• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.372-372
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• 2000

In this paper, we propose Neuro Fuzzy Polynomial Networks(NFPN) based on Polynomial Neural Network(PNN) and Neuro-Fuzzy(NF) for model identification of complex and nonlinear systems. The proposed NFPN is generated from the mutually combined structure of both NF and PNN. The one and the other are considered as the premise part and consequence part of NFPN structure respectively. As the premise part of NFPN, NF uses both the simplified fuzzy inference as fuzzy inference method and error back-propagation algorithm as learning rule. The parameters such as parameters of membership functions, learning rates and momentum coefficients are adjusted using genetic algorithms. As the consequence part of NFPN, PNN is based on Group Method of Data Handling(GMDH) method and its structure is similar to Neural Networks. But the structure of PNN is not fixed like in conventional Neural Networks and self-organizing networks that can be generated. NFPN is available effectively for multi-input variables and high-order polynomial according to the combination of NF with PNN. Accordingly it is possible to consider the nonlinearity characteristics of process and to get better output performance with superb predictive ability. In order to evaluate the performance of proposed models, we use the nonlinear function. The results show that the proposed FPNN can produce the model with higher accuracy and more robustness than any other method presented previously.

• Journal of the Korean Society for Precision Engineering
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• v.9 no.4
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• pp.22-35
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• 1992

In highly automated machining centers, intelligent sensor fddeback systems are indispensable on order to monitor their operations, to ensure efficient metal removal, and to initate remedial action in the event of accident. In this study, an on-line tool wear detection system for thrning operations is developed, and experimentally evaluated. The system employs multiple sensors and the signals from these sensors are processed using a multichannel autoegressive (AR) series model. The resulting output from the signal processing block is then fed to a previously tranied artificial neural network (multiayered perceptron) to make a final decision on the state of the cutting tool. To learn the necessary input/output mapping for tool wear detection, the weithts and thresholds of the network are adjusted according to the back propagation (BP) method during off-line training. The results of experimental evaluation show that the system works well over a wide range of cutting conditions, and the ability of the system to detect tool wear is improved due to the generalization, fault-tolearant and self-ofganizing properties of the neural network.

• Proceedings of the KIEE Conference
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• 1998.07b
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• pp.740-743
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• 1998

This paper presents an optimization algorithm for a stable Dynamic Neural Network (DNN) using genetic algorithm. Optimized DNN is applied to a problem of controlling nonlinear dynamical systems. DNN is dynamic mapping and is better suited for dynamical systems than static forward neural network. The real time implementation is very important, and thus the neuro controller also needs to be designed such that it converges with a relatively small number of training cycles. SDNN has considerably fewer weights than DNN. The object of proposed algorithm is to the number of self dynamic neuron node and the gradient of activation functions are simultaneously optimized by genetic algorithms. To guarantee convergence, an analytic method based on the Lyapunov function is used to find a stable learning for the SDNN. The ability and effectiveness of identifying and controlling, a nonlinear dynamic system using the proposed optimized SDNN considering stability' is demonstrated by case studies.

• Journal of the Korea Safety Management & Science
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• v.11 no.1
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• pp.7-14
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• 2009

Protecting an infant from a risk of accident was an absolute responsibility and duty of parents in the past. As increase in the ratio of entering kindergartens, the demand of all day program also increases. In infancy, safety concerns are higher than other periods since infants are curious about objects and environments and that have stronger impulse of the spirit of inquiry. Since baby's functioning is poor, an ability of balance maintenance and an exercise function are not sufficiently developed. Further more, they lack a cognitive power about self-control or situation. According to Korea Consumer Agency, safety accidents in infant institution have increased in 115% as 294 cases compared with 137 cases in 2004. Major causes of infant deaths are street accidents, drowning, and deaths from a fall in order. Considering this situation, we need to prevent and deal with accidents. Therefore this thesis grasp the situation and analyze an actual condition of an safety education about teachers who work in such institutions and infants who are educated in institutions to prevent from accidents and make up pleasant environments. Then, it will suggest all efficient safety education plans for infants to them.

• Journal of Korean Academy of Nursing Administration
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• v.9 no.3
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• pp.481-494
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• 2003

Purpose: This study was to develop nursing competencies, sub-competencies and behavior indicators according to the clinical ladder of emergency nurses. Method: index of content validation was used by 21 clinical experts. Results: This study had three phases to develop nursing competencies, sub-competencies and behavior indicators. In first phase: 12 nursing competencies and 33 sub-competencies were developed through the literature review on nursing competency and emergency nurses' job description. The content of 12 competencies and 33 sub-competencies were reviewed by 3 nursing professors. The 12 competencies and 33 sub-competencies were followed: clinical judgement and measures(6 sub-competencies), processing ability of ward works(2 sub-competencies), flexibility(2 sub-competencies), resources management(2 sub-competencies), confidence(3 sub-competencies), cooperation(2 sub-competencies), professional development power(2 sub-competencies), patient service orientation(3 sub-competencies), inclination toward ethical value(5 sub-competencies), influence power(2 sub-competencies), developing others(2 sub-competencies), self control(2 sub-competencies). In second phase, 132 behavior indicators were developed according to nurse clinical ladder: novice, advanced novice, competent, proficient. In Third phase, content validity was examined on 132 behavior indicators by 21 clinical experts. 126 among 132 indicators had over 70% agreement among experts and 6 indicators under 70% were revised. Conclusion: nursing competencies, sub competencies and behavior indicators can be used nurses' clinical performance as well as establishing proper directions for professional growth related to reward system.

• Journal of Families and Better Life
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• v.31 no.3
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• pp.49-62
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• 2013

The purpose of this study was to investigate the emotional ability between abused children and general children by comparing their emotional intelligence and emotional control. Participants were 17 abused children who had been separated from their abusers and 17 general children, all elementary school students. The answers to the questionnaire items on emotional intelligence and situations of emotional motivation were analyzed by Mann-Whitney U as a study tool. The results of this study were as follows: First, the difference of emotional intelligence between abused children and general children was statistically significant. Abused children received lower scores than general children when it came to their emotional recognition, emotional expression, empathy, and emotional regulation as a subordinate scope of emotional intelligence. Second, the difference of emotional regulation strategy between abused children and general children was statistically significant. Abused children presented negative responses and less frequently used positive strategy, inhibitory avoidance strategy and alternative strategy than general children. Third, the difference of emotional regulation motivation between abused children and general children was statistically significant. Abused children presented less prosocial motivation, motivation of self-preservation and normative motivation than general children.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.1-11
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• 2013

The adult guardianship system took effect from July 2013, to protect adults who need protection due to insufficient ability to judge. Even though many problems are founded in countries like France and Japan which perform Adult guardianship system, they are promoting practical settlement of system and protection of the adults requiring protection through continuous supplementation of system. It is essential to solve cost problem for successful establishment of adult guardianship system because reasonable control of social security expenditure, in an aging society, is a common task for all countries. Therefore, in this study, cost problem occurred in the enforcement of adult guardianship system is to be examined and through these findings, several strategies were suggested to solve it in Korea.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.08a
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• pp.65-65
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• 2010

Extreme ultraviolet lithography (EUVL) is expected to be applied for making patterns below 32 nm in device industry. An ultrathin EUV photoresist (PR) of a few nm in thickness is required to reduce minimum feature size further. Here, we show that pentacene molecular layers can be employed as a new EUV resist for the first time. Dots and lines in nm scale are successfully realized using the new molecular resist. We clearly provide the mechanism for forming the nanopatterns with scanning photoemission microscope (SPEM), EUV interference lithography (EUV-IL), atomic force microscope (AFM), photoemission spectroscopy (PES), etc. The molecular PR has several advantages over traditional polymer EUV PRs; for example, high thermal/chemical stability, negligible outgassing, ability to control the height and width on the nanometer scale, leaving fewer residuals, no need for a chemical development process and thus reduction of chemical waste to make the nanopatterns. Besides, it could be applied to any substrate to which pentacene bonds chemically, such as $SiO_2$, SiN, and SiON, which is of importance in the device industry.

• Journal of Powder Materials
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• v.29 no.1
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• pp.56-62
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• 2022

Atomic layer deposition (ALD) is a promising technology for the uniform deposition of thin films. ALD is based on a self-limiting mechanism, which can effectively deposit thin films on the surfaces of powders of various sizes. Numerous studies are underway to improve the performance of thermoelectric materials by forming core-shell structures in which various materials are deposited on the powder surface using ALD. Thermoelectric materials are especially relevant as clean energy storage materials due to their ability to interconvert between thermal and electrical energy by the Seebeck and Peltier effects. Herein, we introduce a surface and interface modification strategy based on ALD to control the performance of thermoelectric materials. We also discuss the properties of the interface between various deposition materials and thermoelectric materials.

• Advances in Computational Design
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• v.7 no.3
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• pp.189-210
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• 2022

Deployable structures have the ability to shift from a compact state to an expanded functional configuration. By extension, reconfigurability is another function that relies on embedded computation and actuators. Linkage-based mechanisms constitute promising systems in the development of deployable and reconfigurable structures with high flexibility and controllability. The present paper investigates the deployment and reconfigurability of modular linkage structures with a pin and a sliding support, the latter connected to a linear motion actuator. An appropriate control sequence consists of stepwise reconfigurations that involve the selective releasing of one intermediate joint in each closed-loop linkage, effectively reducing it to a 1-DOF "effective crank-slider" mechanism. This approach enables low self-weight and reduced energy consumption. A kinematics and finite-element analysis of different linkage systems, in all intermediate reconfiguration steps of a sequence, have been conducted for different lengths and geometrical characteristics of the members, as well as different actuation methods, i.e., direct and cable-driven actuation. The study provides insight into the impact of various structural typological and geometrical factors on the systems' behavior.