Advanced Materials Research Vols. 171-172

Abstract: The conventional biological treatment technology is inefficiently for coking wastewater. It is meaningful to study the advanced treatment process for these kinds of wastewater. A new compound montmorillonite adsorb-coagulant was prepared by complex formulation of microwave organic modified montmorillonite, Na- montmorillonite and polyaluminium chloride (PAC). And it was used in the advanced treatment of coking wastewater after biological treatment. Experimental results show that the mass ratio of microwave organic modified montmorillonite, Na-montmorillonite and polyaluminium chloride (PAC) is 20: 20: 1, and under the condition of the dosage of 30 g/L, the adsorb-coagulation time of 30 minutes and the sedimentation time of 2 hours, the treatment effect is the best. The effluent concentration of COD and ammonia nitrogen is 33.6mg/L and 10.1mg/L, respectively, and the chroma of effluent is only 2 time. The corresponding removal efficiency is 78.2%, 84.8% and 92%, respectively. And the out-effluent can completely reach the first national discharge standard.

Abstract: This paper is a comparative analysis, which mainly compares two education development level indicators of Average Years of Education (AYE) and Adult Illiteracy Rate (AIR). In China, AIR is influenced by elder illiteracy seriously. This article, firstly analyzes the problems of using AIR, and secondly introduces the indicator of AYE and compares the two indicators. Finally, points out the conclusion, that it should be using AYR to replace AIR to measure regional education development level. Thus, we could get the values which are more realistic and more reliable.

Abstract: This paper presents our recent research results about a solar-low temperature waste electric power generation system based on Organic Rankine Cycle (ORC) which utilizes solar thermal waste heat at low temperature efficiently. Four organic working fluids such as R13a, isobutene, HFC-245fa and HFC-236ea with boiling points from 247.08K-288.05K are chosen to analyze the performance of the system according to first and second law of thermodynamics under rated conditions. The results show that raising temperatures of high-press gas turbine cannot improve thermal efficiencies of the system obviously, meanwhile the irreversibility of the system increases. And adjusting the intermediate pressure can influence the system's performance importantly. When the reheating pressure reaches the 75%-85% of the critical pressure, the system get the best optimal performance. On the other hand, when the condensate temperature increases, the system thermal performance drops. The higher working fluid boiling points can cause the higher system thermal efficiency.

Abstract: in the complex underwater environment, underwater images are taken by special underwater CCD camera and its S/N is low and the edge is fuzzy. For the four types of characteristic underwater targets, the novel moments called relative boundary moments are proposed, and the affine invariants of discrete moments are constructed. With scale, translating and rotating invariance, the moments can be used as the descriptors of the samples. Experimental results show that compared with the traditional regional moments, the new moment invariants not only can reduce the calculation in data processing to a large extent, but also improve the robustness and timeliness for engineering applications. When applying to the practical engineering, that is particularly approval for AUV to complete a certain mission.

Abstract: The Chinese government is pursuing e-learning policies which makes job-training with a knowledge-based society. To explain more fully the important role of the e-learning environment, this article undertakes some typical examples of the governments' job-training under e-learning environment. The main problems in servants' job-training in China are the low quantity in the servants' training, short of restriction, the uniform manner in the training and less fairness and availability of opportunities for educational training. In order to develop the e-learning system, the civil servant's job training policies are provided and the measures of the effective e-learning system are designed.

Abstract: With the evolution of information technology, E-learning has spread rapidly. Traditional E-learning has proved not fit requirement of modern education, new trend of developing the adaptive and customized E-learning system draws more and more attentions from researchers and practitioners. In this paper, we proposed an E-learning system which can provide adaptive content according to different situations of user. To achieve the adaptive E-learning system, two new technologies have been adopted by the system: learning object and domain ontology. Using these two technologies the system can provide intelligent learning content based on the user’s context, knowledge’s context. The paper also presents a scenario to demonstrate the step of production of adaptive learning content.

Abstract: This paper develops a new error concealment algorithm for the whole-frame losses in wireless video transmission based on H.264/AVC.At first,we propose a forward motion vector extrapolation algorithm based on variable-size block motion vector estimation to obtain the motion vector field of the loss frame without yielding the hole problems. Then, we partition the missing frame into several object regions by clustering the motion vectors, furthermore, we apply median filter to reconstruct the motion vectors for hole areas based on the reliabilities of neighboring motion vectors. Finally, all macroblocks in the lost frame are estimated by using the extrapolated motion vectors. Experimental results show that the proposed algorithm provides better image quality than conventional methods both objectively and subjectively.

Abstract: This paper proposed a particle swarm algorithm based algorithm for the extraction of the classification association rules, and use the extracted classification association rules to forecast the thunderstorm weather. The experimental results show that the method can achieve better weather forecasting results, and it can largely accelerate algorithm run time but not lower its accurateness.

Abstract: The enrichment of internet has resulted in the flooding of abundant information on WWW with more replicas. As the duplicated web pages increase the indexing space and time complexity, finding and removing these pages becomes significant for search engines and other likely system which will improve on accuracy of search results as well as search speed. Web content mining plays a vital role in resolving these aspects. Existing algorithm for web content mining focus attention on applying weightage to structured documents whereas in this research work, a mathematical approach based on linear correlation is developed to detect and remove the duplicates present in both structured and unstructured web document. In the proposed work, linear correlation between two web documents is found out. If the correlated value is 1 then the documents are said to be exactly redundant and it should be eliminated otherwise not redundant.

Abstract: Based on high resolution dynamic downscaling meteorological forcing data, climate change of Tibetan Plateau and possible trends in runoff of the source region of Yangtze River and Yellow River were analyzed by using large-scale distributed hydrology model under future climate warming. The average annual runoff of the source region of Yangtze River and Yellow River will increase by 8.58% and 9.19% in the future 30 to 50 years. Although the annual precipitation will increase up to 4.48%, the average annual runoff of the source of Yellow River will reduce only by 1.98% in the next 30 to 50 years. The variations of runoff in the source area of Yangtze River and Yellow River are analyzed by using the climate data projected for the future 30 to 50 years and the scenario simulations of the land use/cover change. These results indicate that the runoff is the minimum (maximum) at forest land (bare land).