• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.2
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• pp.137-145
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• 1998

In this paper, we propose a tube-hole center detection vision algorithm verifying the position of a tele-controlled robot and providing visual information for increasing reliability and efficiency in the diagnosis of steam generator (SG) tubes in nuclear power plant. A tele-controlled robot plays a role in carrying the probe used in inspecting the integrity of SG tubes. Thus accurately locating a tele-controlled robot on the desired tube-hole center is important issue for reliability of inspection. To do this work, we have to find the tube-hole center locations from the input image. At first, we apply the three-class segmentation method modified for this application. WE extract minimum bounding rectangles (MBRs) in the theresholded binary image. Second, for discriminating between MBR by tube and MBR by noise, we introduce the MBR rejection rules as knowledge-based rule set. MBRs are divided into the very dark region MBRs and the very bright region MBRs. In order to describe the region of complete tube-hole, the MBRs need a process of pairing each other. We then can find the tube-hole center from the paired MBR. For more accurately finding the tube-hole center in several sequential images, the centers of some frames need to be averaged. We tested the performance of our method using hundreds of real images.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3144-3164
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• 2019

Face recognition systems have several potential applications, such as security and biometric access control. Ongoing research is focused to develop a robust face recognition algorithm that can mimic the human vision system. Face pose, non-uniform illuminations, and low-resolution are main factors that influence the performance of face recognition algorithms. This paper proposes a novel method to handle the aforementioned aspects. Proposed face recognition algorithm initially uses 68 points to locate a face in the input image and later partially uses the PCA to extract mean image. Meanwhile, the AdaBoost and the LDA are used to extract face features. In final stage, classic nearest centre classifier is used for face classification. Proposed method outperforms recent state-of-the-art face recognition algorithms by producing high recognition rate and yields much lower error rate for a very challenging situation, such as when only frontal ($0^{\circ}$) face sample is available in gallery and seven poses ($0^{\circ}$, ${\pm}30^{\circ}$, ${\pm}35^{\circ}$, and ${\pm}45^{\circ}$) as a probe on the LFW and the CMU Multi-PIE databases.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.2
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• pp.139-146
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• 2016

Recently, popularity of 3D technology has been growing significantly and it has many application parts in the various fields of industry. In order to overcome the limitations of 2D machine vision technologies based on 2D image, we need the 3D measurement technologies. There are many 3D measurement methods as such scanning probe microscope, phase shifting interferometry, confocal scanning microscope, white-light scanning interferometry, and so on. In this paper, we have used the extended depth of focus (EDF) algorithm among 3D measurement methods. The EDF algorithm is the method which extracts the 3D information from 2D images acquired by short range depth camera. In this paper, we propose the EDF algorithm using the edge informations of images and the average values of all pixel on z-axis to improve the performance of conventional method. To verify the performance of the proposed method, we use the various synthetic images made by point spread function(PSF) algorithm. We can correctly make a comparison between the performance of proposed method and conventional one because the depth information of these synthetic images was known. Through the experimental results, the PSNR of the proposed algorithm was improved about 1 ~ 30 dB than conventional method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.537-539
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• 2016

Recently, unmanned technologies interest increased. An unmanned boat is not directly on people and radio can be controlled by boat. Used for military unmanned boat was first developed in the United States Navy. In recent years, for hobby, for pesticide application, for water activities, expanding exploration in various ways, including for use. The role of a variety of unmanned boat above, In the case of a variety of unmanned probe of the role of unmanned boat on the boat people who don't be able to come to the vision of the advantage can not be exploring places like blind spot. In this paper, The Blind Spot are explorations of places such as streaming real-time as possible, an unmanned boat using Raspberry Pi that support implementation. Receiver input signals of an unmanned boat to the transmitter under the manipulation of, using smartphones hotspot feature Raspberry Pi and smartphones, network connection. Via Raspberry Pi motion of using real-time streaming using unmanned boat.

• The Korean Journal of Archival Studies
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• no.34
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• pp.165-219
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• 2012

Folklife archival science(folklife: Folklore is generally used in Engish-speaking countries but it has a strong meaning as remnants of former times. That's why I am useing the term-folklife instead of folklore in this paper. I think folklife is more appropriate term for expressing studies on daily life culture and also my intention to unite the both word in this paper) is a new academic movement, I propose, which is intended on convergence of advantage of folklife and archival science. In other words, taking advantage of the two branches of study(folklife, archival science), it becomes a practical studies which systematically organize records, preservations and application on living culture in any community. It demonstrate deeply on archiving and archive and It conducts a probe into records, preservations and applications. It is a method of technical study in order to record communities like village, rural society and modern city. In the mean time, there is no well defined and established methodology for archival science and for folk-area or community archiving. And therefore, It needs a research methodology in a folklife. In the other hand, there is a lack of a theoretical basis, methodological strategy and clear vision over folklife and field survey or method of survey. Therefore, converging advatage of the two studies(folklife, archival science), we can combine professionalism of community archiving and methodological strategy together.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.349-353
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• 2021

This study is a review study attempted to analyze the current situation of surgical robots based on previous research on surgical robots in the era of the 4th revolution, and to forecast the future direction of surgical robots. Surgical robots have made full progress since the launch of the da Vinci and the surgical robot is playing a role of supporting the surgeries of the surgeons or the master-slave method reflecting the intention of the surgeons. Recently, technologies are being developed to combine artificial intelligence and big data with surgical robots, and to commercialize a universal platform rather than a platform dedicated to surgery. Moreover, technologies for automating surgical robots are being developed by generating 3D image data based on diagnostic image data, providing real-time images, and integrating image data into one system. For the development of surgical robots, cooperation with clinicians and engineers, safety management of surgical robot, and institutional support for the use of surgical robots will be required.

• Clinical and Experimental Pediatrics
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• v.46 no.10
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• pp.983-988
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• 2003

Purpose : Syncope appears to be common. However, the mechanism of syncope is not clear. Increased vagal activity and withdrawal of sympathetic stimulation cause hypotension, bradycardia and finally loss of consciousness. The purpose of this study was to evaluate changes of cerebral blood flow velocity, blood pressure, and heart rate during tilt test in children with vasovagal syncope. Methods : Sixty four children with a past history of syncope were evaluated. The stand up test was performed for 15 minutes after a rest at supine position for 10 minutes, followed by an $80^{\circ}$ tilt test lasting 45 minutes. If presyncope(lightheadedness, nausea, blurred vision, or sweating) or syncope occurred, the study was discontinued. 12-lead electrocardiography, echocardiography, and electroencephalography were performed. Transcranial Doppler study was performed at the middle cerebral artery with 2 MHz continuous Doppler probe in 10 children with positive tilt test. Systolic, diastolic, mean cerebral blood flow velocity, integral, and pulsatility index were measured with blood pressure, heart rate, and $O_2$ saturation. Results : The positive rate of tilt test was 31.3%(20/64). Systolic, diastolic, and mean cerebral blood flow velocity decreased significantly in absence of hypotension or bradycardia during presyncope. Time velocity integral of cerebral artery also decreased significantly. Conclusion : Decreased cerebral blood flow velocity can predict the presyncope manifestation. Impairment of autoregulation of cerebral blood flow might play an important role in the pathophysiology of vasovagal syncope.