운량은 천체 관측을 지속하는 데에 중요한 요소 중 하나이다. 과거에는 관측자가 날씨를 직접 판단할 수밖에 없 었으나, 원격 및 자동 관측 시스템의 개발로 관측자의 역할이 상대적으로 줄어들었다. 또한 구름의 다양한 형태와 빠른 이동 때문에 자동으로 운량을 판단하는 것은 쉽지 않다. 이 연구에서는 기계학습 기반의 파이썬 모듈인 “cloudynight” 을 밀양아리랑우주천문대의 전천 영상에 적용하여 운량을 모니터링하는 프로그램을 개발하였다. 전천 영상을 하위 영역 으로 나누어 각 39,996개 영역의 16개의 특징을 학습하여 기계학습 모델을 생성하였다. 검증 표본에서 얻은 F1 점수는 0.97로, 기계학습 모델이 우수한 성능을 가짐을 보여준다. 운량(“Cloudiness”)은 전체 하위 영역 개수 중 구름으로 식별 된 하위 영역 개수의 비율로 계산하며, 운량이 지난 30분 동안 0.6을 초과할 때 관측을 중단하도록 자동 관측 프로그 램 규칙을 정하였다. 이 규칙을 따를 때, 기계학습 모델이 운량을 오판하여 관측에 영향을 미치는 경우는 거의 발생하 지 않았다. 본 기계학습 모델을 통하여, 밀양아리랑우주천문대 0.7 m 망원경의 성공적인 자동 관측을 기대한다.

The study aim was to develop and test the effects of integrated simulation pertaining to patients with schizophrenia using a hypertensive crisis module for nursing students. Methods: This pilot study with seven undergraduate nursing students used a single group, pre-post test design. Integrated simulation pertaining to patients with schizophrenia using a hypertensive crisis module was developed based on the ADDIE model (i.e., Analysis, Design, Development, Implementation, and Evaluation), expert meetings with subject professors, a literature review, a preliminary survey, and focus group interviews. Data were collected and measured for general characteristics of the study participants, critical thinking disposition, problem-solving, clinical judgment, self-efficacy, simulation design, and simulation effectiveness. Qualitative contents were analyzed through focus group interviews. Results: No statistically significant differences were found in class design, critical thinking disposition, problem-solving, clinical judgment, and self-efficacy after applying the integrated simulation module. Based on the data obtained from the focus group interviews of study participants, the following four categories were established: “Integrating knowledge and applying it to practice,” “Nursing in unexpected situations,” “Challenged to be an expert,” and “Ensuring receptive and psychological safety in simulation practice.” Conclusion: An integrated simulation module was developed to integrate the nursing problems associated with individual subjects beyond the scope of one subject, and the effect was verified by applying it

The Korea Atomic Energy Research Institute (KAERI) is currently developing a process-based performance assessment model known as APro. Distinguished from the previous system-level safety assessment model developed by KAERI, APro exhibits the capacity to encompass a threedimensional biosphere domain, evolving over the long term. In this study, we elucidate the methodology employed in developing the dose assessment module of APro and present the module’s functionalities. The procedural steps underlying radiation dose calculations within the APro framework can be succinctly outlined as follows: 1) Definition of a landscape model, utilizing information derived from a specified snapshot period provided by the APro biosphere transport module; 2) Generation of unit biotope objects spanning the landscape; 3) Evaluation of radionuclide transfer within the soil medium; 4) Calculation of activity concentration for flora and fauna groups; 5) Assessment of the distribution of effective dose among representative human groups; 6) Progressing through successive time steps. The APro dose calculation module exhibits notable capabilities that encompass: 1) Accounting for radionuclide decay and ingrowth; 2) Facilitating transfer through unsaturated porous media; 3) Considering sorption effects; 4) Addressing the inheritance of radioactivity between various landscape models; 5) Offering customizable ecosystem parameters; 6) Providing flexibility for user-defined exposure pathways. Leveraging these functionalities of the dose assessment module, APro is proficient in evaluating the distribution of radiological doses and associated risks for representative population groups, all while accounting for the dynamic, long-term evolution of the biosphere, including alterations in land cover.

Korea Hydro & Nuclear Power (KHNP) is currently developing a vertical concrete dry storage module for the dry storage of used nuclear fuel within nuclear power plants. This module is designed with a structure consisting of cylinders, which can block the ingress of external air, thereby preventing Chloride-Induced Stress Corrosion Cracking (CISCC). However, due to the presence of these cylinder structures, unlike conventional dry storage systems, it cannot directly dissipate heat to the external atmosphere, making thermal evaluation an important issue. The SF dry storage module being developed by KHNP is a massive concrete structure of approximately 20 m × 10 m × 7 m in size, employing a vertical storage system. To demonstrate the safety of such a large structure, there is no alternative to conducting experiments with scaled-down models. Furthermore, according to NUREG-2215 Section 5.5.4, it is explicitly mentioned that design-verification testing can be performed using scaled-down models. In this paper, a 1/4 scaled-down model was constructed to perform thermal performance verification experiments, and the effectiveness of this model was analyzed using Computational Fluid Dynamics (CFD) methods. The analysis results indicated that there was not a significant difference in terms of maximum concrete temperature and air outlet temperature. However, a considerable difference was observed in the canister surface temperature. Therefore, it is concluded that careful consideration of natural convection heat transfer is necessary for the full application of the scaled-down model.

The ROK government has developed the Nuclear Export and Control System (NEPS) to implement export control activities. Although it was launched in 2008 as a system that can work with classification, licensing, nuclear material approval, government-to-government assurance, complying with nuclear cooperation agreement (NCA) handled through official documents. In order to enhance systematic management for items subject to NCA, KINAC developed a new module for the procedure (hereinafter referred to as “NCA module”) and opened it in 2022. This paper presents the module’s development background, key features, and current operation status. The NCA module prioritizes functional expansion and flexibility, distinct from other tasks for the following reasons. First, the export control duties of classification, export license, and approval for NM are based on domestic law, leading to predetermined target items, application forms, and processes that change only through statutory amendments. In contrast, the implementation of NCA has numerous procedural variables, varying across countries in scope, content, and procedures. Therefore, if the function is over-standardized, there would be many exceptions that the system cannot resolve in practice. Second, the existing NEPS process entails a one-time decision or approval for each application, while the implementation of the agreement encompasses four related procedures for each item: prior notification, written confirmation, shipment notification, and receipt confirmation. Even some steps may be omitted depending on the case. The other difference is the working process. The implementation of NCA must be initiated from the government, so the existing methods, beginning with the licensee filling a form, cannot be adopted as it is. The NCA module has adopted a new reference numbering system to resolve these challenges. It enables the creation of multiple procedures under one reference number on an item to expand the tasks and make it possible to omit some steps or to reflect case-by-case concerns in each stage. It also provides a consolidated view of multiple notifications related to a single item, ensuring to deal with even long-running tasks without missing any obligations until the final procedure. Moreover, some of the data in the NCA module is extensible by allowing users to manage the list themselves. For example, the system can respond to new agreements by allowing users to add and modify codes that distinguish counterparty countries. As a result, the current NCA module accommodates a variety of implementation scenarios, including split shipments, the procedural omissions, and the modification of additional counterparties, offering enhanced flexibility and adaptability.

The sampling test module of the existing AMC Monitoring System is constructed using tubes and fittings, so there has been a problem with molecular contaminants remaining in the system. This study demonstrated how a new manifold-type sampling test module without connecting tubes and fittings, and with super-hydrophobic coating improves residual molecular contaminants in the AMC Monitoring System through CDA purge when molecular contamination occurs in a clean room with a Semiconductor Fabrication.

In this paper, the key assembly of the recently developed light machine gun-Ⅱ sighting device was identified as prone to experiencing horizontal noise caused by unstable voltage fluctuations under high-temperature conditions during the defense environmental stress screening test. The primary objective ot this study is to address the issue of horizontal noise through circuit analysis and device parameter tuning, aiming to eliminate its presence.

Fish school monitoring technology is utilized for various purposes, such as boat fishing and resource surveys. With advancements in information and communication technology, this technology has expanded its application to remote areas. Its significance has grown in fishing sites, particularly for improving the efficiency and cost-effectiveness of set-net fishing. Set-net fishing gears are not limited to coastal areas, but are also installed in inland and remote sea regions. Consequently, fishermen require technology that allows them to quickly transmit information about approaching fish schools and enables them to perform long-term monitoring. The development of remote monitoring technology for set-net fish schools must consider crucial design factors such as communication range, transmission speed, power consumption of information modules, and operational expenses. In this study, we developed a low-power remote monitoring module for set-net fish school based on WCDMA. The module was specifically designed to minimize power consumption, allowing for communication over long distances and extended operation times in set-net fishing applications. Furthermore, we developed a web server software application that enables remote access to fish schools and provides real-time weather information. The performance of the developed module was evaluated through set-net fishing site application and experiments with moving ships on the sea. The experimental results demonstrated that the remote monitoring system, consisting of the developed low-power remote monitoring module for set-net fish school based on WCDMA and a fish finder, had an average power consumption of 4.6 W, a maximum communication range of 22.84 km, and a data transmission and reception rate of 98.79%. The maximum fish school information transmission and reception rate was 97.26%.

The Korean Nuclear Safety and Security Commission has established a general guideline for the disposal of high-level waste, which requires that radiological effects from a disposal facility should not exceed the regulatory safety indicator, a radiological risk. The post-closure safety assessment of the disposal facility aims to evaluate the radiological dose against a representative person, taking into account nuclide transport and exposure pathways and their corresponding probabilities. The biosphere is a critical component of radiation protection in a disposal system, and the biosphere model is concerned with nuclide transport through the surface medium and the doses to human beings due to the contaminated surface environment. In past studies by the Korea Atomic Energy Research Institute (KAERI), the biosphere model was constructed using a representative illustration of surface topographies and groundwater conditions, assuming that the representative surface environment would not change in the future. Each topography was conceptualized as a single compartment, and distributed surface contamination over the geometrical domain was abstracted into 0D. As a result, the existing biosphere model had limitations, such as a lack of quantitative descriptions of various transport and exposure pathways, and an inability to consider the evolution of the surface environment over time. These limitations hinder the accurate evaluation of radiological dose in the safety assessment. To overcome these limitations, recent developments in biosphere modeling have incorporated the nuclide transport process over a 2D or 3D domain, integrating the time-dependent evolution of the surface environment. In this study, we reviewed the methodology for biosphere modeling to assess the radiological dose given by distributed surface contamination over a 2D domain. Based on this review, we discussed the model requirements for a numerical module for biosphere dose assessment that will be implemented in the APro platform, a performance assessment tool being developed by the KAERI. Finally, we proposed a conceptual model for the numerical module of dose assessment.