International Conference on Intelligent and Innovative Computing Applications最新文献

Optimal Video Compression Parameter Tuning for Digital Video Broadcasting (DVB) using Deep Reinforcement Learning 基于深度强化学习的数字视频广播(DVB)视频压缩参数优化

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.030

William B. Motaung, K. Ogudo, Chabalala S. Chabalala

{"title":"Optimal Video Compression Parameter Tuning for Digital Video Broadcasting (DVB) using Deep Reinforcement Learning","authors":"William B. Motaung, K. Ogudo, Chabalala S. Chabalala","doi":"10.59200/iconic.2022.030","DOIUrl":"https://doi.org/10.59200/iconic.2022.030","url":null,"abstract":"DVB (digital video broadcasting) has undergone an enormous paradigm shift, especially through internet streaming that utilizes multiple channels (i.e., secured hypertext transfer protocols). However, due to the limitations of the current communication network infrastructure, video signals need to be compressed before transmission. Whereas most recent research has concentrated and focused on assessing video quality, little to no study has worked on improving the compression processes of digital video signals in lightweight DVB setups. This study provides a video compression strategy (DRL-VC) that employs deep reinforcement learning for learning the suitable parameters used in digital video signal compression. The problem is formulated as a multi-objective one, considering the structural similarity index metric (SSIM), the delay time, and the peak signal-to-noise ratio (PSNR). Based on the findings of the experiments, our proposed scheme increases bitrate savings while at a constant PSNR. Results also show that our scheme performs better than the benchmarked compression schemes. Finally, the root means square error values show a consistent rate across different video streams, indicating the validity of our proposed compression scheme.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124282281","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 Comparative Study of Wind Energy Conversion System incorporating the Doubly Fed Induction Generator and the Permanent Magnet Synchronous Generator 双馈感应发电机与永磁同步发电机风能转换系统的比较研究

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.026

Khulekani Ntuli, M. Kabeya, Gulshan Sharma

{"title":"A Comparative Study of Wind Energy Conversion System incorporating the Doubly Fed Induction Generator and the Permanent Magnet Synchronous Generator","authors":"Khulekani Ntuli, M. Kabeya, Gulshan Sharma","doi":"10.59200/iconic.2022.026","DOIUrl":"https://doi.org/10.59200/iconic.2022.026","url":null,"abstract":"The renewable energy power producer (RPP) sector is growing rapidly to become an important source of power in South Africa and in nations across the globe. Companies within this sector provide a variety of clean energy sources. Despite its ability to support the power system and conserve the environment that sustains life, the rising usage of renewable distributed generators (RDGs) poses power quality problems in the overall distribution network, such as the voltage instability at buses, the increase in voltage/current harmonic distortions, etc. Furthermore, RDGs are required to remain connected to the electrical power network during grid faults and provide system support by injecting reactive current when required, depending on the nature of the fault. This study provides a dynamic performance analysis of a doubly fed induction generator (DFIG) based wind energy conversion system (WECS), and permanent magnet synchronous generator (PMSG) based WECS. The potential fault ride-through capability solutions in grid code power generation and injection of reactive power are taken into account, and the application results of both systems are shown under similar working conditions. From the simulation results, it is found that the DFIG based WECS topology performed well compared to the PMSG based WECS topology.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114589148","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

Clustering of the West African Starchy Roots and Tubers using Nutritive Value 西非淀粉根和块茎的营养价值聚类

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.025

D. Atsa’am, R. Wario

{"title":"Clustering of the West African Starchy Roots and Tubers using Nutritive Value","authors":"D. Atsa’am, R. Wario","doi":"10.59200/iconic.2022.025","DOIUrl":"https://doi.org/10.59200/iconic.2022.025","url":null,"abstract":"The objective of this study was to sub-group the West African starchy roots and tubers’ food sources according to their nutritive values. The k means algorithm was deployed on a dataset consisting of starchy roots and tubers food items extracted from the West African Food Composition Table. Various measures of evaluating clustering validity were employed and the results showed that the clustering was valid. Three clusters were extracted, each consisting of food sources that are very similar in nutritive value. Findings prove that in terms of nutritive value, some kinds of yam and cassava could be classified together, while some kinds of sweet potato and cocoyam could also be classified together, and so on. The clusters can be explored by nutritionists, dieticians, food processing enterprises, and food scientists to find alternative food sources when their original choices are unavailable. Though clustering validation showed that food sources within the same cluster are significantly similar on a general note, a future study is required to research on the extent to which food sources within the same cluster are similar to each other at a granular level.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126440324","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

Artificial Intelligence Hybrid Algorithm for System Reconfiguration to Reduce Power Losses in the Distribution System 基于人工智能的配电系统重构混合算法研究

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.023

M. Ntombela, M. Kabeya, M. Leoaneka

{"title":"Artificial Intelligence Hybrid Algorithm for System Reconfiguration to Reduce Power Losses in the Distribution System","authors":"M. Ntombela, M. Kabeya, M. Leoaneka","doi":"10.59200/iconic.2022.023","DOIUrl":"https://doi.org/10.59200/iconic.2022.023","url":null,"abstract":"A number of algorithms that aim to reduce power system losses and improve voltage profiles by system reconfiguration have already been proposed, but they are still subject to several limitations. Hence, new algorithms can be developed, or existing ones can be improved so that this important issue can be addressed more appropriately and effectively. To understand smart grids, distribution network, which is a key component of Distribution System Reconfiguration (DSR), is presented in this study as an accurate and effective solution. To determine the intended optimum reconfiguration and effectively rearrange the connectivity of the distribution networks, it uses a variety of heuristic optimization techniques. In this paper, a hybrid artificial intelligent method, made up of the genetic algorithm (GA) and particle swarm optimization (PSO), is developed. Using the standard IEEE 33-bus distribution network on MATLAB, the proposed method's validity and efficacy have been evaluated. The findings demonstrate the proposed approach's robustness and demonstrate that it minimizes the average power loss of independent runs while requiring less processing time. The comparison of results shows that HGAPSO has a better solution than GA and PSO.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115877168","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

Optimizing Mobile Commerce to Improve Small and Medium Enterprises Markets 优化移动商务，改善中小企业市场

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.018

Penuel Makelana, Marlo De Swardt, Mmatshuene Anna Segooa

引用次数: 0

A Bridge to Machine Learning for Zero Computer Science Community: A Machine Learning Path with Linear Regression 零计算机科学社区通往机器学习的桥梁:线性回归的机器学习路径

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.005

Malusi Sibiya, Elisha Didam Markus

引用次数: 0

Towards Fault Tolerance Management Systems in SDN 浅谈SDN中的容错管理系统

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.033

M. Mbodila

{"title":"Towards Fault Tolerance Management Systems in SDN","authors":"M. Mbodila","doi":"10.59200/iconic.2022.033","DOIUrl":"https://doi.org/10.59200/iconic.2022.033","url":null,"abstract":"The issue of network operation, monitoring, and availability in traditional network environments has been one of the major challenges to addressing network administrators' struggles to deal with. The capacity for the network to comprehend the status and the performance of every node has been one of the priorities amongst others for network administrators to protect during troubleshooting in their network. However, the growing use of software-defined networks (SDN) technologies, as well as virtualization, pave the way to the solution of network operation, monitoring, and availability of hardware and services in a network environment. SDN has emerged with a novel paradigm of network abstractions that is dynamic, able to monitor network performance and fault management automatically, using its programmable capability. This paper presents a design of a fault tolerance management system for SDN controller framework for small to medium sized networks capable of detecting controller faults and nodes/links faultsin case entire network access is unavailable. The fault management system applies various approaches for fault detection and recovery to ensure the reliability and availability of the network resources.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128340919","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 Exploration of the Adoption of DNSSEC by Businesses within the Norwegian ccTLD 挪威ccTLD内企业采用DNSSEC的探索

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.003

B. Irwin, Christoffer Thorske Johnsen

引用次数: 0

Development of an Unmanned Aerial Vehicle incorporating a Convolutional Neural Network for Weed Detection 基于卷积神经网络的杂草检测无人机的研制

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.012

Ledile Mathipa, U. Ukaegbu, L. Tartibu

引用次数: 0

A Framework for the Development of Human Centred ICT4D Initiatives: A Capability Approach Perspective 以人为本的ict - 4d发展框架:能力方法视角

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.031

L. Grobbelaar

{"title":"A Framework for the Development of Human Centred ICT4D Initiatives: A Capability Approach Perspective","authors":"L. Grobbelaar","doi":"10.59200/iconic.2022.031","DOIUrl":"https://doi.org/10.59200/iconic.2022.031","url":null,"abstract":"The term “development” is often used concomitantly with Information Technology for Development (ICT4D) and Information Systems for Development (ISD4D) initiatives in discussions related to these fields. Development as an outcome is often pursued through ICT mechanisms without questioning the assumptions about its contribution to human development. Development, as a construct, has been the subject of increasing debate in the ICT4D research community, and is especially fuelled by the current global economic uncertainty. It is when the paradigm of development is shifted away from the predominant Western theory of development, as postulated by many economic development theorists, as well as other development theories, such as utilitarianism, for example, that new development outcomes can be explored. One such outcome is the result of a human centred development approach, where well-being and human development form the focal point of ICT initiative outcomes. The Capability Approach (CA), developed and promulgated by Nobel Prize laureate Amartya Sen, provides an operationalizable framework that views development as human development and having or obtaining certain freedoms. The CA affords the observer the opportunity to assert the social dimension of development and, in the case of this study, that of a rural community in South Africa, with the ICT4D artifact delineated to mobile health, or mHealth.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134389125","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