• 제목/요약/키워드: remote laboratory

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COVID-19으로 인해 촉발된 원격 실험 수업에 대한 과학교육 전문가들의 인식 (Science Education Experts' Perception of the Remote Laboratory Sessions Provoked by COVID-19)

  • 이경건;홍훈기
    • 한국과학교육학회지
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    • 제41권5호
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    • pp.391-400
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    • 2021
  • 본 연구에서는 COVID-19으로 인해 촉발된 원격 실험 수업에 대한 과학교육 전문가들의 인식을 조사하였다. 2021년 상반기에 물리교육, 화학교육, 생물교육, 지구과학교육 전문가 총 10인에 대한 반구조화된 질적 인터뷰를 수행하였다. 연구 결과, 과학교육 전문가들은 우선 원격 실험 수업을 예비교사교육의 일환으로서 이해하였으며 이를 통하여 기존에 관습적으로 진행되어 왔던 실험 교육의 목적을 재인식하게 되었다고 응답하였다. COVID-19으로 인한 원격 수업 실험의 현실에 관하여는 우선 핸즈온 경험의 부족으로 인한 학습 결손, 교수자 및 학습자의 상호작용 감소 우려, 교수자의 업무량 증가가 언급되었다. 그럼에도 불구하고 과학교육 전문가들은 원격 실험 수업의 적응적 실행 경험을 통해 이를 개선하기 위한 구체적인 방안들을 제시하기도 하였으며, 포스트 코로나 시대의 과학교육의 방향성을 제안하였다. 이에 연구자들은 원격 실험 수업을 핸즈온 수업의 미비한 방식이라기보다는 마인즈온 수업의 보완된 방식으로 이해할 때 이를 더 나은 형태로 설계 및 실행할 수 있는 가능성이 열릴 수 있다고 제안하고, 이와 관련한 추후 연구 주제를 제시하였다. 본 연구는 원격 실험 수업을 과학교육학의 관점에서 보다 심도 있게 이해할 수 있는 단서를 제공한다는 의의를 지닌다.

Design of a Cost-Effective Hybrid-Type PBEx Providing a High Power Budget in an Asymmetric 10G-EPON

  • Kim, Kwangok;Lee, Sangsoo;Lee, Jonghyun;Jang, Younseon
    • ETRI Journal
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    • 제34권6호
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    • pp.838-846
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    • 2012
  • This paper proposes a cost-effective hybrid-type power budget extender (PBEx) that can provide a high power budget of over 45 dB in an asymmetric 10-Gb/s Ethernet passive optical network (10/1G-EPON). The hybrid-type 10/1G-EPON PBEx comprises a central office terminal (COT) and remote terminal (RT) module supporting four channels and uses a coarse wavelength division multiplexing (CWDM) technology between the COT and RT for a reduction of fiber cost and efficient access network design. The proposed 10/1G-EPON PBEx can provide over a 40-km reach and 128-way split per CWDM wavelength with no modification of a legacy 10/1G-EPON system and can satisfy the error-free service in $10^{10}$ packet transmission.

Evaluating Modified IKONOS RPC Using Pseudo GCP Data Set and Sequential Solution

  • Bang, Ki-In;Jeong, Soo;Kim, Kyung-Ok
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.82-87
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    • 2002
  • RFM is the sensor model of IKONOS imagery for end-users. IKONOS imagery vendors provide RPC (Rational Polynomial Coefficients), Ration Function Model coefficients for IKONOS, for end-users with imagery. So it is possible that end-users obtain geospatial information in their IKONOS imagery without additional any effort. But there are requirements still fur rigorous 3D positions on RPC user. Provided RPC can not satisfy user and company to generate precision 3D terrain model. In IKONOS imagery, physical sensor modeling is difficult because IKONOS vendors do not provide satellite ephemeris data and abstract sensor modeling requires many GCP well distributed in the whole image as well as other satellite imagery. Therefore RPC modification is better choice. If a few GCP are available, RPC can be modified by method which is introduced in this paper. Study on evaluation modified RPC in IKONOS reports reasonable result. Pseudo GCP generated with vendor's RPC and additional GCP make it possible through sequential solution.

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An Automatic Approach for Geometric Correction of Landsat Images

  • Hwang, Tae-Hyun;Chae, Gee-Ju;Park, Jong-Hyun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.542-542
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    • 2002
  • Geometric correction is a critical step to remove geometric distortions in satellite images. For correct geometric correction, Ground Control Points (GCPs) have to be chosen carefully to guarantee the quality of corrected satellite images. In this paper, we present an automatic approach for geometric correction by constructing GCP Chip database (GCP DB) that is a collection of pieces of images with geometric information. The GCP DB is constructed by exploiting Landsat's nadir-viewing property and the constructed GCP DB is combined with a simple block matching algorithm for efficient GCP matching. This approach reduces time and energy for tedious manual geometric correction and promotes usage of Landsat images.

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Evaluation of Thermal and Water Stress on Vegetation from Satellite Imagery

  • Viau, Alain A.;Jang, Jae-Dong;Anctil, Francois
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.165-167
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    • 2003
  • To evaluate the thermal and water stress of vegetation canopy in Southern Qu$\'{e}$bec, leaf water status was evaluated from vegetation indices derived from SPOT VEGETATION images and surface temperature from NOAA AVHRR images. This study was conducted by investigating vegetation conditions for two different periods, from June to August, 1999 and 2000. The vegetation indices were integrated for the evaluating vegetation conditions as a new index, normalized moisture index (NMI). A trapezoid was defined by the NMI and surface temperature, and the thermal and water status of the vegetation canopy was determined according to separate small sections within the trapezoid.

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AN ANOMALY DETECTION METHOD BY ASSOCIATIVE CLASSIFICATION

  • Lee, Bum-Ju;Lee, Heon-Gyu;Ryu, Keun-Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.301-304
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    • 2005
  • For detecting an intrusion based on the anomaly of a user's activities, previous works are concentrated on statistical techniques or frequent episode mining in order to analyze an audit data. But, since they mainly analyze the average behaviour of user's activities, some anomalies can be detected inaccurately. Therefore, we propose an anomaly detection method that utilizes an associative classification for modelling intrusion detection. Finally, we proof that a prediction model built from associative classification method yields better accuracy than a prediction model built from a traditional methods by experimental results.

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BAYESIAN CLASSIFICATION AND FREQUENT PATTERN MINING FOR APPLYING INTRUSION DETECTION

  • Lee, Heon-Gyu;Noh, Ki-Yong;Ryu, Keun-Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.713-716
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    • 2005
  • In this paper, in order to identify and recognize attack patterns, we propose a Bayesian classification using frequent patterns. In theory, Bayesian classifiers guarantee the minimum error rate compared to all other classifiers. However, in practice this is not always the case owing to inaccuracies in the unrealistic assumption{ class conditional independence) made for its use. Our method addresses the problem of attribute dependence by discovering frequent patterns. It generates frequent patterns using an efficient FP-growth approach. Since the volume of patterns produced can be large, we propose a pruning technique for selection only interesting patterns. Also, this method estimates the probability of a new case using different product approximations, where each product approximation assumes different independence of the attributes. Our experiments show that the proposed classifier achieves higher accuracy and is more efficient than other classifiers.

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ONTOLOGY DESIGN FOR THE EFFICIENT CUSTOMER INFORMATION RETRIEVAL

  • Gu, Mi-Sug;Hwang, Jeong-Hee;Ryu, Keun-Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.345-348
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    • 2005
  • Because the current web search engine estimates the similarity of documents, using the frequency of words, many documents irrespective of the user query are provided. To solve these kinds of problems, the semantic web is appearing as a future web. It is possible to provide the service based on the semantic web through ontology which specifies the knowledge in a special domain and defines the concepts of knowledge and the relationships between concepts. In this paper to search the information of potential customers for home-delivery marketing, we model the specific domain for generating the ontology. And we research how to retrieve the information, using the ontology. Therefore, in this paper, we generate the ontology to define the domain about potential customers and develop the search robot which collects the information of customers.

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An Efficient Approach for Adaptation of MIPv6 in Roaming Environments

  • Jeong Yoon-su;Woo Sung-hee;Lee Sang-ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.341-344
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    • 2005
  • Mobile IPv6(MIPv6) allows a Mobile Node to talk directly to its peers while retaining the ability to move around and change the currently used IP address. One of the major issues regarding the basic Mobile IPv6 protocol is related to the handover management of a mobile node. This paper proposes efficient approach for adaptation of MIPv6 sing context information in roaming environments. To investigate on a efficient and secure handover procedure, proposed approach method will give us the following advantages: (l)the intention of context is to reduce latency, packet losses and avoid re-initiation of signaling to and from mobile nodes,(2) FMIPv6 aims to reduce handover latency due to IP protocol operations as small as possible in comparison to the inevitable link switching latency.

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A Estimating Model for Small and Medium Business Information Level

  • Kim byung Cheol;Woo Sung Ku;Ryu Keun Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.707-711
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    • 2004
  • We analyze the information level of local small and medium business in the base of Nolan's growth stage model. To estimate information level we do separate level analysis for six sections and integrated total level analysis. After analyzing information level of business, we focus on the factors of this result to understand the most influential environments. The local business we were studying are the third stage-control stage. But Organization of information department and Planning and control of information are the second stage. The number of computer system application field is very related to information level. We present the critical factors of information level of small and medium business.

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