• Journal of Genetic Medicine
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• v.16 no.2
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• pp.49-54
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• 2019

Purpose: Potocki-Lupski syndrome (PTLS), is a recently identified, rare genomic disorder. The patients are affected by infantile hypotonia, poor growth and developmental delay. Facial dysmorphism may not be obvious in some patients. PTLS is associated with microduplication at chromosome 17p11.2. In the current study, three Korean patients are reported with their clinical and genetic features. Materials and Methods: The clinical findings of each patient were reviewed. Karyotyping and multiplex ligation-dependent probe amplification (MLPA) analyses were done for genetic diagnoses. Results: All the patients did not have the characteristic dysmorphic features, such as broad forehead, triangular face, asymmetric smile and palpebral fissures. On the other hand, all three patients were affected by variable degree of developmental delay, poor oral intake, failure to thrive, and language development disorders. Chromosome 17p11.2 duplication was identified by conventional karyotyping analysis only in one patient, whereas the other confirmed by MLPA analyses. Conclusion: Delayed development was mostly commonly observed in our patients without distinct dysmorphic facial features. In this respect, genomic screening in patients with developmental delay would identify more cases with PTLS to understand their long-term clinical courses with the development of adequate psychological and rehabilitation education program.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.4
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• pp.885-894
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• 2016

As smartphones become more common, anybody can take pictures and record videos easily nowadays. Video files taken from smartphones can be used as important clues and evidence. While you analyze video files taken from smartphones, there are some occasions where you need to prove that a video file was recorded by a specific smartphone. To do this, you can utilize various fingerprint techniques mentioned in existing research. But you might face the situation where you have to strengthen the result of fingerprinting or fingerprint technique can't be used. Therefore forensic investigation of the smartphone must be done before fingerprinting and the database of metadata of video files should be established. The artifacts in a smartphone after video recording and the database mentioned above are discussed in this paper.

• Korean Journal of Biological Psychiatry
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• v.15 no.3
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• pp.211-218
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• 2008

Objectives : The purpose of this study is to compare the ability of facial affect perception among schizophrenia patients, their first degree relatives, and normal control subjects. Methods : Thirty five patients with schizophrenia, 22 first degree relatives, and 34 normal control subjects were recruited in this study. All three groups were matched for age and education levels. The facial affect identification test(FAIT), and neurocognitive test were applied. In the FAIT, the correct response rate, perceived intensity, and sensitivity for 6 kinds of affects were compared among three groups. Results : We found that correct response rate of sadness and anger were decreased in the schizophrenia patients compared with the normal control group. Also the schizophrenia patients showed reduced sensitivity for all six affects compared with the normal control group. The ability of facial affect perception in first degree relatives of schizophrenia patients was decreased but there were not any significant differences compared with normal control group. Conclusion : This study confirmed significantly reduced ability of facial affect perception in schizophrenia patients compared with normal control. Decreased ability of facial affect perception in first degree relatives suggests that affective sensitivity can be influenced by genetic predisposition.

• Journal of the Korean Society of Industry Convergence
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• v.14 no.2
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• pp.45-52
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• 2011

Since the most exclusive machines of the modern industries which require the nano precision rates are evolved from the machine tools, the design of the stable machine tool structure is very critical. Exclusive machines for the modern industries such as semiconductor, solar cell and LED have surface machining processes which are similar to the face cutting and grinding of conventional machine tools. This study was initiated to stabilize a milling machine structure and further to help design those exclusive machines which have similar machining mechanisms. The vibrations inherent to the machine tool structures hurt the precision machining as well as damage the longevity of the structures. There have been numerous researches in order to suppress the vibrations of machine tool structures using the extra modules such as actuators and dampers. In this paper, the dynamic properties are analyzed to obtain the natural frequencies and mode shapes of a machine tool structure which reflect the main reasons of the biggest vibrations under the given operating conditions. And the feasibility of improving the stability of the structure without using any additional apparatus has been investigated with minor design changes. The result of the study shows that simple changes based on proper system identification can considerably improve the stability of the machine tool structure.

• Journal of Korean Tunnelling and Underground Space Association
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• v.7 no.3
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• pp.197-207
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• 2005

Design analysis for underground spaces requires evaluating stability related to heading collapses. A failure mode is one of the critical factors in the conventional methods of stability evaluation. Identification of failure modes is, therefore, essential in securing safe construction. In this study failure modes at the tunnel heading in cohesionless soils are investigated using physical model tests for various tunnel depths and ground surface inclinations. Test results showed that the effect of depth and the inclination of ground surface on a failure mode are of significance. It is identified that, with an increase in depth, failure modes become localized in a region close to tunnel face. It is also known that an increase in the inclination of ground surface results in inclined an d wide failure modes. Numerical simulation of laboratory tests was performed, and shown that the numerical analysis is useful in identifying the heading failure modes, particularly for large underground spaces.

• Proceedings of the SCSK Conference
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• 2003.09a
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• pp.448-456
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• 2003

The prime objective of many facial wrinkle-reduction treatments is to achieve visible improvement. Thus the visibility of before/after treatment differences is often part of an efficacy assessment. This paper investigates whether the background knowledge of the people acting as observers in such assessments is of impact on the results: e.g. the subjects themselves are familiar with their faces, skin professionals have much experience in judging skin quality, and thus both might be more sensitive to small changes. In a clinical study 44 Female subjects were regularly treated during a period of 12 weeks with one of three wrinkle-reduction methods: K, Land M (placebo). Photographs were taken before treatment and at 6 and 12 weeks. The photographs were judged by 3 types of observers:ㆍ24 Lay observers were given the 0＆6-week and the 0＆12-week photo pairs of all subjects to indicate the one with the least wrinkles in a two-alternative forced-choice (TAFC) procedure.ㆍThe subjects themselves were given the 0＆6-weel and the 0＆12-week pair of their own photos (8 replications) to indicate the photo with the least wrinkles (TAFC).ㆍA trained panel of skin professionals (N=3) each gave 9-point Fitzpatrick wrinkle-severity scores for all individual 0-week and 12-week photos. We found that the lay observers perceived the same differences as the subjects themselves: significant improvements after 12 weeks for treatment K (p<0.0005 and p=0.005, respectively), no visible effects for treatments Land M, and, most importantly, a significant difference between treatments K and M/placebo (p=0.02 and p=0.04, respectively). Also the trained panel found this difference between K and M (p=0.013), but here it was due to a significant deterioration over time of the 'placebo-treated' wrinkles (M, p=0.03). Thus in conclusion we have found no indications that extra knowledge - in the form of familiarity with the own face or in the form of professional training - results in the identification of more treatments that show significantly visible wrinkle-reduction.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.7
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• pp.167-174
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• 2013

Various smart phone applications have been widely developed and an intelligent service to take a picture for the visually handicapped is needed. By using an auditory service and/or other's help, the blind capture an image with their cameras for keeping a record or exchanging the information with another people. However, they are difficult to take the wanted picture because they are unable to grasp the visual contents in the viewfinder. This paper presents a novel guiding system for the blind people to take a picture with the smart phone. The proposed method identifies a person in the picture and determines the presence of eye blinks and blurring. The system provides a guiding information such as camera directions, which are transferred into the blind user with auditory service.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.27-43
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• 2015

Ever more so than any other times, today's corporations today face an ultimate issue of acquiring highest work expertise for their employees. However, most of current academic researches try to focus on what factors comprise an expertise while they fail to tackle the very issue of detailed numerical measurement of the expertise factors recommended improvement paths, and goals for each measured expertise level. Hence, this study suggests more objective and highly reliable identification of work competence measurement factors and the correlation among the identified factors. For details, it tries to propose a methodology of expertise measurement by developing into the definition of experts and expertise, reestablishment of expertise factors, determination of reference points of the expertise factors, and weighting of the factors. This measurement methodology finds that it itself has significant correlation with existing work competency level measurement and test tools. Therefore it is identified to justify its effectiveness. Finally, this study proposes an action point of establishing a national expertise architecture and its frameworks for various societies in general.

• Journal of KIISE:Software and Applications
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• v.32 no.6
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• pp.570-579
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• 2005

Facial expression recognition technology that has potentialities for applying various fields is appling on the man-machine interface development, human identification test, and restoration of facial expression by virtual model etc. Using sequential facial images, this study proposes a simpler method for detecting human facial expressions such as happiness, anger, surprise, and sadness. Moreover the proposed method can detect the facial expressions in the conditions of the sequential facial images which is not rigid motion. We identify the determinant face and elements of facial expressions and then estimates the feature regions of the elements by using information about color, size, and position. In the next step, the direction patterns of feature regions of each element are determined by using optical flows estimated gradient methods. Using the direction model proposed by this study, we match each direction patterns. The method identifies a facial expression based on the least minimum score of combination values between direction model and pattern matching for presenting each facial expression. In the experiments, this study verifies the validity of the Proposed methods.

• Journal of the Korea Society of Computer and Information
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• v.15 no.3
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• pp.27-35
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• 2010

Accurately extracting skin color regions is very important in various areas such as face recognition and tracking, facial expression recognition, adult image identification, health-care, and so forth. In this paper, we evaluate the performances of several skin color detection algorithms in indoor environments by changing the distance between the camera and the object as well as the background colors of the object. The distance is from 60cm to 120cm and the background colors are white, black, orange, pink, and yellow, respectively. The algorithms that we use for the performance evaluation are Peer algorithm, NNYUV, NNHSV, LutYUV, and Kimset algorithm. The experimental results show that NNHSV, NNYUV and LutYUV algorithm are stable, but the other algorithms are somewhat sensitive to the changes of backgrounds. As a result, we expect that the comparative experimental results of this paper will be used very effectively when developing a new skin color extraction algorithm which are very robust to dynamic real environments.