| Abstract: | Agent based simulation is a widely developing area in artificial intelligence.The simulation studies are extensively used in different areas of disaster management. This work deals with the study of an agent based evacuation simulation which is being done to handle the various evacuation behaviors.Various emergent behaviors of agents are addressed here. Dynamic grouping behaviors of agents are studied. Collision detection and obstacle avoidances are also incorporated in this approach.Evacuation is studied with single exits and multiple exits and efficiency is measured in terms of evacuation rate, collision rate etc.Net logo is the tool used which helps in the efficient modeling of scenarios in evacuation |
| Description: | International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August 2013 |
| URI: | http://dyuthi.cusat.ac.in/purl/4111 |
| Files | Size |
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| Agent Based Eva ... Leader-Follower Model.pdf | (588.1Kb) |
| Abstract: | Routine activity theory introduced by Cohen& Felson in 1979 states that criminal acts are caused due to the presenceof criminals, vic-timsand the absence of guardians in time and place. As the number of collision of these elements in place and time increases, criminal acts will also increase even if the number of criminals or civilians remains the same within the vicinity of a city. Street robbery is a typical example of routine ac-tivity theory and the occurrence of which can be predicted using routine activity theory. Agent-based models allow simulation of diversity among individuals. Therefore agent based simulation of street robbery can be used to visualize how chronological aspects of human activity influence the incidence of street robbery.The conceptual model identifies three classes of people-criminals, civilians and police with certain activity areas for each. Police exist only as agents of formal guardianship. Criminals with a tendency for crime will be in the search for their victims. Civilians without criminal tendencycan be either victims or guardians. In addition to criminal tendency, each civilian in the model has a unique set of characteristicslike wealth, employment status, ability for guardianship etc. These agents are subjected to random walk through a street environment guided by a Q –learning module and the possible outcomes are analyzed |
| Description: | International Journal of Scientific & Engineering Research Volume 4, Issue 8, August-2013 |
| URI: | http://dyuthi.cusat.ac.in/purl/4110 |
| Files | Size |
|---|---|
| Agent Based Simulation of Street Robbery.pdf | (471.7Kb) |
| Abstract: | This paper compares statistical technique of paraphrase identification to semantic technique of paraphrase identification. The statistical techniques used for comparison are word set and word-order based methods where as the semantic technique used is the WordNet similarity matrix method described by Stevenson and Fernando in [3]. |
| Description: | 2012 International Conference on Data Science & Engineering (ICDSE) |
| URI: | http://dyuthi.cusat.ac.in/purl/4109 |
| Files | Size |
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| Comparison of S ... aphrase Identification.pdf | (88.92Kb) |
| Abstract: | Due to the emergence of multiple language support on the Internet, machine translation (MT) technologies are indispensable to the communication between speakers using different languages. Recent research works have started to explore tree-based machine translation systems with syntactical and morphological information. This work aims the development of Syntactic Based Machine Translation from English to Malayalam by adding different case information during translation. The system identifies general rules for various sentence patterns in English. These rules are generated using the Parts Of Speech (POS) tag information of the texts. Word Reordering based on the Syntax Tree is used to improve the translation quality of the system. The system used Bilingual English –Malayalam dictionary for translation. |
| Description: | 2012 International Conference on Data Science & Engineering (ICDSE) |
| URI: | http://dyuthi.cusat.ac.in/purl/4108 |
| Files | Size |
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| Syntactic Based ... m English to Malayalam.pdf | (134.8Kb) |
| Abstract: | In this paper, moving flock patterns are mined from spatio- temporal datasets by incorporating a clustering algorithm. A flock is defined as the set of data that move together for a certain continuous amount of time. Finding out moving flock patterns using clustering algorithms is a potential method to find out frequent patterns of movement in large trajectory datasets. In this approach, SPatial clusteRing algoRithm thrOugh sWarm intelligence (SPARROW) is the clustering algorithm used. The advantage of using SPARROW algorithm is that it can effectively discover clusters of widely varying sizes and shapes from large databases. Variations of the proposed method are addressed and also the experimental results show that the problem of scalability and duplicate pattern formation is addressed. This method also reduces the number of patterns produced |
| Description: | 2012 International Conference on Data Science & Engineering (ICDSE) |
| URI: | http://dyuthi.cusat.ac.in/purl/4107 |
| Files | Size |
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| Detection of Fl ... niques - an Experience.pdf | (284.4Kb) |
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