机构

• 长春光学精密机械与物... [1]
• 遥感与数字地球研究所 [1]
• 软件研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [2]
• 期刊论文 [1]

发表日期

• 2015 [1]
• 2009 [1]
• 2006 [1]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Practical-time related-key attack on Hummingbird-2 期刊论文  OAI收割 IET INFORMATION SECURITY, 2015, 卷号: 9, 期号: 6, 页码: 321-327 Shi, ZQ; Zhang, B; Feng, DG   |  收藏  |  浏览/下载：29/0  |  提交时间：2016/12/13 divide and conquer methods  cryptography  practical-time related-key attack  Hummingbird-2  lightweight cipher  MAC functionality  cryptographic notion  combination points  differential equation  internal state bits  divide and conquer strategy  cryptographic S-boxes   Using bidirectional binary particle swarm optimization for feature selection in feature-level fusion recognition system (EI CONFERENCE) 会议论文  OAI收割 2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009, May 25, 2009 - May 27, 2009, Xi'an, China 作者:  Wang D.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25 In feature-level fusion recognition system  the other is optimizing system sensor design to get outstanding cost performance. So feature selection become usually necessary to reduce dimensionality of the combination of multi-sensor features and improve system performance in system design. In general  there are two main missions. One is improving the recognition correct rate as soon as possible  the optimization is usually applied to feature selection because of its computational feasibility and validity. For further improving recognition accuracy and reducing selected feature dimensions  this paper presents a more rational and accurate optimization  Bidirectional Binary Particle Swarm Optimization (BBPSO) algorithm for feature selection in feature-level fusion target recognition system. In addition  we introduce a new evaluating function as criterion function in BBPSO feature selection method. At the last  we utilized Leave-One-Out method to validate the proposed method. The experiment results show that the proposed algorithm improves classification accuracy by two percentage points  while the selected feature dimensions are less one dimension than original Particle Swarm Optimization approach with 16 original feature dimensions. 2009 IEEE.   Study of navigation based on intelligent avatar with mobile virtual reality 会议论文  OAI收割 IET International Conference on Wireless Mobile and Multimedia Networks Proceedings, ICWMMN 2006,, Hangzhou, China, November 6, 2006 - November 9,2006 Jun, Ma; Hengjun, Zhu; Jianhua, Gong Source 收藏  |  浏览/下载：43/0  |  提交时间：2014/12/07 Recent advances in wireless communications and the hardware performance of handset devices make possible the combination of navigation technology with mobile virtual reality (MVR). In this paper  we describe a navigation method that uses intelligent avatar (IA) and been realized in a distributed architecture. In the method  complicated A* wayfinding algorithm is applied to obtain the set of smell points (SSP) on PC server (PCS)  thereafter handset client (HC) will receive the SSP via wireless network and create an IA to lead the user along the route controlled by the SSP. During navigation  the IA can apperceive the status of user's avatar in virtual environment regularly and then adjust its travel speed in order to complete harmoniously the navigation task for the user. Furthermore  the rendering of IA adopts the technology of dynamic impostor and the method of distributed rendering. In order to reduce the occupation of wireless network bandwidth  we present two methods and name them as levels of action (LOA) and simple texture compression.