• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.25 no.9A
• /
• pp.1299-1305
• /
• 2000

In B-ISDN, to realize ATM, the optimum control method of multi-media traffic must be proposed. Because there is not the traffic model of multi-media to make clear, the realization of optimum ATM congestion control is very difficult. In this paper, the traffic model is assumed to be slowly time-variable non-linear function and for real-time prediction of it, new model which is composed with parallel triple neural networks is proposed. And the simulation to predict assumed ATM traffic is executed. From the result, it's capability is shown that the proposed neural network model can be used in ATM congestion control.

• Journal of the Korea Computer Graphics Society
• /
• v.24 no.4
• /
• pp.39-54
• /
• 2018

Recently, augmented reality(AR) based building information applications using a smart phone provide information in the static form irrespective of the distance between a user and a target building. If many target buildings are located close to each other, discrimination of information is reduced due to overlapping information objects. Furthermore, it is difficult to intuitively grasp the current position of the user in the previous AR-based applications. In this paper, to solve these limitations, we have designed and implemented a novel building information system in which the location and size of information objects are adaptively displayed according to locations of a user and target buildings, and which allows users to intuitively understand their location by providing a 3D map that displays the user's location and all target buildings within a given distance in real-time. The AR-based building information application proposed in this paper focuses on the building guide in Deoksu Palace in Jung-gu, Seoul.

• Journal of Korean Society of Water and Wastewater
• /
• v.19 no.5
• /
• pp.565-571
• /
• 2005

The method to decide media sphericity on the filter has been investigated. The sphericity, the ratio of the surface area of an equal volume sphere to the real surface area of the particles, is one of major physical characters of media affecting the bed expansion during backwash. The media in each treatment plant may have different sphericity, and the sphericity of the media in the filter may be changed as backwashing has been conducted regularly for a long time. Media from twelve water treatment plants under KOWACO have been collected and selected to insure various and practical sphericities. The sphericity of each media has been calculated by using well known equations. For example, Kozeny equation, Dahmarajah equation and so on. The experiment results have indicated that the sphericity of each water treatment plant is different. Although the sphericity values measured by different methods were turned out to be diverse values, the order in the magnitude seemed to be the same. The sphericity values of sand media were in the range of 0.71-0.82 and those of anthracite were placed between 0.49 and 0.56 by the Dharmarajah equation.

• Journal of the Korean Chemical Society
• /
• v.54 no.2
• /
• pp.215-221
• /
• 2010

Salmonella is an important food-and water-borne pathogen associated with acute gastrointestinal illnesses around the world. The most common serotypes isolated from humans are Salmonella enterica serotype Typhimurium (S. Typhimurium) and S. Enteritidis. Traditional detection methods for Salmonella are based on cultures using selective media and characterization of suspicious colonies by biochemical and serological tests. These methods are generally time-consuming and not so highly sensitive. Recently, the Loop Mediated Isothermal Amplification and real-time PCR has been used as a highly sensitive, specific, and rapid test for the presence of pathogenic bacteria. In this study, a LAMP and real-time PCR was used to detect S. Typhimurium and S. Enteritidis. We selected target genes, which were the in invA and a randomly cloned sequence specific for the genus Salmonella. With LAMP and real-time PCR, random sequence was detected from Salmonella spp, invA were detected from all strain of S. Typhimurium and S. Enteritidis. This assay indicate that the specificity, sensitivity and rapid of the LAMP and real-time PCR make them potentially valuable tools for detection of S. Typhimurium and S. Enteritidis.

• International journal of advanced smart convergence
• /
• v.9 no.1
• /
• pp.109-112
• /
• 2020

Many devices are connected on the internet to give functionalities for interconnected services. In 2020', The number of devices connected to the internet will be reached 5.8 billion. Moreover, many connected service provider such as Google and Amazon, suggests edge computing and mesh networks to cope with this situation which the many devices completely connected on their networks. This paper introduces the current state of the introduction of the wireless mesh network and edge cloud in order to efficiently manage a large number of nodes in the exploding Internet of Things (IoT) network and introduces the existing Network Time Protocol (NTP). On the basis of this, we propose a relatively accurate time synchronization method, especially in heterogeneous mesh networks. Using this NTP, multiple time coordinators can be placed in a mesh network to find the delay error using the average delay time and the delay time of the time coordinator. Therefore, accurate time can be synchronized when implementing IoT, remote metering, and real-time media streaming using IoT mesh network.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2014.06a
• /
• pp.116-117
• /
• 2014

본 논문에서는 실시간으로 변하는 사용자의 컨텍스트를 고려하여 재구성되는 사용자 인터페이스를 제공하기 위한 인터페이스 제공 시스템 및 저작 도구에 관한 기술을 소개한다. 차별적 서비스를 제공하기 위해서 사용자가 컨텐츠를 소비하고 있는 시점에서의 컨텍스트를 해석하고 이를 반영한 유기적이고 적응적인 사용자 인터페이스를 제공할 수 있어야 한다. 사용자 인터페이스를 반응적으로 구성하고 이를 저작하는 도구에 대한 연구는 웹 기술의 발전과 함께 오랜 기간에 걸쳐 연구되었지만 단순 서비스 조합이나 물리적 GUI 생성에 관한 연구가 주를 이루고 있고 표준화된 컨텍스트와의 유기적 연결성을 고려한 연구는 사례 연구 정도에 머물러 있다. 본 논문에서는 웹을 기반하여 세부 기술에 대한 이해 없이 컨텍스트 기반 사용자 인터페이스를 구성하고 서비스 할 수 있는 시스템과 저작 도구에 대해 소개하고 향후 연구 방향에 대해 논의한다.

• Proceedings of the Acoustical Society of Korea Conference
• /
• autumn
• /
• pp.283-286
• /
• 2004

Due to advances in electronics very high quality audio reproduction is today possible. But the listening environment causes deviation of the audio system from the expected behavior. Firstly the listening Room significantly changes the audio signal frequencies and their phase. Secondly the position of the user in the room affects the perceived sound. With existing DSP technology it is possible to adequately correct these effects. In our work we developed a room correction system, correcting up to 7.1 channels using dual Motorola 56367 fixed point DSP's, implementing position dependent room effects measurement, real time compensation filter design and equalization filtering procedures.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2017.11a
• /
• pp.79-81
• /
• 2017

최근 오디오 기반의 그룹 대화 통신 기술이 급격히 발전하고 있는데 이는 원거리 간의 회의 또는 긴급 구조망, 음성 인식을 활용한 기술 분야에서 필요로 하기 때문이다. 과거 오디오 그룹 간의 실시간 서비스는 영상 통신보다 타이밍에 있어서 사용자에게 딜레이 되는 값을 전송하는 즉 버퍼 컨트롤이 문제가 되어 잘 사용되지 않았었다. 하지만 최근 다중경로 라우팅, QoS 전송량 감소 기술들이 소개되면서 N:N의 대화가 가능하게 되었다. 본 연구에서는 UDP Socket 방식을 활용하여 N:N 실시간 음성 서비스를 개발한다. 이는 무선단말기를 활용하여 3~4인이 그룹핑 되어 노래 경쟁을 할 수 있는 앱에 적용하여 개발하였다. 운전자가 혼자 운전할 때, 다른 지역에서 운전하는 사람들과 음성인식 인터페이스를 활용하여 즉각적인 그룹을 만들고, 자신과 다른 사람들이 노래를 부르고, 듣고 평가하는 과정에서 재미를 느끼게 함으로써 졸음을 방지할 수 있도록 개발하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2020.11a
• /
• pp.18-20
• /
• 2020

본 연구에서는 고차원 데이터에 대한 차원축소 및 군집 분석과 같은 비지도 학습 알고리즘에 대해 알아보기 위해서 얼굴 이미지 데이터 셋을 사용한다. 얼굴 데이터 셋에 대하여 주요 비지도 학습 알고리즘을 이용하여 실시간으로 클러스터링하고, 그 성능을 비교한다. 비디오에서 추출된 영상 속의 7명의 인물에 대하여 Scikit-learning 라이브러리에서 제공하는 클러스터링 알고리즘과 더불어 주요 차원축소 알고리즘(Dimension Reduction Algorithm)을 사용하여 총 10개의 알고리즘에 대하여 분석한다. 또한, 클러스터링 성능 검사를 통해 알고리즘의 성능을 비교해보고, 이를 통하여 앞으로의 연구 방향에 대해 고찰한다.

• International Journal of Advanced Culture Technology
• /
• v.5 no.1
• /
• pp.51-57
• /
• 2017

Digital signage is becoming part of daily life across a wide range of visual advertisements segments market used in stations, hotels, retail stores, hotels, etc. The current digital signage system used in market is generally works on limited user interactivity with static contents. In this paper, a new approach is proposed using computer vision based dynamic audience adaptive cost-effective digital signage system. The proposed design uses the Camera attached Raspberry Pi Open source platform to employ the real-time audience interaction using computer vision algorithms to extract facial features of the audience. The real-time facial features are extracted using Haar Cascade algorithm which are used for audience gender specific rendering of dynamic digital signage content. The audience facial characterization using Haar Cascade is evaluated on the FERET database with 95% accuracy for gender classification. The proposed system, developed and evaluated with male and female audiences in real-life environments camera embedded raspberry pi with good level of accuracy.