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This paper introduces a novel approach to predict human motion for the Non-binding Lower Extremity Exoskeleton (NBLEX). Most of the exoskeletons must be attached to the pilot, which exists potential security problems. In order to solve these problems, the NBLEX is studied and designed to free pilots from the exoskeletons. Rather than applying Electromyography (EMG) and Ground Reaction Force (GFR)...
Aiming at the wireless sensor network (WSN) positioning of the centroid localization algorithm with the problem of inaccurate positioning, this paper proposes an improved weighted centroid localization algorithm based on RSSI. This algorithm regard the distance between the unknown node and the reference of anchor nodes as the weight in centroid localization algorithm, make full use of the unknown...
A single-base-station ultra-wideband (UWB) positioning system with a circular antenna array is given in this study. MUSIC algorithm and pulse amplitude measurement are employed to achieve accurate distance and angle measurement for precise positioning. Compared with the traditional correlation function algorithm in dense multipath environments, MUSIC algorithm has high multipath resolution capability...
Sub-health state is a low-quality status between health and disease. The aim of this study was to determine which factors and/or combination of factors could be predictive of sub-health state. In this paper, we carried out a clinical epidemiology survey and obtained two datasets both of which include 50 symptoms in report. The Dataset 1 consists of 572 samples, of which 523 cases were in sub-health...
Audio tags describe different types of musical information such as genre, mood, and instrument. This paper aims to automatically annotate audio clips with tags and retrieve relevant clips from a music database by tags. Given an audio clip, we divide it into several homogeneous segments by using an audio novelty curve, and then extract audio features from each segment with respect to various musical...
A novel framework for background music identification is proposed in this paper. Given a piece of audio signals that mixes background music with speech/noise, we identify the music part with source music data. Conventional methods that take the whole audio signals for identification are inappropriate in terms of efficiency and accuracy. In our framework, the audio content is filtered through speech...
A battery charger with MPPT function for low-power PV system applications is presented in this study. For effective miniaturization, the battery charger is designed with high frequency operation. Some current-sensing techniques are studied, and their MPPT implementation is compared. A pulse charging method is also designed to prolong battery lifetime. The operation principles and design considerations...
Difficulties in collection of electric toll have affected the normal operation and development of power supply bureau seriously. So the arrear problem of power customer has become one of the focus questions that power supply bureau pays attention to. In this paper, based on information entropy theory and on data mining technology, we have proposed a new data mining approach. This approach can measure...
In this paper, we study the effect of using different phonological feature sets for detection-based automatic speech recognition in phone recognition tasks. Three phonological feature sets derived from different underlying phonological theories are investigated. Our experiments were conducted on the TIMIT database. By comparing the oracle phone recognition results achieved by assuming that all the...
Enhanced fuzzy morphological associative memory (EFMAM) successfully conquers the common obstacle of MAM and FMAM, i.e. the extreme vulnerability to the hybrid noise. However, as the number of training patterns increases, EFMAM encounters difficulties in hardware realization, because its network architecture becomes larger and larger. Meanwhile its space and time complexity also rapidly increase....
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