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IEEE Transactions on Instrumentation and Measurement
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Year: 2019 | Volume: 68 | Issue: 7
IEEE Transactions on Instrumentation and Measurement publication information
Publication Year: 2019,Page(s):C2 - C2
IEEE Transactions on Instrumentation and Measurement publication information
Year: 2019 | Volume: 68 | Issue: 7
Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis
Publication Year: 2019,Page(s):2315 - 2332
Cited by: Papers (177)
Order tracking (OT), which is realized by signal sampling in equal-angle increment according to the measured rotating speed, is a powerful technique for rotating machine fault diagnosis under variable-speed condition. However, if the tachometer cannot be installed on the rotating machine or the speed signal is not available for some reasons, OT is difficult to be realized. This review summarizes r...Show More
Practical Aspects of Ultrasonic Rotary Encoder—Probe Placing, Real-Time Operation, and Automotive Bench Test
Shigeru Oho;Yuto Kaneko;Masaharu Hara;Yoshiji Oose;Jun Fukuda
Publication Year: 2019,Page(s):2335 - 2345
Cited by: Papers (1)
The operational principle of an ultrasonic rotary encoder was investigated in order to examine the sensitivity of the measurement to the placement of the sensor probe. Ultrasound was sent to the moving blades attached to a rotating signal plate, and its amplitude and frequency were modulated by the blades. The sensor detected the modulated ultrasound, and the angle, speed, and angular velocity of ...Show More
Self-Sustaining Acoustic Sensor With Programmable Pattern Recognition for Underwater Monitoring
Publication Year: 2019,Page(s):2346 - 2355
Cited by: Papers (34)
Minimizing the power consumption of always-on sensors is crucial for extending the lifetime of battery-operated devices that are required to monitor events continuously and for long periods. This paper proposes a novel programmable μW event-driven acoustic detector featuring “always-on” audio pattern recognition. The event-driven detector detects up to eight programmable spectral-temporal features...Show More
A Measurement Strategy to Assess the Optimal Design of an RFID-Based Navigation Aid
Bruno Andò;Salvatore Baglio;Vincenzo Marletta;Ruben Crispino;Antonio Pistorio
Publication Year: 2019,Page(s):2356 - 2362
Cited by: Papers (19)
Different solutions have been proposed to address orientation in indoor/outdoor environments and among them, radio frequency identification (RFID)-based systems represent a strategic choice for its reduced complexity and cost. Widespread practices to validate the behavior of RFID-based systems use specific metrics related to the addressed application, while a general strategy to assess technical p...Show More
Instantaneous Rotation Speed Measurement System Based on Variable Reluctance Sensors for Torsional Vibration Monitoring
Tommaso Addabbo;Mauro Di Marco;Ada Fort;Elia Landi;Marco Mugnaini;Valerio Vignoli;Gianluca Ferretti
Publication Year: 2019,Page(s):2363 - 2373
Cited by: Papers (25)
In this paper, a system for the measurement of the instantaneous speed of rotating parts in turbines is proposed and modeled. The system is based on traditional and widely used variable reluctance sensors often mounted on-board for other purposes. By coupling this sensors with ad hoc rotating target (novel design) and front-end circuit, it is possible to extend the application of this sensor to ac...Show More
FPGA Implementation of a Kalman-Based Motion Estimator for Levitated Nanoparticles
Jiawei Liao;Michael Jost;Michael Schaffner;Michele Magno;Matthias Korb;Luca Benini;Felix Tebbenjohanns;Rene Reimann;Vijay Jain;Michael Gross;Andrei Militaru;Martin Frimmer;Lukas Novotny
Publication Year: 2019,Page(s):2374 - 2386
Cited by: Papers (13)
Optically trapped nanoparticles are used in various fields ranging from biophysics to precision sensing. An optically trapped nanoparticle can be regarded as a harmonic oscillator driven by the thermal fluctuations of its environment. Unlocking the potential of optically levitated systems for precision measurements in the classical and the quantum regime requires cooling of the particle motion. In...Show More
FPGA Implementation of a Kalman-Based Motion Estimator for Levitated Nanoparticles
Jiawei Liao;Michael Jost;Michael Schaffner;Michele Magno;Matthias Korb;Luca Benini;Felix Tebbenjohanns;Rene Reimann;Vijay Jain;Michael Gross;Andrei Militaru;Martin Frimmer;Lukas Novotny
Year: 2019 | Volume: 68 | Issue: 7
Enhanced Electrochemical Detection of Multiheavy Metal Ions Using a Biopolymer-Coated Planar Carbon Electrode
Jae-Hoon Hwang;Xiaochen Wang;Pawan Pathak;Matthew M. Rex;Hyoung J. Cho;Woo Hyoung Lee
Publication Year: 2019,Page(s):2387 - 2393
Cited by: Papers (24)
In this paper, a chitosan biopolymer-coated planar carbon electrode was developed for in situ determination of heavy metals (Zn2+ and Pb2+) using square-wave anodic stripping voltammetry. The experimental conditions were optimized with respect to deposition time, amplitude, and frequency. With 300-s deposition time, the heavy metal stripping was conducted at 0.05-V pulse amplitude, 20-Hz pulse fre...Show More
Guest Editorial The 2018 IEEE International Symposium on Medical Measurements and Applications Special Section
Publication Year: 2019,Page(s):2394 - 2395
An Optical Sampling System for Distributed Atmospheric Particulate Matter
Publication Year: 2019,Page(s):2396 - 2403
Cited by: Papers (33)
The atmospheric particulate matter is considered one of the most dangerous pollutants because of its effects on the climate and human health. Particulate concentration changes largely with spatial position and time, and thus, a distributed real-time monitoring would be mandatory, especially in densely populated areas. The proposed optical sampling system has a negligible cost with respect to the a...Show More
Measuring the Maximum Power of an $ex~vivo$ Engineered Muscle Tissue With Isovelocity Shortening Technique
Simona Pisu;Marianna Cosentino;Ludovica Apa;Antonio Musarò;Emanuele Rizzuto;Zaccaria Del Prete
Publication Year: 2019,Page(s):2404 - 2411
Cited by: Papers (5)
The final aim of muscle tissue engineering (TE) is to create a new tissue able to restore the functionality of impaired muscles once transplanted in the site of injury. Therefore, functional contractile properties close to that of healthy muscles are desirable to allow for a good compatibility and a proper functional contribution. Since skeletal muscles deal with locomotion during their normal act...Show More
On the Suitability of Low-Cost Compact Instrumentation for Blood Impedance Measurements
Tommaso Addabbo;Ada Fort;Marco Mugnaini;Lorenzo Parri;Michele Pinzi;Valerio Vignoli;Patrick Kapita Mvemba;Matteo Becatti;Victoria Barygina;Niccolò Taddei;Claudia Fiorillo
Publication Year: 2019,Page(s):2412 - 2424
Cited by: Papers (10)
This paper shows the feasibility of the blood analysis based on the electrochemical impedance spectroscopy (EIS) using compact low-cost instrumentations. This paper presents the measurement problem and some models for the interpretation of blood impedance spectra. The requirements for ad-hoc instrumentation are derived, and the implementation of a compact, low-cost, and reliable impedance measurem...Show More
The Influence of Uncertainty Contributions on Deep Learning Architectures in Vision-Based Evaluation Systems
Giuseppina Callari;Arianna Mencattini;Paola Casti;Maria Colomba Comes;Davide Di Giuseppe;Corrado Di Natale;Innocenzo Sammarco;Antonio Pietroiusti;Andrea Magrini;Isidoro Giorgio Lesci;Marco Luce;Antonio Cricenti;Eugenio Martinelli
Publication Year: 2019,Page(s):2425 - 2432
Cited by: Papers (9)
Vision-based measurement (VBM) systems are powerful tool to extract quantitative information by acquiring video sequence or static images. When a VBM is applied to the evaluation of nominal properties, such as image characteristics, the term VBM is substituted with vision-based evaluation (VBE) by extending the framework of operation unit to a new concept of evaluation unit (EU) for the image anal...Show More
The Influence of Uncertainty Contributions on Deep Learning Architectures in Vision-Based Evaluation Systems
Giuseppina Callari;Arianna Mencattini;Paola Casti;Maria Colomba Comes;Davide Di Giuseppe;Corrado Di Natale;Innocenzo Sammarco;Antonio Pietroiusti;Andrea Magrini;Isidoro Giorgio Lesci;Marco Luce;Antonio Cricenti;Eugenio Martinelli
Year: 2019 | Volume: 68 | Issue: 7
Denoising ECG Signal by CSTFM Algorithm: Monitoring During Motorbike and Car Races
Alessandra Galli;Guglielmo Frigo;Daniel Chindamo;Alessandro Depari;Marco Gadola;Giada Giorgi
Publication Year: 2019,Page(s):2433 - 2441
Cited by: Papers (12)
mHealth technology, by using habitual devices, i.e., smartphones, improves prevention, diagnosis, treatment, monitoring, and management of health. Monitoring heart profile during intense sports activities allows to diagnose pathologies, not identifiable with the traditional Holter approach and, therefore, it can help preventing possible injuries. On the other hand, denoising and extracting feature...Show More
Calibration of Vision-Based Measurement of Pain Intensity With Multiple Expert Observers
Paola Casti;Arianna Mencattini;Maria Colomba Comes;Giuseppina Callari;Davide Di Giuseppe;Silvia Natoli;Mauro Dauri;Elena Daprati;Eugenio Martinelli
Publication Year: 2019,Page(s):2442 - 2450
Cited by: Papers (14)
Facial expression is an important component of the pain measurement process, which can be utilized by clinicians in patients with impaired communicative or cognitive abilities. However, given the complex nature of the pain and the absence of a standard reference, accurate measurement of pain in hospital settings is a difficult practice. In this paper, we present a vision-based measurement system a...Show More
Trip-Based Measures of Naturalistic Driving: Considerations and Connections With Cognitive Status in Older Adult Drivers
Jennifer Howcroft;Bruce Wallace;Rafik Goubran;Shawn Marshall;Michelle M. Porter;Frank Knoefel
Publication Year: 2019,Page(s):2451 - 2459
Cited by: Papers (9)
Older adult drivers can experience age-related health declines, particularly cognitive health, that can negatively impact driving performance and lead to driver license revocation. The measurement of naturalistic in-car driving behavior can be used to evaluate trip complexity, including diversity, length, and frequency of trips and associated destinations. This paper examined measurement methods f...Show More
3-D Hemorrhage Imaging by Cambered Magnetic Induction Tomography
Publication Year: 2019,Page(s):2460 - 2468
Cited by: Papers (29)
Magnetic induction tomography (MIT) is a promising imaging technique for hemorrhage detection due to the features of initial diagnosis and continuous monitoring. The dispersed nature of the electromagnetic field makes the MIT difficult to image the intraaxial hemorrhage. An open cambered MIT was proposed to improve the sensitivity of extraaxial hemorrhage which is located 14-20 mm below the scalp....Show More
A Measurement System to Estimate the Pleural Pressure From the CVP for Respiratory System Monitoring
Tommaso Addabbo;Gennaro Cataldo;Gabriele Cevenini;Ada Fort;Federico Franchi;Riccardo Moretti;Marco Mugnaini;Sabino Scolletta;Valerio Vignoli
Publication Year: 2019,Page(s):2469 - 2478
Cited by: Papers (7)
We present a technique to estimate the pleural pressure combining the information provided by the central venous pressure (CVP) and electrocardiographic signals (ECG) for respiratory system monitoring. We discuss the characterization of the proposed measurement method with theoretical modeling, numerical analysis, and experiments based on signals acquired from intensive care unit patients. The res...Show More
Accurate Technique for Electrical Permittivity Measurement of Biological Tissue Specimens at Low Frequencies
Publication Year: 2019,Page(s):2479 - 2490
Cited by: Papers (4)
This paper proposes a technique aimed at accurate measurement of electrical permittivity (EP) of small tissue specimens at low frequencies. Accurate measurement of EP of healthy and pathological tissues can facilitate the establishment of many medical applications such as electrical impedance imaging. The proposed novel technique employs hardware with high precision for impedance measurement of ca...Show More
Relative Wavelet Entropy Complex Network for Improving EEG-Based Fatigue Driving Classification
Zhongke Gao;Shan Li;Qing Cai;Weidong Dang;Yuxuan Yang;Chaoxu Mu;Pan Hui
Publication Year: 2019,Page(s):2491 - 2497
Cited by: Papers (61)
Detecting fatigue driving from electroencephalogram (EEG) signals constitutes a challenging problem of continuing interest since fatigue driving has caused the majority of traffic accidents. We carry out a simulated driving experiment for EEG data acquisition. Then, we calculate the wavelet entropy under the alert and fatigue state, respectively, and find that the wavelet entropy gets an acceptabl...Show More
A Multiview Discriminant Feature Fusion-Based Nonlinear Process Assessment and Diagnosis: Application to Medical Diagnosis
Anil Hazarika;Lachit Dutta;Mausumi Barthakur;Manabendra Bhuyan
Publication Year: 2019,Page(s):2498 - 2506
Cited by: Papers (13)
Fusion of large-scale information is the key strategy for the complete understanding of many nonlinear and complicated industrial and medical processes. This paper presents the proposed multiview (MV) feature fusion-based learning generalizing discriminant correlation analysis (DCA) for assessment and diagnosis of nonlinear processes. The core focus of this algorithm is to explore the effectivenes...Show More
An Indoor Ultrasonic System for Autonomous 3-D Positioning
Riccardo Carotenuto;Massimo Merenda;Demetrio Iero;Francesco G. Della Corte
Publication Year: 2019,Page(s):2507 - 2518
Cited by: Papers (59)
Indoor positioning is an emerging technology with wide applications. Augmented and mixed reality need accurate and real-time positioning of user's limbs or direction of sight in real time, and reference points within the real environment. Positioning is also required for mall navigation, elderly people movements monitoring, and many others contexts. Indoor positioning of mobile units (MUs) can be ...Show More
Fault Detection of VLSI Power Supply Network Based on Current Estimation From Surface Magnetic Field
Daigo Takahashi;Tetsuya Iizuka;Nguyen Ngoc Mai-Khanh;Toru Nakura;Kunihiro Asada
Publication Year: 2019,Page(s):2519 - 2530
Cited by: Papers (15)
In the modern very large scale integration systems that demand high reliability, a carefully designed power/ground network is essential in order to provide stable power supply to the internal circuits. Although the power supply connection is always checked before tapeout, after the chip fabrication it is quite difficult to evaluate its actual quality and reliability. This paper proposes a novel wa...Show More
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