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Keyword: ABSDependence of the Knowledge Structure of the Company Employees on a Set of the Competencies
The article substantiates the relevance of conducting research on the structural characteristics of a company’s employee knowledge, which is the result of his mental activity and his practical experience. The conditions under which information becomes a source of employee knowledge are determined. An abstract analysis of the process of transforming knowledge into an intellectual product…
Read MoreSurvey of Agent-Based Simulations for Modelling COVID-19 Pandemic
On the 11th of March 2020, the World Health Organization (WHO) declared COVID-19 as a pandemic. Part of controlling measures of the pandemic is to understand the disease’s trajectories. There are several possible interventions that can prevent and control its spread. Determining an optimal strategy is critical for policymakers to understand the impact of different…
Read MoreForecasting Gold Price in Rupiah using Multivariate Analysis with LSTM and GRU Neural Networks
Forecasting the gold price movement’s volatility has essential applications in areas such as risk management, options pricing, and asset allocation. The multivariate model is expected to generate more accurate forecasts than univariate models in time series data like gold prices. Multivariate analysis is based on observation and analysis of more than one statistical variable at…
Read MoreSuper Resolution Based Underwater Image Enhancement by Illumination Adjustment and Color Correction with Fusion Technique
In underwater photographs are look like low-quality images, the main reason is behind that due to attenuation of the propagated light, absorption and scattering effect. The absorption significantly reduces the light energy, while the dispersion causes changes in the light propagation path. They result in foggy appearance and degradation of contrast, causing misty distant objects.…
Read MoreIron-doped Nickel Oxide Nanoparticles Synthesis and Analyzing Different Properties
This is a report describing the impact of calcination on the morphological and optical properties of nanoparticles Iron doped-nickel oxide. By synthetic precipitation, the technique makes use of it. Three samples have been calcined in different temperatures and were characterized by X-ray diffraction (XRD), Fourier transforms infrared spectroscopy (FTIR), UV spectroscopy, and scanning electron microscopy…
Read MoreExposure to Optical Radiation and Electromagnetic Fields at the Workplace: Criteria for Occupational Health Surveillance According to Current European Legislation
A very large number of workers is occupationally exposed to Optical Radiation (OR) worldwide, while indeed nowadays an exposure to Electromagnetic fields (EMF) can occur in almost all workplaces. OR origin can be natural, including the most relevant source, i.e. the sun, or artificial, that can be further classified in incoherent and coherent, i.e. the…
Read MoreMultiple Machine Learning Algorithms Comparison for Modulation Type Classification Based on Instantaneous Values of the Time Domain Signal and Time Series Statistics Derived from Wavelet Transform
Modulation type classification is a part of waveform estimation required to employ spectrum sharing scenarios like dynamic spectrum access that allow more efficient spectrum utilization. In this work multiple classification features, feature extraction, and classification algorithms for modulation type classification have been studied and compared in terms of classification speed and accuracy to suggest the…
Read MoreStochastic Behaviour Analysis of Adaptive Averaging Step-size Sign Normalised Hammerstein Spline Adaptive Filtering
We introduce a sign algorithm based on the normalised least mean square with Hammerstein adaptive filtering using adaptive averaging step-size mechanism, which is derived by the minimised absolute a posteriori squared error. To improve the performance by reducing computational complexity, we suggest an adaptive averaging using energy of errors to update step-size variant. The analysis…
Read MoreEnterprise Resource Planning Readiness Assessment for Determining the Maturity Level of ERP Implementation in the Industry in Indonesia
The textile industry is one of the prioritized industries, because it contributes to the country’s foreign exchange, absorbs a large number of workers, and fulfills the need for national clothing. To increase work efficiency and productivity, the textile industry must use ERP. However, ERP implementation still has a relatively high failure rate. ERP readiness assessment…
Read MoreTrend Analysis of NO\(_X\) and SO\(_2\) Emissions in Indonesia from the Period of 1990 -2015 using Data Analysis Tool
NOX and SO2 gas pollution have a direct impact on health problems and environmental damage. Therefore, to map the emission patterns and predict the resulting impacts, complete data and information on emissions of the two pollutants are needed. In Indonesia, data on NOX and SO2 emissions that are recorded over a long period of time…
Read MoreTouristic’s Destination Brand Image: Proposition of a Measurement Scale for Rabat City (Morocco)
The objective of this article is to highlight the existing relationship between the tourist’s destination brand image of the city of Rabat (Morocco) and its choice by foreign tourists to be visited once again. We suggest a reliable measurement scale able to measure the dimensions and associations of the brand image most memorized by tourists,…
Read MoreEffect of Starch Oxidation Degree on the Properties of Hydrogels from Dialdehyde Starch and Polyvinyl Alcohol
Starches have been applied as biomaterials due to their wide availability and biocompatibility. These have also been modified by oxidation, resulting in dialdehyde starch (DAS), to improve their stability in water and mechanical properties. Cassava starch with a low oxidation degree has been introduced into hydrogels based on polyvinyl alcohol (PVA) to improve their properties.…
Read MoreEvolution of Teaching Approaches for Science, Engineering and Technology within an Online Environment: A Review
The emergence of the COVID-19 pandemic earlier this year destabilised the operations in the education sector, particularly in institutions of higher learning. Most of these institutions are now expected to teach online, assess their students using non-venue examinations and offer remote laboratory practical and experiments. However, many of these institutions were not prepared for such…
Read MoreLow Power Fast Settling Switched Capacitor PTAT Current Reference Circuit for Low Frequency Applications
This paper presents a low voltage, low power, fast settling switched capacitor based Proportional to Absolute Temperature (PTAT) current reference circuit. Unlike in a conventional resistor based PTAT current source, the proposed circuit saves a significant amount of silicon area on chip and hence the circuit becomes less susceptible to process variations. It creates a…
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 MoreQualitative Properties of a Cell Proliferating Model with Multi-phase Transition and Age Structure
In this paper we study a cell division cycle modeled by a system of partial differential equations with an age structure. This model translates the many regulatory mechanisms within the cell cycle where it introduces the notion of phases. The individual cell can be either in I phases where the transition between theses phases are…
Read MoreLaser Deprocessing Technique and its Application to Physical Failure Analysis
This paper is an extension of work originally presented in IPFA 2019. In the original work, a new memory bit-counting method in physical failure analysis (PFA) using laser deprocessing technique (LDT) is introduced. In the present paper, LDT will be further exploited and the methodology applied to PFA will be fully discussed. Compared to the…
Read MoreEffect of Cover Number on Distilled Water Production of Distillers with a Novel Water Feeding
An experimental study on the effect of a cover number of solar distillers with a continuous seawater feeding system was conducted. The seawater feeding in this study was a continuous feeding, which was not utilized yet in the previous studies. Three identical distillers i.e. single caver distiller, double cover distiller, and triple cover distiller were…
Read MoreA Study on Methodology of Improvement the Hydraulic System for Cometto Self-Propelled Trailer System
In recent years, the transport of large packages with super weight from 100 tons to several thousand tons is no longer a difficult problem due to the continuous development of technology. Experienced transport companies, specializing in transporting heavy goods in Vietnam, have invested in very modern equipment and machinery such as self-propelled trailers of Cometto…
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 MoreJohnson Noise and Optical Characteristics of Polymer Nanocomposites Based on Colloidal Quantum Dots and In-Situ Nanoparticles Formation
Electrical and optical properties of polymer nanocomposite thin films have been analyzed to study their reliability and competency as a component for optoelectronic devices such as LED and solar cells. Polymer nanocomposite encounters various challenges, such as the dispersion of nanoparticles in the matrix that hinders their efficiency for potential devices. In this paper, two…
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 MoreAn Empirical Comparison of Different Two-Factor Models in the Context of Portfolio Optimisation
The crisis linked to the COVID-19 and the uncertainty it generates in the unprecedented health, societal, economic and financial fields have had a strong impact on the stock markets. Indeed, in such a climate of very high uncertainty, it is to be expected that the excessive stock market price movements will continue, with both declines…
Read MoreInterpretation of Machine Learning Models for Medical Diagnosis
Machine learning has been dramatically advanced over several decades, from theory context to a general business and technology implementation. Especially in healthcare research, it is obvious to perceive the scrutinizing implementation of machine learning to warranty the rewarded benefits in early disease detection and service recommendation. Many practitioners and researchers have eventually recognized no absolute…
Read MoreArduino-Compatible Modular Kit Design and Implementation for Programming Education
To cultivate creative talent, ways to learn creative problem-solving skills is needed, and one of them is programming. Arduino is a well-known tool used for programming education and the usefulness has been demonstrated in various case studies. However, there are several problems in existing Arduino-compatible kits as education tools, including the need for understanding hardware…
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