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Derivation of Representative Emotions Through Analysis of Perceived Frequency Profiles of Various Emotions According to Levels of Cognitive Well-Being (인지적 안녕감 수준에 따른 다양한 감정의 지각된 빈도 프로파일 분석을 통한 대표 감정 도출)

  • Dahye Han;Guk-Hee Lee
    • Science of Emotion and Sensibility
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    • v.26 no.3
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    • pp.83-100
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    • 2023
  • This study determines whether the perception of the frequency of experiencing positive, negative, and surprise emotions changes according to the level of cognitive well-being. Furthermore, we determined practical means to analyze which emotions can be managed in daily life as an effective means of improving overall life satisfaction by identifying representative specific emotions that strongly predict the level of cognitive well-being. To this end, the between-subjects factorial design is adopted to measure the frequency of emotional experiences according to the level of cognitive well-being in 438 university undergraduate students. For cognitive well-being, the life satisfaction scale (SWLS) was used, and the PANAS-X scale was used to measure emotional frequency. As a result, first, the group with high cognitive well-being displays a higher frequency of positive and surprise emotional experiences and a lower frequency of negative emotional experiences than the group with low cognitive well-being. Second, the results confirm that representative emotions affecting cognitive well-being included 8 positive emotions, 7 negative emotions, and 1 surprise emotion. Among them, positive emotions include "happy" and "confident," negative emotions include "dissatisfied with self" and "disgusted with self," and surprise emotions include words such as "amazed." Therefore, we can conclude that the representative emotions are those with the greatest influence on cognitive well-being. Therefore, increasing the frequency of specific emotions (e.g., happy, confident, and surprise) and decreasing the frequency of others (e.g., dissatisfied with self and disgusted with self) could be effective in improving cognitive well-being than unconditionally examining emotions experienced in daily life.

The Effects of Authentic Leadership on Psychological Well-being and Job Performance - Focused on Airline Flight Attendants (진정성리더십이 심리적 웰빙과 직무성과에 미치는 영향 - 항공사 승무원을 중심으로)

  • Ko, Seon-Hee
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.283-289
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    • 2019
  • This study intends to examine how authentic leadership affects psychological well-being and job performance among flight attendants. To test hypotheses, this study performed survey to flight attendants of big airlines in Korea for about two months from October 1 to December 5, 2018. 200 copies of the questionnaire was distributed, and 180 were collected. Among them, 21 copies where many questions were unanswered or not very seriously answered were discarded. So, 159 copies in total were used for analysis. Statistical analysis was done with SPSS 22.0 and AMOS 21.0. The results are as follows. First, balanced information processing, self-awareness, self-awareness have significant effect on psychological well-being, while relational transparency have not. Second, psychological well-being have significant effect on job performance. Consequently, all the hypotheses in this study except for hypothesis 1-3 were adopted.

Study on Electro-Mechanical Characteristics of Array Type Capacitive Pressure Sensors with Stainless Steel Diaphragm and Substrate (스테인리스 강 박막 및 기판을 이용한 배열형 정전용량 압력센서의 전기 기계적 특성연구)

  • Lee, Heung-Shik;Chang, Sung-Pil;Cho, Chong-Du
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.30 no.11 s.254
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    • pp.1369-1375
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    • 2006
  • In this work, mechanical characteristics of stainless steel diaphragm have been studied as a potential robust substrate and a diaphragm material for micromachined devices. Lamination process techniques combined with traditional micromachining processes have been adopted as suitable fabrication technologies. To illustrate these principles, capacitive pressure sensors based on a stainless steel diaphragm have been designed, fabricated and characterized. The fabrication process for stainless steel micromachined devices keeps the membrane and substrate being at the environment of 8.65MPa pressure and $175^{\circ}C$ for a half hour and then subsequently cooled to $25^{\circ}C$. Each sensor uses a stainless steel substrate, a laminated stainless steel film as a suspended movable plate and a fixed, surface micromachined back electrode of electroplated nickel. The finite element method is adopted to investigate residual stresses formed in the process. Besides, out-of-plane deflections are calculated under pressures on the diaphragm. The sensitivity of the device fabricated using these technologies is 9.03 ppm $kPa^{-1}$ with a net capacitance change of 0.14 pF over a range 0$\sim$180 kPa.

A Study on Selection of Gas Metal Arc Welding Parameters of Fillet Joints Using Neural Network (신경회로망을 이용한 필릿 이음부의 가스메탈 아크용접변수 선정에 관한 연구)

  • 문형순;이승영;나석주
    • Journal of Welding and Joining
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    • v.11 no.4
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    • pp.44-56
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    • 1993
  • The arc welding processes are substantially nonlinear, in addition to being highly coupled multivariable systems, Frequently, not all the variables affecting the welding quality are known, nor may they be easily quantified. From this point of view, decoupling between the welding parameters from the welding quality is very difficult, which makes it also difficult to control the welding parameters for obtaining the desired welding quality. In this study, a neural network based on the backpropagation algorithm was implemented and adopted for the selection of gas metal arc welding parameters of the fillet joint, that is, welding current, arc voltage and welding speed. The performance of the neural network for modeling the relationship between the welding quality and welding parameters was presented and evaluated by using the actual welding data. To obtain the optimal neural network structure, various types of the neural network structures were tested with the experimental data. It was revealed that the neural network can be effectively adopted to select the appropriate gas metal arc welding parameter of fillet joints for a given weld quality.

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A Study on an Transmission Right Issuance Quantity Assessment Method by using Power Transfer Distribution Factor(PTDF) under FlowGate Right(FGR) (FlowGate Right(FGR) 도입 시 Power Transfer Distribution Factor(PTDF)를 이용한 송전권 계약용량 산정 방법 연구)

  • Baeck, Woong-Ki;Bang, Young-Sun;Chun, Yeong-Han;Kim, Jung-Hoon;Kwak, No-Hong;Lee, Baek-Seok
    • Proceedings of the KIEE Conference
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    • 2005.07a
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    • pp.861-863
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    • 2005
  • LMP based congestion management method is suggested as an effective tool, because network congestion can be handled by energy price. It is now being widely used in the North American Electricity Markets. Among them, FGR(Flow-gate rights) is considered to be appropriate for our system, as power flow through the congested line is unidirectional and congestion occurs in the known place. In the CBP market, hedging through transmission right is not necessary even though location pricing system is adopted, because there are no risks in the energy price. Rut, transmission rights should be adopted in the advanced market. Key issue when implementing FGR is how to decide transmission right issuance quantify. This paper deals with a method to decide transmission right issuance quantity by using power. Transfer Distribution Factor(PTDF).

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Anticipatory Generation Control of Fossil Power Plant for Large and Rapid Recurring Load Fluctuations (부하변동이 심한 화력발전소의 예상 발전 제어)

  • 박영문;박종근;김재철;김봉희
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.35 no.6
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    • pp.237-245
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    • 1986
  • Most fossil steam generating units are currently being designed for base load operation and are not therefore generally suitable for large and rapid recurring load fluctuations. In particular the control systems adopted for such units are not adequate for the severe recurrent load fluctuations. In particular the control systems adopted for such units are not adequate for the severe recurrent load fluctuations that are expected by the plant supplying the power requirements of the electric are furnaces and rolling mills employed by the steel industry. This paper presents a feasible Anticipatory Control Algorithm which ensures that the fossil fuel fired plant can meet such severe requirements from the control point of view. Details of such a control algorithm and its dynamic simulation on a sample power system are also presented.

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A Study of the Competitive Factors of ICT Venture and SMEs in the Global Digital Ecosystem (벤처·중소 ICT 기업의 디지털 생태계에서의 글로벌 경쟁력 요인 연구)

  • Lee, Kae Soo;Yoon, Heon-Deok
    • Journal of Information Technology Services
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    • v.15 no.1
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    • pp.1-18
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    • 2016
  • Recently, in the bio-field success stories of ventures through a biosimilar technology is being excavated. but the growth of ICT industry has been stagnant since reaching a boom in the dissemination of early high-speed internet in 2000s. The purpose of this study is to explore the factors of change of business model and business strategy of ICT ventures and SMEs with the evolution of the digital ecosystem, and to drive the factors to be competitive on the global value chain. The researcher selected an entreprenuership, market-innovation orientation, technology-innovation orientation, and Administration-innovation orientation as internal factors influencing the global competence and healthiness of the ecosystem as external factors. The researcher applied samples of 94 ICT Venture and SMEs to a research model, and adopted 5 hypotheses. The researcher believes that only a few hypotheses were adopted because it takes time for overall innovation orientation of ICT Venture and SMEs to result in the real global competence as the their innovation orientation is still on the level of domestic market. And the researcher also thinks that only healthiness of the ecosystem affected management performances because the companies' performances of the last 3 years were so weak that the correlation between innovation orientation of each company and the performances were not big enough.

A Study on the Improvement of Vehicle Ride Comfort by Genetic Algorithms (유전자 알고리즘을 이용한 차량 승차감 개선에 관한 연구)

  • 백운태;성활경
    • Transactions of the Korean Society of Automotive Engineers
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    • v.6 no.4
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    • pp.76-85
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    • 1998
  • Recently, Genetic Algorithm(GA) is widely adopted into a search procedure for structural optimization, which is a stochastic direct search strategy that mimics the process of genetic evolution. This methods consist of three genetics operations maned selection, crossover and mutation. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GA, being zero-order method, is very simple. So, they can be easily applicable to wide area of design optimization problems. Also, owing to multi-point search procedure, they have higher probability of converge to global optimum compared to traditional techniques which take one-point search method. In this study, a method of finding the optimum values of suspension parameters is proposed by using the GA. And vehicle is modelled as planar vehicle having 5 degree-of-freedom. The generalized coordinates are vertical motion of passenger seat, sprung mass and front and rear unsprung mass and rotate(pitch) motion of sprung mass. For rapid converge and precluding local optimum, share function which distribute chromosomes over design bound is introduced. Elitist survival model, remainder stochastic sampling without replacement method, multi-point crossover method are adopted. In the sight of the improvement of ride comfort, good result can be obtained in 5-D.O.F. vehicle model by using GA.

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A study of seasonal variation of the residual flow before and after Saemangeum reclamation (새만금간척전후의 잔차류의 계절변화에 관한연구(농지조성 및 농어촌정비))

  • 신문섭
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2000.10a
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    • pp.47-53
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    • 2000
  • Saemangeum coastal area is being constructed the 33km sea dike and 40,000ha reclamation area. The purpose of this study is to find the residual circulations in spring before and after the dike construction by a robust diagnostic and prognostic numerical model. Heat flux at the sea surface in May was adopted on the basis of the daily inflow of solar radiation at the earth surface, assuming an average atmospheric transmission and no clouds, as a function of latitude and time of year(George L.P.,J. E. William,1990). The discharge from the Geum, the Mankyung and the Dongjin rivers was adopted on the basis of experience formula of river flow in May(The M. of C.,Korea, 1993). Water temperature and salinity along the open boundaries are obtained from the results of field observations. The results of spring of the residual flow in the Saemangeum coastal area by a prognostic numerical model lead to the following conclusions: Water temperature in spring is the highest, salinity is the lowest and density is the lowest at the upper layer near the coast after the dike construction. The flow pattern at the upper layer during spring is anti-clockwise circulation between Wi and Shinsi islands. The flow pattern at the lower layer is clockwise circulation between Wi and Shinsi islands.

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p-Version Nonlinear Finite Element Analysis of RC Slabs Strengthened with Externally Bonded CFRP Sheets (탄소섬유보강 플라스틱시트로 외부보강된 RC 슬래브의 p-Version 비선형 유한요소 해석)

  • Cho, Jin-Goo;Park, Jin-Hwan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.1
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    • pp.61-68
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    • 2006
  • The p-version nonlinear finite element model has been developed to analyze the nonlinear behavior of simply supported RC slabs strengthened with carbon fiber reinforced plastic sheets. The shape function is adopted with integral of Legendre polynomials. The compression model of concrete is based on the Kupfer's yield criterion, hardening rule, and crushing condition. The cracking behavior is modeled by a smeared crack model. In this study, the fixed crack approach is adopted as being geometrically fixed in direction once generated. Each steel layer has a uniaxial behavior resisting only the axial force in the bar direction. Identical behavior is assumed fur tension and compression of steel according to the elastic modulus. The carbon fiber reinforced plastic sheets are considered as reinforced layers of equivalent thickness with uniaxial strength and rigidity properties in the present model. It is shown that the proposed model is able to adequately predicte the displacement and ultimate load of nonlinear simply supported RC slabs by a patch with respect to reinforcement ratio, thickness and angles of CFRP sheets.