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A Clustering Study of Young Children's Challenging Behaviors and Occurrence Rate through Age 2 to 5 (연령 증가에 따른 영유아 문제행동 발생율 군집화 연구)

  • Yoo, Soo Ok
    • Korean Journal of Child Studies
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    • v.34 no.6
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    • pp.57-75
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    • 2013
  • The purpose of this study was to examine changes in the rate of occurrence of challenging behaviors in young children according to their increase in age. The study is based on the responses of teachers in child care centers(N=246). They were asked which 38 types of challenging behavior occur most among ages 2, 3, 4, or 5 in young children's classrooms. The major results of this study were as follows. First, the occurrence rates of young children's challenging behaviors were classified into 5 clusters; decreased(Cluster 1, Cluster 2, Cluster 3), maintained(Cluster 4), or increased(Cluster 5) according to increases in their respective ages. Second, the behaviors such as throwing tantrums and biting, evident in Cluster 1, decreased very rapidly from a very high occurrence rate by age 3. The classroom culture maladjustment behaviors such as running aimlessly around the classroom and shouting, apparent in Cluster 2, had decreased rapidly from a high occurrence rate by age 4. The intentional classroom disruptive behaviors such as dropping objects to create noise and the peer culture maladjustment behaviors studied in Cluster 3 decreased gradually from a rate of medium occurrence by age 5. These results revealed the discontinuity which a few young children exhibit. Third, hurting others, observed in Cluster 4 maintained a low occurrence rate from age 2 until age 5. Using inappropriate language and threatening others in Cluster 5 increased gradually from a low occurrence at 2 to a high rate of occurrence at age 5. By carefully examining the change of young children's challenging behaviors on the basis of objective data in terms of the continuity/discontinuity and increased/decreased rate of diverse challenging behaviors, we will be better able help teachers and parents to plan the instruction, prevention and intervention of young children's challenging behaviors.

Influence of loading rate on flexural performance and acoustic emission characteristics of Ultra High Performance Concrete

  • Prabhat Ranjan Prem;Vignesh Kumar Ramamurthy;Vaibhav Vinod Ingle;Darssni Ravichandran;Greeshma Giridhar
    • Structural Engineering and Mechanics
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    • v.89 no.6
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    • pp.617-626
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    • 2024
  • The study investigated the behavior of plain and fibered Ultra-High Performance Concrete (UHPC) beams under varying loading conditions using integrated analysis of the flexure and acoustic emission tests. The loading rate of testing is -0.25 -2 mm/min. It is observed that on increasing loading rate, flexural strength increases, and toughness decreases. The acoustic emission testing revealed that higher loading rates accelerate crack propagation. Fiber effect and matrix cracking are identified as significant contributors to the release of acoustic emission energy, with fiber rupture/failure and matrix cracking showing rate-dependent behavior. Crack classification analysis indicated that the rise angle (RA) value decreased under quasi-static loading. The average frequency (AF) value increased with the loading rate, but this trend reversed under rate-dependent conditions. K-means analysis identified distinct clusters of crack types with unique frequency and duration characteristics at different loading rates. Furthermore, the historic index and signal strength decreased with increasing loading rate after peak capacity, while the severity index increased in the post-peak zone, indicating more severe damage. The sudden rise in the historic index and cumulative signal strength indicates the possibility of several occurrences, such as the emergence of a significant crack, shifts in cracking modes, abrupt failure, or notable fiber debonding/pull-out. Moreover, there is a distinct rise in the number of AE knees corresponding to the increase in loading rate. The crack mapping from acoustic emission testing aligned with observed failure patterns, validating its use in structural health monitoring.

Plasma Lipids and Fecal Excretion of Lipids in Rats Fed a High Fat Diet, a High Cholesterol Diet or a Low Fat/High Sucrose Diet (고지방식이, 고콜레스테롤식이, 저지방.설탕식이가 희쥐의 혈청지방 및 변지방에 미치는 영향)

  • 박옥진
    • Journal of Nutrition and Health
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    • v.27 no.8
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    • pp.785-794
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    • 1994
  • The effect of feeding various diets on plasma lipids, liver lipids, fecal excretion of lipids and triglyceride secretion rate was studied in Sprague-Dawley rats fed for 1 month diets containing high fat(40% of energy ; HF) high cholesterol(1% ; HC), low fat/high sucrose(70% ; HS) or control diet(CT). Weight gain in HS group but there were no differences in TG contents of HF or HC groups compared to CT group. Fecal excretion of lipid was higher in HC than in HF, HS and CT groups. Hepatic TG secretion was not significantly different in four dietary groups. Accordingly, hypertriglyceridemia shown in HS group does not seem to be resulted from the increased TG secretion rate.

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A Study on CFD Analysis to Investigate the Effects of Different Feed Rate into the High Temperature H2SO4 Transferring Pump at Fixed Frequency

  • Choi, Jung-Sik;Choi, Jae-Hyuk
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.20 no.3
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    • pp.304-311
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    • 2014
  • In this study, to apply hydrogen energy to ship engine and to generate effective hydrogen production, we investigated the effects of high temperature $H_2SO_4$ feed rate and cooling water rate to pump parts with fixed frequency needed to reciprocate motion and a simulation was conducted at each condition. In the fixed frequency and cooling water inlet flow rate of 0.5 Hz and 3.9 kg/s, we changed the high temperature $H_2SO_4$ flow rate to 47.46 kg/s (it is 105 % of 45.2 kg/s), 49.72 kg/s (110 %), and 51.98 kg/s (115 %). Also, at 0.5 Hz and 45.2 kg/s of frequency and high temperature $H_2SO_4$ flow, the thermal hydraulic analysis was performed at the condition of 95 % (3.705 kg/s), 90 % (3.51 kg/s), and 85 % (3.315 kg/s). In overall simulation cases, the physical properties of materials are more influential to the temperature increase in the pump part rather than the changes on the feed rate of high temperature $H_2SO_4$ and cooling water. A continuous operation of pump was also capable even if the excess feed of high temperature $H_2SO_4$ of about 15 % or the less feed of cooling water of about 15 % were performed, respectively. When the increasing feed of high temperature $H_2SO_4$ of up to 5 %, 10 %, and 15 % were compared with base flow (45.2 kg/s), the deviation of time period rose to a certain temperature and ranged from 0 to 4.5 s in the same position (same material). In case of cooling water, the deviation of time period rose to a certain temperature and ranged from 0 to 5.9 s according to the decreasing feed changes of cooling water at 5 %, 10 %, and 15 % compared to a base flow (3.9 kg/s). Finally, the additional researches related to the two different materials (Teflon and STS for Pitch and End-plate), which are concerned about the effects of temperature changes to the parts contacting different materials, are needed, and we have a plan to conduct a follow-up study.

Calculation of the Normal Operation Rate of Monitoring Hardware in the Long Tunnels of High-Speed and Urban Railways (고속 철도와 도시철도 장대터널 계측기기의 정상 작동율 산정 연구)

  • Woo, Jong-Tae
    • Journal of the Society of Disaster Information
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    • v.18 no.1
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    • pp.80-90
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    • 2022
  • Purpose: The objective of this study was to improve smart monitoring and monitoring management technology in long tunnels by investigating and analyzing the normal operation rates of monitoring hardware in the long tunnels of high-speed and urban railways. Method: This study evaluated, analyzed, and compared the normal operation rate of 6-8 types of monitoring hardware for each long tunnel, targeting three high-speed railway lines with a long tunnel (i.e., Suseo-Pyeongtaek Line, Gyeongbu Line, and Honam Line) and two urban railway groups with a long tunnel (i.e., Seoul Metro Lines 5, 6, and 7, and 9). Result: The rank of the normal operation rate of monitoring hardware was in the order of Suseo-Pyeongtaek High-Speed Railway (92.1%), Seoul Metro Lines 5, 6, and 7 (85.8%), Seoul Metro Line 9 (85.2%), Gyeongbu High-speed Railway (80.5%), and Honam High-speed Railway (46.7%). Conclusion: The mean normal operation rate of the monitoring hardware in the three high-speed railway long tunnels was 83.4%, and that of the two urban railway long tunnels was 85.5%, indicating that the deviation between them was small. The mean normal operation rate of the monitoring hardware in the long tunnels of the five high-speed and urban railway lines was 84.2%.

Improving Rate Control Algorithm for MPEG 4 Video (MPEG4 Video 부호화를 위한 비트율 제어 알고리즘 개선에 관한 연구)

  • 김소영;박정훈
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.25-28
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    • 2002
  • This paper presents variable bit rate(VBR) rate control scheme based on MPEG-4 VM8 rate control scheme. An initial Q searching method provides more accurate bit allocation for the first frame. A frame skipping and RD Model update scheme when coded frame quality is too low or high prevents image quality fluctuation.

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Effects of Lactation Stage and Milk Yield on Reproductive Performance in Holstein Dairy Cows (Holstein 젖소의 비유단계 및 산유량이 번식성적에 미치는 영향)

  • Baek, Kwang-Soo;Son, Jun-Kyu;Lim, Hyun-Joo;Yoon, Ho-Beak;Lee, Wang-Shik;Kim, Tae-Il;Hur, Tai-Young;Choe, Chang-Yong;Jung, Young-Hun;Ki, Kwang-Seok;Kwon, Eung-Gi;Jung, Yeon-Sub;Lee, Hyun-Min
    • Reproductive and Developmental Biology
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    • v.37 no.3
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    • pp.135-141
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    • 2013
  • This study aimed to improve the reproductive efficiency of dairy herds by comparison and analyzing estrous appearance rate, conception and non-conception rate according to the stage of lactation using the lactation and reproductive records of average (less than 10,000 liters milk in 305 days) and high yielding (more than 10,000 liters milk in 305 days) Holstein cows (n=102). Milk production and reproduction data were collected between January 2010 and December 2012 from Holstein cows kept in the commercial dairy farms. Average (n=32) and high yielding (n=24) Holstein cows used to analyze the relationship between milk yield and reproductive performance. Our results showed that estrous appearance rate according to the stage of lactation was 25.0% (30~59d), 40.6% (60~89d), 25% (90~110d) and 9.4% (>111d) in average yielding cows and 16.7% (30~59d), 20.8% (60~89d), 12.5% (90~110d) and 50.0% (>111d) in high yielding cows, respectively. Conception rate according to the stage of lactation was 87.5% (30~59d), 61.5% (60~89d), 75.0% (90~110d) and 66.7% (>111d) in average yielding cows and 25.0% (30~59d), 0% (60~89d), 33.3% (90~110d) and 50.0% (>111d) in high yielding cows, respectively. Days between parturition and conception was 23.7% (<149d), 0% (150~209d) and 0% (>210 d) in average yielding cows and 69.0% (<149 d), 77.8% (150~209d) and 38.9% (>210d) in high yielding cows, respectively. Conception rate from 110 days postpartum in high yielding cows was 41.7% (110~150d), 50.0% (151~180d) and 50.0% (>181d). Body condition score (BCS) in 120 days postpartum was $2.64{\pm}0.1$ in average yielding cows and $2.28{\pm}0.1$ in high yielding cows, respectively.

Proposal of a Hypothesis Test Prediction System for Educational Social Precepts using Deep Learning Models

  • Choi, Su-Youn;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.9
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    • pp.37-44
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    • 2020
  • AI technology has developed in the form of decision support technology in law, patent, finance and national defense and is applied to disease diagnosis and legal judgment. To search real-time information with Deep Learning, Big data Analysis and Deep Learning Algorithm are required. In this paper, we try to predict the entrance rate to high-ranking universities using a Deep Learning model, RNN(Recurrent Neural Network). First, we analyzed the current status of private academies in administrative districts and the number of students by age in administrative districts, and established a socially accepted hypothesis that students residing in areas with a high educational fever have a high rate of enrollment in high-ranking universities. This is to verify based on the data analyzed using the predicted hypothesis and the government's public data. The predictive model uses data from 2015 to 2017 to learn to predict the top enrollment rate, and the trained model predicts the top enrollment rate in 2018. A prediction experiment was performed using RNN, a Deep Learning model, for the high-ranking enrollment rate in the special education zone. In this paper, we define the correlation between the high-ranking enrollment rate by analyzing the household income and the participation rate of private education about the current status of private institutes in regions with high education fever and the effect on the number of students by age.

Research on surface coating of a solar collector using thermal spray foaming methodology for low cost (저가형 용사피막형성법 이용 태양열 집열판 표면 처리에 관한 연구)

  • Kim, Bu-Ahn;Choi, Kwang-Hwan;Roh, Sang-Hoon
    • Journal of the Korean Solar Energy Society
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    • v.26 no.3
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    • pp.9-16
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    • 2006
  • A solar collector surface coated with a low emission material is still imported from other developed countries expensively. Thus it is very significant to develop a new coating method with a cheap alternative coating material instead of the imported high-cost collector surface. A thermal spray method was adopted to coat a cheap Titania on a copper plate. Generally, a new coating on the copper plate was conducted successfully by selecting a proper ratio of carbon and acetylene. By measuring an absorption rate of solar and heat emission rate, all the plate types gained a high absorption rate of 98% approximately, more or less, but all of the types still have a high emission. Finally it was clear that more research is needed to advance the coated-plate to subdue the high emission from the hot plate surface and the higher the Titania's proportion is, the lower the emission is on the surface.

Development of high repetition rate and high power pulsed Nd:YAG laser power supply using ZCS resonant converter (ZCS공진형 컨버터를 적용한 고반복 대출력 펄스형 Nd:YAG 레이저 전원장치 개발)

  • Joe, K.Y.;Kim, E.S.;Byun, Y.B.;Kim, H.J.;Park, J.M.;Lee, H.W.
    • Proceedings of the KIEE Conference
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    • 1996.07a
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    • pp.514-517
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    • 1996
  • Zero current switching(ZCS) series resonant converter is used to control laser power density in a pulsed Nd:YAG laser power supply. The high power and high repetition rate paused Nd:YAG laser is designed and fabricated to control current pulse width and pulse repetition rate in the double elliptical laser oscillator. In order to find out operational characteristics of pulsed Nd:YAG laser, the electrical properties of driving power supply and laser output power are investigated and experimented by changing of the current pulse width from 200uS to 350uS(step 50uS) and pulse repetition rate range of 500pps(pulse per second) to 1150pps. From that result, we obtaind maximum efficiency of 1.83% and maximum laser output or 220W at the condition of 350 uS and 1150pps with one Nd:YAG rod), and obtained that of more than 400W with two laser head connecting series.

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