• Title/Summary/Keyword: Harness

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Induced Death of Escherichia coli Encapsulated in a Hollow Fiber Membrane as Observed In Vitro or After Subcutaneous Implantation

  • Granicka, L. H.;Zolnierowicz, J.;Wasilewska, D.;Werynski, A.;Kawiak, J.
    • Journal of Microbiology and Biotechnology
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    • v.20 no.1
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    • pp.224-228
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    • 2010
  • The encapsulation of bacteria may be used to harness them for longer periods of time in order to make them viable, whereas antibiotic treatment would result in controlled release of therapeutic molecules. Encapsulated Escherichia coli GFP (green fluorescent protein) (E. coli GFP) was used here as a model for therapeutic substance - GFP fragments release (model of bioactive substances). Our aim was to evaluate the performance of bacteria encapsulated in hollow fibers (HFs) treated with antibiotic for induction of cell death. The polypropylene-surface-modified HFs were applied for E. coli encapsulation. The encapsulated bacteria were treated with tetracycline in vitro or in vivo during subcutaneous implantation into mice. The HF content was evaluated in a flow cytometer, to assess the bacteria cell membrane permeability changes induced by tetracycline treatment. It was observed that the applied membranes prevented release of bacteria through the HF wall. The E. coli GFP culture encapsulated in HF in vitro proved the tetracycline impact on bacteria viability and allows the recognition of the sequence of events within the process of bacteria death. Treatment of the SCID mice with tetracycline for 8 h proved the tetracycline impact on bacteria viability in vivo, raising the necrotic bacteria-releasing GFP fragments. It was concluded that the bacteria may be safely enclosed within the HF at the site of implantation, and when the animal is treated with antibiotic, bacteria may act as a local source of fragments of proteins expressed in the bacteria, a hypothetical bioactive factor for the host eukaryotic organism.

Development of Single Board Computer (SBC) for Nano/Pico Small Satellites (초소형위성용 단일보드 탑재컴퓨터의 개발)

  • Kim, Young-Hyun;Moon, Byoung-Young;Lee, Bo-Ra;Chang, Young-Keun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.32 no.4
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    • pp.101-110
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    • 2004
  • Flight and Qualification Models of Single Board Computer (SBC), called On-Board Computer (OBC), for HAUSAT-l picosatellite, which is scheduled to launch on September, 2004 by Russian "Dnepr" launch vehicle, have been developed. The OBC of HAUSAT-1 has been designed with some improved features compared to other picosatellites. A multifunctional controller and up-to-date SPI (Serial Peripheral Interface) and 1-Wire interface are implemented to simplify the harness routing and to minimize the mass and size of OBC. The improved fault-tolerant architecture design methodology is incorporated in the HAUSAT-1 OBC to protect against space radiation environment. The functions of the OBC were fully tested and verified by the Electrical Test Bed (ETB) model. This paper is also addressing the environmental test results, such as random vibration and thermal vacuum tests.

A Method for Microarray Data Analysis based on Bayesian Networks using an Efficient Structural learning Algorithm and Data Dimensionality Reduction (효율적 구조 학습 알고리즘과 데이타 차원축소를 통한 베이지안망 기반의 마이크로어레이 데이타 분석법)

  • 황규백;장정호;장병탁
    • Journal of KIISE:Software and Applications
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    • v.29 no.11
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    • pp.775-784
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    • 2002
  • Microarray data, obtained from DNA chip technologies, is the measurement of the expression level of thousands of genes in cells or tissues. It is used for gene function prediction or cancer diagnosis based on gene expression patterns. Among diverse methods for data analysis, the Bayesian network represents the relationships among data attributes in the form of a graph structure. This property enables us to discover various relations among genes and the characteristics of the tissue (e.g., the cancer type) through microarray data analysis. However, most of the present microarray data sets are so sparse that it is difficult to apply general analysis methods, including Bayesian networks, directly. In this paper, we harness an efficient structural learning algorithm and data dimensionality reduction in order to analyze microarray data using Bayesian networks. The proposed method was applied to the analysis of real microarray data, i.e., the NC160 data set. And its usefulness was evaluated based on the accuracy of the teamed Bayesian networks on representing the known biological facts.

An Analysis on Channel Sensing Overhead in IEEE 802.22 Cognitive Radio Networks (IEEE 802.22 인지 라디오 네트워크에서 채널 센싱 오버헤드 분석)

  • Park, Keun-Mo;Kim, Chong-Kwon
    • Journal of KIISE:Information Networking
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    • v.37 no.3
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    • pp.249-253
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    • 2010
  • Resource of wireless frequency bandwidth is gradually going to be deficient due to explosive increase of traffic and saturated non-licensed frequency band such as ISM. In the contrary, many licensed frequency bands are revealed to be low in utilization by several measurement based researches. To alleviate this inefficiency, a concept of cognitive radio is suggested. Cognitive radio lets non-licensed user exploit the licensed frequency band as long as non-licensed user does not interfere licensed user and as a result, it is possible to harness wireless frequency more efficiently. IEEE 802.22 is the first standard network with cognitive radio technology and it employs Two-Stage channel sensing mechanism to accomplish both enough licensed user protection and efficient channel utilization. In this paper, we analyze the overhead of Two-Stage channel sensing mechanism and identify the influence of channel sensing time to the overhead.

The Simplified Pre-Estimation Model Development of a BIPV Generation Rate by the District Division (지역 구분을 통한 약식 BIPV 발전량 예측 모델 개발)

  • Choi, Won-Ki;Oh, Min-Seok;Shin, Woo-Chul
    • Journal of the Korean Solar Energy Society
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    • v.36 no.2
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    • pp.19-29
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    • 2016
  • Whilst there are growing interests in pursuing energy efficiency and zero-energy buildings in built environment, it is widely recognised that Building-Integrated Photovoltaic (BIPV) is one of the most promising and required technologies to achieve these goals in recent years. Although BIPV is a broadly utilized technique in variety of fields in built environments, it is required that generation of BIVP should be analysed and calculated by external specialists. The aim of this research is to focus on developing a new diagram for prediction of the pre-estimation model in early design stage to harness solar radiation data, PV types, slopes, azimuth and so forth. The results of this study show as follows: 1) We analysed 162 districts in a national level and the examined areas were categorised into five zones. The standard deviation of the results was 2.9 per cent; 2) The increased value of solar radiation on a vertical plane in five categorised zones was 42kWh/m3, and the result was similar to the average value of 43.8kWh/m3; and 3) The pre-estimation of diagram was developed based on the categorisation of zones and azimuth as well as the results of the developed diagram showed little difference compared to the previously utilised method. The suggested diagram in this paper will contribute to estimate BIPV without any external contribution to calculate the value. Even though the result of this study shows little difference, it is required to investigate a number of different variables such as BIPV types, modules, slope angle and so forth in order to develop an integrated pre-estimation diagram.

A Case Study of Developing Rapid-Hardening Ultra-Low Temperature Adhesives by Mixture Design and Multiple Response Optimization (혼합물 실험계획과 다수 반응변수 최적화를 통한 속경화 초저온접착제 개발 사례)

  • Byun, Jai-Hyun;Seo, Pan Seok;Shin, Ji Eun;Lee, Lyun Gyu;Yeom, Ji Hyun
    • Journal of Korean Society for Quality Management
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    • v.42 no.4
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    • pp.757-768
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    • 2014
  • Purpose: In this paper we present a case study of developing fast curing adhesives for insulation material of LNG carriers using an extreme vertices design with four mixture components. Three material properties are considered - shear strength, viscosity, and tensile strength. In the optimization experiment, we used hardness instead of tensile strength due to shortage of specimens. Methods: We employ four-factor extreme vertices design with 19 runs and desirability function approach for simultaneously optimizing three responses. After selecting optimal condition of the mixture components, we do confirmation experiments to verify the reproducibility of the optimal condition under manufacturing circumstance. Results: Simultaneous optimal condition for the three responses, that is, shear strength, viscosity, and harness is obtained. At the optimal condition, confirmation experiments are executed in manufacturing circumstance. The variation for the shear strength is not satisfactory, which is due to the variation of the humidity. Conclusion: At the optimal condition three material properties are satisfactory. To reduce the variability for the shear strength, robust design is needed.

Early Development of Policy and Public Understanding of Nanotechnology in Korea (한국의 나노기술:초기 정책 형성과 사회적 수용을 중심으로)

  • Lee, Eun-Kyoung
    • Journal of Science and Technology Studies
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    • v.7 no.1
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    • pp.91-116
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    • 2007
  • Under the strong support of the government, nanotechnology(NT) has been expanded rapidly in Korea. Korea was one of the countries that followed the National Nanotechnology Initiative(NNI) of the US very soon and set up their own policies for NT. This paper argues that the main rationale of the Korean version of NNI was so called 'catch-up strategy' by entering at the early stage of new technology. It stimulated scientists and engineers from various disciplines to do researches and to establish new education programs in NT. Unlike IT and BT, however, such fast and big investment in NT was approved by the public in the sense that there has been few criticism on the governmental NT policies and potential harness of NT. With the relative uninterestedness of the civil society and competititveness seeking policy in NT, ELSI in NT was not included in the Korean version of NNI and the results of technology assessments on NT were not introduced to the public at all.

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Numerical Study on the Thermal Environment of a Natural Light Based Multi-layered Plant Factory (자연광 기반 적층형 식물공장의 열환경에 대한 수치해석 연구)

  • Park, Dong Yoon;Jang, Seong-Teak;Chang, Seong-Ju
    • KIEAE Journal
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    • v.13 no.5
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    • pp.43-50
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    • 2013
  • Recent researches on plant factory system deal with the convergence of lighting technology, agricultural technology inclusive to the high-tech industries worldwide in order to respond to the decreasing crop harvest due to global warming and abnormal weather phenomena. However, the fundamental performance standard is not currently being introduced in the case of plants factory and its commercialization is not activated because of high initial investment and operating cost. Large portion of the initial investment and operating cost of a plant factory is ascribed to artificial light sources and thermal control facilities, therefore, innovation should be provided in order to improve the economics of the plant factory. As an alternative, new plant factory could harness solar thermal and geothermal systems for heating, cooling and ventilation. In this study, a natural light dependent multi-layer plant factory's thermal environment was analyzed with two-dimensional numerical methods to elicit efficient operation conditions for optimized internal physical environment. Depending on the supply air temperature and airflow rate introduced in the facility, the temperature changes around the crops was interpreted. Since the air supplied into the plant factory does not stay long enough, the ambient temperature predicted around the plating trays was not significantly different from that of the supplied air. However, the changes of airflow rate and air flow pattern could cause difference to the temperature around the planting trays. Increasing the amount of time of air staying around the planting trays could improve energy performance in case the thermal environment of a natural light based multi-layer plant factory is considered.

Beehive (Hexagrid), New Innovated Structural System for Tall Buildings

  • Nejad, Peyman Askari
    • International Journal of High-Rise Buildings
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    • v.5 no.4
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    • pp.251-262
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    • 2016
  • Tall Buildings have been one of the most prominent symbols of economic growth for nearly a century. Yet, in the aftermath of the tragedies of September 11, "signature" Tall buildings have become the focus of much debate. The structural systems today are undergoing a major evolution to address the ability of providing flexibility in the design and use of the building together with sustainability (Green) and cost-effective system. This paper describes a new invented structural system, evolutionary structural analysis and design of Tall buildings, which involves the entire analysis process, including conceptual and design stages and comparison with the existing Tall building. This study presents an new innovative structural system, Beehive (Hexagrid), for Tall buildings. The final results are achieved by modeling an 80 story Tall building with the optimized angle and topology of hexagon members by using a computer analysis, ETABS finite element analysis. The objective function of this system is to use one structural system in order to both maximize Eigen frequency for resisting dynamic responses and minimize mean compliance for static responses. Finite element analysis is carried out by using standardized materials. Optimal Hexagrid topologies with the highest stiffness are finally determined to resist both static and dynamic behaviors. Holistic design integration approaches between structures and facades to save energy for environmental control are studied. Innovative design ideas to control structural motion as well as to utilize that motion to harness energy are discussed. Considering abundant emergence of tall buildings all over the world in recent years, the importance of the studies presented in this paper cannot be overemphasized for constructing more sustainable built environments.

MIRIS 우주관측카메라 FM Dewar 설계

  • Cha, Sang-Mok;Mun, Bong-Gon;Jeong, Ung-Seop;Lee, Dae-Hui;Nam, Uk-Won;Park, Yeong-Sik;Lee, Chang-Hui;Park, Seong-Jun;Lee, Deok-Haeng;Ga, Neung-Hyeon;Han, Won-Yong;Park, Jang-Hyeon;Seon, Gwang-Il;Yang, Sun-Cheol;Park, Jong-O;Lee, Seung-U;Lee, Hyung-Mok;Matsumoto, Toshio
    • The Bulletin of The Korean Astronomical Society
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    • v.35 no.1
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    • pp.40.2-40.2
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    • 2010
  • MIRIS 우주관측카메라는 과학기술위성 3호의 주탑재체로서 $0.8{\sim}2.0{\mu}m$의 근적외선영역에서 우주배경복사와 우리은하 평면의 Pa-$\alpha$ survey 관측을 목적으로 한다. 이러한 임무를 수행하기 위해 MIRIS 우주관측카메라에는 MCT(HgCdTe) IR 검출기가 사용되고 6개의 필터를 장착할 수 있는 필터휠이 설계되었으며, 열잡음을 줄이고 원하는 SNR을 얻기 위해 모두 100K 이하로 냉각이 요구된다. 효과적인 냉각 및 저온유지를 위해서 외부의 열을 1차적으로 차단하는 Cryostat 외부용기와 100K 이하로 냉각되는 내부 Cold Box의 이중구조를 가지는 Dewar가 설계 되었다. 내부 Cold Box의 냉각은 소형 stirling cooler로 이루어지고 외부의 열 유입량이 Cooler의 냉각용량을 넘지 않도록 설계하였다. Cryostat 외부용기는 radiation cooling으로 냉각되어 200K 이하의 온도를 유지하며 내부 Cold Box로의 열유입을 최소화하기 위해 GFRP(Glass Fiber Reinforced Plastic) 단열 지지대와 MLI(Multi Layer Insulation)가 사용된다. 또한 100K으로 냉각시 필터고정부와 Cold Box 구조에서 일어날 수 있는 구조적인 피로도를 줄이고 열변형에 의한 문제를 방지하기 위한 고려가 설계에 포함되었다. FM(Flight Model)은 고진공 환경의 우주공간에서 문제가 발생하지 않도록 설계되었다. 또한 EQM 진동시험결과를 토대로 발사환경에서 발생하는 강한 진동을 견딜 수 있도록 FEM(Finite Elements Method) 구조해석을 통하여 필터고정부에 flexible structure 설계와 완충제를 추가하고 필터휠 구동부와 harness 고정부 및 cooler 지지부를 비롯한 전체 구조물에서 충분히 진동을 극복할 수 있도록 설계하였다.

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