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Article Citation - WoS: 8Citation - Scopus: 15Identification of Linear Handling Models for Road Vehicles(Taylor & Francis Ltd, 2008) Arikan, K. B.; Unlusoy, Y. S.; Korkmaz, I.; Celebi, A. O.This study reports the identification of linear handling models for road vehicles starting from structural identifiability analysis, continuing with the experiments to acquire data on a vehicle equipped with a sensor set and data acquisition system, and ending with the estimation of parameters using the collected data. The model structure originates from the well-known linear bicycle model that is frequently used in handling analysis of road vehicles. Physical parameters of the bicycle model structure are selected as the unknown parameter set that is to be identified. Global identifiability of the model structure is analysed, in detail, and concluded according to various available sensor sets. Physical parameters of the bicycle model structure are estimated using prediction error estimation method. Genetic algorithms are used in the optimisation phase of the identification algorithm to overcome the difficulty in the selection of initial values for parameter estimates. Validation analysis of the identified model is also presented. The identified model is shown to track the system response successfully.Article A New Model for Indoor Propagation Prediction Using Genetic Algorithm(Ieice-inst Electronics information Communications Eng, 2008) Aydin, ElifIn this study, a new, simple and accurate computation of the received signal strength (RSS) level for indoor environment is performed. The genetic algorithm (GA) approach is used for prediction of the RSS. The proposed model is formed on the knowledge of measurements without requiring any detail of the environment. The model provides a time efficient method to estimate RSS dynamically at any location in the test environment. The accuracy of the measurement results and the genetic algorithm approach are presented for three distinct transmitters located at different positions.Article Citation - WoS: 19Citation - Scopus: 27Modelling and Optimisation of an 8 X 8 Heavy Duty Vehicle's Hydro-Pneumatic Suspension System(inderscience Enterprises Ltd, 2016) Kucuk, Kahraman; Yurt, Hunkar Kemal; Arikan, Kutluk Bilge; Mrek, HuseyinIn this paper, modelling of the hydro-pneumatic suspension (HPS) system of a heavy duty vehicle that has all-wheel steering and driving capability is studied. The prototype vehicle of concern is a mobile telescopic crane. The spring and damper effects of the HPS, which is used generally in heavy commercial vehicles and in military vehicles, have been modelled separately. First, HPS dynamics is studied on 1/8 vehicle model and then vehicle dynamics is examined on the MSC ADAMS/Car model. HPS of the prototype vehicle is assessed by some objective functions. In addition, simulation-based optimisation is performed using a 1/8 vehicle model. Various designs are obtained and their performances are compared with that of the prototype vehicle's HPS by the ADAMS/Car model simulations. Modelling and optimisation studies reveal a sound background to improve the prototype vehicle and to design active HPS system.Article Citation - WoS: 6Citation - Scopus: 9Design and Optimization of Piezoelectric-Powered Portable Uv-Led Water Disinfection System(Mdpi, 2021) Sala, Derda E.; Dalveren, Yaser; Kara, Ali; Derawi, MohammadDue to the environmental pollution threatening human life, clean water accessibility is one of the major global issues. In this context, in literature, there are many portable water disinfection systems utilizing ultraviolet (UV) radiation. UV water disinfection systems employ piezoelectric-based electric power along with UV light-emitting diode (LED) sources. This paper elaborates on the detailed design and parametric optimization of a portable UV disinfection system. The proposed system aims to generate piezoelectric harvesting-based electrical power simply by shaking, and the generated power is then used to supply UV-LEDs for water disinfection. To this end, overall system parameters along with a physical-mathematical model of mechanical, electrical and biochemical aspects of the system are fully developed. Moreover, the main design parameters of the developed model are derived for optimal operation of the system by employing Genetic Algorithm (GA). Finally, optimal design parameters were identified for three different cost scenarios. The model can further be improved for practical implementation and mass production of the system.Article Citation - WoS: 2Citation - Scopus: 2Optimizing Three-Dimensional Trade-Off Problem of Time-Cost Over Multi-Mode Projects With Generalized Logic(Mdpi, 2024) Aminbakhsh, Saman; Abdulsattar, Abdulrahman M.Clients typically tend to aim for reasonable prices, minimum possible makespans, and the best quality for the construction projects that they engage in. Evidently, weighing the available offers and coming up with an optimal decision can pose challenges for the decision makers. In this regard, the generation of a tool that helps decision makers strike a proper balance among the conflicting project objectives (i.e., time, cost, and quality) is imperative. To this end, this study proposes a method which assists in the selection of the best compromise choices among the options available for each of the project activities. In addition to the time and cost, the proposed method is designed to bring the quality aspect into the equation as well. To quantify the quality, a value referring to the weighted importance and performance of each activity is used. The proposed method is based on a modified multi-objective genetic algorithm (GA) that incorporates the domination concept for the selection of the best solutions out of the potential candidates. The GA-based method is capable of handling an unlimited number of precedence relationships for each activity, and above all, it is able to capture and unravel any type of logical relationship. This very feature significantly improves the practical relevance of this research, as the parallelization of activities is a common practice in real-life projects. Planners benefit from the various types of relationships (i.e., Start to Start, Start to Finish, Finish to Start, and Finish to Finish), and the concept of lag time frequently introduces parallelization into the network. Overlapped activities, in turn, help reduce the unwanted idle times and speed up the project significantly. Accordingly, in order to demonstrate the application and effectiveness of the proposed model, it has been used in the solution of four time-cost-quality (TCQ) trade-off problems, three of which are generated within the context of this paper. The practiced instances include a small benchmark TCQT problem with 18 activities taken from the literature in addition to more complex 29- and 63-activity TCQTPs produced herein based on benchmark time-cost trade-off problems. The performance of the presented approach is ultimately examined over a large-scale, real-case construction project with over four hundred activities and generalized logic in an unprecedented attempt to validate a model in the realm of TCQTPs. The successful results of the experiments reveal the effectiveness of the proposed model and corroborate the feasibility of its application by the planners amidst arduous decision-making processes.Article Citation - WoS: 4Citation - Scopus: 4Genetic Algorithm Approach To Estimate Radar Cross Section of Dielectric Objects(Ieice-inst Electronics information Communications Eng, 2003) Aydin, E; Nakiboglu, KC; Department of Electrical & Electronics EngineeringGenetic algorithm (GA) is a widely used numerical technique to simplify some analytical solutions in electromagnetic theory. Genetic algorithms can be combined with the geometric optics method to tackle electromagnetic scattering problems. This paper presents an extrapolation procedure, which derived, as a first step, a functional representation of the radar cross section (RCS) of three different dielectric objects that was computed via the Mie solution or the method of moments (MOM). An algorithm was employed to fit the scattering characteristics of dielectric objects at high frequencies.
