| 1. |
- del Cueto Belchi, Alejandro, et al.
(författare)
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Multi-sensor olfactory system : Using temperature modulation
- 2012
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Ingår i: 2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings. - : IEEE conference proceedings. - 9781457717710 ; , s. 1139-1141
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Konferensbidrag (refereegranskat)abstract
- In recent years, with the advent of new and cheaper sensors, the use of olfactory systems in home, industry and hospital has get a new start. Multi-sensor systems can improve the ability to distinguish between complex mixtures of volatile substances. In this approach, 32 metal oxide semiconductor (MOS) sensors operating at different temperatures have been used to develop a multi-sensor olfactory system.
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| 2. |
- del Cueto Belchi, Alex, et al.
(författare)
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Sensor characterization for multisensor odor-discrimination system
- 2013
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Ingår i: Sensors and Actuators A-Physical. - : Elsevier BV. - 0924-4247 .- 1873-3069. ; 191, s. 68-72
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Tidskriftsartikel (refereegranskat)abstract
- In recent years, with the advent of new and cheaper sensors, the use of olfactory systems in homes, industries, and hospitals has a new start. Multisensor systems can improve the ability to distinguish between complex mixtures of volatile substances. To develop multisensor systems that are accurate and reliable, it is important to take into account the anomalies that may arise because of electronic instabilities, types of sensors, and air flow. In this approach, 32 metal oxide semiconductor sensors of 7 different types and operating at different temperatures have been used to develop a multisensor olfactory system. Each type of sensor has been characterized to select the most suitable temperature combinations. In addition, a prechamber has been designed to ensure a good air flow from the sample to the sensing area. The multisensor system has been tested with good results to perform multidimensional information detection of two fruits, based on obtaining sensor matrix data, extracting three features parameters from each sensor curve and using these parameters as the input to a pattern recognition system.
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| 3. |
- Olarte, Oscar, et al.
(författare)
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Glucose detection in human sweat using an electronic nose
- 2013
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Ingår i: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. - New York : IEEE conference proceedings. - 9781457702143 - 9781457702167 ; , s. 1462-1465
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Konferensbidrag (refereegranskat)abstract
- In the last years attempts to develop a non-invasive glucose system based on the glucose levels in sweat have been studied. In this paper, 32 metal oxide semiconductor (MOS) sensors operating at different temperatures have been used to develop a multisensor olfactory system that allows to study the glucose levels in sweat. In order to develop repeatable experiments, artificial sweat at different glucose concentrations were developed in the laboratory. The obtained results suggest high viability of the approach. Although, the sensitivity of the sensors system needs to be improved.
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| 4. |
- Chilo, José, 1960-, et al.
(författare)
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A flexible electronic nose for odor discrimination using different methods of classification
- 2009
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Ingår i: 2009 16th IEEE-NPSS Real Time Conference - Conference Record. - New York : IEEE. - 9781424444557 ; , s. 317-320, s. 317-320
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Konferensbidrag (refereegranskat)abstract
- Ovarian cancer is one of the leading causes of death from cancer in women. The lifetime risk is around 1.5%, which makes it the second most common gynecologic malignancy (the first one being breast cancer). To have a definitive diagnose, a surgical procedure is generally required and suspicious areas (samples) will be removed and sent for microscopic and other analysis. This paper describes the result of a pilot study in which an electronic nose is used to "smell" the aforementioned samples, analyze the multi-sensor signals and have a close to real-time answer on the detection of cancer. Besides being fast, the detection method is inexpensive and simple. Experimental analysis using real ovarian carcinoma samples shows that the use of proper algorithms for analysis of the multi-sensor data from the electronic nose yielded surprisingly good results with more than 77% classification rate. The electronic nose used in this pilot study was originally developed to be used as a "bomb dog" and can distinguish between e.g. TNT, Dynamex, Prillit. However, it was constructed to be a flexible multi-sensor device and the individual (16) sensors can easily be replaced/exchanged. This is suggestive for further investigations to obtain even better results with new, specific sensors. In another pilot experiment, headspace of an ovarian carcinoma sample and a control sample were analyzed using gas chromatography-mass spectrometry. Significant differences in chemical composition and compound levels were recorded, which would explain the different response obtained with the electronic nose.
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| 5. |
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| 6. |
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| 7. |
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| 8. |
- Chilo, José, 1960-, et al.
(författare)
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EMI disruptive effect on wireless industrial communication systems in a paper plant
- 2009
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Ingår i: Proc. IEEE EMC Symp. Austin-Texas. - 9781424442669 ; , s. 221-224
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Konferensbidrag (refereegranskat)abstract
- It is well known that industrial and factory environments present considerable challenges for wireless communications. Because every industrial environment is different, and may offer a unique set of obstacles to effective wireless communication, a site characterization is needed at first step in determining improvements of existent wireless technologies to increase the reliability. In this work electric field strength and APD measurements have been performed to characterize electromagnetic interference in an industrial paper plant. Common characteristics of the industrial environments affecting wireless communication were identified. Additionally, results show high interference levels at the frequencies for the DECT band 1880-1890 MHz. The interference level is correlated to the working mode of the electrical engines used in the process.
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| 9. |
- Chilo, José, 1960-
(författare)
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Feature Extraction for Low-Frequency Signal Classification
- 2008
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The development of the International Monitoring System (IMS) for the verification of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) has led to a rapid revival of interest in infrasound. Furthermore, the installation of low-frequency sensors at seismic sites has increased in recent years, providing researchers with large and heterogeneous data-sets in near real-time. New techniques are needed to better process all of this data and to extract meaningful information quickly for various applications. In particular, there is a need to find distinct features in the infrasonic signals that allow one to distinguish low level nuclear tests from seismic events. In this thesis three methods for feature extraction from infrasound and other types of low frequency signal data are discussed: (1) discrete wavelets transforms (DWTs); (2) time scale spectra (TSSs) using continuous wavelet transforms (CWTs); and (3) empirical mode decomposition (EMD). The dimensionality of the feature space can range from a few to thousands. For processing highdimensional data we use multi-modal data space to find low-dimensional structures. The advantage of this space is that multiple metrics of similarity are converted into one single Euclidean space. The overall goal of our research is a system for automatic identification and classification of lowfrequency signals in real-time that is easy to implement in hardware. In this thesis we present our design and implementation of the discrete wavelet transform (DWT) on FPGAs for processing a continuous flow of data to obtain optimal extraction of feature information. FPGA simulation and implementation has been realized by using the polyphase structure, the filter reuse method and techniques such as pipelining and basic operations on the QUARTUS II platform. VHDL has been used to describe the functionality of the discrete wavelet transform and ModelSim has been used for the functional verification. Advancements in electronics provide a vital new option for implementation of low-frequency smart sensors that can perform signal processing close to the sensors and transmit the data wirelessly. These smart sensors can improve the efficiency of an automatic classification system and reduce the cost of actual infrasound microphones. The design of a digital wireless data acquisition system using a QF4512 programmable signal converter from Quickfilter Technologies, a MSP430 microcontroller from Texas Instruments and a F2M03GLA Bluetooth module from Free2move for infrasonic records is also presented in this thesis. The digital wireless data acquisition system has passed extensive laboratory and field tests (e.g. with man-made explosions). A study of using a miniature 3-axis fluxgate magnetometer to get fingerprints from ferrous objects is also presented in this thesis. In this experiment, distinguishing features of iron samples of four different shapes were determined using wavelet methods. Systematic differences were observed between the signatures of the four shaped iron samples.
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| 10. |
- Chilo, José, 1960-, et al.
(författare)
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Impulsive noise measurement methodologies for APD determination in M2M environments
- 2009
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Ingår i: Proc. IEEE EMC Symp. Austin-Texas. - 9781424442669 ; , s. 151-154
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Konferensbidrag (refereegranskat)abstract
- Wireless communications in industrial environments are maintained under persistent adverse conditions, such as noise, fading and many electromagnetic interference sources. These electromagnetic interferences exhibit usually impulsive characteristics and it can seriously degrade the performance of the current wireless systems. Over the last few years, the amplitude probability distribution (APD) had been formally written into CISPR16 as a measure of the emitted electromagnetic energy from electrical equipment. In this approach we present two APD measurement methods. The first method based on 12-bit A/D converter and the second one based on in-phase and quadrature components of the impulsive noise at frequencies between 20 and 3000 MHz. Electromagnetic interference measurements in three different industrial environments were performed using the developed methods with promising results.
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