• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.2
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• pp.534-540
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• 1996

This paper presents an Adaptive Time-Delay Recurrent Neural Network (ATRN) for learning and recognition of temporal correlations of temporal patterns. The ATRN employs adaptive time-delays and recurrent connections, which are inspired from neurobiology. In the ATRN, the adaptive time-delays make the ATRN choose the optimal values of time-delays for the temporal location of the important information in the input parrerns, and the recurrent connections enable the network to encode and integrate temporal information of sequences which have arbitrary interval time and arbitrary length of temporal context. The ATRN described in this paper, ATNN proposed by Lin, and TDNN introduced by Waibel were simulated and applied to the chaotic time series preditcion of Mackey-Glass delay-differential equation. The simulation results show that the normalized mean square error (NMSE) of ATRN is 0.0026, while the NMSE values of ATNN and TDNN are 0.014, 0.0117, respectively, and in temporal learning, employing recurrent links in the network is more effective than putting multiple time-delays into the neurons. The best performance is attained bythe ATRN. This ATRN will be sell applicable for temporally continuous domains, such as speech recognition, moving object recognition, motor control, and time-series prediction.

• Wind and Structures
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• v.7 no.2
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• pp.107-130
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• 2004

This paper presents a time-domain approach for analyzing nonlinear random vibrations of long-span suspended cables under transversal wind. A consistent continuous model of the cable, fully accounting for geometrical nonlinearities inherent in cable behavior, is adopted. The effects of spatial correlation are properly included by modeling wind velocity fluctuation as a random function of time and of a single spatial variable ranging over cable span, namely as a one-variate bi-dimensional (1V-2D) random field. Within the context of a Galerkin's discretization of the equations governing cable motion, a very efficient Monte Carlo-based technique for second-order analysis of the response is proposed. This procedure starts by generating sample functions of the generalized aerodynamic loads by using the spectral decomposition of the cross-power spectral density function of wind turbulence field. Relying on the physical meaning of both the spectral properties of wind velocity fluctuation and the mode shapes of the vibrating cable, the computational efficiency is greatly enhanced by applying a truncation procedure according to which just the first few significant loading and structural modal contributions are retained.

• Structural Engineering and Mechanics
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• v.43 no.5
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• pp.679-690
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• 2012

A new concept sea-floating port called mobile harbor has been introduced, in order to resolve the limitation of current above-ground port facilities against the continuous growth of worldwide marine transportation. One of important subjects in the design of a mobile harbor is to secure the dynamic stability against wave-induced excitation, because a relatively large-scale heavy crane system installed at the top of mobile harbor should load/unload containers at sea under the sea state up to level 3. In this context, this paper addresses a two-step sequential analytical-numerical method for analyzing the structural dynamic response of the mobile harbor crane system to the wave-induced rolling excitation. The rigid ship motion of mobile harbor by wave is analytically solved, and the flexible dynamic response of the crane system by the rigid ship motion is analyzed by the finite element method. The hydrodynamic effect between sea water and mobile harbor is reflected by means of the added moment of inertia.

• International Journal of Contents
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• v.7 no.2
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• pp.36-41
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• 2011

This paper has investigated the effects of employees' organizational cynicism on their organizational commitment and pro-union behavioral intentions in the context of repetitively implementing business innovation program. The cynical responses about the business innovation program & projects have been classified into four categories; Exit, Voice, Loyalty and Neglect. The research samples have been drawn from managers and office employees at four business sites of conglomerates in Korea. According to the analysis, business innovation program which is continuous and repetitive has made managers and office employees have highly cynical attitudes. In turn, the organizational cynicism has accelerated their Exit and Neglect responses, but shrunk Voice and Loyalty responses. As a result, it has been confirmed that the organizational cynicism has a direct effect on organizational commitment and pro-union behavioral intentions. In addition, it has been concluded that Exit and Neglect had a negative effect on organizational commitment but a positive effect on pro-union behavioral intentions. Even though Voice and Loyalty had a positive effect on organizational commitment, they had no significant effect on pro-union behavioral intentions. Furthermore, no mediating effect has been detected. Implications and suggestions for future research were then discussed.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.99-106
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• 2020

CEOs Overconfidence can bring potentially risky early decisions to businesses, along with large enterprise free cash flow that can bring different investment decisions with CEOs Overconfidence. Especially in the context of Vietnamese enterprises, CEOs are often influenced by behavioral psychology about overconfidence in investment decisions (due to individual cultural characteristics as well as operating financial markets also depend on many factors outside the market). Therefore, the authors study the impact of overconfidence and cash flow on investment in Vietnamese to find the internal relationship between these three factors in the financial environment in Vietnam. With 480 companies listed on the Vietnam Stock Exchange from 2014 to 2018 (companies have continuous reports), the regression analysis results with panel data (FEM, GLS models, correction of robust and GMM dealing with endogenous problems) have shown Overconfidence has a positive impact on investment. At the same time, the results also indicated that enterprises with overconfident CEOs and large cash flows tend to invest less than enterprises with low cash flow. The results of this study have shown the behavioral behavior of CEOs in Vietnamese enterprises that exist under both prospect theory and effective market theory.

• Smart Structures and Systems
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• v.15 no.3
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• pp.593-608
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• 2015

In many of the industrialized countries an increasing amount of infrastructure is ageing. This has become specifically critical to bridges which are a major asset with respect to keeping an economy alive. Life of this infrastructure is scattering but often little quantifiable information is known with respect to its damage condition. This article describes how a damage tolerance approach used in aviation today may even be applied to civil infrastructure in the sense that operational life can be applied in the context of modern life cycle management. This can be applied for steel structures as a complete process where much of the damage accumulation behavior is known and may even be adopted to concrete structures in principle, where much of the missing knowledge in damage accumulation has to be substituted by enhanced inspection. This enhanced and continuous inspection can be achieved through robotic systems in a first approach as well as built in sensors in the sense of structural health monitoring (SHM).

• Journal of Digital Convergence
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• v.9 no.3
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• pp.181-190
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• 2011

Smart Learning has been spreaded rapidly to the education and industry fields. Especially, Smart Learning of the university and Smart Campus are the focus of attention of the knowledge based age, because university education play a core role for lifetime education and has largest ripple effect. This article is exploring on the concept and realization conditions of 'Smart Campus'. We think, Smart Campus is an alternative solution for the continuous development of university education in the smart time. In this context, this paper will review the prior studies of Smart Learning, U-Learning and Smart Campus, and study the concept and realization conditions of 'Smart Campus'.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.2
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• pp.215-233
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• 2015

Despite the continuous efforts of academic libraries to develop various user-centered outreach programs, services and new processes, library anxiety still remains a threat to university students' full use of academic library resources. Meanwhile, a new generation of students, called the "Net Generation," has grown up with developed information and communication technology enter university and must be persuaded to turn to the library. To serve this new group of patrons better, libraries need to adopt new technologies. However, since an initial introduction cost and labor efforts are involved in the integration of the technology, identifying the right time for introduction and the right scope of innovation is essential but difficult. The study proposes a not-yet-well-known, novel experimental design, Regression Point Displacement (RPD), to evaluate an orientation program applying Mobile Augmented Reality (MAR) for STEM students. Since this RPD design requires only one treatment group, the model is expected to be the incomparable and rational way to evaluate the new MAR technology. In the context of an informal learning experience, the findings of the study will determine the effectiveness of an orientation employing the MAR technology.

• The KIPS Transactions:PartD
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• v.15D no.1
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• pp.23-30
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• 2008

The basic research of context aware in ubiquitous environment is an internet technique and XML. The XML data of continuous stream type are popular in network application through the internet. And also there are researches related to query processing for streaming XML data. As a basic research to efficiently query, we propose not only a labeled ordered tree model representing the XML but also a mining method to extract frequent structures from streaming XML data. That is, XML data to continuously be input are modeled by a stream tree which is called by XFP_tree and we exactly extract the frequent structures from the XFP_tree of current window to mine recent data. The proposed method can be applied to the basis of the query processing and index method for XML stream data.

• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.615-624
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• 2002

The concept of a hyperpresentation, as an extension of a hypermedia, is the presentation in which time-varying multimedia presentations are dynamically linked together and a hyperlink's context can be changed over time at any time during a continuous presentation. While this concept provides users with a flexible and powerful tool for their descriptions of the multimedia presentation, inconsistency problems in the synchronized presentations connected by hyper links can be introduced. This paper introduces a method of describing the hyperpresentation using Petri Net and proposes a methods of detecting inconsistent hyper link loop in the hyperpresentation description.