• 전기학회논문지
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• 제62권11호
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• pp.1598-1603
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• 2013

Recently, researches on analyzing relationship between the state of emotion and musical stimuli are increasing. In many previous works, data sets from all extracted channels are used for pattern classification. But these methods have problems in computational complexity and inaccuracy. This paper proposes a selection of optimal EEG channel to reflect the state of emotion efficiently according to music listening by analyzing stochastic feature vectors. This makes EEG pattern classification relatively simple by reducing the number of dataset to process.

• 한국건축시공학회지
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• 제13권5호
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• pp.441-448
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• 2013

In recent years, the number of female workers pursuing careers in the construction engineering and management field has increased, despite the fact that the job positions have been traditionally considered as retaining job functions and/or qualities that are more appropriate to male than female. This may be attributed to the fact that the positions also require delicate and/or detail-oriented job functions, which can be successfully performed by female. It is important for project participants to understand the working conditions for female field managers by analyzing their job performance. This study collects expert opinions regarding female's managerial performance on job site. Survey questionnaires were administered to two focus groups, male and female field managers who work for general contractors. This study contributes to encouraging female's social and economic involvement by investigating the challenges they face in the workplace, and provides measures to respond to such challenges.

• 한국CDE학회논문집
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• 제18권1호
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• pp.1-9
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• 2013

Nowadays in order to perform assembly process planning by using CAPP (Computer Aided Process Planning), researches to generate the assembly sequence automatically have come under constant interest by many researchers and they are devoted to optimize the assembly sequence. In this paper, the product on analyzing the relationship between assembled parts via contacting information such as common area, automatically based on the liaison graph of the product. To verify the validness and efficiency of the approach, the simple product is tested in the experimental way.

• 교육녹색환경연구
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• 제12권3호
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• pp.11-25
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• 2013

This study aims on finding a direction of desirable space organization of future elementary school in Korea by analyzing current status of space organization of elementary school in Japan. In this study comparison and analysis of curriculum of Korea and Japan, facility standards on national level and standards of national subsidy, current status of number of schools and students, transition of changes in facility area of elementary school for last 10 years are included. In Korea and Japan each 7 elementary schools which were constructed after 2007 and are good in space organization and school planning are selected. The comparison and analysis of satisfaction level on physical educational conditions and facilities such as current status of space organization and how to use them are conducted in this study. The contents of analyzing space organization are 'entry and placement, outdoor space', 'space program' and 'phase structure and organization of unit space'.

• IEIE Transactions on Smart Processing and Computing
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• 제2권6호
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• pp.332-338
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• 2013

We propose a method for target detection in Infrared images. In order to effectively detect a target region from an image with noises and clutters, spatial information of the target is first considered by analyzing pixel distributions of projections in horizontal and vertical directions. These distributions are represented as Gaussian distributions, and Gaussian Mixture Model is created from these distributions in order to find thresholding points of the target region. Through analyzing the calculated Gaussian Mixture Model, the target region is detected by eliminating various backgrounds such as noises and clutters. This is performed by using a novel thresholding method which can effectively detect the target region. As experimental results, the proposed method has achieved better performance than existing methods.

• The Journal of the Acoustical Society of Korea
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• 제22권1E호
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• pp.26-32
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• 2003

We propose new time-frequency (TF) tools for analyzing linear time-varying (LTV) systems and nonstationary random processes showing hyperbolic TF structure. Obtained through hyperbolic warping the narrowband Weyl symbol (WS) and spreading function (SF) in frequency, the new TF tools are useful for analyzing LTV systems and random processes characterized by hyperbolic time shifts. This new TF symbol, called the hyperbolic WS, satisfies the hyperbolic time-shift covariance and scale covariance properties, and is useful in wideband signal analysis. Using the new, hyperbolic time-shift covariant WS and 2-D TF kernels, we provide a formulation for the hyperbolic time-shift covariant TF symbols, which are 2-D smoothed versions of the hyperbolic WS. We also propose a new interpretation of linear signal transformations as weighted superposition of hyperbolic time shifted and scale changed versions of the signal. Application examples in signal analysis and detection demonstrate the advantages of our new results.

• 한국항공운항학회지
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• 제25권2호
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• pp.25-38
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• 2017

Current limitation of Aviation airworthiness manage system and text based Aviation safety report data, lack of Data Manage system for aviation parts failure and lack of continuing airworthiness related to task linking system for Inspection/Report/Improvement(AD ; Airworthiness Directive) have been apprehended to suggest direction of realizing improved operating system by applying aviation airworthiness manage system by using standardization and safety performance index based managing and safety performance index based data analyzing.

• 지식경영연구
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• 제7권2호
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• pp.53-68
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• 2006

Knowledge has become an important resource for organization. The manufacturing industry is usually operated on the basis of business processes, and most workers are familiar with their own processes. The process-based approach, therefore, can provide an efficient way to capture and navigate knowledge. In this study, we focus on knowledge which may be missed during knowledge transfer among workers. For this, we propose a method for analyzing knowledge flow, which is passed among business processes. We propose a process-based knowledge management framework for analyzing knowledge flow, which employs a two-phase analysis: process analysis and knowledge flow analysis. A knowledge flow model, represented by Knowledge Flow Diagram, is proposed as a tool for representing knowledge. We formulate several semantics for knowledge flow modeling. We build the three-level schema: conceptual, logical, and physical in order to automate the knowledge model adaptive to knowledge management systems. The proposed approach is verified and illustrated through a case study on the manufacturing process of A Company.

• 지식경영연구
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• 제12권4호
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• pp.55-75
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• 2011

Scant attention has been given to analyzing how knowledge sourcing strategies affect firm performance in SMEs and what are the differences between SMEs and large firms in the patterns of knowledge sourcing strategies adoption. This study attempts to advance the current literature by examining the impact of knowledge sourcing strategies on SMEs performance. The empirical segment of our work is based on data on knowledge sourcing strategies of SMEs and organizational performance from a sample of 166 Korean firms. Our results indicate knowledge sourcing adoption patterns of SMEs are different from large firms. In addition, the results confirm that substitutability between internal- and external-oriented, person- and external-oriented sourcing strategies. This study sheds new light on knowledge management (KM) research by identifying the relationship between knowledge sourcing strategies and SMEs performance.

• 제어로봇시스템학회논문지
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• 제21권4호
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• pp.291-300
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• 2015

In the steel manufacturing process heat-endurance deterioration of a ladle used to cause a big accident. In this paper, an infrared imaging system and image analyzing procedure are proposed for inspecting refractory bricks of a ladle. The proposed algorithm contains following three parts: two-stage image selection procedure, reference point detection, and analysis of heat-endurance deterioration. Experiments were conducted with real data from a steel plant and detailed configuration of infrared imaging system was presented.