• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.99-105
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• 2012

With the rapid development and diffusion of smart phone applications, mobile users are able to use various useful mobile services in humdrum life. Especially, interesting applications like QR code using camera module in a smart phone are developed continuously nowadays. We realized that the size and shape of shooting objects taken by a smart phone camera module are very different according to their types and versions of the android-based smart phone in the process of developing applications for measuring the shooting object using camera module of a smart phone. In this paper, we investigate the major differences among smart phone types and system versions when we take specific object with camera module of smart phones, analyze the various characteristics of camera modules that influencing the real size of the shooting object taken by a smart phone, and apply them to the development of the smart camruler application.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.1
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• pp.65-71
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• 2013

In this work, new smart phone based moving target detection is proposed. In order to implement the task, methods of real time image transmission from network camera, motion detecting algorithm and its effective implementation are also addressed. The network camera transfers image data by MJPEG format which contains various information such as data and IP address, and the smart phone separates the image data received through a WiFi module. Later, the image data is converted to a Bitmap image format, and with the help of the embedded OpenCV library on a smart phone and algorithm, it was found that the moving object was identified effectively in terms of real time monitoring and detection.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.93-101
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• 2017

The purpose of this paper is to investigate the effect of the smart phone camera on the company's employees or employees of partner companies, we want to block things in advance. In this paper, we propose a smart phone camera control system which is connected with the personnel access right which enables to share the photographed image of the authorized user and the data shot only within the enterprise. To this end, we have developed the installation status of smart phone control program (MCS: Mobile Camera Control System) of employees, employees and visitors of company, and experimented and analyzed whether the smart phone control program installed in the authorized area. In addition, when visitors visited the company, the effect of prevention of photograph shooting through smart phone camera and the cost of seal sticker attached to the smart phone camera lens part were reduced.

• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.1
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• pp.43-50
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• 2013

The narrow dynamic range of most smart phone cameras is severely limited. It usually is narrower than the dynamic range of most scenes. So we proposes a illuminance dynamic range expansion using multi-point knee for smart phone camera. Such as logarithmic functions the proposed method compress the image sensor output signal. Additionally, the proposed method was merged into the gamma that is essential circuit for any cameras. To justifying multi-point knee effectiveness, we configure the control and quality evaluation system for smart phone camera module. Experimental results show that the lost information by cut off and saturated affectively reconstructed in darker and in brighter areas. Finally this methods have advantage to implement without any changing hardware for conventional smart phones.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.8
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• pp.794-800
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• 2015

This paper describes the design for a defective product inspection device for the curved glass used in smart-phone. Cameras are used as inspection devices to find cracks in LCDs (Liquid Crystal Displays), PDPs (Plasma Display Panels), etc. The devices used to inspect the curved glass used in smart-phone consist of a camera, two back-light apparatus, an inspection apparatus main body, and an image processing program. Camera image calibration was performed to smooth an image taken with the camera, and as a result, the average error was less than 0.12 pixels. And the image of a smart-phone's curved glass taken with the camera was processed using the produced program. As a result, the program could correctly extract the cracks on the curved glass. Thus, it is thought that the designed inspection device can successful detect cracks in curved tempered glass.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.151-157
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• 2012

This paper implements an effective attendance management and monitoring system utilizing the RFID(Radio Frequency IDentification) and Smart phone for student. In this paper, RFID system use 13.56MHz to control the attendance, and we can show that information of RFID and dynamic image through IP camera in Smart phone. We also make up the contents and database utilizing the labview program in computer. Especially, proposed technique can obtain dynamic image by server implementation at real time basis so that it is possible to use simultaneously several Smart phone. From the various and practical experiment, it is confirm that proposed system is useful for attendance management and remotely monitoring.

• Korean Journal of Optics and Photonics
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• v.28 no.4
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• pp.141-145
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• 2017

We design an F/1.8 smart -phone camera lens utilizing he Forbes aspherical-surface equation, which can effectively create a strong asphere, compared to the conventional, standard aspherical equation. We also describe the principal methodology and procedural steps of optical design to achieve specifications.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.1
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• pp.1-6
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• 2015

Recently, handy pulse measurement method was introduced by using smart phone camera. However, measured values are not consistent with the variations of external light conditions, because the external light interfere with dynamic range of captured pulse image. Thus, adaptive dynamic range reconstruction algorithm is proposed to conduct pulse measurement robust to light condition. The minimum and maximum values for dynamic ranges of green and blue channels are adjusted to appropriate values for pulse measurement. In addition, sigmoid function based curve is applied to adjusted dynamic range. Experimental results show that the proposed algorithm conducts suitably dynamic range reconstruction of pulse image for the interference of external light sources.

• Journal of Satellite, Information and Communications
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• v.10 no.2
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• pp.30-33
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• 2015

In this paper, we proceeded a study on the Hybrid RF based development of the smart phone Application skin disease monitoring using CMOS camera. we proposed an image transfer technology which can use the CMOS camera and we developed the smart phone application which can be possible to use a remote monitoring for skin disease. Image transfer technology using Hybrid RF communication applied for WiFi using CMOS camera. We implemented the function which can use a remote monitoring using Wi-Fi. These suggestion can be a good example for endoscopic applications using hybrid RF based smart phone application of skin disease monitoring using CMOS camera.

• The Journal of Society for e-Business Studies
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• v.17 no.3
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• pp.1-14
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• 2012

As the techniques of electronic and information are advancing, the computing power of a smart phone is becoming more powerful and the storage capacity of a smart phone is becoming larger. As the result, various new useful services are becoming available on smart phones. The context-aware service and mobile augmented reality have recently been the most popular research topics. For those newly developed services, identifying the object in the picture taken by the camera on the phone performs an extremely important role. So, many researches of identifying pictures have been published and most of them are based on the time consuming image recognition techniques. On the contrary, this paper introduces a very fast and effective method of identifying the objects on the photo making use of the sensor data obtained from the smart phone and electronic maps. Our method estimates the line of sight of the camera with the location and orientation information provided by the smart phone. Then it finds any element of the map which intersects the line of sight. By investigating those intersecting elements, our method identifies the objects on the photo.