International Research Journal on Advanced Science Hub最新文献_第6页

Enhancing Transmission of Voice in Real-Time Applications 增强语音在实时应用中的传输

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s037

Puli Venkatesh Kumar, Shunmugathammal M, Puli Nitish Kumar, Dharaneesh V, Kanagasabapathi M G

引用次数: 0

Deep Learning Approach for Crack Detection in Solar Panels using Convolutional Neural Networks 基于卷积神经网络的太阳能板裂纹检测深度学习方法

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s043

Vithun V C, M. S, P. V, A. R.

引用次数: 0

Detection of Phreaking Website Using Various Algorithms 利用各种算法检测盗版网站

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s041

Maneesha K, Rajasekhar K, P. K, Venkata Prasad N

引用次数: 0

A Bio inspired Approach for Load Balancing in Container as a Service Cloud Computing Model 容器即服务云计算模型中负载平衡的生物启发方法

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s058

Kodanda Dhar Naik, R. R. Sahoo, S. K. Kuanar

{"title":"A Bio inspired Approach for Load Balancing in Container as a Service Cloud Computing Model","authors":"Kodanda Dhar Naik, R. R. Sahoo, S. K. Kuanar","doi":"10.47392/irjash.2023.s058","DOIUrl":"https://doi.org/10.47392/irjash.2023.s058","url":null,"abstract":"In recent years, container-based virtualization has gained popularity due to its ease of deployment and agility in cloud resource provisioning. The traditional virtual machine (VM) is based on modern innovation, has superseded technology in cloud computing which is known as containerization technology, and it is superior in terms of overall performance, reliability and efﬁciency. Containerized clouds deliver superior performance because they make the most of the resources available at the host level and make use of a load-balancing strategy. In order to accomplish this goal, the focus of this article is on equitably dividing of the workload across all of the available servers. In this research, we proposed a Honeybee Mating Algorithm (HBMA) to combat the issue of load balancing in the container-based cloud environment by considering the deadline of tasks. We compared our ﬁndings to those of the Grey Wolf Optimization (GWO), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) Algorithms. We assessed the performance of the proposed methods by considering the impact of parameters such as load variation and makespan. According to the ﬁndings of our proposed method, almost the tasks were com-pleted within the deadline, and the HBMA performed signiﬁcantly better than any of the other strategies in terms of load variance and makespan.","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124516617","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 of Relaxed Greedy Approach based Threat Detection Framework for Smart Grid Systems 基于松弛贪婪方法的智能电网威胁检测框架设计

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s019

A. D. Krishna, Alivelu Vaishnavi Lingam, Medapati Navya Sri, Lanka Vatapatra Sai Pathrudu, Manas Kumar Yogi

引用次数: 0

Outlier Detection in Single Universal Set using Intuitionistic Fuzzy Proximity Relation based on A Rough Entropy-Based Weighted Density Method 基于粗糙熵加权密度法的直觉模糊接近关系在单个泛集中的离群点检测

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s067

G. A., Sangeetha T

引用次数: 0

An Effective Network Intrusion Detection Model for Coarse-to-Fine Attack Classification of Imbalanced Network Traffic 一种有效的网络入侵检测模型，用于网络流量不均衡的粗到精攻击分类

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s072

Annie Jerusha Y, Syed Ibrahim S P, V. Varadharajan

{"title":"An Effective Network Intrusion Detection Model for Coarse-to-Fine Attack Classification of Imbalanced Network Traffic","authors":"Annie Jerusha Y, Syed Ibrahim S P, V. Varadharajan","doi":"10.47392/irjash.2023.s072","DOIUrl":"https://doi.org/10.47392/irjash.2023.s072","url":null,"abstract":"In the present day, cyber security is facing numerous attacks that are causing substantial damage to users. Recent intrusion detection systems are employing advanced methods like deep learning to create effective and efﬁcient intrusion detection systems in order to address these new and intricate attacks. Even the recent benchmark datasets are facing the trouble of detection and prediction of minority attack classes leading the way to missed and false alarms extensively. Hence, these detection systems are biased toward coarse attack classes (majority classes) over ﬁne classes (minority classes). This problem is referred to as Coarse to Fine-Attack Classiﬁcation (C-FAC). To overcome this challenge and boost the multi-attack classiﬁcation, a novel approach has been proposed which takes the advantage of ensemble model in phase 1 and Generative Adversarial Networks (GAN) in phase 2. We used classical machine learning and deep learning classiﬁcation models: Extreme Gradient Boosting (XGBoost), Decision Tress (DT), and Deep Neural Networks (DNN). GAN is cast as an over-sampling method in this model which enhances the classiﬁcation accuracy of attacks. The effectiveness of our proposed model was evaluated using the two benchmark datasets for intrusions, namely NSL-KDD and CSE-CIC-IDS2018. Based on the experimental results, it was found that our method improved the detection performance and even reduced the false alarm rate of the deep learning network intrusion detection model signiﬁcantly.","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114286061","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

Enhanced Recommendation Systems: A Survey on the Impact of Auxiliary Information 增强型推荐系统:辅助信息的影响调查

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s073

Navansh Goel, Suganeshwari G

{"title":"Enhanced Recommendation Systems: A Survey on the Impact of Auxiliary Information","authors":"Navansh Goel, Suganeshwari G","doi":"10.47392/irjash.2023.s073","DOIUrl":"https://doi.org/10.47392/irjash.2023.s073","url":null,"abstract":"In the age of big data, recommendation systems have become a critical tool for helping users navigate the overwhelming amount of online information. Enhanced recommendation systems take this one step further, leveraging the latest algorithms and data-driven insights to deliver highly personalized and relevant recommendations. This research paper provides a comprehensive overview of the recent progress in enhanced recommendation systems, covering the current state-of-the-art techniques and discussing the opportunities and challenges practitioners face. The article explores a range of approaches, including deep learning techniques and hybrid models that integrate both user and item data, and presents the essential concepts, methods, and applications driving the advancement of recommendation systems. We recognize the pressing hurdles in the ﬁeld as sparsity and diversity, thereby focusing on intent-based models that exploit the additional/auxiliary information by aggregating implicit feedback from user-item interactions. We have gone one step further by compiling the benchmarks in the ﬁeld, enabling new researchers to explore and innovate at a much more thoughtful and faster pace .","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129810438","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

RF Technologies for Connecting Various Constrained Devices in IoT System 物联网系统中连接各种受限设备的射频技术

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s034

Aurangjeb Khan, J. K

{"title":"RF Technologies for Connecting Various Constrained Devices in IoT System","authors":"Aurangjeb Khan, J. K","doi":"10.47392/irjash.2023.s034","DOIUrl":"https://doi.org/10.47392/irjash.2023.s034","url":null,"abstract":"In IoT systems various sensors, actuators and smart objects are used for different purposes, some smart objects require high bandwidth, some may need very low bandwidth. Some objects need to communicate over a long range, some objects need to consume very low power, so that its battery life should be long. To cater to these IoT system’s requirements there is a lot of research on communication technologies by IEEE, resulting in the development of various Radio Frequency (RF) standards for the different types of smart objects and sensors. IEEE 802.15.4 standards are mostly used for the constrained devices with low power consumption and low data rate, at the same time 4G/5G are being used in sensors like cameras with edge nodes at high data rate to process high volume of images and videos with various image processing algorithms. In this paper we are classifying the different RF technologies and its features best suited for the speciﬁc sensor in an IoT system as well as classiﬁcation of RF modules (like Zigbee, 6LoWPAN, and LoRa) for connecting different types of constrained devices for different IoT projects. At the same time 4G/5G sim-based Wi-Fi modules will be used for integrating cameras like sensors which run on AC/DC power, to process high volume of data using various image processing algorithms at the edge node which further transfer the processed information to the cloud for further analysis and future use. Main objective of this paper is to classify and analyse the best suited RF standards for various constrained devices on low data rate, as well as for power full smart objects at high data rate in IoT systems.","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129910592","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

Robotic Process Automation ( RPA) in Healthcare 医疗保健中的机器人流程自动化(RPA)

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s030

S. R, Pavithra P, Prathiksha S, Selvakanmani S

引用次数: 1