Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleAçık Erişim2019Scopus SJRQ2Resource- and content-aware, scalable stitching framework for remote sensing images
Eken, Süleyman; Mert, Ümit; Koşunalp, Selahattin; Sayar, Ahmet
This paper proposes a new approach to solving the scalability problem in stitching and registration of satellite images. The image stitching process is mostly utilized to capture an image of an entire object, whose parts fall in separate but overlapping mosaics. Due to their high resolutions and huge sizes, the stitching of satellite mosaic images is time- and resource-consuming process. The work presented in this paper proposes a resource- and content-aware, scalable stitching technique. The main idea is based on measuring and assessing the available hardware resources of the machine, on which stitching process runs, and scaling the resolution of the images accordingly. Moreover, preprocessing is not needed, and the adjustment is performed dynamically at run time. The effectiveness of the proposed technique was assessed by partially registering overlapping satellite mosaic images of the island of Cyprus and Lake Van. The scalability tests are performed on varying numbers and sizes of the overlapping LandSat-8 satellite images.
AtıfScopus8WoS6OpenAlex8
İncele - MakaleAçık Erişim2018A New Energy Prediction Algorithm for Solar-Powered Systems
Koşunalp, Selahattin
Renewable energy sources can provide the energy requirements of resource-constrained systems due to their inherent continuous availability. Solar power is a good example of the most effective ambient energy source. In literature, it exhibits an uncontrollable but predictable manner which makes the prediction of future energy availability a critical issue. This study presents a new approach to estimate the amount of energy that will available in future, depending on the past energy generation pattern. This approach also considers the fluctuations in energy generation in the current day. It is inspired by a wellknown algorithm, namely Exponential Weighted Moving-Average (EWMA). The performance of the proposed scheme has been tested on various real-world scenarios in comparison to EWMA. The simulation results show that our algorithm provide more accurate estimation of future energy availability than EWMA.
AtıfOpenAlex2TR Dizin1
İncele