• Journal of Digital Convergence
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• v.9 no.6
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• pp.243-253
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• 2011

This paper aims to examine the moderate effects of Client's Organizational Character on the relationships between Consulting Service Quality and Business Performance. To accomplish these purposes, The questionaries of 192 were inspected to the CEO or PM having consulting experience at the companies in Daegu and kyoung-buk. First, Consulting Service Quality presented a meaningful result(+) with the Business Performance. Second, Consulting Service Quality have differential influence on Business Performance by Client' s Organizational Character.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.207-216
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• 2011

This paper is for the influence of consulting character how to affect on the word-of-mouth intention and repurchase. Consulting characters consist of expertise, reliability and application. The results of this study are as follows: Firstly, Application except expertise and reliability have a positive effect on word-of mouth intention influence. Secondly, expertise and application except reliability have a positive effect on repurchase intention influence. This study shows that the company marketing performance would be greatly improved by an application of consulting experience and an expertise of consulting need.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.3
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• pp.167-183
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• 2017

The objective of this paper is to investigate the effect of character traits of employees of consulting firm on job satisfaction through self-leadership and self-efficacy. The proposed model is based on big5 model of Coasta and McCrae(1992). To validate the proposed model, structural equation model is analyzed with the valid 140 questionnaires collected from Seoul and nearby cities by using Smart PLS 3.0. The results are as follows. First, extraversion has a positive effect on self-leadership, not on self-efficacy. Second, agreeableness has a positive effect on self-leadership, not on self-efficacy. Third, conscientiousness has a positive effect on both self-leadership and self-efficacy. Fourth, emotional stability does not have a positive effect on both self-leadership and self-efficacy. Fifth, openness to experience has a positive effect on both self-leadership and self-efficacy. Sixth, self-leadership has a positive effect on self-efficacy. Seventh, self-leadership has a positive effect on job satisfaction. Last, self-efficacy has a positive effect on job satisfaction. This research proves that, while the character of employees generally forms the meaningful relationship with self-leadership and self-efficacy, in some entries of Big 5 character elements it has still produced the different results with the previous researches, which betrays that the relationship between one's character and self-leadership and self-efficacy can differ according to the characteristic of jobs. It requires further study to prove how each of Big 5 elements differently effects on self-leadership and self-efficacy according to diverse characteristic of jobs.

• Smart Structures and Systems
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• v.15 no.3
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• pp.577-592
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• 2015

Damage quantification is a major goal of the SHM community. Methodologies to introduce a quantity for actual condition of a structure into the assessment process are desired. The idea that the condition of a structure is represented in the character of its dynamic response is fully accepted by the SHM community. The VCLIFE methodology quantifies condition analyzing input from monitoring.

• Journal of Platform Technology
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• v.6 no.1
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• pp.3-8
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• 2018

This paper proposes a technique for recognizing online handwritten cursive data obtained by tracing a motion trajectory while a user is in the 3D space based on a convolution neural network (CNN) algorithm. There is a difficulty in recognizing the virtual character input by the user in the 3D space because it includes both the character stroke and the movement stroke. In this paper, we divide syllable into consonant and vowel units by using labeling technique in addition to the result of localizing letter stroke and movement stroke in the previous study. The coordinate information of the separated consonants and vowels are converted into image data, and Korean handwriting recognition was performed using a convolutional neural network. After learning the neural network using 1,680 syllables written by five hand writers, the accuracy is calculated by using the new hand writers who did not participate in the writing of training data. The accuracy of phoneme-based recognition is 98.9% based on convolutional neural network. The proposed method has the advantage of drastically reducing learning data compared to syllable-based learning.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.3
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• pp.643-660
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• 2013

The numbers of learning underachievers in college are gradually increasing. As a result, the need for extracurricular programs to increase learning in college is also growing. The purpose of this study was to analyze factors of learning difficulty and develop a model of learning consulting for college underachievers. This study also aimed to evaluate this model's validity. Using both 56 subscription forms of college underachievers and three sets of focus group interviews at B university, we found that students had difficulties in goal and career setting, management of grades and tests, learning methods, time management, failure overcome ability, lack of learning habit sustaining power and learning motivation, and so on. We developed a model of learning consulting for college underachievers based on these factors and applied the model to evaluate it's validity, testing it on 31 underachievers currently enrolled in college, five times every week. Let we say in conclusion that this model of learning consulting had positive effects on changing college underachiever's character, emotion, motivation, and behavior towards learning.

• Spatial Information Research
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• v.12 no.1
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• pp.57-71
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• 2004

In this study about construction of land consulting information system the system is constructed for the support be rapidly and efficiently of decision making information. Supporting decision making is be sure need when build in land or change form and character of land, that kind of variety land law, conditions of buying land location, distribution of land answering to the development purpose and buying and selling or lease of land. So that land consulting information system can be query, search, identity and analysis for the decision making elements using the computer. The system an another name ALGOSA far the improved extent of legal in ability of system. Like this where spread of system is by company as well as private person, it's company kinds of real estate business, survey and civil designer's office, architectural designer's office and professional1y land development company of great many all over the country.

• Journal of Korea Game Society
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• v.7 no.2
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• pp.101-112
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• 2007

Along with the development of mobile technology, mobile game has undergone a change from downloadable game to network game, where a large number of users connect to server and play real-time game with a mobile phone. In order to develop these mobile network games economically, a proper, suitable game engine is needed. This study proposes the result of design and implementation of RWMMO-GE(Realtime Wireless Massively Multiplayer Online RPG Game Engine) that is used to develop a mobile network game. The structure of RWMMO-GE, which is the research result of this study, consists of major components such as Network/Client Module, Object Module, Map Tool, Script Editor, and Character Editor. The characteristics of the multiplayer mobile game developed by this engine is that a large number of players can play real-time game in a single map, which implies a possibility of a new business model in this area. This research is a result of the RWMMO-GE supported by 2006 IT Excellent Technology Support Project(No:A1300-0601-0125) of IITA(Institute Information Technology Advancement).

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.969-981
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• 2018

Recent advances in machine learning approaches such as deep neural network and reinforcement learning offer significant performance improvements in generating detailed and varied motions in physically simulated virtual environments. The optimization methods are highly attractive because it allows for less understanding of underlying physics or mechanisms even for high-dimensional subtle control problems. In this paper, we propose an efficient learning method for stochastic policy represented as deep neural networks so that agent can generate various energetic motions adaptively to the changes of tasks and states without losing interactivity and robustness. This strategy could be realized by our novel trajectory search method motivated by the trust region policy optimization method. Our value-based trajectory smoothing technique finds stably learnable trajectories without consulting neural network responses directly. This policy is set as a trust region of the artificial neural network, so that it can learn the desired motion quickly.

• Proceedings of the Korean Professional Engineer Association Conference
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• 1987.12a
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• pp.72-76
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• 1987

I would like to propose the initiation of co-operating research about $\ulcornerIndustrial$ structure between Japan and $Korea\lrcorner.$ The purpose of this investigation is to study about appropriate system of industrial structure Japan and Korea including interactive relation. In future, tile interactive relationship of industrial structure should be desided by the investigation of a characterization about alocality, a racial character, a existence of resources, a weather, a history and natural features of a region. According to these investigation, frictionless structure of industrial society of each country will be born. The most appropriate researcher's group is Consulting Engineer's Association of each country, because they are independent from a national benefite and a profit of enterprise. According to the above reason. I propose to start the co-operating research project immediately.