• Journal of dental hygiene science
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• v.23 no.2
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• pp.154-168
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• 2023

Background: Legal regulations and fees have been established in Korea to provide visiting oral health care services to individuals with long-term care insurance (LTCI). However, beneficiaries of this service are very limited. Therefore, to improve the Korean system we propose a comparative analysis with the Japanese system. Methods: This study is a descriptive analysis based on secondary data, such as statistics, laws, and service record forms from Korea and Japan. The most recent institutional documents were obtained through a Google search. The variables investigated were financial resources of LTCI, co-payment structure, monthly limit of LTCI benefits, care levels of LTCI, service providers, service costs, contents of service, and the number of cases of service. Results: In both Korea and Japan, LTCI is financed through a combination of taxes and insurance premiums. However, the monthly limit for receiving LTCI services in Japan is about 2.4 times higher than in Korea. Visiting medical and dental treatment is also possible in Japan. Furthermore, nursing staff can provide daily oral health care services according to dental hygienists' instruction unlike Korea. Oral health care services in Korea are focused on oral hygiene and prevention of oral diseases, while Japan additionally provides oral function screening, patient education for oral health management, and training for nursing staff to enhance oral function, eating, and swallowing of the patients. Conclusion: We concluded that the possibility of visiting dental treatment, differences in monthly limit of LTCI benefits, oral function assessment and guidance, as well as collaboration with other healthcare professionals contributed to the difference in the frequency of utilization of visiting oral health care services between Korea and Japan.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.365-365
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• 2022

강우에 따른 유역 내 유출량은 수문순환에서 중요한 요소 중 하나이며, 과거부터 강우-유출 모델링을 위한 여러 물리적 수문모형들이 개발되어왔다. 또한 최근 딥러닝 기술을 기반으로한 강우-유출 모델링 접근 방식이 유효함을 입증하는 여러 연구가 수행됨에 따라 딥러닝을 기반으로한 유출량 모의 연구도 활발히 진행되고 있다. 따라서 본 연구에서는 물리적 수문모형인 SWAT(Soil Water Assessment Tool)과 딥러닝 기법 중 하나인 LSTM(Long Short-Term Memory)을 사용하여 연구대상지 유출량을 모의했으며, 두 모형에 의해 모의 된 유출량의 극값을 비교 분석했다. 연구대상지로는 영산강 유역을 선정했으며, 영산강 유역의 과거 기간의 기후 변수 모의를 위해 CMIP(Coupled Model Intercomparison Project)6 GCM(General Circulation Model)을 사용했다. GCM을 사용하여 모의 된 기후 변수들은 영산강 유역 내 기상관측소의 과거 기간 관측 값을 기반으로 분위사상법을 사용하여 편이보정 됐다. GCM에 의해 모의 된 기후 변수 및 SWAT, LSTM에 의해 모의 된 유출량은 각각 영산강 유역 내 기상관측소 및 수위관측소의 관측 값을 기반으로 재현성을 평가했다. SWAT 및 LSTM을 사용하여 모의 된 유출량의 극값은 GEV(General Extreme Value) 분포를 사용하여 추정하였다. 결과적으로 GCM의 기후 변수 모의 성능은 과거 기간 관측 값과 비교했을 때 편이보정 후에서 상당히 향상되었다. 유출량 모의 결과의 경우 과거 기간 유출량의 관측 값과 비교했을 때 LSTM의 모의 유출량이 SWAT보다 과거 기간 유출량을 보다 근접하게 모의했으며, 극값 모의 성능의 경우 또한 LSTM이 SWAT보다 높은 성능을 보였다.

• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.507-519
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• 2023

Multi-temporal optical images have been utilized for time-series monitoring of croplands. However, the presence of clouds imposes limitations on image availability, often requiring a cloud removal procedure. This study assesses the applicability of various machine learning algorithms for effective cloud removal in optical imagery. We conducted comparative experiments by focusing on two key variables that significantly influence the predictive performance of machine learning algorithms: (1) land-cover types of training data and (2) temporal variability of land-cover types. Three machine learning algorithms, including Gaussian process regression (GPR), support vector machine (SVM), and random forest (RF), were employed for the experiments using simulated cloudy images in paddy fields of Gunsan. GPR and SVM exhibited superior prediction accuracy when the training data had the same land-cover types as the cloud region, and GPR showed the best stability with respect to sampling fluctuations. In addition, RF was the least affected by the land-cover types and temporal variations of training data. These results indicate that GPR is recommended when the land-cover type and spectral characteristics of the training data are the same as those of the cloud region. On the other hand, RF should be applied when it is difficult to obtain training data with the same land-cover types as the cloud region. Therefore, the land-cover types in cloud areas should be taken into account for extracting informative training data along with selecting the optimal machine learning algorithm.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.56 no.6
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• pp.818-825
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• 2023

The surge in online seafood consumption has increased parcel delivery, leading to a need to implement effective preservation methods. As the cold chain system is not fully established in Korea, styrofoam boxes and cold packs are commonly used for low-temperature seafood distribution. The impact of cold packs on product preservation depends on the number utilized. Herein, the freshness of vacuum-packed frozen fish fillets (Paralichthys olivaceus and Scomber japonicus) stored at 25±0.5℃ for up to 84 h was measured. Chemical (pH and volatile base nitrogen), microbiological (viable cell count), and physical (odor intensity) properties were assessed using 2 or 4 cold packs in a styrofoam box. Four cold packs yielded lower values, indicating superior freshness, and extended fish freshness by approximately 12 h compared with two cold packs. Therefore, it is recommended to use a minimum of 4 cold packs (-350 g/cold pack) in a styrofoam box for distributing approximately 300 g of frozen fish fillets at room temperature during the summer, considering an average delivery period of 2 days in Korea.

• Knowledge Management Research
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• v.24 no.3
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• pp.127-148
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• 2023

Traditional Business Intelligence environment is limited to support the rapidly changing businesses and the exponential growth of data in both volume and complexity of data. Companies should shift their business intelligence environment into Self-Service Business Intelligence (SSBI) environment in order to make smarter and faster decisions. However, firms seem to face various challenges in implementing and leveraging the effective business intelligence system, and academics do not provide sufficient studies related including the success factors of SSBI. This study analyzes the three cases of Korean companies in depth, their development process and the assessment of business intelligence, based on the theoretical model on the key success factors of business intelligence systems. The comparative analysis of the three cases including project managers' interviews and performance evaluations provide rich implications for the successful adoption and the use of business intelligence systems of firms. The study is expected to provide useful references for firms to fully leverage the effects of business intelligence systems and upgrade towards self-service business intelligence systems.

• Journal of Digital Convergence
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• v.22 no.2
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• pp.11-20
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• 2024

The aim of this study was to develop a group counseling program as an integrative psychotherapy program to alleviate depression and physical symptoms of 22 women in 60s who experience depression as a symptom of conversion disorder and also tried to prove the effectivity of the program by using comparative analyze of pre-post changes. The Korean-style Elderly Depression Test(K-GDS), Symptom Interpretation Questionnaire(SIQ), Hamilton Depression Assessment Scale Questionnaire, PHQ-9 and interpersonal relationship scale (RCS) were conducted and pre-post-corresponding sample t-test, correlation analysis and multiple regression analysis were performed. The results showed depression reduction, physical symptoms alleviation, decreases in negative emotions and beliefs, and positive changes in interpersonal relationships. The implications and limitations of this study were discussed.

• Journal of Biomedical Engineering Research
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• v.45 no.2
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• pp.81-89
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• 2024

Purpose : This study conducted a systematic review and meta-analysis to evaluate the clinical effectiveness of laser acupuncture for each condition using information from laser acupuncture trials registered on clinicaltrials.gov from January 2013 to June 2023. Methods : We quantitatively and qualitatively analysed the results of 16 clinical trials of laser acupuncture whose research results were confirmed. A risk of bias assessment was also carried out to assess the quality of each clinical trial. Results : A meta-analysis including three clinical trials was conducted to evaluate the comparative effectiveness of laser acupuncture and sham laser acupuncture in reducing pain and found that the laser acupuncture group had a statistically significant reduction in pain compared with the sham laser acupuncture group. In addition, 11 of the 13 trials not included in the meta-analysis showed a positive effect of laser acupuncture. Conclusion : Although laser acupuncture has a long history of clinical use and a lot of research, there is still some scepticism due to the lack of a clear mechanism of action and inconsistent reports of clinical effectiveness. In addition, there is a significant lack of systematic reviews of clinical evidence for major disease specific, and ongoing research is needed to establish an objective evidence base for the clinical effectiveness of laser acupuncture.

• Hip & pelvis
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• v.35 no.2
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• pp.73-87
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• 2023

The aim of this review is to conduct an analysis of existing literature on outcomes of application of various methods of joint decompression in management of septic arthritis of the hip in children. A search of literature in PubMed, Embase, and Google Scholar was conducted for identification of studies reporting on the outcomes of intervention for septic arthritis of the hip in children. Of the 17 articles selected, four were comparative studies; two of these were randomized controlled trials while the rest were single arm studies. Statistical difference was observed between the proportion of excellent clinical and radiological outcomes in arthrotomy (90%, 95% confidence interval [CI] 81-98%; 89%, 95% CI 80-98%), arthroscopy (95%, 95% CI 91-100%; 95%, 95% CI 90-99%), and arthrocentesis (98%, 95% CI 97-100%; 99%, 95% CI 97-100%), respectively. The highest overall rate of additional unplanned procedures was observed in the arthrocentesis group (24/207, 11.6%). Patients who underwent arthrocentesis had a statistically greater chance of excellent clinical and radiological outcomes, although the highest level of need for additional unplanned surgical intervention was observed in the arthrocentesis group, followed by the arthroscopy group and the arthrotomy group. Future conduct of a prospective multi-centric study focusing on the developed and developing world, along with acquisition of data. such as delay of treatment and severity of disease will enable assessment of the efficacy of one technique over the other by surgeons worldwide.

• Korean Journal of Remote Sensing
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• v.40 no.3
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• pp.269-274
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• 2024

High-quality precipitation data are crucial for various industries, including disaster prevention. In South Korea, long-term high-quality data are collected through numerous ground observation stations. However, data between these stations are reprocessed into a grid format using interpolation methods, which may not perfectly match actual precipitation. A prime example of real-time observational grid data globally is the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (GPM IMERG) from National Aeronautics and Space Administration (NASA), while in South Korea, ground radar data are more commonly used. GPM and ground radar data exhibit distinct differences due to their respective processing methods. This study aims to analyze the characteristics of GPM and Constant Altitude Plan Position Indicator(CAPPI),representative real-time grid data, by comparing them with ground-observed precipitation data. The study period spans from 2021 to 2022, focusing on hourly data from Automated Synoptic Observing System (ASOS) sites in South Korea. The GPM data tend to underestimate precipitation compared to ASOS data, while CAPPI shows errors in estimating low precipitation amounts. Through this comparative analysis, the study anticipates identifying key considerations for utilizing these data in various applied fields, such as recalculating design rainfall, thereby aiding researchers in improving prediction accuracy by using appropriate data.

• Tribology and Lubricants
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• v.40 no.2
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• pp.47-53
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• 2024

Surface topography plays a decisive role in determining the performance of several precision components. In particular, the surface roughness of semiconductor devices affects the precision of the circuit. In this regard, the surface topography of a given surface needs to be appropriately assessed. Typically, the average roughness is used as one of the main indicators of surface finish quality because it is influenced by both dynamic and static parameters. Owing to the increasing demand for such accurate and reliable surface measurement systems, studies are continuously being conducted to understand the parameters of surface roughness and measure the average roughness with high reliability. However, the differences in the measurement methods of surface roughness are not clearly understood. Hence, in this study, the surface roughness of the back of a silicon wafer was measured using both contact and noncontact methods. Subsequently, a comparative analysis was conducted according to various surface roughness parameters to identify the differences in surface roughness depending on the measurement method. When using a 3D laser confocal microscope, even smaller surface asperities can be measured compared with the use of a 3D profiler. The results are expected to improve the understanding of the surface roughness characteristics of precision components and be used as a useful guideline for selecting the measurement method for surface topography assessment.