Progressive technological development results in modern automotive technology such as self-driving automobiles. These require sensors to collect data about nearby objects and the surroundings in order to identify lane...
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In the current context, integrated distribution networks of the electricity grid to provide reliability during blackouts. Self-healing systems may keep functioning and reconfigure themselves in response to external br...
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Energy efficiency is an important constraint in Wireless Sensor Networks (WSNs). In this paper, we propose a Delaunay triangulation-based approach for the efficient participation of nodes. Following a Delaunay triangu...
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Some people may be allergic to a variety of crustaceans, including prawns, crab, and lobster, or they may be sensitive to some types of fish. Cross-reactivity is the term for this kind of condition. This approach is u...
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A wireless sensor network (WSN) encompasses a huge set of sensor nodes employed to collect data and transmit it to a base station (BS). Due to its compact, inexpensive, and scalable nature of sensors, WSN finds its ap...
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This paper presents a novel state-space clustering technique specifically designed for Reinforcement Learning (RL) problems with discrete state and action spaces. Building on this clustering methodology, we propose a ...
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Carbon Dioxide and Greenhouse Gases are the main cause of the change in the climate. It is recognized worldwide that need to reduce the emissions of greenhouse gases to avoid their worst impact on the change of the cl...
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The underwater object detection is a difficult task due to the unclear visibility and lack of objects underwater in kovalam, it was expected to have visibility up to three to five meters but it is very complicated to ...
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In the field of Renewable energy, data processing is occurring in the photovoltaic plant using the IoT data logger. A data logger is a piece of technology that records and stores data over time, where SCADA systems ar...
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ISBN:
(纸本)9798350336009
In the field of Renewable energy, data processing is occurring in the photovoltaic plant using the IoT data logger. A data logger is a piece of technology that records and stores data over time, where SCADA systems are also indulged in data transfer and monitoring. Using these systems, we are transferring data from the data logger to cloud where a cloud-based platform is allowed users to manage and monitors the data loggers and as the result of analysis of various plants, the issues will be reported in the ticketing system and the further storage will be done in another cloud. This will result a cloud-cloud data flow where we are concentrating in ensuring the security of the data logger, Ethernet, WIFI, router connectivity, external web pages where data is viewed should be protected and the data backup, storage should be a secured area. RS485/RS422 bus provides the highest data transmission rate in data logger. Data encryption technique that involves Internet-cloud data transfers. This project mainly focus on introducing some new technologies in MaaS, where MaaS is a collection of tools and apps used to monitor a specific aspect of an application, server, system, or IT component. In the solar industry, this implies combining hardware, software, and services to monitor, evaluate, and troubleshoot solar plant faults throughout the solar array's lifetime, where we can monitor the amount of energy and control it securely. And this will help to introduce a secure wide range of global monitoring and reporting techniques in the renewable energy sector where data and data loggers are rising along with the risks. Cyber threats have a significant impact on smart grid performance due to the fast proliferation of real system in power electronic systems for connecting renewable energy sources with cyber frameworks. These electrical equipment in systems are linked by communication networks, which may be vulnerable to major cyber-attacks by malicious attackers. We have shown the d
The method of identifying and predicting software flaws or problems in software systems involves using historical data. Software fault prediction is a crucial topic of research in the field of software engineering bec...
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