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Keyword: FFThe COVID-19 Effect in Mexican SMEs
This article presents a literature review on how the COVID-19 pandemic changed the way of managing risks in the supply chains of Mexican SMEs. Research was carried out in the most important scientific research databases. The spread of the pandemic in 2020 has affected public health and the world´s companies, including micro, small and medium…
Read MoreDevelopment of Group-Based Differentiated Learning (GBDL) Models
The ability to think and the social abilities of junior high school students is a potential ability developed through learning based on the optimization of differences in learning abilities. For this reason, appropriate learning design and implementation model is needed in realizing this, especially in one of the social group subjects. This study uses research…
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 MoreAnalysis of Green Building Effect on Micro grid Based on Potential Energy Savings and BIM
In this paper we are demonstrating the importance of building and achieving a renewable electrical power system that works in synchronization with the grid. The average of consumption, generation and the negative environmental effect of generating power were analyzed. This paper is divided into three parts, one was analyzed with Green Building Studio software and…
Read MoreImprovised E-Rickshaws for Indian Roads by Effective Battery-Ultracapacitor Hybridization
The revolution in the electrification of conventional vehicles due to increased petroleum prices and environmental concerns has had its impact on three-wheeler vehicles as well. Motorized three-wheeled vehicles, known as Auto-rickshaws, are a standard mode of trans- portation in India. Existing battery operated electric rickshaws (known as E-rickshaws) available in major cities of India faces…
Read MoreEffects of Resting Actions Using Smart Toys During Break Times on Concentration in E-learning
This study conducted experiments to investigate the effects of resting actions of e-learners during break times on keeping and improving the concentrations of learners in e-learning. Two smart toys (a dog-type robot “aibo” and a toy drone) were used for the resting actions. Two types of experiments were conducted to examine the effects: one is…
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 MoreThe Effect of User Experience from Teksologi
A meaningful User Experience can indicate successful of the application, so it is important to provide positive experience which aims to maximize the usability of an application. The purpose of this current study is to evaluate the user experience of an application called Teksologi: Gamification interactive typing for visually impaired children in Indonesia. User Experience…
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 MoreStrain–Displacement Expressions and their Effect on the Deflection and Strength of Plate
This paper studied the bending analysis of an isotropic rectangular plate for the effects of aspect ratio, shear and deflection on the critical lateral load of the plates using the polynomial shear deformation theory (PSDT). One of the plate is clamped at opposite edge clamped and the other opposite edge simply supported (CSCS). The other…
Read MoreWater Availability for a Self-Sufficient Water Supply: A Case Study of the Pesanggrahan River, DKI Jakarta, Indonesia
The research will explore the challenges of using local water sources inside the city for a self-sufficient urban water supply by developed a system dynamics model. This study aims to evaluate and understand the Pesanggrahan River appropriateness as a raw drinking water source through a conceptual model that can accurately represent the interactions between the…
Read MoreDifferential Evolution based Hyperparameters Tuned Deep Learning Models for Disease Diagnosis and Classification
With recent advancements in medical filed, the quantity of healthcare care data is increasing at a faster rate. Medical data classification is considered as a major research topic and numerous research works have been already existed in the literature. Presently, deep learning (DL) models offers an efficient method for developing a dedicated model to determine…
Read MoreAnalysis of Security-Reliability Trade-off for Multi-hop Cognitive Relaying Protocol with TAS/SC Technique
This paper studies a trade-off between security (intercept probability (IP)) and reliability (outage probability (OP)) for a multi-hop decode-and-forward (DF) relaying protocol in an underlay cognitive radio network, in presence of a multi-antenna eavesdropper. In the considered protocol, all primary and secondary terminals are equipped with multiple antennas, and they employ transmit antenna selection (TAS)…
Read MoreThe Effects of Transmission Power and Modulation Schemes on the Performance of WBANs in on-Body Medical Applications
Wireless Body Area Networks support the operation within multiple frequency bands. Thus, they can be integrated in several applications, one of which is on-body medical monitoring applications, as concerned in this paper. Therefore, the purpose of this study is to present the impact of transmission power and both of Differential Binary Phase Shift Keying and…
Read MoreA Review on Cross-Layer Design Approach in WSN by Different Techniques
Wireless Sensor Networks (WSN) include a large number of sensor nodes that are connected to each other with the limitations in energy sources, battery life, memory, mobility and computational capacity. Since the traditional layered architecture was appropriate only for the wired network. It works within a strict boundary that leads to more energy usage as…
Read MoreReal-Time Traffic Sign Detection and Recognition System for Assistive Driving
Road traffic accidents are primarily caused by drivers error. Safer roads infrastructure and facilities like traffic signs and signals are built to aid drivers on the road. But several factors affect the awareness of drivers to traffic signs including visual complexity, environmental condition, and poor drivers education. This led to the development of different ADAs…
Read MoreApplication of EARLYBREAK for Line Segment Hausdorff Distance for Face Recognition
The Hausdorff distance (HD) is defined as MAX-MIN distance between two geometric objects for measuring the dissimilarity between two objects. Because MAX-MIN distance is sensitive with the outliers, in face recognition field, average Hausdorff distance is used for measuring the dissimilarity between two sets of features. The computational complexity of HD, and also average HD,…
Read MoreStudy of the Effect of Abnormalities in the External Ear Inducing Hearing Problems
Tinnitus is a phenomenon for which the patient hears sound in the absence of any external sound source. To this day, there is no cure for this phantom sound perception. But it can be masked temporarily to help relief the patient’s pain. In order to allow this, a better understanding of the phenomenon is needed.…
Read MoreA CNN-based Differential Image Processing Approach for Rainfall Classification
With the aim of preventing hydro-geological risks and overcoming the problems of current rain gauges, this paper proposes a low-complexity and cost-effective video rain gauge. In particular, in this paper the authors propose a new approach to rainfall classification based on image processing and video matching process employing convolutional neural networks (CNN). The system consists…
Read MoreEffects of Oversampling SMOTE in the Classification of Hypertensive Dataset
Hypertensive or high blood pressure is a medical condition that can be driven by several factors. These factors or variables are needed to build a classification model of the hypertension dataset. In the construction of classification models, class imbalance problems are often found due to oversampling. This research aims to obtain the best classification model…
Read MoreCluster Centroid-Based Energy Efficient Routing Protocol for WSN-Assisted IoT
Wireless sensor network is highly resource constrained, where energy efficiency and network lifetime plays a major role for its sustenance. As the sensor nodes are battery operated and deployed in hostile environments, either recharging or replacement of batteries in sensor nodes is not possible after its deployment in inaccessible areas. In such condition, energy is…
Read MoreDiffusion of Technology for Language Challenges in the South African Healthcare Environment
Even though mobile technologies are increasingly used to enable communications between providers and receivers of healthcare services, there remain severity challenges owing to the use of various indigenous languages in many Africa countries. Some of the challenges get worst in a countries like South Africa where there are eleven official languages. As a result, interpreters…
Read MoreBuffering Supercapacitor Mechanism based on Bidirectional DC/DC Converter for Mini All-Terrain Vehicle Application
Fundamentally, the Bidirectional DC/DC converter consists of Buck and Boost modes, which working alternately. Hence, it has two output directions: Buck mode for decreasing the voltage and Boost mode for increasing the voltage at certain levels. In this work, we applied a non-isolated topology of the Bidirectional DC/DC converter for electric vehicle, that is mini…
Read MoreAdapting to Individual Differences (ATID) For Inductive Thinking and Learning Purpose
The research in general aims to develop students’ writing skills by applying a model with reader response strategy and visual symbols to promote students’ morals. Specifically, this inquiry is expected to describe the acceptability, comparison, impact, strength, and shortcomings, and the model Adapting To Individual Differences (ATID) of Indonesian literature learning to promote writing skills.…
Read MoreA Novel Representative k-NN Sampling-based Clustering Approach for an Effective Dimensionality Reduction-based Visualization of Dynamic Data
Visualization plays a crucial role in the exploratory analysis of Big Data. The direct visualization of Big Data is a challenging task and difficult to analyze. Dimensionality Reduction techniques extract the features in the context of visualization. Due to the unsupervised and non-parametric nature, most of the dimensionality reduction techniques are not evaluated quantitatively and…
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