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Efficiency and interference shielding are critical factors for conducting successful cognitive task analysis (CTA) of cyber-attack analysis. To achieve this goal, a tool, named ARSCA, is developed to work with an analyst during a cyber-attack analysis task and to capture the main elements in his/her cognitive process. ARSCA conducts process tracing in a way that reduces the study time and the workload...
In recent years, personal information management has become a hot topic in the field of information management. This paper introduces the development and some relevant definitions of personal information management, and points out a series of problems and explores some countermeasures concerning these issues.
Parallel implementation of ant colony optimization (ACO) can reduce the computational time obviously for the large scale combinatorial optimization problem. A novel parallel ACO algorithm is proposed in this paper, which use dynamic transition probability to enlarge the search space by stimulating more ants choosing new path at early stage of the algorithm; use new parallel strategies to improve the...
The Chinese Very Long Baseline Interferometry (VLBI) network (CVN) is a synthetic aperture radio telescope with the equivalent diameter up to 3000 Km. This telescope aims to astronomy observations and deep space explorations. The correlator is the kernel data processor, and its operation is both data intensive and computation intensive. This paper presents the structures of two CVN software correlators...
With the rapid development of IT, the software is infiltrating service industry gradually, innovating the way of service production and delivery. However, such software-included services have no ideal method for their analysis and design, resulting in a big gap between the demand and the actual design. Thus, this paper firstly analysis the software-included services, and propose a novel software-included...
As a successful metaheuristic, ant colony optimization (ACO) performs excellently in solving most combinatorial optimization problems. However, the ACO algorithm needs considerable computational time and resources when the complexity of the problem increases. Parallel implementing is a good ideal to speedup it. A new parallel ant colony optimization (PACO) algorithm is presented, which has the characteristics...
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