• Title/Summary/Keyword: 페널티

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A Shortest Path Algorithm Considering Directional Delays at Signalized Intersection (신호교차로에서 방향별 지체를 고려한 최적경로탐색 연구)

  • Min, Keun-Hong;Jo, Mi-Jeong;Kho, Seung-Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.9 no.3
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    • pp.12-19
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    • 2010
  • In road network, especially in urban area, inefficiency of travel time is caused by signal control and turn maneuver at intersection and this inefficiency has substantial effects on travel time. When searching for the shortest path, this inefficiency which is caused by turn maneuver must be considered. Therefore, travel time, vehicle volume and delay for each link were calculated by using simulation package, PARAMICS V5.2 for adaptation of turn penalty at 16 intersections of Gangnam-gu. Turn penalty was calculated respectively for each intersection. Within the same intersection, turn penalty differs by each approaching road and turn direction so the delay was calculated for each approaching road and turn direction. Shortest path dealing with 16 intersections searched by Dijkstra algorithm using travel time as cost, considering random turn penalty, and algorithm considering calculated turn penalty was compared and analyzed. The result shows that by considering turn penalty searching the shortest path can decrease the travel time can be decreased. Also, searching the shortest path which considers turn penalty can represent reality appropriately and the shortest path considering turn penalty can be utilized as an alternative.

An intelligent, secure method for pattern-based digital lockers (패턴 기반 디지털 잠금에서 지능형 보안성 강화 방안)

  • Jeong, Da-Hee;Choi, Hyun-Sik;Chung, Yon-Dohn
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06d
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    • pp.54-57
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    • 2011
  • 안드로이드와 같이 패턴 잠금을 기본으로 하는 스마트폰 OS가 보급 되면서 패턴 잠금이 널리 사용되고 있다. 그러나 현재의 패턴 잠금 시스템은 패턴 입력의 실수와 악의적인 접근에 의한 입력에 대해 동일한 페널티를 부여하기 때문에 보안에 취약한 문제점을 가지고 있다. 본 논문에서는 입력 패턴의 분석 방법을 제안하고 분석을 통해, 패턴을 '일치', '부분 일치'와 '불일치'로 분류하여 그에 따른 페널티의 여부를 달리함으로써 보안을 강화하는 방법을 제시한다.

Due Date Determination on the MSD Problem with a Common Due Date Window (공통의 납기 구간을 가지는 MSD 문제에서의 납기 결정)

  • Han, Tae-Chang;Kim, Chae-Bogk;Lee, Dong-Hoon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.31 no.4
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    • pp.1-9
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    • 2008
  • JIT 생산시스템이 세계적으로 많은 회사에 적용됨에 따라 earliness와 tardiness의 페널티를 동시에 최소화하는 문제에 대한 많은 연구가 진행되어 왔다. 이 연구에서는 한정된 완료시간의 편차에 대해서는 페널티를 부과하지 않는, 즉 허용오차가 존재할 때, 공통의 납기로부터 평균제곱편차(MSD : Mean Squared Deviation)를 최소화하는 단일기계 문제를 다룬다. 허용오차가 존재하는 MSD 문제에서 최적의 공통 납기를 결정하는 방법을 개발한다. 스케줄과 허용 오차가 주어질 때, 최적의 납기를 찾는 두 개의 선형시간이 소요되는 알고리즘을 제시한다. 주어진 허용오차 중 하나는 가장 짧은 가공시간을 가지는 작업의 절반보다 작은 경우이며 다른 하나는 허용오차가 임의인 경우이다.

SMOSLG Algorithm for Digital Image Restoration (디지털 영상복원을 위한 SMOSLG 알고리즘)

  • Song, Min-Koo;Yum, Joon-Keun
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.12
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    • pp.3694-3702
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    • 1999
  • OSL algorithm has an advantage that repeated algorithm is easily derived, even though penalty function which has a complicated transcendental function. In order to solve this problem, we suggested MPEMG algorithm. However, though this algorithm extend convergence rate of smoothing constant, it include the problem that is not faster than OSL algorithm in the convergence rate increasing penalized log-likelihood. Accordingly, in this paper, we will suggest SMOSLG digital image restoration algorithm which is fast in the convergence rate as well as extend convergence region of smoothing constant. And also we will study the usefulness of algorithm suggested through digital image simulation.

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A Study on a Non-rectangular Effect in a Spectrum-Sliced System (스펙트럼 분할 시스템의 비구형 스펙트럼 효과에 관한 연구)

  • Kim, Sun-Youb;Park, Hyung-Geun;Ra, Yu-Chan
    • Proceedings of the KAIS Fall Conference
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    • 2008.05a
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    • pp.202-204
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    • 2008
  • 스펙트럼 분할 시스템에서 사용되는 광수신기의 수신감도의 해석을 위해 시스템에서 필터의 실제적인 스펙트럼 폭의 효과가 수신기의 감도에 미치는 영향에 대해 평가하였다. 전송기법으로 일반적인 디지털전송기법인 OOK와 FSK를 이용하였고, 해석방법으로는 가우시안 근사법과 ${\kappa}$-자승법으로 이용하였다. 결과로써, 필터의 차수가 증가할수록 수신기의 감도가 줄어들었고, 필터로 인한 시스템의 페널티는 필터의 차수의 N이 3보다 큰 경우에는 1dB이하로 감소됨을 확인하였다. 이를 통해 필터의 차수 N이 3이상이 되면 시스템의 페널티가 1dB이하로 줄어들기 때문에 시스템의 성능에 큰 영향을 미치지 않음을 확인할 수 있었다.

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Finite Element Analysis of Post-Buckling Phenomena Using Adaptive Load/ Displacement Parameter (선택적 하중/변위 파라미터를 이용한 좌굴후 현상의 유한요소 해석)

  • 최진민;정윤태;윤태혁;권영두
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.14 no.3
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    • pp.503-512
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    • 1990
  • In this study, a penalty method effective for the case that has no snap-back phenomenon, is proposed and an adaptive method which choose the penalty method or Riks' type method, is suggested for the case of snap-back problem. And for the case that loads are applied to one or more points of a structure, the Riks' method is applied in general, but under certain condition choice of new incremental load parameter is suggested to accelerate the convergence rate. Finally, for the case that displacements of a structure are controlled at one or more points Riks' type method is proposed. In this case, the proposed method is applied in general but under certain condition it is recommended to choose other incremental displacement parameter to eliminate probable divergence. Five examples are analysed and compared with the result of published literature.

Combining multi-task autoencoder with Wasserstein generative adversarial networks for improving speech recognition performance (음성인식 성능 개선을 위한 다중작업 오토인코더와 와설스타인식 생성적 적대 신경망의 결합)

  • Kao, Chao Yuan;Ko, Hanseok
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.6
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    • pp.670-677
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    • 2019
  • As the presence of background noise in acoustic signal degrades the performance of speech or acoustic event recognition, it is still challenging to extract noise-robust acoustic features from noisy signal. In this paper, we propose a combined structure of Wasserstein Generative Adversarial Network (WGAN) and MultiTask AutoEncoder (MTAE) as deep learning architecture that integrates the strength of MTAE and WGAN respectively such that it estimates not only noise but also speech features from noisy acoustic source. The proposed MTAE-WGAN structure is used to estimate speech signal and the residual noise by employing a gradient penalty and a weight initialization method for Leaky Rectified Linear Unit (LReLU) and Parametric ReLU (PReLU). The proposed MTAE-WGAN structure with the adopted gradient penalty loss function enhances the speech features and subsequently achieve substantial Phoneme Error Rate (PER) improvements over the stand-alone Deep Denoising Autoencoder (DDAE), MTAE, Redundant Convolutional Encoder-Decoder (R-CED) and Recurrent MTAE (RMTAE) models for robust speech recognition.

Analysis on the Type and Characteristics of Penalty in World Judo (세계유도 반칙 유형 및 특성 분석)

  • Lee, Seung Hun;Lee, Man Gi
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.607-614
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    • 2020
  • The purpose of this study is to analyze the penalty types and characteristics of world judo players. Using a total of 19,889 penalties in 9,737 matches at the World Judo Grand Prix, the team draws a difference in the types and time of fouls according to gender, weight class and time. Results Both foul play and warning showed gender differences, and both men and women affected warning rates in weight class and time classification. In addition, fouls caused by non-combat behavior and camouflage attacks have a forward direction of time, and a low time of fouling by heavyweight athletes. Judo athletes and leaders expect to be used as basic data based on scientific data, such as training, skills, tactics and motivation, taking into account the characteristics of the foul type. Requires follow-up studies of scoring relationships and winning factors.

Mean-shortfall portfolio optimization via sorted L-one penalized estimation (슬로프 방식을 이용한 평균-숏폴 포트폴리오 최적화)

  • Haein Cho;Seyoung Park
    • The Korean Journal of Applied Statistics
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    • v.37 no.3
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    • pp.265-282
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    • 2024
  • Research in the area of financial portfolio optimization, with the dual goals of increasing expected returns and reducing financial risk, has actively explored various risk measurement indicators. At the same time, the incorporation of various penalty terms to construct efficient portfolios with limited assets has been investigated. In this study, we present a novel portfolio optimization formula that combines the mean-shortfall portfolio and the SLOPE penalty term. Specifically, we formulate this optimization expression, which differs from linear programming, by introducing new variables and using the alternating direction method of multipliers (ADMM) algorithms. Through simulations, we validate the automatic grouping property of the SLOPE penalty term within the proposed mean-shortfall portfolio. Furthermore, using the model introduced in this paper, we propose and evaluate four different types of portfolio compositions relevant to real-world investment scenarios through empirical data analysis.