Instrumentation Mesure Metrologie最新文献_第4页

Experimental Analysis for the Performance of a Geothermal Heat Exchanger Made of Environmentally Friendly Materials 环保材料地热换热器性能的实验分析

Instrumentation Mesure Metrologie Pub Date : 2022-12-15 DOI: 10.18280/i2m.210502

F. M. K. Al-Fatlwe, Balasem Abdulameer Jabbar, Nehad Abid-Allah Hamza, Ali Thajeel Ramadhan

{"title":"Experimental Analysis for the Performance of a Geothermal Heat Exchanger Made of Environmentally Friendly Materials","authors":"F. M. K. Al-Fatlwe, Balasem Abdulameer Jabbar, Nehad Abid-Allah Hamza, Ali Thajeel Ramadhan","doi":"10.18280/i2m.210502","DOIUrl":"https://doi.org/10.18280/i2m.210502","url":null,"abstract":"Geothermal heat exchanger (GHE) technology is commonly used in residential and small non-residential buildings, and examples of innovative compact GHE designs are provided. The essential physical properties and processes involved in shallow GHE behavior are described, some of which may be more complex than those required for other types of GHE. This paper discusses the use of a geothermal heat exchanger to extract underground energy for heating and cooling systems and focuses specifically on designing a ground heat exchanger made of environmentally friendly materials suitable for working in the zone of Babylon Governorate in Iraq. At different burial depths, three systems of horizontal heat exchangers were designed. The heat exchanger was designed with pipes made of peroxide cross-linked polyethylene (PEX), in which the pipes were buried to a depth of 2 m under the soil. Also, another system was designed where the pipes are made of multi-layer composite pipe (Mlcp) at a burial depth of 2.5 m and another layer at a depth of 3 m. In this research, several tests were carried out to reach the conditions in which the ground heat exchanger is at its best performance. The effect of buried depth on heat removed from the space has been studied. This test was studying at a flow rate equal to (4 lpm) and the inlet temperature of water equal to approximately (50℃). The effect of changing the flow rates on heat removed from the ground heat transfer system is being studied. Buried depth of PEX pipes is 2m, inlet water temperature (50℃) is chosen as a case study to analyze this effect. The first experimental has shown the heat removed is equal to 2200.942 watts at 8.30 am when buried at a depth of 2m, while it reaches 3679.474 watts at a depth of 3 m. The results show the maximum coefficient of performance (COP) at (3 lpm) is 12.897 and it becomes 5.99 at 4 LPM. Also, the results show that the COP of PEX pipes can be higher than that of its counterparts when pipes are made from MLCp.","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":"46920529","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 Novel Approach to Diagnose the Animal Health Continuous Monitoring Using IoT Based Sensory Data 基于物联网的传感数据诊断动物健康持续监测的新方法

Instrumentation Mesure Metrologie Pub Date : 2022-12-15 DOI: 10.18280/i2m.210501

Durairaj Kandepan, D. Venkatesan

引用次数: 0

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

Experimental and Numerical Study of Different Methods' Effects on Lubricant Flow on Temperatures and Strains of Turning Cutting Tool (HSS) 不同方法对润滑油流动对车削刀具温度和应变影响的实验与数值研究

Instrumentation Mesure Metrologie Pub Date : 2022-08-31 DOI: 10.18280/i2m.210402

M. A. Hussein, A. A. Abbas, Nadya Husain Muslim

{"title":"Experimental and Numerical Study of Different Methods' Effects on Lubricant Flow on Temperatures and Strains of Turning Cutting Tool (HSS)","authors":"M. A. Hussein, A. A. Abbas, Nadya Husain Muslim","doi":"10.18280/i2m.210402","DOIUrl":"https://doi.org/10.18280/i2m.210402","url":null,"abstract":"The aim of the present study is to facilitate the machining process of cast steel (HSS) through cooling and lubricating by compressed air with liquid in three directions and consisting of (oil, soap, carbolic acid, and sculpture) and was compared with the lubricant process in one direction and at different cutting speeds (2.08, 6.25, 10.4, and 14.16 m/sec). The Auto Desk Inventor programme is used to simulate the cutting process by applying cutting forces to the tool's shear surface. The interface equipment is used to measure cutting tool strains by the response of a strain gauge and the Arduino equipment to measure cutting tool temperature. In addition, the tool strain equations were used assuming that the cutting tool is fixed between the two walls (fixing region and surface of the workpiece) to get the best results at the same speed. The results refer to the lubricant in three directions, which is better than one direction due to decreasing cutting tool strain, reaction of cutting force on the shear surface of the cutting tool, and cutting tool temperature. The experimental results show that a cutting speed of 10.4 m/sec is the best for the cutting process. Furthermore, the numerical results are converged with practical results in a small correction factor (0.428), preventing the tool from vanishing.","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":"43752024","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

Deposition-Pellet Preparation Technique for Powder Samples Measurement Using Laser-Induced Breakdown Spectroscopy 激光诱导击穿光谱测量粉末样品的沉积-球团制备技术

Instrumentation Mesure Metrologie Pub Date : 2022-08-31 DOI: 10.18280/i2m.210403

H. Suyanto, A. Nasution, N. L. Trisnawati, I. Suprihatin

{"title":"Deposition-Pellet Preparation Technique for Powder Samples Measurement Using Laser-Induced Breakdown Spectroscopy","authors":"H. Suyanto, A. Nasution, N. L. Trisnawati, I. Suprihatin","doi":"10.18280/i2m.210403","DOIUrl":"https://doi.org/10.18280/i2m.210403","url":null,"abstract":"Laser-Induced Breakdown Spectroscopy (LIBS) is a spectroscopy-based measurement technique that is capable of rapid and accurate qualitative, as well as quantitative, analysis of elemental ingredients either in solid (either for organic or inorganic compounds), liquid, or gaseous samples. Unfortunately, this is not the case for powdered samples, where the focused laser beam will disperse the powder. This can be overcome by making the powder into pellets. But it has an inherent drawback, i.e., the minimum amount of powder is about 0.2 g to obtain a good detectable signal. To cope with this unfavorable condition, especially for the amount of powder less than 0.1 mg, we proposed a sub-target deposition method to make the pellets in this reported work. Using this method, the analyzed powder was deposited into an indented hole on a pellet substrate of KBr with the following optimum conditions, i.e., pellet's pressing pressure of 400 kPa, laser energy of 120 mJ, and a sample's heating temperature of 70℃. Microanalyses of standard powdered samples of PbO, CuO, and ZnO have been carried out with estimated detection limits of 4.7 μg, 4.6 μg, and 3.9 μg, respectively. So, this method can be used to analyze small amounts (in the microgram range) of powdered samples.","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":"46840176","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

Outlier Detection of Functional Data Using Reproducing Kernel Hilbert Space 利用再现核希尔伯特空间的函数数据离群点检测

Instrumentation Mesure Metrologie Pub Date : 2022-08-31 DOI: 10.18280/i2m.210404

Manoharan Govindaraj, S. Kaliappan, Ganesh Swaminathan

{"title":"Outlier Detection of Functional Data Using Reproducing Kernel Hilbert Space","authors":"Manoharan Govindaraj, S. Kaliappan, Ganesh Swaminathan","doi":"10.18280/i2m.210404","DOIUrl":"https://doi.org/10.18280/i2m.210404","url":null,"abstract":"The problem of finding the pattern that deviates from other observation is termed as outlier. The detection of outlier is getting importance in research area nowadays due to the reason that the technique has been used in various mission critical applications such as military, health care, fault recovery, and many. The analysis of functional data and its depth function plays a crucial role in statistical model for detecting outlier. The depth values alone not enough for finding outliers, since all the low depth values not be an outlier. The main problem of using classical model is that it cannot cop up with the high dimensionality of the data This paper proposed a novel technique based on Reproducing Kernel Hilbert Space curve (RKHS) for detecting outliers in functional data. The proposed RKHS model is based on a special Hilbert space curve associated with a kernel so that it reproduces each function in the space to enhance the performance of data depth function. The proposed method uses distance weighted discrimination classification that avoids overfitting the model and provides better generalizability in high dimensions. The kernel depths perform better performances for detection of outlier in a number of artificial and real data sets.","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":"48041048","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