• 한국가금학회지
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• 제28권2호
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• pp.143-153
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• 2001

Using bioinformatic tools for searching the massive genome databases, it is possible to Identify new genes in few minutes for initial discoveries based on evolutionary conservation, domain homology, and tissue expression patterns, followed by further verification and characterization using the bench-top works. The development of high-density two-dimensional arrays has allowed the analysis of the expression of thousands of genes simultaneously in the humans, mice, rats, yeast, and bacteria to elucidate the genes and pathways involved in physiological processes. In addition, rapid and automated protein identification is being achieved by searching protein and nucleotide sequence databases directly with data generated from mass spectrometry. Recently, analysis at the bio-chemical level such as biochemical screening and metabolic profiling (Biochemical genomics) has been introduced as an additional approach for categorical assignment of gene function. To make advantage of recent achievements in computational approaches for facilitated gene discoveries in the avian model, chicken expression sequence tags (ESTs) have been reported and deposited in the international databases. By searching EST databases, a chicken heparanase gene was identified and functionally confirmed by subsequent experiments. Using combination of sub-tractive hybridization assay and Genbank database searches, a chicken heme -binding protein family (cSOUL/HBP) was isolated in the retina and pineal gland of domestic chicken and verified by Northern blot analysis. Microarrays have identified several host genes whose expression levels are elevated following infection of chicken embryo fibroblasts (CEF) with Marek's disease virus (MDV). The ongoing process of chicken genome projects and new discoveries and breakthroughs in genomics and proteomics will no doubt reveal new and exciting information and advances in the avian research.

• 기술혁신연구
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• 제20권1호
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• pp.75-114
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• 2012

한국의 혁신체제는 모방학습 기제에 기초한 추격형 혁신체제에서 벗어나 스스로 개념과 새로운 가치를 창출하는 탈추격형 혁신체제로의 전환 필요성이 대두되고 있다. '탈추격' 연구는 한국 혁신체제 내에서 발흥하는 새로운 형태의 혁신활동과 혁신주체간 관계를 포괄할 수 있는 새로운 개념틀의 필요성에 부응하려는 노력으로 이해할 수 있다. 탈추격 혁신활동은 후발산업국가의 기술능력 축적에 따라 추격대상이 존재하지 않고 스스로 혁신경로를 개척하는 혁신활동이며, 기술역량의 축적 만을 의미하는 것이 아니라 현재와는 다른 조직 및 제도적 배열, 사회적 규칙의 형성을 포괄하는 개념이다. 이런 의미에서 탈추격 연구는 제도론, 진화이론, 발전론의 이론적 전통과 맥락을 함께 하고 있다고 할 수 있다. 본 논문은 이러한 문제의식에 근거하여 후발산업국인 한국에서의 탈추격 혁신활동을 포괄할 수 있는 새로운 이론틀의 정립과 향후 연구 과제를 도출하기 위한 목적을 가지고 있다.

• 산업클러스터
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• 제2권1호
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• pp.14-27
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• 2008

마이클 포터에 의해 소개된 클러스터는 지난 십여 년간 많은 학자들의 관심과 분석의 대상이었다. 그러나 최근 연구들은 포터가 소개했던 클러스터 개념 이 수정되어야 할 필요성을 제시해 주고 있다. 특히 클러스터가 외부 세계와는 재화와 용역의 수출입만으로 연결된 지리적으로 국한된 지역이라는 개념은 의심의 여지가 충분하다. 지역발전에 있어 관계 중심적 접근은 클러스터 외부의 중요 협력파트너들과의 네트워크를 통해 이루어지는 지식과 정보의 교환이 가지는 중요성을 강조한다. 기업들은 이들 협력파트너들과 다양한 형태의 관계를 형성하는 것이다. 본 논문은 글로벌 네트워크를 중시하는 최근의 추세와 서유럽의 구산업지역인 스코틀랜드의 경험을 바탕으로 기존의 클러스터 개념의 재해석을 시도한다. 스코틀랜드 지역의 클러스터 경험을 평가함에 있어 본 논문은 석유와 가스, 전기 클러스터를 분석한다. 마지막으로 본 논문은 클러스터 정책은 해당 지역이 주요산업 및 클러스터에 대한 오너십과 콘트롤을 충분히 가지고 있을 경우에만 지속적인 효과를 거둘 수 있다고 결론짓는다.

• 산업경영시스템학회지
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• 제40권2호
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• pp.111-120
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• 2017

This paper proposes an improved standard genetic algorithm (GA) of making a near optimal schedule for integrated process planning and scheduling problem (IPPS) considering tool flexibility and tool related constraints. Process planning involves the selection of operations and the allocation of resources. Scheduling, meanwhile, determines the sequence order in which operations are executed on each machine. Due to the high degree of complexity, traditionally, a sequential approach has been preferred, which determines process planning firstly and then performs scheduling independently based on the results. The two sub-problems, however, are complicatedly interrelated to each other, so the IPPS tend to solve the two problems simultaneously. Although many studies for IPPS have been conducted in the past, tool flexibility and capacity constraints are rarely considered. Various meta-heuristics, especially GA, have been applied for IPPS, but the performance is yet satisfactory. To improve solution quality against computation time in GA, we adopted three methods. First, we used a random circular queue during generation of an initial population. It can provide sufficient diversity of individuals at the beginning of GA. Second, we adopted an inferior selection to choose the parents for the crossover and mutation operations. It helps to maintain exploitation capability throughout the evolution process. Third, we employed a modification of the hybrid scheduling algorithm to decode the chromosome of the individual into a schedule, which can generate an active and non-delay schedule. The experimental results show that our proposed algorithm is superior to the current best evolutionary algorithms at most benchmark problems.

• Animal cells and systems
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• 제8권4호
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• pp.295-300
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• 2004

In the breeding colony of black-tailed gull, as nests of conspecific neighbors are very closely located, chicks are permanently exposed by sound and visual stimuli produced by adult conspecifics approaching their nests. The chicks, therefore, may need to learn ways to appropriately respond to their parents approach. In this study we experimentally manipulated sensory stimulation that is potentially provided by the parents to the offspring. Chicks incubated in the laboratory were exposed to a mew call of the conspecific adult. Then they were tested in three situations differing in sensory stimulation: 1) visual stimulation only, 2) auditory stimulation only, and 3) Simultaneous visual and auditory stimulations. We observed occurrence of different response of the chicks, which were categorized into three behaviors (begging call response, chirirah call and pecking behavior). We also investigated intensity of the chicks call in response to the different stimulations and the degree of response with age. The chicks exposed to only auditory stimulation made significantly more chirirah calls. The intensities (dB) of the mew call and chicks chirirah call were directly correlated. On the other hand, when chicks just saw the stuffed adult gull, they responded significantly more with a begging call and pecking behavior. In the situation of costimulation, the chicks responded with a begging call and pecking, but less frequently than visual stimulation only. The results suggest that young black-tailed gulls use call repertories to properly respond to parents behavior. Such results suggest an evolutionary process for uncreasing their survival rate in a group breeding site.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권3호
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• pp.206-215
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• 2005

In this paper, we propose a new design method of Genetic Algorithm Processor(GAP) and Evolvable Hardware(EHW). All sorts of creature evolve its structure or shape in order to adapt itself to environments. Evolutionary Computation based on the process of natural selection not only searches the quasi-optimal solution through the evolution process, but also changes the structure to get best results. On the other hand, Genetic Algorithm(GA) is good fur finding solutions of complex optimization problems. However, it has a major drawback, which is its slow execution speed when is implemented in software of a conventional computer. Parallel processing has been one approach to overcome the speed problem of GA. In a point of view of GA, long bit string length caused the system of GA to spend much time that clear up the problem. Evolvable Hardware refers to the automation of electronic circuit design through artificial evolution, and is currently increased with the interested topic in a research domain and an engineering methodology. The studies of EHW generally use the XC6200 of Xilinx. The structure of XC6200 can configure with gate unit. Each unit has connected up, down, right and left cell. But the products can't use because had sterilized. So this paper uses Vertex-E (XCV2000E). The cell of FPGA is made up of Configuration Logic Block (CLB) and can't reconfigure with gate unit. This paper uses Vertex-E is composed of the component as cell of XC6200 cell in VertexE

• 한국시뮬레이션학회논문지
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• 제22권1호
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• pp.63-75
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• 2013

스쿨버스 경로문제는 학생들을 다수의 승차지점으로부터 학생들의 해당 학교까지 안전하고 효율적으로 수송할 수 있는 방법을 찾는 문제이다. 일반적인 스쿨버스 경로문제의 제약 조건으로는 차량의 용량, 학생의 최대 수송 시간, 학교의 도착 시간 제약 등이 있다. 본 연구에서는 기존의 혼승을 허용한 스쿨버스 경로 문제를 확장한 모델을 구축하고, 국내의 대학교 스쿨버스 운영 형태를 고려하여 학생들이 승차지점에 유동적으로 유입이 되는 상황을 고려한다. 본 연구에서 제시하는 모델에 대한 실험을 하기 위하여, 첫 단계로 Sweep Algorithm을 이용하여 초기 경로를 구성한다. 두 번째 단계에서는 전역탐색 능력이 있는 메타 휴리스틱 방법인 Genetic Algorithm을 이용하여 최선해을 도출 한다. 또한, 기존의 스쿨버스 경로문제에 적용되었던 현실 가능성 있는 제약들을 완화하여 다양한 시나리오를 구성하고 시나리오별 비교우위 평가를 한다.

• 한국지능시스템학회논문지
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• 제19권5호
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• pp.689-694
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• 2009

본 논문은 일별 및 주별로 시계열 주가를 예측할 수 있는 퍼지 모델을 구성하는 방법을 제안한다. 전통적인 시계열 분석으로 주가를 예측하는 것은 어렵지만 퍼지 모델은 비선형적인 주가 데이터의 특성을 잘 기술할 수 있는 장점을 갖고 있다. 주가 예측 모델에 사용될 입력 정보를 결정하는 데는 상당한 수고가 필요한데, 본 논문에서는 전통적인 캔들 스틱 차트의 정보를 입력변수로 고려한다. 주가 예측 퍼지 모델은 사다리꼴 멤버쉽함수를 갖는 전건부와 비선형식인 후건부로 된 퍼지 규칙으로 구성된다. 차분 진화를 통해 퍼지 모델은 최적화된다. 일별 및 주별로 코스피 지수의 시가, 고가, 저가 및 종가를 예측하는 모델을 만들고 그 성능을 평가한다.

• Computers and Concrete
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• 제27권4호
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• pp.319-332
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• 2021

The performance of gene expression programming (GEP) in predicting the compressive strength of bacteria-incorporated geopolymer concrete (GPC) was examined in this study. Ground-granulated blast-furnace slag (GGBS), new bacterial strains, fly ash (FA), silica fume (SF), metakaolin (MK), and manufactured sand were used as ingredients in the concrete mixture. For the geopolymer preparation, an 8 M sodium hydroxide (NaOH) solution was used, and the ambient curing temperature (28℃) was maintained for all mixtures. The ratio of sodium silicate (Na2SiO3) to NaOH was 2.33, and the ratio of alkaline liquid to binder was 0.35. Based on experimental data collected from the literature, an evolutionary-based algorithm (GEP) was proposed to develop new predictive models for estimating the compressive strength of GPC containing bacteria. Data were classified into training and testing sets to obtain a closed-form solution using GEP. Independent variables for the model were the constituent materials of GPC, such as FA, MK, SF, and Bacillus bacteria. A total of six GEP formulations were developed for predicting the compressive strength of bacteria-incorporated GPC obtained at 1, 3, 7, 28, 56, and 90 days of curing. 80% and 20% of the data were used for training and testing the models, respectively. R2 values in the range of 0.9747 and 0.9950 (including train and test dataset) were obtained for the concrete samples, which showed that GEP can be used to predict the compressive strength of GPC containing bacteria with minimal error. Moreover, the GEP models were in good agreement with the experimental datasets and were robust and reliable. The models developed could serve as a tool for concrete constructors using geopolymers within the framework of this research.

• Journal of Animal Science and Technology
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• 제63권6호
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• pp.1411-1422
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• 2021

Lactobacillus acidophilus is a gram-positive, microaerophilic, and acidophilic bacterial species. L. acidophilus strains in the gastrointestinal tracts of humans and other animals have been profiled, but strains found in the canine gut have not been studied yet. Our study helps in understanding the genetic features of the L. acidophilus C5 strain found in the canine gut, determining its adaptive features evolved to survive in the canine gut environment, and in elucidating its probiotic functions. To examine the canine L. acidophilus C5 genome, we isolated the C5 strain from a Korean dog and sequenced it using PacBio SMRT sequencing technology. A comparative genomic approach was used to assess genetic relationships between C5 and six other strains and study the distinguishing features related to different hosts. We found that most genes in the C5 strain were related to carbohydrate transport and metabolism. The pan-genome of seven L. acidophilus strains contained 2,254 gene families, and the core genome contained 1,726 gene families. The phylogenetic tree of the core genes in the canine L. acidophilus C5 strain was very close to that of two strains (DSM20079 and NCFM) from humans. We identified 30 evolutionarily accelerated genes in the L. acidophilus C5 strain in the ratio of non-synonymous to synonymous substitutions (dN/dS) analysis. Five of these thirty genes were associated with carbohydrate transport and metabolism. This study provides insights into genetic features and adaptations of the L. acidophilus C5 strain to survive the canine intestinal environment. It also suggests that the evolution of the L. acidophilus genome is closely related to the host's evolutionary adaptation process.