MODEL OF ENERGY SAVINGS ACHIEVABLE WITH LOCATION-AWARE NODE-TO-NODE TRANSMISSION IN UBICOMP.
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND ELECTRICAL TECHNOLOGY
Author(s): M. KALEEM GALAMALI , NAWAZ MOHAMUDALLY
Abstract: Tracking Location in mobile environment has been a subject of research for quite long and significant progress has been reached. [1-16]. The next stage has been to make use of this Location-awareness to devise new functionalities and application and also to improve ways of doing existing activities like transmission change from omnidirectional, whole area coverage to directed location-aware and adapted transmission. A big area missing in MAUC is the software engineering approaches into metrics development, metrics gathering and modelling which can be used for prediction and better gearing of future investments of resources. The particular area of concern here is about energy consideration in Ubicomp. How much energy savings can be achieved? Is there any pattern that the trend of energy savings follow under different sets of conditions? Can these conditions be controlled to achieve a particular desirable energy savings trend? How to gather information on probabilities of saving less tha
- Publication Date: 03-Aug-2014
- DOI: 10.15224/978-1-63248-005-7-41
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DEVELOPMENT OF THE MAXIMUM-STREAK MEASURE FOR EVALUATING THE SUITABILITY OF NON-HANDHELD DEVICES IN COGNITIVE TESTS OF PHYSICALLY AND NEUROLOGICALLY IMPAIRED(PNI) CHILDREN
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND ELECTRICAL TECHNOLOGY
Author(s): AUSTEN W. RAINER , FARSHID AMIRABDOLLAHIAN , HOCK C. GAN , RAY J. FRANK , ROB SHARP
Abstract: This study examines an objective measure for discriminating between different degrees of performance in a child’s use of multiple non-hand-held devices when undertaking a simple competence test: the maximum streak of successfully, making a binary (YES / NO) response in the test. The paper reports encouraging results for the maximum consecutive success (streak) measure in its ability to inform on device suitability for a particular child. Our results show that different devices influence success streak, while performance of children vary when using different devices, based on severity of impairment. While this is in line with our main hypothesis, that a suitable match between device and impairment is necessary, our results provide a first candidate measure that can be potentially useful to personalizing a device to a particular user and his/her capabilities.
- Publication Date: 03-Aug-2014
- DOI: 10.15224/978-1-63248-005-7-42
- Views: 0
- Downloads: 0