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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.
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.
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.
In this study, we propose a novel method for modeling dynamic hysteresis. Hysteresis is a widespread phenomenon that is observed in many physical systems. Many different models have been developed for representing a hysteretic system. Among them, the Duhem model is a classical nonlinear dynamic hysteresis model satisfying the properties of hysteresis. The purpose of this work is to develop a novel method that expresses the local dynamics of the Duhem model by a linear system model. Our approach utilizes a certain type of fuzzy system that is based on Takagi-Sugeno (T-S) fuzzy models. The proposed T-S fuzzy Duhem model is achieved by fuzzy blending of the linear system model. A simulated example applied to shape memory alloy actuators, which have typical hysteretic properties, illustrates the applicability of our proposed scheme.
This paper describes a system for human-robot interaction which is one of the biggest issues recently. We approach the interaction using sound source localization, mapping data and voice recognition. The aim of the system for human-robot interaction is that the robot finds a person speaking in an area and goes to the speaker while the robot avoids obstacles using mapping data obtained before. In addition, the system can get an order such as going to a place through a simple conversation with a person.
This paper assesses the impact of globalization on Exchange-Rate Pass-Through into import prices in three core eurozone countries characterized by different degrees of openness. We looked at various indicators of globalization and used data since 1983 to find evidence of a generalized link between globalization and Exchange-Rate Pass-Through. In particular, factors related to trade integration, such as an increase in the import penetration rate or lower trade tariffs, reduce the degree of Exchange-Rate Pass-Through. However, the rising prominence of China in European imports does not contribute to the decline in pass-through. Overall, our findings show that while Exchange-Rate Pass-Through is incomplete, it remains significant even when controlling for the effects of trade globalization.