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International Journal of Internet Manufacturing and Services最新文献

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iMRobot: an innovative approach for new media and communication iMRobot:创新的新媒体与传播方式
Q4 Engineering Pub Date : 2021-01-01 DOI: 10.1504/IJIMS.2021.10037202
Vicky Hanqi Lu, R. Zhong
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引用次数: 2
Role of recent IoT technologies in agricultural applications: a review 物联网技术在农业应用中的作用综述
Q4 Engineering Pub Date : 2021-01-01 DOI: 10.1504/IJIMS.2021.10037203
S. Purushotham, Sameera Kuppam
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引用次数: 1
Investigating the impact of the internet of things on the performance of knowledge areas of project management 调查物联网对项目管理知识领域绩效的影响
Q4 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijims.2021.122702
Seyedamirhesam Khalafi, M. Khalilzadeh, S. Razaghi, Ehsan Vaezi
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引用次数: 1
Internet of things in transportation: exploring vehicular ad hoc networks feasibility 交通中的物联网:探索车辆自组织网络的可行性
Q4 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijims.2021.122703
A. E. C. Mondragon, C. E. C. Mondragon, E. S. Coronado
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引用次数: 0
Forecasting agricultural product logistics demand by nonlinear principal component analysis and a support vector machine optimised by the grey wolf optimiser 利用非线性主成分分析和灰狼优化器优化的支持向量机预测农产品物流需求
Q4 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijims.2021.122717
Xiaoye Zhou, Meilin Zhu, Xiaoyun Ma, Yu Zhong
{"title":"Forecasting agricultural product logistics demand by nonlinear principal component analysis and a support vector machine optimised by the grey wolf optimiser","authors":"Xiaoye Zhou, Meilin Zhu, Xiaoyun Ma, Yu Zhong","doi":"10.1504/ijims.2021.122717","DOIUrl":"https://doi.org/10.1504/ijims.2021.122717","url":null,"abstract":"","PeriodicalId":39293,"journal":{"name":"International Journal of Internet Manufacturing and Services","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67114870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Continuance intention to play games: the interaction of basic psychological needs, I-type and D-type epistemic curiosities 延续玩游戏意愿:基本心理需求与i型和d型认知好奇心的交互作用
Q4 Engineering Pub Date : 2021-01-01 DOI: 10.1504/ijims.2021.122718
Young Berm Kim, Sang Ho Lee
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引用次数: 0
Using artificial neural networks to forecast producer price index for New Zealand 用人工神经网络预测新西兰生产者价格指数
Q4 Engineering Pub Date : 2020-04-05 DOI: 10.1504/ijims.2020.10028267
Linlin Zhao, Bill Wang, Jasper Mbachu, T. Egbelakin
Trend in the producer price is of much value to the central bank authorities in identifying the cost-push inflation that can improve their understanding of future directions of inflation in the aggregate economy and informulating sound policies and macroeconomic plans. Forecasting of the producer price movement is complex; the popular use of conventional methods is fraught with inaccuracies which often produces misleading results. This study explored the reliability and accuracy of the use of artificial neural networks (ANNs) for modelling and predicting producer price index (PPI) trend in New Zealand. The study also compared ANNs results with those produced by the autoregressive integrated moving average (ARIMA) as an alternative. Results showed that the ANNs model outperformed the ARIMA model as a more reliable and accurate tool for time series data prediction. The method developed could guide economists and macroeconomic policymakers in making more accurate forecasts.
生产者价格的趋势对中央银行当局确定成本推动型通货膨胀具有很大价值,这可以提高他们对总体经济中未来通货膨胀方向的理解,并为健全的政策和宏观经济计划提供信息。生产者价格变动的预测是复杂的;传统方法的普遍使用充满了不准确之处,往往会产生误导性的结果。本研究探讨了使用人工神经网络(Ann)建模和预测新西兰生产者价格指数(PPI)趋势的可靠性和准确性。该研究还将人工神经网络的结果与自回归综合移动平均(ARIMA)产生的结果进行了比较。结果表明,ANNs模型作为一种更可靠、更准确的时间序列数据预测工具,其性能优于ARIMA模型。所开发的方法可以指导经济学家和宏观经济政策制定者做出更准确的预测。
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引用次数: 2
An enhanced two factor authentication for e-healthcare system 电子医疗保健系统的增强双因素身份验证
Q4 Engineering Pub Date : 2020-04-05 DOI: 10.1504/ijims.2020.10028292
S. Likitha, R. Saravanan
The wireless network technology with its gradual advancements is adapted by many domains like banking, governance, health services, etc., where most of their transactions include customer's sensitive data. Along with advancement in the network technologies, digital crime is also increased at high rate. This may cause loss of sensitive data through malicious activities in the network. This concern of network security system can be effectively handled through the strong authentication mechanism. It can be observed that multiple authentication mechanisms that are currently used in the wireless digital network are vulnerable towards various advanced malicious techniques. Hence, there is a need to strengthen the existing authentication mechanisms or to design a stronger authentication mechanism. This paper considers the vulnerabilities identified in a two-factor authentication scheme for online medical services proposed by Li et al. and further proposes an enhanced two-factor authentication that overcomes the vulnerabilities analysed from Li et al. mechanism.
随着无线网络技术的逐步发展,它被许多领域所采用,如银行、治理、医疗服务等,这些领域的大多数交易都包含客户的敏感数据。随着网络技术的进步,数字犯罪也在高速增长。这可能会导致网络中的恶意活动导致敏感数据丢失。通过强认证机制可以有效地解决网络安全系统的这一问题。可以观察到,目前无线数字网络中使用的多种身份验证机制容易受到各种高级恶意技术的攻击。因此,有必要加强现有的身份验证机制或设计更强大的身份验证机制。本文考虑Li等人提出的在线医疗服务双因素认证方案中发现的漏洞,进一步提出一种增强的双因素认证方案,克服Li等人机制分析的漏洞。
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引用次数: 1
Selection of resource service chain with conflict-free dependencies in cloud manufacturing systems 云制造系统中无冲突依赖资源服务链的选择
Q4 Engineering Pub Date : 2020-04-05 DOI: 10.1504/ijims.2020.10028268
Xiuyang Lei, Zhengping Zhang, Yongbo Yu, Haibo Li, Juncheng Tong
In cloud manufacturing (CMfg), to improve the efficiency of a whole business process, all distributed manufacturing resources services should be selected as 'service flows', called resource-service chain (RSC). However, selecting an RSC with conflict-free dependency is more difficult in collaborative manufacturing than in a centralised one, as resource services are usually selected independently by different organisations. To overcome this shortcoming, an algorithm based evolutionary algorithm is proposed. First, five common types of dependencies are defined after analysing the relationship among manufacturing resources. Then, genetic algorithm (GA) is applied to find the optimal set of RSCs, in which the dependencies among resource services are considered as constraint rules. Finally, a collaborative business process is taken as an instance to verify the selection of RSCs with conflict-free dependency. The results show that it can improve the efficiency of resource service selection.
在云制造(CMfg)中,为了提高整个业务流程的效率,应选择所有分布式制造资源服务作为“服务流”,称为资源服务链(RSC)。然而,在协同制造中选择无冲突依赖的RSC比在集中式制造中更困难,因为资源服务通常由不同的组织独立选择。为了克服这一缺点,提出了一种基于算法的进化算法。首先,通过分析制造资源之间的关系,定义了五种常见的依赖类型。然后,采用遗传算法(GA)寻找最优的rsc集合,其中将资源服务之间的依赖关系作为约束规则;最后,以一个协作业务流程为例,验证了无冲突依赖关系的rsc的选择。结果表明,该方法可以提高资源服务选择的效率。
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引用次数: 0
A novel comprehensive evaluation method for science and technology insurance under internet environment 网络环境下科技保险综合评价新方法
Q4 Engineering Pub Date : 2020-04-05 DOI: 10.1504/ijims.2020.10028270
Zhi-Teng Zeng, Weijun Xu, Xuemei Wang
Manufacturing industry plays an important role in the national economy. However, it is worth noting that scientific and technological innovation in manufacturing industry is accompanied by risks. One of the important ways to solve technological risks is science and technology insurance. In this paper, we first analyse the development status of science and technology insurance in China, and then establish an index evaluation system by using the analytic hierarchy process (AHP) and the fuzzy comprehensive evaluation method. The index evaluation system includes three layers and selects 24 indicators, which can help the insurance companies to scientifically and quantitatively evaluate high-tech manufacturing companies. It also can avoid subjective and difficult-to-quantify problems in the past evaluation process. Finally, an empirical study is showed to explain how to quantify these indicators and how to calculate the weight coefficient values for each indicator. Our findings can provide relevant countermeasures and suggestions for insurance companies, high-tech manufacturing companies, and governments.
制造业在国民经济中占有重要地位。但值得注意的是,制造业的科技创新也伴随着风险。科技保险是解决科技风险的重要途径之一。本文首先分析了中国科技保险的发展现状,然后运用层次分析法和模糊综合评价法建立了指标评价体系。指标评价体系包括三个层次,选取了24个指标,可以帮助保险公司科学、定量地评价高新技术制造业企业。避免了以往评价过程中存在的主观和难以量化的问题。最后,通过实证研究说明了如何量化这些指标,以及如何计算每个指标的权重系数值。研究结果可为保险公司、高科技制造企业和政府提供相关对策和建议。
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引用次数: 0
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International Journal of Internet Manufacturing and Services
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