2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing最新文献

A Multiple Watermarking Scheme for Color Images 彩色图像的多重水印方案

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing Pub Date : 2012-06-26 DOI: 10.1109/MUSIC.2012.30

H. Liao

引用次数: 7

Implementation of Network Framework for Development and Integration of Network-Based Humanoid Robot System 基于网络的仿人机器人系统开发与集成的网络框架实现

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing Pub Date : 2012-06-26 DOI: 10.1109/MUSIC.2012.51

Joo-Hyung Kim, Ho-Dong Lee, Gwi-Tae Park, J. Park

引用次数: 0

A Source-Based Share-Tree Like Multicast Routing in Satellite Constellation Networks 卫星星座网络中基于源的共享树类组播路由

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing Pub Date : 2012-06-26 DOI: 10.1109/MUSIC.2012.49

Yanpeng Ma, Jinshu Su, Chunqing Wu, Xiaofeng Wang, Wanrong Yu, Bao-kang Zhao, Xiaofeng Hu

引用次数: 4

An Adjustable Heuristic for Offset Assignment Problems in Embedded System Design 嵌入式系统设计中偏移分配问题的可调启发式算法

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing Pub Date : 2012-06-26 DOI: 10.1109/MUSIC.2012.19

Tong-Chai Wang

引用次数: 0

An Electric Power Asset Localization Scheme Based on LLA and ZigBee 基于LLA和ZigBee的电力资产定位方案

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing Pub Date : 2012-06-26 DOI: 10.1109/MUSIC.2012.48

Ruixue Li, Jianming Liu, Xiangzhen Li

引用次数: 0

Location-Based Large-Scale Landmark Image Recognition Scheme for Mobile Devices 基于位置的移动设备大规模地标图像识别方案

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing Pub Date : 2012-06-26 DOI: 10.1109/MUSIC.2012.16

Daehoon Kim, Eenjun Hwang, Seungmin Rho

{"title":"Location-Based Large-Scale Landmark Image Recognition Scheme for Mobile Devices","authors":"Daehoon Kim, Eenjun Hwang, Seungmin Rho","doi":"10.1109/MUSIC.2012.16","DOIUrl":"https://doi.org/10.1109/MUSIC.2012.16","url":null,"abstract":"In this paper, we propose a location-based large-scale landmark image recognition scheme for mobile devices such as smart phones. To achieve this goal, we collected landmark images all around the world, which were available on the web. For each landmark, we detected interest points and constructed their feature descriptors using SURF. Next, we performed a statistical analysis on the local features to select representative points among them. Intuitively, the representative points of an object are the interest points that best characterize the object. Similar representative points are merged for filtering and fast matching purposes. These points are indexed using an R-tree based on GPS information. Our scheme is based on client-server architecture. When the user takes a picture of a landmark using a mobile device, the client module on the mobile device extracts the local features from the image and sends them to the server, along with location and other sensor data. For the query, the server searches its index using the location data first to find nearby landmarks and then compares their local features. Matched landmark images are sent back to the client. We implemented a prototype system and performed various experiments. Through experiments, we showed that our scheme achieves reasonable performance.","PeriodicalId":260515,"journal":{"name":"2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128720624","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: 6

Data Overhead Impact of Multipath Routing for Multicast in Wireless Mesh Networks 无线Mesh网络中多径路由对组播数据开销的影响

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing Pub Date : 2012-06-26 DOI: 10.1109/MUSIC.2012.34

Yi Zheng, U. T. Nguyen, Hoang Lan Nguyen

引用次数: 7

A Proxy-Based Mobile Computing Infrastructure 基于代理的移动计算基础设施

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing Pub Date : 2012-06-26 DOI: 10.1109/MUSIC.2012.12

Azade Khalaj, H. Lutfiyya, M. Perry

引用次数: 3

Evaluation of WiFi-Based Indoor (WBI) Positioning Algorithm 基于wifi的室内定位算法评价

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing Pub Date : 2012-06-26 DOI: 10.1109/MUSIC.2012.52

Ahed Aboodi, T. Wan

引用次数: 21

A Privacy-Preserving Biometric Matching Protocol for Iris Codes Verification 一种保护隐私的虹膜码验证生物特征匹配协议

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing Pub Date : 2012-06-26 DOI: 10.1109/MUSIC.2012.28

Kok-Seng Wong, M. Kim

{"title":"A Privacy-Preserving Biometric Matching Protocol for Iris Codes Verification","authors":"Kok-Seng Wong, M. Kim","doi":"10.1109/MUSIC.2012.28","DOIUrl":"https://doi.org/10.1109/MUSIC.2012.28","url":null,"abstract":"Biometric-based authentication systems have been widely used in applications that require high reliable scheme. For instance, iris-based authentication systems had received great attention due to its high reliability for personal identification. However, the growing use of biometric systems in real life applications raises more attention and concern about the privacy issues. Unlike PIN or password which provides exact matches, iris-codes recognition provides a degree of probability or confidence that two iris-codes are similar based on some distance measurements. In iris verification, the biometric matching is performed by measuring the Hamming distance between the query feature vector and the template. The computation must not leak any sensitive information because the leakage of such information may allow any malicious party to reconstruct the original feature vector of the user. Once the original features have been revealed, the privacy of the user will be compromised forever. In view of this problem, we design a privacy preserving biometric matching protocol to facilitate the iris-codes matching in a privacy preserved environment. By introducing some chaff features in our computation, the malicious client who outputs an artificially low mismatch score can be easily detected by the server. Hence, our protocol makes it computationally infeasible for malicious client to impersonate as an enrolled user.","PeriodicalId":260515,"journal":{"name":"2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing","volume":"44 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121026307","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: 15