SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Wide Peter) srt2:(1996-1999)"

Sökning: WFRF:(Wide Peter) > (1996-1999)

  • Resultat 1-4 av 4
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  • Wide, Peter, 1955-, et al. (författare)
  • A fuzzy approach to multi-sensor data fusion for quality profile classification
  • 1996
  • Ingår i: M'96. - New York, USA : IEEE conference proceedings. - 078033700X ; , s. 215-221
  • Konferensbidrag (refereegranskat)abstract
    • In the present paper a multi-sensor system is considered wlicre the sensors comprising it utilize the principles of huinan olfactory sensing and the processing of the sensor iiicasurcnients is done by a fuzzy sensor fusion technique. 'l'hc enipliasis of the paper is on the fuzzy fusion technique used for the classification of the numerical measurements of a quality characteristic in different fuzzy quality profiles.
  •  
2.
  • Wide, Peter, et al. (författare)
  • An air-quality sensor system with fuzzy classification
  • 1997
  • Ingår i: Measurement Science and Technology. - : Institute of Physics (IOP). - 0957-0233 .- 1361-6501. ; 8:2, s. 138-148
  • Tidskriftsartikel (refereegranskat)abstract
    •  sensor system for the measurement of air quality is presented and evaluated. It is based on the approach of mimicking the advantages of human olfactory sensing, using gas sensor measurements and fuzzy sensor fusion. Signals from four sensitive metal - oxide - semiconductor field-effect transistors (MOSFET), each with a unique selectivity profile, are used. Each sensor exhibits information which is extracted by signal analysis and used to determine a crisp air-quality profile. The resulting crisp profile is unique, representing a distinct air quality and serves as a basis for the determining of a fuzzy quality profile. A fuzzy measurement profile is then matched pair-wise to the different fuzzy quality profiles. The matches are processed with help of a fuzzy fusion technique to determine the most representative crisp air-quality profile. Preliminary experiments show that the performance of the proposed fuzzy sensor clustering system is very promising. Environmental air-quality tests inside and outside a car driving in different cities during different seasons resulted in an artificial system determining air-quality opinions. The sensor opinions are classified with reference to three air-quality references (clean, medium and polluted air) and appear to be in accordance with human opinions obtained simultaneously.
  •  
3.
  • Wide, Peter, et al. (författare)
  • Environmental exploration : an autonomous sensory systems approach
  • 1999
  • Ingår i: IEEE Instrumentation & Measurement Magazine. - : Institute of Electrical and Electronics Engineers (IEEE). - 1094-6969 .- 1941-0123. ; 2:3, s. 28-32
  • Tidskriftsartikel (refereegranskat)abstract
    • The purpose of this article is to demonstrate new paradigms in the analysis and design of virtual instrumentation in autonomous sensor systems. By autonomous sensor systems we mean mobile as well as immobile systems that employ a vast array of sensors to analyze or influence dynamic and uncertain external changes. These systems must perform operations in real time, in both expected and unexpected situations, using only limited human intervention. An autonomous sensor system can be used to collect data about a complex and dynamic environment, to perform interpretation and fusion of this data, and to present the resulting information to a human operator in a synthetic form that highlights features of interest of the environment. The system can then be regarded as a virtual instrument. A useful form to organize and present this information is a virtual spatial map-a representation of the environment in which colored geometric figures are placed to indicate that a given feature (or event) has been detected at that location. We illustrate our approach of building virtual instruments by presenting a case study of semi-autonomous remote environmental exploration. A mobile platform gathers information about a remote environment using multi-modal sensor data collection, information processing, and data fusion at different levels of abstraction and resolution. The result of the exploration is a fused virtual map that contains the important features of the environment
  •  
4.
  • Wide, Peter, et al. (författare)
  • Implementation of a Genetic Algorithm for Routing an Autonomous Robot
  • 1997
  • Ingår i: Robotica (Cambridge. Print). - 0263-5747 .- 1469-8668. ; 15:2, s. 207-211
  • Tidskriftsartikel (refereegranskat)abstract
    • A practical implementation of a genetic algorithm for routing a real autonomous robot through a changing environment is described. Moving around in a production plant the robot collects information about its environment and stores it in a temporal map, which is virtually a square grid, taking account of changing obstacles. The evolutional optimizer continuously searches for short paths in this map using string representations of paths as chromosomes. The main features of the implementation include physical realization, random walk exploration, temporal mapping, and dedicated genetic operators.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-4 av 4

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy