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Aiming at the Smart meters failure prediction problem and based on historical failure data of smart meters in a region of Xinjiang, a smart meter fault identification model is proposed based on C5.0 algorithm: first, after data preprocessing of smart meters history failure database is divided into two parts, training set and testing set; secondly, using C5.0 algorithm for data mining of training set,...
Recommendation algorithm has received extensive attention in recent years. It is very difficult to directly apply traditional recommendation algorithm to offer personalized recommendation based on mobile users' browsing behaviors and ensure security of mobile users' data. In this paper, through analysis of mobile users' browsing behaviors, we obtained the reason why traditional recommendation based...
Domain adaptation aims to deal with a kind of problem, in which the distribution of training scenarios and testing scenarios are different. Traditional solutions consider this problem in the point of the distribution matching. For the problem of domain adaptation of image classification, this paper proposes a new collaborative representation from the view of image representation. First, all source...
Convolution neural network can gain optional solution by training dataset many times. But persons without experiments are very difficult to seek a good learning rate or a good convergence criterion. We propose a framework, which only are composed by many cheap computers, and by improved convolution network to handle this problem. In the framework, we use terminal server to dispatch initial parameter...
Landslides cause great harms to transmission line corridor in mountainous area. This paper uses a method of identifying landslides to evaluate harmfulness to power towers. First, the mountainous area is classified as nine categories in terms of polarimetric decomposition techniques and clustering algorithm. Second, landslides are detected based on the change of areas before and after a landslide with...
Affected by the special geographical environment and climate factors, some cities waterlogging occurred frequently, causing serious economic losses and social impacts. Because of certain topographic factors, once the heavy rain coming suddenly in the city, many of the major streets will be flooded by the water, how to better prevent the occurrence of waterlogging, or predict the depth of waterlogging...
This paper addresses a novel direction-of-arrival (DOA) estimation method for noncircular sources, such as BPSK and OQPSK modulated signals, in the presence of multipath propagation. The group steering vector of each coherent group is obtained first, and then both forward and backward group steering vectors are exploited to estimate the DOAs of the corresponding group by constructing a composite matrix...
We present a method to remove salt-and-pepper noise for single images. The method consists of two stages, noise detection and noise removal. In the first stage, a detector identifies corrupted pixels; in the second stage, an algorithm employs a nonlinear isotropic diffusion to suppression noise, which diffusion is only for those corrupted pixels. We apply our method to a test set containing five images...
The joint Bayesian method is an effective method for face verification. However, it is insufficient distinguishability for this method to calculate the similarity between different samples. To address this problem, in this paper, we proposed an improved similarity metric based on joint Bayesian for face verification. The proposed method defines two novel similarities for two samples based on joint...
Latent Dirichlet Allocation (LDA), is heavily cited in the machine learning literature, but its feasibility and effectiveness in information retrieval is mostly unknown. Learning to rank is useful for document retrieval, it uses feature vector to rank, but there is no feature about document topic. Our paper combines LDA and learning to rank, adds a topic feature into the feature vector of learning...
The blind can only get perceptive and audio information. Mobile devices could provide the blind great help. This project deals with a new android-based blind reader system designed for the blind to get photocopy information. However, it is difficult for the blind to locate and select items visualized using touchscreen. So this paper presents non-visual interaction which combines auditory interface...
Based on Parallel Combinatory Spread Spectrum (PCSS) communication system, an improved PCSS system is proposed with PN sequences serial-parallel combinatory connecting. Using the character of internal memory between information data, optimization treatment is done in the receiver. The system model is built and simulated in AWGN channel, and the properties and error bit probability are discussed. The...
Medical Big Data (MBD) is all concerned with the medical related bio-informatics data. The importance of medical investigations for disease identification and complications highly depend upon the quality data. This scientific era is the age of digital imaging and information processing. For every individual the medical record is collection of important data. Due to the smart telecommunication technology...
The Factored 3-way Restricted Boltzmann Machine has encoded the image transformation successfully. But when utilize the code to unknown image, the result was much affected by the feature of training samples. Based on the model, we separated the transformation feature out of the hidden representation and designed a new probabilistic model with gate for learning distributed representations of image...
The brain-inspired spiking neurons are more biologically plausible and computationally powerful than traditional rate-based artificial neurons. Most of the existing spiking neuron based applications assume noise-free condition for learning and testing. However, noise widely exists in the network of spiking neurons and the neural response can be significantly disturbed by different types of noise....
This paper explores another way, which combines Artificial Potential Field (APF) and Fuzzy Neural Network (FNN) for the real-time globally optimized path planning in a dynamic environment. This method used Fuzzy Logic to establish the space model, then combined APF and FNN to search for the shortest path and avoid the obstacles smoothly in a dynamic environment. The 3D simulation, which performed...
This paper proposed a secure and fast image encryption algorithm which is composed of permutation and substitution of pixels. In order to eliminate the relation between adjacent pixels in the image sufficiently, firstly, the sequence which derives from Logistic map is sorted as an ascending order, and the transformation function of element's index can be obtained in this process. Secondly, perform...
The Ray-Casting algorithm is an important method for fast real-time surface display from 3D medical images. Based on Ray-Casting algorithm, a novel parallel Ray-Casting algorithm is proposed in this paper. A novel operation is introduced and defined as a star operation, and star operations can be computed in parallel in the proposed algorithm compared with the serial chain of star operations in the...
The traditional path-planning algorithm is used for static environment only. By presenting a novel method for optimal path planning in a dynamic environment, a solution based on fuzzy logic, Ant Colony System (ACS) algorithm and Grid method were discovered. The studio Microsoft Robotics Developer was chosen to perform the 3D simulation of this method and the result shows that the method discussed...
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