• 벤처창업연구
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• 제10권1호
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• pp.95-110
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• 2015

기업가정신이론을 비롯하여 많은 혁신이론들이 경영자의 혁신능력을 혁신의 출발로 보고 있다. 본 연구는 경영자의 혁신DNA라는 역설적 은유를 통해 혁신에 미치는 영향과 환경의 적합성 관계를 규명함으로써 학습과 노력에 의해 후천적으로 혁신역량을 높일 수 있는 구체적인 방향을 모색하는데 목적을 두고 있다. 이를 위해서 대구경북 110개 제조기업을 대상으로 자료를 수집하여 실증분석을 하였다. 실증분석 결과 혁신DNA는 혁신에 전반적으로 긍정적인 영향을 미치는 것을 확인하였다. 특히 발견DNA는 실행DNA보다 제품전략에 더 강하게 작용하는 반면에, 실행DNA는 공정혁신에 더 강하게 작용하는 것으로 나타났다. 혁신DNA와 환경의 적합성에 따른 혁신의 영향의 경우, 발견DNA와 기술격변성은 상호적합성을, 시장격변성은 보완적합성을 통해 제품혁신을 강화하는 것으로 나타났다. 실행DNA와 시장격변성의 상호적합성을 통해 공정혁신을 강화시키는 것으로 나타났다.

• 전기학회논문지
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• 제58권7호
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• pp.1424-1434
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• 2009

DNA computing-inspired pattern classification based on the hypernetwork model is a novel approach to pattern classification problems. The hypernetwork model has been shown to be a powerful tool for multi-class data analysis. However, the ordinary hypernetwork model has limitations, such as operating sequentially only. In this paper, we propose a efficient implementing method of DNA computing-inspired pattern classifier using GPU. We show simulation results of multi-class pattern classification from hand-written digit data, DNA microarray data and 8 category scene data for performance evaluation. and we also compare of operation time of the proposed DNA computing-inspired pattern classifier on each operating environments such as CPU and GPU. Experiment results show competitive diagnosis results over other conventional machine learning algorithms. We could confirm the proposed DNA computing-inspired pattern classifier, designed on GPU using CUDA platform, which is suitable for multi-class data classification. And its operating speed is fast enough to comply point-of-care diagnostic purpose and real-time scene categorization and hand-written digit data classification.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2005년도 하계 학술대회 논문집
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• pp.337-342
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• 2005

• 한국음향학회지
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• 제26권1호
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• pp.42-47
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• 2007

본 논문에서는 probe DNA의 고정화 및 Probe DNA와 target DNA의 혼성화 반응을 감지할 수 있는 DNA 측정용 고주파 SAW 센서의 주파수 증대에 따른 감도향상에 대해 연구하였다. 센서는 $36^{\circ}$ YX $LiTaO_3$ 압전 단결정 기판위에 Au 박막이 증착된 측정채널 (sensing channel)과 기준채널 (reference channel)로 구성되며 200MHz에서 발진되는 이중 지연선 형태로 제작되었다. 또한 SAW 센서의 감지 미케니즘의 최적화를 위해 SAW 센서의 Au 지연선상의 Probe DNA의 최적 고정화 반응농도와 target DNA의 최적 혼성화 반응농도를 결정하였으며, 디지털 시린지 펌프시스템을 구성하여 실험자에 따른 오차를 최소화하였다. 측정채널의 Au 박막 지연선상에 probe DNA를 고정화시킨 후 target DNA를 주입하면, DNA의 혼성화 반응이 일어나며 Au 지연선상의 질량이 변하게 된다. 따라서 질량하중 효과에 대한 센서의 주파수 변화를 측정하였다. 개발된 센서는 최대 0.066ng/ml/Hz의 민감도를 가지며 질량하중 효과에 대한 안정적인 주파수 변화를 나타내었다.

• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.53-62
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• 2006

DNA microarray data analysis is a new technology to investigate the expression levels of thousands of genes simultaneously. Since DNA microarray data structures are various and complicative, the data are generally stored in databases for approaching to and controlling the data effectively. But we have some difficulties to analyze and control the data when the data are stored in the several database management systems or that the data are stored to the file format. The existing analysis tools for DNA microarray data have many difficult problems by complicated instructions, and dependency on data types and operating system. In this paper, we design and implement network-based analysis tool for obtaining to useful information from DNA microarray data. When we use this tool, we can analyze effectively DNA microarray data without special knowledge and education for data types and analytical methods.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.49.3-49
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• 2001

In 1994 Adelman´s pioneer work demonstrated that deoxyribonucleic acid (DNA) could be used as a medium for computation to solve mathematical problems. He described the use of DNA based computational approach to solve the Hamiltonian Path Problem (HPP). Since then a number of combinatorial problems have been analyzed by DNA computation approaches including, for example: Maximum Independent Set (MIS), Maximal Clique and Satisfaction (SAT) Problems. In the present paper we propose a method of solving another classic combinatorial optimization problem - the eraph Coloring Problem (GCP), using specifically designed circular DNA plasmids as a computation tool. The task of the analysis is to color the graph so that no two nodes ...

• 한국음향학회지
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• 제24권3호
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• pp.160-165
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• 2005

본 연구에서는 DNA의 고정화 및 DNA 혼성화 반응을 감지할 수 있는 SH형 SAW 센서를 개발하였다. 고정화 및 혼성화 반응에 사용된 탐침 DNA 및 표적 DNA는 상보적 결합이 일어날 수 있는 염기서열을 가진 15-mer의 올리고뉴클레 오티드를 사용하였다. SH형 SAW 센서는 압전 단결정 $36^{\circ}\;YX\;LiTaO_3$를 사용하여 100 MHz로 발진되는 이중 지연선 형태로 제작하였다. 제작된 센서는 Au가 증착된 박막위에 고정화된 탐침 DNA와 표적 DNA와의 혼성화 반응을 시키고 난 후 센서의 주파수 변화를 측정하였으며, DNA 고정화 및 혼성화 반응은 pH 7.4의 PBS 완충용액상에서 수행하였다. 개발된 SH형 SAW센서는 $1.55 {\cal}ng/{\cal}ml/Hz$의 민감도를 가지며, DNA 혼성화 특성에 기인한 질량하중 효과에 따른 안정적인 주파수 변화를 나타내었다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권3호
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• pp.1339-1344
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• 2014

Aims: Alterations in mitochondrial DNA (mtDNA) have been implicated in carcinogenesis and tumor progression. We here evaluated the diagnostic and prognostic potential of mtDNA as a biomarker for breast cancer. Methods: Using multiplex real-time polymerase chain reaction, nuclear DNA (nDNA) and mtDNA levels in serum, buffy coat, tumor, and tumor-adjacent tissue samples from 50 breast cancer patients were determined and assessed for associations with clinicopathological features. To evaluate mtDNA as a biomarker for distinguishing between the four sample types, we created receiver operating characteristic (ROC) curves. Results: The mtDNA levels in buffy coat were significantly lower than in other sample types. Relative to tumor-adjacent tissue, reduced levels of mtDNA were identified in buffy coat and tumor tissue but not in serum. According to ROC curve analysis, mtDNA levels could be used to distinguish between buffy coat and tumor-adjacent tissue samples with good sensitivity (77%) and specificity (83%). Moreover, mtDNA levels in serum and tumor tissue were positively associated with cancer TMN stage. Conclusions: The mtDNA levels in blood samples may represent a promising, non-invasive biomarker in breast cancer patients. Additional, large-scale validation studies are required to establish the potential use of mtDNA levels in the early diagnosis and monitoring of breast cancer.

• Asian Pacific Journal of Cancer Prevention
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• 제16권18호
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• pp.8299-8305
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• 2016

Background: In Egypt, breast cancer is estimated to be the most common cancer among females. It is also a leading cause of cancer-related mortality. Use of circulating cell-free DNA (ccf-DNA) as non-invasive biomarkers is a promising tool for diagnosis and follow-up of breast cancer (BC) patients. Objective: To assess the role of circulating cell free DNA (nuclear and mitochondrial) in diagnosing BC. Materials and Methods: Multiplex real time PCR was used to detect the level of ccf nuclear and mitochondrial DNA in the peripheral blood of 50 breast cancer patients together with 30 patients with benign lesions and 20 healthy controls. Laboratory investigations, histopathological staging and receptor studies were carried out for the cancer group. Receiver operating characteristic curves were used to evaluate the performance of ccf-nDNA and mtDNA. Results: The levels of both nDNA and mtDNA in the cancer group were significantly higher in comparison to the benign and the healthy control group. There was a statistically significant association between nDNA and mtDNA levels and well established prognostic parameters; namely, histological grade, tumour stage, lymph node status andhormonal receptor status. Conclusions: Our data suggests that nuclear and mitochondrial ccf-DNA may be used as non-invasive biomarkers in BC.

• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1161-1167
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• 2006

Since microarray data structures are various and complicative, the data are generally stored in databases for approaching to and controlling the data effectively. But we have some difficulties to analyze and control the data when the data are stored in the several database management systems. The existing analysis tools for DNA microarray data have many difficult problems by complicated instructions, and dependency on data types and operating system, and high cost, etc. In this paper, we design and implement the web-based analysis tool for obtaining to useful information from DNA microarray data. When we use this tool, we can analyze effectively DNA microarray data without special knowledge and education for data types and analytical methods.