• Journal of the Institute of Convergence Signal Processing
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• v.3 no.4
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• pp.57-61
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• 2002

We design Collision Avoidance System using model vehicle. The purpose of this system(Collision Avoidance System) is to maintain continuously constant distance between a forward running vehicle and a following automatic guided vehicle(AGV). For this system, we design modeling of vehicle and observe this through simulation. By sing super sonic sensors to measure the distance between vehicles and controller using 80c196kc for changing velocity of motor, we design Collision Avoidance System as maintaining continuously constant distance between vehicles.

• Review of KIISC
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• v.32 no.3
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• pp.33-39
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• 2022

전 세계적으로 다양한 피해를 입히고 있는 랜섬웨어는 사이버 공간에서 가장 위협적인 공격으로 인식되고 있다. 최근 랜섬웨어는 단순히 데이터를 암호화하는 것 뿐만 아니라 데이터 유출, DDoS 공격을 수행하는 등 고도화 되고 있다. 최근 랜섬웨어 공격 조직들은 서비스형 랜섬웨어를 제작/판매하고 있으며, 그에 따라 전문 지식이 없는 악의적인 사용자들도 랜섬웨어 공격이 가능한 실정이다. 본 논문은 지능화 되고 있는 랜섬웨어의 최신 동향을 분석하고 세대별 발전 방향을 살펴본다.

• Journal of Korea Spatial Information System Society
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• v.11 no.1
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• pp.189-194
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• 2009

With the rapid development of information and telecommunication technologies, the adoption of ubiquitous technologies is increasing for the realization of new effective u-City services. u-City is defined as a next-generation informatization city that can innovate a city's various functions, such as improving the welfare of the citizenry, ensuring safety based on systematic urban management, improving the quality of lives, and increasing convenience in city life, by merging cuttingedge information and telecommunication infrastructures and ubiquitous information services with urban space. There is therefore a need to recognize that a successful u-City implementation strategy involves developing the previous UIS into a ubiquitous technology-based UIS and integrating UIS's various urban informations with effective u-City services. In this paper, for UIS-based u-City implementation, the intelligent integration model of urban spatial information based on interoperability is proposed.

• Annual Conference of KIPS
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• 2021.05a
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• pp.305-307
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• 2021

군사 분야에서 사용하는 기존 영상융합체계는 영상에서 미확인 개체를 식별하는 Activity-Based Intelligence(ABI) 기술과 객체들에 대한 지식정보를 관리하는 Structured Observation Management(SOM) 기술을 연동하여 다양한 관점에서 분석하고 있다. 그러나 군사적인 목적을 달성하기 위해서는 미래 정보가 중요하기 때문에 주변 맥락 정보를 통합하여 분석해야 할 필요성이 있으며 이를 위해 주변맥락 정보를 분석하는 딥러닝 모델 적용이 필요하다. 본 논문에서는 딥러닝 모델 기반 영상 판독 시스템 구축을 하기 위한 전처리 과정을 설계하였다. pyhwp 라이브러리를 이용하여 영상 정보 판독 데이터를 파싱 및 전처리를 진행하여 데이터 구축을 진행하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.395-396
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• 2023

본 논문에서는 디지털 전환 시대에 모든 사람들이 인공지능(AI) 체험부터 피지컬컴퓨팅을 통해서 SW·AI 융합해 아이디어를 쉽게 구현하고 교육 받을 수 있는 플랫폼을 구현하였다. AI 체험을 위해 P5.js와 텐서플로우에 기반한 ML5.js 라이브러리를 이용해 블록 코딩을 할 수 있도록 하였다. 또한 피지컬컴퓨팅에서는 마이크로비트와 아두이노, 라즈베리파이 등을 WebUSB를 통해서 PC와 연결하고 플랫폼에서 인공지능의 다양한 서비스와 융합시킬 수 있도록 제공한다.

• Convergence Security Journal
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• v.21 no.1
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• pp.93-100
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• 2021

Damage caused by intelligent cyber attacks not only disrupts system operations and leaks information, but also entails massive economic damage. Recently, cyber attacks have a distinct goal and use advanced attack tools and techniques to accurately infiltrate the target. In order to minimize the damage caused by such an intelligent cyber attack, it is necessary to block the cyber attack at the beginning or during the attack to prevent it from invading the target's core system. Recently, technologies for predicting cyber attack paths and analyzing risk level of cyber attack using big data or artificial intelligence technologies are being studied. In this paper, a cyber attack path analysis method using attack tree and RFI is proposed as a basic algorithm for the development of an automated cyber attack path prediction system. The attack path is visualized using the attack tree, and the priority of the path that can move to the next step is determined using the RFI technique in each attack step. Based on the proposed mechanism, it can contribute to the development of an automated cyber attack path prediction system using big data and deep learning technology.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.687-692
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• 2024

The energy crisis is emerging as a serious problem around the world. In the case of Korea, there is great interest in energy efficiency research related to industrial complexes, which use more than 53% of total energy and account for more than 45% of greenhouse gas emissions in Korea. One of the studies is a study on saving energy through sharing facilities between factories using the same utility in an industrial complex called a virtual energy network plant and through transactions between energy producing and demand factories. In such energy-saving research, data collection is very important because there are various uses for data, such as analysis and prediction. However, existing systems had several shortcomings in reliably collecting time series data. In this study, we propose an intelligent IIoT platform to improve it. The intelligent IIoT platform includes a preprocessing system to identify abnormal data and process it in a timely manner, classifies abnormal and missing data, and presents interpolation techniques to maintain stable time series data. Additionally, time series data collection is streamlined through database optimization. This paper contributes to increasing data usability in the industrial environment through stable data collection and rapid problem response, and contributes to reducing the burden of data collection and optimizing monitoring load by introducing a variety of chatbot notification systems.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2003.11a
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• pp.79-82
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• 2003

방송용 콘텐츠가 디지털화되면서 고품질의 서비스가 가능해 졌으며, 통신망과의 융합을 통해 다양한 서비스가 가능해 질 것으로 전망된다. 또한, 시청자의 요구가 단순 시청에서 개인의 요구에 따른 방송을 시청하고 방송에 직접 참여할 수 있는 정보 선택 및 정보 맞춤형 서비스로 발전하고 있다. 이러한 시청자의 요구에 부합하기 위해 다양한 부가콘텐츠의 서비스 기술이 개발되고 있으며, 본 논문에서는 MPEG-4에 기반을 둔 객체기반 대화형 콘텐츠와 M[PEG-7에 기반한 메타데이터. MPEG-2 IPMP 데이터 등의 다양한 부가콘텐츠를 지능형방송 전송서버에서 효율적으로 사용할 수 있도록 제어정보를 생성하고, 부가콘텐츠들의 시공간적인 편집 기능을 수행하는 지능형방송 부가콘텐츠 제어정보 편집기를 설계하고 이의 구현결과를 보인다.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.41-49
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• 2024

The advancement of artificial intelligence on a global scale is significantly transforming life. In the field of education, there is a strong emphasis on actively utilizing AI and fostering creatively integrated talents with diverse knowledge. In alignment with this trend, there is a paradigm shift in AI education across primary, middle, high school, as well as university and graduate education. Leading AI schools and specialized high schools are dedicated to enhancing students' AI capabilities, while universities integrate AI into software courses or establish new AI departments to nurture talent. In AI-integrated education graduate programs, national efforts are underway to educate instructors from various disciplines on applying AI technology to the curriculum. In this context, specialized high schools are also restructuring their departments to cultivate technological talent in AI, tailored to students' characteristics and career paths. While the current education focuses primarily on the fundamental concepts and technologies of AI, there is a need to address the aspect of developing practical problem-solving skills. Therefore, this research aims to compare and analyze essential educational courses in AI-leading schools, AI-integrated high schools, AI high schools, university AI departments, and AI-integrated education graduate programs. The goal is to propose the necessary educational courses for AI education in specialized high schools, with the expectation that a more advanced curriculum in AI education can be established in specialized high schools through this effort.

• Journal of the KSME
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• v.46 no.5 s.306
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• pp.61-69
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• 2006

이 글에서는 최근 국민소득 2만불 시대의 견인차가 될 것으로 인식되어 10대 차세대 신성 장동력의 하나로 추진 중인 지능형 서비스 로봇의 산업 및 기술 동향을 분석하고 신성장동력으로서의 URC(Ubiquitous Robot Companion)의 개념과 관련 기술을 소개해 보고자한다.