2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)最新文献_第2页

A new algorithm for short term prediction of persistent atrial fibrillation 一种新的持续性房颤短期预测算法

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257740

Hisham Elmoaqet, Zakaria Almuwaqat, Mutaz Ryalat, N. Almtireen

引用次数: 2

UWB antenna based on ground modifications 基于地面改装的超宽带天线

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257744

N. Awad, M. K. Abdelazeez, Ahmad Al. Sharif

引用次数: 1

The melanoma skin cancer detection and classification using support vector machine 基于支持向量机的黑色素瘤皮肤癌检测与分类

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257738

Hiam Alquran, I. Qasmieh, Ali Mohammad Alqudah, Sajidah Alhammouri, Esra'a Alawneh, A. Abughazaleh, Firas Hasayen

{"title":"The melanoma skin cancer detection and classification using support vector machine","authors":"Hiam Alquran, I. Qasmieh, Ali Mohammad Alqudah, Sajidah Alhammouri, Esra'a Alawneh, A. Abughazaleh, Firas Hasayen","doi":"10.1109/AEECT.2017.8257738","DOIUrl":"https://doi.org/10.1109/AEECT.2017.8257738","url":null,"abstract":"Melanoma skin cancer detection at an early stage is crucial for an efficient treatment. Recently, it is well known that, the most dangerous form of skin cancer among the other types of skin cancer is melanoma because it's much more likely to spread to other parts of the body if not diagnosed and treated early. The non-invasive medical computer vision or medical image processing plays increasingly significant role in clinical diagnosis of different diseases. Such techniques provide an automatic image analysis tool for an accurate and fast evaluation of the lesion. The steps involved in this study are collecting dermoscopy image database, preprocessing, segmentation using thresholding, statistical feature extraction using Gray Level Co-occurrence Matrix (GLCM), Asymmetry, Border, Color, Diameter, (ABCD) etc., feature selection using Principal component analysis (PCA), calculating total Dermoscopy Score and then classification using Support Vector Machine (SVM). The results show that the achieved classification accuracy is 92.1%.","PeriodicalId":286127,"journal":{"name":"2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125493184","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: 112

System identification for a liquid flow process 液体流动过程的系统识别

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257756

W. Araydah, T. Tutunji, I. Al-Naimi

引用次数: 8

The potential of the rooftop grid-connected PV systems in Benghazi 班加西屋顶并网光伏系统的潜力

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257778

Hana Shamatah, Salima Azouz, A. Khalil, Zakariya Rajab

引用次数: 6

Control of master-slave microgrid based on CAN bus 基于CAN总线的主从微电网控制

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257775

Asma Alfergani, A. Khalil, Zakariya Rajab, Mohammad Zuheir, A. Asheibi, Sheroz Khan, E. Aboadla, Khairil Azhar Bin Azna, Majdee Tohtayong

引用次数: 8

Estimating the elevator traffic system arrival rate using exponentially weighted moving average(EWMA) 利用指数加权移动平均估计电梯交通系统到达率

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257757

Ahmad Hammoudeh, L. Al-Sharif

引用次数: 3

Improving email spam detection using content based feature engineering approach 使用基于内容的特征工程方法改进垃圾邮件检测

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257764

Wadi' Hijawi, Hossam Faris, Ja'far Alqatawna, Ala’ M. Al-Zoubi, Ibrahim Aljarah

引用次数: 27

Optimal cost-based model for sizing grid-connected PV and battery energy system 基于成本的光伏-电池并网能源系统优化模型

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257779

Yara Khawaja, D. Giaouris, H. Patsios, M. Dahidah

{"title":"Optimal cost-based model for sizing grid-connected PV and battery energy system","authors":"Yara Khawaja, D. Giaouris, H. Patsios, M. Dahidah","doi":"10.1109/AEECT.2017.8257779","DOIUrl":"https://doi.org/10.1109/AEECT.2017.8257779","url":null,"abstract":"Photovoltaic-battery energy systems (PV-BESs) have recently emerged as a promising alternative energy solution for electricity consumers. Due to the high level of unpredictability and intermittency associated with solar energy, the optimal sizing and intermittency mitigation of PV-BESs is necessary while integrating them into the grid. This paper presents a technical and economical model for the optimal sizing of a grid-connected PV-BES system for different battery technologies. An iterative analytical approach is utilized to determine the battery capacity, generate multiple combinations of PV-BES over a defined range of PV rated power, and apply a proper energy management strategy to control the energy flow through the system. This is followed by an economic model to calculate the system levelized cost of energy (LCOE) for all possible PV-BES sizes. The optimal PV size and best BES coupled with the PV system is chosen depending on the minimum LCOE. In this context, an improved formula of LCOE is proposed which includes new parameters reflecting the impact of surplus PV output and the energy purchased from the grid. Additionally, the proposed model uses the levelized cost of delivery (LCOD) for BES and compares it with system LCOE. Data over one year of hourly solar irradiation, temperature and load demand are used for system sizing. The results show that the minimum system LCOE is observed when the PV rated power is 710 KW, and the most suitable BES in conjunction with the PV system is redox flow battery with 1 MWh capacity. A cost reduction of 18% obtained compared to the grid electricity price. Moreover, the proposed model allows 75% of self-consumed energy by the PV-BES compared to 48% when using the PV system alone.","PeriodicalId":286127,"journal":{"name":"2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123741621","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: 20

Empirical path loss models for low power wireless sensor nodes deployed on the ground in different terrains 不同地形下部署在地面的低功率无线传感器节点的经验路径损耗模型

2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2017-10-01 DOI: 10.1109/AEECT.2017.8257747

T. Olasupo, Abdulaziz S. Alsayyari, C. Otero, Kehinde O. Olasupo, I. Kostanic

{"title":"Empirical path loss models for low power wireless sensor nodes deployed on the ground in different terrains","authors":"T. Olasupo, Abdulaziz S. Alsayyari, C. Otero, Kehinde O. Olasupo, I. Kostanic","doi":"10.1109/AEECT.2017.8257747","DOIUrl":"https://doi.org/10.1109/AEECT.2017.8257747","url":null,"abstract":"Sensor nodes deployed In some applications to obtain Information drop to the ground. For these sensor nodes that are on the ground to adequately relay the gathered information to processing center will require accurate propagation model. A comprehensive search of the literature reveals the need for accurate propagation models to support reliable deployments of wireless sensor networks (WSN) in such deployment conditions. This information is essential to support the deployment of large-scale networks as part of the vision of Internet of Things (IoT) systems and mission-critical services. This research provides empirical path loss models for low power wireless sensors deployed on the ground in eight different terrains. The study compares the proposed models with theoretical models to demonstrate their inadequacy in predicting path loss between sensor nodes deployed in these environments. Results show that theoretical models deviate from proposed models by 15 to 49 %. Finally, results also show that models established at low packet error rate and high signal-to-noise ratio are more reliable than those formed without considering these parameters. The provided models, as well as the measured data, can be used for proficient design and deployment of large-scale networks that enable IoT in various similar environments.","PeriodicalId":286127,"journal":{"name":"2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116569406","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: 12