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Keyword: FIEInventory Management Practices during COVID 19 Pandemic to Maintain Liquidity Increasing Customer Service level in an Industrial Products Company in Mexico
This work presents the development and improvement obtained by implementing inventory managing practices during the COVID 19 pandemic in a Mexican company, a leader in the industrial sector to overcome the effects on the Company’s economies due to constrained market to maintain liquidity and preserve employment by increasing customer service level ensuring the availability of…
Read MoreInterface for Visualization of Wireless Propagation Multipath Clustering Outcomes
A graphical user interface (GUI) is presented to visualize the multipaths generated by COST 2100 channel model (C2CM) and the results of clustering the wireless propagation multipaths using Modified Simultaneous Clustering and Model Selection (MSCAMSMA). The usual practice of authors is to show their data and results using figures, tables, and graphs which are already…
Read MoreAn Economic Theory Perspective for the Fight Against Poverty in the Peruvian Andes
The fight against poverty in the Peruvian Andes is a complex task in which various professionals, such as engineers, economists, anthropologists, among others, participate. The uncertainty of the decisions taken today, no matter how appropriate they may seem, such as million-dollar investments in irrigation infrastructure, can result in over-production and, therefore, in economic recessions. For…
Read MoreReliability Improvement of Radial Distribution System by Reconfiguration
In a radial distribution system, component failure leads to service interruption and subsequent disconnection of a few load points. An abnormal variation in the voltage levels and high power loss gives rise to reliability issues. In this work, feeder reconfiguration is performed to improve reliability, minimize voltage deviation and power loss. A Binary Particle Swarm…
Read MoreFault-Tolerant Control of Permanent Magnet Synchronous Motor Drive under Open-Phase Fault
This paper presents an integrated solution for a fault-tolerant three-phase permanent magnet synchronous motor (PMSM) field-oriented control drive subjected to an open-phase fault (OPF) integrated with effective fault-tolerant detection methodology. The fault detection methodology is based on model predictive current control (MPCC), which is easy to apply, detect OPF in a range of microseconds, and…
Read MoreElectronic Warfare Methods Combatting UAVs
This paper describes methods of eliminating Unmanned Aerial Vehicles (UAV) non-destructively, using Electronic Warfare Methods. The aim is to introduce certain methods of UAV detection and elimination in a complex environment and terrain, e.g., in an urban and battlefield environment, that will result in finding the control device position and the UAV itself. Neural networks,…
Read MoreMethod for Improving the Quality of the Product Obtained by Abrasive Treatment with Impregnated Tools
The article describes a way to increase the efficiency of an abrasive tool by its impregnation in an aqueous solution of chromium diiodide. The device scheme for impregnating the instrument is proposed. Research results of durability of tools impregnated with chromium diiodide and structural condition of material of a surface layer of details after processing…
Read MoreComparison of Gaze Points Among Viewing Conditions (Resolution, Display Size, Viewer Position) During Video Viewing
Ultra-high resolution broadcasting such as 4K and 8K are becoming more popular for at-home use. The position of the viewer’s mean gaze point when they are looking at a larger display depends on the video clip, viewing position, and viewing distance. The International Telecommunication Union provided the document BT-2022; as the standard viewing conditions for…
Read MoreEmotion Recognition on FER-2013 Face Images Using Fine-Tuned VGG-16
Facial emotion recognition is one among many popular and challenging tasks in the field of computer vision. Numerous researches have been conducted on this task and each proposed either standalone- or ensemble-based processing technique. While many researches strive for better accuracy, this research also attempts to increase the processing efficiency of computer correctly classifying human…
Read MoreDense Deep Neural Network Architecture for Keystroke Dynamics Authentication in Mobile Phone
The ever-growing technology in mobile smartphones has enabled users to store sensitive and private information; as a result, it required the need for an improved security system. Previous approaches heavily relied on shallow machine learning algorithms that require feature extraction which is time consuming, laborious and can cause, resulting in poor authentication. In this paper,…
Read MorePre-University Students’ Learning Styles and Attitude towards Mathematics Achievements
Learning styles studies have been discussed widely in academic field. It can be considered as a factor that contributes to the achievement of the students in their learning because everyone has a unique learning style when learning. In this paper, we aimed to examine the association of learning styles and attitude towards academic achievement. By…
Read MoreA Fuzzy Controller Based SAPF for Power Quality Enhancement of Distribution System Integrated with Wind Energy Source
Wind energy is emerged rapidly as the most important and viable sustainable power source due to the mature technology and wide availability. The integration of wind energy sources and utilization of nonlinear loads having different characteristics results in several challenges in a distribution system. One of which is power quality issue .Hence, in this work,…
Read MoreVehicle Rollover Detection in Tripped and Untripped Rollovers using Recurrent Neural Networks
Comparing to other types of vehicle accidents, fatality rate of tipped rollover accidents shows significant number. Thus, tripped rollover prevention systems are important in order to keep driver safe. In other hands, different rollover indices are defined to handle the risk. The variable unknown parameters of each index, for instance, current load of the vehicle…
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 MoreReal-Time Identification and Classification of Driving Maneuvers using Smartphone
The fast-paced development of smart technologies and the prevalence of vehicles, created an urgent demands to study and improve safety issues related to driving. In order to reduce traffic accidents, driving behavior was found to be very important issues to study and investigate. Recently, the advent and widespread of smartphone platforms with advanced computing competence…
Read MoreUnderstanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM)
Technology Acceptance Model (TAM) is broadly accepted and has proved applicable in identifying consumers’ willingness to utilize information and communication technology (ICT). The theory proposes that Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) are actually determining factors of individual attitudes, while attitude is a determining factor of Behavioural Intention (BI) and Behavioural Intention…
Read MoreTechnology Adoption in Education: A Systematic Literature Review
Technology is advancing faster today than ever before with evidence of its impact in all facets of our lives. With the spread of the novel COVID-19 pandemic across the world, schools were closed as part of lockdown measures to contain the virus thereby disrupting academic curricula. Academic institutions leveraged ICTs to virtually engage students and…
Read MoreEffective Segmented Face Recognition (SFR) for IoT
Face recognition technology becoming pervasive in the fields of computer vision, image processing, and pattern recognition. However, face recognition accuracy rates will decrease if training is done on disguised images with covered objects on a face area. This paper aims to propose a state-of-the-art face recognition methodology which could be applied in Internet of Things…
Read MoreSupervised Learning Techniques for Stress Detection in Car Drivers
In this paper we propose the application of supervised learning techniques to recognize stress situations in drivers by analyzing their Skin Potential Response (SPR) and the Electrocardiogram (ECG). A sensing device is used to acquire the SPR from both hands of the drivers, and the ECG from their chest. We also consider a motion artifact…
Read MoreApproach to a Logistic Model to Reduce Costs for Delivery at Home of a Seller of Supplies in Times of Coronavirus
Logistics is a science and art that has been widely used by large commercial chains, whose main objectives focus on the distribution of products or services. This understanding has generated various logistics studies directed towards those businesses, without considering that science can also be applied to small or medium enterprises. The present study initially executes…
Read MoreC-Band FMCW Radar Design and Implementation for Breathing Rate Estimation
In this paper, a portable Frequency Modulated Continuous Wave (FMCW) radar system was designed and implemented for human movements and breathing detection. The radar operates with a frequency band ranges from 4.7 to 4.9GHz. The radar sub-systems were designed and simulated using up to date computer-aided-design tools before implementation. The Voltage Controlled Oscillators (VCO), high…
Read MoreA Circular Invariant Convolution Model-Based Mapping for Multimodal Change Detection
The large and ever-increasing variety of remote sensing sensors used in satellite imagery today explains why detecting changes between identical locations in images that are captured, at two separate times, from heterogeneous capturing systems is a major and challenging recent research problem in the field of satellite imaging for fast and accurate determination of temporal…
Read MoreResilience Assessment of System Process Through Fuzzy Logic: Case of COVID-19 Context
The present work is undertaken as part of research studies aiming to provide sociotechnical systems with a decision-making tool that supports them in assessing the resilience of their processes. The ultimate objective is to fix the identified imperfections in order to steadily gain strength and effectiveness to cope with new and existing threats and challenges.…
Read MoreSynthesis of SQL Queries from South African Local Language Narrations
English remains the language of choice for database courses and widely used for instruc- tion in nearly all South African universities, and also in many other countries. Novice programmers of native origins are mostly taught Structured Query Language (SQL) through English as the medium of instruction. Consequently, this creates a myriad of problems in understanding…
Read MoreNature Inspired and Transform Based Image Encryption Techniques: A Comparative Study
In this paper, performances of two variations of chaos based algorithms are compared. First algorithm is a self-adaptive color image encryption algorithm is proposed based on Radial Hilbert Transform and chaos. This technique uses chaotic random phase masks operated on the transformed pixels to increase the randomness in confusion and diffusion operations. Also, a random…
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