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An Edge computing Paradigm for Time-Sensitive Applications

An Edge Computing Paradigm for Time-Sensitive Applications

引用

4th World conference on smart Trends in Systems, Security and Sustainability (WorldS4)

作者： Jain, Arpit Jat, Dharm Singh Namibia Univ Sci & Technol Comp Sci Windhoek Namibia

ISBN: (纸本)9781728168234

Edge computing (EC) is a new developing computing technology where data are collected, and analysed nearer to the edge or sources of the data. Cloud to the edge, intelligent applications and analytics are part of the loT applications and technology. Edge computing technology aims to bring cloud computing features near to edge devices. For time-sensitive applications in cloud computing, architecture massive volume of data is generated at the edge and stored and analysed in the cloud. Cloud infrastructure is a composition of data centres and large-scale networks, which provides reliable services to users. Traditional cloud computing is inefficient due to delay in response, network delay and congestion as simultaneous transactions to the cloud, which is a centralised system. This paper presents a literature review on cloud-based edge computing technologies for delay-sensitive applications and suggests a conceptual model of edge computing architecture. Further, the paper also presents the implementation of QoS support edge computing paradigm in Python for further research to improve the latency and throughput for time-sensitive applications.

关键词： Cloud computing Fog computing Edge computing IOT QoS

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Real World Applications using Parallel computing Techniques in Dynamic Traffic Assignment and Shortest Path Search 18

Real World Applications using Parallel Computing Techniques ...

引用

18th IEEE international conference on intelligent Transportation Systems

作者： Attanasi, Alessandro Silvestri, Edmondo Meschini, Pietro Gentile, Guido Univ Roma La Sapienza DICEA Rome Italy PTV SISTeMA Rome Italy

ISBN: (纸本)9781467365963

As the range of applications for intelligent Transport Systems (ITS) grows wider, the efficiency of the underlying tools for Big data analytics becomes of crucial importance. smart Cities are able to monitor, forecast and (possibly) control the pulse of collective interactions involving networks and environment (such as traffic and pollution) by means of key performance indicators. Technology-guided solutions can proactively support the sustainable development and the optimal management of infrastructures and services, improving the quality of life for both city dwellers and commuters. This requires processing huge amounts of data, continuously streaming in from a variety of fixed sensors (e.g. loops, cameras) and mobile devices (GPS trajectories). In particular, Mobility Control Centres need effective software solutions and fast algorithms to deal with two major problems: Traffic Forecasting and Route Guidance. This paper presents real world examples of large scale applications where both tasks are addressed by implementing parallel computing algorithms, achieving high performances and allowing real time management operations and end-user services. The first test case examines the performance of a routing platform covering the entire Austria region, while the second concerns large instances of dynamic traffic assignment for real-time forecasting.

关键词： intelligent Transport Systems Big data analytics Parallel computing Dynamic Traffic Assignment Dynamic Shortest Path

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Leveraging data analytics in Systems Engineering - Towards a Quantum Leap in Railway Reliability 3rd

Leveraging Data Analytics in Systems Engineering - Towards a...

引用

3rd international Asia-Pacific conference on Complex Systems Design and Management (CSD and M Asia)

作者： Tsang, Thaddeus Hong, Joyce Wong, Mun Yih Ho, Kum Fatt Land Transport Author 1 Hampshire RdBlock 10Level 3 Singapore 219428 Singapore

ISBN: (纸本)9783030028862

Today's world sees data analytics more prevalent than ever before, mining and interpreting data through various trends. In Singapore, the Land Transport Authority's (LTA) new role as asset owner for its railway operating assets has also given impetus towards establishing a sustainable digital ecosystem. Timely decisions are enabled based on accurate understanding of the asset condition from the network of data and analytic processes, to maintain safety and reliability of the Rapid Transit Systems (RTS) throughout its service life. In addition to expounding on the data analytics process, this paper also explores the potential benefits from the data discovery and the challenges in doing so. The crux is to provide a more robust, reliable and resilient public transport system through data analytics, as we strive towards a quantum leap in railway reliability for our commuters.

关键词： data analytics

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Closing the loop: Real-time Error Detection and Correction in automotive production using Edge-/Cloud-Architecture and a CNN

Closing the loop: Real-time Error Detection and Correction i...

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2nd IEEE international conference on Omni-Iayer intelligent Systems (IEEE COINS)

作者： Vater, Johannes Kirschning, Maximililian Knoll, Alois BMW Grp Planning & Prod Electrified Powertrains Munich Germany Tech Univ Munich Chair Robot Artificial Intelligence & Real Time S Munich Germany

ISBN: (数字)9781728163710

ISBN: (纸本)9781728163710

One challenge faced by the automotive industry is the shift from combustion to electrically powered vehicles. This change strongly impacts on components such as the electric motor and the battery, and hence on production. In this context, the low level of expert knowledge is especially problematic. To meet these new challenges, this paper introduces a data-driven optimization of the production process by integrating a modular edge and cloud computing layer, and advanced data analysis. Defects are classified by a convolutional neural network (CNN) (predictive analytics) and corrected (depending on the defect type) by an automated rework (prescriptive analytics). The architecture of the CNN achieves an accuracy of 99:21% to predict the defect class. The automated rework process is selected through an implemented decision tree. The edge device communicates with a programmable logic controller (PLC) through a cyber physical interface. As an example of its practical application, the method is applied to hairpin welding of the stator of an electric motor with real production data.

关键词： industry 4.0 cloud computing edge computing machine learning convolutional neural networks electric motors hairpin predictive analytics prescriptive analytics prescriptive automation

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Efficient Real-Time Decision Making Using Streaming data analytics in IoT Environment

Efficient Real-Time Decision Making Using Streaming Data Ana...

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international conference on Advanced computing, Networking and Informatics, ICANI 2018

作者： Valliappan, S. Bagavathi Sivakumar, P. Ananthanarayanan, V. Department of Computer Science and Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (纸本)9789811326721

Setting up and managing Internet of things environment possess challenges like capturing, storing, mining, and processing of massive high-speed data streams generated by various sensors and computing devices. In this paper, the focus is on decision support systems incorporating cloud infrastructure and streaming data analytics to provide efficient decision making at the point of care in smarter environments. It is best explained with the help of performing streaming data analytics over real-time smart environment setup to determine the factors for efficient water usage in the near real time. © Springer Nature Singapore Pte Ltd. 2019.

关键词： data analytics

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Big data analytics Towards a Framework for a smart City 2nd

Big Data Analytics Towards a Framework for a Smart City

引用

2nd international conference on Information and Communication Technology for intelligent Systems (ICTIS)

作者： Srivastava, Devesh Kumar Singh, Ayush Manipal Univ Jaipur Sch Comp & IT Jaipur Rajasthan India

ISBN: (纸本)9783319636733;9783319636726

While collecting and gathering the data from various domains of a city, one never fail to criticize the city officials as to how they have improved the conditions of livability, economic development and sustainability. A city is always taking initiatives to augment the existing framework or to implement a new framework altogether for transportation system, solid waste management, water supply system and other mission specific domains by gathering relevant data. This process of endless growth of data marts and datasets and analyzing it to gain valuable insight into the domain is being known by the business society today as Big data analytics. In our research work, we discussed the challenges and hurdles that are faced during the development of a smart city. Along the way, we will also make use of some of the recent advances in cloud computing, sensing technologies and provide a framework for the smart city using internet of things which can effectively contribute in the enhancement of current models of smart city. We discussed the components of our framework which is proposed for the city, and analytics for large datasets with their applications in various domains.

关键词： Internet of things (IOT) Information and communications technology (ICT) Integrated data centers (IDC) BUCI MUCI

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Proceedings of the 2024 international conference on Innovative computing, intelligent Communication and smart Electrical Systems, ICSES 2024

Proceedings of the 2024 International Conference on Innovati...

引用

2024 international conference on Innovative computing, intelligent Communication and smart Electrical Systems, ICSES 2024

ISBN: (纸本)9798331543617

The proceedings contain 396 papers. The topics discussed include: development of an IoT enabled smart children tracking and monitoring system using map location services;HMLM: an intelligent artificial intelligence assisted strategy to identify UPI frauds based on hybrid Markov learning methodology;data-driven insights into automotive customer complaints: a machine learning approach to predictive analytics;integrating predictive analytics and deep learning for vehicle safety incident forecasting;analyzing the health status of people in rural areas using machine learning algorithms;machine learning based approach using hand gestures for mouse and video control;experimental analysis of artificial intelligence powered adaptive learning methodology using enhanced deep learning principle;a comprehensive analysis of image processing methods for agricultural product quality control;and convolutional neural network-based multi-fruit classification and quality grading with a Gradio interface.

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Remote Healthcare Development Using Vehicular Ad Hoc and Wireless Sensor Networks

Remote Healthcare Development Using Vehicular Ad Hoc and Wir...

引用

international conference on computing, analytics and Networking (ICCAN)

作者： DasGupta, Suparna Saha, Soumyabrata Chatterjee, Koyel JIS Coll Engn Dept Informat Technol Kalyani W Bengal India

ISBN: (纸本)9789811078712;9789811078705

Wireless sensor networks along with vehicular ad hoc networks comprise of distributed sensor nodes which have sensing, communication, and meting out capabilities and work as emerging technology for diverse applications including healthcare industries. The objective of the proposed framework is to ensure the unremitting monitoring of vigorous parameters of patients without affecting the customary activities and provides the factual information to the end user. The proposed system includes smart vehicles outfitted with VANETs and body sensors embedded in the patients' body equipped by WBSNs. smart vehicles carry health information collected from the patients and forward to the adjoining healthcare service provider. To better support the proposed framework, along with VANETs, WSNs can be adopted to design the framework for developing remote health consisting of the fundamental architecture of the system to provide unswerving communication with multicast data delivery in real time.

关键词： Wireless sensor networks Vehicular ad hoc networks Health care smart vehicle System architecture

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Analysis of urban street microclimate data based on ENVI-met

Analysis of urban street microclimate data based on ENVI-met

引用

1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Mao, Ning School of Architecture and Urban Planning Shenzhen University Shenzhen518060 China

ISBN: (纸本)9789811525674

Microclimate is an important factor affecting the behavior and activities of people in cities. How to analyze the influencing factors of urban microclimate through data analysis and put forward the improvement strategy is an urgent problem to be solved under the background of intelligent city construction. In this paper, the microclimate data of four streets in Majialong Industrial area of Shenzhen are analyzed by using ENVI-met data simulation software, and based on several elements of street orientation, sky view faktor and plant, the improvement strategy of microclimate in urban streets is put forward. To achieve the purpose of guiding urban design, so as to promote the construction of smart city. © Springer Nature Singapore Pte Ltd. 2020.

关键词： smart city

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NFC Mobile intelligent Campus Construction of Nanjing University of Finance and Economics

NFC Mobile Intelligent Campus Construction of Nanjing Univer...

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Behavioral, Economic and Socio-cultural computing (BESC), 2015 international conference on

作者： Wang, Xiaoqing Liu, Ning Liu, Yan Sun, Yang Nanjing Univ Finance & Econ Nanjing Jiangsu Peoples R China China Telecom Corp Nanjing Branch Beijing Peoples R China

ISBN: (纸本)9781467387835

Influenced by the fusion of Internet Plus and education, Nanjing University of Finance and Economics launches the construction of "intelligent Campus" through the application of NFC smart Campus Card. Through reviewing the functions of NFC mobile phone smart campus card, the multiple application scenes on campus are demonstrated and the advantages are indicated as multi-function, optimized user experience, efficiency and reliability, which improve the campus life of students and enhance the campus management after the renovation project have been completed.

关键词： Internet Plus Application in High Education NFC Campus Application NFC Mobile Phone smart Campus Card Campus Card Renovation

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