• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.33-35
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• 2016

손 제스처는 스마트 글라스 등 웨어러블 기기의 NUI(Natural User Interface)를 구현하기 위한 수단으로 각광받고 있다. 최근 MPEG 에서는 IoT(Internet of Things) 및 웨어러블 환경에서의 미디어 소비를 지원하기 위한 IoMTW(Internet of Media-Things and Wearables) 표준화를 진행하고 있다. 본 논문에서는 손 제스처를 웨어러블 기기의 NUI 로 사용하여 웨어러블 기기 제어 및 미디어 소비를 제어하기 위한 손 제스처 검출과 인식 기법를 제시한다. 제시된 기법은 스테레오 영상으로부터 깊이 정보와 색 정보를 이용하여 손 윤곽선을 검출하여 이를 베지어(Bezier) 곡선으로 표현하고, 표현된 손 윤곽선으로부터 손가락 수 등의 특징을 바탕으로 제스처를 인식한다.

• Journal of Internet of Things and Convergence
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• v.1 no.1
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• pp.27-32
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• 2015

This study analyzed the relationship building and maintaining with advertising in new media advertising environment. The literature research and focus group interview were mainly used for research method, It was found that advertising played the role of building and developing the relationship as times went by. On the contrary, the relationship could be damaged by advertising. And model, music in advertising and program were the major factors which build relationship.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.475-476
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• 2022

Internet of Media Things (IoMT)는 Internet of Things (IoT) 기술을 기반으로 미디어 기반 제어를 지원하고자 하는 표준으로 진행되고 있으며, 다양한 미디어 관련 기기를 크게 네 종류의 카테고리로 구분하여 미디어 기반 서비스를 제공하기 위한 인터페이스 표준을 정의하고 있다. 또한 미디어 기반 서비스 제공을 위한 다양한 유즈 케이스를 제공하고 있으며 이는 서비스 구성 및 활용에 대한 레퍼런스로 제공되고 있다. 본 논문에서는 이와 같은 IoMT 기술을 활용하여 정밀 농업 서비스를 제공하는 구성 기술을 제안한다. 정밀 농업 기술은 영상을 포함한 센서 기술들을 사용하여 농업 환경을 분석하고 이를 기반으로 사용자에게 의사결정을 지원하는 도구로 제시되고 있으며, 기존 온도 습도 등 센서 기반의 환경으로부터 영상 정보를 포함한 분석 기술을 활용하는 형상으로 확장되고 있다. 이는 기존의 IoT 기술에 대한 미디어 기술의 접목이 반드시 요구되는 부분으로, 정밀 농업을 위한 분석 기술의 활용에 대한 IoMT 기술의 새로운 사용 시나리오를 제시할 수 있다. 본 논문에서는 딸기 작물을 대상으로 스마트팜에서의 영상 정보를 활용한 분석 기법을 제안한다.

• Journal of Broadcast Engineering
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• v.23 no.2
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• pp.246-252
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• 2018

Hand gestures are attracting attention as a NUI (Natural User Interface) of wearable devices such as smart glasses. Recently, to support efficient media consumption in IoT (Internet of Things) and wearable environments, the standardization of IoMT (Internet of Media Things) is in the progress in MPEG. In IoMT, it is assumed that hand gesture detection and recognition are performed on a separate device, and thus provides an interoperable interface between these modules. Meanwhile, deep learning based hand gesture recognition techniques have been recently actively studied to improve the recognition performance. In this paper, we propose a method of hand gesture recognition based on CNN (Convolutional Neural Network) for various applications such as media consumption in wearable devices which is one of the use cases of IoMT. The proposed method detects hand contour from stereo images acquisitioned by smart glasses using depth information and color information, constructs data sets to learn CNN, and then recognizes gestures from input hand contour images. Experimental results show that the proposed method achieves the average 95% hand gesture recognition rate.

• ETRI Journal
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• v.44 no.5
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• pp.759-768
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• 2022

A novel energy harvesting technique that uses conducted electromagnetic interference as an energy source is presented. Conducted EMI generated from fluorescent light using a switched-mode power supply was measured and modeled as an equivalent voltage source. Two types of rectifier circuits-a bridge rectifier and a voltage doubler-were used as the harvesting devices for conducted EMI source. The matching networks were designed based on the equivalent model, and the harvested power was improved. The implemented energy harvester produces a regulated power over 68.9 mW and current over 15.1 mA while a regulated voltage can be selected between 3.3 V and 5 V. The proposed system shows the highest harvesting power indoor environment and can provide enough power for the Internet of Things devices.

• Journal of Multimedia Information System
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• v.5 no.1
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• pp.27-34
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• 2018

In recent years, with the blooming of Internet of Things (IoT) and Cloud Computing (CC), researchers have begun to discover new methods of technological support in all areas (e.g. health, transport, education, etc.). In this paper, in order to achieve a type of network that will provide more intelligent media-data transfer new technologies were studied. Additionally, we have been studied the use of various open source tools, such as CC analyzers and simulators. These tools are useful for studying the collection, the storage, the management, the processing, and the analysis of large volumes of data. The simulation platform which have been used for our research is CloudSim, which runs on Eclipse software. Thus, after measuring the network performance with CloudSim, we also use the Cooja emulator of the Contiki OS, with the aim to confirm and access more metrics and options. More specifically, we have implemented a network topology from a small section of the script of CloudSim with Cooja, so that we can test a single network segment. The results of our experimental procedure show that there are not duplicated packets received during the procedure. This research could be a start point for better and more efficient media data transmission.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.1-6
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• 2014

The IoT (Internet of Things) is considered as a core technology to realize interconnected world. At this, companies composing ICT industry and standard organizations make efforts to accelerate it. IETF CoRE(Constrained RESTful Environment) working group standardized CoAP (Constrained Application Protocol) for the constrained device. CoAP has RESTful architecture and CoAP option is provided to use forward-proxy. The forward-proxy is used to translate protocol and perform requests on behalf of the client. However, communication between Internet based client and LLN(Low-power and Lossy Network) based CoAP server architecture has limitations to deploy real IoT service. In this architecture, problems like response delay, URI assignment and DoS attack can be occurred. To solve these problems, we propose the reverse-proxy based system. We consider both of static IoT and mobility IoT environments. Finally, our proposed system is expected to provide efficient IoT service.

• Broadcasting and Media Magazine
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• v.23 no.3
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• pp.78-84
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• 2018

최근 IoT 산업의 발달로 각 산업의 특색에 맞는 IoT 생태계를 구축하려는 옴직임이 활발하다. 이에 ITU-T, ISO, IEEE 등 여러 국제 표준화 기구에서는 완전 개방적인 사물 인터넷을 위해 공통된 표준의 필요성을 인지하고 활발히 논의 중이다. 특히, MPEG-IoMT(Internet of Media Things)에서는 탈중앙화된 미디어사물인터넷 시스템 구성을 위해 블록체인을 적용하려는 논의가 진행 중이다. 이에 본 투고에서는 블록체인과 MPEG에서 진행 중인 IoMT 프로젝트의 연관성에 대해 설명하고, 블록체인 기반의 미디어사물 간 거래 프로세스를 설명한다.

• Smart Media Journal
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• v.5 no.2
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• pp.24-32
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• 2016

Recently, the development of electronic teaching materials and the demand of digital learners have led the needs on the education contents that replace learning from character information and the change of an information design method for this. Chinese character education in the traditional schooling mainly focuses on writing and memorization (semantic memory). This way that the stories do not exist has brought the learners' recognition that Chinese character is difficult to learn. Meanwhile, for a language study such as English, cross-media development between printed materials and audio-visual materials has been actively introduced. The method that extends episode memories along with memorization through a story is widely used. Therefore, this content suggests a prototype, which is broken away from an existing way of learning Chinese character that mainly focuses on writing, one sided instruction and information cramming. This makes learners learn through a story from printed materials and animation. Furthermore, it suggests a method that extends episode memories through Chinese education contents based on IoT explaining the principle of Chinese character by combining IT technology (information and communications, IoT) and education contents on block toys.

• Journal of Broadcast Engineering
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• v.22 no.1
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• pp.78-86
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• 2017

The Internet of Things can offer disabled people the assistance and support, which is essential to achieve a good quality of life. The visually impaired people need assistance in finding locations, detecting obstacles on the way, and getting directions while moving around to reach their destination. Based on this persistent need, this paper proposes a navigation system for blind people using Internet of Things. The technologies used in our proposed system are: a smart cane containing an RFID reader and an ultrasonic sensor, a smart phone and Internet. The sensed data from the ultrasonic sensor for detecting obstacle is converted to International Standard format from ISO/IEC 23005-5 (MPEG-V Part 5). The system detects the blind person's location using the RFID tags implemented on the way. The system uses voice message in the smart phone to communicate with the blind person to lead him to his destination. The proposed system has been tested to navigate successfully in the campus.