• 제목/요약/키워드: Non Real-time

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Zoom을 이용한 실시간 비대면 수업에서 몰입과 학습성과에 미치는 요인에 관한 실증연구 (An Empirical Study on Factors Affecting Immersion and Learning Outcomes in Real-time Non-face-to-face Classes using Zoom)

  • 김나랑
    • 한국산업정보학회논문지
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    • 제27권2호
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    • pp.129-141
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    • 2022
  • 본 연구의 목적은 실시간 비대면 수업에서 학습몰입에 영향을 미치는 변수를 찾아내는데 있다. 이를 위해 Zoom 수업 경험이 있는 학생을 대상으로 2021년 11월 22일에서 2021년 12월 05일까지 설문조사를 실시하였다. 불성실한 응답을 한 설문지를 제외하고 117부를 구조방정식 모형으로 분석하였다. 분석결과 '흥미성'과 '상호작용 수준'이 '학습몰입'에 영향을 미치고 '학습몰입'은 '학습성과'에 긍정적인 영향을 미치는 것으로 나타났다. 본 연구의 의의는 실시간 비대면 수업에서 학습몰입에 영향을 미치는 변수를 실증적으로 분석하였다는 점에 있다. 후속 연구에서는 Zoom을 비롯한 다양한 플랫폼을 대상으로 학습몰입에 영향을 미치는 변수들에 대한 검증이 필요하다.

공장 환경에서의 무선 제언 시스템을 위한 센서네트워크의 동적 스케줄링 기법에 대한 연구 (Dynamic Scheduling Method of Wireless Control System in Factory Environment)

  • 이정일;김동성
    • 전자공학회논문지SC
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    • 제45권2호
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    • pp.45-54
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    • 2008
  • 본 논문에서는 근거리 저속 무선 기술인 IEEE 802.15.4 이용한 무선 제어 시스템의 구현을 위해 동적 스케줄링 및 전송 기법을 제안하였다. 제안된 스케줄링 기법은 공장 환경에서 주어진 시간 구간 내에 실시간 혼합 데이터(실시간 주기 데이터, 긴급 데이터, 비실시간 메시지 데이터)를 효율적으로 처리하는 기능을 제공한다. 이를 위하여 IEEE 802.15.4의 슈퍼프레임의 구조적 특징을 응용하여 실시간 혼합 데이터의 효율적인 전송을 위한 동적 스케줄링 기법을 설계했다. 제안된 기법은 실시간 및 비실시간 데이터간에 독립적인 처리 알고리즘을 적용하기 때문에 전체적인 제어 네트워크의 성능 향상을 가져올 수 있다. 제안된 알고리즘의 효용성을 증명하기 위하여 OPnet Modeler 기반의 IEEE 802.15.4 시뮬레이션 모델을 구현하고 주어진 주기 및 긴급 데이터를 이용하여 제안된 기법이 실시간성 향상에 기여함을 보였다.

실시간 진화 신경망 알고리즘을 이용한 전기.유압 서보 시스템의 적응 학습제어 (Adaptive Learning Control of Electro-Hydraulic Servo System Using Real-Time Evolving Neural Network Algorithm)

  • 장성욱;이진걸
    • 제어로봇시스템학회논문지
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    • 제8권7호
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    • pp.584-588
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    • 2002
  • The real-time characteristic of the adaptive leaning control algorithms is validated based on the applied results of the hydraulic servo system that has very strong a non-linearity. The evolutionary strategy automatically adjusts the search regions with natural competition among many individuals. The error that is generated from the dynamic system is applied to the mutation equation. Competitive individuals are reduced with automatic adjustments of the search region in accordance with the error. In this paper, the individual parents and offspring can be reduced in order to apply evolutionary algorithms in real-time. The feasibility of the newly proposed algorithm was demonstrated through the real-time test.

A Study on the Measurement of Voluntary Disclosure Quality Using Real-Time Disclosure By Programming Technology

  • Shin, YeounOuk;Kim, KiBum
    • International journal of advanced smart convergence
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    • 제7권2호
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    • pp.86-94
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    • 2018
  • This study focuses on presenting the IT program module provided by real - time forecasting and database of the voluntary disclosure quality measure in order to solve the problem of capital cost due to information asymmetry of external investors and corporate executives. This study suggests a model of the algorithm that the quality of real - time voluntary disclosure can be provided to all investors immediately by IT program in order to deliver the meaningful value in the domestic capital market. This is a method of generating and analyzing real-time or non-real-time prediction models by transferring the predicted estimates delivered to the Big Data Log Analysis System through the statistical DB to the statistical forecasting engine.

IEC 61850 프로토콜의 실시간성 향상을 위한 선점형 이더넷 컨트롤러 (Preemptive Ethernet Controller to Improve Real-Time Characteristics of IEC 61850 Protocol)

  • 이범용;박태림;박재현
    • 전기학회논문지
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    • 제59권10호
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    • pp.1923-1928
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    • 2010
  • The IEC 61850 protocol proposed for the interoperability between IEDs(intelligent electronic devices) adopts the prioritized switched ethernet as its communication channel because substation bus is utilized to exchange both real-time and non real-time messages. The prioritized switched ethernet uses IEEE 802.1Q/p QoS(Quality of Service) in addition to IEEE 802.3 ethernet to enhance the real-time characteristics. However, IEEE 802.1Q/p QoS has priority-blocking problem that occurs when higher-priority frame transmission request during lower-priority frame transmission. To resolve this problem, this paper proposes P(Preemptive)-Ethernet. P-Ethernet uses the modified IEEE 802.1Q/p frame format and new priority preemption mechanism. This paper also implements P-Ethernet controller using FPGA (Virtex-4) and MicroBlaze processor. From the implementation results, P-Ethernet controller shows a improved latency and jitter of transmission period compare to the normal ethernet controller.

실시간 적응 학습 제어를 위한 진화연산(II) (Evolutionary Computation for the Real-Time Adaptive Learning Control(II))

  • 장성욱;이진걸
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집B
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    • pp.730-734
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    • 2001
  • In this study in order to confirm the algorithms that are suggested from paper (I) as the experimental result, as the applied results of the hydraulic servo system are very strong a non-linearity of the fluid in the computer simulation, the real-time adaptive learning control algorithms is validated. The evolutionary strategy has characteristics that are automatically. adjusted in search regions with natural competition among many individuals. The error that is generated from the dynamic system is applied to the mutation equation. Competitive individuals are reduced with automatic adjustments of the search region in accord with the error. In this paper, the individual parents and offspring can be reduced in order to apply evolutionary algorithms in real-time as the description of the paper (I). The possibility of a new approaching algorithm that is suggested from the computer simulation of the paper (I) would be proved as the verification of a real-time test and the consideration its influence from the actual experiment.

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cGANs 기반 3D 포인트 클라우드 데이터의 실시간 전송 기법 (Real-time transmission of 3G point cloud data based on cGANs)

  • Shin, Kwang-Seong;Shin, Seong-Yoon
    • 한국정보통신학회논문지
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    • 제23권11호
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    • pp.1482-1484
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    • 2019
  • We present a method for transmitting 3D object information in real time in a telepresence system. Three-dimensional object information consists of a large amount of point cloud data, which requires high performance computing power and ultra-wideband network transmission environment to process and transmit such a large amount of data in real time. In this paper, multiple users can transmit object motion and facial expression information in real time even in small network bands by using GANs (Generative Adversarial Networks), a non-supervised learning machine learning algorithm, for real-time transmission of 3D point cloud data. In particular, we propose the creation of an object similar to the original using only the feature information of 3D objects using conditional GANs.

Cross-layer Dynamic Subcarrier Allocation with Adaptive Service Rate Control in SC-FDMA System

  • Ye, Fang;Su, Chunxia;Li, Yibing;Zhang, Xu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권10호
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    • pp.4823-4843
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    • 2017
  • In this paper, an improved utility-based cross-layer dynamic subcarrier allocation (DSA) algorithm is proposed for single carrier frequency division multiple access (SC-FDMA) system, which adopts adaptive service rate control (ASRC) to eliminate the service rate waste and improve the spectral efficiency in heterogeneous network including non-real-time traffic and real-time traffic. In this algorithm, furthermore, a first in first out (FIFO) queuing model with finite space is established on the cross-layer scheduling framework. Simulation results indicate that by taking the service rate constraint as the necessary condition for optimality, the ASRC algorithm can effectively eliminate the service rate waste without compromising the scheduling performance. Moreover, the ASRC algorithm is able to further improve the quality of service (QoS) performance and transmission throughput by contributing an attractive performance trade-off between real-time and non-real-time applications.

Rapid Detection of Enterobacter sakazakii Using TaqMan Real-Time PCR Assay

  • Kang, Eun-Sil;Nam, Yong-Suk;Hong, Kwang-Won
    • Journal of Microbiology and Biotechnology
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    • 제17권3호
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    • pp.516-519
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    • 2007
  • Enterobacter sakazakii is an emerging food pathogen, which induces severe meningitis and sepsis in neonates and infants, with a high fatality rate. The disease is generally associated with the ingestion of contaminated infant formula. In this study, we describe the development of a real-time PCR protocol to identify E. sakazakii using a TaqMan probe, predicated on the nucleotide sequence data of the 168 rRNA gene obtained from a variety of pathogens. To detect E. sakazakii, four primer sets and one probe were designed. Five strains of E. sakazakii and 28 non-E. sakazakii bacterial strains were used in order to ensure the accuracy of detection. The PCR protocol successfully identified all of the E. sakazakii strains, whereas the 28 non-E. sakazakii strains were not detected by this method. The detection limits of this method for E. sakazakii cells and purified genomic DNA were 2.3 CFU/ assay and 100 fg/assay, respectively. These findings suggest that our newly developed TaqMan real-time PCR method should prove to be a rapid, sensitive, and quantitative method for the detection of E. sakazakii.

Development of a Real-Time Soil Moisture Meter using Oscillation Frequency Shift Method

  • Kim, Ki-Bok;Lee, Nam-Ho;Lee, Jong-Whan;Lee, Seoung-Seok;Noh, Sang-Ha
    • Agricultural and Biosystems Engineering
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    • 제2권2호
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    • pp.63-68
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    • 2001
  • The objective of this study was to develop a real-time soil moisture meter using RF impedance. The impedance suchas capacitance and resistance (or conductance) was analyzed using parallel cylinder type capacitance probe(C-probe) and Q-meter (HP4342). The capacitance and conductance of soil increased as volumetric water content increased. The 5 MHz of modified Colpitts type crystal oscillator was designed to detect the capacitance change of the C-probe with moist soil. A third order polynomial regression model was proposed to describe the relationship between RF impedance and volumetric water content. The prototype real time moisture meter consisted of the C-probe, sample container, oscillator, frequency counter and related signal processing units. The calibration equation for measurement of volumetric moisture content of soil was developed and validated. The correlation coefficient and root mean square error between measured volumetric water content by oven method and predicted values by prototype moisture meter for unknown soil samples were 0.984 and 0.032$cm^3$$cm\^3$, respectively.

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