2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)最新文献_第4页

LEO Satellites Attitude Control using Image Processing 基于图像处理的低轨道卫星姿态控制

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2019-07-01 DOI: 10.1109/icecce47252.2019.8940795

A. B. Ahmed, Syed Ali Abbas Kazmi, Tabinda Sarwar

引用次数: 0

Performance Enhancement of Power Converters for PV-Based Microgrid using Model Predictive Control 基于模型预测控制的微电网电源变流器性能增强研究

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2019-07-01 DOI: 10.1109/icecce47252.2019.8940753

Habib Ur Rahman Habib, Shaorong Wang, M. Elmorshedy, A. Waqar, Rasool M. Imran, Kotb M. Kotb

{"title":"Performance Enhancement of Power Converters for PV-Based Microgrid using Model Predictive Control","authors":"Habib Ur Rahman Habib, Shaorong Wang, M. Elmorshedy, A. Waqar, Rasool M. Imran, Kotb M. Kotb","doi":"10.1109/icecce47252.2019.8940753","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940753","url":null,"abstract":"PV-based renewable energy systems are integrated in microgrids (MGs) throughout power electronic converters. During external disturbances of abrupt load variation and PV generation fluctuation, controllers play the most key role in regulating the system performance. In this paper, a proposed combination control method of model predictive control (MPC) and sliding mode control (SMC) for moderating the power converters is presented. The interlinking inverter is controlled via applying MPC while DC-DC converter is controlled by SMC. MPC is well known as most reliable and modern approach for non-linear systems to compensate noise and handle modeling inaccuracies for efficient load voltage profile. On the other hand, SMC is considered as the most stable controller with highly robust operation for DC-DC converters. Intermittency nature of renewable energy systems and abrupt load variation have a severe impact on load voltage quality. Keeping in view the sophisticated control attributes of MPC and SMC, inner and outer control loops with primary droop control are designed for interlinking converter by using MPC while SMC is designed for the DC-DC boost converter. Controller performance is analyzed through simulations with fluctuating generation, and variable loads. Unlike conventional cascaded PI controller, proposed MPC strategy is simple, robust with fast dynamic response.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116238473","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 between Kalman Filter and Interacting Multiple Model using 2-D trajectories 二维轨迹下卡尔曼滤波与交互多模型的比较

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2019-07-01 DOI: 10.1109/icecce47252.2019.8940755

Aiman Khan, Dr Aamer Iqbal Bhatti

引用次数: 0

Real-Time Multipath Transmission Protocol (RMTP): A Software Defined Networks (SDN) based Routing Protocol for Data Centric Networks 实时多路径传输协议(RMTP):一种基于软件定义网络(SDN)的数据中心网络路由协议

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2019-07-01 DOI: 10.1109/icecce47252.2019.8940652

Muhammad Junaid Anjum, I. Raza, S. Hussain

{"title":"Real-Time Multipath Transmission Protocol (RMTP): A Software Defined Networks (SDN) based Routing Protocol for Data Centric Networks","authors":"Muhammad Junaid Anjum, I. Raza, S. Hussain","doi":"10.1109/icecce47252.2019.8940652","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940652","url":null,"abstract":"In last couple of years, Data Center Networks (DCN) has shown to cement itself as a major infrastructure. With the increasing demands of cloud services and applications, it has also presented that the amount of data being generated is increasing at an alarming rate. This increase in data rate brings with itself several problems related to network management, primary of which constitutes of routing elephant flows alongside mice flows and utilizing all the available resources. Conventional DCN approaches are not up to par with the current amount of data being transmitted in a data center network as most DCN use Equal Cost Multipath protocol (ECMP) which though performs well, however is unable to utilize all the resources. This is mainly due to the selection of shortest path based on available links and selecting the best one. This though helping in network transmission, also presents the issue of under-utilization of spare links. Considering this, Software Defined Network (SDN) is a current network paradigm which can be implemented in a DCN network to make the management of a network easier. This paper presents the Real-Time Multipath Transmission Protocol (RMTP) which makes use of SDN for the regulation of multiple paths in DCN. The proposed RMTP would select the best path in a DCN and send majority of elephant flows on that link. The other remaining links will also be utilized in parallel to transmit the remainder of the data. RMTP was evaluated in an SDN emulated environment and compared against existing DCN protocols. The paper shows that RMPT improves the transmission of big data in terms of throughput, packet loss and throughput during link failure by more than 50%.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129611656","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

Data Aided Channel Estimation for OFDM Wireless Systems using Reliable Carriers 使用可靠载波的OFDM无线系统的数据辅助信道估计

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2019-07-01 DOI: 10.1109/icecce47252.2019.8940669

Inaamullah Khan, M. Cheffena, M. M. Hasan

引用次数: 1

Transfer Learning of a Neural Network Using Deep Learning to Perform Face Recognition 利用深度学习进行人脸识别的神经网络迁移学习

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2019-07-01 DOI: 10.1109/icecce47252.2019.8940754

Suleman Khan, Ehtasham Ahmed, M. Javed, Syed A A Shah, Syed Umaid Ali

{"title":"Transfer Learning of a Neural Network Using Deep Learning to Perform Face Recognition","authors":"Suleman Khan, Ehtasham Ahmed, M. Javed, Syed A A Shah, Syed Umaid Ali","doi":"10.1109/icecce47252.2019.8940754","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940754","url":null,"abstract":"Deep Learning can be used to solve different problems in image analysis and pattern recognition. Face recognition is it's one of the applications. The use of face recognition to solve different social problems like personal authentication and security is increasing rapidly. In past different face recognition techniques have been introduced like Fisherfaces, Eigenfaces, and LBPH. These methods have low accuracy, so neural networks are used. The deep learning based neural networks are the most accurate. The parameters of the network can be tuned to achieve high accuracy. Face recognition requires a data base of individuals to train a neural network using deep learning. The trained network is then capable of recognition. The framework of the facial recognition process using transfer learning of the pre-trained neural network is described in this paper. We have used AlexNet for recognition which is a pre-trained convolutional neural network. Transfer learning of this pre-trained network has given accuracy of 97.95%. It can be used to classify 1000 different people. For recognition purpose, it requires a large database at least one thousand images per class. The accuracy is although high as compared with techniques mentioned above.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121016433","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

Financial Impact of Energy Efficient Retrofits on Design of Grid Tied Solar Systems in Pakistan 节能改造对巴基斯坦并网太阳能系统设计的财务影响

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2019-07-01 DOI: 10.1109/icecce47252.2019.8940648

Tallal Ahmed, Muhammad Ammar Yaqoob, Wajahat Sultan, M. Latif, Waqas Khlaid, Imran Ali Shah

{"title":"Financial Impact of Energy Efficient Retrofits on Design of Grid Tied Solar Systems in Pakistan","authors":"Tallal Ahmed, Muhammad Ammar Yaqoob, Wajahat Sultan, M. Latif, Waqas Khlaid, Imran Ali Shah","doi":"10.1109/icecce47252.2019.8940648","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940648","url":null,"abstract":"Pakistan is an energy starving country. To eliminate the electricity's demand and supply gap, both energy conservation and energy generation is required. Demand side load reduction by energy efficient retrofits has gained attention in last few years. Consumers are encouraged to install LED lights, inverter based split air conditioners and energy efficient fans to reduce the electricity consumption. Besides electricity conservation, solar photovoltaic power systems are also widely installed to reduce the utility bills and grid dependency. Often both retrofitting and solar system are considered to implement simultaneously but consumers perceive it expensive and financially nonviable. This study is based on financial analysis of solar power system for a public institute. It includes comparison of two solar systems; one for existing load of institute and the other for retrofitted load. The study concludes that solar system for retrofitted load is economic and it also increases the distribution capacity of the existing electrical network. Installation of solar system on retrofitted load reduces the energy drawn from grid, likewise energy bills and stress on distribution and transmission lines.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129030046","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

Concertina Gait Learning for Snake Robot using Artificial Neural Network 基于人工神经网络的蛇形机器人手风琴步态学习

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2019-07-01 DOI: 10.1109/icecce47252.2019.8940791

M. Gul, Abdul Samad, A. Ullah, Z. Abbas, Janzaib Masood

{"title":"Concertina Gait Learning for Snake Robot using Artificial Neural Network","authors":"M. Gul, Abdul Samad, A. Ullah, Z. Abbas, Janzaib Masood","doi":"10.1109/icecce47252.2019.8940791","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940791","url":null,"abstract":"In this project we have tested evolutionary process on concertina motion of snake robot. Concertina motion is a type of gait in snake in which it draws its body into sine curve then motion begins by extending its head and forward parts of the body by using frictional forces. This type of gait enable snake to move in narrow spaces. Here we have designed our snake robot in Bullet-Physics environment while Hill-Climber algorithm which is a genetic algorithm has been used to optimize the Artificial Neural Network for to give our robot the evolving capability. A multi-objective Fitness Function is designed in bullet-physics engine which reinforces learning of sinusoidal curve in snake and also reinforces forward motion in it. This multi-objective function seems to be promising as compare to single-objective as it considers the shape of the robot and takes into account the distance as well. Here in our experiment the locomotion controller quickly evolved and the desired behaviors have been obtained. Concertina motion with the proposed evolving capabilities make it a good solution for designing basic motion pattern for snake robots.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130817407","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

Enhanced Cooperative Spectrum Sensing in Cognitive Radio Network Using Flower Pollination Algorithm 基于花授粉算法的认知无线电网络协同频谱感知

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2019-07-01 DOI: 10.1109/icecce47252.2019.8940719

H. Asfandyar, N. Gul, I. Rasool, A. Elahi

{"title":"Enhanced Cooperative Spectrum Sensing in Cognitive Radio Network Using Flower Pollination Algorithm","authors":"H. Asfandyar, N. Gul, I. Rasool, A. Elahi","doi":"10.1109/icecce47252.2019.8940719","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940719","url":null,"abstract":"Spectrum sensing is of great importance in Cognitive Radio Network (CRN). It cannot be achieved by a single user owing to multipath fading and shadowing effect. Therefore, more than one user is required to accurately sense the spectrum availability as in Cooperative Spectrum Sensing. All sensing statistics are collected at Fusion Center (FC) from cooperative users and FC combines them to reach to a common global decision. As these users are far apart from each other, therefore they experience different channel conditions. So, it is necessary to deal with the incoming data received from these Secondary Users (SU) differently. The proposed scheme of Flower Pollination Algorithm (FPA) intelligently finds optimum weighting coefficients against cooperative users' information and utilizes these weights in the global decision of the Soft Decision Fusion (SDF). This scheme is able to find optimum weights that lead to minimum false alarm, high detection and minimum error probability. The system is simulated for different numbers of the cooperative users and Signal-to-Noise Ratios (SNRs) that shows better sensing performance of the proposed FPA based scheme against the Differential Evolution (DE), Genetic Algorithm (GA), Maximum Gain Combination (MGC), Particle Swarm Optimization (PSO), and Count techniques.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116935224","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: 3

Design and Modeling of a 28/38/60/70/80 GHz Antenna for Fifth Generation (5G) Mobile and Millimeter Wave (mmW) Applications 面向第五代(5G)移动和毫米波(mmW)应用的28/38/60/70/80 GHz天线设计与建模

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Pub Date : 2019-07-01 DOI: 10.1109/icecce47252.2019.8940640

Raza Ullah, S. Ullah, Syed Muhammad Umar, Rizwan Ullah, Babar Kamal

{"title":"Design and Modeling of a 28/38/60/70/80 GHz Antenna for Fifth Generation (5G) Mobile and Millimeter Wave (mmW) Applications","authors":"Raza Ullah, S. Ullah, Syed Muhammad Umar, Rizwan Ullah, Babar Kamal","doi":"10.1109/icecce47252.2019.8940640","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940640","url":null,"abstract":"This paper presents design of a 5th generation (5G) array antenna for future 28 GHz, 38 GHz and 60 GHz mobile applications. The individual elements of the array antenna consists of unique shape patches printed on top and bottom sides of a Rogers RT5880 substrate, having relative permittivity and thickness of 2.2 and 0.8 mm, respectively. The size of the single element of the 5G array antenna is 0.8λxλ, where λ is free-space wavelength at 60 GHz. With an interelement spacing of 0.64λ the overall size of the proposed 1x8 element array is 0.8λx5λ. The antenna radiates in a wider frequency band (21.33-90 GHz), which covers the three 5G frequency bands of 28 GHz, 38 GHz and 60 GHz as well as the millimeter wave (mmW) bands of 70 GHz and 80 GHz. The 28 GHz, 38 GHz and 60 GHz (57–64 GHz), bands are recommended for future high-speed 5G applications. The antenna has decent gains (>13 dB) in the 5G bands and can be used in 5G mobile handsets and ultra-high speed wireless communications. The antenna also gives a decent gain (10.45~13.54 dB) in the mmWave bands of 70 GHz and 80 GHz. The modeling and simulation of the proposed antenna are performed in CST Microwave Studio.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128420797","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: 3