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 ...
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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.
As the range of applications for intelligent Transport Systems (ITS) grows wider, the efficiency of the underlying tools for Big dataanalytics becomes of crucial importance. smart Cities are able to monitor, forecast...
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ISBN:
(纸本)9781467365963
As the range of applications for intelligent Transport Systems (ITS) grows wider, the efficiency of the underlying tools for Big dataanalytics 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.
Today's world sees dataanalytics 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 railwa...
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ISBN:
(纸本)9783030028862
Today's world sees dataanalytics 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 dataanalytics 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 dataanalytics, as we strive towards a quantum leap in railway reliability for our commuters.
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 product...
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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.
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 ...
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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...
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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 dataanalytics. 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.
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 as...
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.
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 application...
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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.
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 strateg...
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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. Throug...
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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.
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