39 research outputs found

    Multiresolution models in image restoration and reconstruction with medical and other applications

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    Homotopy Based Reconstruction from Acoustic Images

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    ANALISIS KETERAMPILAN BELAJAR (LEARNING SKILLS) DAN HASIL BELAJAR SISWA MELALUI PEMBELAJARAN DARING BERBASIS PADLET PADA MATA PELAJARAN GEOGRAFI

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    Abstract.This research aims to analyze students’ learning skills and learning outcomes through Padlet-based online learning in Geography subject. This research is motivated by the low learning skills of students in Geography during online learning. One of the efforts that can be made to improve the learning process is to carry it out using the Padlet application. The type of research used is experimental research. The research subjects were students of class XI IIS 3 of SMA Pembangunan Laboratorium Universitas Negeri Padang as the experimental class and class XI IIS 4 as the control class. The data collection instruments used are students’ learning skill observation sheets and learning outcomes tests. The results of this research indicate that: (1) This research proves that students' learning skills are higher when learning with Padlet compared to other learning media in terms of critical thinking skills, communication skills, collaborative skills and creativity skills. (2) The research proves that there are differences in learning outcomes between the experimental class using the Padlet application and the control class without using the application. This is indicated by the obtained significance value (2-tailed) of 0.036 < 0.05 significance value. It means that there is a difference between the experimental class that was given special treatment by using the Padlet, which get a higher score than the control class that did not use the Padlet. So it can be concluded that the application of Padlet in learning is proven to be better in terms of students’ learning skills and learning outcomes in Geography subject.This research aims to analyze students’ learning skills and learning outcomes through Padlet-based online learning in Geography subject. This research is motivated by the low learning skills of students in Geography during online learning. One of the efforts that can be made to improve the learning process is to carry it out using the Padlet application. The type of research used is experimental research. The research subjects were students of class XI IIS 3 of SMA Pembangunan Laboratorium Universitas Negeri Padang as the experimental class and class XI IIS 4 as the control class. The data collection instruments used are students’ learning skill observation sheets and learning outcomes tests. The results of this research indicate that: (1) This research proves that students' learning skills are higher when learning with Padlet compared to other learning media in terms of critical thinking skills, communication skills, collaborative skills and creativity skills. (2) The research proves that there are differences in learning outcomes between the experimental class using the Padlet application and the control class without using the application. This is indicated by the obtained significance value (2-tailed) of 0.036 < 0.05 significance value. It means that there is a difference between the experimental class that was given special treatment by using the Padlet, which get a higher score than the control class that did not use the Padlet. So it can be concluded that the application of Padlet in learning is proven to be better in terms of students’ learning skills and learning outcomes in Geography subject.Abstrak. Penelitian ini bertujuan untuk menganalisis   keterampilan belajar (learning skills) dan hasilbelajar siswa melalui pembelajaran daring berbasis padlet pada mata pelajaran geografi. Penelitian inidilatar belakangi oleh  rendahnya keterampilan belajar (learning skills) siswa dalam pembelajarangeografi selama pembelajaran daring. Salah satu upaya yang dapat dilakukan untuk memperbaikiproses pembelajaran adalah dengan melaksanakan pembelajaran menggunakan aplikasi Padlet. Jenispenelitian yang digunakan adalah penelitian eksperimen. Subjek penelitian adalah peserta didik kelasXI IIS 3 SMA Pembangunan Laboratorium Universitas Negeri Padang sebagai kelas kelas eksperimendan kelas XI IIS 4 sebagai kelas kontrol. Alat pengumpulan data yang digunakan adalah lembarobservasi keterampilan belajar siswa dan tes hasil belajar. Hasil penelitian ini menunjukkan bahwa: (1)Penelitian ini membuktikan bahwa keterampilan belajar siswa lebih tinggi saat belajar dengan Padletdibanding dengan media pemelajaran lain yang dilihat dari aspek keterampilan berpikir kritis,keterampilan komunikasi, keterampilan kolaborasi dan keterampilan kreativitas. (2) Penelianmembuktikan bahwa terdapat perbedaan hasil belajar antara kelas eksperimen menggunakan aplikasiPadlet dengan kelas kontrol tanpa menggunakan aplikasi Padlet. Hal ini ditunjukan dengan diperolehnilai signifikansi (2-tailed) 0,036 < nilai signifikansi 0,05. Artinya terdapat perbedaan antara kelaseksperimen yang diberi perilaku khusus dengan menggunakan padlet mendapatkan nilai lebih tinggidibanding kelas kontrol yang tidak menggunakan Padlet. Sehingga dapat disimpulkan bahwapenerapan aplikasi Padlet dalam pembelajaran terbukti lebih baik dilihat dari keterampilan belajar(learning skills) dan hasil belajar siswa pada mata pembelajaran geografi. Keywords: Geography Learning, Study Skills, Padlet, Online learnin

    Development of Unsupervised Image Segmentation Schemes for Brain MRI using HMRF model

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    Image segmentation is a classical problem in computer vision and is of paramount importance to medical imaging. Medical image segmentation is an essential step for most subsequent image analysis task. The segmentation of anatomic structure in the brain plays a crucial role in neuro imaging analysis. The study of many brain disorders involves accurate tissue segmentation of brain magnetic resonance (MR) images. Manual segmentation of the brain tissues, namely white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF) in MR images by an human expert is tedious for studies involving larger database. In addition, the lack of clearly defined edges between adjacent tissue classes deteriorates the significance of the analysis of the resulting segmentation. The segmentation is further complicated by the overlap of MR intensities of different tissue classes and by the presence of a spatially and smoothly varying intensity in-homogeneity. The prime objective of this dissertation is to develop strategies and methodologies for an automated brain MR image segmentation scheme

    A Methodology for Extracting Human Bodies from Still Images

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    Monitoring and surveillance of humans is one of the most prominent applications of today and it is expected to be part of many future aspects of our life, for safety reasons, assisted living and many others. Many efforts have been made towards automatic and robust solutions, but the general problem is very challenging and remains still open. In this PhD dissertation we examine the problem from many perspectives. First, we study the performance of a hardware architecture designed for large-scale surveillance systems. Then, we focus on the general problem of human activity recognition, present an extensive survey of methodologies that deal with this subject and propose a maturity metric to evaluate them. One of the numerous and most popular algorithms for image processing found in the field is image segmentation and we propose a blind metric to evaluate their results regarding the activity at local regions. Finally, we propose a fully automatic system for segmenting and extracting human bodies from challenging single images, which is the main contribution of the dissertation. Our methodology is a novel bottom-up approach relying mostly on anthropometric constraints and is facilitated by our research in the fields of face, skin and hands detection. Experimental results and comparison with state-of-the-art methodologies demonstrate the success of our approach
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