Measurement Science Review最新文献_第3页

Comparison of Low-Cost GNSS Receivers for Time Transfer using Zero-Length Baseline 使用零长度基线进行时间转移的低成本 GNSS 接收机比较

IF 0.9 4区工程技术

Measurement Science Review Pub Date : 2024-03-07 DOI: 10.2478/msr-2024-0006

Marek Doršic

引用次数: 0

An Approach to Recognise Lung Diseases Using Segmentation and Classification 基于分割分类的肺部疾病识别方法

IF 0.9 4区工程技术

Measurement Science Review Pub Date : 2023-11-17 DOI: 10.2478/msr-2023-0032

J Prabakaran, P Selvaraj

{"title":"An Approach to Recognise Lung Diseases Using Segmentation and Classification","authors":"J Prabakaran, P Selvaraj","doi":"10.2478/msr-2023-0032","DOIUrl":"https://doi.org/10.2478/msr-2023-0032","url":null,"abstract":"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. The proposed system for diagnosing lung cancer is divided into two main components: the first part is an analyser component built on the upper layer of the U-shaped Network Transformer (UNT), and the second component is an assessment component built on the upper layer of the self-supervised network, which is used to categorise the output segmentation component as benign or cancerous. The proposed method provides a powerful tool for the early detection and treatment of lung cancer by combining CT scan data with 2D input. Numerous experiments are conducted to improve the analysis and evaluation of the findings. Using the public dataset, both test and training experiments were conducted. New state-of-the-art performances were achieved with experimental results: an analyser accuracy of 96.9% and an assessment accuracy of 96.98%. The proposed approach provides a new powerful tool for leveraging 2D-input CT scan data for early detection and treatment of lung cancer using a variety of methods.","PeriodicalId":49848,"journal":{"name":"Measurement Science Review","volume":"70 7","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating the Performance of wav2vec Embedding for Parkinson's Disease Detection 评估wav2vec嵌入在帕金森病检测中的性能

IF 0.9 4区工程技术

Measurement Science Review Pub Date : 2023-11-17 DOI: 10.2478/msr-2023-0033

Ondřej Klempíř, David Příhoda, Radim Krupička

{"title":"Evaluating the Performance of wav2vec Embedding for Parkinson's Disease Detection","authors":"Ondřej Klempíř, David Příhoda, Radim Krupička","doi":"10.2478/msr-2023-0033","DOIUrl":"https://doi.org/10.2478/msr-2023-0033","url":null,"abstract":"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 self-supervised speech representation model, wav2vec, for PD classification. Based on the computed wav2vec embedding for each available speech signal, we calculated two sets of 512 derived features, wav2vec-sum and wav2vec-mean. Unlike traditional signal processing methods, this approach can learn a suitable representation of the signal directly from the data without requiring manual or hand-crafted feature extraction. Using an ensemble random forest classifier, we evaluated the embedding-based features on three different healthy vs. PD datasets (participants rhythmically repeat syllables /pa/, Italian dataset and English dataset). The obtained results showed that the wav2vec signal representation was accurate, with a minimum area under the receiver operating characteristic curve (AUROC) of 0.77 for the /pa/ task and the best AUROC of 0.98 for the Italian speech classification. The findings highlight the potential of the generalisability of the wav2vec features and the performance of these features in the cross-database scenarios.","PeriodicalId":49848,"journal":{"name":"Measurement Science Review","volume":"47 2","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Experimental Setup for Power Loss Measurement up to 1 kHz using an Epstein Frame at CMI CMI用爱泼斯坦框架测量高达1khz功率损耗的实验装置

IF 0.9 4区工程技术

Measurement Science Review Pub Date : 2023-11-17 DOI: 10.2478/msr-2023-0035

Michal Ulvr

引用次数: 0

Modified Microstrip Feed Hybrid Rectangular Dielectric Resonator Antenna for Wireless Tri-Band Applications 用于无线三波段应用的改进微带馈电混合矩形介质谐振器天线

IF 0.9 4区工程技术

Measurement Science Review Pub Date : 2023-11-17 DOI: 10.2478/msr-2023-0036

B Chaitanya, K Manjunathachari

引用次数: 0

Optimal Deep Learning-Based Recognition Model for EEG Enabled Brain-Computer Interfaces Using Motor-Imagery 基于运动图像的脑机接口的深度学习识别模型

IF 0.9 4区工程技术

Measurement Science Review Pub Date : 2023-11-17 DOI: 10.2478/msr-2023-0031

S. Rajalakshmi, Ibrahim AlMohimeed, Mohamed Yacin Sikkandar, S. Sabarunisha Begum

{"title":"Optimal Deep Learning-Based Recognition Model for EEG Enabled Brain-Computer Interfaces Using Motor-Imagery","authors":"S. Rajalakshmi, Ibrahim AlMohimeed, Mohamed Yacin Sikkandar, S. Sabarunisha Begum","doi":"10.2478/msr-2023-0031","DOIUrl":"https://doi.org/10.2478/msr-2023-0031","url":null,"abstract":"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. Optimal Deep Learning-Based Recognition for EEG Signal Motor Imagery (ODLR-EEGSM) is a novel approach presented in this article that aims to improve the recognition of motor imagery from EEG signals. The proposed method includes several crucial stages to improve the precision and effectiveness of EEG-based motor imagery recognition. The pre-processing phase starts with the Variation Mode Decomposition (VMD) technique, which is used to improve EEG signals. The EEG signals are decomposed into different oscillatory modes by VMD, laying the groundwork for subsequent feature extraction. Feature extraction is a crucial component of the ODLR-EEGSM method. In this study, we use Stacked Sparse Auto Encoder (SSAE) models to identify significant patterns in the pre-processed EEG data. Our approach is based on the classification model using Deep Wavelet Neural Network (DWNN) optimized with Chaotic Dragonfly Algorithm (CDFA). CDFA optimizes the weight and bias values of the DWNN, significantly improving the classification accuracy of motor imagery. To evaluate the efficacy of the ODLR-EEGSM method, we use benchmark datasets to perform rigorous performance validation. The results show that our approach outperforms current methods in the classification of EEG motor imagery, confirming its promising performance. This study has the potential to make brain-computer interface applications in various fields more accurate and efficient, and pave the way for brain-controlled interactions with external systems and devices.","PeriodicalId":49848,"journal":{"name":"Measurement Science Review","volume":"62 5","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

New Measurement Method of Oil-Water Two-Phase Flow with High Water Holdup and Low Rate by Phase State Regulation 高含水率低排量油水两相流相态调节测量新方法

IF 0.9 4区工程技术

Measurement Science Review Pub Date : 2023-11-17 DOI: 10.2478/msr-2023-0034

Lianfu Han, Ming Chen, Xingbin Liu, Changfeng Fu

{"title":"New Measurement Method of Oil-Water Two-Phase Flow with High Water Holdup and Low Rate by Phase State Regulation","authors":"Lianfu Han, Ming Chen, Xingbin Liu, Changfeng Fu","doi":"10.2478/msr-2023-0034","DOIUrl":"https://doi.org/10.2478/msr-2023-0034","url":null,"abstract":"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 two-phase flow is adjusted to oil or water single-phase flow according to the time sequence by the phase state regulation, and the oil-water phase interface is measured with a conductance sensor. A wavelet transform based phase inflection point detection model is proposed to detect the oil-water phase change point. The experimental results show that the maximum measurement error of the flow rate of water is 3.73%, the maximum measurement error of the flow rate of oil is 3.68%, and the flow rate measurement repeatability is 0.0002. The accuracy of the measurement holdup is better than 3.23%, and the repeatability of the measurement holdup is 0.0003. The prototype designed based on this method has two advantages. One is that it is small in size, the other is that it does not depend on the accuracy of the sensor. Therefore, it can be widely used in oilfield ground measurement.","PeriodicalId":49848,"journal":{"name":"Measurement Science Review","volume":"29 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138542823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental Validation of a High-Speed Tracked Vehicle Powertrain Simulation Model 高速履带车辆动力系统仿真模型的实验验证

4区工程技术

Measurement Science Review Pub Date : 2023-10-01 DOI: 10.2478/msr-2023-0025

Luka Ponorac, Ivan Blagojević

{"title":"Experimental Validation of a High-Speed Tracked Vehicle Powertrain Simulation Model","authors":"Luka Ponorac, Ivan Blagojević","doi":"10.2478/msr-2023-0025","DOIUrl":"https://doi.org/10.2478/msr-2023-0025","url":null,"abstract":"Abstract 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 the power requirements and workload of the powertrain components and their optimization. A simulation model was developed, based on the construction parameters of an experimentally tested high-speed tracked vehicle to reduce the time and material resources required for experimental testing. Both the simulation and experimental tests were conducted using the same input parameters and driving conditions for different vehicle turning scenarios. Simulation and experimental test results are compared to verify the accuracy of the simulation model. The analysis of the obtained results shows that the average value of the relative rpm error is about 5%, the average value of the relative torque error is about 7%, while the average value of the relative power error is about 6.5%.","PeriodicalId":49848,"journal":{"name":"Measurement Science Review","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135811255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel Approach to Investigate the Effect of High-Dose Methylprednisolone on Erythrocyte Morphology: White Light Diffraction Microscopy 研究大剂量甲基强的松龙对红细胞形态影响的新方法:白光衍射显微镜

4区工程技术

Measurement Science Review Pub Date : 2023-10-01 DOI: 10.2478/msr-2023-0026

Cigdem Deniz, Ozlem Kocahan, Bengu Altunan, Aysun Unal

引用次数: 0

Analysis of Heart Pulse Transmission Parameters Determined from Multi-Channel PPG Signals Acquired by a Wearable Optical Sensor 基于可穿戴光学传感器采集的多通道PPG信号的心脏脉冲传输参数分析

4区工程技术

Measurement Science Review Pub Date : 2023-10-01 DOI: 10.2478/msr-2023-0028

Jiří Přibil, Anna Přibilová, Ivan Frollo

{"title":"Analysis of Heart Pulse Transmission Parameters Determined from Multi-Channel PPG Signals Acquired by a Wearable Optical Sensor","authors":"Jiří Přibil, Anna Přibilová, Ivan Frollo","doi":"10.2478/msr-2023-0028","DOIUrl":"https://doi.org/10.2478/msr-2023-0028","url":null,"abstract":"Abstract 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 conditions show that the obtained mutual positions of systolic/diastolic blood pressure values and heart pulse transmission parameters determined from the PPG waves can be fitted by a line segment with a sufficiently high slope. Measurement experiments inside the open-air MRI tomograph show the practical influence of vibrations and acoustic noise on the cardiac system of the examined persons, which was confirmed by a slight increase in the heart pulse rate and changes in pulse transmission time and pulse wave velocity. We plan to perform further measurements inside the whole-body MRI device producing more intensive vibrations and noise with expected higher stress impact on an exposed person.","PeriodicalId":49848,"journal":{"name":"Measurement Science Review","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135811251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0