Browsing by Author "Alse, S."

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    A state transition based approach to recognize gestures using multi level color tracking
    (2013) Alse, S.; Eligar, S.; Domanal, S.G.; Guddeti, G.
    Gesture recognition is one of the most challenging tasks in Human computer interaction and it has wide range of applications. Here we propose a gesture recognition system which does not involve training the machine in order to detect simple gestures. The proposed technique involves multi level color (color inside color) tracking where region of interest (ROI) is found with respect to the outer color and then with respect to the next inner color and so on. Then the technique involves State transition based approach to recognize gestures where the tracked data is broken down into a sequence of transitions which determine a gesture. This technique is used to develop Jarvis[8], an open source project to control Linux systems using gestures and object tracking. © 2013 IEEE.
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    Automatic generation of web service composition templates using WSDL descriptions
    (2015) Sowmya, Kamath S.; Alse, S.; Prasad, P.; Chennagiri, A.R.
    Due to the extensive use and increase in the number of published web services, clustering and automatic tagging of web services to facilitate efficient discovery of web services is crucial. Discovering composite services has gained importance as there is a need for integrating web services to meet complex service requirements. In this regard, we propose a system for clustering services based on features extracted from their WSDL documents for generating service tags and then the cluster tags. Also, based on the service requirements specified by the requester, our system can identify and generate potential composite service templates. These are basically the subgraphs of the service dependency graph generated by considering only relevant services determined by matching cluster tags and service tags with the request tokens. It was seen that the search domain for service composition was significantly reduced by clustering and tagging and the system obtained meaningful and encouraging results. � Springer India 2015.
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    Automatic generation of web service composition templates using WSDL descriptions
    (Springer Verlag service@springer.de, 2015) Kamath S․, S.; Alse, S.; Prasad, P.; Chennagiri, A.R.
    Due to the extensive use and increase in the number of published web services, clustering and automatic tagging of web services to facilitate efficient discovery of web services is crucial. Discovering composite services has gained importance as there is a need for integrating web services to meet complex service requirements. In this regard, we propose a system for clustering services based on features extracted from their WSDL documents for generating service tags and then the cluster tags. Also, based on the service requirements specified by the requester, our system can identify and generate potential composite service templates. These are basically the subgraphs of the service dependency graph generated by considering only relevant services determined by matching cluster tags and service tags with the request tokens. It was seen that the search domain for service composition was significantly reduced by clustering and tagging and the system obtained meaningful and encouraging results. © Springer India 2015.
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    A state transition based approach to recognize gestures using multi level color tracking
    (2013) Alse, S.; Eligar, S.; Domanal, S.G.; Ram Mohana Reddy, Guddeti
    Gesture recognition is one of the most challenging tasks in Human computer interaction and it has wide range of applications. Here we propose a gesture recognition system which does not involve training the machine in order to detect simple gestures. The proposed technique involves multi level color (color inside color) tracking where region of interest (ROI) is found with respect to the outer color and then with respect to the next inner color and so on. Then the technique involves State transition based approach to recognize gestures where the tracked data is broken down into a sequence of transitions which determine a gesture. This technique is used to develop Jarvis[8], an open source project to control Linux systems using gestures and object tracking. � 2013 IEEE.