• International journal of advanced smart convergence
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• v.8 no.2
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• pp.18-29
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• 2019

In the field of Human-Computer Interaction design, persuasive design has gradually been applied to the system development and design process, especially for mobile application design. However, most mobile applications have hitherto a very short using lifecycle. Especially, design features with long-term persuasive effectiveness remain to be further researched and developed. In this study, we focused on investigating and identifying the durative persuasive design characteristics through a data mining process and evaluating the durative effectiveness through a long-term observation process. Total five hundred healthcare-related mobile applications were selected from Apple iTunes Store and a mixed method was conducted to extract the most common persuasive design characteristics. Based on the results of extraction, a representative healthcare-related mobile application was selected as experimental subject. Total one hundred and twenty participants were observed during a six-months experiment and the monitoring data of app usage of all participants was collected once a week. According to the evaluation model for behavior change identification process, participants with habit formation features were proved to have a significant long-term perception level for ten persuasive design characteristics. Further interview research was performed to investigate the participant's long-term perceptions on those characteristics for the purpose of identifying the durative persuasions. The results indicated that a long-term durative effectiveness can be observed and healthcare-related apps designed with those characteristics could have durative effectiveness. This study may contribute to the improvement of future mobile application designs in user experience and durative persuasion, as well as bringing future benefits for both mobile application developers and users.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.72-79
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• 2019

Autonomous locomotion has two essential functionalities: mapping builds and updates maps by uncertain position information and measured sensor inputs, and localization is to find the positional information with the inaccurate map and the sensor information. In addition, obstacle detection, avoidance, and path designs are necessarily required for autonomous locomotion by combining the probabilistic methods based on uncertain locations. The sensory inputs, which are measured by a metric-based scanner, have difficulties of distinguishing moving obstacles like humans from static objects like walls in given environments. This paper proposes the low resolution grid map combined with reinforcement learning, which is compared with the conventional recognition method for detecting static and moving objects to generate obstacle avoiding path. Finally, the proposed method is verified with experimental results.

• The korean journal of orthodontics
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• v.49 no.4
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• pp.205-213
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• 2019

Objective: The aim of this study was to evaluate the amount of tooth movement and histologic changes with different corticotomy designs and micro-osteoperforation in rabbits. Methods: The sample consisted of 24 rabbits divided into three experimental groups (triangular corticotomy [TC] and indentation corticotomy [IC] with flap, and flapless micro-osteoperforations [MP]) and a control. A traction force of 100 cN was applied by connecting the first premolars to the incisors. The amount of tooth movement was measured. Kruskal-Wallis test was used to assess differences in tooth movement between the groups. Micro-computed tomography, hematoxylin and eosin staining, and tartrate-resistant acidic phosphatase (TRAP) analysis were performed. Analysis of variance was applied to assess differences in TRAP-positive osteoclast count between the groups. Results: The amount of tooth movement increased by 46.5% and 32.0% in the IC and MP groups, respectively, while the bone fraction analysis showed 69.7% and 8.5% less mineralization compared to the control. There were no significant intergroup differences in the number of TRAP-positive osteoclasts. Conclusions: The micro-osteoperforation group showed no significant differences in the amount of tooth movement compared to the corticotomy groups, nor in the TRAP-positive osteoclast count compared to both corticotomy groups and control.

• Journal of the Korea Computer Graphics Society
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• v.25 no.2
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• pp.1-9
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• 2019

This study compares hand-based interfaces to improve a user's virtual reality (VR) presence by enhancing user immersion in VR interactions. To provide an immersive experience, in which users can more directly control the virtual environment and objects within that environment using their hands and, to simultaneously minimize the device burden on users using immersive VR systems, we designed two experimental interfaces (hand motion recognition sensor- and controller-based interactions). Hand motion recognition sensor-based interaction reflects accurate hand movements, direct gestures, and motion representations in the virtual environment, and it does not require using a device in addition to the VR head mounted display (HMD). Controller-based interaction designs a generalized interface that maps the gesture to the controller's key for easy access to the controller provided with the VR HMD. The comparative experiments in this study confirm the convenience and intuitiveness of VR interactions using the user's hand.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.3
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• pp.26-32
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• 2019

This study was conducted to analyze the stresses by impact loads on front-end loaders attached to tractors using flexible multi-body dynamics. The model was designed and validated by comparing previous experimental data with the simulation data obtained in this study. Nine sets of conditions were designed using three weights (500, 300, and 100 kg) loaded inside a bucket and three heights (1700, 1350, and 1000 mm) of the bucket from ground level. A parametric study was carried out at five locations for two types of parts of a front-end loader. All the safety factors for the five locations under all conditions were calculated and were greater than 1. Thus, the designs of the front-end loaders were structurally safe. Based on this study, front-end loaders attached to tractors can be designed effectively in terms of cost and safety.

• Clinical and Experimental Pediatrics
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• v.63 no.11
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• pp.433-437
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• 2020

Background: Indonesia is one of the countries with the highest preterm birth rate. Preterm infants are more likely than term and normal weight infants to experience neonatal mortality and morbidity due to acute respiratory, gastrointestinal, immunologic, central nervous system, hearing, and vision problems. Kangaroo mother care (KMC) is a proven cost-effective intervention to help reduce mortality rates among preterm infants; however, it has not been fully implemented in hospitals. Purpose: Assess KMC knowledge and perceptions among health providers. Methods: This qualitative study was conducted from December 2015 to April 2016 and consisted of 21 in-depth interviews and 3 focus group discussions (FGDs). The 3 categories of health personnel in the study were clinical providers, hospital management representatives, and Indonesian Midwife Association members. Results: Most health providers know about the benefits of KMC including stabilizing temperatures, weight gain, and maternal-infant bonding and reducing human resources and labor costs. They were also aware of which newborns were eligible for KMC treatment. Their knowledge was mostly gained from observation or obtained from pediatricians and personal experience. They believed that a low birth weight infant in an incubator could not be treated with KMC and that it could only be practiced if a special gown was used when holding the baby. This perception could be caused by a lack of formal KMC training, leading to misunderstanding of its aspects. Conclusion: In conclusion, KMC knowledge of clinical providers in the 2 hospitals was sufficient, primarily due to their health-related educational background. Some perceptions could be potential barriers to or facilitate the implementation of KMC practice. These perceptions should be considered in future KMC training designs.

• Journal of Platform Technology
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• v.9 no.3
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• pp.63-69
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• 2021

Limited materials to make coins for countries and designs suitable for hand-carry make the shape, size, and color of coins similar. This similarity makes that it is difficult for visitors to identify each country's coins. To solve this problem, we propose the coin classification method using CNN effective to image processing. In our coin identification method, we collect the training data by using web crawling and use OpenCV for preprocessing. After preprocessing, we extract features from an image by using three CNN layers and classify coins by using two fully connected network layers. To show that our model designed in this paper is effective for coin classification, we evaluate our model using eight different coin types. From our experimental results, the accuracy for coin classification is about 99.5%.

• Journal of Ocean Engineering and Technology
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• v.35 no.1
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• pp.38-49
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• 2021

Slug flow is the most common multi-phase flow encountered in oil and gas industry. In this study, the hydrodynamic features of flow in pipes investigated numerically using computational fluid dynamic (CFD) simulations for the effect of slug flow on the vertical and bent pipeline. The compressible Reynold averaged Navier-Stokes (RANS) equation was used as the governing equation, with the volume of fluid (VOF) method to capture the outline of the bubble in a pipeline. The simulations were tested for the grid and time step convergence, and validated with the experimental and theoretical results for the main hydrodynamic characteristics of the Taylor bubble, i.e., bubble shape, terminal velocity of bubble, and the liquid film velocity. The slug flow was simulated with various air and water injection velocities in the pipeline. The simulations revealed the effect of slug flow as the pressure occurring in the wall of the pipeline. The peak pressure and pressure oscillations were observed, and those magnitudes and trends were compared with the change in air and water injection velocities. The mechanism of the peak pressures was studied in relation with the change in bubble length, and the maximum peak pressures were investigated for the different positions and velocities of the air and water in the pipeline. The pressure oscillations were investigated in comparison with the bubble length in the pipe and the oscillation was provided with the application of damping. The pressures were compared with the case of a bent pipe, and a 1.5 times higher pressures was observed due to the compression of the bubbles at the corner of the bent. These findings can be used as a basic data for further studies and designs on pipeline systems with multi-phase flow.

• Sleep Medicine and Psychophysiology
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• v.27 no.2
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• pp.51-55
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• 2020

In this paper, we reviewed domestic and foreign cases and evaluation methods for validation of sleep products for development of the domestic sleep industry. Foreign companies and organizations are trying to verify products relatively systematically for demonstration purposes, but they are using different methods depending on the institution, and standardized validation guidelines have not been established. In Korea, there has been little evaluation including objective verification for sleep products. Sleep-wake evaluation for validation of sleep products requires expert evaluation of the product and of the product effectiveness by users, and subjective and objective sleep-wake evaluations and circadian rhythm evaluation methods can be used. For more accurate verification, experimental designs such as randomization method, control product utilization method, and cross-experiment design can be used.

• Physical Therapy Rehabilitation Science
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• v.10 no.1
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• pp.22-31
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• 2021

Objective: This review aims to analyze the effects of electromechanically assisted walking in patients with cerebral palsy(CP). Design: A systematic review and meta-analysis. Methods: We reviewed systematically using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist guidelines. The inclusion criteria for this study were all CP patients. The intervention was electromechanically assisted walking. The outcome measures included gait parameters, function, spasticity. Studies excluded from this review were excluded from the review if they were non-English languages and if the study was not published as a full report, and if they were not randomized controlled trials (RCTs) designs. The RevMan 5.4 program was used to evaluate and explain the results. The risk of bias was evaluated independently by two reviewers. The quantitative meta-analysis, including mean differences (MD) and associated standard deviations (SD) from baseline and follow-up assessments, were recorded. Results: A total of 634 articles were searched. Two hundred eighty-nine duplicate articles were excluded, and 345 of 634 originals were left for selection. Of these 74 papers, 44 were out of topic, and 19 reported no mean or standard deviation values. And one was a non-experimental study. Finally, ten studies were included. All 10 RCTs of electromechanically assisted walking were analyzed. The meta-analysis showed a significant improvement in gait cycle (95% CI (confidence intervals), 0.09 to 0.19, I2=0%), Gross Motor Function Measure (GMFM) D (95% CI, 3.27 to 13.17, I2=0%) and GMFM E (95% CI, 0.22 to 6.41, I2=0%). Conclusions: Electromechanically assisted training helps in walking in patients with CP.