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Keyword: ModelingThe Fusing Framework Between Lifting Carrier and Tractor-Trailer for Modern Transportation
The integrating model becomes one of key trends in engineering design. The more the product has functional specifications, the more the industrial consumer apply in many fields. In this paper, a fusion design of architecture platform for autonomous system is demonstrated. It is greater due to combining the specifications of various types in commercial market…
Read MorePredictive Modelling of Student Dropout Using Ensemble Classifier Method in Higher Education
Currently, one of the challenges of educational institutions is drop-out student issues. Several factors have been found and determined potentially capable to stimulate dropouts. Many researchers have been applied data mining methods to analyze, predict dropout students and also optimize finding dropout variables in advance. The main objective of this study is to find the…
Read MoreMulti-Restricted Area Avoidance Scenario Using Hybrid Dynamical Model and Its Predictive Controller
This article is addressed to show the results of hybrid dynamical modeling in the form of PWA (piecewise-affine) and equivalent MLD (mixed-logical dynamical) model for multi-restricted areas avoidance of an autonomous system. It is a problem of determining the optimal moving trajectory from plant’s initial position to some desired position while avoiding some restricted areas…
Read MoreEmulation of Bio-Inspired Networks
The paper deals with hardware emulation of bio-inspired devices and nonlinear dynamic processes of complex nature by means of mixed-mode analog-digital emulators. The discretized state model of the emulated system serves for real-time calculation of dependent quantities. In contrast to input-output emulation known in control systems, the proposed approach emulates the ports of an electrical…
Read MoreEarly Detection of Alzheimer’s Using Digital Image Processing Through Iridology, An Alternative Method
Over the years, alternative medicine has carried out numerous systematic studies related to the ophthalmological field, specifically the eye. Studies that propose as support of analysis to the Iridology, which studies the alterations of the iris in correspondence with the organs of the human body. Thus, it presents the opportunity to investigate neuronal diseases related…
Read MoreAnalysis of Fuzzy Data for the Selection of Ingredients of the Polymer Composition by Technical Functions in Quality Management
The task of fuzzy mathematical modeling of the composition of a polymer composition is singled out and formulated, as one of the types of chemical-technological systems for creating the theoretical foundations for managing the physicochemical properties of the material produced from this composition. Fuzzy data on the technical functions and concentration of individual ingredients that…
Read MoreFlame Distribution and Attenuation in Narrow Channels Using Mathematical Software
The article of given research presents the mathematical and computer modeling of flame attenuation in narrow channels for different fire extinguishing and explosion suppression compositions. Such kind of flame distribution and attenuation could be considered for different media and channels but in this case it was considered for narrow channels. The effect on the combustion…
Read MoreA Formal Ontology-based Framework Towards an Intelligent Temporal Scheduler
Time scheduling as seen in timetabling processes with few and/or competing resources has exposed complex interoperable time scheduling. Attempts to resolving these time scheduling processes has been undertaken, using several classical methods, with difficulty due to inherent complexities, constraints and conflicting issues. The use of ontology-based approaches to resolve time complexity is recently adopted due…
Read MoreState Estimation based Echolocation Bionics and Image Processing based Target Pattern Recognition
This paper deals with the theoretical aspect of bat echolocation and bionics, and image processing-based target recognition and identification methods. The state estimation methods utilizing the linear rustic filters such as fixed gain and Kalman filters are studied and implemented for echolocation bionics for estimating the LOS distance. A complete mathematical modeling and simulation of…
Read MoreTwo Degree-of-Freedom Vibration Control of a 3D, 2 Link Flexible Manipulator
Considering link vibrations, the main limitation affecting flexible manipulators, this article seeks to make a contribution by presenting an enhanced two degree of freedom vibration controller. This controller uses a filtered right inverse controller in the feedforward and strain feedback controller in the feedback path. The Filtered inverse controller damps transient vibrations while preserving joint…
Read MoreA Practical Approach for Extending DSMLs by Composing their Metamodels
Domain specific modeling (DSM) has become popular in the software development field during these last years. It allows to design an application using a domain specific modeling language (DSML) and to generate an end-solution software product directly from models. However providing a new DSML is a complex and costly job. This can be reduced by…
Read MoreAttitude Control Simulation of a Legged Aerial Vehicle Using the Leg Motions
To gather information rapidly in disaster sites, a lot of search/rescue robots have been developed. It is difficult to correspond to the complicated environment composed of fields requiring various locomotion strategies, because most of these robots have only one type of locomotion device. To increase the available search routes under such conditions with the aim…
Read MoreUsing Nullors to Modify Linear Model Parameters of Transistors in an Analog Circuit
Usually, after properly biasing an analog circuit we need to linearize its transistors in order to linearize the entire circuit for performance analysis and design. This linearization is done through modeling of devices, which is becoming more and more complicated as the electronic technology advances. This is not of course a major issue for circuit…
Read MoreA Comparative Analysis of two Controllers for Trajectory Tracking Control: Application to a Biological Process
The aim of the present work is to guarantee the trajectory tracking of a nonlinear biological process and compare two control approaches. The main objective of this work is to elaborate a fuzzy model and build a fuzzy controllers for a biological process by using the fuzzy Takagi-Sugeno. Two controllers are synthesized, the parallel distributed…
Read MoreSimulation Strategy to Enhance Oxygen Uptake and Reaction Forces at Leg Joints and Vertebral Bodies During Ergometer Exercise Under Altered Gravity
Moderate exercise has been implemented in spaceflight programs to prevent muscle and joint damage under extreme circumstances such as microgravity. Although the physical effects of exercise have been investigated experimentally, advanced modeling and simulation techniques are powerful tools that could provide insight into the physical limitations, optimal conditions, and mechanisms that might lead to muscle…
Read MoreRevealing Strengths, Weaknesses and Prospects of Intelligent Collaborative e-Learning Systems
The rapid evolution of Collaborative e-Learning Systems migrates to the use of new technologies such the artificial intelligence (AI). In this context, the role of AI in increasing the quality of learning and making it more productive, persistent and efficient. In addition, it can accomplish repetitive and complex tasks in record time and unmatched accuracy.…
Read MoreDesign and Implementation of Closed-loop PI Control Strategies in Real-time MATLAB Simulation Environment for Nonlinear and Linear ARMAX Models of HVAC Centrifugal Chiller Control Systems
The objective of this paper is to investigate three different approaches of modeling, design and discrete-time implementation of PI closed-loop control strategies in SIMULINK simulation environment, applied to a centrifugal chiller system. Centrifugal chillers are widely used in large building HVAC systems. The system consists of an evaporator, a condenser, a centrifugal compressor and an…
Read MoreSignal-Based Metamodels for Predictive Reliability Analysis and Virtual Testing
In the current industrial development, an increasing number of sensors is applied for monitoring of any kind of appliances and machines. A predictive mathematical model allows for realistic assessment of the health state of the appliance, indication of service requirements, as well as control of the appliance, serving as so-called digital twin on a control…
Read MoreThe Use of LMS AMESim in the Fault Diagnosis of a Commercial PEM Fuel Cell System
The world’s pollution rates have been increasing exponentially due to the many reckless lifestyle practices of human beings as well as their choices of contaminating power sources. Eventually, this lead to a worldwide awareness on the risks of those power sources, and in turn, a movement towards the exploration and deployment of several green technologies…
Read MoreModelling of the resistance heating of the moving molybdenum sheet
This article describes the modeling procedure of a direct resistive heat model of the molybdenum sheet and its simulation with electrodes made from various materials. The main characteristic of the proposed model is its dynamic behavior, because model considers the movement of the molybdenum sheet. The simulation results are mutually compared and the optimal material…
Read MoreModels accounting for the thermal degradation of combustible materials under controlled temperature ramps
The purpose of this conference is to present and analyze di_erent models accounting for the thermal degradation of combustible materials (biomass, coals, mixtures…), when submitted to a controlled temperature ramp and under non-oxidative or oxidative atmospheres. Because of the possible rarefaction of fossil fuels, the analysis of di_erent combustible materials which could be used as…
Read MoreApplying Machine Learning and High Performance Computing to Water Quality Assessment and Prediction
Water quality assessment and prediction is a more and more important issue. Traditional ways either take lots of time or they can only do assessments. In this research, by applying machine learning algorithm to a long period time of water attributes’ data; we can generate a decision tree so that it can predict the future…
Read MoreDistributing the computation in combinatorial optimization experiments over the cloud
Combinatorial optimization is an area of great importance since many of the real-world problems have discrete parameters which are part of the objective function to be optimized. Development of combinatorial optimization algorithms is guided by the empirical study of the candidate ideas and their performance over a wide range of settings or scenarios to infer…
Read MoreControl of a three-stage medium voltage solid-state transformer
This paper proposes the modeling and control of a Solid-State Transformer using a three-stage conversion topology. First, a rectification stage is used, where a three-phase high-voltage AC signal is converted to a DC level; this stage is then followed by a DC-DC converter, and finally an inverter is used to convert the DC into a…
Read MoreImproved Hybrid Opponent System for Professional Military Training
Described herein is a general-purpose software engineering architecture for autonomous, computer controlled opponent implementation in modern maneuver warfare simulation and training. The implementation has been developed, refined, and tested in the user crucible for several years. The approach represents a hybrid application of various well-known AI techniques, including domain modeling, agent modeling, and object-oriented programming.…
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