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Convolutional neural networks show their advantage in human attribute analysis (e.g. age, gender and ethnicity). However, they experience issues (e.g. robustness and responsiveness) when deployed in an intelligent video system. We propose one compact CNN model and apply it in our video system motivated by the full consideration of performance and usability. With the proposed web image mining and labelling...
Reliable life is defined as the average operation time of power equipment in a given reliability, and it is a significant parameter in reliability evaluation. This paper presents a reliable life calculation method for SF6 circuit breakers. The reliability evaluation model is established based on Fault Tree Analysis (FTA) method. From FTA, all the bottom events which cause top event (failure of the...
Time-delay of tracker in photoelectric searching and tracking system reduces the tracking accuracy of the system. To solve this problem, a new modified "current" statistical model adaptive filtering algorithm is proposed to compensate the miss distance signal delay. Predicting the state information of the target in advance by adjusting the maneuvering frequency and acceleration variance...
Online education is a popular way for distance education in the world. The data of online education platform is explosively growing. The Big Data technologies can process and analyze the massive data and facilitate the user experience and teaching quality. This paper proposes an online education Big Data platform that aims at improving the quality of education by analyzing a large amount of data generated...
The massively parallel computation capability has made GPGPUs a promising platform for convolutional neural networks (CNNs). In this paper, we present HppCnn, a CNN library achieves both the high performance and portability on GPGPUs. In HppCnn, we propose a novel three-step approach to implement convolutional kernels using Nvidia cuBLAS efficiently. To overcome limitations of our three-step approach,...
This paper considers the identification problems of Hammerstein Box-Jenkins systems based on the hierarchical identification and maximum likelihood principle. After decomposing the Hammersetin Box-Jenkins systems into two subsystems, a maximum likelihood least squares based iterative algorithm is derived to interactively estimate the parameters of the two subsystems. The simulation results show that...
Identification of Martian surface minerals can contribute to understand the Martian environmental change and geological evolution as well as explore the habitability of the Mars. The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) aboard the Mars Reconnaissance Orbiter (MRO) is covers the visible to near infrared wavelengths along with enhanced spectral resolution, which provides ability...
Accurate terrain estimation is essential for unmanned ground vehicle (UGV) to achieve autonomous navigation. However, some existing approaches are difficult to reconstruct the 3D surface in real-time because of serious amount of computation. A method of environmental terrain estimation based on multi-scale radial basis function with a 3D lidar mounted on a moving vehicle was proposed in this paper...
This paper proposes a map building algorithm for navigation task of autonomous vehicle. A local 2D grid map is designed to convey three types of information (free space, obstacle and unknown). A refined RBPF-SLAM algorithm is established to build a large scale, accurate navigation map. Moving obstacle information is excluded in the final map, which provides better performance in vehicle's online localization...
A novel deployable array mechanism is proposed in this paper which provides a new concept for the future large SAR antenna for a spacecraft. This deployable array mechanism, which is composed by several main array panels and associate array panels, is able to expand in two dimensions with only one degree of freedom. The structure and the skeleton of the novel deployable mechanism are described at...
The focal distance is used to describe the degree of dissimilarity between focal elements in a basic belief assignment (BBA) by jointly using the focal elements' composition and their corresponding mass assignments. It has already been used in applications such as the design of the uncertainty degree of a BBA, and has been used as a criterion to remove focal elements in BBA approximations. The related...
In this paper, we propose a novel compressed sensing based joint detection and tracking algorithm, named CS-JDT algorithm, to track multiple targets for STAP radar system. A novel general similar sensing matrix pursuit (GSSMP) algorithm is proposed to reconstruct the whole radar scenario (DOA-Doppler plane) for each range gate at consecutive scans. The proposed GSSMP algorithm addresses several problems...
The ranking fusion (or aggregation), which is an important branch in multiple attribute decision making, combines multiple rankings to a single one for decision making. Many traditional ranking fusion methods are implemented through heuristic ways to reduce the computational cost. They all have their own pros and cons. In this paper, a new hierarchical ranking aggregation method is proposed. All the...
With the development of IEC 61850 smart substations, emerging cybersecurity vulnerabilities in supervisory control and data acquisition (SCADA) systems are becoming an urgent engineering issue for modern substations. This paper proposes a novel intrusion detection system (IDS) tailored for cybersecurity of IEC 61850 substations. The proposed IDS analyzes multidimensional physical knowledge and behaviors...
In this work, a two-dimensional terahertz microstrip reflectarray with frequency scanning beams is designed and simulated. Demonstration of the proposed reflectarray is based on single-layered elements with a linear phase delay. An operating bandwidth of over 32% is achieved. The beam scanning angle of θ is varied from 50° to 22°, while ϕ is varied from 25° to 20° as frequency changes from 0.225 to...
The problem on the fluctuation of instantaneous availability (IA) is mainly considered for the renewal model with three states (up, delay-repair and repair) under exponential distribution. A set of novel fluctuation theories including the basic definition and decision lemmas of fluctuation function is created to treat the problem. Sensitivity analyses are used to show influences on fluctuation with...
In the aeronautical industry, there are multiple diagnosis methods available to improve the accuracy in diagnosing malfunctions due to degradation of rotating components in an engine. This study introduces an improved deep learning algorithm — ad_DBN, it is based on the Deep belief network (DBN) method, mimics the multilayer structure of a human brain. In addition to this, it adjusts connection weights...
This paper considers pointwise stabilization of an Euler-Bernoulli beam equation where two kinds of feedback are jointed with each other for the arbitrary internal point in the boundary conditions. The asymptotic expressions of the eigenvalues are obtained for all sufficient large positive integers. And then the asymptotical stability and exponential stability have been analyzed by the characteristic...
This paper develops an actuator failure accommodation control scheme for an underactuated ship dynamic system model with uncertain actuator failures, using a switching control design. Such a design employs multiple controllers, each of which is designed for each failure pattern in the failure pattern set of interest. To stabilize the system under uncertain actuator failures, control signal selection...
We present an approach that exploits hierarchical Recurrent Neural Networks (RNNs) to tackle the video captioning problem, i.e., generating one or multiple sentences to describe a realistic video. Our hierarchical framework contains a sentence generator and a paragraph generator. The sentence generator produces one simple short sentence that describes a specific short video interval. It exploits both...
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