• Title/Summary/Keyword: AI운영

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A Comparative Study on Data Augmentation Using Generative Models for Robust Solar Irradiance Prediction

  • Jinyeong Oh;Jimin Lee;Daesungjin Kim;Bo-Young Kim;Jihoon Moon
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.11
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    • pp.29-42
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    • 2023
  • In this paper, we propose a method to enhance the prediction accuracy of solar irradiance for three major South Korean cities: Seoul, Busan, and Incheon. Our method entails the development of five generative models-vanilla GAN, CTGAN, Copula GAN, WGANGP, and TVAE-to generate independent variables that mimic the patterns of existing training data. To mitigate the bias in model training, we derive values for the dependent variables using random forests and deep neural networks, enriching the training datasets. These datasets are integrated with existing data to form comprehensive solar irradiance prediction models. The experimentation revealed that the augmented datasets led to significantly improved model performance compared to those trained solely on the original data. Specifically, CTGAN showed outstanding results due to its sophisticated mechanism for handling the intricacies of multivariate data relationships, ensuring that the generated data are diverse and closely aligned with the real-world variability of solar irradiance. The proposed method is expected to address the issue of data scarcity by augmenting the training data with high-quality synthetic data, thereby contributing to the operation of solar power systems for sustainable development.

A Case Study of SW Project English Teaching through PBL method in an Untact Environment (Untact 상황에서 PBL 교수법을 통한 SW 프로젝트 영어 지도 사례 연구)

  • Lee, Sungock;Kim, Minkyu;Lee, Hyuesoo;Jung, Hoekyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.514-517
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    • 2021
  • The purpose of this study is to discover the occupational identity by examining the narrative of the life of a vocational training teacher with self-esteem in programming fields. The following six types of occupational identity were found: 'a positive image of a vocational training teacher(fits oneself)', 'I feel proud of myself while doing vocational training activities.', 'a teacher who continues to develop him/herself as an expert in the subject class', 'a teacher who immerses him/herself as an expert on student change and growth', 'a teacher engaged in leading activities to create opportunities for vocational training', and 'a teacher of continuous pursuit'. This study has significance in exploring the structure of occupational identity recognition and experience of its formation of a self-esteemed vocational training teacher in programming fields, which have not been studied.

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Analysis on the Current Status of the Fourth Industrial Revolution-Oriented Curriculum of the Computer and Software-Related Majors Based on the Standard Classification (표준분류에 기준한 컴퓨터 및 소프트웨어 관련 전공의 제4차 산업혁명중심 교육과정 운영 현황 분석)

  • Choi, Jin-Il;Choi, Chul-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.3
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    • pp.587-592
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    • 2020
  • This paper analyzed the curriculum of computer and software-related majors educating the core IT-related skills needed for the 4th Industrial Revolution. The analysis was conducted on 158 majors classified as applied software, computer science and computer engineering according to the standard classification of university education units by the Standard Classification Committee of the Korean Council of University Education. The current status of introduction of curricular divided into the fields of Internet of Things(IoT) & mobile, cloud & big data, artificial intelligence(AI), and information security was analyzed among the contents of education in the relevant departments. According to the analysis, an average of 81.6% of the majors for each group of curricular organized related subjects into the curriculum. The Curriculum Response Index for the 4th industrial revolution(CRI4th) by major, calculated by weighting track operations by education sector, averaged 27.5 point out of 100 point. And the IoT & mobile sector had the highest score of 42.3 points.

An Education Plan for Camera Drone (촬영용 드론 교육 방안)

  • Park, Sung-Dae;Han, Kun-Young
    • 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.

A Study of Convergence Technology in Robotic Process Automation for Task Automation (업무 자동화를 위한 RPA 융합 기술 고찰)

  • Kim, Ki-Bong
    • Journal of Convergence for Information Technology
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    • v.9 no.7
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    • pp.8-13
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    • 2019
  • Recently, In line with the recent trend of the fourth industrial revolution, many companies and institutions have been increasingly applying automated technologies using artificial intelligence to various tasks. Particularly, due to the government's 52-hour workweek system, companies are increasingly struggling with manpower management. Therefore, they are interested in RPA (Robotic Process Automation) for office environment automation for efficient manpower management. It is being introduced in the back-office business in credit card companies, bank, insurance. These RPA solutions require AI-based recognition technology, scripting technology, business software API-related technologies, and various solutions such as Automate One, Automation Anywhere, UiPath, and Blue Prism are provided. This paper analyzes and describes the technology of RPA solution, the market trend, and the efficiency of RPA adoption.

Win-win cooperation for the development of small and medium-sized enterprises in food industry (식품산업에서 중소기업의 발전을 위한 상생협력)

  • Noh, Bongsoo
    • Food Science and Industry
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    • v.52 no.4
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    • pp.401-409
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    • 2019
  • The need for win-win cooperation between small and medium-sized enterprises and large corporations is emphasized. For the sustainable growth of a healthy industry, the attractive parts of large companies and the capabilities of small and medium-sized enterprises must be harmonized and shared. It was also examined what items large companies should consider in selecting small and medium-sized enterprises as a partner. In the case of food producers, when considering safety issues, a comprehensive safety system should be established, not just a single factor. And cooperation is expected between small and medium-sized enterprises and other partners with new technologies such as AI, IoT, 3D printers and 5G technology. It is suggested that corporate development can be achieved by various models through win-win cooperation between large companies and small and medium-sized enterprises.

A Study on LSTM-based water level prediction model and suitability evaluation (LSTM 기반 배수지 수위 변화 예측모델과 적합성 평가 연구)

  • Lee, Eunji;Park, Hyungwook;Kim, Eunju
    • Smart Media Journal
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    • v.11 no.5
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    • pp.56-62
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    • 2022
  • Water reservoir is defined as a storage space to hold and supply filtered water and it's significantly important to manage water level in the water reservoir so as to stabilize water supply by controlling water supply depending on demand. Liquid level sensors have been installed in the water reservoir and the pumps in the booster station facilitated management for optimum water level in the water reservoir. But the incident responses including sensor malfunction and communication breakdown actually count on manager's inspection, which involves risk of accidents. To stabilize draining facility management, this study has come up with AI model that predicts changes in the water level in the water reservoir. Going through simulation in the case of missing data in the water level to verify stability in relation to the field application of the prediction model for water level changes in the reservoir, the comparison of actual change value and predicted value allows to test utility of the model.

Analysis of Ventilation Impact in Multi-Family Residential Building Utilizing TOPSIS Method (다기준 의사결정방법을 이용한 공동주택 내 환기장치 종류별 효과분석)

  • Park, Kyung-Yong;Kim, Gil-Tae;Kim, Tae-Min;Ji, Won-Gil;Kwag, Byung-Chang
    • Land and Housing Review
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    • v.13 no.3
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    • pp.107-113
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    • 2022
  • With increasing airtight building construction aimed at reducing energy consumption, indoor relative humidity is increasing which can lead to condensation and moisture damage in multi-family residential buildings. This has led to increased implementation of mechanical ventilation to control indoor moisture. However mechanical ventilation systems consume additional energy and generate noise. As this leads to occupant discomfort, it is necessary to select a ventilation system that addresses the energy and noise issues. This research measured the ventilation performance, energy consumption, and noise level of mechanical ventilation devices in multi-family residential buildings. TOPSIS, a multi-criteria decision making technique was used to determine appropriate ventilation strategies in addition to occupant ventilation system operation preference.

A study on an artificial intelligence model for measuring object speed using road markers that can respond to external forces (외부력에 대응할 수 있는 도로 마커 활용 개체 속도 측정 인공지능 모델 연구)

  • Lim, Dong Hyun;Park, Dae-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.228-231
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    • 2022
  • Most CCTVs operated by public institutions for crime prevention and parking enforcement are located on roads. The angle of these CCTV's view is often changed for various reasons, such as bolt loosening by vibration or shocking by vehicles and workers, etc. In order to effectively provide AI services based on the collected images, the service target area(ROI, Region Of Interest) must be provided without interruption within the image. This is also related to the viewpoint of effective operation of computing power for image analysis. This study explains how to maximize the application of artificial intelligence technology by setting the ROI based on the marker on the road, setting the image analysis to be possible only within the area, and studying the process of finding the ROI.

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A Study on The Parking Management System for Urban Residents in Designated Parking Space Environment (주차 지정된 공용 환경에서 도심 생활자의 주차 관리시스템 연구)

  • Kang-Hyun Nam
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.877-884
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    • 2023
  • In this study, when another vehicle is parked in a designated space where a personal vehicle can park and a defined personal use time, an ultrasonic object recognition sensor is used to determine vehicle entry, and a camera sensor recognizes a license plate. If the vehicle is not recognized by the individual vehicle owner, the "private parking lot operation block" of the application server receives the individual phone number based on the National Police Agency's Vehicle Number Information Inquiry Open API. Afterwards, when parking is processed, the non-right holder receives the approval of the parking right holder, parks for the recognized time, and deposits the parking fee into the public account of the city hall. Through this study, it was possible to find an operation processing method that can most effectively manage parking in the city center in a private parking space recognized by the city hall.