• 방사선산업학회지
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• 제4권3호
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• pp.289-295
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• 2010

The bacterium Deinococcus radiodurans is one of the most resistant organisms to the effects of ionizing radiation and other DNA-damaging agents. In this study, distributions of 10 ddr (DNA damage response) genes were investigated in 8 species of Deinococcus by polymerase chain reaction (PCR). We have compared the sequences of ddr genes of D. radiodurans, D. geothermalis and D. deserti, and selected primers which are suitable for the detection of ddr in different species of Deinococcus. A sequence homology search and PCR assay showed that ddrO, which encodes a global regulator of the radiation-desiccation response, was most well conserved in the Deinococcus lineage.

• 한국전자통신학회논문지
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• 제10권3호
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• pp.333-340
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• 2015

본 논문에서는 마이크로파 라디오미터의 기술을 응용한 수동형 마이크로파 인체 감지 센서를 제안한다. 제안된 센서는 고정된 배경 물체로부터 수신되는 복사전력의 인체에 의한 미약한 변화를 측정하여 감시 공간내의 인체를 감지한다. C-band 마이크로파 라디오미터를 설계 제작하여 인체에 의한 수신 복사전력의 변화를 측정하고 그 결과를 분석하여 제안한 센서의 유효성을 평가한다.

• Journal of Radiation Protection and Research
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• 제20권3호
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• pp.155-162
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• 1995

비전리방사선에 대한 방호의 관점에서 현재의 검출 및 측정기술을 검토하였다. 특히 전파와 자외선을 중심으로 노출계측량, 측정기기 및 측정 시 고려사항을 설명하였다. 전파장에 대해서는 실제 파원별로 출력밀도의 수준을 요약하여 실무에 참고가 되게 하였다. 대체로 비 전리방사선의 측정에는 아직 큰 오차가 있으므로 늘어나는 비 전리방사선원과 이로 인한 유해한 건강영향에 대한 대중의 관심을 고려하면 비 전리방사선 측정기술의 개발수요는 크다.

• Journal of Radiation Protection and Research
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• 제27권1호
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• pp.51-57
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• 2002

반도체 검출기를 이용하여 Hybrid 전치증폭기를 갖는 전자식 개인선량계를 설계 제작하고, 방사선 검출 반응특성과 기계적 및 주변 환경 요건에 따른 각종 성능을 평가하였다. $^{137}Cs$ 감마 방사선을 이용한 방사선 조사 시험결과 감도는 $3.8\;cps/Gy{\cdot}h^{-1}$이고, $10{\mu}Sv{\sim}4Sv$ 범위의 선량당량 조사시 선량계의 지시값은 오차 8%이하에서 선형성이 잘 유지되었다. 방향의존성을 ${\pm}60^{\circ}$ 이내에서 4%이하이며, ISO 기준선장에 의한 에너지 반응영역은 $60{\sim}1,250\;keV$로 나타났으며, IEC 61526에 의한 선량계의 성능검사시 9개 영역의 시험항목에 대한 국제기준을 만족하였다.

• Radiation Oncology Journal
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• 제29권4호
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• pp.269-276
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• 2011

Purpose: To determine the incidence, risk factors, and clinical characteristics of pelvic insufficiency fracture (PIF) in patients with cervical cancer. Materials and Methods: Between July 2004 and August 2009, 235 patients with non-metastatic cervical cancer were treated with definitive chemoradiation or postoperative radiotherapy. Among 235 patients, 117 (49.8%) underwent the first positron emission tomography/computed tomography (PET/CT) within 1 year after radiotherapy. The median radiation dose was 55 Gy (range, 45 to 60 Gy). Medical charts and imaging studies, including PET/CT, magnetic resonance imaging (MRI), CT. bone scintigraphy were reviewed to evaluate the patients with PIF. Results: Among 235 patients, 16 developed PIF. The 5-year detection rate of PIF was 9.5%. The 5-year detection rate of PIF in patients who underwent the first PET/CT within a year was 15.6%. The median time to development of PIF was 12.5 months (range, 5 to 30 months). The sites of fracture included 12 sacroiliac joints, 3 pubic rami, 3 iliac bones, and 1 femoral neck. Eleven of 16 patients having PIF complained of hip pain requiring medications. One patient required hospitalization for pain control. The significant risk factors of PIF were old age, body mass index less than 23, bone mineral density less than -3.5 SD, and the first PET/CT within a year after radiotherapy. Radiation dose and concurrent chemotherapy had no impact on PIF rate. Conclusion: PIFs were not rare after pelvic radiotherapy in cervical cancer patients in the era of PET/CT. Timely diagnosis and management of PIF can improve quality of life in patients with cervical cancer, in addition to reducing unnecessary medical expenses.

• 방사선산업학회지
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• 제5권4호
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• pp.297-303
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• 2011

The purpose of this research is to detect whether agricultural products were electron beam irradiated or non-irradiated by chemical methods according to increase of storage period. The three fat-rich samples including soybean, walnut, and sesame were chosen as agricultural products, and then were irradiated with doses of 1~10 kGy by using 10 MeV electron beam facility. At the result, 8-heptadecene and 1,7-hexadecadiene, which are indicators of electron beam-irradiation in chemical methods by gas chromatography/mass spectrometry(GC/MS) method, were detected in all three samples. The levels of two irradiation indicators were increased by electron beam-irradiation in a dose-dependent manner. Furthermore, two irradiation indicators also were detected in all samples in 6 and 12 months after irradiation, though levels of those were decreased in a time-dependent manner. These results mean that the quantification of 8-heptadecene and 1,7-hexadecadiene could determine whether electron beam were irradiated or non-irradiated until 12 month after irradiation in 3 fat-rich agricultural products including soybean, walnut, and sesame.

• 방사선산업학회지
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• 제6권3호
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• pp.239-244
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• 2012

This study was conducted to investigate bacterial growth, viscosity, color, and sensory properties of gamma-irradiated Tarakjuk powder, a Korean milk porridge powder, at 1, 3, 5, 7, and 10 kGy. The total aerobic bacteria in non-irradiated Tarakjuk powder was $2.56{\log}\;CFU{\cdot}g^{-1}$, whereas it was not observed within the detection limit of $2{\log}\;CFU{\cdot}g^{-1}$ in samples irradiated at more than 1 kGy. Spore-forming bacteria, however, were not observed in all samples within the detection limit of $1{\log}\;CFU{\cdot}g^{-1}$. The viscosity of rehydrated Tarakjuk after gamma irradiation significantly decreased from 16,770 cP to 4,060 cP when irradiated at 10 kGy. The redness ($a^*$ value) and yellowness ($b^*$ value) evaluated using a colorimeter were significantly increased according to the increase in irradiation dose (p<0.05), while there was no difference in color evaluation conducted by panels. The overall acceptance decreased as the irradiation dose increased, and the 5 kGy sample was 4.0 (normal) on a 7-point scale. As a result, it is considered that a gamma irradiation of 5 kGy is enough to sterilize Tarakjuk powder with a acceptable sensory quality.

• 한국가스학회지
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• 제1권1호
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• pp.113-119
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• 1997

UV 화염감기의 분진분위기에서의 성능저하를 고찰하기 위하여 세제분말, 탄진 및 분말 소화약제의 분진운을 형성하였고 LPG 및 가솔린 화염을 사용하여 UV 화염감지기의 감지성능을 고찰하였다. 분진 분위기 하에서의 UV 화염감지기의 성능을 분진의 농도와 분진층의 거리가 증가함에 따라 뚜렷한 증가를 보였으며, 분진의 화학적, 물리적 특성에 커다란 영향을 받았다. 따라서 UV 화염감지기를 분진 분위기에서 사용한 경우 특별한 주의를 기울일 필요가 있는 것으로 사려된다.

• Preventive Nutrition and Food Science
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• 제6권2호
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• pp.91-95
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• 2001

Competitive indirect enzyme linked immunosorbent assay (Ci-ELISA) was used to obtain the preliminary data for the detection of irradiated beef. Ci-ELISA was individually formatted with polyclonal antibodies produced from 2 kinds of bovine proteins, myosin and bovine serum albumin (BSA). Beef round, loin and tender loin were vacuum-packaged and subdivided into 3 groups of 1) irradiation; 2) irradiation and chilled at 4$^{\circ}C$ for 7 day; 3) irradiation and frozen at 2$0^{\circ}C$ for 2 months to observe the changes under different storage and/or distribution conditions. Irradiation was performed at 3, 5 and 7 kGy. Protein solutions prepared from the sample were tested by formatted Ci-ELISA. Detected concentrations of myosin and BSA decreased with the increased irradiation dose in all samples with different reduction rates. Myosin was more susceptible to freezing than BSA. Samples irradiated at 5 kGy or above could be differentiated from non-irradiated ones by Ci-ELISA. These results indicate that immunological assay can be used as a detection method for irradiated beef.

• Nuclear Engineering and Technology
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• 제53권12호
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• pp.4072-4079
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• 2021

This article presents a study on the state-of-the-art methods for automated radioactive material detection and identification, using gamma-ray spectra and modern machine learning methods. The recent developments inspired this in deep learning algorithms, and the proposed method provided better performance than the current state-of-the-art models. Machine learning models such as: fully connected, recurrent, convolutional, and gradient boosted decision trees, are applied under a wide variety of testing conditions, and their advantage and disadvantage are discussed. Furthermore, a hybrid model is developed by combining the fully-connected and convolutional neural network, which shows the best performance among the different machine learning models. These improvements are represented by the model's test performance metric (i.e., F1 score) of 93.33% with an improvement of 2%-12% than the state-of-the-art model at various conditions. The experimental results show that fusion of classical neural networks and modern deep learning architecture is a suitable choice for interpreting gamma spectra data where real-time and remote detection is necessary.