716 research outputs found
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition
In the recent year, state-of-the-art for facial micro-expression recognition
have been significantly advanced by deep neural networks. The robustness of
deep learning has yielded promising performance beyond that of traditional
handcrafted approaches. Most works in literature emphasized on increasing the
depth of networks and employing highly complex objective functions to learn
more features. In this paper, we design a Shallow Triple Stream
Three-dimensional CNN (STSTNet) that is computationally light whilst capable of
extracting discriminative high level features and details of micro-expressions.
The network learns from three optical flow features (i.e., optical strain,
horizontal and vertical optical flow fields) computed based on the onset and
apex frames of each video. Our experimental results demonstrate the
effectiveness of the proposed STSTNet, which obtained an unweighted average
recall rate of 0.7605 and unweighted F1-score of 0.7353 on the composite
database consisting of 442 samples from the SMIC, CASME II and SAMM databases.Comment: 5 pages, 1 figure, Accepted and published in IEEE FG 201
SWAT use of gridded observations for simulating runoff – a Vietnam river basin study
Many research studies that focus on basin hydrology have applied the SWAT model using station data to simulate runoff. But over regions lacking robust station data, there is a problem of applying the model to study the hydrological responses. For some countries and remote areas, the rainfall data availability might be a constraint due to many different reasons such as lacking of technology, war time and financial limitation that lead to difficulty in constructing the runoff data. To overcome such a limitation, this research study uses some of the available globally gridded high resolution precipitation datasets to simulate runoff. Five popular gridded observation precipitation datasets: (1) Asian Precipitation Highly Resolved Observational Data Integration Towards the Evaluation of Water Resources (APHRODITE), (2) Tropical Rainfall Measuring Mission (TRMM), (3) Precipitation Estimation from Remote Sensing Information using Artificial Neural Network (PERSIANN), (4) Global Precipitation Climatology Project (GPCP), (5) a modified version of Global Historical Climatology Network (GHCN2) and one reanalysis dataset, National Centers for Environment Prediction/National Center for Atmospheric Research (NCEP/NCAR) are used to simulate runoff over the Dak Bla river (a small tributary of the Mekong River) in Vietnam. Wherever possible, available station data are also used for comparison. Bilinear interpolation of these gridded datasets is used to input the precipitation data at the closest grid points to the station locations. Sensitivity Analysis and Auto-calibration are performed for the SWAT model. The Nash-Sutcliffe Efficiency (NSE) and Coefficient of Determination (<i>R</i><sup>2</sup>) indices are used to benchmark the model performance. Results indicate that the APHRODITE dataset performed very well on a daily scale simulation of discharge having a good NSE of 0.54 and <i>R</i><sup>2</sup> of 0.55, when compared to the discharge simulation using station data (0.68 and 0.71). The GPCP proved to be the next best dataset that was applied to the runoff modelling, with NSE and <i>R</i><sup>2</sup> of 0.46 and 0.51, respectively. The PERSIANN and TRMM rainfall data driven runoff did not show good agreement compared to the station data as both the NSE and <i>R</i><sup>2</sup> indices showed a low value of 0.3. GHCN2 and NCEP also did not show good correlations. The varied results by using these datasets indicate that although the gauge based and satellite-gauge merged products use some ground truth data, the different interpolation techniques and merging algorithms could also be a source of uncertainties. This entails a good understanding of the response of the hydrological model to different datasets and a quantification of the uncertainties in these datasets. Such a methodology is also useful for planning on Rainfall-runoff and even reservoir/river management both at rural and urban scales
Satu tinjauan keberkesanan faktor-faktor yang mempengaruhi prestasi pelajar sarjana muda (Lukisan Kejuruteraan) di Kolej Universiti Teknologi Tun Hussein Onn
Tujuan kajian ini dilakukan adalah untuk meninjau keberkesanan faktor-faktor yang mempengaruhi prestasi pelajar dalam mataplajaran Lukisan Kejuruteraan di Kolej Universiti Teknologi Tun Hussein Onn (KUiTTHO). Ianya melihat kepada beberapa objektif khusus dalam menentukan prestasi pelajar dalam matapelajaran Lukisan Kejuruteraan, di antara faktor-faktor tersebut adalah dari segi sikap dan minat pelajar serta cara pengajaran pensyarah tersebut dan terhadap kemudahan yang sedia ada di makmal lukisan. Dalam melaksanakan kajian ini terdapat beberapa persoalan kajian yang dilihat iaitu terhadap sikap dan minat pelajar sama ada ianya mempengaruhi prestasi pelajar tersebut dalam matapelajaran lukisan kejuruteraan, juga dari segi cara pengajaran pensyarah dan kemudahan- kemudahan yang sedia ada. Instrumen kajian yang digunakan adalah berbentuk soal selidik dan data yang diperolehi dianalisis bagi tujuan dipersembahkan dalam bentuk carta dan jadual statistical. Kajian ini mendapati kefahaman pelajar terhadap sumber tentang kepentingan lukisan kejuruteraan. Faktor sikap, minat cara pengajaran pensyarah dan kemudahan yang sedia ada di makmal adalah merupakan faktor yang mempengaruhi tahap prestasi pelajar dalam matapelajaran ini. Penekanan yang difokuskan ini adalah supaya pensyarah memberi banyak pendedahan dan kepentingan matapelajaran ini serta mempelbagaikan kaedah pengajaran dan juga mengadakan banyak perbincangan yang berterusan dengan pelajar
Penggunaan Kartu Huruf untuk Meningkatkan Keterampilan Menulis dalam Pembelajaran Bahasa Indonesia di Kelas 1
ION: this Title Research [is] " Usage of Card Letter for Uplifting Of Skill To write in Study of Indonesian [in] Class 1 Elementary School Country 04 Melobo Sanggau". This Research [is] [done/conducted] in 2 cycle on the chance of getting correct picture [is] way of USAge of letter card in study of Ianguage of Indonesia about skill write and at the same time see result learn educative [by] participant the obtained after following study with letter card. As for result of which [is] obtained from this research [is]: Teacher have applied USAge of letter card in study of Ianguage of Indonesia [pass/through] USAge of letter card in uplift skill to write better, pursuant to percentage of cycle mean of I equal to 61,11 becoming 77,78 [at] cycle of II. Complete [of] Result learn educative participant in the case of skill write also experience of the make-up of which [is] signifikan from 55,56% [at] cycle of I mount to become 88,89% [at] cycle of II. Equally that USAge of letter card media can uplift skill to write educative participant in study of Ianguage of Indonesia [in] class 1 country elementary school 04 Melobo Sangga
Dinamika Akumulasi Kadmium Pada Tanaman Kangkung Darat (Ipomoae reptans Poir)
J. Akta Kimia Indonesia 2(1) 2009One heavy metal, which is potential as pollutant, is cadmium that has been\ud
accumulated in soil and sediment. Although, cadmium is non essential element for plants, it\ud
is easily adsorbed and accumulated by various plants. The negative effect of cadmium on\ud
plants is that it can prevent the absorption of nutrition so that the plant growth will be\ud
inhibited and then the plant will die. Therefore, it is necessary to reduce the concentration of\ud
cadmium to be used as good growth media. Several methods of heavy metal accumulation,\ud
such as physical, chemical and biological methods, have been used, but the three methods\ud
have been considered as less effective methods. The use of plants to accumulate heavy metals\ud
in polluted soil is considered as a good method because the method is a safe method and can\ud
increase the soil fertility. In this research, accumulation of cadmium has been conducted by\ud
using Ipomeae reptans Poir. Result showed that the highest concentration that can be\ud
accumulated by I. reptans Poir was 3317.68 mg/kg of dried mass with the plantation time of\ud
21 days. The increase of concentration in the growth media increased the cadmium\ud
concentration accumulated. The high accumulation of cadmium showed that I. reptans Poir is\ud
a hyperaccumulator plant for cadmium. The bioconcentration value was higher than 1,\ud
whereas the translocation factor was lower than 1 indicating that the accumulation\ud
mechanism was phytostabilization
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