Browsing by Author "Bettemir, Onder Halis"
Now showing 1 - 3 of 3
- Results Per Page
- Sort Options
Article Design and Manufacture of a Small Scale Autonomous Construction Machine for Grading(Gazi Univ, Fac Engineering Architecture, 2013) Bettemir, Onder Halis; Tombaloglu, BurakDesign and manufacture phases of a small scale construction machine developed for shoveling and grading operations are described. Once the coordinates and height of the field are defined, the machine executes grading operation without needing any additional command. The machine detects position of its dozer blade by a situated precise positioning receiver and determines the necessary maneuvers to fulfill the next time step of the grading operation with its artificial intelligence algorithm. Artificial intelligence software computes the operation duration of electric motors to execute the maneuvers and sends this information to the main control unit. Main control unit executes the received commands by operating the corresponding electric motors.Article A Hybrid Genetic Algorithm for the Discrete Time-Cost Trade-Off Problem(Pergamon-elsevier Science Ltd, 2012) Sonmez, Rifat; Bettemir, Onder HalisIn this paper we present a hybrid strategy developed using genetic algorithms (GAs), simulated annealing (SA), and quantum simulated annealing techniques (QSA) for the discrete time-cost trade-off problem (DTCTP). In the hybrid algorithm (HA), SA is used to improve hill-climbing ability of GA. In addition to SA, the hybrid strategy includes QSA to achieve enhanced local search capability. The HA and a sole GA have been coded in Visual C++ on a personal computer. Ten benchmark test problems with a range of 18 to 630 activities are used to evaluate performance of the HA. The benchmark problems are solved to optimality using mixed integer programming technique. The results of the performance analysis indicate that the hybrid strategy improves convergence of GA significantly and HA provides a powerful alternative for the DTCTP. (c) 2012 Elsevier Ltd. All rights reserved.Article Prediction of Georeferencing Precision of Pushbroom Scanner Images(Ieee-inst Electrical Electronics Engineers inc, 2012) Bettemir, Onder HalisThe precision of georeferencing of pushbroom satellite images without using ground control points is estimated. The study includes what-if scenarios for various precisions of star trackers, GPS receivers, image acquisition timing, interior camera parameters, and digital elevation model (DEM). Moreover, the effects of satellite altitude and sensor positions on the pushbroom array are also taken into account. The probability distribution function of the input parameters is determined by considering the sensor characteristics, environmental effects, and assumptions. The precision of the georeferenced coordinates is estimated by Monte Carlo simulation and differential sensitivity analysis. The analyses provide the most probable georeferenced coordinates and their precision for a certain precision of sensors and imaging geometry. The study is conducted based on the BilSAT orbit and SPOT 5 and Landsat optical system characteristics. An Shuttle Radar Topography Mission (SRTM) DEM and a DEM obtained from stereo images are used in georeferencing.
