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Keyword: UseTime-to-Event Analysis for Recovery from Coronavirus Disease (COVID-19): A Case Study on Wuhan and Elsewhere in China from Jan 1 to Feb 11, 2020
COVID-19 is a viral disease that became a pandemic representing a very great challenge worldwide. The purpose of this article is to analyze COVID-19 patients’ data based on time- to-event analysis and identify the factors that affect the recovery time from COVID-19. The datasets that are used in this study are for cases that are…
Read MoreFeatures Preference using Conjoint Analysis Method for E-marketplace Social Care System
With the features of the application system make it easier for users to transact, make the user feel comfortable in using the application system. The problem is that the intensity of application usage decreases judging by the application rating given by the user each time they perform a transaction, this is because the company initially…
Read MoreA Framework for Adoption and Diffusion of Mobile Applications in Africa
The adoption and diffusion of mobile applications (mobile apps) has become the base of modern activities in Africa owing to the services and values that are obtained through mobile apps innovations. More emphasis has been on the development of mobile apps whereas the adoption and diffusion process as well as their predictors are ignored or…
Read MoreESP2: Embedded Smart Parking Prototype
The technological evolution and the frequent use of the Internet as a technology within the framework of the Internet of Things and Robotics has affected various fields such as Industry 4.0, smart agriculture, smart cities, home automation and autonomous cars. These advances applied to everyday life have facilitated the implementation of new concepts to minimize…
Read MoreApplication of Deep Belief Network in Forest Type Identification using Hyperspectral Data
Forest mapping by remote sensing is a hot topics in forestry. At present, many researchers focus on the research of forest type classification or tree species identification using different machine learning methods and try to improve the accuracy of classification of satellite image. However, forest type classification using deep belief network (DBN) is still limited…
Read MoreA Software-Defined Network Approach for The Best Hospital Localization Against Coronavirus (COVID-19)
Traditional networks have difficulty in meeting the technological developments and the continuous increase in the size of data to be processed. Software-Defined Network (SDN) approach has emerged as an alternative to traditional networks. SDN separates the control and data planes from each other and manages the network over the control plane with flexibility and cost…
Read MoreProphet Architecture in Normalized Meter Energy Consumption Prediction on Building
Normalized Metered Energy Consumption (NMEC) is a solution for investors in determining the best energy-saving strategy for buildings. But on the other hand, investors need a fast and reliable evaluation results in measuring how effective the savings methods they use without wasting money. To address this issue, we selected Facebook’s latest predictive time series method…
Read MoreImplementation of a Journalist Business Intelligence in Social Media Monitoring System
The need to update the news at this time is very important. Journalists have responsibilities as their job. Apart from conveying the correct news to the public, they must also deliver it quickly. Journalists who are tasked as news seekers must always be updated about the latest news that is viral, therefore a journalist must…
Read MoreImpact of Changing Microstructural Compositions of Lime Based Mortar on Flexibility: Case Study of Sustainable Lime-Cement Composites
Lime mortar, an age-long building material is primarily popular for its flexibility, the basis of its ability to accommodate masonry deformation, hence durability. However, lime’s characteristic delayed setting/hardening time, low mechanical strength and poor internal cohesion often characterised by volumetric changes have put its use into decline. These shortcomings have therefore relegated relevance of this…
Read MoreSimulation Based Energy Consumption Optimization for Buildings by Using Various Energy Saving Methods
The world has turned in the modern era to reduce peak times for electricity consumption, where the peak times cause excessive load on the electricity grid and power stations. In Egypt air conditioning loads are considered the main contributing reasons for the peak time’s problem due to presence of large unshaded glazed surfaces, which cause…
Read MoreSocial Engineering to Establish Digital Culture in Higher Education
This study aims to discuss the establishment of digital culture in higher education as an effort of higher education to align themselves with the development of science and technology so that that higher education is always at the forefront in the enforcement and provide high-quality education. The method used in this study is a qualitative…
Read MoreAn Investigation of the Effect of Optimal Plane Spacing Between Electrode Planes for the EIT Industrial Applications
In this paper, the effect of plane spacing between electrode planes on Electrical Impedance Tomography (EIT) reconstructed images is investigated. Image properties of models for various plane spacings between electrode planes on EIT imaging were investigated by applying conventional measurement strategies. Sensitivity analysis and spatial resolution analysis were used to study the influence of the…
Read MoreComparative Study Between Three Methods for Optimizing the Power Produced from Photovoltaic Generator
The technics of maximum power point tracking is widely used in solar photovoltaic energy and electric power system applications. Traditionally, these technics are based on conventional methods like perturb and observe and incremental conductance. In this work, three methods based on particle swarms optimization, incremental conductance and adaptive neuro fuzzy inference system are presented. A…
Read MoreParameter Estimation for Industrial Robot Manipulators Using an Improved Particle Swarm Optimization Algorithm with Gaussian Mutation and Archived Elite Learning
This work presents the analysis and formulation for optimizing the dynamic model and parameter estimation of all the six joints of a 6DOF industrial robot manipulator by utilizing swarm intelligence to optimize two excitation trajectories for the first three links at the arm and the last three links at the wrist of the robot manipulator.…
Read MoreFabrication and Optimization of High Frequency ZnO Transducers for Both Longitudinal and Shear Emission: Application of Viscosity Measurement using Ultrasound
This paper covers the study of high-frequency (~ 1 GHz) ZnO piezoelectric transducer integrated on a silicon substrate able to generate both compressional and shear acoustic waves. First, to promote the longitudinal mode, an electrical matching of the transducer in this high-frequency range is effectuated. Second, to promote shear waves, new deposition conditions were applied,…
Read MoreHandling Priority Data in Smart Transportation System by using Support Vector Machine Algorithm
In an intelligent transportation system (ITS), time is a big challenge since processing a huge amount of data in a short time is very difficult, especially when the processed data is heterogeneous, consisting of a mixture of emergency data, normal data, and noise. In an ITS, an ambulance is one of the priority vehicles, and…
Read MoreSolution of the Semiconductor-Device Equations by the Numerov Process
The one-dimensional form of some types of differential equations that appear in the modeling of solid-state devices, like, e.g., the Poisson and Schro¨ dinger equations, can be solved numerically using the Numerov Process (NP). The accuracy of NP is superior by at least two orders of magnitude to that of commonly-used solution methods like, e.g.,…
Read MoreRecommendation System for SmartMart-A Virtual Supermarket
The current online shopping system does not provide the actual shopping experience to the users where they scroll through the web pages and select an item to purchase, which becomes monotonous soon and lacks the shopping experience. This paper describes the development of the SmartMart, a 3D shopping mart where the user can navigate around…
Read MoreA Study on the Tool Wear in Milling Process of the Gleason Spiral Bevel Gear
In this paper, the investigated results on tool wear in milling process of a Gleason spiral bevel gear was investigated. The CVD Ti (C, N)-Al2O3-TiN coated carbide inserts were used in the experimental process. The cutting inserts clamped on the tool head of Gleason tool head system. The workpiece material that was used in this…
Read MoreA prediction of Cutting Force, System Vibration, and Productivity in Five-Axis Milling Process of the Spiral Bevel Gear
In this study, Taguchi method and ANOVA that are applied to determine the influence of several input parametrs on cutting force amplitude (F), vibration acceleration amplitude (a), and machining productivity (P) in the five-axis finish milling process of the spiral bevel gear. Taguchi orthogonal L27 array is used to design the experimental matrix with 27…
Read MoreAnalysis of Physical and Mechanical Properties of Galvanic-Plasma Wear-Resistant Coatings
This article shows the possibility of creating high wear-resistant and corrosion-resistant coating by plasma electrolytic oxidation (PEO) on the AlSi12Cu aluminum alloy. The combination of influencing parameters during processing allows to influencing of the set of quality indicators of coating, such as the thickness of the coating layer, microhardness, porosity, phase and elemental composition. The…
Read MoreImage Tag Recommendation based on Ranked Categorical Nearest Neighbors and Weighted Tag Features
The huge number of images on the image sharing websites poses challenges for classification and retrieval of the images. On many image sharing websites, tags can be assigned by the users to an image that describes the contextual and visual description of an image. However, ambiguous or incorrect tags have appeared in frequent tags that…
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 MoreInvestigating Students’ Computational Thinking through STEM Robot-based Learning Activities
Nowadays, robots are an important learning tool in education and are increasingly used inside and outside the classroom to foster the development of students’ knowledge, skills, and attitudes connecting to a real-world situation. In past years, using robots in STEM (science, technology, engineering, and mathematics) education has been proposed as one of the strategies to…
Read MoreImproved Design and Recommendations for Street Lighting in Gitega City
The article discusses the possibility of using solar energy for street lighting systems in the city of Gitega, in the Republic of Burundi. Analysis of weather and climate conditions of the city was carried out and an effective street lighting system based on solar mini-power plants using an intelligent control system developed. Calculations of technical…
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