• Proceedings of the Safety Management and Science Conference
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• 2003.05a
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• pp.135-141
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• 2003

An experiment was conducted to identify salient colours for information coding at electronic video displays. CRT and TFT-LCD were used to evaluate the effect of different types of electronic displays on the salience of colours. Total of 100 Subjects, 50 for each display were asked to select more salient 10 colours among 24 given colours. There was no statistically significant difference in the salience of colours between the two display types. The result showed that the tested colours could be clustered into 5 categories according to their brightness, saturation, and the number of R, G, B elements occupied to reproduce the colours. Three achromatic colours (black, white, grey) and eight chromatic colors (red, yellow, green, blue, cyan, orange, magenta, and indigo) were identified as the salient colours at the electronic video displays. The result also showed that the eight chromatic colours could be clustered into two distinct categories, landmark colours(red, yellow, green, and blue) and the other basic colours (cyan, magenta, orange, and indigo). It is noticeable that cyan, magenta, and indigo substituted for pink, purple, and brown that were recommended as the salient colours for the environment not using electronic video displays by the previous researches.

• Journal of Korea Multimedia Society
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• v.23 no.12
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• pp.1454-1463
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• 2020

An important factor in eye-tracking PC interface for general paralyzed patients is the implementation of the mouse interface, for manipulating the GUI. With a successfully implemented mouse interface, users can generate mouse events exactly at the point of their choosing. However, it is difficult to define this interaction in the eye-tracking interface. This problem has been defined as the Midas touch problem and has been a major focus of eye-tracking research. There have been many attempts to solve this problem using blink, voice input, etc. However, it was not suitable for general paralyzed patients because some of them cannot wink or speak. In this paper, we propose a mouth-pop-up, eye-tracking mouse interface that solves the Midas touch problem as well as becoming a suitable interface for general paralyzed patients using a common RGB camera. The interface presented in this paper implements a mouse interface that detects the opening and closing of the mouth to activate a pop-up menu that the user can select the mouse event. After implementation, a performance experiment was conducted. As a result, we found that the number of malfunctions and the time to perform tasks were reduced compared to the existing method.

• Annual Conference of KIPS
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• 2008.05a
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• pp.455-458
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• 2008

단백질체학에서 2-DE는 조직내의 단백질을 규명하는 단백질 분리 기술로서 2-DE에 의하여 생성된 단백질 이미지에서 스팟 매칭을 진행하여 상이한 단백질 젤 내에 존재하는 동일한 단백질 클래스를 찾을 수 있다. 그러나 단백질 2-DE 이미지는 실험 환경의 변화에 민감하여 이미지의 위치적인 변형이나 먼지, 공기방울 등으로 인해 많은 에러 정보를 포함할 수 있다. 이러한 에러는 스팟 매칭에 치명적인 영향을 주어 낮은 정확도를 가지게 된다. 본 논문에서는 단백질 2-DE 이미지 분석을 위한 스팟 매칭에서의 정확도를 향상시키기 위하여 기준점 학습과 기준점 추출의 두 단계로 이루어진 자동화된 기준점 추출 방법을 사용하여 스팟 매칭의 정확도를 향상시킬 수 있는 최적의 기준점을 선정하는 방법을 제안하며 선정된 기준점을 기반으로 다수의 기준 이미지를 선택하여 스팟 매칭을 반복적으로 진행함으로써 확률 기반의 정확한 스팟 매칭 결과를 도출하고자 한다. 특히 데이터 마이닝 기법에서 사용되는 최소지지도 값을 적용함으로써 지지도가 높은 스팟 매칭 결과를 빈발한 스팟 매칭으로 판정한다. 제안한 스팟 매칭 정확도 향상 기법의 정확도를 평가하기 위하여 실제 단백질 2-DE 젤 이미지 데이터를 사용하여 입력 기준점의 개수와 최소 지지도의 증가에 따른 정확도의 변화를 분석하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2333-2345
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• 2024

Facial wrinkles are widely used to evaluate skin condition or aging for various fields such as skin diagnosis, plastic surgery consultations, and cosmetic recommendations. In order to effectively process facial wrinkles in facial image analysis, accurate wrinkle segmentation is required to identify wrinkled regions. Existing deep learning-based methods have difficulty segmenting fine wrinkles due to insufficient wrinkle data and the imbalance between wrinkle and non-wrinkle data. Therefore, in this paper, we propose a new facial wrinkle segmentation method based on a UNet++ model. Specifically, we construct a new facial wrinkle dataset by manually annotating fine wrinkles across the entire face. We then extract only the skin region from the facial image using a facial landmark point extractor. Lastly, we train the UNet++ model using both dice loss and focal loss to alleviate the class imbalance problem. To validate the effectiveness of the proposed method, we conduct comprehensive experiments using our facial wrinkle dataset. The experimental results showed that the proposed method was superior to the latest wrinkle segmentation method by 9.77%p and 10.04%p in IoU and F1 score, respectively.

• Journal of Korean Society for Geospatial Information Science
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• v.6 no.2 s.12
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• pp.35-44
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• 1998

Road guide sign is one of important traffic facility, which guides a driver a direction to go. A road is being newly built and/or an existing road can be temporarily closed very often at metropolitan area. Such information has to be linked to a road guide sign and to be updated in time. Otherwise, it might cause not only confusion to a driver but also traffic accident and/or traffic congestion. However, road guide signs are not properly managed at this time since the amounts of information are huge and they are being managed through paper maps manually. A decision-making framework has been developed to manage a variety of information of road guide signs based on the concept of GIS(Geographic Information Systems). Especially, it is designed on the fact that the existing national digital base maps under the NGIS(National Geographic Information Systems) program can be utilized. This framework has several functions such as the manipulation of statistics, landmark linkages along the selected traffic corridor and automatic design of signboard's content. This system is applied to the Kangnam district in Seoul Metropolitan area (SMA) for a case study.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.469-492
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• 2021

This study aims to find an optimal method for the mobile map application to provide directions by analyzing users' behavior in wayfinding and the information referenced in the direction-finding tasks. The mobile application provided information such as 'the name of the store on the first floor,' 'current location and directions to proceed if there are multi-branching roads,' and 'alleyways.' In the visual representation of information, the application should pay attention to 'landmark elements such as subway station exits and bus stops,' 'the color of crosswalks and overpasses,' 'division between sidewalks and driveways,' and 'entry to the subway stations.' For the mobile map application to provide intuitive interaction, it is necessary to specify 'the direction toward the destination,' 'the possible rotation of the map screen,' and 'the big roads' preference guidance.'

• International Commerce and Information Review
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• v.7 no.4
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• pp.135-156
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• 2005

Since July 7 mutual declaration in 1988 which is a landmark for South-North Korean relations, Inter-Korean Trade has been set out. During the period, the Inter-Korean Trade has been ups and downs depending on the Inter-Korean relations and economic situation of both countries. South Korea became one of the major three trading countries of North Korea's trading partners in 2000, when the sum of annual trade volume reached the record 425million US dollars. A rapidly increasing number of countries including North Korea are developing national policies and strategies to promote the digital economy, recognizing the potential benefits of e-business as an engine of growth and development. However, the trade structure of South-North Korea remains very simple in terms of its contents. Furthermore trade procedure many limitations especially electronic commerce in North Korea has many obstacles to working properly. The information in Inter-Korean trade cannot be shared in common. South Korean firms have suffered repeatedly trial and error and excessive competition took place among South Korean firms. Institutional inertia related to mutual trade, political and military Impacts on Inter-Korean economic relations, abnormal industrial structure of North Korea and insufficiency of SOC could be mentioned as major problems in Inter-Korean trade as well. Several measures should be taken in order to cope with those problems. First of all, South Korean government should provide valuable information to business firms about North Korean economy and business environments. It is suggested that forums related to inter-Korean trade hold in regular base between South and North Koreas and establish the system of business information sharing. Second, the government should improve various laws and regulations to respond to the realistic needs of inter-Korean trade. That is, detailed measures should be taken to guarantee investment in electronic commerce. Third, it is desirable to start with the mutual agreement between South and North Korea.

• Journal of Broadcast Engineering
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• v.23 no.3
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• pp.351-360
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• 2018

Human emotion recognition is a research topic that is receiving continuous attention in computer vision and artificial intelligence domains. This paper proposes a method for classifying human emotions through multiple neural networks based on multi-modal signals which consist of image, landmark, and audio in a wild environment. The proposed method has the following features. First, the learning performance of the image-based network is greatly improved by employing both multi-task learning and semi-supervised learning using the spatio-temporal characteristic of videos. Second, a model for converting 1-dimensional (1D) landmark information of face into two-dimensional (2D) images, is newly proposed, and a CNN-LSTM network based on the model is proposed for better emotion recognition. Third, based on an observation that audio signals are often very effective for specific emotions, we propose an audio deep learning mechanism robust to the specific emotions. Finally, so-called emotion adaptive fusion is applied to enable synergy of multiple networks. The proposed network improves emotion classification performance by appropriately integrating existing supervised learning and semi-supervised learning networks. In the fifth attempt on the given test set in the EmotiW2017 challenge, the proposed method achieved a classification accuracy of 57.12%.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.4
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• pp.187-194
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• 2016

When performing experiments in indoor and outdoor environment, we need a system that monitors a volunteer to prevent dangerous situations and efficiently manages the data in real time. We developed a guidance device for visually impaired person that guides the user to walk safely to the destination in the previous study. We set a POI (Point of Interest) of a specific location indoors and outdoors and tracks the user's position and navigate the walking path using artificial markers and ZigBee modules as landmark. In addition, we develop path finding algorithm to be used for navigation in the guidance device. In the test bed, the volunteers are exposed to dangerous situations and can be an accident due to malfunction of the device since they are visually impaired person or normal person wearing a eye patch. Therefore the device requires a system that remotely monitors the volunteer wearing guidance device and manages indoor or outdoor a lot of map data. In this paper, we introduce a managing system that monitors the volunteers remotely and handles map data efficiently. We implement a management system which can monitor the volunteer in order to prevent a hazardous situation and effectively manage large amounts of data. In addition, we verified the effectiveness of the proposed system through various experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.25-31
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• 2020

In this study, for the safe use of a portable ultrasonic skin-beauty device, an android app was developed to show the irradiation locations of focused ultrasound to a user through augmented reality (AR) and enable stable self-surgery. The utility of the app was assessed through testing. While the user is making a facial treatment with the beauty device, the user's face and the ultrasonic irradiation location on the face are detected in real-time with a smart-phone camera. The irradiation location is then indicated on the face image and shown to the user so that excessive ultrasound is not irradiated to the same area during treatment. To this end, ML-Kit is used to detect the user's face landmarks in real-time, and they are compared with a reference face model to estimate the pose of the face, such as rotation and movement. After mounting a LED on the ultrasonic irradiation part of the device and operating the LED during irradiation, the LED light was searched to find the position of the ultrasonic irradiation on the smart-phone screen, and the irradiation position was registered and displayed on the face image based on the estimated face pose. Each task performed in the app was implemented through the thread and the timer, and all tasks were executed within 75 ms. The test results showed that the time taken to register and display 120 ultrasound irradiation positions was less than 25ms, and the display accuracy was within 20mm when the face did not rotate significantly.