Timely blood sample transportation is crucial for healthcare, particularly in emergencies, in Saudi Arabia's government clinics, the current process involves daily noon collections by SPL logistics representatives...
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Quantum computing is a technology that is frantically growing. It revolutionizes many industries for all different types of things and will solve problems that transpositional computers have not thought of yet. Quantu...
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This paper aims to implement Synthetic aperture radar (SAR) deceptive jamming by utilizing a Space-time coding array (STCA) to secure the target from imminent threats, which is of significance in the modern warfare. A...
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-With the development of the smart grid, electricity consumption forecasting has become increasingly important in power systems. Accurate forecasting not only helps power companies optimize their operation strategies ...
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Intelligent Transportation Systems (ITS), particularly vehicular ad-hoc networks, play a crucial role in improving road safety and traffic efficiency. However, transmitting vehicle location and identity data poses sig...
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Support Vector Machine (SVM) has received much attention in machine learning due to its profound theoretical research and practical application results. Support Vector Regression (SVR) has become a powerful tool for s...
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In recent years, the demand for wireless communication has grown exponentially and with it, the amount of traffic carried through such networks. One way to reduce traffic in such networks is through modified network c...
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The traditional waste management system, prevalent in many regions, relies heavily on manual sorting processes carried out by human workers. These processes are often labor- intensive and time-consuming, leading to in...
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ISBN:
(纸本)9798331529635
The traditional waste management system, prevalent in many regions, relies heavily on manual sorting processes carried out by human workers. These processes are often labor- intensive and time-consuming, leading to inefficiencies in waste management operations. Manual sorting methods struggle to cope with the increasing volume and complexity of waste generated, resulting in challenges in accurately categorizing and classifying different types of waste materials. This limitation not only hampers the effectiveness of waste sorting but also impedes efforts to maximize recycling rates and minimize environmental impact. In response to the limitations of traditional waste management approaches, the proposed Eco Detect Advanced Waste Sorting system presents a transformative solution. Leveraging the advancements in artificial intelligence and computer vision, this system introduces the utilization of the YOLOv7 algorithm for real-time interference. YOLOv7, renowned for its exceptional accuracy and speed in object detection, is integrated into the waste sorting process to enable rapid and precise identification and classification of diverse waste materials. By employing deep learning methodologies, the system is capable of recognizing a wide array of waste categories, including plastics, paper, glass, metals, and organic materials, with remarkable efficiency. The integration of the YOLOv7 algorithm into the proposed waste sorting system represents a significant advancement in waste management technology. By enabling swift and accurate identification of various waste types, the system facilitates the optimization of recycling practices, promotes the establishment of a circular economy, and contributes to the overall sustainability agenda. Its adaptability and scalability make it well-suited for widespread implementation, addressing the pressing need for sustainable waste management for clean energy solutions on a global scale. Ultimately, the paper envisions a future where te
Location-based services are at the heart of many applications that individuals use every day. However, there is often no guarantee of the truthfulness of users' location data, since this information can be easily ...
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ISBN:
(纸本)9798350328127
Location-based services are at the heart of many applications that individuals use every day. However, there is often no guarantee of the truthfulness of users' location data, since this information can be easily spoofed without a proof mechanism. In distributed system applications, preventing users from submitting counterfeit locations becomes even more challenging because of the lack of a central authority that monitors data provenance. In this work, we propose a decentralized architecture based on blockchains and decentralized technologies, offering a transparent solution for Proof of Location (PoL). We specifically address two main challenges, i.e., the issuing process of the PoL and the proof verification. We describe a smart contract based implementation in Reach, a blockchain-agnostic smart contract language, and the tests we conducted on different blockchains, i.e. Ethereum, Polygon, and Algorand, measuring latency and costs due to the payment of fees. Results confirm the viability of the proposal.
In the fashion recommendation system, with the increase in the number of clothing, the combination of clothing matching is growing exponentially, which leads to the slowdown of training speed and excessive memory usag...
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