• 아동학회지
• /
• 제31권2호
• /
• pp.103-117
• /
• 2010

The purpose of this study was to investigate the characteristics of internet usage among 5th and 6th grade of elementary school children and to elucidate the path model and the relative effects of various factors on internet addiction in the internet addiction tendency group. According to our results, the normal internet user group exhibit higher educational levels in fathers, secure attachment to mother, and warm friendship when compared to the internet addiction tendency group. At the same time, internet addiction group exhibit longer internet use time, a greater numbers of avatars in use, and higher avatars decoration costs. The research model suggested here was supported by the results. Attachment to mother appears to affect friendship which in turn affects avatars image decoration needs and avatars identification which in turn then has an impact upon internet addiction tendency. These results were then discussed in relation to previous research and theories.

• 디자인학연구
• /
• 16호
• /
• pp.173-182
• /
• 1996

최근 국내에서도 유수 기업체들이 앞다투어 CI를 도입함으로써 일종의 붐을 불러일으키고 있다. 이 같은 CI 붐은 디자인을 통한 기업이미지 관리의 중요성에 대한 인식이 증대되고 있음을 반영하는 것이다. 본 연구는 CI 기본 시스템에서 가장 중요한 비중을 차지하는 기본시스템의 구축 프로세스를 체계화하는 것을 목적으로 진행되었다. 기본 시스템 구축의 기본요소인 심볼, 로고타입, 코오포레이트 칼라 등의 선정 프로세스 및 평가기준을 합리적으로 체계화하고자 하였다. 이를 위해 문헌연구와 현장조사를 토대로 CI를 통한 기업이미지 관리의 본질 및 기본시스템 구축 프로세스 정립이 필요성을 고찰하였다. 이어 기본시스템 구축 프로세스를 정립하고 각 단계별 세부 활동내용 및 관리지침을 제시하였다. 또한 기업활동의 목적이나 기본 이미지 전략, CI 도입유형에 따라 그에 부합하는 기본요소 선정절차 및 평가기준도 마련되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권6호
• /
• pp.2098-2114
• /
• 2021

Light intensity variation is one of the key factors which affect the accuracy of vehicle face re-identification, so in order to improve the robustness of vehicle face features to light intensity variation, a Nonnegative Matrix Factorization model with the constraint of image acquisition time difference is proposed. First, the original features vectors of all pairs of positive samples which are used for training are placed in two original feature matrices respectively, where the same columns of the two matrices represent the same vehicle; Then, the new features obtained after decomposition are divided into stable and variable features proportionally, where the constraints of intra-class similarity and inter-class difference are imposed on the stable feature, and the constraint of image acquisition time difference is imposed on the variable feature; At last, vehicle face matching is achieved through calculating the cosine distance of stable features. Experimental results show that the average False Reject Rate and the average False Accept Rate of the proposed algorithm can be reduced to 0.14 and 0.11 respectively on five different datasets, and even sometimes under the large difference of light intensities, the vehicle face image can be still recognized accurately, which verifies that the extracted features have good robustness to light variation.

• Journal of Information Processing Systems
• /
• 제18권5호
• /
• pp.677-687
• /
• 2022

We propose a detection algorithm based on tree-structured convolutional neural networks (TsCNNs) that finds pornography, propaganda, or other inappropriate content on a social media network. The algorithm sequentially applies the typical convolutional neural network (CNN) algorithm in a tree-like structure to minimize classification errors in similar classes, and thus improves accuracy. We implemented the detection system and conducted experiments on a data set comprised of 6 ordinary classes and 11 inappropriate classes collected from the Korean military social network. Each model of the proposed algorithm was trained, and the performance was then evaluated according to the images and videos identified. Experimental results with 20,005 new images showed that the overall accuracy in image identification achieved a high-performance level of 99.51%, and the effectiveness of the algorithm reduced identification errors by the typical CNN algorithm by 64.87 %. By reducing false alarms in video identification from the domain, the TsCNNs achieved optimal performance of 98.11% when using 10 minutes frame-sampling intervals. This indicates that classification through proper sampling contributes to the reduction of computational burden and false alarms.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
• /
• pp.1718-1721
• /
• 1997

An image processing algorithm is developed in order to recognize the type of cars, the position of a number plate and the characters on the plate. to recognize the type of cars, comparison of two images is used. One has a car image, the other is just a background image without car. After that recognition, a vertical line filter is used to find the location of the plate. Finally the simularity mehod is used to recognize the numbers on plates.

• 대한의용생체공학회:의공학회지
• /
• 제25권1호
• /
• pp.83-86
• /
• 2004

The variation of the directional properties of an image is used to extract the iris code for human identification. In order to conserve the original information while minimizing the effect of noise, scale-space filtering is applied. Resulting binary codes have been tested on a set of 272 iris images obtained from 18 persons.

• 한국통신학회:학술대회논문집
• /
• 한국통신학회 1984년도 추계학술발표회논문집
• /
• pp.101-103
• /
• 1984

The proposed seal identification procedure consists of the thresholding smoothing, rotation, thinning, and matching techniques. The weighted map is constructed by ditance weighted correlation CK is computed. The CK is compared with the dicision constant Cs or Cd for the purpose of seal identification.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
• /
• pp.187-189
• /
• 2004

This paper presents the system widely used for extraction of human body recognition system in the field of bio-metric identification. The Human body recognition system is used in many fields. This biological is appled to the human recognition in banking and the access control with security. The important algorithm of the identification software usese hand lines and hand shape geometry. We used the simple algorithm and recognizing the person by their hand image from the input camera. The geometrical characteristics in hand shape such as length of finger to whole hand length thickness of finger to length, etc are used.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
• /
• pp.427-429
• /
• 2005

This paper presents the use of Point Number Algorithm (PNA) for real-time image processing for position identification of mobile robot. PNA can get how many points in the image gotten from the robot vision and can calculate the distance between the robot and the wall by the number of the points. The algorithm can be applied to a robot vision system enable to identify where it is in the workspace. In the workspace, the walls are made up by white background with many black points on them evenly. The angle of the vision is set invariable. So the more black points in the vision, the longer the distance is from the robot to the wall. But when the robot does not face the wall directly, the number of the black points is different. When the robot faces the wall, the least number of the black points can be gotten. The simulation results are presented at the end of this paper.

• 한국해양공학회지
• /
• 제12권2호통권28호
• /
• pp.121-129
• /
• 1998

A quantitative non-contact multi-point measurement system is proposed to the measurement of three-dimensional movement of floating vessels by using digital image processing. The instantaneous three-dimensional movement of a floating structure which is floating in a small water tank is measured by this system and its three-dimensional movement is reconstructed by the measurement results. The validity of this system is verified by position identification for spatially distributed known positional values of basic landmarks set for the camera calibration. It is expected that this system is applicable to the non-contact measurement for an unsteady physical phenomenon especially for the measurement of three-dimensional movement of floating vessels in the laboratory model test.