2020 21st International Arab Conference on Information Technology (ACIT)最新文献_第7页

A Distributed Fault Tolerance Mechanism for an IoT Healthcare system 物联网医疗系统的分布式容错机制

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI: 10.1109/ACIT50332.2020.9300103

M. Zaiter, S. Hacini

引用次数: 1

Optimization of Migration Cost for Network Function Virtualization Replacement 网络功能虚拟化置换迁移成本优化

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI: 10.1109/ACIT50332.2020.9300112

Fadia Shoura, Ammar Gharaibeh, S. Alouneh

{"title":"Optimization of Migration Cost for Network Function Virtualization Replacement","authors":"Fadia Shoura, Ammar Gharaibeh, S. Alouneh","doi":"10.1109/ACIT50332.2020.9300112","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300112","url":null,"abstract":"Today's networks are concerned about making the control of communication flexible and improving the existing management systems in such a manner that reduces the Capital expenditures (CAPEX) and operating expenses (OPEX), through reducing equipment costs and energy efficiency. Along with the benefits of decreasing the time to promote new services to the clients, service providers' attention has gradually moved to Network Function Virtualization (NFV), which is a potential technology decoupling network functionalities from hardware and is a promise of high performance service provision with optimizing resource utilization across various infrastructures. However, to simultaneously achieve these goals, sometimes it is necessary to instantiate a new function depending on the traffic pattern of high-bandwidth characteristics and Quality of Service (QoS) measures. Due to the limited resources at the node, other functions in the node may need to be migrated to other nodes in order to provide resources for the new functions. Existing works related to the Virtual Network Function (VNF) deployment and migration usually focus on proposing new deployment strategies and migration mechanisms. However, reducing migration cost restricted to memory, CPU, and bandwidth capacities is not considered in those studies. In this work, the problem of virtual network functions migration is formulated as an Integer Linear Program (ILP) with the objective of minimizing the migration cost while satisfying computing and network resource capacities constraints and selecting the minimum cost path from the source to the destination node. Since the ILP is NP-complete, we propose a greedy minimum migration cost (GMMC) algorithm. Simulation results show that the proposed GMMC algorithm can reduce the total migration cost by up to 61% and the number of migrations by up to 52% when compared to the state-of-the-art schemes.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129274016","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

Mining Patients' Reviews in Online Health Communities for Adverse Drug Reaction Detection of Antiepileptic Drugs

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI: 10.1109/ACIT50332.2020.9299964

A. Yahya, Y. Asiri, Ibrahim Alyami

引用次数: 1

Electronic stethoscope for detecting heart abnormalities in athletes 用于检测运动员心脏异常的电子听诊器

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI: 10.1109/ACIT50332.2020.9300109

B. Omarov, Aidar Batyrbekov, A. Suliman, Bakhytzhan Omarov, Yerlan Sabdenbekov, S. Aknazarov

{"title":"Electronic stethoscope for detecting heart abnormalities in athletes","authors":"B. Omarov, Aidar Batyrbekov, A. Suliman, Bakhytzhan Omarov, Yerlan Sabdenbekov, S. Aknazarov","doi":"10.1109/ACIT50332.2020.9300109","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300109","url":null,"abstract":"Cardiovascular diseases (CVD) are one of the main causes of death and disability in most countries of the world. As part of the fight against high morbidity, there is a clear shift in the global health paradigm towards active prevention and prevention, rather than treatment, of diseases, and a desire to reduce inpatient care in favor of outpatient treatment, home care, and self-care of patients about their own health. Most current global clinical guidelines clearly indicate the sequence of actions of the doctor to whom the patient sought help, including the obligation to evaluate objective health data, identify risk factors and based on them to determine the cardiovascular risk in a particular patient, and then take steps to reduce this risk. However, most countries do not currently have a comprehensive mass identification of risk factors and an overall assessment of the risk of developing CVD. Most heart diseases are related and are reflected by the sounds that the heart produces. Auscultation of the heart, defined as listening to the sound of the heart, was a very important method for early diagnosis of cardiac dysfunction. In this case, phonocardiogram (PCG) records heart sounds and noises that contain significant information about heart health. Analysis of the PCG signal has the potential to detect an abnormal heart condition. Traditional auscultation requires significant clinical experience and good listening skills. The advent of the electronic stethoscope paved the way for a new field of computer auscultation. This article discusses in detail the technology of an electronic stethoscope and the method of diagnosing heart rhythm disorders based on computer auscultation.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127955176","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

Comparison study between conventional machine learning and distributed multi-task learning models 传统机器学习与分布式多任务学习模型的比较研究

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI: 10.1109/ACIT50332.2020.9300096

Salam Hamdan, Sufyan Almajali, M. Ayyash

引用次数: 0

Optimizing the Energy Consumption Level in LoRaWan Networks 优化LoRaWan网络的能耗水平

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI: 10.1109/ACIT50332.2020.9300117

A. Khalifeh, Khaled Aldahdouh, S. Alouneh

{"title":"Optimizing the Energy Consumption Level in LoRaWan Networks","authors":"A. Khalifeh, Khaled Aldahdouh, S. Alouneh","doi":"10.1109/ACIT50332.2020.9300117","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300117","url":null,"abstract":"Long range wide area network (LoRaWAN) is a type of Low Power Wide Area (LPWA) technologies, which is designed to support long-range communication with low data rates and low power consumption requirements. LoRaWAN consists of many nodes that sense the environment and send their measurements to the gateway, which in turn directs the received data to the network server to process the collected data. Each one of these nodes is configured using five transmission parameters, (the spreading factor (SF), center frequency (CF), bandwidth (BW), coding rate (CR), and transmission power (TP). The optimal selection of the values plays a vital role in providing an efficient and energy preserving network implementation. In this paper, an algorithm that selects the optimal transmission power for each node in the network depending on the receiver sensitivity and the path loss of the communication link between the node and the gateway is developed by utilizing the Reinforcement Learning algorithm that is used to choose the best value of spreading factor. The simulation results of our proposed algorithm showed a significant decrease in the consumed power in the network compared with the other techniques in literature.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131534420","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

Cloud Computing Failures, Recovery Approaches and Management Tools 云计算故障、恢复方法和管理工具

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI: 10.1109/ACIT50332.2020.9300070

Lara Saleh, Waleed al-sitt

引用次数: 1

Performance Analysis of Lane Detection Algorithm using Partial Hough Transform 基于部分霍夫变换的车道检测算法性能分析

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI: 10.1109/ACIT50332.2020.9300083

P. Maya, C. Tharini

引用次数: 8

A seq2seq Neural Network based Conversational Agent for Gulf Arabic Dialect 基于seq2seq神经网络的海湾阿拉伯语会话代理

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI: 10.1109/ACIT50332.2020.9300059

Tahani Alshareef, M. Siddiqui

{"title":"A seq2seq Neural Network based Conversational Agent for Gulf Arabic Dialect","authors":"Tahani Alshareef, M. Siddiqui","doi":"10.1109/ACIT50332.2020.9300059","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300059","url":null,"abstract":"A Conversational Agent (CA), or dialogue system, is a computer system that has the ability to respond to humans automatically using natural language. CAs offer instant responses and can concurrently assist a potentially unlimited number of users. The modeling of CAs in Arabic has so far received less attention when compared with other languages due to the complexity of the Arabic language, the existence of several dialects, and a lack of data resources. The literature contends that modeling a CA in Arabic mostly done using pattern-matching and information retrieval, employing classification approaches with a closed-domain data source. There is extremely limited research so far on modeling an open-domain CA in the Arabic dialect. This research has utilized a deep-learning architecture, known as the Seq2Seq neural network, to build a CA in the Arabic Gulf dialect. We formulated the CA problem as a machine translation problem and, therefore, built our corpus from tweets, in the post-reply format, to train and evaluate the model. We investigated the effects of pretrained embeddings on the performance of the CA. For our evaluation, a Bilingual Evaluation Understudy (BLEU) score and human evaluators were used. The performance of the model was found to be comparable with existing deep learning models that have been trained on much larger corpora and in other languages. Our results present a promising first step towards building an open-domain CA in the Gulf Arabic dialect.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114490422","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

An analytical study of student satisfaction with the Statistics courses in e-learning as a new experience after Covid-19 at Al Ain University 新冠肺炎疫情后艾因大学统计学在线学习课程学生满意度分析研究

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI: 10.1109/ACIT50332.2020.9300049

Maha Rahrouh, Mamdouh Ghanem

引用次数: 1