We follow [18,25] and give a series of improved results for the Constrained Fault-Tolerant Resource Allocation (FTRA) problem. In FTRA, we are given a set of sites containing facilities as resources, and a set of clients consuming these resources. Specifically, each site i is allowed to open at most Ri facilities with cost fi for each opened facility. Each client j requires an allocation of rj ...

Traditional information theory and communication theory assume that decoders are noiseless and operate without transient or permanent faults. Decoders are also traditionally assumed to be unconstrained in physical resources like materiel, memory, and energy. This thesis studies how constraining reliability and resources in the decoder limits the performance of communication systems. Five commun...

Resource Constrained Video Coding/Adaptation Yong Wang Typical video coding systems focus on optimization of the video quality subject to certain resource constraints, such as bandwidth. The rate distortion optimization framework has been widely used in optimizing the performance tradeoffs. One fundamental issue involved is the difficulty in estimating the rate-distortion relationships under di...

We present a study comparing the cost and efficiency tradeoffs of multiple features for multimedia event detection. Low-level as well as semantic features are a critical part of contemporary multimedia and computer vision research. Arguably, combinations of multiple feature sets have been a major reason for recent progress in the field, not just as a low dimensional representations of multimedi...

The use of mobile devices in telemedicine contributes to providing more effective and efficient remote healthcare in rural areas improving patients’ life style and medical quality of service in this setting. The idea of creating mobile applications for this scenario led the authors to face important sociotechnical challenges in terms of innovation and design for resource-constrained environment...

Resource allocation is a widely studied class of problems in Operation Research and Artificial Intelligence. Specially, constrained stochastic resource allocation problems, where the assignment of a constrained resource do not automatically imply the realization of the task. This kind of problems are generally addressed with Markov Decision Processes (mdps). In this paper, we present efficient ...

We present Marvin, a new parallelizable message authentication code based on the ALRED family. The new algorithm is designed with resource-constrained platforms in mind and explores the structure of an underlying block cipher to provide security at a small cost in terms of memory needs. Also, we show how Marvin can be used as an authentication-only function or else in an Authenticated Encryptio...

Resource constrained project scheduling problems have a computational complexity that makes it difficult to obtain optimal solutions using exact methods. Thus, heuristic techniques have been used to generate feasible solutions in acceptable computational times. In this paper, we analyse static population topologies for an algorithm based on the Method of Musical Composition (MMC) to solve the p...

This paper utilizes artificial neural networks based image processing techniques for low capacity and resource constrained devices like mobile phones for camera applications. The system is trained to develop the operating matrix, called the function matrix, by using artificial neural network theory, from a sample input and output image matrix. This is done when the system is in idle mode. After...