• 한국지능시스템학회논문지
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• 제16권6호
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• pp.647-652
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• 2006

본 논문은 일반적으로 많은 특징들을 갖고 있는 패턴 분류 문제인 감정 인식을 위한 새로운 특징 선택 방법을 제안한다. '특징 선택'은 패턴 인식 성능의 향상에 기여하고 '차원의 저주'문제에도 좋은 해결책으로 많이 사용되는 방법이다. 그래서, 본 논문에서는 강화학습의 개념을 사용한 상호 작용에 의한 특징 선택 방법인 IFS(Interactiv Feature Selection)를 고안하였고 이 알고리즘을 사용하여 선택된 특징들을 감정 인식 시스템에 적용하여 성능이 향상됨을 확인하였다. 또한 기존의 특징 선택 방법과의 비교를 통하여 본 알고리즘의 우수성을 확인하였다.

• 천문학회보
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• 제46권2호
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• pp.43.2-43.2
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• 2021

Ram-pressure stripping (RPS) is known as the main driver of quenching the star formation (SF) activity in cluster galaxies. However, galaxies undergoing RPS in galaxy clusters often show blue star-forming knots in their disturbed disks and tails. The existence of these "jellyfish galaxies" implies that RPS can temporarily boost the SF activity of cluster galaxies. Thus, jellyfish galaxies are very unique and interesting targets to study the influence of RPS on their SF activity, in particular with integral field spectroscopy (IFS). While there have been many IFS studies of jellyfish galaxies in low-mass clusters (e.g., the GASP survey), IFS studies of those in massive clusters have been lacking. We present an IFS study of five jellyfish galaxies in massive clusters at intermediate redshifts using the Gemini GMOS/IFU. Their star formation rates (SFRs) are estimated to be up to 15 Mo/yr in the tails and 50 Mo/yr in the disks. These SFRs are by a factor of 10 higher than those of star-forming galaxies on the main sequence in the M*-SFR relation at similar redshifts. Our results suggest that the SF activity of jellyfish galaxies tends to be more enhanced in massive clusters than in low-mass clusters. This implies that strong RPS in massive clusters can trigger strong starbursts.

• 한국멀티미디어학회논문지
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• 제2권1호
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• pp.38-46
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• 1999

본 논문에서는 복원시 사용될 정의역을 최소화하는 정의역 최소화 기법올 이용한 프랙탈 영상 압축방볍을 제안한디 기존의 프랙탈 영상복원은 복원하고자 하는 영상의 전체 치역블럭에 대해 반복축소변환올 적용함 으로써, 복원시 많은 계산량이 요구되었다 이를 개선하기 위해 각 치역블릭마다 정의역으로 참조된 횟수를 이용하여, 반복변환이 필요한 영역과 필요하지 않은 영역으로 구분하는 방법이 제시된 바 있다. 반복변환이 펼요한 영역이 감소할수록 복원시 계산량은 감소한다. 제안한 방법은 반복변환이 필요한 영역이 최소가 되는 최소정의역을정의하고,부호화시 정의역이 최소가되도록부호화하는알고리듬이다.즉,정의역의 탐색영역 을 치역과 비슷한 영역으로 제한하여, 정의역이 더 많이 중복되거나 중첩되도록 하였다 그 결과 프랙탈 영상 복원시 화질이나 압축율에 거의 영향을 미치지 않고, 반복변환에 필요한 계산량이 감소함으로써 고속 복원이 가능하였다.

• 융합신호처리학회논문지
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• 제2권2호
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• pp.13-19
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• 2001

기존의 프랙탈 영상복원은 모든 치역 블럭에 대해 반복축소변환을 수행하므로 복원시 많은 계산량이 요구되었다. 이를 개선하기 위해 각 치역 블럭마다 반복축소변환이 필요한 영역과 필요하지 않은 영역으로 구분하는 방법이 제시된 바 있다. 반복축소변환이 필요 없는 영역을 데이타 의존영역이라 하고, 데이타 의존영역이 확장될수록 반복축소변환 영역은 줄어든다. 그래서 본 논문에서는 정의역 블록의 탐색 영역을 치역과 비슷한 영역으로 제한하여, 정의역 블럭이 더 많이 중복되도록 부호화하여 데이타 의존영역을 최대화 즉, 반복축소변환 영역을 최소화한다. 반복축소변환 영역이 최소가 되는 정의역을 정의역 최소화 기법으로 정의한다. 그래서 정의역 최소화 기법을 이용하여 프랙탈 영상 복원시 화질에 거의 영향을 미치지 않고, 반복축소변환에 필요한 계산량을 감소시켜 고속 복원이 가능하다.

• 제어로봇시스템학회논문지
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• 제12권7호
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• pp.666-670
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• 2006

This paper presents the novel feature selection method for Emotion Recognition, which may include a lot of original features. Specially, the emotion recognition in this paper treated speech signal with emotion. The feature selection has some benefits on the pattern recognition performance and 'the curse of dimension'. Thus, We implemented a simulator called 'IFS' and those result was applied to a emotion recognition system(ERS), which was also implemented for this research. Our novel feature selection method was basically affected by Reinforcement Learning and since it needs responses from human user, it is called 'Interactive feature Selection'. From performing the IFS, we could get 3 best features and applied to ERS. Comparing those results with randomly selected feature set, The 3 best features were better than the randomly selected feature set.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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• pp.321-323
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• 2006

The IEEE 802.15.4 uses a CSMA/CA algorithm on access of media. The CSMA/CA algorithm does Random Backoff before the data is transmitted to avoid collisions. The random backoff is a kind of unavoidable delays and introduces the side effect of energy consumptions. To cope with those problems we propose a new media access algorithm, the Priority Based Ordered Media Access (PBOMA) algorithm, which uses different IFSs. The PBOMA algorithm uses Sampling Rate and Beacon Interval to get a different access probability(or IFS). The access probability is higher, the IFS is shorter. Note that The transfer of urgent data uses tone signal to transmit it immediately. The proposed algorithm is expected to reduce the energy consumptions and the delay.

• 대한수학회논문집
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• 제28권1호
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• pp.155-162
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• 2013

Although the snowflake curve, the boundary of the Koch snowflake, is one of the well-known fractals, there is no iterated function system (IFS) for it in the literature. In this study, we give an IFS for this familiar closed curve.

• 국제초고층학회논문집
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• 제10권3호
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• pp.165-171
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• 2021

Core-outrigger-mega frame system is used in Suzhou IFS with 95-story, 450 m-tall, which is beyond Chinese code limit. Besides simple introduction on design principle, structure system and analysis, key techniques including performance based design criteria, frame shear ratio, capacity check of mega column, human comfort criteria under wind induced vibration and TSD design were presented in details for reference of similar super tall building design.

• Smart Structures and Systems
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• 제33권2호
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• pp.145-163
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• 2024

The evaluation of dynamic characteristics of bridges under operational traffic loads is a crucial aspect of bridge structural health monitoring. In the vehicle-bridge interaction (VBI) system, the vibration responses of bridge exhibit time-varying characteristics. To address this issue, an accurate time-frequency analysis method that combines the autoregressive power spectrum based empirical wavelet transform (AR-EWT) and local maximum synchrosqueezing transform (LMSST) is proposed to identify the time-varying instantaneous frequencies (IFs) of the bridge in the VBI system. The AR-EWT method decomposes the vibration response of the bridge into mono-component signals. Then, LMSST is employed to identify the IFs of each mono-component signal. The AR-EWT combined with the LMSST method (AR-EWT+LMSST) can resolve the problem that LMSST cannot effectively identify the multi-component signals with weak amplitude components. The proposed AR-EWT+LMSST method is compared with some advanced time-frequency analysis techniques such as synchrosqueezing transform (SST), synchroextracting transform (SET), and LMSST. The results demonstrate that the proposed AR-EWT+LMSST method can improve the accuracy of identified IFs. The effectiveness and applicability of the proposed method are validated through a multi-component signal, a VBI numerical model with a four-degree-of-freedom half-car, and a VBI model experiment. The effect of vehicle characteristics, vehicle speed, and road surface roughness on the identified IFs of bridge are investigated.

• Imaging Science in Dentistry
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• 제50권1호
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• pp.53-64
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• 2020

Purpose: The aim of this study was to determine the prevalence of incidental findings(IFs) on digital dental panoramic radiographs(DPRs) of asymptomatic patients attending a general dental practice. Materials and Methods: This was a retrospective study of 6,252 consecutive digital (photostimulatable phosphor) DPRs of patients who visited a Canadian general dental practice for a complete new patient examination. The IFs were grouped into dental-related anomalies, radiopacities and radiopacities in the jaws, changes in the shape of the condyles, and other findings in the jaws, such as tonsilloliths and mucosal antral pseudocysts. Their prevalence was determined. Results: Thirty-two percent of the DPRs showed at least 1 IF. The highest prevalence was found for dental-related anomalies(29% of all DPRs), of which impacted teeth were the most prevalent finding (24% of all DPRs), followed by idiopathic osteosclerosis(6% of all DPRs). A lower prevalence was noted for tonsilloliths(3%), and the prevalence of root tips, mucosal antral pseudocysts, and anomalies in condylar shape was approximately 1% each. Conclusion: The observed prevalence of 32.1% for IFs of any type underscores the need for a dental practitioner to review the entire DPR when a patient presents for an initial dental examination (or check-up) or for dental hygiene. Only a single IF (a central giant cell granuloma) provoked alarm, as it was initially considered malignant. Similarly, impacted teeth and suspected cysts need careful evaluation upon discovery to determine how they may be optimally managed.