• Title/Summary/Keyword: 방어목표

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Music Teachers' Perceptions of the Music Therapy Curriculum in Special Education Schools (특수학교 음악교과의 운영과 음악치료적 접근에 대한 교사인식)

  • Gu, Sin-Sil;Hwang, Soon-Young
    • Journal of Music and Human Behavior
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    • v.16 no.1
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    • pp.89-117
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    • 2019
  • The purpose of this study was to explore and better understand special education music teachers' perceptions of their music curriculum. For this purpose, we conducted a focus group interview with seven special education music teachers. During the interview, four major themes and 14 sub-themes were identified. The main themes were the following: (a) types of applied activities and the goals of music classes (e.g., activities to be applied in various ways depending on the characteristics of the disability and intended outcome), (b) difficulty in implementing the music curriculum (e.g., lack of fit between textbook and students' chronological ages, lack of time and focus, self-evaluation of performance as a music teacher, (c) therapeutic experiences during music classes (e.g., expectation for positive effects through music therapy, joy of witnessing changes in students, and sense of togetherness), and (d) obstacles to the therapeutic approach of music classes and need for support (e.g., lack of professional knowledge regarding therapeutic approaches and problems with administrators and school environment). Based on these results, problems in implementing the music therapy approach as part of the music curriculum in special education schools are discussed and practical solutions for educators are offered.

A Study on Improvement of Directional Errors for K-MLRS Launcher (천무 발사대 방향성 오류현상 개선에 관한 연구)

  • Kim, Hyeeun;Kim, Minchang;Yu, Hanjun;Bae, Gongmyeong;Oh, Eunbin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.705-713
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    • 2021
  • Because the cage assembly serves as the launch platform, an accurate aim is essential to ensure shooting accuracy for the target. On the other hand, the abnormal rotation of the cage due to the directional errors of the K-MLRS has continuously caused quality problems. The quality problem of weapon systems may have a negative impact on the military's power loss. In this study, improvement plans were derived by examining the defects and analyzing the directional errors of the K-MLRS launcher. In addition, all possible causes of directional errors were derived from the flow diagram for cage directionality. Based on the results, the defense design through the software program was intended to prevent the loss of direction. Through this study, the signal error of the resolver was improved by preventing unspecific signals in the data. Furthermore, the directional judgment method was improved to minimize the impact of data distortion. Lastly, directional storage and verification methods were improved so that data for the cage rotation direction would not be affected by errors. For the design improvement method, the reliability was verified through the system applicability. This study is expected to be a reference for failure analysis and design for similar weapon systems in the future.

A Study on the Performance Model and Measurement Method of the SMEs Information Security Support Policy (중소기업 정보보호 지원 사업 성과모델 및 측정 방법에 관한 연구)

  • Bae, Young-Sik;Jang, Sang-Soo
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.37-52
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    • 2021
  • Due to the spread of COVID-19, it is rapidly changing from face-to-face to non-face-to-face work environments and is changing to a digital work environment that can be accessed anytime, anywhere, providing convenience to all lives. However, the number of breaches, personal information leakage, and technology leakage targeting SMEs that are vulnerable to security continues to increase. Accordingly, the government has been continuously promoting the information security consulting support project for SMEs every year since 2014. Therefore, this study intends to develop a performance model and measurement methodology for continuous and more systematic support and efficient management of information protection support projects in consideration of the importance of information security for SMEs. It is intended to be used as basic data when setting future operational directions and goals. The main method of this study is to derive performance models and indicators for SME information security support projects based on domestic literature, case studies, and survey results, utilize expert advice to verify the developed performance measurement indicators, and use pilot-test questionnaires. Conduct evaluation through surveys. Based on the verified indicators, we would like to present a performance model and measurement index for the information security support project for SMEs.

An Empirical Study on the Cryptocurrency Investment Methodology Combining Deep Learning and Short-term Trading Strategies (딥러닝과 단기매매전략을 결합한 암호화폐 투자 방법론 실증 연구)

  • Yumin Lee;Minhyuk Lee
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.377-396
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    • 2023
  • As the cryptocurrency market continues to grow, it has developed into a new financial market. The need for investment strategy research on the cryptocurrency market is also emerging. This study aims to conduct an empirical analysis on an investment methodology of cryptocurrency that combines short-term trading strategy and deep learning. Daily price data of the Ethereum was collected through the API of Upbit, the Korean cryptocurrency exchange. The investment performance of the experimental model was analyzed by finding the optimal parameters based on past data. The experimental model is a volatility breakout strategy(VBS), a Long Short Term Memory(LSTM) model, moving average cross strategy and a combined model. VBS is a short-term trading strategy that buys when volatility rises significantly on a daily basis and sells at the closing price of the day. LSTM is suitable for time series data among deep learning models, and the predicted closing price obtained through the prediction model was applied to the simple trading rule. The moving average cross strategy determines whether to buy or sell when the moving average crosses. The combined model is a trading rule made by using derived variables of the VBS and LSTM model using AND/OR for the buy conditions. The result shows that combined model is better investment performance than the single model. This study has academic significance in that it goes beyond simple deep learning-based cryptocurrency price prediction and improves investment performance by combining deep learning and short-term trading strategies, and has practical significance in that it shows the applicability in actual investment.

Automation of Regression Analysis for Predicting Flatfish Production (광어 생산량 예측을 위한 회귀분석 자동화 시스템 구축)

  • Ahn, Jinhyun;Kang, Jungwoon;Kim, Mincheol;Park, So-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.128-130
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    • 2021
  • This study aims to implement a Regression Analysis system for predicting the appropriate production of flatfish. Due to Korea's signing of FTAs with countries around the world and accelerating market opening, Korean flatfish farming businesses are experiencing many difficulties due to the specificity and uncertainty of the environment. In addition, there is a need for a solution to problems such as sluggish consumption and price drop due to the recent surge in imported seafood such as salmon and yellowtail and changes in people's dietary habits. in this study, Using the python module, xlwings, it was used to obtain for the production amount of flatfish and to predict the amount of flatfish to be produced later. was used to predict the amount of flatfish to be produced in the future. Therefore, based on the analysis results of this prediction of flatfish production, the flatfish aquaculture industry will be able to come up with a plan to achieve an appropriate production volume and control supply and demand, which will reduce unnecessary economic loss and promote new value creation based on data. In addition, through the data approach attempted in this study, various analysis techniques such as artificial neural networks and multiple regression analysis can be used in future research in various fields, which will become the foundation of basic data that can effectively analyze and utilize big data in various industries.

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Evaluation of Antioxidant and Anti-inflammatory Activities of Stachys Sieboldii MIQ. and Helianthus tuberosus L. of Cultivated in Sunchang-gun (순창산 초석잠과 돼지감자의 항산화 활성 및 항염증 활성 평가)

  • Se-Won Lee;Mina Sin;Tae-Hu Jang;Hyun-Jin Tae;Dae-Geun Kim;Kyeon-Ok Jeong;Jeong-Ho Lee
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2020.08a
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    • pp.84-84
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    • 2020
  • 염증 (Inflammation)은 병원체, 손상된 세포, 자극물질 등으로 인한 손상에 대해 작용하여 조직이나 장기의 손상을 재생하는 작용으로써 신체 방어 기전들 가운데 매우 중요한 역할을 하는 것으로 알려져 있다. 이러한 염증반응이 과다할 경우 각종 염증성 질환 혹은 암 등을 유발하는 원인으로 발전할 수 있어 항염증제의 개발은 전 세계적으로 중요시되고 있다. 선천적 면역을 담당하는 대식세포는 lipopolysaccharide(LPS), 활성산소 (ROS) 등에 의해 자극되어 염증인자 생성에 관여한다. 따라서 본 연구에서는 항염증 소재 개발을 목표로 하며, 국내 천연소재를 활용한 기능성 항염증 소재로 전북 순창군에서 재배된 초석잠(Stachys Sieboldii MIQ.)과 돼지감자 (Helianthus tuberosus L.)를 이용하여 항산화 활성을 평가하고자 하였으며, 대식세포주를 활용한 세포독성 및 항염증 활성에 대한 효능을 확인하고자 하였다. 본 연구는, 전북 순창 지역에서 재배 된 초석잠과 돼지감자를 사용하여 각 조건의 추출 용매, 온도, 시간별 추출물의 Total polyphenol 함량 평가를 통한 최적 추출조건 선정을 진행하고, 선정된 추출조건의 추출물의 항산화 활성을 측정하기 위해 DPPH & ABTS radical scavenging activity 분석 및 Total flavonoids 함량 분석을 통해 항산화 효능 평가를 진행하였다. 또한 항염증 소재로의 활용을 위해 대식세포인 Raw 264.7을 사용하여 농도별 MTT assay를 진행하여 세포독성 평가를 진행하였고, Nitric oxide (NO) 생성억제 효능을 확인하여 항염증 활성을 평가하였다. 실험 결과, Total polyphenol 함량 분석을 통해 최적 추출조건이 선정된 초석잠 (25℃, 주정 60%, 3 h), 돼지감자 (25℃, 주정 40%, 1 h)은 최적 조건에서 약 58 mg GAE/g 및 158 mg GAE/g의 총 폴리페놀 함량을 보였으며, DPPH & ABTS radical scavenging activity 및 Total flavonoids 함량 분석한 결과, 초석잠이 돼지감자보다 더 높은 항산화 활성을 나타내었다. 대식세포 실험에서의 추출물 처리군의 세포독성 측정 결과, 100 ug/mL 이내의 농도에서 독성활성이 나타나지 않음을 확인하였고, Nitric oxide (NO) 생성 억제활성 측정을 통해 LPS 처리군 대비 접종량 100 ug/mL 기준 각각 초석잠 약 47%, 돼지감자 약 49% 수준의 항염증 활성을 확인하였다.

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Proximal Policy Optimization Reinforcement Learning based Optimal Path Planning Study of Surion Agent against Enemy Air Defense Threats (근접 정책 최적화 기반의 적 대공 방어 위협하 수리온 에이전트의 최적 기동경로 도출 연구)

  • Jae-Hwan Kim;Jong-Hwan Kim
    • Journal of the Korea Society for Simulation
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    • v.33 no.2
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    • pp.37-44
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    • 2024
  • The Korean Helicopter Development Program has successfully introduced the Surion helicopter, a versatile multi-domain operational aircraft that replaces the aging UH-1 and 500MD helicopters. Specifically designed for maneuverability, the Surion plays a crucial role in low-altitude tactical maneuvers for personnel transportation and specific missions, emphasizing the helicopter's survivability. Despite the significance of its low-altitude tactical maneuver capability, there is a notable gap in research focusing on multi-mission tactical maneuvers that consider the risk factors associated with deploying the Surion in the presence of enemy air defenses. This study addresses this gap by exploring a method to enhance the Surion's low-altitude maneuvering paths, incorporating information about enemy air defenses. Leveraging the Proximal Policy Optimization (PPO) algorithm, a reinforcement learning-based approach, the research aims to optimize the helicopter's path planning. Visualized experiments were conducted using a Surion model implemented in the Unity environment and ML-Agents library. The proposed method resulted in a rapid and stable policy convergence for generating optimal maneuvering paths for the Surion. The experiments, based on two key criteria, "operation time" and "minimum damage," revealed distinct optimal paths. This divergence suggests the potential for effective tactical maneuvers in low-altitude situations, considering the risk factors associated with enemy air defenses. Importantly, the Surion's capability for remote control in all directions enhances its adaptability in complex operational environments.

The success and failure of non-regular workers' struggles and their effects on organizational strength (비정규직 노동자 투쟁의 승패와 조직력 변화)

  • Ch, Donmoon
    • Korean Journal of Labor Studies
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    • v.17 no.1
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    • pp.139-176
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    • 2011
  • Non-regular workers came to the fore while working class formation was in retreat along with the democratic labor movement of regular workers. The formation of principal agents, however, is yet to occur. Then, why non-regular workers' struggles could not yield a consequence in that regard? What kind of factors are to determine the outcome of the struggles and how do they do it? It is the aim of this study to answer those questions. In contrast with regular workers' struggles, non-regular workers' struggles tend to break out in response to capitalist offensives, rely on atypical and, often, extreme measures of struggle rather than strike in the form of work stoppage, drag out for too long, and appeal for social solidarity outside when the solidarity of regular workers is not available. Non-regular workers' struggles tend to end up with failure rather than success, and with weakening rather than strengthening of their organizational strength. So as to overcome the tendency to fail, non-regular workers' struggles need regular workers' solidarity in addition to their own strong mobilization power, while social solidarity or positional power could substitute for regular workers' solidarity in some cases. So as to build up their organizational strength, non-regular workers' struggles should win victories in the struggles, while a victory could turn into a trap in the case of conversion. Both regular workers' solidarity and the internal integration of the struggles are two foremost important factors in achieving the victory of struggles and the building-up of organizational strength. Those who have got involved in struggles are from the best organized sector among all the non-regular workers. As they have gone through weakening of organizational strength, it becomes more difficult for non-regular workers to form principal agents. Without non-regular workers' struggles, however, the capitalist offensives must have carried the day. In that sense, non-regular workers' struggles did a role in at least detaining capitalist offensives, if not stopping them. The practical implication of non-regular workers' struggles is that, if non-regular workers redefine the ultimate goal of their struggles as the formation of their principal agents for working class formation, it would be a strategically rational choice to identify the strategic objective of struggles with the maintaining and strengthening of their organizational strength rather than the achievement of their immediate demands.

Molecular cloning and characterization of β-1,3-glucanase gene from Zoysia japonica steud (들잔디로부터 β-1,3-glucanase 유전자의 클로닝 및 특성분석)

  • Kang, So-Mi;Kang, Hong-Gyu;Sun, Hyeon-Jin;Yang, Dae-Hwa;Kwon, Yong-Ik;Ko, Suk-Min;Lee, Hyo-Yeon
    • Journal of Plant Biotechnology
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    • v.43 no.4
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    • pp.450-456
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    • 2016
  • Rhizoctonia leaf blight (large patch) has become a serious problem in Korean lawn grass, which is extremely hard to treat and develops mostly from the roots of lawn grass to wither it away. Rhizoctonia leaf blight (large patch) is caused by Rhizoctonia solani AG2-2 (IV). To develop zoysia japonica with strong disease tolerance against this pathogenic bacterium, ${\beta}-1,3-glucanase$ was cloned from zoysia japonica, which is one of the PR-Proteins known to play a critical role in plant defense reaction. ${\beta}-1,3-glucanase$ is known to be generated within the cells when plant tissues have a hypersensitive reaction due to virus or bacterium infection and secreted outside the cells to play mainly the function of resistance against pathogenic bacteria in the space between the cells. This study utilized the commonly preserved part in the sequence of corn, wheat, barley, and rice which had been researched for their disease tolerance among the ${\beta}-1,3-glucanase$ monocotyledonous plants. Based on the part, degenerate PCR was performed to find out the sequence and full-length cDNA was cloned. E.coli over-expression was conducted in this study to mass purify target protein and implement in vitro activation measurement and antibacterial test. In addition, to interpret the functions of ZjGlu1 gene, each gene-incorporating plant transformation vectors were produced to make lawn grass transformant. Based on ZjGlu1 protein, antibacterial activity test was conducted on 9 strains. As a result, R. cerealis, F. culmorum, R.solani AG-1 (1B), and T. atroviride were found to have antibacterial activity. The gene-specific expression amount in each organ showed no huge difference in the organs based upon the transformant and against 18s gene expression amount.

Efficacy of UN's Sanctions on North Korea's Nuclear and North Korea's Regime Survival Strategy (유엔의 북핵 대북제재조치의 실효성과 북한의 체제생존전략)

  • KIM, JOO-SAM
    • Korea and Global Affairs
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    • v.2 no.1
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    • pp.69-92
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    • 2018
  • North Korea conducted a total of six nuclear tests from the 1st test of 2006 to September, 2017. North Korea developed an armed forces security strategy at the level of regime protection and defense to respond to U.S. hostile policy. However, it is certain that strategic goals of North Korea's nuclear test were to overcome a crisis in North Korea's regime through US-North Korea negotiation and complete nuclear armed forces for socialist unification on the Korean Peninsula. North Korea's continuous nuclear test is a direct factor in threatening peace on the Korean Peninsula and an indirect factor in security dynamics of Northeast Asia. The U.N. Security Council has enforced sanctions against North Korea through six resolutions against North Korea's reckless nuclear test for the past 10 years. However, Kim Jong-Un's regime is in a position to stick to simultaneous pursuit of nuclear and economic development in spite of anti-North sanction of international society including U.N. and U.S.A. It is understood that North Korea was stimulated to conduct intense nuclear test as U.N. and U.S.A's anti-North sanction was not effective on North Korea. Full-scale and local wars are expected as military options, one of anti-North sanctions of the Trump administration. The Trump administration has attempted diplomatic pressure strategy as a secondary boycott unlike previous administrations. Nevertheless, North Korea has stood against U.N. and U.S.A's anti-North sanction with brinkmanship tactics, announcing full-scale military confrontation against U.S. It is judged that North Korea will pursue simultaneous nuclear weapons and economic development in terms of regime survival. North Korea will have less strategic choices in that its regime may collapse because of realistic national strategy between U.S.A. and China.