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In order to achieve unmanned monitoring in the smart substation, the video monitoring technology has been introduced. However, it is still lacking of real-time image processing in its actual use. In this paper, a system based on the image tracking technology for fault monitoring of insulators in the substation is developed. In this system, an unmanned aerial vehicle (UAV) moving in a special trace...
Classification of Alzheimer 's disease (AD) from normal control (NC) is important for disease abnormality identification and intervention. The current study focused on distinguishing AD from NC based on the multi-feature kernel supervised within- class-similarity discriminative dictionary learning algorithm (MKSCDDL) we introduced previously, which has been derived outperformance in face recognition...
We report the demonstration of octave-spanning soliton microcomb states in high-Q Si3N4 microresonators. These states are shown to be thermally stable and therefore can be accessed with slow frequency tuning of the pump laser.
An increasingly important of military field and ocean survey is a swarm of AUV working in cooperation in an underwater which can minimizing physical risk to humans and cost. During long range operating task, how to maximum the cooperation efficiency of AUV swarm, to reduce the energy consumption, and to ensure the operating safety, all these are important for AUV community cooperation. This paper...
A standing-wave optical trap integrated with confocal Raman spectroscopy enables stable trapping and characterization of individual single-walled carbon nanotubes, graphene flakes, biological particles, SERS-active metal nanoparticles and other nanoparticles based on their increased Raman fingerprints.
Supercontinuum generation in dispersion engineered silicon nitride waveguides is used to perform frequency comb metrology by measuring the relative stability of two cavity-referenced optical clock lasers at 3.8×10−15 at τ = 2 seconds.
Distributed assembly permutation flowshop scheduling problem (DAPFSP) has important applications in modern assembly systems. In this paper, we address the DAPFSP with total flowtime minimization. According to the problem knowledge, we present a two-level representation which consists of product permutation and job sequences. A two-stage discrete invasive weed optimization (DIWO) algorithm is proposed...
With the continuous development of embedded technology, DSP and network communication technology, more and more human-computer interaction systems are applied in various enterprises. With the rapid development of the technology of semiconductor and ASIC chip, the performance of the embedded chip is also continuously enhanced. Video system is an integral part of human-computer interaction, and the...
Among the schemes proposed for failure recovery in software-defined networks, installing backup paths in advance is considered to be an effective approach to reduce the recovery latency. However, the pre-installation poses undue storage overheads on flow tables. In this paper, we propose a customized and cost-efficient backup scheme, which achieves fast recovery from any single-link failure. We introduce...
We demonstrate a frequency-stabilized, dual-Kerr microcomb that guides an integrated Vernier-laser optical frequency synthesizer, all derived from an RF clock. The synthesizer's stability is <10−12/τ with Hz-level tuning resolution across a 32 nm tuning range.
Service robots are gradually accessing to our daily life, and playing an increasingly important role in family, medical, office and other fields. Now, most robots provide services according to the receiving task instructions, so the provided services are single and inactive. However, people put a higher demand on the quality of robot services, and they hope robots can actively provide intelligent...
Texture classification has been extensively studied in computer vision. Recent research shows that the combination of Fisher vector (FV) encoding and convolutional neural network (CNN) provides significant improvement in texture classification over the previous feature representation methods. However, by truncating the CNN model at the last convolutional layer, the CNN-based FV descriptors would not...
Unsupervised learning with generative adversarial networks (GANs) has proven hugely successful. Regular GANs hypothesize the discriminator as a classifier with the sigmoid cross entropy loss function. However, we found that this loss function may lead to the vanishing gradients problem during the learning process. To overcome such a problem, we propose in this paper the Least Squares Generative Adversarial...
Currently, fusion algorithms for visual and inertia data have become a research hotspot in the field of computer vision and robotics. Compared to loosely coupled method, the tightly coupled one can obtain higher accuracy and robustness. In this paper, a tightly coupled visual-inertial system is implemented based on Multi-State Constraint Kalman Filter (MSCKF) [1] considering both accuracy and efficiency...
With the rapid development of social economy, the worldwide shortage of water resources is becoming increasingly prominent, especially in the coastal countries and regions of high population density areas. Market demand is driving the development of sea water desalination technology to the direction of large scale, high efficiency, low energy consumption and low cost. The paper uses solar radiation...
With the rapid growth of the economy, air pollution becomes increasingly serious and environment protection has attracted more attention. It is a fact that ships produce enormous air pollution emissions with high energy consumption and research has been constantly carried out on clean energy applications. LNG as an alternative clean marine fuel to run on ships is still at an initial stage. Different...
The aims of this study were to forecast change of Chinese social donation in recent years by grey Verhulst model to find out characteristics of social donation and grey correlation analysis which was proposed by Professor Deng Julong is used to detect of an interpersonal relationship between the number of social donations from oversea and the number of foundations. This paper provides a quantitative...
Wireless positioning in indoor environment is growing rapidly with the development of location based services. Among these technologies, fingerprinting positioning has been widely used, and its performance is satisfactory in precision requirement. The radio-map is the key to fingerprinting positioning. However, once the application scenarios changed, and the radio-map doesn't get updated in time,...
Aiming at the issue of extracting the incipient multi-fault of rolling bearing from the nonlinear and non-stationary vibration signals with a strong background noise, a novel fault diagnosis method based on improved tunable Q-factor wavelet transform (TQWT) combined with sparse representation is proposed. Firstly, the optimal Q-factor and decomposition scale can be determined by the improved TQWT...
A major concern of the large-scale deployment of location based services (LBSs) is the safeguards of the user's location data collected by service providers, since person's location information may imply sensitive private information. Most existing techniques have addressed privacy protection mainly for snapshot queries. However, providing anonymity for continuous queries is important, since users'...
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