Papers 2015年第1期46卷

作者： Yibin Jiang Haoning Tang Shuming Chen Hoi-Sing Kwok State Key Lab on Advanced Displays and Optoelectronics Department of Electronic and Computer Engineering The Hong Kong University of Science & Technology Clear Water Bay Kowloon Hong Kong Department of Electrical and Electronic Engineering South University of Science and Technology of China Shenzhen 518055 PR China

In this study, the hole-electron balance of quantum dot lightemitting diodes (QDLED) was tuned in order to achieve efficiency enhancement. This hole-electron balance optimization was realized by inserting thin barrier layer in the electron transportation layer. Although the current density was slightly sacrificed because of the electron blocking of the barrier layer, the charge balance was improved hence leading to 123% efficiency enhancement.

关键词： quantum dot light-emitting diodes barrier layer charge balance optimization

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Fast and Precise Positioning of Wheeled Omni-directional Robot With Input Delay Using Model-based Predictive Control

Fast and Precise Positioning of Wheeled Omni-directional Rob...

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第三十三届中国控制会议

作者： Mahdi Zarghami Ahmad Fakharian Amin Ganjali Poudeh Aras Adhami-Mirhosseini Faculty of Electrical Biomedical and Mechatronics EngineeringMechatronics Research Laboratory (MRL)Qazvin BranchIslamic Azad University Advanced Control Systems Lab. School of Electrical and Computer EngineeringCollege of EngineeringUniversity of Tehran

ISBN: (纸本)9781479947249

In dynamic environments, Omni-directional mobile robots sometimes are required to accomplish accurate and stable tracking of trajectories, but rare researches are addressed in the literature, which specifically deal with time-delay *** order to cope with such situation, the trajectory tracking of an Omni-directional mobile robot is handled by model predictive control in presence of input-delay. The main innovation of this work is that MPC controller is employed to the end of ***, a significant reduction is yielded in the time of robot motion. This strategy forces that MPC method uses nearly good model approximation in which, the model deficiency can be compensated by modifying the novel kinematic model for ***, in this study, the proposed controller is compared with PID controller that achieve about 40% enhancement in amount of time to reach target and also results in to the more precise robot control in target point error.

关键词： input delay Omni-directional mobile robots predictive control motion control

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Piecewise Linear Modeling of Snubberless Dual Active Bridge Commutation

Piecewise Linear Modeling of Snubberless Dual Active Bridge ...

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IEEE Energy Conversion Congress and Exposition

作者： Babak Farhangi Hamid A. Toliyat Advanced Electric Machines and Power Electronics (EMPE) Lab. Department of Electrical and Computer Engineering Texas A&M University College Station TX 77843-3128

ISBN: (纸本)9781479957774

The Dual Active Bridge (DAB) converter promises high power density. The highest power transfer can be achieved by phase shift modulation inside the zero voltage switching boundaries. This paper analyzes the transients of DAB commutation. Although commutation has been previously analyzed for DAB with the linear turn off snubbers, in today's industries, the output capacitors of the switches are utilized as the snubberless approach. The presence of these time variant capacitors leads to nonlinear equations. This paper applies a piecewise linear model for analyzing the commutation of the ac link current into the switches. The study is inspired from practical experiments, and the results are verified experimentally.

关键词： Capacitors Inductors Bridge circuits Mathematical model Soft switching Snubbers Switches

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Extremal optimization-based semi-supervised algorithm with conflict pairwise constraints for community detection

Extremal optimization-based semi-supervised algorithm with c...

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International Conference on Advances in Social Network Analysis and Mining, ASONAM

作者： Lei Li Mei Du Guanfeng Liu Xuegang Hu Gongqing Wu School of Computer Science and Information Engineering Hefei University of Technology Hefei Anhui China Soochow Advanced Data Analytics Lab Soochow University Suzhou Jiangsu China

The research on community structure is a key to analyze the network functionality and topology, and thus it is significant to detect and analysis the community structure. During the abstract process from an actual system to a network, especially for a large-scale network, it is inevitable to have mistaken connections between nodes or have connection missing. In addition, in real applications, from time to time we can obtain prior information in the form of pairwise constraints between nodes besides topology information, although they may be inaccurate or conflicted. These noises in the network-related information will dramatically reduce the accuracy of community detection. Hence, in this paper, we introduce a dissimilarity index to determine the trustworthiness of pairwise constraints and settle the conflict of pairwise constraints. Then, focusing on the community detection with false connections or conflicted connections, we propose a pairwise constrained structure-enhanced extremal optimization-based semi-supervised algorithm (PCSEO-SS algorithm). Compared with existing semi-supervised community detection approaches, the experimental results executed on real networks and synthetic networks, show that PCSEO-SS can solve the problem of false connections or conflicted connections to some extent and detect the community structure more precisely.

关键词： Communities Optimization Detection algorithms Indexes Accuracy Algorithm design and analysis Noise

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Determining mood using emotional features

Determining mood using emotional features

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International Symposium on Telecommunications, IST

作者： Mojgan Hashemian Amin Nikoukaran Hadi Moradi Maryam S Mirian Mehdi Tehrani-doost Advanced Robotics and Intelligent Systems Lab University of Tehran Iran School of Electrical and Computer Engineering University of Tehran Iran Department of Psychiatry Tehran University of Medical Science Iran

The ability to determine mood is one of fundamental challenges in affective computing. In this paper, we present a novel approach for mood detection via emotional variations. In this approach, the mood is considered as a low magnitude and more stable, i.e. low frequency, emotion that can be detected using emotion detection approaches. A Bayes classification is applied on a feature vector composed of statistical aspects of the intensity of the emotions. The approach has been implemented in which two emotions, i.e. happiness and sadness, and also neutral state, have been targeted to determine the good, bad, and neutral, mood of subjects respectively. A Bayes classification is applied on a feature vector containing statistical aspects of the intensity of the emotions. The obtained Correct Classification Rate (CCR) is 91.1, with 0.09 mean error and variance of 4.9 discriminating good mood vs. neutral.

关键词： Mood Educational institutions Face Videos computers Mice Accuracy

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Determining mood via emotions observed in face by induction

Determining mood via emotions observed in face by induction

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RSI/ISM International Conference on Robotics and Mechatronics (ICROM)

作者： Mojgan Hashemian Hadi Moradi Maryam S Mirian Mehdi Tehrani-doost Advanced Robotics and Intelligent Systems Lab University of Tehran Iran School of Electrical and Computer Engineering University of Tehran Iran Department of Psychiatry Tehran University of Medical Science Iran

Determining the mood of a person is an important step in the Human-Robot interaction. In this paper, we propose a human-inspired approach in which the changes in emotions, done using emotion induction, can be used to determine the mood of a person. The emotion induction, which can be done through robot actions or through showing video clips, stimulates changes in the emotions of the person, reducing the observation time needed to estimate mood. Consequently, the changes in the emotions, which are biased by his/her mood can be used by a robot to determine the mood of a person. To do so, we induced happy emotions by showing a comical clip and measured the intensity of each happy and sad emotions, and also the intensity of the neutral state. Then we extracted a feature set, including both time and frequency domain features, which is used to determine the mood of the person. The approach has been implemented and compared to no-emotion-induction approach and shows better results. Based on the classification results, the approach is able to distinguish between good vs. bad moods with the accuracy of 91.5% with 0.1 mean absolute error. But the neutral state was not distinguishable well.

关键词： Mood Robots Accuracy Feature extraction Face Educational institutions Human-robot interaction

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