Search

With improving of the complexity level of the large software system, the number of code line shows geometrical multiples growth, so software reliability become more and more difficult to be guaranteed. The traditional test security measure must spend a lot of manpower and time to complete. And the system itself needs more reliability to run. In some key fields, such as aviation, spaceflight, its reliability requirements is especially important. The reliability of the software in the system is directly related to their own reputation and survival development competition ability. This paper presents a method to evaluate the software reliability using Fuzzy-Neural network. In order to improve the accuracy of the evaluation, this paper established a reliability prediction model based on adaptive-network based fuzzy inference system (ANFIS). The model use the reliability data(defect counts of every thousand code lines) of one software project as input data, and use the prediction of reliability as output data, training Adaptive-Fuzzy neural network, get the membership function of defect counts of every thousand code lines.

Theory and practice have proven that the cost of building materials accounts for a significant proportion in construction. The material saving is very cost-effective method for the enterprise, strengthen the material procurement management, timely, adequate, appropriate quality, suitable price to complete the procurement task is the goal of each enterprise; At present, resting on the building materials management by Project, this article focuses on the actual construction material purchasing pattern of current construction market and the analysis of the modern purchasing skill's merit and demerit. To promote the development of modern project management and improve the enterprise economic benefit, the "One Body Two Wings" materials procurement management system model and the system function analysis are presented in this paper, whichstarting from procurement process management of the construction materials, based on the system engineering theory, project management criteria and IT technical aids.

This study compares horizontal gradients of sea surface temperature (SST) observed by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard of Terra satellite with those in the Reynolds analysis. Large differences exists in the horizontal gradients between the two SST products, suggesting that existing surface heat balance analyses based on the Reynolds SST analysis is inaccurate. Impact of the inaccuracies on the surface heat balance of the equatorial Pacific region during 2001-02 is estimated. Sensitivity of the SST horizontal gradients with respect to the grid resolution of the data is also studied and the importance of horizontal diffusion in surface heat balance of the coarse-resolution grid is suggested.

The Moderate-resolution Imaging Spectroradiometer (MODIS) mission is entering it's fourth year of successful operation and has yielded staggering amounts of data types and volumes. After the first MODIS launch in November 1999 on board the Tera satellite, a second instrument was bought to orbit on board of the Aqua satellite in May 2002. Both instruments can provide global coverage in 250-1000 m resolutions in just one day. The distribution of all MODIS data by any single NASA Distributed Active Archive Center (DAAC) is not feasible. Thus, the Goddard Earth Sciences (GES) DAAC produces Level 1A and 1B, and distributes the latter as well as the higher level of Ocean and Atmosphere products. Our goal is to give a generic picture of MODIS products and services available from GES DAAC, intended for users introducing themselves to the MODIS mission.