Results (1793)
Search Parameters:
Keyword: IAMulti Biometric Thermal Face Recognition Using FWT and LDA Feature Extraction Methods with RBM DBN and FFNN Classifier Algorithms
Person recognition using thermal imaging, multi-biometric traits, with groups of feature filters and classifiers, is the subject of this paper. These were used to tackle the problems of biometric systems, such as a change in illumination and spoof attacks. Using a combination of, hard and soft-biometric, attributes in thermal facial images. The hard-biometric trait, of…
Read MoreFast Determination of Tsunami Source Parameters
Source parameters of tsunami waves are an essential part of any modern tsunami warning system. Recalculation of a measured time series (wave profile obtained by a seabed-based pressure sensor) in terms of initial sea surface displacement at tsunami source is among the most (or) one of the promising approaches to be applied in a warning…
Read MoreCreating a Digital Twin: Simulation of a Business Model Design Tool
Digitization forces industry players to adapt to transforming market situations and buyer behavior. Technological advances, buyer power, and sharpened competitive intensity imply that businesses are confronted with the menace of commoditization. For companies to perform successfully in the market, outdated business models ought to be rethought and new business models should be created. Unique selling…
Read MoreThe Relationship of Coalition on Employee Spiritual Engagement: Interplay of Organisational Politics
The objective of the study was to establish the relationship between coalition and employee spiritual engagement. The research was quantitative, and data was administered and retrieved from employees at the selected private radio firms. Content validity was utilised to ascertain the validity of the instrument, and the reliability of the instrument was established using Cronbach’s…
Read MoreQ2 YouTube: Quantitative and Qualitative Information Analysis based Influencer-aware YouTube Channel Ranking Scheme
With the development of big data, artificial intelligence and deep learning, various social information networks are becoming exponentially intelligent. Of all the various social networks, YouTube is so popular that it is called the YouTube era. Not only video viewers, but also actual video producers, influencer youtubers, are increasing, allowing individuals as well as operators…
Read MoreModelling and Control of The PV Power System Dedicated to The Greenhouse for Reduced Energy Consumption
A control of the greenhouse when it is connected to the photovoltaic generator is described in this paper. The greenhouse is modulated by differential equations while the temperature and humidity are regulated using the fuzzy logic controller. The photovoltaic system can supply maximum power for a specified voltage and output current. In addition, the fuzzy…
Read MoreLED Lighting Implementation as a Strategy for Energy Saving in Energetically Sustainable Campus
Since lighting constitutes an important part of the total electricity consumption of a country, the design and implementation of more efficient interior lighting systems are one of the feasible strategies to reduce energy consumption. With this purpose, in recent years several studies have considered the use of LED lighting systems. However, its implementation at a…
Read MoreAnalysis of Information Security for a Voting Process for Sectional Governments in Ecuador
Knowing about different events in several Latin American countries, as well as in Ecuador, in relation to data alteration, in the different sectional voting processes, it has been necessary to carry out a security analysis provided by the systems of choice in the different sectional governments of the country. The objective of this study is…
Read MoreDirection of Arrival Using 2-D Matrix Pencil Method
In this research work, we proposed a technique to decrease the complexity of 2-D Matrix Pencil (MP) for the direction of arrival (DOA) evaluation by combining two perpendicular arrays: The first one is the uniform linear array (ULA) and the second one is a uniform circular array (UCA). This special structure for the 2D Matrix…
Read MorePriority Incorporated Zone Based Distributed Clustering Algorithm for Heterogeneous Wireless Sensor Network
Wireless sensor networks (WSNs) are considered to be the currently flourishing scientific domain, thereby found to be applicable in numerous industrial and domestic applications. As per the mathematical results in Pulse-coupled oscillator (PCO), it has been predicted that, numerous iterations are needed for convergence, leading to increased power consumption. Biologically inspired solutions are greatly applicable…
Read MoreResonator Influence Simulation of Designed Close-Open Standing Wave Thermoacoustic Engine
Thermo-acoustic technology is very potential to be applied to convert heat into another energy source. The complete thermoacoustic engine construction requires a resonator connected to a core where there is a heat exchanger. The thermoacoustic core has a function as an acoustic power generator while the resonator functions as a storage of acoustic power which…
Read MoreSentiment Analysis of Transjakarta Based on Twitter using Convolutional Neural Network
TransJakarta is one of the methods to reduce congestion in Jakarta. However, the number of TransJakarta users compared to number of private vehicle users is very small, only 24% of the total population in Jakarta. The purpose of this research is to know public opinions about TransJakarta whether positive or negative by doing sentiment analysis…
Read MoreProposal Methodology of Planning and Location of Loading/Unloading Spaces for Urban Freight Vehicle: A Case Study
The problem of planning and location of loading/unloading (L/U) areas attracting interest from several researchers. This is mainly because of the heterogeneity of information and the great complexity of logistics flows. Among the projects of the urban logistics in Morocco, the L/U areas represent an essential importance in the deliveries to the centers of the…
Read MoreImprove the Accuracy of Short-Term Forecasting Algorithms by Standardized Load Profile and Support Regression Vector: Case study Vietnam
Short-term load forecasting (STLF) plays an important role in building business strategies, ensuring reliability and safe operation for any electrical system. There are many different methods, including: regression models, time series, neural networks, expert systems, fuzzy logic, machine learning and statistical algorithms used for short-term forecasts. However, the practical requirement is how to minimize the…
Read MoreImprovement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal
Manufacturing System (MS) sizing is a crucial task to complete in order to obtain the desired MS performance and efficiency. It involves selecting the required number of resources from each used type in a given planning horizon. In fact, different approaches coupling simulation/optimization tools have been developed to solve this issue and evaluate the MS…
Read MorePrediction of Non-Communicable Diseases Using Class Comparison Data Mining
Data mining is recognized as an effective technique for extracting and retrieving valuable information or decision from the vast available data. Because of the nature of the functionality of medical centers and hospitals, their data centers contain a collection of valuable information about their patients. By properly processing these data, different applications can be developed…
Read MoreChatting with Plants (Orchids) in Automated Smart Farming using IoT, Fuzzy Logic and Chatbot
Plants are living organisms that can hear and recognize the environment around them but cannot communicate to inform their needs. Thus, in the past, humans thought that it was impossible to communicate with plants. However, in this modern era, humans can be able to communicate with these plants. In this paper, we propose a model…
Read MoreAndroid Application to Detect Cat Disease Using an Expert System
The purpose of this research is to develop an android application named “TANYA MEOW” which can be used by cat owners to detect the diseases that their cats suffer based on visible symptoms. The cat owners need to answer questionnaire to detect what disease is suffering by their cat. The result of the disease is…
Read MoreSatisfaction of the Graduate for the Continuous Improvement of Educational Quality in UNTELS
The Universidad Nacional Tecnologica de Lima Sur (UNTELS), like all universities, has as one of its objectives the training of professionals with skills that the changing working world requires. One way to establish the relevance of what UNTELS offers to its students is to know relevant information from graduates that entails, to their authorities, establish…
Read MoreApplication of Fractal Algorithms to Identify Cardiovascular Diseases in ECG Signals
The aim of this article was the identification of cardiovascular diseases, after applying Katz and Higuchi fractal algorithms on 4 databases of ECG signals downloaded from the Physionet website: heart failure (HF), hypertension (H), ischemic heart disease (IHD) and normal sinus rhythm (NSR). For this purpose, initially the ECG signals passed through a filtering stage…
Read MoreDevelopment of Teaching Aids Selection Standards in Maker Education
Due to the recent development of information and communication technology, such as sensor technology, IoT technology, and smart technology, interest in maker education is increasing. Maker education offers students experience-based education that allows them to make their own results, giving them various interests and motivations. Recently, various research results on maker education have been under…
Read MorepH Neutralization Process Control based on Active Disturbance Rejection Control
This paper considers active disturbance rejection control (ADRC) as a new control approach for pH neutralization process. The pH process is challenging to control due to its sensitivity to disturbance, nonlinear dynamics, and time-varying characteristics. Special attention is paid to the impact of disturbances typically exists in the chemical process. First, the pH neutralization process…
Read MoreAssessment of the Quality and Sustainability Implications of FIFO and LIFO Inventory Policies through System Dynamics
Perishable inventory management contributes simultaneously to society and the economy, by reducing food wastage and capitalizing on the freshness of goods. For this reason, countless mathematical models have been developed for their effectiveness and cost-efficient management. Yet, the majority of these models can only optimize systems for a limited time frame, allowing for small gains…
Read MoreMechanical Testing Methods for Body-Powered Upper-Limb Prostheses: A Case Study
3D-printing technologies have greatly influenced the field of fabrication of medical devices. In particular, Fused Deposition Modeling 3D printing has emerged as one the most popular and most promising technologies for fabricating upper-limb prostheses. Over the last years, a variety of types and designs of 3D-printed hand prostheses have been created and are commercially available.…
Read MoreProposal for a Security Model for a Popular Voting System Process in Latin America
In Latin America, there is a need for better security systems in different national or sectional votes, which is why this study was carried out, to show a proposal for a security model that helps to obtain better results and to this purpose has been selected information on the database for different Latin American countries,…
Read More
