International Conference on Intelligent and Innovative Computing Applications最新文献_第3页

A Real-Time Notification System for Traffic Congestion on South African National Routes 南非国道交通拥堵实时通知系统

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.009

Makhulu R. Langa, Michael N. Moeti

引用次数: 0

Evaluation of Mauritian IPv4 address space within Internet Background Radiation data 评估毛里求斯IPv4地址空间在互联网背景辐射数据

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.011

B. Irwin

引用次数: 1

Spectrum Optimization of Low Power Wide Area Network Utilization in Smart Cities 智慧城市低功耗广域网利用的频谱优化

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.028

J. Fadeyi, Markus Elisha

引用次数: 0

An Ontology Based Knowledge Representation for Coordinated SS-bots 基于本体的协同ss机器人知识表示

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.024

C. Chibaya, S. Verkijika, K. Madzima, L. Makhoere, F. Matsebula, A. Mwanza, A. Whata

引用次数: 0

The use of Software as a Service to improve the Dynamic Capabilities of South African Small and Medium Enterprises 利用软件即服务提高南非中小企业的动态能力

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.021

Penuel Makelana, R. Kekwaletswe, Mmatshuene Anna Segooa

{"title":"The use of Software as a Service to improve the Dynamic Capabilities of South African Small and Medium Enterprises","authors":"Penuel Makelana, R. Kekwaletswe, Mmatshuene Anna Segooa","doi":"10.59200/iconic.2022.021","DOIUrl":"https://doi.org/10.59200/iconic.2022.021","url":null,"abstract":"Business aspects such as sales, human resources management (HRM), marketing, accounting, and customer relationship management (CRM) are important for Small and Medium Enterprises (SMEs). Therefore, it is anticipated that SMEs will get to benefit from using innovative technologies (IT) such as Software as a Service (SaaS). SaaS is a Cloud Computing model where applications, resources, and services are provided by the service provider (SP) to SMEs and accessed via the internet. SaaS may transform SMEs. One of the major benefits of SaaS is its dynamic capabilities. Despite the benefits of SaaS, the utilization of this technology in SMEs, particularly in developing countries is still limited. This research study aims to develop a conceptual model for the use of SaaS to improve the dynamic capabilities of South African SMEs. In this study, the theory of Technology-Task-Fit (TTF) will be adopted and used to underpin the study. A positivist research paradigm will be adopted. The study will use a quantitative research approach and data will be collected from 344 SME managers in South Africa using a questionnaire. Structural equation modeling (SEM) will be applied in this study to analyze the data.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"34 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":"132929941","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 Analysis of a GPT-based Sepedi Text Generation Model 基于gpt的Sepedi文本生成模型分析

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.016

Mercy M. Moila, T. Modipa, Jonas Manamela

引用次数: 0

Exploring the Intelligent Attributes of Industrial 4.0: The Next Revolution and Beyond 探索工业4.0的智能属性:下一次革命及以后

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.004

H. O. Omoregbee, M. U. Olanipekun

{"title":"Exploring the Intelligent Attributes of Industrial 4.0: The Next Revolution and Beyond","authors":"H. O. Omoregbee, M. U. Olanipekun","doi":"10.59200/iconic.2022.004","DOIUrl":"https://doi.org/10.59200/iconic.2022.004","url":null,"abstract":"Industry 4.0 places a strong emphasis on connection, automation, machine learning and real-time data. With these descriptions, intelligent/smart manufacturing that incorporates people, technology, and other resources has undergone a significant revolution leading the globe to the new era of Industry 5.0. Responding to disruption by employing intuition to decide what to do in a changing circumstance has grown to be highly attractive and exciting, even when it has never been utilized before. The domains of modern intelligent systems and computers have also made major strides in recent years. Examples include soft computing, computational intelligence, which encompasses evolutionary computing, neural networks, fuzzy systems, and the fusion of various paradigms. Others include immune-based systems, ambient intelligence, cognitive science, computational neuroscience and systems, perspective and vision, DNA, intelligent decision-making, and support etc. This technological breakthrough has also made room for new and emerging technologies that offer important advantages including extreme low latency, highly reliable connections, sufficient bandwidth, ample data storage, and powerful processing capabilities. This paper provides a comprehensive overview of what smart/intelligent systems include, as was observed in an ongoing project where such devices were designed, and what to anticipate from the 4.0, 5.0, and 6.0 industrial revolutions.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"32 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":"131875773","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 review on the criteria for adoption of cloud computing in South African Institutions and Business enterprises 对南非机构和商业企业采用云计算标准的审查

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.017

Motlokwe Thobejane, Hope Mogale, M. Esiefarienrhe

{"title":"A review on the criteria for adoption of cloud computing in South African Institutions and Business enterprises","authors":"Motlokwe Thobejane, Hope Mogale, M. Esiefarienrhe","doi":"10.59200/iconic.2022.017","DOIUrl":"https://doi.org/10.59200/iconic.2022.017","url":null,"abstract":"Cloud computing has taken over the IT industry. Big enterprises such as Oracle, Microsoft and Amazon have developed world class state of the art products and services for Cloud Computing. These products serve and the needs and power many corporations, business institutions and enterprises across the world. Cloud computing is continuing to growing and attracting more businesses and birthing and transforming industries such as music streaming and online gaming. As we progress and move towards a 5G and become a 4th industrial society more cloud computing products and services will be developed and used. However, there are many issues that arise such as stability, reliability, security and fraud. Addressing these problems introduces complexity towards adopting cloud comput ing for small business enterprises leaving only big enterprises to be able to afford reliable cloud computing products. There are many outstanding works that have been previously published by scholars on cloud computing. This research paper provides a systematic review and a summary of some the outstanding works of scholars recently published and the different criterias used for clouding computing adoption by South African Institutions and Business enterprises.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"115 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":"122411056","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

Development of a Smart Tourism Information Chatbot for Mauritius 毛里求斯智能旅游信息聊天机器人的开发

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.013

Patrick Steven Siaw Chock Chiong, A. Seeam, Preetila Seeam

引用次数: 0

Cryptojacking Malware Detection in Docker Images Using Supervised Machine Learning 使用监督机器学习在Docker图像中检测加密劫持恶意软件

International Conference on Intelligent and Innovative Computing Applications Pub Date : 2022-12-31 DOI: 10.59200/iconic.2022.006

S. Saide, Ednilson Luis Alfredo Sarmento, Felermino M. D. A. Ali

{"title":"Cryptojacking Malware Detection in Docker Images Using Supervised Machine Learning","authors":"S. Saide, Ednilson Luis Alfredo Sarmento, Felermino M. D. A. Ali","doi":"10.59200/iconic.2022.006","DOIUrl":"https://doi.org/10.59200/iconic.2022.006","url":null,"abstract":"Nowadays, Docker Containers are currently being adopted as industry standards for software delivery, because they provide quick and responsive delivery and handle performance and scalability challenges. However, attackers are exploiting them to introduce malicious instructions in publicly available images to perform unauthorized use of third-party’s computer resources for Cryptojacking. We developed a machine learning based model to detect Docker images that lead to cryptojacking. The dataset used is composed of 800 Docker images collected from Docker hub, half of which contains instructions for cryptomining, and the other half does not contain such instructions. We trained 10 classification algorithms and evaluated them using the K-Fold Cross Validation approach. The results showed accuracy scores ranging from 89% to 97%. Stochastic Gradient Descent for Logistic Regression outperformed the other algorithms reaching an accuracy score of 97%. With these results, we conclude that machine learning algorithms can detect Docker images carrying cryptojacking malware with a good performance.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"23 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":"129689693","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