One-way Hash function is not only widely used in the aspects of the digital signature, identity authentication and integrity checking, etc. but also the research hotspot in the field of contemporary cryptography. In this paper, it firstly utilized neural network and practiced the chaotic sequences produced by one-dimensional nonlinear mapping. And then, it constructed Hash function with cipherkey by means of altering sequences. One of the advantages of this algorithm is that neural network hides the chaotic mapping relations and make it difficult to obtain mapping directly. Simulation experiment showed that the algorithm have good unidirectionality and weak collision, and stronger confidentiality than the tradition-based Hash function, as well as easy to achieve.

Ultrasound Diffraction Tomography (UDT) is an important alternative to conventional B-mode imaging. Generally, in diffraction tomography, the most universal available computational strategies for reconstructing the object from its projections are interpolation in the frequency domain and interpolation in the space domain. They are analogous to the direct Fourier inversion and backprojection algorithms of straight ray tomography. In this paper two B-spline interpolation functions are introduced. Due to the computational expenses in the space domain interpolation, we apply the interpolation in the frequency domain to implement our new interpolation functions. We also compare our results with filtered backprojection algorithm result. The validity and feasibility of our method was tested using an agar phantom to mimic the human tissue, olive to mimic the cancer, and water to mimic the cyst. The experimental results show that this method has a promising impact in clinical applications.

In this paper, we have mainly analyzed the relationship between virtual prototype and concurrent design. Then we have concluded the model of virtual prototype and simulation method which based on field object. On the other hand, we have introduced the key technology which supports virtual prototype’s integration framework.

The objective of this paper is to mine the useful information from anger and anger-in life events questionnaire, Eysenck Personality Questionnaire (EPQ) , State Trait Anger eXpression Inquiry (STAXI) Scale, Trait Coping Style Questionnair (TCSQ), Perceived Social Support Scale (PSSS) , anger and anger-in predisposition questionnaire, anger and anger-in Physiological State Questionnaire (PSQ) and a number of test indicator data, Look for associated factors, fumble rule, guide people to do early prevention and treatment. In this paper the forming process of FP-tree of the Emotional database is analyzed, the algorithm of structuring frequent model FP-tree and mining frequent itemsets are designed, the database information scanned is recorded by using FP-Tree growing algorithm through state-trees, frequent itemsets meet minimum support required are generated through reducing the search space of project sets and scanning database only one. The mine of all factors associated with emotional disease is actualized. The experiment shows strong factors associated with emotional disease can be mined from database system by the mining algorithm bases on FP-Tree frequent itemsets. The mining results can provide scientific basis for the analysis, prevention and treatment of symptoms.

The focus of Bioinformatics research is usually on two aspects—genomics and proteomics, specifically, it’s starting from nucleic acid and protein sequences, analyzing the structural and functional biological information expressed in the sequences. Biological sequence alignment is one of the common problems, the Needleman-Wunsch algorithm based on dynamic programming is the most basic algorithm, and Edit Distance(Levenshtein Distance) algorithm is also widely used in DNA sequence alignment. Nowadays, there are large amount of improvements on the Needleman-Wunsch algorithm, while few on Edit Distance algorithm, so this paper focuses on revealing the effects of parallel design on optimizing the Edit Distance algorithm, and it also compares the two algorithms’ different significances in DNA sequence alignment objectively.

This article describes the method of using irregular triangulated network to establish DEM (digital elevation model).Based on the DEM model, the article established and gave the relevant models and methods on the water areas and storage capacity in real time simulation by computer for forecasting and controlling of storage capacity and other related terms.

This paper introduces the motion capture technology and its use in computer animation education. Motion capture is a powerful aid in the course of computer animation and a supplement to the traditional key-frame animation. We use professional cameras to record the motion of the actor and then manipulate the data in software to eliminate some occlusion and confusion errors. For data that is still not satisfying, using data filter to smooth the motion to cut some awry frames. Then we import the captured data into Motionbuilder to adjust the motion and preview the real-time animation. At last in Maya we combine the motion data and character model, let the character perform the captured data and add the scene model and music to export the whole animation. In the course of computer animation, we use this method to design the animation of military boxing, basketball playing and folk dancing.

Insufficient cuff pressure of tracheal tube (TT) increases the risk of secretions aspiration and consequent pulmonary infection, whereas high pressure may cause tracheal injury. It is very important to control cuff pressure at the optimal status for air care providers. Volume control ventilation (VCV) is often applied to verify the cuff pressure. We used different volumes of syringe as simulated trachea, selected Proterx 7.0 tube to do the intubation, and recorded the volume of air ventilated and the corresponding intracuff pressure. The result indicated that pressures increased intensively when air volumes surpassed certain values, which suggested VCV method was not appropriate to control the intracuff pressure, and pressure control ventilation might be the better choice. In that case, air care providers have to improve their ability to control pressure. Herein, we enrolled 80 residents into sensitivity training for pressure. Trainees were required to palpate the pilot balloons of 12 tubes (Portex7.0) with different intracuff pressure repeatedly to sense the pressure, 1 hour/ day for 3 days. Trainees who could arrange tubes in turn and control the intracuff pressure at optimal range (20-30cm H2O) during intubation in model were considered eligible, the rest were trained continuously till eligible. Inappropriate percent －The proportion of residents who could not control intracuff pressure appropriately － were recorded before training, after training, one month, three months and six months after training. The results indicated that the training method was effective to improve the ability of residents to control the intracuff pressure, the inappropriate percent increased gradually over time, the average intracuff pressure surpassed the optimal value at six months post-training, suggesting six months should be time point for retraining.

Sequence alignment is one of the most important algorithms that analyzing massive biological information. In modern bioinformatics, it plays an important role in field of serching for similar sequences, predicting sequence information of unkown sequence, looking for specific position of sequence, predicting protein structure and so on. Needleman-Wunsch algorithm is the earliest global alignment algorithm, it gets widely application with its accuracy, however, it has a high time complexity and its speed is slower. This paper adopts software pipelining technique to optimize Needleman-Wunsch algorithm with parallelization, and OpenMP which is the industrialized standard of shared memory programming is used to parallelize it. The performance of Needlelman-Wunsch algorithm can get a great improvement with the optimization.

In this study, the nutritional evaluation of Adinandra nitida leaves was investigated. It was found that Adinandra nitida leaves were rich in necessary amino acids and unsaturated fatty acids. The content of the main flavonoid (camellianin A) was as high as 27.57±0.92 %. These results proved the high nutritional value of Adinandra nitida leaves. It has great commercial interest in the food and phyto-pharmaceutical market.

The aim of image segmentation in imaging science is to solve the problem of partitioning an image into smaller disjoint homogeneous regions that share similar attributes. The improvement of level set method (LSM) based on Chan-Vese (C-V) model with initialization mask for vector image segmentation in multiple color spaces is studied here. And simultaneously, the final segmentation is completed by a simple labeling scheme. Then the comparative study of the refined C-V model is done in multiple color spaces. The experimental results illustrate that the optimized C-V model leads faster and better segmentation results with robustness to noise and good adaptability in RGB, CIE XYZ, and YCbCr color spaces where the results of test image changes little. But it has made mistakes in HSV and CIE L*a*b* color model. Moreover, these color spaces, i.e. h1h2h3, produce poor segmentation on the reliability and accuracy of a set of test images by performance analysis with evaluation indicators.

To Monascus spp., light is not the required factor for its growth. But Monascus spp. has the capacity to sense and respond to light. This paper investigated the effects of blue light on growth and the changes of citrinin yield in Monascus 15. Our results demonstrated blue light was a stimulating signal for citrinin formation. Under the blue light illumination, the biomass of Monascus 15 was inhibited, but the citrinin yield increased when comparing with no light culture condition. Spores statistical results revealed that the blue light also influences the development of mycelium and spore formation.