• Korean Journal of Applied Biomechanics
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• v.29 no.2
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• pp.71-77
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• 2019

Objective: The aim of this study was to investigate postural control strategies on smart phone use during gait in over 50-year-old adults. Method: 8 elderly subjects (age: $55.5{\pm}3.29yrs$, height: $159.75{\pm}4.20cm$, weight: $62.87{\pm}8.44kg$) and 10 young subjects (age: $23.8{\pm}3.19yrs$, height: $158.8{\pm}5.97cm$, weight: $53.6{\pm}5.6kg$) participated in the study. They walked at a comfortable pace in a gaitway of ~8 m while: 1) reading text on a smart phone, 2) typing text on a smart phone, or 3) walking without the use of a phone. Gait parameters and kinematic data were evaluated using a three-dimensional movement analysis system. Results: The participants read or wrote text messages they walked with: slower speed; lesser stride length and step width; greater flexion range of motion of the head; more flexion of the thorax in comparison with normal walking. Conclusion: Texting or reading message on a smart phone while walking may pose an additional risk to pedestrians' safety.

• Journal of the Korean earth science society
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• v.35 no.7
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• pp.585-597
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• 2014

This study surveys how teachers can improve their understanding about the concept of declination only through reading the material presented as non-dipole magnetic model. This study also investigates a difference between the content of declination presented in "Earth Science II" textbook under the 2009 revised National Curriculum and that of the past one. Thirty teachers in Gyeonggi province and thirty three in the city of Seoul are surveyed; they are selected from the participants of required training that provides their first grade regular teaching certification. Findings of this study are as follows. First, the study finds that teacher participants possess several misconceptions about the declination. Their typical misconception show that a compass needle directly indicates the magnetic north pole. This type of misconception is not corrected only by a reading the material. Second, the study shows that the degree of teachers' understanding about the concept of declination improves through the reading the material of a non-dipole magnetic model. Third, the study reveals that the material of nod-dipole magnetic model is more effective with teachers than students. Finally, the study suggests that explanations including non-dipole magnetic model be revised in the current textbooks.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.23 no.3
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• pp.18-27
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• 2015

Many studies have shown that having perception of spatial information is important for air traffic control officer (ATCO) since it helps them understand the current situation and predict the situation it leads to. However, little or no research has been done to investigate if there is any difference at the levels of expertise in perceiving spatial information and predicting a prospective situation. This study investigates the difference between expert and novice ATCO groups in how accurately each group of ATCO perceive spatial information such as position, altitude, speed, and flying direction, and predicting such information they will encounter shortly. In completing a task to watch the movement of airplanes displayed on the computer monitor as a blip, the participants were asked to predict the position, speed, and the altitude of the aircraft in a minute by marking on the sector map. The results show that the expert group performed better in accuracy and had tendency to overestimate on position and altitude; however, no significant difference was found between the two groups in terms of reading a flying direction. Therefore reading a flying direction may not be a reliable indicator to judge expertise of ATCO. But the expert group shows better predicting performance by perceiving spatial information such as airplane's position and altitude with feeling on time. The study suggests that it is important to enhance perceptive skills in ATCO training in improving their expertise in predicting accuracy traffic situation, preventing from air collision, and improving productivity for more efficient air traffic flow. A further study on the relationship between the perception of spatial information and the sense of time in predicting future information and effectiveness as an independent factor would contribute to providing more insights into expertise of ATCOs.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.119-141
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• 2023

The COVID-19 pandemic has significantly changed the landscape of knowledge and information services that public libraries around the world have been providing since modern times. In particular, as social distancing has become routine, the contraction of cultural activities and the shift to online platforms have negatively impacted library visitation and use services, greatly reducing borrowing and reading, use of spaces and facilities, interlibrary loan services, program operations, and outreach services. Therefore, this study investigated and analyzed the current status of services provided by public libraries in Korea and abroad in response to COVID-19, and proposed practical ways to improve and expand services in response to COVID-19 based on the results of a survey of librarians' perceptions. Specifically, these include improving the online reservation system for reading and borrowing services and developing and providing various outreach services, acquiring and expanding electronic resources, expanding online program services (reading, culture, lifelong learning, etc.), strengthening library services for vulnerable populations, providing information portal services related to new infectious diseases, strengthening facilities and space provision services, preparing infectious disease response guidelines, and providing education and training to strengthen librarians' capabilities.

• Korean Journal of Human Ecology
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• v.8 no.1
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• pp.59-70
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• 2005

The purpose of this study is to develop a program that allows older women to provide voluntary services for child nursing facilities, making those women have more social participation, effectively their spare time and ultimately improve the quality of their life. Results of the study can be described as follows. First, social requests about the use of older women as volunteers for child nursing services were analyzed to show that most people working at child nursing facilities perceived lack in the number of child nursing teachers. Those people recognized the need of using older women as service volunteers for the facilities. They were very positive about such use. Second, it is recommendable that volunteers of child nursing service should be not too much older women, or below 65. Voluntary activities that those women participate include taking care of younger children, reading interesting stories for children, helping works of child homes, teaching manners and living attitudes, instructing dietary etiquettes and cooking. Voluntary service activities should be made 1 to 3 times a week, 1 to 2 hours a time, considering psychological and physical states of older people. Third, such older volunteers should be educated about 6 areas, 'the operation and management of child homes, 'practices', 'child health and safety', 'the quality of child nursing', 'child development and counseling' and 'voluntary service training'. Out of these six areas, 'child health and safety' and 'voluntary service training' are more required to be instructed. such training needs to focus on activities in which older women can actually engage as volunteers. Fourth, it is advisable that the recruitment and management of such volunteers are led by the city and that the development of training programs for voluntary service activities and education of the volunteers are referred to universities.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.1-25
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• 2020

In this paper, we suggest an application system architecture which provides accurate, fast and efficient automatic gasometer reading function. The system captures gasometer image using mobile device camera, transmits the image to a cloud server on top of private LTE network, and analyzes the image to extract character information of device ID and gas usage amount by selective optical character recognition based on deep learning technology. In general, there are many types of character in an image and optical character recognition technology extracts all character information in an image. But some applications need to ignore non-of-interest types of character and only have to focus on some specific types of characters. For an example of the application, automatic gasometer reading system only need to extract device ID and gas usage amount character information from gasometer images to send bill to users. Non-of-interest character strings, such as device type, manufacturer, manufacturing date, specification and etc., are not valuable information to the application. Thus, the application have to analyze point of interest region and specific types of characters to extract valuable information only. We adopted CNN (Convolutional Neural Network) based object detection and CRNN (Convolutional Recurrent Neural Network) technology for selective optical character recognition which only analyze point of interest region for selective character information extraction. We build up 3 neural networks for the application system. The first is a convolutional neural network which detects point of interest region of gas usage amount and device ID information character strings, the second is another convolutional neural network which transforms spatial information of point of interest region to spatial sequential feature vectors, and the third is bi-directional long short term memory network which converts spatial sequential information to character strings using time-series analysis mapping from feature vectors to character strings. In this research, point of interest character strings are device ID and gas usage amount. Device ID consists of 12 arabic character strings and gas usage amount consists of 4 ~ 5 arabic character strings. All system components are implemented in Amazon Web Service Cloud with Intel Zeon E5-2686 v4 CPU and NVidia TESLA V100 GPU. The system architecture adopts master-lave processing structure for efficient and fast parallel processing coping with about 700,000 requests per day. Mobile device captures gasometer image and transmits to master process in AWS cloud. Master process runs on Intel Zeon CPU and pushes reading request from mobile device to an input queue with FIFO (First In First Out) structure. Slave process consists of 3 types of deep neural networks which conduct character recognition process and runs on NVidia GPU module. Slave process is always polling the input queue to get recognition request. If there are some requests from master process in the input queue, slave process converts the image in the input queue to device ID character string, gas usage amount character string and position information of the strings, returns the information to output queue, and switch to idle mode to poll the input queue. Master process gets final information form the output queue and delivers the information to the mobile device. We used total 27,120 gasometer images for training, validation and testing of 3 types of deep neural network. 22,985 images were used for training and validation, 4,135 images were used for testing. We randomly splitted 22,985 images with 8:2 ratio for training and validation respectively for each training epoch. 4,135 test image were categorized into 5 types (Normal, noise, reflex, scale and slant). Normal data is clean image data, noise means image with noise signal, relfex means image with light reflection in gasometer region, scale means images with small object size due to long-distance capturing and slant means images which is not horizontally flat. Final character string recognition accuracies for device ID and gas usage amount of normal data are 0.960 and 0.864 respectively.

• The Journal of Asian Finance, Economics and Business
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• v.3 no.3
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• pp.67-77
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• 2016

Shareholders solely depend on annual reports to make investment, credit and other decisions. Investors expect that information should be reliable, relevant, comparable, consistent and thus easy to use for decision making. But whether the importance of annual reports to all shareholders is equally significant is a question of research. Thus, this research study tries to find out the importance of reading annual reports to the investors. A questionnaire survey is conducted on investors considering thirty one general shareholders and six brokers. This research based survey finds that most of the shareholders have no knowledge about accounting or finance and they have little knowledge about capital markets due to lack of training. This study also finds that general shareholders read an annual report at least moderately except value added statement, chairman's review, director's report and rumor. This study recommends human resource should be developed through adequate training, and annual reports should provide transparent and quality information which will ultimately increase the confidence of investors.

• The Journal of Korea Robotics Society
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• v.10 no.2
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• pp.61-69
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• 2015

In this paper, we propose and examine the feasibility of the robot-assisted behavioral intervention system so as to strengthen positive response of the children with autism spectrum disorder (ASD) for learning social skills. Based on well-known behavioral treatment protocols, the robot offers therapeutic training elements of eye contact and emotion reading respectively in child-robot interaction, and it subsequently accomplishes pre-allocated meaningful acts by estimating the level of children's reactivity from reliable recognition modules, as a coping strategy. Furthermore, for the purpose of labor saving and attracting children's interest, we implemented the robotic stimulation configuration with semi-autonomous actions capable of inducing intimacy and tension to children in instructional trials. From these configurations, by evaluating the ability of recognizing human activity as well as by showing improved reactivity for social training, we verified that the proposed system has some positive effects on social development, targeted for preschoolers who have a high functioning level.

• Psychiatry investigation
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• v.15 no.12
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• pp.1144-1153
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• 2018

Objective One of the areas of social cognition is Theory of Mind (ToM) is defined as the capacity to interpret, infer and explain mental states underlying the behavior of others. When social cognition studies on neurodevelopmental disorders are examined, it can be seen that this skill has not been studied sufficiently in children with Specific Learning Disorder (SLD). Methods In this study, social cognition skills in children diagnosed with attention deficit hyperactivity disorder (ADHD), SLD or Autism Spectrum Disorder (ASD) evaluated before puberty and compared with controls. To evaluate the ToM skills, the first and second-order false belief tasks, the Hinting Task, the Faux Pas Test and the Reading the Mind in the Eyes Task were used. Results We found that children with neurodevelopmental disorders as ADHD, ASD, and SLD had ToM deficits independent of intelligence and language development. There was a significant correlation between social cognition deficits and problems experienced in many areas such as social communication and interaction, attention, behavior, and learning. Conclusion Social cognition is an important area of impairment in SLD and there is a strong relationship between clinical symptoms and impaired functionality.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.76-82
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• 2021

An anthological analysis of known literature and historical sources is carried out in the work. It was found that the development of foreign language training of future professionals was influenced by a number of factors: socio-economic (focus on the needs of the labor market, integration into the international space, scientific and technological progress); educational (updating legal documents in the field of education, standardization of educational content, development of methods of professional development of a specialist). The historical period is analyzed and the following stages are determined: ideological (realization of ideological imperative in language and professional training of future specialists; educational-methodical (preparation according to unified curricula, reading and translation as a leading type of speech activity); integration (integration of foreign language teaching and multicultural education)), methodological (use of traditional verbal methods, standardized textbooks). Thus, the research conducted in the article indicates the periods (stages) of formation, functioning and development of foreign language education.