Applied Mechanics and Materials Vols. 602-605

Abstract: Aiming at removing interference field in the geomagnetic navigation, the technology of interference magnetic field measurement and error compensation are studied. The scheme of error measuring and compensating are designed, the compensation model is established based on the magnetic dipole theory, its calculation method is designed, experiments prove that this technology is of high accuracy and its process is simpler, it provides a new way for eliminating interference in the aeromagnetic survey.

Abstract: With the continuous development of the ultrasonic detection technology, ultrasonic time of flight diffraction (TOFD) method has been widely applied. The paper investigated the TOFD technique in the detection of natural defects. TOFD detection experiment is established in Lab. The finite element analysis simulation of A-scan signal and ultrasonic TOFD technique in the detection of the longitudinal arrangement of pores defects within the weld specimen transmission are studied. The feasibility and correctness of the finite element analysis model are verified by comparing the experimental signals with the simulation signals.

Abstract: This paper investigated the ultrasonic mechanism of Time of Flight Diffraction (TOFD) by finite element analysis for the better applications of ultrasonic TOFD (Time of Flight Diffraction) detection technology. The welding steel plate with the artificial defects is used in the finite element analysis model. The experimental A-scan signal with higher noise is filtered by the wavelet transform, which can clearly show defective diffracted wave. The software simulation of ultrasound is used to present the propagation process of ultrasonic signal inside the sample. Simulation results are compared with the experimental results, which shows valid basis for the practical TOFD ultrasonic detection methods in industrial applications.

Abstract: With the rapid development of smart devices and wearable devices, gesture recognition based on the acceleration sensors is becoming one of the current hot research topic.In order to resolve the high complexity of time and space issues in gesture recognition based on acceleration sensor,this paper presents a feature extraction and matching method based on the key points.Experiments show that the method could greatly reducing the computational complexity.

Abstract: Nowadays, face recognition has the rapid development with more in-depth study and more achievements. Many achievements have been applied in different fields which improves that the study of face recognition is valuable and meaningful. In this paper, a face recognition system based on the video stream is implemented. And the face recognition system consists of the following modules: face adding module, face recognition module, information querying module and global settings module. Among the all modules, face recognition modules is the core of the whole system in which completes the most of the work of the whole system. In practice, the results of the system are valuable and the system is able to meet the requirements of some applications.

Abstract: This paper presents an intrusion detection method based on the sparse SVM (support vector machines). This algorithm is to achieve sparse expression for the network data by constructing a sparse base, which could reduce the number of data to be processed, and then use the SVM algorithm to carry out the classification, thus achieving the efficient intrusion detection for the network access behavior.

Abstract: With the increasing number of internet user, the authentication technology is more and more important. Iris recognition as an important method for identification, which has been attention by researchers. In order to improve the predictive accuracy of iris recognition algorithm, the iris recognition method is proposed based feature discrimination and category correlation. The feature discrimination and category correlation are calculated by laplacian score and mutual information. The formula about feature discrimination and category correlation are built. Aiming at texture characteristic of iris image, the multi-scale circular Gabor filter is used to feature extraction. The computational efficiency of algorithm is improved. In order to verify the validity of the algorithm, the CASIA iris database of Chinese Academy of Sciences is used to do the experiment. The experimental results show that our method has high predictive accuracy.

Abstract: The structure of DNA binding proteins is identified that has great significance for the study of gene expression regulation mechanism.The new recognition method is proposed to identify the super-secondary structure and structure domain of DNA-binding protein in this paper. The nucleotide transition probability is calculated by the known DNA-binding protein binding locus sequence. Using mouse data which downloaded from the TRANSFAC establish the binding protein super-secondary structure recognition models. The probability score is calculated by the transition probability of the binding site and the background. This method differs from the conventional method, It is neither the amino acid sequence of the protein, nor the use of homologous proteins. In order to verify the validity of the algorithm, 10 DNA-binding proteins of drosophila and yeast are used to do the experiment. The experimental results show that our method has very good recognition result.

Abstract: How to implement the system monitoring in the process of athletes training, diagnosis athletes body function scientific, technical characteristics and psychological state, effectively improve the training ability of athletes, prevent excessive fatigue or overtraining, is an urgent problem in the field of sports science. Database design of this paper is to develop function monitoring system on the basic work. Firstly, analyses the process and content of monitoring; Then, the conceptual structure design and physical structure design. Among them, the conceptual structure design using E-R diagram describes the entities and relations; logical structure design the table structure of the athletes category, athletes, physiological indicators, biochemical indicators, morphological function indicators, and other table structure. The content of this paper plays an important role in improving the information management of sport.

Abstract: You can find out the law of matter and energy metabolism when you are active by means of monitoring the athletes’ physical function, and the law can provide a theoretical basis for the training to achieve scientific training ultimately. Monitoring system can achieve a comprehensive information management for monitorship; data persistence is an important work of building monitoring system, and the paper researches on the NHibernate technology that based on .Net. First, data structure design was conducted based on the SQL Server database management system; then, you can study NHibernate architecture through the graphics; finally, you can carry on persistence design on the "Physiological Indicators" Table according to the persistence steps of NHibernate. Result of this study can be applied to the field of athletic training and has important implications for improving athletic performance, promoting sports development and so on.