• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.1884-1903
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• 2019

Device-to-Device (D2D) communications can provide proximity based services in the future 5G cellular networks. It allows short range communication in a limited area with the advantages of power saving, high data rate and traffic offloading. However, D2D communications may reuse the licensed channels with cellular communications and potentially result in critical interferences to nearby devices. To control the interference and improve network throughput in overlaid D2D cellular networks, a novel channel assignment approach is proposed in this paper. First, we characterize the performance of devices by using Poisson point process model. Then, we convert the throughput maximization problem into an optimal spectrum allocation problem with signal to interference plus noise ratio constraints and solve it, i.e., assigning appropriate fractions of channels to cellular communications and D2D communications. In order to mitigate the interferences between D2D devices, a cluster-based multi-channel assignment algorithm is proposed. The algorithm first cluster D2D communications into clusters to reduce the problem scale. After that, a multi-channel assignment algorithm is proposed to mitigate critical interferences among nearby devices for each D2D cluster individually. The simulation analysis conforms that the proposed algorithm can greatly increase system throughput.

• 대한안전경영과학회지
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• 제23권1호
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• pp.81-94
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• 2021

In SMEs, technological innovation is recognized as an important tool in terms of sustainable growth. This study analyzed the determinants of technological innovation by using the information of the corporate panel DB composed of local SMEs. The internal factors were added with technological innovation capacity and production capacity and the industrial cluster environment was first applied to external factors. Also, whether the industrial cluster environment influences technological innovation through R&D capabilities, the mediating effect was tested with the Sobel Test. Among the internal and external factors, the most important determinant was marketing ability, and a policy was proposed to develop measures to increase R&D capability with mediating effect. Among the technological innovation variables, which are dependent variables, the most determinant factor was the proportion of new product sales. For this, it is considered that additional research such as longitudinal research with the concept of repetition and parallax using the corporate panel DB is necessary.

• 지능정보연구
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• 제27권1호
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• pp.1-21
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• 2021

글로벌 경영환경 변화로 기술개발과 시장니즈의 불확실성이 커지고 기업 간 상호 경쟁이 심화되면서 개별 기업들의 연구개발 활동에 대한 관심과 요구가 증가하고 있다. 이러한 환경변화에 대응하기 위하여 연구개발 기업들은 설비투자에 더욱 신중을 가하면서 연구개발의 질적인 경쟁력을 제고시키기 위한 수단 중 하나로 연구개발 투자를 강화하고 있다. 결과적으로 설비나 연구개발 투자 요소는 연구개발 기업들의 입장에서는 미래 불확실성을 떠안아야하는 부담이 될 수 밖에 없다. 단지 연구개발 역량을 제고시키기 위한 수단으로 연구개발 투자를 증가시키는 경영 전략은 기업성과측면에서 불확실성이 높은 것이 사실이다. 본 연구에서는 데이터마이닝 기법을 활용하여 기업들의 연구개발 역량에 영향을 주는 특성들을 기술경영능력, 연구개발능력, 그리고 기업분류 속성 관점에서 탐색하고 이러한 개별 요인들이 연구개발 역량의 수준에 따라 나타나는 특성들을 탐색하였다. 이를 위해서 국내 연구개발 기업 전체를 대상으로 증거데이터에 근거해 군집분석과 실험결과를 제시하였다. 상기의 3개 관점마다 세부 평가지표를 각각 7개, 2개, 4개로 구성하여 해당 영역에서의 개별적인 수준을 정량적으로 측정하고자 하였다. 기술경영능력과 연구개발능력의 경우 현행 기술력 평가기관들이 주도적으로 활용하고 있는 소항목 평가지표를 참조하였으며, 이때 정량적으로 자료 확보가능한지 여부를 고려하여 최종적인 세부 평가지표를 새롭게 구성하였다. 기업분류 속성의 경우에는 가장 기본적인 기업 분류 프로파일 정보를 고려하여 구성하였다. 특히 연구개발 역량수준의 동질성 파악을 위해서 기술경영능력과 연구개발능력의 세부평가지표를 활용하여 개별기업별 종합점수를 부여하였으며, 이때 역량수준을 5개의 등급으로 분류하여 군집분석 결과와 비교하였다. 분석된 군집과 역량수준 등급과의 비교평가에 따른 의미를 부여하기 위해서 군집별로 연구개발 역량수준이 높은 경향과 낮은 경향이 존재하는 군집들을 탐색하였다. 이후 해당 군집에서 세부 평가지표에 따른 특징들을 분석하였다. 이와 같은 연구수행 방법을 통해 연구 개발 역량수준이 높은 군집이 2개, 낮은 군집이 1개로 분석되었으며, 나머지 2개의 군집들은 역량수준이 거의 높은 발생 빈도로 유사하게 나타났다. 결과적으로 본 연구에서는 역량수준이 높은 2개 군집과 낮은 1개의 군집들을 대상으로 세부 평가지표에 따른 개별적 특징들을 분석하였다. 본 연구의 결과가 제시하고 있는 시사점은 기술변화 속도와 시장수요의 변화에 효과적으로 대응할 수 있는 전문 경영자의 교체주기가 빠를수록 연구개발 역량 제고에 기여할 가능성이 높다는 점이다. 개인기업의 경우에 법인기업으로의 전환을 통해 연구개발 인력들의 기업에 대한 소속감을 제고시킴으로써 연구개발 역량의 투입강도를 높일 필요가 있으며, 조직적 측면에서도 팀단위의 조직구성을 통해 책임과 권한의 정확성을 제공할 필요가 있다는 점이다. 기술상용화 실적건수나 기술인증건수는 역량제고에 기여하는 경우와 그렇지 않은 경우 모두 발생되고 있어, 경영자 입장에서 연구개발 역량제고를 위한 중요 인자로 검토하는데 한계가 있는 것으로 확인되었다. 마지막으로 실용신안출원의 경험 여부는 연구개발 역량에 중요한 영향을 미치는 요인으로 파악되어, 연구개발 역량 제고를 위해서는 실용신안출원 장려를 위한 동기부여를 제공할 필요성을 확인하였다. 이처럼 본 연구결과는 개별 기업들의 연구개발 역량 제고를 위한 기업 경영전략의 중요한 시사점을 제공할 수 있을 것으로 기대된다.

• Nuclear Engineering and Technology
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• 제52권5호
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• pp.984-994
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• 2020

It is reported that about 20% of accidents at nuclear power plants in Korea and abroad are caused by human error. One of the main factors contributing to human error is fatigue, so it is necessary to prevent human errors that may occur when the task is performed in an improper state by grasping the status of the operator in advance. In this study, we propose a method of evaluating operator's fitness-for-duty (FFD) using various parameters including eye movement data, subjective fatigue ratings, and operator's performance. Parameters for evaluating FFD were selected through a literature survey. We performed experiments that test subjects who felt various levels of fatigue monitor information of indicators and diagnose a system malfunction. In order to find meaningful characteristics in measured data consisting of various parameters, hierarchical clustering analysis, an unsupervised machine-learning technique, is used. The characteristics of each cluster were analyzed; fitness-for-duty of each cluster was evaluated. The appropriateness of the number of clusters obtained through clustering analysis was evaluated using both the Elbow and Silhouette methods. Finally, it was statistically shown that the suggested methodology for evaluating FFD does not generate additional fatigue in subjects. Relevance to industry: The methodology for evaluating an operator's fitness for duty in advance is proposed, and it can prevent human errors that might be caused by inappropriate condition in nuclear industries.

• Asian-Australasian Journal of Animal Sciences
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• 제25권2호
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• pp.177-182
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• 2012

To investigate the genetic diversity of seven Chinese indigenous meat goat breeds (Tibet goat, Guizhou white goat, Shannan white goat, Yichang white goat, Matou goat, Changjiangsanjiaozhou white goat and Anhui white goat), explain their genetic relationship and assess their integrity and degree of admixture, 302 individuals from these breeds and 42 Boer goats introduced from Africa as reference samples were genotyped for 11 microsatellite markers. Results indicated that the genetic diversity of Chinese indigenous meat goats was rich. The mean heterozygosity and the mean allelic richness (AR) for the 8 goat breeds varied from 0.697 to 0.738 and 6.21 to 7.35, respectively. Structure analysis showed that Tibet goat breed was genetically distinct and was the first to separate and the other Chinese goats were then divided into two sub-clusters: Shannan white goat and Yichang white goat in one cluster; and Guizhou white goat, Matou goat, Changjiangsanjiaozhou white goat and Anhui white goat in the other cluster. This grouping pattern was further supported by clustering analysis and Principal component analysis. These results may provide a scientific basis for the characteristization, conservation and utilization of Chinese meat goats.

• 한국발생생물학회지:발생과생식
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• 제16권4호
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• pp.315-320
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• 2012

The gDNA isolated from Cyclina sinensis from Gochang (GOCHANG), Incheon (INCHEON) and a Chinese site (CHINESE), were amplified by PCR. Here, the seven oligonucleotide decamer primers (BION-66, BION-68, BION-72, BION-73, BION-74, BION-76, and BION-80) were used to generate the unique shared loci to each population and shared loci by the three cyclina clam populations. As regards multiple comparisons of average bandsharing value results, cyclina clam population from Chinese (0.763) exhibited higher bandsharing values than did clam from Incheon (0.681). In this study, the dendrogram obtained by the seven decamer primers indicates three genetic clusters: cluster 1 (GOCHANG 01~GOCHANG 07), cluster 2 (INCHEON 08~INCHEON 14), cluster 3 (CHINESE 15~CHINESE 21). The shortest genetic distance that displayed significant molecular differences was between individuals 15 and 17 from the Chinese cyclina clam (0.049), while the longest genetic distance among the twenty-one cyclina clams that displayed significant molecular differences was between individuals GOCHANG no. 03 and INCHEON no. 12 (0.575). Individuals of Incheon cyclina clam population was somewhat closely related to that of Chinese cyclina clam population. In conclusion, our PCR analysis revealed a significant genetic distance among the three cyclina clam populations.

• 한국발생생물학회지:발생과생식
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• 제17권4호
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• pp.363-367
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• 2013

PCR analysis generated on the genetic data showed that the geographic hairtail (Trichiurus lepturus) population from Korea in the Yellow Sea was more or less separated from geographic hairtail population from China in the South Sea. The average bandsharing value ($mean{\pm}SD$) within hairtail population from Korea showed $0.859{\pm}0.031$, whereas $0.752{\pm}0.039$ within population from China. Also, bandsharing values between two hairtail populations ranged from 0.470 to 0.611, with an average of $0.542{\pm}0.059$. As compared separately, the bandsharing values of individuals within hairtail population from Korea were comparatively higher than those of individuals within population from China. The hierarchical dendrogram resulted from reliable oligonucleotides primers, indicating two genetic clusters composed of cluster 1 (KOREANHAIR1~KOREANHAIR11) and cluster 2 (CHINESEHAI12~CHINESEHAI22). The genetic distances between two geographic populations ranged from 0.038 to 0.476. Individual No. 11 within hairtail population from Korea was genetically closely related with No. 10 (genetic distance=0.038). The longest genetic distance (0.476) displaying significant molecular difference was also between individual No. 01 within hairtail population from Korea and No. 22 from Chinese. In the present study, PCR analysis has revealed significant genetic distances between two hairtail population pairs (P<0.05).

• 한국발생생물학회지:발생과생식
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• 제23권2호
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• pp.193-198
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• 2019

Genomic DNA samples were obtained from cultured penaeid shrimp (Penaeus chinensis) individuals such as fresh shrimp population (FSP) and deceased shrimp population (DSP) from Shinan regions in the Korean peninsula. In this study, 233 loci were identified in the FSP shrimp population and 162 in the DSP shrimp population: 33 specific loci (14.2%) in the FSP shrimp population and 42 (25.9%) in the DSP population. A total of 66 (an average of 9.4 per primer) were observed in DSP shrimp population, whereas 55 unique loci to each population (an average of 7.9 per primer) in the FSP shrimp population. The Hierarchical dendrogram extended by the seven oligonucleotides primers indicates three genetic clusters: cluster 1 (FRESH 01, 02, and DECEASED 12, 13, 15, 16, 17, 19, 20, 22) and cluster 2 (FRESH 03, 04, 05, 06, 07, 08, 09, 10, 11, and DECEASED 14, 18, 21). Among the twenty-two shrimp, the shortest genetic distance that exposed significant molecular differences was between individuals 20 and 16 from the DSP shrimp population (genetic distance=0.071), while the longest genetic distance among the twenty-two individuals that established significant molecular differences was between individuals FRESH no. 02 and FRESH no. 04 (genetic distance=0.477). In due course, PCR analysis has revealed the significant genetic distance among two penaeid shrimp populations.

• The Plant Pathology Journal
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• 제37권4호
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• pp.389-395
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• 2021

Soil is the major source of plant-associated microbes. Several fungal and bacterial species live within plant tissues. Actinomycetes are well known for producing a variety of antibiotics, and they contribute to improving plant health. In our previous report, Streptomyces globisporus SP6C4 colonized plant tissues and was able to move to other tissues from the initially colonized ones. This strain has excellent antifungal and antibacterial activities and provides a suppressive effect upon various plant diseases. Here, we report the genome-wide analysis of antibiotic producing genes in S. globisporus SP6C4. A total of 15 secondary metabolite biosynthetic gene clusters were predicted using antiSMASH. We used the CRISPR/Cas9 mutagenesis system, and each biosynthetic gene was predicted via protein basic local alignment search tool (BLAST) and rapid annotation using subsystems technology (RAST) server. Three gene clusters were shown to exhibit antifungal or antibacterial activity, viz. cluster 16 (lasso peptide), cluster 17 (thiopeptide-lantipeptide), and cluster 20 (lantipeptide). The results of the current study showed that SP6C4 has a variety of antimicrobial activities, and this strain is beneficial in agriculture.

• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.270-278
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• 2023

We propose a container orchestration system for process workloads that combines the potential of big data and machine learning technologies to integrate enterprise process-centric workloads. This proposed system analyzes big data generated from industrial automation to identify hidden patterns and build a machine learning prediction model. For each machine learning case, training data is loaded into a data store and preprocessed for model training. In the next step, you can use the training data to select and apply an appropriate model. Then evaluate the model using the following test data: This step is called model construction and can be performed in a deployment framework. Additionally, a visual hierarchy is constructed to display prediction results and facilitate big data analysis. In order to implement parallel computing of PCA in the proposed system, several virtual systems were implemented to build the cluster required for the big data cluster. The implementation for evaluation and analysis built the necessary clusters by creating multiple virtual machines in a big data cluster to implement parallel computation of PCA. The proposed system is modeled as layers of individual components that can be connected together. The advantage of a system is that components can be added, replaced, or reused without affecting the rest of the system.