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Artificial Intelligence (AI) Model Development Framework for the Protection of State Borders, with a Focus on Analyzing Behavioral Patterns 保护国家边界的人工智能(AI)模型开发框架,重点分析行为模式
Pub Date : 2024-03-24 DOI: 10.34257/gjcstgvol24is1pg1
Amirali Kerimovs
This study explores the development and implementation of an artificial intelligence (AI) model designed to predict illegal border crossing locations, thereby enhancing the effectiveness of national border security measures. By integrating and analyzing diverse data sources, -including satellite imagery, social media, and environmental factors, -this AI model aims to identify potential migration patterns and high-risk areas for illegal crossing. This research highlights the model's ability to provide real-time risk assessments, offering a novel approach to border security that surpasses traditional methods in terms of both efficiency and cost-effectiveness. The model's adaptability, continuous learning capabilities, and user-friendly interfaces ensure its relevance in addressing contemporary border-security challenges. This article contributes to the ongoing discourse on the application of AI in national security by proposing a solution that leverages technology for improved coordination among immigration services, government organizations, and international bodies.
本研究探讨了人工智能(AI)模型的开发和实施,该模型旨在预测非法越境地点,从而提高国家边境安全措施的有效性。通过整合和分析各种数据源,包括卫星图像、社交媒体和环境因素,该人工智能模型旨在识别潜在的移民模式和非法越境的高风险区域。这项研究强调了该模型提供实时风险评估的能力,为边境安全提供了一种新方法,在效率和成本效益方面都超越了传统方法。该模型的适应性、持续学习能力和用户友好界面确保了其在应对当代边境安全挑战方面的实用性。本文提出了一种利用技术改善移民服务、政府组织和国际机构之间协调的解决方案,为当前有关人工智能在国家安全领域应用的讨论做出了贡献。
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引用次数: 0
Utilise 5G Mobile Handset as DAO and Node in Layer 1 Proof of Authority Blockchain 利用 5G 移动手机作为第 1 层权威证明区块链中的 DAO 和节点
Pub Date : 2024-01-05 DOI: 10.34257/gjcsthvol23is3pg1
Frode van der Laak
As the demand for real-time, secure, and scalable transactions continues to rise, the intersection of 5G mobile connectivity and blockchain technology presents a promising solution. This paper proposes a novel approach to leverage the high-speed and low-latency capabilities of 5G mobile networks, integrating them as nodes in a Layer 1 Proof of Authority (PoA) blockchain architecture for microtransactions. Several advantages are achieved by utilising 5G mobile connections as nodes in the blockchain network. Firstly, the ultra-fast data transmission speeds and low network latency of 5G networks enhance the efficiency of blockchain transactions, enabling near-instantaneous settlement of microtransactions. Secondly, the distributed nature of the blockchain, combined with the security features provided by 5G networks, ensures a robust and tamper-proof transactional environment.
随着对实时、安全和可扩展交易的需求不断增加,5G 移动连接和区块链技术的交叉提供了一种前景广阔的解决方案。本文提出了一种利用 5G 移动网络的高速和低延迟功能的新方法,将其作为节点集成到用于微交易的第 1 层授权证明(PoA)区块链架构中。利用 5G 移动连接作为区块链网络中的节点可实现几个优势。首先,5G 网络的超快数据传输速度和低网络延迟提高了区块链交易的效率,使微交易的结算近乎瞬时。其次,区块链的分布式特性与 5G 网络提供的安全功能相结合,确保了交易环境的稳健性和防篡改性。
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引用次数: 0
Providing in RDBMSs the flexibility to Work with Various Non-Relational Data Models 在rdbms中提供使用各种非关系数据模型的灵活性
Pub Date : 2023-08-04 DOI: 10.34257/gjcsthvol23is2pg1
J. Tankoano
The inability of pure relational DBMSs to meet the new requirements of the applications that have emerged on the web has led to the advent of No SQL DBMSs. In the last few years, significant progress has been made in integrating into relational DBMSs the features that are essential to consider those new requirements that primarily concern flexibility, performance, horizontal scaling, and very high availability. This paper focuses on the features that can enable relational DBMSs to provide applications with the flexibility to work with various non-relational data models while providing the guarantees of independence, integrity, and performance of query evaluation.
纯关系dbms无法满足web上出现的应用程序的新需求,这导致了No SQL dbms的出现。在过去几年中,在将一些特性集成到关系dbms中取得了重大进展,这些特性对于考虑那些主要涉及灵活性、性能、水平扩展和非常高的可用性的新需求至关重要。本文重点介绍一些特性,这些特性使关系dbms能够为应用程序提供处理各种非关系数据模型的灵活性,同时保证查询评估的独立性、完整性和性能。
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引用次数: 0
Scalability and Performance of Microservices Architectures 微服务架构的可扩展性和性能
Pub Date : 2023-08-04 DOI: 10.34257/gjcsthvol23is2pg77
Amirali Kerimovs
The inevitability of continuous evolution and seamless integration of dynamic alterations remains a paramount consideration in the realm of software engineering. This concern is particularly pronounced within the context of contemporary microservices architectures embedded in heterogeneous and decentralized systems composed of numerous interdependent components. A pivotal focal point within such a software design paradigm is to sustain optimal performance quality by ensuring harmonious collaboration among autonomous facets within an intricate framework. The challenge of microservices evolution has predominantly revolved around upholding the harmonization of diverse microservices versions during updates, all while curbing the computational overhead associated with such validation. This study leverages previous research outcomes and tackles the evolution predicament by introducing an innovative formal model, coupled with a fresh exposition of microservices RESTful APIs. The amalgamation of Formal Concept Analysis and the Liskov Substitution Principle plays a pivotal role in this proposed solution. A series of compatibility constraints is delineated and subjected to validation through a controlled experiment employing a representative microservices system. The suggested approach is poised to enhance the development of more sustainable microservices applications and elevate the efficacy of DevOps practices engaged in the creation and upkeep of microservices architectures.
持续演进和无缝集成动态变化的必然性仍然是软件工程领域的首要考虑因素。在由众多相互依存的组件组成的异构分散系统中嵌入当代微服务架构的背景下,这一问题尤为突出。在这种软件设计范式中,一个关键的焦点是通过确保复杂框架内各自主层面之间的和谐协作来维持最佳的性能质量。微服务进化所面临的挑战主要是在更新过程中保持不同微服务版本之间的协调,同时降低与此类验证相关的计算开销。本研究利用先前的研究成果,通过引入创新的形式模型,结合对微服务 RESTful API 的全新阐述,解决了进化难题。形式概念分析与利斯科夫替代原则的结合在本解决方案中发挥了关键作用。通过采用具有代表性的微服务系统进行受控实验,划定了一系列兼容性约束条件,并对其进行了验证。所建议的方法有望促进更可持续的微服务应用程序的开发,并提高参与创建和维护微服务架构的 DevOps 实践的效率。
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引用次数: 0
Performance Study of Downlink Users in Non-Orthogonal Multiple Access (NOMA) for 5G Communications 5G通信非正交多址(NOMA)下行链路用户性能研究
Pub Date : 2023-08-01 DOI: 10.34257/gjcstevol23is1pg1
Mwewa Mabumba, S. Tembo, Lukumba Phiri
An outline of NOMA principles is provided in this article. Furthermore, this page discusses cooperative NOMA and its variations, explains power allocation in detail as a technique of resource allocation for NOMA, and gives an overview of the research challenges related to NOMA. We then, use a two-case scenario, to suggest a dynamic power allocation (DPA) plan for the downlink NOMA users, albeit it can also be expanded to many use cases. The DPA relies on channel state information (CSI) to guarantee the quality of service (QOS) for cell center customers (user c). The Outage probability (OP) as a critical performance criterion simulation data is also provided, and they demonstrate a notable performance improvement when DPA is employed compared to fixed power allocation.
本文概述了NOMA原则。此外,本页还讨论了合作NOMA及其变体,详细解释了作为NOMA资源分配技术的功率分配,并概述了NOMA相关的研究挑战。然后,我们使用一个两例场景来建议下行链路NOMA用户的动态功率分配(DPA)计划,尽管它也可以扩展到许多用例。DPA依赖于信道状态信息(CSI)来保证蜂窝中心客户(用户c)的服务质量(QOS),并提供了停机概率(OP)作为关键性能标准的仿真数据,与固定功率分配相比,采用DPA可以显着提高性能。
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引用次数: 1
Use of Design Sprint in PBL Modules– A Longitudinal Case Study Approach 在PBL模块中使用设计冲刺-纵向案例研究方法
Pub Date : 2023-05-20 DOI: 10.34257/gjcstcvol23is1pg7
Tharanga Peiris, Umanga Pilapitiya
Project Based Learning (PBL) modules have become an inevitable part in SE curriculums. Industry relevance of PBL mechanisms have further strengthened this crucial need. Design Sprint is well known as a PBL approach which enhances transferable skills in students. Design Sprint is also a widely used mechanism in software industry projects. Therefore, Design Sprint could be used to enhance the outcomes of SE undergraduate PBL projects. This study makes use of a longitudinal case study approach to investigate the effectiveness of using Design Sprint approach in a SE undergraduate module which used PBL. The study focusses a group of students (111) and academics (12) in SE degree program in a private higher education institute in Sri Lanka. Qualitative data gathered from the target audience in two distinctive occasions to investigate the effectiveness of Design Sprint in PBL projects. The results showcased that Design Sprint has a positive impact in improving performance criteria such as problem solving, teamwork, analytical skills, communication skills and acquiring new knowledge. The results indicated that majority of the students (more than 80%) had positive opinions about the Design Sprint. The academics further strengthened this finding as they also agree that there was a significant improvement in student performance in PBL projects after introducing Design Sprint mechanism.
基于项目的学习(Project Based Learning, PBL)模块已经成为SE课程中不可缺少的一部分。PBL机制的行业相关性进一步加强了这一关键需求。设计冲刺是众所周知的PBL方法,它提高了学生的可转移技能。设计冲刺也是软件行业项目中广泛使用的一种机制。因此,设计冲刺可以提高SE本科生PBL项目的成果。本研究采用纵向案例研究的方法,考察了设计冲刺方法在采用PBL的SE本科模块中的有效性。该研究以斯里兰卡一所私立高等教育机构的SE学位课程的一组学生(111)和学者(12)为研究对象。从两个不同场合的目标受众中收集的定性数据,以调查设计冲刺在PBL项目中的有效性。结果表明,设计冲刺对提高绩效标准有积极的影响,如解决问题、团队合作、分析能力、沟通能力和获取新知识。结果表明,大多数学生(超过80%)对Design Sprint持积极态度。学者们进一步强化了这一发现,他们也同意在引入设计冲刺机制后,学生在PBL项目中的表现有了显著的提高。
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引用次数: 0
A Combination of Data Augmentation Techniques for Mango Leaf Diseases Classification 结合数据增强技术进行芒果叶病分类
Pub Date : 2023-04-17 DOI: 10.34257/gjcstgvol23is1pg1
Demba Faye, I. Diop, N. Mbaye, Doudou Dione
Mango is one of the most traded fruits in the world. Therefore, mango production suffers from several pests and diseases which reduce the production and quality of mangoes and their price in the local and international markets. Several solutions for automatic diagnosis of these pests and diseases have been proposed by researchers in the last decade. These solutions are based on Machine Learning (ML) and Deep Learning (DL) algorithms. In recent years, Convolutional Neural Networks (CNNs) have achieved impressive results in image classification and are considered as the leading methods for image classification. However, one of the most significant issues facing mango pests and diseases classification solutions is the lack of availability of large and labeled datasets. Data augmentation is one of solutions that has been successfully reported in the literature. This paper deals with data augmentation techniques namely blur, contrast, flip, noise, zoom and affine transformation to know, on the one hand, the impact of each technique on the performance of a ResNet50 CNN using an initial small dataset, on the other hand, the combination between them which gives the best performance to the DL network. Results show that the best combination classifying mango leaf diseases is ‘Contrast & Flip & Affine transformation’ which gives to the model a training accuracy of 98.54% and testing accuracy of 97.80% with an f1_score > 0.9.
芒果是世界上交易量最大的水果之一。因此,芒果生产受到几种病虫害的影响,这些病虫害降低了芒果的产量和质量,降低了芒果在当地和国际市场上的价格。近十年来,研究人员提出了几种病虫害自动诊断的解决方案。这些解决方案基于机器学习(ML)和深度学习(DL)算法。近年来,卷积神经网络(cnn)在图像分类方面取得了令人瞩目的成绩,被认为是图像分类的主要方法。然而,芒果病虫害分类解决方案面临的最重要问题之一是缺乏可用的大型标记数据集。数据增强是文献中成功报道的解决方案之一。本文研究了模糊、对比度、翻转、噪声、缩放和仿射变换等数据增强技术,一方面了解了每种技术对初始小数据集ResNet50 CNN性能的影响,另一方面了解了它们之间的结合,使深度学习网络的性能达到最佳。结果表明,“对比&翻转&仿射变换”组合是分类芒果叶片病害的最佳组合,该模型的训练准确率为98.54%,测试准确率为97.80%,f1_score > 0.9。
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引用次数: 0
The Poetry of Prompts: The Collaborative Role of Generative Artificial Intelligence in the Creation of Poetry and the Anxiety of Machine Influence 提示的诗歌:生成式人工智能在诗歌创作中的协同作用和机器影响的焦虑
Pub Date : 2023-04-10 DOI: 10.34257/gjcstdvol23is1pg1
James Hutson, Ana M. Schnellmann
2022 has been heralded as the year of generative artificial intelligence (AI). Generative AI like ChatGPT and Stable Diffusion, along with a host of others, launched late in the year and immediately disrupted the status quo of the literary and art worlds, leading to outcries to ban “AI Art” and spawning an entirely new market of NFTs. Fears over the “death of the artist” and the “death of college composition,” however, are unfounded when considering the historical adoption of emerging technologies by creatives and the reconsideration of authorship that began with post structuralism and the Foucauldian Death of the Author in 1967. Contemporary scholarship has faced challenges in reconciling the function of the human author in conjunction with artificial intelligence (AI) due to the progressive sophistication and self-sufficiency of generative code. Nonetheless, it is erroneous to establish the threshold for authorship based on the development or advancement of AI or robotics, as it falls within the realm of ontology. Instead, assertions of AI authorship stem from a romanticized perception of both authorship and AI during a period in which neither holds significance.
2022年被誉为生成式人工智能(AI)之年。像ChatGPT和Stable Diffusion这样的生成式人工智能,以及许多其他的,在今年晚些时候推出,立即打破了文学和艺术世界的现状,导致人们大声呼吁禁止“AI艺术”,并催生了一个全新的nft市场。对“艺术家之死”和“大学作文之死”的恐惧,然而,考虑到创造性对新兴技术的历史采用,以及从后结构主义和1967年福柯式的《作者之死》开始的对作者身份的重新思考,是没有根据的。由于生成代码的日益复杂和自给自足,当代学术在协调人类作者与人工智能(AI)的功能方面面临着挑战。然而,根据人工智能或机器人技术的发展或进步来确定作者的门槛是错误的,因为它属于本体论的范畴。相反,人工智能原创的主张源于对原创和人工智能的浪漫化看法,而在这个时期,两者都没有意义。
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引用次数: 1
End-User Business Intelligence Tools Adoption in a Higher Education Institution 高等教育机构最终用户商业智能工具的采用
Pub Date : 2023-04-10 DOI: 10.34257/gjcstdvol23is1pg27
Irish Tejero Dakay, Rosana J. Ferolin, Angie Ceniza Canillo
This study examines how business intelligence (BI) tools are adopted in a higher education setting. It made use of the theories of Diffusion of Innovation (DOI), Technology Readiness Index, and Technology Acceptance Model (TAM). The psychometric features of the intended end-users were defined using TAM. The technology readiness of the users was assessed using TRI. The DOI was used to describe the innovation itself. The important factors for the adoption of the technology in this particular environment were identified through the examination of both quantitative and qualitative data. To gain a better understanding of the socio-technical system as a whole, a systems dynamics tool is presented to model the interaction of these elements along with the recommended interventions.
本研究探讨了商业智能(BI)工具如何在高等教育环境中被采用。运用了创新扩散(DOI)、技术准备指数(Technology Readiness Index)和技术接受模型(Technology Acceptance Model)等理论。使用TAM定义了预期最终用户的心理测量特征。使用TRI评估用户的技术准备程度。DOI被用来描述创新本身。通过对定量和定性数据的审查,确定了在这种特殊环境中采用该技术的重要因素。为了更好地了解整个社会技术系统,提出了一个系统动力学工具,以模拟这些要素之间的相互作用以及建议的干预措施。
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引用次数: 0
Generative AI and Algorithmic Art: Disrupting the Framing of Meaning and Rethinking the Subject-Object Dilemma 生成式人工智能与算法艺术:打破意义框架,重新思考主客体困境
Pub Date : 2023-04-10 DOI: 10.34257/gjcstdvol23is1pg55
James Hutson, Morgan Harper Nichols
In the revision of treatments of contemporary art in the 21st century, art historians are recognizing 2022 as the dawn of the age of creative artificial intelligence (AI). The emergence of generative AI tools like ChatGPT and Stable Diffusion in late 2022 immediately disrupted the established practices of the art world, leading to debates about the validity of "AI Art" and the emergence of a new market for NFTs. However, fears regarding the "death of the artist" are unwarranted when considering the historical adoption of new technologies by artists, such as photography. The role of the artist will undoubtedly transform, and the definition of "art" will be redefined once again. To better understand how AI generative art will impact traditional art-making practices, this study will present an AI generative art development pipeline and provide recommendations for future technical and theoretical considerations of the subject-object dilemma in art through a post structuralist reading of reception theory.
在21世纪对当代艺术的评价上,艺术史家们认为2022年是创造性人工智能(AI)时代的开端。2022年底,ChatGPT和Stable Diffusion等生成式人工智能工具的出现,立即打破了艺术界的既定做法,引发了关于“人工智能艺术”有效性的争论,并出现了一个新的nft市场。然而,考虑到艺术家对摄影等新技术的历史采用,对“艺术家之死”的担忧是没有根据的。艺术家的角色无疑将发生转变,“艺术”的定义将再次被重新定义。为了更好地理解人工智能生成艺术将如何影响传统的艺术创作实践,本研究将提出人工智能生成艺术的发展管道,并通过对接受理论的后结构主义阅读,为艺术中主客体困境的未来技术和理论考虑提供建议。
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引用次数: 2
期刊
Global journal of computer science and technology
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