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Keyword: ODELearning strategies and Academic Goals to Strengthen Competencies in Electronics and Digital Circuits in Engineering Students
The purpose of this article was to determine the incidence between learning strategies and academic goals in the competences of the curricular experience of electronics and digital circuits in engineering students of a private university in Lima, Peru. The objective was to explain how learning strategies and academic goals explain the behavior of engineering students…
Read MoreStandardized UCI-EGO Dataset for Evaluating 3D Hand Pose Estimation on the Point Cloud
To evaluate and compare methods in computer vision, scientists must use a benchmark dataset and unified sets of measurements. The UCI-EGO dataset is a standard benchmark dataset for evaluating Hand Pose Estimation (HPE) on depth images. To build robotic arms that perform complex operations such as human hands, the poses of the human hand need…
Read MoreThe Designing of Institute’s Educational Mascots for Brand Identity
The purpose of this study is to show how to design the character used as the symbol or Mascot of the educational institution and how to apply the design results into advertising and Brand identity design such as printing art, poster, digital media, toy, and souvenir. In this study, the ideas of mascot design have…
Read MoreDesign of Power Efficient Routing Protocol for Smart Livestock Farm Applications
The demand on livestock as a source of protein is increasing with the dramatic increase of world population which approaches 8 billion. As a result, the monitoring of the performance of livestock breeding is becoming essential. The technique which could increase livestock production and improve the efficiency of operation is digitalization of livestock management .…
Read MoreEfficient and Scalable Ant Colony Optimization based WSN Routing Protocol for IoT
IoT integrates and connects intelligent devices or objects with varied architectures and resources. The number of IoT devices is growing exponentially. Due to the massive wave of IoT objects, their diversity and heterogeneity among their architectures, the existing communication protocols for wireless networks become ineffective in the context of IoT. Wireless Sensor Network (WSN) has…
Read MoreJapanese Abstractive Text Summarization using BERT
In this study, we developed and evaluated an automatic abstractive summarization algorithm in Japanese using a neural network. We used a sequence-to-sequence encoder-decoder model for practical purposes. The encoder obtained a feature-based input vector of sentences using the bidirectional encoder representations from transformers (BERT) technique. A transformer-based decoder returned the summary sentence from the output…
Read MoreReal-time Gradient-Aware Indigenous AQI Estimation IoT Platform
Environmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges.…
Read MoreA Novel Way to Design ADS-B using UML and TLA+ with Security as a Focus
Automatic Dependent Surveillance-Broadcast (ADS-B) is the future of aviation. It is a vast system that provides situational awareness for the aviator and regulator at a very low cost and does so with the aid of multiple disparate systems working closely together and communicating with one another. ADS-B uses the Global Navigation Satellite System (GNSS/ GPS)…
Read MoreType 2 Diabetes Risk and Physical Activity in outpatients treated in Health Centers in a District of North Lima, 2020
Diabetes Mellitus Type 2 is a chronic disorder that affects the way the body metabolizes sugar (glucose) in the blood and depends on a combination of risk factors, such as genes and lifestyle. Although certain risk factors such as family history, age, or ethnicity cannot be changed, those related to diet, physical activity, and weight…
Read MoreOn Design of IoT-based Power Quality Oriented Grids for Industrial Sector
Manufacturing industry is facing several challenges in power quality and energy consumptions that play a significant role in the cost of goods sold in addition to the operational efficiency of manufacturing plants. The current techniques are not enough to manage the manufacturing processes from power perspectives as it is focusing only on the monitoring of…
Read MoreElasticity Based Med-Cloud Recommendation System for Diabetic Prediction in Cloud Computing Environment
Day to day huge medical data have been accumulating for diabetic diseases. The complexity of storing, processing ,analyzing and predicting the data related to diabetics is not so easy for healthcare professionals .The prediction of accurate results also has the limitation due to scale of data increasing worldwide for patients, symptoms and test results .In…
Read MoreTime-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 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 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 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 MoreImpact of Salinity on Stabilized Leachate Treatment from Ozonation Process
Leachate generated from landfill Indonesia is typical has high salinity and organic matters during the dry season, potentially contaminating water and the environment. An increase in salinity might deteriorate the activity of the microorganisms on the decomposition process. This research aims to study the feasibility of the ozonation technique for treating stabilized leachate. The parameters…
Read MoreComparative Analysis Spline Methods in Digital Processing of Signals
In this article, the Grebennikov cubic spline, the Ryabenky cubic spline, and we offer the local interpolation cubic spline models are selected. The construction details of the models were given and the processes of approximating the functions were performed using selected local cubic splines. We can also say that the local interpolation cubic spline models…
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 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 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 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 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.…
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