Advanced Materials Research Vols. 605-607

Abstract: First, the background, significance and general implementation of the image definition identification are introduced. Then, basic theory of wavelet transform and neural network is expounded. An identification method of image definition based on the composite model of wavelet analysis and neural network is suggested．The two—dimensional discrete wavelet transformation is used to filter image signal and extract its brim character which is input into BP neural network for identification. 4 layers of BP neural network are constructed to perform image definition identification. The compound model is first trained by 90 images from the training set, and then is tested by 87 images from the testing set. The results show that this is a very effective identification method which can obtain a higher recognition rate.

Abstract: Nowadays, diagnosis for epilepsy depends on many systems helping the neurologists to quickly find interesting segments from the lengthy signal by automatic seizure detection. However, we notice that it is very difficult, to obtain long-term EEG data with seizure activities for epilepsy patients in areas lack of medical resources and trained neurologists. Therefore, we propose to study automated epileptic diagnosis using interictal EEG data that is much easier to collect than ictal data. The research, therefore, aims to develop an automated diagnostic system that can use interictal EEG data to diagnose whether the person is epileptic. To develop such a system, we extract from the EEG data three classes of features which respectively are Petrosian fractal dimension, Higuchi fractal dimension and Hjorth parameters and build a Probabilistic Neural Network (PNN) fed with these features. Meanwhile, we also broach demand for data standardization by analysis with EEG of epileptic patients.

Abstract: Mangroves are among the richest ecosystems in terms of natural resources. Because of the similar spectral characteristics and complex spatial structure among different mangrove communities, it is still difficult to extract accurate mangrove communities covers from the very high resolution (VHR) satellite images, based on the conventional pixel-based classification methods. Object-oriented classification methods are proposed to process VHR images because they can incorporate as much information on spatial neighbourhood properties as possible into the classification process. On the basis of object-oriented classification method, the paper extracted the Zhangjiangkou mangrove communities using Quickbird image, through image segmentation, merge segmentation, computing and selecting attributes, K Nearest Neighbor classification, et al. Mangrove communities were eventually divided into six types, i.e. Aegiceras corniculatum, Phragmites karka, Kandelia candel, Cyperus malaccensis, Avicennia marin, Aegiceras corniculatum & Kandelia candel. The extraction accuracy is 85.7%. In this paper, through many experiments, the scale level was determined to 50, and the merge threshold was chosen as 90. In this case, the resulting segments of mangrove communities had a obvious spatial characteristics, and the boundary can be delineated well, which would be help for later information extraction. Considering mangrove communities characters, the following object attributes are generated and added : NDVI, texture, and AVGBAND. This research shows very encouraging results for the use of image segmentation and Quickbird data for mapping mangrove communities.

Abstract: The main purpose of this paper is to present the possibilities of applying data mining methods to the problem of structural identification of complex systems, focusing on the static structural system properties. In this paper we will define the main set of problems of structural identification and propose the way of their solution by means of data mining methods. A specific solution to selected problems is demonstrated on the model designed in the Matlab program. In the framework of experiment based on the results of simulation, we will identify the existence of internal relations in the system and analyze the degrees of their dependencies.

Abstract: In order to analyze inter-harmonic parameters accurately, a new detecting method was proposed on the basis of nonlinear optimization and AR modern spectral estimation. The AR model was used to produce a rough estimated value of harmonic parameters and then the signal model was set. By using the optimization algorithm which based on damped nonlinear least squares method and conjugate gradient method, the parameters can be estimated more accurately. The combined method not only solves the problem of inaccurate estimate by AR power spectrum analysis, but also solves the problem of how to set the signal model and to choose initial value. The simulation results show that in noisy environments, this method is effective and the accuracy which is 101 to 104 times higher than the interpolation Hanning window method.

Abstract: Developing effective ranking algorithms for keyword search over relational databases is a hot study topic. Ranking algorithm largely determines the performance of a keyword search system. Good ranking algorithms not only provide user with the most relevant query results but also provide fast response time. A number of existing ranking algorithms were classified and compared. Several representational algorithms were summarized and analysed in detail. The principles, advantages and disadvantages of these algorithms were discussed. Finally, prospect for future work, especially the intelligent trends, in ranking were discussed.

Abstract: In view of the characteristics of threaded binary tree and visualization of the problem,,it is realized the visualization of binary tree by using object-oriented method and the features of complete binary tree, and then achieved the visualization of threaded binary tree by using the COM component technology and the Bezier curve. This makes the tree related operations more intuitive, nice interactive performance, real-time.

Abstract: This system get the automobile status data and GPS location information by the Android phone with the automobile OBD + ELM327 Bluetooth to communicate; On the one hand, through the Android mobile terminal display, and at the same time these data uploaded to a remote server through the 3G network. This system can become a substitute for expensive automobile terminal, but also can become a automobile fault detection, effectively reducing the cost..And at the same time , GPS positioning and remote server can make the car operating units to monitor the failure of the automobile and to optimize the scheduling of automobiles.

Abstract: Visual simulation's fidelity is used to verify the similar degree of simulation system that simulates real word. How to improve the similar degree of visual simulation is the key way to meet the simulation performance. Based on the F-AHP method, this work establishes the evaluation model of visual simulation fidelity of bridge-type grab ship-unloader, giving determining method of evaluation indicators, establishing membership function of each indicator and determining the weight. Finally, the case study is taken to illustrate how to evaluate a specific visual simulation with the method proposed in this work, and the evaluation result shown the fidelity of the virtual scene we gave is not so well.

Abstract: This paper proposes a comprehensive risk assessment index system for Smart Grid cyber security, including five first-level indicators such as entity and environment security, management security, data security, software security and communication security. Every indicator includes specific sub factors. The cyber security risks for Smart Grid are emphatically analysed. The paper integrates AHP with Fuzzy evaluation method, through which the weight of each layer and the risk assessment matrix are determined. Practical case study shows that cyber security level of the Smart Grid is good, but it needs improvement and reinforcement in organization system, data signature, data backup and intrusion detection system.