Applied Mechanics and Materials Vols. 58-60

Abstract: This study aimed to explore the influence of intention of Internet use, gender and grade on Internet use, adolescents’ mental health and the relationship between them. 323 middle school students completed the full survey. Results: (a) there was a significant negative correlation between Internet involvement and adolescents’ mental health; (b) for adolescents with different intentions of Internet use and of different genders, Internet involvement, mental health and the relationship between them were different. Conclusions: (a) Internet involvement had negative influence on adolescents’ mental health; (b) intention of Internet use and gender could influence Internet involve- ment, adolescents’ mental health and the relationship between them, while grade had no influence.

Abstract: Defects in the specimen of missile engine shell was detected by thermal wave image technology in this paper. In order to gain intuitionistic and accurate space structure image of the detected object, subtracting background and high-frequency emphasized filtering method were used to enhance the image quality. Then the defect was segmented from the background using particle swarm fuzzy clustering algorithm, while the defect size and depth were identified quantitatively. On this basis, 3D reconstruction of the defect by thermal wave image was recognized by Volume Rendering method. The results show that the precision of the defect quantitative identification is higher, and 3D reconstruction result is well, which help us to observe the location and size of defects intuitionisticly.

Abstract: Generally, when we optimize the object code of expression in source program, we get the optimizing code in the binary tree of this expression. Expressions in source program are in infix form, while the prefix form is more efficient for the binary tree. Hence this paper is to provide an effective transition algorithm of arithmetic expression from infix form to prefix form.

Abstract: This paper proposes a scheme of H.264 high-definition encoder/transcoder . The system is based on ASIC. Application-specific high-definition encoding/transcoding chip, software control module, HDMI interface, analog video/audio input interface and ASI input/output interface ,etc. are discussed in detail in this paper. The system also provides the Ethernet interface, which is used for real-time monitoring of coding/transcoding system . The proposed scheme with the property of good real-time and low cost accord with the need of high-definition digital TV front-end system.

Abstract: This paper studies Natural sciences Academic research level Appraisal method. first, Reference a large number of relevant scientific research index system literature, propose level of scientific research of natural science disciplines comprehensive evaluation index system. And using network analysis (ANP) and factor analysis to the level of scientific research on these subjects to rank college and analysis. Finally, we use the combination of ANP and factor analysis assigning weights to the weight of two methods reasonably together. In this paper we make a simple plan, the minimum deviations squares as the objective function， comprehensive evaluate existing 10 universities part academic research level, access to comprehensive score and ranking.

Abstract: Intelligent tracking system based on video recording problem is a key technique in computer vision and research focus, a lot of engineering applications and video tracking technology has a close relationship. This system is a development platform for the ADSP-BF533 core, together with the VisualDSP + + integrated development and debugging environment, implementation, and optimization MeanShift tracking algorithm to achieve real-time tracking of moving target shooting can be used in sporting events, intelligent monitoring. Test data show that the system can control the PTZ camera tracking rigid and non rigid shooting targeting.

Abstract: In this paper, 48 BP neural networks in series connection are constructed to predict the slab temperature, giving full consideration to the continuous heating process of the slab from inlet to outlet. In order to overcome the defects of BP algorithm, a hybrid training algorithm which combines GA method with BP networks is presented to improve the prediction precision of the model. It firstly optimizes initial weights and thresholds of BP networks with GA, and then trains the optimized networks by using BP algorithm. Simulation results show almost all errors of the test slabs are within the ±5°C limits, which indicates that the GA-BP model is verified to be valid and efficient, and is useful for online prediction and optimal control.

Abstract: Contemporary computed tomography (CT) technology offers the better potential of screening for the early detection of lung cancer than the traditional x-ray chest radiographs. In order to help improve radiologists’ diagnostic performance and efficiency, many researchers propose to develop computer-aided detection and diagnosis (CAD) system for the detection and characterization of lung nodules depicted on CT images and to evaluate its potentially clinical utility in assisting radiologists. Based on review of computer-aided detection and diagnosis of lung nodules using CT at home and abroad in recent years, this paper presented a new algorithm that achieves an automated way for applying multi-scale nodule enhancement, mathematical morphology and morphological Segmentation.

Abstract: Geometric constraints have an essential significance for point correspondence in computer vision systems. Traditional epipolar constraint in bi-ocular system faces two main problems: threshold-setting and corresponding ambiguities. This paper describes a collinear epipolar plane model and proposes a novel criterion for bi-ocular corresponding which allows setting a uniform threshold. Furthermore, it proposes the concept tri-correspondence units, proves their specificity against ambiguities, and discusses the merging of them.

Abstract: In this paper, split-step backward Euler method for stochastic delay Hopfield neural networks with Markovian switching is considered. The main aim of this paper is to show that the numerical approximation solution is convergent to the true solution with order. The conditions under which the numerical solution is exponentially stable in mean square are given. An example is provided for illustration.