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Effects of Playfulness Among Young Children at Home and Class Characteristics on Playfulness at Kindergarten (가정에서의 놀이성과 학급 특성이 유치원에서의 놀이성에 미치는 영향)

  • Kang, Hyun Soo;Shin, Nary
    • Korean Journal of Childcare and Education
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    • v.14 no.3
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    • pp.97-115
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    • 2018
  • Objective: This study aimed to analyse the influence of young children's playfulness at home and class characteristics on their playfulness at kindergarten. Methods: Twenty eight classes of 3, 4 and 5 year olds in Gyeonggi and Chungbuk provinces were recruited. Participants of this study were mothers and head teachers of the children of recruited classes. Analyses was implemented using hierarchical linear modeling with HLM 7.0. Results: Differences were found in children's playfulness at kindergarten according to their classes. Individual characteristics including, gender, age and playfulness at home were shown to have significant influences on playfulness at kindergarten, while relevance of variable class characteristics to playfulness at kindergarten was not observed. Conclusion/Implications: It is concluded that playfulness of children is more related to playfulness at home rather than class characteristics, implying the strong characteristic of playfulness as an individual trait.

INCLUSION PROPERTIES OF A CLASS OF FUNCTIONS INVOLVING THE DZIOK-SRIVASTAVA OPERATOR

  • Devi, Satwanti;Srivastava, H.M.;Swaminathan, A.
    • Korean Journal of Mathematics
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    • v.24 no.2
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    • pp.139-168
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    • 2016
  • In this work, we rst introduce a class of analytic functions involving the Dziok-Srivastava linear operator that generalizes the class of uniformly starlike functions with respect to symmetric points. We then establish the closure of certain well-known integral transforms under this analytic function class. This behaviour leads to various radius results for these integral transforms. Some of the interesting consequences of these results are outlined. Further, the lower bounds for the ratio between the functions f(z) in the class under discussion, their partial sums $f_m(z)$ and the corresponding derivative functions f'(z) and $f^{\prime}_m(z)$ are determined by using the coecient estimates.

Analysis of Satisfaction of Elementary School Students and Teachers for Software Practice Education in Real-Time Video Classes (실시간 화상 수업 환경에서 소프트웨어 실습 교육에 대한 초등학생 및 교사의 만족도 분석)

  • Kang, Doobong;Park, Hansuk
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.825-834
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    • 2021
  • This study analyzed learners' satisfaction and in-depth interviews with teachers after operating a software practical curriculum as a real-time video class for fifth and sixth graders in elementary school. The correlation between learner's presence, class overall, interaction, and real-time video class satisfaction showed that the positive correlation between presence, class overall, interaction, and satisfaction with real-time video classes was somewhat high. There were some differences in the real-time video class participation environment and real-time video class satisfaction, but it was not found to be statistically significant. In the case of teachers, it was difficult to respond to problems occurring in each student's individual environment, interactions between students, and individual feedback problems for a sluggish student. To solve this problem, opinions such as preliminary guidance and verification of real-time video class connection environment, error support for sluggish students and individual class participation environment, and feedback on individual tasks using LMS were suggested.

Class Determination Based on Kullback-Leibler Distance in Heart Sound Classification

  • Chung, Yong-Joo;Kwak, Sung-Woo
    • The Journal of the Acoustical Society of Korea
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    • v.27 no.2E
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    • pp.57-63
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    • 2008
  • Stethoscopic auscultation is still one of the primary tools for the diagnosis of heart diseases due to its easy accessibility and relatively low cost. It is, however, a difficult skill to acquire. Many research efforts have been done on the automatic classification of heart sound signals to support clinicians in heart sound diagnosis. Recently, hidden Markov models (HMMs) have been used quite successfully in the automatic classification of the heart sound signal. However, in the classification using HMMs, there are so many heart sound signal types that it is not reasonable to assign a new class to each of them. In this paper, rather than constructing an HMM for each signal type, we propose to build an HMM for a set of acoustically-similar signal types. To define the classes, we use the KL (Kullback-Leibler) distance between different signal types to determine if they should belong to the same class. From the classification experiments on the heart sound data consisting of 25 different types of signals, the proposed method proved to be quite efficient in determining the optimal set of classes. Also we found that the class determination approach produced better results than the heuristic class assignment method.

Multi-agent Negotiation System for Class Scheduling

  • Gwon Cheol Hyeon;Park Seong Ju
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.863-870
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    • 2002
  • The current class scheduling has difficulties in reflecting students' preferences for the classes that they want to take and forecasting the demands of classes. Also, it is usually a repetitive and tedious work to allocate classes to limited time and cesourres Although many research studios in task allocation and meeting scheduling intend to solve similar problems, they have limitations to be directly applied to the class-scheduling problem. In this paper. a class scheduling system using multi agents-based negotiation is suggested. This system consists of student agents, professor agents and negotiation agents each agent arts in accordance with its respective human user's preference and performs the repetitive and tedious process instead of the user The suggested system utilizes negotiation cost concept to derive coalition in the agent's negotiation. The negotiation cost is derived from users' bidding prices on classes, where each biding price represents a user's preference on a selected class. The experiments were performed to verify the negotiation model in the scheduling system. The result of the experiment showed that it could produce a feasible scheduling solution minimizing the negotiation cost and reflecting the users' performance. The performance of the experiments was evaluated by a class success ratio.

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Low Temperature Plastic Hardening Constitutive Equation for Steels of Polar Class Vessels (빙해선박 강재의 저온 소성경화 구성방정식)

  • Min, Dug-Ki;Heo, Young-Mi;Cho, Sang-Rai
    • Journal of the Society of Naval Architects of Korea
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    • v.49 no.3
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    • pp.227-231
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    • 2012
  • In this study, a plastic hardening constitutive equation for steels of polar class vessels at low temperature is proposed. The equation was derived using the experimental data obtained from tensile tests at room and low temperatures. Tensile tests at low temperature are both costly and time consuming because an expensive cold chamber is necessary and it takes too much time to cool down a specimen to set temperature. Using the proposed plastic hardening constitutive equation the plastic hardening characteristics of steels for polar class vessels at low temperature can be easily predicted from the tensile test results at room temperature.

Selecting Good Speech Features for Recognition

  • Lee, Young-Jik;Hwang, Kyu-Woong
    • ETRI Journal
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    • v.18 no.1
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    • pp.29-41
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    • 1996
  • This paper describes a method to select a suitable feature for speech recognition using information theoretic measure. Conventional speech recognition systems heuristically choose a portion of frequency components, cepstrum, mel-cepstrum, energy, and their time differences of speech waveforms as their speech features. However, these systems never have good performance if the selected features are not suitable for speech recognition. Since the recognition rate is the only performance measure of speech recognition system, it is hard to judge how suitable the selected feature is. To solve this problem, it is essential to analyze the feature itself, and measure how good the feature itself is. Good speech features should contain all of the class-related information and as small amount of the class-irrelevant variation as possible. In this paper, we suggest a method to measure the class-related information and the amount of the class-irrelevant variation based on the Shannon's information theory. Using this method, we compare the mel-scaled FFT, cepstrum, mel-cepstrum, and wavelet features of the TIMIT speech data. The result shows that, among these features, the mel-scaled FFT is the best feature for speech recognition based on the proposed measure.

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Design of High Efficiency Power Amplifier Using Adaptive Bias Technique and DGS (적응형 바이어스기법과 DGS를 이용한 고효율 전력증폭기설계)

  • Oh, Chung-Gyun;Son, Sung-Chan
    • 한국정보통신설비학회:학술대회논문집
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    • 2008.08a
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    • pp.403-408
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    • 2008
  • In this paper, the high efficiency and linearity Doherty power amplifier using DGS and adaptive bias technique has been designed and realized for 2.3GHz WiBro applications. The Doherty amplifier has been implemented us-ing silicon MRF 281 LDMOS FET. The RF performances of the Doherty power amplifier (a combination of a class AB carrier amplifier and a bias-tuned class C peaking amplifier) have been compared with those of a class AB amplifier alone, and conventional Doherty amplifier. The Maximum PAE of designed Doherty power amplifier with DGS and adaptive bias technique has been 36.6% at 34.01dBm output power. The proposed Doherty power amplifier showed an improvement 1dB at output power and 7.6% PAE than a class AB amplifier alone.

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Palatal vault configuration and its influence on intraoral scan time and accuracy in completely edentulous arches: a prospective clinical study

  • Dina Mohamed Ahmed Elawady;Wafaa Ibrahim Ibrahim;Radwa Gamal Ghanem;Reham Bassuni Osman
    • The Journal of Advanced Prosthodontics
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    • v.16 no.4
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    • pp.201-211
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    • 2024
  • PURPOSE. The aim of this prospective clinical study was to compare the influence of palatal vault forms on accuracy and speed of intraoral (IO) scans in completely edentulous cases. MATERIALS AND METHODS. Based on the palatal vault form, participants were divided into three equal groups (n = 10 each); Class I: moderate; Class II: deep; Class III: flat palatal vault. A reference model was created for each patient using polyvinylsiloxane impression material. The poured models were digitized using an extraoral scanner. The resultant data were imported as a solid CAD file into 3D analysis software (GOM Inspect 2018; Gom GmbH, Braunschweig, Germany) and aligned using the software's coordinate system to determine its X, Y, and Z axes. Five digital impressions (DIs) of maxilla were captured for each patient using an intraoral scanner (TRIOS; 3Shape A/S, Copenhagen, Denmark) and the resultant Standard Tessellation Language (STL) scan files served as test models. Trueness was evaluated by calculating arithmetic mean deviation (AMD) of the vault area between reference and test files while precision was evaluated by calculating AMD between captured scans to measure repeatability of scan acquisition. The scan time taken for each participant was also recorded. RESULTS. There was no significant difference in trueness and precision among the groups (P = .806 and .950, respectively). Average scan time for Class I and III palatal vaults was 1 min 13 seconds and 1 min 37 seconds, respectively, while class II deep palatal vaults showed the highest scan time of 5 mins. CONCLUSION. Palatal vault form in edentulous cases has an influence on scan time. However, it does not have a substantial impact on the accuracy of the acquired scans.

A Dynamic Priority Control Method to Support an Adaptive Differentiated Service in Home Networks (홈 네트워크에서 적응적 차등화 서비스를 위한 동적 우선순위 조절 기법)

  • 정광모;임승옥;민상원
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.7B
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    • pp.641-649
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    • 2004
  • We propose a dynamic traffic management model which uses adaptive priority reassignment algorithm to deliver service differentiation in home networks, and implement adaptive priority reassignment algorithm using FPGA. The proposed architecture is designed to handle home network traffic without the need for signaling protocol. We categorize home network traffic into three kinds of traffic class: control data traffic class, the Internet data and non-real-time data traffic class, and multimedia data traffic class (include non-real-time and real-time multimedia data traffic). To support differential service about these kinds of traffic class, we designed and implemented a traffic management framework that dynamically change each traffic class priority depending on bandwidth utilization of each traffic class.