MRI brain classification using support vector machine

The field of medical imaging gains its importance with increase in the need of automated and efficient diagnosis in a short period of time. Other than that, medical image retrieval system is to provide a tool for radiologists to retrieve the images similar to query image in content. Magnetic resonance imaging (MRI) is an imaging technique that has played an important role in neuroscience research for studying brain images. Classification is an important part in retrieval system in order to distinguish between normal patients and those who have the possibility of having abnormalities or tumor. In this paper, we have obtained the feature related to MRI images using discrete wavelet transformation. An advanced kernel based techniques such as Support Vector Machine (SVM) for the classification of volume of MRI data as normal and abnormal will be deployed

Catastrophic forgetting: still a problem for DNNs

We investigate the performance of DNNs when trained on class-incremental visual problems consisting of initial training, followed by retraining with added visual classes. Catastrophic forgetting (CF) behavior is measured using a new evaluation procedure that aims at an application-oriented view of incremental learning. In particular, it imposes that model selection must be performed on the initial dataset alone, as well as demanding that retraining control be performed only using the retraining dataset, as initial dataset is usually too large to be kept. Experiments are conducted on class-incremental problems derived from MNIST, using a variety of different DNN models, some of them recently proposed to avoid catastrophic forgetting. When comparing our new evaluation procedure to previous approaches for assessing CF, we find their findings are completely negated, and that none of the tested methods can avoid CF in all experiments. This stresses the importance of a realistic empirical measurement procedure for catastrophic forgetting, and the need for further research in incremental learning for DNNs.Comment: 10 pages, 11 figures, Artificial Neural Networks and Machine Learning - ICANN 201

Distortion of Infall Regions in Redshift Space-I

We show that spherical infall models (SIMs) can better describe some galaxy clusters in redshift slice space than in traditional axially-convolved projection space. This is because in SIM, the presence of transverse motion between cluster and observer, and/or shear flow about the cluster (such as rotation), causes the infall artifact to tilt, obscuring the characteristic two-trumpet profile; and some clusters resemble such tilted artifacts. We illustrate the disadvantages of applying SIM to convolved data and, as an alternative, introduce a method fitting a tilted 2D envelope to determine a 3D envelope. We also introduce a fitting algorithm and test it on toy SIM simulations as well as three clusters (Virgo, A1459, and A1066). We derive relations useful for using the tilt and width-to-length ratio of the fitted envelopes to analyze peculiar velocities. We apply them to our three clusters as a demonstration. We find that transverse motion between cluster and observer can be ruled out as sole cause of the observed tilts, and that a multi-cluster study could be a feasible way to find our infall toward Virgo cluster

Peningkatan Kadar Antosianin Beras Merah dan Beras Hitam melalui Biofortifikasi

Biofortifikasi adalah paradigma baru di dunia pertanian dan merupakan salah satu pendekatan dalam meningkatkan gizi masyarakat. Beras yang merupakan makanan pokok di Indonesia dapat ditingkatkan kandungan gizinya melalui program pemuliaan tanaman guna menghasilkan varietas padi yang berasnya mengandung vitamin, mineral, dan/atau senyawa lain seperti antosianin yang bermanfaat bagi kesehatan. Antosianin dapat dihasilkan oleh tanaman secara alami. Biofortifikasi beras yang mengandung antosianin tinggi telah dilakukan melalui program perakitan varietas padi beras merah dan beras hitam dengan prosedur pemuliaan konvensional. Dua varietas unggul padi fungsional yang mengandung antosianin tinggi telah dilepas yaitu Inpari-24 Gabusan sebagai varietas unggul padi beras merah dengan kandungan antosianin 8 ug/100g dan Inpari-25 Opak Jaya sebagai varietas ketan merah dengan kandungan antosianin 11 ug/100g. Varietas unggul padi beras merah hasil biofortikasi telah berkembang luas di beberapa daerah karena disukai konsumen dan menguntungkan petani. Beberapa galur harapan padi beras merah dan beras hitam yang mengandung antosianin lebih tinggi masih dalam tahap pengujian daya hasil dan multilokasi. Beberapa di antara galur tersebut diharapkan dapat dilepas sebagai varietas unggul padi beras merah dan beras hitam yang lebih baik dari varietas yang sudah ada. Untuk mengatasi penyakit degeneratif seperti kanker, diabetes, dan hipertensi, dengan mengonsumsi pangan fungsional hasil biofortikasi lebih efisien dan lebih efektif dibandingkan dengan pangan hasil fortifikasi karena senyawa penting yang ditambahkan melalui biofortifikasi bersifat diwariskan dan langgeng

Konstitusi Pendidikan Islam dalam Membangun Masyarakat Madani

This journal discuss how to Islamic education constituation in Indonesia and how are principles and implementation of islamic education in creating madani society.Islamic education constitution in Indonesia be included in UU RI No 20 2003 it significant is developing ability and creating character it aims to develop students potential to be faithful and piety to god, good character, healthy, skillful, learned, creative, stand alone, and to be democratis citizen and responsible. Principles of Islamic education in building madani society are freely and individual freedom, freedom and individual activity must be balance and be control, free thingking and individual activity. Madani is an adoration value of fair, democrasy, freedom, prosperous

Penerapan Model Pembelajaran Kooperatif Tipe Mood, Understand, Recall, Detect, Elaborate, Review (Murder) untuk Meningkatkan Prestasi Belajar Siswa pada Pokok Bahasan Hidrokarbon di Kelas X SMA Negeri 14 Pekanbaru

The porposes of research were to know improvement of student achievement and the effect of the application of cooperative learning model MURDER to increased student achievement on the subject of hydrocarbon in Class X SMAN 14 Pekanbaru. This research was a form of experimental research with the design randomized control group pretest-posttest. The study population was all students of class X at SMAN 14 Pekanbaru. The samples were students of class X.3 as experimental class and class X.2 as the control class. The experimental class was applied cooperative learning model MURDER, while the control class using discussion method. Data were analyzed using t-test. Results from the study showed tcount>ttable (4,58 >1.67) and category increase student achievement in the experimental class at 0,79 with high katergori while the experimental class category increase student achievement by 0.55 with category so it can be concluded the implementation of cooperative learning model MURDER can improve the student achievement on the subject of Hydrocarbon in class X SMAN 14 Pekanbaru

Pengembangan Media Pembelajaran Kimia Berbasis Autoplay Media Studio 8 pada Pokok Bahasan Struktur Atom

Research development of chemical-based learning media Autoplay Media Studio 8 is intended to produce a decent learning media on the subject of the atomic structure is developed based on the feasibility aspect of the display media, programming, content, presentation material content and language in Chemical Education Program. Beside that, it also to know the response of chemistry teachers and learners to media-based learning Autoplay Media Studio 8 has been developed on the subject of atomic structure. This media development research using ADDIE model of which has 5 stages of development, namely analysis, design, development, implementation and evaluation. Results of research-based instructional media development AutoPlay Media Studio 8 on the subject of atomic structures that have been validated by a validator to be feasible with an average percentage of 96.38%. Response chemistry teachers and learners expressed either by the average percentage of 98.2% for chemistry teachers and 91.89% for the learners. This indicates that the learning generated media fit for use as a medium of learning