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Transforming Data into Actionable Insights with Cognitive Computing and AI 利用认知计算和人工智能将数据转化为可操作的见解
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.166012
Saleimah Al Mesmari
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引用次数: 0
Coupling of Serendipity, Affordance and Taxonomy in Digital Competence: HCI for Illiterates 数字能力中偶然性、可视性和分类学的耦合:面向文盲的HCI
Pub Date : 2022-01-01 DOI: 10.4236/jsea.2022.157015
Livaniaina Razanakolona, Andrianjaka Miary Rapatsalahy, Hajarisena Razafimahatratra, S. Ilie, Thomas Mahatody, Noble Akam
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引用次数: 0
Professional One-Day Training Course in BIM: A Practice Overview of Multi-Applicability in Construction BIM专业单日培训课程:BIM在建筑中的多适用性实践概述
Pub Date : 2022-01-01 DOI: 10.4236/jsea.2022.155007
A. Sampaio, A. Gomes
The implementation of Building Information modelling (BIM) methodology in the construction industry has been covering wide applicability with recognized benefits in designing, constructing and operating buildings. A recent short course organized in the University of Lisbon, actualized with the most relevant achievement based in master research, was offered to professionals of the industry, namely, architects and civil engineers coming from diverse engineering areas, environment, construction, maintenance, consult and patrimonial enterprises and also from public organizations like city councils. The proposed action covers the areas of construction (conflict analysis, planning and materials take-off), structures (interoperability, analyses and transfer of information between software) and the most recent Heritage Building Information Modelling (HBIM) topic. The course aims to contribute to the dissemination of the potential of BIM in the areas of designing, construction and refurbishing of historical buildings. The participants followed the course with great interest and satisfaction, formulating several questions directed to the particular activity of each of the attendees.
建筑信息模型(BIM)方法在建筑行业的实施已经覆盖了广泛的适用性,在设计、建造和运营建筑物方面具有公认的好处。里斯本大学最近组织了一个短期课程,以硕士研究的最相关成果为基础,向行业专业人士提供,即来自不同工程领域、环境、建筑、维护、咨询和传统企业的建筑师和土木工程师,以及来自市议会等公共组织的工程师。拟议的行动涵盖了建筑(冲突分析、规划和材料提取)、结构(互操作性、分析和软件之间的信息传递)和最新的文物建筑信息模型(HBIM)主题。本课程旨在促进BIM在历史建筑设计、建造和翻新领域的潜力传播。参与者以极大的兴趣和满意的方式参加了课程,并针对每个参与者的特定活动提出了几个问题。
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引用次数: 6
Blockchain as a Service (BCaaS): A Value Modeling Approach in the Education Business Model 区块链即服务(BCaaS):教育业务模型中的价值建模方法
Pub Date : 2022-01-01 DOI: 10.4236/jsea.2022.155009
Ioannis Karamitsos, M. Papadaki, Marinos Themistocleous, Cornelius Ncube
The adoption of Blockchain has caused the organization to rethink how it operates and adds value to its current processes. Some scholars refer to Blockchain as the Black Swan of the 21st century, which will have a greater impact than the introduction of the Internet. Currently, there is little discussion about Blockchain technology and the value model approach and how organizations can close the gap between strategy and operational planning to successfully implement this technology in organizations. This paper explores the relationship and implications of Blockchain technology in relation to the value chain model in education. This paper proposes a value modeling approach for implementing Blockchain in the education sector and demonstrates how a solution works in practice. The novelty of the research will be from both theoretical and practical perspectives. The study will appraise enhancement that can be made within the existing literature on Blockchain and the value chain model, and how the alignment of the two concepts can be used to improve the use of the current value chain model in the education sector.
区块链的采用使组织重新思考如何操作并为其当前流程增加价值。有学者将区块链称为21世纪的黑天鹅,其影响将超过互联网的引入。目前,关于区块链技术和价值模型方法以及组织如何缩小战略和运营计划之间的差距以成功地在组织中实施该技术的讨论很少。本文探讨区块链技术与教育价值链模型的关系和含义。本文提出了在教育部门实施区块链的价值建模方法,并演示了解决方案如何在实践中发挥作用。研究的新颖性将体现在理论和实践两个方面。该研究将评估在区块链和价值链模型的现有文献中可以做出的改进,以及如何使用这两个概念的一致性来改进当前价值链模型在教育部门的使用。
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引用次数: 4
Development of Player-Friendly Web-Based Golf League Management Application 基于web的球员友好型高尔夫联赛管理应用程序的开发
Pub Date : 2022-01-01 DOI: 10.4236/jsea.2022.153003
Devin Staton, Jeremy C. Bellah
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引用次数: 1
The Use of M-Government and M-Health Applications during the COVID-19 Pandemic in Saudi Arabia 沙特阿拉伯COVID-19大流行期间移动政府和移动医疗应用程序的使用
Pub Date : 2022-01-01 DOI: 10.4236/jsea.2022.1511023
Ahad Abdulqader Allam, A. Ali, Wed H. Ghabban, Ala'aldin Alrowwad, N. Fallatah, O. Ameerbakhsh, I. Alfadli, F. Ghabban
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引用次数: 2
The Grand Challenges in Information Systems 信息系统的重大挑战
Pub Date : 2022-01-01 DOI: 10.4236/jsea.2022.154005
Chandra S. Amaravadi
The field of information systems has historically suffered from a pre-dominance of behavioral approaches. As a result, it is not surprising that in spite of decades of research, dozens of conferences and journals and thousands of researchers, very few breakthroughs have been achieved. This paper advocates a technical approach that focuses on improving existing systems in organizations by viewing them from the point of roles i.e. functions fulfilled by IS in organizations. These are understood as: 1) supporting operations, 2) providing information, 3) supporting decision making, 4) providing knowledge, 5) supporting knowledge and clerical work, and 6) supporting organizational design. It is generally agreed that the field’s understanding of fulfil-ling roles “1”, “2”, “3” and “6” is mature while understanding of areas “3” (for unstructured decisions), “4”, and “5” are still incomplete. The challenges in these areas are difficult problems that we refer to as grand challenges and discuss in this paper.
信息系统领域历来受到行为方法占主导地位的影响。因此,尽管进行了数十年的研究,参加了数十次会议和期刊,参加了数千名研究人员,但取得的突破很少,这并不奇怪。本文提倡一种技术方法,通过从角色(即组织中信息系统履行的功能)的角度来看,着重于改进组织中的现有系统。这些被理解为:1)支持操作,2)提供信息,3)支持决策,4)提供知识,5)支持知识和文书工作,6)支持组织设计。人们普遍认为,该领域对履行角色“1”、“2”、“3”和“6”的理解是成熟的,而对领域“3”(用于非结构化决策)、“4”和“5”的理解仍然不完整。在这些领域的挑战是困难的问题,我们称之为大挑战,并在本文中讨论。
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引用次数: 1
A Study of Quantitative Progress Evaluation Models for Open Source Projects 开源项目进度量化评估模型研究
Pub Date : 2022-01-01 DOI: 10.4236/jsea.2022.155010
H. Sone, Y. Tamura, Shigeru Yamada
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引用次数: 0
Feedback Control of Medication Delivery Device Using Machine Learning-Based Control Co-Design 基于机器学习控制协同设计的给药装置反馈控制
Pub Date : 2022-01-01 DOI: 10.4236/jsea.2022.157013
Jacob Anthony, Ashley Dixon, Chung-Hyun Goh, M. Lucci
Although the opioid crisis is a problem worldwide, recent emerging technology has the potential of curtailing the epidemic. By administering micro-doses of medication as needed, a feedback-driven medicine pump could les-sen the highs and lows associated with the formation of an addiction. The focus of this study was to develop a feedback control loop for this pump that optimizes drug concentration in the bloodstream based on set criteria. In the process of optimization of the system, the mathematical model representing the system was analyzed to find an open loop transfer function. Using this function, a PID tuner was applied to set feedback control. Both machine learning (ML) and deep learning (DL) techniques are explored to act as a classifier that aids the pump in administering doses. The setpoint concentration of medication in the patient’s bloodstream was calculated to be 7.55 mg/ml this setpoint was the basis for steady state concentration of the transfer function. When a PID tuner was added to the feedback system, the plot was optimized to satisfy the design criteria of a rise time less than 25-minutes and no more than a 5% overshoot of the setpoint concentration. Naïve Bayesian (NB), Tree and support-vector machines (SVM) classifiers achieved the best classification accuracy of 100%. A DL network was successfully developed to predict patient class. This work is the theoretical basis for developing a feedback-driven medicine pump and an algorithm that can classify patients based on their body’s metabolism that will aid the doctor in formatting the medicine pump so that the patient is receiving the proper amount of medication.
虽然阿片类药物危机是一个全球性问题,但最近出现的技术有可能遏制这一流行病。通过根据需要给予微剂量的药物,反馈驱动的药物泵可以减少与成瘾形成相关的高潮和低谷。本研究的重点是为该泵开发一个反馈控制回路,根据设定的标准优化血液中的药物浓度。在系统优化过程中,分析了系统的数学模型,找到了一个开环传递函数。利用此函数,应用PID调谐器进行整定反馈控制。探索机器学习(ML)和深度学习(DL)技术作为分类器,帮助泵管理剂量。计算出患者血流中药物的设定值浓度为7.55 mg/ml,该设定值是传递函数稳态浓度的基础。当在反馈系统中加入PID调谐器时,该图被优化为满足上升时间小于25分钟且不超过设定点浓度超调5%的设计标准。Naïve贝叶斯(NB)、树(Tree)和支持向量机(SVM)分类器的分类准确率最高,达到100%。成功地开发了一个深度学习网络来预测患者类别。这项工作为开发反馈驱动的药物泵提供了理论基础,并为开发一种算法提供了理论基础,该算法可以根据患者的身体代谢情况对患者进行分类,从而帮助医生对药物泵进行格式化,使患者获得适当的药物量。
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引用次数: 0
Intrusion Detection System with Remote Signalling for Vehicles Using an Arduino Controller and Radio-Frequency Technology 基于Arduino控制器和射频技术的车载远程信号入侵检测系统
Pub Date : 2022-01-01 DOI: 10.4236/jsea.2022.154006
Senghor Abraham Gihonia, R. Mabela, R. Bokolo, Eddy Kimba, Matondo Katshitshi, Matshitshi Kalombo, Michel Tshodi, Nathanael Kasoro Mulenda
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引用次数: 0
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软件工程与应用(英文)
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