As the global population ages, sarcopenia - age-related muscle decline - demands innovative solutions. This paper introduces GRIPPY, a VR grip controller that transforms basic handgrip exercises into immersive, gamifi...
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Decentralized exchanges (DEXs) have emerged as a promising solution to enhance trustlessness in blockchain ecosystems and mitigate security threats associated with centralized exchanges. While platforms like Uniswap o...
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This study investigates the target Q-coverage problem in under-provisioned directional sensor network (DSN). The coverage imbalance is a serious issue in under-provisioned networks. In Q-coverage, some targets may get...
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This study investigates the target Q-coverage problem in under-provisioned directional sensor network (DSN). The coverage imbalance is a serious issue in under-provisioned networks. In Q-coverage, some targets may get the required coverage while others may be partially covered or even not covered. We have proposed a new balancing index QbI to measure the balanced coverage of the network. In this study, we have modified four existing multi-objective genetic algorithms (MOGAs), strength Pareto evolutionary algorithm 2 (SPEA2), nondominated sorting genetic algorithm II (NSGA-II), multiobjective evolutionary algorithm based on decomposition (MOEA/D), and two-stage evolutionary strategy based MOEA/D (MOEA/D-TS), where the objectives are maximization of the balanced coverage based on the proposed QbI and minimization of the number of active sensors in the DSN. Keeping their generic structures the same, we have modified the MOGAs to make them suitable for implementing the proposed Q-coverage problem. For this purpose, a new mutation operator is also designed. As per our limited knowledge, no work in the literature considered the target Q-coverage problem in multi-objective paradigm. We have analyzed the impact of five different network parameters on the two objectives mentioned above: the number of targets, the number of sensors, the number of orientations, the sensing radius, and the coverage requirement. To compare the performances among the MOGAs, we have considered three different performance metrics: Hypervolume (HV), Inverted generational distance (IGD), and spread. The sensitivity analysis is done on three different network parameters to show the robustness of the modified MOGAs. Additionally, the performances of four MOGAs are compared with a genetic algorithm, existing in the literature, for the Q-coverage problem. The modified MOGAs are also tested on large scale, very large scale, and real networks, and the results show the effectiveness of the proposed MOGAs on
The widespread broadcast of fake health news offers a huge challenge that puts the health and well-being of the general population in peril. This is especially true in a time when there is an excess of information ava...
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This paper presents a novel approach for processing cycling data from TCX files using a custom-built Julia library, TCX2Graph.j1. The method includes constructing property graphs from GPS track points and detecting ov...
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ISBN:
(数字)9798350379365
ISBN:
(纸本)9798350379372
This paper presents a novel approach for processing cycling data from TCX files using a custom-built Julia library, TCX2Graph.j1. The method includes constructing property graphs from GPS track points and detecting overlapping path segments. These detected overlapping points are enriched with track point metrics, enabling detailed analysis of cycling sessions. The proposed approach processes large datasets efficiently, pro-viding insights into overlapping paths and athlete performance.
As three-dimensional (3D) art becomes increasingly prevalent in fields such as architecture, game design, and AR/VR, this study examines the use of multi-objective evolutionary algorithms (MOEAs) to generate diverse a...
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We offer new methods for characterizing general closed and convex quantum resource theories, including dynamic ones, based on entropic concepts and operational tasks. We propose a resource-theoretic generalization of ...
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This paper introduces the recent advancements in W-band radar sensor technology, including self-injection-locked (SIL) and super-regenerative oscillator (SRO) systems. Utilizing GaAs monolithic microwave integrated ci...
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ISBN:
(数字)9798331510473
ISBN:
(纸本)9798331510480
This paper introduces the recent advancements in W-band radar sensor technology, including self-injection-locked (SIL) and super-regenerative oscillator (SRO) systems. Utilizing GaAs monolithic microwave integrated circuit (MMIC) technology, both architectures demonstrate notable capabilities in vital sign monitoring applications, highlighted by their high sensitivity and low power consumption. SIL radars feature low hardware complexity and considerable sensitivity, whereas SRO systems provide enhanced sensitivity and reduced power usage. Experimental results demonstrate the superior performance of these W-band integrated radars, exhibiting the potential for accurate healthcare monitoring applications.
Sequential Monte Carlo (SMC) samplers are a family of powerful Bayesian inference methods that combine sampling and resampling to sample from challenging posterior distributions. This makes SMC widely used in several ...
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Steel reinforced grout (SRG) composites, due to their high performance, proved effective for the external strengthening of existing structures and for the seismic protection of historical constructions. Nonetheless, t...
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