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Annual Conference on Information Sciences and Systems

作者： Abdallah, Mohamed Salem, Ahmed Alouini, Mohamed-Slim Qaraqe, Khalid A. Electrical and Computer Engineering Texas A and M University at Qatar PO Box 23874 Doha Qatar Department of Electronics and Electrical Communication Cairo University Giza Egypt Electrical Engineering Program KAUST Thuwal Saudi Arabia

ISBN: (纸本)9781424498475

The capacity of a secondary link in spectrum sharing systems has been recently investigated in fading environments. In particular, the secondary transmitter is allowed to adapt its power and rate to maximize its capacity subject to the constraint of maximum interference level allowed at the primary receiver. In most of the literature, it was assumed that estimates of the channel state information (CSI) of the secondary link and the interference level are made available at the secondary transmitter via an infinite-resolution feedback links between the secondary/primary receivers and the secondary transmitter. However, the assumption of having infinite resolution feedback links is not always practical as it requires an excessive amount of bandwidth. In this paper we develop a framework for optimizing the performance of the secondary link in terms of the average spectral efficiency assuming quantized CSI available at the secondary transmitter. We develop a computationally efficient algorithm for optimally quantizing the CSI and finding the optimal power and rate employed at the cognitive transmitter for each quantized CSI level so as to maximize the average spectral efficiency. Our results give the number of bits required to represent the CSI sufficient to achieve almost the maximum average spectral efficiency attained using full knowledge of the CSI for Rayleigh fading channels. © 2011 IEEE.

关键词： Channel state information

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A study on indoor 3D modeling by SOKUIKI sensor and omnidirectional camera 8

A study on indoor 3D modeling by SOKUIKI sensor and omnidire...

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8th IEEE Global Conference on Consumer electronics, GCCE 2019

作者： Inoue, Shoma Fujii, Masahiro Graduate Program in Information Electrical and Electronics Systems Engineering Utsunomiya University 7-1-2 Yoto Tochigi Utsunomiya Japan

ISBN: (纸本)9781728135755

In this paper, we propose a new 3D space modeling method for a SLAM (Simultaneous Localization and Mapping) by using distance measurement information on the horizontal plane by a SOKUIKI sensor and a 360-degree panoramic image by an omnidirectional camera. The proposed method can suppress the measurement time and the amount of the measurement data in comparison with the conventional SLAM. We evaluate the proposed method by some measurement experiments. We show that it is possible to measure the size of simultaneous objects with a high degree of accuracy. © 2019 IEEE.

关键词： 3D modeling

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A study on estimation of traveling direction for pedestrian dead reckoning by using inertial sensors 9

A study on estimation of traveling direction for pedestrian ...

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9th IEEE Global Conference on Consumer electronics, GCCE 2020

作者： Matsumoto, Takumi Fujii, Masahiro Utsunomiya University Graduate Program in Information Electrical and Electronics Systems Engineering 7-1-2 Yoto Utsunomiya Tochigi Japan

ISBN: (纸本)9781728198026

In this paper, we propose a new method to estimate the traveling direction for pedestrian by applying IMU (Inertial Measurement Unit) and PCA (Principal Component Analysis) to sensor information from a smartwatch. Because a result of PCA do not have orientation information, an estimate of the traveling direction includes an indeterminacy problem. We show that the proposed method can solve this problem and provide high accuracy in the traveling direction estimation by walking experiments. © 2020 IEEE.

关键词： Principal component analysis

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Linking simulation tools to laboratory experiments: Teaching design verification in engineering technology

Linking simulation tools to laboratory experiments: Teaching...

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2002 ASEE Annual Conference and Exposition: Vive L'ingenieur

作者： Porter, Jay R. Ochoa, James Tumati, Sanjay Texas A and M University Department of Engineering Technology Texas A and M University Department of Electrical Engineering Texas A and M Electronics Eng. Technology Program

The development and implementation of measurement tools that can be used to integrate design simulation and verification into a single process are discussed. The LabVIEW virtual instrumentation programming environment is being used to create measurement tools that seamlessly compare simulation of both analog and digital circuits to measured results. A digital stimulus and response tester for PLD circuits and a frequency response tester for analog devices are suggested to leading to more efficient use of lab time. It is suggested that the development of new instrumentation, on the analog side, can allow students to investigate concepts such as analog transients and harmonic distortion.

关键词： electronics engineering

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Machine Learning-based Modulation Format Identification and Optical Performance Monitoring Techniques Implementation

Machine Learning-based Modulation Format Identification and ...

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2021 Advanced Communication Technologies and Signal Processing, ACTS 2021

作者： Devi, Pukhrambam Puspa Vincent Simatupang, Joni Welman National Institute of Technology Silchar Department of Electronics and Communication Engineering Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung40132 Indonesia President University Study Program of Electrical Engineering Bekasi17530 Indonesia

ISBN: (纸本)9781665423373

In this paper, machine learning-based techniques are used to solve and analyze the modulation format recognition problem. The combination of intelligent software and high-performance hardware provides a large scope for innovation in optical networking. Machine learning algorithms can use a large amount of data available from the network monitors to learn and make the network more robust. This is a problem in optical communication that consists of defining the type of digital modulation process in which an electrical signal should be sent. A dataset to represent realistic transmission behaviors was generated using a simulator based on a Gaussian noise model. A multi-layer perceptron was used and tested with different architectures to show that a high level of accuracy is achievable with machine learning. An analysis of the input features was made by using the select K best features method. Finally, an attempt to visualize the data in 2-dimension was made using the Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE) methods to reduce the dimensionality of the input features and see their relationships. © 2021 IEEE.

关键词： Principal component analysis

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Effects of microstrip feed line width on 1 £ 4 rectangular microstrip antenna array electrical parameters and estimation with artificial neural networks

Effects of microstrip feed line width on 1 £ 4 rectangular ...

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Progress in Electromagnetics Research Symposium, PIERS 2012 Kuala Lumpur

作者： Dundar, O. Uzer, D. Gultekin, S.S. Bayrak, M. Electronic Communication Program Eregli Kemal Akman Technical Vocational School of Higher Education Selcuk University Konya Turkey Department of Electrical and Electronics Engineering Faculty of Engineering-Architecture Selcuk University Konya Turkey Department of Electrical and Electronics Engineering Faculty of Engineering Mevlana University Konya Turkey

ISBN: (纸本)9781934142202

In this study, 1 £ 4 rectangular microstrip array antennas are designed at 16 GHz resonant frequency for KU Band usage on Duroid 5880 substrate that has a thickness of 0.254mm and a dielectric constant of *** are simulated using HFSS *** these designs, by changing the feed line widths systematically, for each antenna, electrical parameters like S11 response, directivity, gain, radiation efficiency *** investigated for 26 array antennas in simulation ***, directivity and gain values are predicted with an Artificial Neural Network *** network has four inputs as dielectric substrate thickness, resonant frequency and dielectric constant of the substrate and three outputs as directivity, gain and radiation *** perceptron structure for Artificial Neural Network model and Levenberg- Marquart learning algorithm for training the network are *** network model is trained with 20 of 26 design data and is tested with the rest 6 *** is seen that the results from simulations and the neural network model are compatible with similar studies in the literature.

关键词： Natural frequencies

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Nonlinear H2 and H∞ control formulated in the Sobolev space for mechanical systems⁎

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IFAC-PapersOnLine 2018年第25期51卷 96-101页

作者： Cardoso, Daniel N. Raffo, Guilherme V. Esteban, Sergio Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo HorizonteMG31270-901 Brazil Department of Electronics Engineering Federal University of Minas Gerais Belo HorizonteMG Brazil Department of Aerospace Engineering Universidad de Sevilla Seville41092 Spain

Two important paradigms in control theory are the classic nonlinear H2 and H∞ control approaches. Their background theory are well developed, and several applications have demonstrated their efficiency. Despite many advantages, they suffer from deficiencies such as minimum settling-time and minimum overshoot. An interesting approach to solve these limitations is the formulation of both controllers in the Sobolev space. Thanks to the nature of the W - norm, the cost variable and its time derivatives are taken into account in the cost functional, leading to controllers with improved transient and steady-state performance. Thus, aiming to deal with mechanical systems this work reformulates the H2 and H∞ controllers in the Sobolev space. It is shown that, for particular systems, the W2 and W∞ optimal controllers are equivalent. An optimal solution for the class of fully actuated mechanical systems is proposed. The controller is corroborated by numerical experiments conducted with a quadrotor UAV. © 2018

关键词： Controllers Mechanics Nonlinear systems Robust control Sobolev spaces Background theory Fully actuated mechanical system H2 control Mechanical systems Numerical experiments Optimal controller Optimal solutions Steady state performance

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A Comprehensive Technique Based on Machine Learning for Device and Circuit Modeling of Gate-All-Around Nanosheet Transistors

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2023年 4卷 181-194页

作者： Butola, Rajat Li, Yiming Kola, Sekhar Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Communications Engineering the Institute of Biomedical Engineering the Department of Electronics and Electrical Engineering the Institute of Pioneer Semiconductor Innovation and the Institute of Artificial Intelligence Innovation Hsinchu300093 Taiwan

Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor device compact modeling domain. One major advantage of ML-based compact modeling is its ability to capture complex relationships and patterns in large datasets. Therefore, in this paper a novel design scheme based on dynamically adaptive neural network (DANN) is proposed to develop fast and accurate compact model (CM). This framework constitutes a powerful yet computationally efficient methodology and exhibits emergent dynamic behaviors. This paper demonstrates that the compact model based on ML can be designed to replicate the performance of conventional compact model for nanodevices. For this work, gate-all-around (GAA) nanosheet (NS) device characteristics are comprehensively analyzed for process variability sources using the proposed model. The device geometry parameters such as channel length, nanosheet width and nanosheet thickness are fed as input features to the DANN model. The adaptive neural network learns dynamically by updating weights of the model in accordance with the input features and achieves accurate neural weight convergence. The proposed model predicted the electrical characteristics of NS devices with less than 1% error rate. The model is also implemented and validated for the simulations of digital circuit designs such as inverter, and logic gates. ©;2023 The Authors.

关键词： Circuit simulation

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A frequency tunable metamaterial resonator using varactor diodes 16

A frequency tunable metamaterial resonator using varactor di...

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16th Mediterranean Microwave Symposium, MMS 2016

作者： Nesimoglu, Tayfun Sabah, Cumali Middle East Technical University - Northern Cyprus Campus Electrical and Electronics Engineering Program Kalkanli Guzelyurt TRNC Mersin 10 Turkey

ISBN: (纸本)9781509025862

A frequency tunable resonator topology is proposed that consists of an S-shaped resonator, a ground frame and a feeding transmission line. Tunability is achieved by using reverse biased varactor diodes employed at critical locations on the structure. As well as being a tunable resonator, the structure also provides tunable metamaterial properties. Reflection and transmission parameters, electric and magnetic field distributions, and permittivity and permeability at each tuned frequency were analyzed and shown. Simulation and measured results agree well and demonstrate about 28% frequency tunability. © 2016 IEEE.

关键词： Permittivity

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Multi Inteligent Traffic Light Optimization techniques by appling Modified Component Analysis Algorithm 5

Multi Inteligent Traffic Light Optimization techniques by ap...

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5th IEEE International Conference on Science, Technology, engineering and Mathematics, ICONSTEM 2019

作者： Ellappan, V. Sindhusaranya, B. Hailu, Tadesse Electronics Communication Eng. Program School of Electrical Engineering Computing Adama Science and Technology University Adama Ethiopia Namakkal India

ISBN: (纸本)9781728115993

Large cities situated within the developing countries facing one of the most important problems are heavy traffic congestion. It happened because of fast urbanization n. Many modern infrastructures for constructing a traffic signal have been introduced. Due to high maintenance cost and less knowledge of local workers that infrastructure doesn't work well. In this paper, we proposed a new technique for signal control framework, which estimates the traffic flows using the image analysis. For this technique inexpensive Web cameras are required for supporting signal control strategy which is based on traffic volume on that particular time. Traffic volumes can be estimated with few observation points. Based on that, signal controls can be adjusted. Numerical experiments of this proposed work confirmed that average travel time is reduced to 20.6% while comparing to the fixed-time signal control. © 2019 IEEE.

关键词： Traffic congestion

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