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《高技术通讯》创刊于1991年,是由国家科技部高技术研究发展计划(863计划)联合办公室创办、中国科学技术信息研究所主办的综合性学术刊物,是国内高技术领域的高层次刊物之一。。。
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当期目录 2018,Vol.24 No.2  刊出日期  2018-6-15
简明目录 摘要目录
2918  
  目录
 
  2017-12-12 19:41:27 [摘要] [HTML] [PDF]
2917  Hua Zaijun(花再军), Fan Xiangning, Liao Yilong
  A new digital transmitter based on delta sigma modulator with bussplitting
  Abstract
A new digital transmitter based on delta sigma modulator (DSM) with bussplitting is presented in this paper. The second order low pass errorfeedback delta sigma modulator (EFDSM) is focused. The signal to noise ratio (SNR) of the EFDSM is derived for different bussplitting bits. Following the EFDSM, a multibit digital up mixer is used for carrier frequency transform. In order to validate the theory of bussplitting, two types of transmitters are implemented on FPGA for comparison, in which one is with nonbussplitting and the other is with bussplitting. The FPGA implemented transmitter with bussplitting promotes the maximum operation speed by 39%, and reduces hardware consumptions more than 16%. Both single tone and orthogonal frequency division multiplexing (OFDM) signal source are used to evaluate the proposed transmitter.
Key words: bussplitting, errorfeedback delta sigma modulator (EFDSM), signal to noise ratio (SNR), digital transmitter, digital up mixer
  2017-12-12 19:39:41 [摘要] [HTML] [PDF]
2916  Li Guangsheng (李广胜), Chou Wusheng
  Semantic categorization of indoor places using CNN for mobile robot exploration
  Abstract
The ability of achieving a semantic understanding of workspaces is an important capability for mobile robot. A method is proposed to categorize different places in a typical indoor environment by using a Kinect sensors for mobile robot exploration. At first, the invariant feature based images stitching approach is adopted to form a panoramic image according to Kinect visual information, and the translation between Kinect depth information and obstacle distance information is performed to obtain virtual LIDAR data. Then, the semantic classifier is designed by using convolutional neural networks (CNN) for indoor place categorization based on Kinect visual observations with panoramic view. At last, a frontierbased exploration method is applied to carry out indoor autonomous exploration of mobile robots, which integrates the CNNbased categorization approach. The proposed method has been implemented and tested on a real robot, and experiment results demonstrate the approach effectiveness on solving the semantic categorization problem for mobile robot exploration.
Key words: exploration, mobile robot, semantic categorization, convolutional neural network (CNN), Kinect
  2017-12-12 19:38:47 [摘要] [HTML] [PDF]
2915  Wang Junli (王俊丽), Yang Li, Wu Yuxi, Guan Min
  Graph publishing method based on differential privacy protection
  Abstract
There are growing concerns surrounding the data security of social networks because large amount of user information and sensitive data are collected. Differential privacy is an effective method for privacy protection that can provide rigorous and quantitative protection. Concerning the application of differential privacy in social networks, this paper analyzes current trends of research and provides some background information including privacy protection standards and noise mechanisms. Focusing on the privacy protection of social network data publishing, a graphpublishing model is designed to provide differential privacy in social networks via three steps: Firstly, according to the features of social network where two nodes that possess certain common properties are associated with a higher probability, a raw graph is divided into several disconnected subgraphs, and correspondingly dense adjacent matrixes and the number of bridges are obtained. Secondly, taking the advantage of quadtrees, dense region exploration of the adjacent matrixes is conducted. Finally, using an exponential mechanism and leaf nodes of quadtrees, an adjacent matrix of the sanitized graph is reconstructed. In addition, a set of experiments is conducted to evaluate its feasibility, availability and strengths using three analysis techniques: degree distribution, shortest path, and clustering coefficients.
Key words: differential privacy, social network, data publication
  2017-12-12 19:37:52 [摘要] [HTML] [PDF]
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