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Modeling a supply chain as a queuing system

Toktas-Palut, P. | Ülengin, F.

Conference Object | 2010 | IFAC Proceedings Volumes (IFAC-PapersOnline) , pp.242 - 247

This study investigates a two-stage supply chain consisting of multiple suppliers at the first stage and a manufacturer at the second stage. The suppliers and the manufacturer have limited production capacities. The system operates in a manufacture-to-order environment, i.e. the suppliers and the manufacturer employ make-to-stock and make-to-order strategies, respectively. The inventory of each component at each supplier is controlled via base stock policy. The aim of this study is to model the supply chain as a queuing system. Under the necessary assumptions, each supplier is modeled as an M / M /1make-to-stock queue. Moreover, the . . . average outstanding backorders and the average inventory level of each supplier are derived using the queuing model. On the other hand, the manufacturer is modeled as a GI / M /1 queue after deriving an approximate distribution for the interarrival times of the manufacturer. Furthermore, the average number of jobs in the manufacturer's system and the average outstanding backorders at the manufacturer are obtained using the queuing model. © 2010 IFAC Daha fazlası Daha az

Dirichlet problems for the generalized n-poisson equation

Aksoy, Ü. | Çelebi, A.O.

Conference Object | 2010 | Operator Theory: Advances and Applications205 , pp.129 - 141

Polyharmonic hybrid Green functions, obtained by convoluting polyharmonic Green and Almansi Green functions, are taken as kernels to define a hierarchy of integral operators. They are used to investigate the solvability of some types of Dirichlet problems for linear complex partial differential equations with leading term as the polyharmonic operator. © 2009 Birkhäuser Verlag Basel/Switzerland.

An integrative network based approach to analyze 2 diabetes

Coskunkan, B | Rende, D | Baysal, N | Kirdar, B

Conference Object | 2010 | NEW BIOTECHNOLOGY27 , pp.129 - 141

Vaterite bioceramics: Monodisperse CaCO3 biconvex micropills forming at 70°C in aqueous CaCl2-gelatln-urea solutions

Tas, A.C.

Conference Object | 2010 | Ceramic Engineering and Science Proceedings30 ( 6 ) , pp.139 - 151

Calcium carbonate microparticles with a unique biconvex pill shape were produced by simply ageing the prerefrigerated (4°C, 24 h) CaCl 2-gelatin-urea solutions at 70°C for 24 h in glass media bottles. Gelatin is known to be the denatured collagen. Thermal decomposition of dissolved urea was exploited to provide the Ca2+ ion and gelatin-containing solutions with aqueous carbonate ions. Monodisperse CaCO 3 micropills formed in solution had the mean particle size of 4±2.5 µm. CaCO3 micropills were typically biphasic in nature and consisted of 93% vaterite and 7% calcite. Identical solutions used without prerefrigeration yielded only tr . . .igonal prismatic calcite crystals upon ageing at 70°C for 24 h. Prerefrigeration of CaCl2-gelatin-urea solutions was thus shown to have an unusual effect on the particle morphology. Samples were characterized by scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR) and powder X-ray diffraction (XRD) Daha fazlası Daha az

Binary and ternary coded structured light 3D scanner for shiny objects

Benveniste, R. | Ünsalan, Cem

Conference Object | 2010 | Lecture Notes in Electrical Engineering62 LNEE , pp.241 - 244

Three dimensional range data provides useful information for computer vision, computer graphics, and object recognition applications. For these, extracting the range data reliably is utmost important. Therefore, various range scanners based on different operating principles are proposed in the literature. Although these scanners can be used in diverse applications, most of them cannot be used to scan shiny objects under ambient light. This is a severe restriction. We propose color invariant based binary and ternary coded structured light range scanners to solve this problem. We hypothesize that, by using color invariants we can elim . . .inate the effects of highlights and ambient light in the scanning process. Therefore, we can extract the range data of shiny and matte objects in a robust manner. We implemented three different range scanners to test our hypothesis. We performed tests on various objects and provided their range data. © 2011 Springer Science+Business Media B.V Daha fazlası Daha az

Priority encoding of image data in wireless multimedia sensor networks for border surveillance

Irgan, K. | Ünsalan, Cem | Baydere, Ş.

Conference Object | 2010 | Lecture Notes in Electrical Engineering62 LNEE , pp.191 - 194

25th International Symposium on Computer and Information Sciences, ISCIS 2010 -- 22 September 2010 through 24 September 2010 -- London -- 82255

Continuous perfomance test dysfunction in delusional disorder: an fMRI investigation

Akyuz, F | Oflag, S | Hamamci, A | Firat, Z | Cihangiroglu, M

Conference Object | 2010 | EUROPEAN NEUROPSYCHOPHARMACOLOGY20 , pp.99 - 99

Comparative transcriptome and proteome analysis for the effect of berberine

Ozbalci, C | Karaosmanoglu, K | Kurnaz, IA | Kazan, D | Akbulut, BS

Conference Object | 2010 | FEBS JOURNAL277 , pp.184 - 185

Segmentation of anatomical structures in brain MR images using atlases in FSL - A quantitative approach

Soldea, O. | Ekin, A. | Soldea, D.F. | Unay, D. | Çetin, M. | Erçil, A. | Cihangiroglu, M.

Conference Object | 2010 | Proceedings - International Conference on Pattern Recognition , pp.2592 - 2595

Segmentation of brain structures from MR images is crucial in understanding the disease progress, diagnosis, and treatment monitoring. Atlases, showing the expected locations of the structures, are commonly used to start and guide the segmentation process. In many cases, the quality of the atlas may have a significant effect in the final result. In the literature, commonly used atlases may be obtained from one subject's data, only from the healthy, or depict only certain structures that limit their accuracy. Anatomical variations, pathologies, imaging artifacts all could aggravate the problems related to application of atlases. In t . . .his paper, we propose to use multiple atlases that are sufficiently different from each other as much as possible to handle such problems. To this effect, we have built a library of atlases and computed their similarity values to each other. Our study showed that the existing atlases have varying levels of similarity for different structures. © 2010 IEEE Daha fazlası Daha az

Visualisation of burring operation in virtual surgery simulation

Onbasioglu, E. | Atalay, B. | Goularas, D. | Soydan, A.H. | Şafak, K.K. | Okyar, F.

Conference Object | 2010 | ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis, ESDA20101 , pp.805 - 812

Virtual reality based surgical training have a great potential as an alternative to traditional training methods. In neurosurgery, state-of-the-art training devices are limited and the surgical experience accumulates only after so many surgical procedures. Incorrect surgical movements can be destructive; leaving patients paralyzed, comatose or dead. Traditional techniques for training in surgery use animals, phantoms, cadavers and real patients. Most of the training is based either on these or on observation behind windows. The aim of this research is the development of a novel virtual reality training system for neurosurgical inter . . .ventions based on a real surgical microscope for a better visual and tactile realism. The simulation works by an accurate tissue modeling, a force feedback device and a representation of the virtual scene on the screen or directly on the oculars of the operating microscope. An intra-operative presentation of the preoperative three-dimensional data will be prepared in our laboratory and by using this existing platform virtual organs will be reconstructed from real patients' images. VISPLAT is a platform for virtual surgery simulation. It is designed as a patient-specific system that provides a database where patient information and CT images are stored. It acts as a framework for modeling 3D objects from CT images, visualization of the surgical operations, haptic interaction and mechanistic material-removal models for surgical operations. It tries to solve the challenging problems in surgical simulation, such as real-time interaction with complex 3D datasets, photorealistic visualization, and haptic (force-feedback) modeling. Surgical training on this system for educational and preoperative planning purposes will increase the surgical success and provide a better quality of life for the patients. Surgical residents trained to perform surgery using virtual reality simulators will be more proficient and have fewer errors in the first operations than those who received no virtual reality simulated education. VISPLAT will help to accelerate the learning curve. In future VISPLAT will offer more sophisticated task training programs for minimally invasive surgery; this system will record errors and supply a way of measuring operative efficiency and performance, working both as an educational tool and a surgical planning platform quality. © 2010 by ASME Daha fazlası Daha az

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