• Title/Summary/Keyword: exposure algorithm

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Improved dynamic range of the camera image by using double-exposure image processing method for mobile phone cameras

  • Jang, Won-Woo;Kwak, Boo-Dong;Ha, Joo-Young;Kang, Bong-Soon;Lee, Gi-Dong
    • Journal of information and communication convergence engineering
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    • 제7권3호
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    • pp.323-329
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    • 2009
  • In this paper, we propose the improvement method of the camera images regardless of exposure environments. By using a double-exposure method, we could improve camera images with clear recognition. We applied the improvement method on the mobile phone. For the feasibility of the proposed algorithm, we compared simulated camera images with the proposed method to conventional images by using auto-exposure image. Experimental results are also shown in this paper.

고무풍선 중 니트로스아민류의 노출평가 연구 (Oral Exposure Assessment of N-Nitrosamines from Rubber Balloons in Korea)

  • 김현경;이기영
    • 한국환경보건학회지
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    • 제49권4호
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    • pp.210-217
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    • 2023
  • Background: N-nitrosamines are carcinogenic substances often found in rubber products. They are produced when certain additives of rubber products react with nitrite in saliva or air. Exposure assessment for the proper management and communication of N-nitrosamines in rubber balloons should be carried out. Objectives: This study was conducted to determine the concentrations of N-nitrosamines in rubber balloons in the South Korean market and assess exposure among Korean children. Methods: Forty eight rubber balloon products in the domestic market were purchased and a total of 68 balloons were analyzed for N-nitrosamines and N-nitrosatable substances. Chemical analysis was conducted by HPLC-MS/MS according to the method EN 71-12. For exposure assessment, an exposure algorithm and coefficients were obtained from previous studies. Results: Among the 68 rubber balloons, N-nitrosamines were detected in 18 (26.5%) with an average level of 60.77 ㎍/kg. N-Nitrosatable substances were detected in 44 products (64.7%) with an average level of 1353.33 ㎍/kg. As a result of the exposure evaluation, the exposure dose differed according to how exposure coefficients were applied. The median exposure (50th percentile) was higher in the age group of 6~12 years, and high exposure (95th percentile) was higher in the age group of 13~18. Conclusions: We evaluated the N-nitrosamines contained in rubber balloons purchased in the domestic market and assessed oral exposure among South Korean children. For integrated risk management of N-nitrosamines, further studies and discussion regarding exposure and risk assessment are required.

가변 시상수를 이용한 자동 노출제어 시스템 (Auto Exposure Control System using Variable Time Constants)

  • 김현식;이성목;장원우;하주영;김주현;강봉순;이기동
    • 한국정보통신학회논문지
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    • 제11권2호
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    • pp.257-264
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    • 2007
  • 사진을 찍을 때 카메라는 보기 좋은 사진을 얻을 수 있도록 많은 기능을 제공하고 있다. 대표적인 기능으로 자동 초점거리 조정(Auto Focus), 자동 색온도 보정(Auto White Balance), 자동 노출 조정(Auto Exposure)이 있다. 본 논문에서는 편리한 기능들 중 하나로서 새로운 자동 노출제어 시스템을 제안한다. 본 논문에서 제안하는 자동 노출제어 시스템은 가변 시상수(Variable Time Constant)를 가지는 IIR Filter를 이용한다. 먼저 노출제어의 기준을 정하기 위해서 사진에서 밝기변화와 Zone System에서 보여주는 사물의 휘도정보를 비교하여 이상적인 휘도변화 특성 그래프를 얻는다. 얻어진 이상적인 휘도 변화 그래프와 현재의 노출설정을 비교하여 적정 노출의 설정을 찾는다. 제안하는 자동 노출제어 시스템은 적정 노출을 얻을 수 있는 설정으로 조정하기 위해 기존의 마이크로 콘트롤러 등을 이용하여 구현하는 방법과 달리 IIR Filter를 사용하므로 간단한 구성을 가지며 콤팩트 이미지 센서모듈(ISM)를 구성하기 위하여 사용할 수 있다.

건설업 유해화학물질 노출 모델의 개발 및 검증: Tier-1 노출 모델 (Development and Validation of Exposure Models for Construction Industry: Tier 1 Model)

  • 김승원;장지영;김갑배
    • 한국산업보건학회지
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    • 제24권2호
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    • pp.208-218
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    • 2014
  • Objectives: The major objective of this study was to develop and validate a tier 1 exposure model utilizing worker exposure monitoring data and characteristics of worker activities routinely performed at construction sites, in order to estimate worker exposures without sampling. Methods: The Registration, Evaluation, Authorization and Restriction of Chemicals(REACH) system of the European Union(EU) allows the usage of exposure models for anticipating chemical exposure of manufacturing workers and consumers. Several exposure models have been developed such as Advanced REACH Tools(ART). The ART model is based on structured subjective assessment model. Using the same framework, a tier 1 exposure model has been developed. Worker activities at construction sites have been analyzed and modifying factors have been assigned for each activity. Korean Occupational Safety and Health Agency(KOSHA) accrued work exposure monitoring data for the last 10 years, which were retrieved and converted into exposure scores. A separate set of sampling data were collected to validate the developed exposure model. These algorithm have been realized on Excel spreadsheet for convenience and easy access. Results: The correlation coefficient of the developed model between exposure scores and monitoring data was 0.36, which is smaller than those of EU models(0.6~0.7). One of the main reasons explaining the discrepancy is poor description on worker activities in KOSHA database. Conclusions: The developed tier 1 exposure model can help industrial hygienists judge whether or not air sampling is required or not.

방사성 폐기물 작업 중의 피폭서량 예측 프로그램 개발 (Development of Exposure Level Prediction Program in Radioactive Waste Work)

  • 박원만;김윤혁;황주호
    • 대한인간공학회지
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    • 제24권2호
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    • pp.71-77
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    • 2005
  • In spite of the importance of nuclear power as one of major electric energies in Korea, the nuclear safety has become the most serious social issue in the operation of the nuclear power plant. In this paper, a virtual work simulation program was developed to predict exposure dose during radiation work in radwaste storage. The work simulation program was developed. using $Java ^{TM}$applet and VRML-virtual reality modeling language. A numerical algorithm to find the optimal work path which minimize exposure dose during the given work, was developed and exposure dose on the optimal work path was compared with that on the shortest path. Comparing with the shortest path for the given work, the predicted optimal path consumed longer work time by II% but reduced total exposure dose by 46%. The simulation result showed that the exposure dose depended on not only work time, but also the distance between the worker and the radiation source. The developed simulation program could be a useful tool for the planning of radioactive waste work to increase the radiation safety of workers.

ICRP 103 방사선방호 체계 하에서 유효선량 평가를 위한 Two-Dosimeter Algorithm의 적용방안 (Application of the Two-Dosimeter Algorithm for Effective Dose Evaluations based on ICRP Publication 103)

  • 김희근;공태영
    • Journal of Radiation Protection and Research
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    • 제36권3호
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    • pp.154-159
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    • 2011
  • 국내 원전에서는 고 방사선량율 또는 고피폭 예상 방사선작업에 종사자의 가슴과 등에 두 개의 개인선량계를 패용하여 피폭방사선량을 평가하고 있다. 이러한 Two-Dosimeter Algorithm (TDA)으로 현장시험과 심층검토를 통해 NCRP(55:50) TDA를 최적 알고리즘으로 최종적으로 선정하였고, 2006년 이후 원전 종사자의 피폭방사선량 평가 실무에 적용 중에 있다. 한편, 2007년 국제방사선방호위원회(ICRP)는 간행물 ICRP 103을 통해 방사선가중계수 및 조직가중계수와 기준 인체모형팬텀(Reference phantom) 등을 일부 변경한 유효선량 평가방법을 제시하였다. 이에 따라 본 논문에서는 국내원전에서 적용되고 있는 NCRP (55:50) TDA에 대해 ICRP 103 방사선방호 체계 하에서의 계속 적용 타당성을 분석하였다. 그 결과, NCRP (55:50) TDA를 계속 사용하더라도 ICRP 103의 유효선량을 신뢰성 있게 평가할 수 있는 것으로 판단되었다.

투과형 CT에서 통계적 재구성 알고리즘의 수렴률 향상 방안 (Methods to Improve Convergence Rate of Statistical Reconstruction Algorithm in Transmission CT)

  • 송민구
    • 사물인터넷융복합논문지
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    • 제10권3호
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    • pp.25-33
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    • 2024
  • 토머그래피 영상재구성에서 초점은 높은 이미지 품질을 유지하면서 환자의 방사선 노출을 줄일 수 있는 CT 영상재구성 방법을 개발하는 것이다. 일반적으로 통계적 영상재구성 방법은 고품질 및 정확한 이미지를 생성할 수 있는 능력을 개선하면서 환자의 방사선 노출을 크게 줄일 수 있다. 그런데 CT 영상재구성과 같은 다차원의 모수 추정인 경우에서는 그것의 페널티 함수의 헤이지안 행렬의 역행렬 차수가 매우 크기 때문에 구할 수가 없다. 이러한 문제점을 해결하기 위하여 저자는 PEMG-1 알고리즘을 제안하였다. 그러나 PEMG-1 알고리즘은 일반 통계적 영상재구성 방법처럼 페널티 로그우도를 증가시키는 수렴속도에 문제점이 있다. 이에 본 연구에서는 수렴속도가 빠르고 우도의 단조 증가성을 보장하는 재구성 알고리즘을 제안한다. 이 알고리즘의 기본 구조는 반복마다 모수들을 동시에 갱신하지 않고 몇 개의 픽셀로 이루어진 그룹들을 순차적으로 갱신하는 방법이다.

슬라임(액체괴물) 중 붕소 함량과 어린이의 붕소 노출량 추정 (Estimation of Exposure to Boron from Children's Slime Use in Korea)

  • 박지영;임미영;이기영
    • 한국환경보건학회지
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    • 제44권6호
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    • pp.556-562
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    • 2018
  • Objectives: This study was conducted to investigate the boron concentrations in 30 slime products and estimate children's dermal exposure to boron. Methods: Thirty slime products from online and offline stores were purchased for boron analysis. The boron content of each slime sample was analyzed using ICP-OES. A nationwide survey was performed to determine use patterns of slimes by a home-visit survey of 10,000 children divided into three age groups: 0-2, 3-6, and 7-12 years. The dermal exposure to boron was calculated using an exposure algorithm for child slime users. Results: The proportion of the child population using slime was 45.8%, and the mean use frequency was $2.5{\pm}3.8$ per week (range: 0.08-35). Mean time spent playing with slime was $19.6{\pm}11.3min$ (range: 1-100). Twenty-five of the thirty slimes contained a boron concentration exceeding the EU limit for toys made with sticky material of 300 mg/kg. Dermal exposure ranged from $0.0008-13.78{\mu}g/kg/day$ with the maximum weight fractions of boron in the 30 products. The dermal exposure estimate was the highest in 7-12 years old group. Conclusion: Slime use among Korean children may cause high exposure to boron. Regulation is needed to minimize boron exposure from slime products.

DL-RRT* algorithm for least dose path Re-planning in dynamic radioactive environments

  • Chao, Nan;Liu, Yong-kuo;Xia, Hong;Peng, Min-jun;Ayodeji, Abiodun
    • Nuclear Engineering and Technology
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    • 제51권3호
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    • pp.825-836
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    • 2019
  • One of the most challenging safety precautions for workers in dynamic, radioactive environments is avoiding radiation sources and sustaining low exposure. This paper presents a sampling-based algorithm, DL-RRT*, for minimum dose walk-path re-planning in radioactive environments, expedient for occupational workers in nuclear facilities to avoid unnecessary radiation exposure. The method combines the principle of random tree star ($RRT^*$) and $D^*$ Lite, and uses the expansion strength of grid search strategy from $D^*$ Lite to quickly find a high-quality initial path to accelerate convergence rate in $RRT^*$. The algorithm inherits probabilistic completeness and asymptotic optimality from $RRT^*$ to refine the existing paths continually by sampling the search-graph obtained from the grid search process. It can not only be applied to continuous cost spaces, but also make full use of the last planning information to avoid global re-planning, so as to improve the efficiency of path planning in frequently changing environments. The effectiveness and superiority of the proposed method was verified by simulating radiation field under varying obstacles and radioactive environments, and the results were compared with $RRT^*$ algorithm output.

적분 영상과 MSRCR 기법을 이용한 국부적응적 HDR 알고리즘 (A Locally Adaptive HDR Algorithm Using Integral Image and MSRCR Method)

  • 한규필
    • 한국멀티미디어학회논문지
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    • 제25권9호
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    • pp.1273-1283
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    • 2022
  • This paper presents a locally adaptive HDR algorithm using the integral image and MSRCR for LDR images with inadequate exposure. There are two categories in controlling the dynamic range, which are global and local tone mappings. Since the global ones are relatively simple but have some limitations at considering regional characteristics, the local ones are often utilized and MSRCR is a representative method. MSRCR gives moderate results, but it requires lots of computations for multi-scale surround Gaussian functions and produces the Halo effect around the edges. Therefore, in order to resolve these main problems, the proposed algorithm remarkably reduces the computation of the surrounds due to the use of the integral image. And a set of variable-sized windows is adopted to decrease the Halo effect, according to the type of pixel's region. In addition, an offset controlling function is presented, which is mainly affected to the subjective image quality and based on the global input and the desired output means. As the results, the proposed algorithm no more use Gaussian functions and can reduce the computation amount and the Halo effect.