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The goal of this paper is to serve as a guide for selecting a detection architecture that achieves the right speed/memory/accuracy balance for a given application and platform. To this end, we investigate various ways to trade accuracy for speed and memory usage in modern convolutional object detection systems. A number of successful systems have been proposed in recent years, but apples-toapples...
This paper presents an improved ensemble Kalman filter with an autonomous underwater vehicle carrying source for sound speed profiles inversion. The Markov chain Monte Carlo method is introduced to improve the variability of ensemble members in the traditional ensemble Kalman filter and thus, improve the performance. The inverse problem is formulated as a state-space model with a state equation for...
The purpose of this study is to seek a new stimulus pattern, which stimulates pudendal nerve efficiently and reduces electrochemical damage, by means of investigating its influence on abolishing detrusor hyperreflexic contraction in bladder reflex pathway. For studying the mechanism of nerve conduction, a simulation system was built based on Frankenhaeuser-Huxley (FH) equations. With this system,...
A cognitive radio system (CRS) senses the radio spectrum environment and adaptively use unoccupied spectrum resource. The CRS should optimize between two conflicting goals for different applications. One is the minimization of interference to primary users and the other is the maximization of usage of spectrum opportunities of the secondary users. In this paper, we propose a dual-level management...
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