• 제목/요약/키워드: empirical process

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도로시설물 자산관리를 위한 서비스수준체계 개발 (Development of Level of Service System for Road Infrastructure Asset Management)

  • 한대석;유인균;이수형
    • 한국도로학회논문집
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    • 제16권4호
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    • pp.75-86
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    • 2014
  • PURPOSES: The aim of this paper is developing user-oriented flexible Level Of Service (LOS) system for integrated asset management of various road facilities. It is essential to overcome limitations of general management systems which only focus on a type of assets (e.g. pavement, bridge etc.), and to serve a customizable LOS platform for smooth implementation and future improvement of the LOS considering various managerial environments of road agencies. METHODS: This study suggested a total framework of the LOS system as a process for self-development, operation and improvement of LOS system to conduct the PDCA (Plan-Do-Check-Act) in management process. In the process, we adopted user-customizable elements regarding asset definition, service index and evaluation method to match with the managerial environment of road agencies. In addition, we conducted an empirical study on the entire process of the suggested LOS system with a real road agency (Korea Express Highway) to prove applicability of the LOS system. RESULTS: From the empirical study, we confirmed that the suggested LOS system framework were suitable for development of customized LOS system. In addition, evaluation of asset conditions by LOS ratings, and quantification of vision achievement of the Korea Express Highway were successfully made. It would be the first trial in integrated management approach with LOS systems for numerous road facilities. CONCLUSIONS : It was recognized that easy application and sustainable improvement of the LOS was the most critical point in asset management. The suggested LOS system would be a powerful weapon as a managerial tool in preparing tight budget, aging infrastructures, and increased demands for more accountability both in Korea and internationally. Implementation of the LOS system needs to be expanded to the other infrastructure members to serve satisfactory level of service to taxpayers.

파일럿 플랜트 규모에서 일체형 침전부상공정 (SeDAF)의 설계인자 및 운전특성에 대한 실증적 평가 (Empirical evaluation for design parameters and operating characteristics of the integrated sedimentation and dissolved air flotation (SeDAF) process at the pilot-scale plant)

  • 장여주;정진홍;임현만;김원재
    • 상하수도학회지
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    • 제35권1호
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    • pp.1-14
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    • 2021
  • Eutrophication and algal blooms can lead to increase of taste and odor compounds and health problems by cyanobacterial toxins. To cope with these eco-social issues, Ministry of Environment in Korea has been reinforcing the effluent standards of wastewater treatment facilities. As a result, various advanced phosphorus removal processes have been adopted in each wastewater treatment plant nation-widely. However, a lot of existing advanced wastewater treatment processes have been facing the problems of expensive cost in operation and excessive sludge production caused by high dosage of coagulant. In this study, the sedimentation and dissolved air flotation (SeDAF) process integrated with sedimentation and flotation has been developed for enhanced phosphorus removal in wastewater treatment facilities. Design and operating parameters of the SeDAF process with the capacity of 100 ㎥/d were determined, and a demonstration plant has been installed and operated at I wastewater treatment facility (located in Gyeonggi-do) for the verification of field applicability. Several empirical evaluations for the SeDAF process were performed at demonstration-plant scale, and the results showed clearly that T-P and turbidity values of treated water were to satisfy the highest effluent standards below 0.2 mg/L and 2.0 NTU stably for all of operation cases.

패션 디자인에서의 인간-AI 공동창조(HAIC) 사례 연구 (A Case Study of Human-AI Co-creation(HAIC) in Fashion Design)

  • 정경희;이미숙
    • 패션비즈니스
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    • 제27권4호
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    • pp.141-162
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    • 2023
  • With the prospect that integrating creative AI in the fashion design field will become more visible, this study considered the case of creative fashion design development through Human-AI Co-creation (HAIC). Methodologically, this research encompasses a literature review and empirical investigations. In the literature review, the fashion design and creative HAIC processes, and the possibilities of integrating AI in fashion design were considered. In the empirical study, based on the case analysis of generating fashion design through HAIC, the HAIC type according to the role and interaction method, and characteristics of humans and AI was considered, and the HAIC process for fashion design was derived. The results of this study are summarized as follows. First, HAIC types in fashion design are divided into four types: AI-driven passive HAIC, human-driven passive HAIC, flexible interaction-based HAIC, and integrated interaction-based value creation HAIC. Second, the stages of the HAIC process for creative fashion design can be broadly divided into semantic data integration, visual ideation, design creation and expansion, design presentation, and design/manufacturing solution and UX platform creation. Third, in fashion design, HAIC contributes to human ability, enhancement of creativity, achievement of efficient workflow, and creation of new values. This research suggests that HAIC has the potential to revolutionize the fashion design industry by facilitating collaboration between humans and AI; consequently, enhancing creativity, and improving the efficiency of the design process. It also offers a framework for understanding the different types of HAIC and the stages involved in the creative fashion design process.

Estimation of Brain Connectivity during Motor Imagery Tasks using Noise-Assisted Multivariate Empirical Mode Decomposition

  • Lee, Ki-Baek;Kim, Ko Keun;Song, Jaeseung;Ryu, Jiwoo;Kim, Youngjoo;Park, Cheolsoo
    • Journal of Electrical Engineering and Technology
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    • 제11권6호
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    • pp.1812-1824
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    • 2016
  • The neural dynamics underlying the causal network during motor planning or imagery in the human brain are not well understood. The lack of signal processing tools suitable for the analysis of nonlinear and nonstationary electroencephalographic (EEG) hinders such analyses. In this study, noise-assisted multivariate empirical mode decomposition (NA-MEMD) is used to estimate the causal inference in the frequency domain, i.e., partial directed coherence (PDC). Natural and intrinsic oscillations corresponding to the motor imagery tasks can be extracted due to the data-driven approach of NA-MEMD, which does not employ predefined basis functions. Simulations based on synthetic data with a time delay between two signals demonstrated that NA-MEMD was the optimal method for estimating the delay between two signals. Furthermore, classification analysis of the motor imagery responses of 29 subjects revealed that NA-MEMD is a prerequisite process for estimating the causal network across multichannel EEG data during mental tasks.

Multiscale self-coordination of bidimensional empirical mode decomposition in image fusion

  • An, Feng-Ping;Zhou, Xian-Wei;Lin, Da-Chao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권4호
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    • pp.1441-1456
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    • 2015
  • The bidimensional empirical mode decomposition (BEMD) algorithm with high adaptability is more suitable to process multiple image fusion than traditional image fusion. However, the advantages of this algorithm are limited by the end effects problem, multiscale integration problem and number difference of intrinsic mode functions in multiple images decomposition. This study proposes the multiscale self-coordination BEMD algorithm to solve this problem. This algorithm outside extending the feather information with the support vector machine which has a high degree of generalization, then it also overcomes the BEMD end effects problem with conventional mirror extension methods of data processing,. The coordination of the extreme value point of the source image helps solve the problem of multiscale information fusion. Results show that the proposed method is better than the wavelet and NSCT method in retaining the characteristics of the source image information and the details of the mutation information inherited from the source image and in significantly improving the signal-to-noise ratio.

관광산업에서의 지식경영활동과 지식경영효율성 향상에 관한 실증연구 (Empirical Analysis of the Influence of Tourism Industry Knowledge Management Activities on Knowledge Management Efficiency)

  • 권순재;이건창
    • 지식경영연구
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    • 제10권3호
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    • pp.1-16
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    • 2009
  • Recent trends in business are characterized by recognition of the importance of knowledge assets. Especially, this phenomenon is receiving more momentum as our society goes digital rapidly. The concept of Knowledge Management has long been used as an effective way of restructuring the management process of a firm. In literature regarding knowledge management, a number of successful cases were reported, where knowledge-based management activities could dramatically enhance a firm's strategic performance for years. However, there exists very little research investigating the effect of knowledge management on corporate competitiveness. Researchers as well as practitioners need more rigorous results about such issues, especially how much the knowledge management strategic initiatives may have an influence on the firm's competitiveness. In this sense, we need an empirical study adopting statistical approaches due to the existence of abundant knowledge management case studies. To fill this research void, this study proposes a research model testing whether knowledge management activities could improve corporate competitiveness. We collected 321 valid questionnaires from participants in knowledge management activities in the tourism industry and applied a structural equation model. Empirical results showed that knowledge management activities have a positive impact on knowledge management efficiency and finally corporate competitiveness. We hope that this study will shed light on further rigorous studies considering tourism industry as a major strategic activity.

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온라인 환경에서 프라이버시 의사결정에 영향을 미치는 요인에 관한 연구: 이중계산모델을 중심으로 (A Study on Factors Influencing Privacy Decision Making on the Internet: Focus on Dual-Calculus Model)

  • 김상희;김종기
    • 한국정보시스템학회지:정보시스템연구
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    • 제25권3호
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    • pp.197-215
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    • 2016
  • Purpose This study aims to investigate the factors that influence decision making in relation to providing personal information on the internet with respect to the integration of the privacy calculus theory and protection motivation theory based on the dual-calculus model proposed by Li(2012). Design/methodology/approach The privacy calculus theory and protection motivation theory have been applied to explain privacy behavior to a certain degree but few studies have been conducted to explain privacy behavior based on the integration of these two theories. Although Li(2012) proposed the dual-calculus model, he only proposed its framework and did not carry out an empirical study. Therefore, this study proposes a research model that integrates these two theories and examines the relationship between the two theories through an empirical study. Findings According to the results of empirical analysis, it was found that all relations have statistically significant explanatory power except the relation between coping appraisal and privacy risk in the risk calculus process. Thus, the results verify that external threat played a decisive role in increasing the risk level of a consumer's privacy. It can be discussed the ways to enhance the privacy behavior of consumer on the internet through these findings.

Methodology for Risk Assessment for Exposure to Hurricane Conditions

  • Edge, Billy L.;Jung, Kwang-Hyo
    • International Journal of Ocean System Engineering
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    • 제2권1호
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    • pp.37-49
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    • 2012
  • An analysis of potential flooding by storm surge and wave run-up and overtopping can be used to evaluate protection afforded by the existing storm protection system. The analysis procedure can also be used to evaluate various protection alternatives for providing typhoon flood protection. To determine risk, the storm surges for both historical and hypothetical are compiled with tide conditions to represent high, slack and low water for neap, spring and mid range tides to use with the statistical procedure known as the Empirical Simulations Technique (EST). The EST uses the historic and hypothetical events to generate a large population of life-cycle databases that are used to compute mean value maximum storm surge elevation frequency relationships. The frequency-of-occurrence relationship is determined for all relevant locations along the shoreline at appropriate locations to identify the effect using the Empirical Storm Simulation (EST). To assist with understanding the process, an example is presented for a study of storm surge analysis for Freeport, Texas. This location is in the Gulf of Mexico and is subject to hurricanes and other tropical storms that approach from the Atlantic Ocean.

의료서비스 척도 개발 (Development of Medical Service Scale)

  • 남승규;우훈식;김영일;조충식
    • 혜화의학회지
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    • 제22권2호
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    • pp.143-154
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    • 2014
  • Objective : The purpose of this study is to establish a concept called as 'medical service' newly and to develop an reliable and valid scale that measures medical service. Methods : In order to accomplish these objectives, both conceptual study and empirical study were performed. In a conceptual study, 5 core factors(doctor, medical team, medical facilities, medical process, and hospital) and 24 sub factors were extracted with assistant by 7 experts, based on antecedent studies about components of medical service. In an empirical study, data was taken from 244 adults living in Seoul and Daejeon with the conceptually founded medical service scale. Results : Results of empirical study showed reliability and validity of the medical service scale. Internal consistency coefficient showed high score of .97 and, in accordance with the conceptual study, "medical treatment factor", "appearance factor", "personal factor", "trust factor" and "dissatisfaction factor" were extracted from the data as the five main factors. Conclusions : Finally, limitations of this study and directions for further studies are discussed. Acknowledgement : This work was supported by the Daejeon University Research Grant.

Identification of nonlinear elastic structures using empirical mode decomposition and nonlinear normal modes

  • Poon, C.W.;Chang, C.C.
    • Smart Structures and Systems
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    • 제3권4호
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    • pp.423-437
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    • 2007
  • The empirical mode decomposition (EMD) method is well-known for its ability to decompose a multi-component signal into a set of intrinsic mode functions (IMFs). The method uses a sifting process in which local extrema of a signal are identified and followed by a spline fitting approximation for decomposition. This method provides an effective and robust approach for decomposing nonlinear and non-stationary signals. On the other hand, the IMF components do not automatically guarantee a well-defined physical meaning hence it is necessary to validate the IMF components carefully prior to any further processing and interpretation. In this paper, an attempt to use the EMD method to identify properties of nonlinear elastic multi-degree-of-freedom structures is explored. It is first shown that the IMF components of the displacement and velocity responses of a nonlinear elastic structure are numerically close to the nonlinear normal mode (NNM) responses obtained from two-dimensional invariant manifolds. The IMF components can then be used in the context of the NNM method to estimate the properties of the nonlinear elastic structure. A two-degree-of-freedom shear-beam building model is used as an example to illustrate the proposed technique. Numerical results show that combining the EMD and the NNM method provides a possible means for obtaining nonlinear properties in a structure.