This paper introduces landfill site of Chuzhou domestic waste, to which the improved anaerobic hygienic burying technology is applied. Chuzhou City, situated between Yangtze River and Huai River, is a window city in t...This paper introduces landfill site of Chuzhou domestic waste, to which the improved anaerobic hygienic burying technology is applied. Chuzhou City, situated between Yangtze River and Huai River, is a window city in the east of Anhui Province. A landfill site with a capacity of 400 ton per day is to be constructed according to the city development plan and the garbage amount, This paper summarizes the landfill location, landform, groundwater, surface water, landfill stratal configuration, dominant wind, and the major machinery equipment. The projects of anti-percolation, seepage collection, seepage disposal, rainwater discharge, biogas diversion are deeply studied. The advanced design principle of the landfills is summarized, which is environment-friendly, science-oriented and economy-based. Environment-friendly principle is implemented in the selection of landfill location, construction of all projects, sealing up project and perfecting environment monitoring system; science-oriented principle prescribes that the design, construction, and management should be science-oriented; the selection of landfill location, design, plan optimization, resource-saving measures and comprehensive utilization should be economy-based Chuzhou domestic waste landfill site is qualified as a goiden model in this paper.展开更多
Foreground moving object detection is an important process in various computer vision applications such as intelligent visual surveillance, HCI, object-based video compression, etc. One of the most successful moving o...Foreground moving object detection is an important process in various computer vision applications such as intelligent visual surveillance, HCI, object-based video compression, etc. One of the most successful moving object detection algorithms is based on Adaptive Gaussian Mixture Model （AGMM）. Although ACMM-hased object detection shows very good performance with respect to object detection accuracy, AGMM is very complex model requiring lots of floatingpoint arithmetic so that it should pay for expensive computational cost. Thus, direct implementation of the AGMM-based object detection for embedded DSPs without floating-point arithmetic HW support cannot satisfy the real-time processing requirement. This paper presents a novel rcal-time implementation of adaptive Gaussian mixture model-based moving object detection algorithm for fixed-point DSPs. In the proposed implementation, in addition to changes of data types into fixed-point ones, magnification of the Gaussian distribution technique is introduced so that the integer and fixed-point arithmetic can be easily and consistently utilized instead of real nmnher and floatingpoint arithmetic in processing of AGMM algorithm. Experimental results shows that the proposed implementation have a high potential in real-time applications.展开更多
This letter proposes a new kind of image quality philosophy—Modulate Quality based on Fixation Points (MQFP) based on Human Visual System (HVS) model. Dissimilar to the former HVS-based quality assessment, the new me...This letter proposes a new kind of image quality philosophy—Modulate Quality based on Fixation Points (MQFP) based on Human Visual System (HVS) model. Dissimilar to the former HVS-based quality assessment, the new measure emphasizes particularly on modeling the jumping phenomenon of human sight instead of modeling the visual perception of human. In other words, to model the HVS using fixation points and stay-frequency instead of Contrast Sensitive Function (CSF) etc. which models the visual perception of HVS. The experiment on various frequency-distortion images indicates that the new measure is correlated with the subjective judgment more than the former HVS-based measure and is a robust measure.展开更多
文摘This paper introduces landfill site of Chuzhou domestic waste, to which the improved anaerobic hygienic burying technology is applied. Chuzhou City, situated between Yangtze River and Huai River, is a window city in the east of Anhui Province. A landfill site with a capacity of 400 ton per day is to be constructed according to the city development plan and the garbage amount, This paper summarizes the landfill location, landform, groundwater, surface water, landfill stratal configuration, dominant wind, and the major machinery equipment. The projects of anti-percolation, seepage collection, seepage disposal, rainwater discharge, biogas diversion are deeply studied. The advanced design principle of the landfills is summarized, which is environment-friendly, science-oriented and economy-based. Environment-friendly principle is implemented in the selection of landfill location, construction of all projects, sealing up project and perfecting environment monitoring system; science-oriented principle prescribes that the design, construction, and management should be science-oriented; the selection of landfill location, design, plan optimization, resource-saving measures and comprehensive utilization should be economy-based Chuzhou domestic waste landfill site is qualified as a goiden model in this paper.
基金supported by Soongsil University Research Fund and BK 21 of Korea
文摘Foreground moving object detection is an important process in various computer vision applications such as intelligent visual surveillance, HCI, object-based video compression, etc. One of the most successful moving object detection algorithms is based on Adaptive Gaussian Mixture Model （AGMM）. Although ACMM-hased object detection shows very good performance with respect to object detection accuracy, AGMM is very complex model requiring lots of floatingpoint arithmetic so that it should pay for expensive computational cost. Thus, direct implementation of the AGMM-based object detection for embedded DSPs without floating-point arithmetic HW support cannot satisfy the real-time processing requirement. This paper presents a novel rcal-time implementation of adaptive Gaussian mixture model-based moving object detection algorithm for fixed-point DSPs. In the proposed implementation, in addition to changes of data types into fixed-point ones, magnification of the Gaussian distribution technique is introduced so that the integer and fixed-point arithmetic can be easily and consistently utilized instead of real nmnher and floatingpoint arithmetic in processing of AGMM algorithm. Experimental results shows that the proposed implementation have a high potential in real-time applications.
基金Supported by the National Natural Science Foundation of China (No.60372068) and theGuangdong Province Science Foundation (No.011628).
文摘This letter proposes a new kind of image quality philosophy—Modulate Quality based on Fixation Points (MQFP) based on Human Visual System (HVS) model. Dissimilar to the former HVS-based quality assessment, the new measure emphasizes particularly on modeling the jumping phenomenon of human sight instead of modeling the visual perception of human. In other words, to model the HVS using fixation points and stay-frequency instead of Contrast Sensitive Function (CSF) etc. which models the visual perception of HVS. The experiment on various frequency-distortion images indicates that the new measure is correlated with the subjective judgment more than the former HVS-based measure and is a robust measure.
