• The KIPS Transactions:PartC
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• v.11C no.6 s.95
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• pp.851-862
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• 2004

RFID(Radio frequency IDentification) is a technology that automatically identifies objects containing the electronic tags by using radio wave. The multi-tag identification problem is the core issue in the RFID and could be resolved by the anti-collision algorithm. However, most of the existing anti-collision algorithms have a problem of heavy implementation cost and low performance. In this paper. we propose a new tree based memoryless anti-collision algorithm called a collision tracking tree algorithm and presents its performance evaluation results obtained by simulation. The Collision Tracking Tree algorithm proves itself the capability of an identification rate of 749 tags per second and the performance evaluation results also show that the proposed algorithm outperforms the other two existing tree-based memoryless algorithms, i.e., the tree-walking algorithm and the query tree algorithm about 49 and 2.4 times respectively.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.9
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• pp.889-897
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• 2010

Recently, a cutting-edge large-scale image database system has demanded these attributes: search with alarming speed, performs with high accuracy, archives efficiently and much more. An image identifier (descriptor) is for measuring the similarity of two images which plays an important role in this system. The extraction method of an image identifier can be roughly classified into two methods: a local and global method. In this paper, the proposed image identifier, LFH(Local Feature's Histogram), is obtained by a histogram of robust and distinctive local descriptors (features) constrained by a district sub-division of a local region. Furthermore, LFH has not only the properties of a local and global descriptor, but also can perform calculations at a magnificent clip to determine distance with pinpoint accuracy. Additionally, we suggested a way to extract LFH via GPU (OpenGL and GLSL). In this experiment, we have compared the LFH with SIFT (local method) and EHD (global method) via storage capacity, extraction and retrieval time along with accuracy.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.7
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• pp.828-835
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• 2023

Vessel traffic service operators (VTSOs) need to quickly and accurately analyze the maritime traffic situation in the vessel traffic service (VTS) area and provide information to the vessels. However, if traf ic increases rapidly, the workload of VTSOs increases, and they may not be able to provide adequate information. Therefore, it is essential to develop VTSO support technologies that can reduce their workload and provide consistent information. In this paper, we propose a model for automatically detecting abnormal vessels in the VTS area. The proposed model consists of a positional model and a contextual model and is specifically optimized for the traffic characteristics of the target area. The implemented model was tested by using real-world data collected at a test center (Daesan Port VTS). Our experiments confirmed that the model could automatically detect various abnormal situations, and the results were validated through expert evaluation.

• Review of KIISC
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• v.27 no.1
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• pp.39-46
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• 2017

본 논문에서는 생체인식 인증의 한 가지 방법인 뇌파 기반 사용자 인증기술의 최신 기술동향에 대해 고찰하고 해당기술의 실용화를 위해 해결해야 할 기술적 문제점과 요구사항에 대해 분석한다. 뇌파 기반 사용자 인증기술은 최근에 스마트폰, 금융 등 다양한 분야에서 사용되고 있는 기존의 생체인식 인증기술과 비교해볼 때 가변성, 유출 저항성 등의 장점이 있지만, 사용자들로부터 뇌파를 수집하기 위해 필요한 장비의 경제성, 뇌파 수집 행위의 사용자 편의성, 현재까지 발표된 뇌파 기반 사용자 식별 기법들의 안정성 등이 개선되어야 하는 것으로 파악된다. 이와 관련하여 뇌파 측정 장비들의 발전 동향을 살펴보고 해당 장비들의 간소화와 인증정확도 간 트레이드오프(trade-off)와 최신 기계학습 및 인공지능 기술들을 활용한 뇌파 기반 사용자 식별 기법들의 안정성을 위해 해결되어야 할 뇌파의 시간차 문제 및 이에 따른 인증정확도 저하 문제를 규명하고 분석한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.252-258
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• 2016

Risk identification based on the government quality assurance activity for military goods is being conducted to determine the risks to be reflected in a government quality assurance plan. On the other hand, current risk evaluation method focuses mainly on the functional requirements of the product specifications, which is a lack of reflection and identification of risks considering the process and the method is determined from a personal opinion, for example experience and know-how, which results in a lack of objectivity. Therefore, a standard of judgment according to quantitative data, which includes the present process control data using the FMEA method is required to improve the objectivity and dependability. This paper proposes useful suggestions for a government quality planning method to apply the results of FMEA to hand grenades.

• The Journal of Korean Institute of Information Technology
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• v.16 no.12
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• pp.69-74
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• 2018

The road name address is a two-dimensional location marking method for naming each road and assigning a number to each building. However, the road name address only shows the necessary parts for administrative and legal acts, and it does not properly display the main characteristics of various roads and non-residential areas. This has become more and more difficult to standardize different location identification methods, merely as a separate location identification method. This paper proposes road-based 3D location identification code to overcome the difficulties of integrating different location identification methods in Korea and to overcome the limit of 2D plane. This is a method to integrate various location identification methods based on roads and to identify spatial coordinates. It is a study on 3D digital coding of the land suitable for the 4th Industrial Revolution era.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.63-68
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• 2021

Recently there is sharply increasing interest in watching and creating video contents such as YouTube. However, creating such video contents without privacy protection technique can expose other people in the background in public, which is consequently violating their privacy rights. This paper seeks to remedy these problems and proposes a technique that identifies faces and protecting portrait rights by blurring the face. The key contribution of this paper lies on our deep-learning technique with low detection error and high computation that allow to protect portrait rights in real-time videos. To reduce errors, an efficient tracking algorithm was used in this system with face detection and face recognition algorithm. This paper compares the performance of the proposed system with and without the tracking algorithm. We believe this system can be used wherever the video is used.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.417-422
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• 2007

개인 휴대 단말에 전파식별(Radio Frequency Identification) 기술이 결합됨에 따라, 전파식별 기술의 활용이 기존의 유통, 물류 등 B2B의 영역에서 벗어나 B2C영역으로 확대될 것으로 예상됨에 따라, 업계에서 다양한 시도가 이루어지고 있다. 본 논문에세는 인프라가 충분하지 않은 제약 조건하에서 인프라를 공급하면서 구현 가능한 비즈니스 모델로서 서비스 공간 내에서 RFID 태그가 부착된 테이블(Tag-Table)을 이용하는 B2C 비즈니스 모델과 애플리케이션을 제시하고 분석하였다. 본 논문에서 제시하는 비즈니스가 이뤄지기 위해서는 태그 테이블이 위치할 공간 제공자의 참여 여부가 중요하므로, 공간 제공자의 비용/수익 분석을 중심으로 비지니스 모델의 유효조건을 분석하였다.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2003.10a
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• pp.9-18
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• 2003

현재까지 어종식별에 이용되어진 방법으로는 크게 4가지로 나눌수 있다. 1) 주파수특성법: 광대역 혹은 복수주파수에 의한 어군의 음향산란의 주파수특성의 차이를 이용하는 방법(Madureira et at., 1993; Simmonds et at., 1996),2) 분포특징법 :어군형태와 분포특성에 근거한 방법 (LeFeuvre et at., 2000), 3) 신호특징법: 어군에코의 포락선등의 신호의 특징에 근거한 방법Rose and Leggett, 1988; Scalabrin et at., 1996), 4) 음향결과법: SV, TS, 에코트레스해석에 의한 유영속도 등 과학어탐에 의해서 얻어진 정보를 이용한 방법이 있다 (Richards et al., 1991). (중략)

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.05a
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• pp.157-158
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• 2000

김(Porphyra)속 식물은 색깔, 체형, 크기, 촉감 등의 식별형질에 근거하여 분류가 시작되었고, Kurogi는 일본산 김속 식물의 분류학적 연구를 개괄하면서 김속의 식별형질로서 엽체의 세포층수, 거치상 돌기의 유무, 생식유형, 정자낭반의 형태, 정자낭 및 과포자낭 분열형식, 무성포자의 형성 유무, 지리적 분포, 각포자의 형태 및 생태적 특성 등을 종합하였다. 그러나 전통적인 분류 특징을 가지고 70종이나 되는 김을 분류한다는 것은 지금까지 불충분하여왔다. (중략)