International Journal of Computing最新文献_第6页

Optimum Reactive Power Dispatch Solution using Hybrid Particle Swarm Optimization and Pathfinder Algorithm 基于粒子群算法和探路者算法的最优无功调度

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2775

S. A. Adegoke, Yanxia Sun

{"title":"Optimum Reactive Power Dispatch Solution using Hybrid Particle Swarm Optimization and Pathfinder Algorithm","authors":"S. A. Adegoke, Yanxia Sun","doi":"10.47839/ijc.21.4.2775","DOIUrl":"https://doi.org/10.47839/ijc.21.4.2775","url":null,"abstract":"Optimum reactive power dispatch (ORPD) significantly impacts the operation and control of electrical power systems (EPS) due to its undeniable benefit in the economic operation and reliability of the systems. ORPD is a sub-problem of optimal power flow (OPF). The main aim is to reduce/minimize the real power loss. Among the swarm intelligence (SI) metaheuristic algorithms is particle swarm optimization (PSO), which has fast convergence speed and gives the optimum solution to a particular problem by moving the swarm in the intensification (exploitation) search space. Also, the pathfinder algorithm (PFA) mimics the collective movement of the swarms with a leading member. Therefore, combining the fast convergence of PSO with PFA to form a hybrid technique is considered a viable approach in this study to avoid decreasing PFA searchability when the dimension of the problem increases. In this article, a hybrid algorithm based on a particle swarm optimization and pathfinder algorithm (HPSO-PFA) is proposed for the first time to study the combination of the control variables (generator voltage, transformer tap, and sizing of reactive compensation to obtain the objective function (total real power loss). The proposed method is tested on the IEEE 30 and 118 bus systems. The losses were reduced to 16.14262 MW and 107.2913 MW for the IEEE 30 and 118 test systems. Furthermore, the percentage (%) reduction for the IEEE 30 and 118 test systems are 9.8% and 19.25%, respectively. The result demonstrates the performance of HPSO-PFA gives a better solution than the other algorithms.","PeriodicalId":37669,"journal":{"name":"International Journal of Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80216013","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

An Enhanced Online Boosting Ensemble Classification Technique to Deal with Data Drift 一种处理数据漂移的增强在线增强集成分类技术

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2778

R. Samant, S. Patil

引用次数: 1

DMUAS-IoT: A Decentralised Multi-Factor User Authentication Scheme for IoT Systems DMUAS-IoT:物联网系统的分散式多因素用户认证方案

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2777

Ikenna Rene Chiadighikaobi, N. Katuk, Baharudin Osman

{"title":"DMUAS-IoT: A Decentralised Multi-Factor User Authentication Scheme for IoT Systems","authors":"Ikenna Rene Chiadighikaobi, N. Katuk, Baharudin Osman","doi":"10.47839/ijc.21.4.2777","DOIUrl":"https://doi.org/10.47839/ijc.21.4.2777","url":null,"abstract":"The Internet of Things (IoT) has become the fundamental infrastructure of many intelligent applications, such as smart homes. IoT applications store distributes various information, including user authentication information, over a public channel that exposes it to security threats and attacks. Therefore, this study intends to protect authentication data communication through a decentralised multi-factor user authentication scheme for secure IoT applications (DMUAS-IoT). The scheme is secure and enables efficient user registration, login and authentication, and the user profile updating process where legitimate users can access the IoT system resources. DMUAS-IoT adopted PRESENT for face image encryption and elliptic curve cryptography for data exchange. The scheme security was verified using ProVerif and AVISPA, and mutual authentication was checked with BAN-Logic. The results show that the scheme is secure against man-in-the-middle and impersonation attacks, provides mutual authentication and has a low computation cost. Hence, the outcomes of this study could help secure user authentication data from attacks on applications involved with IoT and resource constraint environments.","PeriodicalId":37669,"journal":{"name":"International Journal of Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89666747","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 Generalized Method of Decreasing Data Redundancy 一种降低数据冗余的广义方法

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2786

Y. Iliash

引用次数: 0

Energy Consumption Monitoring with Evaluation of Hidden Energy Losses 基于隐性能量损失评估的能耗监测

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2784

B. Pleskach

{"title":"Energy Consumption Monitoring with Evaluation of Hidden Energy Losses","authors":"B. Pleskach","doi":"10.47839/ijc.21.4.2784","DOIUrl":"https://doi.org/10.47839/ijc.21.4.2784","url":null,"abstract":"This article presents a computational method for monitoring the energy consumption of technological systems with the assessment of their hidden energy losses caused by erroneous actions of personnel or equipment failures. Herewith, energy losses are calculated as the difference between the actual energy consumed and the minimum energy required to conduct the process in all operating modes. The minimum required energy is determined by the machine learning method based on stationary consumption precedents. Two approaches to the implementation of energy consumption monitoring with the assessment of hidden energy losses are considered – hardware and software. The hardware approach is based on the preliminary definition of normative, or minimum specific energy consumption in each technological mode. The software approach is based on the modeling of stationary areas of energy consumption in the form of precedents and their further analysis in the space of influential technological parameters. The paper notes the advantages and disadvantages of the proposed monitoring method, it is emphasized that the method is able to work with both linear and non-linear functions of energy dependence on the parameters of the technological process. It is noted in the paper that the advantage of the proposed method is the automated construction of the minimum energy function.","PeriodicalId":37669,"journal":{"name":"International Journal of Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80531803","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

Hybrid Deep-GAN Model for Intrusion Detection in IoT Through Enhanced Whale Optimization 基于增强鲸鱼优化的物联网入侵检测混合深度gan模型

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2781

S. Balaji, S. Sankara Narayanan

{"title":"Hybrid Deep-GAN Model for Intrusion Detection in IoT Through Enhanced Whale Optimization","authors":"S. Balaji, S. Sankara Narayanan","doi":"10.47839/ijc.21.4.2781","DOIUrl":"https://doi.org/10.47839/ijc.21.4.2781","url":null,"abstract":"IoT networks emerging as a significant growth in modern communication technological applications. The network formed with sensor nodes with resource restrictions in complexity, open wireless transmission features lead them prone to security threats. An efficient Intrusion Detection System aids in detecting attacks and performs crucial counter act to promise secure and reliable function. However, for the reason of the widespread nature of IoT, the intrusion detection system is supposed to carry out in discrete form with fewer fascination on common manager. In order to conquer these issues, Distributed – Generative Adversarial Network (D-GAN) with Enhanced Whale Optimization – Distributed deep learning based on Artificial Neural Network (EWO-HDL+ANN) is proposed. Here the GAN can detect internal attacks and the D-GAN is capable of detecting both internal and external attacks effectively. Transfer By Subspace Similarity is engaged to carry out. After that the preprocessed data is fed into feature extraction stage. Modified Principal Component Analysis (MPCA) is applied to feature extraction, which is used to extract new features that are enlightened. Then, feature selection is executed by Enhanced Whale Optimization Algorithm, which is used to choose significant and superfluous features from the dataset. It gets better the classification accuracy through the greatest fitness value. Then the intrusion detection is evaluated by applying HDL+ANN algorithm used to detect the attacks powerfully. The experimental conclusion proves that the introduced EWO-DDL+ANN method provides enhanced intrusion detection system in the view of greater accuracy, precision, recall, f-measure and low False Positive Rate.","PeriodicalId":37669,"journal":{"name":"International Journal of Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89226732","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

Entropy Based Segmentation Model for Kidney Stone and Cyst on Ultrasound Image 基于熵的超声图像肾结石和囊肿分割模型

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2780

Mino George, Anita Hadadi Bhimasena

引用次数: 0

Estimates of the Complexity of Detecting Types of DDOS Attacks 估计DDOS攻击检测类型的复杂性

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2779

N. Ignatev, E. Navruzov

{"title":"Estimates of the Complexity of Detecting Types of DDOS Attacks","authors":"N. Ignatev, E. Navruzov","doi":"10.47839/ijc.21.4.2779","DOIUrl":"https://doi.org/10.47839/ijc.21.4.2779","url":null,"abstract":"The problem of substantiating decisions made in the field of information security through estimates of the complexity of detecting types of DDOS attacks is considered. Estimates are a quantitative measure of a particular type of attack relative to normal network operation traffic data in its own feature space. Own space is represented by a set of informative features. To assess the complexity of detecting types of DDOS attacks, a measure of compactness by latent features on the numerical axis was used. The values of this measure were calculated as the product of intraclass similarity and interclass difference. It is shown that compactness in terms of latent features in its own space is higher than in the entire space. The values of latent features were calculated using the method of generalized estimates. According to this method, objects of normal traffic and a specific type of attack are considered as opposition to each other. An informative feature set is the result of an algorithm that uses the rules of hierarchical agglomerative grouping. At the first step, the feature with the maximum weight value is included in the set. The grouping rules apply the feature invariance property to the scales of their measurements. An analysis of the complexity of detection for 12 types of DDOS attacks is given. The power of sets of informative features ranged from 3 to 16.","PeriodicalId":37669,"journal":{"name":"International Journal of Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86156677","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

Diabetes Prediction Using Binary Grey Wolf Optimization and Decision Tree 二叉灰狼优化与决策树预测糖尿病

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2785

Layla AL.hak

引用次数: 1

A Microservice-based Software Architecture for Improving the Availability of Dental Health Records 一种基于微服务的提高牙齿健康记录可用性的软件架构

International Journal of Computing Pub Date : 2022-12-31 DOI: 10.47839/ijc.21.4.2783

Juan Arcila-Diaz, Carlos Valdivia

{"title":"A Microservice-based Software Architecture for Improving the Availability of Dental Health Records","authors":"Juan Arcila-Diaz, Carlos Valdivia","doi":"10.47839/ijc.21.4.2783","DOIUrl":"https://doi.org/10.47839/ijc.21.4.2783","url":null,"abstract":"In order to keep accessible, the patient care information recorded by a dental provider, a software architecture must be designed to allow availability among the different providers. \u0000In this research, a software architecture based on the Microservices approach is designed to enable the availability of dental medical records. The quality attributes and functional requirements were identified to design the architecture, determining that it should be composed of 4 Microservices, Patient, Dental Medical Record, Odontogram and Dental Service Provider; each microservice implements its database, the secure communication between the microservices and the clients is done through an API Gateway of HTTP resources and an authentication token. \u0000To evaluate the software architecture, a prototype was developed in which each component was deployed in containers using the Microsoft Azure App Service. On this prototype load tests were performed to evaluate Availability and Performance determining that up to 21 dental records per second can be available with 100% availability, and if the demand of requests increases the architecture scales automatically.","PeriodicalId":37669,"journal":{"name":"International Journal of Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81680050","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