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A New Encryption-Based Algorithm for Embedded Image Steganography 基于加密的嵌入式图像隐写术新算法
Q2 Decision Sciences Pub Date : 2024-07-24 DOI: 10.4018/ijskd.349224
Ali Mohammed Abed, Houcemeddine Hermassi, Walid Barhoumi
This journal paper deals with Steganography technique which is a method for hiding secret communications inside a cover object during sender-receiver communication. From ancient times to the present, the security of secret information has been a key concern. It has long been an area of interest for researchers to create mechanisms for sending data without disclosing it to anybody other than the intended receiver. To facilitate the safe transport of data, researchers have periodically created a variety of approaches, including steganography. Using the synergies that may be obtained by combining cryptography with steganography. This paper's work seeks to improve an innovative approach for hiding a hidden message inside an image. This study developed a new encryption-based method for embedded image steganography, LSB with the RSA algorithm, to upsurge data security. These depicted results were subjected to the comparative analysis of the existing previous predictive models with the present proposed work which is superior to them.
这篇期刊论文论述的是隐写术(Steganography)技术,它是一种在发送方与接收方通信时将秘密通信内容隐藏在覆盖物中的方法。从古至今,秘密信息的安全性一直是人们关注的焦点。长期以来,研究人员一直关注如何建立一种机制,在发送数据的同时不向预定接收者以外的任何人泄露。为了促进数据的安全传输,研究人员不时创造出各种方法,包括隐写术。利用密码学与隐写术相结合可能产生的协同效应。本文的研究旨在改进一种将隐藏信息隐藏在图像中的创新方法。这项研究为嵌入式图像隐写术开发了一种基于加密的新方法,即使用 RSA 算法的 LSB,以提高数据的安全性。对这些描述的结果进行了比较分析,并将先前现有的预测模型与目前提出的工作进行了比较,后者优于前者。
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引用次数: 0
Breakthrough Barriers to Knowledge Sharing Using Modern Technologies in Academic Libraries in South Africa 南非学术图书馆利用现代技术突破知识共享的障碍
Q2 Decision Sciences Pub Date : 2024-07-17 DOI: 10.4018/ijskd.347380
Tlou Maggie Masenya
In an increasingly globalized and knowledge-based economy, this study aimed to investigate the adoption of modern technologies for effective knowledge sharing and enhancing knowledge access in academic libraries. The study was underpinned by the organizational knowledge creation theory (OKCT) and knowledge sharing model. The findings reveal that although modern technologies, such as the internet of things (IoT) and blockchain technologies, have been seen as suitable knowledge sharing strategies by many institutions, the level of their adoption is still low in academic libraries in South Africa, especially in the area of knowledge management. Several recommendations are thus made, and among others are the improvement of technology infrastructure and the enactment of policies for promoting knowledge management and sharing.
在日益全球化和以知识为基础的经济中,本研究旨在调查学术图书馆采用现代技术进行有效知识共享和加强知识获取的情况。研究以组织知识创造理论(OKCT)和知识共享模型为基础。研究结果表明,尽管物联网(IoT)和区块链技术等现代技术已被许多机构视为合适的知识共享策略,但在南非的学术图书馆中,尤其是在知识管理领域,采用这些技术的程度仍然很低。因此提出了若干建议,其中包括改善技术基础设施和制定促进知识管理与共享的政策。
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引用次数: 0
Stimulating the Post-COVID-19 Economic Recovery Scenarios to Evaluate Students' Understanding 激发 "COVID-19 "后经济复苏情景,评估学生的理解能力
Q2 Decision Sciences Pub Date : 2024-05-17 DOI: 10.4018/ijskd.343633
Orkida Ilollari, Petraq Papajorgji, Ardian Civici
This study presents a simulation of economic scenarios using Mind Genomics to evaluate the maturity and ability of students involved in the master's and bachelor's programs to make sound decisions. A third group of specialists in economics is added to the study to evaluate differences among these groups. A comprehensive investigation of the current literature is undertaken to comprehend how different studies have dealt with the issue of the post-COVID-19 recovery process. Literature findings are used to design the Mind Genomics experiment and enable comparisons of student responses with literature findings. The study shows that, in general, master students converge with specialists in economics. The study shows some discrepancies in the scenario-evaluation process between master's and bachelor's students. Finally, recommendations for program examination and potential improvements are suggested to further align the teaching process to market scenarios.
本研究利用 "心智基因组学 "对经济情景进行了模拟,以评估参与硕士和学士课程的学生在做出正确决策方面的成熟度和能力。研究中还加入了第三组经济学专家,以评估这些群体之间的差异。我们对当前的文献进行了全面调查,以了解不同的研究是如何处理后 COVID-19 恢复过程这一问题的。文献研究结果被用于设计 Mind Genomics 实验,并将学生的反应与文献研究结果进行比较。研究表明,总体而言,硕士生与经济学专家的观点趋同。研究表明,硕士生和本科生在情景评价过程中存在一些差异。最后,提出了课程检查和潜在改进的建议,以进一步使教学过程与市场情景相一致。
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引用次数: 0
The Impact of the Double Reduction Policy on the Educational Anxiety of Parents Under Big Data 大数据下双减政策对家长教育焦虑的影响
Q2 Decision Sciences Pub Date : 2024-04-24 DOI: 10.4018/ijskd.342131
Huiyun Yang
In the context of the “double reduction” policy, using big data to carry out precision teaching is an effective way to improve the quality of teaching in schools and reduce the burden on teachers and students and increase efficiency. The formal implementation of the “double reduction” policy has not only reduced students' academic burden, but also increased students' spare time. However, according to relevant data, the current level of anxiety among parents about their children's education is still high, and different parents have different levels of education anxiety. In order to study the impact of the “double reduction” policy on the educational anxiety of parents of primary and secondary school students in the context of big data, this article puts forward some suggestions related to eliminating the educational anxiety of primary school parents based on the existing problems and their causes, so as to create a good educational atmosphere.
在 "双减 "政策背景下,利用大数据开展精准教学,是提高学校教学质量、减轻师生负担、提高教学效率的有效途径。"双减 "政策的正式实施,不仅减轻了学生的课业负担,还增加了学生的课余时间。然而,据相关数据显示,当前家长对子女教育的焦虑程度仍然较高,不同家长的教育焦虑程度不同。为了研究大数据背景下 "双减 "政策对中小学生家长教育焦虑的影响,本文根据目前存在的问题及其原因,提出了一些消除小学生家长教育焦虑的相关建议,以营造良好的教育氛围。
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引用次数: 0
The Mediation Role of Technology Systems in the Relationship Between Education Technology Antecedents on Student Satisfaction 技术系统在教育技术先决条件与学生满意度之间关系中的中介作用
Q2 Decision Sciences Pub Date : 2024-02-26 DOI: 10.4018/ijskd.339566
Haytham Youssef Darwish, Mahmoud Farouk, Mohammed Abdelsalam
The purpose of this paper is to explore the influence of education technology antecedents and perceptions of usefulness and ease of use of educational technology systems on attitudes towards computer-based teaching in Egyptian universities. The study is built upon on deductive quantitative approach where structured questionnaires were designed and distributed to the students in Egyptian universities. Results based on SEM analysis identify that the technology dimension partially affects the design dimension, as well there is a partially significant association between the technology dimension and attitude towards technology-based teaching. While the design dimension does not have a significant association with attitude towards technology-based teaching, attitude towards technology-based teaching does not have a significant relationship with student satisfaction. Furthermore, there is a partially significant association between course dimensions and student satisfaction.
本文旨在探讨教育技术的先决条件以及教育技术系统的实用性和易用性对埃及大学计算机辅助教学态度的影响。本研究以演绎定量法为基础,设计并向埃及大学的学生发放了结构化问卷。基于 SEM 分析的结果表明,技术维度对设计维度有部分影响,技术维度与对基于技术的教学的态度之间也有部分显著关联。设计维度与技术教学态度之间没有显著关联,而技术教学态度与学生满意度之间也没有显著关联。此外,课程维度与学生满意度之间也存在部分显著关联。
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引用次数: 0
The Dilemma of the Copyrights of Artificial Intelligence 人工智能版权的困境
Q2 Decision Sciences Pub Date : 2024-02-07 DOI: 10.4018/ijskd.336920
M. Albakjaji, Reem Almarzouqi
Artificial intelligence (AI) and intellectual property (IP) share some key similarities, such as uncertainty in predictions, processing a massive amount of data, and machine learning. Yet, they also differ from each other. This paper provides background information on how these two domains have evolved over time. It also highlights how Saudi Arabia's IP system differs from those of other countries. Furthermore, this article explores the relationship between AI and IP and their application in copyright. This study is significant as it helps identify the challenges and opportunities that AI presents with respect to IP in terms of copyright. Finally, this article makes recommendations that will help protect both AI and IP.
人工智能(AI)和知识产权(IP)有一些关键的相似之处,如预测的不确定性、处理海量数据和机器学习。然而,它们之间也存在差异。本文提供了这两个领域随着时间的推移如何演变的背景信息。本文还强调了沙特阿拉伯的知识产权制度与其他国家的知识产权制度有何不同。此外,本文还探讨了人工智能与知识产权之间的关系及其在版权方面的应用。这项研究意义重大,因为它有助于确定人工智能在版权方面给知识产权带来的挑战和机遇。最后,本文提出了有助于保护人工智能和知识产权的建议。
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引用次数: 0
The Dilemma of the Copyrights of Artificial Intelligence 人工智能版权的困境
Q2 Decision Sciences Pub Date : 2024-02-07 DOI: 10.4018/ijskd.336920
M. Albakjaji, Reem Almarzouqi
Artificial intelligence (AI) and intellectual property (IP) share some key similarities, such as uncertainty in predictions, processing a massive amount of data, and machine learning. Yet, they also differ from each other. This paper provides background information on how these two domains have evolved over time. It also highlights how Saudi Arabia's IP system differs from those of other countries. Furthermore, this article explores the relationship between AI and IP and their application in copyright. This study is significant as it helps identify the challenges and opportunities that AI presents with respect to IP in terms of copyright. Finally, this article makes recommendations that will help protect both AI and IP.
人工智能(AI)和知识产权(IP)有一些关键的相似之处,如预测的不确定性、处理海量数据和机器学习。然而,它们之间也存在差异。本文提供了这两个领域随着时间的推移如何演变的背景信息。本文还强调了沙特阿拉伯的知识产权制度与其他国家的知识产权制度有何不同。此外,本文还探讨了人工智能与知识产权之间的关系及其在版权方面的应用。这项研究意义重大,因为它有助于确定人工智能在版权方面给知识产权带来的挑战和机遇。最后,本文提出了有助于保护人工智能和知识产权的建议。
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引用次数: 0
Role of HRM Practices in Organization Performance 人力资源管理实践在组织绩效中的作用
Q2 Decision Sciences Pub Date : 2023-12-01 DOI: 10.4018/ijskd.334555
Lawrence Arokiasamy, Takemi Fujikawa, S. Piaralal, Thilageswary Arumugam
In recent years, HRM has received a lot of traction. Human resource management is essential for all types of enterprises. The bulk of research indicates that HRM and organizational performance have a positive link. Each organization's main goal is to attain high levels of performance in its goals and objectives. In this paper, HRM and practices were investigated. What part do human resources play in achieving organizational objectives? This survey will also evaluate HRM practices by analyzing the 40 papers that have been submitted. In addition, this article offers a thorough examination of the chronological assessment based on each publication. In addition, the results of each research paper's analysis are displayed. A review of the literature was utilized to focus on and review the issue knowledge in this study. Finally, it expands on many research concerns that may be useful to researchers in doing more studies on HRM practices.
近年来,人力资源管理受到了很多关注。人力资源管理对各类企业来说都是必不可少的。大量的研究表明,人力资源管理和组织绩效有一个积极的联系。每个组织的主要目标都是在其目标和宗旨中达到高水平的绩效。本文对人力资源管理和实践进行了研究。人力资源在实现组织目标中起什么作用?该调查还将通过分析已提交的40篇论文来评估人力资源管理实践。此外,本文还提供了基于每个出版物的时间顺序评估的全面检查。此外,还显示了每篇研究论文的分析结果。通过文献综述,对本研究的问题知识进行了关注和回顾。最后,它扩展了许多研究关注,可能对研究人员在人力资源管理实践方面做更多的研究有用。
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引用次数: 0
Legal View on Blockchain Technologies in Healthcare 医疗区块链技术的法律视角
Q2 Decision Sciences Pub Date : 2023-11-01 DOI: 10.4018/ijskd.333154
Ghazi Farouk, Tareck Alsamara
This article presents an in-depth study of the legal landscape surrounding blockchain technology in the healthcare sector, with a special focus on case studies from European countries. Analyzing the existing legal framework and regulations, the research highlights the challenges and opportunities associated with the adoption of blockchain in healthcare. The most important research areas are data protection, security, consent, liability, and compliance. Through a comparative analysis of various European countries, the article illuminates the differences in legal approaches and points out possible areas of harmonization. The results clarify the legal aspects that must be addressed to ensure the integration of blockchain technology into healthcare systems, innovation while protecting patients' rights, and compliance with regulatory requirements.
本文对医疗保健领域区块链技术的法律环境进行了深入研究,特别关注欧洲国家的案例研究。该研究分析了现有的法律框架和法规,强调了在医疗保健领域采用区块链所带来的挑战和机遇。最重要的研究领域是数据保护、安全、同意、责任和合规。本文通过对欧洲各国的比较分析,阐明了各国在法律途径上的差异,并指出了可能的协调领域。研究结果阐明了必须解决的法律问题,以确保将区块链技术整合到医疗保健系统中,在保护患者权利的同时进行创新,并遵守监管要求。
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引用次数: 0
Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images 基于混合遗传算法的肺部疾病图像特征选择与分类
Q2 Decision Sciences Pub Date : 2023-09-12 DOI: 10.4018/ijskd.330150
S. Nivetha, H. Hannah Inbarani
The difficulty in predicting early cancer is due to the lack of early illness indicators. Metaheuristic approaches are a family of algorithms that seek to find the optimal values for uncertain problems with several implications in optimization and classification problems. An automated system for recognizing illnesses can respond with accuracy, efficiency, and speed, helping medical professionals spot abnormalities and lowering death rates. This study proposes the Novel Hybrid GAO (Genetic Arithmetic Optimization algorithm based Feature Selection) (Genetic Arithmetic Optimization Algorithm-based feature selection) method as a way to choose the features for several machine learning algorithms to classify readily available data on COVID-19 and lung cancer. By choosing just important features, feature selection approaches might improve performance. The proposed approach employs a Genetic and Arithmetic Optimization to enhance the outcomes in an optimization approach.
预测早期癌症的困难是由于缺乏早期疾病指标。元启发式方法是一类寻找不确定问题的最优值的算法,在优化和分类问题中具有多种含义。识别疾病的自动化系统可以准确、高效、快速地做出反应,帮助医疗专业人员发现异常情况,降低死亡率。本研究提出了基于遗传算法优化算法的Feature Selection (Novel Hybrid GAO)方法,作为几种机器学习算法的特征选择方法,用于对COVID-19和肺癌的现成数据进行分类。通过只选择重要的特征,特征选择方法可以提高性能。该方法采用遗传优化和算术优化来提高优化方法的结果。
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引用次数: 0
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International Journal of Sociotechnology and Knowledge Development
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