• Journal of Biomedical Engineering Research
• /
• v.40 no.4
• /
• pp.125-131
• /
• 2019

As a non-invasive method for alleviating allergic rhinitis, there has been a recent ongoing research in the treatment of light from light emitting diodes (LEDs) and lasers. A total of 15 subjects diagnosed with allergic rhinitis were selected for this study. Red and near infrared light emitted from LEDs with wavelengths of 660nm and 940nm were illuminated three times daily (three minutes per cycle) for a total of two weeks. The degree of nasal congestion, runny nose, sneezing and nasal itching was evaluated by questionnaires before and after the test. Also, the serum IgE (Immunoglobulin E) was measured and compared before and after the test. As a result, the total score of symptoms of allergic rhinitis was decreased by 67% after the test (P<0.01). The level of IgE was decreased by 17% after the test (P<0.05). In conclusion, the non-invasive LED phototherapy method using red and near-infrared LED light was effective in alleviating symptoms of allergic rhinitis. There were no adverse effects or complications reported during and after the test.

• Journal of Korean Society on Water Environment
• /
• v.36 no.6
• /
• pp.592-610
• /
• 2020

In South Korea, the concept of water environment was expanded to include aquatic ecosystems with the Integrated Water Management implementation. Watershed-scale modeling is typically performed for hydrologic component analysis, however, there is a need to expand to include ecosystem variability such that the modeling corresponds to the social and political issues around the water environment. For this to be viable, the modeling must account for several distinct features in South Korean watersheds. The modeling must provide reasonable estimations for peak flow rate and apply to paddy areas as they represent 11% of land use area and greatly influence groundwater levels during irrigation. These facts indicate that the modeling time intervals should be sub-daily and the hydrologic model must have sufficient power to process surface flow, subsurface flow, and baseflow. Thus, the features required for watershed-scale modeling are suggested in this study by way of review of frequently used hydrologic models including: Agricultural Policy/Environmental eXtender(APEX), Catchment hydrologic cycle analysis tool(CAT), Hydrological Simulation Program-FORTRAN(HSPF), Spatio-Temporal River-basin Ecohydrology Analysis Model(STREAM), and Soil and Water Assessment Tool(SWAT).

• Journal of Korean Biological Nursing Science
• /
• v.24 no.2
• /
• pp.86-94
• /
• 2022

Purpose: Patients experiencing chemotherapy-induced peripheral neuropathy (CIPN) apply various palliative care as well as drugs in their daily life to alleviate symptoms. There is a need to identify the influence of these efforts and patients' psychosocial status on the relief of CIPN symptoms. This short-term prospective study investigated how prescription drugs, non-pharmacological behaviors (exercise, massage, and heat therapy), and psychological states (social support, depression, and anxiety) affected CIPN symptoms. Methods: Participants scheduled to receive postoperative platinum or taxane-based chemotherapy were enrolled consecutively. CIPN was measured with the Neurotoxicity-12 subscale of the Functional Assessment of Cancer Therapy/Gynecologic Oncology Group-Neurotoxicity-12 instrument. Data were collected three times during the 4 or 5 cycles of chemotherapy. Results: At the end of the 2nd chemotherapy cycle, 93.1% of participants reported CIPN symptoms. Multiple regression analyses showed that a heat therapy (β= -.34, p< .001), massage (β= -.21, p= .012), and walking 5 times or more per week (β= -.26, p= .021) provided relieve for CIPN symptoms. Depression (β= .19, p= .027) significantly exacerbated CIPN symptoms. Conclusion: These results suggested that a comprehensive management program that includes walking, heat therapy, massage, and mood therapy should be encouraged. Moreover, patients should be educated at chemotherapy initiation to understand appropriate interventions that can relieve CIPN symptoms.

• International Journal of Computer Science & Network Security
• /
• v.21 no.7
• /
• pp.191-204
• /
• 2021

The software development life cycle (SDLC) is a procedure used to develop a software system that meets both the customer's needs and real-world requirements. The first phase of the SDLC involves creating a conceptual model that represents the involved domain in reality. In requirements engineering, building such a model is considered a bridge to the design and construction phases. However, this type of model can also serve as a basic model for identifying business processes and how these processes are interconnected to achieve the final result. This paper focuses on process modeling in organizations, per se, beyond its application in the SDLC when an organization needs further documentation to meet its growth needs and address regular changes over time. The resultant process documentation is created alongside the daily operations of the business process. The model provides visualization and documentation of processes to assist in defining work patterns, avoiding redundancy, or even designing new processes. In this paper, a proposed diagrammatic representation models each process using one diagram comprising five actions and two types of relations to build three levels of depiction. These levels consist of a static description, events, and the behavior of the modeled process. The viability of a thinging machine is demonstrated by re-modeling some examples from the literature.

• Journal of Korean Academy of Nursing
• /
• v.52 no.6
• /
• pp.598-607
• /
• 2022

Purpose: This qualitative study aimed to explore the lived and true meaning of experiences of middle-aged patients with complex regional pain syndrome. Methods: The participants were 10 men and women aged 40 to 60 years who received outpatient treatment at a university hospital, could communicate, and agreed to participate in the study. Data were collected through individual interviews using open and semi-structured questions from September 2019 to July 2021 and were analyzed using the content analysis method suggested by Hsieh and Shannon (2005). Results: As a result of this study, 42 summarized semantic units related to life experience, 15 subthemes, and seven themes were derived. The seven themes were "pressed by severe pain," "frustrated because I cannot be part of the community," "distressed because people do not recognize my disease," "sad about conflicts with family," "unmotivated because of desperate life," "appreciating for support," and "putting oneself together and living daily life." Conclusion: The vivid experiences of the participants derived in this study are the basic data for developing treatment guidelines. In the future, we propose a study on life and family care experiences according to the developmental characteristics of the life cycle of patients with complex regional pain syndrome and develop and apply programs to support patients and their families.

• Nuclear Engineering and Technology
• /
• v.54 no.11
• /
• pp.3996-4004
• /
• 2022

The data collected by the In-Situ Decommissioning (ISD) sensors are time-specific, age-specific, and developmental stage-specific. Research has been done on the stream data collected by ISD testbed in the recent few years to seek both frequent episodes and abnormal frequent episodes. Frequent episodes in the data stream have confirmed the daily cycle of the sensor responses and established sequences of different types of sensors, which was verified by the experimental setup of the ISD Sensor Network Test Bed. However, the discovery of abnormal frequent episodes remained a challenge because these abnormal frequent episodes are very small signals and may be buried in the background noise of voltage and current changes. In this work, we proposed Advanced Data Analytics (ADA) methods that are applied to the baseline data to identify frequent episodes and extended our approach by adding more features extracted from the baseline data to discover abnormal frequent episodes, which may lead to the early indicators of ISD system failures. In the study, we have evaluated our approach using the baseline data, and the performance evaluation results show that our approach is able to discover frequent episodes as well as abnormal frequent episodes conveniently.

• ALGAE
• /
• v.37 no.4
• /
• pp.265-279
• /
• 2022

The primary production (PP) by phytoplankton in marine ecosystems is essential for carbon cycling and fueling food webs. Hence, estimating the PP in the territorial sea of each country is a necessary step to achieving carbon neutrality. To estimate the PP in the territorial sea of the Republic of Korea from 2005 to 2021, we analyzed various physiochemical parameters, such as sea surface temperature (SST), Secchi depth, and concentrations of chlorophyll-a and nutrients in the seas of five regions, including the East Sea, West Sea, western South Sea, eastern South Sea, and the waters off Jeju Island. During the 17-year study period, the SST tended to increase, while the nutrient concentrations declined, except in the Jeju area. Overall, the PP did not show a specific temporal trend, but daily PP in the western South Sea was the highest among the five regions. Moreover, the maximum PP in the Korean territorial waters (76,450 km²) was estimated at 11,227 Gg C y^-1, which accounts for 0.03% of the global PP. The results may give insights into a better understanding of the PP, further resource utilization, and environmental sustainability in the studied region.

• The Korean Journal of Food & Health Convergence
• /
• v.8 no.1
• /
• pp.21-30
• /
• 2022

This study proposed a multiple regression equation for predicting VO2max of elderly men and women using functional performance variables required to conduct daily activities. The subjects of this study were 58 elderly men (72.4±5.9 yrs) and 117 elderly women (73.4±4.5 yrs) aged 65-90 who belong to the senior welfare center. The maximal graded exercise test using a cycle ergometer and functional performance representing muscle strength, endurance, static and dynamic flexibility, mobility, and agility were measured. For statistical processing, multiple regression analysis was performed, and the statistical significance level was α = .05. As a result, the VO2max estimation formula for the elderly was 0.419 (standing up and sitting down a chair) + 0.199 (leg endurance against wall) + 5.383, and R2=0.406. In addition, the VO2max estimation formula for elderly women is - 0.737 (standing up from a supine position) - 0.144 (waking around two cones in a figure 8) - 0.135 (%body fat) + 0.042 (one leg balance with eyes open) + 29.395, R2=0.367 was calculated. The conclusion is that if the maximal graded exercise test is not available, it is considered that VO2max of the elderly can be predicted properly by using the estimation formula calculated based on the functional performance variable.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.134-134
• /
• 2021

Precipitation is a crucial component of water cycle and play a key role in hydrological processes. Traditionally, gauge-based precipitation is the main method to achieve high accuracy of rainfall estimation, but its distribution is sparsely in mountainous areas. Recently, satellite-based precipitation products (SPPs) provide grid-based precipitation with spatio-temporal variability, but SPPs contain a lot of uncertainty in estimated precipitation, and the spatial resolution quite coarse. To overcome these limitations, this study aims to generate new grid-based daily precipitation using Automatic weather system (AWS) in Korea and multiple SPPs(i.e. CHIRPSv2, CMORPH, GSMaP, TRMMv7) during the period of 2003-2017. And this study used a machine learning based Random Forest (RF) model for generating new merging precipitation. In addition, several statistical linear merging methods are used to compare with the results of the RF model. In order to investigate the efficiency of RF, observed data from 64 observed Automated Synoptic Observation System (ASOS) were collected to evaluate the accuracy of the products through Kling-Gupta efficiency (KGE), probability of detection (POD), false alarm rate (FAR), and critical success index (CSI). As a result, the new precipitation generated through the random forest model showed higher accuracy than each satellite rainfall product and spatio-temporal variability was better reflected than other statistical merging methods. Therefore, a random forest-based ensemble satellite precipitation product can be efficiently used for hydrological simulations in ungauged basins such as the Mekong River.

• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.328-332
• /
• 2015

By logging position data from GPS-equipped construction machines, we re-create daily activities as 3D animations to analyze performance and facilitate look-ahead scheduling. The 3D animation enables going back to any point in time and space to observe the activities as they took place. By segmenting data into a set of activities, it is possible to obtain actual measures of performance such as cycle times, production, speed profiles and idle times. The measures of performance can then be compared to those expected (e.g., theoretical speed profiles vs. observed profiles), and instances of significant difference can be flagged for further investigation. Idle times and queues that exceed prescribed thresholds can also be identified. In general, many of the traditional real-time performance analyses can be performed after the fact. Situations of interest can be identified automatically and the events in this manner enhances effective performance improvement in construction. The proposed research is explained and demonstrated using a real push-loaded earthmoving operation.