Journal of Engineering Research and Sciences最新文献

Comprehensive Analysis of Software-Defined Networking: Evaluating Performance Across Diverse Topologies and Investigating Topology Discovery Protocols 全面分析软件定义网络：评估不同拓扑的性能并研究拓扑发现协议

Journal of Engineering Research and Sciences Pub Date : 2024-07-01 DOI: 10.55708/js0307003

Nikolaos V. Oikonomou, Dimitrios V. Oikonomou, E. Stergiou, Dimitrios Liarokapis

{"title":"Comprehensive Analysis of Software-Defined Networking: Evaluating Performance Across Diverse Topologies and Investigating Topology Discovery Protocols","authors":"Nikolaos V. Oikonomou, Dimitrios V. Oikonomou, E. Stergiou, Dimitrios Liarokapis","doi":"10.55708/js0307003","DOIUrl":"https://doi.org/10.55708/js0307003","url":null,"abstract":": Software-defined networking (SDN) represents an innovative approach to network architecture that enhances control, simplifies complexity, and improves operational efficiencies. This study evaluates the performance metrics of SDN frameworks using the Mininet simulator on virtual machines hosted on a Windows platform. The research objectives include assessing system performance across various predefined network topologies, investigating the impact of switch quantities on network performance, measuring CPU consumption, evaluating RAM demands under different network loads, and analyzing latency in packet transmission. Methods involved creating and testing different network topologies, including basic, hybrid, and custom, with the Mininet simulator. Performance metrics such as CPU and RAM usage, latency, and bandwidth were measured and analyzed. The study also examined the performance and extendibility of the OpenFlow Data Path (OFDP) protocol using the POX controller. Results indicate that balanced tree topologies consume the most CPU and RAM, while linear topologies are more efficient. Random topologies offer adaptability but face connection reliability issues. The POX controller and OFDP protocol effectively manage SDN network scalability. This research aims to analyze performance in a manner consistent with numerous previous studies, underscoring the importance of performance metrics and the scale of the network in determining the efficiency and reliability of SDN implementations. By benchmarking various topologies and protocols, the research offers a valuable reference for both academia and industry, promoting the development of more efficient SDN solutions. Understanding these performance metrics helps network administrators make informed decisions about implementing SDN frameworks to improve network performance and reliability.","PeriodicalId":484451,"journal":{"name":"Journal of Engineering Research and Sciences","volume":"138 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841902","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

Keratoconus Disease Prediction by Utilizing Feature-Based Recurrent Neural Network 利用基于特征的递归神经网络进行角膜病预测

Journal of Engineering Research and Sciences Pub Date : 2024-07-01 DOI: 10.55708/js0307004

Saja Hassan Musa, Qaderiya Jaafar Mohammed Alhaidar, Mohammad Mahdi Borhan Elmi

{"title":"Keratoconus Disease Prediction by Utilizing Feature-Based Recurrent Neural Network","authors":"Saja Hassan Musa, Qaderiya Jaafar Mohammed Alhaidar, Mohammad Mahdi Borhan Elmi","doi":"10.55708/js0307004","DOIUrl":"https://doi.org/10.55708/js0307004","url":null,"abstract":": Keratoconus is a noninflammatory disorder marked by gradual corneal thinning, distortion, and scarring. Vision is significantly distorted in advanced case, so an accurate diagnosis in early stages has a great importance and avoid complications after the refractive surgery. In this project, a novel approach for detecting Keratoconus from clinical images was presented. In this regard, 900 images of Cornea were used and seven morphological features consist of area, majoraxislength, minoraxislength, convexarea, perimeter, eccentricity and extent are defined. For reducing the high dimensionality datasets without deteriorate the information significantly, principal component analysis (PCA) as a powerful tool was used and the contribution of different PCs are determined. In this regard, Box plot, Covariance matrix, Pair plot, Scree Plot and Pareto plot were used for realizing the relation between different features. Improved recurrent neural network (RNN) with Grey Wolf optimization method was used for classification. Based on the obtained results, the average prediction error of the visual characteristics of a patient with keratoconus six and twelve months after the Kraring ring implantation using RNN are 9.82% and 9.29%, respectively. The average error of estimating characteristics of predicting the visual characteristics of a patient with keratoconus six and twelve months after myoring ring implantation are 11.46% and 7.47% respectively.","PeriodicalId":484451,"journal":{"name":"Journal of Engineering Research and Sciences","volume":"343 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141839286","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

A Flourished Approach for Recognizing Text in Digital and Natural Frames 识别数字和自然画面中文字的丰富方法

Journal of Engineering Research and Sciences Pub Date : 2024-07-01 DOI: 10.55708/js0307005

M. Dutta, Dhonita Tripura, Jugal Krishna Das

{"title":"A Flourished Approach for Recognizing Text in Digital and Natural Frames","authors":"M. Dutta, Dhonita Tripura, Jugal Krishna Das","doi":"10.55708/js0307005","DOIUrl":"https://doi.org/10.55708/js0307005","url":null,"abstract":": Acquiring tenable text detection and recognition outcomes for natural scene images as well as for digital frames is very challenging emulating task. This research approaches a method of text identification for the English language which has advanced significantly, there are particular difficulties when applying these methods to languages such as Bengali because of variations in script, morphology. Text identification and recognition is accomplished on multifarious distinct steps. Firstly, a photo is taken with the help of a device and then, Connected Component Analysis (CCA) and Conditional Random Field (CRF) model are introduced for localization of text components. Secondly, a merged model (region-based Convolutional Neural Network (Mask-R-CNN) and Feature Pyramid Network (FPN)) are used to detect and classify text from images into computerized form. Further, we introduce a combined method of Convolutional Recurrent Neural Network (CRNN), Connectionist Temporal Classification (CTC) with K-Nearest Neighbors (KNN) Algorithm for extracting text from images/ frames. As the goal of this research is to detect and recognize the text using a machine learning-based model a new Fast Iterative Nearest Neighbor (Fast INN) algorithm is now proposed based on patterns and shapes of text components. Our research focuses on a bilingual issue (Bengali and English) as well as it producing satisfactory image experimental outcome with better accuracy and it gives around 98% accuracy for our proposed text recognition methods which is better than the previous studies.","PeriodicalId":484451,"journal":{"name":"Journal of Engineering Research and Sciences","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853341","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

Mathematical Model of Optimum Management of the Customs Control Process and Expert System for Ensuring Data Reliability 海关监管流程优化管理数学模型和确保数据可靠性的专家系统

Journal of Engineering Research and Sciences Pub Date : 2024-05-01 DOI: 10.55708/js0305001

Ilkhom Mukhtorov, Takhir Abduraxmonov, Abdusobir Saidov

引用次数: 0

Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier 使用基于 ANN 的 Softmax 分类器估算肘关节运动

Journal of Engineering Research and Sciences Pub Date : 2024-04-01 DOI: 10.55708/js0304001

Abdullah Y. Al-Maliki, K. Iqbal, G. White

{"title":"Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier","authors":"Abdullah Y. Al-Maliki, K. Iqbal, G. White","doi":"10.55708/js0304001","DOIUrl":"https://doi.org/10.55708/js0304001","url":null,"abstract":": Estimating the natural voluntary movement of human joints in its entirety is a challenging problem especially when high accuracy is desired. In this paper, we build a modular estimator to estimate the elbow joint motion including angular displacement and direction. Being modular, this estimator can be scaled for application to other joints. We collected surface Electromyographic (sEMG) signals and motion capture data from healthy participants while performing elbow flexion and extension in different arm positions and at different effort levels. We preprocessed the sEMG signals, extracted features array, and used it to train an ANN-based Softmax classifier to estimate the angular displacement and movement direction. When compared against the motion cap-ture data, the classifier achieved estimation accuracy ranging from 80% to 90% with a resolution of 5°, which translates into Pear-son Correlation Coefficient (PCC) ranging from 0.91 to 0.95. Such high PCC values in mimicking the voluntary movement of the upper limb may help toward building intuitive prostheses, exoskeletons, remote-controlled robotic arms, and other Human Machine Interface (HMI) applications.","PeriodicalId":484451,"journal":{"name":"Journal of Engineering Research and Sciences","volume":"47 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140797342","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

Comprehensive E-learning of Mathematics using the Halomda Platform enhanced with AI tools 利用 Halomda 平台和人工智能工具进行全面的数学电子学习

Journal of Engineering Research and Sciences Pub Date : 2024-04-01 DOI: 10.55708/js0304002

Philip Slobodsky, Mariana Durcheva

引用次数: 0

DC/DC Converter by using FPGA 使用 FPGA 的 DC/DC 转换器

Journal of Engineering Research and Sciences Pub Date : 2024-03-01 DOI: 10.55708/js0303002

Amin Barnawi, Mohammed Zohday

引用次数: 0

Missile Guidance using Proportional Navigation and Machine Learning 利用比例导航和机器学习进行导弹制导

Journal of Engineering Research and Sciences Pub Date : 2024-03-01 DOI: 10.55708/js0303003

M. Hodžić, N. Prljaca

{"title":"Missile Guidance using Proportional Navigation and Machine Learning","authors":"M. Hodžić, N. Prljaca","doi":"10.55708/js0303003","DOIUrl":"https://doi.org/10.55708/js0303003","url":null,"abstract":": Variants of proportional navigation (PN) are perhaps mostly used guidance laws for tactical homing missiles. PN aims to generate commanding missile lateral acceleration proportional to line of sight (LOS) angular rate, so that missile velocity vector rotates in such a way to assure interception of a target. In order to generate commanding lateral accelerations, the guidance system needs measurements of LOS angular rate and the closing velocity between the missile and the target, or the missile velocity. A device which provides guidance information is referred to as the missile seeker. In the case of imaging based seekers (visible light (EO), infrared light (IIR)), LOS rate is estimated using imaging sensor, while closing or missile velocity is measured using appropriate sensors or guess estimated. In this paper, we present the design and simulation of a missile homing system which includes: true PN guidance law, linear multiloop acceleration autopilot, and gimbaled imaging based missile seeker. Target seeker uses advanced deep machine learning object detection YOLO (You only look once) model, for target detection and tracking as well as LOS rate estimation. Comprehensive simulation model, consisting of full 6DOF missile and controls dynamics, 3D world and camera model, is developed. Intensive simulation results show performances of the proposed missile homing system.","PeriodicalId":484451,"journal":{"name":"Journal of Engineering Research and Sciences","volume":"254 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140278357","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

"Greenwashing" or "Helping": ESG Performance and Chinese Firm Total Factor Productivity "洗绿 "还是 "助绿"？ESG绩效与中国企业全要素生产率

Journal of Engineering Research and Sciences Pub Date : 2024-03-01 DOI: 10.55708/js0303001

Jing Zhang, Ziyang Liu

{"title":"\"Greenwashing\" or \"Helping\": ESG Performance and Chinese Firm Total Factor Productivity","authors":"Jing Zhang, Ziyang Liu","doi":"10.55708/js0303001","DOIUrl":"https://doi.org/10.55708/js0303001","url":null,"abstract":": As the market economy has continued to develop, businesses have consistently prioritized profits, excessively emphasizing income and financial gains while neglecting ecological conservation and financial fraud. Consequently, the phenomenon of \"greenwashing\" has emerged. How to prevent this \"greenwashing\" phenomenon while pursuing economic benefits and enabling high-quality business development has become a focal point. Therefore, this paper analyzes whether the ESG (Environmental, Social, and Governance) performance of listed companies has an impact on the enhancement of the Total Factor Productivity (TFP) of enterprises. This study aims to explore how companies, while striving to maximize economic interests, can more proactively undertake environmental protection and social responsibility, thereby promoting the green transformation of enterprises. Using A-share listed companies from 2012 to 2022 as the sample, through an empirical examination of the correlation between the ESG performance of listed companies in China and the TFP of enterprises, the following conclusions are drawn: (1) ESG performance significantly promotes the TFP of enterprises, indicating that higher ESG performance corresponds to higher TFP; (2) Through intermediary effect tests, it is found that corporate reputation plays a role in enhancing the TFP of enterprises. That is, through good ESG performance, a company's reputation is improved, thereby leading to higher TFP; (3) Heterogeneity analysis demonstrates that the impact of good ESG performance on the enhancement of TFP is more significant in large-scale enterprises and state-owned enterprises","PeriodicalId":484451,"journal":{"name":"Journal of Engineering Research and Sciences","volume":"410 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140281477","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

A Swarm-Based Clinical Validation Framework of Artificial Intelligence Solutions for Non-Communicable Diseases 基于群体的非传染性疾病人工智能解决方案临床验证框架

Journal of Engineering Research and Sciences Pub Date : 2023-01-01 DOI: 10.55708/js0209001

Kitty Kioskli, Spyridon Papastergiou, Theofanis Fotis

引用次数: 0