Pub Date : 2019-03-01DOI: 10.1109/PICECE.2019.8747179
A. El-Samak, M. Alhanjouri
The goal is to find the best feature extraction, which performs the smallest feature vector length and gives the highest performance. In this paper, we proposed a methodology to extract effective features from facial images using two multiresolution transforms; waveatom and shearlet, for estimating gender, ethnicity, facial expression and age. Three classifiers used to perform the final estimation, which are: Artificial Neural Network (ANN), Support vector machine (SVM) and Self-Organization Map (SOM). A comparative study is made to determine the best extractor and classifier. Experiments carried out on a large database collected from three different databases: US Adult Faces, Extended Cohn-Kanade and FG-NET database. The experimental results of the proposed methodology using waveatom transform proved to be effective in the three classifiers, In contrast of shearlet transform.
{"title":"Soft Biometrics Estimation Using Shearlet and Waveatom Transforms With Three Different Classifiers","authors":"A. El-Samak, M. Alhanjouri","doi":"10.1109/PICECE.2019.8747179","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747179","url":null,"abstract":"The goal is to find the best feature extraction, which performs the smallest feature vector length and gives the highest performance. In this paper, we proposed a methodology to extract effective features from facial images using two multiresolution transforms; waveatom and shearlet, for estimating gender, ethnicity, facial expression and age. Three classifiers used to perform the final estimation, which are: Artificial Neural Network (ANN), Support vector machine (SVM) and Self-Organization Map (SOM). A comparative study is made to determine the best extractor and classifier. Experiments carried out on a large database collected from three different databases: US Adult Faces, Extended Cohn-Kanade and FG-NET database. The experimental results of the proposed methodology using waveatom transform proved to be effective in the three classifiers, In contrast of shearlet transform.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123796020","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}
Pub Date : 2019-03-01DOI: 10.1109/PICECE.2019.8747180
Tareq Elhabbash, T. Skaik
This paper presents design of 5G multiple input multiple output (MIMO) antenna for 5th generation (5G) base stations. The proposed antenna is dual band and it operates at millimeter-wave (mm-wave) frequencies 28 GHz and 38 GHz. It is also dual-polarized and it can switch between vertical and horizontal polarizations. The sub-array is formed of four gap-coupled microstrip slotted dual-band patch antennas with corporate microstrip feed network. The sub-array exhibits realized gain greater than 12 dBi at 28 GHz and 38 GHz and 10-dB bandwidth of around 1 GHz at 28 GHz and 38 GHz. The antenna sub-arrays are arranged on the sides of an octagonal prism to synthesize multi-beam radiation patterns with twelve sub-arrays distributed on each side of the prism. The proposed antenna has the capability of steering the pattern to particular directions by switching between antenna sub-arrays placed on either side of the prism. The proposed antenna is a good candidate for 5G base stations as it achieves polarization and pattern diversity and fulfills 5G system requirements in terms of high gain, adequate bandwidth, MIMO configuration and fixed beam-switching capability.
{"title":"Design of Dual-band Dual-polarized MIMO Antenna for mm-wave 5G Base Stations with Octagonal Prism Structure","authors":"Tareq Elhabbash, T. Skaik","doi":"10.1109/PICECE.2019.8747180","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747180","url":null,"abstract":"This paper presents design of 5G multiple input multiple output (MIMO) antenna for 5th generation (5G) base stations. The proposed antenna is dual band and it operates at millimeter-wave (mm-wave) frequencies 28 GHz and 38 GHz. It is also dual-polarized and it can switch between vertical and horizontal polarizations. The sub-array is formed of four gap-coupled microstrip slotted dual-band patch antennas with corporate microstrip feed network. The sub-array exhibits realized gain greater than 12 dBi at 28 GHz and 38 GHz and 10-dB bandwidth of around 1 GHz at 28 GHz and 38 GHz. The antenna sub-arrays are arranged on the sides of an octagonal prism to synthesize multi-beam radiation patterns with twelve sub-arrays distributed on each side of the prism. The proposed antenna has the capability of steering the pattern to particular directions by switching between antenna sub-arrays placed on either side of the prism. The proposed antenna is a good candidate for 5G base stations as it achieves polarization and pattern diversity and fulfills 5G system requirements in terms of high gain, adequate bandwidth, MIMO configuration and fixed beam-switching capability.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126019879","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}
Pub Date : 2019-03-01DOI: 10.1109/PICECE.2019.8747193
Karim Timraz, T. Barhoom, T. Fatayer
the advantages of Cloud computing constitute the substantial motivation for user to store and access their data. The cloud storage capacity reduces the data owner’s overhead. In spite of several techniques were proposed for storing data on cloud, the data owner still suffers from a lack of confidentiality and time delay in storing their data on cloud. In this paper, a new scheme is proposed for storing data which achieved data confidentiality and time efficiency. A Middleware Management Control (MWM) is built which is an-intermediary layer between customer and cloud providers. Several text documents sizes are prepared for downloading and uploading process to measure time performance. MWM rotates each document rows to columns; then, it divides document into sub-files vertically. Finally, it encrypts each sub-file and stores it into different cloud storage. The divided sub files are mapping with cloud providers through location table. The proposed scheme is evaluated to measure confidentiality and time performance for the upload and downloads process. In spite of the proposed scheme uses extra operations (rotation, dividing and encryption) to enhance confidentiality, the experimental results show that significantly the same time performance has been achieved for uploading and downloading process compared with other works.
{"title":"A Confidentiality Scheme for Storing Encrypted Data through Cloud","authors":"Karim Timraz, T. Barhoom, T. Fatayer","doi":"10.1109/PICECE.2019.8747193","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747193","url":null,"abstract":"the advantages of Cloud computing constitute the substantial motivation for user to store and access their data. The cloud storage capacity reduces the data owner’s overhead. In spite of several techniques were proposed for storing data on cloud, the data owner still suffers from a lack of confidentiality and time delay in storing their data on cloud. In this paper, a new scheme is proposed for storing data which achieved data confidentiality and time efficiency. A Middleware Management Control (MWM) is built which is an-intermediary layer between customer and cloud providers. Several text documents sizes are prepared for downloading and uploading process to measure time performance. MWM rotates each document rows to columns; then, it divides document into sub-files vertically. Finally, it encrypts each sub-file and stores it into different cloud storage. The divided sub files are mapping with cloud providers through location table. The proposed scheme is evaluated to measure confidentiality and time performance for the upload and downloads process. In spite of the proposed scheme uses extra operations (rotation, dividing and encryption) to enhance confidentiality, the experimental results show that significantly the same time performance has been achieved for uploading and downloading process compared with other works.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126962146","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}
Pub Date : 2019-03-01DOI: 10.1109/PICECE.2019.8747199
A. E. Tümer, Serpil Edebali
In this study, an artificial neural network model was developed to estimate the removal efficiency of Cr (VI) ion from waste water by Lewatit MP64 and Dowex 1×8 resins. For this purpose, 36 experimental data obtained in a laboratory batch study. In the developed model, contact time, adsorbent dosage, pH and concentration were used as the input parameters, and removal efficiency for Lewatit MP64 and Dowex 1×8 were also used as output parameters. The model performances were determined by the mean square error and the coefficient of determination. The model using the Levenberg-Marquardt backpropagation algorithm (TrainLM) was found the best prediction. This model also has a hidden layer and 15 neurons (4-15-1). The coefficient of determination between experimental and estimates was found to be 0.99 removal efficiency for Lewatit MP64 and 0.92 for Dowex 1×8. The results show that removal efficiency can be predicted successfully with artificial neural networks.
{"title":"Artificial Neural Network Approach for Modeling of Cr (VI) Adsorption from Waste Water by Lewatit MP64 and Dowex 1×8","authors":"A. E. Tümer, Serpil Edebali","doi":"10.1109/PICECE.2019.8747199","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747199","url":null,"abstract":"In this study, an artificial neural network model was developed to estimate the removal efficiency of Cr (VI) ion from waste water by Lewatit MP64 and Dowex 1×8 resins. For this purpose, 36 experimental data obtained in a laboratory batch study. In the developed model, contact time, adsorbent dosage, pH and concentration were used as the input parameters, and removal efficiency for Lewatit MP64 and Dowex 1×8 were also used as output parameters. The model performances were determined by the mean square error and the coefficient of determination. The model using the Levenberg-Marquardt backpropagation algorithm (TrainLM) was found the best prediction. This model also has a hidden layer and 15 neurons (4-15-1). The coefficient of determination between experimental and estimates was found to be 0.99 removal efficiency for Lewatit MP64 and 0.92 for Dowex 1×8. The results show that removal efficiency can be predicted successfully with artificial neural networks.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"160 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132788871","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}
Pub Date : 2019-03-01DOI: 10.1109/PICECE.2019.8747184
Yousef E. M. Hamouda
Home Energy Management Systems (HEMS) has been considered to manage the energy usage at smart homes. In this paper, Optimal Home Energy Management (OHEM) algorithm is introduced to select the time slots, at which the electrical tasks are executed so that the electric power cost and the user comfort are improved. Random Bit Climbing (RBC) optimization method is employed to get an optimal or near-optimal solution that represents the time slots of the home tasks operation. Real-Time Pricing (RTP) is considered for electricity cost. Firstly, the electrical tasks are modeled to determine its main attributes. The objective function of the proposed algorithm is defined as a utility function that minimizes the user conform and the electricity cost. After that, the RBC method is performed to get the optimal or near-optimal solution that minimizes the objective function.Simulation results show that the proposed OHEM algorithm improve the electrical energy cost with reasonable user comfort. Additionally, the degree of improvement for electrical energy cost and user comfort can be adjusted and controlled using a weighting parameter.
家庭能源管理系统(HEMS)被认为可以管理智能家庭的能源使用。本文引入最优家庭能源管理(OHEM)算法来选择电力任务执行的时段，以提高电力成本和用户舒适度。采用随机位攀升(Random Bit climb, RBC)优化方法，得到代表home任务运行时隙的最优或近最优解。实时定价(RTP)是考虑电力成本。首先，对电任务进行建模，确定其主要属性;该算法的目标函数定义为用户一致性和电力成本最小化的效用函数。之后，执行RBC方法以获得使目标函数最小化的最优或近最优解。仿真结果表明，提出的OHEM算法在提高用户舒适度的同时提高了电能成本。此外，电能成本和用户舒适度的改善程度可以使用加权参数进行调整和控制。
{"title":"Optimal Home Energy Management for Smart Home using Random Bit Climbing","authors":"Yousef E. M. Hamouda","doi":"10.1109/PICECE.2019.8747184","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747184","url":null,"abstract":"Home Energy Management Systems (HEMS) has been considered to manage the energy usage at smart homes. In this paper, Optimal Home Energy Management (OHEM) algorithm is introduced to select the time slots, at which the electrical tasks are executed so that the electric power cost and the user comfort are improved. Random Bit Climbing (RBC) optimization method is employed to get an optimal or near-optimal solution that represents the time slots of the home tasks operation. Real-Time Pricing (RTP) is considered for electricity cost. Firstly, the electrical tasks are modeled to determine its main attributes. The objective function of the proposed algorithm is defined as a utility function that minimizes the user conform and the electricity cost. After that, the RBC method is performed to get the optimal or near-optimal solution that minimizes the objective function.Simulation results show that the proposed OHEM algorithm improve the electrical energy cost with reasonable user comfort. Additionally, the degree of improvement for electrical energy cost and user comfort can be adjusted and controlled using a weighting parameter.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133032338","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}
Pub Date : 2019-03-01DOI: 10.1109/PICECE.2019.8747186
W. Ashour, Riham Z. Muqat, Alaaeddin B. AlQazzaz, Saeb R. AbdElnabi
Basic Sequential Algorithm Scheme BSAS is a sequential algorithm for data clustering. It is suitable for unraveling compact dataset. The BSAS algorithm is sensitive to the order of data presentation; different clustering results could be produced if the input data are presented in a different order. Because the number of clusters in the results varies depending on the value of threshold, multiple run is one of the solutions to obtain optimal threshold.In this paper, BSAS is optimized using Ant Colony Optimization ACO Algorithm to solve the order sensitivity problem. The new proposed algorithm obtains the best order from ACO algorithm, which is based on the calculations of minimum distances between points, and passes the optimal order to BSAS algorithm as an input order. Finally, the proposed algorithm is compared and verified using the Sum Square Error SSE. The experimental results show that the proposed algorithm developed the BSAS algorithm.
{"title":"Improve Basic Sequential Algorithm Scheme using Ant Colony Algorithm","authors":"W. Ashour, Riham Z. Muqat, Alaaeddin B. AlQazzaz, Saeb R. AbdElnabi","doi":"10.1109/PICECE.2019.8747186","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747186","url":null,"abstract":"Basic Sequential Algorithm Scheme BSAS is a sequential algorithm for data clustering. It is suitable for unraveling compact dataset. The BSAS algorithm is sensitive to the order of data presentation; different clustering results could be produced if the input data are presented in a different order. Because the number of clusters in the results varies depending on the value of threshold, multiple run is one of the solutions to obtain optimal threshold.In this paper, BSAS is optimized using Ant Colony Optimization ACO Algorithm to solve the order sensitivity problem. The new proposed algorithm obtains the best order from ACO algorithm, which is based on the calculations of minimum distances between points, and passes the optimal order to BSAS algorithm as an input order. Finally, the proposed algorithm is compared and verified using the Sum Square Error SSE. The experimental results show that the proposed algorithm developed the BSAS algorithm.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129860557","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}
Pub Date : 2019-03-01DOI: 10.1109/PICECE.2019.8747226
R. A. Afif, C. Pfeifer, H. El-khozondar
Maker-based education as well as research is a novel way to build self-designed tools on reasonable costs to perform tests with new methods and technologies. The application of maker movement (e.g. 3D printing, microcomputers, etc.) is future oriented and sustainable especially for renewable energy engineering which has to compete with cheap fossil sources of fuel. An interdisciplinary approach is followed between experts from technical and socioeconomic disciplines as well as from teaching experts in order to get to a comprehensive view on structural development issues.Development of solar panel tracking system has been ongoing for several years. As the sun moves across the sky during the day, it is advantageous to have the solar panels track the location of the sun, such that the panels are always perpendicular with the position of the sun. Moreover, this method can be combined with tracking of the sun according sun position data. Although sun tracker systems are available commercially, they can be quite costly, depending on their tracking sophistication level. This contribution described a less costly alternative, which offers the advantage to be optimized by the operators. The functioning principle of how to use the maker movement approach for building up the auto-tracking photovoltaic model has been scientifically developed. This model enable students, researchers and operators to design and prototype a fully functional solar tracker system. Moreover, up-scaling procedures were developed.
{"title":"Implementation of maker movement to renewable energy laboratory: case study of auto-tracking photovoltaic model","authors":"R. A. Afif, C. Pfeifer, H. El-khozondar","doi":"10.1109/PICECE.2019.8747226","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747226","url":null,"abstract":"Maker-based education as well as research is a novel way to build self-designed tools on reasonable costs to perform tests with new methods and technologies. The application of maker movement (e.g. 3D printing, microcomputers, etc.) is future oriented and sustainable especially for renewable energy engineering which has to compete with cheap fossil sources of fuel. An interdisciplinary approach is followed between experts from technical and socioeconomic disciplines as well as from teaching experts in order to get to a comprehensive view on structural development issues.Development of solar panel tracking system has been ongoing for several years. As the sun moves across the sky during the day, it is advantageous to have the solar panels track the location of the sun, such that the panels are always perpendicular with the position of the sun. Moreover, this method can be combined with tracking of the sun according sun position data. Although sun tracker systems are available commercially, they can be quite costly, depending on their tracking sophistication level. This contribution described a less costly alternative, which offers the advantage to be optimized by the operators. The functioning principle of how to use the maker movement approach for building up the auto-tracking photovoltaic model has been scientifically developed. This model enable students, researchers and operators to design and prototype a fully functional solar tracker system. Moreover, up-scaling procedures were developed.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131708208","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}
Pub Date : 2019-03-01DOI: 10.1109/PICECE.2019.8747196
M. Ouda, Samir El-Nakla, Chedly B. Yahya, K. M. Omar Ouda
The Kingdom of Saudi Arabia (KSA) has experienced widespread development over the last four decades. This has resulted in tremendous increase in electricity demand. This research reviews the status of the KSA’s electricity consumption and forecasts electricity demand up to the year 2040 in the context of three scenarios. The study shows that KSA government mission to provide safe, reliable and sustainable electricity supply faces several challenges that may require creative and bold strategies to overcome.
{"title":"Electricity Demand Forecast in Saudi Arabia","authors":"M. Ouda, Samir El-Nakla, Chedly B. Yahya, K. M. Omar Ouda","doi":"10.1109/PICECE.2019.8747196","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747196","url":null,"abstract":"The Kingdom of Saudi Arabia (KSA) has experienced widespread development over the last four decades. This has resulted in tremendous increase in electricity demand. This research reviews the status of the KSA’s electricity consumption and forecasts electricity demand up to the year 2040 in the context of three scenarios. The study shows that KSA government mission to provide safe, reliable and sustainable electricity supply faces several challenges that may require creative and bold strategies to overcome.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127676535","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}
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