Dr. Sumam Mary Idiculahttps://dyuthi.cusat.ac.in:443/xmlui/handle/purl/20782024-02-07T17:26:30Z2024-02-07T17:26:30ZAgent Based Evacuation Simulation Using Leader-Follower ModelSumam, Mary IdiculaVani, Khttps://dyuthi.cusat.ac.in:443/xmlui/handle/purl/41112014-07-18T20:30:31Z2013-08-01T00:00:00ZAgent Based Evacuation Simulation Using Leader-Follower Model
Sumam, Mary Idicula; Vani, K
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
International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August 2013
2013-08-01T00:00:00ZAgent Based Simulation of Street RobberySumam, Mary IdiculaAmrutha, Shttps://dyuthi.cusat.ac.in:443/xmlui/handle/purl/41102014-07-18T20:30:31Z2013-01-01T00:00:00ZAgent Based Simulation of Street Robbery
Sumam, Mary Idicula; Amrutha, S
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
International Journal of Scientific & Engineering Research Volume 4, Issue 8, August-2013
2013-01-01T00:00:00ZComparison of Statistical and Semantic Similarity Techniques for Paraphrase IdentificationSumam, Mary IdiculaSavitha, Sam Abrahamhttps://dyuthi.cusat.ac.in:443/xmlui/handle/purl/41092014-07-18T20:30:32Z2012-01-01T00:00:00ZComparison of Statistical and Semantic Similarity Techniques for Paraphrase Identification
Sumam, Mary Idicula; Savitha, Sam Abraham
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].
2012 International Conference on Data Science & Engineering (ICDSE)
2012-01-01T00:00:00ZSyntactic Based Machine Translation from English to MalayalamSumam, Mary IdiculaAnitha, Nair Thttps://dyuthi.cusat.ac.in:443/xmlui/handle/purl/41082014-07-18T20:30:32Z2012-01-01T00:00:00ZSyntactic Based Machine Translation from English to Malayalam
Sumam, Mary Idicula; Anitha, Nair T
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.
2012 International Conference on Data Science & Engineering (ICDSE)
2012-01-01T00:00:00Z