Showing papers in "Measurement in 2018"

TL;DR: In this article, the tensile bond strength of 3D printed geopolymer mortar with respect to printing time gap between layers, nozzle speed and nozzle standoff stance was analyzed and shown that the bond strength is a function of state of interface material between two nearby layers which can be influenced by material strength development rate and 3D printing parameters.

TL;DR: In this article, an early fault diagnostic technique based on acoustic signals was used for a single-phase induction motor, which can be also used for other types of rotating electric motors.

TL;DR: The proposed calibration method can be applied to other existing experience-based food security scales that use similar items, thus affording the possibility to use data collected with those instruments to produce internationally comparable measures of the prevalence of food insecurity.

TL;DR: A comprehensive literature review of key features and applications of the IoT paradigm to support sustainable development of smart cities is presented and an emphasis is placed on concomitance of the Internet of Things solutions with other enabling technologies such as cloud computing, robotics, micro-electromechanical systems, wireless communications, and radio-frequency identification.

TL;DR: Analysis based on Monte Carlo statistical method shows that the success of image segmentation depends on object-background intensity difference, object size and noise measurement, however is unaffected by location of the object on that image.

TL;DR: In this paper, Fourier transform infrared spectroscopy (FTIR) has been widely used as a fast and accurate tool for detecting and analyzing organic materials for several decades since it was initially introduced to study the asphalt material.

TL;DR: In this paper, a new application of optical frequency domain reflectometry (OFDR) technique is introduced to monitor both corrosion and leakage, and simulation tests are conducted to verify this method, where several optical fiber sensors were bonded to the pipe surface with the same interval, forming a sensor array.

TL;DR: A new data preprocessing method was proposed to obtain the training data and by reusing the data points between the adjacent samples, the fault identifying rate was significantly improved and the hyperparameter was altered by changing the unit numbers of each layer.

TL;DR: A new model based on cloud environment using Parallel Particle Swarm Optimization (PPSO) to optimize the VMs selection and a new model for chronic kidney disease (CKD) diagnosis and prediction is proposed to measure the performance of the proposed VMs model.

TL;DR: In this paper, the authors presented the study of roughness parameters (Ra, Rq, Rz), tool wear parameters (VB, VS) and material removal rate (MRR) in MQL-assisted hard turning by using coated cemented carbide tool.

TL;DR: In this article, a fault detection based on interclass correlation coefficient (ICC) method for guaranteeing safe and reliable of electric vehicles (EVs) has been proposed, which not only has advanced fault resolution by amplifying the voltage difference, but also can prolong the fault memory by setting moving windows.

TL;DR: In this article, a parametric and nonparametric description of surface topography after turning in the dry and MQCL conditions is presented, with the application of the Infinite Focus G4 microscope.

TL;DR: A method to estimate state of health (SoH) is presented through the established linear relationship between ohmic internal resistance and capacity fade and shows good results with very low computational effort.

TL;DR: REMS is capable of sensing and modifying monitoring process management via remote firmware update through the developed Analog/Digital Converter Embedded System (ADCES) as well as communicating with a personal developed cloud server profile via RPi Embedded Linux System (ELS), thus not requiring a dedicated PC.

TL;DR: The template for high-resolution mapping of a river landscape by Unmanned Aerial Vehicle (UAV) technology with the following five steps is presented: reconnaissance of the mapped site; pre-flight field work; flight mission; quality check and processing of aerial data; and operations above the processed layers and landforms (objects) mapping (extraction).

TL;DR: A comprehensive critical review of technologies used in the development of fiber optic shape sensors (FOSSs) is presented in this article, where the authors identify the major optical fiber technologies used for shape sensing and provide an account of the challenges and emerging applications of FOSSs in various industries.

TL;DR: In this paper, the vibro-acoustic features of the bearing at variable speeds are analyzed using variational mode decomposition (VMD) and empirical mode decompositions (EMD).

TL;DR: The deep learning-based recognition system is proposed for identification of different cattle based on their primary muzzle point (nose pattern) image pattern characteristics to solve major problem of missed or swapped animal and false insurance claims.

TL;DR: In this article, a variant of the convolutional neural network, named dynamic ensemble CNN, was proposed for fault diagnosis by intelligent fusion of the multi-level wavelet packet.

TL;DR: A fast and accurate classifier that simulates the diagnosis of the cardiologist to classify the ECG signals into normal and abnormal from a single lead ECG signal and better than other well-known classifiers is proposed.

TL;DR: In this article, the pore size distribution of coal bed methane reservoirs and the effects of testing pressure were investigated using two sets of NMR measurements and the results showed that the increasing pore pressure significantly changes the coal sample with developed and poor connected macro pores.

TL;DR: In this paper, the effect of material and machining parameters on cutting force, surface roughness and temperature in end milling of Magnesium (Mg) Metal Matrix Composite (MMC) using carbide tool was investigated.

TL;DR: New compound fault features, extracted from continuous and discrete wavelet transform of vibration signal are proposed and fault classification accuracy of these features is found to be better than the conventional time and frequency domain parameters.

TL;DR: This research proposes a general framework for dealing with imperfect and incomplete information through using single valued neutrosophic and rough set theories, which will enhance the quality of introduced services and decisions from smart cities to their citizens.

TL;DR: Kulluk is the ideal location for installation of PV power plant in Turkey taking into consideration both quantitative and qualitative factors which play an effective role on the electricity production.

TL;DR: In this paper, a general regression neural network (GRNN) model was developed to precisely predict and compare few significant WEDM machinability aspects like surface roughness [arithmetic mean roughness (Ra), root mean square roughness and maximum peak-to-valley height (Rz)] and micro-hardness (MH) of shape memory alloy nitinol.

TL;DR: In this article, the authors presented an experimental study on leak detection of a water distribution system subject to failure of a socket joint, where the acoustic characteristics of leak signals in the socket and spigot pipe segments were investigated.

TL;DR: A review of optical fiber bending sensors is presented in this article, where the authors mainly focus on the measurement methods of the structure bending and the existing problems of the bending measurement methods and the future prospects of different bending sensors.

TL;DR: In this article, the results of a turning of magnesium alloy using uncoated tungsten carbide cutting insert in dry and minimum quantity lubrication (MQL) cutting conditions have been presented.

TL;DR: A novel method is proposed to extract fault features from non-stationary vibration signals of gearboxes using the techniques of signal sparse decomposition and order tracking and an improved matching pursuit algorithm on segmental signal is designed to solve sparse coefficients and reconstruct steady- type fault components and impact-type fault components.