• 제목/요약/키워드: Space score

검색결과 277건 처리시간 0.027초

Evaluation of a Solar Flare Forecast Model with Cost/Loss Ratio

  • Park, Jongyeob;Moon, Yong-Jae;Lee, Kangjin;Lee, Jaejin
    • 천문학회보
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    • 제40권1호
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    • pp.84.2-84.2
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    • 2015
  • There are probabilistic forecast models for solar flare occurrence, which can be evaluated by various skill scores (e.g. accuracy, critical success index, heidek skill score, true skill score). Since these skill scores assume that two types of forecast errors (i.e. false alarm and miss) are equal or constant, which does not take into account different situations of users, they may be unrealistic. In this study, we make an evaluation of a probabilistic flare forecast model (Lee et al. 2012) which use sunspot groups and its area changes as a proxy of flux emergence. We calculate daily solar flare probabilities from 1996 to 2014 using this model. Overall frequencies are 61.08% (C), 22.83% (M), and 5.44% (X). The maximum probabilities computed by the model are 99.9% (C), 89.39% (M), and 25.45% (X), respectively. The skill scores are computed through contingency tables as a function of forecast probability, which corresponds to the maximum skill score depending on flare class and type of a skill score. For the critical success index widely used, the probability threshold values for contingency tables are 25% (C), 20% (M), and 4% (X). We use a value score with cost/loss ratio, relative importance between the two types of forecast errors. We find that the forecast model has an effective range of cost/loss ratio for each class flare: 0.15-0.83(C), 0.11-0.51(M), and 0.04-0.17(X), also depending on a lifetime of satellite. We expect that this study would provide a guideline to determine the probability threshold for space weather forecast.

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국립대학 공간 활용과 관리에 관한 조사연구 (A Survey Study on Space Use and Management at National Universities)

  • 이화룡;조창희;류수훈;김태형;류춘근;서붕교
    • 교육시설 논문지
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    • 제21권3호
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    • pp.3-10
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    • 2014
  • A study of facility securement and space utilization at national universities in Korea was conducted in order to help develop an efficient model for space management at national universities going forward. For the study, 36 national universities were asked to submit answers to a questionnaire on usage of campus facilities in 2013. We then analyzed the results of space management for the 27 universities that participated in the questionnaire in each of the past three years (2011-2013). Lastly, we conducted an awareness test on the space utilization policies and space management for these universities. The results are as follows. First, the aggregate average score for space utilization over the past three years is 74.06. The annual average score increased year-over-year and then decreased; it was 69.44 in 2011, 80.68 in 2012, and 72.05 in 2013. A decline in the sense of responsibility of universities to effectively manage space appears to be a factor in the decrease. Second, with 53% of respondents in agreement, treatment of campus area as private space appears to be the biggest hurdle for efficient space management. As such, a plan to foster a more communal view of campus facility area is required. Third, resistance from constituents to existing guidelines for space allocation on campuses appears to be limited (78.1% of respondents answered the guidelines currently in place were average, satisfactory, or very satisfactory). We believe this result points to a mutual understanding forming amongst constituents regarding guidelines on space allocation on campus.results of satisfaction research: the users are generally satisfied with education and student.

Evaluation of the Combat Aircraft Susceptibility Against Surface-Based Threat Using the Weighted Score Algorithm

  • Kim, Joo-Young;Kim, Jin-Young;Lee, Kyung-Tae
    • International Journal of Aeronautical and Space Sciences
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    • 제12권4호
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    • pp.396-402
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    • 2011
  • Aircraft combat survivability is an essential factor in the design of combat aircrafts that operate in an enemy air defense area. The combat aircrafts will be confronted with anti-aircraft artillery and/or surface-to-air missiles (SAM) from the ground, and their survivability can be divided into two categories: susceptibility and vulnerability. This article studies the prediction of susceptibility in the case of a one-on-one engagement between the combat aircraft and a surface-based threat. The weighted score method is suggested for the prediction of susceptibility parameters, and Monte Carlo simulations are carried out to draw qualitative interpretation of the susceptibility characteristics of combat aircraft systems, such as the F-16 C/D, and the hypersonic aircraft, which is under development in the United States, versus ground threat from the SAM SA-10.

Detecting Abnormal Human Movements Based on Variational Autoencoder

  • Doi Thi Lan;Seokhoon Yoon
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권3호
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    • pp.94-102
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    • 2023
  • Anomaly detection in human movements can improve safety in indoor workplaces. In this paper, we design a framework for detecting anomalous trajectories of humans in indoor spaces based on a variational autoencoder (VAE) with Bi-LSTM layers. First, the VAE is trained to capture the latent representation of normal trajectories. Then the abnormality of a new trajectory is checked using the trained VAE. In this step, the anomaly score of the trajectory is determined using the trajectory reconstruction error through the VAE. If the anomaly score exceeds a threshold, the trajectory is detected as an anomaly. To select the anomaly threshold, a new metric called D-score is proposed, which measures the difference between recall and precision. The anomaly threshold is selected according to the minimum value of the D-score on the validation set. The MIT Badge dataset, which is a real trajectory dataset of workers in indoor space, is used to evaluate the proposed framework. The experiment results show that our framework effectively identifies abnormal trajectories with 81.22% in terms of the F1-score.

리모델링 공동주택단지의 외부공간 성능평가 비교 연구 (The Comparative Study on Performance Evaluation of Outdoor Space for Remodeling Apartment)

  • 김호윤;이상석;유주은
    • 한국환경복원기술학회지
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    • 제19권4호
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    • pp.1-17
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    • 2016
  • In this study, remodeling projects are perceived as a sustainable urban management policy to boost the value of old apartments and stimulate urban regeneration and development. To evaluate the physical environmental performance of external spaces of remodeled apartments, an evaluation model was developed. After applying it to the target places, the following results were obtained. First, analysis of the external space change index of the target apartments revealed that institutional standards are necessary in line with the building arrangement type, parking lot expansion method, and changes in the building-to-land ratio. Second, the score ratio as to the external space change index performance is as follows: safety (48.30); pleasantness (25.90); convenience (18.90); eco-friendliness (14.90). In other words, "safety" had the biggest score ratio. Third, to boost the external space performance of remodeled apartments, the needs of residents and neighboring environmental plans should be considered from a communality standpoint.

An Extended Generative Feature Learning Algorithm for Image Recognition

  • Wang, Bin;Li, Chuanjiang;Zhang, Qian;Huang, Jifeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권8호
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    • pp.3984-4005
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    • 2017
  • Image recognition has become an increasingly important topic for its wide application. It is highly challenging when facing to large-scale database with large variance. The recognition systems rely on a key component, i.e. the low-level feature or the learned mid-level feature. The recognition performance can be potentially improved if the data distribution information is exploited using a more sophisticated way, which usually a function over hidden variable, model parameter and observed data. These methods are called generative score space. In this paper, we propose a discriminative extension for the existing generative score space methods, which exploits class label when deriving score functions for image recognition task. Specifically, we first extend the regular generative models to class conditional models over both observed variable and class label. Then, we derive the mid-level feature mapping from the extended models. At last, the derived feature mapping is embedded into a discriminative classifier for image recognition. The advantages of our proposed approach are two folds. First, the resulted methods take simple and intuitive forms which are weighted versions of existing methods, benefitting from the Bayesian inference of class label. Second, the probabilistic generative modeling allows us to exploit hidden information and is well adapt to data distribution. To validate the effectiveness of the proposed method, we cooperate our discriminative extension with three generative models for image recognition task. The experimental results validate the effectiveness of our proposed approach.

The Kinetography Model - a Mean of Producing Space Scores, Based on Recording Users' Movement in Space

  • Ardelean, Ioana
    • International Journal of Advanced Culture Technology
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    • 제7권4호
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    • pp.308-312
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    • 2019
  • When one enters a space, perceives the material geometry of that space. Walking inside buildings or across the city is generating a geometry of moving bodies that fills the space. These two geometries coexist: a static geometry of the space and an invisible one of the moving bodies. The space that we actually experience, whether interior or exterior, is a continuous network of voids. Individuals' movement will fill the network of voids that we understand as "the city". Our environment of voids and borders is organized by the means of architecture and urbanism. The geometry generated by motion affects both the limits and the voids, thus space can be defined by the tandem of the moving bodies and their environment. We propose in this study a mean of investigating users' movement and thus understanding the qualities of space while introducing the concept of space scores as analytical maps and design tools.

악보인식 전처리를 위한 강건한 오선 두께와 간격 추정 방법 (A Robust Staff Line Height and Staff Line Space Estimation for the Preprocessing of Music Score Recognition)

  • 나인섭;김수형;뀌
    • 인터넷정보학회논문지
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    • 제16권1호
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    • pp.29-37
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    • 2015
  • 이 논문에서는 모바일 기기상에서 카메라기반 악보인식을 위한 오선 두께와 오선 간격을 추정하는 전처리 기술을 제안한다. 캡쳐된 영상은 조명이나, 흐려짐, 저해상도 등의 많은 왜곡으로 인해 인식에 어려움이 있다. 특히 복잡한 배경을 가지고 있는 악보 영상인식의 경우 더욱 그렇다. 악보 기호 인식에서 오선 두께와 오선 간격은 인식에 큰 영향을 끼친다. 이들 정보는 이진화에도 사용되는데, 복잡한 배경을 가지고 있는 경우 일반적인 이진 영상은 오선 두께와 간격을 추정하는데 만족스럽지 못하다. 따라서 우리는 에지영상에서 런-길이 엔코딩 기술을 이용해 오선 두께와 간격 추정하는 강건한 알고리즘을 제안한다. 제안된 방법은 2단계로 구성되어 있다. 첫 번째 단계는 소벨 연산자에 의해 영역별로 에지 영상을 기반으로 오선 두께와 간격을 추정한다. 각 에지 영상의 열은 런-길이 엔코딩 알고리즘에 의해 기술된다. 두 번째 단계는 안정한 경로 알고리즘을 이용한 오선 검출과 오선 위치를 추적하는 적응적 LTH알고리즘을 이용한 오선 제거이다. 실험결과 복잡한 영상의 경우에도 강건함과 높은 인식률을 보였다.

SpaceNet 건물 데이터셋과 Context-based ResU-Net을 이용한 건물 자동 추출 (Automatic Building Extraction Using SpaceNet Building Dataset and Context-based ResU-Net)

  • 유수홍;김철환;권영목;최원준;손홍규
    • 대한원격탐사학회지
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    • 제38권5_2호
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    • pp.685-694
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    • 2022
  • 건물 정보는 다양한 도시 공간 분석에 활용되는 필수 정보 중 하나이기에 지속적인 모니터링이 필요하지만 현실적으로 어려움이 존재하고 있다. 이를 위해 광범위한 지역에 대해서도 지속적인 관찰이 가능한 위성영상으로부터 건물을 추출하기 위한 연구가 진행되고 있으며, 최근에는 딥러닝 기반의 시맨틱 세그멘테이션 기법들이 활용되고 있다. 본 연구에서는 SpaceNet의 건물 v2 무료 오픈 데이터를 이용하여 30 cm 급 Worldview-3 RGB 영상으로부터 건물을 자동으로 추출하기 위해, context-based ResU-Net의 일부 구조를 변경하여 학습을 진행하였다. 분류 정확도 평가 결과, f1-score가 2회차 SpaceNet 대회 수상작의 분류 정확도보다 높은 것으로 나타났다. 앞으로 지속적으로 Worldview-3 위성 영상을 확보할 수 있다면 본 연구의 성과를 활용하여 전세계 건물 자동 추출 모델을 제작하는 것도 가능할 것으로 판단된다.

쌍체비교기법을 통한 중정의 시각적 선호에 관한 연구 (A Study on the Visual Preference in Enclosed Spaces Based on the Paired Comparison Method)

  • 이태희;임승빈
    • 한국조경학회지
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    • 제14권3호
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    • pp.3-19
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    • 1987
  • The purpose of this study was to investigate desirable width / height ratio of enclosed space and to offer basic information for the design of enclosed spaces. The data of this study were gathered from the experiment through simulation. Photographic sampling of 7 campus sites located in Kwanak campus of Seoul National University and slides of perspective drawings of enclosed spaces with various D/H ratio (12, 1, 2, 4, 6, 9, 12)were used for simulation. A response format was made using the method of paired comparison and students from various departments were randomly selected for evaluation. In the method of analysis of data Thurstone's equation of Comparative Judgement was used for calculating preference score. A1so non-linear regression analysis was used for finding out relations between preference and D/H ratio. The other method of data analysis were correlation, Chi - test. And the results were summarized as follows. 1. In sketch simulation the ratio of D/H 4 got the highest preference store. This result suggests that desirable D/H ratio of enclosed space is D/H 4. And at the lower range of D/H ratio, as ratio increases, the preference score increases. At the higher range of D/H ratio, however, as ratio increases, the preference score starts to decrease from the cardinal point of D/H 4. 2. In campus photograph simulation preference is influenced by slope, elevation change of floor, trees, lawn area, familiarity, space arrangement, and exterior shape of building besides D/H ratio. 3. The preference virtue was not significantly affected by order effect. This result suggests that order effect can be ignored in the study of visual preference. 4. There are so many factors related to preference that it is difficult to explore those factors without scientific information based on scientific method. We must carry out study for scientific approach of planning and design based on precise, complete simulation technique.

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