• Journal of the Korea Computer Graphics Society
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• v.14 no.4
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• pp.35-39
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• 2008

A computer supported collaborative system provides with a shared virtual workspace over the Internet where its remote users cooperate in order to achieve their goals by overcoming problems caused by distance and time. VRMMS (Virtual Reality Molecular Modeling System) [1] is a VR based collaborative system where biologists can remotely participate in and exercise molecular modeling tasks such as viewing three dimensional structures of molecular models, confirming results of molecular simulations and providing with feedbacks for the next simulations. Biologists can utilize VRMMS in executing molecular simulations. However, first-time users and beginners need to spend some time for studying and practicing in order to skillfully manipulate molecular models and the system. The best way to resolve the problem is to have a face-to-face session of teaching and learning VRMMS. However, it is not practically recommended in the sense that the users are remotely located. It follows that the learning time could last longer than desired. In this paper, we propose to use Second Life [2] combining with VRMMS for removing the problem. It can be used in building a shared workplace over the Internet where molecular simulations using VRMMS can be exercised, taught, learned and practiced. Through the web, users can collaborate with each other using VRMMS. Their avatars and tools of molecular simulations can be remotely utilized in order to provide with senses of 'being there' to the remote users. The users can discuss, teach and learn over the Internet. The shared workspaces for discussion and education are designed and implemented in Second Life. Since the activities in Second Life and VRMMS are designed to realistic, the system is expected to help users in improving their learning and experimental performances.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.19-29
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• 2006

As the security of personal information is becoming more important in mobile phones, we are starting to apply iris recognition technology to these devices. In conventional iris recognition, magnified iris images are required. For that, it has been necessary to use large magnified zoom & focus lens camera to capture images, but due to the requirement about low size and cost of mobile phones, the zoom & focus lens are difficult to be used. However, with rapid developments and multimedia convergence trends in mobile phones, more and more companies have built mega-pixel cameras into their mobile phones. These devices make it possible to capture a magnified iris image without zoom & focus lens. Although facial images are captured far away from the user using a mega-pixel camera, the captured iris region possesses sufficient pixel information for iris recognition. However, in this case, the eye region should be detected for accurate iris recognition in facial images. So, we propose a new fast iris detection method, which is appropriate for mobile phones based on corneal specular reflection. To detect specular reflection robustly, we propose the theoretical background of estimating the size and brightness of specular reflection based on eye, camera and illuminator models. In addition, we use the successive On/Off scheme of the illuminator to detect the optical/motion blurring and sunlight effect on input image. Experimental results show that total processing time(detecting iris region) is on average 65ms on a Samsung SCH-S2300 (with 150MHz ARM 9 CPU) mobile phone. The rate of correct iris detection is 99% (about indoor images) and 98.5% (about outdoor images).

• Journal of Broadcast Engineering
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• v.11 no.2 s.31
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• pp.207-221
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• 2006

A fully automatic and computationally efficient method is proposed for intelligent display of soccer video on small multimedia mobile devices. The rapid progress of the multimedia signal processing has contributed to the extensive use of multimedia devices with a small LCD panel. With these emerging small mobile devices, the video sequences captured for standard- or HDTV broadcasting may give the small-display-viewers uncomfortable experiences in understanding what is happening in a scene. For instance, in a soccer video sequence taken by a long-shot camera technique, the tiny objects (e.g., soccer ball and players) may not be clearly viewed on the small LCD panel. Thus, an intelligent display technique is needed for small-display-viewers. To this end, one of the key technologies is to determine region of interest (ROI), which is a part of the scene that viewers pay more attention to than other regions. In this paper, the focus is on soccer video display for mobile devices. Instead of taking visual saliency into account, we take domain-specific approach to exploit the characteristics of the soccer video. The proposed scheme includes three modules; ground color learning, shot classification, and ROI determination. The experimental results show the propose scheme is capable of intelligent video display on mobile devices.

• Journal of Korea Water Resources Association
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• v.38 no.7 s.156
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• pp.565-574
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• 2005

It is used water quality data that was measured at Pyeongchanggang real time monitoring stations in Namhan river. These characteristics were analyzed with the water qualify of rainy and nonrainy periods. TOC (Total Organic Carbon) data of rainy periods has correlation with discharge and shows high values of mean, maximum, and standard deviation. DO (Dissolved Oxygen) value of rainy periods is lower than those of nonrainy periods. Input data of the water quality forecasting models that they were constructed by neural network and neuro-fuzzy was chosen as the reasonable data, and water qualify forecasting models were applied. LMNN, MDNN, and ANFIS models have achieved the highest overall accuracy of TOC data. LMNN (Levenberg-Marquardt Neural Network) and MDNN (MoDular Neural Network) model which are applied for DO forecasting shows better results than ANFIS (Adaptive Neuro-Fuzzy Inference System). MDNN model shows the lowest estimation error when using daily time, which is qualitative data trained with quantitative data. The observation of discharge and water quality are effective at same point as well as same time for real time management. But there are some of real time water quality monitoring stations far from the T/M water stage. Pyeongchanggang station is one of them. So discharge on Pyeongchanggang station was calculated by developed runoff neural network model, and the water quality forecasting model is linked to the runoff forecasting model. That linked model shows the improvement of waterquality forecasting.

• Journal of the Speleological Society of Korea
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• v.45 no.46
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• pp.69-79
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• 1996

동굴은 미지의 세계이고, 암흑의 신비로운 지하세계이기 때문에 우리 인간에게는 매우 흥미로운 공간이라고 할 수 있다. 그러므로 이러한 공간을 관광자원으로 활용하여 지역주민이 소득을 올리고, 청소년에게 탐험의 세계, 모험의 세계는 물론 자연학습의 현장으로 활용할 수 있게 하는 바람직한 경우도 있다. 그러나 이러한 경우 동굴이 개발되면 전자와 같은 긍정적인 면이 있는 반면에 동굴의 파괴, 오손 및 오염과 같은 악영향을 가져오게 되므로 동굴을 개발할 당시부터 악영향을 최소하기 위해서는 환경보전과 환경보호에 커다란 관심을 가져야 한다. 따라서 본 연구에서는 이제 동굴 개장이 2개월밖에 되지 않은 천곡동굴이 관광지로 개방됨으로써 나타나게 될 환경변화를 미리 살펴보고 그에 대한 대책을 마련하려고 하였다. 그 결과는 다음과 같다. 첫째, 천곡동굴의 경우 동굴 공간이 넓고 관광통로가 왕복통로로 되어 있어 체동인구가 2배가 되므로 많은 관광객의 출입시 동굴 내부의 기온이 상승하기 때문에 동시에 관람할 수 있는 적정 관람객 수를 조절해야 한다. 둘째, 천곡동굴은 개장 시일이 오래 경과하지 않았기 때문에 퇴적물의 파손이 전무하다고 할 수 있다. 따라서 이 상태를 계속 유지하기 위해서 동굴 내부에 관리인을 상주시킨다거나, 입동객의 소지품을 보관할 수 있는 장소를 마련하여 동굴퇴적물을 훼손할 수 있는 물건의 반입을 애초에 방지하는 방안도 필요하다고 본다. 마지막으로, 동굴 개발 당시 조명을 너무 가깝게 설치한 때문에 개방 후 얼마 되지 않았음에도 불구하고 몇 군데에서 녹색균류가 관측되고 있으므로 조명시설의 원거리 조정이나 간접조명 대책을 강구해야 한다.만 아니라 오류의 크기도 확률적으로 변하는 상황을 모형에 반영하여 보다 현실성있게 모형화하였다.균 6.5점(2-9점)으로 대체로 높게 나타났는데 이는 대중매체와 신문, 잡지류를 통한 지식의 정보가 많기 때문으로 생각된다 비만 정도에 따라서는 유의적인 차이를 보이지 않았다. 5. 비만 정도와 상호간의 관계를 보면 BMI 수치가 높을수록 비만인 형제수가 많았으며, 자신의 비만 자각도도 높았다. 편식율은 비만 정도가 낮을수록 높았으며, 식품섭취 빈도 점수는 비만군에서 높았으나, 저녁식사 후 간식섭취는 BMI가 높은 군에서 하지 않는 비율이 더 높았는데 이것은 감수성이 예민한 여학생들이 자신의 외모에 대한 의식적인 노력으로 보인다. 이상과 같은 결과를 종합해 볼 때 중학교 여학생들은 학교수업을 중심으로 비교적 규칙적인 생활을 하고 따로 운동을 할 시간이 많지 않은 것으로 나타났다. 비만과 관련하여서는 유전적인 요인도 중요하지만 식습관 개선과 식품이 적절한 선택 등을 강조하여 연령과 생활환경에 맞는 영양교육이 필요하다고 본다.알 수 있으며, 현미 30% 첨가한 B2가 그 다음 순위로 선호되어, 백설기 제조에서 율무와 현미의 첨가량은 10%가 권장된다.농촌 지역 여고생보다 많이 섭취하였고, 탄수화물은 농촌지역 여고생이 대도시 지역 여고생에 비하여 유의적으로 많이 섭취하였다. 지역별 여고생의 에너지섭취 비율은 탄수화물 : 단백질 : 지방의 섭취 비율이 대도시 60.75% : 16.4% 22.9%이며, 중소도시가 62.7% : 15.7% : 21.5%,농촌이66.8% : 14. l% : 19.1%이었다. 영양지식의 정확도나 인지도는 영양소 섭취와 유의적인

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.3
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• pp.247-262
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• 2022

In domestic tunnels, it is mandatory to install CCTVs in tunnels longer than 200 m which are also recommended by installation of a CCTV-based automatic accident detection system. In general, the CCTVs in the tunnel are installed at a low height as well as near by the moving vehicles due to the spatial limitation of tunnel structure, so a severe perspective effect takes place in the distance of installed CCTV and moving vehicles. Because of this effect, conventional CCTV-based accident detection systems in tunnel are known in general to be very hard to achieve the performance in detection of unexpected accidents such as stop or reversely moving vehicles, person on the road and fires, especially far from 100 m. Therefore, in this study, the region of interest is set up and a new concept of inverse perspective transformation technique is introduced. Since moving vehicles in the transformed image is enlarged proportionally to the distance from CCTV, it is possible to achieve consistency in object detection and identification of actual speed of moving vehicles in distance. To show this aspect, two datasets in the same conditions are composed with the original and the transformed images of CCTV in tunnel, respectively. A comparison of variation of appearance speed and size of moving vehicles in distance are made. Then, the performances of the object detection in distance are compared with respect to the both trained deep-learning models. As a result, the model case with the transformed images are able to achieve consistent performance in object and accident detections in distance even by 200 m.