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OBJECTIVES: As a significant part of Traditional Chinese Medicine (TCM), acupoint positioning heavily depends on the acupuncturist's skills. Due to shortage of accurate acupoint detection system with favorable human-computer interactivity, a recognition and projection system for meridians and acupoints is proposed that is based on three-dimensional (3D) scanning. METHODS: First, a 3D human model is...
Computing with memory, which stores function responses of some input patterns into lookup tables offline and retrieves their values when encountering similar patterns (instead of performing online calculation), is a promising energy-efficient computing technique. No doubt to say, with a given lookup table size, the efficiency of this technique depends on which function responses are stored and how...
In this paper, methods of energy transformation to reduce OPEX for remote area are introduced which can be divided into efficiency improving and consumption reducing.
Over the last few decades various methods have been proposed by researchers to extract 3D keypoints from the surface of 3D mesh models, but most of them are geometric ones, which are not flexible enough for various applications. In this paper, we propose a new 3D keypoint detection method based on multi-scale neural network (MSNN), which is a tiny neural network and can effectively merge multi-scale...
To predict the vibration displacement distributed on a vibrating surface, an r order Non-equidistant Grey Model (r-NGM) is proposed in this paper. This model is built by accumulating the initial discrete non-equidistant vibration displacement set with the r order Accumulated Generating Operation (r-AGO). The r-NGM is applied to a vibrating surface of a shaker to displacement prediction. The experimental...
The Hall-sensor-controlled brushless dc (BLDC) motors have been widely used in a myriad of industrial and commercial applications due to their simplicity and low cost; meanwhile the fault-tolerant operation of Hall sensor drives is receiving renewed attention in recent literature. This paper proposes an innovative fast fault diagnosis (FFD) method for analyzing different fault cases and reconstructing...
This paper focuses on the rapid regression modeling research for the design optimization of Permanent magnet synchronous linear motors (PMSLM) which are applied in the linear motion machines. Based on the Finite Element Analysis (FEA), the initial PMSLM model is built and the modeling data of optimization are obtained. Then, the machine learning regression algorithm named K-Nearest Neighbor Algorithm...
We demonstrate a dual-frequency Yb3+-doped distributed Bragg reflection (DBR) fiber laser, using a homemade low reflectivity dual-wavelength fiber Bragg grating (FBG) as one of the cavity mirrors. The dual-frequency laser output is at 1063.09 nm and 1063.21 nm, with a beat frequency of 32.014 GHz.
In this paper, we propose an effective approach to estimating a near-surface lighting function from a limited number of images captured under different illuminations. Unlike classical methods relying on simplified parallel lighting model or near-point lighting model, our approach directly focuses on the much more realistic near-surface light source and formulates it as a regular grid of near-point...
In a Y-shaped passive linear array sonar (PLAS) system, three sensor legs are configured and report bearings-only measurements, which are complicated due to bearing-ambiguity. As many ghost targets exist, multi-target tracking using a PLAS system is a challenging problem, especially when target miss-detection and clutter are also considered. In this paper, a distributed method is proposed to track...
With the advent of emerging technologies such as the Internet of things and big data, the pace of transformation from traditional agriculture to modern agriculture will continue to be accelerated. Given that traditional agriculture exists many problems currently, such as low utilization of irrigation water and backward in management level, the integration of water and fertilizer irrigation intelligent...
This paper presents a Semantic Attribute assisted video SUMmarization framework (SASUM). Compared with traditional methods, SASUM has several innovative features. Firstly, we use a natural language processing tool to discover a set of keywords from an image and text corpora to form the semantic attributes of visual contents. Secondly, we train a deep convolution neural network to extract visual features...
This paper presents a high-power Continuous-mode Doherty Power Amplifier (C-DPA) for base-station applications. By utilizing de-embedded models of active devices and allowing the two transistors modulate each other at harmonic frequencies, the proposed C-DPA exhibits improved power, efficiency and bandwidth. Based on the proposed technique, a demonstrating 200 Watt C-DPA was designed over 1.7–2.7...
In recent years, freelancer economy has been a new normalcy. In the supply-driven freelancer marketplace, people sell their capabilities or labor as service on the internet platform to help others with some particular micro-tasks. As this kind of human service ecosystem is at the fast growth stage, it is inundated with a variety of services whose quality is uneven. Quite often, when facing these services,...
This paper presents a digital predistortion (DPD) solution using multiple band-limited feedback signals for the characterization of wideband power amplifiers (PAs). By acquiring the feedback signals with band-limited filter and several different local oscillator frequencies, the feedback bandwidth is constrained to be much less than the bandwidth of input signal. Then the PA's forward model is extracted...
Internet of Things (IoT) is rather prevalent in many manufacturing and smart city applications, while localization is a premise for many other processes, varying from ordering objects in manufacturing lines to locating books on bookshelves. Radio Frequency Identification (RFID) based localization is of great interest in many IoT applications. Synthetic aperture RFID, due to its anti-noise capability...
The ability to detect which wearables and smartphones are on the same body has the potential to support a wealth of applications, including user authentication, automatic data synchronization, and personalized profile loading. This paper brings this feature to commercial off-the-shelf (COTS) wearables and smartphones, by creating a virtual “on-body detection sensor” based on devices' inherent wireless...
Internet of Things (IoT) devices are largely embedded devices which lack a sophisticated user interface, e.g., touch screen, keyboard, etc. As a consequence, traditional Pre-Shared Key (PSK) based authentication for mobile devices becomes difficult to apply. For example, according to our study on home automation devices which leverage smartphone for PSK input, the current process does not protect...
In order to improve the starting torque of the soft start of the asynchronous motor and reduce the starting current, a soft starting method from the second frequency to the power frequency starting is proposed. On the basis of this theory, the simulation model of soft start system of asynchronous motor graded frequency conversion control is built by Simulink simulation function of MATLAB. The simulation...
This paper focuses on the environmental and economic optimal operation of microgrid in grid-connected and island modes. Considering the operation constrains of microgrid, the constrained multi-objective optimization problem (CMOP) is built with the fuel cost, depreciation expense and emission cost of distributed generators as optimization objectives. The comprehensive learning particle swarm optimization...
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