• Transactions of the Society of Information Storage Systems
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• v.7 no.2
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• pp.70-74
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• 2011

The mobile camera module is a device to be inserted in the digital device for camera feature. The mobile camera module is being shaken by vibrations such as handshake during the exposure time. The clarity is compromised by these vibrations, thus the vibration is considered as an external disturbance. Moreover the use of mobile camera module has been being expanded for automotive vibration should be considered. These external disturbances can cause image blurring, thus optical image stabilization should be applied for image compensation. The compensator is fulfilled mechanically by movable lens group or image sensor that adjusts the optical path to the camera movement. Open loop control is useful for well-defined systems like compliant mechanism. Notch filter and lead compensator are designed and applied to improve the stability and bandwidth. The final level of image compensating is confirmed by image processing with MATLAB and CODE V to verify the better performance.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.191-198
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• 2013

The interests in alternative office systems and solutions (called smart work in Korea) are growing. With the lens of boundary theory, this paper tries to understand the nature of work/nonwork boundaries which smart work will be expected to blur. Boundary theory provides permeability, boundary strength, and interference as its key concepts and an empirical study is performed about the individual perception on those concepts. The result of the survey from telecommuters and/or smart work center users at the Company K shows that they perceive work/nonwork permeability, boundary strength, and interference are asymmetric. The result suggests that asymmetric nature of the work/nonwork boundaries should be taken into account when alternative office systems are brought into use.

• Archives of Plastic Surgery
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• v.38 no.4
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• pp.543-546
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• 2011

Purpose: LASIK, one of the currently popular ophthalmic procedures, can sometimes result in dry eye symptoms. In the patient who had underwent LASIK operation, the periorbital surgery may be more likely to lead to such a complication as dry eye symptom. We would like to report a case of corneal abrasion occurred after transconjunctival blepharoplasty in post-LASIK state and suggest the method about preventing the complication. Methods: A 30-year-old female patient underwent transconjunctival blepharoplasty and microfat graft into the face. She had history of LASIK operation 2 years ago. Corneal protector was applied to both eye during transconjunctival operation. After the surgery, she complained of visual blurring at left side. Ophthalmic examination revealed corneal abrasion of left eye. Results: Cornea protecting lens was applied to left eye for 2 weeks. Steroid and antibiotic eye drops were applied for relieving the symptoms and the prevention from progressing of complication. After 1 week, visual power and acuity was recovered to preoperative state. No other specific complications happened. Conclusion: Post-LASIK patient may have possibility of decreased corneal sensation and tear production. Preoperative ophthalmic examination is recommended for the prevention of complication. When corneal protector is applied, we suggest Optagel$^{(R)}$ as a useful lubricant.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.19-29
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• 2006

As the security of personal information is becoming more important in mobile phones, we are starting to apply iris recognition technology to these devices. In conventional iris recognition, magnified iris images are required. For that, it has been necessary to use large magnified zoom & focus lens camera to capture images, but due to the requirement about low size and cost of mobile phones, the zoom & focus lens are difficult to be used. However, with rapid developments and multimedia convergence trends in mobile phones, more and more companies have built mega-pixel cameras into their mobile phones. These devices make it possible to capture a magnified iris image without zoom & focus lens. Although facial images are captured far away from the user using a mega-pixel camera, the captured iris region possesses sufficient pixel information for iris recognition. However, in this case, the eye region should be detected for accurate iris recognition in facial images. So, we propose a new fast iris detection method, which is appropriate for mobile phones based on corneal specular reflection. To detect specular reflection robustly, we propose the theoretical background of estimating the size and brightness of specular reflection based on eye, camera and illuminator models. In addition, we use the successive On/Off scheme of the illuminator to detect the optical/motion blurring and sunlight effect on input image. Experimental results show that total processing time(detecting iris region) is on average 65ms on a Samsung SCH-S2300 (with 150MHz ARM 9 CPU) mobile phone. The rate of correct iris detection is 99% (about indoor images) and 98.5% (about outdoor images).

• Journal of Korea Multimedia Society
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• v.13 no.3
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• pp.438-456
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• 2010

Iris recognition uses a unique iris pattern of user to identify person. In order to enhance the performance of iris recognition, it is reported that the diameter of iris region should be greater than 200 pixels in the captured iris image. So, the previous iris system used zoom lens camera, which can increase the size and cost of system. To overcome these problems, we propose a new method of enhancing the accuracy of iris recognition on low-resolution iris images which are captured without a zoom lens. This research is novel in the following two ways compared to previous works. First, this research is the first one to analyze the performance degradation of iris recognition according to the decrease of the image resolution by excluding other factors such as image blurring and the occlusion of eyelid and eyelash. Second, in order to restore a high-resolution iris image from single low-resolution one, we propose a new method based on multiple multi-layered perceptrons (MLPs) which are trained according to the edge direction of iris patterns. From that, the accuracy of iris recognition with the restored images was much enhanced. Experimental results showed that when the iris images down-sampled by 6% compared to the original image were restored into the high resolution ones by using the proposed method, the EER of iris recognition was reduced as much as 0.133% (1.485% - 1.352%) in comparison with that by using bi-linear interpolation