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Wide, Peter
Publications (10 of 21) Show all publications
Scozzari, A. & Wide, P. (2008). The process from a redundant and general sensor concept: towards an optimal sensor strategy for the assessment of drinking water quality. In: IEEE Instrumentation and Measurement Technology Conference, IMTC 2008. Paper presented at 2008 IEEE International Instrumentation and Measurement Technology Conference, I2MTC; Victoria, BC; 12 May - 15 May (pp. 836-841).
Open this publication in new window or tab >>The process from a redundant and general sensor concept: towards an optimal sensor strategy for the assessment of drinking water quality
2008 (English)In: IEEE Instrumentation and Measurement Technology Conference, IMTC 2008, 2008, p. 836-841Conference paper, Published paper (Other academic)
Abstract [en]

The paper focuses on the assumption that a sensor system for personal use has the optimal employment if coherent with the human perception system and provides redundant information by complementing sensors. Therefore, we provide argument for this thesis by demonstrating two examples within the quality indication of drinking water; two different electronic tongue sensors with similar operational principles have been used for making security assessments of drinking water in different environments, from tap, raw water and bottle. ©2008 IEEE.

Keywords
Electronic tongue, Human perception, Human-based sensors, Security assessment, Water quality
National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
urn:nbn:se:oru:diva-14397 (URN)10.1109/IMTC.2008.4547153 (DOI)978-1-4244-1540-3 (ISBN)
Conference
2008 IEEE International Instrumentation and Measurement Technology Conference, I2MTC; Victoria, BC; 12 May - 15 May
Available from: 2011-01-31 Created: 2011-01-31 Last updated: 2017-10-17Bibliographically approved
Wide, P. (2007). Human Based Sensing-sensor systems to complement human perception. Paper presented at Second International Conference on Sensing Technology.
Open this publication in new window or tab >>Human Based Sensing-sensor systems to complement human perception
2007 (English)Conference paper, Oral presentation only (Refereed)
National Category
Engineering and Technology Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
urn:nbn:se:oru:diva-4404 (URN)
Conference
Second International Conference on Sensing Technology
Available from: 2008-02-25 Created: 2008-02-25 Last updated: 2018-01-13Bibliographically approved
Robertsson, L., Iliev, B., Palm, R. & Wide, P. (2007). Perception modeling for human-like artificial sensor systems. International journal of human-computer studies, 65(5), 446-459
Open this publication in new window or tab >>Perception modeling for human-like artificial sensor systems
2007 (English)In: International journal of human-computer studies, ISSN 1071-5819, E-ISSN 1095-9300, Vol. 65, no 5, p. 446-459Article in journal (Refereed) Published
Abstract [en]

In this article we present an approach to the design of human-like artificial systems. It uses a perception model to describe how sensory information is processed for a particular task and to correlate human and artificial perception. Since human-like sensors share their principle of operation with natural systems, their response can be interpreted in an intuitive way. Therefore, such sensors allow for easier and more natural human–machine interaction.

The approach is demonstrated in two applications. The first is an “electronic tongue”, which performs quality assessment of food and water. In the second application we describe the development of an artificial hand for dexterous manipulation. We show that human-like functionality can be achieved even if the structure of the system is not completely biologically inspired.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2007
Keywords
Artificial perceptual systems, Artificial hand, Electronic tongue, Human-based sensors, Passive perception, Active perception, Dexterous manipulation
National Category
Engineering and Technology Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
urn:nbn:se:oru:diva-4089 (URN)10.1016/j.ijhcs.2006.11.003 (DOI)
Available from: 2007-11-01 Created: 2007-11-01 Last updated: 2018-01-13Bibliographically approved
Persson, M. & Wide, P. (2007). Using a sensor source intelligence cell to connect and distribute visual information from a commercial game engine in a disaster management exercise. In: IEEE instrumentation and measurement technology conference proceedings, IMTC 2007. Paper presented at IEEE instrumentation and measurement technology conference, IMTC 2007, 1-3 May, Warsaw (pp. 1-5). New York: IEEE
Open this publication in new window or tab >>Using a sensor source intelligence cell to connect and distribute visual information from a commercial game engine in a disaster management exercise
2007 (English)In: IEEE instrumentation and measurement technology conference proceedings, IMTC 2007, New York: IEEE , 2007, p. 1-5Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a system where different scenarios can be played in a synthetic natural environment in form of a modified commercial game used for scenario simulation. This environment is connected to a command and control system that can visualize, process, store, and distribute sensor data and their interpretations within several command levels. It is specifically intended for mobile sensors used in remote sensing tasks. The system has been used in a disaster management exercise and there distributed information from a virtual accident to different command levels in the crisis management. The information consisted of live and recorded video, reports and map objects.

Place, publisher, year, edition, pages
New York: IEEE, 2007
National Category
Engineering and Technology Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
urn:nbn:se:oru:diva-4405 (URN)10.1109/IMTC.2007.379463 (DOI)1-4244-0588-2 (ISBN)
Conference
IEEE instrumentation and measurement technology conference, IMTC 2007, 1-3 May, Warsaw
Available from: 2008-02-25 Created: 2008-02-25 Last updated: 2018-01-13Bibliographically approved
Iliev, B., Lindquist, M., Robertsson, L. & Wide, P. (2006). A fuzzy technique for food- and water quality assessment with an electronic tongue. Fuzzy sets and systems (Print), 157(9), 1155-1168
Open this publication in new window or tab >>A fuzzy technique for food- and water quality assessment with an electronic tongue
2006 (English)In: Fuzzy sets and systems (Print), ISSN 0165-0114, E-ISSN 1872-6801, Vol. 157, no 9, p. 1155-1168Article in journal (Refereed) Published
Abstract [en]

The problem of food- and water quality assessment is important for many practical applications, such as food industry and environmental monitoring. In this article we present a method for fast online quality assessment based on electronic tongue measurements. The idea is implemented in two steps. First we apply a fuzzy clustering technique to obtain prototypes corresponding to good and bad quality from a set of training data. During the second, online step we evaluate the membership of the current measurement to each cluster and make a decision about its quality. The result is presented to the user in a simple and understandable way, similar to the concept of traffic light signals. Namely, good quality is indicated with by a green light, bad quality with a red one, and a yellow light is a warning signal. The approach is demonstrated in two case studies: quality assessment of drinking water and baby food.

National Category
Computer and Information Sciences Control Engineering
Research subject
Automatic Control
Identifiers
urn:nbn:se:oru:diva-3220 (URN)10.1016/j.fss.2005.12.014 (DOI)
Available from: 2007-01-26 Created: 2007-01-26 Last updated: 2018-01-13Bibliographically approved
Seeman, M., Broxvall, M., Saffiotti, A. & Wide, P. (2006). An autonomous spherical robot for security tasks. In: 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety. Paper presented at 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, Alexandria, VA, USA, 16-17 October 2006 (pp. 51-55).
Open this publication in new window or tab >>An autonomous spherical robot for security tasks
2006 (English)In: 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, 2006, p. 51-55Conference paper, Published paper (Refereed)
Abstract [en]

The use of remotely operated robotic systems in security related applications is becoming increasingly popular However, the direct teleoperation interfaces commonly used today put a large amount of cognitive burden on the operators, thus seriously reducing the efficiency and reliability of these systems. We present an approach to alleviate this problem by exploiting both software and hardware autonomy. At the software level, we propose a variable autonomy control architecture that dynamically adapts the degree of autonomy of the robot in terms of control, perception, and interaction. At the hardware level, we rely on the intrinsic autonomy and robustness provided by the spherical morphology of our Ground-Bot robot. We also present a prototype system for facilitating the interaction between human operators and robots using our control architecture. This work is specifically aimed at increasing the effectiveness of the GroundBot robot for remote inspection tasks

National Category
Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
urn:nbn:se:oru:diva-3893 (URN)10.1109/CIHSPS.2006.313312 (DOI)1-4244-0744-3 (ISBN)
Conference
2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, Alexandria, VA, USA, 16-17 October 2006
Available from: 2007-08-06 Created: 2007-08-06 Last updated: 2018-01-13Bibliographically approved
Robertsson, L., Lindquist, M., Loutfi, A., Iliev, B. & Wide, P. (2005). Human based sensor systems for safety assessment. In: Proceedings of the 2005 IEEE International conference on computational intelligence for homeland security and personal safety, 2005. CIHSPS 2005. Paper presented at 2005 IEEE International conference on computational intelligence for homeland security and personal safety, Orlando FL, March 31 - April 1 2005. CIHSPS 2005 (pp. 137-142).
Open this publication in new window or tab >>Human based sensor systems for safety assessment
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2005 (English)In: Proceedings of the 2005 IEEE International conference on computational intelligence for homeland security and personal safety, 2005. CIHSPS 2005, 2005, p. 137-142Conference paper, Published paper (Refereed)
Abstract [en]

This paper focuses on the assumption that sensor system for personal use has optimal performance if coherent with the human perception system. Therefore, we provide arguments for this idea by demonstrating two examples. The first example is a personal taste sensor for use in finding abnormal ingredients in food. The second application is a mobile sniffing system, coherent with the behavior of a biological system when detecting unwanted material in hidden structures, e.g. explosives in a traveling bag

National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
urn:nbn:se:oru:diva-3219 (URN)10.1109/CIHSPS.2005.1500628 (DOI)0-7803-9176-4 (ISBN)
Conference
2005 IEEE International conference on computational intelligence for homeland security and personal safety, Orlando FL, March 31 - April 1 2005. CIHSPS 2005
Available from: 2007-01-26 Created: 2007-01-26 Last updated: 2017-10-18Bibliographically approved
Lindquist, M. & Wide, P. (2004). New sensor system for drinking water quality. In: Proceedings of the ISA/IEEE Sensors for industry conference, 2004. Paper presented at ISA/IEEE Sensors for industry conference, 2004 (pp. 30-34).
Open this publication in new window or tab >>New sensor system for drinking water quality
2004 (English)In: Proceedings of the ISA/IEEE Sensors for industry conference, 2004, 2004, p. 30-34Conference paper, Published paper (Refereed)
Abstract [en]

A sensor system suitable for measuring qualitative changes In the chemical and the bacterial content in drinking water is presented. The sensor, an electronic tongue, is based on a voltammetric technique and is therefore robust, simple and sensitive to small changes of water quality in the measured sample. The sensor system is constructed so the liquid sample will flow through the sensing unit while measuring continuously. The sensor has a solid construction, does not contain any fragile parts and is independent of how it is positioned. This creates new approaches and the sensor can easily be mounted on a underwater vehicle for continuous inspection of drinking water reservoirs and continuously monitor the quality of the water as well as be mounted directly on a drinking water tap.

National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
urn:nbn:se:oru:diva-3218 (URN)10.1109/SFICON.2004.1287122 (DOI)0-7803-8143-2 (ISBN)
Conference
ISA/IEEE Sensors for industry conference, 2004
Available from: 2007-01-26 Created: 2007-01-26 Last updated: 2017-10-18Bibliographically approved
Kalaykov, I. & Wide, P. (2003). Intelligent feature estimation, based on human's perceptual features. In: IEEE international workshop on soft computing techniques in instrumentation, measurement and related applications, 2003: SCIMA 2003. Paper presented at IEEE International Workshop on Soft Computing Techniques in Instrumentation, Measurement and Related Applications, SCIMA 2003, 17-17 May (pp. 44-48).
Open this publication in new window or tab >>Intelligent feature estimation, based on human's perceptual features
2003 (English)In: IEEE international workshop on soft computing techniques in instrumentation, measurement and related applications, 2003: SCIMA 2003, 2003, p. 44-48Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents a relatively new human-computer interaction paradigm, where a human operator's perceptual actions are mimicked by the computer. In this sensor controlled system concept, we estimate a specific feature characterizing, for example, product quality, and apply intelligent analysis and an optimization to assess product quality as acquired by a human expert. The human operator contributes his/her intelligence to this man-machine interaction through learning the measurement system. An illustrative example shows how the human operator's knowledge and experience are learned by a sensor based system within a complex dough mixing optimization process in an industrial bread baking plant. The resulting sensor system acts as an intelligent feature estimator in a complex industrial process for monitoring the dynamical behavior there. The system allows easy sensor observation and makes decisions based on learning interaction with a human.

Keywords
feature extraction, learning, process monitoring, quality control, sensors, user interfaces
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
urn:nbn:se:oru:diva-4278 (URN)10.1109/SCIMA.2003.1215929 (DOI)0-7803-7711-7 (ISBN)
Conference
IEEE International Workshop on Soft Computing Techniques in Instrumentation, Measurement and Related Applications, SCIMA 2003, 17-17 May
Available from: 2007-12-14 Created: 2007-12-14 Last updated: 2018-01-13Bibliographically approved
Spännar, J., Wide, P. & Sohlberg, B. (2002). A method for measuring strip temperature in the steel industry. IEEE Transactions on Instrumentation and Measurement, 51(6), 1240-1245
Open this publication in new window or tab >>A method for measuring strip temperature in the steel industry
2002 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 51, no 6, p. 1240-1245Article in journal (Refereed) Published
Abstract [en]

In the steel industry, there are many processes that include measuring and control of temperatures. With higher demand on quality, increased production, and effective energy consumption, the use of noncontact temperature measuring techniques has increased. After the cooling section in a continuous annealing-pickling line, the strip temperature is estimated by using the grey box technique. Temperatures are measured in the cavity between the strip and the roller using radiation thermometers. A model is made for estimating strip temperature using the measured temperatures and knowledge of the physics of the process.

Keywords
grey box identification, nonlinear modeling, pyrometer, steel industry, temperature measurements
National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
urn:nbn:se:oru:diva-16078 (URN)10.1109/TIM.2002.808056 (DOI)000180904700016 ()
Available from: 2011-06-22 Created: 2011-06-22 Last updated: 2017-12-11Bibliographically approved
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