• Journal of Dairy Science and Biotechnology
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• v.29 no.2
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• pp.69-73
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• 2011

Food borne pathogens are a growing concern for human health and food safety throughout the world. Milk and dairy products are commonly associated with spoilage or contamination from a wide variety of physical, microbial, and chemical hazardous. Microbiological risk analysis consists of three components: risk assessment, risk management, and risk communication, and overall objective of this process is ultimately public health protection. The microbiological risk assessment is useful tool to evaluate food safety as it is based on a scientific approach. In addition risk assessment process includes quantitative estimation of the probability of occurrence of microbial hazards to evaluate more accurate human exposure. The aim of this study is to review the microbiological risk assessment on the prevalence of bacterial foodborne pathogens in milk and dairy products.

• Journal of the Korean institute of surface engineering
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• v.43 no.3
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• pp.159-164
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• 2010

Surface roughness of deposited or etched film strongly depends on ion bombardment. Relationships between ion bombardment variables and surface roughness are too complicated to model analytically. To overcome this, an empirical neural network model was constructed and applied to a deposition process of silicon nitride (SiN) films. The films were deposited by using a pulsed plasma enhanced chemical vapor deposition system in $SiH_4$-$NH_4$ plasma. Radio frequency source power and duty ratio were varied in the range of 200-800 W and 40-100%. A total of 20 experiments were conducted. A non-invasive ion energy analyzer was used to collect ion energy distribution. The diagnostic variables examined include high (or) low ion energy and high (or low) ion energy flux. Mean surface roughness was measured by using atomic force microscopy. A neural network model relating the diagnostic variables to the surface roughness was constructed and its prediction performance was optimized by using a genetic algorithm. The optimized model yielded an improved performance of about 58% over statistical regression model. The model revealed very interesting features useful for optimization of surface roughness. This includes a reduction in surface roughness either by an increase in ion energy flux at lower ion energy or by an increase in higher ion energy at lower ion energy flux.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.1
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• pp.99-102
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• 2002

Pinholes on the thermally grown oxide, which is called gate oxide, on silicon substrate under polysilicon layer are found and its mechanism is analyzed in this paper. The oxide under a polysilicon layer is broken during the plasma etching process of other polysilicon layer. Both polysilicon layers are separated with 0.8${\mu}{\textrm}{m}$ thick oxide deposited by CVD (Chemical Vapor Deposition). Since broken oxide points are found scattered around an arc occurrence point, it is assumed that an extremely high electric field generated near the arc occurrence point makes the gate oxide broken. 1'he arc occurrence point has been observed on the alignment key and is the mark of low yield. It is found that any arc occurrence can cause chips to fail by breaking the gate oxide, even if are occurrence points are found on scribeline.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.5
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• pp.689-695
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• 2002

Film compositions are needed in semiconductor manufacturing for such diverse application as production tool qualifications and process development. Surface and interface information is generally provided with Auger electron spectroscopy(AES). In this paper, WSix films were analyzed for structural, electrical, and compositional properties of tungsten silicide thin films produced by low pressure chemical vapor deposition as a function of temperature, DCS post flow, shower head life time, and the silicon to tungsten ratios have been investigated. We find that Si/W composition ratio is increased in the surface and interface of WSix thin films by the DCS post flow process and increasing deposition temperature, respectively. The results obtained in this study are also applicable to process control of WSix deposition for memory device fabrication.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2004.07a
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• pp.328-331
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• 2004

Hot filament 플라즈마 화학기상 증착법(HFPECVD)를 사용하여 질산화철의 농도에 따른 탄소나노튜브의 성장 특성을 관찰하기 위해 실험을 진행하였다. 암모니아($NH_3$)를 희석가스로 사용하였고, 아세틸렌($C_2H_2$)를 탄소 원료가스로 각각 사용하였다. 암모니아 가스 플라즈마를 사용하여 전처리 된 질산화철 촉매층의 SEM(Scanning Electron Microscopy) 이미지를 관찰하여 본 결과, 나노 사이즈의 촉매 그레인(grain)을 발견할 수 있었다. 그리고 탄소 나노튜브의 직경과 성장 밀도 또한 전처리 된 촉매 층에 따라 다른 양상을 보였다. TEM(Transmission Electron Microscopy)를 사용하여 탄소나노튜브를 관찰한 결과 bamboo 구조를 한 다중벽 탄소 나노튜브(MWCNT)를 관찰할 수 있었다.

• Natural Product Sciences
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• v.16 no.2
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• pp.107-110
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• 2010

Curcuma caesia Roxb. (Zingiberaceae) is commonly known as 'Black turmeric'. In India it grows in West Bengal, Madhya Pradesh, Orissa, Bihar, North-East and Uttar Pradesh and is widely used by ethnic communities for various ailments. Rhizomes of the plant are used for sprains and bruises and are also employed in cosmetics. In West Bengal it is an important place in traditional system of medicine and is also used as a substitute for turmeric in fresh stage. Present communication deals with the detailed pharmacognostical evaluation of the rhizome sample. Inner part of the rhizome is bluish-black in colour and emits a characteristic sweet smell, due to the presence of essential oil. On steam distillation the rhizome yields an essential oil rich in camphor. A detailed HPTLC studies has been carried out for quantitative evaluation of active marker component. HPTLC, physico-chemical, morphological and histological parameters presented in this paper may be proposed as parameters to establish the authenticity of C. caesia rhizome and may possibly help to differentiate the drug from its other allied species.

• Journal of East-West Nursing Research
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• v.27 no.2
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• pp.153-165
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• 2021

Purpose: The aim of study was to identify ranges of Korean nurses' competency in disaster nursing. Methods: A scoping review was conducted using the Joanna Briggs Institute methodology. The review used information from four databases: RISS, ScienceON, EBSCO Discovery Service, and CINAHL. In this review, key words were 'disaster', 'nurs*', 'competenc*', 'ability' and 'preparedness'. Inclusion and exclusion criteria were identified as strategies to use in this review. The inclusion criteria for this review focused on the following: Korean nurse, articles related to disaster nursing competency, peer-review articles published in the full text in Korean and English. Review articles were excluded. Results: Nineteen studies were eligible for result extraction. A total of 10 categories of disaster nursing competency were identified: Knowledge of disaster nursing, crisis management, disaster preparation, information collection and sharing, nursing record and document management, communication, disaster plan, nursing activities in disaster response, infection management, and chemical, biological, radiation, nuclear, and explosive management. Conclusion: It is necessary to distinguish between Korean nurses' common disaster nursing competency, professional disaster nursing competency, and disaster nursing competency required in nursing practice. Therefore, future research will be needed to explore and describe disaster nursing competency.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2434-2453
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• 2019

To improve the separation performance of time-frequency overlapped radar and communication signals from a single channel, this paper proposes an effective separation method based on an improved empirical wavelet transform (EWT) that introduces a fast boundary detection mechanism. The fast boundary detection mechanism can be regarded as a process of searching, difference optimization, and continuity detection of the important local minima in the Fourier spectrum that enables determination of the sub-band boundary and thus allows multiple signal components to be distinguished. An orthogonal empirical wavelet filter bank that was designed for signal adaptive reconstruction is then used to separate the input time-frequency overlapped signals. The experimental results show that if two source components are completely overlapped within the time domain and the spectrum overlap ratio is less than 60%, the average separation performance is improved by approximately 32.3% when compared with the classic EWT; the proposed method also improves the suitability for multiple frequency shift keying (MFSK) and reduces the algorithm complexity.

• Entomological Research
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• v.48 no.5
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• pp.448-452
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• 2018

The aggregation pheromone of Monochamus (Coleoptera: Cerambycidae) beetles, 2-(undecyloxy) ethanol (hereafter referred to as monochamol), has gained considerable attention because of its usefulness in monitoring and population control of pine sawyer beetles. The hydroxyether structural motif is conserved in pheromones of the subfamily Lamiinae of the Cerambycidae. In this study, we investigated the effects of C10- and C12-chain length alkyl analogs of monochamol, 2-(decyloxy) ethanol and 2-(dodecyloxy) ethanol, on attracting M. saltuairus in Andong, Gyeongsangbuk-do, Korea. The C10 and C12 analogs attracted M. saltuarius when used in combination with ${\alpha}$-pinene and ethanol, but the responses of these alkyl chain analogs were lower than those of monochamol. Furthermore, the addition of either C10 or C12 analog to the use of monochamol with ${\alpha}$-pinene and ethanol had no effect on attraction of M. saltuarius, indicating high sensitivity of M. saltuarius to monochanol. Taken together, the results of this study suggest that chemical communication within a Monochamus species depends not only on monochamol, but also on other semiochemicals.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.66-71
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• 2021

Recent healthcare environments have characteristics of expanding the scope of healthcare-impacting healthcare, complexity resulting from diversification of components, and accelerating the pace of change. Drugs are used for the prevention, mitigation, and treatment of diseases, so they can inevitably cause harm, while they have efficacy and effectiveness, which are key elements of health recovery. Therefore, many countries regulate permits for safe and effective medicines, and also designate essential drugs directly related to life as pay targets and guarantee health insurance. Especially Pharmacist relying on manpower for composition medicine is liable for mal-manufacture due to combination of toxic medical substances or other chemical usage. In this paper, we focus on using Kiosk and Optical Character Recognition (OCR) for automated pharmacy to level up medical service and create labor friendly environment for pharmacist themselves through maintenance of prescription data and automated manufacturing solution. Presentation of drug substances and precautions will lead to efficient drug prescription and prevent misuse of information while auto manufacturing system efficiently maintain labor force and raise patient satisfaction level by reduction of waiting time.