This paper considers the problem of combinatorial multi-armed bandits with semi-bandit feedback and a cardinality constraint on the super-arm size. Existing algorithms for solving this problem typically involve two ke...
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This paper elaborates on new techniques for weather radars and their relative merits with respect to a similar phased array configuration. As will be shown in paper that these techniques give spatial resolution improv...
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Enhancing the performance and extending the life-cycle of older vehicles through retrofitting with improved systems presents an alluring opportunity. However, achieving accurate sensing of crucial parameters, such as ...
Enhancing the performance and extending the life-cycle of older vehicles through retrofitting with improved systems presents an alluring opportunity. However, achieving accurate sensing of crucial parameters, such as engine revolutions per minute (RPM), poses challenges due to the need for mechanical manipulation and some designs, which may result in diminished accuracy in adverse settings. This study proposes using the primary ignition pulse signal to accurately determine engine speed without mechanical manipulation. We investigate the effectiveness of signal processing methods, including the RC filter, 2nd and 6th order Butterworth filter, to improve the accuracy of the readings. Our proposed method successfully collects data from conventional internal combustion engines, with simulated signal processing methods producing accurate detection of RPM and reduced fluctuations. The proposed method eliminated the noise, leading to accurate RPM measurements, while the maximum standard deviation observed for the RC filter implementation was 38.74. By accurately sensing key parameters, older vehicles can be retrofitted with improved systems, leading to enhanced performance and an extended lifecycle. The introduced methods can be practically implemented using custom electronics or embedded systems and can contribute to future research on automotive retrofitting.
Human-robot interaction is becoming a necessary part of the industry to achieve higher efficiency, productivity, and comfort. However, to ensure human safety, the awareness of human workers has to be under supervision...
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ISBN:
(数字)9798350387025
ISBN:
(纸本)9798350387032
Human-robot interaction is becoming a necessary part of the industry to achieve higher efficiency, productivity, and comfort. However, to ensure human safety, the awareness of human workers has to be under supervision. In this research, we defined a new function to estimate awareness through eye contact between the worker and the robot. This mechanism exploits a proposed robust and real-time eye contact classifier based on SeNet-50, that outperforms previous proposals based on ResNet-18.
Machine learning-based performance models are increasingly being used to build critical job scheduling and application optimization decisions. Traditionally, these models assume that data distribution does not change ...
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Atmospheric neutron-induced degradation of SiC power MOSFETs was observed through accelerated gate stress tests. The results show that below catastrophic failure voltage conditions, devices still suffer from the effec...
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Synthetic dyes have changed perceptions of natural dyes, but their chemical origins pose environmental risks. Seeking an eco-friendly alternative, the indigenous fruit duhat from the Philippines shows promise as a pot...
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The electric vehicles (EVs) adoption rate has been significant in the last decade and keeps on increasing. Recently, the retired EV battery packs which no longer provide satisfactory performance to power an EV started...
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ISBN:
(数字)9798350317664
ISBN:
(纸本)9798350317671
The electric vehicles (EVs) adoption rate has been significant in the last decade and keeps on increasing. Recently, the retired EV battery packs which no longer provide satisfactory performance to power an EV started appearing in the market. Typically, EV batteries are declared unfit for EV applications when the battery capacity is reduced to 70-80% of its nominal capacity. Various end-of-life (EOL) options are proposed by researchers before sending the retired batteries to recycle such as low-demanding e-mobility, grid-tired energy storage systems, storage of renewable energy, and home emergency power supplies. It is predicted that this may create new value pools in the energy and transportation sectors shortly. It is noticed in lithium-ion battery packs that all cells do not age similarly, thus clustering of healthy cells among the retired batteries is very crucial for safe and reliable operation in second-life applications. Thus, an efficient cell clustering method utilizing voltage relaxation curves powered by a data-driven BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies) algorithm is proposed in this paper. The efficiency and efficacy of the proposed algorithm compared to the state-of-the-art cell sorting technique are also demonstrated in the paper.
Population games model the evolution of strategic interactions among a large number of uniform agents. Due to the agents' uniformity and quantity, their aggregate strategic choices can be approximated by the solut...
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