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

Matter wave soliton bouncer

Dynamics of a matter wave soliton bouncing on the reflecting surface (atomic mirror) under the effect of gravity has been studied by analytical and numerical means. The analytical description is based on the variational approach. Resonant oscillations of the soliton's center of mass and width, induced by appropriate modulation of the atomic scattering length and the slope of the linear potential are analyzed. In numerical experiments we observe the Fermi type acceleration of the soliton when the vertical position of the reflecting surface is periodically varied in time. Analytical predictions are compared with the results of numerical simulations of the Gross-Pitaevskii equation and qualitative agreement between them is found.Comment: 8 pages, 5 figure

The Use of Antihypertensive and Antiplatelet Drugs on Hospital Stroke Patients

Medicine is one of the most important part of the healing process, the restoration of health and prevention of disease. This study aims to describe the use of drugs, particularly antihypertensive and antiplatelet drugs in stroke patients hospitalized in PKU Muhammadiyah Hospital Bantul during December 2014-April 2015. This research is observational descriptive study. Data collection was done prospectively with a survey of stroke patients in inpatient Al-Insan and al-A'raaf wards in PKU Muhammadiyah Hospital Bantul during the specified period. During the study there were 61 stroke patients sampled in the study, of which 41 (67.2%) were geriatrics and 20 (32.8%) were not geriatrc. From the data, 28 (45.9%) patients did not receive antihypertensive drugs, only 33 (54,1%) patients received antihypertensive drug.The antihypertensive drugs type were given to patients were ACEI 9 (14.8%) and CCB 6 (9.8%), as well as combinations ACEI and CCB 7 (11.5%). Most patients did not receive antiplatelet 43 (70.5%), whereas patients receiving antiplatelet drugs most was the kind of aspirin 17 (27.9%). From the above data it can be concluded that the use of antihypertensive drugs in stroke patients in the inpatient ward in PKU Muhamaddiyah Hospital Bantul quite frequently used, while the use of antiplatelet drugs in these cases rarely used

Studying the Dynamical Properties of 20 Nearby Galaxy Clusters

Using SDSS-DR7, we construct a sample of 42382 galaxies with redshifts in the region of 20 galaxy clusters. Using two successive iterative methods, the adaptive kernel method and the spherical infall model, we obtained 3396 galaxies as members belonging to the studied sample. The 2D projected map for the distribution of the clusters members is introduced using the 2D adaptive kernel method to get the clusters centers. The cumulative surface number density profile for each cluster is fitted well with the generalized King model. The core radii of the clusters' sample are found to vary from 0.18 Mpc \mbox{h}^{-1} (A1459) to 0.47 Mpc \mbox{h}^{-1} (A2670) with mean value of 0.295 Mpc \mbox{h}^{-1}. The infall velocity profile is determined using two different models, Yahil approximation and Praton model. Yahil approximation is matched with the distribution of galaxies only in the outskirts (infall regions) of many clusters of the sample, while it is not matched with the distribution within the inner core of the clusters. Both Yahil approximation and Praton model are matched together in the infall region for about 9 clusters in the sample but they are completely unmatched for the clusters characterized by high central density. For these cluster, Yahil approximation is not matched with the distribution of galaxies, while Praton model can describe well the infall pattern of such clusters.Comment: 16 pages, 8 figure

Metode Accelarated Shelf Life Test (Aslt) dengan Pendekatan Arrhenius dalam Pendugaan Umur Simpan Sari Buah Nanas, Pepaya dan Cempedak

Pineapple, papaya and cempedak are horticultural commodities that are perishable, require large space, and are usually consumed in fresh form. Based on that, technologies are required for processing them, and one alternative is juice technology. To ensure that the juice is still suitable for consumption and unspoiled, information on shelf life is necessary. Method of estimating shelf life used is ASLT (Accelarated Shelf Life Test). This research was conducted at the Laboratory of The Indonesian Center for Postharvest Agricultural Research and Development between September 2012 – January 2013. Results showed that kinetics reaction in the deterioration of vitamin C in pineapple and pineapple-Cempedak juice followed order one reaction. At storage temperature ranging between 30 °C to -5 °C pineapple-cempedak juice showed a shelf life longer than the shelf life of pineapple and pineapple-papaya juices. The estimated shelf life of pineapple-cempedak juice at a temperature of -5 °C was 197.85 days. Shelf life of pineapple-papaya juice at a temperature of -5 °C was 172.39 days. Shelf life of pineapple juice at a temperature of -5 °C was 156.85 days

Analisis Rancangan Faktorial Tiga Faktor Untuk Optimalisasi Produksi Bioetanol Dari Molases Tebu

Bioethanol is a plant-based fuels potential as alternative materials to substitute fossil fuels which are non-renewable. The aim of this study is to get the optimal dose of Saccharomyces cerevisiae as starer, concentration of nitrogen (urea) and fermentation time for the production of bioethanol effectively and efficiently. This study was conducted at the Laboratory of Postharvest Research and Development Institute, Bogor from May to September 2015. The materials used are molasses of sugar cane. The experimental design used was a factorial design with 3 factors. The first factor was the treatment of fermentation time (1, 2 and 3 days). The second factor was the nitrogen concentration (0, 2 and 4 grams). The thirtd factor was the Saccharomyces cerevisiae concentration (1, 1.5 and 2 grams). Each treatment was repeated twice. Observations were made on the characteristics of the raw materials (total sugar content, ash content and calcium content) and the resulting product (total sugar content, alcohol content and yield). Data were analyzed using analysis of variance and Duncan Multiple Range Test (DMRT). The results showed that the addition of starter Saccharomyces cerevisiae and treatment of urea 2 grams each produced the highest yield alcohol with a fermentation time of 3 days

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