2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)最新文献_第2页

Development of energy through wind simulation and design: a case study of Hebron Wind Farm in Palestine 通过风力模拟和设计开发能源:巴勒斯坦希伯伦风力发电场的案例研究

2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE) Pub Date : 2019-03-01 DOI: 10.1109/PICECE.2019.8747208

A. Masri, Muhannad Al-Jabi

{"title":"Development of energy through wind simulation and design: a case study of Hebron Wind Farm in Palestine","authors":"A. Masri, Muhannad Al-Jabi","doi":"10.1109/PICECE.2019.8747208","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747208","url":null,"abstract":"Due to the increasing demand for energy in our everyday life, there is an increasing interest in the clean and renewable energy resources. this increasing interest motivates investors and stakeholders to increase the investment in this sector due to its long term cost effectiveness and due to its negligible pollution on the climate. Moreover, due to the growth of population and lack of enough resources specially in the outlying areas, engaging multiple energy resources will play a vital role in the urbanization sustainability and population distribution. Such that, on site energy generation will encourage people and facilities to leave the crowded large cities to other areas which in turn will increase the geographical space utilization. Therefore, solar and wind energy are considered the most useful sources of clean and renewable energy. In addition, simulation and parameters study for such systems has a great importance in the design and implementation processes. In this paper we will present a novel methodology that deeply analyze and simulate the design for windfarm to serve an important region in Palestine. And the results show the effectiveness of our system from both the technical side and from the financial side as well.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"8 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":"115344249","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

PICECE 2019 Reviewers

2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE) Pub Date : 2019-03-01 DOI: 10.1109/picece.2019.8747200

引用次数: 0

A Switched-Mode 3-Stage Battery Charger 开关模式3级电池充电器

2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE) Pub Date : 2019-03-01 DOI: 10.1109/PICECE.2019.8747181

Mohamed Abdelati

引用次数: 0

Design of Solar Cell Structure Based on Au Nanoparticles 基于金纳米粒子的太阳能电池结构设计

2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE) Pub Date : 2019-03-01 DOI: 10.1109/PICECE.2019.8747177

M. Shabat, D. El-Amassi, Kh. Abushaar, D. Schaadt

引用次数: 1

Graph-based Density Peaks Ranking Approach for Extracting KeyPhrases (GDREK) 基于图的关键词提取密度峰排序方法(GDREK)

2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE) Pub Date : 2019-03-01 DOI: 10.1109/PICECE.2019.8747175

Mahmoud R. Alfarra, Abdalfattah M. Alfarra, Ahmed Salahedden

{"title":"Graph-based Density Peaks Ranking Approach for Extracting KeyPhrases (GDREK)","authors":"Mahmoud R. Alfarra, Abdalfattah M. Alfarra, Ahmed Salahedden","doi":"10.1109/PICECE.2019.8747175","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747175","url":null,"abstract":"Surprisingly, there are more than 1,500,000 articles found by google scholar search engine on keyphrase extraction (KE) have been published recently, 21,000 of them only in current year. This large number implies that researchers need to find more accurate and better performing models for KE from text as a subtask of text mining and summarization. This paper presents a novel design of KE. The model is composed of Graph-based Representation, sentence clustering and ranking based on Density peaks for KE in single or multi-documents (GDREK) which can be used further in text extractive summarization. The principle of GDREK is using graph model to represent text and then group and rank the sentences in a mutuality manner. In this model, sentence grouping and ranking proceeds by discovering the main topics of text and finding central sentences of each topic incrementally. In this incremental step, as the sentences are grouped based on the Graph-based Growing Self-Organizing Map (G-GSOM), they are ranked using Density Peaks (DP) concept according to a measure of similarity between sentences. Our similarity measure is based on shared phrases and Cosine function. Sentences are scored under the assumption that when a sentence has more similar sentences, it is considered more important (higher density) and more representative. Finally, the most frequent words or phrases in the sentences are selected as key phrases of the text. Experimental results show that our innovative technique extracts the most key phrases and words of two datasets and yields over 75% accuracy and from most sub-topics of text.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"66 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":"115254311","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

A Proposed Template Image Matching Algorithm for Face Recognition 一种用于人脸识别的模板图像匹配算法

2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE) Pub Date : 2019-03-01 DOI: 10.1109/PICECE.2019.8747239

Maher A. El-Hallaq

{"title":"A Proposed Template Image Matching Algorithm for Face Recognition","authors":"Maher A. El-Hallaq","doi":"10.1109/PICECE.2019.8747239","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747239","url":null,"abstract":"Automatic matching of people faces is a demanding issue which has recently received increased attention during the recent ages due to its various uses in different applications such as law implementation, security requirements and video indexing. Face images are exposed to a variety of important influences such as illumination variation, difference in looking view, facial expression, occlusion, age difference between compared face images and some individual changes in field settings. Most current face matching algorithms can be classified into two categories; either geometry feature based, or template image based. In this research, a suggested algorithm is developed based on normalized cross correlation algorithm in order to find the similarity measure between verified face images. Normalized correlation is considered one of the methods based on template matching that can be used for finding a presence of a pattern or a feature within an image. A Graphical User Interface (GUI) is prepared to perform all face matching tasks and is used to test face verification. This GUI has been examined by conducting many case studies. The concluded results indicate that the developed algorithm is so robust in face matching and shows good performance","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"8 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":"122052891","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: 5

On Using Quadrature Spatial Modulation in Multi-User Networks 正交空间调制在多用户网络中的应用

2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE) Pub Date : 2019-03-01 DOI: 10.1109/PICECE.2019.8747195

M. El Astal, A. H. Al Habbash, A. Abu-Hudrouss

引用次数: 0

A survey of Static Android Malware Detection Techniques 静态Android恶意软件检测技术综述

2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE) Pub Date : 2019-03-01 DOI: 10.1109/PICECE.2019.8747224

Aiman Ahmed Abu Samra, Hasan Qunoo, Fatma Al-Rubaie, Haneen El-Talli

引用次数: 15

The Hybrid EPILE + PO Combined with the Adaptive Cross Approximation to Study the Electromagnetic Scattering from two 3D Scatterers 混合EPILE + PO结合自适应交叉逼近研究两个三维散射体的电磁散射

2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE) Pub Date : 2019-03-01 DOI: 10.1109/PICECE.2019.8747205

M. Kouali, Noor Obead

{"title":"The Hybrid EPILE + PO Combined with the Adaptive Cross Approximation to Study the Electromagnetic Scattering from two 3D Scatterers","authors":"M. Kouali, Noor Obead","doi":"10.1109/PICECE.2019.8747205","DOIUrl":"https://doi.org/10.1109/PICECE.2019.8747205","url":null,"abstract":"Calculating the RCS (Radar Cross Section) of two 3D scatterers (target above a rough surface) needs to numerically solve a set of integral equations involving a large number of unknowns. Such large applications in remote sensing cannot be solved easily with a conventional Method of Moments (MoM) by using a direct LU inversion. Thus, hybridization between the E-PILE (Extended Propagation-Inside-Layer Expansion) and the Physical Optics approximation (PO) reduces significantly the memory requirements and CPU time. The resulting method called E-PILE + PO. In this work, we take advantage of the rank-deficient nature of the coupling matrices, corresponding to scatterer 1 and scatterer 2 interactions, to further reduce the complexity of the method by using the ACA (Adaptive Cross Approximation). The ACA algorithm permits to strongly compress the coupling matrices without a loss of accuracy and the memory requirement is then strongly reduced. The proposed method is then applied for a scenario of a square plate located above sea-like two-dimensional rough surface.","PeriodicalId":375980,"journal":{"name":"2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE)","volume":"11 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":"132806135","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

DCM+: a multi-purpose protocol for congestion control DCM+:用于拥塞控制的多用途协议

2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE) Pub Date : 2019-03-01 DOI: 10.1109/PICECE.2019.8747237

Rushdi A. Hamamreh, Derar Khader

引用次数: 3