• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.1-11
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• 2021

In this paper, we explain the purpose of building a mobile app called "ARnetView" that can use the AR(augmented Reality)based calling function and AR based content creation function, and as well as an AR based data center that can share AR based video streaming and AR based contents on smartphones and tablet devices. For the AR(Augmented Reality) based data center implement, we have developed a mobile application and implemented a service system including an AR(augmented Reality) based calling function and AR based content production and AR based video streaming functions for real-time communication to connect a field technician and an expert so that the expert can see and discuss the situation in the field and technician and experts, they can draw digital annotation on mobile screen that accurately stick to 3D physical objects, allowing the expert to guide the technician step by step. In result, it provides a remote technical collaboration environment between field technician and expert. In addition, AR(Augmented Reality) collaboration service Platform was designed and implemented to increase work speed, efficiency, and utilization of advanced technicians, improve continuous productivity of equipment and facilities, maximize equipment and facility utilization, and strengthen industrial competitiveness. Therefore, through this, the AR collaboration service Platform can be applied to the industrial field, the medical field, and the entertainment/education field.

• Journal of Korean Public Health Nursing
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• v.32 no.3
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• pp.363-375
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• 2018

Purpose: The aim of this study was to identify the influence of children's and caregivers' perceptions of local neighborhood environments on children's physical activities (PAs) and screen-based activities (SBAs) among low-income families. Methods: Secondary data analysis was performed using the data of 171 low-income children attending community child care centers and of their caregivers. Descriptive analysis, factor analysis and logistic regression analysis were employed to analyze data. Results: PAs were insufficient and SBAs were excessive in the majority of children. Children and primary caregivers had moderately negative perceptions of their local neighborhood environments. However these perceptions were not found to affect children's PAs or SBAs significantly. Conclusion: Although perceptions of local neighborhoods were not found to significantly influence children's PAs or SBAs, efforts are needed to make community child care centers and neighborhoods safer and more activity-friendly.

• Geophysics and Geophysical Exploration
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• v.22 no.2
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• pp.72-79
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• 2019

Underwater object detection method adopting electrical resistivity technique was proposed recently, and the need of advanced data processing algorithm development counteracting various marine environmental conditions was required. In this paper, we present an improved water tank experiment system and its operation results, which can provide efficient test and verification. The main features of the system are as follows: 1) All the processes enabling real time process for not only simultaneous gathering of object images but also the electrical field measurement and visualization are carried out at 5 Hz refresh rates. 2) Data acquisition and processing for two detection lines are performed in real time to distinguish the moving direction of a target object. 3) Playback and retest functions for the saved data are equipped. 4) Through the monitoring screen, the movement of the target object and the measurement status of two detection lines can be intuitively identified. We confirmed that the enhanced physical modeling system works properly and facilitates efficient experiments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.125-130
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• 2021

Implementation of livestock smart-farm can be done more effectively with IoT technology developing. An build of useful stock management system can be possibile if push messages of these judgement are notified on smart-phone after cattle's illness and estrus are judged using IoT technology. These judgement method of cattle's illness and estrus can be done with gathering living stock data using temperature sensor and 3 axis acceleration sensor and sending these data using IoT and internet network into server, and studying AI machine learning using these data. In this paper, to build this cattle management system based on IoT, effective system of the whole architecture is showed. Also an effective analysis and design method to develop this system software will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.81-88
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• 2020

This purpose of this study is to develop content that enables repetitive carving practice of the maxillary right central incisor (MRCI) based on augmented reality (AR). For a step-by-step practice of achieving the tooth shape, after creation of the storyboard from the square box shape in step 1 to the completed MRCI block in step 16, three-dimensional (3D) modeling data reflecting the characteristics of the mesial, distal, lingual, and labial surface of the MRCI were generated. An application was built in which 3D modeling data were output on the screen of the learner's mobile device, and image markers suitable for 3D modeling in steps 1 to 16 of the MRCI model were respectively generated. Using this information, the learner could carve a high-quality MRCI by repeatedly performing the tooth shape carving exercises. With AR, we intend to contribute to improved tooth morphology carving skills by linking the theory and practical techniques for a beginners in dentistry.

• Smart Structures and Systems
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• v.9 no.3
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• pp.273-286
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• 2012

As civil structures are exposed to various external loads, it is essential to assess the structural condition, especially the structural displacement, in every moment. Therefore, a visually servoed paired structured light system was proposed in the previous study. The proposed system is composed of two screens facing with each other, each with a camera, a screen, and one or two lasers controlled by a 2-DOF manipulator. The 6-DOF displacement can be calculated from the positions of three projected laser beams and the rotation angles of the manipulators. In the estimation process, one of well-known iterative methods such as Newton-Raphson or extended Kalman filter (EKF) was used for each measurement. Although the proposed system with the aforementioned algorithms estimates the displacement with high accuracy, it takes relatively long computation time. Therefore, an incremental displacement estimation (IDE) algorithm which updates the previously estimated displacement based on the difference between the previous and the current observed data is newly proposed. To validate the performance of the proposed algorithm, simulations and experiments are performed. The results show that the proposed algorithm significantly reduces the computation time with the same level of accuracy compared to the EKF with multiple iterations.

• Women's Health Nursing
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• v.14 no.4
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• pp.314-322
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• 2008

Purpose: Dysmenorrhea is one of the most common gynecologic complaints of young women. This study investigated the changes in the menstrual cycle during test evaluations according to perfectionism and testing anxiety among high school girls in order to provide information for care of dysmenorrhea. Method: Data collection was done from July 14 to 18, 2008 by self administered questionnaires with 300 high school girls. Result: The subjects experienced amenorrhea(35.3%), changes in the menstrual cycle(66.3%), changes in menstrual duration(50.0%), changes in amount of menstruation(47.7%), and increases in menstrual pain during testing evaluations. There were significant differences in changes of menstrual patterns, physical symptoms, and menstrual pain during test evaluations between a high perfectionist group and low perfectionist group. Also, there were significant differences in changes of menstrual patterns, physical symptoms, and menstrual pain during test evaluations between a high testing anxiety group and low testing anxiety group. Perfectionism and testing anxiety showed a positive relationship with changes in menstrual patterns, physical symptoms, and menstrual pain. Conclusion: As perfectionism and testing anxiety seem to contribute to changes in the menstrual cycle during test evaluations, school health-care providers should screen routinely for dysmenorrhea and give more attention to health education on this topic to girls.

• Journal of Biosystems Engineering
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• v.33 no.3
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• pp.196-203
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• 2008

Hybrid robust image processing algorithm to extract visual features of melon during the cultivation was developed based on a wireless tele-operative interface. Features of a melon such as size and shape including position were crucial to successful task automation and future development of cultivation data base. An algorithm was developed based on the concept of hybrid decision-making which shares a task between the computer and the operator utilizing man-computer interactive interface. A hybrid decision-making system was composed of three modules such as wireless image transmission, task specification and identification, and man-computer interface modules. Computing burden and the instability of the image processing results caused by the variation of illumination and the complexity of the environment caused by the irregular stem and shapes of leaves and shades were overcome using the proposed algorithm. With utilizing operator's teaching via LCD touch screen of the display monitor, the complexity and instability of the melon identification process has been avoided. Hough transform was modified for the image obtained from the locally specified window to extract the geometric shape and position of the melon. It took less than 200 milliseconds processing time.

• KIISE Transactions on Computing Practices
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• v.23 no.3
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• pp.148-155
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• 2017

In this paper, we develop a new system to estimate the step count for a smartphone user. The system analyzes data obtained from the accelerometer, magnetic sensor, and gyroscope of an android smartphone to extract pattern information of human steps. We conduct an experiment and evaluation to confirm that the proposed system successfully estimates the number of steps with 96% accuracy when hand-held and 95.5% accuracy when in-pocket. In addition, we found that detection errors were caused by human motions such as touching the screen, shaking the device up and down, sitting up and sitting down, and waving the phone around.

• Journal of Nutrition and Health
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• v.29 no.7
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• pp.778-787
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• 1996

The purpose of present study was to assess the change of bone mineral density(BMD) and the influences of anthroopometric indices and body composition on BMD in Korean women in Taegu. Subjects were 242 healthy female in the range of 7-67 years old, were divided into 4 age groups in order to assess the influence o factors on BMD according to age. Body composition and BMD measurements of lumbar spine, femur(neck, ward's triangle, trochanter) and total body were performed by dual energy X-ray absorptiometry. The analysis indicated that BMD of most region was positively related to body weight, BMI in all groups 4(50-67years), and closely related to femurs than lumbar spine. This study found correlations between BMD and both total fat body mass and total lean body mass in group 1, 2, 3, and correlations between BMD and only total fat body mass and in group 4. But on regression models the most significant prediction of BMD throughout the skeleton was total lean body mass in group 1(7-16years)and 2(17-34years, and total fat body mass in group 3 and 4. It is concluded that the our data can be used to screen early women of low bone mass. This study confirms that one of the most effective way to prevent osteoporosis and the fractures is to maximize peak bone mass in early life and to minimize bone loss through maintaining adequate weight.