• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.05a
• /
• pp.285-288
• /
• 2021

4차 산업혁명의 출현과 함께 스마트공장, 스마트시티, 스마트러닝 등이 등장하면서 스마트 물관리시스템과 그 평가지표의 연구개발이 주요 사회문제로 대두되고 있다. 따라서 본 논문에서는 스마트 물 관리시스템의 자동화 수준 평가지표를 제안하고자 한다. 그 세부 연구내용은 다음과 같다. 첫째, 기존의 CMM과 SPICE 소프트웨어 프로세스 평가모델과 스마트공장의 평가지표를 검토하고, 스마트 정수처리장의 개념을 살펴본다. 둘째, 제안하는 스마트 물관리시스템의 평가지표에는 정수장의 주요 공정에 따라 착수 공정, 약품투입 공정, 혼화·응집 공정, 침전 공정, 여과 공정, 소독 공정의 6개 평가영역으로 세분화 하였고, 각 평가영역별로 0에서 4까지의 5단계 평가수준으로 구분하여 제안하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.364-367
• /
• 2019

영유아에 대한 안전사고는 꾸준히 발생하는 추세지만, 부모의 지속적인 관심만큼 효과적인 해결방안은 발표되지 않고 있다. 이 문제를 해결하기 위해 유아용 모빌에 카메라를 장착하여 아기가 촬영되고 있는 영상을 임베디드 보드에 전송하고, 딥러닝과 영상처리를 통해 영유아의 안전 상황에 대한 판단을 진행한다. 실시간 영상 스트리밍 서비스만을 제공하는 기존의 스마트 모빌에 대한 차별성과 모빌의 동작 오류에 따른 영유아 무방비 상황 노출을 방지하기 위한 이중화 시스템이 적용된 영유아 사고 방지 스마트 모빌을 구현한 후, 성능 평가를 통해 본 시스템의 우수성을 입증했다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.01a
• /
• pp.241-242
• /
• 2023

본 논문에서는 딥러닝 소리 인식을 이용하여 실내에서 발생할 수 있는 다양한 소리를 시각적인 정보로 제공해주는 스마트허브 시스템을 제안한다. 인공지능 모델은 2D-CNN 구조를 활용하여 학습을 진행하였고, 스마트허브 하드웨어는 라즈베리파이를 이용하여 구현하였다. 제안된 시스템은 청각장애인을 위해 설계된 다양한 청각 정보를 시각 정보로 전달하는 다양한 제품을 하나로 대체할 수 있을 뿐만 아니라, 설치 및 운반이 간편하여 누구나 사용하기 쉬워서 활용도가 높을 것으로 기대된다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.12
• /
• pp.1890-1897
• /
• 2021

People counting is an important technology to provide application services such as smart home, smart building, smart car, etc. Due to the social distancing of COVID-19, the people counting technology attracted public attention. People counting system can be implemented in various ways such as camera, sensor, wireless, etc. according to service requirements. People counting system using WiFi AP uses WiFi CSI data that reflects multipath information. This technology is an effective solution implementing indoor with low cost. The conventional WiFi CSI-based people counting technologies have low accuracy that obstructs the high quality service. This paper proposes a deep learning people counting system based on WiFi CSI data. Data preprocessing using auto-encoder, data augmentation that transform WiFi CSI data, and a proposed deep learning model improve the accuracy of people counting. In the experimental result, the proposed approach shows 89.29% accuracy in 6 subjects.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.1
• /
• pp.208-220
• /
• 2015

This study analyze Online class's current condition in Smart era. And suggest better operation model based on Internet Architecture. This study focuses the condition of e-learning operation model in University online class. Especially, 'Time Check Idea' that using for attendance on e-learning class has some side effects. So this study would applied 'Qualitative Check Idea Concept' on e-learning class. Question Based System, QBS is example model. QBS is leading a Learner's participation in e-class by Making Quiz. These quizs are shared with other students and refer to studing contents. Practically operating Qualitative Concept model QBS on university e-class, we can seek for the effectiveness of Qualitative e-learning model QBS.

• The Journal of Korean Association of Computer Education
• /
• v.15 no.4
• /
• pp.41-49
• /
• 2012

Advanced ICT(Information and Communication Technology) and popularization of smart devices change our culture as well as our life style and it has changed the way of learning in education area. There have been some researches to make effective smart education systems based on ICT but few of them were designed by a solid concept of smart education. This is because there have been few researches on developing a conceptual model for smart education. The purpose of this study is to propose a conceptual model for smart education: CTLA(Creation, Teaching, Learning and Assessment) model. It includes activities of smart creation, smart teaching, smart learning, and smart assessment considering ICT environment for education and characteristics of digital natives.

• Smart Media Journal
• /
• v.12 no.11
• /
• pp.36-47
• /
• 2023

Industrial Control System(ICS), which controls facilities at major industrial sites, is increasingly connected to other systems through networks. With this integration and the development of intelligent attacks that can lead to a single external intrusion as a whole system paralysis, the risk and impact of security on industrial control systems are increasing. As a result, research on how to protect and detect cyber attacks is actively underway, and deep learning models in the form of unsupervised learning have achieved a lot, and many abnormal detection technologies based on deep learning are being introduced. In this study, we emphasize the application of preprocessing methodologies to enhance the anomaly detection performance of deep learning models on time series data. The results demonstrate the effectiveness of a Wavelet Transform (WT)-based noise reduction methodology as a preprocessing technique for deep learning-based anomaly detection. Particularly, by incorporating sensor characteristics through clustering, the differential application of the Dual-Tree Complex Wavelet Transform proves to be the most effective approach in improving the detection performance of cyber attacks.

• Journal of Service Research and Studies
• /
• v.6 no.4
• /
• pp.47-57
• /
• 2016

Open source has an amazing spread with the advent of smartphones. Open-source Moodle in e-learning areas are free of LMS (Learning Management System) and the most widely used worldwide, except for the black board commercial programs. One reason is well designed to support collaborative learning and interaction based on constructivist principles, which is the core principle of e-learning in particular that the theoretical basis of educational technology has a high educational effectiveness and benefits. This study examines the operational practices of collaborative learning using open source learning management system Moodle program. It introduces specific information to support the user of the collaborative learning. It looks at the advantages and singularity of collaborative learning in e-learning through examples shown. The purpose of this study is the importance of the relationship between learners and the importance of self-learning of collaborative learning through collaborative learning in a knowledge repository of Moodle. In addition, collaborative learning outcomes are is based on the motivation of learners and playfulness.

• KSCI Review
• /
• v.20 no.2
• /
• pp.31-35
• /
• 2012

• Smart Media Journal
• /
• v.11 no.4
• /
• pp.19-29
• /
• 2022

Recently, with the development of IoT technology, the number of farms using smart farms is increasing. Smart farms monitor the environment and optimise internal environment automatically to improve crop yield and quality. For optimized crop cultivation, researches on predict crop productivity are actively studied, by using collected agricultural digital data. However, most of the existing studies are based on statistical models based on existing statistical data, and thus there is a problem with low prediction accuracy. In this paper, we use various predition models for predicting the production and sales profits, and compare the performance results through models by using the agricultural digital data collected in the facility horticultural smart farm. The models that compared the performance are multiple linear regression, support vector machine, artificial neural network, recurrent neural network, LSTM, and ConvLSTM. As a result of performance comparison, ConvLSTM showed the best performance in R2 value and RMSE value.