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Keyword: ISIOptimization of the Procedures for Checking the Functionality of the Greek Railways: Data Mining and Machine Learning Approach to Predict Passenger Train Immobilization
Information is the driving force of businesses because it can ensure the ability of knowledge and prediction. The railway industry produces a huge volume of data, with the proper processing of them and the use of innovative technology, there is the possibility of beneficial information to be provided which constitute the deciding factor for the…
Read MoreUtilization of Data Mining to Predict Non-Performing Loan
In the banking industry, the existence of problem loans is inevitable. NPL (Non-Performing Loan) will certainly have an impact on the reduction in the capital of a bank. One good step in reducing the risk of credit default or the emergence of non-performing loans is to take proper care of debtors who begin to experience…
Read MoreContextualization of the Augmented Reality Quality Model through Social Media Analytics
Augmented Reality applications are gaining popularity while maintaining novelty. Many industries are utilizing the user interface type, and use cases are becoming repeat patterns of problem solutions. Despite this rising popularity, quality has not matured nor has the technology become mainstream. Novelty must be approached as risk, and risk must be evaluated for and tested…
Read MoreA Survey on 3D Hand Skeleton and Pose Estimation by Convolutional Neural Network
Restoring, estimating the fully 3D hand skeleton and pose from the image data of the captured sensors/cameras applied in many applications of computer vision and robotics: human-computer interaction; gesture recognition, interactive games, Computer-Aided Design (CAD), sign languages, action recognition, etc. These are applications that flourish in Virtual Reality and Augmented Reality (VR/AR) technologies. Previous survey…
Read MoreOffline Signature Recognition and Verification Using ORB Key Point Matching Techniques
An extensive work has been carried out in the field of human transcribe-verification and transcribe-recognition by extensive scholars across the globe from past decades. In order to demeanour immense experiments for considering the performance of the newly intended models and to substantiate the efficacy of the proposed model which is moderately required. This paper monologue…
Read MoreA Fuzzy-PID Controller Combined with PSO Algorithm for the Resistance Furnace
The paper presents a novel control strategy applying the particle swarm optimization (PSO) algorithm to optimize the scaling weights coefficients of the fuzzy-PID controller for the resistance furnace temperature control system, called PSO-based fuzzy-PID controller/ algorithm. The proposed PSO-based fuzzy-PID controller in this paper consist of the fuzzy-PID controller and the PSO algorithm. The proposed…
Read MoreEfficient Discretization Approaches for Machine Learning Techniques to Improve Disease Classification on Gut Microbiome Composition Data
The human gut environment can contain hundreds to thousands bacterial species which are proven that they are associated with various diseases. Although Machine learning has been supporting and developing metagenomic researches to obtain great achievements in personalized medicine approaches to improve human health, we still face overfitting issues in Bioinformatics tasks related to metagenomic data…
Read MoreEfficiency Enhancement of p-i-n Solar Cell Embedding Quantum Wires in the Intrinsic Layer
A high efficiency InAs/GaAs quantum wire solar cell is modelled embedding periodic array of InAs quantum wires (QW) in the intrinsic layer. The promising low dimensional heterostructure such as Quantum Wells, Quantum Wires, Quantum Dots or Dashed (elongated Dots) based intermediate-band-gap solar cells are recently being grasped the attention for ongoing third generation solar cell…
Read MoreSpot Toyota: Design and Development of a Mobile Application for Toyota’s Promotion Actions to the Young Audience
This project aims to demonstrate the importance that digital media can have to the development of loyalty programs, namely in creating empathy and proximity relationships between brands and their target audience: young people. This study consisted of the creation of a digital platform for Toyota Portugal, named Spot Toyota, to communicate actions promoted by the…
Read MorePrognosis of Failure Events Based on Labeled Temporal Petri Nets
To reduce the risk of accidental system shutdowns, we propose to control system developers (supervisor, SCADA) a prediction tool to determine the occurrence date of an imminent failure event. The existing approaches report the rate of occurrence of a future failure event (stochastic method), but do not provide an estimation date of its occurrence. The…
Read MoreEstimation of Influential Parameter Using Gravitational Search Optimization Algorithm for Soccer
Competitive sport has one phenomenal or fundamental aspect of selecting players into playing squad for a game that can influence a Club or a team in almost all major aspects. Various Characteristics or behavioral aspects of players will be instrumental towards the selection of a specific player into a team depending on the nature, level,…
Read MoreBased on Reconfiguring the Supercomputers Runtime Environment New Security Methods
This paper is an extension of work originally presented in 2019 Third World Conference on Smart Trends in Systems Security and Sustainability (WorldS4). Author describes two new methods: reactive protection method (without delay after detecting an attack), which consists in virtualizing the execution environment of supercomputers processes if the calculated state descriptor falls into the…
Read MoreImproved Nonlinear Fuzzy Robust PCA for Anomaly-based Intrusion Detection
Among the most popular tools in security field is the anomaly based Intrusion Detection System (IDS), it detects intrusions by learning to classify the normal activities of the network. Thus if any abnormal activity or behaviour is recognized it raises an alarm to inform the users of a given network. Nevertheless, IDS is generally susceptible…
Read MoreA Review on Autonomous Mobile Robot Path Planning Algorithms
The emerging trend of modern industry automation requires intelligence to be embedded into mobile robot for ensuring optimal or near-optimal solutions to execute certain task. This yield to a lot of improvement and suggestions in many areas related to mobile robot such as path planning. The purpose of this paper is to review the mobile…
Read MorePerformance Analysis of Joint Precoding and Equalization Design with Shared Redundancy for Imperfect CSI MIMO Systems
Analytical researches on a potential performance of multipath multiple-input multiple-output (MIMO) systems inspire the development of new technologies that decompose a MIMO channel into independent sub-channels on the condition of constrained transmit power. Moreover, in current studies of inter-symbol interference (ISI) MIMO systems, there is an assumption that channel state information (CSI) at receivers and/or…
Read MoreImprovement of Desirable Thermophysical Properties of Soybean Oil for Metal Cutting Applications as a Cutting Fluid
Vegetable oils are often proved to be promising for industrial lubrication applications among which soybean oil found to be better due to its attractive and desirable thermo physical properties for machining compared to other vegetable oils. However, already it was established that influenced desirable thermophysical properties necessary for a vegetable oil through which better machining…
Read MoreDynamic Objects Parameter Estimation Program for ARM Processors Based Adaptive Controllers
Modern microcontrollers are capable to realize not only traditional PID-regulators but also adaptive ones. Object of control parameters estimation is the biggest part of adaptive control from the point of view of time consumption. The ways to reduce this time for digital control systems based on ARM-CORTEX 32-bit and 64-bit processors are shown in the…
Read MoreA Novel Hybrid Method for Segmentation and Analysis of Brain MRI for Tumor Diagnosis
It is difficult to accurately segment brain MRI in the complex structures of brain tumors, blurred borders, and external variables such as noise. Much research in developing as well as developed countries show that the number of individuals suffering tumor of the brain has died as a result of the inaccurate diagnosis. The proposed article,…
Read MoreLegal Regulation as Driver for Sustainable Development of Nigeria’s Solid Mineral Sector
The need to optimally explore Nigeria’s diverse mineral resource endowments via sustainable value chain practices has, in recent times, been the focus of the Nigerian government and relevant stakeholders. This development has amongst other things, been made a necessity since the decline in Nigeria’s crude oil export and earnings, as well as the increased effort…
Read MoreA Comprehensive Survey on Image Modality Based Computerized Dry Eye Disease Detection Techniques
Dry Eye Disease (DED) is one of the commonly occurring chronic disease today, affecting the vision of eye. It causes severe discomfort in eye, visual disturbance and blurred vision impacting the quality of life of patients. Due to recent advancements in Artificial Intelligence (AI) and rapid progress of analytics techniques, several image modality based computerized…
Read MoreAnalysis of Two-Dimensional Electron Gas Formation in InGaAs-Based HEMTs
In this study, a theoretical simulation was performed using the Schrodinger-Poisson method to elucidate the formation factors for two-dimensional electron gas in InGaAs-based HEMTs. No visible change was observed in the carrier density and the potential shape. The inflection point of the energy level and the agreement of the energy level in each dimension were…
Read MoreA Simple Modelling Tool for Fast Combined Simulation of Interconnections, Inter-Symbol Interference and Equalization in High-Speed Serial Interfaces for Chip-to-Chip Communications
We describe an efficient system-level simulator that, starting from the architecture of a well-specified transmissive medium (a channel modelled as single-ended or coupled differential microstrips plus cables) and including the system-level characteristics of transmitter and receiver (voltage swing, impedance, etc.), computes the eye diagram and the bit-error rate that is obtained in high-speed serial interfaces.…
Read MoreExtending Movable Surfaces with Touch Interaction Using the VirtualTablet: An Extended View
Immersive output and natural input are two core aspects of a virtual reality experience. Current systems are frequently operated by a controller or gesture-based approach. However, these techniques are either very accurate but require an effort to learn, or very natural but miss haptic feedback for optimal precision. We transfer ubiquitous touch interaction with haptic…
Read MoreA Systematic Literature Review of Vessel Anomaly Behavior Detection Methods Based on Automatic Identification System (AIS) and another Sensor Fusion
The high flow of vessel traffic affects the difficulty of monitoring vessel in the middle of the sea because of limited human visibility, occurrence of vessel accidents at the sea and other illegal activities that illustrate abnormal vessel behavior such as oil bunkering, piracy, illegal fishing and other crimes that will continue and will certainly…
Read MoreA Psychovisual Optimization of Wavelet Foveation-Based Image Coding and Quality Assessment Based on Human Quality Criterions
In the present article, we introduce a foveation-based optimized embedded and its optimized version image coders thereafter called VOEFIC/MOEFIC and its related foveation wavelet visible difference predictor FWVDP coding quality metric. It advances a visually advanced foveal weighting mask that regulates the wavelet-based image spectrum before its encoding by the SPIHT encoder. It intends to…
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