2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)最新文献_第3页

Half-Arrow Miniaturized Antenna for Inter-Satellite Communications Using HMSIW 基于HMSIW的半箭头微型卫星间通信天线

2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) Pub Date : 2018-12-01 DOI: 10.1109/JEC-ECC.2018.8679533

Maha A. Maged, F. Elhefnawi, H. Akah, A. El-Akhdar, H. El-Hennawy

引用次数: 1

PLANTAE: An IoT-Based Predictive Platform for Precision Agriculture PLANTAE:基于物联网的精准农业预测平台

2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) Pub Date : 2018-12-01 DOI: 10.1109/JEC-ECC.2018.8679571

M. Hossam, Mohamed Kamal, M. Moawad, Mohamed Maher, Mohamed Salah, Youssef Abady, A. Hesham, Ahmed K. F. Khattab

引用次数: 9

A Simple Graphical User Interface Based Program to Calculate SIW Effective Width 基于简单图形用户界面的SIW有效宽度计算程序

2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) Pub Date : 2018-12-01 DOI: 10.1109/JEC-ECC.2018.8679547

A. El-Akhdar, H. El-Hennawy, A. El-Tager, Electronic Engineering

引用次数: 0

Performance Evaluation of Hybrid ACE-TRNS PAPR Reduction Technique ACE-TRNS复合还原技术的性能评价

2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) Pub Date : 2018-12-01 DOI: 10.1109/JEC-ECC.2018.8679561

Mohamed Mounir, M. El-Mashade

{"title":"Performance Evaluation of Hybrid ACE-TRNS PAPR Reduction Technique","authors":"Mohamed Mounir, M. El-Mashade","doi":"10.1109/JEC-ECC.2018.8679561","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679561","url":null,"abstract":"Orthogonal Frequency Division Multiplexing (OFDM) is widely used in high data rate wireless applications, due to its ability to mitigate frequency selectivity. However, OFDM suffers from high Peak-to-Average Power Ratio (PAPR) problem. In literature, there are various PAPR reduction techniques among them only; Active Constellation Extension (ACE), Tone Reservation based on Null Subcarriers (TRNS), and Partial Transmit Sequence (PTS) whose can work as downward-compatible techniques, i.e. receivers doesnt have to be modified. Generally, PAPR reduction techniques are required to have downward compatibility, no data rate loss, no Side Information (SI), small computational complexity, and large PAPR reduction gain. However, no one of them has all these requirements and no PAPR reduction technique can be considered as the best among others. Thus, recent trend in this field is to make hybridization between different PAPR reduction techniques in one scheme, to gain the advantages of two or more conventional techniques. In literature, there are plenty of hybrid PAPR reduction techniques. Among them, only hybrid ACE- PTS that has downward compatibility, however its downward compatibility depends on channel estimation and the used application. In this paper we propose hybrid ACE- TRNS that is downward compatible technique regardless the used application and independent of channel estimation. Results showed that, for different modulation schemes, ACE- TRNS has PAPR reduction performance better than that of ACE-PTS, with less computational complexity.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123115569","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: 2

Situation-Based Dynamic Frame-Rate Control for on-Line Object Tracking 基于情境的在线目标跟踪动态帧率控制

2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) Pub Date : 2018-12-01 DOI: 10.1109/JEC-ECC.2018.8679545

Y. Inoue, T. Ono, Koji Inouer

引用次数: 1

Patch-Based Document Denoising 基于补丁的文档去噪

2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) Pub Date : 2018-12-01 DOI: 10.1109/JEC-ECC.2018.8679566

Shaimaa S. A. Mohamed, M. Rashwan, Sherif M. Abdou, Hassanin M. Al-Barhamtoshy

引用次数: 3

Comparative Study of FinFET Versus HKMG Bulk CMOS in 16 nm Technology: Current Mirror Perspective 16纳米技术中FinFET与HKMG块体CMOS的比较研究:电流镜视角

2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) Pub Date : 2018-12-01 DOI: 10.1109/JEC-ECC.2018.8679536

B. Hesham, E. Hasaneen, H. Hamed

引用次数: 3

C-RAN Availability Improvement Using Parallel Hybrid FSO/mmW 5G Fronthaul Network 利用并行混合FSO/mmW 5G前传网络提高C-RAN可用性

2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) Pub Date : 2018-12-01 DOI: 10.1109/JEC-ECC.2018.8679573

Mahmoud A. Hasabelnaby, H. Selmy, M. Dessouky

{"title":"C-RAN Availability Improvement Using Parallel Hybrid FSO/mmW 5G Fronthaul Network","authors":"Mahmoud A. Hasabelnaby, H. Selmy, M. Dessouky","doi":"10.1109/JEC-ECC.2018.8679573","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679573","url":null,"abstract":"New innovation approach called -centralized radio access network (Cloud-RAN or C-RAN)- architecture is developed to meet the explosive growth in mobile traffic in 5G mobile networks especially in the need of high -speed, high capacity, real-time data, and high-reliability. In C-RAN architecture, fronthaul networks connect between the radio units called -Remote Radio Heads (RRHs)- and the processing unit called -Base Band Processing Unit (BBU)-. Recently, hybrid free space optics (FSO) and millimeter waves (mmW) network is considered to be a promising solution that can match with the requirements of 5G fronthaul networks. In this paper, hybrid FSO/mmW links at each RRH is proposed to enhance the performance of C-RAN fronthaul network at various weather conditions. The performance of hybrid FSO/mmW technology as a fronthaul network is evaluated at different weather conditions and compared to other technologies. The numerical results reveal that improvements are obtained in network reliability using hybrid FS O/mm W fronthaul network, especially at severe weather conditions.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116489246","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: 4

Deep Convolutional Network for Arabic Sentiment Analysis 阿拉伯语情感分析的深度卷积网络

2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) Pub Date : 2018-12-01 DOI: 10.1109/JEC-ECC.2018.8679558

Eslam Omara, Mervat Mosa, Nabil A. Ismail

{"title":"Deep Convolutional Network for Arabic Sentiment Analysis","authors":"Eslam Omara, Mervat Mosa, Nabil A. Ismail","doi":"10.1109/JEC-ECC.2018.8679558","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679558","url":null,"abstract":"Applying deep Convolutional Neural Networks (CNNs) for Sentiment Analysis (SA) has achieved improvements over the state-of-the-art. CNNs are powerful at extracting hierarchical representation of the input by stacking multiple convolutional and pooling layers. Word embedding is the common approach used for text representation in convolutional networks applied for sentiment analysis. Another technique is combining both word level and character level features. Recently, deep architectures based on character level features only showed more enhanced performance. In this paper two deep CNNs are applied for Arabic sentiment analysis using character level features only. A large scale dataset is constructed from available SA datasets in order to train networks. The dataset maintains opinions from different domains expressed in different Arabic forms (Modern Standard, Dialectal). Besides different machine learning algorithms as Logistic Regression, Support Vector Machine and Naïve Bayes have been applied to assess the performance on such a large dataset. Up to the available knowledge this is the first application of character level deep CNNs for Arabic language sentiment analysis. Results show the ability of Deep CNNs models to classify Arabic opinions depending on character representation only and register 7% enhanced accuracy compared to machine learning classifiers.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121779789","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: 15

Tomographic Image Reconstruction and Inverse Scattering Problem of Biological Objects in Terahertz Range 太赫兹生物目标层析成像重建及逆散射问题

2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC) Pub Date : 2018-12-01 DOI: 10.1109/JEC-ECC.2018.8679572

A. I. M. Hassanin, Amr Saadeldien Elsaved Shaaban, F. El-Samie

引用次数: 1