Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Institution
Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Sar Object Recognition Based On Multi-Band And Multi-Polarization Simulation Image, Gu Yu, Zhang Qin, Xu Ying
Sar Object Recognition Based On Multi-Band And Multi-Polarization Simulation Image, Gu Yu, Zhang Qin, Xu Ying
Journal of System Simulation
Abstract: The object model was built based on Creator, and object texture-material mapping was performed by Vega TMM tool. The multi-band and multi-polarization SAR image database was built by visual simulation technology. A hybrid intelligent optimization algorithm was designed to optimize combination of band and polarization by genetic algorithm and binary particle optimization. Zernike moment features, Gabor wavelet coefficients, etc were extracted from original image and rectified image to make up of feature candidates, and the feature selection experiments were carried out by using multi-band and multi-polarization SAR images. Simulation results demonstrate that, building SAR image database through simulation …
Event-Based Summarization Of News Articles, Feri̇de Savaroğlu Tabak, Vesi̇le Evri̇m
Event-Based Summarization Of News Articles, Feri̇de Savaroğlu Tabak, Vesi̇le Evri̇m
Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, with the increase of available digital information on the Web, the time needed to find relevant information is also increased. Therefore, to reduce the time spent on searching, research on automatic text summarization has gained importance. The proposed summarization process is based on event extraction methods and is called an event-based extractive single-document summarization. In this method, the important features of event extraction and summarization methods are analyzed and combined together to extract the summaries from single-source news documents. Among the tested features, six features are found to be the most effective in constructing good summaries. The …
On A Yearly Basis Prediction Of Soil Water Content Utilizing Sar Data: A Machinelearning And Feature Selection Approach, Emrullah Acar, Mehmet Si̇raç Özerdem
On A Yearly Basis Prediction Of Soil Water Content Utilizing Sar Data: A Machinelearning And Feature Selection Approach, Emrullah Acar, Mehmet Si̇raç Özerdem
Turkish Journal of Electrical Engineering and Computer Sciences
Soil water content (SWC) performs an important role in many areas including agriculture, drought cases, usage of water resources, hydrology, crop diseases and aerology. However, the measurement of the SWC over large terrains with standard computational techniques is very hard. In order to overcome this situation, remote sensing tools are preferred, which can produce much more successful results in less time than standard calculation techniques. Among all remote sensing tools, synthetic aperture radar (SAR) has a significant impact on determining SWC over large terrains. The main objective of this study is to predict SWC on a yearly basis over the …
Towards Human Activity Recognition For Ubiquitous Health Care Using Data From Awaist-Mounted Smartphone, Umar Zia, Wajeeha Khalil, Salabat Khan, Iftikhar Ahmad, Naeem Khatak
Towards Human Activity Recognition For Ubiquitous Health Care Using Data From Awaist-Mounted Smartphone, Umar Zia, Wajeeha Khalil, Salabat Khan, Iftikhar Ahmad, Naeem Khatak
Turkish Journal of Electrical Engineering and Computer Sciences
Understanding human activities is a newly emerging paradigm that is greatly involved in developing ubiquitous health care (u-Health) systems. The aim of these systems is to seamlessly gather knowledge about the patient?s health and, after collecting knowledge, make suggestions to the patient according to his/her health profile. For this purpose, one of the most important ubiquitous communication trends is the smartphone, which has drawn the attention of both professionals and caregivers for monitoring the aging population, childcare, fall detection, and cognitive impairment. Recognizing human actions in a ubiquitous environment is very challenging and researchers have extensively investigated different methods to …