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      • KCI등재

        대학생들의 내현적 자기애와 SNS 중독경향성의 관계

        신현민(Hyunmin Shin),조용주(Yongjoo Jo) 학습자중심교과교육학회 2022 학습자중심교과교육연구 Vol.22 No.21

        목적 본 연구는 내현적 자기애 성향을 보이는 대학생들이 SNS 중독경향성에 이르게 되는 과정에서 거부민감성과 경험회피의 유의미한 매개효과가 있는지의 여부와 이 변인들 간 최적화된 경로모델의 양상을 확인하고자 하였다. 방법 이를 위해 온라인을 통하여 전국의 18세에서 28세 사이의 대학생 400명을 대상으로 자료를 수집하였고, 변인들 간 관계를 추정하기 위해 SPSS 21.0을 사용하여 상관분석을 하고, 경로모형 검증을 위해서 Mplus 7.0을 사용하여 구조방정식 모델링을 사용하였다. 결과 본 연구의 주요결과는 다음과 같다. 첫째, 내현적 자기애, 거부민감성, 경험회피, SNS 중독경향성 간에는 유의미한 정적상관이 나타났다. 둘째, 각 변인 간 가능한 경로모형의 양상을 비교하여 가장 적합한 모형을 확인한 결과, 연구모형이 더 적합한 것으로 나타났고, 내현적 자기애에서 SNS 중독경향성 경로를 제외한 수정모형을 최종모형으로 선정하였다. 최종모형 분석 결과, 모든 직접경로가 유의하였다. 셋째, 내현적 자기애에서 SNS 중독경향성으로 가는 경로에서 거부민감성 및 경험회피의 단순 매개효과가 각각 유의미하게 나타났다. 넷째, 내현적 자기애는 거부민감성과 경험회피를 순차적으로 매개하여 SNS 중독경향성에 영향을 미치는 것으로 확인되었다. 결론 본 연구는 SNS 중독경향성에 영향을 미치는 변인들을 통해 대학생 상담의 개입방향과 필요성을 확인하였다. Objectives The purpose of this study was to examine relation between covert narcissism and SNS addiction tendency mediated by the rejection sensitivity and experiential avoidance. Methods For this purpose, data were collected from 400 Korean college students aged between 18 and 28 nationwide via online and data were analyzed using correlation analysis with SPSS 21.0 and Structural Equation Modeling(SEM) with Mplus 7.0 to test the theoretical model. Results The results of the study are as follows. First, there was a significant positive correlation between covert narcissism, rejection sensitivity, experiential avoidance, and SNS addiction tendency. Second, by comparing the possible path models among the variables, we found that the partial-mediation model is more appropriate than full-mediation model. And, we removed a path from covert narcissism to SNS addiction tendency because the path is not signficant thus the edited model was chosen as the final model. In the path analysis of the final model, all the paths among variables were significant. Third, there was a single mediating effect of rejection sensitivity and experiential avoidance on the path from covert narcissism to SNS addiction tendency, respectively. Fourth, covert narcissism has impact on the SNS addiction tendency through consecutive mediation of rejection sensitivity and experiential avoidance. Conclusions This study confirmed the direction and necessity of intervention in college student counseling through variables affecting SNS addiction tendency.

      • KCI등재

        정보보호 기업의 경영성과에 미치는 영향 분석: 조직 및 혁신 역량의 매개 효과의 관점에서

        신현민 ( Hyunmin Shin ),김인재 ( Injai Kim ) 한국지식경영학회 2021 지식경영연구 Vol.22 No.4

        정보보호 기업은 1990년도 후반에서 2000년도 초반에 설립되었는데 다른 주요한 기반 산업에 비하면 그 역사가 휠씬 짧다. 그럼에도 불구하고 정보보호 산업은 급속하게 발전하고 있다. 4차 산업혁명과 관련한 첨단 기술의 발전에 힘입어 정보보호 산업의 비중은 점점 크질 것으로 예상된다. 2019년에 발생한 COVID-19가 2020년 전세계로 확산되면서 비대면 서비스와 디지털 전환 가속되었다. 이용자에 대한 사이버 위협도 증가되고 있어 분야별 차별화된 보안이 필요한 상황이다. 하지만 정보보호 인력의 부족, 국내 기업의 보안 역량의 미흡, 국내 정보보호 시장 협소 등으로 인하여 새로운 사이버보안 위협을 대응하기에는 한계가 있다. 본 연구는 정보보호 기업의 외부 환경 요인인 정부의 정보보호 제도의 운영, 정부의 영향력, 정부의 지원, 정보보호 기업간 파트너십 등과, 내부 환경 요인인 최고경영층의 지원, 재무상태, 인적자원 등이 조직 역량, 혁신 역량에 미치는 영향을 분석하였다. 또한 조직 역량, 혁신 역량이 재무적 성과와 비재무적 성과에 영향을 미치는지를 실증 데이터를 이용하여 분석하였다. 본 연구의 결과는 정보보호 정책과 시사점을 제시하고 정보보호 산업의 경쟁력을 강화하는 기초자료로 활용될 수 있을 것이다. Information security companies were established in earnest from the mid-late 1990s to early 2000s, far shorter than other national key industries. Nevertheless, the information security industry has made rapid progress. It is expected that the proportion of the information security industry will increase rapidly with the development of advanced technology along with the 4th industrial revolution. As COVID-19, which occurred at the end of 2019, spreads around the world in 2020, non-face-to-face services and digital transformation are accelerating, and cyber threats to users are also increasing. However, there are limitations in responding to new Cyber Security threats due to the shortage of information protection manpower, insufficient security capabilities of domestic companies, and the narrow domestic information protection market. This study examines the external environmental factors of information security companies such as government information protection system operation, government influence, government support, partnership between information security companies, and internal environmental factors such as top management support, financial status, human resources, organizational capability, This study was conducted using empirical data to analyze whether it affects innovation capability and whether organizational capability and innovation capability affect financial and non-financial performance. The results of this study can be used as basic data to suggest policies and implications for information security, and to strengthen the competitiveness of the information security industry.

      • 실시간 온도 측정법을 이용한 피스톤 온도에 관한 연구

        신현민(Hyunmin Shin),심대곤(Daegon Sim),임종덕(Jongdeok Im) 한국자동차공학회 2013 한국자동차공학회 학술대회 및 전시회 Vol.2013 No.11

        As fuel economy, performance and emission should be greatly increased in development of the engine to meet recent stringent emission regulations, the design of the piston requires mostly fuel economy enhancement by reducing friction and lower inertia by reducing mass and thickness but also thermal durability for high power. The piston’s temperatures in various points were measured using ratio telemetry monitoring system. In this study, the piston temperatures were measured with and without oil jet which is nowadays adapted for recent high power engine and different oil jet targeting and according to engine coolant temperature, oil temperature and EMS parameters such as spark timing, air fuel ratio, TQ transient, to suggest fundamental data for developing engine.

      • H₂ Control Based on LPV for Speed Control of Permanent Magnet Synchronous Motors

        Hyunmin Hwang,Youngwoo Lee,Donghoon Shin,Chung Choo Chung 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10

        This paper presents H₂ control based on linear parameter varying (LPV) systems for speed control of permanent magnet synchronous motors(PMSMs). PMSMs model is rewritten in LPV systems which depend on online accessible time varying parameters given by real time information. Since the PMSM nonlinear model can be transformed into LPV systems, we design H₂ control with gain scheduling. The proposed method obtains both improvement of transient response in the speed control and reduction of energy consumption. Finally, simulation results are performed to validate that the proposed method has good performance of transient response and efficient energy consumption as compared with conventional field oriented control.

      • KCI등재

        Underwater Laser Cutting of Thick Stainless Steel in Various Cutting Directions for Application to Nuclear Decommissioning

        Shin, Jae Sung,Oh, Seong Y.,Park, Seung-Kyu,Kim, Taek-Soo,Park, Hyunmin,Lee, Jonghwan Korean Radioactive Waste Society 2021 방사성폐기물학회지 Vol.19 No.3

        For application in nuclear decommissioning, underwater laser cutting studies were conducted on thick stainless-steel plates for various cutting directions using a 6 kW fiber laser. For cutting along the horizontal direction with horizontal laser irradiation, the maximum cutting speed was 110 mm·min<sup>-1</sup> for a 48 mm thick stainless-steel plate. For cutting along the vertical direction with horizontal laser irradiation, a maximum speed of 120 mm·min<sup>-1</sup> was obtained for the same thickness, which confirmed that the cutting performance was similar but slightly better. Moreover, when cutting with vertically downward laser irradiation, the maximum cutting speed was 120 mm·min<sup>-1</sup> for a plate of the same thickness. Thus, the cutting performance for vertical irradiation was nearly identical to that for horizontal irradiation. In conclusion, it was possible to cut thick stainless-steel plates regardless of the laser irradiation and cutting directions, although the assist gas rose up due to buoyancy. These observations are expected to benefit laser cutting procedures during the actual dismantling of nuclear facilities.

      • KCI등재

        Effect of Thoracic Joint Mobilization and Breathing Exercise on The Thickness of The Diaphragm, Expansion of The Chest, Respiratory Function, and Endurance in Chronic Stroke Patients

        Hyunmin Moon,Jang-Hoon Shin,이완희 물리치료재활과학회 2023 Physical therapy rehabilitation science Vol.12 No.3

        Objective: This study was performed to investigate the effects of thoracic joint mobilization and breathing exercises on diaphragmatic thickness, chest expansion, respiratory function, and endurance in patients with chronic stroke. Design: Randomized controlled trialMethods: The study included 24 chronic stroke patients who were randomly divided into two groups. The experimental group (12 people) performed 15 minutes of thoracic joint mobility exercises and 15 minutes of breathing exercises, three times a week for 6 weeks, 30 minutes each time. The control group (12 people) received 15 minutes of conservative physical therapy and 15 minutes of breathing exercises, 3 times a week for 6 weeks, 30 minutes per session, the same as the experimental group. The experimental and control groups performed the same breathing exercises. To assess training effectiveness, changes in diaphragm thickness, chest expansion, respiratory function, and endurance were measured. Results: As a result, the experimental group exhibited significant improvements in diaphragm thickness, chest expansion, and respiratory function. The endurance mode also displayed significant enhancement (p<0.05), a finding consistent with the control group. However, the experimental group displayed more substantial improvements in non-affected diaphragm thickness and thoracic expansion compared to the control group (p<0.05). Conclusions: Drawing from these findings, breathing exercise which combine thoracic mobilization, will be actively utilized in addition to physical therapy interventions in clinical trials as an effective intervention method.

      • Cutting performance of thick steel plates up to 150 mm in thickness and large size pipes with a 10-kW fiber laser for dismantling of nuclear facilities

        Shin, Jae Sung,Oh, Seong Yong,Park, Hyunmin,Chung, Chin-Man,Seon, Sangwoo,Kim, Taek-Soo,Lee, Lim,Lee, Jonghwan Elsevier 2018 Annals of nuclear energy Vol.122 No.-

        <P><B>Abstract</B></P> <P>The cutting performance of thick steel plates and large size pipes with a 10 kW fiber laser was studied for the dismantling of nuclear facilities. First, thick steel plates of up to 100 mm were tried to be cut at a high speed. For the thickness of 100 mm, both stainless steel and carbon steel plates were cut at maximum cutting speeds of ∼30 mm/min. And narrow kerf widths of less than 5 mm were obtained for all cutting tests. Second, a 150-mm thick stainless steel plate near the cutting thickness limit was attempted to be cut. The specimen was able to be cut even with a low cutting speed of 3 mm/min. To the best of our knowledge, this thickness is the largest among the published reports with a laser power of 10 kW. And this corresponds to a cutting capability in which most thick structures in a nuclear reactor can be cut. In addition, large size stainless steel pipes were also attempted to be cut. For a 165 mm diameter pipe, it was possible to be cut at high speed by one scan at a speed of 50 mm/min and round trip scan at a speed of 100 mm/min. This result implies that high-speed cutting was also possible for most pipe-type components inside the nuclear reactor. As a result, our 10-kW laser cutting system showed very efficient cutting performance in terms of the cutting speed and thickness. Moreover, the cuttings showed narrow kerf widths of less than 5 mm even for very thick steel of up to 150 mm in thickness. In the future, it is expected that the results of this work will contribute to cutting thick metal structures as basic research data in the dismantling of nuclear facilities using a laser. In addition, it is also expected that this work will contribute to other industrial fields requiring a thick steel cutting technique.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Cutting of thick steel plates and large pipes with a 10 kW fiber laser was studied. </LI> <LI> Stainless steel and carbon steel plates of up to 100 mm were cut at a high speed. </LI> <LI> A 150-mm thick stainless steel plate was also able to be cut. </LI> <LI> A 165 mm diameter pipe was possible to be cut. </LI> <LI> Our system showed efficient cutting performance in terms of speed and thickness. </LI> </UL> </P>

      • Laser cutting of steel plates up to 100 mm in thickness with a 6-kW fiber laser for application to dismantling of nuclear facilities

        Shin, Jae Sung,Oh, Seong Yong,Park, Hyunmin,Chung, Chin-Man,Seon, Sangwoo,Kim, Taek-Soo,Lee, Lim,Lee, Jonghwan Elsevier 2018 Optics and lasers in engineering Vol.100 No.-

        <P><B>Abstract</B></P> <P>A cutting study with a high-power ytterbium-doped fiber laser was conducted for the dismantling of nuclear facilities. Stainless steel and carbon steel plates of various thicknesses were cut at a laser power of 6-kW. Despite the use of a low output of 6-kW, the cutting was successful for both stainless steel and carbon steel plates of up to 100 mm in thickness. In addition, the maximum cutting speeds against the thicknesses were obtained to evaluate the cutting performance. As representative results, the maximum cutting speeds for a 60-mm thickness were 72 mm/min for the stainless steel plates and 35 mm/min for the carbon steel plates, and those for a 100-mm thickness were 7 mm/min for stainless steel and 5 mm/min for carbon steel plates. These results show an efficient cutting capability of about 16.7 mm by kW, whereas other groups have shown cutting capabilities of ∼10 mm by kW. Moreover, the maximum cutting speeds were faster for the same thicknesses than those from other groups. In addition, the kerf widths of 60-mm and 100-mm thick steels were also obtained as another important parameter determining the amount of secondary waste. The front kerf widths were ∼1.0 mm and the rear kerf widths were larger than the front kerf widths but as small as a few millimeters.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A cutting study with a high power ytterbium-doped fiber laser was conducted for application to dismantling of nuclear facilities. </LI> <LI> Stainless steel and carbon steel plates of various thicknesses were cut at a laser power of 6-kW. </LI> <LI> Despite the use of a low output of 6-kW, the cutting was successful for both stainless steel and carbon steel plates up to 100 mm in thickness. </LI> <LI> The cutting capability was ∼16.7 mm by kW which is much higher than commonly known value, and the maximum cutting speeds were faster for the same thicknesses than those from other groups. </LI> </UL> </P>

      • KCI등재

        강화학습을 이용한 트레이딩 전략

        조현민(Hyunmin Cho),신현준(Hyun Joon Shin) 한국산학기술학회 2021 한국산학기술학회논문지 Vol.22 No.1

        최근 컴퓨터 기술이 발전하면서 기계학습 분야에 관한 관심이 높아지고 있고 다양한 분야에 기계학습 이론을 적용하는 사례가 크게 증가하고 있다. 특히 금융 분야에서는 금융 상품의 미래 가치를 예측하는 것이 난제인데 80년대부터 지금까지 기술적 및 기본적 분석에 의존하고 있다. 기계학습을 이용한 미래 가치 예측 모형들은 다양한 잠재적 시장변수에 대응하기 위한 모형 설계가 무엇보다 중요하다. 따라서 본 논문은 기계학습의 하나인 강화학습 모형을 이용해 KOSPI 시장에 상장되어 있는 개별 종목들의 주가 움직임을 정량적으로 판단하여 이를 주식매매 전략에 적용한다. 강화학습 모형은 2013년 구글 딥마인드에서 제안한 DQN와 A2C 알고리즘을 이용하여 KOSPI에 상장된 14개 업종별 종목들의 과거 약 13년 동안의 시계열 주가에 기반한 데이터세트를 각각 입력 및 테스트 데이터로 사용한다. 데이터세트는 8개의 주가 관련 속성들과 시장을 대표하는 2개의 속성으로 구성하였고 취할 수 있는 행동은 매입, 매도, 유지 중 하나이다. 실험 결과 매매전략의 평균 연 환산수익률 측면에서 DQN과 A2C이 대안 알고리즘들보다 우수하였다. With the recent developments in computer technology, there has been an increasing interest in the field of machine learning. This also has led to a significant increase in real business cases of machine learning theory in various sectors. In finance, it has been a major challenge to predict the future value of financial products. Since the 1980s, the finance industry has relied on technical and fundamental analysis for this prediction. For future value prediction models using machine learning, model design is of paramount importance to respond to market variables. Therefore, this paper quantitatively predicts the stock price movements of individual stocks listed on the KOSPI market using machine learning techniques; specifically, the reinforcement learning model. The DQN and A2C algorithms proposed by Google Deep Mind in 2013 are used for the reinforcement learning and they are applied to the stock trading strategies. In addition, through experiments, an input value to increase the cumulative profit is selected and its superiority is verified by comparison with comparative algorithms.

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