Istanbul Technical University

About: Istanbul Technical University is a education organization based out in Istanbul, Turkey. It is known for research contribution in the topics: Fuzzy logic & Large Hadron Collider. The organization has 12889 authors who have published 25081 publications receiving 518242 citations. The organization is also known as: İstanbul Teknik Üniversitesi & Technical University of Istanbul.

Spatial variations of climate indices in Turkey

Abstract: The present study explores the spatial variability of the continentality, oceanity and aridity indices in Turkey. Climatic indices are diagnostic tools used to describe climatic conditions and the state of a climate system. In this study, four indices were calculated using the climatic data from 229 meteorological stations in Turkey. The nature of the indices expresses general climatic features such as continentality, marine influences and aridity. The climatic indices used here are the Johansson Continentality (JC) Index, the Kerner Oceanity Index (KOI), the De Martonne Aridity Index (IDM) and the Pinna Combinative (PV) Index. Furthermore, aridity characteristics in Turkey have been examined using the two separate periods (1960–1990 and 1991–2006). To assess the temperature and precipitation patterns in Turkey, the climatic indices were calculated by using monthly temperature and precipitation for the period 1960–2006. According to the results of the KOI, marine climates characteristics were dominant in the Black Sea region than in its Aegean and Mediterranean region. The JC index is used for the climatic classification between continental and oceanic climates. The continental effect was found across 25% of the country. The maximum continentality with a score of 71.5 has been found in the eastern Anatolia. Furthermore, semi-dry areas were increasing in the 1991–2006 period compared to 1960–1990. A significant correlation was found between the values of the JC index and the KOI. The JC index gives reasonable results for Turkey. The continental effect was found across 25% of the country. This analysis may be of benefit for the explanation of landscape characteristics and the rational utilization of water resources, agriculture and energy scenarios for the region in many areas of Turkey. Copyright © 2010 Royal Meteorological Society

Optimization of shovel-truck system for surface mining

Abstract: Introduction In a surface mining operation, a materials handling system is composed of loading, hauling and dumping subsystems. Effective and efficient materials handling systems can be developed only through a detailed consideration of these subsystems in a systems analysis framework. The transport of material from production faces to dumping sites is accomplished by rail, truck, belt conveyor or hydraulic transport. Shovel-truck systems are most common in open pit mining. Two available techniques to analyse these systems, linear programming and queuing models, are used and compared in this study. The most important factor in every operation is profitability. Productivity of equipment used is an important factor of profitability. Profitability can be increased by optimization of the equipment combination used. Therefore the first goal in these models is to maximize productivity and hence increase production, which in turn will result in cost reduction. Studies conducted for the truck allocation were carried out by several authors. Muduli and Yegulalp (1999) studied the modelling truck-shovel systems as a closed queuing network with multiple job classes. Soumis et al. (1989) discussed the evaluation of the new truck dispatching in the Mount Wright mine using linear programming. Sgurev et al. (2003) studied an automated system for realtime control of the industrial truck haulage in open-pit mines. Alarie and Gamache (2002) studied the overview of solution strategies used in truck dispatching systems for open pit mines. Nenonen et al. (1981) used the interactive computer model for truck/shovel operations in an open pit mine; Ramani (1990) studied the haulage system simulation analysis in surface mining. Barnes et. al. (1972) studied the probability techniques for analysing open pit production systems. Carmichael (1986) applied cyclic queuing theory to determine the production of open-cut mining operations, and Koenigsberg (1982) used in his study some concepts of queuing theory. Shangyao et al. (2008) developed an integrated model that combines ready mixed concrete (RMC) production scheduling and truck dispatching in the same framework. Sabah et al. (2003) present a methodology based on the queuing theory, which is incorporated in a computer module to account for the uncertainties that are normally associated with the equipment selection process.

Photoinduced atom transfer radical polymerization using semiconductor nanoparticles.

Abstract: Photoinduced atom transfer radical polymerization of methyl methacrylate initiated by in situ generation of copper (I) complex from higher oxidation state species using neat zinc oxide and iron-doped zinc oxide nanoparticles is investigated. The polymerizations proceed in a well-controlled manner under UV light at room temperature as evidenced by kinetic and light on-off experiments. The evolution of molecular weight with conversion shows good correlations between experimental and theoretical molecular weights, which confirmed good control over polymerization along with a narrow molecular weight distribution.

Reconstruction and identification of τ lepton decays to hadrons and ντ at CMS

Abstract: This paper describes the algorithms used by the CMS experiment to reconstruct and identify tau to hadrons + tau neutrino decays during Run 1 of the LHC. The performance of the algorithms is studied in proton-proton collisions recorded at a centre-of-mass energy of 8 TeV, corresponding to an integrated luminosity of 19.7 inverse femtobarns. The algorithms achieve an identification efficiency of 50-60%, with misidentification rates for quark and gluon jets, electrons, and muons between per mille and per cent levels.