• 문화기술의 융합
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• 제10권3호
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• pp.461-466
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• 2024

한국의 주민참여예산제도는 자치단체별로 자율적으로 운영되도록 하고 있어서, 본 연구는 이들을 몇 개의 유사한 유형들로 구분하여서 각각의 특징들을 살펴보고자 한다. 본 연구는 다양한 머신 러닝 기법들을 활용하여 2022년도 기초 시(市)를 중심으로 운영유형을 분류하였다. 그 결과, 여러 머신 러닝 기법(Neural Network, Rule Induction(CN2), KNN, Decision Tree, Random Forest, Gradient Boosting, SVM, Naïve Bayes) 중에서 SVM 기법이 성능이 가장 좋은 것으로 확인되었다. SVM 기법이 밝혀낸 운영유형은 모두 3개인데, 하나는 위원회 활동은 적게 하지만, 참여예산은 많이 확보하는 클러스터(C1)이고, 다른 하나는 주민참여예산제에 매우 소극적인 도시들의 클러스터(C3)이다. 마지막 클러스터(C2)는 참여예산에 전반적으로 적극적인데, 대다수 지역이 여기에 해당한다. 결론적으로 한국의 대다수 자치단체는 주민참여예산제를 긍정적으로 운영하고 있으며, 오직 소수의 자치단체만 소극적이다. 후속 연구로 지난 10여 년간의 시계열 자료를 분석한다면, 우리는 주민참여예산에 관한 지방자치단체 유형 분류의 신뢰도를 더욱 높일 수 있을 것으로 기대한다.

• Asia pacific journal of information systems
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• 제24권1호
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• pp.93-112
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• 2014

As personal data breach reared up as a problem domestically and globally, organizations appointing chief privacy officers (CPOs) are increasing. Related Korean laws, 'Personal Data Protection Act' and 'the Act on Promotion of Information and Communication Network Utilization and Information Protection, etc.' require personal data processing organizations to appoint CPOs. Research on the characteristics and role of CPO is called for because of the importance of CPO being emphasized. There are many researches on top management's role and their impact on organizational performance using the Upper Echelon theory. This study investigates what influence the characteristics of CPO gives on the organizational privacy performance. CPO's definition varies depending on industry, organization size, required responsibility and power. This study defines CPO as 'a person who takes responsibility for all the duties on handling the organization's privacy,' This research assumes that CPO characteristics such as role, personality and background knowledge have an influence on the organizational privacy performance. This study applies the part relevant to the upper echelon's characteristics and performance of the executives (CEOs, CIOs etc.) for CPO. First, following Mintzberg and other managerial role classification, information, strategic, and diplomacy roles are defined as the role of CPO. Second, the "Big Five" taxonomy on individual's personality was suggested in 1990. Among these five personalities, extraversion and conscientiousness are drawn as the personality characteristics of CPO. Third, advance study suggests complex knowledge of technology, law and business is necessary for CPO. Technical, legal, and business background knowledge are drawn as the background knowledge of CPO. To test this model empirically, 120 samples of data collected from CPOs of domestic organizations are used. Factor analysis is carried out and convergent validity and discriminant validity were verified using SPSS and Smart PLS, and the causal relationships between the CPO's role, personality, background knowledge and the organizational privacy performance are analyzed as well. The result of the analysis shows that CPO's diplomacy role and strategic role have significant impacts on organizational privacy performance. This reveals that CPO's active communication with other organizations is needed. Differentiated privacy policy or strategy of organizations is also important. Legal background knowledge and technical background knowledge were also found to be significant determinants to organizational privacy performance. In addition, CPOs conscientiousness has a positive impact on organizational privacy performance. The practical implication of this study is as follows: First, the research can be a yardstick for judgment when companies select CPOs and vest authority in them. Second, not only companies but also CPOs can judge what ability they should concentrate on for development of their career relevant to their job through results of this research. Cultural social value, citizen's consensus on the right to privacy, expected CPO's role will change in process of time. In future study, long-term time-series analysis based research can reveal these changes and can also offer practical implications for government and private organization's policy making on information privacy.

• 복식
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• 제54권3호
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• pp.145-158
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• 2004

In modern art, body appears as artistic performer, material or producer. and is expressed as' social environment body' which is changed in the relationship with its society and culture. The correlation between body and clothing image appears in 'body as expression object' which directly borrows human body or sets up a section of human body, 'body as medium' in which clothing substitutes body, and 'body as image' in which image of body reappears along with clothing. The results of analysis are as follows : First, 'image of expansion and exaggeration' to expand the influence of clothing thereby disclosing illusion of material civilization prevalent in our society, and make metaphor of dwarfish human's lurking fear by transforming and exaggerating human body. Second, 'image of restriction and suppression' to express the loss of humanity, power and restriction of modern society with fixing and cruelty of body image through clothing which disregard body function. Third, 'image of open and fluidity to criticize the extinction of values of human existence and standardized figure of our society by reducing three-dimensional clothing and body to untypical form or introducing the image of absent of human body to clothing. Fourth, 'image of reversion and paradox' to express practical clothing object with unwearable material, or cause confusion of sex and identity by expressing dual aspects of body at the same time. In this study, which is focused on correlation between body and clothing and the meaning of them, I realized that, even though artistic clothing expressed image of distortion and deformation of human existence as essential subject of body, they, in most contents, were used as medium of communication to rediscover human dignity and identity, and consisted of a series of metaphoric network of meanings satirizing aspects of our society.

• 천문학회보
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• 제41권2호
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• pp.49.2-49.2
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• 2016

The number of discovery of asteroids with peculiar rotational states has recently increased, and hence a novel approach for lightcurve analysis is considered to be critical. In order to investigate objects such as Non-Principal Axis (NPA) rotator, we selected a NPA candidate, (5247) Kryolv as our target considering its Principal Axis Rotation (PAR) code and the visibility in early 2016. The observations of Krylov were made using Korea Microlensing Telescope Network (KMTNet) 1.6 m telescopes installed at the three southern sites with TO (Target of Opportunity) observation mode. We conducted R-band time-series photometry over a total of 51 nights from January to April 2016 with several exposures during each allocated run. The ensemble normalization photometry was employed using the AAVSO Photomtric All-Sky Survey (APASS) catalog for the standardization. We successfully confirmed its NPA spin state based on the deviation from the reduced lightcurve, and thus Krylov is recorded as the first NPA rotator of its kind in the main-belt, with its precession and rotation periods, $P{\varphi}=81.18h$ and $P_{\Psi}=67.17h$, respectively. In this paper, we present the spin direction, the 3D shape model and taxonomy of the newly confirmed NPA asteroid (5247) Krylov.

• 대한의용생체공학회:의공학회지
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• 제24권3호
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• pp.151-158
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• 2003

심장혈관 신호에 있어서 단기간의 beat-to-beat 변이(variability)에 대한 여러 연구에서 선형 분석기법들이 사용되었다. 그러나 단기간 beat-to-beat 변이에 대해 선형기법 사용의 타당성에 대한 연구나 선형과 비선형 특성을 비교한 연구는 수행되지 않았다. 본 논문의 목적은 단기간 beat-to-beat 변이의 비선형성 특성을 조사함으로써 선형기법 사용의 적절함을 증명하고자 한다. 이를 위해 선형 ARMA와 비선형 신경망(NN) 모델을 사용하여 예측을 수행하였는데, 과거의 순시 심박(HR)과 평균 혈압(BP)으로부터 현재의 심박과 혈압 예측을 상호 비교하였다. 이러한 예측모델을 평가하기 위해 MIMIC 데이터베이스로부터 HR와 BP 시계열을 사용하였다. 실험결과에 의하면 신경망에 의한 비선형성은 단기간 beat-to-beat 변이를 생성하는 시스템 동특성을 나타내는데 의미있는 역할을 하지 못하였으며, 이 사실은 ARMA 선형 분석기법이 이러한 시스템 동특성을 나타내는데 적절함을 보여주고 있다

• 정보처리학회논문지B
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• 제15B권6호
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• pp.603-608
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• 2008

본 논문에서는 주가의 일별 시가, 종가, 최고가, 최저가를 예측하기 위한 퍼지모델을 제안한다. 주가는 시장의 여러 경제 변수에 의존하므로 주가예측 모델의 입력변수를 선택하는 것은 쉽지 않은 일이다. 이와 관련하여 많은 연구가 있지만 정답이 있는 것은 아니다. 본 논문에서는 이를 해결하기 위해 주가 움직임 자체에 주목하는 스틱차트의 기술적 분석에 이용되는 정보를 퍼지규칙의 입력변수로 선택한다. 퍼지규칙은 사다리꼴 멤버쉽함수로 이루어진 전건부와 비선형 수식의 후건부로 구성된다. 최적의 퍼지규칙으로 구성된 퍼지모델을 찾아내기 위해 차분진화가 사용된다. 본 논문에 제안된 방법은 수치 예를 통해 다른 방법과의 비교로 타당성이 검토되며 KOSPI(KOrea composite Stock Price Index) 일별 데이터를 사용, 주가예측 퍼지모델을 구축하고 신경회로망 모델과 비교, 검토된다.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2007년도 정기학술발표대회 논문집
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• pp.327-330
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• 2007

기존의 시뮬레이션 일정기법은 최종공사기간(Project Completion Times: PCTs)이 정규분포를 따른다는 가정을 전제로 한다. 그러나 본 논문에서는 이 가정이 항상 옳은 것이 아니며, 이것이 잘못된 결과를 초래할 수 있다는 것을 검증한다. 이처럼 의문이 제기되지 않고 받아들여져 온 가정이 시뮬레이션 분석 결과에 어떠한 영향을 줄 수 있는지를 밝혀내는 리키스 정량화기법(risk Quantification method)을 MATLAB 알고리즘으로 구현하였으며, 네트워크의 모델링에서부터 시뮬레이션 출력 값들로 구성된 샘플집단들에 대한 분석에 이르기까지 전 단계를 MATLAB 프로그래밍으로 구현된 알고리즘을 사용하여 제기된 의문에 대한 답을 제시하였다. 특정 네트워크를 구성하는 엑티비티 기간 값들을 정의하는 확률분포함수의 종류를 다양하게 변화시켜 시뮬레이션 결과 값들 - 최종공사기간 값들 - 을 생성하고, 이처럼 생성된 시뮬레이션 출력 값들로 구성된 샘플집단들의 확률 통계적 특성을 분석하였다. 본 연구는 시뮬레이션을 기반으로 하는 일정관리기법의 신뢰성을 향상시키며, 일정관련 리시크 분석의 정확성을 향상시키는데 기여할 것이다.

• 대한전기학회논문지:시스템및제어부문D
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• 제55권6호
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• pp.264-273
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• 2006

In this paper, we propose a new architecture of Self-Organizing Fuzzy Polynomial Neural Networks (SOFPNN) by means of consecutive optimization and also discuss its comprehensive design methodology involving mechanisms of genetic optimization. The network is based on a structurally as well as parametrically optimized fuzzy polynomial neurons (FPNs) conducted with the aid of information granulation and genetic algorithms. In structurally identification of FPN, the design procedure applied in the construction of each layer of a SOFPNN deals with its structural optimization involving the selection of preferred nodes (or FPNs) with specific local characteristics and addresses specific aspects of parametric optimization. In addition, the fuzzy rules used in the networks exploit the notion of information granules defined over system's variables and formed through the process of information granulation. That is, we determine the initial location (apexes) of membership functions and initial values of polynomial function being used in the premised and consequence part of the fuzzy rules respectively. This granulation is realized with the aid of the hard c-menas clustering method (HCM). For the parametric identification, we obtained the effective model that the axes of MFs are identified by GA to reflect characteristic of given data. Especially, the genetically dynamic search method is introduced in the identification of parameter. It helps lead to rapidly optimal convergence over a limited region or a boundary condition. To evaluate the performance of the proposed model, the model is experimented with using two time series data(gas furnace process, nonlinear system data, and NOx process data).

• 전기전자학회논문지
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• 제23권1호
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• pp.120-126
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• 2019

최근 에너지 인터넷에서 지능형 원격검침 인프라를 이용하여 확보된 대량의 전력사용데이터를 기반으로 효과적인 전력수요 예측을 위해 다양한 기계학습기법에 관한 연구가 활발히 진행되고 있다. 본 연구에서는 전력량 데이터와 같은 시계열 데이터에 대해 효율적으로 패턴인식을 수행하는 인공지능 네트워크인 Gated Recurrent Unit(GRU)을 기반으로 딥 러닝 모델을 제안하고, 실제 가정의 전력사용량 데이터를 토대로 예측 성능을 분석한다. 제안한 학습 모델의 예측 성능과 기존의 Long Short Term Memory (LSTM) 인공지능 네트워크 기반의 전력량 예측 성능을 비교하며, 성능평가 지표로써 Mean Squared Error (MSE), Mean Absolute Error (MAE), Forecast Skill Score, Normalized Root Mean Squared Error (RMSE), Normalized Mean Bias Error (NMBE)를 이용한다. 실험 결과에서 GRU기반의 제안한 시계열 데이터 예측 모델의 전력량 수요 예측 성능이 개선되는 것을 확인한다.

• 천문학회보
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• 제44권1호
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• pp.80.1-80.1
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• 2019

Photometric investigations of asteroids allow us to determine their rotation states and shape models (Apostolovska et al. 2014). Our main target, asteroid (2078) Nanking's perihelion distance (q) is 1.480 AU, which belongs to the Mars-crossing asteroid (1.3 < q < 1.66 AU). Mars-crossing asteroids are objects that cross the orbit of Mars and regarded as one of the primary sources of near-Earth asteroids due to the unstable nature of their orbits. We present the analysis of the spin parameters and 3D shape model of (2078) Nanking. We conducted Cousins_R-band time-series photometry of this asteroid from November 26, 2014 to January 17, 2015 at the Sobaeksan Optical Astronomy Observatory (SOAO) and for 25 nights from March to April 2016 using the Korea Microlensing Telescope Network (KMTNet) to reconstruct its physical model with our dense photometric datasets. Using the lightcurve inversion method (Kaasalainen & Torppa 2001; Kaasalainen et al. 2001), we determine the pole orientation and shape model of this object based on our lightcurves along with the archival data obtained from the literatures. We derived rotational period of 6.461 h, the preliminary ecliptic longitude (${\lambda}_p$) and latitude (${\beta}_p$) of its pole as ${\lambda}_p{\sim}8^{\circ}$ and ${\beta}_p{\sim}-52^{\circ}$ which indicates a retrograde rotation of the body. From the apparent W UMa-shaped lightcurve and its location in the rotation frequency-amplitude plot of Sheppard and Jewitt (2004), we suspect the contact binary nature of the body (Choi 2016).