Cyber-physical systems (CPS) are real-Time systems and CPS for control applications have to preserve data consistency. the paper presents a logical time-Triggered distributedcomputing environment for CPS, which prese...
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Using cutting edge technology, nations all around the world are working to improve agricultural sustainability. Achieving water-use efficiency and being in line withthe Sustainable Development Goals (SDGs), especiall...
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distributed static synchronous series compensator (DSSSC) is distributed equipment installed on the power transmission line that can control the power flow and improve the transmission capacity and stability of the po...
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Wearable sensors such as smartwatches have become ubiquitous in recent years, allowing the easy and continual measurement of physiological parameters such as heart rate, physical activity, body temperature, and blood ...
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Flexible sensors became popular recently because of their promising results in the sensor applications. In this paper, we are demonstrating a flexible strain sensor made of Graphene Nanoplatelets (GNP) encapsulated be...
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ISBN:
(纸本)9781665473804
Flexible sensors became popular recently because of their promising results in the sensor applications. In this paper, we are demonstrating a flexible strain sensor made of Graphene Nanoplatelets (GNP) encapsulated between two films of Polydimethylsiloxane (PDMS) with a high sensitivity and flexibility. the sensor was designed and simulated on COMSOL. the analysis was carried out for different parameters and results were verified. the sensor designed and simulated here displayed a change in resistance when exposed to different forms of stress/strain, this property was used to interface the sensor to a microcontroller for various controlled robotics' applications.
Currently, the research integrating smart grid with mobile edge computing (MEC) is focused on the terrestrial renewable energy scenario, and very little research has been done on marine, where the communication enviro...
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this paper proposes an intelligent monitoring system for 110 kV power cable pipe wells. the system is mainly composed of intelligent sensing system, monitoring host system and real-time monitoring terminal. the LoRa t...
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the Internet of things (IoT), which allows autonomous items to share data over the Internet, has created a lot of interest in Machine-to-Machine communication. the design and implementation of real-time transformer mo...
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In the research community, dependable data transmission implementation is still a necessity in wireless sensor networks. Cluster routing is notable for its minimal overhead and reliable data transferring in traditiona...
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the Internet of things (IoT) driven latency-critical applications are deployed on lightweight Micro-Clouds at the network's edge. Renting physical space from geographically distributed colocation datacenters conne...
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ISBN:
(纸本)9798350304817
the Internet of things (IoT) driven latency-critical applications are deployed on lightweight Micro-Clouds at the network's edge. Renting physical space from geographically distributed colocation datacenters connected via a Wide Area Network (WAN) is a cost-effective way of deploying Micro-Clouds, despite WANs' dynamic communication latency from traffic congestion. However, this deployment approach can limit Micro-Clouds to operate within a soft power budget, as colocation datacenter providers utilize it to add more servers and lower capital costs through oversubscribing power infrastructure. As a result, Micro-Clouds use extreme energy reduction measures like power capping and task throttling to address power overdraw events, where power consumption exceeds soft power budget limits, which reduces the performance of latency-critical applications. We propose a solution where a dynamic power budget can be achieved by adding renewable energy sources to the existing soft power budget without upgrading power delivery systems. To take advantage of this, we propose a dynamic, decentralized task-scheduling algorithm called DEMOTS. DEMOTS effectively utilizes the available dynamic power budget in a WAN with varying degrees of network traffic congestion, thereby avoiding the need for extreme energy reduction measures. We implement DEMOTS on a simulation test-bed. Compared to state-of-the-art baseline using MCOP for decentralized task-scheduling in Micro-Clouds, DEMOTS reduces Power Overdraw Impact up to 19%, Task Latency Increase Impact up to 47%, and Task Schedule Time Impact up to 49%.
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