• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.13-20
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• 2024

This paper introduces a method for generating model images that can identify specific cylindrical medicine containers in videos and investigates data collection techniques. Previous research had separated object detection from specific object recognition, making it challenging to apply automated image stitching. A significant issue was that the coordinate-based object detection method included extraneous information from outside the object area during the image stitching process. To overcome these challenges, this study applies the newly released YOLOv8 (You Only Look Once) segmentation technique to vertically rotating pill bottles video and employs the ORB (Oriented FAST and Rotated BRIEF) feature matching algorithm to automate model image generation. The research findings demonstrate that applying segmentation techniques improves recognition accuracy when identifying specific pill bottles. The model images created with the feature matching algorithm could accurately identify the specific pill bottles.

• Convergence Security Journal
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• v.24 no.3
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• pp.81-93
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• 2024

The purpose of this paper is to derive considerations when improving the Personal Information Protection Act based on the personal information protection life cycle of the generative artificial intelligence model as generative artificial intelligence models are introduced and used in Korea a lot. Through the study, the necessity of using open information in the collection stage, using personal information preservation technology in the learning stage, and preparing the basis for the development of protection technology in the holding stage was derived. It also revealed the necessity of managing the generated information in the generation and inference stage, re-learning in the limitation and destruction stage, and preparing a filtering basis. It is expected that the results of this study can be used to revise the Personal Information Protection Act and make policies in the future.

• Journal of Korea Multimedia Society
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• v.5 no.2
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• pp.167-175
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• 2002

Image Mosaicing creates a new image by composing video frames or still images that are related, and performed by arrangement, composition and redundancy analysis of images. This paper proposes a hierarchical image mosaicing system using camera and object parameters far efficient video database construction. A tree-based image mosiacing has implemented for high-speed computation time and for construction of static and dynamic image mosaic. Camera parameters are measured by using least sum of squared difference and affine model. Dynamic object detection algorithm has proposed for extracting dynamic objects. For object extraction, difference image, macro block, region splitting and 4-split detection methods are proposed and used. Also, a dynamic positioning method is used for presenting dynamic objects and a blurring method is used for creating flexible mosaic image.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1819_1820
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• 2009

본 논문에서는 로봇의 감정과 의사표현을 위해서 3D모델 기반의 시뮬레이션이 가능한 에디팅 툴킷을 이용하였고, 사람과 로봇의 감정 상호 작용과 로봇이 제공하는 서비스의 구현을 위해서 다양한 멀티모달 표현을 생성하였다. 로봇은 얼굴표정, 그리고 목과 팔의 움직임으로 멀티모달 표현을 하였으며, 멀티모달 감정/의사 표현을 구성하는 각 모달리티별 표현들은 에디팅 툴킷을 통하여 동기화되었다. 이렇게 생성된 로봇의 멀티모달 감정/의사 표현은 DB형태로 저장되고, 이를 재조합하고 수정하여 새로운 표현을 생성할 수 있도록 하였다.

• Proceedings of the KIEE Conference
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• 1999.07a
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• pp.440-442
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• 1999

본 연구에서는 전자연동장치의 확장성과 신뢰성 제고를 위해 전자연동장치의 실시간 연동전략으로 활용될 수 있는 연동 지식베이스를 자동 생성, 구축할 수 있는 지능형 연동지식베이스 자동 구축 소프트웨어(IIKBAGS)를 개발한다. IIKBAGS의 추론부는 주어진 역 모델의 동적탐색하에서 휴리스틱 규칙들의 우선순위에 따라 모든 진로를 탐색함은 물론 각 진로들에 대해 진로상 신호설비들간의 연쇄관계를 확인하여 연동패턴들을 자동생성하는 연동지식 자동생성기능을 가진다. 지식베이스는 전자연동장치상의 실시간 전문가 시스템이 직접적으로 활용할 수 있는 구조로 설계됨으로써 연동도표 입력과정에서 발생할 수 있는 오류를 배제, 연동장치의 정확성과 신뢰성을 높인다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.484-486
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• 2004

본 논문에서는 직접조작 방법을 이용하여 대화형 유전자 알고리즘(IGA)의 진화성능을 향상시키고 세대를 반복하면서 다양한 해를 얻을 수 있음을 NK-Landscape를 이용해 분석한다. 또한 NK모델을 이용하여 직접조작의 진화과정을 분석하기 위한 IGA 인터페이스를 생성한다. IGA를 이용한 진화는 특성상 적온 수의 개체와 세대수로 제한되기 때문에 지역해에 빠질 수 있는 문제점이 있다. 이러한 IGA 의 제약사창을 극복하는 방법으로 직접조작을 이용할 수 있으며 이 방법은 사용자가 원하는 개체를 생성할 수 있도록 진화과정에서 유전자를 직접 변경한다. IGA 에서 진화성능의 향상과 다양한 해외 생성을 분석하기 위하여 진화연산자인 교차, 돌연변이와 직접조작 방법의 성능을 비교 분석한다. Kauffman이 제안한 NK-Landscape로 진화과정에서 해공간이 얼마나 "ruggedness" 한지와 다양한 진화연산자에서 어떤 성능을 갖는지 분석할 수 있다 실험을 통해 3D 꽃 디자인 문제에서 NK-landscape기반 IGA인터페이스를 이용하여 IGA 해공간을 분석하고 교차, 돌연변이와 직접조작 방법의 성능을 비교함으로써 직접조작 방법으로 더 빠른 시간에 다양한 최적해를 찾을 수 있음을 알 수 있었다.

• Annual Conference of KIPS
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• 2024.10a
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• pp.515-516
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• 2024

본 연구에서는 복잡하고 방대하여 분석과 요약에 많은 시간이 소요되는 전장 상황의 시계열 로그 수치 데이터를 효율적으로 분석하는 방법론을 제시한다. 생성형 AI 인 ChatGPT API 를 사용해 데이터를 전처리 및 분석하는 모듈을 포함한 웹 애플리케이션 형태을 구현한다. 주요 기능은 데이터 업로드, 전처리, 분석, 분석 로그 조회 등으로, 이를 통해 사용자가 전장 데이터를 효율적으로 분석하고 유의미한 결과를 도출할 수 있도록 지원한다.

• Journal of Korean Society of Forest Science
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• v.102 no.4
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• pp.467-476
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• 2013

Site index information given from forest site map only exist in the sampled locations. In this study, site index for unsampled locations were estimated using kriging interpolation method which can interpolate values between point samples to generate a continuous surface. Site index of Pinus densiplora in Danyang area were calculated using Chapman-Richards model by plot unit. Then site index for unsampled locations were interpolated by theoretical variogram models and ordinary kriging. Also in order to assess parameter selection, cross-validation was performed by calculating mean error (ME), average standard error (ASE) and root mean square error (RMSE). In result, gaussian model was excluded because of the biggest relative nugget (37.40%). Then spherical model (16.80%) and exponential model (8.77%) were selected. Site index estimates of Pinus densiplora throughout the entire area in Danyang showed 4.39~19.53 based on exponential model, and 4.54~19.23 based on spherical model. By cross-validation, RMSE had almost no difference. But ME and ASE from spherical model were slightly lower than exponential model. Therefore site index prediction map from spherical model were finally selected. Average site index from site prediction map was 10.78. It can be expected that regional variance can be considered by site index prediction map in order to estimate forest biomass which has big spatial variance and eventually it is helpful to improve an accuracy of forest carbon estimation.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.3
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• pp.395-402
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• 2015

In this paper, we propose an efficient gait trajectory generation method for the static stair climbing of a quadruped robot with mechanism of insectile legs, which has no collision with staris. First, we derive the kinematic and inverse models of a quadruped robot using the algebraic and geometrical methods, respectively. In the proposed method, we generate the stair locomotion trajectory of a sine wave after lifting a leg from the start position, and then determine the coefficient of the generated trajectory to avoid the collision with stairs. In addition, we make the gait sequence for the stable stair locomotion. Finally, we verify the effectiveness and applicability of the proposed stair locomotion method through computer simulations.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.12
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• pp.981-988
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• 2021

This paper presents a decentralized guidance algorithm for swarm flight of fixed-wing UAVs (Unmanned Aerial Vehicles). Considering swarm flight missions, we assume four representative swarm tasks: gathering, loitering, waypoint/path following, and individual task. Those tasks require several distinct maneuvers such as path following, flocking, and collision avoidance. In order to deal with the required maneuvers, this paper proposes an integrated guidance algorithm based on vector field, augmented Cucker-Smale model, and potential field methods. Integrated guidance command is synthesized with heuristic weights designed for each guidance method. The proposed algorithm is verified through flight tests using up to 19 small fixed-wing UAVs.