• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.107-112
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• 2022

Nowadays clusters are recognized as an important instrument for promoting industrial development, innovation, competitiveness and growth. An educational cluster is a set of interrelated vocational educational institutions of various levels that are united by industry with each other and are connected by partnership with industry enterprises. This article attempts to develop and describe cluster model of university students' multilingual training. The purpose of this study is to describe multilingual training of university students and their polycultural competencies formation and to define the process of multilingual training in form of a cluster. The authors consider clusters as an integral part of the educational campus within the concept framework of Shadrinsk State Pedagogical University. To determine the essence of the concept of a cluster model of university students' multilingual training, theoretical, empirical, observational, and diagnostic methods were implemented, such as a review of scientific literature, a compilation of best practices, observation, statistical methods, etc. The authors analyzed the programs of partner universities and organized international webinars and internships for bachelors and masters abroad and developed online courses "Foreign language for undergraduate students and masters". Experimental data obtained during the implementation of cluster training show the effectiveness of the formation of students' polycultural competencies.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.359-364
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• 2021

In recent years Hadoop usage has been increasing day by day. The need of development of the technology and its specified outcomes are eagerly waiting across globe to adopt speedy access of data. Need of computers and its dependency is increasing day by day. Big data is exponentially growing as the entire world is working in online mode. Large amount of data has been produced which is very difficult to handle and process within a short time. In present situation industries are widely using the Hadoop framework to store, process and produce at the specified time with huge amount of data that has been put on the server. Processing of this huge amount of data having small files & its storage optimization is a big problem. HDFS, Sequence files, HAR, NHAR various techniques have been already proposed. In this paper we have discussed about various existing techniques which are developed for accessing and storing small files efficiently. Out of the various techniques we have specifically tried to implement the HDFS- HAR, NHAR techniques.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.420-424
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• 2016

Recently, with the development of Internet technology and multi-media technology, the Internet is going to develop in many areas, a new application areas. In particular, in the area of education, has made a Epoch-making development in the Internet applications, it has presented the instructional methods of the new paradigm. Study using the online learning, instructional method of a conventional traditional new proposal that deviates from the off-line teaching, Unlike the existing off-line learning, without being bound by time and space, in terms of anytime, anywhere it is possible to attend the lecture, is a very efficient learning. Online lectures Despite many advantages, and containing a number of problems. In terms of space of the learning is performed on-line, there is a disadvantage that the student management and learning, the reliability of evaluation missing number. In this study, out of such a variety of problems, concentration to induce an active learning attitude of learners, learners of learning who attempt to increase the reliability and using the face detection system of attendance learning It proposed a degree system.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.473-478
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• 2022

Evaluation learning based on code testing is becoming a popular solution in programming education via Online judge(OJ). In the recent past, many papers have been published on how to detect plagiarism through source code similarity analysis to support OJ. However, deep learning-based research to support automated tutoring is insufficient. In this paper, we propose Input & Output side FiLM models to predict whether the input code will pass or fail. By applying Feature-wise Linear Modulation(FiLM) technique to GRU, our model can learn combined information of Java byte codes and problem information that it tries to solve. On experimental design, a balanced sampling technique was applied to evenly distribute the data due to the occurrence of asymmetry in data collected by OJ. Among the proposed models, the Input Side FiLM model showed the highest performance of 73.63%. Based on result, it has been shown that students can check whether their codes will pass or fail before receiving the OJ evaluation which could provide basic feedback for improvements.

• Journal of Engineering Education Research
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• v.6 no.2
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• pp.5-14
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• 2003

In this paper, we developed an efficient virtual experiment kit with creative and interactive multimedia contents, which can be used to enhance the quality of education in the area of digital logic circuits. Since our virtual experiment kit is implemented to describe the on-campus laboratory, the learners can obtain similar experimental data through it. Also, our web-based virtual experiment kit is designed to enhance the efficiency of both the learners and the educators. The learners will be able to achieve high learning standard and the educators save time and labor. The virtual experiment is performed according to the following procedure: (1) Circuit Composition on the Bread Board (2) Applying Input Voltage (3) Output Measurements (4) Checkout of Experiment Results. Furthermore, the circuit composition on the bread board and its corresponding online schematic diagram are displayed together on the virtual experiment kit for the learner's convenience. Finally, we have obtained several affirmative effects such as reducing the total experimental hours and the damage rate for experimental equipments and increasing learning efficiencies as well as faculty productivity.

• Proceedings of The KACE
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• 2017.08a
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• pp.135-137
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• 2017

비디오 강의를 활용한 온라인 학습은 교육 효과를 높이는 무한한 가능성을 가지고 있지만 온라인에서 학습자 주도로 이루어지기 때문에 학습 동기를 높이고 온라인 강의에 집중시킬 수 있는 도구의 개발이 필요하다. 또한 교수자는 온라인 환경 안에서 학습자가 실제로 학습을 수행했는지에 대한 여부를 쉽게 파악할 수 있는 도구의 개발이 필요하다. 본 논문은 학습자와 교수자의 요구를 만족 시킬 수 있는 단어게임 기반의 온라인 비디오 학습 자동 판단 시스템을 개발하였고, 시스템 검증을 위해 343명의 학습자를 대상으로 사용자 만족도 설문조사를 수행하였다. 설문 결과, 83%의 시스템 용이성, 73%의 시스템 만족도로 긍정적인 결과를 보였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.1089-1093
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• 2005

인터넷의 발전과 PC의 빠른 보급, 초고속 통신망의 급속한 확산 등에 따라 산업과 마찬가지로 전통적인 교육산업도 큰 변화를 격고 있다. 새로운 개념의 학습 방법인 인터넷이나 매체를 통한 온라인 학습이 오프라인 교육으로 대변되는 기존의 전통적인 교육 매체를 대체할 가능성과 상호보완적인 역할 가능성을 살펴보기 위하여 기존의 전통적인 교육 매체 수용자의 특성과는 다른 양상을 나타낼 온라인 학습 매체 이용자의 만족도와 충족도에 관하여 설문 조사하였다. SPSS 통계 프로그램으로 조사 결과를 분석하였고, 전체적인 신뢰계수는 0.89로 설문 결과의 신뢰성은 높게 나타났다.

• Annual Conference of KIPS
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• 2024.05a
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• pp.788-791
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• 2024

온라인 교육의 보급이 증가함에 따라 온라인 학습자의 중도이탈율을 줄이기 위한 효과적인 전략이 필요해 졌다. 본 논문은 인공지능 기술을 온라인 학습 분야에 적용하여 온라인 학습 중도 이탈 문제를 해결하고자 한다. 특히 온라인 교육기관에서 중도이탈예측 시스템을 이미 운영 중인 온라인교육시스템(LMS)을 새롭게 구축하거나 크게 변경하지 않고도 개발 또는 도입이 가능한 방안을 제시한다. 운영 중인 온라인교육시스템(LMS)에 저장되고 있는 온라인 학습자들의 학습자정보 및 학습 이력 데이터를 활용하여 중도 이탈 위험이 있는 학생을 식별하고 맞춤형 관리가 가능하도록 온라인 교육 중도 이탈예측 시스템 개발하고 LMS와 연동하여 서비스는 방법을 제안한다. 이를 통해 온라인교육기관에서는 중도이탈이 있는 학생을 효과적으로 관리함으로써 온라인 교육의 질을 향상시킬 수 있고, 더 많은 수의 온라인 학습자가 성공적으로 과정을 이수할 수 있도록 하는 데 기여할 것이다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.146-148
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• 2021

최근 온라인 교육 서비스 시장은 코로나 19 로 인해 수요가 급증하였다. 또한, 이동통신 기술의 발달로 그 규모가 확대되었고, 사용자는 시간과 장소에 구애 받지 않고 원하는 강의를 시청할 수 있게 되었다. 그러나 온라인 교육 환경에서는 아이디 공유를 통해 강의를 부정 시청하는 사례가 빈번하게 발생하고 있다. 특히나 하나의 계정을 다수의 사용자가 공유하거나 타인에게 양도함으로써 온라인 교육 서비스 업체가 손해를 입거나 사용자의 개인정보가 유출될 수 있다. 따라서 본 논문에서는 온라인 강의 플랫폼에서 본인 인증을 강화하고 강의 부정 시청을 방지할 수 있는 시스템을 제안한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1206-1213
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• 2021

A drone invented for the military has been increased the range of application with the development of relevant technology, and it influences to include the private area. Currently, the use of drone has been increasing in many areas, such as agriculture, unmanned parcel service, production of image contents, and architecture. In 2021, South of Korea, a drone certificate system for drone flight is introduced and on operation. In case of drone flight with the maximum takeoff weight as 2kg or up, the flight experience and practical examination are required, whereas in case of drone lighter than 2kg, the online education qualification is enough to operate it without the flight experience and practical examination. Recently, the drone related accidents have been increasing with the rapidly supply of camera drones with the maximum takeoff weight as less than 2kg. This paper introduces the characteristics of the camera drone to meet burgeoning demand, and discusses an education plan for the camera drone.