• The KIPS Transactions:PartB
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• v.11B no.3
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• pp.281-288
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• 2004

In order to extract and analyze complex features of the behavior of animals in response to external stimuli such as toxic chemicals, we implemented an adaptive computational method to characterize changes in the behavior of chironomids in response to treatment with the insecticide, diazinon. In this paper, we propose an energy minimization model to extract the features of response behavior of chironomids under toxic treatment, which is applied on the image of velocity vectors. It is based on the improved active contour model and the variations of the energy functional, which are produced by the evolving active contour. The movement tracks of individual chironomid larvae were continuously measured in 0.25 second intervals during the survey period of 4 days before and after the treatment. Velocity on each sample track at 0.25 second intervals was collected in 15-20 minute periods and was subsequently checked to effectively reveal behavioral states of the specimens tested. Active contour was formed around each collection of velocities to gradually evolve to find the optimal boundaries of velocity collections through processes of energy minimization. The active contour which is improved by T. Chan and L. Vese is used in this paper. The energy minimization model effectively revealed characteristic patterns of behavior for the treatment versus no treatment, and identified changes in behavioral states .is the time progressed.

• Journal of The Korean Association For Science Education
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• v.38 no.2
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• pp.273-291
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• 2018

Gestures accompanied by scientific discourses play an important role in constructing mental models and making model-based inferences. According to embodied cognition literature, gestures can be a source of recognition of the mental models of students and help them in changing naive beliefs about science. This study intends to compare the gestures of scientists with that of middle school students in explaining scientific phenomena and to explore the relationship between gestures and scientific discourse. In the study, 10 scientists and 10 middle school students participated in clinical interviews and the tests of knowledge and self-efficacy. Participants engaged in one-on-one clinical interviews with semi-structured questions about three tasks regarding the molecular movement and the state change of matter. Four researchers carried out open coding and applied a constant comparison method in order to analyze video-recorded gestures. This study found four themes (feature of gesture, use of gesture, content of gesture, function of gesture) about the differences of gestures between scientists and middle school students. Scientists used more diverse and elaborate gestures systematically and frequently in the interview. Although students used gestures in their scientific talk and reasoning, the gestures of students were not well grounded on scientific knowledge and had different functions from those of scientists. The findings revealed that gestures can represent underlying cognition and strengthen scientific thinking. We should encourage students to use gestures as a tool to understand scientific concepts and make inferences.

• Journal of Life Science
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• v.27 no.3
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• pp.275-282
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• 2017

Adenovirus (ADV) and human bocavirus (hBoV) cause acute respiratory tract infections, and are often associated with increased rates of hospitalization and death, particularly in infants and young children. The aim of this study was to analyze the clinical features and molecular phylogeny of ADV and hBoV isolated in Busan, from January 2011 to November 2013. In total, 3,230 specimens (throat swabs) were collected from patients with influenza-like illnesses and acute respiratory tract infections. Multiplex real-time RT-PCR was performed to detect eight respiratory viru [rhinovirus, adenovirus, respiratory syncytial virus, human coronavirus, human metapneumovirus, human bocavirus, parainfluenza virus and influenza virus] and detected 1,485(46.0%) cases. Among 1,485 positive specimens, 257(8.0%) cases were ADV and 68(2.1%) cases of hBoV. A significant clinical feature of ADV is fever and headache whereas hBoV is wheezing. Serotypic distributions of isolated ADV and hBoV were analyzed by sequencing of hexon and VP1/VP2 gene, respectively. ADV was identified seven different serotypes(1~6, 8), revealing a high similarity among the isolates (>97%). The predominant types of ADV were type 1 in 2011, type 3 and 4 in 2012, type 3 in 2013, respectively. ADV type 3 was major causative type during outbreaks in 2013. All of the hBoV was identified as hBoV type 1.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.153-163
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• 2011

Smartphone is a mobile device which can perform better than feature phone. Recently, growth in demand for advanced mobile devices boasting powerful performance, market share of smartphone is increasing rapidly in mobile device market, for example, iphone and android phone. Smartphone can provide many functionalities, e-mail, scheduler, word-processing, 3D-game, and etc, based on its powerful performance. Thus, various secret information is integrated in smartphone. To provide service, sometimes, smartphone transmits informations to outside via wireless network. Because smartphone is a mobile device, user can lose his/her smartphone, easily, and losing smartphone can cause serious security threats, because of integrated information in smartphone. Also data which is transmitted in wireless network can be protected for privacy. Thus, in present, it is very important to keep secure smartphone. In this paper, we analyze threats and vulnerabilities of smartphone based on its environments and describe countermeasures against threats and vulnerabilities.

• Science of Emotion and Sensibility
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• v.10 no.1
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• pp.87-98
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• 2007

The aim of this study is to grasp the features of the object which reveals its own specific purposes, and to apply them to the product concept and design forms when designers develop products. For this study, the subjects of the experiment were chosen to fill out a basic questionnaire, and an image analysis of them was performed. After the analysis, the functional design elements of the subjects were extracted and coded. They preyed the correlation between the results of the image analysis and the characteristics of the subjects. The questionnaire was carried out to determine the characteristics of the subjects. As the features of specific products were extracted through this experiment, they can be used as basic data to analyze consumer needs and to better understand the products when we design for them. This can be useful fundamental data enabling designers to understand products easily and to establish concepts for their designs. In the case of the MP3 player in this study, the results of the image analysis of it are turned out to be sound quality, compatibility, portability, employment, interface, and personality. Their respective related features were investigated as well. The important features of designing the MP3 player were presented. Through this fundamental study, it will be possible to understand consumer's needs more effectively, which will bring about the development of the fundamental basis of various fields in design.

• Archives of Craniofacial Surgery
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• v.21 no.5
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• pp.288-293
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• 2020

Background: Pilomatrixoma is a benign tumor that originates from the hair follicle matrix. It usually presents as a hard, slow growing, solitary mass that can be easily misdiagnosed as other skin masses. The aim of this study was to clinically analyze a case series of pilomatrixoma in pediatric patients from Korea. Methods: A total of 165 pediatric patients from 2011 to 2018 with a histological diagnosis of pilomatrixoma were included. A retrospective review was performed using the electronic medical records, including patient demographics, number and location of the mass, clinical and imaging presentation, and postoperative outcomes. Results: There were 61 male and 104 female patients with 152 solitary and 13 multiple pilomatrixomas. Among solitary pilomatrixomas, the lesion commonly occurred in the head and neck (84.2%), followed by upper limbs (11.2%), lower limbs (3.3%), and trunk (1.3%). The pilomatrixoma lesion presented as the following types based on our clinical classification: mass (56.02%), pigmentation (25.31%), mixed (12.65%), ulceration (4.82%), and keloid-like (1.2%). Ultrasonography showed a high positive predictive value (95.56%). There were no specific complications observed except for two cases of recurrence. Conclusion: Pilomatrixoma has various clinical feature presentations and commonly occurs in the head and neck. Ultrasonography is a helpful diagnostic tool. Surgical removal of the lesion is the main treatment method with a low recurrence rate.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.11
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• pp.183-190
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• 2012

Conventional physical activity monitoring systems, which use accelerometers, global positioning system (GPS), heartbeats, or body temperature information, showed limited performances due to their own restrictions on measurement environment and measurable activity types. To overcome these limitations, we developed a portable exercise analysis system that can analyze aerobic exercises as well as isotonic exercises. For bioelectric signal acquisition during exercise, waist belt with two body contact electrodes was used. For exercise analysis, the measured signals were firstly divided into two signal groups with different frequency ranges which can represent respiration related signal and muscular motion related signal, respectively. After then, power values, differential of power values, and median frequency values were selected for feature values. Selected features were used as inputs of support vector machine (SVM) to classify the exercise types. For verification of statistical significance, ANOVA and multiple comparison test were performed. The experimental results showed 100% accuracy for classification of aerobic exercise and isotonic resistance exercise. Also, classification of aerobic exercise, isotonic resistance exercise, and hybrid types of exercise revealed 92.7% of accuracy.

• Journal of the Korean Geographical Society
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• v.43 no.4
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• pp.655-679
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• 2008

This study is to analyze the base of selection and feature of description on Korea-related content in Japanese curriculum(geography and history) and high-school geography textbooks. Japanese curriculum requires that there are two or three neighbor countries to be selected and their contents consist of life and culture and have to compare with those of japan in view of understanding and respect on similarity and difference. The content of physical environment is only dealt as factors influencing on life and culture because regional teaming of neighbor countries focus on it. Dok-do is described with conflict region in most of textbooks. But some textbooks describe Dok-do with territory of Shimane-Hyun in Japan or devide like japanese territory on the map. There are described han-gul(Korean language), confucianism, buddhism and christianity, han-bok(Korean clothes), rice and soup, bulgogi(Korean meat dishes) and scissors, spoon and chopsticks, ondol(Korean floor heater), etc. with the cases of specific Korean life and culture. And, exchange between Korea and Japan focuses on more cultural view increasing recently than political and economical view. Then Japanese high-school geography textbooks humanize geography because of they focus on life and culture and promote not only knowledge and understanding but also altruism and empathy because they focus on similarity and difference through comparison between neighbor country and Japan. This shows how to able to practice regional teaming in globalization and multicultural society.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.8
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• pp.3333-3338
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• 2015

Background: This study was conducted to analyze positron emission tomography (PET) / computed tomography (CT) and magnetic resonance imaging (MRI) performance with oropharyngeal non-Hodgkin's lymphoma (ONHL).Materials and Methods: The complete image data of 30 ONHL cases were analyzed, all patients were performed PET / CT and MRI examination before the treatment, with the time interval of these two inspections not exceeding 14 days. The distribution, morphology, MRI signal characteristics, enhancement feature, standardized uptake value (SUV) max value and lymph node metastasis way of the lesions were analyzed. Results: Among the 30 cases, 23 cases were derived from the B-cell (76.7%), 5 cases were derived from the peripheral T cells (16.7%) and 2 cases were derived from the NK/T cells (6.7%). 19 cases exhibited the palatine tonsil involvement (63.3%). As for the lesion appearance, 10 cases appeared as mass, 8 cases were the diffused type and 12 cases were the mixed type. 25 cases exhibited the SUVmax value of PET / CT primary lesions as 11 or more (83.3%). MRI showed that all patients exhibited various degrees of parapharyngeal side-compressed narrowing, but MRI still exhibited the high-signal fat, and the oropharyngeal mucosa was intact. 25 cases were associated with the neck lymph node metastasis, among who 22 cases had no necrosis in the metastatic lymph nodes, while the rest 3 cases exhibited the central necrosis in the metastatic lymph nodes. Conclusions: PET / CT and MRI have important value in diagnosing and determining the lesion extent of ONHL.

• Progress in Medical Physics
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• v.26 no.1
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• pp.52-58
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• 2015

The automated dental cavity detection program for a new concept intra-oral dental x-ray imaging device, an auxiliary diagnosis system, which is able to assist a dentist to identify dental caries in an early stage and to make an accurate diagnosis, was to be developed. The primary theory of the automatic dental cavity detection program is divided into two algorithms; one is an image segmentation skill to discriminate between a dental cavity and a normal tooth and the other is a computational method to analyze feature of an tooth image and take an advantage of it for detection of dental cavities. In the present study, it is, first, evaluated how accurately the DRLSE (Direct Regularized Level Set Evolution) method extracts demarcation surrounding the dental cavity. In order to evaluate the ability of the developed algorithm to automatically detect dental cavities, 7 tooth phantoms from incisor to molar were fabricated which contained a various form of cavities. Then, dental cavities in the tooth phantom images were analyzed with the developed algorithm. Except for two cavities whose contours were identified partially, the contours of 12 cavities were correctly discriminated by the automated dental caries detection program, which, consequently, proved the practical feasibility of the automatic dental lesion detection algorithm. However, an efficient and enhanced algorithm is required for its application to the actual dental diagnosis since shapes or conditions of the dental caries are different between individuals and complicated. In the future, the automatic dental cavity detection system will be improved adding pattern recognition or machine learning based algorithm which can deal with information of tooth status.