Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Silvia Coradeschi"'
Publikováno v:
Sensors, Vol 13, Iss 2, Pp 1578-1592 (2013)
This paper investigates a rapid and accurate detection system for spoilage in meat. We use unsupervised feature learning techniques (stacked restricted Boltzmann machines and auto-encoders) that consider only the transient response from undoped zinc
Externí odkaz:
https://doaj.org/article/9964d84ad37d4c70a1c3a420f892764e
Autor:
Silvia Coradeschi, Amy Loutfi
Publikováno v:
IEEE Intelligent Systems. 23:41-48
Smell, it helps remind us when it's time to take out the garbage or change the baby's diaper. We use it to detect danger, such as a gas leak or food burning on the stove. Industries that develop products to help us either smell good or prevent aromat
Autor:
Amy Loutfi, Silvia Coradeschi
Publikováno v:
Autonomous Robots. 20:239-249
In this paper, we explore the integration of an electronic nose and its odour discrimination functionalities into a multi-sensing robotic system which works over an extended period of time. The robot patrols an office environment, collecting odour sa
Publikováno v:
Robotics and Autonomous Systems. 52:272-289
Olfaction is a challenging new sensing modality for intelligent systems. With the emergence of electronic noses, it is now possible to detect and recognize a range of different odours for a variety of applications. In this work, we introduce a new ap
Publikováno v:
Sensors, Vol 13, Iss 2, Pp 1578-1592 (2013)
Sensors (Basel, Switzerland)
Sensors
Volume 13
Issue 2
Pages 1578-1592
Sensors (Basel, Switzerland)
Sensors
Volume 13
Issue 2
Pages 1578-1592
This paper investigates a rapid and accurate detection system for spoilage in meat. We use unsupervised feature learning techniques (stacked restricted Boltzmann machines and auto-encoders) that consider only the transient response from undoped zinc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d0b493e6cb575062f96f038d51973fa
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-34598
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-34598
Publikováno v:
IEEE transactions on bio-medical engineering. 57(12)
In this paper, we introduce a method for identification of bacteria in human blood culture samples using an electronic nose. The method uses features, which capture the static (steady state) and dynamic (transient) properties of the signal from the g
Publikováno v:
AIP Conference Proceedings.
This paper investigates the classification of odours using an electronic nose mounted on a mobile robot. The samples are collected as the robot explores the environment. Under such conditions, the sensor response differs from typical three phase samp
Publikováno v:
Publikationer från Örebro universitet.
SUMMARYMobile olfactory robots can be used in a number of relevant application areas where a better understanding of a gas distribution is needed, such as environmental monitoring and safety and security related fields. In this paper, we present a me
Autor:
Silvia Coradeschi, Amy Loutfi
Publikováno v:
ICRA
More and more work in the field of artificial olfaction considers the integration of olfaction onto robotic systems. An important part of this integration is providing the robot with the ability to discriminate between different odour substances. Thi
Publikováno v:
IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276).
When humans fail to recognize a new odor we rely on our previous knowledge of known odors to describe linguistically the attributes, quality or even the experience surrounding the detected smell. Meanwhile, for an electronic nose a new odor is encode