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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
An original method to limit the accuracy decline of timing error estimation in fast frequency hopping/BFSK time tracking caused by the reduction of hops per time is proposed. The proposed method in a first step quickly reduces the timing error to a desired range by means of an improved damped oscillation algorithm. Then tracking is achieved by using maximum likelihood algorithm. The theoretical characterization...
Striking analogies between human language and the immune system was first suggested by Jerne, an immunologist, in his Nobel lecture. Inspired by Jerne's opinion, we re-exploit these analogies between them, and propose that words can be regarded as B cells. Based on this proposed analogous comparison, a multi-word-agent autonomous learning model (MWAALM) is designed and implemented to learn the strengths...
To improve the ride comfort of internal combustion engine powered vehicle, it is an effective method to employ the proper Powertrain Mounting Systems (PMS) to reduce the vibration transmitted from the powertrain to the vehicle chassis. The parameters of PMS have important influence to the performance of vibration absorption. Simulated Annealing (SA) is an effective optimization method and is widely...
In this paper, a novel visual activity recognition algorithm based on the depth contour image and nearest neighbor (NN) classifier is presented, where the depth contour image is acquired by solving algebraic matrix equations in terms of the newly-defined Spatial Motion Accumulative Image (SMAI) and Temporal Motion Accumulative Image (TMAI). More precisely, firstly, SMAI and TMAI are defined based...
This paper presents an artificial neural network (ANN) model for the prediction of melt rate of the improved Vibrating-electrode Electroslag Remelting (VESR) process, optimization of the proposed ANN with respect to different train algorithms, transfer function, and number of the hidden layer neurons is performed. The comprehensive analysis of the prediction error and the correlation coefficient shows...
This paper discusses robust L2 – L∞ filter design for a class of stochastic systems with time-varying delay. The aim is to design a full order filter such that the error system is asymptotically mean-square stable and a prescribed level γ is satisfied. Both filter analysis and synthesis problems are considered. To reduce the conservatism of the results, the time delay varies in an interval [h1,h2]...
With the development of network technology and information technology, the complexity of the information system, information security defense has become a hard nut to crack for modern society. The information security defense is a multidisciplinary field involving management, technology, operation and so on. Based on the military balance operation mechanism, this paper studies the information system...
With the continuous development and improvement of modern information technology and network technology, information security defense is increasingly complex, and the traditional information security is turning into non-traditional security gradually. Because the target of attackers and defenders is oppositional and their strategies are interdependent, the selection of optimal defense strategy is...
In cognitive radio system, the efficiency of spectrum handoff is always a challenge. To conquer this difficulty, classification and matching scheme is adopted. The users are classified according to their type of services at first, and then a reliable channel evaluation is designed to match the classifications of the users', at last, a dynamic programming (DP) algorithm is adopted to decrease the latency...
Underactuated and weakly coupled mechanical systems of power integrators is ubiquitous in physical implementations. Due to the presence of negative communication weights, whether bipartite output consensus can be reached remains unknown. Thus, it is of practical significance to investigate this issue. Furthermore, with input noises, an adaptive disturbance compensator, along with the technique of...
In this paper, an algorithm for retrieving wind speed from rain-contaminated X-band nautical radar images is presented. Two third-order polynomial functions for the relationship between overall average backscatter intensity and wind speed for rain-free and rain-contaminated images based on least-squares fitting with rain-free and rain-contaminated data, respectively, are derived. Radar images are...
In this paper, a novel method for slip detection using a capacitive sensor is proposed. We perform the Discrete Wavelet Transform (DWT) on the original signals of sensor. By comparing different wavelets, we find that the Haar wavelet is the most suitable to separate different frequency components. After performing the DWT by using the Haar wavelet, the separated high frequency components are pairwise...
Spectroscopic data often suffers from common problems of bands overlap and random Gaussian noise. Spectral resolution can be improved by mathematically removing the effect of the instrument response function (IRF). In this paper, a novelty model is proposed to deconvolute the measured spectrum with the sparsity regularization. The proposed model is solved by iteratively reweighted least square method...
This paper employs the Chan-Vese (CV) model into aircraft objective extraction for binocular stereo vision to enable autonomous take-off and landing of unmanned aerial vehicles. Fundamental principles of the CV model and the level set method are summarized as minimizing energy function. Eventually, a flying UAV objective extraction algorithm is proposed and developed by using the CV model. Two sets...
Link prediction plays an important role in data mining, which aims at estimating the probability of the connection between two unlinked nodes according to the information of network structure. Many link prediction methods have been proposed so far, while most of them only consider the node similarity based on individual information of common neighbors. In the perspective of interactions between common...
In this paper, in order to evaluate quantitatively the effect of classroom teaching, an information communication model had been established based on modern information theory and Floridi's semantic information formula, under some hypotheses, and some logical conclusions had been gotten. An important theoretical approach had been proposed to analyze the improvement of the teaching effect.
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