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Hierarchical decomposition enables increased number of classes in a classification problem. Class similarities guide the creation of a family of course to fine classifiers which solve categorical problems more effectively than a single flat classifier. High accuracies require precise configurations for each of the family of classifiers. This paper proposes a method to adaptively select the configuration...
Understanding and modeling the brain is one of the key scientific challenges in the twenty-first century, and a grown effort is rising on a global scale. Due to its high parallelism, the hardware implementation of large-scale spiking neural networks (SNNs) promises superior execution speed compared to sequential software approaches. Such systems can significantly benefit from the use of networks-on-chip(NoC),...
Software Defined Networking (SDN) architecture promises to mitigate limitations of traditional networking architectures in order to satisfy today's complex networking needs. However, as all new networking architectures, SDN also presents several inevitable technical challenges to be addressed by researchers. Control plane scalability is one of the crucial issues deserving more attention from both...
We propose a solution to avoid stability, security and performance concerns in multi-player games. This should lead to greater scalability in existing multi-player games but could also provide a way to implement multi-player functionality in an existing single-player game whilst ensuring the code-base stays organised and robust without requiring large modifications to the existing architecture. The...
After repeated attempts to improve methods for developing the enterprise architectures used during complex Department of Defense (DoD) projects, consensus from project managers still indicates the architecture modeling process is costly and returns less that cost-effective benefits. A recent proposal from within the DoD to incorporate Semantic Web techniques into the process promises to resolve identified...
A well suited monitoring and management system is becoming a necessity as the number of cores on single chip systems is increasing. Some works have proposed monitoring systems in order to enable off-chip system debugging, while some others have introduced a monitoring approach towards system self-awareness. The latter tries to facilitate self-management of NoC-based MPSoCs in different aspects, such...
Power optimization has become one of the most challenging design objectives of modern digital systems. Although FPGAs are more and more used, they are however still considered as power inefficient compared to standard-cell or full-custom technologies. New dedicated design approaches are thus needed to reduce this gap. In this paper, we address low-power design on FPGA through a dedicated High-Level...
For the past few years modular design has become the de facto standard for the development of complex VLSI systems. Most of these modular VLSI system designs are generally multi objective in nature with the requisite to tradeoff between many contradictory parameters like speed, power consumed, cost and hardware area. They are heavily used in low end ASIC's which demand low power consumption and cost...
Real-time embedded systems are core issue related to information technology and own huge application demand. This paper presents a service-oriented design methodology that reduces complexity by separating data-related computational parts and interaction among components. Architectures are composed hierarchically to manage embedded models and achieve real-time actor and architecture reuse. We introduce...
To achieve the multilevel security goal some models had been developed such as BLP since 1970s. These models can't successfully work in network environment nowadays due to the difficulty to make the labels of subjects and objects unaltered across different computers. Recent years many researchers put forward cryptographic solutions to address multilevel security problem. But the key management schemes...
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