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Simulation test system is a real time system, in which data management mechanism is the key point to assure test data correctness and real time transferring of the data. This paper introduced the architecture of the simulation test system first, and then elaborates how to build a data model in acco rdance with the feature of real data. It also presented a two leveled real time data storage strategy, together with real time management mechanism based on publisher-subscriber mode. Keywords : Software simulation test; simu lation test system;real-time data; INTRODUCTION With the wide applyment of embedded system, there are more and more failures caused by embedded system software. According to statistic data, there are 75% to 80% of the failu res are caused by software in embedded system. The quality of embedded software becomes a bottle-neck of the quality of embedded system. It’s well known that software test is a useful and practical way to assure the quality and reliability of software, but it’s hard to test embedded software due to its tight integration with hardware and its real time requirement. Simulation test is a useful way to solve this problem. Simulation test, is to use software or hardware to simulate the real executing environment (including both physical and hardware environment) of the software under test, so that the software under test can be conf igured into a real executing environment. Simulation test needs simulation test system. To support the test of real time embedded software, the simulatio n test system must be real time as well. Test system will produce tremendous test data during the test; and it must be able to collect the feedback data from the software under test real timely. The mechanism of storing and managing those real time data must not only assure the correctness of the data, but also meet the real time requirements of those data. For an authenticate test, we not only pay attention to the logic result of the test data, we also care about the time wh en the result was returned. Co rrectness and real time feature are the two important and main evaluation factors of data management mechanism of simulation test system. This paper introduced the whole structure of the simulation sy stem first, then cataloged real time data of the simulation system and analyzed features of each ki nd of real time data. We also elabor ate the storage mechanism and management mechanism of the real time data.

Simulation system is a real time system, in which data communication mechanism is the key point to assure the correctness of test data and real time data transferring. This paper will start from the architecture of simulation test system, and then build a data communication model according to data type and transferring requirements of the simulation test system. We present a test data communication mechanism based on data communication model. We elaborate the design of architecture of the communication mechanism and the design of software protocol.

This paper characterizes the technical difficulties and challenges faced when testing complex avionics software. With this as background, a unique Simulation Testing Framework (STF) will be introduced. The basic principles of the STF, associated technology and tools are then presented in detail and include both strategy and process of defining test methods as well as the software architecture of the distributed simulation test system (DSTS).

Soil heavy metal pollution resulting from human activities is causing major concern due to its potential risk. In this study, four crop species with different cultivars were planted in 2 levels (heavily and slightly) of heavy metal contaminated soils, and the accumulation of Cu, Zn, Pb, and Cd in the edible parts of the crops were investigated. Metal concentrations in sesame seeds grown in both soils exceeded both the Chinese Food Hygiene Standard (CFHS) and Codex Alimentarius Commission Standard (CACS), while the metal concentrations in all pepper cultivars in the slightly contaminated soil were below the CFHS and CACS. Other crops were generally in between in both soils. Among the tested crops, the order of soil-plant transfer factor (TF) was: sesame > green soybean > cowpea > pepper. Additionally, old fruit of cowpea contained larger amounts of metals than young fruit. It suggests that sesame should not be planted in the metal contaminated area, while pepper cultivar "Chaobianjiao No.1" may be an alternative to be grown in the slightly contaminated soil. There were differences in individual human susceptibilities to metals. Therefore, a comprehensive risk assessment should consider the frequency, amount and species consumed by human besides metal concentrations in crops.

In this paper Model-based Simulation Testing Framework (MSTF) will be introduced. The basic principles of the MSTF, associated technology and tools are then presented in detail and include both strategy and process of defining test methods as well as the software architecture of the distributed simulation test system (DSTS).

An apparatus for detecting advanced glycation Endproducts (AGE) fluorescence spectrum of skin has been designed. Some of the AGE have special fluorescence. When the tissue of skin is illuminated with excitation light, fluorescence emmited by tissue is detected. The intensity of detected fluorescence is related with the concentration of tissue AGE, which can determine a tissue state of individual. The apparatus can scan exciation light, and also can scan fluorescence emitted by tissue. Because the detection is perfomed noninvasively, so the apparatus could be adapted for use conveniently. we make use of the system to detect the excitation spectrum. At the same time, the emission spectrum is also be detected on the skin of nondiabetic individual and diabetes respectively, the result of the experiment indicates that there are difference distinctly about 450nm between them. The patient can benefit from it to forecast and diagnose the state of illness such as diabetes, decrepitude, oxidative stress. etc conveniently.

Advanced glycation end products (AGEs) are a complex and heterogeneous group of compounds that have been implicated in diabetes related complifications. Skin autofluorescence was recently introduced as an alternative tool for skin AGEs accumulation assessment in diabetes. Successful optical diagnosis of diabetes requires a rapid and accurate classification algorithm. In order to improve the performance of noninvasive and optical diagnosis of type 2 diabetes, support vector machines (SVM) algorithm was implemented for the classification of skin autofluorescence from diabetics and control subjects. Cross-validation and grid-optimization methods were employed to calculate the optimal parameters that maximize classification accuracy. Classification model was set up according to the training set and then verified by the testing set. The results show that radical basis function is the best choice in the four common kernels in SVM. Moreover, a diagnostic accuracy of 82.61%, a sensitivity of 69.57%, and a specificity of 95.65% for discriminating diabetics from control subjects were achieved using a mixed kernel function, which is based on liner kernel function and radical basis function. In comparison with fasting plasma glucose and HbA1c test, the classification method of skin autofluorescence spectrum based on SVM shows great potential in screening of diabetes.