2023 15th International Conference on Developments in eSystems Engineering (DeSE)最新文献_第2页

Architectural Design and Recommendations for a Smart Wearable Device for Women's Safety 一种用于女性安全的智能可穿戴设备的建筑设计与建议

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10099522

Manahil, Raed M. T. Abdulla, Muhammad Ehsan Rana

引用次数: 0

The Role and Potential Applications of Cloud Computing in the Banking Industry 云计算在银行业中的作用和潜在应用

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10099662

Muhammad Ehsan Rana, Lai Zhen Ji

引用次数: 1

Real- Time Healthcare Monitoring and Treatment System Based Microcontroller with IoT 基于物联网微控制器的实时医疗监测和治疗系统

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10099758

Mohammed K. Awsaj, Y. A. Mashhadany, L. Chaari

{"title":"Real- Time Healthcare Monitoring and Treatment System Based Microcontroller with IoT","authors":"Mohammed K. Awsaj, Y. A. Mashhadany, L. Chaari","doi":"10.1109/DeSE58274.2023.10099758","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099758","url":null,"abstract":"Health monitoring systems have achieved great popularity and great importance, especially with the presence of pandemics, large numbers of patients, and a lack of health staff. The presence of sensors on the patient's body to measure blood pressure, body temperature, and heart rate, in addition to room temperature and humidity, constantly supports the specialized medical staff in measuring these indicators. The advantage of these devices is that they are with the patient all the time, and a nurse cannot accompany a patient for this period. In this paper, a health care system is designed and implemented to measure vital signs and room environment temperature and humidity. ESP32 receives the vital signs data from the patient and his room. This information has been sent to the Raspberry Pi 4 where the information was compared to the information provided by the doctor to ensure obtaining the alarm when the measure has a large difference. The system obtains two types of alarms; the first is a medical alarm that accrues when vital signs are high or low from the normal measurements. This alarm calls the medical staff, while the second alarm occurs during a hardware malfunction. The second type of alarm call the technical staff. Testing the system shows that the two types of alarm have been recognized on their occurrence. All these measurements and alarms have been stored in the cloud for patient health monitoring.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114408669","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

An Exploratory Study on the Impact of Hosting Blockchain Applications in Cloud Infrastructures 托管区块链应用对云基础设施影响的探索性研究

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10100137

Terence. Chee, Muhammad Ehsan Rana

{"title":"An Exploratory Study on the Impact of Hosting Blockchain Applications in Cloud Infrastructures","authors":"Terence. Chee, Muhammad Ehsan Rana","doi":"10.1109/DeSE58274.2023.10100137","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10100137","url":null,"abstract":"Blockchain presents many new examples of delivering a robust audit trail using the distributed ledger. However, some potential issues, especially scalability and privacy, are still ongoing in the blockchain. Fortunately, these issues can be settled by using cloud computing. Cloud computing is an on-demand service that enables consumers to purchase and use IT resources. It saves the consumer's cost as consumers don't have to spend extra on building their on-premises server and providing extra security to the application. Enterprises interested in joining the blockchain flow can run their blockchain in the cloud. Cloud Service Providers (CSPs) provide multiple services such as IaaS, PaaS, SaaS and BaaS that can help a business start its blockchain application. But there are still risks that should be carefully noted. Data leaks and breaching are still possible despite the safety and privacy guarantees. The failure to achieve proper security will have to face massive potential fines. In this research, the authors addressed the impact of utilising the cloud in the blockchain and provided an in-depth understanding of the relationship between blockchain technology and cloud computing.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114952333","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

Identify Type of Lung Infection from Lung Patients X-RAY Image LIVERAGING Computer Vision 利用计算机视觉识别肺部感染患者的x线图像

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10099479

M. Mahyoub, Thomas Coombs, M. Jayabalan, J. Mustafina, A. Hussain

引用次数: 0

Technology-Driven Implementation of Smart Entrances in Public Places During the COVID-19 新冠肺炎疫情期间公共场所智能出入口的技术驱动

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10100044

Moo Chi Yuen, Muhammad Ehsan Rana, Kamalanathan Shanmugam, Raed M. T. Abdulla

引用次数: 0

Intelligent Detection System for Multi-Step Cyber-Attack Based on Machine Learning 基于机器学习的多步网络攻击智能检测系统

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10100226

K. Alheeti, Abdulkareem Alzahrani, Omar Hammad Jasim, Duaa Al-Dosary, Hamsa M. Ahmed, M. Al-Ani

{"title":"Intelligent Detection System for Multi-Step Cyber-Attack Based on Machine Learning","authors":"K. Alheeti, Abdulkareem Alzahrani, Omar Hammad Jasim, Duaa Al-Dosary, Hamsa M. Ahmed, M. Al-Ani","doi":"10.1109/DeSE58274.2023.10100226","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10100226","url":null,"abstract":"Cyber-attacks involve stifling processes and activities, conciliating data, or restricting data access by carefully modifying computer systems and networks with malware. There has been a significant increase in these types of attacks over time. Due to the rise in complexity and structure, advanced defensive methods are needed. In the face of growing security threats, traditional methods of identifying cyber-attacks are ineffective. In this paper, the intelligent of intrusion a detection system is suggested. Moreover, the suggested system attempts to evaluate the capability of the k-nearest neighbour's algorithm (KNN) in terms of distinguishing between authentic and tampered data. A reliable dataset named the Multi-Step Cyber-Attack Dataset (MSCAD) is utilized to determine the behavior Among the new sorts of attacks. Moreover, 60% of the dataset was utilized for training the model, and a remaining 40% was used for testing. Evaluation metrics like accuracy, precision, recall, and F1 score are used. Experiments suggest that the proposed system-based KNN could enhance detection performance. Moreover, the suggested approach increases detection accuracy while minimizing false alarms.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"483 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123007485","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

Design and Implementation of Algorithmic Stock Trading 算法股票交易的设计与实现

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10100293

Piers Blackmun, Sahar Al-Sudani, D. Al-Jumeily

{"title":"Design and Implementation of Algorithmic Stock Trading","authors":"Piers Blackmun, Sahar Al-Sudani, D. Al-Jumeily","doi":"10.1109/DeSE58274.2023.10100293","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10100293","url":null,"abstract":"The act of trading in the financial markets from a discretionary standpoint comes with a vast number of pitfalls that lead to participants achieving poor returns on their investments. With trading being a psychologically intense activity, the paper presents development of trading algorithms that will not only eliminate the psychological barriers to trading but do so in a way that ensures that significant returns on investments are made, with these returns being evaluated by testing the strategies on past historical price data of various assets. Findings noted that the algorithms performances varied depending on the market circumstances with certain strategies only being applicable to either strong or weak market conditions. The implication of these findings opens the door to new discussions since the algorithms developed resided outside of the traditional high frequency trading model which are the most prominent trading applications found on the markets. This unconventional algorithmic approach to the markets verifies a way of obtaining significant returns without the requisite of having low latency, thus enabling one to compete with the more sophisticated algorithms developed and used by the major financial institutions without the need for human intervention or any additional resources.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132003332","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

Aspect-Based Sentiment Analysis on Movie Reviews 基于方面的电影评论情感分析

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10099815

Brentton Wong Swee Kit, M. Joseph

{"title":"Aspect-Based Sentiment Analysis on Movie Reviews","authors":"Brentton Wong Swee Kit, M. Joseph","doi":"10.1109/DeSE58274.2023.10099815","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099815","url":null,"abstract":"Voice of the Customer (VoC) has gained traction over the past few years to understand the consumers' opinion, preferences, and expectation. Reviews that are posted online are one of the methods of communication between the company and the consumers. Therefore, companies can analyse the reviews posted online to identify the aspects and sentiments that are mentioned in the reviews. However, the process of analysing the reviews manually is inefficient and is prone to bias. One of the methods of tackling manually analysing is by using machine learning. This process is called aspect-based sentiment analysis, there are many aspect-based sentiment analysis studies and research has been done previously. However, majority of the previous studies focuses on other domains such as product reviews or restaurant reviews. Therefore, this research will focus on the movie industry where movie reviews will be used to train and predict the aspects and sentiment of the movie review using machine learning models. This research will perform both aspect prediction and sentiment prediction on different models. The aspect prediction will be done using Logistic Regression and Decision Tree whist the Sentiment Analysis will be done using Logistic Regression and Multinomial Naïve Bayes. Based on the findings of the study, Decision Tree was able to achieve a higher accuracy of 98% while Logistic Regression was able to score an accuracy of 92%. Additionally, Logistic Regression was able to score a better accuracy for Sentiment Prediction with an accuracy of 93% when compared to Multinomial Naïve Bayes which achieved an accuracy of 91 %. Therefore, Decision Tree is more suitable for Aspect Prediction whilst Logistic Regression is more suitable for Sentiment Analysis.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132380396","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

Prediction of Component Level Degradation in a Hydraulic Rig using Machine Learning Methods 基于机器学习方法的液压钻机部件退化预测

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10100050

Shyamala Rajasekar

引用次数: 0