Instrumentation Mesure Metrologie最新文献

Design and Evaluation of a Spider Web-Like Single-Axis Micro-Electro-Mechanical Systems Accelerometer with High Sensitivity and Fast Response 一种高灵敏度、快速响应的类蛛网单轴微机电系统加速度计的设计与评价

Instrumentation Mesure Metrologie Pub Date : 2023-10-31 DOI: 10.18280/i2m.220504

Haider Al-Mumen

引用次数: 0

Advanced Sensor-Based Cap Cooling System for Mitigating Chemotherapy-Induced Hair Loss 先进的基于传感器的帽冷却系统减轻化疗引起的脱发

Instrumentation Mesure Metrologie Pub Date : 2023-10-31 DOI: 10.18280/i2m.220502

Elaf Alaa Shukur, Auns Q. Al-Neami, Forat Yahya Mohsin

引用次数: 0

A Device for Measuring the Electrical Conductivity of Liquids Using Phase Sensitive Detection Technique 一种用相敏检测技术测量液体电导率的装置

Instrumentation Mesure Metrologie Pub Date : 2023-10-31 DOI: 10.18280/i2m.220501

Salim Kerai, Youcef Hamoudi

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Investigating Fluid Flow Regimes: A Novel Design and Implementation of Bernoulli’s Apparatus 研究流体流动型态:伯努利装置的新设计与实现

Instrumentation Mesure Metrologie Pub Date : 2023-10-31 DOI: 10.18280/i2m.220503

Bernard A. Adaramola, Joseph F. Kayode, Sunday A. Afolalu, Oluwasina L. Rominiyi, Imhade P. Okokpujie, Omolayo M. Ikumapayi

引用次数: 0

Metrological Characterization of Spring Impact Hammer Calibration 弹簧冲击锤校准的计量特性

Instrumentation Mesure Metrologie Pub Date : 2023-10-31 DOI: 10.18280/i2m.220505

Khaled M. Khaled, Riham S. Hegazy

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Measurement of Bubbly Two-Phase Flow in a Vertical Pipe Using Ultrasonic Velocity Profiler and Digital Optical Imaging 利用超声测速仪和数字光学成像技术测量垂直管内气泡两相流

Instrumentation Mesure Metrologie Pub Date : 2023-08-31 DOI: 10.18280/i2m.220403

Nguyen Tat Thang

{"title":"Measurement of Bubbly Two-Phase Flow in a Vertical Pipe Using Ultrasonic Velocity Profiler and Digital Optical Imaging","authors":"Nguyen Tat Thang","doi":"10.18280/i2m.220403","DOIUrl":"https://doi.org/10.18280/i2m.220403","url":null,"abstract":"In this study, a novel measurement framework for two-phase air-water bubbly flow has been developed. It consists of ultrasonic and digital optical imaging systems. The measured parameters include instantaneous velocity profiles of the two phases, void fraction and bubble size of the gas phase. The simultaneous velocity profiles of both phases are measured by the state-of-the-art multiwave Ultrasonic Velocity Profile method - multiwave UVP for short. The void fraction and bubble size are measured by a digital imaging system that exploits high-speed video imaging. Non-intrusive measurement of these instantaneous flow parameters is still a challenge in two-phase flow study. In the present investigation, two ultrasonic signal processing algorithms have been implemented and tested, namely Doppler signal processing and correlation one. Similarly, rigorous digital image processing algorithms implemented in ImageJ tool have been exploited and tested to obtain the average void fraction and bubble size distribution. Furthermore, measurements and analyses have been carried out for various flow conditions. For the particular flow configuration investigated, important experimental data of the two-phase counter-current bubbly flow have been successfully obtained for the first time. The measured data are useful for both experimental and numerical analyses, especially computational fluid dynamics - CFD analyses, of two-phase flows.","PeriodicalId":38637,"journal":{"name":"Instrumentation Mesure Metrologie","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135990227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using Hierarchical Agglomerative Clustering in E-Nose for Coffee Aroma Profiling: Identification, Quantification, and Disease Detection 利用电子鼻中的层次聚类进行咖啡香气分析:鉴定、量化和疾病检测

Instrumentation Mesure Metrologie Pub Date : 2023-08-31 DOI: 10.18280/i2m.220401

Raveena Selvanarayanan, Surendran Rajandran, Youseef Alotaibi

引用次数: 0

Time Series Modeling and Forecasting Using Autoregressive Integrated Moving Average and Seasonal Autoregressive Integrated Moving Average Models 使用自回归综合移动平均和季节自回归综合移动平均模型的时间序列建模和预测

Instrumentation Mesure Metrologie Pub Date : 2023-08-31 DOI: 10.18280/i2m.220404

Vignesh Arumugam, Vijayalakshmi Natarajan

{"title":"Time Series Modeling and Forecasting Using Autoregressive Integrated Moving Average and Seasonal Autoregressive Integrated Moving Average Models","authors":"Vignesh Arumugam, Vijayalakshmi Natarajan","doi":"10.18280/i2m.220404","DOIUrl":"https://doi.org/10.18280/i2m.220404","url":null,"abstract":"Time series analysis is pivotal in discerning temporospatial data patterns and facilitating precise forecasts. This study scrutinizes the cardinal challenges associated with time series modeling, namely stationarity, parsimony, and overfitting, focusing on the application of Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) models. An examination of six datasets reveals that these models adeptly encapsulate underlying data trends, enabling reliable predictions and yielding insightful conclusions. Relative to baseline methods, the proposed models demonstrate superior performance, as indicated by five evaluation metrics: Mean Squared Error (MSE), Frantic, Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and Theil's U-statistics. The most parsimonious ARIMA or SARIMA model was selected for each dataset, with the resultant forecast summary graphically demonstrating the proximity between original and predicted observations. This study aims to contribute to the discourse on the validity and applicability of ARIMA and SARIMA models in time series analysis and forecasting.","PeriodicalId":38637,"journal":{"name":"Instrumentation Mesure Metrologie","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135990230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving the Swelling Phenomenon in the Dynamic Jiles-Atherton Hysteresis Model Using Magnetic Viscosity 利用磁粘度改进动态Jiles-Atherton滞回模型中的膨胀现象

Instrumentation Mesure Metrologie Pub Date : 2023-08-31 DOI: 10.18280/i2m.220405

Aidel Sofiane, Mourad Hamimid

{"title":"Improving the Swelling Phenomenon in the Dynamic Jiles-Atherton Hysteresis Model Using Magnetic Viscosity","authors":"Aidel Sofiane, Mourad Hamimid","doi":"10.18280/i2m.220405","DOIUrl":"https://doi.org/10.18280/i2m.220405","url":null,"abstract":"Iron losses are a major source of inefficiency in electrical devices, such as transformers and rotating machines. Accurately estimating iron losses is essential for optimizing the performance, energy efficiency, and cost-effectiveness of these devices. The swelling phenomenon is a significant factor that affects the accuracy of iron loss estimation. This phenomenon appears in the saturation region of the hysteresis loop under high-frequency regimes and can significantly affect the magnetic properties of the device. This paper presents a novel methodology for addressing the swelling phenomenon and improving the accuracy of iron loss estimation. The methodology is based on the Jiles-Atherton model, which is a well-established model for describing the hysteresis phenomenon in ferromagnetic materials. The methodology is improved by incorporating a novel formulation of the excess field based on magnetic viscosity. The Bertotti approach is used to account for the dynamic effects of the swelling phenomenon. The fmincon algorithm is used to identify the parameters of the Jiles-Atherton model in both quasi-static and dynamic regimes. This algorithm is a MATLAB®-based constrained optimization method that is used to find the set of parameters that minimizes the error between the simulated and measured hysteresis loops. The obtained results show that the proposed methodology is able to accurately estimate iron losses under both quasi-static and dynamic regimes.","PeriodicalId":38637,"journal":{"name":"Instrumentation Mesure Metrologie","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135990235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Soft Sensor Modelling Method Using Improved LWPLS for Fermentation Monitoring of Pichia Pastoris 基于改进LWPLS的毕氏酵母发酵监测软测量建模方法

Instrumentation Mesure Metrologie Pub Date : 2023-08-31 DOI: 10.18280/i2m.220402

Ligang Zhang, Bo Wang, Li Zhu, Qiwei Zhu

引用次数: 0