2013 Second International Conference on Robot, Vision and Signal Processing最新文献

Permutation of Image Encryption System Based on Block Cipher and Stream Cipher Encryption Algorithm 基于分组密码和流密码加密算法的图像加密系统置换

2013 Second International Conference on Robot, Vision and Signal Processing Pub Date : 2015-01-01 DOI: 10.1109/RVSP.2015.46

Chunguang Huang, Hai Cheng, Yu Song, Q. Ding

引用次数: 2

The Implementation of OBD-II Vehicle Diagnosis System Integrated with Cloud Computation Technology 结合云计算技术的OBD-II车辆诊断系统的实现

2013 Second International Conference on Robot, Vision and Signal Processing Pub Date : 2013-12-10 DOI: 10.1109/RVSP.2013.55

Jheng-Syu Jhou, Shih-Huang Chen, Wu-Der Tsay, M. Lai

引用次数: 43

Landing Motion of a Legged Robot with Impact Force Reduction and Joint Torque Minimization 减冲击力和关节力矩最小化的腿式机器人着陆运动

2013 Second International Conference on Robot, Vision and Signal Processing Pub Date : 2013-12-10 DOI: 10.1109/RVSP.2013.65

Xianglong Wan, T. Urakubo, Y. Tada

引用次数: 5

On A Priori Knowledge in Particle Filter for In-Vivo Analysis of Implanted Knee 基于先验知识的粒子滤波在植入膝关节体内分析中的应用

2013 Second International Conference on Robot, Vision and Signal Processing Pub Date : 2013-12-10 DOI: 10.1109/RVSP.2013.46

Shohei Tada, Syoji Kobashi, Kei Kuramoto, Fumiaki Imamura, Takatoshi Morooka, S. Yoshiya, Y. Hata

引用次数: 1

Comparison on Different Random Basis Generator of a Single-Pixel Camera 单像素相机不同随机基生成器的比较

2013 Second International Conference on Robot, Vision and Signal Processing Pub Date : 2013-12-10 DOI: 10.1109/RVSP.2013.8

Feng-Cheng Chang, Hsiang-Cheh Huang

{"title":"Comparison on Different Random Basis Generator of a Single-Pixel Camera","authors":"Feng-Cheng Chang, Hsiang-Cheh Huang","doi":"10.1109/RVSP.2013.8","DOIUrl":"https://doi.org/10.1109/RVSP.2013.8","url":null,"abstract":"Compressive sensing is a signal processing technique that takes advantage of signal sparseness in some domain. To use compressive sensing, a domain in which the signal is represented as a few significant coefficients should be defined. If the proper domain is identified as a set of basis vectors, the coefficients are the projections of the signal on the basis vectors. This is typically a transformation from the original signal space to a lower dimensional signal space. To reverse the transformation, we need to solve an underdetermined linear system. Natural signals such as images and videos are sparse. Therefore, many researches apply compressive sensing as image compression method. Single-pixel camera is one of the interesting topics. It sequentially measures the voltages from the photodiode as the transformed coefficients. The sensing matrix is implemented by a digital micro-mirror device, and can be easily configured using a pseudo random number generator. In this paper, we performed a few experiments based on the algorithms of single-pixel camera. We are interested in the effects of different random basis. Hence, sensing matrices constructed by different random number generators are experimented and discussed.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"6 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80449878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Prolonging of the Network Lifetime of WSN Using Fuzzy Clustering Topology 利用模糊聚类拓扑延长WSN网络生存期

2013 Second International Conference on Robot, Vision and Signal Processing Pub Date : 2013-12-10 DOI: 10.1109/RVSP.2013.10

Trong-The Nguyen, Chin-Shiuh Shieh, Thi-Kien Dao, Jaw-Shyang Wu, Wu-Chih Hu

{"title":"Prolonging of the Network Lifetime of WSN Using Fuzzy Clustering Topology","authors":"Trong-The Nguyen, Chin-Shiuh Shieh, Thi-Kien Dao, Jaw-Shyang Wu, Wu-Chih Hu","doi":"10.1109/RVSP.2013.10","DOIUrl":"https://doi.org/10.1109/RVSP.2013.10","url":null,"abstract":"Adequate clustering provides an effective way for prolonging the lifetime of a wireless sensor network (WSN). Most proposed clustering algorithms do not consider the location of the base station. This will lead to the hot spots problem in multi-hop WSNs. In this paper, a fuzzy clustering topology is employed to prolong the lifetime of WSNs. Considering the residual energy, the distances to the base station and influence of neighboring parameters of the sensor nodes, the cluster-head radius are adjusted by fuzzy clustering topology. This helps to decrease the intra-cluster traffic load of sensor nodes closer to the base station or having lower battery level. The uncertainties in the estimation of cluster-head radius are handled by fuzzy logic. Our approach is compared with some popular algorithms in literature, including LEACH, Gupta and CHEF. Our approach performs in various performance metrics, such as First Node Dies (FND), Half of the Nodes Alive (HNA), Last Node Dies (LND) and energy-efficiency metrics. Simulation results show that the proposed method performs better than the other algorithms, up to 54% in certain cases. Therefore, this method is a stable and energy-efficient clustering algorithm can be applied to any real-world WSN applications.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"14 1","pages":"13-16"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86610247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Effect of Applying Social Networking to Mathematics Course for Junior High School Students 社交网络在初中生数学课程中的应用效果

2013 Second International Conference on Robot, Vision and Signal Processing Pub Date : 2013-12-10 DOI: 10.1109/RVSP.2013.38

Yuh-Ming Cheng, S. Kuo, T. Hsin, Yinxia Wei

{"title":"Effect of Applying Social Networking to Mathematics Course for Junior High School Students","authors":"Yuh-Ming Cheng, S. Kuo, T. Hsin, Yinxia Wei","doi":"10.1109/RVSP.2013.38","DOIUrl":"https://doi.org/10.1109/RVSP.2013.38","url":null,"abstract":"Taiwan is going to start 12-year compulsory education in 2014, so education strategies once again become an important issue for research and discussion. The current study used the web-based cooperative learning with Windows Live as a teaching strategy to teach Mathematics course in a junior high school in Taiwan. The subjects, 3 classes of first-year students, were divided into experimental group and control group based on the average scores of their previous tests. For 12 weeks, the experimental group received experimental instruction with Windows Live, while the control group was taught with traditional teaching method. Pre-test and post-test of learning achievement were conducted on both groups, and an additional questionnaire was answered by the experimental group. The data from this study, analyzed by ANCOVA, showed that the group receiving Windows Live web-based cooperative learning obtained significantly higher achievement than the group learning with traditional teaching method. The research result thus indicates that Windows Live web-based cooperative learning is an effective teaching strategy in enhancing students' achievement.","PeriodicalId":6585,"journal":{"name":"2013 Second International Conference on Robot, Vision and Signal Processing","volume":"8 1","pages":"137-140"},"PeriodicalIF":0.0,"publicationDate":"2013-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84741221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Study of Learning Effects in Different Cognitive Styles in PBL Animation Course PBL动画课中不同认知风格的学习效果研究

2013 Second International Conference on Robot, Vision and Signal Processing Pub Date : 2013-12-10 DOI: 10.1109/RVSP.2013.42

Yuan-Chang Guo, Shi-Jer Lou

引用次数: 2

A Kano-Based Evaluation Model for Extensive Innovation Procedure 基于kano的泛化创新过程评价模型

2013 Second International Conference on Robot, Vision and Signal Processing Pub Date : 2013-12-10 DOI: 10.1109/RVSP.2013.48

Chang-Tzuoh Wu, M. Shao, Chien-Lung Huang, Chung-Hsien Chen, Tien-Szu Pan

引用次数: 1

A Collaborative Representation Based Two-Phase Face Recognition Algorithm 基于协同表示的两相人脸识别算法

2013 Second International Conference on Robot, Vision and Signal Processing Pub Date : 2013-12-10 DOI: 10.1109/RVSP.2013.12

Zhengmin Li, Gaoyuan Liu

引用次数: 0