1,005 research outputs found
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors
Nowadays, deep neural networks for object detection in images are very
prevalent. However, due to the complexity of these networks, users find it hard
to understand why these objects are detected by models. We proposed Gaussian
Class Activation Mapping Explainer (G-CAME), which generates a saliency map as
the explanation for object detection models. G-CAME can be considered a
CAM-based method that uses the activation maps of selected layers combined with
the Gaussian kernel to highlight the important regions in the image for the
predicted box. Compared with other Region-based methods, G-CAME can transcend
time constraints as it takes a very short time to explain an object. We also
evaluated our method qualitatively and quantitatively with YOLOX on the MS-COCO
2017 dataset and guided to apply G-CAME into the two-stage Faster-RCNN model.Comment: 10 figure
Existence and Decay of Solutions of a Nonlinear Viscoelastic Problem with a Mixed Nonhomogeneous Condition
We study the initial-boundary value problem for a nonlinear wave equation
given by u_{tt}-u_{xx}+\int_{0}^{t}k(t-s)u_{xx}(s)ds+ u_{t}^{q-2}u_{t}=f(x,t,u)
, 0 < x < 1, 0 < t < T, u_{x}(0,t)=u(0,t), u_{x}(1,t)+\eta u(1,t)=g(t),
u(x,0)=\^u_{0}(x), u_{t}(x,0)={\^u}_{1}(x), where \eta \geq 0, q\geq 2 are
given constants {\^u}_{0}, {\^u}_{1}, g, k, f are given functions. In part I
under a certain local Lipschitzian condition on f, a global existence and
uniqueness theorem is proved. The proof is based on the paper [10] associated
to a contraction mapping theorem and standard arguments of density. In Part} 2,
under more restrictive conditions it is proved that the solution u(t) and its
derivative u_{x}(t) decay exponentially to 0 as t tends to infinity.Comment: 26 page
Risks of Surface Water Pollution in Southern Vietnam
The study was carried out to assess surface water quality and ecological risks in water bodies in the southern region of Vietnam. The study used monitoring data at 58 locations, which were collected in March, May, June, July, August, October, November, and December of 2022, with 11 water quality parameters (temperature, pH, DO, TSS, BOD, COD, NH4+-N, NO3--N, Fe, Pb, and Cd). Comprehensive pollution index (CPI), ecological risk level, and multivariate statistical analysis methods were utilized. The values of CPI showed that the surface water quality was mildly polluted, moderately polluted, and severely polluted, accounting for 37.93, 46.93, and 15.52%, respectively. In particular, heavy pollution was concentrated in the water bodies of the Sai Gon and Vam Co Rivers. TSS, BOD, COD, NH4+-N, and Fe had a moderate to high level of risk, while water samples contaminated with NO3--N, Pb, and Cd had a level of risk from low to safe. High levels of risk were concentrated in the water bodies of the Sai Gon River and Vam Co River, typically BOD and COD. Based on the impact level, the positions were classified into five groups, with the locations on the Sai Gon River and Vam Co River (Groups 4 and 5) being affected by various waste sources in the inner city of Ho Chi Minh City. The PCA results presented three sources, such as discharge from residential areas, soil erosion, and agriculture, that have caused water quality fluctuations and increased the impact on the water quality of water bodies. Measures to protect water resources according to environmental protection laws must be implemented soon to minimize ecological risks from water-polluting sources. Doi: 10.28991/CEJ-2023-09-11-06 Full Text: PD
INTEGRATING EXTENSIVE READING INTO THE LESSONS: ITS EFFECTS ON EFL HIGH SCHOOL STUDENTS’ READING PERFORMANCE
This one-group experimental study attempts to investigate the effects of integrating extensive reading, especially the integration of the two main reading skills namely skimming and scanning skills into the reading lessons on EFL high school students’ reading performance. The participants were 62 grade-10 students studying in a high school in the Mekong Delta, Vietnam. The four main instruments used to collect the data included Reading Tests (consisting of Pre-test and Post-test), a questionnaire, a semi-structured interview, and a pre-program survey, respectively. The results of the data analysis indicated a relatively significant impact of extensive reading on students’ reading performance, especially the improvement of two reading skills, namely skimming and scanning. In addition, it confirmed that the participants had a positive attitude towards the integration of extensive reading into the reading lessons. The present study showed the main implication that the incorporation of extensive reading into the reading lessons should get more attention in language teaching programs at secondary education.
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A Novel Explainable Artificial Intelligence Model in Image Classification problem
In recent years, artificial intelligence is increasingly being applied widely
in many different fields and has a profound and direct impact on human life.
Following this is the need to understand the principles of the model making
predictions. Since most of the current high-precision models are black boxes,
neither the AI scientist nor the end-user deeply understands what's going on
inside these models. Therefore, many algorithms are studied for the purpose of
explaining AI models, especially those in the problem of image classification
in the field of computer vision such as LIME, CAM, GradCAM. However, these
algorithms still have limitations such as LIME's long execution time and CAM's
confusing interpretation of concreteness and clarity. Therefore, in this paper,
we propose a new method called Segmentation - Class Activation Mapping (SeCAM)
that combines the advantages of these algorithms above, while at the same time
overcoming their disadvantages. We tested this algorithm with various models,
including ResNet50, Inception-v3, VGG16 from ImageNet Large Scale Visual
Recognition Challenge (ILSVRC) data set. Outstanding results when the algorithm
has met all the requirements for a specific explanation in a remarkably concise
time.Comment: Published in the Proceedings of FAIC 202
Study the appropriate conditions to obtain germinated brown rice with high biological activity
ABSTRACT – QMFS 2019Germinated brown rice strains contain more bioactive substances than germinated regular rice ones, however germination conditions play an important role in the activity and the content of those substances. The proper germination process provides the optimized active ingredients from rice that can be used for the production of nutritious beverages. In this study, we investigated the effects of pH, temperature and incubation time in microaerobic culture condition on the change of bioactive substances in AnhDao brown rice. The optimal germination condition with pH at 3, temperature of 35 0C and time for 36h release 109.11U/g of the α-amylase activity, 17.22(U/g) of the enzyme glutamate decacboxylase (GAD), 1.38(U/g) of protease, 231.76mg/100g of GABA content and 21.9 (mgGAE/100g) of polyphenol from germinated AnhDao brown rice. In nutrient evaluation, germinated AnhDao brown rice contains 65.53% of starch, 2.49% of lipid, 9.13%of protein, 2.04% of reducing sugar, and 1.26% of ash.Key words: Germinated brown rice, bioactive substances, α-amylase, protease, glutamate decacboxylase (GAD), Gamma aminobutyric acid (GABA)
CAMELLIA THUANANA (CAMELLIA SECT. CHRYSANTHA) – A NEW SPECIES FROM THE CENTRAL HIGHLANDS, VIETNAM
Camellia thuanana, a new species of the genus Camellia L. (Theaceae) is described and illustrated from the Central Highlands, Vietnam. Morphological features of this species are small flowers and pedicellate; leaves stalked, anastomosing venation, blades oblong-elliptic to elliptic, sparsely hirsute along the midrib below; pedicel very short; bracteoles 2–3, triangular; sepals 4–(5) in opposite pairs; corolla light greenish-yellow color; petals 7–8, glabrous; androecium 190–200 stamens, light yellow, in 3–4 circles; gynoecium 3, ovary ovoid and pubescent; styles 3, free to the base, and glabrous. C. thuanana resembles C. thuongiana in some morphological characteristics. C. thuanana is classified into sect. Chrysantha by styles completely free, flowers yellow, ovaries 3–5 locular, and partially connate. The IUCN Redlist Category of C. thuanana was assessed as Critically Endangered (CR)
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