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Keyword: AIStandardized 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 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 MoreAn Evaluation of some Machine Learning Algorithms for the detection of Android Applications Malware
Android Operating system (OS) has been used much more than all other mobile phone’s OS turning android OS to a major point of attack. Android Application installation serves as a major avenue through which attacks can be perpetrated. Permissions must be first granted by the users seeking to install these third-party applications. Some permissions can…
Read MoreA Machine Vision Approach for Underwater Remote Operated Vehicle to Detect Drowning Humans
Today, Drowning is the 3rd major cause for unintentional injury death accounting for 7% of deaths of all injury deaths. Drowning is a state of suffocation when water or other fluids accumulate the lungs, resulting in respiratory impairment, ultimately leading to death. The predominant problem during rescue operations of such accidental drowning is to locate…
Read MoreNew Properties of Crimes in Virtual Environments
Virtual reality is a technology that literally allows constructing of a new reality for its users. VR has huge potential, it is able to change social life, communications, and the academic sphere, but VR may also be applied by criminals. In the present paper properties of potentially committed crimes in VR are analyzed. It is…
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 MoreAnalysis of Learning Difficulties in Object Oriented Programming in Systems Engineering Students at UNTELS
The learning difficulties of Object-Oriented Programming can be one of the causes of failure in college students, which can even lead to student dropout. This article has the purpose of analyzing the main learning difficulties of object-oriented programming using the Java programming language in Systems Engineering students of the Universidad Nacional Tecnológica de Lima Sur…
Read MoreSentiment Analysis in English Texts
The growing popularity of social media sites has generated a massive amount of data that attracted researchers, decision-makers, and companies to investigate people’s opinions and thoughts in various fields. Sentiment analysis is considered an emerging topic recently. Decision-makers, companies, and service providers as well-considered sentiment analysis as a valuable tool for improvement. This research paper…
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 MoreFPGA-Based Homogeneous and Heterogeneous Digital Quantum Coprocessors
Quantum computers are heterogeneous device. It consists of a main CPU and a quantum accelerator. True quantum accelerator (or coprocessor) is analog and probabilistic device. Qubits are the basic building blocks of quantum computers. But qubits can be digital. A digital qubit is similar to RISC processor pipeline and is an unique chain of digital…
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 MoreHigh-Performance Computing: A Cost Effective and Energy Efficient Approach
The world is witnessing unprecedented advancements in ICT (Information & Communication Technology) related fields. These advancements are further boosted with the emergence of big data. It goes without saying that big data requires two major operations: storage and processing. The latter is usually provided through High-Performance Computing (HPC) which is delivered through two main venues:…
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 MoreA Computational Modelling and Algorithmic Design Approach of Digital Watermarking in Deep Neural Networks
In this paper we propose an algorithmic approach for Convolutional Neural Network (CNN) for digital watermarking which outperforms the existing frequency domain techniques in all aspects including security along with the criteria in the neural networks such as conditions embedded, and types of watermarking attack. This research addresses digital watermarking in deep neural networks and…
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 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 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…
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