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An effective deep learning model for ship detection from satellite images
Aaqib Mehran,Samabia Tehsin,Muhammad Hamza 대한공간정보학회 2023 Spatial Information Research Vol.31 No.1
Detecting ships from satellite images is a challenging task in the domain of remote sensing. It is very important for security, traffic management and to avoid smuggling etc. SAR (Synthetic Aperture Radar) is mostly used technology for Maritime monitoring but now researchers are increasingly studying Optical Satellite Images based technologies. Image processing and Computer Vision techniques were previously used to detect ships. In this work, Convolutional Neural Network based approach is used to detect ships from the satellite imagery. Several Deep Learning models have been used and tested for this kind of task. We used state of art model Inception-Resnet that is pre trained on Image-Net dataset. We used the dataset "Ships in Satellite Imagery" to detect the presence of ships in an image. The dataset is publicly available on Kaggle. The results indicate adoption of transfer learning and data augmentation yields a successful detection of ships with an accuracy of more than 99%. Similarly, exploring different deep learning models for this task provide results with high accuracy for less training time.
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Efficiency Improvement of Organic Solar Cells Using Two-step Annealing Technique
Bilal Masood,Arsalan Haider,Tehsin Nawaz 한국전기전자재료학회 2016 Transactions on Electrical and Electronic Material Vol.17 No.3
The fullerene solar cells are becoming a feasible choice due to the advanced developments in donor materials andimproved fabrication techniques of devices. Recently, sufficient optimization and improvements in the processingtechniques like incorporation of solvent vapor annealing (SVA) with additives in solvents has become a majorcause of prominent improvements in the performance of organic solar cell-based devices . On the other hand, thechallenge of reduced open circuit voltage (Voc) remains. This study presents an approach for significant performanceimprovement of overall device based on organic small molecular solar cells (SMSCs) by following a two steptechnique that comprises thermal annealing (TA) and SVA (abbreviated as SVA+TA). In case of exclusive use of SVA,reduction in Voc can be eliminated in an effective way. The characteristics of charge carriers can be determined bythe measurement of transient photo-voltage (TPV) and transient photo-current (TPC) that determines the scopefor improvement in the performance of device by two step annealing. The recovery of reduced Voc is linked with thenecessary change in the dynamics of charge that lead to increased overall performance of device. Moreover, SVAand TA complement each other; therefore, two step annealing technique is an appropriate way to simultaneouslyimprove the parameters such as Voc, fill factor (FF), short circuit current density (Jsc) and PCE of small molecular solarcells.
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Efficiency Improvement of Organic Solar Cells Using Two-step Annealing Technique
Masood, Bilal,Haider, Arsalan,Nawaz, Tehsin The Korean Institute of Electrical and Electronic 2016 Transactions on Electrical and Electronic Material Vol.17 No.3
The fullerene solar cells are becoming a feasible choice due to the advanced developments in donor materials and improved fabrication techniques of devices. Recently, sufficient optimization and improvements in the processing techniques like incorporation of solvent vapor annealing (SVA) with additives in solvents has become a major cause of prominent improvements in the performance of organic solar cell-based devices . On the other hand, the challenge of reduced open circuit voltage (V<sub>oc</sub>) remains. This study presents an approach for significant performance improvement of overall device based on organic small molecular solar cells (SMSCs) by following a two step technique that comprises thermal annealing (TA) and SVA (abbreviated as SVA+TA). In case of exclusive use of SVA, reduction in V<sub>oc</sub> can be eliminated in an effective way. The characteristics of charge carriers can be determined by the measurement of transient photo-voltage (TPV) and transient photo-current (TPC) that determines the scope for improvement in the performance of device by two step annealing. The recovery of reduced V<sub>oc</sub> is linked with the necessary change in the dynamics of charge that lead to increased overall performance of device. Moreover, SVA and TA complement each other; therefore, two step annealing technique is an appropriate way to simultaneously improve the parameters such as V<sub>oc</sub>, fill factor (FF), short circuit current density (J<sub>sc</sub>) and PCE of small molecular solar cells.
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