• Journal of Technology Innovation
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• v.31 no.3
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• pp.75-110
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• 2023

This paper aims at discussing the evolution of innovation theory from the beginning of the last century to present. Innovation theory has begun by Joseph Schumpeter in the beginning of the last century and his theory had not attained much attention compared to the mainstream economic theory. In the 1960s, some neo-classical economists analyzed the effect of technological change on economic growth and emphasized the role of demand in innovation process. However, in the beginning of the 1970s, Schumpeter's innovation theory, which emphasized the role of innovation and entrepreneurship in economic and social development, attained enormous attention by many liberal economists. They were called neo-Schumpeterians as they followed the theories and ideas of Schumpeter. In the middle of the 1980s, neo-Schumpeterians identified the concept of national innovation system(NIS), which is the total mobilization system of innovation resources for generating, appropriating and diffusing technological innovations. Soon this theory diffused very quickly at regional and sectoral level. As a result, there have been very active empirical studies on innovation systems in the world. Since the beginning of the 2000s the transition study have been actively carried out mainly in European countries. This study emphasizes the transition of existing innovation systems into more sustainable ones. In Korea we need to activate transition study, because there have been only few studies in this new theory.

• Water for future
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• v.16 no.3
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• pp.142-147
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• 1983

• Water for future
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• v.16 no.4
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• pp.199-203
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• 1983

• Journal of Korean Society of Industrial and Systems Engineering
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• v.8 no.12
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• pp.13-25
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• 1985

• 제어로봇시스템학회:학술대회논문집
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• 1993.10b
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• pp.81-87
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• 1993

In this paper robust stability conditions are obtained for linear dynamical systems under structured nonlinear time-varying perturbations, using absolute stability theory and the concept of dissipative systems. The conditions are expressed in terms of solutions to linear matrix inequality(LMI). Based on this result, a synthesis methodology is developed for robust feedback controllers with worst-case H$_{2}$ perforrmance via convex optimization and LMI formulation.

• Journal of the Korean Institute of Intelligent Systems
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• v.2 no.2
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• pp.34-41
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• 1992

A robust and reliable learning and reasoning mechanism is addressed based upon fuzzy set theory and fuzzy associative memories. The mechanism stores a priori an initial knowledge base via approximate learning and utilizes this information for decision-making systems via fuzzy inferencing. We called this fuzzy computer architecture a 'fuzzy hypercube' processing all the rules in one clock period in parallel. Fuzzy hypercubes can be applied to control of a class of complex and highly nonlinear systems which suffer from vagueness uncertainty. Moreover, evidential aspects of a fuzzy hypercube are treated to assess the degree of certainty or reliability together with parameter sensitivity.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.128-133
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• 1998

This paper aims to present some ideas for implementation of Uncertain Relational Databases (URD) which are extensions of classical relational databases. Our system firstly is based on possibility distribution and probability theory to represent and manipulate fuzzy and probabilistic information, secondly adopts flexible mechanisms that allow the management of uncertain data through the resources provided by both available relational database management systems and front-end interfaces, and lastly chooses dynamic SQL to enhance versatility and adjustability of systems.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.6
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• pp.478-485
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• 2000

A discrete event systems (DES) is a physical system that is discrete in time and state space, asynchronous (event rather than clock-driven), and in some sense generative(or nondeterministic). This paper presents the design of fifteen modular supervisors to control an experimental CIM testbed. These supervisors are nonblocking, controllable and nonconflicting. After verification of the supervisors by simulation, the supervisors for AGV system have been implemented to demonstrate their efficacy.

• Journal of the Korean Institute of Intelligent Systems
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• v.4 no.2
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• pp.24-34
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• 1994

Scientific involvement in complex decision-making system, characterized by multicriteria phenomena and fuzziness inherent in the structure of information, requires suitable methods. Especially, when powerful dependent criteria are introduced and their weighted value structure is ignorant, the systems are become more complex. This paper presents a fuzzy dependenced relation model and fuzzy measure model for this kind of multicriteria decision-making. The model we propose is based on fuzzy relation and fuzzy measure in fuzzy systems theory. For the application of the model, a numdrical example is quoted.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.5
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• pp.333-338
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• 2000

This paper considers the decentralized control problem of linear time-invariant interconnected systems with delays. A decentralized output-feedback controller to obtain both stability and performance of the interconnected system is designed using the standard $H_\infty$ control theory, This paper provides sufficient conditions for such a controller to exist and provides an output feedback controller.