City regions often have great diversity in form and function. To better understand the role of each region, the relations between city regions need to be carefully studied. In this work, the human mobility relations b...City regions often have great diversity in form and function. To better understand the role of each region, the relations between city regions need to be carefully studied. In this work, the human mobility relations between regions of Shanghai based on mobile phone data is explored. By formulating the regions as nodes in a network and the commuting between each pair of regions as link weights, the distribution of nodes degree, and spatial structures of communities in this relation network are studied. Statistics show that regions locate in urban centers and traffic hubs have significantly larger degrees. Moreover, two kinds of spatial structures of communities are found. In most communities, nodes are spatially neighboring. However, in the communities that cover traffic hubs, nodes often locate along corridors.展开更多
Baseband ASIP designs for handsets are discussed based on the author's R&D backgrounds. Algorithms for 4G, 3G, and WLAN are analyzed and selected for implementation based on the trade off of cost and performan...Baseband ASIP designs for handsets are discussed based on the author's R&D backgrounds. Algorithms for 4G, 3G, and WLAN are analyzed and selected for implementation based on the trade off of cost and performance with power consumption in mind. A SDR ASIP baseband system architecture is proposed for 4G and 3G mobile handsets. Function partitions for heterogeneous symbol processors are introduced to get higher performance over cost. Three structures for DFE, FFE, and Matrix symbol ASIP are proposed. The concept of bit parallel processor is introduced. Challenges of baseband processors for UDN of 5G were briefly introduced. Conclusions on ASIP architecture and system design are given for different baseband processors on different products.展开更多
Auto-focus is very important for capturing sharp human face centered images in digital and smart phone cameras. With the development of image sensor technology, these cameras support more and more highresolution image...Auto-focus is very important for capturing sharp human face centered images in digital and smart phone cameras. With the development of image sensor technology, these cameras support more and more highresolution images to be processed. Currently it is difficult to support fast auto-focus at low power consumption on high-resolution images. This work proposes an efficient architecture for an Ada Boost-based face-priority auto-focus. The architecture supports block-based integral image computation to improve the processing speed on high-resolution images; meanwhile, it is reconfigurable so that it enables the sub-window adaptive cascade classification, which greatly improves the processing speed and reduces power consumption. Experimental results show that 96% detection rate in average and 58 fps(frame per second) detection speed are achieved for the1080p(1920×1080) images. Compared with the state-of-the-art work, the detection speed is greatly improved and power consumption is largely reduced.展开更多
文摘近年来,信息科技技术的快速发展对人们的生活产生了巨大的影响,其中手机就是一种新时期信息科技技术发展的成果,在新 时期环境下,手机更新的速度是越来越快,人们对手机功能和性能的要求也在不断提升,手机行业要想得到长久的发展,就需要其做好手 机结构的设计,下面,本文就针对手机结构 3D 设计的优化进行分析,希望对手机结构设计人员具有一定的帮助。
基金Project(71303269)supported by the National Natural Science Foundation of ChinaProject(14ZZD006)supported by the Economics Major Research Task of Fostering,China
文摘City regions often have great diversity in form and function. To better understand the role of each region, the relations between city regions need to be carefully studied. In this work, the human mobility relations between regions of Shanghai based on mobile phone data is explored. By formulating the regions as nodes in a network and the commuting between each pair of regions as link weights, the distribution of nodes degree, and spatial structures of communities in this relation network are studied. Statistics show that regions locate in urban centers and traffic hubs have significantly larger degrees. Moreover, two kinds of spatial structures of communities are found. In most communities, nodes are spatially neighboring. However, in the communities that cover traffic hubs, nodes often locate along corridors.
基金supported by the National HighTech Research and Development Program of China (863 Program) 2014AA01A705.
文摘Baseband ASIP designs for handsets are discussed based on the author's R&D backgrounds. Algorithms for 4G, 3G, and WLAN are analyzed and selected for implementation based on the trade off of cost and performance with power consumption in mind. A SDR ASIP baseband system architecture is proposed for 4G and 3G mobile handsets. Function partitions for heterogeneous symbol processors are introduced to get higher performance over cost. Three structures for DFE, FFE, and Matrix symbol ASIP are proposed. The concept of bit parallel processor is introduced. Challenges of baseband processors for UDN of 5G were briefly introduced. Conclusions on ASIP architecture and system design are given for different baseband processors on different products.
基金supported in part by China Major Science and Technology (S&T) Project (Grant No. 2013ZX01033-001-001-003)National High-Tech R&D Program of China (863) (Grant Nos. 2012AA012701, 2012AA0109-04)+2 种基金National Natural Science Foundation of China (Grant No. 61274131)International S&T Cooperation Project of China (Grant No. 2012DFA11170)Importation and Development of the High-Caliber Talents Project of Beijing Municipal Institutions (Grant No. YETP0163)
文摘Auto-focus is very important for capturing sharp human face centered images in digital and smart phone cameras. With the development of image sensor technology, these cameras support more and more highresolution images to be processed. Currently it is difficult to support fast auto-focus at low power consumption on high-resolution images. This work proposes an efficient architecture for an Ada Boost-based face-priority auto-focus. The architecture supports block-based integral image computation to improve the processing speed on high-resolution images; meanwhile, it is reconfigurable so that it enables the sub-window adaptive cascade classification, which greatly improves the processing speed and reduces power consumption. Experimental results show that 96% detection rate in average and 58 fps(frame per second) detection speed are achieved for the1080p(1920×1080) images. Compared with the state-of-the-art work, the detection speed is greatly improved and power consumption is largely reduced.
