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The Development of a Design Theory for Web Based Information Systems 基于Web的信息系统设计理论的发展
Pub Date : 2023-07-05 DOI: 10.53759/181x/jcns202303011
S. M, Babitha Lincy R, Minu Balakkrishnan, A. H
There is a common assumption among individuals that the complexity involved in developing novel systems utilizing Webtechnologies implies that Information Systems (IS) that are Web-based must possess fundamental and significant distinctions fromconventional IS. This study raises skepticism regarding the veracity of this claim. The literature pertaining to academic research,manuals, and sales material frequently espouses optimistic claims regarding the capabilities of e-commerce and e-businesstechnologies and applications, often grounded in the assumption of novelty associated with the Internet. The objective of the researchis to establish a systematic classification system for information systems theory based on its efficacy in addressing four fundamentalobjectives: analysis, explanation, prescription, and prediction. This study utilized both experimental and descriptive qualitativemethodologies. Subsequent to the analysis phase in the system development cycle of information technology, the design phase ensues.The results indicate that the evolution of an information technology system can be delineated by its phases of requirementspecification, design planning, and execution. The manifestation of this phenomenon is observed through the development of astrategic blueprint, the production of a visual representation or draft, or the organization of multiple components into a functionalentirety. In conclusion, it is imperative for information systems to give priority to both the user and the integration of the system.
人们普遍认为,利用网络技术开发新系统的复杂性意味着基于网络的信息系统(is)必须与传统的信息系统具有根本和显著的区别。这项研究对这一说法的真实性提出了怀疑。与学术研究、手册和销售材料有关的文献经常支持关于电子商务和电子商务技术和应用程序的能力的乐观主张,通常基于与Internet相关的新颖性假设。本研究的目的是根据资讯系统理论在分析、解释、规定和预测四个基本目标上的效能,建立一个系统的分类系统。本研究采用实验和描述性定性方法。在信息技术系统开发周期的分析阶段之后,紧接着是设计阶段。结果表明,信息技术系统的发展可以通过需求规范、设计计划和执行的阶段来描述。这种现象的表现是通过制定战略蓝图,制作视觉表现或草案,或将多个组件组织成一个功能整体来观察的。总之,信息系统必须优先考虑用户和系统的集成。
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引用次数: 0
Impact of Antenna Design, Electromagnetic Propagation, and RF Frequency on the Performance of Wireless Communication Systems in Urban Environments 天线设计、电磁传播和射频频率对城市环境下无线通信系统性能的影响
Pub Date : 2023-04-05 DOI: 10.53759/181x/jcns202303010
Wang Yanqi, Zeng Xin
The design and optimization of antennas, electromagnetic propagation, radio frequency (RF), and channel characterization are vital to the performance of the system in the rapidly developing area of wireless communication. Antennas are electronic components that transform electrical currents into electromagnetic waves and vice versa. They are critical to the operation of any wireless network and their design and optimization are therefore of paramount importance. The goal of this research was to find out how different factors, like antenna type, electromagnetic environment, RF, and channel characteristics, affect the efficiency of a wireless network. Multipath fading of 8 dB, shadow fading of 3 dB, and path loss of 100 dB were used in the study with a microstrip antenna in a suburban propagation scenario at an RF frequency of 5 GHz. Antenna design, electromagnetic propagation scenario, radio frequency (RF), and channel characteristics were all shown to have an impact on the wireless communication system performance. The performance metrics of the wireless sensor network were almost, but not quite, those that were hoped for in a real-world setting. Several avenues for future study are suggested, and the results have important implications for the design and optimization of wireless communication systems.
在快速发展的无线通信领域,天线、电磁传播、射频(RF)和信道特性的设计和优化对系统的性能至关重要。天线是一种电子元件,可以将电流转换成电磁波,反之亦然。它们对任何无线网络的运行都至关重要,因此它们的设计和优化至关重要。本研究的目的是找出天线类型、电磁环境、射频和信道特性等不同因素如何影响无线网络的效率。采用微带天线在郊区传播场景下,在5 GHz射频频率下,采用8 dB的多径衰落、3 dB的阴影衰落和100 dB的路径损耗进行研究。天线设计、电磁传播场景、射频(RF)和信道特性都对无线通信系统的性能产生影响。无线传感器网络的性能指标几乎是,但不完全是,那些希望在现实世界的设置。研究结果对无线通信系统的设计和优化具有重要的指导意义。
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引用次数: 1
Fundamental and Key Concerns of the Shared Use Vehicle System 共享车辆系统的基本和关键问题
Pub Date : 2023-04-05 DOI: 10.53759/181x/jcns202303008
A. Zegeye
Currently, a significant portion of Shared-Use Vehicle Systems (SUVS) providers make use of cutting-edge technologies (such as GPS monitoring, smartcard access and online reservation systems) to improve customer experiences. There is a growing need for interoperability between vehicle operators and suppliers of Shared-Use Vehicle Systems (SUVS) (e.g., smartcard accessibility across different car-sharing businesses) (i.e., transport fare collection via smartcards). Improved interoperability across systems is expected to increase customer satisfaction and adoption, which in turn will expand the market reach of such systems. In a similar perspective, we might expect to see some uniformity develop in areas such as vehicle interfaces, client contacts, and general operating procedures (for example, online reservation systems and insurance policies). However, the idea of SUVS is still in its infancy as a mobility option, therefore a comprehensive push toward standardization has not yet been implemented in the sector. In that case, the purpose of this research is to attempt to catalog a few of the key concerns that will be crucial to future interoperability conversations between SUVS and the establishment of industrial standards. This paper focuses on the fundamentals of operating an intelligent SUVS and details many of the concerns that have arisen throughout the formative stages of SUVS development.
目前,很大一部分共享车辆系统(suv)供应商利用尖端技术(如GPS监控、智能卡访问和在线预订系统)来改善客户体验。车辆运营商和共享车辆系统(suv)供应商之间的互操作性需求日益增长(例如,跨不同汽车共享业务的智能卡可访问性)(例如,通过智能卡收取运输费用)。跨系统改进的互操作性有望提高客户满意度和采用率,这反过来将扩大此类系统的市场范围。从类似的角度来看,我们可能期望在车辆界面、客户联系方式和一般操作程序(例如,在线预订系统和保险政策)等领域看到一些一致性。然而,作为一种出行选择,suv的概念仍处于起步阶段,因此尚未在该领域全面推行标准化。在这种情况下,本研究的目的是试图列出一些关键问题,这些问题将对未来suv之间的互操作性对话和工业标准的建立至关重要。本文重点介绍了智能suv的基本原理,并详细介绍了在suv发展的形成阶段出现的许多问题。
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引用次数: 1
The Characteristics, Methods, Trends and Applications of Intelligent Systems 智能系统的特点、方法、趋势和应用
Pub Date : 2023-04-05 DOI: 10.53759/181x/jcns202303009
A. Ramu, A. Haldorai
Interaction between intelligent systems and their human operators in dynamic, shifting, and unpredictable natural and social settings is novel area of study within the topic of intelligent computing systems. Robots of the past were not effective at making decisions on their own; instead, they routinely carried out the same set of actions in the same situations because they believed that the world was predictable. Nowadays, decisions may be made quickly and effectively by intelligent systems in practical settings. Modern intelligent systems include characteristics such as intelligent search and optimization, artificial evolution, and autonomous decision support that are unavailable in a traditional information system. An in-depth analysis of the methods used to create intelligent systems is presented in this paper. These techniques are often categorized as either artificial intelligence or soft computing. Some examples include the use of a neural network, fuzzy logic, a hybrid system, or a swarm of intelligent insects. In addition, this article gives an overview of two applications of intelligent systems and technologies such as Geothermal Heat Pumps (GHPs) and Heat exchangers (HEXs).
智能系统与人类操作者在动态、变化和不可预测的自然和社会环境中的交互是智能计算系统研究的新领域。过去的机器人不能有效地自己做决定;相反,他们会在同样的情况下习惯性地采取同样的行动,因为他们相信世界是可以预测的。如今,智能系统可以在实际环境中快速有效地做出决策。现代智能系统包括智能搜索和优化、人工进化和自主决策支持等传统信息系统所不具备的特征。本文对用于创建智能系统的方法进行了深入分析。这些技术通常被归类为人工智能或软计算。一些例子包括使用神经网络、模糊逻辑、混合系统或一群智能昆虫。此外,本文还概述了地热热泵(GHPs)和热交换器(HEXs)这两种智能系统和技术的应用。
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引用次数: 2
Theoretical Framework of Knowledge Representation for Information Sharing 面向信息共享的知识表示理论框架
Pub Date : 2023-04-05 DOI: 10.53759/181x/jcns202303006
Susan Bagatto
Since information from enterprises should be shared and exchanged in order to be understood and recognized, whereby unambiguous and transparent data is considered a vital requirement, information sharing has become crucial to the correct use of information assets. Sharing information may be seen as the most significant component of a company. Sharing or integrating information is used to bring together seemingly unrelated bodies of knowledge in an effort to enhance creativity. Development and training programs, reports, Information Technology (IT) platforms, official papers, and collaborative teams are all instances of information integration. It is possible to boost product and service quality, customer service responsiveness, innovation, and environmental sustainability via pervasive information integration. In this article, we take a look back at the revolutionary idea underpinning internal communication networks for Knowledge Management (KM), and Knowledge Representation (KR).
由于来自企业的信息应该被共享和交换,以便被理解和识别,因此明确和透明的数据被认为是一项至关重要的要求,因此信息共享对于正确使用信息资产至关重要。共享信息可能被视为公司最重要的组成部分。共享或整合信息是用来汇集看似无关的知识体系,以提高创造力。开发和培训计划、报告、信息技术(IT)平台、官方文件和协作团队都是信息集成的实例。通过无处不在的信息集成,有可能提高产品和服务质量、客户服务响应能力、创新和环境可持续性。在本文中,我们将回顾支持知识管理(KM)和知识表示(KR)内部通信网络的革命性思想。
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引用次数: 2
A Survey of Trends and Developments in Green Infrastructure Research 绿色基础设施研究趋势与发展综述
Pub Date : 2023-04-05 DOI: 10.53759/181x/jcns202303007
A. Haldorai, S. M
One of the most crucial measures for accomplishing sustainable development is the application of Green Infrastructure (GI), which could effectively coordinate social, environmental, and economic growth. Different publications on GI were analyzed in this research using bibliometric and visualization techniques with the help of the programs CiteSpace and VOSviewer, which were accessed through the Web of Science database. The number of publications relating to GI has increased dramatically over the past few decades, with research done in the United States and Europe taking the lead. Journal of Environmental Management, Urban Planning and Landscaping, and Urban Greening & Urban Forestry are the most often referenced periodicals for green infrastructure research. Investigation of co-cited literature has shown that several aspects of GI are studied, including their effect on human health and ecosystem; their management, appraisals, and design; and the evaluation of a particular feature of GI. Results from a keyword cluster analysis for "green infrastructure" show that most previous research has focused on this topic in four main areas: stormwater regulation, natural ecosystems, biodiversity preservation, and climate change.
绿色基础设施的应用是实现可持续发展的关键措施之一,它可以有效地协调社会、环境和经济增长。本文利用Web of Science数据库中的CiteSpace和VOSviewer软件,利用文献计量学和可视化技术对不同的地理标志文献进行了分析。在过去的几十年里,与地理标志相关的出版物数量急剧增加,美国和欧洲的研究处于领先地位。《环境管理》、《城市规划与景观》和《城市绿化与城市林业》是绿色基础设施研究中最常被引用的期刊。对共被引文献的调查表明,地理标志的几个方面得到了研究,包括它们对人类健康和生态系统的影响;它们的管理、评估和设计;以及对地理特征的评估。对“绿色基础设施”的关键字聚类分析结果表明,大多数先前的研究主要集中在四个主要领域:雨水调节、自然生态系统、生物多样性保护和气候变化。
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引用次数: 1
Foundational Aspects of Smart Cities Leading the Digital Economy - An Review 智慧城市引领数字经济的基本要素综述
Pub Date : 2023-01-05 DOI: 10.53759/181x/jcns202303004
F. Pedro
Due to the proliferation of advanced computing devices, it is now possible to attain faster data availability, data transportation, intuitive programming, and efficient infrastructures. In addition to enhancing the economy in terms of financial assets, and energy in the management of cities, the projected advantage is that it will have a positive impact on the quality of services provided to urban citizens. This article analyzes the foundational aspects of smart cities within the context of the digital economy by examining the roles of the digital economic developing in the construction of cities using China as a case study. This paper further explores the challenges facing the construction of the digital economy and smart cities, and provides a recommendation to Belarus to enhance its influence of the digital economy in their smart cities and e-government development. Based on a critical survey provided in this article, researchers and city developers are provided with insights and recommendations for bolstering the smart city's "digital radiation drive."
由于先进计算设备的普及,现在可以实现更快的数据可用性、数据传输、直观的编程和高效的基础设施。除了在金融资产方面增强经济,在城市管理方面增强能源外,预计的优势还在于,它将对向城市居民提供的服务质量产生积极影响。本文以中国为例,考察了数字经济发展在城市建设中的作用,分析了数字经济背景下智慧城市的基础方面。本文进一步探讨了数字经济和智慧城市建设面临的挑战,并为白俄罗斯提升数字经济在智慧城市和电子政务发展中的影响力提供建议。基于本文提供的一项重要调查,研究人员和城市开发商为加强智慧城市的“数字辐射驱动”提供了见解和建议。
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引用次数: 3
Brain Computer Interface System, Performance, Challenges and Applications 脑机接口系统,性能,挑战和应用
Pub Date : 2023-01-05 DOI: 10.53759/181x/jcns202303005
Zhu Jiping
Using electrodes placed on the scalp, a Brain-Computer Interface (BCI) may read electric activity in the brain and interpret it into orders to be sent to output devices. Artificial neuromuscular output channels are not used in BCIs. People with neuromuscular illnesses such as cerebral palsy, amyotrophic lateral sclerosis, spinal cord or stroke might greatly benefit from BCI since it can help them regain or maintain the abilities they once had. Standardized technological platforms have been developed as a result of massive multinational research efforts; and these platforms have the potential to be utilized to tackle intractable issues such as feature selection and segmentation, as well as the brain's incredibly complex dynamics. Researchers working on BCIs face additional challenges from the impact of time-variable psycho-neurophysiological fluctuations on brain signals, which must be overcome before the technology can be used in a plug-and-play fashion in daily life. This article provides a concise summary of the decades of research and development that have gone into BCIs so far, as well as a discussion of the most pressing issues yet to be solved.
使用放置在头皮上的电极,脑机接口(BCI)可以读取大脑中的电活动,并将其解释为发送到输出设备的命令。人工神经肌肉输出通道未用于脑机接口。患有脑瘫、肌萎缩性侧索硬化症、脊髓或中风等神经肌肉疾病的人可能会从BCI中受益匪浅,因为它可以帮助他们恢复或维持他们曾经拥有的能力。标准化的技术平台是大规模跨国研究努力的结果;这些平台有潜力被用来解决一些棘手的问题,比如特征选择和分割,以及大脑极其复杂的动态。脑机接口的研究人员还面临着额外的挑战,即时间变量的心理-神经生理波动对大脑信号的影响,在这项技术能够以即插即用的方式应用于日常生活之前,必须克服这些挑战。本文简要总结了迄今为止几十年来对bci的研究和开发,并讨论了尚未解决的最紧迫问题。
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引用次数: 3
Soft Computing Techniques to Analyze the Load Balancing in Cloud Environment 云环境下负载均衡分析的软计算技术
Pub Date : 2023-01-05 DOI: 10.53759/181x/jcns202303001
A. Ramu
An emerging method of digital computing known as "cloud computing" has recently gained immense popularity. While there are many benefits to using the cloud over the internet, there are also serious challenges that must be addressed in order to boost the efficiency of this method. Challenges to cloud computing via the internet include load balancing, work scheduling, fault tolerance, and several security concerns. The effectiveness of the cloud may be enhanced by fixing a number of problems, one of the most pressing being load balancing. To prevent any one node from being too overburdened or underused, a system employs a technique known as load balancing. In order to increase utilization and minimize overall task execution time, load balancing algorithms are developed to distribute work fairly across available resources. In this article, a review and comparison of different load-balancing algorithms is provided. This paper provides a basis of the application of different load-balancing techniques, which utilize the approach of soft computing within the cloud computing environment.
一种被称为“云计算”的新兴数字计算方法最近获得了极大的普及。虽然在互联网上使用云计算有很多好处,但为了提高这种方法的效率,也必须解决一些严峻的挑战。通过互联网对云计算的挑战包括负载平衡、工作调度、容错和一些安全问题。云的有效性可以通过解决一些问题来增强,其中最紧迫的问题之一是负载平衡。为了防止任何一个节点负担过重或未充分利用,系统采用一种称为负载平衡的技术。为了提高利用率和最小化总体任务执行时间,开发了负载平衡算法,以便在可用资源之间公平地分配工作。在本文中,对不同的负载平衡算法进行了回顾和比较。本文提供了不同负载平衡技术的应用基础,这些技术在云计算环境中利用了软计算方法。
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引用次数: 2
A Critical Analysis on Complex Urban Systems and Complex Systems Theory 复杂城市系统与复杂系统理论的批判性分析
Pub Date : 2023-01-05 DOI: 10.53759/181x/jcns202303003
M. Dong
Deep neural complexity theory has recently received new attention, particularly in the study of climate and the environment. According to the majority of the research on urban climate resilience, cities are complex adaptive systems, and as such, urban governance and design should take cues from the study of complex adaptive systems. This means that climate change governance, in order to mitigate the problems presented by climate change's unpredictability, has to be flexible, participatory, and adaptive. This article provides a critical literature review on the topic of Complex Urban Systems, i.e., climate change governance in the context of complexity theory. The paper argues that the current hype around complexity theory exaggerates the theory's relevance. Complexity theory falls short in explaining urbanization and environmental change since they are highly contested social phenomena. However, it serves a significant purpose in bringing attention to the uncertainty realities in the process of policy-making, which are certainly fundamental in the context of climate change, including the changing ecologies on which cities rely. Many critics of complexity theory point out that it tends to showcase urban developments are happening through neutral evolutionary forces, which can be comprehended, and governed by individuals engaged in governance for a particular objective.
近年来,深度神经复杂性理论在气候和环境研究中受到了新的关注。根据大多数关于城市气候适应能力的研究,城市是一个复杂的适应系统,因此,城市治理和设计应该从复杂适应系统的研究中得到启示。这意味着,为了减轻气候变化的不可预测性所带来的问题,气候变化治理必须是灵活的、参与性的和适应性的。本文对复杂城市系统,即复杂性理论背景下的气候变化治理这一主题进行了批判性的文献综述。本文认为,当前围绕复杂性理论的炒作夸大了该理论的相关性。复杂性理论在解释城市化和环境变化方面存在不足,因为它们是高度争议的社会现象。然而,它在引起人们对决策过程中不确定性现实的关注方面发挥了重要作用,这在气候变化的背景下当然是至关重要的,包括城市所依赖的不断变化的生态。许多复杂性理论的批评者指出,它倾向于展示城市发展是通过中性的进化力量发生的,这些力量可以被参与特定目标治理的个人理解和管理。
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引用次数: 5
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Journal of Computing and Natural Science
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