During vehicle-to-grid (V2G) interactions, information is transmitted across multiple platforms, posing significant security risks to both information transmission and network boundaries. Traditional evaluation techni...
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This paper proposes a new load management system oriented user-side terminal and control loop job quality evaluation method, established five indicators of availability, modifiability, reliability, security, ease of u...
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To improve the accuracy of load forecasting for large-area power grids during major weather events, a method for predicting the load variation rate of large-area power grids based on major weather events is proposed. ...
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The growth of renewable energy, particularly photovoltaic systems, has created a demand for advanced technologies that can enhance power quality and facilitate grid integration. The Photovoltaic power transferring sys...
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distributed clustering algorithms are employed in wireless sensor network (WSN) to improve the local data analysis. This process is carried out collaboratively with the help of nearby neighbours without a central cont...
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At present, there is a notable focus on parallel and distributedcomputing (PDC) initiatives within the realm of undergraduate engineering education in India. Owing to differences in education systems across borders, ...
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ISBN:
(纸本)9798350383782;9798350383799
At present, there is a notable focus on parallel and distributedcomputing (PDC) initiatives within the realm of undergraduate engineering education in India. Owing to differences in education systems across borders, along with variations in university policies, these efforts must be curated to cater to specific stakeholders, ensuring the achievement of the desired outcomes. Understanding such scenarios is crucial for the landscape of Indian undergraduate PDC education. This paper unveils a success story of implementing PDC at the undergraduate level for the past decade and a half, offering valuable insights gathered along this extended journey. Reflecting the idea that "every master was once a beginner," the narrative unfolds to inspire and empower educators who are just starting out. Whether introducing or already incorporating PDC education into the curriculum, this account is crafted to uplift and guide. Amidst the ongoing initiatives across the country, the time has come to progress and elevate PDC education beyond its current status. This paper presents a summary of potential efforts that the PDC community in India can explore for such initiatives.
The health sector stands as one of the most crucial and vulnerable domains, harbouring extensive personal data. Particularly, Electronic Health Records store information in electronic media where users lack control ov...
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ISBN:
(纸本)9798350369458;9798350369441
The health sector stands as one of the most crucial and vulnerable domains, harbouring extensive personal data. Particularly, Electronic Health Records store information in electronic media where users lack control over their data. Unauthorized access to the server or record portal could lead to data manipulation across the entire database. Addressing this security concern, blockchain emerges as a potential solution, surpassing traditional systems in data storage capabilities. In the event of unauthorized access, an attacker can only manipulate a single block of data, leaving the remaining information protected. In addition, blockchain offers new opportunities and avenues for research, particularly in terms of security and scalability. The proposed system in this paper, MediRec, aims to ensure that users have complete control over their personal data by employing a decentralized database. This database securely stores and restricts access to data, allowing only the owner to share it using a secure key. MediRec facilitates patients in creating blockchain-based accounts, ensuring each individual possesses a dedicated block for storing personal data. This innovative approach enables patients to schedule appointments, and doctors can prescribe medications, with details and e -prescriptions securely stored within the patient's block. To maintain the integrity of the system, doctors can undergo verification by healthcare services, such as the National Health Service in the UK, ensuring their validation before accessing the blockchain system. This stringent validation process ensures the security and authenticity of the data stored within the blockchain. Overall, the proposed solution in this paper offers robust security and scalability in electronic data storage, providing users with control over their information through a blockchain-based system. This system presents a promising solution in preventing data breaches and safeguarding sensitive healthcare information.
The advancement of data-intensive analysis has emphasised the need for extensive, scalable environments that enable easy access to diverse computational resources. This project proposes the development of a Scientific...
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MapReduce and Hadoop distributed data processing technologies are used for systematic research. The system is interactive in distributedcomputing, data mining, service response and cloud environment. At the level of ...
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In the evolving Artificial Intelligence (AI) era, the need for real-time algorithm processing in marine edge environments has become a crucial challenge. Data acquisition, analysis, and processing in complex marine si...
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ISBN:
(纸本)9798350363074;9798350363081
In the evolving Artificial Intelligence (AI) era, the need for real-time algorithm processing in marine edge environments has become a crucial challenge. Data acquisition, analysis, and processing in complex marine situations require sophisticated and highly efficient platforms. This study optimizes real-time operations on a containerized distributed processing platform designed for Autonomous Surface Vehicles (ASV) to help safeguard the marine environment. The primary objective is to improve the efficiency and speed of data processing by adopting a microservice management system called DataX. DataX leverages containerization to break down operations into modular units, and resource coordination is based on Kubernetes. This combination of technologies enables more efficient resource management and real-time operations optimization, contributing significantly to the success of marine missions. The platform was developed to address the unique challenges of managing data and running advanced algorithms in a marine context, which often involves limited connectivity, high latencies, and energy restrictions. Finally, as a proof of concept to justify this platform's evolution, experiments were carried out using a cluster of single-board computers equipped with GPUs, running an AI-based marine litter detection application and demonstrating the tangible benefits of this solution and its suitability for the needs of maritime missions.
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