Physical and Virtual Intelligent Sensors for Integrated Health Management Systems

Mahajan, Anupama; Oesch, Christopher; Padmanaban, Haricharan; Utterback, Lucas; Chitikeshi, Sanjeevi; Figueroa, Fernando

doi:10.21307/ijssis-2017-495

Cited by 9 publications

(11 citation statements)

References 18 publications

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“…Almost all embedded measurement systems depends heavily on the performance of an integrated ADC [33][34][35] and in order to reduce cost and power consumption, a small microcontroller is typically preferred. Typical microcontrollers only have 8-or 10-bit ADCs.…”

Section: Discussionmentioning

confidence: 99%

Interpolation of Microcontroller ADC by Self Induced Dithering

Bengtsson

2013

International Journal on Smart Sensing and Intelligent Systems

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Abstract-The resolution of ADCs (Analog-to-Digital Converters) can be improved by dithering, i.e. by intentionally injecting white noise into the analog signal. This work describes the theory behind dithering, how to optimize the magnitude of the noise and also a design that illustrates how dithering can be implemented to increase the resolution of a microcontroller's ADC. In order to demonstrate the potential of the design, the resolution of the 10-bit ADC of a PIC18F458 microcontroller is increased to 12 bits by dithering. This is possible by oversampling and decimation. The great advantage of the proposed design is that the noise is generated by the microcontroller itself, obviating the need of an external noise source.

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Section: Discussionmentioning

confidence: 99%

Interpolation of Microcontroller ADC by Self Induced Dithering

Bengtsson

2013

International Journal on Smart Sensing and Intelligent Systems

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“…They can automatically choose measuring range, carry out algorithmic correction of the measurement results, operate in a dialogue with the central control system, take decisions, transfer measurement results in digital form, as well as alarms and others. IS can conduct self-tuning, self-testing and self-examination [5,6].…”

Section: Analysis Possibility Of Metrological Verification Of Sensorsmentioning

confidence: 99%

Metrological verification of cyberphysical systems

Олеськів

Mykytyn

2015

ZN PRz Elektrotechnika

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This article presents the features of functioning the cyber-physical systems and their components. The possibility to connect measuring devices of electrical quantities, measuring devices of non-electrical quantities, and sensors with data interface to cyber-physical systems components is considered. The analysis opportunity of sensors possible accession to embedded system control is examined. The classification by the sensors output signal type is considered. On the basis of the sensors classification concluded that the cyber-physical systems is most expedient to use intelligent sensors. According to the results of the analysis of the cyber-physical system characteristics and components a multilevel remote metrological verification of cyber-physical systems is proposed. With the proposed algorithm the cyber-physical system components can be verified at the request of any component, subsystem or system as a whole. Also a person can initiate a metrological testing process, if there is suspicion of incorrect operation or its time for cyber-physical system routine verification.

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“…The main applications of these sensors are non-contact temperature measurements and measurements of infrared radiation used in medical procedures [6]- [8], monitoring and process control [9]- [11], security systems [12], [13] and biological experiments [14] where the temperature is important. In [7] a thermopile array for detecting fever patients with infectious diseases in the clinical setting was developed.…”

Section: Introductionmentioning

confidence: 99%

An Inverse Linearization Model for the Characterization of Non-Contact Thermopiles

Botero

Salazar

2016

International Journal on Smart Sensing and Intelligent Systems

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A thermopile is an electronic device that converts thermal energy into electrical energy by means of arrangements of thermocouples that are connected in series. In addition, optical filters restrict the wavelength that strikes the thermopile. One of the main advantages of using a thermopile is its sensitivity to infrared radiation, which allows implementing non-contact thermometers. However, the thermopile does not provide an absolute temperature value, but a value that is proportional to the temperature gradient between the local temperature in the measurement range of the thermopile and its internal temperature. Therefore, it is necessary to integrate temperature sensors aiming to correct the output temperature value. In this sense, the output of the thermopile corresponds to a value generated from the relationship between the internal temperature of the thermopile and the output temperature. This work proposes and evaluates a thermopile characterization model, which uses an incubation system and a thermoelectric cooling device to control the room temperature and the temperature that is read out using the thermopile, respectively. This is based on the automation of the data collection procedure and the characterization of the thermistor that is used to measure the temperature of the thermopile. The result is an experimental operating surface, from which a linearization model was derived.

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Physical and Virtual Intelligent Sensors for Integrated Health Management Systems

Abstract: -This paper describes the development of intelligent sensors as part of an integrated systems

Cited by 9 publications

References 18 publications

Interpolation of Microcontroller ADC by Self Induced Dithering

Interpolation of Microcontroller ADC by Self Induced Dithering

Metrological verification of cyberphysical systems

An Inverse Linearization Model for the Characterization of Non-Contact Thermopiles

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