- About
-
The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 51 to 55 of 55 (0.055 seconds)| 51 |
Policies and Management Practices for Sustainable Oil Palm - Evidence from IndonesiaRudolf, Katrin 12 May 2020 (has links)
No description available.
|
| 52 |
Real Time Face Recognition on GPU using OPENCLNaik, Narmada January 2017 (has links) (PDF)
Face recognition finds various applications in surveillance, Law enforcement etc. These applications require fast image processing in real time. Modern GPUs have evolved fully programmable parallel stream processors. The problem of face recognition in real time system is benefited by parallelism. With the aim of fulfilling both speed and accuracy criteria we present a GPU accelerated Face Recognition system. OpenCL is a heterogeneous computing language that allows extracting parallelism on different platforms like DSP processors, FPGAs, GPUs. The proposed kernel on GPU exploits coarse grain parallelism for Local Binary Pattern (LBP) histogram computation and ELTP (Enhanced Local Ternary Pattern) feature extraction. The proposed optimization techniques on local memory, work group size and work group dimension enhances the computation of face recognition on GPU further. As a result, we have achieved a speed up of 30 times to 300 times for 124*124 to 2048*2048 image sizes for LBP and ELTP feature extraction compared to CPU. We also present a robust real time face recognition and tracking on GPU using fusion of RGB and Depth images taken from Kinect sensor. The proposed segmentation after detection algorithm enhances the performances of recognition using LBP.
|
| 53 |
Assessment of blind source separation techniques for video-based cardiac pulse extractionWedekind, Daniel, Trumpp, Alexander, Gaetjen, Frederik, Rasche, Stefan, Matschke, Klaus, Malberg, Hagen, Zaunseder, Sebastian 09 September 2019 (has links)
Blind source separation (BSS) aims at separating useful signal content from distortions. In the contactless acquisition of vital signs by means of the camera-based photoplethysmogram (cbPPG), BSS has evolved the most widely used approach to extract the cardiac pulse. Despite its frequent application, there is no consensus about the optimal usage of BSS and its general benefit. This contribution investigates the performance of BSS to enhance the cardiac pulse from cbPPGs in dependency to varying input data characteristics. The BSS input conditions are controlled by an automated spatial preselection routine of regions of interest. Input data of different characteristics (wavelength, dominant frequency, and signal quality) from 18 postoperative cardiovascular patients are processed with standard BSS techniques, namely principal component analysis (PCA) and independent component analysis (ICA). The effect of BSS is assessed by the spectral signal-tonoise ratio (SNR) of the cardiac pulse. The preselection of cbPPGs, appears beneficial providing higher SNR compared to standard cbPPGs. Both, PCA and ICA yielded better outcomes by using monochrome inputs (green wavelength) instead of inputs of different wavelengths. PCA outperforms ICA for more homogeneous input signals. Moreover, for high input SNR, the application of ICA using standard contrast is likely to decrease the SNR.
|
| 54 |
Scalable Multimedia Learning: From local eLectures to global OpencastKetterl, Markus 27 March 2014 (has links)
Universities want to go where the learners are to share their rich scientific and intellectual knowledge beyond the walls of the academy and to expand the boundaries of the classroom. This desire has become a critical need, as the worldwide economy adjusts to globalization and the need for advanced education and training becomes ever more critical. Unfortunately, the work of creating, processing, distributing and using quality multimedia learning content is expensive and technically challenging. The work combines research results, lessons learned and usage findings in the presentation of a fully open source based scalable lecture capture solution, that is useful in the heterogenous computing landscape of today’s universities and learning institutes. Especially implemented user facing applications and components are being addressed, which enable lecturers, faculty and students to record, analyze and subsequently re-use the recorded multimedia learning material in multiple and attractive ways across devices and distribution platforms.
|
| 55 |
Методы обучения письменному переводу делового английского языка : магистерская диссертация / Methods of teaching Business English translationВиноградова, Л. А., Vinogradova, L. A. January 2022 (has links)
Диссертационное исследование посвящено изучению методов обучения переводу в контексте делового английского языка. Работа включает в себя теоретический аспект с последующим его применением на практике. Экспериментальная часть исследования посвящена апробации традиционных и инновационных методов обучения переводу среди студентов. / The dissertation research is devoted to the study of methods of teaching translation in the context of business English. The work includes a theoretical aspect with its subsequent application in practice. The experimental part of the study is devoted to testing traditional and innovative methods of teaching translation among students.
|
Page generated in 0.0621 seconds