The study concentrates on the status of ecological environment development in Shenyang, uses the remote sensing images and social statistics in different periods as the data base, establishes a dynamic monitoring system and model of urbanization and ecological security. Through the identification and quantitative analysis of ecological security dynamic monitoring information, with the support of spatial information technology, we have formed a key technology system which combines ecological security warning with ecological security structure optimization. Moreover, the spatial database of ecological key elements in Shenyang city was constructed. The vertical pattern, horizontal pattern and ecological function of urban ecological system is organically combined, which provides the basic data for the layout and regulation of green space and water system. With these efforts, a key technology system is formed, including the warning of urban ecological security- the space regulation of economic development- the optimization of urban ecological security pattern - the regulation of urban elements' spatial layout. The research results provide scientific and accurate data base for ecological planning and regulation in Shenyang City , carry out effective ecological security monitoring and management for the development of Shenyang, protect the ecological integrity of the system as well as the healthy development of the economy in Shenyang City during the urbanization process .

This paper deals with the production plan for the foaming process, the core part of the refrigerator manufacturing process. In accordance with this change, the refrigerator manufacturing process has also been converted into the mixed-model production system and it is necessary to optimize the production release pattern for the foaming process. The pattern optimization is to create a mixed-model combination which can minimize the number of setup operations and maintain mixed-model production. The existing method is a simple heuristic that depends on the demand priority. Its disadvantages are low mixed-model configuration rate and high setup frequency. Therefore, demand partitioning occurs frequently. In this study, we introduce the tolerance concept and propose a new pattern optimization algorithm based the large neighborhood search (LNS). The proposed algorithm was applied to a refrigerator plant and it was found that mixed-model configuration rate can be improved without demand partitioning.

This research was conducted to configure an optimal membrane module system that would selectively separatehazardous gases which are emitted during the processes in the semiconductor industry. In order to identify the most integralcharacteristic results, a numerical analysis formula which incorporates the dimensions of pipe diameter and gas flow ratewas utilized. Based on the results of the numerical analysis formula, a prototype designed with the main pipe being 100Awith gas outlets made with identical diameter thickness to the main pipe, set at equal intervals, was built. When the gasflow rate is set at 100L/min, although the processing outlets 1, 2, and 3 showed 0.03m/sec deviations in the rate ofspeed, when considering the variables of the average flow rate, the same emission rates are noted. However, in the instanceof when the overall prototype pipe dimensions was enlarged to 200A and the gas flow rate was increased to 500L/min,there was better stabilization. Therefore concluding that as the pressure rates flowing in the main pipe increases, morestable characteristics at the gas outlets can be found.