• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.202-206
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• 2005

우리나라 주민등록증은 주소지, 주민등록 번호, 지문 등 개개인의 방대한 정보를 가진다. 그런데 현재의 플라스틱 주민등록증은 위?변조가 쉬워 사회적으로 많은 문제를 일으키고 있다. 이러한 문제점을 해결하기 위하여 주민등록증을 전산화 하여 주민등록증 위조여부를 판단하고 있다. 본 논문에서는 주민등록증 영상을 자동 인식할 수 있는 개선된 ART2기반 RBF 네트워크를 이용한 주민등록증 자동 인식 방법을 제안한다. 제안된 방법은 주민등록증 영상에서 위치 정보와 수직 및 수평 히스토그램 방법을 이용하여 주민등록번호와 발행일 영역을 추출한다. 그리고 추출된 주민등록번호와 발행일 영역에서 4 방향 윤곽선 추적 알고리즘으로 개별 문자를 추출한다. 추출된 개별 코드는 개선된 ART2 기반 RBF 네트워크를 제안하여 인식에 적용한다. 제안된 ART2 기반 RBF 네트워크는 ART2알고리즘을 중간층으로 적용하고 중간층과 출력층 간의 학습은 일반화된 델타 학습에 모멘텀을 적용하여 학습 성능을 개선한다. 실제 주민등록증 영상을 이용하여 실험한 결과, 제안된 ART2기반 RBF 네트워크가 주민등록증 인식에 효율적인 것을 확인하였다.

• Smart Media Journal
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• v.12 no.2
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• pp.36-41
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• 2023

With the advent of applicant tracking systems, online recruitment has become more popular, and recruitment fraud has become a serious problem. This research aims to develop a reliable model to detect recruitment fraud in online recruitment environments to reduce cost losses and enhance privacy. The main contribution of this paper is to provide an automated methodology that leverages insights gained from exploratory analysis of data to distinguish which job postings are fraudulent and which are legitimate. Using EMSCAD, a recruitment fraud dataset provided by Kaggle, we trained and evaluated various single-classifier and ensemble-classifier-based machine learning models, and found that the ensemble classifier, the random forest classifier, performed best with an accuracy of 98.67% and an F1 score of 0.81.

• Annual Conference of KIPS
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• 2009.04a
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• pp.1438-1441
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• 2009

RFID 시스템에서 태그는 객체를 유일하게 식별하기 위한 정보를 가지고 있기 때문에 개인정보의 노출, 위치 추적 등의 프라이버시 침해를 유발할 수 있는 문제점이 있다. 태그가 다양한 목적을 위해 사용되어지는 경우 키 분배, 키 관리 등의 문제로 인해 공개키 암호화 기법이 적용될 수 있다. 공개키 암호화 기법을 이용한 기존 RFID 인증 프로토콜에서는 서버와 태그 사이에 공개키를 사전에 공유하고 있다고 가정을 하여 설계를 하였다. 하지만 하나의 태그가 다양한 목적으로 사용되는 다목적 구조에서 수동형 RFID 태그가 서로 다른 서버의 공개키를 모두 공유한다는 것은 현실적으로 불가능하다. 본 논문에서는 다목적 구조에서 XOR 연산과 리더와 태그가 사전에 공유한 마스터 키($K_m$)를 사용하여 태그에게 공개키를 안전하게 전달하며 이를 이용한 공개키 암호화 기반의 RFID 인증 프로토콜을 제안한다. 또한 제안한 인증 프로토콜은 프라이버시 침해를 유발할 수 있는 도청, 재전송 공격, 위치 추적과 같은 공격에도 안전성을 보장한다.

• Annual Conference of KIPS
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• 2009.04a
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• pp.1421-1424
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• 2009

RFID(Radio-Frequency IDentification) 시스템은 무선주파수를 이용한 자동 인식 기술로 개인의 위치 추적이나 사용자 프라이버시와 같은 정보 유출의 위험성을 내포하고 있다. 이러한 문제점을 해결하기 위해 대칭키 기반의 AES 암호화 알고리즘은 해시함수나 공개키 암호화 기법에 비해 메모리를 적게 소모하고 구현이 쉬운 장점 때문에 수동형 RFID태그에 더 적합하다. 그러나 기존의 AES를 이용한 RFID 인증 프로토콜에서는 항상 고정된 키를 이용하여 암호화하였고 태그와 리더사이의 안전하지 않은 무선 채널에서 공격자에 의해 키 값이 노출될 수 있는 또 다른 문제점을 가지고 있다. 본 논문에서는 태그와 서버의 고정된 키와, 리더 태그 서버에서 생성된 난수를 차례로 이용하여 대칭키를 변환한다. 그리고 매 세션마다 변환된 키로 난수를 암호화 하면서 태그와 리더를 상호 인증한다. 이와 같이 변환된 키를 이용할 경우 키 값의 노출 문제가 해결되며, 이 키를 통해 암호화하여 인증할 경우 재전송, 도청, 위치추적 및 스푸핑과 같은 공격에도 안전하다.

• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.707-718
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• 2007

Recently, much studies for providing mobile users with suitable and useful content services, LBS(Location Based Service) corresponding to the change of users' location, are actively going on. First and foremost, this is basically owing to the progress of location management technologies such as GPS, mobile communication technology and the spread of personal devices like PDA and the cellular phones. Besides, the research scope of LBS has been changed from vehicle tracking and navigation services to intelligent and personalized services considering the changing information of conditions or environment where the users' are located. For example, it inputs the information such as heavy traffic, pollution, and accidents. The query languages which effectively search the stored vehicle and environment information have been studied depending on the increase of the information utilization. However, most of existing moving object query languages are not enough to provide a recommendation service for a user, because they can not be tested and evaluated in real world and did not consider changed environment information. In order to retrieve not only a vehicle location and environment condition but also use them, we suggest a moving object query language for recommendation service and implement a moving object query process system for supporting a query language. It can process a nearest neighbor query for recommendation service which considers various attributes such as a vehicle's location and direction, environment information. It can be applied to location based service application which utilizes the recommended factors based on environmental conditions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.1
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• pp.153-160
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• 2016

In this paper, we propose a system that tracks the position of the passengers and sailors using a Bluetooth-based Beacon in the ship. The position of the tracking passengers, sometimes fatal emergencies of the rescue team, such as the sinking of the ship is utilized in order to efficiently and quickly rescue the passengers, and the collected data can be utilized additionally by grasping the flow of human traffic patterns. The system proposed in this paper, install MAC data acquisition called AP (Access Point) for each cabin, and in the installed AP retrieves Tag of the information provided to the passenger and collected. A Tag has only its own MAC Address to the privacy, no user information is not collected. All data communication by sending and receiving MAC Address was only to ensure anonymity.

• Journal of the Korea Society of Computer and Information
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• v.16 no.10
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• pp.53-62
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• 2011

In this paper, high-tech IT Convergence, to the development of complex technology, special technology, video object recognition technology was considered only as a smart - phone technology with the development of personal portable terminal has been developed crossroads. Technology-based detection of 3D face recognition technology that recognizes objects detected through the intelligent video recognition technology has been evolving technologies based on image recognition, face detection technology with through the development speed is booming. In this paper, based on human face recognition technology to detect the object recognition image processing technology is applied through the face recognition technology applied to the IP camera is the party of the mouth, and allowed the ability to identify and apply the human face recognition, measurement techniques applied research is suggested. Study plan: 1) face model based face tracking technology was developed and applied 2) algorithm developed by PC-based measurement of human perception through the CPU load in the face value of their basic parameters can be tracked, and 3) bilateral distance and the angle of gaze can be tracked in real time, proved effective.

• Journal of Korea Game Society
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• v.17 no.3
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• pp.53-62
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• 2017

VR content manipulation equipment is not easy for individuals to access because it requires high prices. Especially, in the case of a system for tracking the motion of the user among the VR contents, a separate optical sensor device using an infrared camera is generally used. The disadvantage of the optical sensor equipment is that the measurable range is dependent on the measurement direction when tracking the rotation motion when using only a single device. In order to solve the above problems, this paper shows that the inertial sensor of the smartphone, which is generally owned by the public, can track the rotational motion of the user regardless of the measurement direction . The system using the LeapMotion is used as the reference system, and the system using the smart phone is defined as the evaluation system, and the usability of the evaluation system is verified by comparing the user satisfaction of the two systems.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.105-113
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• 2019

This study is to analyze the concentration of visual perception of the subject through the eye-tracking experiments targeting popular characters and to investigate it is effective to highlight which part of the character in inducing consumers' interest and curiosity. As a result of the study, the subjects paid more attention to the face than the character's body, and also noted a little attention to auxiliary elements such as pants, tees, shoes, and whiskers. These results mean there is clearly different factor in which the subject's gaze on the character frequently stays and does for a long time. Therefore, the designers should recognize the differences of the concentration of visual perception by character components as a differentiating factor to feel the emotional satisfaction such as the user's interest, empathy, and immersion in the character and actively reflect it when developing the character design. In addition, there was a difference in the visual perception concentration of each of the auxiliary elements, and if careful research is done on whether the influence factors are also due to individual characteristics or another influential factors, it will be a wider study on character design.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.95-117
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• 2022

This study developed and evaluated audio-visual (AV) semantics-based video summarization methods using eye tracking and electroencephalography (EEG) data. For this study, twenty-seven university students participated in eye tracking and EEG experiments. The evaluation results showed that the average recall rate (0.73) of using both EEG and pupil diameter data for the construction of a video summary was higher than that (0.50) of using EEG data or that (0.68) of using pupil diameter data. In addition, this study reported that the reasons why the average recall (0.57) of the AV semantics-based personalized video summaries was lower than that (0.69) of the AV semantics-based generic video summaries. The differences and characteristics between the AV semantics-based video summarization methods and the text semantics-based video summarization methods were compared and analyzed.