2023 15th International Conference on Developments in eSystems Engineering (DeSE)最新文献_第7页

Performance Comparison of an implemented Wired and Wireless Micro Smart Grid 实现的有线与无线微智能电网性能比较

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10099600

Ahmed Abdulridha, Israa Bader Al-Mashhadani, Shaimaa Mudhafar Hashim, Kaiser A. Reshak

引用次数: 0

Intelligent Detection System for a Distributed Denial-of - Service (DDoS) Attack Based on Time Series 基于时间序列的分布式拒绝服务攻击智能检测系统

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10100180

M. Alsumaidaie, K. Alheeti, Abdul-Kareem A. Al-Aloosy

引用次数: 1

Improved Traditional Fitness Model by Applying Big Data Analysis 应用大数据分析改进传统适应度模型

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10100118

Muhammad Ehsan Rana, Lin Yanyu, Vazeerudeen Abdul Hameed, K. B. Nowshath

{"title":"Improved Traditional Fitness Model by Applying Big Data Analysis","authors":"Muhammad Ehsan Rana, Lin Yanyu, Vazeerudeen Abdul Hameed, K. B. Nowshath","doi":"10.1109/DeSE58274.2023.10100118","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10100118","url":null,"abstract":"This study elaborated on the importance of fitness in the contemporary environment, put forward the problems in traditional fitness, and conducted a series of discussions according to the questions. It conducted an in-depth analysis of fitness data utilising appropriate data analysis techniques to explore the relationship between different fitness data. Moreover, this study explores the processes and tools needed for analysis and explains the difficulties and resistance that may be encountered in future research. The literature section provides a detailed discussion on muscle gain and weight loss in fitness, the elaboration of big data frameworks, and machine learning methods that may be applied in this field. However, the regression models were only conducted on calorie burning for weight loss due to the lack of suitable muscle data. The optimal Mean Absolute Error and coefficient of determination were obtained as 8.307 and 0.967. The final section also concludes the process and results of this study and puts forward the shortcomings and the direction for future improvement.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"53 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":"131676456","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

Investigation on the Integrated Cloud and BlockChain (ICBC)Technologies to Secure Healthcare Data Management Systems 云与区块链(ICBC)集成技术保障医疗数据管理系统安全的研究

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10100065

A. Badr, L. Chaari, S. Ayed

{"title":"Investigation on the Integrated Cloud and BlockChain (ICBC)Technologies to Secure Healthcare Data Management Systems","authors":"A. Badr, L. Chaari, S. Ayed","doi":"10.1109/DeSE58274.2023.10100065","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10100065","url":null,"abstract":"Blockchain is emerging as one of the most promising and resourceful security technologies for cloud infrastructures. In a distributed database system, blockchain is used to store, read, and validate transactions. It can improve security, trustworthiness, and privacy by using an unchallengeable, shared distributed ledger on cloud nodes. Cloud-based healthcare systems (CHS) are vulnerable to various threats and attacks such as identity theft, medical fraud, insurance fraud, and alteration of critical patient data. Secure retrieval, access, and storage of data on CHS are necessary to protect critical medical data. Accordingly, the integrated cloud and BlockChain (ICBC) architecture emerge as a potential solution for shaping the next era of a healthcare system while providing efficient, secure, and effective patient care. In this context, this paper presents an in-depth exploration of advanced approaches to securing cloud-based healthcare data management systems using blockchain technologies. It provides a taxonomy and highlights the benefits and limitations of the approaches examined.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"34 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":"130927348","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

The Impact of the COVID-19 Pandemic on Retrenchment, Vaccinations, and Global Happiness 2019冠状病毒病大流行对节俭、疫苗接种和全球幸福的影响

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10100157

Ng Wei Shen Jackson, Jullisha Sasikumar, Wong Yok Hung, Osama Rasheed Khan, Vivian Ng Zhi Hui, Sahar Al-Sudani, Huaqun Guo, Zhiyuan Zhang, Zhengkui Wang

引用次数: 0

Improvement of the Personnel Delivery System in the Mining Complex using Simulation Models 基于仿真模型的采场人员输送系统改进

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10099877

I. Makarova, G. Mavlyautdinova, V. Mavrin, P. Buyvol, A. Alatrany, J. Mustafina

{"title":"Improvement of the Personnel Delivery System in the Mining Complex using Simulation Models","authors":"I. Makarova, G. Mavlyautdinova, V. Mavrin, P. Buyvol, A. Alatrany, J. Mustafina","doi":"10.1109/DeSE58274.2023.10099877","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099877","url":null,"abstract":"The strategy of spatial development of the country for the period up to 2024, based on the infrastructure of a specific type of transport, provides for the connection of the territories of settlements with modern communications; phased reconstruction and modernization; personnel, technical and technological support for interaction and digital transformation of the Russian transport complex. The development of the Russian Arctic is a priority area, since it has a significant natural resource, socio-economic and transport potential, which must be maximized, taking into account all the features of this region. It is important to develop the northern territories in such a way that the transport infrastructure of the Arctic meets the requirements in the field of comfort and safety of the human environment. This can be achieved through the use of vehicles of increased environmental friendliness and energy efficiency. In the study we analyse the possibility of converting shift buses used to deliver personnel involved in the development of fields in the Arctic zone to gas motor fuel using simulation models.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"83 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":"114782483","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

Sentiment Classification of Drug Reviews Using Machine Learning Techniques 基于机器学习技术的药物评论情感分类

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10099735

Mohammad Al-Ameen A. Hameed, Khalid Shaker, H. A. Khalaf

引用次数: 1

Automated Plant Disease Diagnosis in Apple Trees Based on Supervised Machine Learning Model 基于监督机器学习模型的苹果树病害自动诊断

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10099689

Palash Aich, Ali Al Ataby, M. Mahyoub, J. Mustafina, Y. Upadhyay

{"title":"Automated Plant Disease Diagnosis in Apple Trees Based on Supervised Machine Learning Model","authors":"Palash Aich, Ali Al Ataby, M. Mahyoub, J. Mustafina, Y. Upadhyay","doi":"10.1109/DeSE58274.2023.10099689","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099689","url":null,"abstract":"The United States is the second largest producer of apples in the world with an estimated $21 billion downstream revenue. Since agriculture in the USA is highly mechanized, it is critical that latest advancements in technology are always integrated to the agricultural sector to not only improve efficiency but also improve quality, quantity, and to ensure faster distribution. Crop disease hampers the overall agricultural productivity and for a temperature-controlled crop like apple trees, identification of diseases at beginning stage is of paramount importance. There are two ways to identify and rectify issues relating to apple tree diseases, firstly by engaging expert biologists and secondly via automated identification through image processing. The biggest challenges with identification of diseases via biologist are accuracy, time constraints in case of bigger farms and budgetary limits. This research proposes the use of Machine Learning (ML) technique to aid and assist in automated disease detection and identification, and hence, making it affordable. It proposes the use of an ensemble (via weighted average) over single models, thereby improving performance and robustness by utilizing augmentations (positional and colour) which were not present in earlier studies. The proposed work surely creates an impact on the current plant disease diagnosis field by making the classification mode accurate and robust since it reaches accuracy of ~95% for all the classes.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"6 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":"121649585","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

Multi-UAVs-based SDN, IoT, and Cloud Architecture for Hostile Areas Supervision 敌对区域监控的多无人机SDN、物联网和云架构

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10099609

Aicha Idriss Hentati, L. Chaari, Lobna Krichen, A. Alanezi

{"title":"Multi-UAVs-based SDN, IoT, and Cloud Architecture for Hostile Areas Supervision","authors":"Aicha Idriss Hentati, L. Chaari, Lobna Krichen, A. Alanezi","doi":"10.1109/DeSE58274.2023.10099609","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10099609","url":null,"abstract":"During this last decade, Unmanned Aerial Vehicles (UAVs) are being useful in complex missions and critical scenarios in particular for hostile areas supervision. The integration between Space-Air-Ground Networks (SAGIN) is gaining more attention especially with the future generation of cellular networks (6G). In this context, mainly, we focus on the integration between aerial and terrestrial networks. The aerial network corresponds to the use of the multi-UAVs network, called Flying Ad Hoc Networks (FANETs), and the terrestrial networks correspond to the use of the Ground Control Station (GCS), Wireless Sensor Network (WSN), Internet of Things (IoT), cellular networks and cloud computing. Moreover, we propose a novel architecture named Multi-UAVs-based SDN, IoT, and Cloud Architecture (MUSICA), in which we use Software Defined Network (SDN) controller to manage the integration between terrestrial and aerial networks and we deploy cloud storage and computing resources. The detailed functional components of the proposed MUSICA architecture and the data flow between its different components are discussed and the benefits of MUSICA for scalable land supervision are pinpointed.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"58 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":"117313129","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

Double Dual Convolutional Neural Network (D2CNN) for Copy-Move Forgery Detection 双双卷积神经网络(D2CNN)用于复制-移动伪造检测

2023 15th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2023-01-09 DOI: 10.1109/DeSE58274.2023.10100318

Mahmoud H. Farhan, Khalid Shaker, Sufyan T. Faraj Al-Janabi

{"title":"Double Dual Convolutional Neural Network (D2CNN) for Copy-Move Forgery Detection","authors":"Mahmoud H. Farhan, Khalid Shaker, Sufyan T. Faraj Al-Janabi","doi":"10.1109/DeSE58274.2023.10100318","DOIUrl":"https://doi.org/10.1109/DeSE58274.2023.10100318","url":null,"abstract":"In recent years, the problem of fake image diffusion is on the rise mainly on social networks because of the development of different tools for image editing. Copy-move forgery (CMF) is one of the image forgeries types used for manipulating the image content. In CMF, the region in an image is copied and placed in a different location in the same image. In this paper, an algorithm for CMF detection based on a Double Dual Convolutional Neural Network (D2CNN) is proposed. A novel concatenation of two Dual Convolutional Neural Networks (DCNN) is used, where each DCNN is composed of two CNN networks. A fully connected network (FCN) is taking the result of the D2CNN and hence classifying the input images into either original or forged. The features extracted from the two DCNN and fusion of these features (D2CNN) have achieved good results according to the following metrics: Accuracy, f1-score, precision, and recall. Two standard datasets namely MICC F-220 and MICC F-2000 have been used to evaluate the proposed approach. Experimental analysis shows that the proposed approach achieves accuracy higher than 98.48% on the MICC F-220 dataset and 97.83% on the MICC F-2000 dataset.","PeriodicalId":346847,"journal":{"name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","volume":"43 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":"126630314","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