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Keyword: MeasurementEstimating LAI of Rice Using NDVI Derived from MODIS Surface Reflectance
The measurement of Leaf Area Index is of fundamental importance in agriculture and ecological research because it reflects plant growth. This study aims to estimate LAI from, NDVI derived from standard eight days composite MODIS surface reflectance, acquired during the rice growing period. A two-stage model was developed to relate the LAI of rice to…
Read MoreAutomatic License Plate Detection and Recognition for Jordanian Vehicles
Nowadays, automatic number plate recognition (ANPR) is very important especially in the era of smart cities and intelligent transport systems. Fully automated number plate detection and recognition system helps in reducing time, error, and cost for tracking of vehicles and for recording traffic violations. The main goal of this paper is to design a low…
Read MoreImproved System Based on ANFIS for Determining the Degree of Polymerization
Transformer health assessment techniques, based on applicable standards, such as the dissolved gas analysis (DGA), through laboratory testing or online monitoring are used to analyze the symptoms of a failure which develops in transformers from an early stage. The DGA from a sample of dielectric liquid taken from the main tank generates information on the…
Read MoreStrategic Plan for the Achievement of the Competitiveness of Small Companies with Respect to Large Ones
The main objective of this research is to analyze the impact that the implementation of a strategic plan would have on achieving the competitiveness of the micro, small and medium enterprises (MSMEs) that are dedicated to bottling, marketing and distributing water in the city of Los Mochis. It is intended to offer a tool to…
Read MoreOntology-based Data Management Tool for Studying Radon Concentration
Interpreting data for solving information needs demands an understanding of the semantics of row data. In this paper, an ontology-driven management of data of the presence of radon gas in soil is presented. The main contribution of this research relies on the formal definition of the semantic of the presence of radon in the dimensions…
Read MoreAn Adaptive Nonlinear Sensorless Controller of Doubly Fed Induction Generator Driven By Wind Turbine
In this study, an adaptive nonlinear sensorless controller for doubly fed induction generator (DFIG) driven by a wind turbine is proposed. The aim is to maximize the extracted power by tracking the wind turbine optimal torque-speed characteristic without the need for rotor speed measurement. This controller ensures a satisfactory tracking of both stator flux and…
Read MoreVietnamese Text Classification with TextRank and Jaccard Similarity Coefficient
Text classification is considered one of the most fundamental and essential problems that deal with automatically classifying textual resources into pre-defined categories. Numerous algorithms, datasets, and evaluation measurements have been proposed to address the task. Within the era of information redundancy, it is challenging and time-consuming to engineering a sizable amount of data in multi-languages…
Read MoreTrace-Driven Simulation of LoRaWAN Air Channel Propagation in an Urban Scenario
Long-range, Low-Power Wide Area Network (LoRaWAN) is a very scalable solution for the Internet of Things (IoT). Due to the air channel environment’s complexity, connectivity is a crucial parameter for successfully planning and deploying the IoT networks. Measurements and simulations have been used to evaluate LoRaWAN propagation models in the Urban environment, but it is…
Read MoreThe Effect of E-Service Quality on Customer Satisfaction and Loyalty (Case Study at E-Marketplace XYZ in Indonesia)
Online transactions make it easy for people to get products or sell the products through online applications. The success and failure of online sales depends on how satisfied and loyal the customer is to the service of the product or business which can certainly influence and increase competition between the online sales industry. Based on…
Read MoreExamination of a Skill Sampling Method of an Athlete Using the Athlete’s Movement and Eye Movement for the Development of an AI Coach
From amateur players who enjoy sports throughout their lives to top athletes who participate in international competitions, interest in improving sports skills is growing. Coaches and their coaching are indispensable for improving sports skills, but it is difficult for many athletes, especially amateur athletes, to secure coaching. However, we thought that anyone could easily receive…
Read MorePosture Recognition Method for Caregivers during Postural Change of a Patient on a Bed using Wearable Sensors
Caregivers experience lower back pain due to their awkward postures while handling patients. Therefore, a monitoring system to supervise caregivers’ postures using wearable sensors is being developed. This study proposed a postural recognition method for caregivers during postural change while handling a patient on a bed. The proposed method recognizes foot positions and arm movements…
Read MoreVLSI Architecture for OMP to Reconstruct Compressive Sensing Image
A real-time embedded system requires plenty of measurements to fallow the Nyquist criteria. The hardware built for such a large number of measurements, is facing the challenges like storage and transmission rate. Practically it is very much complex to build such costly hardware. Compressive Sensing (CS) will be a future alternate technique for the Nyquist…
Read MoreDevelopment of a Wireless Displacement Estimation System Using IMU-based Device
Estimation of displacement is an information required for daily operation monitoring systems to monitor human health or to locate users in buildings, basements, tunnels and similar places which under the same conditions that the global positioning signal (GPS) level is from very weak to completely absent; and is the measurement technique by using multimetric data…
Read MoreModeling and Implementation of Quadcopter Autonomous Flight Based on Alternative Methods to Determine Propeller Parameters
To properly simulate and implement a quadcopter flight control for intended load and flight conditions, the quadcopter model must have parameters on various relationships including propeller thrust-torque, thrust-PWM, and thrust–angular speed to a certain level of accuracy. Thrust-torque modeling requires an expensive reaction torque measurement sensor. In the absence of sophisticated equipment, the study comes…
Read MoreAssessing Heutagogical Elements in Learning of Engineering Education: Instrument Validation
Practically level of design element (i.e., explore, sharing, connect) is an essential of heutagogical approach. The self-determined learning process can be at ease with the implementation of these elements, and the critical step is reliability to measure teaching and learning feedback. Although various instruments were proposed in the literature to assess heutagogy elements, the specific…
Read MoreA Method for Detecting Human Presence and Movement Using Impulse Radar
Using non-invasive and non-contact sensors to measure a person’s presence or movement helps improve the quality of life for both healthy people and patients. In this paper, a method of measuring the presence and motion of a person is proposed by utilizing UWB Impulse Radar, which is low power consumption and safe to radiate to…
Read MoreDetermination of ERP Readiness Assessment using Agile Parameters: A Case Study
At present, in the era of digitization the organizations need Enterprise Resource Planning (ERP) systems to have the ability adapt to changes with rapid response in order to increase the competitive advantage. The fact, many companies have failed to implement ERP which is proven to be not go live on time, so that the implementation…
Read MoreClustering of Mindset towards Self-Regulated Learning of Undergraduate Students at the University of Phayao
The effects of Covid-19 severely affected the Thai higher education model. Therefore, there are three significant objectives in this research: (1) to cluster the mindsets and attitudes toward self-regulated learning styles of undergraduate students at the University of Phayao. (2) to construct a predictive model for recommending an appropriate student learning clusters. (3) to evaluate…
Read MoreNeural Network-Based Fault Diagnosis of Joints in High Voltage Electrical Lines
In this paper a classification system based on a complex-valued neural network is used to evaluate the health state of joints in high voltage overhead transmission lines. The aim of this method is to prevent breakages on the joints through the frequency response measurements obtained at the initial point of the network. The specific advantage…
Read MoreA Survey on 3D Hand Skeleton and Pose Estimation by Convolutional Neural Network
Restoring, estimating the fully 3D hand skeleton and pose from the image data of the captured sensors/cameras applied in many applications of computer vision and robotics: human-computer interaction; gesture recognition, interactive games, Computer-Aided Design (CAD), sign languages, action recognition, etc. These are applications that flourish in Virtual Reality and Augmented Reality (VR/AR) technologies. Previous survey…
Read MoreMonte Carlo Estimation of Dose in Heterogeneous Phantom Around 6MV Medical Linear Accelerator
In this work, we completed a validation of the Varian Clinac IX equipped with the High Definition Multi-Leaf Collimator (HD 120 MLC) instead of the removable jaws, using GATE Monte Carlo Platform version 8.2. We validated the multileaf collimator (MLC) geometry by simulating two dosimetric functions (Percentage Depth Dose (PDD) and Dose Profile (DP)), for…
Read MoreDegradation Process in Pipeline and Remaining Useful Lifetime Estimation Based on Extended Kalman Filtering
Degradation measurements are often treated and analyzed for improvement the reliability of system. Our objective in this paper is to study a class of non linear systems, whose dynamics and observations are non linear functions of the state. Obviously, we develop an Extended Kalman Filtering (EKF) algorithm for detecting the additive failures in a two…
Read MoreEvaluation of Type A Uncertainty in a Network Analyzer From 300 kHz to 8.5 GHz
Network Analyzer is equipment widely used for the execution of radio frequency application scattering parameters. Throughout absolute reading the scattering parameter measured. An absolute reading does not include error, drift, offset, linearity, resolution, coefficient of sensitivity and several other variables that will contribute to the measured measurement dispersion. Type A evaluations of measurement uncertainty clarified…
Read MoreNon Parallelism and Cayley-Menger Determinant in Submerged Localization
This research paper portraits the technique to determine location of submerged nodes with Cayley-Menger determinant and associated problems with non-parallel states. Cayley-Menger determinant is considered to be the usual means to determine the coordinates of the nodes with a single node where the plane of beacon i.e. beacon’s surfing plane and the plane created by…
Read MoreExperimental Studies of the Silicon Photomultiplier Readout Electronics Based on the Array Chip МН2ХА030
The experimental findings of the main units of readout electronics of silicon photomultipliers (SiPMs) based on array chip (AC) МН2ХА030: a charge-sensitive amplifier (CSA) with an adjustable conversion factor and a base line restorer (BLR) circuit and two types of voltage comparators are considered. The electrical circuits of the units, the measurement results of static…
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