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Development of fats based on olive oil by chemical interesterification and its utilization in cookie production

Kaçar D. | Erinç H. | Sivri Özay D.

Article | 2018 | Acta Alimentaria47 ( 2 ) , pp.154 - 161

Refined olive oil (ROO) was blended with tristearin (TS) and palm oil (PO) at two different ratios (ROO:TS:PO; 75:15:10 and 85:10:5) and chemical interesterification was performed in order to produce two interesterified fats (IF1 and IF2) with high unsaturated fatty acids and low trans fatty acids contents. Solid fat content (SFC), slip melting point (SMP), and fatty acid composition were determined in IF1 and IF2; the values were compared to that of partially hydrogenated industrial cookie shortening (ICS). Higher SMP was measured in interesterified fats contaning 75% ROO (IF1) and lower SMP was obtained in interesterified fats con . . .taining 85% ROO (IF2). SFC values of interesterified ROO blended oils were lower than ICS. Interesterified fats were used for cookie production, and cookie quality parameters, including oxidation stability, were determined. Results showed that hardness values of cookies were not affected by fat types and higher spread ratios and lighter colors were obtained. IF1 and IF2 had higher total oxidation values as compared to ICS. © 2018 Akadémiai Kiadó, Budapest Daha fazlası Daha az

QUANTITATIVE ASSESSMENT OF DIGITAL TOPOGRAPHIC DATA FROM DIFFERENT SOURCES

Yastikli, N. | Esirtgen, F. | Sefercik, U. G.

Conference Object | 2011 | ISPRS HANNOVER WORKSHOP 2011: HIGH-RESOLUTION EARTH IMAGING FOR GEOSPATIAL INFORMATION39-4 ( W19 ) , pp.369 - 373

This study includes the quantitative assessment of digital topographic data of the terrain from photogrammetric methods, satellite imaging and RADAR techniques in test side in Istanbul. The side area covers 10 x 10 km(2) and includes five different land cover types. The 3 m sampled DEM, which was produced by 1/1000 scaled photogrammetric maps is used as reference and tested against the 94 Ground Control Points (GCP). The 5 m and 30 spacing DEMs derived from 1/5000 scaled photogrammetric maps are used as test data sets as well as 20 m spacing SPOT DEM and 80 m spacing ASTER DEM. Besides, 90 m spacing DEM generated from InSAR techniqu . . .e with SRTM mission was also used as test data. The quantitative assessment of all DEMs were performed and reported based on FEMA and NDEP specifications. The quantitative assessment was carried out for open terrain (%19), forest (%15), built-up areas (%32), scrub and bushes (%26), and rough terrain (%8). The accuracy assessment and quality analyses had been conducted for each terrain classes to reflect the quality with more suitable approach. The 3 m spacing reference DEM is tested against the 94 GCP and obtained Root Mean Square Error (RMSE) for Z was in the range of 0.85 m (open terrain) to 1.94 m (rough terrain) for different terrain classes and 1.45 m using all terrain classes. The more than 20 GCP was available for each terrain classes for quantitative assessment of DEMs. As a result of quantitative assessment, RMSE Z of tested DEMs from photogrammetric methods, satellite imaging and RADAR techniques were computed for each land cover types based on international standards. It is no surprise that, the DEM from photogrammetry were more accurate than the DEM from satellite imaging (SPOT, ASTER) and RADAR (SRTM). As expected, open terrains have better results than the other classes like forest, scrub, built-up and rough terrain for all DEMs. The accomplished results of the quantitative assessment demonstrated the importance of the data source, resolution, and production methods of DEMs. The terrain class is important factor and can not be disregarded in quantitative assessment of digital topographic data Daha fazlası Daha az

Contribution of normalized DSM to automatic building extraction from HR mono optical satellite imagery

Sefercik U.G. | Karakis S. | Bayik C. | Alkan M. | Yastikli N.

Article | 2014 | European Journal of Remote Sensing47 ( 1 ) , pp.575 - 591

Building extraction from high resolution (HR) satellite imagery is one of the most significant issue for remote sensing community. Manual extraction process is onerous and time consuming that's why the improvement of the best automation is a crucial topic for the researchers. In this study, we aimed to expose the significant contribution of normalized digital surface model (nDSM) to the automatic building extraction from mono HR satellite imagery performing two-step application in an appropriate study area which includes various terrain formations. In first step, the buildings were manually and object-based automatically extracted f . . .rom ortho-rectified pan-sharpened IKONOS and Quickbird HR imagery that have 1 m and 0.6 m ground sampling distances (GSD), respectively. Next, the nDSM was created using available aerial photos to represent the height of individual non-terrain objects and used as an additional channel for segmentation. All of the results were compared with the reference data, produced from aerial photos that have 5 cm GSD. With the contribution of nDSM, the number of extracted buildings was increased and more importantly, the number of falsely extracted buildings occurred by automatic extraction errors was sharply decreased, both are the main components of precision, completeness and overall quality Daha fazlası Daha az

Quality Assurance In The European Higher Education Area

Kecetep, Ilker | Ozkan, Idil

Conference Object | 2014 | 4TH WORLD CONFERENCE ON LEARNING TEACHING AND EDUCATIONAL LEADERSHIP (WCLTA-2013)141 , pp.660 - 664

The concepts of quality and quality assurance day by day gain importance and become more popular in the world especially in developed countries about products and services. Bologna process aims to set up European Higher Education Area and one of the most important goals of this process is to make European Higher Education competitive, transparent, diversified and leader in the world by having high quality higher education which produce sustainable socio-economic developments in the area and in the world. It is certain that developing a good working Quality Assurance system in the European Higher Education Area will make European Hig . . .her Education more competitive and strong in the world because Quality Assurance provides and guarantees high quality in teaching & learning, research etc. and it also leads to increase of student mobility by mutual degrees recognition and comparability thus it is obvious that Quality Assurance in the European Higher Education is a must and it should not be performed just as a mandatory technical work to comply with the resolutions of the Area. This study first of all will look into the concepts of quality and quality assurance then it will provide necessary and deeper understanding and information on quality assurance in European Higher Education Area and will talk about how to develop quality assurance system and effects of quality assurance on European Higher Education Area. (C) 2014 The Authors. Published by Elsevier Ltd Daha fazlası Daha az

QUALITY ASSESSMENT OF HIGH RESOLUTION RADAR DSMs

Sefercik, Umut G. | Jacobsen, Karsten

Conference Object | 2010 | MODELING OF OPTICAL AIRBORNE AND SPACE BORNE SENSORS38-1 ( W17 ) , pp.660 - 664

Radar remote sensing has a significant role in remote sensing technologies and develops rapidly. A series of new synthetic aperture radar (SAR) satellites has been launched to space having various operation modes which offer different resolutions and advantages. A very actual SAR satellite is German TerraSAR-X (TSX), launched on 15th June 2007. This satellite is a revolution for the SAR technologies at the resolution side and offers 1m ground resolution in Spotlight mode. To investigate the quality of digital surface models (DSM) which are derived from high resolution data of this satellite, a comparison has been made to a DSM based . . . on optical space images taken by IKONOS. For the test DSMs have been generated with the SAR and the optical data covering parts of Istanbul, Turkey and are compared with a more accurate DEM of same area, based on aerial photogrammetry. This was leading to the result, that the high resolution Spotlight mode TSX model has nearly the same visual quality and absolute accuracy as the IKONOS model and has a slightly better relative accuracy Daha fazlası Daha az

Validation of Sentinel-1A and AW3D30 DSMs for the Metropolitan Area of Istanbul, Turkey

Sefercik U.G. | Buyuksalih G. | Atalay C. | Jacobsen K.

Article | 2018 | PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science86 ( 03.Apr ) , pp.141 - 155

In space-borne remote sensing, one of the most significant tasks is the three-dimensional (3D) surface modelling performance of optical and synthetic aperture radar (SAR) satellite missions. In this study, the quality of Sentinel-1A (S-1A) and Advanced Land Observing Satellite (ALOS) World 3D 30 m (AW3D30) Digital Surface Models (DSMs) was comprehensively analysed. In addition, 1 arcsec Shuttle Radar Topography Mission (SRTM) C-band DSM was validated for better interpretation of the results. A project area including various land cover classes was selected in Istanbul, where a reference airborne laser scanning DSM is available. Optim . . .al S-1A interferometric wide (IW) swath SAR pairs were determined and a 15 m gridded DSM was generated by interferometric processing. AW3D30 and SRTM DSMs were obtained from JAXA and NASA. In the analysis, the absolute and relative vertical accuracies of the DSMs were validated for all land cover classes with a model-to-model comparison to the reference. In addition, the influence of terrain tilt was investigated using a threshold terrain inclination of tan-10.1 (5.7°). Height differences from the reference were visualized by colour-coded height error maps. Vertical profiles and contour lines showed the morphologic character of the DSMs. The results demonstrated that the absolute vertical accuracies and morphologic details of AW3D30 are superior to those of S-1A and SRTM. © 2018, Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V Daha fazlası Daha az

Performance Estimation of Aster Global DEM Depending upon the Terrain Inclination

Sefercik U.G.

Article | 2012 | Journal of the Indian Society of Remote Sensing40 ( 4 ) , pp.565 - 576

A digital elevation model (DEM) is a source of immense three dimensional data revealing topographic characteristics of any region. The performance of a DEM can be described by accuracy and the morphologic conformity. Both depend upon the quality of data set, the used production technique and the roughness of the terrain. The global DEM of ASTER (Advanced Space-borne Thermal Emission and Reflection Radiometer) was released to public utilization as free of charge on June 2009. It covers virtually overall the globe using 1 arc-second posting interval. Especially easy availability renders ASTER Global DEM (GDEM) one of the most popular . . .and considerable global topographic data for scientific applications. From this point of view, the performance of ASTER GDEM has to be estimated for different kinds of topographies. Accordingly, six test fields from Spain (Barcelona) and Turkey (Istanbul and Zonguldak) have been preferred depending upon the terrain inclination. Thus, the advantages and disadvantages of the DEM product have been proved by means of a group of advanced performance analysis. The analyses indicate that the performance of ASTER GDEM is quite satisfying at urban areas because of flat topography. On the other hand, terrain slope has negative effect on the results. Especially steep, mountainous, forestry topographic formations and the regions which have sudden changes at the altitude have lower accuracy. © 2012 Indian Society of Remote Sensing Daha fazlası Daha az

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