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Golding, Brian,Acutis, Pier Luigi,Peletto, Simone,Grego, Elena,Colussi, Silvia,Riina, Maria Vittoria,Rosati, Sergio,Mignone, Walter,Caramelli, Maria Canadian Science Publishing 2008 Genome Vol.51 No.12
<P> A reminder that another paper on the cetacean PRNP locus has been published before Kim et al.’s paper (2008. Genome, 51: 452-464) is presented along with a consideration of the related results. </P>
( Mignon Lee ),( Kyu Yon Llm ) 한국교육공학회 2020 Educational Technology International Vol.21 No.1
The purpose of this research is to analyze the predictive powers of the five technostress creators - techno-overload, techno-invasion, techno-complexity, techno-insecurity, and techno-uncertainty - in job satisfaction and teacher efficacy of primary school teachers in Korea when they incorporated mobile technology into teaching. A questionnaire was designed to measure the level of teacher’s stress from technology, job satisfaction and teacher efficacy. Data were collected from 164 teachers. Multiple regression analysis was conducted to explain which area of technostress led to varying degrees of job satisfaction and teacher efficacy. The results showed that techno-complexity alone predicted both job satisfaction and teacher efficacy. The reason why techno-complexity was the only predictor is that teachers would have first needed to understand how to incorporate mobile technology into teaching, before feeling overloaded, invaded, insecure, or uncertain about it, meaning techno-complexity precedes other constructs. Therefore, the only stress factor that affected them was how to understand the complexity of mobile technology. This calls for adequate training and support from schools and governments in order for the teachers to fully incorporate technology into teaching.
Robust Fuzzy Feedback Linearization Control Based on Takagi-Sugeno Fuzzy Models
박창우,Mignon Park 제어·로봇·시스템학회 2002 International Journal of Control, Automation, and Vol.4 No.4
In this paper, well-known Takagi-Sugeno fuzzy model is used as the nonlinear plant model and uncertainty is assumed to be included in the model structure with known bounds. Based on the fuzzy models, a numerical robust stability analysis for the fuzzy feedback linearization regulator is presented using Linear Matrix Inequalities (LMI) Theory. For these structured uncertainty, the closed system can be cast into Lur'e system by simple transformation. From the LMI stability condition for Lur'e system, we can derive the robust stability condition for the fuzzy feedback linearization regulator based on Takagi-Sugeno fuzzy model. The effectiveness of the proposed analysis is illustrated by a simple example.
Park,Mignon 연세대학교 산업기술연구소 1988 논문집 Vol.20 No.2
In this paper, we describe a design of the sensor system using optical fiber. In recognition of an object, the image processing method using CCTV-Camera has been widely used. But a new method with real time and low cost is required only to recognize and classify elements simply in the industrial field. At this point of view, this paper shows a design of the sensor system. The light emitted from the light source is transmitted to an element through optical fiber and the intensity of the reflected light is detected at photo-sensor. It is analysed and processed by means of computer. Then we try to measure the distribution of 3-dimensional displacement of an element or a measurement part. By obtaining the linear normalized operator and weight of each measurement point, we can show that it is possible to recognize an object reliably and quantitatively.