• Journal of Life Science
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• v.29 no.5
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• pp.621-630
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• 2019

Fertilization is the beginning of a new life that occurs in the female uterine. The female reproductive tract is composed ovary, oviduct, uterine, vagina and cervix, their physiological features are regulated by estrous cycle. Of these, uterine is a main point to establish embryo development and implantation, and intercommunication between embryo and uterine environment is necessary for suitable pregnancy. Endometrium is part of the uterine, its morphology is repetitively changed by hormones, and characteristic of uterine fluid from endometrium is also changed. Recently, massive proteins of endometrium and uterine fluid can be detected according to develop proteomics and bioinformatics and have been accelerated the understanding of the reproductive biology fields. Moreover, the massive protein information is actively studying with deeply studied theory such as sex hormone signal pathway and angiogenesis in mammals. In this paper, we review understanding of endometrium remodeling, uterine gland and fluid during estrous cycle, additionally studies on endometrium and uterine fluid based on proteomics techniques. Lastly, we introduced methods of the protein-protein correlation using bioinformatics tool that interaction with hormone receptors, representative angiogenetic factors and detected proteins using proteomics in endometrium and uterine fluid. This review will be useful to understanding the study on search of new cell mechanism in endometrium and uterine fluid.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.32 no.2
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• pp.68-93
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• 2019

Objective : This study summarized the characteristics of clinical trials for atopic dermatitis medicines approved by the Ministry of Food and Drug Safety(MFDS). This study may be a reference for the design of clinical trials of atopic dermatitis herbal medicine treatment which may be carried out later. Method : The characteristics of the clinical trial were analyzed for clinical trials registered with ClinicalTrials.gov, CRIS, and the Korea Health Industry Development Institute among the clinical trial approval statuses posted on the website of the MFDS. Result : 1. Clinical trial drugs were developed in various formulations such as oral medicines, injections, dermatologic agents, and similar proportions. Relatively little clinical trials were found for herbal medicine. 2. In the control evaluation test, most of the treatments for the control group were performed with placebo using Vehicle. 3. In most clinical trials, one intervention group was in the form of a parallel assignment with only one treatment. 4. The age of the subjects was 11 out of 28 studies including minors, and clinical trials targeting minors were also found to be significant. 5. In the case of atopic dermatitis, the cases of subacute chronic or atopic dermatitis more than 6 months or more than 1 year were often used. 6. Most clinical trials were divided into mild to moderate atopic dermatitis or moderate to severe atopic dermatitis. The SCORAD index, EASI, IGA, BSA, and NRS were used as the evaluation criteria. 7. Regulations for the drugs used prior to the trial period for the treatment of atopic dermatitis vary somewhat from one clinical trial to another. 8. IGA was used most often as a primary efficacy tool, and SCORAD index, EASI, and NRS were also used.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.275-284
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• 2021

The study attempted to systematically and comprehensively analyze individual studies in which proprioceptive neuromuscular facilitation (PNF) was performed with chronic stroke patients. Selection criteria included type of participants (stroke patients), intervention (PNF), comparison (intervention group or non-intervention group), outcomes (effect on dynamic balance), and study design (randomized controlled trial). We searched seven literature databases, and selected 17 papers that met our selection criteria. For meta-analysis, effect size of each individual study was extracted using the R project for Statistical computing version 4.0.3. Rob 2.0 tool, developed by the Cochrane group, was used to evaluate the quality of each individual study. The overall effect size PNF with dynamic balance was 0.59 (95% CI=0.41-1.77), which was significantly different than the median effect size (p<0.05). The sub-group for dynamic balance was analyzed, for effect sizes of BBS (0.50), TUG (0.78), and FRT (0.51). Thus, PNF intervention has a positive impact on improve of dynamic balance by chronic stroke patients.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.577-584
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• 2021

Electrical energy is an essential component in present societies, which is an important basis for our technological society. In the design of new power infrastructure, it is important to consider the psychological aspects of how our culture considers and aspects its development as an integral component of the community environment. The construction of new high voltage overhead transmission lines has become a controversial issue for public policy of government due to social opposition. The members of community are concerned about how these power lines may have an impact on their lives, basically caused by their effects on health and safety. The landscape and visual impact is one of the most impact that can be easily perceived for local community. The computer 3D simulation of new landscape is illustrated by a real life use corresponding to the selection of the power line route with least observability for local community. This paper used ArcGIS(geographic information system tool) for planning, survey, basic route and detailed route, route for implementation of transmission line corridor. Also, the paper showed the map of natural environment, living environment, safety and altitude using database of power line corridor, and transmission siting model was developed by this study. The suggested landscape of computer simulation with lowest visibility on a power line zone can contribute to reducing oppositions of local community and accelerating the construction of new power lines.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.32 no.6
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• pp.553-560
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• 2020

This paper presents an algorithm for identifying and eliminating errors by seagrasses in coastal bathymetry surveying using drone and HD camera. Survey errors due to seagrasses were identified, segmentated and eliminated using a L∗a∗b color space model. Bathymetry survey using a drone and HD camera has many advantages over conventional survey methods such as ship-board acoustic sounder or manual level survey which are time consuming and expensive. However, errors caused by sea bed reflectance due to seagrasses habitat hamper the development of new surveying tool. Seagrasses are the flowering plants which start to grow in November and flourish to maximum density until April in Korea. We developed a new algorithm for identifying seagrasses habitat locations and eliminating errors due to seagrasses to get the accurate depth survey data. We tested our algorithm at Wolpo beach. Bathymetry survey data which were obtained using a drone with HD camera and calibrated to eliminate errors due to seagrasses, were compared with depth survey data obtained using ship-board multi-beam acoustic sounder. The abnormal bathymetry data which are defined as the excess of 1.5 times of a standard deviation of random errors, are composed of 8.6% of the test site of area of 200 m by 300 m. By applying the developed algorithm, 92% of abnnormal bathymetry data were successfully eliminated and 33% of RMS errors were reduced.

• The Korean Journal of Franchise Management
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• v.10 no.3
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• pp.37-52
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• 2019

Purpose - This study examined the relationship between service quality, perceived value, customer satisfaction and behavioral intention of coffee shop using CoffeeSERV scale. In this model, CoffeeSERV scale consists of fundamental characteristics, physical environment, confidence, beverage characteristics, and representation factors. In particular, this study tried to demonstrate the moderating effect of customer's regulatory focus orientation among in the relationships between service quality, perceived value, customer satisfaction and behavioral intention. Research design, data, and methodology - This study intends to expand the existing service quality research by using the coffee shop service quality measurement tool developed by domestic researchers. I wanted to find some implications for the trend. In particular, this study applied the regulatory focus theory to identify individual differences of customers regulatory focusing motivation. In order to verify several hypotheses, the data were 227 college students and analyzed with SPSS/PC 21.0 and SmartPLS 3 program. The moderating role of customer's regulatory focusing motivation was tested using multi-group analysis with SmartPLS 3 program. Results - The resutls are as follows. First, the fundamental characteristic factors only had a significant influence on the utilitarian value perception, but in the hedonic value perception, all other service factors except for the beverage characteristic had a statistically significant effect. Second, utilitarian and hedonic value had significant effects on customer satisfaction. Third, customer satisfaction had a significant effect on behavioral intention. Finally, the regulatory focus orientation played a moderating role in the relationship between beverage characteristic - utilitarian value, representation - utilitarian value, fundamental characteristic - hedonic value, physical environment - hedonic value, confidence - hedonic value, and utilitarian value - behavioral intention. Conclusions - The results of this study show that the various service quality factors that make up the CoffeeSERV scale have different effects on utilitarian and hedonic value. This means that perceived benefits from product and service experience have different impacts on the customer's experience. Therefore, marketers should identify the impacts of service quality dimension that customers who use coffee shops consider important, understand the impact process of these quality factors on experience value, customer satisfaction, and behavioral intention, and allocate limited marketing budget. The results also show that it is possible to establish differentiatied response strategies using customer's regulatory focus orientation to find ways to enhance utlitarian and hedonic value, customer satisfaction, and behavioral intention using various Coffeeshop service quality factors. At the end of this paper, some limitations and future research directions were suggested.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.701-715
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• 2021

The drastic advance of recent deep learning technologies is heavily dependent on training datasets which are essential to train models by themselves with less human efforts. In comparison with the work to design deep learning models, preparing datasets is a long haul; at the moment, in the domain of vision intelligent, datasets are still being made by handwork requiring a lot of time and efforts, where workers need to directly make labels on each image usually with GUI-based labeling tools. In this paper, we overview the current status of vision datasets focusing on what datasets are being shared and how they are prepared with various labeling tools. Particularly, in order to relieve the repetitive and tiring labeling work, we present an interactive smart image annotating system with which the annotation work can be transformed from the direct human-only manual labeling to a correction-after-checking by means of a support of automatic labeling. In an experiment, we show that automatic labeling can greatly improve the productivity of datasets especially reducing time and efforts to specify regions of objects found in images. Finally, we discuss critical issues that we faced in the experiment to our annotation system and describe future work to raise the productivity of image datasets creation for accelerating AI technology.

• Journal of the Korea Society for Simulation
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• v.30 no.1
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• pp.103-112
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• 2021

In recent years, public bicycle systems are widely spread over the world according to the development of ICT technology. Since the public bicycle systems in large cities need to secure both publicity and convenience for citizens, analysis of various their issues from introduction to operation is required. In addition, it is also necessary to prepare for various scenarios for coexistence with the PM business, which is recently in the spotlight as a last mile means and normally managed privately. This paper introduces modeling and simulation for efficient operations of public bicycle systems. In particular, the proposed method was developed in a form that can be easily used in other cities by modeling the general structure and behavior of the public bicycle system, and it was developed to facilitate modification and expansion of the future model with a component-based model configuration. This paper provides a case study of the propose method, which is the public bicycle simulation in Sejong City. The simulation results were derived by applying the data from the public bicycle system of Sejong City, and they were verified with the associated real data of Sejong City. Using the verified model, it is expected that it can be used as a tool to design and analyze various services on the public bicycle systems, which were especially suitable for Sejong City.

• Journal of KIBIM
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• v.10 no.1
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• pp.9-22
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• 2020

Recently, BIM has been extended to infrastructures such as roads and bridges, and the demand for BIM standard development for ports is increasing internationally. Due to the low level of utilization of classification system and drawing standards compared to other infrastructures, and the closed nature of national security facilities, ports have insufficient level of connection and sharing environment among external systems or users. In addition, since the standardization of data for port facilities is not made, it is still necessary to establish an independent DB for each system and to ensure interoperability of data between these systems since it does not have a shared environment among similar data. Therefore, the purpose of this study is to develop and verify IFC, the international standard for BIM, in order to cope with the BIM environment and to be commonly used in the design, construction, and maintenance of port facilities. To this end, we build a standard schema with port-specific Express Notation according to buildingSMART International's standard development methodology. First, domestic and international reference model standards were analyzed to derive components such as space and facilities of port facilities. Based on this, the components of the port facility were derived through the codification, categorization, and normalization process developed by the research team. This was extended based on the port BIM object classification system developed by the research team. Normalization results were verified by designers and associations. Then, IFC schema construction was based on Express-G data modeling based on IFC 4 * 2 Candidate, which is a bridge candidate standard based on IFC4 (ISO16739), and IFC 4 * 3 Draft, which is developed by buildingSMART International. The final schema was validated using the commercialized validation tool. In addition, in order to verify the structural verification of the port IFC schema, the transformation process was verified by converting the caisson model into a Part21 file. In the future, this result will not only be used as a delivery standard for port BIM products, but will also be applied as a linkage standard between systems and a common data format for port BIM platforms when BIM is used in the maintenance phase. In particular, it is expected to be used as a core standard for data exchange in the port maintenance stage.

• Journal of Wetlands Research
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• v.23 no.1
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• pp.44-53
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• 2021

Urban stormwater runoff contains heavy metals that accumulate in on-site treatment systems, thus resulting to facility deterioration and maintenance problems. In order to resolve these problems, low impact development (LID) technologies that promote natural materials circulation are widely used. LID facilities are capable of treating heavy metals in the runoff by means of plant uptake; however, the uptake or phytoremediation capabilities of plants have not been studied extensively, making it difficult to select the most suitable plant species for a certain LID design. This study investigated the vegetative components of an LID facility, roadside plants, and plants in landscape areas with different heavy metal exposure and frequency to determine the uptake capabilities of different plant species. The plants harvested inside the LID facilities and roadsides with high vehicular traffic exhibited greater heavy metal concentrations in their tissues as compared with the plants in landscape areas. Generally, the accumulation of heavy metals in the plant tissues were found to be influenced by the environmental characteristics (i.e. influent water quality, air pollution level, etc.). Dianthus, Metasequoia, Rhododendron lateritium, and Mugwort were found to be effective in removing Zn in the urban stormwater runoff. Additionally, Dianthus, Metasequoia, Mugwort, and Ginkgo Biloba exhibited excellent removal of Cu. Cherry Tree, Metasequoia, and mugwort efficiently removed Pb, whereas Dianthus was also found to be effective in treating As, Cr, and Cd in stormwater. Overall, different plant species showed varying heavy metal uptake capabilities. The results of this study can be used as an effective tool in selecting suitable plant species for removing heavy metals in the runoff from different land use types.