2021 International Conference of Technology, Science and Administration (ICTSA)最新文献_第3页

Edge-based Anomaly Data Detection Approach for Wireless Sensor Network-based Internet of Things 基于无线传感器网络的物联网异常数据边缘检测方法

2021 International Conference of Technology, Science and Administration (ICTSA) Pub Date : 2021-03-22 DOI: 10.1109/ICTSA52017.2021.9406548

Waleed M. Ismael, Mingsheng Gao, Ammar T. Zahary, Zaid Yemeni, Y. Ibrahim, Ammar Hawban

引用次数: 1

Precision Education Reviews: A Case Study on Predicting Student’s Performance using Feed Forward Neural Network 精确教育评论:前馈神经网络预测学生表现的案例研究

2021 International Conference of Technology, Science and Administration (ICTSA) Pub Date : 2021-03-22 DOI: 10.1109/ICTSA52017.2021.9406525

Mohammad Mubarrak Mohd Yusof, Ilyani Abd Khalid

引用次数: 3

A Simple Mask Detection Model Based On A Multi-Layer Perception Neural Network 基于多层感知神经网络的简单掩模检测模型

2021 International Conference of Technology, Science and Administration (ICTSA) Pub Date : 2021-03-22 DOI: 10.1109/ICTSA52017.2021.9406523

Nagmy A.A. Saleh, H. Ertunc, Radhwan A. A. Saleh, M. Rassam

{"title":"A Simple Mask Detection Model Based On A Multi-Layer Perception Neural Network","authors":"Nagmy A.A. Saleh, H. Ertunc, Radhwan A. A. Saleh, M. Rassam","doi":"10.1109/ICTSA52017.2021.9406523","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406523","url":null,"abstract":"A global health crisis is appeared due to the rapid transmission of the COVID-19 pandemic. According to the World Health Organization (WHO), one of the effective ways to decrease this transmission is wearing masks in crowded places. However, monitoring people by police is a weary and difficult process. Thanks to the improvement in technology and artificial intelligence that make task became easier. In this paper, a simple mask recognition model based on texture and color moments features is proposed. This model is deployed in two stages: first, texture and color moments features from the face image (31 features) are extracted using a hybridization between texture features and color moments features techniques. In order to extract the texture features, the image transformed into Gray Level Co-Occurrence Matrix (GLCM) then 22 statistical metrics were calculated. So as to extract the color moments features, the first, second and third moments have been calculated from each layer of the RGB image. Second, based on the extracted features, the images are classified using a Multi-Layer Perceptron model (MLP). The dataset used in this research consists of 1787 real images with masks and 1918 without masks. The obtained results showed that the accuracy achieved by the proposed model is 90.58% and the time complexity is 6.7379 seconds for training and 0.0023 seconds for prediction.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"464 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115868849","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

E-Band Slotted Microstrip Patch Antenna for 5G Mobile Backhaul Applications 5G移动回程应用的e波段开槽微带贴片天线

2021 International Conference of Technology, Science and Administration (ICTSA) Pub Date : 2021-03-22 DOI: 10.1109/ICTSA52017.2021.9406550

Amjad M. H. Aoun, A. A. Saeed, A. Gaid, Osama Y. A. Saeed, Mansour N. G. Mohammed, Burkan Hawash

{"title":"E-Band Slotted Microstrip Patch Antenna for 5G Mobile Backhaul Applications","authors":"Amjad M. H. Aoun, A. A. Saeed, A. Gaid, Osama Y. A. Saeed, Mansour N. G. Mohammed, Burkan Hawash","doi":"10.1109/ICTSA52017.2021.9406550","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406550","url":null,"abstract":"The need for high data rates, and high spectral efficiencies has grown with the tremendous advances in wireless applications, services and technologies. However, the design of miniature antennas with low cost, wider bandwidth and narrow radiation pattern is required in order to meet that increased demands as well as to support the new 5G mm-Wave spectrum. This paper proposes a single band rectangular microstrip patch antenna with square slots loaded on the radiating patch and line feeding structure. Rogers RT/Duroid 5880 substrate material with a dielectric constant of 2.2, loss tangent of 0.0009 and height of 0.55 mm is used. The proposed design operates at the mm-Wave (E-band) suitable for 5G mobile backhaul applications. The antenna operates in the band ranging from 64.20 GHz to 77.45 GHz with the center frequency at 73.7793 GHz. This operating frequency band covers the majority portion of the E-band. The impedance bandwidth of the operating band is 13.25 GHz (17.95 % from the center frequency) with a realized return loss of 39.9187 dB and a maximum gain of 6.0865 dB at the center frequency. Compared with other studies, the proposed antenna has a compact structure of $5.8 times 7.3 times 0.55$ mm3. An important feature of the proposed antenna is that it has a low production cost, since it is printed on a cheap Rogers RT/Duroid 5880 substrate material. Therefore, the proposed antenna has the potential to meet all the necessary requirements to be used for E-band mobile backhaul applications.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114181866","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

Convolutional Neural Networks Model for Screening Tuberculosis Disease 用于结核病筛查的卷积神经网络模型

2021 International Conference of Technology, Science and Administration (ICTSA) Pub Date : 2021-03-22 DOI: 10.1109/ICTSA52017.2021.9406520

Abdulfattah E. Ba Alawi, Amer Al-basser, A. Sallam, Amr Al-sabaeei, Hesham Al-khateeb

{"title":"Convolutional Neural Networks Model for Screening Tuberculosis Disease","authors":"Abdulfattah E. Ba Alawi, Amer Al-basser, A. Sallam, Amr Al-sabaeei, Hesham Al-khateeb","doi":"10.1109/ICTSA52017.2021.9406520","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406520","url":null,"abstract":"Tuberculosis disease has a big concern and it is spreading quickly across the world. The secret for managing the condition is an accurate diagnosis. Acid quick staining, conventional approaches such as tuberculin skin test (TST), yield findings are unreliable or require more time to detect. This paper presents an automated solution that uses chest radiographs to diagnose tuberculosis. Chest radiographic images are used for tuberculosis diagnosis. Tuberculosis in chest radiographs is difficult to investigate under the current system of cavity identification, ribs, and diaphragm removal. By using a CNN-based model, the lung area is separated to resolve the problems. The proposed technique can classify chest x-ray (CXR) images as Tuberculosis (TB) infected or not. We analyzed 3500 CXR cases and 3500 normal cases with exposure to tuberculosis. Then, we built and trained our own CNN and found that the features map or heat-map generated from this network performed a slightly better job. The implementation was done in Tensorflow and Keras library. An accuracy of 98.71%, a sensitivity of 98.86%, and a specificity of 98.57% were achieved.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121627783","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

Education Data Mining For Yemen Regions Based On Hierarchical Clustering Analysis 基于层次聚类分析的也门地区教育数据挖掘

2021 International Conference of Technology, Science and Administration (ICTSA) Pub Date : 2021-03-22 DOI: 10.1109/ICTSA52017.2021.9406544

F. Alqasemi, Salah Al-Hagree, Amal M. Aqlan, Khaled M. Alalayah, Zahraa Almotwakl, Mohammed Hadwan

引用次数: 1

Blockchain in Internet of Things: a Systematic Literature Review 物联网中的区块链:系统文献综述

2021 International Conference of Technology, Science and Administration (ICTSA) Pub Date : 2021-03-22 DOI: 10.1109/ICTSA52017.2021.9406545

A. Sallam, Fawzi Al Qahtani, Abdulgoddoos S. A. Gaid

{"title":"Blockchain in Internet of Things: a Systematic Literature Review","authors":"A. Sallam, Fawzi Al Qahtani, Abdulgoddoos S. A. Gaid","doi":"10.1109/ICTSA52017.2021.9406545","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406545","url":null,"abstract":"Internet of Things (IoT) devices are rapidly increasing in acceptance and proliferation such as smart home devices, wearable devices and industrial systems; all of those devices are connected simultaneously in centralized client/server model and requires to be authenticated through the server, for that the security issues become more challengeable. So, moving the IoT system into the decentralized path is the right solution to get rid of those security issues. One of the best common decentralization systems is a Blockchain (BC), which can address a lot of IoT issues, and as especially access control issues. In this paper, and through the processes of automated search and selection, this study obtains some studies publications in the field BC in IoT Recently published; and we conducted an extensive literature review to understand status of applying BC based solutions for IoT. In addition, we also highlighted issues pertaining to IoT, and displaying the studies contributions, and methodologies used to get rid of those issues pertaining to IoT by using BC features, this studies indicates through their Findings that the research in BC is becoming more prominent and requires more effort in developing new methodologies and framework to integrate BC.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116183841","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

Levenstein's Algorithm On English and Arabic: A Survey Levenstein关于英语和阿拉伯语的算法综述

2021 International Conference of Technology, Science and Administration (ICTSA) Pub Date : 2021-03-22 DOI: 10.1109/ICTSA52017.2021.9406547

Sarah Abdulmalek, Salah Al-Hagree, Muneer Alsurori, Mohammed Hadwan, Amal M. Aqlan, F. Alqasemi

{"title":"Levenstein's Algorithm On English and Arabic: A Survey","authors":"Sarah Abdulmalek, Salah Al-Hagree, Muneer Alsurori, Mohammed Hadwan, Amal M. Aqlan, F. Alqasemi","doi":"10.1109/ICTSA52017.2021.9406547","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406547","url":null,"abstract":"Survey research is one of the important types of scientific research needed to address the advancement in specific research areas. In this paper, we aim to provide a critical review of name-matching algorithms related to Levenstein's algorithm used in Arabic and English languages. We have collected and reviewed 50 papers related to Levenstein's algorithm. Name matching algorithms are becoming increasingly important in areas such as text classification, proofreading, automatic correction, plagiarism detection, extracting and aggregating specific information from huge data. In addition to the retrieval and tracking topics as well as answering questions, recognizing handwriting, evaluating articles, and summarizing. Among the new application in the area of artificial intelligence is the conversation systems, which are programs that communicate directly with humans using different natural languages. The most important part of name-matching algorithms is finding similarities between words or terms. The application of natural language processing tasks in Arabic and English represents a very difficult process as they contain many characteristics. Nevertheless, several name-matching algorithms have been introduced in Arabic and English texts, the attention of this research is focused on reviewing the research studies related to Levenstein's algorithm besides listing down developed applications in different areas.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116337313","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

Design and simulation robotic arm with computer vision for inspection process 基于计算机视觉的机械臂检测过程设计与仿真

2021 International Conference of Technology, Science and Administration (ICTSA) Pub Date : 2021-03-22 DOI: 10.1109/ICTSA52017.2021.9406541

Ghazi Alnowaini, Azmi Alttal, A. Alhaj

{"title":"Design and simulation robotic arm with computer vision for inspection process","authors":"Ghazi Alnowaini, Azmi Alttal, A. Alhaj","doi":"10.1109/ICTSA52017.2021.9406541","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406541","url":null,"abstract":"Different companies compete for control of the size of the commercial markets and to offer quality products. Companies are keen to examine the products and ensure that they are free of any defects or distortions before distributing them in markets in order to preserve the confidence of customers, but manual inspection is expensive and takes a lot of time. Investors tended to use modern technologies to implement the examination process. In this paper, an approach based on the association of robots with a computer vision system is proposed. A robot arm with 4 degrees of freedom is designed by SOLIDWORKS software that takes the cans into the conveyor belt then passes it to the examination room so that an image of the product is taken via camera attached to the computer and the image is processed by the LABVIEW program. The model was simulated using MATLAB, and Arduino microcontroller has been used for controlling the processes perform by the prototype. When a defective product passes a conveyor belt, the system changes the path to remove the product from the production line. The simulation and experimental results proved that the prototype is capable of grasping cans, then detecting the cans finally, taking the defective ones out of the production line. By using this technology in the product sorting process, the productivity will be increased and the quality will be enhanced in a short time. An accuracy of 96% has been accomplished by the proposed system, where of 50 samples only two samples haven’t detected.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131079546","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

OCHSMO: Selection Optimal of Cluster Head Based Spider Monkey Optimization OCHSMO:基于簇头的蜘蛛猴优化选择优化

2021 International Conference of Technology, Science and Administration (ICTSA) Pub Date : 2021-03-22 DOI: 10.1109/ICTSA52017.2021.9406526

Abdullah Hamood Al-Quh, Khalid Al-Hussaini, F. Abdulrazzak

{"title":"OCHSMO: Selection Optimal of Cluster Head Based Spider Monkey Optimization","authors":"Abdullah Hamood Al-Quh, Khalid Al-Hussaini, F. Abdulrazzak","doi":"10.1109/ICTSA52017.2021.9406526","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406526","url":null,"abstract":"the cluster heads (CHs) are distributed randomly in the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. Some sensor nodes may be placed further away from the CHs and thus are not covered. This causes excessive route energy consumption of the isolated nodes. Because of randomly selecting the CHs, some nodes can die quickly due to extra workload. By used Spider Monkey Optimization (SMO), we can elect the CHs and design cluster-based routing algorithms. The SMO looks for the social behaviors of spider monkeys to choose the optimal route. The social behaviors are an example of the fission-fusion system. In this paper, we proposed the Selection Optimal of Cluster Head Based Spider Monkey Optimization (OCHSMO) algorithm. The proposed algorithm has used the mechanism of the SMO to solve the problems of cluster routing in the WSNs. It improves the LEACH protocol in terms of energy consumption, system lifetime, stability period, and system quality of the network. Experimental results show that the OCHSMO algorithm is better than the LEACH algorithm in all performance measures. We used the MATLAB to evaluate the performance.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"889 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131420882","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