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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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Dual-UNet: An End-to-End Deep Learning Framework for the Automatic Chronic Diabetic Wound Segmentation

Dual-UNet: An End-to-End Deep Learning Framework for the Aut...

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Computing and Information Technology (ICCIT-1441), 2020 International Conference on

作者： Mustafa Alhababi Gregory Auner Hafiz Malik Lubna Alazzawi Muteb Aljasem Electrical and Computer Engineering Wayne State University Detroit MI USA Department of Smart Sensors and Integrated Microsystems Program Wayne State University Detroit MI USA Electrical and Computer Engineering University of Michigan-Dearborn Dearborn MI USA Electronics and Computer Engineering & Robotics Engineering Bowling Green State University Bowling Green OH USA

ISBN: (数字)9798350353839

ISBN: (纸本)9798350353846

Foot ulcers are one of the chronic wounds commonly occurring in diabetic patients and are associated with a high risk of major or minor amputations. Evaluation and measurement of such wounds are done manually by experts to assess the wound healing and suggest further treatment. Manual assessment methods can cause infections at times and are less feasible in the existence of pandemic situations. The development of artificial intelligence has brought a revolution in many domains of medical imaging. Deep learning-based computer-aided approaches can be applied to assist clinicians in assessing and monitoring chronic wounds. Wound segmentation helps to measure wound area which is useful for assessing its healing progress. In this research work, a deep learning-based segmentation method, namely Dual-UNet is presented for precisely segmenting the diabetic foot ulcers images. The foot ulcer images are passed to Dual-UNet to generate the mask image having the segmented wound area. We proposed two modified UNets each having a customized encoder and decoder with skip connections, atrous spatial pyramid pooling (ASPP) block, and output block to improve the segmentation results. We assessed our framework by performing experimentation on two benchmark datasets, named the foot ulcer segmentation (FUSeg) challenge and the AZH segmentation dataset. Additionally, we have also assessed our Dual-UNet for cross-corpora validation to demonstrate the generalization capability of the proposed approach. The qualitative and quantitative results highlight the accuracy and effectiveness of the Dual-UN et framework for segmenting chronic diabetic wounds. Future research should focus on the development of large and diverse wound datasets and improving the results for cross-corpora evaluation.

关键词： Deep learning Image segmentation Pandemics Computational modeling Manuals Wounds Diabetes Decoding Information technology Monitoring

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Effect of Laying and Bonding Parameters of High-Voltage Underground Cables on Thermal and electrical Performances by Multiphysics Fem Analysis

SSRN

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SSRN 2023年

作者： Demirol, Yunus Berat Kalenderli, Özcan Istanbul Technical University Graduate School of Electrical Engineering Program ITU Ayazaga Maslak Istanbul34469 Turkey Istanbul Technical University Faculty of Electrical and Electronics Engineering ITU Ayazaga Maslak Istanbul34469 Turkey

In high-voltage underground cable systems, current carrying capacity and power losses vary according to the screen bonding type, the phase sequence, the distance between the cables, and the number of parallel systems. In this study, electrical and thermal analyses of a system consisting of two parallel cables were carried out according to different design parameters, and the performances were evaluated. Trefoil and flat layouts were used in the analyzed systems. In addition, the structure of the single-side and solidly bonded systems was also examined. While carrying out the investigations, the variation of the distance between the cables according to three different parameters was also discussed. In total, 56 different scenarios were created, and the systems' performances were examined. Screen currents, screen voltages, cable temperatures, and power losses were considered while conducting the investigations. In this context, coupled electrical and thermal calculations were performed in the Ansys electronics Suite finite element software. Additionally, the study utilized the CymCap program to verify the finite element model created, with analytical analyses conducted in accordance with IEC 60287 standards. The significance of these calculations cannot be overstated, as the analysis results demonstrate the direct impact of various design parameters on the system's overall performance. © 2023, The Authors. All rights reserved.

关键词： Finite element method

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Robust Nonlinear $\mathcal{W}_{\infty}$ Optimal Control for Input Nonaffine Systems

Robust Nonlinear $\mathcal{W}_{\infty}$ Optimal Control for ...

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European Control Conference (ECC)

作者： Daniel N. Cardoso Marco H. Terra Guilherme V. Raffo Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte MG Brazil Department of Electrical and Computer Engineering University of São Paulo São Carlos SP Brazil Department of Electronics Engineering Federal University of Minas Gerais (UFMG) Belo Horizonte MG Brazil

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

We propose a novel robust nonlinear $\mathcal{W}_{\infty}$ optimal control method for dynamical systems with nonaffine control inputs. The nonlinear $\mathcal{W}_{\infty}$ control formulation extends the classic nonlinear $\mathcal{H}_{\infty}$ one, considering a weighted Sobolev norm of the cost variable. This approach assumes that the cost variable belongs to the weighted Sobolev space $\mathcal{W}_{m,p,\mathbf{\Gamma}}$ , ensuring continuity and differentiability up to degree $m$ in a certain domain $\Omega$ . Consequently, in addition to the well-known features provided by the $\mathcal{H}_{\infty}$ approach in terms of disturbance attenuation, the closed-loop system benefits from the enhanced transient performance. Here, the robust nonlinear $\mathcal{W}_{\infty}$ optimal control problem is formulated via dynamic programming for increased-order systems, and a particular solution is proposed to the resulting Hamilton-Jacobi equation, along with the corresponding stability analysis. To validate the proposed method and its versatility, we provide numerical results for the control of a quadrotor. Additionally, leveraging the inherent $\mathcal{L}_{2}$ -gain properties of our approach, we demonstrate that the resulting controller can achieve trajectory tracking with guaranteed asymptotic stability for the whole closed-loop system.

关键词： Asymptotic stability Visualization Costs Trajectory tracking Optimal control Stability analysis Dynamic programming

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Low-Resolution Face Recognition for CCTV and Edge-Powered Smart Attendance Systems

Low-Resolution Face Recognition for CCTV and Edge-Powered Sm...

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IEEE Annual International Computer Software and Applications Conference (COMPSAC)

作者： Nico Surantha Edward Yose Sani Muhamad Isa Department of Electrical Electronics and Communication Engineering Faculty of Science and Engineering Tokyo City University Tokyo Japan Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350376968

ISBN: (纸本)9798350376975

Attendance systems have become more modern, and one of the biometric systems without physical contact is face recognition. However, many face-based attendance systems still carry out attendance individually and cannot detect multiple faces simultaneously. In addition, capturing facial data in real-time is still a challenge because the relatively large distance between the camera and the individual reduces the ability to recognize faces. The general solution is to use super-resolution to generate better-quality faces while maintaining the main facial recognition features. One technique still being researched is super-resolution generative adversarial networks (SRGAN). SRGAN can enlarge the resolution of captured images and maintain image quality sufficient for face recognition. The attendance system can be easily integrated into edge devices such as the Jetson Nano. This paper proposes automatic and effective attendance systems with the super-resolution technique to detect and recognize faces in low-resolution input. The experimental results show that using face data capture with a resolution of 40 × 40 pixels and a four-fold magnification results in a resolution of 160 × 160 pixels. Combining Face SRGAN with FaceNet architecture as the basis of face recognition can achieve an accuracy rate of 78.19% and an F1-Score of 81.13% with an average processing time of 1.61 seconds per frame on a PC and 14.55 seconds per frame on a Jetson Nano at an average of face recognition per frame of as many as up to 8 faces simultaneously.

关键词： Support vector machines Image quality Accuracy Face recognition Image edge detection Superresolution Generative adversarial networks

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Sleep Monitoring Systems based on Edge Computing and Microservices Caching

Sleep Monitoring Systems based on Edge Computing and Microse...

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Artificial Intelligence of Things (AIoT), IEEE Annual Congress on

作者： Nico Surantha David Jayaatmaja Sani Muhamad Isa Faculty of Science and Engineering Department of Electrical Electronics and Communication Engineering Tokyo City University Tokyo Japan Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350392296

ISBN: (纸本)9798350392302

The rapid development of Internet of Things (IoT) technology has enabled the widespread deployment of health monitoring systems. Traditionally, the health monitoring system has been limited by centralized processing and storage in the cloud, leading to latency issues and potential data loss. This paper introduces a smart sleep monitoring system based on edge computing, utilizing microservices architecture and caching techniques. The proposed system employs edge computing to enable data processing closer to the source, reducing latency and improving real-time monitoring capabilities. Caching is employed to reduce database load and optimize random access memory (RAM) usage. This research addresses latency and response time challenges on IoT health monitoring platforms in environments with poor network quality while optimizing database load and resource usage on Jetson Nano as the edge computing device. Using Electrocardiogram (ECG) data as input, the proposed system yields impressive performance metrics. The research results indicate that the proposed system can increase throughput by 26.92 KB/s, reduce response time by 18.8 ms, and decrease latency by 20.86 ms compared to the previous work. Message Queuing Telemetry Transport (MQTT) integration reduces CPU usage by approximately 40% and RAM usage by about 81.24%.

关键词： Cloud computing Databases Random access memory Microservice architectures Real-time systems Nanoscale devices Internet of Things

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Multiplierless MLP Using Successive Vector Approximation in Post-Training Quantization

Multiplierless MLP Using Successive Vector Approximation in ...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Luiz F. Da S. Coelho Paulo S. R. Diniz Didier Le Ruyet Lisandro Lovisolo Program of Electrical Engineering Federal University of Rio de Janeiro Rio de Janeiro Brazil Department of Electronics an Communication Engineering Rio de Janeiro State University Rio de Janeiro Brazil CNAM CEDRIC Paris France

ISBN: (数字)9798350356830

ISBN: (纸本)9798350356847

Edge computing and IoT devices may have energy constraints that make it challenging to execute complex algorithms. In this paper, we propose the use of Sums of signed Powers of Two (SoPoT) as a quantization method for MultiLayer Perceptron (MLP) Neural Networks (NN) to reduce the computational burden. The so-called Matching Pursuits with Generalized Bit Planes (MPGBP) algorithm efficiently quan-tizes the coefficients of the MLP into SoPoT. It provides a clear tradeoff between the number of Signed Powers of Two (SPT) and the approximation quality, which is advantageous for computation under limited power availability. We evaluate the quantization impact in a detection problem for Multiple-Input Multiple-Output (MIMO) communication, where the Bit Error Rate (BER) for the detection using the SoPoT quantization and infinite precision are compared. The results show that the proposition reduces the model’s computational burden at the expense of performance losses, resulting in a tradeoff between computational cost and performance.

关键词： Training Quantization (signal) Computational modeling Bit error rate Matching pursuit algorithms Artificial neural networks Multilayer perceptrons MIMO Vectors Internet of Things

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Three-phase Self-Excited Induction Generator Operating as Single-phase Induction Generator using Static VAR Compensator

Three-phase Self-Excited Induction Generator Operating as Si...

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International Conference on electrical engineering/electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Sawat Yukhalang Theppanom Sopapirm Vijit Kinnares The Electrical Engineering Graduate Program Faculty of Engineering and Technology Mahanakorn University of Technology Nongjok Bangkok Thailand Institute of Electrical and Electronics Faculty of Engineering and TechnologyMahanakorn University of Technology Nongjok Bangkok Thailand Department of Electrical Engineering School of Engineering King Mongkut’s Institute Technology Ladkrabang Chalongkrung Road Ladkrabang Bangkok Thailand

This paper proposes a performance analysis of using a static volt-amp-reactive (VAR) compensator for a three-phase self-excited induction generator (SEIG) operating as a single-phase induction generator. The study proposes appropriate capacitor for building up voltage supplying power to load with static VAR for regulating terminal voltage. The simulation model is analyzed by using MATLAB/Simulink under various conditions such as reactive power supplied, dynamic response, steady state, building up voltage for startup, linear load, non-linear load and harmonics in system. From the study (based on the study, the findings revealed it is found) that using the static VAR compensator connected in parallel with loads for supplying reactive power to the load systems is needed for maintaining terminal voltage.

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Modified Rainflow Algorithm for Lifetime Estimation of Semiconductors Devices 8

Modified Rainflow Algorithm for Lifetime Estimation of Semic...

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8th Southern Power electronics Conference and the 17th Brazilian Power electronics Conference, SPEC / COBEP 2023

作者： De Sousa, Renata Oliveira De Barros, Rodrigo Cássio Amorim, William Caires Silva Cupertino, Allan Fagner Pereira, Heverton Augusto Universidade Tecnológica Federal Do Paraná Department of Electronics Curitiba Brazil Universidade Federal Do Recôncavo da Bahia Centro de Ciências Exatas e Tecnológicas Cruz das Almas Brazil Universidade Federal de Minas Gerais Graduate Program in Electrical Engineering Belo Horizonte Brazil Universidade Federal de Juiż de Fora Department of Electrical Energy Juiz de Fora Brazil Universidade Federal de Vicosa Department of Electrical Engineering Viçosa Brazil

ISBN: (纸本)9798350321128

Reliable operation is essential for any power electronic system. Nevertheless, power electronic systems include a large number of fragile elements. Among these elements, the semiconductor devices are the most likely to fail. Recent reliability evaluation tools employ a cycle counting algorithm to compute the degradation in semiconductor devices, where the rainflow algorithm is the most popular. However, since the rainflow was first created for fatigue analysis, this algorithm presents some issues when applied for semiconductor devices. Indeed, the rainflow is unable to compute the effective heating time and time-dependent equivalent mean temperature of each thermal cycle. Besides, half-cycles are counted by conventional rainflow. However, apart from the half-cycles at the end of the data, these half-cycles should not be taken into consideration in the life consumption computation. Therefore, this work proposes a modified rainflow for the lifetime estimation of semiconductor devices. This methodology adapts the conventional rainflow to filter half-cycles and compute the effective heating time and the equivalent mean temperature. The impact of the methodology on lifetime estimation is verified in a modular multilevel converter. Besides, analyses with two distinct mission profiles are performed to evaluate the modified impact on lifetime estimation. The results demonstrated that the modified rainflow significantly affects the lifetime computation of all critical joints of an insulatedgate bipolar transistor (IGBT) module for both case studies considered. © 2023 IEEE.

关键词： cycle counting lifetime estimation modified rainflow algorithm semiconductor devices

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Local sampled-data gain-scheduling control of quasi-LPV systems 4th

Local sampled-data gain-scheduling control of quasi-LPV syst...

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4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control CESCIT 2021

作者： Coutinho, Pedro H.S. Peixoto, Márcia L.C. Bernal, Miguel Nguyen, Anh-Tu Palhares, Reinaldo M. Federal University of Minas Gerais Graduate Program in Electrical Engineering Brazil Department of Electrical and Electronics Engineering Sonora Institute of Technology Mexico Université Polytechnique Hauts-de-France LAMIH UMR CNRS 8201 France Federal University of Minas Gerais Department of Electronics Engineering Brazil

This paper deals with the problem of sampled-data gain-scheduling control design for affine quasi-LPV systems. As the control implementation is based on sample-data and its update occurs only at specific sampling instants, the state-dependent scheduling functions of the controller are piecewise continuous. This characteristic causes a mismatch between the system model and the controller parameters, namely asynchronous scheduling functions of the controller with respect to the plant during the inter-sampling behavior. To cope with this phenomenon, a polytopic description of the inter-sampling is constructed based on bounding assumptions on the scheduling functions and their time derivatives. Then, regarding a time-delay approach, a constructive and numerically implementable LMI-based synthesis condition is derived, and a convex procedure is proposed for enlarging the estimate of the region of attraction of the origin of the closed-loop system. The time-derivative bounds of the scheduling functions are explicitly accounted into the local analysis to ensure the method's implementation. A numerical example is provided to illustrate the proposed methodology. Copyright © 2021 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Controllers

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