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Microbial respiration-based detection of enrofloxacin in milk using capillary-tube indicators
Lee, Hyeonjeong,Lee, Sanghee,Kwon, Donghoon,Yim, Changyong,Jeon, Sangmin Elsevier Sequoia 2017 Sensors and actuators. B Chemical Vol.244 No.-
<P><B>Abstract</B></P> <P>A simple method was developed for detecting enrofloxacin in milk using microbial respiration and capillary-tube indicators. A glass vial containing <I>E. coli</I> ATCC 11303 in LB was spiked with enrofloxacin and sealed with a screw cap supporting a silicon septum. A capillary tube with a drop of ink was inserted through the septum, and the ink-level change was measured. The growth of <I>E. coli</I> produced CO<SUB>2</SUB> gas, which increased the pressure inside the vial and raised the ink level in the capillary tube; in this manner, small changes in the gas volume were translated into large changes in the ink level. The increase in the ink level was inversely proportional to the concentration of enrofloxacin, which suppressed the growth of <I>E. coli</I>. The detection limit of enrofloxacin was found to be 10ng/mL using the naked eye after the microbial culture had been permitted to grow over 2h.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A facile method was developed for the detection of enrofloxacin in milk using capillary tubes. </LI> <LI> Microbial growth produced CO<SUB>2</SUB> gas, which raised the ink level in the capillary tube. </LI> <LI> Capillary tubes translated small change in gas volume to large change in ink level. </LI> <LI> The ink level was inversely proportional to the concentration of enrofloxacin. </LI> <LI> The detection limit of enrofloxacin was found to be 10ng/mL after 2h. </LI> </UL> </P>
Lee, Changyong,Kwon, Daeil Elsevier 2018 Microelectronics and reliability Vol.83 No.-
<P>This paper demonstrates a prognostic approach for predicting remaining lifetime of solder joints in real-time. During stress testing, impedance has been reported to respond to early stages of solder joint degradation in the form of non-linear increases. These early responses were trended using support vector machine and compared with real-time impedance measurements for solder joint remaining life prediction. To evaluate the prediction performance, the impedance of a degrading solder joint was collected during mechanical fatigue testing, and the proposed approach was applied in real-time. During fatigue testing, the proposed approach successfully predicted solder joint failures over multiple trials. These results imply this prognostic approach can be an effective means for real-time health management of electronics and can be applied to systems whose performance variable demonstrates gradual changes prior to their end of life.</P>
A sequential pattern mining approach to identifying potential areas for business diversification
Lee Gyumin,Kim Daejin,Lee Changyong 기술경영경제학회 2020 ASIAN JOURNAL OF TECHNOLOGY INNOVATION Vol.28 No.1
Although many quantitative models have been presented to identify potential areas for business diversification, most have focused on the assessment of technological capabilities and/or similarities using patent information. New data sources and scientific methods have thus seldom been addressed. We propose a sequential pattern mining approach to identifying potential areas for business diversification using the historical business segment data. Our approach includes (1) sequential pattern mining to identify potential areas for business diversification by extracting the significant changing patterns of firms’ business segments; and (2) index analysis to assess the market and financial characteristics of the areas identified. Taken together, three diversification strategy maps are developed to provide comprehensive views of analysis results. An empirical analysis of 25,126 unique firms with 1320 business segments confirms that the proposed approach enables a wide-ranging search for potential areas for business diversification and the quick assessment of their characteristics.
Lee, Changyong,Jeon, Jeonghwan,Park, Yongtae Elsevier 2011 TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE Vol.78 No.4
<P><B>Abstract</B></P><P>The strategic importance of monitoring technological changes is highlighted given the ever faster pace and increasing complexity of technological innovation. In this respect, patent citation analysis has been the most frequently adopted tool among others. However, patent citation analysis is subject to certain drawbacks that stem from only consideration of citing-cited information and time lags between citing and cited patents. This study proposes a formal concept analysis (FCA)-based approach to developing a dynamic patent lattice that can analyze complex relations among patents and monitor trends of technological changes. The FCA is a mathematical tool for grouping objects with shared properties based on the lattice theory. The distinct strengths of FCA, <I>vis-á-vis</I> other methods, lie in structuring and displaying the relations among objects from a massive amount of data. For the purpose of technology monitoring, the FCA is modified to take into account time periods and changes of patent keywords. A patent context is first constructed with the aid of domain experts and text mining technique. Two types of dynamic patent lattices are then developed by executing the modified FCA algorithm. A case study of laser technology in lithography for semiconductor manufacturing shows that the suggested dynamic patent lattice has considerable advantages over conventional patent citation maps in terms of visualization and informative power.</P> <P><B>Research Highlights</B></P><P>► Proposing a systematic approach to monitoring trends of technological changes. ► Developing dynamic patent lattice to visualize relationships among patents over time. ► Verifying advantages of our method in terms of visualization and explanatory power.</P>