• International journal of advanced smart convergence
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• v.8 no.4
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• pp.40-46
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• 2019

The current education is becoming more extensive with the application of various teaching methods. This is a problem that is so distributed that it is difficult for users to find the data and it takes a long time to find the information they need. Currently, various educational services, materials, and instruments are developed and scattered. Therefore, it is important to raise students' awareness of aptitude and career path with customized education tailored to students. Conventional education platforms have very difficult to choose the right materials for students because of the spread of educational programs and institution materials. To solve this, we propose a customized recommendation approach to recommend customized educational service materials and institution for students to teachers, which helps teachers conveniently choose materials suitable for their respective environments. On this new platform, the CNN algorithm provides recommended content for classes and students. For real service on the educational service platform, we implement this system for Jeil edus business. Through this mechanism, we expect to improve the quality of education by helping to select the right service.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.104-112
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• 2019

This study proposed a robust detection algorithm. It detects face more stably with respect to changes in light and rotation forthe identification of a face shape. The proposed algorithm uses face shape asinput information in a single camera environment and divides only face area through preprocessing process. However, it is not easy to accurately recognize the face area that is sensitive to lighting changes and has a large degree of freedom, and the error range is large. In this paper, we separated the background and face area using the brightness difference of the two images to increase the recognition rate. The brightness difference between the two images means the difference between the images taken under the bright light and the images taken under the dark light. After separating only the face region, the face shape is recognized by using the self-organization feature map (SOFM) algorithm. SOFM first selects the first top neuron through the learning process. Second, the highest neuron is renewed by competing again between the highest neuron and neighboring neurons through the competition process. Third, the final top neuron is selected by repeating the learning process and the competition process. In addition, the competition will go through a three-step learning process to ensure that the top neurons are updated well among neurons. By using these SOFM neural network algorithms, we intend to implement a stable and robust real-time face shape recognition system in face shape recognition.

• ETRI Journal
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• v.36 no.2
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• pp.253-263
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• 2014

In the near future, traditional narrow and fixed viewpoint video services will be replaced by high-quality panorama video services. This paper proposes a visual-attention-aware progressive region of interest (RoI) trick mode streaming service (VA-PRTS) that prioritizes video data to transmit according to the visual attention and transmits prioritized video data progressively. VA-PRTS enables the receiver to speed up the time to display without degrading the perceptual quality. For the proposed VA-PRTS, this paper defines a cutoff visual attention metric algorithm to determine the quality of the encoded video slice based on the capability of visual attention and the progressive streaming method based on the priority of RoI video data. Compared to conventional methods, VA-PRTS increases the bitrate saving by over 57% and decreases the interactive delay by over 66%, while maintaining a level of perceptual video quality. The experiment results show that the proposed VA-PRTS improves the quality of the viewer experience for interactive panoramic video streaming services. The development results show that the VA-PRTS has highly practical real-field feasibility.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2004.11a
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• pp.203-206
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• 2004

본 논문에서는 오디오 워터마킹 기술을 이용하여 중앙방송국과 지방방송국간의 방송전환을 용이하게 할 수 있는 시스템을 구현하였다. 방송전환을 위한 동기화 시스템에서의 오 검출은 방송사고를 일으키기 때문에, 오디오 워터마크기술을 이용할 때 신뢰성이 매우 높아야 한다. 달 논문에서는 방송동기화 시스템에 효율적으로 적용할 수 있는 오디오 워터마킹 알고리즘을 개발하고, 이를 실시간으로 적용하여 방송전환에 사용할 수 있는 시스템을 구현하였다. 개발된 오디오 워터마킹 알고리즘에 의해서 워터마크가 삽입된 방송신호의 SNR은 66.1dB로서 워터마크 삽입전의 방송신호와의 구분이 어려웠다. 강인성 테스트에서는 96kbps와 128kbps의 MP3 압축을 하였을 때에도 $100\%$의 검출율을 보였으며, -50dB 이하의 잡음첨가에 대해서도 $100\%$ 검출율을 보였다. 구현된 시스템은 240시간의 실제 방송상황에서 워터마크가 삽입된 방송신호에 대한 검출율이 $100\%$이고, 오검출율이 $0\%$로 방송시스템으로서의 신뢰성을 확보하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.11a
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• pp.87-90
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• 2015

MPEG-2 TS(Transport Stream)는 DTV(Digital Television), IPTV(Internet Protocol Television), DMB(Digital Multimedia Broadcasting) 등 디지털 방송 분야에서 압축된 오디오 및 비디오 데이터를 다중화하는 데에 전 세계적으로 널리 사용되고 있다. MPEG-2 TS 표준이 제정된 것은 1990년대 초반으로서 20여 년이 지난 오늘날의 방송과 통신 환경에 적합하지 않은 부분이 많이 포함되어 있다. 이러한 상황을 고려하여, MPEG(Moving Picture Experts Group)에서는 2014년에 MPEG-2 TS를 대체하고자 차세대 멀티미디어 전송 표준으로서 MMT(MPEG Media Transport)를 표준화하였다. 특히 네트워크 환경의 발전에 따라, MMT 표준은 IP 친화적이고 여러 가지 다른 종류의 네트워크를 병용한 멀티미디어 전달이 쉽도록 설계되었다. 본 논문에서는 실시간 방송에 의해 수신되는 MPEG-2 TS로부터 실시간으로 MMTP(MMT Protocol) 스트림을 생성하여 UDP/IP로 유무선 인터넷을 통해 멀티미디어 스트리밍 서비스를 제공하는 시스템을 구현하였다. 이를 위해 MPEG-2 TS 실시간 변환 기능을 갖춘 MMT 스트리밍 서버와 이로부터 서비스를 받을 수 있는 MMT 클라이언트를 구현하고 그 동작을 실험을 통해 검증하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.7
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• pp.3468-3473
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• 2013

Conditions that overlay multicast tree must satisfy for the real-time application system of a video-conference, an internet broadcasting is two things. First, the degree of nodes in a tree must be proper value. Second, the diameter of the multicast tree, distance between longest two users should be short. If the path between two users in the tree is long, the delay time in data transmission between two users great. So, it is not suitable to the application system such as video-conferences. In this paper, the cost of the dijkstra algorithm calculate with proposed score-function through checking the extra bandwidth, the delay and the requested bandwidth. It is composed the tree through the dijkstra algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.79-84
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• 2010

In this paper, we developed the BMSWare(Bridge Management System Middleware) for bridge safety surveillance in real time processing. The developed system operates on web and considers the general monitoring application for bridges. In various environments in geographical location of bridge, it can obtain reliably data from various logger and sensors without re-programming. The main functions of the developed system include the acquisition, processing, backup and transmission of the collected sensor data. It was proved to be the safety and effectiveness by application of Mooyeong bridge.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.5
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• pp.113-130
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• 2011

Due to the development of information and communication technology, the global influence on politics, economics, society, and culture has grown. A major example of this impact on the economic sector is the growth of e-commerce, which increases both the speed and efficiency of businesses. In light of these new developments, businesses need to shift away from the misconception that information overwhelms to embrace the enhanced competitiveness that e-commerce provides. However, concern about fraudulent transactions through e-commerce is pertinent because of the loss in both critical revenue and consumer confidence in open markets. Current solutions for fraudulent transactions include real-time monitoring and processing, payment pending, and confirmation through SMS, E-mail, and other wired means. Our research focuses on the management of Fraud Detection Systems (FDS) to safeguard online electronic payment systems. With effective implementation of our research we hope to foster an honorable online trading culture and protect consumers. Future comparative research in domestic and abroad markets would provide further insight into preventing fraudulent transactions.

• Smart Media Journal
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• v.8 no.1
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• pp.74-81
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• 2019

Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.8
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• pp.510-517
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• 2014

Recently, Cable communications services are becoming the HDTV to 3DTV, UHDTV broadcasting and 100Mbps to 1Gbps Internet. however existing technologies are limited to provide high-quality broadband services in the HFC network. The network upgrade technologies have some problems that Up/Downsteam frequency extension, Cost of upgrading by using DOCSIS3.1, EPOC and Legacy STB compatibility, Cost of upgrading the network by RFoG, RF overlay PON. This paper propose the RF/PON based gigabit Transmission system in order to provide the 1Gbps internet without using frequency and the Multiscreen to IP devices. After the proposed RF/PON system was developed and implemented, this paper evaluate the performance of RF/PON system for simultaneously real-time braodcasting and 1Gbps internet, Multiscreen service, and so on.