• Title/Summary/Keyword: Frequency Contribution Analysis

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Analysis of the Effects of SD Plasma on Aerodynamic Drag Reduction of a High-speed Train

  • Lee, Hyung-Woo;Kwon, Hyeok-Bin
    • Journal of Electrical Engineering and Technology
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    • v.9 no.5
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    • pp.1712-1718
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    • 2014
  • Experimental analysis according to the plasma actuator design variables was performed in order to verify the effects of sliding discharge plasma on aerodynamic drag reduction of a high-speed train. For the study, sliding discharge plasma actuator and high-frequency, high-voltage power supply were developed and experimented to figure out the best design variables for highest ionic wind velocity which could reduce the drag force. And then, 5% reduced-scale model of a high-speed train was built for wind tunnel test to verify it. From the results, it was confirmed that sliding discharge plasma had contribution to reduce the drag force and it had the potential to be applied to real-scale trains.

Empirical Analysis of Early-stage International Startups Business Performance Antecedent: Focus on Firm Capability

  • Kim, Boine
    • Journal of Information Technology Applications and Management
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    • v.29 no.1
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    • pp.83-95
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    • 2022
  • Given the importance of SMEs in the Korean economy, research of the performance of SMEs is more necessary than ever. Therefore, this study aims to empirically analyze the factors influencing management performance for early-stage international startups in Korea. To do that, this study empirically analyzes the nine firm capabilities' (global mind, export infra, manpower internationality, funding, communicating, marketing, cooperating, competitiveness and reflecting) influence on the two business performances (fulfillment satisfaction and export). This study used SPSS of frequency, factor, reliability, correlation, and stepwise regression analysis with the GCL test data approved by the DSZ of Kdata. As results show, competitiveness, cooperating, and reflating capability positively influence fulfillment satisfaction. And manpower internationality and cooperating capability positively affect export. Based on this study result, implications for management and academic contribution and future study are suggested.

A Computer-Aided Text Analysis to Explore Recruitment and Intellectual Polarization Strategies in ISIS Media

  • Khafaga, Ayman Farid
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.87-96
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    • 2022
  • This paper employs a computer-aided text analysis (CATA) and a Critical Discourse Analysis (CDA) to explore the strategies of recruitment and intellectual polarization in ISIS (Islamic State in Iraq and Syria) media. The paper's main objective is to shed light on the efficacy of employing computer software in the linguistic analysis of texts, and the extent to which CATA software contribute to deciphering hidden meanings of texts as well as to arrive at concise and authentic results from these texts. More specifically, this paper attempts to demonstrate the contribution of CATA software represented in the two variables of Frequency Distribution Analysis (FDA) and Content Analysis (CA) in decoding the strategies of recruitment and intellectual polarization in one of ISIS 's digital publication: Rumiyah (a digital magazine published by ISIS). The analytical focus is on three strategies of recruitment and intellectual polarization: (i) lexicalization, (ii) intertextual religionisation, and (iii) justification. Two main findings are revealed in this study. First, the application of CATA software into the linguistic investigation of texts contributes effectively to the understanding of the thematic and ideological messages pertaining to the analyzed text. Second, the computational analysis guarantees concise, credible, authentic and ample results than is the case if the analysis is conducted without the work of computer software. The paper, therefore, recommends the integration of CATA software into the linguistic analysis of the various types of texts.

Time Domain Prediction and Analysis of Low Frequency Noise from Wind Turbine using Hybrid Computational Aeroacoustics (CAA) Method (복합 전산 공력음향학(CAA) 방법을 이용한 시간영역 풍력터빈 저주파수 소음 예측과 분석)

  • Lee, Gwang-Se;Cheong, Cheolung;Kim, Hyung-Taek;Joo, Won-Ho
    • The Journal of the Acoustical Society of Korea
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    • v.32 no.5
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    • pp.369-376
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    • 2013
  • Using Lowson's acoustic analogy, low frequency noise of a wind turbine (WT) is predicted in time domain and the noise sources contributing to the low frequency noise is analyzed. To compute averaged pressure distribution on blades of the WT as noise source, XFOIL is utilized. The blade source domain is divided into several segments along the span direction to compute force exerted on air surrounding the blade segments, which is used as input for noise prediction. The noise sources are decomposed into three terms of force fluctuation, acceleration and velocity terms and are analyzed to investigate each spectral contribution. Finally, predicted spectra are compared with measured low frequency noise spectrum of a wind turbine in operation. It is found that the force fluctuation component contributes strongly in low frequency range with increasing wind speed.

Oscillating Boundary Layer Flow and Low Frequency Instability in Hybrid Rocket Combustion (하이브리드 로켓 연소에서의 경계층 진동 변화와 저주파수 연소불안정)

  • Kim, Jina;Lee, Changjin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.10
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    • pp.720-727
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    • 2019
  • Resonating thermal lags of solid fuel with heat transfer oscillations generated by boundary layer oscillation is the primary mechanism of the occurrence of the LFI (Low Frequency Combustion Instability) in hybrid rocket combustion. This study was experimentally attempted to confirm that how the boundary layer was perturbed and led to the LFI. Special attention was also made on oxidizer swirl injection to investigate the contribution to combustion stabilization. Also the overall behavior of fluctuating boundary layer flow and the occurrence of the LFI was monitored as swirl intensity increased. Fluctuating boundary layer was successfully monitored by the captured image and POD (Proper Orthogonal Decomposition) analysis. In the results, oscillating boundary layer became stabilized as the swirl intensity increases. And the coupling strength between high frequency p', q' diminished and periodical amplification of RI (Rayleigh Index) with similar frequency band of thermal lag was also decreased. Thus, results confirmed that oscillating axial boundary layer triggered by periodic coupling of high frequency p', q' is the primary mechanism to excite thermal resonance with thermal lag characteristics of solid fuel.

Intangible Cost Influence on Business Performance of Wholesale and Retail Brokerage in Korea: Focusing on HRM, Marketing and CSR

  • KIM, Boine;KIM, Byoung-Goo
    • Journal of Distribution Science
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    • v.20 no.5
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    • pp.119-127
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    • 2022
  • Purpose: The purpose of this study is to analyze the Cost-Effectiveness Analysis (CEA) of wholesale and retail brokerage businesses in Korea. And give managerial implications and contribute to academics. Research design, data and methodology: This research empirically analyzes the relationship between expenses and business performance. As for business performance, this research considered two financial performances; sales and profit. As for antecedent variables, this research measured three cost investment expenses; human resource management (HRM), marketing (MKT) and corporate social responsibility (CSR). This research used frequency analysis, correlation analysis, stepwise regression analysis and curve estimation analysis. Results: The result shows that HRM and CSR positive significant influence on sales yet marketing negatively significant influence on sales. And for profit, HRM and CSR give a positive significant influence. However, marketing's influence was not significant. According to curve estimation analysis, the relation between individual cost and performance, best functional relation was all quadratic functions. Some results show ∩ shape and others show shape. Conclusions: Based on this study result, implications for practical management to Wholesale and Retail Brokerage companies in Korea. And the contribution to academics is expected. Also, based on the limitation of this study, future research is suggested.

Analysis of Characteristic Factors for Non-fatal Accidents in Construction Projects using Association Rule Mining (연관 규칙 탐색 기법을 이용한 건설공사 비사망 재해의 특성 요인 분석)

  • Gayeon, Lee;Sung Woo, Shin
    • Journal of the Korean Society of Safety
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    • v.37 no.6
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    • pp.40-49
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    • 2022
  • Simple statistical frequency based analysis, such as Pareto analysis, are widely used in conventional accident analysis. However, due to the dynamic and complex nature of construction works, many factors can simultaneously affect or involve the occurrence of accidents in construction projects. Therefore, the identification of the complex relationship between such factors is important to establish relevant and effective safety management policies and/or programs. In this study, characteristic factors and their relationships' contribution to non-fatal accidents in construction projects are analyzed using the association rule mining (ARM) technique. To this end, a total of 59,202 construction accident data are collected from 2015 to 2019 and the ARM is performed to retrieve specific relationships -named as association rules-among classified factors in the data. Characteristics of the retrieved relationships are analyzed and compared with the results of conventional Pareto analysis. Based on the results, it is found that both fall and trip are notable accident forms having characteristic relations with other factors for non-fatal accidents in construction projects. It is also found that small-scale construction, age of 50s, less than 1 month of working period, and architectural construction are important factors for non-fatal accidents in construction projects.

Development Study of a Predictive Model for the Possibility of Collection Delinquent Health Insurance Contributions (체납된 건강보험료 징수 가능성 예측모형 개발 연구)

  • Young-Kyoon Na
    • Health Policy and Management
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    • v.33 no.4
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    • pp.450-456
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    • 2023
  • Background: This study aims to develop a "Predictive Model for the Possibility of Collection Delinquent Health Insurance Contributions" for the National Health Insurance Service to enhance administrative efficiency in protecting and collecting contributions from livelihood-type defaulters. Additionally, it aims to establish customized collection management strategies based on individuals' ability to pay health insurance contributions. Methods: Firstly, to develop the "Predictive Model for the Possibility of Collection Delinquent Health Insurance Contributions," a series of processes including (1) analysis of defaulter characteristics, (2) model estimation and performance evaluation, and (3) model derivation will be conducted. Secondly, using the predictions from the model, individuals will be categorized into four types based on their payment ability and livelihood status, and collection strategies will be provided for each type. Results: Firstly, the regression equation of the prediction model is as follows: phat = exp (0.4729 + 0.0392 × gender + 0.00894 × age + 0.000563 × total income - 0.2849 × low-income type enrollee - 0.2271 × delinquency frequency + 0.9714 × delinquency action + 0.0851 × reduction) / [1 + exp (0.4729 + 0.0392 × gender + 0.00894 × age + 0.000563 × total income - 0.2849 × low-income type enrollee - 0.2271 × delinquency frequency + 0.9714 × delinquency action + 0.0851 × reduction)]. The prediction performance is an accuracy of 86.0%, sensitivity of 87.0%, and specificity of 84.8%. Secondly, individuals were categorized into four types based on livelihood status and payment ability. Particularly, the "support needed group," which comprises those with low payment ability and low-income type enrollee, suggests enhancing contribution relief and support policies. On the other hand, the "high-risk group," which comprises those without livelihood type and low payment ability, suggests implementing stricter default handling to improve collection rates. Conclusion: Upon examining the regression equation of the prediction model, it is evident that individuals with lower income levels and a history of past defaults have a lower probability of payment. This implies that defaults occur among those without the ability to bear the burden of health insurance contributions, leading to long-term defaults. Social insurance operates on the principles of mandatory participation and burden based on the ability to pay. Therefore, it is necessary to develop policies that consider individuals' ability to pay, such as transitioning livelihood-type defaulters to medical assistance or reducing insurance contribution burdens.

PROCESS OF DESIGNING BODY STRUCTURES FOR THE REDUCTION OF REAR SEAT NOISE IN PASSENGER CAR

  • Kim, K.C.;Kim, C.M.
    • International Journal of Automotive Technology
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    • v.8 no.1
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    • pp.67-73
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    • 2007
  • This study analyzes the interior noise that is generated during acceleration of a passenger car in terms of car body structure and panel contribution. According to the transfer method, interior noise is classified into structure-borne noise and air-borne noise. Structure-borne noise is generated when the engine's vibration energy, an excitation source, is transferred to the car body through the engine mount and the driving system and the panel of the car body vibrates. When structure-borne noise resonates in the acoustic cavity of the car interior, acute booming noise is generated. This study describes plans for improving the car body structure and the panel form through a cause analysis of frequency ranges where the sound pressure level of the rear seat relative to the front seat is high. To this end, an analysis of the correlation between body attachment stiffness and acoustic sensitivity as well as a panel sensitive component analysis were conducted through a structural sound field coupled analysis. Through this study, via research on improving the car body structure in terms of reducing rear seat noise, stable performance improvement and light weight design before the proto-car stage can be realized. Reduction of the development period and test car stage is also anticipated.

Effects of Positive Characteristics of SNS on Use Satisfaction and Using Reluctant Intention: A Path Model for the Role of Trust and Value

  • Yang, Hoe-Chang;Kim, Hwa-Kyung
    • The Journal of Economics, Marketing and Management
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    • v.5 no.3
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    • pp.21-29
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    • 2017
  • This study was conducted to examine the effects of interactivity, entertainment and ease of use, which are positive characteristics of SNS, on SNS using satisfaction and using reluctant intention and the roles of perceived values and trust among users in the relationships among these variables, in order to find a clue to contribution to positive use and development of SNS. For this study, a survey was performed targeting normal people in Seoul and the metropolitan area and a total of 224 effective questionnaires were acquired. Then frequency analysis, descriptive statistic analysis, correlation analysis and structural equation path analysis were carried out. As a result of analysis, interactivity and ease of use increased SNS using satisfaction and decreased using reluctant intention via trust and users' perceived values respectively. The result of analyzing the modification model showed that interactivity and entertainment directly increased SNS using satisfaction. These findings imply that SNS providers fully need to reflect the needs of consumers for interactivity, entertainment and ease of use for improving consumers' perceived values and trust. It is also concluded that consumers can enjoy positive SNS activities by increasing trust with SNS users through a positive understanding of interactivity and participation.