• Title/Summary/Keyword: experimental modules

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A Study on the Development of a Modular Multimedia Instruction Materials for the 1.earning of Molecular Unit in Nature Instruction of Elementary School (초등학교 자연과의 분자 단원 학습을 위한 모듈식 멀티미디어 교수학습 자료 개발 연구)

  • 박종욱;김도욱
    • Journal of Korean Elementary Science Education
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    • v.19 no.1
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    • pp.101-112
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    • 2000
  • The purpose of this study was to develop the modular multimedia instructional materials emphasizing the particulate nature on the realm of matter in elementary science classes. Features of the material are as follows: 1 To be in focus on particulate model named 'phenomenal magnifying glasses' in order to change the student's belief system of continuous matter into the belief system of particulate matter . The 'phenomenal magnifying glasses' is a new instructional strategy designed to change into the view of particulate matter through facilitating the reflective thinking resulted from the simultaneous consideration of experimental phenomena(macroscopic world) and particulate model(microscopic world). 2. To introduce modular system into the instructional materials, which was consisted of 14 subunits according to the sequential instruction unit of 'molecule and molecular motion'. Each subunit was composed of 5 types of modules(module 1: motivation, module 2: experimental result, module 3: discussion, module 4: phenomenal magnifying glasses, module 5: related experiment) 3. The multimedia program was composed of 36 kinds of experimental animation and 59 kinds of computer animation materials combined with text resources, photographic materials and sounds.

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Spatial Focalization of Zen-Meditation Brain Based on EEG

  • Liu, Chuan-Yi;Lo, Pei-Chen
    • Journal of Biomedical Engineering Research
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    • v.29 no.1
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    • pp.17-24
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    • 2008
  • The aim of this paper is to report our preliminary results of investigating the spatial focalization of Zen-meditation EEG (electroencephalograph) in alpha band (8-13 Hz). For comparison, the study involved two groups of subjects, practitioners (experimental group) and non-practitioners (control group). To extract EEG alpha rhythm, wavelet analysis was applied to multi-channel EEG signals. Normalized alpha-power vectors were then constructed from spatial distribution of alpha powers, that were classified by Fuzzy C-means based algorithm to explore various brain spatial characteristics during meditation (or, at rest). Optimal number of clusters was determined by correlation coefficients of the membership-value vectors of each cluster center. Our results show that, in the experimental group, the incidence of frontal alpha activity varied in accordance with the meditation stage. The results demonstrated three different spatiotemporal modules consisting with three distinctive meditation stages normally recognized by meditation practitioners. The frontal alpha activity in two groups decreased in different ways. Particularly, monotonic decline was observed in the control group, and the experimental group showed increasing results. The phenomenon might imply various mechanisms employed by meditation and relaxation in modulating parietal alpha.

The effects of child abuse prevention education on parents' response to positive emotion, parenting stress, and child abuse potential: A randomized controlled pretest posttest design (아동학대 예방교육이 부모의 긍정정서 반응, 양육 스트레스, 아동학대 잠재성에 미치는 영향: 무작위 대조군 사전·사후 연구)

  • Kim, Mi Hyun;Park, Bu Kyung
    • The Journal of Korean Academic Society of Nursing Education
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    • v.30 no.1
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    • pp.19-28
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    • 2024
  • Purpose: The purpose of this study was to develop a child abuse prevention education program for parents. Furthermore, the aim was to investigate the impact of child abuse prevention education on parents' response to positive emotion, parenting stress, and potential for child abuse. Methods: A randomized controlled pretest posttest design was used. A total of 60 participants, who were parents with children aged 1~5 and attending 8 nurseries and kindergartens located in Daegu, were recruited. They were randomly assigned to an experimental group (n=30) and a control group (n=30). The collected data were analyzed by an independent t-test, paired t-test, and χ2-test along with descriptive statistics using IBM SPSS Statistics 25.0. Child abuse prevention education for the experimental group included four modules on child rights, understanding child abuse, proper child discipline, and positive parenting attitudes. Results: The experimental group showed a significant difference in positive rumination from the control group (t=2.15, p=.036). The experimental group reported a significant difference in dampening from the control group (t=-2.49, p=.016). Additionally, the experimental group reported a significant difference in parenting stress from the control group (t=-2.12, p=.038) and also reported significant differences in child abuse potential from the control group (t=-2.26, p=.028). Conclusion: The results of this study indicate that child abuse prevention education for parents can improve positive rumination, reduce dampening, and reduce parenting stress and child abuse potential. Therefore, this study is useful in demonstrating how parental susceptibility to child abuse can be decreased. Future studies should pursue long-term programs and counseling programs.

Rule-Based Fuzzy Polynomial Neural Networks in Modeling Software Process Data

  • Park, Byoung-Jun;Lee, Dong-Yoon;Oh, Sung-Kwun
    • International Journal of Control, Automation, and Systems
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    • v.1 no.3
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    • pp.321-331
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    • 2003
  • Experimental software datasets describing software projects in terms of their complexity and development time have been the subject of intensive modeling. A number of various modeling methodologies and modeling designs have been proposed including such approaches as neural networks, fuzzy, and fuzzy neural network models. In this study, we introduce the concept of the Rule-based fuzzy polynomial neural networks (RFPNN) as a hybrid modeling architecture and discuss its comprehensive design methodology. The development of the RFPNN dwells on the technologies of Computational Intelligence (CI), namely fuzzy sets, neural networks, and genetic algorithms. The architecture of the RFPNN results from a synergistic usage of RFNN and PNN. RFNN contribute to the formation of the premise part of the rule-based structure of the RFPNN. The consequence part of the RFPNN is designed using PNN. We discuss two kinds of RFPNN architectures and propose a comprehensive learning algorithm. In particular, it is shown that this network exhibits a dynamic structure. The experimental results include well-known software data such as the NASA dataset concerning software cost estimation and the one describing software modules of the Medical Imaging System (MIS).

A framework for distributed analytical and hybrid simulations

  • Kwon, Oh-Sung;Elnashai, Amr S.;Spencer, Billie F.
    • Structural Engineering and Mechanics
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    • v.30 no.3
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    • pp.331-350
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    • 2008
  • A framework for multi-platform analytical and multi-component hybrid (testing-analysis) simulations is described in this paper and illustrated with several application examples. The framework allows the integration of various analytical platforms and geographically distributed experimental facilities into a comprehensive pseudo-dynamic hybrid simulation. The object-oriented architecture of the framework enables easy inclusion of new analysis platforms or experimental models, and the addition of a multitude of auxiliary components, such as data acquisition and camera control. Four application examples are given, namely; (i) multi-platform analysis of a bridge with soil and structural models, (ii) multiplatform, multi-resolution analysis of a high-rise building, (iii) three-site small scale frame hybrid simulation, and (iv) three-site large scale bridge hybrid simulation. These simulations serve as illustrative examples of collaborative research among geographically distributed researchers employing different analysis platforms and testing equipment. The versatility of the framework, ease of including additional modules and the wide application potential demonstrated in the paper provide a rich research environment for structural and geotechnical engineering.

An experimental performance analysis of a cold region stationary photovoltaic system

  • Choi, Wongyu;Warren, Ryan D.;Pate, Michael B.
    • Advances in Energy Research
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    • v.4 no.1
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    • pp.1-28
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    • 2016
  • A grid-connected photovoltaic (PV) system comprised of multicrystalline silicon (mc-Si) modules was installed in a cold climate region in the U.S. This roof-mounted stationary PV system is a real-world application of PV for building energy generation in International Energy Conservation Code (IECC) Climate Zone 5 (and possibly similar climate zones such as 6, 7 and 8), and it served the purposes of research, demonstration, and education. The importance of this work is highlighted by the fact that there has been less emphasis on solar PV system in this region of the U.S. because of climate and latitude challenges. The system is equipped with an extensive data acquisition system capable of collecting performance and meteorological data while visually displaying real-time and historical data through an interactive online interface. Experimental data was collected and analyzed for the system over a one-year period with the focus of the study being on measurements of power production, energy generation, and efficiency. The annual average daily solar insolation incident upon the array was found to be $4.37kWh/m^2$. During the first year of operation, the PV system provided 5,801 kWh (1,264 kWh/kWp) of usable AC electrical energy, and it was found to operate at an annual average conversion efficiency and PR of 10.6 percent and 0.79, respectively. The annual average DC to AC conversion efficiency of the inverter was found to be 94 percent.

Application of the new ICRP iodine biokinetic model for internal dosimetry in case of thyroid blocking

  • Kwon, Tae-Eun;Chung, Yoonsun;Ha, Wi-Ho;Jin, Young Woo
    • Nuclear Engineering and Technology
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    • v.52 no.8
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    • pp.1826-1833
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    • 2020
  • Administration of stable iodine has been considered a best measure to protect the thyroid from internal irradiation by radioiodine intake, and its efficacy on thyroid protection has been quantitatively evaluated in several simulation studies on the basis of simple iodine biokinetic models (i.e., three-compartment model). However, the new iodine biokinetic model adopted by the International Commission on Radiological Protection interprets and expresses the thyroid blocking phenomenon differently. Therefore, in this study, the new model was analyzed in terms of thyroid blocking and implemented to reassess the protective effects and to produce dosimetric data. The biokinetic model calculation was performed using computation modules developed by authors, and the results were compared with those of experimental data and prior simulation studies. The new model predicted protective effects that were generally consistent with those of experimental data, except for those in the range of stable iodine administration -72 h before radioiodine exposure. Additionally, the dosimetric data calculated in this study demonstrates a critical limitation of the three-compartment model in predicting bioassay functions, and indicated that dose assessment 1 d after exposure would result in a similar dose estimate irrespective of the administration time of stable iodine.

The Design of Ultra-broadband Power Amplifier using a Negative Feedback (부궤환을 이용한 광대역 전력증폭기 설계)

  • Lee, Han-Young;Kim, Dae-Jung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.8
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    • pp.1572-1579
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    • 2009
  • In this dissertation ultra-broadband power amplifier(UPA) was designed and fabricated using negative feedback technique. UPA was made of pre-amplifier, drive amplifier and power amplifier. Negative feedback technique was used to achieve ultra-broadband performance. Designed power amplifier has 30dB gain and 2W output power. The load-pull data of power amplifier for optimal power matching was extracted from the measured S-parameter. Fabricated PCB material, permittivity is 4.6 and thickness is 0.8mm, is FR4 and UPA was fabricated 3 modules for comparison of the simulated and measured results. Size of the fabricated pre-amplifier and drive amplifier module is 40mm'50mm'16mm. And from the experimental results, gain of the pre-amplifier module is 9.87dB at 2GHz and flatness is 0.63dB. Experimental result of the drive amplifier module is 10.97dB at 2GHz and flatness of that is 0.26dB. Test result of the power amplifier module is 10.71dB at 2GHz and flatness is 0.72dB. Total size of the power amplifier is 45mm'134mm'16mm. According to the test results, gain of the UPA is 28.98dB at 2GHz and flatness is 1.68dB. Output power was 32.098dBm at 2GHz, 32.154dBm at 1GHz and 31.273dBm at 100MHz.

A numerical analysis of forced convection heat transfer in an electric oven (전기오븐의 강제대류 열전달 특성 연구)

  • Noh, Sun-Jong;Cho, Seong-Ho;Kim, Hyeong-Sik;Kwag, Dong-Seong
    • 한국전산유체공학회:학술대회논문집
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    • 2011.05a
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    • pp.124-128
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    • 2011
  • The heat transfer rate in an oven is very important for the quality of cooking food. For a robust performance design in an electric oven, forced convection has been used rather than natural convection, in bake and convection mode. Forced convection heat trans for in a vented electric oven has been numerically evaluated using the commercial software FLUENT. CFD modeling of the electric oven involves three-dimensional, steady state, MRF fan model and DO radiation model. In this study, the electric oven cavity and fan modules are not simplified. Other research shows that the boundary condition can often lead to non-physical solutions, such as reverse flaw at the top vent. To remove this non-physical solution, control volume has been expanded at the nearby vent. This numerical analysis has been performed with dedicated experimental support. The results show that there is less than a 2.2% difference between the simulation and experimental data for the temperature profile of food. From this research we can use this oven simulation technique to make a better convection system in an electric oven.

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Modeling of Fine Sediment Transport under Multiple Breakwaters of Surface-Piercing Type

  • Lee, J. L.;Oh, M. R.
    • Proceedings of the Korea Water Resources Association Conference
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    • 2004.05b
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    • pp.557-562
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    • 2004
  • A surface-piercing barrier model is presented for understanding morphological development in the sheltered region and investigating the main factors causing the severe accumulation. Surface-piercing structures like vertical barriers, surface docks and floating breakwaters are recently favored from the point of view of a marine scenario since they do not in general partition the natural sea. The numerical solutions are compared with experimental data on wave profiles and morphological change rates within a rectangular harbor of a constant depth protected by surface-piercing thin breakwaters as a simplified problem. Our numerical study involves several modules: 1) wave dynamics analyzed by a plane-wave approximation, 2) suspended sediment transport combined with sediment erosion-deposition model, and 3) concurrent morphological changes. Scattering waves are solved by using a plane wave method without inclusion of evanescent modes. Evanescent modes are only considered in predicting the reflection ratio against the vertical barrier and energy losses due to vortex shedding from the lower edge of plate are taken into account. A new relationship to relate the near-bed concentration to the depth-mean concentration is presented by analyzing the vertical structure of concentration. The numerical solutions were also compared with experimental data on morphological changes within a rectangular harbor of constant water depth. Through the numerical experiments, the vortex-induced flow appears to be not ignorable in predicting the morphological changes although the immersion depth of a plate is not deep.

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