• Journal of Microbiology and Biotechnology
• /
• v.26 no.6
• /
• pp.1026-1034
• /
• 2016

In the current study, a total of 135 enterococci strains from different sources were screened for the presence of the enterocin-encoding genes entA, entP, entB, entL50A, and entL50B. The enterocin genes were present at different frequencies, with entA occurring the most frequently, followed by entP and entB; entL50A and L50B were not detected. The occurrence of single enterocin genes was higher than the occurrence of multiple enterocin gene combinations. The 80 isolates that harbor at least one enterocin-encoding gene (denoted "Gene⁺ strains") were screened for antimicrobial activity. A total of 82.5% of the Gene⁺ strains inhibited at least one of the indicator strains, and the isolates harboring multiple enterocin-encoding genes inhibited a larger number of indicator strains than isolates harboring a single gene. The indicator strains that exhibited growth inhibition included Listeria innocua strain CLIP 12612 (ATCC BAA-680), Listeria monocytogenes strain CDC 4555, Enterococcus faecalis ATCC 29212, Staphylococcus aureus ATCC 25923, S. aureus ATCC 29213, S. aureus ATCC 6538, Salmonella enteritidis ATCC 13076, Salmonella typhimurium strain UK-1 (ATCC 68169), and Escherichia coli BAC 49LT ETEC. Inhibition due to either bacteriophage lysis or cytolysin activity was excluded. The growth inhibition of antilisterial Gene⁺ strains was further tested under different culture conditions. Among the culture media formulations, the MRS agar medium supplemented with 2% (w/v) yeast extract was the best solidified medium for enterocin production. Our findings extend the current knowledge of enterocin-producing enterococci, which may have potential applications as biopreservatives in the food industry due to their capability of controlling food spoilage pathogens.

• Journal of Ship and Ocean Technology
• /
• v.5 no.1
• /
• pp.1-13
• /
• 2001

As Indonesia determines to increase its marine fishery production, the development of tradi-tional boatyards has to be included in the agenda as it will give the local fishing communities a better chance to compete with large capital intensive fishing companies. It will also spread job opportunities evenly throughout the country instead of concentration fishing vessel con- struction in a few large shipyards located primarily on the highly populated island of Java. However development every single boatyard in indonesia would not only be prohibitively ex-pensive, but it would also create social tensions as the introduced technology would not be immediately accepted by the rural societies whose own traditions are still culturally signif-icant. Both these problems can be reduced by developing a collaborative scheme between traditional boatyards and a larger shipyard. The shipyard, with modern facilities, can develop work packages containing knock down components which are then assembled in the tradi-tional boatyards. The work packages are planned and designed so that every component can be assembled with relatively simple tools. Radical changes can be avoided as new techniques can be introduced gradually, responding to the boatyard\\`s own requirements and aspirations. While this manufacturing procedure is conceptually straightforward its efficient implemen-tation is in practice complicated by the fact that each traditional boatyard has unique char-acteristics in terms of labour resources, technological capability, and transportation links. By developing a computer model to simulate the interaction between the main shipyard and small traditional a computer model to simulate the interaction between the main shipyard and small traditional boatyards work packages can be designed that ensure that activities at all manufacturing locations are efficient.

• Journal of Technology Innovation
• /
• v.28 no.4
• /
• pp.63-93
• /
• 2020

We suggest a new way of specifying the co-evolution of product and process technologies, and integrating it into one of the well-received technology intelligence tools - a technology radar. Cross impact analysis enables us to identify the core technologies of product-process co-evolution. Combining expert judgment with its results, we can clarify the technological co-evolution trajectory with mainstream as well as emerging core technologies. Reflecting these in the assessment process of a technology radar, we could improve reliance of the technology assessment process and technology portfolio. From the academic perspective, our research provides a point where the co-evolution theory encouners technology intelligence methods. Practically, strategic capability of future-preparedness and strategic management could improve by adopting our method based on our example of co-evolution of semiconductor product and process technologies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.128-130
• /
• 2016

The digital content industry is growing rapidly with the popularity of online content and mobile devices. This study estimates the technical efficiency of the online digital content industry, and identifies factors that could be causing inefficiency. Unlike most previous studies, which adopted input-oriented or output-oriented DEA model, this study employs non-oriented DEA model in order to deal with both input surpluses and output shortfalls. The input variables for the empirical analysis are number of companies and number of workers. The total sales is used as the output variables. The empirical results show that the technical efficiency of the online digital content industry is relatively low mainly due to the scale efficiency rather than the pure technical efficiency. This implies that industry-specific policies should be implemented in order to improve technical efficiency as well as to strengthen technological innovation capability. Therefore, it is expected that the results obtained in this study can be used as a good reference for helping the online digital content industry enhance their competitiveness.

• Journal of Aerospace System Engineering
• /
• v.15 no.1
• /
• pp.56-62
• /
• 2021

The purpose of this study was to address a Remote Airborne Control Simulator that could simulate manned-unmanned teaming (MUM-T mission) for fixed wing UAV. With rapid technological development of unmanned aerial vehicle (UAV), the mission capability of UAV has tremendously grown. The role of UAV extends from simple reconnaissance to highly automated wingman. Accordingly, the requirement of UAV ground simulator should be modified as well to meet function requirements for simulating a MUM-T mission. A developed remote airborne control simulator was developed for conducting fixed wing UAV MUM-T operation simulations on the ground. The newest MUM-T examples, usage, and application of the developed remote airborne control simulator for MUM-T simulation are also presented in this study.

• Knowledge Management Research
• /
• v.22 no.1
• /
• pp.121-138
• /
• 2021

In the rapidly changing business environment, the intention to start a new business is strengthening. In this study, in order to confirm the effect on the entrepreneurial intention, the relationship and the effect among technical capability, and job satisfaction, and entrepreneurship, which are the second order factor consisting of risk taking, desire for achievement, and innovativeness, on entrepreneurial intention were analyzed to identify the effect of business intentions from the perspective of knowledge management.. To this end, the proposed research model was statistically verified using the Partial Least Square Structural Equation Model. Under analysis, survey data were collected online for 280 employees currently in the workplace, and the research model was empirically analyzed through the structural equation model. As a result of the analysis, it was confirmed that all the suggested variables had a significant effect on the entrepreneurial intention, and that job satisfaction had a negative moderating effect on entrepreneurial intention by interacting with entrepreneurship. The results of this study are expected to provide practical and theoretical implications from a knowledge management perspective.

• Smart Structures and Systems
• /
• v.29 no.1
• /
• pp.77-91
• /
• 2022

Various monitoring systems have been implemented in civil infrastructure to ensure structural safety and integrity. In long-term monitoring, these systems generate a large amount of data, where anomalies are not unusual and can pose unique challenges for structural health monitoring applications, such as system identification and damage detection. Therefore, developing efficient techniques is quite essential to recognize the anomalies in monitoring data. In this study, several machine learning techniques are explored and implemented to detect and classify various types of data anomalies. A field dataset, which consists of one month long acceleration data obtained from a long-span cable-stayed bridge in China, is employed to examine the machine learning techniques for automated data anomaly detection. These techniques include the statistic-based pattern recognition network, spectrogram-based convolutional neural network, image-based time history convolutional neural network, image-based time-frequency hybrid convolution neural network (GoogLeNet), and proposed ensemble neural network model. The ensemble model deliberately combines different machine learning models to enhance anomaly classification performance. The results show that all these techniques can successfully detect and classify six types of data anomalies (i.e., missing, minor, outlier, square, trend, drift). Moreover, both image-based time history convolutional neural network and GoogLeNet are further investigated for the capability of autonomous online anomaly classification and found to effectively classify anomalies with decent performance. As seen in comparison with accuracy, the proposed ensemble neural network model outperforms the other three machine learning techniques. This study also evaluates the proposed ensemble neural network model to a blind test dataset. As found in the results, this ensemble model is effective for data anomaly detection and applicable for the signal characteristics changing over time.

• Korea Trade Review
• /
• v.42 no.2
• /
• pp.175-203
• /
• 2017

This study examined the casual relationships among SMEs' market orientation, brand orientation, firm capabilities-technology and marketing capabilities, competitive advantage and financial performance in export markets based on the resource-based view. The data were collected from 286 cases of exporting SMEs. The results of path analysis indicated that market orientation of exporting SMEs increased technology and marketing capabilities. Market orientation directly increased both competitive advantage and financial performance in export markets. Brand orientation influenced technological capability and had indirect effects on both competitive advantage and financial performance through the firm capabilities. Based on the results, managerial implications and future research directions for exporting SMEs were provided.

• Smart Structures and Systems
• /
• v.32 no.1
• /
• pp.23-35
• /
• 2023

Steel bolted joint is an important part of steel structure, and its damage directly affects the bearing capacity and durability of steel structure. Currently, the existing research mainly focuses on the identification of corroded bolts and corroded bolts respectively, and there are few studies on multiple states. A detection framework of corroded and loosened bolts is proposed in this study, and the innovations can be summarized as follows: (i) Vision Transformer (ViT) is introduced to replace the third and fourth C3 module of you-only-look-once version 5s (YOLOv5s) algorithm, which increases the attention weights of feature channels and the feature extraction capability. (ii) Three states of the steel bolts are considered, including corroded bolt, bolt missing and clean bolt. (iii) Line segment detector (LSD) is introduced for bolt rotation angle calculation, which realizes bolt looseness detection. The improved YOLOv5s model was validated on the dataset, and the mean average precision (mAP) was increased from 0.902 to 0.952. In terms of a lab-scale joint, the performance of the LSD algorithm and the Hough transform was compared from different perspective angles. The error value of bolt loosening angle of the LSD algorithm is controlled within 1.09%, less than 8.91% of the Hough transform. Furthermore, the proposed framework was applied to fullscale joints of a steel bridge in China. Synthetic images of loosened bolts were successfully identified and the multiple states were well detected. Therefore, the proposed framework can be alternative of monitoring steel bolted joints for management department.

• Industry Promotion Research
• /
• v.8 no.1
• /
• pp.69-82
• /
• 2023

This study verified the effect of R&D capabilities and resource allocation capabilities on technology commercialization capabilities and the effect of technology commercialization capabilities on product performance. The effect of technology commercialization capability was verified by using commercialization speed, market scope, and technology breadth as variables. A survey was conducted for employees of SMEs companies, and the model and hypotheses of the study were verified using SPSS 25 and Smart PLS 3.0. It was confirmed that R&D capabilities and resource allocation capabilities had a significant effect on technology commercialization capabilities, and technology commercialization capabilities had a significant effect on the company's product performance. Through the results of this study, strengthening a company's R&D capabilities and resource distribution capabilities from a resource-based perspective expands technology commercialization capabilities such as commercialization speed, market scope, and technology breadth, and strengthening technology commercialization capabilities affects product performance of a company. It is meaningful in providing implications for the commercialization performance of companies by revealing the impact.