• 대한본초학회지
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• 제28권6호
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• pp.87-93
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• 2013

Objectives : Degenerative arthritis arises from several physiological factors. The purpose of this study is to investigate the beneficial effects of Phyto-extract Complex (CME) on degenerative arthritis. Methods : CME is composed of extracts of mulberry (Morus alba L.) fruit, mulberry leaves and black beans (Glycine max (L.) Merr.). To measure the toxicity of CME, we performed the single-dose toxicity study. For the evaluation of its effects on degenerative arthritis, we examined the inhibition of cyclooxygenase-2 (COX-2) activity, using in vitro enzyme activity assay, the reduction of protein expression of COX-2, 5-lipoxygenase (5-LO), and inducible nitric oxide synthase (iNOS) in RAW264.7 cells which were stimulated by lipopolysaccharide (LPS). We also examined the serum level of prostaglandins (PGs) and injury of the knee joint cartilage, using animal model of degenerative arthritis induced by mono-sodium iodoacetate (MIA). Results : CME did not have any toxicity in single-dose toxicity study. The CME inhibited the activity of COX-2 and could reduce the protein expression of COX-2, 5-LO and iNOS in RAW264.7 cells. The CME also reduced the serum level of PGs and prevented from the cartilage injury of knee joint in animal model of degenerative arthritis induced by MIA. Conclusions : Taken altogether, the CME could be useful for the improvement of degenerative arthritis through its various anti-inflammatory activities and prevention from the cartilage injury of knee joint.

• 지식경영연구
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• 제16권1호
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• pp.117-142
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• 2015

Recently, the personal cloud computing service has been being spotlighted as an individual tool of productivity enhancement. However, compared to the rosy forecast, its diffusion rate in the domestic (Korean) market is much slower than expected. In order to find the reason for the slow growth of personal cloud computing service, we attempt to identify influencing factors on user's adoption resistance, while most prior research has focused on the factors affecting its adoption. Based on both the person-technology fit model and the privacy calculus model, we propose technostress and perceived value as key antecedents of adoption resistance. In addition, we identify (1) technical (pace of change and complexity) and personal (self-efficacy) influencing factors on technostress, and (2) beneficial (perceived mobility and perceived availability) and harmful (perceived vulnerability) influencing factors on perceived value. To validate our research model, 133 individual samples were gathered from undergraduate and graduate students who had actual experience of using at least one of personal cloud computing services. The results of the structural equation modeling confirm that both technostress and perceived value have significant effects on adoption resistance, but they have different influencing mechanisms to different types of adoption resistance (indifference, postponement, and rejection). Theoretical and practical contributions are discussed in the conclusion.

• Journal of Biosystems Engineering
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• 제37권5호
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• pp.327-334
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• 2012

Purpose: The color changes in red pepper during far infrared drying were studied in order to establish a color change model. Methods: The far infrared drying experiments of red pepper were conducted at two temperature levels of 60, $70^{\circ}C$ and two air velocity levels of 0.6 and 0.8 m/s. The results were compared with the hot-air drying method. The surface color changes parameters of red pepper were measured qualitatively based on L (lightness), a (redness), b (yellowness) and total color changes (${\Delta}E$). The goodness of fit of model was estimated using the coefficient of determination ($R^2$), the root mean square error (RMSE), the mean relative percent error (P) and the reduced chi-square (${\chi}^2$). Results: The results show that an increase in drying temperature and air velocity resulted in a decrease in drying time, the values of L (lightness) and a (redness) decreased with drying time during far infrared drying. The developed model showed higher $R^2$ values and lower RMSE, P and ${\chi}^2$ values. Conclusions: The model in this study could be beneficial to describe the color changes of red pepper by far infrared drying.

• 한국문헌정보학회지
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• 제49권3호
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• pp.273-289
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• 2015

This study examined changes in citation index scores and rankings of thirty-five chemistry faculty members at Seoul National University using different co-authorship credit allocation models. Using 1,436 Web of Science papers published between 2007 and 2013, we applied the inflated, fractional, harmonic, network-based allocation, and harmonic+ models to calculate faculty's h-, R-, and normalization of h- and R- index scores and rankings. The harmonic+ model, which is based on our belief that contribution of primary authors should be the same regardless of collaboration, is designed to minimize the penalty for research collaboration imposed by harmonic and NBA models by boosting the contribution of collaborating primary authors to be on the equal footing with single authors. Although citation rankings by different models are correlated with each other within the same type of citation indicator, rankings of many faculty members changed across models, suggesting the importance of an accurate and relevant authorship credit allocation model in the citation assessment of researchers. The study also found that authorship patterns in conjunction with citation counts are important factors for robust authorship models such as harmonic and NBA, and harmonic+ model may be beneficial for collaborating primary authors. Future research that reexamines the models with updated empirical data would provide further insights into the robustness of the models.

• International Journal of Internet, Broadcasting and Communication
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• 제13권4호
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• pp.135-142
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• 2021

Estimating the locations of workers in a shipyard is beneficial for a variety of applications such as selecting potential forwarders for transferring data in IoT services and quickly rescuing workers in the event of industrial disasters or accidents. In this work, we propose a human movement stream processing system for estimating worker locations in shipyards based on Apache Spark and TensorFlow serving. First, we use Apache Spark to process location data streams. Then, we design a worker location prediction model to estimate the locations of workers. TensorFlow serving manages and executes the worker location prediction model. When there are requirements from clients, Apache Spark extracts input data from the processed data for the prediction model and then sends it to TensorFlow serving for estimating workers' locations. The worker movement data is needed to evaluate the proposed system but there are no available worker movement traces in shipyards. Therefore, we also develop a mobility model for generating the workers' movements in shipyards. Based on synthetic data, the proposed system is evaluated. It obtains a high performance and could be used for a variety of tasksin shipyards.

• 우주기술과 응용
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• 제3권1호
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• pp.44-57
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• 2023

상호 호혜적으로 진행되는 심우주 탐사 시장에서 우리나라와 같은 심우주 탐사의 후발주자가 심우주 탐사선진국과 빠르게 보조를 맞추기 위해서는 개발기간과 비용을 줄일 수 있는 표준 심우주 탐사선 모델 도출이 필수적이다. 본 논문에서는 다양한 심우주 탐사선에 요구되는 공통설계를 기반으로 하는 표준 심우주탐사선 기본형, 경량형, 및 확장형에 대한 개념 및 형상을 새롭게 제시하였다. 제시된 형상은 모듈화 설계를 바탕으로 하여 확장성 및 설계/구현 효율성을 높였다. 그리고, 표준 심우주 탐사선의 3가지 형태에 적용 가능한 경량화/확장성을 기반으로 하는 전기시스템 설계에 대해서도 기술하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.437-437
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• 2022

The prediction of dam inflow rate is crucial for the management of the largest multi-purpose dam in South Korea, the Soyang Dam. The main issue associated with the management of water resources is the stochastic nature of the reservoir inflow leading to an increase in uncertainty associated with the inflow prediction. The Autoregressive (AR) model is commonly used to provide the simulation and forecast of hydrometeorological data. However, because its estimation is based solely on the time-series data, it has the disadvantage of being unable to account for external variables such as climate information. This study proposes the use of the Autoregressive Exogenous Stochastic Volatility (ARXSV) model within a Bayesian modeling framework for increased predictability of the monthly dam inflow by addressing the exogenous and stochastic factors. This study analyzes 45 years of hydrological input data of the Soyang Dam from the year 1974 to 2019. The result of this study will be beneficial to strengthen the potential use of data-driven models for accurate inflow predictions and better reservoir management.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.233-233
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• 2022

As the world's population grows and food needs diversify, the demand for horticultural crops for beneficial traits is increasing. In order to meet this demand, it is necessary to develop suitable cultivars and breeding methods accordingly. Breeding methods have changed over time. With the recent development of sequencing technology, the concept of genomic selection (GS) has emerged as large-scale genome information can be used. GS shows good predictive ability even for quantitative traits by using various markers, breaking away from the limitations of Marker Assisted Selection (MAS). Moreover, GS using machine learning (ML) and deep learning (DL) has been studied recently. In this study, we aim to build a system that selects phenotype-related markers using the genomic information of the pepper population and trains a genomic selection model to select individuals from the validation population. We plan to establish an optimal genome wide association analysis model by comparing and analyzing five models. Validation of molecular markers by applying linkage markers discovered through genome wide association analysis to breeding populations. Finally, we plan to establish an optimal genome selection model by comparing and analyzing 12 genome selection models. Then We will use the genome selection model of the learning group in the breeding group to verify the prediction accuracy and discover a prediction model.

• Journal of Dairy Science and Biotechnology
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• 제34권3호
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• pp.165-172
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• 2016

Kefir, originating from Caucasus, is an acidic, alcoholic fermented milk product with little acidic taste and a creamy consistency. It is recognized in having beneficial effects infor the prevention and treatment of cancer. For example, Kefir has possesses a chemopreventative effect on carcinogenesis. There has recently been a strong focus on fermented milk foods containing a mixture of several functional organic substances and various probiotic microorganisms. Hence, the purpose of this review paper was to evaluate the scientific evidence for the effects of kefir on cancer prevention and treatment. Some of we analyzed and summarized data-relating to the effects of kefir on cancer. The cacers that kefir has an effect on are as follows: colon cancer, breast cancer, leukemia, sarcoma, skin cancer, gastric cancer. This review suggests that (1) kefir could be associated with cancer prevention, (2) kefir has beneficial effects in cancer treatment, and (3) kefir has various bioactive components including peptides, polysaccharides and sphingolipids, which contribute tofor itsthese anti-cancer properties. Furthermore, furthermore, studies were performed in order to obtain as to get the scientific evidence of kefir's anticancer activity: (1) improved protective effectiveness in vivo (human subjects or animal model), (2) isolation and identification of various bioactive components, and (3) mechanisms associated with beneficial effects.

• International Journal of Vascular Biomedical Engineering
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• 제1권2호
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• pp.20-29
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• 2003

A new treatment for coronary artery occlusive disease is being developed in which a shunt or conduit is placed directly connecting the left ventricle with the diseased artery at a point distal to the obstruction. To aid in assessing and optimizing its benefit, a computational model of the cardiovascular system was developed and used to explore various design conditions. Simulation results indicate that in complete LAD occlusion, flow can be returned to approximately 65% of normal if the conduit resistance is equal for forward and reverse flow, increasing to 80% in the limit in which backflow resistance is infinite. Increases in flow rate produced by asymmetric flow resistance are considerably enhanced in the case of a partial LAD obstruction since the primary effect of resistance asymmetry is to prevent leakage back into the ventricle("steal") during diastole. Increased arterial compliance has little effect on net flow with a symmetric shunt, but leads to considerable augmentation when the resistance is asymmetric. These results suggest that an LV-LAD conduit will be beneficial when stenosis resistance(Rst) > 27 PRU if resistance is symmetric.