Applied Mechanics and Materials Vols. 195-196

Abstract: Treatment planning based on numerical prediction before or during cryosurgery is an indispensable way to achieve exactly killing of tumor. However, conventional sequential computation is difficult to meet the challenge of real-time assistance with complex treatment plans. In this study, two parallel numerical algorithms, i.e. explicit finite difference scheme and alternating direction implicit scheme, based on an effective heat capacity method are established to solve three-dimensional phase change problems in biological tissues subjected to freezing of multiple cryoprobes. The results as well as speedup of parallel computing were compared. It was shown that the parallel algorithms developed in this study can be used to perform rapid prediction of temperature distribution for cryosurgery, and that parallel computing is hopeful to assist cryosurgeons with prospective parallel treatment planning in the near future.

Abstract: For the recognition of action sEMG signal, the muscle activity detection is the elementary work, and the morphological filter was explored to achieve the target in this paper. To reduce the noise interference in the collected sEMG signal, the band-pass filter and spectrum interpolation method were applied. Based on two structuring elements, the morphological filter was utilized to separate the action signal from the background signal. Then, the amplitude envelope which could indicate the muscle activity was acquired. The experimental results showed that the satisfying muscle activity detection performance could be implemented by the morphological filter.

Abstract: The principle of human-simulated intelligent controller (HSIC) and the application in industrial control have been discussed. The improved HSIC compensates and consumes the system according to different conditions combined by error and error change rate. Because the parameter tuning of HSIC is completed in programmable logic controller, the control strategy of HSIC is simple than that of PID algorithm and the system response speed is more quickly. The author suggests that the parameters of HSIC should be optimized to decrease the complex degree of parameter tuning process and to reduce system overshoot dramatically.

Abstract: An automatic platform for cell localization using image processing and electroosmotic flow technology was developed and used the in vivo human leukemic cells (U937) experiments. The in vivo cells were located successfully in the assigned area by aluminum electrode with lithography process. The cells were lysised with electroporation then DNA was collected in this study. First, a CCD was used to take video from microscope and then a PCI image card acquired the image data to computer. The program was designed to find cell location and trace the in vivo cell and then the cell driving mechanism is started through the voltage or time of electrode controlled with fuzzy logic method by LabVIEW package software. In addition, the XY platform is automatically controlled to keep the cell within the field of view. When the in vivo cell enters the assigned lysis area, the cell will be electroporated by the electrode. The monitoring software was developed to track and manipulate single in vivo cell to lysis successfully in this study. It can control cell move to the assigned location fatly.

Abstract: Grounded vias modeling is used to analyze the impact on the high speed PCB EMC and SI issues in three aspects, including theoretical analysis, simulator modeling and practical PCB test. In this paper, we discuss the full-wave complex scattering parameter model and full-wave model. Then the full-wave analysis model of the through holes for model validation and comparison are established, by using numerical simulation software HFSS and CST Microwave Studio. The initial test results on the practical PCB show that the analyzed method is reasonable and accurate. And optimized design parameters can ensure the continuity of the impedance of vias, and introduce lesser return loss and insertion loss. It is shown that the signal transmission performance is greatly improved with the grounded via added, which is helpful in specifying the manufacturing tolerance of via designs.

Abstract: Fruit grading is an important step in postharvest processing. Based on the images of oranges, we can get those characters that describe the size and color of them. Then 16 features were used to grade the oranges. To the best of our knowledge, this is the first work that used the mean value of R, G, B, H, S, I and the variance of R, G, B, H, S, I together as parameters, and graded the oranges through Bayes inference method. Experimental result shows that our method is competitive.

Abstract: In order to solve the state control problems of the train automatic speed control system, improve the efficiency of the train automatic speed-control and reduce the state switching transition, a kind of train automatic speed control algorithm has been proposed. Based on the fuzzy-predictive control logic, use the formal method, design the state control mechanism, and build the automatic speed-control system model. Using anti-interference design, the data analysis and the simulation test have been accomplished. And the results show that the algorithm is feasible.

Abstract: Transcutaneous energy transmission (TET) systems are designed to deliver power from an in vitro primary power source to in vivo implantable secondary over relatively large air gaps via magnetic coupling. This paper proposes an optimization method with given output power to meet different practical application. The transmission efficiency is the objective function; primary and secondary coils are design variables; constraints are based on bifurcation phenomenon and components peak over-voltage and peak withstand current. We have used MATLAB/ SIMULINK to verify the analytical results.

Abstract: This paper briefly introduced the integrated Command Ranging & Telemetry (CRT) baseband system of a satellite TT&C ground station, and a software was developed with C++ Builder 6.0 to acquire and store the important telemetry data. It effectively resolved the problems of data acquisition and storage for important parameters from baseband system, and it was applied to fault analysis and diagnosis of satellite signals.

Abstract: As a critical role in many Natural Language Processing (NLP) applications, such as Information Extraction, Machine Translation etc, Chinese Named Entity Recognition (NER) remains a challenging task because of its characteristics. This paper proposes a method of Chinese NER, which combining Conditional Random Fields (CRFs) model with domain ontology as a semantic feature besides word and part of speech features. Experiments were made to compare the two kinds of feature templates, and the precision rate and recall rate of Chinese NER rose to 90.86% and 88.23%, which showed remarkable performance of the proposed approach. Combination of ontology and CRFs method increased effectively the precision and recall of Chinese NER.