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Several hardware implementations of elliptic curve cryptography have been recently proposed for resource-constrained applications but few of them considered the power analysis countermeasures. In this paper, a new modular multiplication with zero-value attack countermeasure is proposed. The Montgomery ladder algorithm and randomized projective coordinates method are used to resist simple power analysis...
With the ubiquity of social networks and mobile devices, various new mobile applications for impromptu group formation and communications have emerged recently, such as Meetup, Plancast, Yahoo! Upcoming, Eventbrite and Epinions. Among those important applications, finding a dense subgraph in a social network plays a crucial role, but the current algorithms are only designed for online social networks...
This paper discusses bi-objective optimization algorithms for energy efficient traffic grooming in a bandwidth constraint IP over WDM network. If the maximum network throughput is required for traffic grooming, the algorithms use the priori method to maximize the network throughput, and then to minimize the energy consumption afterwards. If the maximum network throughput is not required, the minimum...
Both the resolution SAR image and acquisition period are significantly improved with the dramatically development in astronautics and microelectronic techniques, providing new opportunities for SAR specialists to analyze data whose information has never been as abundant as nowadays. In this work, we introduce two algorithms to handle high resolution SAR images: for spatial SAR comparison, we employ...
Due to the difficulty of determining node number of hidden layers and center, slow learning speed and weaken generalization ability of RBF neural network when input data is generous and complex. A new method based on combined clustering is presented here to determine node number of hidden layer and centers of RBF neural network self-adaptively. In this paper, subtractive clustering is used to cluster...
To investigate the efficacy of Galvin, Bortfeld and Siochi leaf sequencing algorithm, a leaf sequencing optimization program that compares the results of typical clinical cases is presented. The output of this program is the number of segment and the total number of monitor unit of each clinical case based on the aforementioned three algorithms. Numerical results of each case are analyzed and tested...
Feature selection is one of the key technologies for text categorization. Currently, it mainly includes technologies based statistics which is primarily from information theory and technologies based semantics which covers natural language processing, semantic Web etc.. Based on Poisson hypothesis, this article presents a new method combining both and tries to find features in documents with more...
Agent modeling simulation had been widely applied in pedestrian behavior study. However, different to vehicles that behave on linear vector road networks, the pedestrians should be considered as active dots that behave in two-dimensional raster road space during outdoor activities. Since taking into account a large number of cells in the raster space equally forming one link in the vector space, it...
Data stream clustering is an importance issue in data stream mining. In most of the existing algorithms, only the continuous features are used for clustering. In this paper, we introduce an algorithm HDenStream for clustering data stream with heterogeneous features. The HDenstream is also a density-based algorithm, so it is capable enough to cluster arbitrary shapes and handle outliers. Theoretic...
FFT algorithm is the popular software design for spectrum analyzer, but doesnpsilat work well for parallel hardware system due to complex calculation and huge memory requirement. Observing the key components of a spectrum analyzer are the intensities for respective frequencies, we propose a Goertzel algorithm to directly extract the intensity factors for respective frequency components in the input...
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