2018 Third Scientific Conference of Electrical Engineering (SCEE)最新文献_第6页

System on Chip Implementation of Compiler Stack with a Delimiter Matching Application 带分隔符匹配应用的编译器堆栈的片上系统实现

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684137

Sarmad F. Ismael, Omar T. Zyad, Y. Qassim

引用次数: 0

An Effective Combining Transformer to RelieveFiber Nonlinearity in CO-OFDM System 一种有效缓解CO-OFDM系统中光纤非线性的组合变压器

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684035

L. A. AL-Hashemi, Sinan M. Abdul satar, G. Al-Suhail

{"title":"An Effective Combining Transformer to RelieveFiber Nonlinearity in CO-OFDM System","authors":"L. A. AL-Hashemi, Sinan M. Abdul satar, G. Al-Suhail","doi":"10.1109/SCEE.2018.8684035","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684035","url":null,"abstract":"This paper mainly concerns on reducing the impact of chromatic dispersion (CD) and the nonlinear(NL) impairments in coherent optical orthogonal frequency division multiplexing (CO-OFDM) system. In effect, the system suffers from a severe problem due to a high peak to average power ratio (PAPR); and this consequently degrades the system performance. In this paper, a new method is proposed to mitigate the PAPR problem and thereby reduce the impact of nonlinearity on the performance of the CO-OFDM system with quadrature amplitude modulation QAM mapping. The recommended new technique is based on combining two effective ways of clipping method integrated with the L2-by3 method. The simulation results indicate that the proposed method was effectively able to improve system performance by enhancing system performance via bit error rate (BER), quality factor (QF), error vector magnitude (EVM) beside the Optical Signal-to-Noise Ratio (OSNR) without the need to add any digital processing at the receiver; and eventually decrease the receiver complexity. The proposed method reduced the peak to average power ratio (PAPR) about 3.8 dB and helped to increase transmission distance by approximately 200 km.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"79 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":"115285621","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

Load Frequency Control for Hybrid Micro-grid Using MRAC with ANN Under-sudden Load Changes 负荷突变下基于神经网络的MRAC混合微电网负荷频率控制

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684061

M. M. Mahdi, Ekhlas Mhawi Thajeel, A. Z. Ahmad

引用次数: 4

Intelligent Fuzzy PD Controllers Design for XY Table of Semiconductor Packaging Based on ALO 基于ALO的半导体封装XY工作台智能模糊PD控制器设计

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684210

Z. A. Karam, Shahad S. Ghintab, Aymen M. Al-Kadhimi

{"title":"Intelligent Fuzzy PD Controllers Design for XY Table of Semiconductor Packaging Based on ALO","authors":"Z. A. Karam, Shahad S. Ghintab, Aymen M. Al-Kadhimi","doi":"10.1109/SCEE.2018.8684210","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684210","url":null,"abstract":"Computer numerical control (CNC) machines have resulted in releasing the industry in a fast way, especially in the last decades. One of those CNC structures is the two-dimension (XY) motion table of semiconductor packaging. The type of process that is done by these machines is quite precise in positioning stage. The (XY) table has a nonlinear model which is caused by both of the electrical parts and the motion friction parts, and that leads to making the positioning process inaccurate. This paper presents two intelligent fuzzy logic controllers (FLC) that are used in controlling the motion position of the (XY) table nonlinear model. The first controller is the fuzzy proportional derivative PD-like FLC and the second is feedback fuzzy PD-like FLC with forwarding gain. The Ant-Lion Optimizer (ALO) will use to obtain optimal controllers gains based on cost function which gives minimum control signal characteristics of a minimum settling time, rise-time and proper overshoot. Results show enhancement in the proposed controllers via control signal characteristics compared with the previous works in literature.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"53 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":"132172735","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

FPGA Cyclone II based the Mobile Robot Control System 基于FPGA Cyclone II的移动机器人控制系统

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684214

Reem Ibrahim Mohammed, Saad Mutashar Abbas, Abbas H. Issa

{"title":"FPGA Cyclone II based the Mobile Robot Control System","authors":"Reem Ibrahim Mohammed, Saad Mutashar Abbas, Abbas H. Issa","doi":"10.1109/SCEE.2018.8684214","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684214","url":null,"abstract":"Mobile robots are expected to be used in harsh and non-organized environments. Such as the applications that robots need to Collection of information from complex conditions for their functioning which have become very common, especially in places that are hard to reach by humans. The wireless capability, avoid obstacles and speed/position controllers have taken great interest in the design of mobile robots because of the extensive use in industrial and service fields. Therefore, the realization of efficient and robust robot system still a challenging task. This paper presents a mobile robot with an Artificial Neural Network (ANN) controller implemented on Altera FPGA mini-board with wireless capability to move to a specific distance by avoiding the obstacle. This system uses Nios II/e soft-core processor instantiated in ANN control of the motors based on the data provided by the sensors. The design shows flexibility in hardware and software, where the design can be modified easily by inserting more complex function due to the capacity of FPGA in contrast to existing microcontroller or microprocessor -based designs. In comparison with previous research, the application of robots based on the existing design is the presence of microcontroller such as Arduino with FPGA. In the research, the only FPGA offering the possibility of adding more complex functions to the ability of the robot is used.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"5 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":"126479205","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

Buck-Boost In-Out of Phase Y-source AC Matrix Converter 负升压入出相y源交流矩阵变换器

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684138

Kadhim M. AL-Hakeem, Oday A. Ahmad

引用次数: 2

A New Technique for the Characterization and Design of Class-F RF Power Amplifiers f类射频功率放大器的表征与设计新技术

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684205

Firas Mohammed Ali Al-Raie, Mahmuod Hamza Al-Muifraje, Thamir R. Saeed

引用次数: 4

Performance Comparison of Hybrid Chaotic Maps Based on Speech Scrambling for OFDM Techniques 基于语音置乱的OFDM混合混沌映射性能比较

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684176

Ammar M. Raheema, S. Sadkhan, Sinan M. Abdul Sattar

{"title":"Performance Comparison of Hybrid Chaotic Maps Based on Speech Scrambling for OFDM Techniques","authors":"Ammar M. Raheema, S. Sadkhan, Sinan M. Abdul Sattar","doi":"10.1109/SCEE.2018.8684176","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684176","url":null,"abstract":"This paper presents a speech encryption model that uses two different chaotic maps (Hennon and Logistic maps) based on the OFDM technique. The purpose of using the encrypted chaotic key in OFDM techniques is to improve the Bit Error Rate (BER) performance in receiver side which has robustness against AWGN effects, thus increasing the security of data transmitted. In the last few years, a significant research effort has been devoted, concerning secret chaotic key as compared with the conventional OFDM modulation schemes. Chaotic maps have a wideband, non-periodic, unpredictable nature, very sensitive to initial conditions; so chaotic map is used for security. This paper uses two chaotic maps Logistic & Hennon each individually to create encrypted undercover keys and compares a model performance between them. The comparison showed that the performance is similar to the two chaotic maps with a minimal difference between them (After SNR=16 dB the BER=10-3). As for residual Intelligibility Measurements, they are very close and there is little difference in the limits (0.01-0.1) for R, SSNR and CD test. The suggested model has been carried out by employing MATLAB by utilizing SIMULINK (R2018b). Execution of this program is studied, the outcomes are good.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"118 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":"124089716","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: 16

Intelligent Optimized Controlled Health Care System Using Brute Force and Heuristic Algorithms 智能优化控制卫生保健系统使用蛮力和启发式算法

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684216

Safanah M. Raafat, Diyar J. Naji

{"title":"Intelligent Optimized Controlled Health Care System Using Brute Force and Heuristic Algorithms","authors":"Safanah M. Raafat, Diyar J. Naji","doi":"10.1109/SCEE.2018.8684216","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684216","url":null,"abstract":"Recently, the health care system has gained increased attention due to the required increase in population in societies and the need for fast action urgent cases of health. New development of technologies, internet, and IoT make further progress in the establishment of a health care system to the extent that it considered as a measure of the progress in a country. The quality of the healthcare system depends on the comfort of patients during the treatment time and monitoring. In order to achieve these goals, scientists created a remote real-time monitoring system. In this research, the data taken from simulated healthcare sensors are used in an explicit functional model called Quality of inference (QoINF), which will be optimized within either by the intelligent Brute force or heuristic algorithms. The required task is to find the best set of sensors with high accuracy and the lowest cost. Moreover, based on the value of context, the deduced best set of sensors would be examined by Fuzzy Logic Controller (FLC) to make a proper decision for the nurse or doctor that supervise the patients or elderly people.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"31 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":"122353417","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

An Intelligent Cognitive System Design for Mobile Robot based on Optimization Algorithm 基于优化算法的移动机器人智能认知系统设计

2018 Third Scientific Conference of Electrical Engineering (SCEE) Pub Date : 2018-12-01 DOI: 10.1109/SCEE.2018.8684130

A. Al-Araji, K. Dagher, Bakir A. Ibraheem

{"title":"An Intelligent Cognitive System Design for Mobile Robot based on Optimization Algorithm","authors":"A. Al-Araji, K. Dagher, Bakir A. Ibraheem","doi":"10.1109/SCEE.2018.8684130","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684130","url":null,"abstract":"in this paper, a cognitive system based on a nonlinear neural controller and an intelligent algorithm is used to guide an autonomous mobile robot during continuous path-tracking. The controller will navigate over solid obstacles with avoidance. The goal of the proposed structure is to plan and track the reference path equation for the autonomous mobile robot in the mining environment in order to avoid the obstacles and reach to the target position by using intelligent optimization algorithms. Particle Swarm Optimization and Artificial Bee Colony algorithms are used for finding the solutions of the mobile robot navigation problems in the mine by searching the optimal paths. The algorithms are used for finding the reference path equation of the optimal path, as well as finding and tuning the neural control gains values online for the nonlinear neural controller. The goal is to obtain the best torques actions of the wheels for the mining autonomous mobile robot. Simulation results are done by using MATLAB which showed that the proposed cognitive system is more accurate in terms of planning a reference path to avoid obstacles, online finding, and tuning parameters of the controller which generates smooth control actions without saturation for tracking the reference path equation, as well as minimizing the mobile robot tracking pose error.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"33 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":"115932498","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