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A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal assumptions about the form of the solution. We define detection
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2020
Along with the development of IoT and mobile edge computing in recent years, everything can be connected into the network at anytime, resulting in quite dynamic networks with time-varying connections. Controllability has long been recognized as one of the fundamental properties of such temporal networks, which can provide valuable insights for the ...
Ke Xu, Yuchao Zhang
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Along with the development of IoT and mobile edge computing in recent years, everything can be connected into the network at anytime, resulting in quite dynamic networks with time-varying connections. Controllability has long been recognized as one of the fundamental properties of such temporal networks, which can provide valuable insights for the ...
Ke Xu, Yuchao Zhang
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Future Generation Computer Systems, 2019
Abstract In recent years, the Edge computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud computing facilities and services to the end users. The Edge
Wazir Zada Khan +4 more
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Abstract In recent years, the Edge computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud computing facilities and services to the end users. The Edge
Wazir Zada Khan +4 more
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Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, rather than relying on a centralized data center. By processing data at the edge of the network, closer to the source of generation, edge computing reduces latency, enhances real-time processing capabilities, and ...
Shettar, Girish +2 more
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Shettar, Girish +2 more
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Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things
IEEE Internet of Things Journal, 2020To satisfy the increasing demand of mobile data traffic and meet the stringent requirements of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and augmented/virtual reality (AR/VR), the fifth-generation (5G) enabling ...
Yaqiong Liu +4 more
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Computer, 2016
The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. Edge computing could address concerns such as latency, mobile devices' limited battery life, bandwidth costs, security, and privacy.
Schahram Dustdar, Weisong Shi
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The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. Edge computing could address concerns such as latency, mobile devices' limited battery life, bandwidth costs, security, and privacy.
Schahram Dustdar, Weisong Shi
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2017
Paradigms of ubiquitous IoT coupled with strong context-aware data access controls are a must for the success of Health 4.0. These together with the inherent requirement of adhering to strict QoS guarantees in the health domain create a technologically challenging environment which can be effectively addressed through novel platforms.
Karthikeyan Ganesan, Swaroop Nunna
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Paradigms of ubiquitous IoT coupled with strong context-aware data access controls are a must for the success of Health 4.0. These together with the inherent requirement of adhering to strict QoS guarantees in the health domain create a technologically challenging environment which can be effectively addressed through novel platforms.
Karthikeyan Ganesan, Swaroop Nunna
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2016
Currently, most cloud computing deployments are generally supported through the use of large scale data centres. There is a common perception that by developing scalable computation, storage, network, and by energy-acquisition at preferential prices, data centres are able to provide more efficient, reliable and cost effective hosting environments for ...
Ioan Petri +2 more
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Currently, most cloud computing deployments are generally supported through the use of large scale data centres. There is a common perception that by developing scalable computation, storage, network, and by energy-acquisition at preferential prices, data centres are able to provide more efficient, reliable and cost effective hosting environments for ...
Ioan Petri +2 more
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Fundamentals of Edge Computing
2020Edge computing has become an important solution to break the bottleneck of emerging technologies by virtue of its advantages of reducing data transmission, improving service latency, and easing cloud computing pressure. At the same time, the emergence of edge computing has spawned a large number of new technologies and promoted the updating and ...
Xiaofei Wang +5 more
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Contributions to Edge Computing
2017Efforts related to Internet of Things (IoT), Cyber-Physical Systems (CPS), Machine to Machine (M2M) technologies, Industrial Internet, and Smart Cities aim to improve society through the coordination of distributed devices and analysis of resulting data.
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