In this paper we deal with the problem of addition of new documents in collection when documents are represented in lower dimensional space by concept indexing. Concept indexing (CI) is a method of feature constructio...
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In this paper we deal with the problem of addition of new documents in collection when documents are represented in lower dimensional space by concept indexing. Concept indexing (CI) is a method of feature construction that is relying on concept decomposition of term-document matrix. By using CI original representations of documents are projected on the space spread by centroids of clusters, which are called concept vectors. This problem is especially interesting for application on World Wide Web. Proposed methods are tested for the task of information retrieval. Vectors on which the projection is done in the process of dimension reduction are constructed on the basis of representations of all documents in the collection, and computation of the new representations in the space of reduced dimension demands recomputation of concept decomposition. The solution to this problem is the development of methods which will give approximate representation of newly added documents in the space of reduced dimension. In the paper are introduced two methods for addition of new documents in the space of reduced dimension. In the first method there no addition of new index terms and added documents are represented by existing list of index terms, while in the second method list of index terms is extended and representations of documents and concept vectors are extended in dimensions of newly added terms. It is shown that representation of documents by extended list of index terms does not improve performance of information retrieval significantly.
The main contribution of this paper is a practical application of generalised neural networks for a dextrous hand moved by Shape Memory Alloys (SMA). Since SMA have highly non-linear characteristics and their paramete...
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The main contribution of this paper is a practical application of generalised neural networks for a dextrous hand moved by Shape Memory Alloys (SMA). Since SMA have highly non-linear characteristics and their parameters depend on the environment (mainly on temperature) so the robot hand is controlled by a generalised neural network, which can learn the actual non-linear characteristics of the robot hand. The experimental setup consists of a 20 degree of freedom hand moved by SMA string used as artificial muscle. A video camera is used to detect the position of Joints. The position is then sent to the visual display computer via the Internet, which displays the hand in 3D using OpenGl.
The advancement of traffic makes world more and more internationalized and increases frequency of communication between people who come from different cultures. Differences in their conversation go beyond the language...
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ISBN:
(纸本)9531841101
The advancement of traffic makes world more and more internationalized and increases frequency of communication between people who come from different cultures. Differences in their conversation go beyond the languages they speak to the non-verbal behaviors they express while talking. To improve the abilities of the embodied conversational agents (ECAs) while interacting with human users we are working on the ECA based application, a tour guide of city Dubrovnik that servers visitors in Japanese, Croatian and general western cultures speaking in English. This paper presents the overall architecture and explains possible extension with another culture. It describes issues we met while making agent talk in Croatian and proposed solutions.
One of the major issues in dealing with exceptions in open multi-agent systems (MAS) is lack of uniform representation of exceptions and their shared semantics. In the absence of a uniform framework different business...
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In this paper, we show the effectiveness of a GA-based Q-learning method to develop a control table for multiple agents. As a GA-based Q-learning method, we employ a method called "Q-learning with dynamic structu...
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In this paper, we show the effectiveness of a GA-based Q-learning method to develop a control table for multiple agents. As a GA-based Q-learning method, we employ a method called "Q-learning with dynamic structuring of exploration space based on genetic algorithm (QDSEGA)". In QDSEGA, Q-table for Q-learning is dynamically restructured by a genetic algorithm. QDSEGA combines Q-learning and genetic algorithm effectively, however, it has just employed simple genetic operations in their QDSEGA. We have proposed a crossover for QDSEGA to accelerate the convergence speed to develop a control table for multi-legged robot. In this paper, we show the effectiveness of the proposed neighboring crossover to develop a compact control table for multiple agents.
This paper proposes a new model of P systems where the rules are activated by the presence/absence of certain objects in the neighboring regions. We obtain the computational completeness considering only two membranes...
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This paper presents a fuzzy control system to regulate the traffic flow approaching a single real intersection which consists of multiple lanes with turns, by adjusting time parameters and phases of traffic signals. T...
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This paper presents a fuzzy control system to regulate the traffic flow approaching a single real intersection which consists of multiple lanes with turns, by adjusting time parameters and phases of traffic signals. The lanes are cataloged into several groups controlled by individual traffic lights. These lights are further arranged into several light phases. A fuzzy controller was developed to control the time length of each light phase. Evolutionary algorithms were employed to generate the fuzzy logic rule base, using real statistical traffic data for the intersection. To simulate real car flows, new acceleration and deceleration movement models were developed to ensure safe driving by avoiding possible collision. A new fitness function that comprehensively characterizes car flow delay induced from signals was constructed to evaluate the performance of the fuzzy logic controller. Key performance criteria obtained using the fuzzy logic controller were compared with those obtained by the controller used by the Department of Main Roads, Queensland at the intersection.
Scroll bar is one of the most frequently used components of graphical user interfaces (GUIs). It is generally considered to provide overview + detail functionality. The scale ratio of a scroll bar refers to the rate o...
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In this paper, we propose the use of Semantic Web technologies to bridge the gap between authoring systems and authors. The core part of our solution is the ontology-based framework that captures the information about...
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In this paper, we propose the use of Semantic Web technologies to bridge the gap between authoring systems and authors. The core part of our solution is the ontology-based framework that captures the information about the interaction between learning objects (LOs) and four main roles in the educational process (content author, instructional designer, teacher, and learner), and then according to this information proposes the most relevant learning content to the author. The central part of the framework is the Request- Recommendation ontology that formalizes the author's request along with a set of learning content proposals (recommendation), as a response to that request. Furthermore, we propose the use of a weighting scheme to calculate the weight of the content proposals and thus enable their ranking within the recommendation.
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