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Keyword: ROSolutions for Building a System to Support Motion Control for Autonomous Vehicle
With a model predictive control approach including boundary analysis and uncertain prediction of activities of different road participants, this paper proposes solutions that support motion control by steering control and appropriate acceleration to create safe motion trajectories for an autonomous vehicle. The motion control support element is determined by the principle of minimal intervention and…
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 MorePromotion of the Research Activities at the Image Processing Research Laboratory (INTI-Lab) of the UCH as Knowledge Management Strategy
In Peru, approximately since 2013, a necessary change has begun in the importance given to research, science, technology, and technological innovation. Likewise, in 2014, a new University Law was approved that among other aspects also promotes research production in universities. Against this context, the universities begin to improve with more emphasis activities related to research.…
Read MoreDynamics Model and Design of SMC-type-PID Control for 4DOF Car Motion Simulator
4-DOF car motion simulator helps to simulate real-life experiences that drivers do not have the opportunity to access the real environment. The dynamics equation of 4-DOF car motion simulator is a very complex problem with many uncertain parameters, so it requires intelligent control algorithms. Sliding mode controller (SMC) can achieve good tracking performance and robustness…
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 MoreBusiness Process Design for Widuri Indah School Management System with the Support of Cloud Computing
This study aims to design business processes or school management solutions that are right for the school. Widuri Indah School is private school that has not been integrated with the school management system. Qualitative method such as observation and interview are conducted to gain insights about main activities and support activities in Widuri Indah school…
Read MoreThe Application of Mobile Learning Technologies at Malaysian Universities Through Mind Mapping Apps for Augmenting Writing Performance
21st century learning focuses on the flow of information, media, and technology. In Malaysia, many university students face problems in English writing. Thus, students should be exposed to the technology training in innovative ways to produce students with a dynamic in this ever-changing world. Recently, the transformation and the evolution of mobile have created a…
Read MoreSmart Transmission Line Maintenance and Inspection using Mobile Robots
The paper presents sharing several of experiences and practices on smart robotic application for overhead transmission line maintenance and inspection. First, the pilot-line pulling robot is an invention used to pull a pilot line which is an important step for additional high voltage conductor installation. The puller robot can traverse the overhead ground wire, OHGW,…
Read MoreMonte Carlo Estimation of Dose in Heterogeneous Phantom Around 6MV Medical Linear Accelerator
In this work, we completed a validation of the Varian Clinac IX equipped with the High Definition Multi-Leaf Collimator (HD 120 MLC) instead of the removable jaws, using GATE Monte Carlo Platform version 8.2. We validated the multileaf collimator (MLC) geometry by simulating two dosimetric functions (Percentage Depth Dose (PDD) and Dose Profile (DP)), for…
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 MoreDegradation Process in Pipeline and Remaining Useful Lifetime Estimation Based on Extended Kalman Filtering
Degradation measurements are often treated and analyzed for improvement the reliability of system. Our objective in this paper is to study a class of non linear systems, whose dynamics and observations are non linear functions of the state. Obviously, we develop an Extended Kalman Filtering (EKF) algorithm for detecting the additive failures in a two…
Read MoreA Solution Applying the Law on Road Traffic into A Set of Constraints to Establish A Motion Trajectory for Autonomous Vehicle
With a model predictive control approach and to set the motion trajectory for an autonomous vehicle in situations where emergency braking cannot be performed, in this paper, we propose a solution to apply the law on road traffic into a set of constraints and thereby build an objective function to create motion trajectory for autonomous…
Read MorePerformance of Robust Confidence Intervals for Estimating Population Mean Under Both Non-Normality and in Presence of Outliers
We proposed two robust confidence interval estimators, namely, the median interquartile range confidence interval (MDIQR) and the trimean interquartile range confidence interval (TRIQR) for the population mean (µ) as an alternative to the classical confidence interval. The proposed methods are based on the asymptotic normal theorem (ANT) for the sample median (MD) and the sample…
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 MoreA Framework for Measuring Workforce Agility: Fuzzy Logic Approach Applied in a Moroccan Manufacturing Company
In today’s Moroccan business environment, companies need to implement organization agility by developing an agile workforce that is able to deal with the environment volatility. Thus, the agile workforce concept has been appeared as a necessary and sufficient condition to achieve agility. Focusing on agile enablers influencing workforce agility is an important area but currently…
Read MoreApplications of Causal Modeling in Cybersecurity: An Exploratory Approach
Our research investigates the use of causal modeling and its application towards mapping out cybersecurity threat patterns. We test the strength of various methods of data breaches over its impact on the breach’s discovery time as well as the number of records lost. Utilizing a Causal Modeling framework, we simulate the isolation of confounding variables…
Read MoreA Survey on Image Forgery Detection Using Different Forensic Approaches
Recently, digital image forgery detection is an emergent and important area of image processing. Digital image plays a vital role in providing evidence for any unusual incident. However, the image forgery my hide evidence and prevents the detection of such criminal cases due to advancement in image processing and availability of sophisticated software tamper of…
Read MoreANN Based MRAC-PID Controller Implementation for a Furuta Pendulum System Stabilization
Nowadays, process automation and smart systems have gained increasing importance in a wide variety of sectors, and robotics have a fundamental role in it. Therefore, it has attracted greater research interests; among them, Underactuated Mechanical Systems (UMS) have been the subject of many studies, due to their application capabilities in different disciplines. Nevertheless, control of…
Read MoreA Hybrid Approach for Intrusion Detection using Integrated K-Means based ANN with PSO Optimization
Many advances in computer systems and IT infrastructures increases the risks associated with the use of these technologies. Specifically, intrusion into computer systems by unauthorized users is a growing problem and it is very challenging to detect. Intrusion detection technologies are therefore becoming extremely important to improve the overall security of computer systems. In the…
Read MoreMultimode Control and Simulation of 6-DOF Robotic Arm in ROS
The paper proposes the design and simulation of a 6 Degree of Freedom (DOF) robotic arm, tailored for the coconut crop harvesting, assistive robots like wheelchairs and Home robots, Search and rescue robots for disastrous environments, Collaborative robots for research use. A kinematics-based solution has been developed for the robotic arm which makes it easier…
Read MoreAnalysis of Local Rainfall Characteristics as a Mitigation Strategy for Hydrometeorology Disaster in Rain-fed Reservoirs Area
The Gembong reservoir in Pati Regency, Java, Indonesia is a rain-fed reservoir, which experiences a depletion of it carrying capacity. The characteristic of local rainfall is one of the important factors in assessing the potential of hydrometeorology disasters in its area. Sedimentation in watersheds and reservoirs has covered water sources, so local rainfall determines the…
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 MoreController Design Using Backstepping Algorithm for Fixed-Wing UAV with Thrust Vectoring System
This paper describes the design method of a nonlinear flight controller for a fixed-wing UAV with a thrust vectoring system (TVS) using the backstepping method. The flight dynamics of the UAV exhibits strong nonlinear coupling behavior between its translational and rotational motion. The backstepping algorithm has been successfully applied to controller design for such a…
Read MoreTrajectory Tracking Control of a DC Motor Exposed to a Replay-Attack
This paper investigates the trajectory tracking control (TTC) problem of a networked control system (NCS) against a replay-attack. The impact of data packet dropout and communication delay on the wireless network are taken into account. A new mathematical representation of the NCS under network issues (packet dropout, delay, and replay-attack) is proposed, the resulting closed-loop…
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…
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