Applied Mechanics and Materials Vol. 595

Abstract: With the rapid development of the electronic technology, multimedia technology and network technology, video surveillance system is going to the embedded, digital, networked direction. Taking full advantage of LSI and networks of scientific and technological achievements, the embedded video surveillance system achieves delicate volume, stable performance, facilitates the communication of the surveillance equipment.The project is in arm microprocessor platform, and porting embedded linux system in it. It completes video capturing, compression, transmission and control tasks. The hard devices select the ARM9 (S3C2410) as the main processor in the system; and the USB camera as the device of video capture. In order to reduce the cost of the product, Based on the architecture and with the open source software in linux, the whole embedded video surveillance system is implemented.

Abstract: This research proposes a novel wireless RFID-based thermal convection type inclinometer by using non-floating structure without a cavity in the substrate. Four new ideas are presented. The first one is to make the device on a flexible substrate, thus it can save more energy than the traditional silicon. The second one is to integrate both an inclinometer and a wireless RFID antenna on the same substrate, such that it is a wireless device and very convenient for usage. The third idea is to fill xenon gas in the chamber with hemi-spherical or hemi-cylindrical shape instead of the previous one with carbon dioxide and rectangular shape. Because the xenon gas would not produce oxidization effect to the heater, so it would be more reliable. The fourth idea is to use non-floating structure instead of the floating one. The results by using floating structure with xenon and CO₂ gases are studied the first; but the sensitivity performances are not good. Note that the sensitivities for the proposed non-floating structure by using hemi-spherical chamber filled with xenon and CO₂ gases are better, and the one of the former is better than the latter by 70%. On the other hand, the response speed (step-input of tilted angle) by using hemi-cylindrical chamber with xenon gas is the quickest, the average response time is 545μs, while the hemi-spherical chamber filled with CO₂ is the slowest, and the average response time is 748μs.

Abstract: Tea tree is the general term for many species of melaleuca plants. The essential oil or liquid extracted from Australian tea tree can be added to cosmetics and care products. The experimental parameters of solvent extraction are the key factors influencing the antioxidant activity of Australian tea tree. This study used the orthogonal array of the Taguchi method to plan the experiment. The quality data obtained from experiment were analyzed by the factor effects of the Taguchi method to find the significant experimental parameters influencing the antioxidant activity of Australian tea tree, and obtain the optimal experimental parameter combination of solvent extraction for antioxidant activity. Finally, the reliability of the experiment was validated by a confirmation experiment. According to the experimental results, this method was applicable to the optimization problem of the experimental procedure. The optimization can be implemented for objective numerical analysis operation, saving on experimental consumables, time and cost.

Abstract: Objective To assess the effect and safety of aripiprazole and risperidone in the treatment of Behavioral and psychological symptoms of dementia (BPSD). Methods 68 dementia were randomly divided into aripiprazole group (n=34) and risperidone group (n=34) with a course of 8 weeks. BEHAVE-AD and TESS were used to evaluate the efficacy and adverse effect respectively before and at the ends of 8 weeks treatment. Their levels of blood glucose, total cholesterol (TC), triglyceride (TG), high Density lipoprotein–cholesterol (HDL), low density lipoprotein–cholesterol (LDL) and weight were measured at baseline and after 8 weeks. Results After 8 weeks treatment, the scores of BEHAVE-AD of patients in both groups significantly reduced (P<0.001),but there were no significantly difference between the two groups (P>0.05);there were few side effects in the two groups, but the weight gains, total cholesterol and LDL in risperidone group were higher effect than before treatment. The aripiprazole group had no significantly change. Conclusion The results suggest that aripiprazole is as effective and safety as risperidone for the treatment of BPSD, but aripiprazole has fewer effects on blood glucose, lipids and weight than risperidone.

Abstract: Rotator cuff tears are the most common disorder of the shoulders.agnetic resonance Image (MRI) is the diagnostic gold standard of rotator cuff tears. However, there are some dilemmas in the rotator cuff tears treatment. Clinically, surgical results of rotator cuff tears are sometimes different from MRI results of rotator cuff tears. The main purpose of this study is to build up predicative models for pre-operative diagnosis of rotator cuff tears There are two models of this study are proposed: logistic regression model and artificial neural network model. Patients are divided into two sets: Set1 is patients with full thickness rotators cuff tears. Set 2 is patients with partial thickness rotators cuff tears. The charts of 158 patients are completely reviewed and the collected data were analyzed. The results showed that the predictive accuracy of artificial neural networks model is higher than the predictive accuracy of logistic model. The application of this study can assist doctors to increase the accuracy rate of pre-operative diagnosis and to decrease the legal problems.

Abstract: The article adopted the multiscale Jensen - Shannon Divergence method for EEG complexity analysis. Then the study found that the method can distinguish between three different status (eyes closed, count, in a daze) acquisition of Alpha EEG time series, which shows three different states of Alpha EEG time series having significant differences. In each state of the three different states (eyes closed, count, in a daze), we aimed at comparing and analyzing the statistical complexity of EEG time series itself and the statistical complexity of EEG time series proxy data, finding that there are large amounts of nonlinear time series in the Alpha EEG signals. This method is also fully proved that the multiscale JSD algorithm can be used to analyze EEG signals. Attention statistical complexity can be used as a measure of brain function parameter, which can be applied to the auxiliary clinical brain function evaluation in the future.

Abstract: In this paper, continuously harvesting of a phytoplankton-zooplankton system with Holling I functional response is proposed and analyzed. Firstly, the existence and stability of equilibria are addressed; the global asymptotical stability of equilibria is investigated by the Lyapunov method. And then, the existence of bionomic equilibria and the optimal harvesting policy are discussed. Finally, the conclusion is given.

Abstract: This paper analyses the dynamics of a non-smooth predator-prey model with refuge effect, where the functional response is taken as Holling I type. To begin with, some preliminaries and the existence of regular, virtual, pseudo-equilibrium and tangent point are established. Then, the stability of trivial equilibrium and predator free equilibrium is discussed. Furthermore, it is shown that the regular equilibrium and the pseudo-equilibrium cannot coexist. Finally, the conclusion is given.

Abstract: A novel edge detection method based on anisotropic mathematical morphology and scale multiplication in nonsubsampled contourlet transform (NSCT) domain is proposed to obtain a superior and robust performance under heavy noise. One preliminary result is obtained using anisotropic morphological gradient of the low-frequency component, yielding a single-pixel response with few pseudo edges. Due to the great ability of NSCT to localize distributed discontinuities such as edges, scale multiplication results of high-frequency components can get rid of a large amount of noise and produce well-localized edge candidates. The final result is a fusion of the detection results of low-frequency component and high-frequency components. Detailed experiments compared with other state-of-the-art methods demonstrate that the proposed method has a superior performance of edge detection and is quite robust even under heavy noise.

Abstract: This paper presents the Multiscale Mutual Mode Entropy algorithm to quantify the coupling degree between two beta rhythm EEG time series which are simultaneously acquired. The results show that in the process of scale change, the young and middle-aged differ from each other in terms of the coupling degree of beta rhythm EEG and the difference grow clear gradually from 4th scale. So the Multiscale Mutual Mode Entropy can be used to analyze the coupling information of time series under different physiological status. Besides, as an indicator of measuring brain function, in the future it can also come to the aid of clinical evaluation of brain function.