Current Issue : July - September Volume : 2012 Issue Number : 3 Articles : 7 Articles
The paper illustrates a system that implements a framework, which is oriented to the development of a modular knowledge base\r\nfor a conversational agent. This solution improves the flexibility of intelligent conversational agents in managing conversations.\r\nThe modularity of the system grants a concurrent and synergic use of different knowledge representation techniques. According\r\nto this choice, it is possible to use the most adequate methodology for managing a conversation for a specific domain, taking into\r\naccount particular features of the dialogue or the user behavior.We illustrate the implementation of a proof-of-concept prototype:\r\na set of modules exploiting different knowledge representation methodologies and capable of managing different conversation\r\nfeatures has been developed. Each module is automatically triggered through a component, named corpus callosum, that selects\r\nin real time the most adequate chatbot knowledge module to activate....
Placing numerous objects and their corresponding labels in the stacked graph visualization is a challenging problem. In the\r\nstacked graph, different combinations of initial parameters and filtering effects yield views with hidden information, illegible\r\nlabels, and unused space. The result is a tool that does not take advantage on the unused space to reveal information to the user for\r\nfurther investigation. We present an automatic method for label layout on the unused space in a stacked graph. An evolutionary\r\ncomputation (EC) is used to optimize the best label position according to legibility requirements, as well as requirements for\r\nkeeping semantic relationships between labels and their representative visual objects. A number of EC experiments, as well as a\r\nusability study on label legibility, show that our proposed solution looks promising, as compared to the traditional solutions....
This paper presents a human gait recognition algorithm based on a leg gesture separation. Main innovation in this paper is gait\r\nrecognition using leg gesture classification which is invariant to covariate conditions during walking sequence and just focuses on\r\nunderbody motions and a neuro-fuzzy combiner classifier (NFCC) which derives a high precision recognition system. At the end,\r\nperformance of the proposed algorithm has been validated by using the HumanID Gait Challenge data set (HGCD), the largest gait\r\nbenchmarking data set with 122 objects with different realistic parameters including viewpoint, shoe, surface, carrying condition,\r\nand time. And it has been compared to recent algorithm of gait recognition....
This paper proposes the generalized projective synchronization for chaotic heavy symmetric gyroscope systems versus external\r\ndisturbances via sliding rule-based fuzzy control. Because of the nonlinear terms of the gyroscope, the system exhibits complex\r\nand chaotic motions. Based on Lyapunov stability theory and fuzzy rules, the nonlinear controller and some generic sufficient\r\nconditions for global asymptotic synchronization are attained. The fuzzy rules are directly constructed subject to a common\r\nLyapunov function such that the error dynamics of two identical chaotic motions of symmetric gyros satisfy stability in the\r\nLyapunov sense. The proposed method allows us to arbitrarily adjust the desired scaling by controlling the slave system. It is\r\nnot necessary to calculate the Lyapunov exponents and the Eigen values of the Jacobian matrix. It is a systematic procedure\r\nfor synchronization of chaotic systems. It can be applied to a variety of chaotic systems no matter whether it contains external\r\nexcitation or not. It needs only one controller to realize synchronization no matter how much dimensions the chaotic system\r\ncontains, and the controller is easy to be implemented. The designed controller is robust versus model uncertainty and external\r\ndisturbances. Numerical simulation results demonstrate the validity and feasibility of the proposed method....
Various Nature inspired meta-heuristics algorithms are investigated here. Research papers based on Algorithms like Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Particle Swarm Optimization and Bee Colony Optimization are reviewed. Investigations carried out here are based on the classical Traveling Salesman Problem. Results obtained by various researchers are collected, and as a result of the investigation a comparative analysis is produced. The efficiency of each approach is also discussed and highlighted while writing the conclusion....
Many planning applications must address conflicting plan objectives, such as cost, duration, and resource consumption, and\r\ndecision makers want to know the possible tradeoffs. Traditionally, such problems are solved by invoking a single-objective\r\nalgorithm (such as A*) on multiple, alternative preferences of the objectives to identify nondominated plans. The less-popular\r\nalternative is to delay such reasoning and directly optimize multiple plan objectives with a search algorithm like multiobjective A*\r\n(MOA*). The relative performance of these two approaches hinges upon the number of f -values computed for individual search\r\nnodes. A* may revisit a node several times and compute a different f -value each time. MOA* visits each node once and may\r\ncompute some number of f -values (each estimating the value of a different nondominated solution constructed from the node).\r\nWhile A* does not share f -values between searches for different solutions, MOA* can sometimes find multiple solutions while\r\ncomputing a single f -value per node. The results of extensive empirical comparison show that (i) the performance of multiple\r\ninvocations of a single-objective A* versus a single invocation of MOA* is often worse in time and quality and (ii) that techniques\r\nfor balancing per node cost and exploration are promising....
This paper present a type-2 fuzzy logic system can be applied to a mobile system which is Navigating in changing and dynamic unstructured environments like the outdoor environments need to cope with large amounts of uncertainties that are inherent of natural environments. The type-2 Fuzzy Logic Controller (FLC) has started to emerge as a promising control mechanism for autonomous mobile system navigating in real world environments. This is because such system need control mechanisms such as type-2 FLCs which can handle the large amounts of uncertainties present in real world environments. However, manually designing and tuning the type-2 Membership Functions (MFs) for an interval type-2 FLC to give a good response is a difficult task. Uncertainties to produce a better performance. The evolved type-2 FLCs dealt with the uncertainties present in the real world to give a very good performance that has outperformed their type-1 counterparts as well as the manually designed type-2 FLCs....
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