• Korean Journal of Metals and Materials
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• v.47 no.3
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• pp.139-146
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• 2009

The heat-affected zone (HAZ) of SA508 Gr.4N Ni-Mo-Cr low alloy steel, which has higher Ni and Cr contents than SA508 Gr.3 Mn-Mo-Ni low alloy steel, was investigated on the microstructure and mechanical properties. The HAZ was categorized into seven characteristic zones (CGCG, FGCG, ICCG, SCCG, FGFG, ICIC and SCSC-HAZ) according to the peak temperature from the thermal cycle experienced during multi-pass welding. Post Weld Heat Treatment (PWHT) was conducted in the temperature range of $550{\sim}610^{\circ}C$ for 30 hours to evaluate the effect of PWHT conditions on the microstructure and mechanical properties. Before PWHT, CGHAZ and FGFGHAZ showed high yield strength (YS) ranging from 1000 to 1250 MPa, while YS of SCSCHAZ decreased from 607 MPa (observed for base metal) to 501 MPa. The Charpy impact energies of sub-HAZs fell below 100J at $-29^{\circ}C$, except in the SCSCHAZ. By applying PWHT to sub-HAZ specimens, YS decreased as the PWHT temperature increased. In the case of CGHAZs and FGFGHAZ heat-treated at $610^{\circ}C$, YS dropped drastically to the range of 654~686 MPa. From the Charpy impact test, the upper-shelf energy (USE) increased to approximately 250J and Index temperature ($T_{68J}$) decreased below $-50^{\circ}C$. Specifically, in FGFG, ICIC and SCSC-HAZ, $T_{68J}$ was below -110, which was lower than the case of base metal.

• Structural Engineering and Mechanics
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• v.77 no.1
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• pp.47-56
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• 2021

This paper deals with damage detection using a Gapped Smoothing Method (GSM) combined with deep learning. Convolutional Neural Network (CNN) is a model of deep learning. CNN has an input layer, an output layer, and a number of hidden layers that consist of convolutional layers. The input layer is a tensor with shape (number of images) × (image width) × (image height) × (image depth). An activation function is applied each time to this tensor passing through a hidden layer and the last layer is the fully connected layer. After the fully connected layer, the output layer, which is the final layer, is predicted by CNN. In this paper, a complete machine learning system is introduced. The training data was taken from a Finite Element (FE) model. The input images are the contour plots of curvature gapped smooth damage index. A free-free beam is used as a case study. In the first step, the FE model of the beam was used to generate data. The collected data were then divided into two parts, i.e. 70% for training and 30% for validation. In the second step, the proposed CNN was trained using training data and then validated using available data. Furthermore, a vibration experiment on steel damaged beam in free-free support condition was carried out in the laboratory to test the method. A total number of 15 accelerometers were set up to measure the mode shapes and calculate the curvature gapped smooth of the damaged beam. Two scenarios were introduced with different severities of the damage. The results showed that the trained CNN was successful in detecting the location as well as the severity of the damage in the experimental damaged beam.

• Applied Chemistry for Engineering
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• v.32 no.3
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• pp.260-267
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• 2021

In this study, a carboxylate-based anionic surfactant SLEC-3 was prepared from coconut oil and the structure was elucidated by using FT-IR, ¹H-NMR and ¹³C-NMR analysis. Measurements of interfacial properties such as critical micelle concentration, static and dynamic surface tensions, emulsification index, and foam stability have shown that SLEC-3 is better in terms of interfacial activity and more effective in lowering interfacial free energy than those of SLES, which has been widely used as a conventional anionic surfactant in the detergent industry. Biodegradability, acute oral toxicity and dermal irritation tests also revealed that SLEC-3 surfactant possesses excellent mildness and low toxicity, indicating the potential applicability in detergents and cleaner products formulation.

• Composites Research
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• v.34 no.1
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• pp.1-7
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• 2021

Fiber-reinforced thermoplastic composites are applied to transport industries to lightweight of body, and applications will be expanded gradually. In this study, the impregnation and mechanical properties of continuous glass fiber (GF) reinforced polycarbonate (PC) composites were evaluated with different molecular weights of PC. The continuous GF reinforced PC composite were prepared by using GF fabric and PC film via continuous compression molding method. The melting flow index and tensile strength of PC matrix were evaluated with different molecular weights. Mechanical properties (tensile, flexural, and compressive) and pore rate of GF/PC composite were evaluated with different molecular weights of PC. The fracture behavior was analyzed to fracture surface of GF/PC composite using FE-SEM images. As these results, it was condition of representing the best mechanical property that the GF/PC composite was prepared by using PC of 20,000 g/mol as matrix.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.4
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• pp.29-46
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• 2020

The paper describes the quantitative and qualitative dimensions of artificial neural networks (ANN) in India in the global context. The study is based on research publications data (8260) as covered in the Scopus database during 1999-2018. ANN research in India registered 24.52% growth, averaged 11.95 citations per paper, and contributed 9.77% share to the global ANN research. ANN research is skewed as the top 10 countries account for 75.15% of global output. India ranks as the third most productive country in the world. The distribution of research by type of ANN networks reveals that Feed Forward Neural Network type accounted for the highest share (10.18% share), followed by Adaptive Weight Neural Network (5.38% share), Feed Backward Neural Network (2.54% share), etc. ANN research applications across subjects were the largest in medical science and environmental science (11.82% and 10.84% share respectively), followed by materials science, energy, chemical engineering and water resources (from 6.36% to 9.12%), etc. The Indian Institute of Technology, Kharagpur and the Indian Institute of Technology, Roorkee lead the country as the most productive organizations (with 289 and 264 papers). Besides, the Indian Institute of Technology, Kanpur (33.04 and 2.76) and Indian Institute of Technology, Madras (24.26 and 2.03) lead the country as the most impactful organizations in terms of citation per paper and relative citation index. P. Samui and T.N. Singh have been the most productive authors and G.P.S.Raghava (86.21 and 7.21) and K.P. Sudheer (84.88 and 7.1) have been the most impactful authors. Neurocomputing, International Journal of Applied Engineering Research and Applied Soft Computing topped the list of most productive journals.

• Journal of Astronomy and Space Sciences
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• v.39 no.1
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• pp.11-22
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• 2022

It is suggested that magnetosonic waves (also known as equatorial noise) can scatter radiation belt electrons in the Earth's magnetosphere. Therefore, it is important to understand the global distribution of these waves between the proton cyclotron frequency and the lower hybrid resonance frequency. In this study, we developed an empirical model for estimating the global distribution of magnetosonic wave amplitudes and wave normal angles. The model is based on the entire mission period (approximately 2012-2019) of observations of Van Allen Probes A and B as a function of the distance from the Earth (denoted by L^*), magnetic local time (MLT), magnetic latitude (λ), and geomagnetic activity (denoted by the Kp index). In previous studies the wave distribution inside and outside the plasmasphere were separately investigated and modeled. Our model, on the other hand, identifies the wave distribution along with the ambient plasma environment-defined by the ratio of the plasma frequency (f_pe) to the electron cyclotron frequency (f_ce)-without separately determining the wave distribution according to the plasmapause location. The model results show that, as Kp increases, the dayside wave amplitude in the equatorial region intensifies. It thereby propagates the intense region towards the wider MLT and inward to L^* < 4. In contrast, the f_pe/f_ce ratio decreases with increasing Kp for all regions. Nevertheless, the decreasing aspect differs between regions above and below L^* = 4. This finding implies that the particle energy and pitch angle that magnetosonic waves can effectively scatter vary depending on the locations and geomagnetic activity. Our model agrees with the statistically observed wave distribution and ambient plasma environment with a coefficient of determination of > 0.9. The model is valid in all MLTs, 2 ≤ L^* < 6, |λ| < 20°, and Kp ≤ 6.

• Nutrition Research and Practice
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• v.16 no.2
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• pp.248-259
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• 2022

BACKGROUND/OBJECTIVES: Adequate nutritional intake is essential for good health and well-being. We aimed to compare the nutrient intake from homemade meals, meals sourced externally ("eating out"), and meals from workplace foodservices, as well as the potential association between foodservices used and nutritional quality among adult Korean workers. SUBJECTS/METHODS: We used data from the Korea National Health and Nutrition Examination Survey, a nationwide cross-sectional survey on the health and nutritional status of the Korean population. Data from 6,845 workers aged 20-64 years were included. A survey on dietary behavior and nutrition was conducted using the 24-h dietary recall method. Nutritional quality was examined using the index of nutritional quality (INQ) score. Higher INQ scores reflected poorer nutritional quality, with insufficient intake of a higher number of nutrients. Multivariate linear regression was used to identify the association between the foodservices used and INQ scores after adjusting for other covariates. RESULTS: We found that foodservice users exhibited a higher 1-day intake of total energy and macronutrients (all P < 0.05) and lower INQ scores (P < 0.01) than non-users. The INQ scores for total daily meals decreased with the frequency of foodservice use (P < 0.01). A significant association was observed between the non-use of foodservices and INQ scores (β = 0.29, P < 0.01) after adjusting for other covariates. CONCLUSIONS: The use of workplace foodservices contributed to higher dietary nutritional quality among workers. This study highlights the importance of expanding the scope of workplace foodservices to promote higher nutritional quality and healthy dietary habits among workers.

• Journal of Practical Agriculture & Fisheries Research
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• v.22 no.1
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• pp.35-42
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• 2020

This study was conducted to investigate the photosystem II activities of Cercis chinensis by soil water condition. Drought stress was induced by withholding water and waterlogging treatments was immerging the pots for 15 days. Results showed that the relative activities per reaction center such as ABS/RC, TRo/RC and Dio/RC were significantly increased compared with the control group after 12 days in waterlogging treatments. Particularly, Dio/RC increased substantially under waterlogging stress, indicating that excessive energy was consumed by heat dissipation. Furthermore, the performance index on absorption basis(PI_abs) and responses to structural and functional PS II(SFI_abs) were dramatically decreased after 15 days in both the drought and waterlogging treatments, which reflects the relative reduction state of the photosystem II. These results of chlorophyll a fluorescence by OKJIP analysis show that the sensitive changes photosystem II activity. Thus, on the basis of our results that Cercis chinensis was exhibited a strong reduction of photosynthetic activity to waterlogging stress, and OKJIP parameters such as ABS/RC, DIo/RC, PI_abs and SFI_abs could be useful indicator to monitor the physiological states of Cercis chinensis under soil water condition.

• Journal of Animal Science and Technology
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• v.63 no.6
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• pp.1433-1442
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• 2021

In this study, Saccharomyces cerevisiae culture fluid (SCCF) has been added to a diet of lactating dairy cows to attempt to improve the ruminal fermentation and potentially increase the dry matter intake (DMI) and milk yield. This study was conducted to investigate the effects of SCCF on the milk yield and blood biochemistry in lactating cows during the summer. Twenty-four Holstein dairy cows were randomly assigned to one of four treatments: (1) total mixed ration (TMR-1) (Control); (2) TMR-1 supplemented with SCCF (T1); (3) TMR-2 (containing alfalfa hay) (T2); and (4) TMR-2 supplemented with SCCF (T3). SCCF (5 ml/head, 2.0×10⁷ CFU/mL) was mixed with TMRs daily before feeding to dairy cows. The mean daily temperature-humidity index (THI) during this trial was 76.92 ± 0.51 on average and ranged from 73.04 to 81.19. For particle size distribution, TMR-2 had a lower >19 mm fraction and a higher 8-9 mm fraction than TMR-1 (p < 0.05). The type of TMR did not influence the DMI, body weight (BW), milk yield and composition, or blood metabolites. The milk yield and composition were not affected by the SCCF supplementation, but somatic cell counts were reduced by feeding SCCF (p < 0.05). Feeding SCCF significantly increased the DMI but did not affect the milk yield of dairy cows. The NEFA concentration was slightly decreased compared to that in the control and T2 groups without SCCF. Feeding a yeast culture of S. cerevisiae may improve the feed intake, milk quality and energy balance of dairy cows under heat stress.

• Nutrition Research and Practice
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• v.15 no.3
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• pp.396-410
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• 2021

BACKGROUND/OBJECTIVES: High-quality meal intake, including snacks, is necessary for optimal development during adolescence. The purpose of this study was to evaluate the nutritional intake of adolescents and the quality of their diet according to snack type, eating location, and sleep hours. SUBJECTS/METHODS: A survey of middle school students living in Seoul and Gyeonggi province was conducted using questionnaires and the 24-h recall method to collect data on the 1-day dietary intake of the students from March to May, 2018. The data were analyzed using SPSS 23.0 and the CAN program. RESULTS: The average nutritional intake status among the respondents showed that the energy intake was lower than the recommended, showing 1,914.8 kcal for middle school boys and 1,752.7 kcal for girls. In terms of the nutritional intake status by gender, only the consumption of protein and niacin were significantly higher in boys than girls (P < 0.05). According to the sleep amounts, vitamin C intake was significantly higher in the sleep-deprived group than in the sleep-moderate or sleep-recommended group (P < 0.05), but the intake did not meet the recommendation in any group. The lower density nutrients found in the index of nutritional quality according to eating places were vitamin C, calcium, iron, and folic acid. School meals showed a higher nutritional density in protein, vitamin B₁, and niacin compared to convenience store meals (P < 0.05). CONCLUSIONS: This study suggested that sleep amount, and eating place affected the dietary quality of adolescents.