• 제목/요약/키워드: Non-Execution

검색결과 259건 처리시간 0.029초

CUDA 기반 영상 분할을 사용한 비사실적 렌더링 (Non-Photorealistic Rendering Using CUDA-Based Image Segmentation)

  • 윤현철;박종승
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제4권11호
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    • pp.529-536
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    • 2015
  • 비사실적 렌더링(NPR; Non-Photorealistic Rendering)은 2차원 영상과 3차원 모델을 대상으로 하는 방법이 다르며 각각의 대상에 NPR을 적용하여 두 콘텐츠를 혼합하면 이질감이 나타나는 문제점이 있다. 본 논문에서는 3차원 객체와 영상에 있어서 각각의 대상에 카툰 및 스케치와 같은 비사실적 효과를 적용하여 조화롭게 혼합하는 기법을 제시한다. 제안 기법은 2차원 영상의 데이터를 분석하여 컬러 분포 특징을 얻고 이를 이용하여 실사 영상이나 3D 객체의 컬러 수를 줄인다. 단순화된 컬러맵과 윤곽선 에지 데이터로부터 비사실적 렌더링을 실시한다. 컬러맵 정보의 추출 및 적용 과정에서 자연스러운 장면 연출을 위해서 영상분할 과정이 필요하다. 그러나 영상분할 기법은 많은 연산을 필요로 한다. 특히 크기가 큰 입력에 대해서는 비사실적 렌더링에 많은 시간이 소요된다. 처리 시간이 많은 영상분할의 고속화를 위하여 GPU(Graphics Processing Unit)를 이용한 병렬 컴퓨팅을 할 수 있는 GPGPU(General-Purpose GPU)를 사용한다. GPGPU의 사용으로 알고리즘의 수행속도를 크게 개선하였다. 또한 영상분할 후 단순화된 컬러를 추출하여 일련의 컬러맵을 생성한 뒤 3D 객체에 NPR을 적용할 때 추출해낸 컬러맵을 적용하여 2차원 영상과 3차원 객채 간의 이질감을 줄이고 조화롭게 하였다.

화학물질 취급사업장 대상 물질안전보건자료 제도 이행실태 불시감독 결과 및 시사점 (Results and Implications of Unannounced Supervision of MSDS Implementation Status at Chemical Handling Workplaces)

  • 심우섭;안유진
    • 한국산업보건학회지
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    • 제33권3호
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    • pp.265-272
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    • 2023
  • Objectives: Since the material safety data sheets(MSDS) submission and non-disclosure review system was introduced in January 2021, the implementation status of MSDS for chemical manufacturing and importing workplaces being supervised for the first time. Methods: A supervisory team consisting of two labor inspectors and one from the Korea Occupational Safety and Health Agency directly visited the selected workplaces to check compliance with the MSDS system as a whole. Results: As a result of supervising 214 chemical substance manufacturing/importing workplaces, a total of 241 violations of the law were found in 121 workplaces, or 57% of them. In response, the Ministry of Employment and Labor took legal action on 8 cases in 6 locations, imposed a fines totaling of 249.69 million won on 120 chemical handling workplaces, and took action to correct the violations immediately. Conclusions: Major violations were in the order of non-request for warning signs, non-submission of MSDS, non-execution of MSDS training, and non-posting of MSDS. This shows the reality that employers who handle chemical substances are sufficiently communicating chemical information to workers. In the future, the government will actively implement preparation and submission support and system guidance for the implementation of the MSDS system, while making efforts to ensure that the MSDS system works well in the field through thorough on-site supervision in the future.

인공신경망을 이용한 N치 예측 (A Prediction of N-value Using Artificial Neural Network)

  • 김광명;박형준;구태훈;김형찬
    • 지질공학
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    • 제30권4호
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    • pp.457-468
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    • 2020
  • 플랜트, 토목 및 건축 사업에서 말뚝(Pile) 설계 시 어려움을 겪는 주된 요인은 지반 특성의 불확실성이다. 특히 표준관입시험(Standard Penetration Test, SPT)을 통해 측정되는 N치를 얻는 것이 가장 중요한 자료이나 광범위한 모든 지역에서 구하는 것은 어려운 현실이다. 짧은 해외사업 입찰기간 내에 시추조사를 할 경우 인허가, 시간, 비용, 장비접근, 민원 등 많은 제약요건이 존재하여 전체적인 시추조사가 어렵다. 미시추 지점에서 지반 특성은 엔지니어의 경험적 판단에 의존하여 파악되고 있고, 이는 말뚝의 설계 및 물량산출 오류로 이어져서, 공기 지연 및 원가 증가의 원인이 되고 있다. 이를 극복하기 위해서, 한정된 최소한의 지반 실측 자료를 활용하여 미시추 지점에서도 N치를 예측 할 수 있는 기술이 요구되며, 본 연구에서는 AI기법 중 하나인 인공신경망을 적용하여 N치를 예측하는 연구를 수행하였다. 인공신경망은 제한된 양의 지반정보와 생물학적인 로직화 과정을 통하여 입력변수에 대한 보다 신뢰성 있는 결과를 제공하여 준다. 본 연구에서는 최소한의 시추자료의 지반정보를 입력항목으로 하여 다층퍼셉트론과 오류역전파 알고리즘에 의하여 학습된 패턴을 가지고 미시추 지점에서 N치를 예측하는데 그 목적을 두고 있다. 이를 위하여 2개 현장(필리핀, 인도네시아)에 AI기법 적용시 실측값과 예측값에 대한 적정성을 검토하였고, 그 결과 예측값에 대한 신뢰도가 높은 것으로 연구 검토되었다.

산정특례제도가 미충족 의료경험에 미치는 영향: 2·4차 한국의료패널자료를 이용하여 (The Relief Effect of Copayment Decreasing Policy on Unmet Needs in Targeted Diseases)

  • 최재우;김재현;박은철
    • 보건행정학회지
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    • 제24권1호
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    • pp.24-34
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    • 2014
  • Background: Bankrupted households have recently been increased due to excessive medical expenditure in Korea. They have not been protected from economic risk when household's member has severe diseases that need a lot of money for treatment. Purpose of this study examines policy effect by comparing unmet needs' change of policy object households and non-object groups. Methods: We used Korea Health panel 2nd 4th data collected by Korea Institute for Health and Social Affairs and National Health Insurance Service. Analysis subjects were 381 households (pre-policy) and 393 households (post-policy) that had cancer and cardiovascular and cerebrovascular diseases. Since it was major concern that estimates benefit strengthening policy started by certain time, we setup comparing households which had diabetes, hypertension disease. Comparison subjects were 393,247 households, respectively and we evaluated policy effect using difference in difference (DID) model. Results: Although unmet needs of policy object households were higher than non-object groups, policy execution variable affected negative direction. But interaction-term which shows pure effect of policy was not statistically significant. We utilized multi-DID model to examine factors affecting unmet needs causes. Copayment assistance policy did not significantly affect households that responded to 'economic reason,' and 'no have time to visit' for unmet needs causes. Conclusion: The second copayment assistance policy did not significantly give positive effect to beneficiary households than non-beneficiary groups. When we consider that primary purpose of public insurance guarantee high medical expenditure occurred by unexpected events, it needs to deliberate on switch of benefit strengthening policy that can assist vulnerable people. Also, we suggest that government forward a policy covering non-reimbursable medical expenses as well as switch of benefit strengthening direction because benefit policy do not affect non-covered medical cost which accounts for quarter of total health expenditure.

개방형 웹 서버스를 위한 증가적 얼굴 어노테이션 (Incremental Face Annotation for Open Web Service)

  • 최권택;변혜란
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제36권8호
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    • pp.673-682
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    • 2009
  • 최근 Flickr, Facebook, Cyworld 처럼 사진 공유를 기반으로 하는 소셜 웹 서비스의 성공과 발달로 얼굴 검출/인식 기술을 이러한 서비스에 접목하려는 다양한 시도가 진행되고 있다. 그러나 인식률 향상에만 초점을 맞춘 기존의 일관처리 기반의 연구들은 수백만의 이용자가 수시로 접근하는 서비스에 적용하기 어렵다. 본 논문에서는 시간에 따라 증가하는 거대한 얼굴 영상 데이터베이스를 효과적으로 분류하기 위해 랜덤 사상(Random Projectio, RP) 비선형 회귀(Non-linear Regression) 그리고 REST(REpresen tational State Transfer) 규약을 사용해 새로운 증가적 얼굴 어노테이션 방법을 제안하고자 한다. 다양한 비교실험 결과에서 제안된 방법은 향상된 인식률과 낮은 계산 복잡도 기록했다. 따라서 제안된 방법은 대규모 웹서비스에 적합한 열굴 어노테이션 알고리즘이다.

Kernel Thread Scheduling in Real-Time Linux for Wearable Computers

  • Kang, Dong-Wook;Lee, Woo-Joong;Park, Chan-Ik
    • ETRI Journal
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    • 제29권3호
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    • pp.270-280
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    • 2007
  • In Linux, real-time tasks are supported by separating real-time task priorities from non-real-time task priorities. However, this separation of priority ranges may not be effective when real-time tasks make the system calls that are taken care of by the kernel threads. Thus, Linux is considered a soft real-time system. Moreover, kernel threads are configured to have static priorities for throughputs. The static assignment of priorities to kernel threads causes trouble for real-time tasks when real-time tasks require kernel threads to be invoked to handle the system calls because kernel threads do not discriminate between real-time and non-real-time tasks. We present a dynamic kernel thread scheduling mechanism with weighted average priority inheritance protocol (PIP), a variation of the PIP. The scheduling algorithm assigns proper priorities to kernel threads at runtime by monitoring the activities of user-level real-time tasks. Experimental results show that the algorithms can greatly improve the unexpected execution latency of real-time tasks.

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적은 소모량과 불분명한 소모패턴을 가진 수리부속의 수요예측 (Demand Forecast of Spare Parts for Low Consumption with Unclear Pattern)

  • 박민규;백준걸
    • 한국군사과학기술학회지
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    • 제21권4호
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    • pp.529-540
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    • 2018
  • As the equipment of the military has recently become more sophisticated and expensive, the cost of purchasing spare parts is also steadily increasing. Therefore, demand forecast accuracy is also becoming an issue for the effective execution of the spare parts budget. This study predicts the demand by using the data of spare parts consumption of the KF-16C fighter which is being operated in the Republic of Korea Air Force. In this paper, SARIMA(Seasonal Autoregressive Integrated Moving Average) is applied to seasonal data after dividing the spare parts consumptions into seasonal data and non-seasonal data. Proposing new methods, Majority Voting and Hybrid Method, to the non-seasonal data which consists of spare parts of low consumption with unclear pattern, We want to prove that the demand forecast accuracy of spare parts improves.

비 최소 다중 UIO를 이용한 최적화된 시험열 생성 (Optimal test sequence generation scheme using non-minimal multiple UIO)

  • 임상용;양대헌;강명호;송주석
    • 한국통신학회논문지
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    • 제22권10호
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    • pp.2357-2363
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    • 1997
  • 본 논문에서는 최소 다중 UIO를 사용했을 때보다 비 최소 다중 UIO를 사용했을 때 시험열의 길이가 줄어들 수 있음을 보여준다. 본 논문에서 제안하는 시험열 생성 방법은 Shen의 방법이 어떤 상태에서 들어오는 에지와 나가는 에지의 차가 클 때에는 최적화된 시험열을 생성하지 못한다는 데에 기초하고 있다. 이 성질을 이용하여 시험열의 길이를 줄이는 관점에서 UIO에 기초한 보다 향상된 기법을 제안하고 기존의 방법과 시험열의 길이와 적합성 검사를 위하여 걸리는 시간, 시험열을 생성하는데 걸리는 시간이 보다 효율적임을 기존의 방법과 비교하여 설명한다.

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A Study on the Impact of Management's Strategic Leadership and Management Strategy on Organizational Performance: Focusing on Small and Medium Venture Companies

  • Kim, Moon Jun
    • International journal of advanced smart convergence
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    • 제9권1호
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    • pp.121-131
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    • 2020
  • We study empirically analyzes the relationship between the leadership styles and management strategies of executives perceived by members of small and medium venture companies through organizational performance through SPSS 24.0. The empirical results are as follows. First, the hypothesis that the strategic leadership of the one-level management team had a significant influence on the management strategy showed that strategic leadership (strategic direction, strategic control, maintaining effective organizational culture, ethical management, human resource development, competency development) The relationship between positive cost, strategy of differentiation, and strategy of concentration was positive. Second, the hypothesis 2 management strategy (cost advantage strategy, differentiation strategy, centralization strategy) was statistically significant for both organizational performance (financial performance and non-financial performance). Therefore, management strategy implemented by management acts as a factor to improve organizational performance. Therefore, the execution ability of management strategy should be strengthened. Third, hypothesis 3 (Strategic Direction, Strategic Control, Maintaining Effective Organizational Culture, Ethical Management, Human Resource Development, Competency Development) could be identified as an important role factor for financial and non-financial performance. The organizational performance of SMEs has been a key factor in the strategic leadership and management strategy implemented by management. Therefore, the establishment and implementation of various practical measures to upgrade this were continuously required.

Dose Motor Inhibition Response Training Using Stop-signal Paradigm Influence Execution and Stop Performance?

  • Son, Sung Min
    • The Journal of Korean Physical Therapy
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    • 제32권2호
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    • pp.70-74
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    • 2020
  • Purpose: This study examined whether 1) the motor inhibition response as cognitive-behavioral component is learning though a stop signal task using stop-signal paradigm, and 2) whether there is a difference in the learning degree according to imagery training and actual practice training. Methods: Twenty young adults (males: 9, females: 11) volunteered to participate in this study, and were divided randomly into motor imagery training (IT, n=10) and practice training (PT, n=10) groups. The PT group performed an actual practice stop-signal task, while the IT group performed imagery training, which showed a stop-signal task on a monitor of a personal computer. The non-signal reaction time and stop-signal reaction time of both groups were assessed during the stop-signal task. Results: In the non-signal reaction time, there were no significant intra-group and inter-group differences between pre- and post-intervention in both groups (p>0.05). The stop-signal reaction time showed a significant difference in the PT group in the intra-group analysis (p<0.05). On the other hand, there was no significant intra-group difference in the IT group and inter-group difference between pre- and post-intervention (p>0.05). Conclusion: These results showed that the motor inhibition response could be learned through a stop-signal task. Moreover, these findings suggest that actual practice is a more effective method for learning the motor inhibition response.