• Review of KIISC
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• v.21 no.1
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• pp.38-43
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• 2011

스마트폰은 어플리케이션 마켓의 활성화와 SNS 서비스의 이용이 증가하면서 사람들에게 많은 관심을 받고 있는 휴대기기이다. 스마트폰은 사용자의 기호에 따라 어플리케이션을 설치하여 개인화 할 수 있는 특징을 지녔다. 따라서 스마트폰은 사용자에 따라 다량의 개인 정보를 저장하고 있을 수 있으며, 카메라 모듈, GPS 모듈과 같이 상황 정보를 감지할 수 있는 센서들을 내장하고 있어 신뢰할 수 있는 강한 보안 서비스가 요구된다. 윈도우즈 폰 7은 기존의 윈도우즈 시스템이나 Xbox LIVE, Zune, Windows Azure 등과 연동할 수 있는 특징을 가진 모바일 운영체제이다. 본 논문에서는 모바일 운영체제 중 국내에 아직 잘 알려지지 않은 윈도우즈 폰 7의 보안 체계에 대해 분석한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.5
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• pp.157-163
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• 2016

This paper presents Finger Keyboard which detects the user's key types on a keyboard drawn on the paper using a video camera. The Finger Keyboard software was written in standard C/C++ language and thus easy to port to other computing environments. We installed a popular USB-type web camera on a Windows PC and implemented the Finger Keyboard as a Windows application which detects key typing and then injects the key code into the message queue of the Windows operating system. Also we implemented the Finger Keyboard on the Raspberry Pi 2 embedded computer with a dedicated camera and connected it to the Android device as an external keyboard through the Bluetooth. The result of experiments showed that the average ratio of recognition success is around 80% at the typing speed of 120 characters per minute.

• The KIPS Transactions:PartC
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• v.12C no.4 s.100
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• pp.589-596
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• 2005

The objective of this paper lies in the design and implementation of a home gateway supporting live video streaming which flows from the Non-SIP video camera in home to the mobile SIP device outside. We developed the home gateway on the OSGi framework and employed the RTC technology which embeds an SIP stack so that the multimedia session can be established from the home device to the mobile user outside. And also we developed an RTC bundle to manage the session and a virtual capture device driver to read the video stream from the Non-SIP video camera in the home network, and installed them on the home gateway. Finally, we constructed the experimental environment that has the windows messenger as the SIP mobile device and an AXIS 2100 UPnP video camera as a video source, and then tested if the session establishment to the mobile user from the camera and live video streaming work well between them.

• Journal of Korea Multimedia Society
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• v.15 no.8
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• pp.986-995
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• 2012

In this paper we propose a real-time moving object tracking method on a smart phone camera. By considering the limit of non-learning approach on low-performance platforms, we use the sliding-window detection technique based on histogram features. We solve the problem of the time-consuming histogram computation on each sub-window by adapting the integral histogram. For additional speed and tracking performance, we propose a new adaptive bin method. From the experiments on our dataset, we achieved high speed performance demonstrating 34~63 frames per second.

• Journal of the Korea Society of Computer and Information
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• v.18 no.10
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• pp.39-46
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• 2013

Recently, the mobile industries grow up rapidly and their performances are improved. So the usage of mobile devices is increasing in our life. Also mobile devices equipped with a high-performance camera, so the image stitching can carry out on the mobile devices instead of the desktop. However the mobile devices have limited hardware to perform the image stitching which has a lot of computational complexity. In this paper, we have proposed improved feature descriptor extraction and matching method for efficient image stitching on mobile environment. Our method can reduce computational complexity using extension of orientation window and reduction of dimension feature descriptor when feature descriptor is generated. In addition, the computational complexity of image stitching is reduced through the classification of matching points. In our results, our method makes to improve the computational time of image stitching than the previous method. Therefore our method is suitable for the mobile environment and also that method can make natural-looking stitched image.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.85-94
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• 2012

In this paper, we develop the new gestures of screen control with fingers on the FTIR multi touch table. It also describes recognition of mobile devices on the table using infrared camera. The FTIR multi touch table was incovenient to the existiog Bluetooth connection, because it is not provided with an HID(Human Input Device) interface. The proposed data transmission method using mobile device is to relieve the inconvenience of the data transfer and proceed more effectively. The new gestures and data transmission method is verified by FTIR multi touch table that is implemented for testing.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.14 no.5
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• pp.15-21
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• 2015

The glass used for Mobile Camera Window is required to have high strength. Cell type manufacturing by means of CNC is widely used for camera window. Individual loading and unloading is needed for each process, such as painting and PVD, in cell type manufacturing. The purpose of this study is to search the enhanced manufacturing process with sheet type throughout bulk unit production in painting and PVD. This study includes sheet type manufacturing processes such as laser cutting, wet etching, 2nd tempering, printing, and AF/AR coating.