SAIEE Africa Research Journal最新文献

{"title":"Multiauthority KP-ABE access model with elliptic curve cryptography","authors":"A. Ferrer-Rojas;B. T. J. Maharaj","doi":"10.23919/SAIEE.2025.10852573","DOIUrl":"https://doi.org/10.23919/SAIEE.2025.10852573","url":null,"abstract":"The rapid and expansive integration of Internet of Things (IoT) environments across various industrial sectors has led to an unprecedented surge in data generation and management. This exponential growth in data underscores the critical necessity for robust data security methodologies that can effectively safeguard the confidentiality and integrity of information without imposing undue computational burdens. In response to this challenge, numerous studies have sought to leverage Attribute-Based Encryption (ABE) as a means to enable fine-grained access control. Among the ABE variants, Ciphertext Policy ABE (CP-ABE) and bilinear pairings have emerged as popular choices to construct security schemes that strike a balance between robust protection and computational efficiency. Despite the advancements achieved through CP-ABE and bilinear pairings, a prevalent concern arises in the utilization of Linear Secret Sharing Scheme (LSSS) access policies. LSSS policies, while providing a flexible and expressive way to define access controls, can significantly impact the execution time of encryption methods. This study recognizes the importance of addressing this challenge and explores the potential of employing a Key Policy Attribute-Based Encryption (KP-ABE) approach. The primary objective is to mitigate the computational overhead associated with encryption methods, thereby enhancing the efficiency of data security measures within IoT environments. Furthermore, this research delves into the incorporation of Elliptic Curve Cryptography (ECC) to generate cryptographic keys. ECC, known for its strong security properties and computational efficiency, is considered a promising approach to bolster data security while concurrently minimizing computational overhead. By integrating KP-ABE with ECC, this study aims to offer a comprehensive solution that ensures robust security measures within the intricate landscape of IoT environments. Through detailed analysis and empirical investigation, the research endeavors to contribute valuable insights to the ongoing discourse on securing IoT data in a manner that aligns with the dual imperatives of security and computational efficiency.","PeriodicalId":42493,"journal":{"name":"SAIEE Africa Research Journal","volume":"116 2","pages":"59-67"},"PeriodicalIF":1.0,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10852573","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editors and reviewers","authors":"","doi":"10.23919/SAIEE.2025.10852569","DOIUrl":"https://doi.org/10.23919/SAIEE.2025.10852569","url":null,"abstract":"","PeriodicalId":42493,"journal":{"name":"SAIEE Africa Research Journal","volume":"116 2","pages":"44-44"},"PeriodicalIF":1.0,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10852569","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Notes for authors","authors":"","doi":"10.23919/SAIEE.2025.10852565","DOIUrl":"https://doi.org/10.23919/SAIEE.2025.10852565","url":null,"abstract":"","PeriodicalId":42493,"journal":{"name":"SAIEE Africa Research Journal","volume":"116 2","pages":"79-79"},"PeriodicalIF":1.0,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10852565","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Common phenomena exhibited by students in their individual design processes: A multi-scenario case study on software design education","authors":"T. Fu;R. Sun;C. Li;L. Wang","doi":"10.23919/SAIEE.2025.10852572","DOIUrl":"https://doi.org/10.23919/SAIEE.2025.10852572","url":null,"abstract":"Cultivating students' software design capabilities through effective training has always been a challenge in software education. This paper is aimed at addressing this issue by adopting a multi-scenario case study approach to examine the independent design processes of 23 undergraduate students on an online teaching system. The selected case scenario models include transaction flow diagrams (TFDs), activity diagrams, sequence diagrams, and entity-relationship (ER) diagrams. By analyzing students' behavioral performances and design outcomes, a series of common phenomena are identified. These phenomena encompass common errors, such as overlooking key steps, struggling to distinguish similar data objects, and omitting critical entities or attributes. Common behaviors include offering various solutions, facing challenges in achieving specific design goals due to a lack of prior experience, and experiencing difficulties meeting requirements using prescribed syntax. Common approaches to assist students include providing reference software, adopting teamwork for idea generation, and allowing iterative modifications to improve outcomes. Based on these common phenomena exhibited by students, several recommendations are provided for software educators to enhance the development of students' software design capabilities, which mainly include considering students' prior experience in assignments, providing design references for unfamiliar software, encouraging peer discussions and multiple iterations, and guiding students towards continuous improvement rather than disregarding unconventional outcomes. The common phenomena identified in this paper seamlessly integrate with software design education, reflecting its distinct characteristics. Those common phenomena will help researchers understand student needs and challenges. Additionally, the research design, which analyzes student behaviors based on their software design outcomes, provides a fresh perspective in the field. Furthermore, the conclusions drawn in this paper offer valuable insights for educators who aim to enhance classroom experiences in software design courses.","PeriodicalId":42493,"journal":{"name":"SAIEE Africa Research Journal","volume":"116 2","pages":"46-58"},"PeriodicalIF":1.0,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10852572","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydrogen for a sustainable tomorrow: Evaluating the financial and technical dimensions of green hydrogen production in South Africa — A case study in Ethekwini muncipality","authors":"U. Pillay;M. F. Khan","doi":"10.23919/SAIEE.2025.10852566","DOIUrl":"https://doi.org/10.23919/SAIEE.2025.10852566","url":null,"abstract":"Green hydrogen has emerged as a prominent approach in an effort to mitigate global warming. Given the urgency of addressing the climate change crisis and mitigating global warming, there is an increasing emphasis on curtailing carbon dioxide emissions. This can be achieved through the production of green hydrogen. While there are various renewable power supply options capable of being utilized for producing green hydrogen, this research focuses solely on offshore wind, photovoltaics (PV), and a hybrid solution due to eThekwini's perceived abundance of solar radiation and extensive coastlines with ample wind resources, making it highly conducive to renewable energy generation. This paper initially introduces the concept of Green Hydrogen production and outlines the methodology employed to assess the viability of hydrogen production from various potential sources. Additionally, the energy requirements for a typical hydrogen plant are determined, along with a brief discussion on potential sites. In this case study, an energy yield assessment was conducted for PV, offshore wind, and a proposed hybrid model to determine the most beneficial source and identify any technical issues that may arise from the utilization of the considered power supplies. Finally, a high-level financial assessment assessing the project's financial viability is described.","PeriodicalId":42493,"journal":{"name":"SAIEE Africa Research Journal","volume":"116 2","pages":"68-78"},"PeriodicalIF":1.0,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10852566","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements in electrical marine propulsion technologies: A comprehensive overview","authors":"N. Arish;M. J. Kamper;R. J. Wang","doi":"10.23919/SAIEE.2025.10755059","DOIUrl":"https://doi.org/10.23919/SAIEE.2025.10755059","url":null,"abstract":"The shipping industry is shifting towards efficient and environmentally friendly propulsion systems to reduce costs and ecological impact. Traditional diesel engines, predominant in maritime operations, face challenges of high operating costs and environmental pollution, prompting the exploration of alternatives. Electric propulsion emerges as a promising solution, offering cost reduction and environmental preservation through reduced noise, This paper reviews electric ship propulsion systems and compares various marine propulsion systems, including in-hull, azimuth, and POD propulsion, with an emphasis on the latest POD systems. Specifically, it analyzes AZIPOD (ABB) and Mermaid (Rolls-Royce) propulsion systems in terms of motor type, cooling system, and power range. Additionally, the paper provides insights into the electrical components of POD propulsion, and the latest technology in ship propulsion, such as transformers, frequency converters, and propulsion motors, and explores redundancy in ship propulsion systems. It offers a detailed comparison of different electric motors, including DC motors, induction motors, superconducting motors, synchronous motors, and permanent magnet motors, discussing the advantages and disadvantages of each. This comprehensive review underscores the potential of electric propulsion systems to transform the maritime industry toward sustainability and efficiency.","PeriodicalId":42493,"journal":{"name":"SAIEE Africa Research Journal","volume":"116 1","pages":"14-29"},"PeriodicalIF":1.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10755059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editors and reviewers","authors":"","doi":"10.23919/SAIEE.2025.10755054","DOIUrl":"https://doi.org/10.23919/SAIEE.2025.10755054","url":null,"abstract":"","PeriodicalId":42493,"journal":{"name":"SAIEE Africa Research Journal","volume":"116 1","pages":"2-2"},"PeriodicalIF":1.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10755054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Notes for authors","authors":"","doi":"10.23919/SAIEE.2025.10755055","DOIUrl":"https://doi.org/10.23919/SAIEE.2025.10755055","url":null,"abstract":"","PeriodicalId":42493,"journal":{"name":"SAIEE Africa Research Journal","volume":"116 1","pages":"41-41"},"PeriodicalIF":1.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10755055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction techniques for power plant failure and availability: A concise systematic review","authors":"Bathandekile M. Boshoma;Peter O. Olukanmi","doi":"10.23919/SAIEE.2025.10755051","DOIUrl":"https://doi.org/10.23919/SAIEE.2025.10755051","url":null,"abstract":"Electricity demand continues to exceed supply in many sub-Saharan countries like South Africa, and frequent plant failures further reduce energy availability. To address this issue, it is essential to proactively predict plant failures and inform decisions on when to plan for outages. Given a myriad of prediction techniques, this study systematically analyzed various literature to provide a collective view of prediction approaches, their use cases, and context. Following the PRISMA guideline, relevant literature was searched using the Scopus database, and retrieved from the corresponding publisher sites. The selected studies focused on predicting the unplanned capability loss factor or the availability of power plants within the electricity industry domain. A thematic analysis was performed to identify emerging patterns related to current knowledge. Results revealed that prediction studies focus more on predicting availability than failure in coal-fired plants. The prediction horizon is mainly short-term, mostly in renewable plant. Artificial neural network, Bayesian analysis, and fuzzy rules are the prevalent technique found in most studies. Scholars and researchers can benefit from this study as it provided a simplified summary of power plant prediction techniques in a consolidated view.","PeriodicalId":42493,"journal":{"name":"SAIEE Africa Research Journal","volume":"116 1","pages":"30-39"},"PeriodicalIF":1.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10755051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-time recognition and translation of Kinyarwanda sign language into Kinyarwanda text","authors":"Erick Semindu;Christine Niyizamwiyitira","doi":"10.23919/SAIEE.2025.10755056","DOIUrl":"https://doi.org/10.23919/SAIEE.2025.10755056","url":null,"abstract":"Despite significant technological advancements, there continues to be a considerable communication gap between individuals with hearing disabilities and the rest of society. This gap is exacerbated by the fact that the development and research of technologies, such as caption glasses, aimed at bridging this divide, primarily focus on sign languages used in countries with prominent tech industries, including European countries and USA. Consequently, there is a lack of resources and attention devoted to sign language recognition and translation systems for languages spoken in Africa. This research addresses this issue by concentrating on twenty-two common gestures in Kinyarwanda sign language. Through extensive exploration and evaluation of various machine learning algorithms, the study identifies the most effective approach for recognizing and translating these gestures. To validate the effectiveness of the developed system, real-world Kinyarwanda sign language video data is utilized for thorough training and testing. The research successfully culminates in the creation of a functional web application capable of accurately recognizing the 22 Kinyarwanda sign language gestures, both in live video feeds and recorded videos. This achievement represents a significant outcome of the research, as it addresses the specific needs of the Kinyarwanda signing community. By providing a reliable and accessible tool for gesture recognition and translation, the research contributes to narrowing the communication gap between individuals with hearing disabilities who use Kinyarwanda sign language and the wider society.","PeriodicalId":42493,"journal":{"name":"SAIEE Africa Research Journal","volume":"116 1","pages":"4-13"},"PeriodicalIF":1.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10755056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}