检索结果-内蒙古大学图书馆

6th international conference on Advanced computing and Communication Systems, ICACCS 2020

作者： Sudha Mercy, S. Sivasubramanian, A. Natesh, Bhuvan B. Mathana, J.M. Jerald Vinfrank, J. Lokesh, G. Jeppiaar Institute of Technology Department of Computer Science and Engineering India Chennai Institute of Technology Department of Electronic and Communication Engineering India

ISBN: (纸本)9781728151977

Due to the movement of India to intelligent City, many of the processes have been already made automatic in various sectors like Industries, Hospitals even in Homes. Thus smart window is an automatic as well as manual operation for windows in Houses, Industries, Schools, Hospitals, Orphanages, etc. This Prototype will use IoT to sense the temperature of a closed environment continuously and adjust the Temperature of that closed Environment by opening or closing the window. This process will update the data gathered for the temperature and upload it to a dedicated server so that we can easily monitor the temperature in a closed environment remotely. This process can also be controlled Manually (by using the application) by sending a message to the device to Open/Close the window remotely. If both the temperature (Inside outside the room) is not suitable for the room temperature, then the appliances like Air conditioning, Fan, etc. will automatically start operating to adjust the room temperature. Additionally, this process will sense the environment for movements in other unoccupied rooms. So if there are no movements in the room then the appliances operating in that room will automatically be turned off. Similarly, if persons who are walking to that room, automatically the appliances in that room will automatically be turned on. Thus this operation will help us to maintain the temperature level in a closed environment and it is possible to launch the intelligent window operation with no human power. © 2020 IEEE.

关键词： Hospitals

来源：评论

学校读者我要写书评

暂无评论

Single-phase smart energy meter—IoT based on manage household electricity consumption service 4th

Single-phase smart energy meter—IoT based on manage househo...

引用

4th international conference on Research in intelligent and computing in Engineering, RICE 2019

作者： Nguyen, Thi Dieu Linh Tran, Ngoc Duc Tran, Thi Hien Faculty of Electronic Engineering Hanoi University of Industry Hanoi Viet Nam Faculty of Electrical Electronic Engineering Namdinh University of Technology Education Nam Dinh Viet Nam

ISBN: (纸本)9789811527791

Today, monitoring of energy and energy consumption of breakdown loads is an essential work. In the metering power consumption system, a single-phase energy meter is an important component to manage household electricity consumption. The development of technology based on IoT platform that helps to monitor the process of using electricity becomes simpler, ensuring safety, efficiency, and savings. The content of the paper presents the research and design of a single-phase smart energy meter with features such as measuring many quantities at the same time, storing data and performing remote monitoring. Experimental results show that the device stable operation. With minor errors and low cost, it can be used to measure and monitor energy for households. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Electric power utilization

来源：评论

学校读者我要写书评

暂无评论

Special Issue on Edge-Cloud Interplay Based on SDN and NFV for Next-Generation IoT Applications

引用

IEEE INTERNET OF THINGS JOURNAL 2020年第7期7卷 5690-5694页

作者： Garg, Sahil Guo, Song Piuri, Vincenzo Choo, Kim-Kwang Raymond Raman, Balasubramanian Ecole Technol Super Montreal PQ H3C 1K3 Canada Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China Univ Milan Comp Engn I-20133 Milan Italy Univ Texas San Antonio Cloud Technol Endowed Professorship San Antonio TX 78249 USA Indian Inst Technol Roorkee Dept Comp Sci & Engn Roorkee 247667 Uttar Pradesh India

With significant and continuing advances in information and communication technologies, the Internet of Things (IoT) will play an increasingly important role in domains, such as healthcare, transportation, finance, and energy. In an IoT system, billions of devices (e.g., sensors, wearables, and smart appliances) are connected to the global network infrastructure, and one associated phenomenon is the generation of a large volume of data. Apart from data volume, the velocity, variety, and veracity of these data will pose a significant burden on conventional networking infrastructures. However, as sensor and fifth-generation (5G) cellular technologies advance, so will the pervasiveness of IoT deployment. Parallel to this trend, cloud computing has been integrated with IoT in order to address limitations in existing IoT networks (e.g., storage and computing resources), and examples include Google cloud dataflow and Amazon IoT. However, cloud-centric IoT solutions may not be suited for delay-sensitive and computationally intensive applications, for example, due to resource availability, end-to-end latency, bandwidth, etc. Increasingly, large-scale IoT deployments demand high connectivity, interoperability, and orchestration which are necessary for minimizing latency and maximizing throughput. This highlights the importance of a distributed computing platform that can support the interactions between IoT and cloud computing systems.

关键词： Special issues and sections Cloud computing Edge computing intelligent sensors Wearable sensors Wearable computers

来源：评论

学校读者我要写书评

暂无评论

intelligent Manufacturing Information Security Sharing Model Based on Blockchain 1

引用

3rd international conference on Mechatronics and intelligent Robotics, ICMIR 2019

作者： Feng, Li Bo Zhang, Hui Wang, Jin Li State Key Laboratory of Software Development Environment Beihang University Beijing100191 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China Faculty of Management and Economics Kunming University of Science and Technology KunmingYunnan650093 China

ISBN: (数字)9789811502385

ISBN: (纸本)9789811502378

The development of the manufacturing industry reflects the productivity in a country or region to a certain extent. The informatization plays an increasingly important role in manufacturing. At present, there is still a phenomenon of insufficient transparency and low security performance in the manufacturing industry, which hinders the further development of the manufacturing industry. This paper proposes an intelligent manufacturing information security sharing model based on blockchain technology. The blockchain system can store product information and transaction information in the blocks which can achieve traceability of product information. The information is strengthened in real time, and the consensus mechanism and encryption algorithm are used to ensure that the product cannot be tampered. This information-sharing mechanism has promoted the development of smart manufacturing to a certain extent. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Ambient-Oriented Modelling in an intelligent Agriculture Infrastructure 10

Ambient-Oriented Modelling in an Intelligent Agriculture Inf...

引用

10th IEEE international conference on intelligent Systems, IS 2020

作者： Glushkova, Todorka Stoyanov, Stanimir Popchev, Ivan Doukovska, Lyubka Plovdiv University "paisii Hilendarski" Faculty of Mathematics and Informatics Plovdiv4000 Bulgaria Institute of ICT BAS Intelligent Systems Department Sofia1113 Bulgaria

ISBN: (纸本)9781728154565

The article discusses an adaptation of ViPS to build an intelligent infrastructure for agriculture in the Plovdiv region termed "Agriculture 2.0-Plovdiv". The main challenge is the virtualization of "things"from the physical world, as well as related events, time and spatial aspects. To present the spatial aspects of things we use an Ambient-Oriented Modeling approach. By adapting of ambient-oriented interpreter we created an animated simulator for modelling of some scenarios implementing basic services in the space. The infrastructure is developed together with two agricultural institutes in the region of Plovdiv-the first deals with cereals, and the second with vegetable crops. © 2020 IEEE.

关键词： Agriculture

来源：评论

学校读者我要写书评

暂无评论

Monitoring of Prolonged and Asymmetrical Posture to Improve Sitting Behavior

Monitoring of Prolonged and Asymmetrical Posture to Improve ...

引用

2020 international conference on data analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020

作者： Anwary, Arif Reza Vassallo, Michael Bouchachia, Hamid Swansea University Swansea University Medical School Swansea United Kingdom Medicine The Royal Bournemouth Hospital Bournemouth United Kingdom Bournemouth University Professor in Data Science and Intelligent Systems Bournemouth United Kingdom

ISBN: (纸本)9781728196756

Prolonged and asymmetrical sitting has been known to cause severe health problems like musculoskeletal pain, low back pain and spinal deformity. These in turn increase the cost of medical care. If sitting posture could be measured in a user friendly manner it will be possible to take steps to prevent deterioration in the patient's health, reducing the cost of medical care. To meet this goal, we develop and implement a low cost portable automatic sitting posture monitoring system. A pressure sensing system is constructed to measure different sitting postures (active, static or prolonged and asymmetry). The pressure sensors are placed in six different ergonomic locations on a chair. Sitting information is acquired from a healthy office worker for 10 days and stored in a cloud server through Internet of Things (IoT). A smart IoT end point device application is designed and developed to provide real time posture visualization, display daily summary score, customize different thresholds, configure personal notifications and set targets for improving sitting behavior. Experimental results show that high asymmetry is observed in the thigh region comparing with the lower back and shoulder regions. The subject spent 58% time with Excellent, 28% time with Good and 14% time with Poor sitting postures. This posture monitoring system is significantly simplified, making it suitable for office, school and home based assessment and support posture improvement strategies. © 2020 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Construction of Big data Analysis Platform Based on Semantic Rough Concept Lattice Model

Construction of Big Data Analysis Platform Based on Semantic...

引用

international conference on Applications and Techniques in Cyber Intelligence, ATCI 2019

作者： Xu, Hongsheng Kuang, Guofang Luoyang Normal University Luoyang471934 China Henan Key Laboratory for Big Data Processing and Analytics of Electronic Commerce Luoyang471934 China

ISBN: (纸本)9783030251277

This article first describes in detail big data mining technology based on semantic rough concept lattice model. data mining is facing practical application, even in the face of the same data set. SaaS service platform is mainly responsible for the realization of the function of the service layer, the layer of all business, application of public operation abstract. The external system of the platform is to store the data related to the platform and the data exchange. The paper presents construction of big data analysis platform based on semantic rough concept lattice model. Finally, the experimental results show that the proposed big data analysis method is effective. © 2020, Springer Nature Switzerland AG.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Application of Big data in Publishing Industry

Application of Big Data in Publishing Industry

引用

international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Yi, Fengpeng Beijing Institute of Graphic Communication Beijing China

ISBN: (纸本)9783030433055

The future development of publishing industry is closely related to the application of big data technology. This article analyzes how big data affects operation of various components on publishing industry supply chain. It explores the utilization mode of big data for companies on supply chain of publishing industry. Moreover, we proposes strategies and tactics on how to construct big data system and how to utilize big data in publishing industry. © Springer Nature Switzerland AG 2020.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

The e-commerce precision marketing strategy in big data environment

The e-commerce precision marketing strategy in big data envi...

引用

international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Lin, Junyi Nanning Normal University NanningGuangxi China

The development of e-commerce in China has experienced a period of rapid development. The highly developed internet has made big data as an important foundation for e-commerce. Big data has given a variety of support to precision marketing for e-commerce. E-commerce has high application value and can closely connect the Internet economy with people’s lives. Customers can implement online marketing and services according to different needs. In the process of e-commerce operation and development, continuous adjustment according to the market environment is a necessary operation that e-commerce enterprises need to perform in the context of the data era. This article focuses on the e-commerce precision marketing strategy from the perspective of big data, analyzes and explains the methods and methods that e-commerce precision marketing should adopt from the perspective of big data, and provides the necessary theoretical basis for better Internet economic development. © Springer Nature Switzerland AG 2020.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Evaluation of supply chain analytics maturity level with a hesitant fuzzy MCDM technique

Evaluation of supply chain analytics maturity level with a h...

引用

international conference on intelligent and Fuzzy Systems, INFUS 2019

作者： Büyüközkan, Gülçin Güler, Merve Mukul, Esin Industrial Engineering Department Galatasaray University Ortaköy Istanbul34349 Turkey

ISBN: (纸本)9783030237554

Supply chains become more complex, more extended, more connected and more global every day. The amount of data produced over different stages of the supply chain is significantly increasing, thereby making it difficult for companies to execute their daily works. By big data business analytics (BDBA), companies gain insight and perspective from their data, which allows more informed decisions and provides better strategies. Supply chain analytics (SCA) is the application of BDBA in supply chain management. The definition of the SCA refers to the advanced mathematical techniques applied to discover essential knowledge in supply chain processes. SCA brings various benefits to companies. However, companies need to measure the maturity of their use of SCA. Therefore, in this study, the aim is to present a generic model to help companies determining their SCA maturity levels. The maturity model’s main and sub-factors are determined by a literature review, industry reports, and experts’ opinions. The weights of these factors are calculated by the Hesitant Fuzzy Linguistic Simple Additive Weighting (SAW) technique. Hesitant Fuzzy Linguistic Term Set (HFLTS) technique is used to handle uncertainty and hesitancy in experts’ judgments. Finally, an application is provided to calculate ABC Company’s SCA maturity score, and the future perspectives are presented. © 2020, Springer Nature Switzerland AG.

关键词： Supply chain management

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：