NDLI: Informational maneuvering in dynamic environment

Content Provider	IEEE Xplore Digital Library
Author	Basir, O.A. Shen, H.C.
Copyright Year	1995
Description	Author affiliation: Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada (Basir, O.A.)
Abstract	By allowing sensors to continuously and autonomously correlate the outcomes of their previous observations and use them to plan for next observations, more effective sensory activities can be achieved. This necessitates that parameters which influence the performance of the sensory task, such as the spatial position and the control parameters of the sensor, possess some sort of a controllable dynamical behavior. In this paper, the authors propose a mathematical formulation which ties together, the state of uncertainty of the sensor and the parameters that control its sensing activities, The proposed model is based on the work of Malyshev et al. (1989) on "Observation Process Optimization". First a model which mimics the uncertainty behavior of the sensor as a function of its control parameters is constructed using a set of first order differential equations which the authors call the differential-uncertainty control model. The active sensing problem is then defined as optimizing an objective function which is constrained by the differential-uncertainty control model as well as other resource constraints which deemed to be significant to the sensory task. A Kalman filter is used, recursively, to update the sensor's estimate of the state of the environment. The authors demonstrate how the sensor continuously optimizes the value of its control parameters, using the formulation, so as to respond to changes in its working environment. An example of a moving vision sensor tracking a moving object is provided to explain the proposed formulation.
Starting Page	999
Ending Page	1004
File Size	605746
Page Count	6
File Format	PDF
ISBN	0780325591
DOI	10.1109/ICSMC.1995.537899
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-22
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Error correction Biological neural networks Retina Design engineering Systems engineering and theory Sensor systems Differential equations Constraint optimization Strain control
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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