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Abstract: Remote sensing data has an important application value and scientific significance .in retrieval of lake surface temperature (LST). On September 6, 2008, China successfully launched two optical small satellites (respectively called HJ-1A, HJ-1B.) to monitor and predicate environment and disaster. HJ-1B satellite includes an infrared camera (IRS). The camera has a thermal infrared band which can dynamically monitor LST of large river basins in 4 days. HJ-IRS is a new sensor, so there are few papers researching on the retrieval of LST.The main goal of this paper is to introduce a practical method to obtain LST from HJ-IRS thermal data. In this paper, we reviewed primary algorithms of LST retrieval and mainly analyzed Qin′s mono-window algorithm retrieving LST from Landsat TM6 (Thematic Mapper) thermal data. This algorithm included two empirical relationships about atmospheric transmittance and atmospheric average temperature. But these relationships are only suitable for TM6. So on the basis of the spectral response function of HJ-IRS therma1 band we use radiance transfer software MODTRAN4 to simulate and calculate new coefficients in the two relationships. New algorithm requires three parameters: emissivity, vertical water vapor column and atmospheric temperature about 2 meters above the ground. We use two images of Lake Taihu to retrieve LST and validate the improved algorithm. Bias of LST retrieved from HJ-IRS data and the field measurements are smaller than 1.2K, which means this algorithm is applicable for HJ-IRS therma1 band to retrieve LST. [Copyright &y& Elsevier]

Abstract: Distinguished from former literature which focuses on the static or balanced analysis, this paper established the timevarying parameters model based on state space model to find the dynamic relationship between China''s energy consumption and economic growth. After applying Chow test, unit root test and cointegration test, this paper estimated the parameters of state space model with Kalman Filter Algorithm, then found and analyzed their internal regularity. [Copyright &y& Elsevier]

Abstract: It is difficult to evaluate the performance of the different companies feasibly and fairly only depending on experts. An evaluation model based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is built to solve this problem. In this model, the method of data processing and the evaluation algorithms are analyzed detailed. By means of the evaluation model, eight electric power supply bureau of Chongqing are evaluated in this paper, and the results show feasibly and reasonably. [Copyright &y& Elsevier]

Abstract: As smart grid promoted in China, Internet services are increasingly finding their way to home applications and gradually changing the traditional lifestyles. The home gateway is identified as a major component of the smart home network, which acts as a single point of connection between the home and outside world. In order to guarantee quality for the services including IPTV and VoIP, which requires high bandwidth and real-time support, the QoS guaranteed mechanism in home gateway should be considered. In this paper, a mechanism of home gateway is proposed to extend smart home network to be compatible for smart grid integration. The proposed mechanism classifies the traffic and manages resources by utilizing a novel scheduling algorithm to meet the user requirements on the home network QoS. Through the experiments of implementing the mechanism, performances of the proposed mechanism such as loss ratio, packets delay, and jitter are obtained. [Copyright &y& Elsevier]

Abstract: Subjective question is capable of examining the adopting ability of knowledge of the student, but the assessment for it suffers from a number of questions. Based on the analysis of automated assessment of Chinese subjective questions, in this paper we have proposed a novel automated assessment algorithm for subjective questions automated assessment using sentence similarity method. The results of the research indicate that this algorithm is promising. [Copyright &y& Elsevier]