Instrumentation Mesure Metrologie最新文献_第3页

A Novel System for Potential Mosquito Breeding Hotspot Intimation and Monitoring Using MLOps and Improved YoloV3 一种新的利用MLOps和改进的YoloV3的潜在蚊子繁殖热点信息和监测系统

Instrumentation Mesure Metrologie Pub Date : 2023-02-28 DOI: 10.18280/i2m.220105

Sonali Bhutad, Kailas Patil

引用次数: 0

Experimental Investigation of the Combined Fault: Mechanical and Electrical Unbalances in Induction Motors Based on Stator Currents Monitoring 基于定子电流监测的感应电机机电不平衡组合故障实验研究

Instrumentation Mesure Metrologie Pub Date : 2022-12-31 DOI: 10.18280/i2m.210601

N. Benamira, A. Dekhane, Samir Kerfali, A. Bouras, Omar Reffas

{"title":"Experimental Investigation of the Combined Fault: Mechanical and Electrical Unbalances in Induction Motors Based on Stator Currents Monitoring","authors":"N. Benamira, A. Dekhane, Samir Kerfali, A. Bouras, Omar Reffas","doi":"10.18280/i2m.210601","DOIUrl":"https://doi.org/10.18280/i2m.210601","url":null,"abstract":"Numerous studies examine the electrical and mechanical, internal and exterior problems of induction motors separately. However, this type of machines is also susceptible to several combined faults which affect it at the same time. The aim of this work is to study firstly the effects of the mass imbalance with the supply voltage unbalance faults in a combined state, and specifically its effects on the stator currents (distortion of currents waveform and augmentation of current unbalance factor (CUF)). The findings of this research were derived from experimental tests, which enabled us to produce the combined voltage and mass imbalance fault intentionally. The second purpose of this paper is to identify these irregularities. In the field of induction motor fault diagnosis, the stator current analysis techniques have shown to be quite successful and have gained widespread use. Therefore, we used the well-known method motor current signature analysis (MCSA). In addition, we have strengthened the research by using spectral analysis on the Park's components (Id and Iq). The obtained results demonstrate the efficacy of analyzing stator currents and Park components spectra (particularly the direct Park component (Id)) for detecting this kind of electrical and mechanical combined defects","PeriodicalId":38637,"journal":{"name":"Instrumentation Mesure Metrologie","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44537551","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

A New Design for Enhancing Highly Sensitive Interferometer Biosensor Using a Silicon Rib Waveguide 用硅肋波导增强高灵敏度干涉仪生物传感器的新设计

Instrumentation Mesure Metrologie Pub Date : 2022-12-31 DOI: 10.18280/i2m.210604

Salah Khennouf, M. Bouras

引用次数: 0

Thinning Algorithms Analysis Minutiae Extraction with Terminations and Bifurcation Extraction from the Single-Pixeled Thinned Biometric Image 薄化算法分析单像素薄化生物特征图像的终止和分岔特征提取

Instrumentation Mesure Metrologie Pub Date : 2022-12-31 DOI: 10.18280/i2m.210603

Bhargavi Devi Pottluarai, Sharmila Kasinathan

引用次数: 0

A Multi Task Allocation Based Time Optimization Framework Using Social Networks in Mobile Crowd Sensing 基于社交网络的移动人群感知多任务分配时间优化框架

Instrumentation Mesure Metrologie Pub Date : 2022-12-31 DOI: 10.18280/i2m.210605

Sasireka Veerapathiran, S. Ramachandran

{"title":"A Multi Task Allocation Based Time Optimization Framework Using Social Networks in Mobile Crowd Sensing","authors":"Sasireka Veerapathiran, S. Ramachandran","doi":"10.18280/i2m.210605","DOIUrl":"https://doi.org/10.18280/i2m.210605","url":null,"abstract":"The quality of data and its sensing cost is the important concern for task allocation in crowd sensing. The sensing capabilities of a device to send the collection of sensor data to a cloud requires crowd sensing in order to receive reliable data. Crowd sensing is used in many areas such as traffic monitoring, smart cities, health care, transportations, environmental monitoring and many more. Most of existing works are only based on assumptions in task scheduling about the number of candidate users and are mainly performed optimization of single task allocation. If the candidate users are few, then the completion of task with in the schedule can be difficult for many sensor applications. In this work, we proposed a social network-based task allocation scheme for the optimization of multi task allocation. The main idea of the proposed work is to maximize the task completion within the allocated schedule. It is evident that the task scheduling algorithms are NP-hard and we introduced a decreasing threshold task allocation (DTT) and fast greedy selections (FGS) algorithms along with Crow COOT Foraging Optimization (CCFO) algorithm to allocate the tasks parallelly with maximum efficiency. The proposed algorithms such as C-DTT (CCFO-DTT) and C-FGS (CCFO-FGS_ are used for the efficient allocation of tasks. The combination of these algorithms can be helpful in selecting the candidate users who will perform the completion of maximum tasks. Due to the selection of proper users in each round, the time consumption of the tasks to be completed is greatly reduced. The experimental results also indicates that the proposed work performs well in the optimization of multi task allocation than the other state of the art models.","PeriodicalId":38637,"journal":{"name":"Instrumentation Mesure Metrologie","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42070674","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: 1

A Machine Learning Approach for Stochastic Pattern Analysis for the Measurement of Time-Series Datasets 一种用于时间序列数据集测量的随机模式分析的机器学习方法

Instrumentation Mesure Metrologie Pub Date : 2022-12-15 DOI: 10.18280/i2m.210505

G. Najeeb Ahmed, Somasundaram Kamalakannan, P. Kavitha

{"title":"A Machine Learning Approach for Stochastic Pattern Analysis for the Measurement of Time-Series Datasets","authors":"G. Najeeb Ahmed, Somasundaram Kamalakannan, P. Kavitha","doi":"10.18280/i2m.210505","DOIUrl":"https://doi.org/10.18280/i2m.210505","url":null,"abstract":"Time series data analysis is used in many domains of applications to perform efficient prediction, anomaly detection and forecasting using various techniques. Recently, there is a surge in demand for comprehensive data mining techniques that can be applied on agricultural prediction. Data mining techniques can be used effectively for predicting the agricultural growth using stochastic model sensing concept which is used to perform better analysis for predicting the dataset. The proposed work introduces a stochastic model that can be applied for agricultural data to predict the growth of any crops using primary time series datasets The framework has assisted in taking correct decisions to classify the dataset based on the threshold value of micro and macro nutrient obtained from National Food Security Mission (NFSM). This paper focus on analyzing the stochastic pattern that assist the proportion of micronutrient elements and also predicts the feature that affect the growth of agriculture by increase or decrease the level of micronutrient elements. Thus, the Expected Growth of Agriculture (EGA) has increased or decreased based on the strength of soil nutrients. Moreover, it will recommend chemical fertilizers and nutrients range to improvise the agriculture growth for each crop. The processed soil sample dataset based on the threshold value of micro nutrient level is obtained from National Food Security Mission (NFSM). There are several numerical illustrations that are performed for micronutrient data prediction as well as analyze the increase or decrease of growth level in agriculture based on micronutrient levels like Fe, Mn, Zn and Cu using Stochastic Weibull Distribution (SWD) model.","PeriodicalId":38637,"journal":{"name":"Instrumentation Mesure Metrologie","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44729934","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: 1

Monitoring and Automation of Temperature Control Based on Mobile Application Technology (MAT) for Precision Oyster Mushroom Cultivation 基于移动应用技术（MAT）的蚝菇精密栽培温度监控与自动化

Instrumentation Mesure Metrologie Pub Date : 2022-12-15 DOI: 10.18280/i2m.210504

A. Yudhana, S. A. Akbar, I. Mufandi, Bobi Larombia

{"title":"Monitoring and Automation of Temperature Control Based on Mobile Application Technology (MAT) for Precision Oyster Mushroom Cultivation","authors":"A. Yudhana, S. A. Akbar, I. Mufandi, Bobi Larombia","doi":"10.18280/i2m.210504","DOIUrl":"https://doi.org/10.18280/i2m.210504","url":null,"abstract":"Oyster mushrooms can usually be found in the forest and grow on rotten logs with temperatures ranging from 21-28℃. The farmers are used the feeling method to measure the range of air temperature in the oyster mushroom cultivation area so that faced the difficulty for controlling the temperature conventionally. This research describes an intelligent device to regulate the air temperature automatically using Peltier TEC-1 12706, which was assisted with ice cubes and aluminum water blocks as cool temperatures automatically online and in real-time. The online system uses the Wi-Fi module type ESP8266-01, and the reading result converts to the digital number as the mobile application shown on the LCD display. Data storage on things speak as a cloud. This research indicates that the level of accuracy of this system compared with similar measuring devices on the market has a standard deviation of error of 0.21 from the total of 30 data in a 1-hour trial. This research was compared with the conventional product (HTC-2) for knowing the sensor accuracy. The experiment result indicated that the sensor accuracy was 93.7%. SHT31 sensor as temperature sensor proved capable to monitor and automatic oyster mushrooms temperature.","PeriodicalId":38637,"journal":{"name":"Instrumentation Mesure Metrologie","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44506569","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

Markov Renewal Prediction and Radial Kronecker Neural Network Based Handover for Seamless Mobility 基于Markov更新预测和径向Kronecker神经网络的无缝移动切换

Instrumentation Mesure Metrologie Pub Date : 2022-12-15 DOI: 10.18280/i2m.210503

Sridhar Dhandapani, C. Chelliah

{"title":"Markov Renewal Prediction and Radial Kronecker Neural Network Based Handover for Seamless Mobility","authors":"Sridhar Dhandapani, C. Chelliah","doi":"10.18280/i2m.210503","DOIUrl":"https://doi.org/10.18280/i2m.210503","url":null,"abstract":"Prevailing personal mobile network architectures make use of streamlined mobility control system, where the complete understanding is concentrated on single-end that results in scarce of dynamic mobility support when data volume is found to be large. The present-day networks necessitate seamless connections regardless of node position and connectivity that has to be accomplished between personal are network (PAN). In this work, a novel method called, Markov Renewal Prediction and Radial Kronecker Neural Network (MRP-RKNN) based optimized handover for seamless mobility in PAN is proposed. By employing a Markov Renewal Prediction model for Seamless Mobility along with the two-hop network architecture, in this paper, we propose a transition probabilities (TP) function to mitigate the persistent handover issue in conventional wireless communication systems. The proposed Markov Renewal Prediction model for Seamless Mobility significantly reduces handover execution time and seamless mobility handover accuracy with efficient transition probabilities. In PANs, the unavoidable deployment of low power sink nodes permits the mobile nodes with many issues in terms of Quality of Service (QoS) due to complication of recurrent handovers due to high mobility. Addressing this issue of handover optimization in the deployment of PAN, this work proposes a model called to optimize the handovers in a cost-efficient manner. In this work, Radial Kronecker Delta Neural Network is utilized for handling frequent handovers based on received signal strength and cost metrics. Here, the resultant desired output is obtained using the Radial Kronecker function being a function of two variables with which optimized handover is performed. Simulation results presented in the study exhibits the performance and prediction rate of the proposed method in terms of handover execution time, seamless mobility prediction accuracy, mobility handover cost and packet loss rate.","PeriodicalId":38637,"journal":{"name":"Instrumentation Mesure Metrologie","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43337194","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

Study of Performance of Incorporating Pneumatic Suspension System with the Hydraulic Actuator for Quarter Car and Using Controllers with Genetic Algorithm 四轮车气动悬架系统和液压执行器的结合及遗传算法控制器的性能研究

Instrumentation Mesure Metrologie Pub Date : 2022-08-31 DOI: 10.18280/i2m.210405

M. Mahmood, A. Nassar, H. M. Mohammad

{"title":"Study of Performance of Incorporating Pneumatic Suspension System with the Hydraulic Actuator for Quarter Car and Using Controllers with Genetic Algorithm","authors":"M. Mahmood, A. Nassar, H. M. Mohammad","doi":"10.18280/i2m.210405","DOIUrl":"https://doi.org/10.18280/i2m.210405","url":null,"abstract":"Suspension systems are one of the main parts of the vehicle that provide the passenger comfort and stability, while it is difficult for conventional passive suspension systems to cope with the vibrations to which the vehicle is exposed. Air suspension systems have a dynamic character that allows good handling of the road and a comfortable ride, but in a certain area for this reason the stiffness of the air suspension must be flexibly changed. The air suspension has been developed with the inclusion of a hydraulic actuator to create an additional force that withstands the incoming vibration from the road. The pneumatic suspension system parameters, such as vertical acceleration, road holding, and vertical displacement, are improved continuously based on the controllers that have been used for nonlinear pneumatic suspension systems, fractional order proportional integral derivative (FOPID), and fuzzy logic control (FLC). The genetic algorithm is utilized to tune the controller's parameters to the nonlinear active pneumatic system's 3-DOF. A model's simulation outcomes with controllers improved the suspension performance. The proposed active pneumatic system and pneumatic suspension systems are compared when a vehicle is traveling at a speed of 72 km/h on an ISO level B road to test the ability and efficiency of the system to suppress body vibration to enhance safety and provide a comfortable ride on rough roads. According to simulation results, the improved suspension substantially lowers vertical vibrations and enhances road adaptability.","PeriodicalId":38637,"journal":{"name":"Instrumentation Mesure Metrologie","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46296704","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

CFD Analysis of Heat Transfer Phenomena in Arc Plasma Reactor 电弧等离子体反应器传热现象的CFD分析

Instrumentation Mesure Metrologie Pub Date : 2022-08-31 DOI: 10.18280/i2m.210401

Djamel Eddine Gourari, Benameur Benameur, G. Lorenzini, Y. Menni

引用次数: 0