A Linear programmimg based computational procedure for production scheduling in job-shops with negligible set-up times.

Denizel, E Meltem


A Hybrid building extraction algorithm based on multilevel segmentation and boundary simplification
Yarkınoğlu Gücük, Oya; Düzgün, H. Şebnem; Department of Geodetic and Geographical Information Technologies (2017)
Building footprints have an important role in urban planning, infrastructure development, climate studies and disaster management. The precise knowledge of buildings serves as a primary source for interpreting complex urban characteristics and also helps decision makers with more realistic urban management. In this thesis, the building boundary extraction including a hybrid approach is proposed. Firstly, normalized Digital Surface Model (nDSM) of the study area is generated from aerial Light Detection and R...
A forward prediction based out of sequence measurement processing method for Kalman and IMM filtering
Erel, Ozan; Orguner, Umut; Department of Electrical and Electronics Engineering (2022-12-13)
Processing measurements from the same target which arrive at the processing center not in the order they were obtained (i.e., out of sequence) due to delayed communications is a challenging (OOSM) problem in target-tracking applications. If this problem is not given special care, the quality of the tracking may degrade rather than improve. Therefore, this thesis is focused on the study of forward prediction based OOSM processing methods for linear Gaussian systems and their extension for jump Markov linear ...
A Similarity Based Oversampling Method for Multi-Label Imbalanced Text Data
Karaman, İsmail Hakkı; Köksal, Gülser; Erişkin, Levent; Department of Industrial Engineering (2022-9-1)
In the real world, while the amount of data increases, it is not easy to find labeled data for Machine Learning projects, because of the compelling cost and effort requirements for labeling data. Also, most Machine Learning projects, especially multi-label classification problems, struggle with the data imbalance problem. In these problems, some classes, even, do not have enough data to train a classifier. In this study, an over sampling method for multi-label text classification problems is developed and s...
A behavior based robot control system architecture for navigation environments with randomly allocated walls
Altuntaş, Berrin; Alpaslan, Ferda Nur; Department of Computer Engineering (2003)
Integration of knowledge to the control system of a robot is the best way to emerge intelligence to robot. The most useful knowledge for a robot control system that aims to visit the landmarks in an environment is the enviromental knowledge. The most natural representation of the robot2s environment is a map. This study presents a behavior based robot control system architecture that is based on subsumption and motor schema architectures and enables the robot to construct the map of the environment by using...
A clustering algorithm that maximizes throughput in 5G heterogeneous F-RAN networks
Balevi, Eren; Gitlin, Richard D. (2018-07-27)
© 2018 IEEE.In this paper, a clustering algorithm is proposed that dynamically determines the locations of fog nodes in 5G wireless networks, which are upgraded from small cells, in order to maximize throughput assuming the number of fog nodes and small cells are given as a priori information. The proposed algorithm dynamically clusters the small cells around the fog nodes. The approach is based on a soft clustering model where one small cell can be connected to many fog nodes. The numerical results demonst...
Citation Formats
E. M. Denizel, “A Linear programmimg based computational procedure for production scheduling in job-shops with negligible set-up times.,” Middle East Technical University, 1986.