Technical Reports (Computing Science)
Technical Reports Collection
Items in this Collection
- 14Nascimento, Mario
- 2Chitkara, Vishal
- 2Coman, Alexandru
- 2Falcao, Alexandre
- 2Malhotra, Baljeet
- 2Nikolaidis, Ioanis
- 5Database Systems
- 2Color histograms
- 2Color-based image retrieval
- 2Communication Networks
- 2Content-based image retrieval
- 2Sensor networks
-
2013
Nascimento, Mario, Wang, Zhiyu, MacGregor, Mike
Mobile objects can be equipped with sensors enabling them to collect data, as well as answer queries remotely and in real-time. For that, one needs to be able to effectively route queries from a base station to the queried object in an efficient way, i.e., with minimum energy-cost and/or minimum...
-
2009
Malhotra, Baljeet, Nikolaidis, Ioanis, Nascimento, Mario
Technical report TR09-14. We consider the problem of aggregation convergecast scheduling in wireless sensor networks. Aggregation convergecast differs from regular convergecast in that it accommodates transmission dependencies that allow in-network aggregation to be performed. We formulate the...
-
On the Trade-Off Between User-Location Privacy and Queried-Location Privacy in Wireless Sensor Networks
Download2009
Harms, Janelle, Vogt, Ryan, Nascimento, Mario
Technical report TR09-07. By eavesdropping on a user's query in a sensor network, an adversary can deduce both the user's location and his/her area of interest. In many domains it is desirable to guarantee privacy of both places. Relying on the principle of k-anonymity, we propose an effective...
-
2009
Alencar, Romulo, Nascimento, Mario, Brayner, Angelo
Technical report TR09-05. It is a well known fact that minimizing energy consumption in Wireless Sensor Networks (WSNs) is crucial for its usability; and minimizing the flow of data is one way to achieve that. Most WSN models assume the existence of a base station where query results could in...
-
2008
Nikolaidis, Ioanis, Nascimento, Mario, Malhotra, Baljeet
Technical report TR08-02. We consider the problem of vehicle classification using acoustic signals captured within a sensor network. The sensors perform collaborative decision and/or data fusion in a distributed and energy efficient manner. We present a distributed cluster-based algorithm,...
-
2006
Nascimento, Mario, Coman, Alexandru, Sander, Joerg
Technical report TR06-24. Wireless sensor networks have received much attention recently. Given their autonomy, flexibility and large range of functionality, they can be used as an effective and discrete means for monitoring data in many domains. Typically the network autonomy implies a limited...
-
2005
Nascimento, Mario, Sander, Joerg, Coman, Alexandru
Technical report TR05-23. Wireless sensor networks are made of autonomous devices that are able to collect information, store it, process it and share it with other devices. Such framework can be used to efficiently query spatiotemporal data, e.g., for monitoring humidity and temperature levels...
-
2002
Zaiane, Osmar, Nascimento, Mario, Oliveira, Stanley
Technical report TR02-01. Research in information hiding has grown explosively. A large number of techniques have been proposed to discourage copyright infringement, tampering and unauthorized distribution of digital media (e.g. video, audio, and images). In this paper, we provide an overview of...
-
An Adaptive and Efficient Clustering-based Approach for Content Based Image Retrieval in Image Databases
An Adaptive and Efficient Clustering-based Approach for Content Based Image Retrieval in Image Databases
Download2001
Stehling, Renato, Falcao, Alexandre, Nascimento, Mario
Technical report TR01-03. In this paper, we present a new Content-Based Image Retrieval (CBIR) approach which is based on cluster analysis. A distinguishing aspect of CBIR is that it relies on a visual content representation (metadata) of the images. In order to produce such metadata, we propose...
-
A Unified Framework for Searching Multiple Compressed Collections
2001
Nascimento, Mario, Oliveira, Stanley
Technical report TR01-17. In this work, we propose a new framework for searching directly through multiple compressed collections. We combine, in a single framework, four techniques for efficient, low-overhead text retrieval: inverted index compression, block addressing, sequential searching in...