• Title/Summary/Keyword: S-E-D Model

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Intergenerational Transmission of Attachment: Mother's Internal Working Model of Relationships and Infant Attachment Patterns (애착의 세대간 전이 - 어머니의 내적 실행모델과 영아의 애착유형 -)

  • Jang, Mi Ja;Choi, Bok Hee
    • Korean Journal of Child Studies
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    • v.20 no.1
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    • pp.147-164
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    • 1999
  • The purpose of this study was to investigate (1) intergenerational transmission from mother's internal working model of relationships formed in her childhood and infant's attachment patterns and (2) the associations among maternal working models, maternal sensitivity, and infant attachment patterns. The subjects were twenty 12- to 20-month-old infants and their mothers. The Adult Attachment Interview (1996) was used to assess mother's internal work model of relationships. Interviews were audio-recorded and transcribed verbatim. Each dyad was videotaped in the modified Ainsworth Strange Situation(1978) and filmed for 3 minutes in the Questionaire Situation of Smith and Pederson (1988). Mothers were classified as autonomous(F), dismissing(Ds), preoccupied(E), or unresolved/disorganized(Ud). Infants were classified as secure(B), insecure-avoidant(A), or insecure-resistant(C). Exact A/B/C/D and Ds/F/E/Ud agreement was observed in 55% of the dyads. Maternal sensitivity was related to infant attachment patterns but not to maternal working models.

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Application of Software Quality Model and Metric for Software Product Assurance for KASS Control Station (KASS 통합운영국 소프트웨어 품질 보증을 위한 소프트웨어 품질 모델 및 메트릭 적용방안)

  • Kim, Youn-sil;Lee, Eun-sung
    • Journal of Advanced Navigation Technology
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    • v.24 no.1
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    • pp.28-36
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    • 2020
  • Korea augmentation satellite system (KASS) is the Korean satellite based augmentation system (SBAS) developed by ministry of land, infrastructure, and transport (MOLIT) since 2014. Since KASS is the safety critical system that can affect to the safety of airplane, the software of KASS is developed according to the DO178B software level induced from safety analysis. In case of KASS control station (KCS), most of the software of KCS get assigned software level E in DO178B. In that case, ECSS-Q-ST-80C category D is assigned as a software product assurance standard. In this paper, the software related standard ECSS-E-ST-40C, ECSS-Q-HB-80-04A are analyzed to satisfy ECSS-Q-ST-80C and as a result the software product assurance activities regarding software life cycle and the software quality model, metric is proposed for the product assurance of the KCS software.

A Gaussian Mixture Model Based Pattern Classification Algorithm of Forearm Electromyogram (Gaussian Mixture Model 기반 전완 근전도 패턴 분류 알고리즘)

  • Song, Y.R.;Kim, S.J.;Jeong, E.C.;Lee, S.M.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.5 no.1
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    • pp.95-101
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    • 2011
  • In this paper, we propose the gaussian mixture model based pattern classification algorithm of forearm electromyogram. We define the motion of 1-degree of freedom as holding and unfolding hand considering a daily life for patient with prosthetic hand. For the extraction of precise features from the EMG signals, we use the difference absolute mean value(DAMV) and the mean absolute value(MAV) to consider amplitude characteristic of EMG signals. We also propose the D_DAMV and D_MAV in order to classify the amplitude characteristic of EMG signals more precisely. In this paper, we implemented a test targeting four adult male and identified the accuracy of EMG pattern classification of two motions which are holding and unfolding hand.

CORRELATION AMONG MORPHOLOGICAL CLASSIFICATIONS AND MASS TO LUMINOSITY (M/L) RATIONS OF EXTRA GALAXIES

  • Chun, Mun-Suk;Na, Kyung-Sun
    • Journal of Astronomy and Space Sciences
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    • v.7 no.2
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    • pp.73-103
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    • 1990
  • Morphological luminosity parameters$(\mu_e,\;r_e,\;\mu_0,\;\alpha^{-1})$ and D/B were estimated from the decomposition of surface brightness distributions of 28 extra galaxies. Decomposition was made using the standard non-linear least square fitting method and we used the seeing convolved model to get the central brightness of these galaxies. Masses and $M/L_B$ were calculated using rotational velocities of these galaxies from the fitting to the generalized Toomre's mass model.

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Superoxide Dismutase Mimetic Activity of Cu(II)-Salicylic Acid Analogs

  • Yong, Chul-Soon
    • Journal of Pharmaceutical Investigation
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    • v.22 no.3
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    • pp.65-76
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    • 1992
  • The superoxide dismutase (SOD)-mimetic activities of copper complexes of a series of salicylic acid (SA) analogs were tested and compared to the activity of bovine erythrocyte SOD using ferricytochrome c reduction assay. Stability constants of copper complexes were measured potentiometrically using SCOGS2 program. In the presence of 10 g/l albumin, all the copper complexes lost their SOD mimetic activities. Multiple regression analysis was employed for the statistical comparisons between the SOD mimetic activity and their physicochemical properties. Correlation exists for the SOD mimetic activity and steric parameter $(E_s)$ and/or electronic parameter $({\Sigma}{\sigma})$ in xanthine/xanthine oxidase (XOD) system, demonstrating that E, plays a key role in SOD activity whereas ${\Sigma}{\sigma}$ influences it to a lesser extent. The protective effect of copper complexes against membrane damage was measured by counting D-glucose released frm $EG_s$. D-glucose and XOD were entrapped within $EG_s$ and acetaldehyde was used as a substrate for XOD. In this membrane model system using $EG_s$, hydrophobic parameter $({\Sigma}{\pi})$ is of most importance, producing parabolic equation while $E_s$, and ${\Sigma}{\sigma}$ appear to playa minor role in protection against D-glucose release. In summary, to design an efficient SOD mimetic, stability, steric factor, lipophilicity and redox potential should be considered.

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Adhesion Force Analysis of Charged Particles for the E-paper (전자 종이용 하전 입자의 부착력 분석)

  • Kim, Seung-Taek;Kim, Hyung-Tae;Lee, Sang-Ho;Kim, Jong-Seok
    • Journal of the Semiconductor & Display Technology
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    • v.9 no.4
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    • pp.87-91
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    • 2010
  • Charged micro-particles are widely used as the key components for many electrical applications such as an e-paper, a touch panel, a printer toner and an electronic ink. Among them, the e-paper is an emerging reflective type display using the charged particles that has the advantages of the extremely low power consumption and sunlight readability. To create images on the e-paper, we confine black positively-charged and white negatively-charged particles between bottom and top electrodes and selectively apply the electric field. When the Coulomb force by an applied electric field is greater than the adhesion force between the charged particle and the electrode, the particles' transition happens resulting in the change of color between black and white. Therefore, the adhesion force is a very important factor for designing and estimating e-paper's operation. In this study, we constructed a basic model for particle's transition and an adhesion force equation describing particle's transition with three different forces: electrostatic image force, Van der Waals force and gravitational force. The simulation results showed that the gravitational force is negligible for the interesting range for the charge and the radius, and the adhesion force can be strongly dependent on the particle's charge and radius.

Lessons from Korean Innovation Model for ASEAN Countries Towards a Knowledge Economy

  • Ocon, Joey D.;Phihusut, Doungkamon;del Rosario, Julie Anne D.;Tuan, Trinh Ngoc;Lee, Jaeyoung
    • STI Policy Review
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    • v.4 no.2
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    • pp.19-40
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    • 2013
  • The Association of Southeast Asian Nations (ASEAN) achieved relatively rapid economic growth over the past decade. Sustainable growth among member states, however, is put into question due to macroeconomic challenges, political risk, and vulnerability to external shocks. Developed countries, in contrast, have turned into less labor-intensive technologies to further expand their economies. In this paper, we review the science, technology, and innovation (STI) policies and statuses of the scientific and technological capabilities of the ASEAN member countries. Empirical results based on STI indicators (R&D spending, publications, patents, and knowledge economy indices) reveal considerable variation between the science and technology (S&T) competence and effectiveness of STI policies of ASEAN members. We have categorized nations into clusters according their situations in their S&T productivity. Under the Korean Innovation Model, Cambodia, Laos, Myanmar, and Brunei are classified as being in the institutional-building stage, while Malaysia, Thailand, Indonesia, the Philippines, and Vietnam in the catch up stage, and Singapore in the post-catch up stage. Finally, policy prescriptions on how to enhance the S&T capabilities of the developing ASEAN countries, based on the South Korea development experience, are presented.

A Study on the Relation of Doping Profile and Threshold voltage in the Ion-Implanted E-IGFET(I) (Ion-Implanted E-IGFET의 Doping Profile과 Threshold 전압과의 관계에 관한 연구(I))

  • Son, Sang-Hui;O, Eung-Gi;Gwak, Gye-Dal
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.21 no.4
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    • pp.58-64
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    • 1984
  • A simple model for the impurity profile in an ion-implanted channel layer of an enhancement type IGFET is assumed and a simple expression for the threshold voltage derived by using the assumed impurity profile is analyzed in detail. Also, this simple model is applied to simulating the substrate bias dependence of its threshold voltage. Excellent agreement is obtained between theory and experiment on n-channel devices. The error range of threshold voltage between gaussian-profile and box-profile is calculated in this paper and a new method of calculating the depth of ion-implanted Baler D is also introduced.

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Enhancing Alzheimer's Disease Classification using 3D Convolutional Neural Network and Multilayer Perceptron Model with Attention Network

  • Enoch A. Frimpong;Zhiguang Qin;Regina E. Turkson;Bernard M. Cobbinah;Edward Y. Baagyere;Edwin K. Tenagyei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.11
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    • pp.2924-2944
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    • 2023
  • Alzheimer's disease (AD) is a neurological condition that is recognized as one of the primary causes of memory loss. AD currently has no cure. Therefore, the need to develop an efficient model with high precision for timely detection of the disease is very essential. When AD is detected early, treatment would be most likely successful. The most often utilized indicators for AD identification are the Mini-mental state examination (MMSE), and the clinical dementia. However, the use of these indicators as ground truth marking could be imprecise for AD detection. Researchers have proposed several computer-aided frameworks and lately, the supervised model is mostly used. In this study, we propose a novel 3D Convolutional Neural Network Multilayer Perceptron (3D CNN-MLP) based model for AD classification. The model uses Attention Mechanism to automatically extract relevant features from Magnetic Resonance Images (MRI) to generate probability maps which serves as input for the MLP classifier. Three MRI scan categories were considered, thus AD dementia patients, Mild Cognitive Impairment patients (MCI), and Normal Control (NC) or healthy patients. The performance of the model is assessed by comparing basic CNN, VGG16, DenseNet models, and other state of the art works. The models were adjusted to fit the 3D images before the comparison was done. Our model exhibited excellent classification performance, with an accuracy of 91.27% for AD and NC, 80.85% for MCI and NC, and 87.34% for AD and MCI.