• International Journal of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.71-76
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• 2018

The technology convergence of television, communication, and computing devices enables the rich social and entertaining experience through Smart TV in personal living space. The powerful smart TV computing platform allows to provide various user interaction interfaces like IR remote control, web based control, body gesture based control, etc. The presently used smart TV interaction user control methods are not efficient and user-friendly to access different type of media content and services and strongly required advanced way to control and access to the smart TV with easy user interface. This paper propose the optical wireless communication (OWC) based remote controller design for Smart TV using smart device Flashlights. In this approach, the user smart device act as a remote controller with touch based interactive smart device application and transfer the user control interface data to smart TV trough Flashlight using visible light communication method. The smart TV built-in camera follows the optical camera communication (OCC) principle to decode data and control smart TV user access functions according. This proposed method is not harmful as radio frequency (RF) radiation does it on human health and very simple to use as well user does need to any gesture moves to control the smart TV.

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.70-78
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• 2011

Today cases of using individual service on community TV are increasing with the advent of smart TV. The traditional way for using individual service like e-mail or SNS on TV is not simple and puts in too much time because it has to type so many text using remote control that is unsuitable for typing. In this paper, interaction using cube remote control is proposed in order to facilitate individual service on TV. It is simple interaction like shaking and tapping instead of a complex interaction method. In addition, it is believed that the proposed simple interaction using cube interaction might be one of great alternatives for using individual service on smart TV.

• The Transactions of the Korean Institute of Power Electronics
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• v.19 no.4
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• pp.320-326
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• 2014

In this paper, the new smart dimming algorithm which is mixed with PWM and PAM control method is proposed for reducing the power consumption of LED TV Backlight. The proposed technique is using the curve characteristics of LED forward voltage and current which is proportionally changing LED forward voltage as changing LED forward current. Therefore, each PWM and PAM control method has different LED forward voltage and current in the same brightness condition. The PWM control method adjusts the brightness of LED TV Backlight by only varying the duty ratio of PWM and constantly sustaining the amplitude of LED forward current and voltage. So, the level of LED forward current and voltage in the PWM control method is relatively high and constant regardless of duty ratio of PWM. On the other hand, the PAM control method adjusts the brightness of LED TV Backlight by directly varying the level of LED forward current. So, the level of LED forward current and voltage in the PAM control method is lowered according to the brightness level. For the above-mentioned reason, the PAM control method has the advantage of reducing the total power consumption of LED TV Backlight at the brightness condition of below 100%, compared with PWM control method. By implementing this characteristic to LED driver circuit with control algorithm in MCU, the power consumption of LED TV Backlight can expect to be reduced. The effectiveness of the proposed method, new smart dimming algorithm, CPWAM(=Conditional Pulse Width Amplitude Modulation), has been verified by experimental results.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.9
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• pp.822-830
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• 2000

A conventional advanced control algorithm is proposed in this paper for improved temperature regulation of a TV-glass melting furnace. The TV-Glass melting furnace is a typical MIMO(Multi-Input Multi Output) system which is subject to various thermal disturbances. Because of its complexity, a detailed mathematical model of the furnace is hard to establish. To design a temperature control control system of the furnace, major input-output variables are selected first, and simple FOPDT(First Order Plus Dead Time) models are established based on the physical meaning and experimental process data. Based on the FOPDT models, a multi-loop control system composed of cascade and single loops are designed for effective control of the MIMO system. Practical implementation on the 150 ton/day furnace using the DCS(Distributed Control System) showed that the proposed control technique performs better than manual control.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.43-46
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• 2010

스마트 폰의 선풍적인 인기에 힘입어 TV 산업에서도 스마트TV가 출현해 시장 영역을 넓히고 있다. 이에 따라 TV 리모컨 또한 새로운 방식의 유저 인터페이스를 지원하는 하나의 스마트 리모컨으로 업그레이드 되고 있으며, 스마트 리모컨을 통한 홈 멀티미디어 디바이스의 통합 제어와 미디어 공유에 대한 여러 가지 시도가 이루어지고 있다. 이에 본 논문은 DLNA 환경 속 스마트 리모컨과 TV 디바이스의 역할에 대해 재 정의하고, 이를 기반으로 DLNA 및 UPnP 디바이스 아키텍처에 제시된 컨트롤 포인트와 디바이스 간 제어 및 미디어 공유 절차에 따라 스마트 리모컨을 통한 TV의 제어 기법을 제안한다. 제안된 스마트 리모컨을 통한 TV의 제어는, 크게 사용자와 무관한 백그라운드 스레드로 처리될 제어 준비 단계와 사용자의 입력을 통해 실질적인 제어를 수행하는 제어 단계로 나뉘고, 각각의 단계에 해당하는 UPnP 미디어 네트워크 단계에 맞춰 진행된다. 제안된 DLNA 환경 속 TV 제어 방법의 구현을 위해서는 선행적으로 TV OSD 제어를 위한 코드에 연동해 TV 디바이스 서비스 서술자의 확장이 이루어져야 할 것이다.

• Journal of the Ergonomics Society of Korea
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• v.31 no.4
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• pp.567-575
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• 2012

Objective: The aim of this study is to get an optimal mental model by investigating user's natural behavior for controlling smart TV by mid-air gestures and to identify which factor is most important for controlling behavior. Background: A lot of TV companies are trying to find simple controlling method for complex smart TV. Although plenty of gesture studies proposing they could get possible alternatives to resolve this pain-point, however, there is no fitted gesture work for smart TV market. So it is needed to find optimal gestures for it. Method: (1) Eliciting core control scene by in-house study. (2) Observe and analyse 20 users' natural behavior as types of hand-held devices and control scene. We also made taxonomies for gestures. Results: Users' are trying to do more manipulative gestures than symbolic gestures when they try to continuous control. Conclusion: The most natural way to control smart TV on the remote with gestures is give user a mental model grabbing and manipulating virtual objects in the mid-air. Application: The results of this work might help to make gesture interaction guidelines for smart TV.

• Korean Journal of Child Studies
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• v.15 no.2
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• pp.21-35
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• 1994

Two hundred and sixty-six mothers with preschool and primary school children filled out TV diaries for three days around the TV turning-off campaign day initiated by YMCA. TV diaries were designed to record the TV programs watched by family members as well as the focused child's activities every 15 min. 121 families participated in the campaign voluntarily and 145 families served as the control group. The campaign group watched less than the control group even before the campaign day and differed in several family backgrounds primarily due to the difference of family members' ages in both groups. Despite participating in the campaign, 53.9％ of the families among the campaign group watched TV and 35.5％ of the children in these families watched TV on the campaign day. TV watching time measured by the questionnaire was significantly higher than the estimates by diary method. Participating children in the campaign increased in activities such as reading, indoor play, as well as video watching. In the campaign group, TV watching time on the next day of the campaign increased slightly than the day before it. Preschool and primary school children's activities as well as the watched TV programs were analyzed separately for two groups. In addition, total TV on-time and coviewing patterns by the focused child with the family members were analyzed in relation to the child's other TV watching patterns as well as their related variables.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.9 no.3
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• pp.80-85
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• 2010

In this paper, we present an algorithm for efficient control of backlight LED in order to reduce the power consumption of LCD TV. In addition, a pragmatic implementation method is presented. In conventional local dimming control, backlight LEDs of LCD TV are divided into $M{\times}N$ blocks. And, the proper luminance for each block is computed according to input image and used for dimming control. But, LED light of each block is diffused and affects the neighboring blocks, so that luminance of each block becomes larger than that of intent. In the proposed algorithm, dimming control values are reduced by the amount of quantity affected by the neighboring blocks using light spread function, resulting in additional reduction of power consumption.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.1-6
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• 2014

Companies almost don't use an integrated control system using expensive network system in multimedia like TV and DID, despite IP-Broadcasting and communication equipment have expanded rapidly. The proposed integrated TCU(terminal control unit) is a control device that supports TV power On/Off check and remote control, power control reservation function, TV channel change, a variety of interface supports of input/output AC power & Lan port, RS-232C and IR using existing IP network after there is installed the Wake-on -Lan in the set-top box. The TCU can control and monitor 24 hours unlike existing low-cost control system RF method. In existing control equipment markets without expandability and low price, the TCU development including 24 hours monitoring and automatic control functions is expected to secure a wide range of companies.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10c
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• pp.516-520
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• 2007

This paper presents a intuitive, simple and easy smart home TV remote control system using the hand gesture recognition. Hand candidate regions are detected by cascading policy of the part of human anatomy on the disparity map image, Exact hand region is extracted by the graph-cuts algorithm using the skin color information. Hand postures are represented by shape features which are extracted by a simple shape extraction method. We use the forward spotting accumulative HMMs for a smart home TV remote control system. Experimental results show that the proposed system has a good recognition rate of 97.33 % for TV remote control in real-time.