• Journal of Power System Engineering
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• v.2 no.2
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• pp.73-80
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• 1998

The identification of drilling joint dynamics which consists of drilling and structural dynamics and the on-line time series detection of malfunction process is substantial not only for the investigation of the static and dynamic characteristics but also for the analytic realization of diagnostic and control systems in drilling. Therefore, We have discussed on the comparative assessment of two recursive time series modeling algorithms that can represent the drilling operation and detect the abnormal geometric behaviors in precision roundshape machining such as turning, drilling and boring in precision diemaking. For this purpose, simulation and experimental work were performed to show the malfunctional behaviors for drilling operation. For this purpose, a new two recursive approach (Recursive Extended Instrument Variable Method : REIVM, Recursive Least Square Method : RLSM) may be adopted for the on-line system identification and monitoring of a malfunction behavior of drilling process, such as chipping, wear, chatter and hole lobe waviness.

• Journal of the military operations research society of Korea
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• v.2 no.1
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• pp.127-143
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• 1976

The purpose of this thesis is to study the optimal arrangement of aircraft instrument panels through the human factors approach. Human factors engineering is the process of effectively fitting the human component to the machine component in any man-machine system. The human factors. are especially important to an aircraft pilot who must constantly shift his attention between the instrument panel within the cockpit and the surrounding area of the aircraft. The preliminary part of this study is to find the general patterns of the Korean pilot's eye movements during their various flying maneuvers, and which instruments require the most attention while in flight. It is assumed that all pilots have a general pattern of eye movement when observing the aircraft instrument panel and that an optimum arrangement would be to minimize the eye travel distance between instruments. In this thesis the arrangements of instruments is taken to be the independent variable and the eye travel distance between instruments the dependent variable. la order to compile the information necessary for this study, sixty Korean Air Force pilots were interviewed and requested to complete information forms. These information forms listed various flying maneuvers and listed each instrument used on the instrument panel. The compilation of the information on these completed forms listed the instruments most frequently used by the pilots. The second part of this study was to determine the optimum instrument arrangement. It was necessary to study the various number of possible arrangements of instruments depending upon the number of instruments involved. Therefore, these instruments are grouped by two major functions, The flight instruments were subdivided into three groups, and the engineering instruments were subdivided into six groups. With this subdivision we arrive at the possible number of arrangements of 4,320. Through the simulation method, total eye travel distance for each of these 4,320 arrangements is calculated and the arrangement which appears to be of optimum distance between the most frequently used aircraft instruments is determined. The results of this study indicate that the optimum distance between instruments would be 33,028cm and that the corresponding distance of the instrument panel now being used is 34,288cm. Therefore, an increased efficiency of $3.8\%$ would be realized if the existing aircraft instrument panel were re-arranged according to layout proposed in this thesis.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.6
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• pp.765-771
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• 1998

An artificial neural network(NN) technique is developed for hardware redundant sensor validation. Since the measurement space is a continuous space with many operating regions, it is difficult to train a NN to correctly detect failure in an accurate measurement system. A conventional backpropagation NN is modified to include an additional preprocessing layer that extracts classification features from scalar measurements. This feature extraction means transform the measurement space to parity space. The NN is independent of the state variable being measured, the instrument range, and the signal tolerance. This NN resembles the parity space approach to signal validation, except that analytical parity equations are unneeded and the NN pattern recognition capability is utilized for decision making.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1181-1188
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• 2021

This research aims to analyze transglobal leadership which has an impact on bank sustainability with militancy and organizational culture variables as mediating variables. In addition, to evaluate militancy, cultural organizations exist to encourage bank sustainability. This is an explanatory research conducted using a quantitative approach in the form of a survey. The population of this study includes all Heads of Regional Offices and Head of Branch Offices of PT. Bank Rakyat Indonesia is spread across Sumatra, Java, Kalimantan, Sulawesi, Bali and Jayapura. This study uses a research instrument in the form of a questionnaire that has been tested for validity and reliability and secondary data. Quantitative data analysis was performed in the form of Structural Equation Modeling (SEM) analysis based on Partial Least Square (PLS) to answer the research hypothesis. The results show a significant and positive relationship between transglobal and militancy leadership, transglobal leadership with innovation culture, militancy with innovation culture, militancy with bank sustainability and innovation culture with bank sustainability. The novelty of this research lies in the use of militancy and innovation culture as intervening variables in the correlation between transglobal leadership and bank sustainability. The militancy variable is the new variable to be checked.

• Korean Journal of Social Welfare Studies
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• v.41 no.3
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• pp.213-239
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• 2010

The purpose of this research is to explore the explanatory factors of preference for the universality of the welfare system at the time of expanding the welfare system. In particular, considering endogenous problem that may occur in the process of analyzing the causal relationship between subjective perception and preference for welfare policy, the 2SLS regression analysis using instrument variables was attempted in this research. The key findings of this research were as follow. First, the groups who are opposed to the welfare state expansion, for example high income earners, low risk group, and employer/self-employer, prefer the more universal welfare systems. Second, the negative perception of welfare policy and recipients, which is stronger in older generation who experienced a much longer period of industrializaion, have a negative effect on preference for the universal welfare system. Last, we find that the endogenous problem arise in this research and distort the estimated regression coefficients. Therefore, subsequent studies must be mindful of this problem when they explain attitudes with attitudes.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.8 no.3
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• pp.42-51
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• 1999

An experimental modeling of cutting and structural dynamics and the on-line detection of malfunction process is substantial not only for the investigation of the static and dynamic characteristics of cutting process but also for the analytic realization of diagnostic systems. In this regard, We have discussed on the comparative assessment of two recursive time series modeling algorithms that can represent the machining process and detect the abnormal machining behaviors in precision round shape machining such as turning, drilling and boring in mold and die making. In this study, simulation and experimental work were performed to show the malfunctioned behaviors. For this purpose, two new recursive approach (REIVM, RLSM) were adopted fur the on-line system identification and monitoring of a machining process, we can apply these new algorithm in real process for the detection of abnormal machining behaviors such as chipping, chatter, wear and round shape lobe waviness.

• Journal of the Korea Institute of Military Science and Technology
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• v.14 no.4
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• pp.719-725
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• 2011

To apply TMAH-based Py-MS to a field biological detection system for real-time classification of cell-type, reproducible patterns of the TMAH-based Py-MS spectra was known as a critical factor for classification but was seriously disturbed by quantity of cells injected into pyro-tube. This factor is an exterior variable that could not be complemented by improving the performance of the TMAH-based Py-MS instrument. One of idea to solve the knotty problem has been flashed from "Top-down proteomics for identification of intact microoganisms". That is, biomarker peaks are selected from complicate Py-MS spectra for intact microoganisms by tracing out their origins, based on Py-MS spectra for the featured components of different cell-types, in Top-down approach. This idea has been tested in classification of different Gram-type microoganisms. Through the analyses of spectra for the featured components - peptidoglycan and lipoteichoic acid for Gram-positive cells and lipopolysaccharide and lipid A for Gram-negative cells - with comparing to the spectra the corresponding Gram-type cells in the Top-down approach, biomarker peaks were selected to carry out PCA(Principal Component Analysis) in order to see classification of different Gram-types, resulting in significant improvement of their classification. Furthermore, weighting biomarker peaks on intact cell's spectra, based on the data for the featured components of the Gram-types, contributed to elevate classification performance.

• Journal of Navigation and Port Research
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• v.36 no.5
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• pp.357-361
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• 2012

Anemometer is a meteorological instrument that measures wind direction and wind speed in real time, and is mounted to the cranes that are used at ports, shipbuilding yards, off-shore structure, or construction sites that are influenced by wind, and it is used in conjunction with the safety system. Load cell-type anemometer measures the wind direction through the ratio of load between 4 positions by mounting the thin plate to 4 load cells, and measures wind velocity through the summation of loads. In this study, we compared and analyzed the results in the theoretic approach, analytic approach and experimental approach to derive the correlation between load ratio and wind direction. Wind direction was selected as the design variable, and selected 9 wind direction conditions from $0^{\circ}{\sim}90^{\circ}$ with $11.25^{\circ}$ space for analysis, and 10 wind direction conditions with $10^{\circ}$ space for experiment.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.255-264
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• 2021

The purpose of this study is to analyze the role of customer value and customer trust as a mediator of flexibility influence on customer retention. The study applies SEM tools with WarpPLS analysis and translates customer value and customer trust as mediation. This study was organized into three parts: exploratory research, descriptive research, and explanatory research. The quantitative approach in this study uses a survey method by taking samples from the population. This is a latent variable that is measured using a research instrument in the form of a questionnaire. The survey was conducted by distributing questionnaires to respondents. This research was conducted at PT. Nusa Prima Logistics Terminal Teluk Lamong by taking primary data, in the form of assessments or perceptions from respondents, so a survey was conducted by submitting a questionnaire directly to 194 respondents. Quantitative data analysis was performed using Structural Equation Modeling (SEM) to answer the research hypothesis. Flexibility is very influential in increasing customer retention so to develop customer retention, it is necessary to increase flexibility, customer value, and customer trust. The novelty in this research lies in identifying the role and position of customer value and customer trust as mediation that affect customer retention.

• Asia-Pacific Journal of Business
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• v.11 no.1
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• pp.1-16
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• 2020

Purpose - The purpose of this research is to investigate the determinants of bakery revisit intention. This research selects Paris Baguette as the research context because the market share of Paris Baguette was the highest in Korean bakery market. Design/methodology/approach -This research employed revisit intention as the dependent variable, while this research chooses six attributes to account for revisit intention. Six attributes are price fairness, taste, product variety, accessibility, display, and membership. This research uses survey as the main instrument. For the data collection, online survey using Google survey form was implemented. The survey participants are domestic consumers of Paris Baguette. The number of observation is 245. For the data analysis, this study used frequency analysis, correlation matrix, exploratory factor analysis, reliability analysis, and multiple regression model. There are four control variables, which contains age, gender, visiting frequency, and monthly income. Findings - The results shows that price fairness, taste, product diversity, and accessibility are significant attributes with the positive effect. Among the significant attributes, taste presented the highest magnitude to explain the revisit intention. However, membership and display appeared as non-significant attributes to account for bakery revisit intention. Research implications or Originality - This study provides the bakery managers with the information to design their service and product. This study also contributes to the literature by understanding the consumer behavior more in the domain of bakery service.