• The Journal of Korean Obstetrics and Gynecology
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• v.27 no.4
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• pp.25-42
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• 2014

Objectives: To observe the effects of Herb medication on Polycystic Ovary (PCO) in rats. Methods: Riss (Research Information Sharing Service) was searched for Oriental medicine about PCO on 2000~2014. So, Experimental studies using PCO model induced by Estradiol Valerate (EV) was selected to analyze how effects they were. Consequently, 10 studies published on 2000~2014 were selected to analyze about weight of model and both ovaries, the number aries, the number of follicle and corpus of follicle and corpus luteum, the level of serum Androstenedione (ADD) and total estrogen, the level of Nerve Growth Factor (NGF) and Corticotropin Releasing Factor (CRF), the crossover rate and the number of implantation. Results: Among them, there was significantly difference between treatment group and control group in weight of both ovaries, the number of follicle and corpora lutea, the crossover rate and the number of implantation. Conclusions: The effects of Herb medication was observed on making weight of ovaries with PCO to promote. The study about effect of Herb medication on NGF and CRF with PCOS had to be conducted. The further research have to focus on treatment of subfertility and infertility, that is field showing the advantage of Oriental medicine.

• Parasites, Hosts and Diseases
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• v.61 no.3
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• pp.240-250
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• 2023

The genus Anisakis is among the most significant parasites to public health, as it causes anisakiasis, a parasitic infection in humans resulting from consuming raw or undercooked seafood. Although the infection status of Anisakis in second intermediate hosts, such as marine fishes and cephalopods, and humans have been severally reported in Korea, no information about the definitive host in Korean waters is available. In 2014, 2 adult gastric nematodes were collected from a common minke whale (Balaenoptera acutorostrata) found in the East Sea, Korea. These worms were identified as A. simplex sensu stricto (s.s.) by comparing the mitochondrial COX2 marker with previously deposited sequences. Phylogenetic and phylogeographic analyses of A. simplex (s.s.) worldwide revealed 2 distinct populations: the Pacific population and the European waters population. This is the first report on adult Anisakis and its definitive host species in Korea. Further studies on Anisakis infection in other cetacean species and marine mammals in Korean seas are warranted.

• Nuclear Engineering and Technology
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• v.55 no.3
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• pp.1009-1014
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• 2023

Muon tomography is a useful method for monitoring special nuclear materials (SNMs) such as spent nuclear fuel inside dry cask storage. Multiple Coulomb scattering of muons can be used to provide information about the 3-dimensional structure and atomic number(Z) of the inner materials. Tomography using muons is less affected by the shielding material and less harmful to health than other measurement methods. We developed a muon detector for muon tomography, which consists of a plastic scintillator, 64 long wavelength-shifting (WLS) fibers attached to the top of the plastic scintillator, and silicon photomultipliers (SiPMs) connected to both ends of each WLS fiber. The muon detector can acquire X and Y positions simultaneously using a position determination algorithm. The design parameters of the muon detector were optimized using DETECT2000 and Geant4 simulations, and a muon detector prototype was built based on the results. Spatial resolution measurement was performed using simulations and experiments to evaluate the feasibility of the muon detector. The experimental results were in good agreement with the simulation results. The muon detector has been confirmed for use in a muon tomography system.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.1-6
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• 2021

This study designed an artificial intelligence education program using localized public data as an educational method for improving computational thinking in elementary school students. Program design and development was carried out based on the results of pre-requisite analysis on elementary school students according to the ADDIE model. Based on localized public data, the program was organized to learn the principles of artificial intelligence by utilizing "Machine Learning for Kids" and "Scratch" and to solve problems and improve computational thinking skills through abstracting public data for purpose.Through subsequent research, it is necessary to put this education program into the field and verify the change in students' computational thinking as a result.

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.87-113
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• 2008

The purpose of this paper is to develop standardized metadata elements of e-mail records with respect to international standards based on analyzing the Australian Government Email Metadata Standard(AGEMS) elements and Korean Records Management Metadata Standard including e-mail records. To achieve the goal, we investigated and analyzed ISO15489 and ISO 23081 which are the international standard related to records and metadata of records. Second, a case study related to the features of e-mail records produced in public institutions in Korea was performed. Third, we made a comparative study of Australian Government Email Metadata Standard(AGEMS). With the results, we proposed mandatory and optional metadata elements for managing e-mail records. Also, the DTD of proposed metadata elements were developed. The proposed metadata elements of e-mail was applied to e-mails which were produced from a administrative information system of a local government in Korea.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.428-436
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• 2014

The convergence technology of ICT(Information & Communication Technology) in agriculture is the main key of the future agricultural industry. Recently, many that by using big data it can improve crop growth-circumstance and agricultural Industry. However, the data of crop growth-circumstance has been not shared and operated separately by individual farm. Therefore, it is necessary to build the LOK(Linked Open Knowledge) system for Quality of Farming & Farm product. We research previous studies for big data and development of the corp growth-circumstance using big data system case. Also, we suggest to build LOK system for improving the domestic agricultural industry.

• Journal of the Society of Naval Architects of Korea
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• v.42 no.6 s.144
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• pp.686-697
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• 2005

The current challenge with which most shipyards are faced is to reduce the design time and the time-to-delivery benefits of new information technologies such as ERP, APS, and SCM system. These technologies should integrate the information that flows in the enterprise wide activities. First of all we should maintain control of ship design and product data such as bill of material, product structure, drawing, 30 modeling and manufacturing information for the integration. The product data management (POM) system copes with these requirements. All the product data is stored in POM database and vaults in a structured manner and all the changes of product data are monitored, controlled and recorded. This study discusses how POM system can be implemented in shipyard. The procedure is surveyed to apply a POM system for the ship design data management. This study also presents several examples in order to make a practical guidance for ship POM implementation. Proposed studies can be useful for shipyards planning to adopt POM systems in enterprise wide manner.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.89-97
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• 2021

Blockchain is designed to collect and store the data recorded on the network in one block unit, and is connected and stored back and forth, and its form is similar to how the blocks are connected, so it is called a blockchain. Many companies are trying to popularize blockchain-based services at home and abroad, and blockchains are used in various industries. This study introduces the technical characteristics of the blockchain and deals with application services utilizing the blockchain. Introducing 5 types of blockchain architecture and core technologies and introducing blockchain application services that are used in payment services, blockchain service networks, blockchain real estate platforms, identity verification, cryptocurrency, diamond distribution path tracking, and blog information recording. do. It is expected to increase the understanding of the blockchain and provide usefulness in future blockchain research and service development.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.53-63
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• 2023

This study developed a cognitive impairment predictive model as one of the screening tests for preventing dementia in the elderly by using Automated Machine Learning(AutoML). We used 'Wearable lifelog data for high-risk dementia patients' of National Information Society Agency, then conducted using PyCaret 3.0.0 in the Google Colaboratory environment. This study analysis steps are as follows; first, selecting five models demonstrating excellent classification performance for the model development and lifelog data analysis. Next, using ensemble learning to integrate these models and assess their performance. It was found that Voting Classifier, Gradient Boosting Classifier, Extreme Gradient Boosting, Light Gradient Boosting Machine, Extra Trees Classifier, and Random Forest Classifier model showed high predictive performance in that order. This study findings, furthermore, emphasized on the the crucial importance of 'Average respiration per minute during sleep' and 'Average heart rate per minute during sleep' as the most critical feature variables for accurate predictions. Finally, these study results suggest that consideration of the possibility of using machine learning and lifelog as a means to more effectively manage and prevent cognitive impairment in the elderly.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.1
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• pp.57-62
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• 2017

The purpose of this study is to develop a method for diagnosing the degree of gradual degradation of a reciprocating pump caused by continuous use as a water supply pump in a nuclear power plant. Normally, the progress of such degradation is too slow to be noticed. Hence, it is difficult to determine the degree of degradation using the existing diagnostic methods. In this paper, we propose a new method by which the normal state and the degraded state of the pump can be differentiated, so that the degree of degradation can be identified. First, an emulator was developed using FPGA by providing the parameters of the pump under normal state, so that the emulator generates the information of the pump in the healthy state. Then, by comparing this information with the parameters received from various output sensors of the emulator during the current state, it is possible to identify and measure the degree of gradual degradation. This paper presents some of the results obtained during the development process, and results that show how the emulator operates, by comparing the data collected from an actual pump.