电力需求侧管理（Demand Side Management．以下简称DSM）产生于20世纪70年代，具体是指在政府法规和政策的支持下，采取有效的激励和诱导措施，通过电力公司、能源服务公司、电力用户等多方的共同努力，改善用电方式，提高终端用电效...电力需求侧管理（Demand Side Management．以下简称DSM）产生于20世纪70年代，具体是指在政府法规和政策的支持下，采取有效的激励和诱导措施，通过电力公司、能源服务公司、电力用户等多方的共同努力，改善用电方式，提高终端用电效率．在完成同样用电功能的同时减少电量消耗和电力需求，达到节约资源和保护环境，实现最好社会效益所进行的用电管理活动。下文以汀苏油田为例，探讨了油田电力需求侧管理的必要性。展开更多
Photon mapping is widely used for global illumi- nation rendering because of its high computational efficiency. But its efficiency is still limited, mainly by the intensive sam- piing required in final gathering, a pr...Photon mapping is widely used for global illumi- nation rendering because of its high computational efficiency. But its efficiency is still limited, mainly by the intensive sam- piing required in final gathering, a process that is critical for removing low frequency artifacts of density estimation. In this paper, we propose a method to predict the final gather- ing estimation with direct density estimation, thereby achiev- ing high quality global illumination by photon mapping with high efficiency. We first sample the irradiance of a subset of shading points by both final gathering and direct radiance es- timation. Then we use the samples as a training set to predict the final gathered irradiance of other shading points through regression. Consequently, we are able to achieve about three times overall speedup compared with straightforward final gathering in global illumination computation with the same rendering quality.展开更多
文摘电力需求侧管理（Demand Side Management．以下简称DSM）产生于20世纪70年代，具体是指在政府法规和政策的支持下，采取有效的激励和诱导措施，通过电力公司、能源服务公司、电力用户等多方的共同努力，改善用电方式，提高终端用电效率．在完成同样用电功能的同时减少电量消耗和电力需求，达到节约资源和保护环境，实现最好社会效益所进行的用电管理活动。下文以汀苏油田为例，探讨了油田电力需求侧管理的必要性。
文摘Photon mapping is widely used for global illumi- nation rendering because of its high computational efficiency. But its efficiency is still limited, mainly by the intensive sam- piing required in final gathering, a process that is critical for removing low frequency artifacts of density estimation. In this paper, we propose a method to predict the final gather- ing estimation with direct density estimation, thereby achiev- ing high quality global illumination by photon mapping with high efficiency. We first sample the irradiance of a subset of shading points by both final gathering and direct radiance es- timation. Then we use the samples as a training set to predict the final gathered irradiance of other shading points through regression. Consequently, we are able to achieve about three times overall speedup compared with straightforward final gathering in global illumination computation with the same rendering quality.
