• Title/Summary/Keyword: 변환군

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Development and Application of Cognitive Scaffolding Tools for Enhancing the Integrated Science Process Skills of High School Students (고등학생들의 통합 탐구 기능 향상을 위한 인지적 스캐폴딩 도구 개발 및 적용)

  • Lee, Kiyoung;Heo, Junhyuk;Park, Jaeyong
    • Journal of The Korean Association For Science Education
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    • v.39 no.4
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    • pp.545-562
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    • 2019
  • The purpose of this study is to develop cognitive scaffolding tools and to explore their effects on integrated science process skills of high school students. For this purpose, we developed cognitive scaffolding tools including one kind of classroom instruction for training integrated process skills and two kinds of individual learning materials that students can selectively study according to their level of inquiry ability. In addition, we developed hypothetico-deductive inquiry tasks as a tool to investigate the level of students on the integrated process skills for pre-test and post-test respectively. In order to verify the effectiveness of the cognitive scaffolding tools, we conducted inferential statistics on the pre-and post-tests of the experimental group and control group to examine statistical significance of students' inquiry level change depending on the usage of the cognitive scaffolding tools. We also produced Wrightmaps based on Rasch model to compare the change of inquiry ability depending on usage of the cognitive scaffolding tools. As a result, the experimental group using the cognitive scaffolding tools showed a significantly higher scores in all the components of integrated process skills namely, designing inquiry, collecting data, analyzing data, and forming conclusion than the control group. In addition, students who used cognitive scaffolding tools improved their inquiry ability and showed a distinct transition to higher level in each component of the integrated process skills. The results of this study suggest that high school students need cognitive scaffolding to alleviate or eliminate the functional barriers they face in conducting scientific inquiries.

Metabolic Diseases Classification Models according to Food Consumption using Machine Learning (머신러닝을 활용한 식품소비에 따른 대사성 질환 분류 모델)

  • Hong, Jun Ho;Lee, Kyung Hee;Lee, Hye Rim;Cheong, Hwan Suk;Cho, Wan-Sup
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.354-360
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    • 2022
  • Metabolic disease is a disease with a prevalence of 26% in Korean, and has three of the five states of abdominal obesity, hypertension, hunger glycemic disorder, high neutral fat, and low HDL cholesterol at the same time. This paper links the consumer panel data of the Rural Development Agency(RDA) and the medical care data of the National Health Insurance Service(NHIS) to generate a classification model that can be divided into a metabolic disease group and a control group through food consumption characteristics, and attempts to compare the differences. Many existing domestic and foreign studies related to metabolic diseases and food consumption characteristics are disease correlation studies of specific food groups and specific ingredients, and this paper is logistic considering all food groups included in the general diet. We created a classification model using regression, a decision tree-based classification model, and a classification model using XGBoost. Of the three models, the high-precision model is the XGBoost classification model, but the accuracy was not high at less than 0.7. As a future study, it is necessary to extend the observation period for food consumption in the patient group to more than 5 years and to study the metabolic disease classification model after converting the food consumed into nutritional characteristics.

Expression of Human Heavy-Chain and Light-Chain Ferritins in Saccharomyces cerevisiae for Functional Foods and Feeds (Saccharomyces cerevisiae을 이용한 사람의 H-, L-ferritins 발현 연구)

  • Han, Hye-Song;Lee, Joong-Lim;Park, Si-Hong;Kim, Jae-Hwan;Kim, Hae-Yeong
    • Microbiology and Biotechnology Letters
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    • v.36 no.3
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    • pp.221-226
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    • 2008
  • To produce human ferritins in yeast, human H-chain and L-chain ferritins were amplified from previously cloned vectors. Each amplified ferritin gene was inserted into the pYES2.1/V5-His-TOPO yeast expression vector under the control of the GAL1promoter. Western blot analysis of the recombinant yeast cells revealed that H-and L-chain subunits of human ferritin were expressed in Saccharomyces cerevisiae. Atomic absorption spectrometry (AAS) analysis demonstrated that the intracellular content of iron in the ferritin transformant was 1.6 to 1.8-fold higher than that of the control strain. Ferritin transformants could potentially supply iron-fortified nutrients for food and feed.

Home-based OD Matrix Production and Analysis Using Mobile Phone Data (이동통신 자료를 활용한 가정기반 OD 구축 및 분석)

  • Kim, Kyoungtae;Oh, Dongkyu;Lee, Inmook;Min, Jae Hong
    • Journal of the Korean Society for Railway
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    • v.19 no.5
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    • pp.656-662
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    • 2016
  • Based on time dependent location data of mobile phone users, users' ODs were produced after tracing their travel route and inducing their origins and destinations. System considered average signalizing frequency, which means that the longer the travel length is the more frequent the signal is. This is a home-based OD and is limited to the Seoul Metropolitan area. The OD matrix from the mobile phone data which was aggregated to the cell and transformed to the 'Dong' area, was compared to the KTDB OD. The results can be analyzed and it was determined that they are highly correlated because individual coefficients are 0.98 and 0.85, the former between the OD of this study and the KTDB Si/Gun/Gu unit area OD and the latter between the OD of this study and the Dong unit area KTDB OD.

Numerical Representation of Hull Form Using Modified Cubic Spline (Modification Cubic Spline에 의한 선체형상의 수치적 표현)

  • W.S.,Kang;K.Y.,Lee;Y.C.,Kim
    • Bulletin of the Society of Naval Architects of Korea
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    • v.27 no.1
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    • pp.3-10
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    • 1990
  • Hull form can be described numerically by two approaches, one is to describe a hull form with a set of curves("curve approach"), and the other is to describe it with surfaces directly("surface approach"). This paper describes the numerical definition scheme of hull form using curve approach method which defines the hull form by a set of curves consisting of 2-dimensional transverse section curves and 3-dimensional longitudinal curves. A set of curves in the hull form definition scheme is described by the modified cubic spline which modified the general parametric cubic spline in order to ensure a very smooth curvature distribution within the curve segment even though a curve segment has large tangent angle at its end points. Illustrative examples are given showing the application of the method to represent the hull form of SWATH ship and oceanographic research vessel. Also, examples for hull form transformation are shown by using this method connected with transformation technique.

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Minimized Stock Forecasting Features Selection by Automatic Feature Extraction Method (자동 특징 추출기법에 의한 최소의 주식예측 특징선택)

  • Lee, Sang-Hong;Lim, Joon-S.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.2
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    • pp.206-211
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    • 2009
  • This paper presents a methodology to 1-day-forecast stock index using the automatic feature extraction method based on the neural network with weighted fuzzy membership functions (NEWFM). The distributed non-overlap area measurement method selects the minimized number of input features by automatically removing the worst input features one by one. CPP$_{n,m}$(Current Price Position of the day n: a percentage of the difference between the price of the day n and the moving average from the day n-1 to the day n-m) and the 2 wavelet transformed coefficients from the recent 32 days of CPP$_{n,m}$ are selected as minimized features using bounded sum of weighted fuzzy membership functions (BSWFMs). For the data sets, from 1989 to 1998, the proposed method shows that the forecast rate is 60.93%.

Robust Influenza Analysis Algorithm Based on Image Processing under Varying Radiometric Conditions (광원 환경에 강인한 영상 기반 인플루엔자 판독 기법)

  • Lee, Ji Eun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.127-132
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    • 2019
  • Influenza is an infectious disease caused by an influenza virus with symptoms of high fever and headache. Since influenza especially mutates into multiple subtypes in the carrier's body, it is a serious threat for mankind such as Spanish influenza. The treatment of influenza infection mandates the use of antiviral drugs through rapid diagnostic test. Generally, immunochromatography-based rapid influenza diagnostic tests are used for rapid diagnosis in an emergency. In this paper, we propose an influenza analysis algorithm based on image processing to examine a large number of patients suspected of being infected with influenza. Also, we propose a robust influenza analysis algorithm based on the joint cumulative mass function under varying radiometric conditions such as illuminant and exposure differences. Simulation results show that the proposed algorithm significantly reduces the error of influenza diagnosis under different radiometric conditions.

Implementation and Design of Wideband IFIU using Aperture Open Loop Resonator and Reversed Phase Technique (역 위상 기법과 Aperture를 갖는 개방형 루프 공진기를 사용한 광대역 IF 모듈 설계 및 제작)

  • 김영완
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.41 no.11
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    • pp.17-23
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    • 2004
  • The implementation and design of the wideband IFIU using aperture open loop resonator and reversed phase technique to reduce the local oscillator leakage signal was represented in this paper. The local oscillator leakage signal is generated in stage of frequency conversion, especially in frequency conversion of fully digital modulation signal close to DC signal. The leakage signal and spurious signals, which have effects on adjacent channel or in-band channel as interference signals, were reduced below -60 dBc for 45 Mbps and 155 Mbps IF interface units. The group delay for both IFIUs shows low ripple characteristics of 15 ns and 8 ns, respectively. Also, the amplitude ripple characteristic in 150 MHz bandwidth with L-band center frequency satisfies the required specification of 2 dB. The implemented IFIU provides the required specifications for wideband satellite communication system.

Dynamic Characteristic Change of the Cerebral Blood Volume in Cats Using Perfusion MR Imaging (MR 관류영상을 이용한 고양이 대뇌 혈류량의 동적특성 변화)

  • 박병래;김학진;전계록
    • Journal of Biomedical Engineering Research
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    • v.25 no.4
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    • pp.243-251
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    • 2004
  • This study was to quantitative analysis compare to dynamic characteristic change of the regional cerebral blood volume (rCBV) after development of cerebral fat embolism in cats using perfusion MR Imaging. Forty-four adult rats were used. Triolein (n = 15), oleic acid (n = 9) and linoleic acid (n = 11) were injected into the internal carotid artery using microcatheter through the transfemoral approach. Polyvinyl alcohol (Ivalon) (n = 9) was injected as a control group. Perfusion MR images were obtained at 30 minutes and 2 hours after embolization, based on T2 and diffusion-weighted images. The data was time-to-signal intensity curve and ΔR$_2$* curve were obtained continuously with the aid of home-maid image proc in.leased significantly at 2 hours compared with those of 30 minutes (P<0.005). In conclusion, cerebral blood flow decreased in cerebral fat embolism immediately after embolization and recovered remarkably in time course. It is thought that clinically informations to dynamic characteristic change of the cerebral hemodynamics to the early finding in cerebral infarction by DWI and PWI

Implementation of Regional Cerebral Blood Volume Map Using Perfusion Magnetic Resonance Image Process Algorithm (관류자기공명 영상처리 알고리즘을 이용한 대뇌 혈류량 맵의 구현)

  • Park Byung-Rae
    • The Journal of the Korea Contents Association
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    • v.5 no.5
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    • pp.296-304
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    • 2005
  • Quantitative analysis compare to dynamic characteristic change of the regional cerebral blood volume(rCBV) after development of cerebral fat embolism in cats using perfusion magnetic resonance(MR) Imaging. Twenty cats were used. Linoleic acid (n=11) were injected into the internal carotid artery using microcatheter through the transfemoral approach. Polyvinyl alcohol (Ivalon) (n=9) was injected as a control group. Perfusion MR images were obtained at 30 minutes and 2 hours after embolization, based on T2 and diffusion-weighted images. The data was time-to-signal intensity curve and ${\Delta}R_2^*$ curve were obtained continuously with the aid of home-maid image process algorithm and IDL(interactive data Banguage, USA) softwares. The ratios of rCBV increased significantly at 2 hours compared with those of 30 minutes (P<0.005). In conclusion, cerebral blood flow decreased in cerebral fat embolism immediately after embolization and recovered remarkably in time course. It is thought that clinically informations to dynamic characteristic change of the cerebral hemodynamics to the early finding in cerebral infarction by diffusion weighted imaging(DWI) and perfusion weighted imaging(PWI).

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