• KIPS Transactions on Software and Data Engineering
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• v.10 no.5
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• pp.169-178
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• 2021

Recently, a bike-sharing system (BSS) has become popular as a convenient "last mile" transportation. Rebalancing of bikes is a critical issue to manage BSS because the rents and returns of bikes are not balanced by stations and periods. For efficient and effective rebalancing, accurate traffic prediction is important. Recently, cluster-based traffic prediction has been utilized to enhance the accuracy of prediction at the station-level and the clustering step is very important in this approach. In this paper, we propose a k-means based clustering algorithm that overcomes the drawbacks of the existing clustering methods for BSS; indeterministic and hardly converged. By employing the centroid initialization and using the temporal proportion of the rents and returns of stations as an input for clustering, the proposed algorithm can be deterministic and fast.

• Culinary science and hospitality research
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• v.16 no.5
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• pp.37-49
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• 2010

The purpose of this study is to examine how the workplace bullying recognition level of an employee in Korean foodservice industry, which more strongly depends on human services than other industries, influences on job satisfaction and turnover intention. To this end, we collected 250 samples of employees working in the kitchen of family restaurants. Among the collected 250 sample, 241 samples were usable for the analysis excluding 9. The result is as follows. Firstly, there is a difference in average of satisfaction in work according to each group of causes to recognize workplace bullying. That is, the group which vaguely recognizes bullying as for threat to professional status and isolation, and psychological harassment shows higher satisfaction in work than the group which recognizes the bullying well, which is statistically significant. The latter demonstrates more turnover intention than the former. Secondly, the research examining the effects of the causes of workplace bullying over the employees' satisfaction in work and turnover intention shows the following result. The causes to recognize workplace bullying of the employees have a negative effect(-) on job satisfaction on the whole. The causes to recognize workplace bullying of the employees have a positive influence(+) on turnover intention. In conclusion, manager in foodservice industry will need to provide employees with the environment which can help staff improve cooperation, unity and solidarity within the organization.

• Journal of Agricultural Extension & Community Development
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• v.20 no.3
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• pp.755-775
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• 2013

The study aims to segment rural tourism villages' selection attributes that affect experiences programs preferences and behavior intention in 6th industry. Based on the literature review, the measurement scales were developed and the data collected from on-site survey in 6th industry trade. Cluster analysis with rural tourism villages' selection attributes were conducted and MDA was run to verify segmented group rate. T-tests were conducted to see if there were any differences between segmented groups in terms of experiences programs preferences and behavior intention. More detailed discussion were provided in the conclusion.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.5
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• pp.159-166
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• 2002

Today print media survives in tough struggle for existence and is deep to development of new technology as well as edit style and manufacture environment improvement that utilize actively a computer to establish new phase, and Desk Top Publishing or information industry department and link development are required. Propose analysis and solution way that this paper is examining concept of electronic publishing and manufacture progress, and analyze reciprocity degree of electronic publishing process through active and cluster analysis, and electronic publishing knows.

• Korean Journal of Microbiology
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• v.46 no.2
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• pp.169-176
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• 2010

A pilot-scale wastewater treatment plant combined with rotating biological contactor and tapered aeration reactors was operated with the wastewater discharged from a food factory for 5 months. The bacterial communities of this plant were investigated by terminal restriction fragment length polymorphism (T-RFLP) and phylogenetic analysis of 16S rRNA genes. In spite of high concentration of nitrogen and phosphorus as well as organic carbon, removal efficiency of chemical oxygen demand, total nitrogen, and total phosphorus was 98%, 93%, and 95%, respectively. Bacterial community at the initial operation stage was clearly distinguished from that of the stable operation stage. The most predominant phylum in the sample of stable stage was Bacteroidetes. Major population of operation period was Haliscomenobacter, Sphaerotilus, and candidate division TM7, which were classified as filamentous bacteria. However, sludge bulking caused by these bacteria was not observed. The population that has a close relationship with Haliscomenobacter increased during the stable operation stage, emerging as the most predominant group. These results suggest that the filamentous bacteria participated in nutrient removal when using rotating biological contactor and tapered aeration reactor.

• Journal of Life Science
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• v.31 no.12
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• pp.1079-1087
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• 2021

To analyze gut microbiota of livestock in Korea and compare taxonomic differences, we conducted 16S rRNA metagenomic analysis through next-generation sequencing. Fecal samples from broiler chickens, pigs, and cattle were collected from domestic feedlots randomly. α-diversity results showed that significant differences in estimated species richness estimates (Chao1 and ACE, Abundance-based coverage estimators) and species richness index (OUTs, Operational taxonomic units) were identified among the three groups. However, NPShannon, Shannon, and Simpson indices revealed that abundance and evenness of the species were statistically significant only for poultry (broiler chickens) and mammals (pigs and cattle). Firmicutes was the most predominant phylum in the three groups of fecal samples. Linear discriminant (LDA) effect size (LEfSe) analysis was conducted to reveal the ranking order of abundant taxa in each of the fecal samples. A size-effect over 2.0 on the logarithmic LDA score was used as a discriminative functional biomarker. As shown by the fecal analysis at the genus level, broiler chickens were characterized by the presence of Weissella and Lactobacillus, as well as pigs were characterized by the presence of provetella and cattele were characterized by the presence of Acinetobacter. A permutational multivariate analysis of variance (PERMANOVA) showed that differences of microbial clusters among three groups were significant at the confidence level. (p=0.001). This study provides basic data that could be useful in future research on microorganisms associated with performance growth, as well as in studies on the livestock gut microbiome to increase productivity in the domestic livestock industry.

• Bioindustry News
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• v.13 no.2
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• pp.43-52
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• 2000

• Bioindustry News
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• v.14 no.4
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• pp.29-34
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• 2001

• Bioindustry News
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• v.14 no.2
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• pp.11-16
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• 2001

• Korean Journal of Microbiology
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• v.40 no.4
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• pp.307-312
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• 2004

Diversity of the bacterial communities and the relation between community structure and components of waste­water were analyzed by 16S rRNA-based molecular techniques. Clone libraries of the 16S rDNAs from the sludges were constructed by PCR and cloning. The 1,151 clones from a sludge sample of sewage treatment plant were clustered into 699 RFLP phylotypes and the 1,228 clones from the wastewater disposal plant of chemical industry were clustered into 300 RFLP phylotypes. Shannon-Weiner diversity indices of two sampling sites were 8.7 and 6.1, indicating that the bacterial community structure of sewage treatment plant was more diverse than that of wastewater disposal plant of chemical industry. Forty clones belonging to predominant RFLP types were selected and sequenced. Seventy percent (28 clones) of the sequenced clones were related to the uncultured bacteria in public databases. The ${\beta}-Proteobacteria$ dominated in the bacterial communities of investigated two sludge samples. 16S rDNA sequences of the sewage treatment plant were similar to those of other activated sludges, while the bacterial community in wastewater disposal plant of chemical industry rep­resented the strains identified from high-temperature, anaerobic, hydrocarbon-rich, and sulfur-rich environ­ments. This result suggested that bacterial communities depended upon the components of wastewater.