2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)最新文献_第3页

Partial Power Converter Based on Isolated Wide Input Range DC-DC Converter for Residential PV Applications 基于隔离型宽输入范围DC-DC变换器的部分功率变换器

2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) Pub Date : 2022-12-19 DOI: 10.1109/JAC-ECC56395.2022.10044073

O. Abdel-Rahim, Adel Bedair, D. Vinnikov, A. Chub, A. Blinov

引用次数: 0

Image Classification of Natural Disasters Using Different Deep Learning Models 基于不同深度学习模型的自然灾害图像分类

2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) Pub Date : 2022-12-19 DOI: 10.1109/JAC-ECC56395.2022.10043965

Kibitok Abraham, M. Abdelwahab, M. Abo-Zahhad

引用次数: 0

FPGA Implementation of Recurrent Neural Network-Based Polar Decoder 基于循环神经网络的极性解码器的FPGA实现

2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) Pub Date : 2022-12-19 DOI: 10.1109/JAC-ECC56395.2022.10043968

Ziad Ibrahim, Yasmine Fahmy

{"title":"FPGA Implementation of Recurrent Neural Network-Based Polar Decoder","authors":"Ziad Ibrahim, Yasmine Fahmy","doi":"10.1109/JAC-ECC56395.2022.10043968","DOIUrl":"https://doi.org/10.1109/JAC-ECC56395.2022.10043968","url":null,"abstract":"Polar codes are part of the 5G technology enablers as they nearly achieve memoryless channels capacity. Recently, many researchers explored Machine-learning (ML) techniques to increase the effectiveness of polar codes decoders. Recurrent Neural Network Belief Propagation decoders (RNN-BP) demonstrated superior efficiency in fewer cycles than standard Polar decoders, as traditional Belief propagation decoders performed poorly throughout a limited number of iterations. In this paper, we present the first implementation of the RNN-BP on Field Programmable Gate Arrays (FPGA). Two implementations are presented in this paper. The first one uses a single processing unit, and the second one is enhanced by multiple processing units with a pipeline register. The multiple processing units’ design of RNN-BP shows much higher throughput which is 17x of belief propagation decoder implementation and 3x of the Soft-output CANcellation (SCAN) decoder implementation. We also achieved better BER than the two mentioned implementations 7. 08x than the original BP and 4. 5x better than the SCAN implementation. The combined memory and registers resource consumption in our design is less than the compared two implementations while consuming a larger number of look-up tables (LUTs).","PeriodicalId":326002,"journal":{"name":"2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126360769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dedicated Energy Beamforming in Distributed Antenna Systems Using Antenna-Group Common Reference Signals 基于天线群公共参考信号的分布式天线系统专用能量波束形成

2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) Pub Date : 2022-12-19 DOI: 10.1109/JAC-ECC56395.2022.10044048

M. Fujii

引用次数: 0

Proposed HCDNA for Enhancing the Security of Marine Environment IoT Systems 提高海洋环境物联网系统安全性的HCDNA

2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) Pub Date : 2022-12-19 DOI: 10.1109/JAC-ECC56395.2022.10044040

Tokka Elsayed Ahmed, Walid A. Raslan, Atif Ghouniem, H. Abdel-Atty

{"title":"Proposed HCDNA for Enhancing the Security of Marine Environment IoT Systems","authors":"Tokka Elsayed Ahmed, Walid A. Raslan, Atif Ghouniem, H. Abdel-Atty","doi":"10.1109/JAC-ECC56395.2022.10044040","DOIUrl":"https://doi.org/10.1109/JAC-ECC56395.2022.10044040","url":null,"abstract":"Recently, the shipping industry and marine operations have been intensively reliable on the internet of things (IoT).IoT devices are used for the automation of shipping operations cargo tracking and security monitoring of the ships. In this paper, we focus on maintaining efficient security levels for marine communications. We propose new cryptographic methods based on the hyperchaotic sequence and the DNA sequence for image encryption. The proposed algorithm is applied to a smart buoy to enhance the security of the transmitted image through IoT systems in shipping industry monitoring. In addition, we evaluate and analyze the performance of three existing encryption algorithms for IoT (Blowfish, Advanced Encryption Standard (AES), and International Data Encryption Algorithm (IDEA)). Furthermore, a comparison was conducted between the three existing algorithms and the proposed one in terms of encryption time, correlation coefficient, and entropy before and after encryption. The simulation experiments show that the proposed cryptographic method outperforms the three existing algorithms in terms of quality, security, and robustness against noise as well as overall performance.","PeriodicalId":326002,"journal":{"name":"2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134447785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stability and Hopf Bifurcation Analysis of a Tumor Immune Model of virus infection with Time-delay 时滞病毒感染肿瘤免疫模型的稳定性和Hopf分岔分析

2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) Pub Date : 2022-12-19 DOI: 10.1109/JAC-ECC56395.2022.10043892

Hazem M. Abd ElRaouf, Alhaytham M. Aref, A. Elsherif, Mohamed E. Khalifa

引用次数: 0

Classification of ECG Signals for Detecting Coronary Heart Diseases Using Deep Transfer Learning Techniques 基于深度迁移学习技术的心电信号分类检测冠心病

2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) Pub Date : 2022-12-19 DOI: 10.1109/JAC-ECC56395.2022.10043970

M. Abo-Zahhad, Ashraf Mohamed Ali Hassan

{"title":"Classification of ECG Signals for Detecting Coronary Heart Diseases Using Deep Transfer Learning Techniques","authors":"M. Abo-Zahhad, Ashraf Mohamed Ali Hassan","doi":"10.1109/JAC-ECC56395.2022.10043970","DOIUrl":"https://doi.org/10.1109/JAC-ECC56395.2022.10043970","url":null,"abstract":"Deep learning (DL) techniques were applied to ElectroCardioGrams (ECGs) for identifying abnormalities in heart diseases. The application of a convolutional neural network is discussed in this paper to perform the detection of coronary heart diseases by extracting QRS complexes and the error signal features. AlexNet, VGG19, ResNet50, GoogleNet, and NasNetLarge pretrained transfer learning models are adopted using the adaptive moment estimate (Adam) and stochastic gradient descent with momentum (SGDM) optimizers for training, testing, and validation. Here, 3 classes of heart diseases have been considered; namely arrhythmia, cardiomyopathy, and ischemia. The suggested method is aimed at automatically detecting these diseases based on ECG signals collected from MIT-BIH databases. The obtained results show that the Adam optimizer outperforms the SGDM optimizer for the five DL architectures. For AlexNet adopting Adam, the accuracy of detecting Arrhythmias, Ischaemia, and Cardiomyopathy is 98.2%, 95.9%, and 93.5% respectively. ResNet-50 and NasNetLarge with the same optimizer, have 98.0%, 96. 9%, 92.3 %, 97.9%, 95.7%, and 94.0 % accuracy in detecting Arrhythmias, Ischaemia, and Cardiomyopathy respectively. In addition, the subtraction of the QRS complexes from the clean ECG signal computationally outperforms the cutting-edge method based on using the continuous wavelet transform method. The reason is that the wavelet method is computationally expensive compared to the proposed QRS-complex subtraction method that results in integer error samples. So, the average execution time is significantly less.","PeriodicalId":326002,"journal":{"name":"2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133165033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Comparison of Energy Aware and Cost Subsidy Multi Armed Bandit Solutions for Supreme Channel Election in Hybrid Band Systems 混合频段系统中最高信道选举的能量感知与成本补贴多武装强盗方案比较

2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) Pub Date : 2022-12-19 DOI: 10.1109/JAC-ECC56395.2022.10043887

S. Hashima, Kohei Hatano, E. M. Mohamed

{"title":"Comparison of Energy Aware and Cost Subsidy Multi Armed Bandit Solutions for Supreme Channel Election in Hybrid Band Systems","authors":"S. Hashima, Kohei Hatano, E. M. Mohamed","doi":"10.1109/JAC-ECC56395.2022.10043887","DOIUrl":"https://doi.org/10.1109/JAC-ECC56395.2022.10043887","url":null,"abstract":"Recent wireless communication systems, such as device-to-device (D2D) communications and internet of things (IoT), etc., support hybrid band frequencies to sustain the user demands in B5G/6G systems throughout switching between bands and avoid connection loss. This paper compares two online learning solutions for optimal band/channel assignment in hybrid radio frequency (WiFi and WiGig) and visible light communication (RF/VLC) wireless systems. In such scenarios, the multi-band source/transmitter (S/Tx) has no prior knowledge about distinct channel characteristics, including their transmission rates and consumed energy. Therefore, to extend its limited battery, the S/Tx has to target the best arm/band with the least possible consumed power. Hence, we compare two Multi Armed Bandit (MAB)-based solutions, which are costsubsidy MABs (CSMABs), where the S/Tx sacrifices with the highest reward in order to select the lowest cost arm/operating frequency and energy-aware MABs (EAMABs) where the cost term is amended only to the exploration term. In both methods, the S/Tx targets to maximize his cumulative payoff (transmission rate) and minimize his cost (battery expenditure due to the operating band/frequency). Numerical simulations indicate that proposed CS-MAB schemes outperform purely explored MABs via Thompson sampling (TS), upper Confidence bound (UCB), and benchmark multi-band election (MBE) approaches, correspondingly in terms of transmission rates and energy efficiency.","PeriodicalId":326002,"journal":{"name":"2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129465827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

SkinFormer: Robust Vision Transformer for Automatic Skin Disease Identification SkinFormer:用于自动皮肤病识别的鲁棒视觉变压器

2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) Pub Date : 2022-12-19 DOI: 10.1109/JAC-ECC56395.2022.10044005

Mohamed Osman, Mohamed Kamel, F. Mohammed, Tarek Hussein

{"title":"SkinFormer: Robust Vision Transformer for Automatic Skin Disease Identification","authors":"Mohamed Osman, Mohamed Kamel, F. Mohammed, Tarek Hussein","doi":"10.1109/JAC-ECC56395.2022.10044005","DOIUrl":"https://doi.org/10.1109/JAC-ECC56395.2022.10044005","url":null,"abstract":"The largest, most visible, and most exposed organ of the human body is the skin. Skin diseases impact about a third of the global population. Furthermore, many serious skin diseases, such as melanoma, may remain misdiagnosed for years since only experienced dermatologists can reliably diagnose them. As a result, some regions and demographic groups may be more negatively impacted than others in terms of access to such medical professionals. Given the range and possible hazards of skin diseases, democratizing access to accurate identification is critical. Fortunately, automated deep-learning systems have made significant advances in picture classification in recent years. In this paper we present SkinFormer, a vision transformer trained using strong augmentations and optimization techniques to ensure robustness and generalization. The dataset we use is a combination of 3 different datasets from previous works, and contains a total of 48,322 images. The choice of datasets and augmentations ensures strong generalization even on consumergrade hardware. We achieve a top-1 accuracy of 84.43% and a top-5 accuracy of 93.89%. We publish pre-trained model weights under an open source license.","PeriodicalId":326002,"journal":{"name":"2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127878370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic Analog and Mixed-Signal Physical Design Review 自动模拟和混合信号物理设计评论

2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) Pub Date : 2022-12-19 DOI: 10.1109/JAC-ECC56395.2022.10043953

Rana Nader, Islam Nashaat, M. Dessouky

引用次数: 0