• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.740-742
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• 2022

본 프로젝트에서는 다양한 지형에 구애받지 않고 전천후로 활동할 수 있는 로봇을 구현하기 위해 바퀴형 로봇 보다는 4족 보행 로봇을 채택하여 지형 극복에 더 유리하고 안정적인 자세 제어와 보행을 할 수 있는 동시에 LiDAR 센서와 카메라 모듈을 이용한 SLAM(동시적 위치 추정 및 지도작성)과 원격으로 사물과 사람들을 파악할 수 있는 원격조종 탐사로봇을 개발하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.664-666
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• 2022

현재 중고거래 시장은 빠르게 성장하고 있으며, 중고물품 거래는 쓰지 않는 물건을 나눠 쓰고 재사용하는 중고거래 문화로 하나의 지역 생활 트렌드로 자리 잡고 있다. 이에 따른 가장 큰 이점은 환경보호와 자원의 재활용이다. 따라서 본 연구는 사용자의 밀집도가 높은 대학교를 공략하여 중고거래를 활성화하려 한다. 편의성과 실용성 있는 서비스를 제공하기 위하여 파이어베이스와 T-map을 기반으로 안드로이드 프레임워크에서 사용하여 구현하였다. 본 애플리케이션의 주 서비스는 중고물품 거래, 실시간 채팅 그리고 위치 기반 서비스이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.229-229
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• 2023

블록체인은 보안성과 탈중앙화를 동시에 제공하는 자료구조 중 하나로, 데이터를 중앙 서버가 아닌 모든 참여자들이 동등한 위치에서 관리할 수 있기 때문에 데이터를 투명하고 신뢰성 있게 관리할 수 있다. 본 연구에서는 자율주행 자동차의 차량정보, 주행 중 생성되는 데이터를 블록체인에 저장하여 차량상태, 차량경로 등을 실시간으로 모니터링할 수 있으며 생성 데이터의 권리 보장, 보안성 강화를 위한 이더리움기반 Dapp을 개발한다.

• Journal of Advanced Navigation Technology
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• v.14 no.6
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• pp.783-790
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• 2010

For safety navigation of ships at sea, ships monitor their location obtained from Global Positioning Satellite System (GNSS). In this study, we computed near-real-time positions of a ship at sea using GPS Precise Point Positioning (PPP) technique and analyzed precision of the near-real-time positions. We conducted ship borne GPS observations in the south sea of Korea. To process the GPS data using PPP technique, GIPSY-OASIS (GPS Inferred Positioning System-Orbit Analysis and Simulation Software) developed by the Jet Propulsion Laboratory was used. Antenna phase center variations, ocean tidal loading displacements, and azimuthal gradients of the atmosphere were corrected or estimated as standard procedures of high-precision GIPSY-OASIS data processing. As a result, the precisions of near-real-time positions was ~1cm.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.10
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• pp.391-396
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• 2019

Researches for image processing have been actively progress due to the development of various hardware. For example, in order to prevent various types of crime by a vehicle, there is a method of detecting the location of a criminal vehicle using the existing CCTV in real time. However, certain types of systems and high-performance system requirements make it difficult to apply to existing equipment. In this paper proposes a search algorithm that construct a file database of Korean standard license plate information so that specific vehicles can be quickly searched using existing equipment. In order to evaluate the performance of the file database and the search algorithm proposed in this paper, we set up the search targets at various locations and the results showed that the search algorithm could always check the information by searching the vehicle within a certain time.

• The KIPS Transactions:PartB
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• v.9B no.2
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• pp.231-236
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• 2002

The classification of the speech-sound block comes from the multi-resolution analysis property of the discrete wavelet transform, which is used to reduce the computational time for the pre-processing of speech recognition. The merging algorithm is proposed to extract vapid speech-sounds in terms of position and frequency range. It performs unvoiced/voiced classification and denoising. Since the merging algorithm can decide the processing parameters relating to voices only and is independent of system noises, it is useful for extracting valid speech-sounds. The merging algorithm has an adaptive feature for arbitrary system noises and an excellent denoising signal-to-noise ratio and a useful system tuning for the system implementation.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.78-80
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• 2022

최근 딥러닝을 이용한 영상 분석은 자율주행, 감시카메라 등 다양한 서비스에 필수적으로 활용되고 있으며 실시간 처리 및 보안 요소를 만족하기 위해 기존의 클라우드 컴퓨팅 방식의 단점을 개선한 클라우드 엣지 컴퓨팅 방식을 적용하는 사례가 크게 증가하고 있다. 하지만 사용자 및 단말과 가까운 위치에서 딥러닝 추론을 진행하는 클라우드 엣지 서버는 클라우드 서버와 비교하여 컴퓨팅 자원이 충분하지 않을 경우가 많으며 기존의 딥러닝 모델을 그대로 클라우드 엣지 환경에 적용하는 것은 자원 활용 측면에서 여러가지 문제점들을 갖고 있다. 따라서 본 논문에서는 마이크로서비스 구조를 통해 자원을 보다 유연하게 활용할 수 있도록 개선된 딥러닝 모델로 대규모의 클라이언트 요청을 처리 가능한 동영상 데이터 추론 서비스인 G-Edge AI 추론 서비스 개발에 대해 설명한다.

• The KIPS Transactions:PartC
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• v.10C no.3
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• pp.355-366
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• 2003

Today's market share of mobile internet service is growing rapidly in internet due to the rapid advances in wireless mobile networks. To guarantee for QoS of Mobile Nodes in wireless mobile networks, we propose the Proxy MRSVP (PMRSVP) which is efficient resource reservation protocol. The PMRSVP using a modified regional registration restrains excessive message generation from existing protocols that propose an alternative plan of existing best effort service in wireless mobile networks. We show that signaling message generation quantities and resource registration costs of the PMRSVP are lower than MRSVP and Hierarchical MRSVP (HMRSVP) because as Mobile Agent (MA) plays a proxy role instead of Corresponding Host (CH). We evaluate resource reservation cost with registration cost of intradomain and interdomain of the proposed method in the paper by comparing to that of the MRSVP and HMRSVP.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.3
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• pp.186-192
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• 2009

PID controllers are simple in structure and easy for implementation. However, they may produce large overshoots and over-oscillatory responses. Combining PID control with other control techniques often results in advanced hybrid schemes that are able to improve pure PID controllers. This paper proposes hybrid controller for position control system of servo motor. The proposed controller is composed of a subcontroller and a parallel PID controller. The subcontroller improves the transient system performance while the PID controller is mainly responsible for the steady-state system performance. A very promising advantage of this hybrid scheme, in terms of controller synthesis, is that the subcontrollers and controller components can be designed separately. Systematic design methods for various controller components are developed. The proposed hybrid scheme is applied to a DC motor position servo system. The effectiveness of the proposed controller is verified through the computer simulation results.

• The KIPS Transactions:PartD
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• v.16D no.2
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• pp.161-168
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• 2009

Recently, use of various position base servicesthat collect position information for moving object and utilize in real life is increasing by the development of wireless network technology. Accordingly, new index structures are required to efficiently retrieve the consecutive positions of moving objects. This paper addresses an improved trajectory split algorithm for the purpose of efficiently supporting spatio-temporal range queries using index structures that use Minimum Bounding Rectangles(MBR) as trajectory approximations. We consider volume of Extended Minimum Bounding Rectangles (EMBR) to be determined by average size of range queries. Also, Use a priority queue to speed up our process. This algorithm gives in general sub-optimal solutions with respect to search space. Our improved trajectory split algorithm is going to derive minimizing volume of EMBRs better than previously proposed split algorithm.