• 대한통합의학회지
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• 제10권3호
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• pp.209-219
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• 2022

Purpose : The purpose of this study was two-fold: to investigate the effects of uncertainty and depression on the quality of life (QoL) of elderly people with chronic diseases and to provide basic data on the physical, emotional, and psychological factors affecting their QoL in the field of physical therapy. Methods : A questionnaire covering uncertainty, depression, and QoL was distributed among 320 elderly people. Pearson's correlation analysis was performed to examine the correlation between uncertainty (ambiguity, complexity, inconsistency, and unpredictability), depression, and QoL (physical, psychological, social, and living environment domains) of the respondents; furthermore, multiple regression analysis was performed to identify the factors affecting the QoL of the respondents with a chronic disease. Results : The sub-factors of uncertainty and QoL-"complexity and social domain" (r=-.295, p<.001), "complexity and living environment domain" (r=-.302, p<.001), and "inconsistency and living environment domain" (r=-.360, p<.001)-showed a negative (-) correlation, as did depression and the sub-factors of QoL-"depression and physical domain" (r=-.782, p<.001), "depression and psychological domain" (r=-.876, p<.001), "depression and social domain" (r=-.668, p<.001), and "depression and living environment domain" (r=-.731, p<.001). The factors affecting QoL were complexity (𝛽=-.122, p<.001), inconsistency (𝛽=-.102, p=.002), unpredictability (𝛽=.112, p<.001), and depression (𝛽=-.850, p<.001). The relative influence of the independent variables was in the order of depression, complexity, unpredictability, and inconsistency, and the explanatory power was 77.1 % (F=215.853, p<.001). Conclusion : It is important to help the elderly with chronic diseases reduce the negative impact on their quality of life by helping them gain support from their families and medical professionals and by increasing their understanding through communication so that they can transition from negative emotions to positive emotions of opportunity.

• Nuclear Engineering and Technology
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• 제55권9호
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• pp.3133-3139
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• 2023

Neutron imaging technology as a means of non-destructive detection of materials is complementary to X-ray imaging. Silicon photomultiplier (SiPM), a new type of optical readout device, has overcome some shortcomings of traditional photomultiplier tube (PMT), such as high-power consumption, large volume, high price, uneven gain response, and inability to work in strong magnetic fields. Its application in the field of neutron detection will be an irresistible general trend. In this paper, a thermal neutron imaging detector based on ⁶LiF/ZnS scintillation screen and SiPM array readout was developed. The design of the detector geometry was optimized by geant4 Monte Carlo simulation software. The optimized detector was evaluated with a step wedge sample. The results show that the detector prototype with a 48 mm × 48 mm sensitive area can achieve about 38% detection efficiency and 0.26 mm position resolution when using a 300 ㎛ thick ⁶LiF/ZnS scintillation screen and a 2 mm thick Bk7 optical guide coupled with SiPM array, and has good neutron imaging capability. It provides effective data support for developing high-performance imaging detectors applied to the China Spallation Neutron Source (CSNS).

• Nuclear Engineering and Technology
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• 제55권9호
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• pp.3423-3440
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• 2023

In this work, a multivariate time-series machine learning meta-model is developed to predict the transient response of a typical nuclear power plant (NPP) undergoing a steam generator tube rupture (SGTR). The model employs Recurrent Neural Networks (RNNs), including the Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid CNN-LSTM model. To address the uncertainty inherent in such predictions, a Bayesian Neural Network (BNN) was implemented. The models were trained using a database generated by the Best Estimate Plus Uncertainty (BEPU) methodology; coupling the thermal hydraulics code, RELAP5/SCDAP/MOD3.4 to the statistical tool, DAKOTA, to predict the variation in system response under various operational and phenomenological uncertainties. The RNN models successfully captures the underlying characteristics of the data with reasonable accuracy, and the BNN-LSTM approach offers an additional layer of insight into the level of uncertainty associated with the predictions. The results demonstrate that LSTM outperforms GRU, while the hybrid CNN-LSTM model is computationally the most efficient. This study aims to gain a better understanding of the capabilities and limitations of machine learning models in the context of nuclear safety. By expanding the application of ML models to more severe accident scenarios, where operators are under extreme stress and prone to errors, ML models can provide valuable support and act as expert systems to assist in decision-making while minimizing the chances of human error.

• 한국컴퓨터정보학회논문지
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• 제14권12호
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• pp.17-24
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• 2009

최근에, 그린 컴퓨팅은 모든 산업 분야에서 가장 중요한 이슈가 되었다. 이에 따라, 에너지 효율성의 강조는 아무리 강조해도 과하지 않다. 상용 프로세서 제조업체인 인텔의 경우도 성능 뿐 아니라, 에너지 효율성을 매우 강조하고 있다. 그럼에도 불구하고, 컴퓨터를 사용하는 많은 일반 사용자들은 추가비용 임이 컴퓨터의 성능만을 높이기 위해 CPU 오버클럭킹을사용한다. CPU 오버클럭킹을 통한 성능 향상에 따른 파워 소모는 필요악으로 여겨져 왔다. 본 논문에서는 CPU 공급전압은 그대로 유지하고 CPU 클럭 주파수만 증가시키는 에너지 효율을 고려한 효과적인 CPU 오버클럭킹 방법을 제안한다. 이 방법을 통해 에너지 감소와 성능 향상이라는 두가지 목적을 동시에 달성하였다. 실험결과, 실행시간 17% 단축, 전체 컴퓨터 시스템 에너지 소모 5% 감소를 보여주었다. 더불어, 전체 컴퓨터 시스템 Energy Delay Product (EDP)가 22% 감소되는 결과를 보여주었다.

• 해양환경안전학회지
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• 제29권6호
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• pp.659-665
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• 2023

선박 발전기의 여자기는 출력 단자 전압을 일정하게 유지하기 위하여 여자전류 제어를 통해 자속을 조정한다. 여자기 내부에 있는 전압제어기는 통상적으로 비례 적분 제어방식이 사용되는데 게인과 시정수에 의해 결정되는 응답 특성은 적절치 못한 설정값에 의해 원하지 않는 출력을 내며 이로 인해 선내 전력의 품질과 안정성을 떨어뜨릴 수 있다. 본 논문에서는 IEEE에서 제공하는 AC4A 타입의 여자기 모델을 통해 얻을 수 있는 안정적인 입출력 데이터를 활용하여 신경망 회로를 학습시킨 후 기존의 비례 적분 제어방식의 전압제어기를 학습된 신경망 회로 제어기로 대체하여 시뮬레이션을 수행하였다. 그 결과 기존 대비 최대 9.63%까지 오버슈팅이 개선되었으며, 안정적인 응답 특성에 대한 우수성을 확인하였다.

• 드라이브 ㆍ 컨트롤
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• 제20권4호
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• pp.1-8
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• 2023

In recent years, robots have been utilized in various industries to reduce workload and enhance work efficiency. The following mobility offers users convenience by autonomously tracking specific locations and targets without the need for additional equipment such as forklifts or carts. In this paper, deep learning techniques were employed to recognize individuals and assign each of them a unique identifier to enable the recognition of a specific person even among multiple individuals. To achieve this, the distance and angle between the robot and the targeted individual are transmitted to respective controllers. Furthermore, this study explored the control methodology for mobility that tracks a specific person, utilizing Simultaneous Localization and Mapping (SLAM) and Proportional-Integral-Derivative (PID) control techniques. In the PID control method, a genetic algorithm is employed to extract the optimal gain value, subsequently evaluating PID performance through simulation. The SLAM method involves generating a map by synchronizing data from a 2D LiDAR and a depth camera using Real-Time Appearance-Based Mapping (RTAB-MAP). Experiments are conducted to compare and analyze the performance of the two control methods, visualizing the paths of both the human and the following mobility.

• 농업과학연구
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• 제50권4호
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• pp.603-616
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• 2023

This study was conducted to investigate the productivity, meat quality, blood variables, stress responses, and litter quality of broilers offered feed with different levels of Glycine (Gly) supplementation under heat stress condition. A total of 760 one-day-old Ross 308 broiler males were randomly assigned to one of the four dietary treatment groups: (1) basal diet (control; CON); (2) basal diet + Gly 0.1% (Gly 0.1%); (3) basal diet + Gly 0.2% (Gly 0.2%); and (4) basal diet + Gly 0.3% (Gly 0.3%). The environments for all the treatments groups were maintained according to broiler rearing guidelines from day 1 to day 21, and heat stress condition (32 ± 1℃, 60 ±5%) was created from day 22 to the end. The addition of Gly increased weight gain and affected feed intake (p < 0.05). Gly 0.1% group had higher pH and ferric reducing antioxidant power (FRAP) in the chicken meat and lower heterophil (HE)/lymphocyte (LY) ratio in the blood (p < 0.05). In particular, Gly 0.2% treatment group had lower serum corticosterone level (p < 0.05) than other groups. For jejunum morphology, the addition of Gly 0.2% significantly reduced the depth of the crypts (p < 0.05). However, the addition of Gly did not significantly affect litter quality (p > 0.05). In conclusion, the addition of glycine improved productivity and meat quality, alleviated heat stress, and improved intestinal function. Further studies are needed to determine the optimal level and mechanism of action of the additive when ingested.

• 경영정보학연구
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• 제22권1호
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• pp.91-111
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• 2020

최근 디지털 콘텐츠 시장의 패러다임이 소유에서 소비라는 관점으로 바뀌는 가운데, 전자책 시장에서는 무제한 정액 구독 서비스가 빠르게 보급되고 있다. 본 연구는 무제한 정액제가 새로이 도입되는 상황에서 소비자들의 가격제 선택 행태와 더불어, 구독 후 실제로 어떠한 전자책 구매 패턴을 보이는지에 대해 실증적으로 검증하였다. 분석 결과, 소비자들은 합리적 의사결정을 바탕으로 정액제에 지불한 금액 이상의 도서를 다운로드 받으며 경제적 실리를 취하고 있었다. 헤비유저일수록 정액제를 선호하였으며, 과거 구독을 통해 실제로 경제적 효용을 경험한 유저일수록 정액제 이용을 갱신하는 경향이 나타났다. 한 편, 구독 기간과 관련해서는 1일 혹은 1달 단위의 정액제 구독 보다 1주일 정액제 이용 시에 경제적 효용이 가장 큰 것으로 나타나, 기간이 너무 짧거나 길지 않을 때 미래 수요를 가장 합리적으로 판단할 수 있음을 시사하였다. 마지막으로 인앱결제 기능 유무에 따라 iOS와 안드로이드 유저 간에 정액제 선호와 전자책 구매패턴이 다르게 나타남을 발견하였다.

• 전기전자학회논문지
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• 제28권1호
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• pp.33-37
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• 2024

본 논문에서는 0.25 ㎛ 게이트 길이를 갖는 GaN HEMT 기술을 사용하여 개발한 X-대역 저잡음 증폭기 MMIC의 특성을 기술한다. 개발된 GaN 기반 X-대역 저잡음 증폭기 MMIC는 9 GHz ~ 10 GHz의 동작 주파수 대역에서 22.75 dB ~ 25.14 dB의 소신호 이득과 1.84 dB ~ 1.94 dB의 잡음지수 특성을 나타내었다. 입력 반사 손실 특성과 출력 반사 손실 특성은 각각 -11.36 dB ~ -24.49 dB, -11.11 dB ~ -17.68 dB를 얻었으며 40 dBm (10 W)의 입력 전력에 성능 열화 없이 정상적으로 동작하였다. MMIC의 크기는 3.67 mm × 1.15 mm이다. 개발된 GaN 기반 저잡음 증폭기 MMIC는 X-대역의 다양한 응용에 적용 가능하다.

• 한국식품저장유통학회지
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• 제30권3호
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• pp.369-382
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• 2023

We examined the changes in the physicochemical quality characteristics and antioxidant activity of fresh-cut Fuji apples (Malus pumila) during processing and storage after treatment with browning inhibitors. The primary aim was to elucidate processing suitability and storability. We observed that in the processing stage of slicing fresh Fuji apples, there were no significant differences in 1,1-diphenyl-2-picrylhydrazyl (DPPH) and 2,2'-azinobis (3-ethylbenzothiazoline-6-sulfonic acid (ABTS) radical scavenging ability and ferric-reducing antioxidant power (FRAP). However, after NaClO treatment, total flavonoid and total polyphenol contents decreased. When freshcut Fuji apples were treated with browning inhibitors and stored at 4℃, the L value and hardness decreased; however, the weight loss rate increased based on the storage period of all fruit groups treated with Citrus unshiu Markovich (CuM), calcium ascorbate (CA), and ascorbic acid (AA). The pH increased after 2 days of storage in 1% CuM and after 6 days of storage in 1% CA; however, no changes in pH were observed during the storage period in 1% AA. The DPPH radical scavenging activity was generally good under storage conditions of 1% AA at 4℃ and 1% CA at 20℃. Furthermore, FRAP remained relatively constant under storage conditions of 1% CA. The quality characteristics and antioxidant activity of fresh-cut fruits during processing and storage can be used as basic data for industries. Furthermore, we can gain confidence in quality improvements by improving the production and distribution environment of fresh-cut agricultural products.