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In this paper, the problem of single-channel blind source separation (SCBSS) of a mixture of two co-frequency phase-shift keying (PSK) signals with unknown carrier frequency offsets (CFOs) is investigated. Two SCBSS algorithms which are robust to CFOs are proposed to perform separation of the mixture signals. In the first algorithm, the phase changes of the received signals caused by CFOs are tracked...
Industrial Cyber-Physical Systems enhance physical devices with control, computing and communication abilities to provide smart solutions for industrial applications. In industrial applications, data acquisition is an important topic. Based on feedback data from sensors and equipment, industrial processes could be optimized either by experienced engineers manually or smart agents automatically. The...
With rapid improvement in information and communication technologies, industrial automation systems are under the revolution. Legacy industrial automation systems lack flexibility and interoperability due to multi-layered architecture. From industrial cyber-physical system point of view, a new system architecture is needed to allow vertical and horizontal integration between all devices and systems...
Task allocation is an essential part of many applications of WSANs. The key problem of task allocation in these systems such as intelligent minefield is how to obtain the node-target assignment. Mathematical model with task effectiveness as the evaluation index was built on the analysis of multi-node cooperative decision problem. Combing with the target's parameters and node's own status, the influence...
Dense views are needed urgently for autostereoscopic three-dimensional (3D) displays. A dense view synthetization system with three input views which are captured by a three-camera rig is presented. In the system, an image preprocessing step is presented before rendering dense views, in which both color and depth images are optimized by the proposed adaptive joint view optimization algorithm. Then...
In order to evaluate operational state of distribution network and facilitate the economic dispatch considering distributed generators, operational evaluation system of distribution network considering distributed generators is proposed. Furthermore, complex evaluation indicators of safety, power quality and economy are defined to evaluate distribution network with distributed generators as well....
With the rapid growth of hierarchical data in public opinion analysis, users are in urgent need of information visualization techniques to present the data in an intuitive way in order to reveal the characteristics of the data, understand the rules behind the data, and then assist them in decision-making process. This research makes improvement in the display insufficiency of leaf nodes in the radial...
One of the basic problems in cryptography is the generation of a common secret key between two legitimate parties in order to prevent eavesdropping. In this paper, we develop an information-theoretic secret key generation method that exploits the physical layer properties of the multipath channel in orthogonal frequency division multiplexing (OFDM) systems with time division duplexing (TDD), and in...
In geomagnetic aided navigation (GAN), the matching suitability of candidate matching areas (CMAs), which is an important influencing factor of matching precision, can be depicted by the geomagnetic features extracted from the geomagnetic map. Firstly, the definitions of thirteen commonly used geomagnetic features are given in detail. Then the quantitative relationship between the geomagnetic features...
China vigorously promotes the reform of the public hospital's management system which regards corporate governance as the core in recent years. However, the current situation of corporate governance in public hospitals remains optimistic. The paper defines the corporate governance of public hospitals and the management efficiency firstly. And the evaluation index system for corporate governance of...
This paper employs the possibility-satisfiability method which has been widely recognized in the field of social-economic decision-making. In order to further improve the accuracy of decision-making, it also innovatively introduces the method of support vector machines based on the chaotic time series. This method is used to predict the high point and the low point of the index in the possibility-satisfiability...
According to the concentrations of Cr, Cu, Zn, As, Cd and Pb in the latosol f rom the West of Hainan Island, the integrated pollution effect of heavy metals of these latosol is evaluated by the technique of single factor index and Hakanson ecological risk.The results show that the average concentration of Cr, Cu, Zn, As, Cd and Pb is 39.245 mg/kg, 36.937 mg/kg, 57.997mg/kg , 17.606mg/kg, 0.198mg/kg,...
One of the most important parameters that affects Photovoltaic (PV) panel performance of both grid connected system and off grid system is solar radiation received. The position and angle of a PV panel are two very important factors in PV system design. This paper investigates the optimal tilt angle of PV panels using mathematical method. Both short term and long term analysis were carried out to...
To date, many inverter topologies have been proposed in the literature with each exhibiting certain advantages and disadvantages. These inverters are however mostly proposed with their reliability indexes left unexplored. The main reason for a lack of reliability assessment might be a lack of existing quantitative techniques that can be used for computing a mathematical index for associating with...
Most of the reported Distributed Video Coding (DVC) schemes have a high time-delay in decoder which hinders its practical application in real-time systems. In this paper, we propose a new DVC decoder architecture based on MPI clusters and an efficient parallel algorithm for generation of the Side Information (SI) based on the structure. In order to achieve a balanced workload among the processors...
In this paper, a comprehensive evaluation of the strength of business model was constructed by combine with entropy method and BP neural network model and a specific algorithm was given. Through many examples, the scientific application of the model has been validated and the evaluation of the level of business has been obtained, the results show that the effect of finance, the effect of competition...
In this paper, we studied the block LZSS algorithm and investigated the relationship between the compression ratio of block LZSS and the value of index or length. We found that as the block size increases, the compression ratio becomes better. We also found that the bit of length has little effect on the compression performance, and the bit of index has a significant effect on the compression ratio...
There are two problems when conditional T-S fuzzy neural network is used directly in speech recognition system. One is the rule disaster problem, that is, the rule number will increase exponentially with the increase of input dimensions. Another problem is the network reasoning failure resulted from input dimensions too large. The paper presented an improved algorithm of T-S fuzzy neural network....
This paper presents a technique to evaluate unreliabilities and responsibilities of power market participants such as Gencos, transmission network and customers in a restructured power system. An optimal power flow (OPF) model subject to market and network constraints is used to determine load curtailment, generation re-dispatched and reserve dispatched. Reliability and economic indices for market...
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