Research
연구
A financial analysis-specialized AI composed of multiple, multipurpose, and multifunctional models
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This AI is a specialized tool in financial analysis, composed of multiple models that are multipurpose and multifunctional. It is designed to handle various tasks within the financial sector, such as predicting market trends, analyzing investment risks, and optimizing portfolios. The AI's versatility allows it to adapt to different financial scenarios and provide precise, data-driven insights, making it an invaluable asset for investors and financial analysts alike. Its multifunctional capabilities ensure that it can perform a wide range of financial analyses, making complex data more accessible and actionable for decision-making processes.
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Supporting Creators by Monetizing Photo Cards and Original Works: A Digital Platform
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This platform supports creators by allowing them to monetize digital goods like photo cards and original art, enabling them to pursue their creative dreams. It provides tools to manage sales and interactions, freeing artists to focus on creating.
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Sun Moon University Shuttle Bus Real-Time Location Information Service Solution
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The "Sun Moon University Shuttle Bus Real-Time Location Information Service Solution" offers real-time tracking of shuttle buses for students and faculty at Sun Moon University. This technology enhances campus transportation by providing immediate access to bus locations and route updates via a mobile app or website. Integrating GPS tracking with user-friendly interfaces, the service enables efficient commute planning, minimizes waiting times, and improves the overall transit experience for the university community
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Development of Health Monitoring and Diagnostic Technology for CANDU Reactor Fuel Channels Based on Machine Learning
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The project involves the development of a health monitoring and diagnostic technology specifically designed for CANDU reactor fuel channels, utilizing machine learning. This innovative technology aims to enhance the safety and efficiency of nuclear reactors by providing real-time analysis and predictive maintenance capabilities. By integrating machine learning algorithms, the system can accurately detect anomalies, predict potential failures, and suggest preventive measures. This proactive approach not only ensures the optimal functioning of the reactor but also significantly reduces the risk of unplanned downtimes and extends the lifespan of the fuel channels.
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Software Convergence Cluster 2.0 (Strengthening Specialized Industry)
2023–2024 · Principal Investigator (PI)
DNA stands for "Display and Alliance" and "Data, Network, A.I". In the era of the Fourth Industrial Revolution and hyper-connectivity, the focus is on integrating these DNA elements through software (SW) into Chungnam's specialized industries. The aim is to elevate the regional industrial structure from being ICT manufacturing-focused to one that emphasizes on ICT convergence through software
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- Ministry of Science and ICT (MIST) (#ITAS0721230110090001000200200)
- 규모
- $523,119
ITCEN-TMAX CNU SW ACADEMY
2022–2024 · Principal Investigator (PI)
IoT and Big Data Education Training Initiative: This is part of the SW Specialized Talent Training Project. In this initiative, universities and companies come together to design and implement comprehensive education programs specifically catered to the demands of the real-world market. The curriculum emphasizes on fostering expertise in key areas of the Information Technology industry such as Internet of Things (IoT) and Big Data.
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- Ministry of Science and ICT (MIST) (#2022001118)
- 규모
- $387,214
Diagnosis Support System using Mobile Sensor Data and Artificial Intelligence
2022–2025 · Principal Investigator (PI)
The main goal of the proposed research is to design and implement a diagnostic support system for remote monitoring and diagnosis using mobile technology, and to create data modeling and diagnostic deep learning models. The final outcome of this research is to provide a research resource base and diagnostic support model based on stored data by collecting users' mobile sensor data via a web-based collection (ETL: Extract Transform Load) and storing it in a cloud system.
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- National Research Foundation of Korea (RS-2022-00165749)
- 규모
- ₩75,000,000
Supporting Early Learning of Computational Thinking Using Mixed Reality Technology
2021-2024 · Advisory Board and Programming Project Manager
This project aims to provide an innovative mixed-reality environment that will combine a physically embodied humanoid robot and augmented reality (AR), where children in K-2 will engage in computational tasks embedded in their play with the robot. Through this hands-on experience, children will understand the concepts of sequences and symbols that are crosscutting and foundational to STEM literacy and problem solving. Also, grounded in embodied cognition and culturally responsive/sustainable pedagogy, this environment will invite every child equitably to AR-enhanced play with a robot playmate that is free from judgments and social biases, enabling children's positive affect about working with and on such cutting-edge technologies. Also, for this development research, advanced sensor technology will unobtrusively measure children's multimodal behaviors to assess children's learning and affect authentically
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- NSF-funded research (#2049109)
- 규모
- $642,621
Mobile Health System to Support Disease Diagnosis using Walking Movements
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The ultimate objective of this project is to develop a Disease Diagnosis Supporter System (D2S2) to support disease diagnosis using walking movements. Some diseases, such as mild Traumatic brain injury (mTBI), cognitive deficits, vision problems, Alzheimer's, are difficult to diagnose without medical equipment such as eye-link, MRI, CT, and force plate. Additionally, the patients don't receive proper treatments in time because these diseases generally don't present any visible or external wounds such as bleeding or fracture. So, it causes a second injury like accidental falls to patients as they lose body balance. So, the D2S2 can reduce such falls by sending real-time alerts to its users when they are out of balance Users also can self-diagnose their body balance by using the Disease Diagnosis Supporter (D2S) mobile application that we developed and avoid a possible second injury.
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- 규모
- $145,688
Implementing Mixed Reality for Inclusive and Embodied Learning Experience (IMRIEL)
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This project aims to provide an innovative mixed-reality environment that will combine a physically embodied humanoid robot and augmented reality (AR), where children in K-2 will engage in computational tasks embedded in their play with the robot. Through this hands-on experience, children will understand the concepts of sequences and symbols that are crosscutting and foundational to STEM literacy and problem solving. Also, grounded in embodied cognition and culturally responsive/sustainable pedagogy, this environment will invite every child equitably to AR-enhanced play with a robot playmate that is free from judgments and social biases, enabling children's positive affect about working with and on such cutting-edge technologies. Also, for this development research, advanced sensor technology will unobtrusively measure children's multimodal behaviors to assess children's learning and affect authentically.
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비공기압 타이제품 디자인 기술 개발
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Deep Learning 기법을 이용한 비공기압 타이어 휠 디자인 이미지 생성
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Bridging System and Market Service
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Tweeting about the Oscar-Winning Parasite: Intercultural Use of Country-of-Origin Frames
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This research view Twitter engagement as electronic Word of Mouth (eWOM), statements by consumers about a product, service or company that become available to a wider array of people online. Specifically, the current study analyzes how tweets in English and Korean discussed Parasite's Oscars win through the theoretical framework of Country of Origin (COO) and frames. COO—the country of manufacture, production or growth affects whether individuals decide to accept certain goods or not (Dichter, 1962). Considering the apparent lack of cross-cultural elements in COO research despite the importance of cultures, values, and languages in COO effects, this study first compares the relative prevalence of Parasite's COO in English and Korean tweets. Second, we compare the relative popularity of the cognitive, affective, and normative frames related to COO effects in English and Korean tweets
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협동로봇 센싱테이터 통합 모니터링 시스템
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협동로봇 DATA를 실시간으로 수집하여 저장/분석하는 방안 설계, 제어 데이터 저장/분석을 위한 구조 설계, 산업용 프로토콜 Ethernet/IP 를 위한 C++ 모듈 개발
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무인이동체용 UWB 센서 융합 Localization System 개발
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● 무인이동체(UGV & UAV)용 High Accuracy UWB Localization 센서 융합 알고리즘 개발 - UWB 및 IMU 센서를 이용한 Localization 시스템 개발 · UWB만을 사용하여 모바일 조작기 Localization system 구축 · 실내 환경에서 이 위치 측정 시스템의 정확성을 확인 후 센서융합기술인 UWB와 IMU를 이용한 모바일 조작기용 Localization system을 구축 · 실내 환경에서 위치 측정 시스템의 정확성에 대한 성능을 확인
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SW중심대학 공동 AI 경진대회
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- 심리학 테스트 데이터를 분석하여 "심리 성향을 예측"하는 알고리즘을 개발
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R.A.S.I.C. (Real Asset Split Investment Claims) Marketplace (제9회 대한민국 SW융합 해커톤 대회)
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금융소외계층 및 신생 스타트업의 연결고리. 소액거래가 가능한 자산위탁 및 동등한 소유권 및 배당 배분구조가 구축된 Market place
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결식아동을 위한 모바일 후원 서비스 (제9회 대한민국 SW융합 해커톤 대회)
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- 실시간 후원 서비스 : 결식아동이 아동급식카드로 결제한 부분과 후원자들이 실시간으로 후원한 부분이 합쳐져 음식이 결제되게 하는 서비스 - 일반 후원 서비스 : 평상시 후원자들이 결식아동을 후원할 수 있게 만들어진 서비스로, 실시간 후원 서비스가 이뤄지기 힘들 때, 이 서비스를 통해 저장된 후원금을 활용함 - 지도api를 활용한 서비스 : '선한영향력가게'와 급식카드 가맹점의 위치와 가게 정보를 공유하고 가게를 소개 및 홍보하는 서비스
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Education App for Middle Schooler
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Poverty가 높은 지역의 중학생들의 위한 교육 프로그램
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