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A Narrative Environment Model for the Sustainability of Intangible Cultural Heritage Under the 5G Era

A Narrative Environment Model for the Sustainability of Inta...

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international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Qu, Chen Zhao, Ting Ding, Wei Southampton International College Dalian Polytechnic University DalianLiaoning China

ISBN: (纸本)9783030627454

With the arrival of the fifth-generation mobile networks (5G) era, it has been widely acknowledged that innovative technology has been involved in many aspects, such as social, culture and economy. In this context, the culture creative industries (CCI) are becoming increasingly fused with technologies. As intangible cultural heritage is recognized as a branch of CCI, to what extent and how technology serves as a tool in safeguarding the intangible cultural heritage (ICH), and what media can ICH interact with the audience should be considered. This study contributes to fill this gap and solve the issues by aiming at the Chinese ICH, thereby exploring a narrative environment model for the sustainability of ICH at World Heritage Sites (WHSs) based on the narratology and narrative environment theory under the 5G Era. The practical possibilities drew on the literature review and a develop model based on the narratology theory thereby contributing to the overall aim of this research. It was discovered that 5G technology applied to an interactive narrative space could probably promote the inheritance and protection for ICH and enhance the immersive audience experience in museums. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Sustainable development

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A Secure Distributed e-Health System for the Management of Personal Health Metrics data 1

引用

34th international conference on Advanced Information Networking and Applications, AINA 2020

作者： Bocu, Razvan Transilvania University of Brasov Brasov Romania

ISBN: (数字)9783030440411

ISBN: (纸本)9783030440404

The definition of smart city as a broad concept values the versatile acquisition, storage, and processing of relevant data for the city’s community. In this context, health data occupies a privileged place. The reliable gathering of personal health information has become recently possible through wearable medical devices. These devices usually do not store the data locally and offer, in the most favourable case, limited basic data processing features, and virtually no advanced processing capabilities for the collected personal health data. This paper describes an integrated distributed e-Health system, which collects health data from the enrolled city residents, and allows secure storage and processing of medical data in cloud by using a comprehensive encryption model to preserve the data privacy, which is based on the NTRU public-key cryptosystem. The system collects the user data through a client application module that is installed on the user’s smartphone or smartwatch, and securely transports it to the cloud backend. The homomorphic processing of the encrypted data is performed using the Apache Spark service. The event-based handlers are triggered by the IBM OpenWhisk programming service. The prototype has been tested using a real-world use case, which involves five hundred residents of Brasov City, Romania. © 2020, Springer Nature Switzerland AG.

关键词： Information management

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Resource Discovery Mechanisms in Shared computing Infrastructure: A Survey 4th

Resource Discovery Mechanisms in Shared Computing Infrastruc...

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4th international conference of Reliable Information and Communication Technology (IRICT)

作者： Alzboon, Mowafaq Salem Mahmuddin, M. Arif, Suki Jadara Univ POB 150459 Irbid 13115 Jordan Univ Utara Malaysia Sch Comp InterNetWorks Res Lab Sintok 06010 Kedah Malaysia

ISBN: (纸本)9783030335823;9783030335816

The increased number of computers, enlarged network bandwidth, more powerful computers, consumed resources and the acceptance of the Internet has driven the ongoing demand for new and better ways to execute huge problems in shared computing infrastructure such as grid and P2P computing. Resource discovery is extremely significant and challenging issues in Grid and P2P. It is complex because resources are heterogeneous, dynamic, geographically distributed, manageability and autonomous. A well-organized resource discovery mechanism is the fundamental requirements for resource sharing infrastructure, as it supports and facilities the resource administration and scheduling of applications. In computing systems like Grid, provide many resources across multiple administrative domains for the achievement of the goal. The major challenge faced by the system is to find the right resources on the network. In this paper, we study the resource discovery mechanisms that have been used in distributed computing systems so far. The mechanism for discovery of resource is divided into different types: centralized, decentralized, and hierarchical. We review the main developments in these categories and outline the new challenges. This paper also provides a discussion of the differences between the mechanisms considered for scalability, dynamism, reliability and real consultations as well as directions for future research.

关键词： Grid computing Resource discovery Reliability

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data-Driven Prediction of Route-Level Energy Us e for Mixed-Vehicle Transit Fleets 6

Data-Driven Prediction of Route-Level Energy Us e for Mixed-...

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6th IEEE international conference on smart computing (smartCOMP)

作者： Ayman, Afiya Wilbur, Michael Sivagnanam, Amutheezan Pugliese, Philip Dubey, Abhishek Laszka, Aron Univ Houston Houston TX 77004 USA Vanderbilt Univ 221 Kirkland Hall Nashville TN 37235 USA Chattanooga Area Reg Transportat Author Chattanooga TN USA

ISBN: (纸本)9781728169972

Due to increasing concerns about environmental impact, operating costs, and energy security, public transit agencies are seeking to reduce their fuel use by employing electric vehicles (EVs). However, because of the high upfront cost of EVs, most agencies can afford only mixed fleets of internal-combustion and electric vehicles. Making the best use of these mixed fleets presents a challenge for agencies since optimizing the assignment of vehicles to transit routes, scheduling charging, etc. require accurate predictions of electricity and fuel use. Recent advances in sensor-based technologies, data analytics, and machine learning enable remedying this situation;however, to the best of our knowledge, there exists no framework that would integrate all relevant data into a route-level prediction model for public transit. In this paper, we present a novel framework for the data-driven prediction of route-level energy use for mixed-vehicle transit fleets, which we evaluate using data collected from the bus fleet of CARTA, the public transit authority of Chattanooga, TN. We present a data collection and storage framework, which we use to capture system-level data, including traffic and weather conditions, and high-frequency vehicle-level data, including location traces, fuel or electricity use, etc. We present domain-specific methods and algorithms for integrating and cleansing data from various sources, including street and elevation maps. Finally, we train and evaluate machine learning models, including deep neural networks, decision trees, and linear regression, on our integrated dataset. Our results show that neural networks provide accurate estimates, while other models can help us discover relations between energy use and factors such as road and weather conditions.

关键词： Environmental impact

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intelligent enterprise with industry 4.0 for mining industry 28th

Intelligent enterprise with industry 4.0 for mining industry

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28th international Symposium on Mine Planning and Equipment Selection, MPES 2019

作者： Nanda, Narendra K. President Indian Institute of Mineral Engineers Hyderabad India

ISBN: (纸本)9783030339531

The mining industry is under transformation as digital and automated technologies transform the traditional process of extracting ore from rock. With high global demand of raw materials, reduced ore grades, stringent environmental legislation and less profit margin, the mining industry has to improve its productivity through smart mining to survive in the competitive market. In smart mining, it is imperative to have a real-time flow of information between enterprise level systems and shop floor systems through application such as ERP. A mining company needs instantaneous visibility on production, quality, cycle times, machine status, and other variables in order to achieve optimum operations which necessitates intelligent enterprise with industry 4.0. Industry 4.0 technologies provide deeper understanding of resource base, optimization of material and equipment flow, improved anticipation of failure, increased automation such as automated surveying using drones and 3D laser technology, automated drills, automated mobile fleets using fleet management system, automated plants. It also helps in monitoring real time performance vs plan and safety of men and machineries. By using Internet of Things (IoT), Big data, Machine to Machine (M2M), data analytics, intelligent sensors, robotics, drone the smart mining will be up graded with industry 4.0 in mining activities such as surveying, drilling, blasting, excavation. Haulage, processing and transportation. The orientation of the paper revolves around various action plan for intelligent enterprise with industry 4.0 for improving their productivity to become more competitive globally. © Springer Nature Switzerland AG 2020.

关键词： Big data

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The Mediating Role of Cloud computing and Moderating Influence of Digital Organizational Culture Towards Enhancing SMEs Performance

The Mediating Role of Cloud Computing and Moderating Influen...

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7th international conference on Advances in Visual Informatics, IVIC 2021

作者： Abu Bakar, Muhammad Ramzul Mat Razali, Noor Afiza Wook, Muslihah Ismail, Mohd Nazri Tengku Sembok, Tengku Mohd National Defence University of Malaysia Kuala Lumpur Malaysia Malaysian Investment Development Authority Kuala Lumpur Malaysia

ISBN: (纸本)9783030902346

Usage of Industry4.0 enablers such as cloud computing, IoT and data analytics is still not common among SMEs. Many SMEs had failed in adopting digital transformations due to the conflicting values of digitalization with the company’s organizational culture. There is a gap in examining the moderating influence of digital organizational culture and its effect on cloud computing technology adoption within the organization. Thus, we aim to explore, develop, and propose the conceptual framework consisting of constructs from the technology-organization-environment (TOE) framework combined with cloud computing as a mediator and the effect of digital organizational culture as a moderator. The study outcomes should address the gap in the role of cloud computing and digital organizational culture to further enhance the SME’s performance. The research is still ongoing work, with field data will be collected using the structured survey questionnaire with managers of SMEs, including owners, senior executives or supervisors as the target responders. Then an empirical study using Structural Equation Model (SEM) will be proposed to validate the hypotheses of the conceptual framework. © 2021, Springer Nature Switzerland AG.

关键词： Surveys

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Computer Network Information Security in the Big data Era

Computer Network Information Security in the Big Data Era

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international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Liu, Yanli Network Information Center Bin Zhou Medical University Yantai264003 China

ISBN: (纸本)9783030433055

With the continuous development of globalization, the Internet technology has achieved unprecedented rapid development. With the increasing number of intelligent network terminals, technologies such as the Internet of Things and cloud computing have been continuously applied in various fields, making the amount of Internet data appear explosive. Upgrading the Internet has gradually entered the era of big data. In order to ensure the security of data information, it is of great significance to the problems of network information security (NIS) and security development in many fields. This article details the background in the era of big data. This article clarifies the urgency and necessity of NIS control in the context of big data. It proposes three elements of the NIS control mechanism, namely network control personnel, environment and technology. The three elements are the starting point to establish a NIS control mechanism. This article starts with related control strategies and security control technologies to establish a NIS control evaluation system. The NIS control evaluation system is used to provide NIS control work. Reference standard. This paper proposes the relevant strategies for NIS control, and provides necessary suggestions for NIS work. The research results show that the research results of this paper provide help and guidance for the development of NIS work in the context of big data. © Springer Nature Switzerland AG 2020.

关键词： Informatization

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Design of a Traffic Density Management and Control System for smart City Applications

Design of a Traffic Density Management and Control System fo...

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international conference on Cognitive Informatics and Soft computing (CISC)

作者： Deshmukh, Prashant Gupta, Devashish Das, Santos Kumar Sahoo, Upendra Kumar Natl Inst Technol Rourkela Dept Elect & Commun Rourkela India

ISBN: (纸本)9789811514517;9789811514500

Traffic congestion is a serious issue for urban cities. From city roads to highways, a lot of traffic problems occur everywhere in today's world, because of exponentially increase in the number of vehicles, the traffic management system and road capacity are not efficiently compatible with vehicles traveling on them. These frequent traffic problems like traffic jams have led to the need for an efficient traffic management system. This work focuses on the design of dynamic traffic control system based on real-time vehicle density present at the traffic post and highlights the experimental verification of outdoor density estimation system combined with traffic control unit. It provides good results under mixed traffic conditions and in adverse weather. Vehicle classification and counting are done using edge computing techniques and upload data to database;based on the vehicle count, density is estimated and green channel time is calculated for particular lane of traffic post.

关键词： IP camera Local processing unit Vehicle classification Density estimation Raspberry Pi Time synchronization Traffic management and control

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Optimizing data mining efficiency in professional farmer simulation training system with cloud-edge collaboration

Optimizing data mining efficiency in professional farmer sim...

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2020 international conference on Virtual Reality and intelligent Systems, ICVRIS 2020

作者： Long, Duo Yan, Hui Yu, Ping Wang, Jincheng Liu, Xinzheng Jiangxi Aviation Vocational and Technical College Jiangxi330024 China Changchun Institute of Technology Changchun130012 China Jilin Province Science and Technology Innovation Center for Physical Simulation Security of Water Resources and Electric Power Engineering Changchun130012 China

ISBN: (纸本)9781728196367

In the construction of agriculture modernization, the production need professional farmer. It is important that the professional farmer training in simulation production surrounding supported by agriculture internet of things. The application of the Internet of things generates massive data. It need optimize the smart mining method, which edge computing and cloud computing constitute an organic interaction system , with excellent functions in data intelligent mining. This paper based on the self-developed professional farmer training simulation system, aiming at the massive data in the system, a distributed deep learning algorithm based on the edge cloud collaboration be proposed, furthermore, optimized the algorithm by constructing the edge cloud collaboration network architecture of deep learning and the distributed parallel training be described, so as to solve the poor efficiency of intelligent mining of cloud alliance data in he simulation training system. © 2020 IEEE.

关键词： Learning algorithms

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Traditional Versus Decentralized Access Control for Internet of Things (IoT): Survey 4th

Traditional Versus Decentralized Access Control for Internet...

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4th international conference of Reliable Information and Communication Technology (IRICT)

作者： Saghir, Mohammed Khair, Bassam Ahmed H. Abu Al Hamodi, Jamil Abdullah, Nibras Univ Sci & Technol Comp Sci Dept Sanaa Yemen Hodeida Univ Comp Sci Dept Hodeida Yemen Univ St Malaysia USM Natl Adv IPv6 Ctr George Town 11800 Penang Malaysia

ISBN: (纸本)9783030335823;9783030335816

Internet of Things concept has started from the stage of early construction and increased with full speed to become a part of the Internet in the future. In our world, there are billions of an internet device has the technical challenges to manage them. Although Internet access management techniques exist, they are using 3rd party or centralized techniques to offer a set of technical constraints to manage them globally. The Block-Chain (BC), a notebook technology, offers a solution to secure trust in decentralized systems, and combines the trust, consistency and use of the shared Ledger in a public network that could be useful for building confidence in Internet objects. However, the use of BC with Internet things by itself involves a lot of challenges and has become a hot topic. Therefore, a methodical review of literature is necessary to know what is the proposed on this subject. This paper discusses a survey of key issues and design factors in IoT security that need to be considered for Access Control (AC) model designers as the IoT security requirements. In addition, we offer a broad survey of modern AC frameworks in IoT object research. We classify the proposed mechanisms into two categories: traditional and decentralized. Besides, we are discussing how the BC can be a key enabling factor for the access management model designed in IoT security.

关键词： IoT security BC IoT protocols Network security smart contracts AC

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