• JSTS:Journal of Semiconductor Technology and Science
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• 제7권4호
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• pp.287-298
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• 2007

A two-dimensional treatment of the potential distribution under the depletion approximation is presented for poly-crystalline silicon thin film transistors. Green's function approach is adopted to solve the two-dimensional Poisson's equation. The solution for the potential distribution is derived using Neumann's boundary condition at the silicon-silicon di-oxide interface. The developed model gives insight into device behavior due to the effects of traps and grain-boundaries. Also short-channel effects and drain induced barrier lowering effects are incorporated in the model. The potential distribution and electric field variation with various device parameters is shown. An analysis of threshold voltage is also presented. The results obtained show good agreement with simulated results and numerical modeling based on the finite difference method, thus demonstrating the validity of our model.

• 한국수산과학회지
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• 제15권3호
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• pp.179-184
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• 1982

Lartobacillus bulgricus를 glucose를 제한기질로 하는 합성배지에서 연속배양한 결과를 요약하면 다음과 같다. 1. 본 실험 model은 Monod의 chemostat 이론을 적용시킬 수 있다. 2. 본 실험 model에서의 최대 cell production rate는 $0.178 g/1{\cdot}hr$로서 회석율 $0.414hr^{-1}$ 일 때이다. 3. 연속배양 결과 saturation constant($K_s$)는 7.69g/l, 최대비증식속도$(V_{max})$는 $0.62hr^{-1}$ 이었다. 4. wash out 현상은 $0.51hr^{-1}$에서 일어났으며cell yield coefficient는 0.016g/l 이었다.

• International Journal of Computer Science & Network Security
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• 제23권7호
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• pp.91-100
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• 2023

Pervasive computing is characterized by a key characteristic that affects the operating environment of services and users. It places more emphasis on dynamic environments where available resources continuously vary without prior knowledge of their availability, while in static environments the services provided to users are determined in advance. At the same time, Cloud computing paradigm introduced flexibility of use according to the user's profile and needs. In this paper, we aimed to provide Context-Aware Transactional Service applications with solutions so that it can be integrated and invoked like any service in the digital ecosystem. Being able to compose is not enough, each service and application must be able to offer a well-defined behavior. This behavior must be controlled to meet the dynamicity and adaptability necessary for the new user's requirements. The motivation in this paper is to offer design patterns that will provide a maximum of automatism in order to guarantee short reaction times and minimal human intervention. Our proposal includes a cloud service model by developing a PaaS service that allows CATS adaptation. A new specification for the validation of CATS model has been also introduced using the ACTA formalism.

• Membrane and Water Treatment
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• 제7권3호
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• pp.193-207
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• 2016

Boron is one of the most problematic inorganic pollutants and is difficult to remove in water. Strict standards have been imposed for boron content in water because of their high toxicity at high concentrations. Technologies using membrane processes such as reverse osmosis (RO) and nanofiltration (NF) have increasingly been employed in many industrial sectors. In this work, removal of boron from model water solutions was investigated using polyamide reverse osmosis and nanofiltration membranes. RO-AG, RO-SG, NF-90 and NF-HL membranes were used to reduce the boron from model water at different operational conditions. To understand the boron separation properties a characterization of the four membranes was performed by determining the pure water permeability, surface charge and molecular weight cut-off. Thereafter, the effect of feed pressure, concentration, ionic strength, nature of ions in solution and pH on the rejection of boron were studied. The rejection of boron can reach up to 90% for the three membranes AG, SG and NF-90 at pH = 11. The Spiegler-Kedem model was applied to experimental results to determine the reflection coefficient of the membrane ${\sigma}$ and the solute permeability $P_s$.

• Asian-Australasian Journal of Animal Sciences
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• 제29권7호
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• pp.1013-1021
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• 2016

This study developed probabilistic models to predict Salmonella growth in processed meat products formulated with varying concentrations of NaCl and $NaNO_2$. A five-strain mixture of Salmonella was inoculated in nutrient broth supplemented with NaCl (0%, 0.25%, 0.5%, 0.75%, 0.5%, 1.0%, 1.25%, and 1.75%) and $NaNO_2$ (0, 15, 30, 45, 60, 75, 90, 105, and 120 ppm). The inoculated samples were then incubated under aerobic and anaerobic conditions at $4^{\circ}C$, $7^{\circ}C$, $10^{\circ}C$, $12^{\circ}C$, and $15^{\circ}C$ for up to 60 days. Growth (assigned the value of 1) or no growth (assigned the value of 0) for each combination was evaluated by turbidity. These growth response data were analyzed with a logistic regression to evaluate the effect of NaCl and $NaNO_2$ on Salmonella growth. The results from the developed model were compared to the observed data obtained from the frankfurters to evaluate the performance of the model. Results from the developed model showed that a single application of $NaNO_2$ at low concentrations did not inhibit Salmonella growth, whereas NaCl significantly (p<0.05) inhibited Salmonella growth at $10^{\circ}C$, $12^{\circ}C$, and $15^{\circ}C$, regardless of the presence of oxygen. At $4^{\circ}C$ and $7^{\circ}C$, Salmonella growth was not observed in either aerobic or anaerobic conditions. When $NaNO_2$ was combined with NaCl, the probability of Salmonella growth decreased. The validation value confirmed that the performance of the developed model was appropriate. This study indicates that the developed probabilistic models should be useful for describing the combinational effect of $NaNO_2$ and NaCl on inhibiting Salmonella growth in processed meat products.

• Tissue Engineering and Regenerative Medicine
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• 제15권6호
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• pp.721-733
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• 2018

BACKGROUND: Because three-dimensional (3D) models more closely mimic native tissues, one of the goals of 3D in vitro tissue models is to aid in the development and toxicity screening of new drug therapies. In this study, a 3D skin wound healing model comprising of a collagen type I construct with fibrin-filled defects was developed. METHODS: Optical imaging was used to measure keratinocyte migration in the presence of fibroblasts over 7 days onto the fibrin-filled defects. Additionally, cell viability and growth of fibroblasts and keratinocytes was measured using the $alamarBlue^{(R)}$ assay and changes in the mechanical stiffness of the 3D construct was monitored using compressive indentation testing. RESULTS: Keratinocyte migration rate was significantly increased in the presence of fibroblasts with the cells reaching the center of the defect as early as day 3 in the co-culture constructs compared to day 7 for the control keratinocyte monoculture constructs. Additionally, constructs with the greatest rate of keratinocyte migration had reduced cell growth. When fibroblasts were cultured alone in the wound healing construct, there was a 1.3 to 3.4-fold increase in cell growth and a 1.2 to 1.4-fold increase in cell growth for keratinocyte monocultures. However, co-culture constructs exhibited no significant growth over 7 days. Finally, mechanical testing showed that fibroblasts and keratinocytes had varying effects on matrix stiffness with fibroblasts degrading the constructs while keratinocytes increased the construct's stiffness. CONCLUSION: This 3D in vitro wound healing model is a step towards developing a mimetic construct that recapitulates the complex microenvironment of healing wounds and could aid in the early studies of novel therapeutics that promote migration and proliferation of epithelial cells.

• Computers and Concrete
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• 제7권2호
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• pp.169-190
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• 2010

The focus of this research effort was characterization of the flexural and tensile properties of a specific ultra-high-strength, fiber-reinforced concrete material. The material exhibited a mean unconfined compressive strength of approximately 140 MPa and was reinforced with short, randomly distributed alkali resistant glass fibers. As a part of the study, coupled experimental, analytical and numerical investigations were performed. Flexural and direct tension tests were first conducted to experimentally characterize material behavior. Following experimentation, a micromechanically-based analytical model was utilized to calculate the material's tensile failure response, which was compared to the experimental results. Lastly, to investigate the relationship between the tensile failure and flexural response, a numerical analysis of the flexural experiments was performed utilizing the experimentally developed tensile failure function. Results of the experimental, analytical and numerical investigations are presented herein.

• 한국콘텐츠학회논문지
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• 제7권4호
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• pp.103-113
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• 2007

그레마스의 설화도식은 언어텍스트뿐만 아니라 비언어텍스트의 스토리텔링 모델로서 유용한 것으로서, 이를 통해 컴퓨터게임에 대한 스토리텔링 모델 구축을 도모해본다. 대표적으로 비선형성과 상호작용성을 지니고 있는 스타크래프트의 멀티플레이를 분석대상으로 삼았다. 분석 결과, 조종과 상벌단계가 단축된 형태로 나타나며, 역량 단계에서 많은 소 설화도식들이 반복되어 나타나는 것으로 드러났다. 이러한 모델은 여타 게임장르에도 일반화가 가능하다고 보인다. 서술적인 언어로서 조종과 상벌을 묘사하는 일반적인 텍스트에 비해 대부분의 게임에서는 이들이 묘사차원이 아니라 이용자의 인식적 차원에서 순간적으로 발생하고, 중요한 게임플레이는 역량의 단계에서 이루어지는 것으로 보이기 때문이다.

• 한국음향학회지
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• 제10권1호
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• pp.52-60
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• 1991

본 연구는 스펙트럼의 동적 특징을 한 파라메타로 하는 DHMM(Dynamic Hidden Markov Model)을 이용한 단독어인식에 관한 것으로 정적 스펙트럼 특징뿐 아니라 동적 스펙트럼 특징을 평가할 수 있는 DHMM에 근거한 음성 인식 실험을 논의 한다. 정적특징으로는 LPC cepstrum 계수를 이용하였고, 동적특징으로는 LPC cepstrum 의 회귀계수를 사용하였다. 이들 두 개의 특징 벡터들을 각각 집단화하여 만든 두 VQ codebook과 입력으로 받아들인 정적 벡터및 동적벡터로 단어들을 DHMM(Dynamic Hidden Markov Model)으로 모델링 하였다. 전체적인 실험에서 기존의 HMM을 이용한 인식실험에서는 88.8%의 인식율을 얻었는데 반해, DHMM을 이용한 인식실험에서는 92.7%의 인식율을 보였다.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.107-115
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• 2020

This study is concerned with the relationship between firm's ownership structure and the co-movement of the stock return with the market return. Four different types of firm ownership, including managerial ownership, state ownership, foreign ownership, and concentrated ownership, are among the main features of the company's governance mechanism and have been separately documemented in the previous research to understand their impact on stock price synchronicity. We constructed the regression model, using stock price synchronicity as the dependent variable and the above four components of ownership structure as explanantory variables. The pooled OLS, the fixed effects model, and the random effects are employed to investigate the outcome of the study. Data used in the reserch are of public firms listed on the Ho Chi Minh City Stock Exchange (HOSE) during the five-year period term from 2015 to 2019. The data sample contains 235 companies from 10 industries with 1135 observations. The results revealed by the fixed effects model, the large ownership and the managerial ownership are found to have adverse effect on the stock price synchronicity, whereas the foreign ownership model is revealed to have positive influence on the stock return co-movement. The effect of the state ownership on the stock price synchronicity is not confirmed.