• Journal of Radiation Protection and Research
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• 제47권1호
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• pp.8-15
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• 2022

Background: We developed a machine vision technology program that tracks patients' real-time breathing and automatically analyzes their breathing patterns. Materials and Methods: To evaluate its potential for clinical application, the image tracking performance and accuracy of the program were analyzed using a respiratory motion phantom. Changes in the stability and regularity of breathing were observed in healthy adult volunteers according to whether the breathing pattern mirrored the breathing guidance. Results and Discussion: Displacement within a few millimeters was observed in real-time with a clear resolution, and the image tracking ability was excellent. This result was consistent even in the sections where breathing patterns changed rapidly. In addition, the respiratory gating method that reflected the individual breathing patterns improved breathing stability and regularity in all volunteers. Conclusion: The findings of this study suggest that this technology can be used to set the appropriate window and the range of internal target volume by reflecting the patient's breathing pattern during radiotherapy planning. However, further studies in clinical populations are required to validate this technology.

• 한국재난정보학회 논문집
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• 제18권2호
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• pp.241-251
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• 2022

연구목적: 고층 건물 화재시 제연구역이 효과적으로 보호되지 않으면 수직피난경로에 연기나 화염이 유입되어 대피가 어려워진다. 국가화재안전기준에서는 제연구역에 차압 및 방연풍속을 공급하여 능동적으로 연기 유입을 억제하고, 제연구역으로부터 옥내로 유입되는 공기는 옥외로 배출되도록 하고 있다. 본 연구는 유입 공기의 배출로 인한 문제점을 확인하고 성능개선 방안에 대하여 알아보고자 하였다. 연구방법: CONTAM 프로그램을 사용하여 기본조건과 변경조건으로 시뮬레이션을 수행하였다. 연구결과: 밀폐된 복도에서 유입 공기가 배출되면 제연구역에서 과압이 발생하여 개방력을 초과하였고 유입공기가 배출되지 않는 층 에서는 방연풍속이 미달하였다. 결론: "차압 배출댐퍼" 적용, 배출댐퍼 2개층 동시 개방, 복도와 옥외 사이 자동식 창문 설치로 유입공기의 배출 성능이 개선되었다.

• 한국학교ㆍ지역보건교육학회지
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• 제23권4호
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• pp.49-61
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• 2022

Objectives: It is reported that the depression of women with disabilities is higher than that of men with disabilities and people with disabilities. Therefore, the purpose of this study is to identify the depression level and influencing factors of middle-aged women with disabilities. Method: For this study, the 2020 survey on the disabled was used. The subjects were 2,546 middle-aged and disabled women over the age of 40 who responded to the survey. For data analysis, SPSS Window 26.0 program was used. Descriptive analysis, chi-square test, and multiple logistic analysis were performed to identify factors affecting depression in middle-aged women with disabilities. Results: In this study, marital status, subjective economic status, disability type, subjective health status, subjective obesity, chronic disease, exercise, stress and suicidal ideation, and self-going ability variables of middle-aged and elderly women with disabilities were found to be related to depression. Factors affecting the depression of middle-aged women with disabilities were analyzed to be marital status, smoking, stress, and suicidal ideation variables. Conclusion: Stress and suicidal ideation should be reduced to effectively reduce depression and improve depression in middle-aged and elderly women with disabilities. And the development and application of health education and programs that can promote mental health are required.

• Smart Structures and Systems
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• 제29권2호
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• pp.301-309
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• 2022

Protective coatings are most widely used anticorrosive structures for steel structures. The corrosion under the coating damages the host material, but this damage is completely hidden. Therefore, a field-applicable under-coating-corrosion visualization method has been desired for a long time. Laser ultrasonic technology has been studied in various fields as an in situ nondestructive inspection method. In this study, a comparative analysis was carried out between a guided-wave ultrasonic propagation imager (UPI) and pulse-echo UPI, which have the potential to be used in the field of under-coating-corrosion management. Both guided-wave UPI and pulse-echo UPI were able to successfully visualize the corrosion. Regarding the field application, the guided-wave UPI performing Q-switch laser scanning and piezoelectric sensing by magnetic attachment exhibited advantages owing to the larger distance and incident angle in the laser measurement than those of the pulse-echo UPI. Regarding the corrosion visualization methods, the combination of adjacent wave subtraction and variable time window amplitude mapping (VTWAM) provided acceptable results for the guided-wave UPI, while VTWAM was sufficient for the pule-echo UPI. In addition, the capability of multiple sensing in a single channel of the guided-wave UPI could improve the field applicability as well as the relatively smaller size of the system. Thus, we propose a guided-wave UPI as a tool for under-coating-corrosion management.

• 대기
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• 제33권4호
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• pp.423-440
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• 2023

The updated version of Global Ocean Data Assimilation and Prediction System (GODAPS) in the NIMS/KMA (National Institute of Meteorological Sciences/Korea Meteorological Administration), which has been in operation since December 2021, is being introduced. This technical note on GODAPS2 describes main progress and updates to the previous version of GODAPS, a software tool for the operating system, and its improvements. GODAPS2 is based on Forecasting Ocean Assimilation Model (FOAM) vn14.1, instead of previous version, FOAM vn13. The southern limit of the model domain has been extended from 77°S to 85°S, allowing the modelling of the circulation under ice shelves in Antarctica. The adoption of non-linear free surface and variable volume layers, the update of vertical mixing parameterization, and the adjustment of isopycnal diffusion coefficient for the ocean model decrease the model biases. For the sea-ice model, four vertical ice layers and an additional snow layer on top of the ice layers are being used instead of previous single ice and snow layers. The changes for data assimilation include the updated treatment for background error covariance, a newly added bias scheme combined with observation bias, the application of a new bias correction for sea level anomaly, an extension of the assimilation window from 1 day to 2 days, and separate assimilations for ocean and sea-ice. For comparison, we present the difference between GODAPS and GODAPS2. The verification results show that GODAPS2 yields an overall improved simulation compared to GODAPS.

• Nuclear Engineering and Technology
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• 제55권8호
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• pp.2927-2934
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• 2023

The influence of the atmospheric radon background on the airborne gamma spectrum can seriously affect researchers' judgement of ground radiation information. However, due to load and endurance, unmanned aerial vehicle (UAV)-borne gamma-ray spectrometry is difficulty installing upward-looking detectors to monitor atmospheric radon background. In this paper, an advanced spectral-ratio method was used to correct the atmospheric radon background for a UAV-borne gamma-ray spectrometry in Inner Mongolia, China. By correcting atmospheric radon background, the ratio of the average count rate of U window in the anomalous radon zone (S5) to that in other survey zone decreased from 1.91 to 1.03, and the average uranium content in S5 decreased from 4.65 mg/kg to 3.37 mg/kg. The results show that the advanced spectral-ratio method efficiently eliminated the influence of the atmospheric radon background on the UAV-borne gamma-ray spectrometry to accurately obtain ground radiation information in uranium exploration. It can also be used for uranium tailings monitoring, and environmental radiation background surveys.

• Asia pacific journal of information systems
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• 제34권1호
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• pp.150-190
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• 2024

This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.

• 대한정형도수물리치료학회지
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• 제30권1호
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• pp.85-93
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• 2024

Background: This study examined the Immediate effects of IASTM using microcurrent and the flossing band on the lower extremity fascia thickness in subjects with Intrinsic patellofemoral pain syndrome. Methods: Sixty-six subjects with patellofemoral pain syndrome were randomized into three groups (22 each in the microcurrent IASTM (instrument assisted soft-tissue mobilization) group, and flossing band group, and combined microcurrent IASTM and flossing band group) to evaluate the immediate effects of the lower extremity fascia thickness before and after intervention. The thickness of the lower extremity fascia was measured using an ultrasound machine. Using SPSS Window. 22.0, a Shapiro Wilk was conducted to test the normality of all variables; within-group comparisons were made with a paired-samples t-test, and between-group interventions were subjected to a one-way analysis of variance. Results: Changes in the thickness of the fascia in the thigh area were observed before and after intervention in all three groups. There was a significant decrease, and in the combined group, there was a significant decrease in fascia thickness compared to when the IASTM group and the flossing band group were applied separately (p<.05). Conclusion: Through this study, the effect on fascia thickness was confirmed when IASTM and flossing band intervention were combined, and it is believed that it can be used as basic clinical data for patients with knee-thigh pain syndrome.

• 스마트미디어저널
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• 제13권6호
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• pp.24-34
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• 2024

시계열인 네트워크 트래픽 데이터로부터 미래를 예측할 수 있다면 효율적인 자원 배분, 악성 공격에 대한 예방, 에너지 절감 등의 효과를 거둘 수 있다. 통계 기법과 딥러닝 기법에 기반한 많은 모델이 제안되었는데, 이들 연구 대부분은 모델 구조와 학습 알고리즘을 개선하는 일에 치중하였다. 모델의 예측 성능을 높이는 또 다른 접근방법은 우수한 데이터를 확보하는 것이다. 이 논문은 우수한 데이터를 확보할 목적으로, 시계열 데이터를 증강하는 밀집 샘플링 기법을 네트워크 트래픽 예측 응용에 적용하고 성능 향상을 분석한다. 데이터셋으로는 네트워크 트래픽 분석에 널리 사용되는 UNSW-NB15를 사용한다. RMSE와 MAE, MAPE를 사용하여 성능을 분석한다. 성능 측정의 객관성을 높이기 위해 10번 실험을 수행하고 기존 희소 샘플링과 밀집 샘플링의 성능을 박스플롯으로 비교한다. 윈도우 크기와 수평선 계수를 변화시키며 성능을 비교한 결과 밀집 샘플링이 일관적으로 우수한 성능을 보였다.

• 전기전자학회논문지
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• 제19권3호
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• pp.319-326
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• 2015

본 논문에서는 OPC 스택이 없는 제어기를 OPC DA 클라이언트와 통신하도록 하는 변환 소프트웨어 개발 기법을 제안한다. 제안된 기법은 OPC DA 표준 프로토콜에 기반을 둔 OPC 서버 구현, OPC 태그 및 포인트의 정보를 확인할 수 있는 GUI 개발, OPC 프로토콜에서 개방형 표준 프로토콜로 변환하는 변환모듈 개발 등의 3가지 과정으로 구성된다. OPC DA 표준 프로토콜에 기반을 둔 OPC 서버 구현 과정은 산업용 OPC DA 클라이언트와 OPC DA 프로토콜을 통하여 데이터를 주고받을 수 있도록 PC에 서버를 구현하는 단계이다. OPC 태그 및 포인트의 정보를 확인할 수 있는 GUI 개발 과정은 OPC 서버를 구동시키고 이를 윈도우 레지스트리에 등록하며 OPC 태그 및 포인트를 확인하고 직렬통신 데이터의 송수신 확인을 위한 GUI 개발 단계이다. OPC DA 프로토콜에서 개방형 표준 프로토콜로 변환하는 변환모듈 개발과정은 OPC DA 클라이언트로부터 수신된 OPC 태그의 데이터를 개방형 표준 프로토콜을 사용하는 산업용 제어기기와 직접적으로 통신을 할 수 있도록 프로토콜을 변환함으로써 데이터를 송수신 할 수 있는 변환모듈을 개발하는 단계이다. 개발된 소프트웨어의 효율성을 평가하기 위하여 본 논문에서 개발한 서버단의 소프트웨어와 OPC 클라이언트를 연결하고, 개방형 표준 프로토콜을 사용하는 5개의 샘플 제어기기와 연결하여 테스트 한 결과 전체 송수신 패킷 중에서 96.98%의 평균 통신 성공률을 나타내었다. 따라서 본 논문에서 제안한 OPC DA 변환 소프트웨어를 이용하여 Modbus 프로토콜을 지원하는 산업용 빌딩 제어 장치와 산업용 OPC DA 클라이언트 사이에 통신을 수행시킬 수 있음이 확인되었다.