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Optimization of Component Assembly in Automotive Industry Meas. Sci. Rev. (IF 0.9) Pub Date : 2024-03-07 Jaromír Křepelka, Petr Schovánek, Pavel Tuček, Miroslav Hrabovský, František Jáně
This article is devoted to the positioning of glued parts by robots in the process of manufacturing automotive headlights, with the possibility of generalization to the mutual positioning of any 3D object. The authors focused on the description of the mathematical method that leads to the optimization of the robot arm setting and ensures the closest contact of the glued parts. The contact surfaces
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Comparison of Low-Cost GNSS Receivers for Time Transfer using Zero-Length Baseline Meas. Sci. Rev. (IF 0.9) Pub Date : 2024-03-07 Marek Doršic
A comparison between low-cost single-frequency and dual-frequency Global Navigation Satellite System (GNSS) receiver timing modules is presented, focusing on their suitability for time transfer applications. The study uses a zero-length baseline measurement approach to assess their performance and highlights the advantages of dual-frequency receivers. The clock comparison residuals between these low-cost
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Measurement Approach to Evaluation of Ultra-Low-Voltage Amplifier ASICs Meas. Sci. Rev. (IF 0.9) Pub Date : 2024-03-07 Richard Ravasz, Miroslav Potočný, Daniel Arbet, Martin Kováč, David Maljar, Lukáš Nagy, Viera Stopjaková
This article presents measurement circuits and a test board developed for the experimental evaluation of prototype chip samples of the Fully Differential Difference Amplifier (FDDA). The Device Under Test (DUT) is an ultra low-voltage, high performance integrated FDDA designed and fabricated in 130nm CMOS technology. The power supply voltage of the FDDA is 400mV. The measurement circuits were implemented
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A High-Performance Method Based on Features Fusion of EEG Brain Signal and MRI-Imaging Data for Epilepsy Classification Meas. Sci. Rev. (IF 0.9) Pub Date : 2024-03-07 Fatma Demirezen Yağmur, Ahmet Sertbaş
A 1-dimensional (1D) and 2-dimensional (2D) biomedical signal analysis based on the Discrete Cosine Transform (DCT) feature extraction method was performed to diagnose epilepsy disorders with high accuracy. For this purpose, Electroencephalogram (EEG) data were used for 1D signal analysis and Magnetic Resonance Imaging (MRI) data were used for 2D signal analysis. The feature vectors were obtained by
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Analysis of Coupled Vibration Characteristics of Linear-Angular and Parameter Identification Meas. Sci. Rev. (IF 0.9) Pub Date : 2024-03-07 Bo Tang, Jiangen Yang, Wei Chen, Xu Ming
A steady-state sinusoidal and distortion-free excitation source is very important for the accuracy and consistency of the calibration parameters of micro-electro-mechanical systems (MEMS) inertial sensors. To solve the problem that the current MEMS inertial measurement unit (IMU) calibration device is unable to reproduce the spatial motion of linear and angular vibration coupling, research topics on
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Design of Calibration System for Multi-Channel Thermostatic Metal Bath Meas. Sci. Rev. (IF 0.9) Pub Date : 2024-03-07 Hua Zhuo, Yan Xu, Weihu Zhou, Feng Li, Yikun Zhao
The use of the thermostatic metal bath is becoming more and more extensive and the requirements for its precision and reliability are also increasing. To meet the needs of the metal bath calibration, a 12-channel thermostatic metal bath temperature field calibration system based on a four-wire PT100 has been designed. The system design includes a front-end temperature measurement component, which consists
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Evaluating the Performance of wav2vec Embedding for Parkinson's Disease Detection Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-11-17 Ondřej Klempíř, David Příhoda, Radim Krupička
Speech is one of the most serious manifestations of Parkinson's disease (PD). Sophisticated language/speech models have already demonstrated impressive performance on a variety of tasks, including classification. By analysing large amounts of data from a given setting, these models can identify patterns that would be difficult for clinicians to detect. We focus on evaluating the performance of a large
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An Experimental Setup for Power Loss Measurement up to 1 kHz using an Epstein Frame at CMI Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-11-17 Michal Ulvr
This paper describes an experimental setup used at the Czech Metrology Institute (CMI) to measure the specific power loss of oriented and non-oriented electrical steel sheets up to 1 kHz using an Epstein frame. Special attention is given to a) a description of the hardware that is used, b) a description of the feedback control and measurement software, and c) an analysis of the sources of uncertainty
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New Measurement Method of Oil-Water Two-Phase Flow with High Water Holdup and Low Rate by Phase State Regulation Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-11-17 Lianfu Han, Ming Chen, Xingbin Liu, Changfeng Fu
Flow rate and holdup are two essential parameters to describe oil-water two-phase flow. The distribution of oil-water two-phase flow in the pipeline is very uneven, and there is a significant slippage between the phases. This makes it difficult to measure these two flow parameters. In this paper, a new measurement method of flow rate and holdup based on phase state regulation is proposed. The oil-water
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Optimal Deep Learning-Based Recognition Model for EEG Enabled Brain-Computer Interfaces Using Motor-Imagery Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-11-17 S. Rajalakshmi, Ibrahim AlMohimeed, Mohamed Yacin Sikkandar, S. Sabarunisha Begum
Brain-Computer Interfaces (BCIs) facilitate the translation of brain activity into actionable commands and act as a crucial link between the human brain and the external environment. Electroencephalography (EEG)-based BCIs, which focus on motor imagery, have emerged as an important area of study in this domain. They are used in neurorehabilitation, neuroprosthetics, and gaming, among other applications
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Modified Microstrip Feed Hybrid Rectangular Dielectric Resonator Antenna for Wireless Tri-Band Applications Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-11-17 B Chaitanya, K Manjunathachari
This article reports the Modified Microstrip Feed Hybrid Rectangular Dielectric Resonator Antenna (RDRA). The proposed structure has a ground plane with a plus-shaped slot on an FR4 substrate with a height of 1.6 mm and dimensions of 38 mm x 35 mm. The proposed Dielectric resonator antenna is made of a material with 10 as its dielectric constant, and the dimensions of the DR are 19 x 20 x 18 mm3. The
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An Approach to Recognise Lung Diseases Using Segmentation and Classification Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-11-17 J Prabakaran, P Selvaraj
Lung cancer is one of the most common causes of death in people worldwide. One of the key procedures for early detection of cancer is segmentation or analysis and classification or assessment of lung images. Radiotherapists have to invest a lot of effort into the manual segmentation of medical images. To solve this issue, early-stage lung cancer is detected using Computed Tomography (CT) scan images
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Experimental Validation of a High-Speed Tracked Vehicle Powertrain Simulation Model Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-10-17 Luka Ponorac, Ivan Blagojević
High-speed tracked vehicles have complex powertrains that, in addition to power transfer and transformation, also perform the functions of vehicle steering and braking systems, as well as power supply system for various subsystems on the vehicle. Analyzing the power balance of a tracked vehicle, especially in specific moving scenarios such as the turning process, is of great importance for understanding
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The Effect of Differential Pressure and Permanent Pressure Loss on Multi-Hole Orifice Plate Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-10-17 TM Hariguru, S Srinivasan
The widely used orifice plate falls under restricted type flow devices, has the highest differential pressure and permanent pressure drop in the ensemble. The objective is to curtail the permanent pressure drop and maintain the differential pressure across the orifice plate, and thereby, the power required to pump the liquid is retrenched. So, three-hole, four-hole and five-hole orifice plates with
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Novel Approach to Investigate the Effect of High-Dose Methylprednisolone on Erythrocyte Morphology: White Light Diffraction Microscopy Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-10-17 Cigdem Deniz, Ozlem Kocahan, Bengu Altunan, Aysun Unal
The present study focuses on quantitative phase imaging of erythrocytes with the aim to evaluate the effects of high-dose methylprednisolone (HDMP) on erythrocytes in vivo under physiological conditions in human blood samples. Samples from ten patients, prescribed to be treated with 1000 mg/day intravenous methylprednisolone for 5 days, were analyzed by white light diffraction phase microscopy (WDPM)
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Analysis of Heart Pulse Transmission Parameters Determined from Multi-Channel PPG Signals Acquired by a Wearable Optical Sensor Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-10-17 Jiří Přibil, Anna Přibilová, Ivan Frollo
The article describes the development and testing of a special prototype wearable device consisting of three optical photoplethysmography (PPG) sensors. The functionality of the developed triple PPG sensor was tested under normal laboratory conditions and in a running magnetic resonance imaging (MRI) scanner working with a low magnetic field. The results of the first measurements under normal laboratory
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In vivo Volumetric, DTI and 1H MRS Rat Brain Protocol for Monitoring Early Neurodegeneration and Efficacy of the Used Therapy Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-10-17 Tomáš Tvrdík, Ľubomír Melicherčík, Katarína Šebeková, Jakub Szabó, Marianna Maková, Daniel Gogola, Svatava Kašparová
The aim of our study was to develop a multimodal experimental protocol for in vivo imaging and metabolic parameters (MRI, DTI and 1H MRS) in an animal model of neurodegeneration. We have successfully developed the protocol for simultaneous DTI/MRI/1H MRS measurement to ensure unaltered conditions for repeatable non-invasive experiments. In this experiment, diffusion tensor imaging, spectroscopic and
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Docking Pose Measurement Method for Large Components Based on Draw-Wire Displacement Sensors Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-10-17 Zheng-yang Sun, Hong-xi Wang, Hui-hui Tian, Bing Liu
A method for measuring the docking pose of large components based on the draw-wire displacement sensor is proposed. In this method, coordinate systems and measurement points are established on the docking surfaces of fixed and moving components. The draw-wire displacement sensor is used to measure the distances between these measurement points. A mathematical model based on the distances between the
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Combination of Non-contact and Contact Measuring Methods for Analyzing Structural Conditions of Dry Transformers Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-09-21 Miroslav Gutten, Daniel Korenciak, Martin Karman, Peter Brncal, Matej Kucera, Tomasz N. Koltunowicz, Maciej Sulowicz
The article describes the non-contact and contact analysis of 1-MVA dry power transformers with epoxy-resin insulation using an acoustic camera and frequency analyzer with automatic sweeping for low-middle frequency areas. Power transformers are most commonly used for construction component (core, windings, taps) analysis. The electrical, non-rotating machine generates electromagnetic and acoustic
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Glucose Concentration Monitoring Using Microstrip Spurline Sensor Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-09-21 Supakorn Harnsoongnoen, Benjaporn Buranrat
This article reports a microstrip spurline sensor for glucose concentration monitoring. The microstrip spurline sensor is a low-cost and easy-to-fabricate device that uses printed circuit board (PCB) technology. It consists of a combination of four spurlines and transmission lines. The four spurlines are used to reject unwanted frequencies, while the transmission lines allow the desired frequencies
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Design and Construction of Metrological Equipment for Torque Sensors with a Carbon-based Measuring Arm Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-09-21 Ľuboš Kučera, Tomáš Gajdošík, Igor Gajdáč, Lukáš Pompáš, Lukáš Smetanka, Viktor Witkovský, Gejza Wimmer
The paper presents a comprehensive design of metrological equipment for torque sensor verification and calibration, detailing the process from conception to construction and highlighting the specifics of the structural design to meet metrological requirements. The measuring device’s functionality and the individual structural components are described, as is the methodology for creating a complete product
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Against the Flow of Time with Multi-Output Models Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-09-21 Jozef Jakubík, Mary Phuong, Martina Chvosteková, Anna Krakovská
Recent work has paid close attention to the first principle of Granger causality, according to which cause precedes effect. In this context, the question may arise whether the detected direction of causality also reverses after the time reversal of unidirectionally coupled data. Recently, it has been shown that for unidirectionally causally connected autoregressive (AR) processes X → Y, after time
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Single and Multi-Point Non-Orthogonal Multiple Access based Power Adaptive Design for Improving Bit Error Ratio Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-09-21 G. Kavitha, J. Deny
In the framework of next-generation communication systems, Non-Orthogonal Multiple Access (NOMA) has attracted considerable interest. The fundamental advantage is that it has greater spectrum utilization than its orthogonal equivalents. This proposed work integrates Single-Input Single-Output NOMA (SISO) with Coordinated Multi-Point (CoMP). It uses both systems based on Quadrature Phase-Shift Keying
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Attitude Control and Parameter Optimization: A Study on Hubble Space Telescope Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-09-21 Emre Sayin, Rahman Bitirgen, Ismail Bayezit
In this work, we build a satellite attitude Proportional-Integral-Derivative (PID) controlled system by using the Hubble Space Telescope (HST) parameters as a reference and tune its controller parameters using various tuning methods. First, we give the equations for the motion of a satellite. We elaborate the control structure as controller, actuator, dynamics, and kinematics subsystems and construct
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Study on Time-frequency Imaging of Ultrasonic Detection with Phase Shifted Fiber Bragg Grating Sensing Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-07-16 Lijun Meng, Xin Tan, Quanquan Yu
The influence of the wavelength difference between the laser source and the phase-shifted fiber Bragg grating (PS-FBG) on the intensity of the power demodulation system based on an adjustable laser source was studied experimentally, and the optimum of the output laser wavelength was determined. Then, the research on time-frequency imaging damage identification based on smooth pseudo-Wigner-Ville distribution
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Conversion of the Bruker Minispec Instrumentation into the Static Magnetic Field Standard Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-07-16 Peter Andris, Ivan Frollo, Jiří Přibil, Daniel Gogola, Tomáš Dermek
The static magnetic field standard is part of many scientific experiments aimed at measuring the magnetic field. Often this device has to be built by oneself, if there is no possibility to buy it off the shelf. One possibility is also to convert a suitable device into a static magnetic field standard. Such a method is also described in this article. When the first experiments showed that the key parts
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The Influence of the Movement Method on the Results of Machine Tool Positioning Accuracy Analysis Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-07-16 Alexander Budimir, Slobodan Tabaković, Milan Zeljković
The improvement of machine tools, and therefore, of industrial production, requires high accuracy of machining while adapting to the different dimensions of the workpieces and to the machines themselves. As a result, the improvement of testing procedures and the analysis of positioning accuracy results represent an important research task in modern manufacturing engineering. The paper presents the
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The Apparatus for Thermomechanical Analysis of Clay-based Ceramics Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-07-16 Tomáš Húlan, Igor Štubňa, Omar Al-Shantir, Anton Trník
A dynamic thermomechanical analysis (D-TMA) apparatus is described for measuring the resonant frequency of the flexural vibration and the internal damping of the sample using the impulse excitation technique (IET). Since the measurement is conducted at temperatures up to 1250 °C, an electromagnetic impulser is used for excitation. The free vibrations are registered by an electret microphone, stored
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A Parameter Estimation Algorithm for Damped Real-value Sinusoid in Noise Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-07-16 Peng Chen, Xin Su, Ting’ao Shen, Ling Mou
To improve the parameter estimation performance of damped real-value sinusoid in noise, a novel algorithm with high accuracy and computational efficiency is proposed that combines the characteristics of good anti-interference, small computation of frequency-domain methods, and high parameter estimation accuracy of time-domain methods. First, the Discrete Fourier Transform (DFT) algorithm and the two-point
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Free-Space Optical Communication with an Optimized Lipschitz Exponent for Biosignal Telemetry Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-07-16 Mathuvanesan Chokkalingam, Chinnadurai Murugaiyan
Healthcare monitoring is a rapidly developing network in the field of advanced medical treatment. The network combines the ideology of wireless communication, signal processing, medical information and real-time processing units to support the medical monitoring system. The proposed work focuses on the development of a Free-Space Optical (FSO) system to transmit the biosignals from a remote distance
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Early Diagnosis of Dementia Patients by SPADE Activity Prediction Algorithm Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-05-03 Khairun Nisa’ Minhad, Araf Farayez, Mamun Bin Ibne Reaz, Mohammad Arif Sobhan Bhuiyan, Siti Balqis Samdin, Mahdi H. Miraz
Dementia is not a specific disease, but a general term for age-related decline or loss of memory, cognitive abilities including problem solving and decision-making, and one’s own language, which significantly interfere with daily life. Researchers around the world have developed ways to automate the diagnosis of dementia through the use of machine learning and data mining approaches. The aim of this
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Alternative Approach Leading to Reduction in Measurement Instrument Uncertainty of EMI Measurement Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-05-03 Mikulas Bittera, Jozef Hallon, Imrich Szolik, Rene Hartansky
Even in the field of electromagnetic compatibility, low measurement uncertainty means high measurement quality. Although there are standardized procedures for obtaining the uncertainty of such a measurement, which facilitate uncertainty estimation, modern approaches show further reduction possibilities. The paper presents an alternative approach to reducing measurement instrument uncertainty in the
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Evaluation of Physiological Effect of Audiological Test based on Galvanic Skin Response Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-05-03 L. Nurel Özdinç Polat, Şükrü Özen
The aim of this study was to determine the physiological effects of the audiological test procedure on individuals and the changes in Galvanic Skin Response (GSR). GSR data from 39 volunteers at rest and during the audiological testing were analyzed and the effects of the audiological testing procedure were evaluated. It was observed that the audiological test showed significant differences according
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3-D Imaging Lidar Based on Miniaturized Streak Tube Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-05-03 Liping Tian, Lingbin Shen, Yanhua Xue, Lin Chen, Ping Chen, Jinshou Tian, Wei Zhao
Streak Tube Imaging Lidar (STIL), with advantages of non-scanning working mode, small distortion, high image framing rate, high resolution in low contrast environment, compact structure, easy miniaturization and high reliability, has a wide range of applications in military, aerospace, space confrontation, attack and defense, and marine law enforcement. This article introduces the principle of single-slit
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Design and Experimental Study of a Probe for Crankshaft Full-automatic Measuring Machine Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-05-03 Meng-ting Xu, Hong-xi Wang, Ya-xiao Wang, Hui-hui Tian
The Crankshaft Full-automatic Measuring Machine (CFMM) features high accuracy, high efficiency and complete measurement parameters, and represents the forefront of a geometric crankshaft accuracy measuring instrument. One of its core technologies is the high-precision radial following the crankshaft connecting rod journal measurement. In this paper, an independent probe design scheme combining the
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Modeling Extreme Values with Alpha Power Inverse Pareto Distribution Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-05-03 Shumaila Ihtisham, Sadaf Manzoor, Alamgir Khalil, Sareer Badshah, Muhammad Ijaz, Hadia Atta
The study focuses on the development of a new probability distribution with applications to extreme values. The distribution is proposed by incorporating an additional parameter into the inverse Pareto distribution using the α-Power Transformation. Various properties of the new distribution are derived. The paper also explores the estimation of the parameters by the Maximum Likelihood Estimation (MLE)
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Reactive Power and Energy Instrument’s Performance in Non-Sinusoidal Conditions Regarding Different Power Theories Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-03-07 Kiril Demerdziev, Vladimir Dimchev
It is important to conduct the examination of reactive power and energy instruments in normal operating conditions, due to their place in the regulated trade of electrical energy. The challenge arises when the normal operating conditions encompass non-sinusoidal voltages and currents, for two main reasons: the fact that the term reactive power/energy is not unambiguously defined in case of harmonically
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Investigation of Flux Transfer along Ferrite Core of Probe Coil for Eddy Current Nondestructive Evaluation Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-03-07 Siquan Zhang
A probe coil with a T-core above a layered conductor with surface hole is investigated for magnetic flux transfer along the ferrite core and enhancement of eddy currents in conductor. The cylindrical coordinate system is adopted and an artificial boundary is added to the solution domain with radius b, and the general formula for calculating the impedance of the T-core coil is derived using the truncated
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Equivalence Ratio Modelling of Premixed Propane Flame by Multiple Linear Regression Using Flame Color and Spatial Characteristics Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-03-07 Hao Yang, Yufeng Lai, Xuanqi Liu, Houshi Jiang, Jiansheng Yang
Equivalence ratio (Φ) is one of the most important parameters in combustion diagnostics. In previous studies, flame color characteristics have been widely applied to model the Φ of premixed hydrocarbon flames. The flame spatial characteristics also change with the varying Φ. In this paper, a high-speed color camera was employed to capture the premixed propane flame images under different Φ conditions
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A Novel Non-Contact Measurement Method of Ball Screw Thread Profile Detection Based on Machine Vision Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-03-07 Bing-yi Miao, Xian-cheng Wang, Jun-hua Chen, Chu-hua Jiang, Meng-yao Qu
The transmission accuracy of the ball screw depends on the processing quality of the thread profile. Traditional detection method of thread profile is complicated and inefficient. When shooting the thread profile of the ball screw in the normal section, the camera axis must be tilted to the lead angle, and adjustment errors are easily introduced from both the front view and the top view. When shooting
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Testing the Performance of the Video Camera to Monitor the Vertical Movements of the Structure via a Specially Designed Steel Beam Apparatus Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-03-07 Mehmet Eren, Ramazan Gürsel Hoşbaş
This article focuses on a specially designed steel beam testing apparatus to determine the dynamics of the structure using data obtained from different sensor systems. The analysis of these different sensor systems is performed by processing data recorded by the Global Navigation Satellite System (GNSS), vision based measurement (video camera), and accelerometer surveys. To perform this analysis, the
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Optimization of Support Vector Machines for Prediction of Parkinson’s Disease Meas. Sci. Rev. (IF 0.9) Pub Date : 2023-03-07 Turgut Özseven, Zübeyir Şükrü Özkorucu
As in all fields, technological developments have started to be used in the field of medical diagnosis, and computer-aided diagnosis systems have started to assist physicians in their diagnosis. The success of computer-aided diagnosis methods depends on the method used; dataset, pre-processing, post-processing, etc. differ according to the processes. In this study, parameter optimization of support
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ISO Linear Calibration and Measurement Uncertainty of the Result Obtained With the Calibrated Instrument Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-10-13 Jakub Palenčár, Rudolf Palenčár, Miroslav Chytil, Gejza Wimmer, Gejza Wimmer, Viktor Witkovský
We address the problem of linear comparative calibration, a special case of linear calibration where both variables are measured with errors, and the analysis of the uncertainty of the measurement results obtained with the calibrated instrument. The concept is explained in detail using the calibration experiment of the pressure transducer and the subsequent analysis of the measurement uncertainties
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Dual-Energy Spectral Computed Tomography: Comparing True and Virtual Non Contrast Enhanced Images Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-10-13 Kateřina Širůčková, Petr Marcoň, Marek Dostál, Anna Širůčková, Přemysl Dohnal
Spectral computed tomography (CT) imaging is one of several image reconstruction techniques based on the use of dual-layer CT. The intensity and attenuation of the radiation are measured in relation to different wavelengths, and such a procedure results in complex three-dimensional (3D) imaging and (pseudo) color adjustment of the soft tissue. This paper compares true non-contrast (TNC) enhanced images
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A Drone as a Reflector Carrier in Laser Tracker Measurements Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-10-13 Michał Jankowski, Maciej Sieniło, Adam Styk
The paper presents the possibility of mechanizing laser tracker measurements using a drone. Performing measurements using a laser tracker requires touching the measured surface with a probe. Usually it is done manually, even if it requires, e.g., climbing a ladder. The drone was applied as a probe carrier for the laser tracker. To measure a point, the modified drone had to land near this point. Touching
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Distributed Fusion Estimation for the Measurements with Bounded Disturbances Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-10-13 Qiang Shen, Can Li, Jieyu Liu, Xinsan Li, Lixin Wang
The information fusion problem is studied for multi-sensor systems in the presence of bounded disturbances. In this paper, a distributed fusion estimation algorithm is proposed based on the set-membership theory, which obtains the overall estimates based on multi-ellipsoids intersection. A parameter adaptive adjustment scheme is derived to guarantee the performance of the algorithm. The feedback mechanism
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An Investigation of Design and Simulation of Horizontal Axis Wind Turbine Using QBlade Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-10-13 Amani I. Altmimi, Aya Aws, Muhsin J. Jweeg, Azher M. Abed, Oday I. Abdullah
The wind turbine blade design is important in obtaining an effective wind turbine. In the field of wind energy, it is essential to understand the design and parameters affecting the blades of the wind turbine in order to obtain a successful design. However, most of the parameters are dependent on each other and this makes the design of wind turbines a challenging task. This research paper used the
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Research on Skeleton Data Compensation of Gymnastics based on Dynamic and Static Two-dimensional Regression using Kinect Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-10-13 Gang Zhao, Hui Zan, Junhong Chen
The intelligent training and assessment of gymnastics movements require studying motion trajectory and reconstructing the character animation. Microsoft Kinect has been widely used due to its advantages of low price and high frame rate. However, its optical characteristics are inevitably affected by illumination and occlusion. It is necessary to reduce data noise via specific algorithms. Most of the
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The Importance of ECG Offset Correction for Premature Ventricular Contraction Origin Localization from Clinical Data Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-10-13 Jana Svehlikova, Anna Pribilova, Jan Zelinka, Beata Ondrusova, Katarina Kromkova, Peter Hlivak, Robert Hatala, Milan Tysler
In this study, the inverse solution with a single dipole was computed to localize the premature ventricular contraction (PVC) origin from long term multiple leads ECG measurements on fourteen patients. The stability of the obtained results was studied with respect to the preprocessing of signals used as an input to the inverse solution and the complexity of the torso model. Two methods were used for
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Automatic Detection of Chip Pin Defect in Semiconductor Assembly Using Vision Measurement Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-08-05 Shengfang Lu, Jian Zhang, Fei Hao, Liangbao Jiao
With the development of semiconductor assembly technology, the continuous requirement for the improvement of chip quality caused an increasing pressure on the assembly manufacturing process. The defects of chip pin had been mostly verified by manual inspection, which has low efficiency, high cost, and low reliability. In this paper, we propose a vision measurement method to detect the chip pin defects
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Importance Analysis of System Related Fault Based on Improved Decision-Making Trial and Evaluation Laboratory Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-08-05 Yandong Xu, Guixiang Shen
The existence of related faults between components brings great difficulties to the analysis of the importance of system components. How to quantify the influence of related faults and evaluate the importance of components is one of the hot issues in current research. In this paper, under the assumption that the fault propagation obeys the Markov process, the PageRank algorithm is integrated into the
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The Collection Efficiency of a Large Area PMT Based on the Coated MCPs Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-08-05 Xingchao Wang, Lin Chen, Qilong Wang, Jianli He, li Liping Tian, Jinshou Tian, Lingbin Shen, Yunji Wang
The electron collection efficiency (CE) of the photomultiplier tube based on microchannel plates (MCP-PMT) is limited by the MCP open area fraction. Coating MCP with a high secondary yield material is supposed to be an effective approach to improve CE. Both typical and coated MCP-PMTs are developed. A relative measurement method is proposed to characterize the collection efficiency performance. Results
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Determination of Dynamic Range of Stand-alone Shock Recorders Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-08-05 Anzhelika Stakhova, Yurii Kyrychuk, Nataliia Nazarenko
In aircraft construction, when creating samples of new equipment, shock tests are often performed, both on individual components and the entire product. It requires introducing non-destructive testing devices into production, it is one of the most important factors in accelerating scientific and technological progress, raising the quality and competitiveness of manufactured products. Applying modern
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A Study on Autonomous Integrity Monitoring of Multiple Atomic Clocks Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-08-05 Bo Xiao, Ya Liu, Yanrong Xue, Xiaohui Li
A stable and reliable time keeping system depends on the integrity monitoring of the atomic frequency standard. This paper reports a scheme for autonomous integrity monitoring of multiple atomic clocks, which combines the frequency standard comparison method and the frequency jump detection method. The frequency standard comparison method uses multi-channel synchronous acquisition technology and digital
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On Modelling of Maximum Electromagnetic Field in Electrically Large Enclosures Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-08-05 Dan Chen, Peng Hu, Zhongyuan Zhou, Xiang Zhou, Shouyang Zhai, Yan Chen
The maximum electromagnetic field formed in the electrically large enclosures for a given input power has always been the focus of electromagnetic compatibility issues such as radiation sensitivity and shielding effectiveness. To model the maximums in a simple manner, the electrically large enclosure can be regarded as a reverberation chamber (RC), thus the generalized extreme value (GEV) theory based
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Eddy Current Microsensor and RBF Neural Networks for Detection and Characterization of Small Surface Defects Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-04-22 Chifaa Aber,Azzedine Hamid,Mokhtar Elchikh,Tierry Lebey
Abstract The growing complexity of industrial processes and manufactured parts, the growing need for safety in service and the desire to optimize the life of parts, require the implementation of increasingly complex quality assessments. Among the various anomalies to consider, sub-millimeter surface defects must be the subject of particular care. These defects are extremely dangerous as they are often
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An Integrated Testing Solution for Piezoelectric Sensors and Energy Harvesting Devices Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-04-22 José Dias Pereira,Mário Alves
Abstract With the fast growth of wireless communications between nodes and sensor units and the increase of devices installed in remote places, and the development of IIoT applications, new requirements for power energy supply are needed to assure device functionality and data communication capabilities during extended periods of time. For these applications, energy harvesting takes place as a good
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Development of Modified Blum-Blum-Shub Pseudorandom Sequence Generator and its Use in Education Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-04-22 Shanshan Yu,Przystupa Krzysztof,Lingyu Yan,Volodymyr Maksymovych,Roman Stakhiv,Andrii Malohlovets,Orest Kochan
Abstract In information security systems, the algorithm of the Blum-Blum-Shub (BBS) generator, which is based on the use of a one-way function and is a cryptographically secure pseudorandom number generator, became widespread. In this paper, the problem of the analysis of modified algorithms of the BBS generator operation is considered to improve their statistical characteristics, namely, the sequence
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Real-Time Instance Segmentation of Metal Screw Defects Based on Deep Learning Approach Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-04-22 Wei-Yu Chen,Yu-Reng Tsao,Jin-Yi Lai,Ching-Jung Hung,Yu-Cheng Liu,Cheng-Yang Liu
Abstract In general, manual methods are often used to inspect defects in the production of metal screws. As deep learning shines in the field of visual detection, this study employs the You Only Look At CoefficienTs (YOLACT) algorithm to detect the surface defects of the metal screw heads. The raw images with different defects are collected by an automated microscopic camera scanning system to build
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Complex Analysis of the Necessary Geometric Parameters of the Tested Component in the Ring-Core Evaluation Process Meas. Sci. Rev. (IF 0.9) Pub Date : 2022-04-22 Patrik Šarga,Alena Galajdová,Marek Vagaš,František Menda
Abstract Residual stress measurement in different sorts of mechanical and mechatronic objects has become an important part of the designing process and following maintenance. Therefore, a sufficient experimental method could significantly increase the accuracy and reliability of the evaluation process. Ring-Core method is a well-known semi-destructive method, yet it is still not standardized. This