• The Bulletin of The Korean Astronomical Society
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• v.46 no.1
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• pp.39.1-39.1
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• 2021

The Local Volume Mapper(LVM) project in the fifth iteration of the Sloan Digital Sky Survey (SDSS-V) will produce large integral-field spectroscopic survey data to understand the physical conditions of the interstellar medium in the Milky Way, the Magellanic Clouds, and other local-volume galaxies. We are developing the LVM Instrument control software. The architecture design of the software follows a hierarchical structure in which the high-level software packages interact with the low-level and mid-level software and hardware components. We adopt the spiral software development model in which the software evolves by iteration of sequential processes, i.e., software requirement analysis, design, code generation, and testing. This spiral model ensures that even after being commissioned, the software can be revised according to new operational requirements. We designed the software by using the Unified Modeling Language, which can visualize functional interactions in structure diagrams. We plan to use the SDSS software framework CLU for the interaction between components, based on the RabbitMQ that implemented the Advanced Message Queuing Protocol (AMQP).

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.1
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• pp.271-280
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• 2016

In recent years, most domestic colleges of engineering are continuously trying to enhance the quality of education in engineering so as to meet the international requirement of education standards of this era. In consequence, the colleges are willing to acquire the accreditation of education by the ABEEK (Accreditation Board for Engineering Education of Korea) so that they can find the right way for the education of engineering and establish concrete educational programs in engineering. In this contribution, we exemplify a case of the College of Engineering in Mokwon University to survey and analyze the current state of education in engineering. We adopt the AS-IS and TO-BE analysis model to assess the system and try to figure out the right way for custom-designed education. The analysis helps understanding of the current situation of local private universities and consequently be used as important data for acquiring the engineering accreditation for global standard.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.19 no.2
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• pp.187-198
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• 2008

If mentoring is performed in university libraries for mentors, the senior librarians with much experience and mentees, the juniors with less or no experience, how would they respond to it and what would be the mentoring they wish to do? This study aims to find those out by analyzing data. For this, it referred to literature and conducted a survey with the subject of the librarians at the P university library. As a result, they showed relatively higher intentions to participate in mentoring. Their highest interest topics were their job related advice or consultation. For the mentor-mentee matching, they wished to have such relationship from the board organized in the library, or mentees wanted to select. They chose work ability as the most important requirement for their partners involved in the mentoring. They responded that the best mentor-mentee matching would be 1:1 and less than a year would be appropriate for the mentoring period. As shown above, most of the librarians showed intentions to participate in mentoring for their professional development and self-learning opportunity; therefore, university libraries should publicize librarians' mentoring actively and develop various programs for it.

• The Plant Pathology Journal
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• v.39 no.4
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• pp.309-318
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• 2023

Huanglongbing (HLB) is one of the most destructive diseases in citrus, which imperils the sustainability of citriculture worldwide. The presumed causal agent of HLB, 'Candidatus Liberibacter asiaticus' (CLas) is a non-culturable phloem-limited α-proteobacterium transmitted by Asian citrus psyllids (ACP, Diaphorina citri Kuwayama). A widely adopted method for HLB diagnosis is based on quantitative real-time polymerase chain reaction (qPCR). Although HLB diagnostic qPCR provides high sensitivity and good reproducibility, it is limited by time-consuming DNA preparation from plant tissue or ACP and the requirement of proper lab instruments including a thermal cycler to conduct qPCR. In an attempt to develop a quick assay that can be deployed in the field for CLas detection, we developed a real-time loop-mediated isothermal amplification (rt-LAMP) assay by targeting the CLas five copy nrdB gene. The rt-LAMP assay using various plant sample types and psyllids successfully detected the nrdB target as low as ~2.6 Log10 copies. Although the rt-LAMP assay was less sensitive than laboratory-based qPCR (detection limit ~10 copies), the data obtained with citrus leaf and bark and ACP showed that the rt-LAMP assay has >96% CLas detection rate, compared to that of laboratory-based qPCR. However, the CLas detection rate in fibrous roots was significantly decreased compared to qPCR due to low CLas titer in some root DNA sample. We also demonstrated that the rt-LAMP assay can be used with a crude leaf DNA extract which is fully deployable in the field for quick and reliable HLB screening.

• Journal of Software Assessment and Valuation
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• v.13 no.2
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• pp.9-17
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• 2017

Software compliance is an essential process when Open Source Software is included in software development to avoid such as license violation issue. However, analyzing quite big software which involves many developers requires enormous time and hard difficulty. To resolve these kinds of problem, SPDX formalizes and standardize the metadata about the software package. When the use of SPDX is activated, software package analysis would be simple and could contribute fair Open Source Software distribution. In this paper, we develop blockchain based SPDX distribution platform which fulfills the requirement of SPDX lifecycle to provide SPDX database which does not depend on particular centralized service but serve as distributed ledger and control by user's certification and their purpose. Moreover, to contribute invigoration of blockchain based SPDX distribution platform, we develop SPDX document generation plug-in for integrated development environment such as Visual Studio.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.3
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• pp.365-374
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• 2023

Objectives: After the MSDS submission and non-disclosure review system was introduced in January 2021, there were compliance difficulties in the field. Accordingly, for the establishment of the MSDS system, the government intends to investigate what has been improved and what urgently needs to be improved in the future, and to suggest detailed improvement plans. Methods: The background and problems of urgent difficulties in the field handling chemicals were investigated, and realistic improvement plans were derived through review of other laws related to the MSDS system and overseas cases. Results: In order to guarantee the safety of the public while at the same time promoting corporate R&D, it is necessary to alleviate the non-disclosure screening system for chemical substances for R&D, and to improve the irrationality of failing to implement the non-disclosure screening system due to information on unclassified substances being circulated. For this reason, it seems necessary to ease the requirement to submit all ingredients. In addition, it is necessary to strengthen punishment to raise awareness so that health problems do not occur due to the harmfulness and danger of hidden substances among workers who handle chemical substances and downstream users due to false descriptions in MSDS. Conclusions: All members of our society, including chemical manufacturers/importers and handling companies, academia, civil society, and the government, each subject of chemicals, should take an interest in the entire process from production to disposal of chemicals and work together to prevent harm to the public.

• Computers and Concrete
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• v.33 no.5
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• pp.535-544
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• 2024

In the rapidly advancing landscape of computer vision (CV) technology, there is a burgeoning interest in its integration with the construction industry. Camera calibration is the process of deriving intrinsic and extrinsic parameters that affect when the coordinates of the 3D real world are projected onto the 2D plane, where the intrinsic parameters are internal factors of the camera, and extrinsic parameters are external factors such as the position and rotation of the camera. Camera pose estimation or extrinsic calibration, which estimates extrinsic parameters, is essential information for CV application at construction since it can be used for indoor navigation of construction robots and field monitoring by restoring depth information. Traditionally, camera pose estimation methods for cameras relied on target objects such as markers or patterns. However, these methods, which are marker- or pattern-based, are often time-consuming due to the requirement of installing a target object for estimation. As a solution to this challenge, this study introduces a novel framework that facilitates camera pose estimation using standardized materials found commonly in construction sites, such as concrete forms. The proposed framework obtains 3D real-world coordinates by referring to construction materials with certain specifications, extracts the 2D coordinates of the corresponding image plane through keypoint detection, and derives the camera's coordinate through the perspective-n-point (PnP) method which derives the extrinsic parameters by matching 3D and 2D coordinate pairs. This framework presents a substantial advancement as it streamlines the extrinsic calibration process, thereby potentially enhancing the efficiency of CV technology application and data collection at construction sites. This approach holds promise for expediting and optimizing various construction-related tasks by automating and simplifying the calibration procedure.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.1
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• pp.125-132
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• 2024

Optical satellite images are being used for national security and collection of information, and their utilization is increasing. However, it acquires low-quality images that are not suitable for the user's requirement due to weather conditions and time constraints. In this paper, a deep learning-based conversion of image and colorization model referring to high-resolution SAR images was created to simulate the occluded area with clouds of optical satellite images. The model was experimented according to the type of algorithm applied and input data, and each simulated images was compared and analyzed. In particular, the amount of pixel value information between the input black-and-white image and the SAR image was similarly constructed to overcome the problem caused by the relatively lack of color information. As a result of the experiment, the histogram distribution of the simulated image learned with the Gray-scale image and the high-resolution SAR image was relatively similar to the original image. In addition, the RMSE value was about 6.9827 and the PSNR value was about 31.3960 calculated for quantitative analysis.

• Journal of Chest Surgery
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• v.57 no.1
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• pp.36-43
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• 2024

Background: Coronavirus disease 2019 (COVID-19) can lead to acute respiratory failure, which frequently necessitates invasive mechanical ventilation and extracorporeal membrane oxygenation (ECMO). However, the limited availability of ECMO resources poses challenges to patient selection and associated decision-making. Consequently, this retrospective single-center study was undertaken to evaluate the characteristics and clinical outcomes of patients with COVID-19 receiving ECMO. Methods: Between March 2020 and July 2022, 65 patients with COVID-19 were treated with ECMO and were subsequently reviewed. Patient demographics, laboratory data, and clinical outcomes were examined, and statistical analyses were performed to identify risk factors associated with mortality. Results: Of the patients studied, 15 (23.1%) survived and were discharged from the hospital, while 50 (76.9%) died during their hospitalization. The survival group had a significantly lower median age, at 52 years (interquartile range [IQR], 47.5-61.5 years), compared to 64 years (IQR, 60.0-68.0 years) among mortality group (p=0.016). However, no significant differences were observed in other underlying conditions or in factors related to intervention timing. Multivariable analysis revealed that the requirement of a change in ECMO mode (odds ratio [OR], 366.77; 95% confidence interval [CI], 1.92-69911.92; p=0.0275) and the initiation of continuous renal replacement therapy (CRRT) (OR, 139.15; 95% CI, 1.95-9,910.14; p=0.0233) were independent predictors of mortality. Conclusion: Changes in ECMO mode and the initiation of CRRT during management were associated with mortality in patients with COVID-19 who were supported by ECMO. Patients exhibiting these factors require careful monitoring due to the potential for adverse outcomes.

• Information Systems Review
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• v.19 no.4
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• pp.157-169
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• 2017

Real option thinking can provide a strategic agility, especially when IT managers consider ERP investment projects. Managing financial and IT risks is critical for the success of ERP investment projects. We examine whether Korean IT managers apply the real option thinking when considering ERP investment projects. On the basis of a survey data collection, we validate hypotheses based on existing literature in IT and finance. Notably, Korean IT managers consider only volatility among financial risk variables and two important IT risk variables, namely, requirement changes and continuous training costs.