Various cryptosystems use exhaustive techniques to search the key space. Such search techniques should be guided in order to be computationally adequate. Here, a Genetic Algorithm, GA, is proposed for the cryptanalysi...
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Various cryptosystems use exhaustive techniques to search the key space. Such search techniques should be guided in order to be computationally adequate. Here, a Genetic Algorithm, GA, is proposed for the cryptanalysis of DES-like systems to find out the underlying key. The genetic algorithm approach is adopted, for obtaining the exact key by forming an initial population of keys that belong to the key subspace. In the proposed algorithms the premature convergence could be avoided by dynamic variation of control parameters that can affect the fitness function. In this paper a new method has been developed for the first time to break DES-like examples. These ex-amples include both DES and FEAL with eight rounds. The performance of the propsed method, as such, is con-siderably faster than exhaustive search and differential cryptanalysis, DC. Therefore, it can be directly applied to a variety of DES-like systems instead of the current DC techniques.
This paper addresses the interconnection design issues of area, power and performance of chip multi processors with shared cache memory. It shows that having shared cache memory contributes a lot to an improved perfor...
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This paper addresses the interconnection design issues of area, power and performance of chip multi processors with shared cache memory. It shows that having shared cache memory contributes a lot to an improved performance, but typical interconnection between cores and the shared cache using crossbar occupies most of the chip area and consumes a lot of power and also does not scale efficiently with increased number of cores. New interconnection mechanisms are needed to address these issues. This research suggests an architectural paradigm in an attempt to gain the advantages of having shared cache with the avoidance of penalty imposed by the crossbar interconnect. The proposed architecture achieves smaller area occupation allowing more space to add additional cache memory. It also achieves better power consumption compared to the existing crossbar architecture "about 60% of the power consumed by the crossbar".
Service-oriented architecture can be considered as a philosophy or paradigm in organizing and utilizing services and capabilities that may be under the control of different ownership domains. Virtualization provides a...
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Service-oriented architecture can be considered as a philosophy or paradigm in organizing and utilizing services and capabilities that may be under the control of different ownership domains. Virtualization provides abstraction and isolation of lower level functionalities, enabling portability of higher level functions and sharing of physical resources. However, dynamics, environmental conditions and increasing complexity / heterogeneity of underlying resources call for adaptive resource handling. In this view an intelligent distributed architecture that enables dynamic user management and control on network-wide resource sharing by using the service oriented architecture concept is presented. Additionally, the proposed architecture supports trading of resources that will enable the transformation of traditional business models.
This work describes an analysis of Ground Penetrating Radar (GPR) measurements at frequency range of 1.7-2.6 GHz to get a relationship between attenuation and density for nine road pavements slabs with different densi...
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In this study, the application of the Radial Basis Function (RBF) with Multiple Input and Multiple Output (MIMO) Neural networks to control two types of non linear model plants of unknown dynamics. For the first step ...
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This paper presents the validation of optimized GPR mixture model based on the microwave nondestructive free space method in order to determine the density of road pavement. Density is an important parameter to determ...
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There has been an intensive research on a good MAC protocol design for wireless sensor networks with stationary nodes in which they all aim at making some wise trade offs between the network performance parameters and...
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Due to environmental mismatch, speech recognition systems often exhibit drastic performance degradation in noisy conditions. This paper presents a model-based technique termed Adaptive Parallel Model Combination (APMC...
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ISBN:
(纸本)9781424423149
Due to environmental mismatch, speech recognition systems often exhibit drastic performance degradation in noisy conditions. This paper presents a model-based technique termed Adaptive Parallel Model Combination (APMC) which compensates the initial acoustic models to reduce the discrepancy. APMC used the well-known PMC technique to composite a set of corrupted speech models, while fine tuning the mean parameter of the models using a transformation-based adaptation technique called Maximum Likelihood Spectral Transformation (MLST). Evaluated on a context-independent phone recognition task, APMC was found to be superior to both PMC and MLST, especially in non-stationary noisy conditions. On average, APMC has achieved 48.81% improvement over the initial models, whereas PMC and MLST have improved the accuracy by 34.12% and 35.23% respectively.
This paper proposes an agent-based simulation model to analyze how team management affects performances of the team with three fundamental parameters: team size, skill combination among team members and task structure...
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This paper proposes an agent-based simulation model to analyze how team management affects performances of the team with three fundamental parameters: team size, skill combination among team members and task structure. The results confirmed are as follows: first, communication cost increases when the team size grows, and team-workers benefit from a right team size to obtain higher productivity;second, each team member has more chances to receive tasks that he/she is good at and then strengthen this skill ability by accumulative experience;third, a team shows more efficiency and robustness under a task environment where both workload and sub-task variety get to a balanceable distribution in a long term.
We propose an intuitive computer graphics authoring method based on interactive evolutionary computation (IEC). Our previous systems employed genetic algorithm (GA) and mainly focused on rapid exploration of a single ...
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