Ghufran M. Hatem, J. A. Abdul Sadah, Thamir R. Saeed
{"title":"Optimal Feature Selection for Radar Signal Classification with Different Targets Situation","authors":"Ghufran M. Hatem, J. A. Abdul Sadah, Thamir R. Saeed","doi":"10.1109/SCEE.2018.8684073","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684073","url":null,"abstract":"The detection of the target depends on the accuracy of the classification of the radar return signals. This classification accuracy is based on the features which extracted from that signal. This paper presents an optimal algorithm for select optimal features. Three cases were studied of the situation of targets in receiving signal; single, multi-, and close multi-targets. The types and number of features represent the base of the algorithm, while the processing time and the classification rate represent the criteria for features selection. Hybrid methods, which combine the optimum characteristics of wrappers and filter methods are used for making the compromise between the number of features and best candidate subset. Multilayer perceptron back propagation neural network has been used as a classifier, while the classification is 98% for single target with two third processing time of multi-targets for the same classification rate, and nearly half processing time for the close-multi target.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"44 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":"128644453","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}
{"title":"FPGA Implementation of Single Neuron PID Controller for Depth of Anesthesia Based on PSO","authors":"Layla H. Abood, Ekhlas H. Karam, Abbas H. Issa","doi":"10.1109/SCEE.2018.8684186","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684186","url":null,"abstract":"Anesthesia is considered as one of the most important part of any surgical operation due to this it must be good monitored and controlled, i.e. the rate of infusion must be given an inappropriate dose to save the patient status in an adequate level of anesthesia. The model translates the relation between the drug used and patient response is pharmacokinetic pharmacodynamic (PK/PD). Bispectral index (BIS) is the most standard for maintaining the Anesthesia level. In this paper an optimal PID controller with neural network consists of one neuron is presented to evaluate the drug infusion rate, the system input will be the propofol drug rate, and the level of hypnosis will be the system output since it is measured during surgery from the monitor of the BIS device. optimal controller will calculate the infusion rate by using particle swarm optimization (PSO) method for tuning all the variables needed to find the optimal rate and considered it as a control signal. Then all the result is obtained by Matlab software and the hardware implantation is done using the Integrated Synthesis Environment from Xilinx ISE version 14.6 and downloaded on Spartan 3 Kit (XC3SD3400ACS484-4 by). The output results obtained from the controller in measuring the value of the infusion rate and tracking the BIS value for different patients show its efficiency and robustness in measuring the Depth of Anesthesia (DOA) correctly.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","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":"129023826","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}
{"title":"Prospect Theory in Particle Swarm Optimization for Constraints Nonlinear Optimization Problems","authors":"A. Abdulkareem, H. A. Dhahad, N. Q. Yousif","doi":"10.1109/SCEE.2018.8684144","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684144","url":null,"abstract":"A swarm of individuals or particles work together to achieve a collective goal are called particle swarm optimization (PSO). However, when PSO applied to Constraints nonlinear optimization problems (CNOPs), this technique requires an efficient mechanism to handle the constraints, since it still suffers from the premature convergence problem (local minimum solution), and its inability to find a refinement solution, due to lack of exploitation and exploration capability. So that to deal with the above issues, a novel model of decision-making process has been used in PSO to solve the CNOP. This decision model improves the exploration hence, reduce the risk of premature convergence, by firstly, expanding the search space through generating new alternative solutions and secondly, factoring the risk of violating system constraints during the evolutionary process; while the exploitation has been improved through taking an effective choice (less risky solution) among the generated alternative solutions. The validation of the proposed approach has been performed on several benchmarks CNOPs. The statistical results demonstrate that the new algorithm considerably better than or at least competitive to several evolutionary algorithms reported in the literature.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"4 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":"128861274","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}
{"title":"Damping Improvement by Using Optimal Coordinated Design Based on PSS and TCSC Device","authors":"A. Hussain, Shaymaa Hamdan Shri","doi":"10.1109/SCEE.2018.8684209","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684209","url":null,"abstract":"The paper presents new design procedures for simultaneouslycoordinated designs of the Power System Stabilizer (PSS) and a Thyristor Controlled Series Capacitor that provided with Power Oscillation DampingController (TCSC-POD) in a Single Machine Infinite Bus (SMIB) power system. The coordinated designs problem between PSS and TCSC-POD controller implement with different loading conditions were converted to an optimization problem with the time domain-based objective function, which is solved by a Dolphin Echolocation Optimization (DEO) technique that has a strong ability to find an optimal result. The DEO has a few parameters easy to be set and leads to excellent results with low computational efforts. The results of this study show that proposed coordinated controller has reduced system response in terms of overshoot, settling time and confirmed the excellent capability of a proposed method in getting the satisfactory damping performance and enhance greatly the dynamic stability of power system. Moreover, the results revealed that the coordinated designed stabilizer demonstrates its superiority over their individual controllers PSS and TCSC–POD for improving damping characteristics of a SMIB power system at different loading conditions.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"50 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":"114314158","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}
{"title":"Maximum Power Point Tracking Photovoltaic Fed Pumping System Based on PI Controller","authors":"Ahmed Mohammed Abdul Hussain, H. Habbi","doi":"10.1109/SCEE.2018.8684120","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684120","url":null,"abstract":"This paper presents a PI controller for DC voltage of a voltage source inverter that drives a BLDC motor based on a solar photovoltaic (SPV). Practically, this system is applied to a water pumping system. To consider the variation of the climate conditions, a maximum power point tracking MPPT technique used with PV solar systems to maximize power extraction. Moreover, the improvement of the solar panel efficiency is investigated by using perturb and observe maximum power point tracking (PO-MPPT) technique. A PI controller is used to improve the performance of dynamic BLDC responses. The operation of this technique is utilized to generate the duty ratio of MPP and tracks the solar PV panel. The PI controller is used to validate the speed of a BLDC motor by regulating the VSI input voltage. The model of the proposed system is developed in the Matlab / Simulink. The simulation results are demonstrated a suitable performance in various dynamic operating conditions.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","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":"114872709","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}
{"title":"Mixed H2/Sliding Mode Controller Design for Human Swing Leg System","authors":"H. Ali, M. J. Kadhim","doi":"10.1109/SCEE.2018.8684215","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684215","url":null,"abstract":"Humans walking seems simple, but this process is naturally complicated with extremely nonlinear dynamics as a pendulum links represent the thigh and the shank of the human. The upper body will attach to the thigh by hip, the knee will attach thigh to the shank. To acquire a complete motion of all muscles, it is required to accomplish two control actions applied at the joints. Two control approaches which are sliding mode control and H2 control are combined in this work to control the human swing leg system. The proposed mixed H2 Sliding Mode Controller (H2/SMC) is a new control algorithm conducted to give better performance than if only one of them is used. The results show that the proposed controller can effectively achieve more desirable performance and robustness.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"153 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":"122425812","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}
{"title":"A New 2D Hénon-Logistic Map for Producing Hyperchaotic Behavior","authors":"Wafaa A. Hussein, N. Al-Saidi, Hayder Natiq","doi":"10.1109/SCEE.2018.8684083","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684083","url":null,"abstract":"Derived from the two-dimensional (2D) Hénon map and the one-dimensional (1D) Logistic map, this paper proposes a new 2D hyperchaotic map, called the 2D Hénon-Logistic map (2D-HLM). The dynamics of the 2D-HLM are investigated by means of equilibria, stability analysis, trajectory, Lyapunov exponent, and bifurcation diagram. Mathematical analysis reveals that the 2D-HLM has four unstable equilibria. Besides that, it has wide chaotic and hyperchaotic behaviors with very limited periodic windows. To evaluate the complexity performance of the 2D-HLM, Approximate entropy is used to analyze its time series. Consequently, the 2D-HLM exhibits extremely complex nonlinear behavior. With all of these attributes, the 2D-HLM would be very appropriate to produce a pseudo-random number generator that can be used in chaos-based cryptographic applications.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"48 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":"128936882","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}
{"title":"Zigzag Edges Toothed Log Periodic Terahertz Antenna Design Based on Graphene Hilbert Curve AMC","authors":"Refat T. Hussein, H. A. Abdulnabi","doi":"10.1109/SCEE.2018.8684111","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684111","url":null,"abstract":"In this work, a novel zigzag edge toothed log-periodic antenna (ZETLPA) placed over Hilbert curve Graphene AMC is proposed for frequency band (0.1 –10) terahertz. The bandwidth and operating frequency bands of the antenna have changed by varying the applied DC voltage source. This leads to change the chemical potential of the Graphene and hence changing its surface conductivity. The antenna radiating element of the ZETLPA is made from gold patch placed on Hilbert curve shape Graphene AMC. An Exponential taper is employed for the matching process over the antenna bandwidth. The antenna simulated by CST 2016 package (Computer Simulation Technology). The results show that 100 % of the bandwidth obtained (S11 < −10 dB) when the chemical potential of the Graphene equal to 1eV. A zigzag edges TLP is used to increase the antenna arms lengths and reduce the return losses to a minimum level as possible over the required frequency band.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"6 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":"129129853","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}
{"title":"A Compact Ultra-thin Flexible Solar Panel based Metamaterials Characterizations for Self-Powered Wireless Systems","authors":"Yasir Al-Adhami, E. Erçelebi","doi":"10.1109/SCEE.2018.8684161","DOIUrl":"https://doi.org/10.1109/SCEE.2018.8684161","url":null,"abstract":"In this paper, an experimental study is performed to realize the electromagnetic properties permittivity (ε<inf>r</inf>) and permeability (µ<inf>r</inf>), of a solar panel substrate with SRR inclusions.The proposed study is conducted for the modern wireless communication applications. The solar panel structure is based on a flexible layer of PTFE. The SRR structure is constructed from two concentric rings of three periodical unit cells in their lattice. The substrate layer, based solar panel, properties are measured using a modified Nicholson-Ross-Weir formulations (NRW) to retrieve ε<inf>r</inf>=ε<inf>r</inf>'+jε<inf>r</inf>\" and µ<inf>r</inf>=µ<inf>r</inf>'+jµ<inf>r</inf>\" from the measured S-parameters. The Finite Integral Technique (FIT) simulations based on CST MWS software package formulations is invoked to evaluate the S-parameters based on the retrieved ε<inf>r</inf>, µ<inf>r</inf> and compare them to their relative measurements. Next, a PTFE sample is used to validate the proposed technique. It is found that the properties of the PTFE sample are quite relative to those published in the literature where ε<inf>r</inf>=2.07+j0.001 and µ<inf>r</inf>=0.999+j0.0001. Finally, an excellent matching is realized between the measured and simulated results.","PeriodicalId":357053,"journal":{"name":"2018 Third Scientific Conference of Electrical Engineering (SCEE)","volume":"25 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":"122143779","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}