• Information Systems Review
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• v.12 no.2
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• pp.47-74
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• 2010

This study presents two dimensional views of IT-use behaviors. It examines public employee's IT-use behavior as manifested in two ways: acceptance on IT, utilization on IT. This study investigates levels of employee's the acceptance and utilization on IT in the Korean Central Government(ministry and agency) and analyses factors affecting public employee's the acceptance and utilization on task-related IT in the public sector. This study tries to examine the variables affecting the acceptance and utilization on IT; especially, the influences of such variables as leadership, task-related communication with people, task motivation, IT usability and ease of uses, task understanding in the context of Korean Central Government. Based on a questionnaire survey in Korean Central Government(8 ministries, 5 agencies) that have implemented Government Knowledge Management System(GKMS), 311 valid instruments were received and analyzed using various statistics and structural equation model(SEM). And this study will adopt try to delineate pre and intervening conditions for public employee's the acceptance and utilization. According to the results of interviews and SEM analysis suggests that the influence of task-understanding, organizational communication, IS usability were statistically significant in the acceptance and utilization on IT. And it is also hoped that the path-analytic model suggested in this study helps reveal the causal chains between the acceptance and the utilization. Especially, task-understanding proves to be important in encouraging public employee's the acceptance and utilization. This result illustrates why task-understanding people are the key to utilize the task-related IT in public organization.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.5
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• pp.423-431
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• 2016

In general LPR(License Plate Recognition) in outdoor image is not so simple differently from in the image captured from manmade environment, because of geometric shape distortion and large illumination changes. this paper proposes three techniques for LPR in outdoor images captured from CCTV. At first, a serially connected multi-stage Adaboost LP detector is proposed, in which different complementary features are used. In the proposed detector the performance is increased by the Haar-like Adaboost LP detector consecutively connected to the MB-LBP based one in serial manner. In addition the technique is proposed that makes image processing easy by the prior determination of LP type, after correction of geometric distortion of LP image. The technique is more efficient than the processing the whole LP image without knowledge of LP type in that we can take the appropriate color to gray conversion, accurate location for separation of text/numeric character sub-images, and proper parameter selection for image processing. In the proposed technique we use DBN(Deep Belief Network) to achieve a robust character recognition against stroke loss and geometric distortion like slant due to the incomplete image processing.

• Management & Information Systems Review
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• v.37 no.3
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• pp.147-171
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• 2018

The purpose of this study is to analyze the factors affecting cooperation between industry and public research institutes, in addition to the effects of cooperation between them; on technological and economic performance of firms. Based on existing research relating to the factors affecting industry-university-research institutes cooperation and the relationship between them and firm performance, this study selected the competence of government-funded research institutes, R&D capabilities and organizational characteristics of firms, and support of government and local governments; as factors influencing cooperation between industry and public research institutes. This study sets seven hypotheses on the relationship between the factors promoting industry-public research institute cooperation, technological performance and economic performance. A questionnaire survey was used to collect data for hypothesis testing and 116 questionnaires were completed and used in this research. The PLS-MGA was used as a method for hypothesis testing. In the analysis results, we found that the competence of government-funded research institutes, organizational characteristics of firms, and the support of government and local governments have a positive impact on cooperation between industry and public research institutes. We also found that the collaboration between industry and public research institutes, positively affects firms' technological performance. In addition, we found that the technological performance of a firm, positively affects a firms' economic performance. On the other hand, firms' R&D capabilities have no significant effect on cooperation between industry and public research institutes, and industry-public research institute cooperation does not directly affect the economic performance of firms.

• Management & Information Systems Review
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• v.29 no.3
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• pp.23-50
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• 2010

This study is that the manufacturer's sales policy power appeared on the source of local distributors through the sale willingness impact on research for coexistence between the manufacturer and dealer sales for developing policy. Dealers in terms of the sale of regional sales willingness says "manufacturers and retailers to connect to the regional distribution on the path to regional sales representative for manufacturers based on trust companies that supply products or products manufactured by local retailers for about a unilateral will sale whether the continued willingness and indicates the degree of business". This study topics are the results of this measure will sell a total of 24 entries are four factors. In variety sales policy of each power source, First, sales policy in Reward Power, compensatory power as the manager of promotion support, sales support and sales activities will significantly impact respectively. Second, sales policy of Coercive Power, reduction of credit limits act as an element of discontent and the sales will appear in the negative hypothesis of the influence was partially supported. Third, sales policy in Referent Power, the information trust, the most significantly impact of trade policy, respectively. Fourth, sales policy in Professional Power, delay time delivery of goods, sales of our product and sales knowledge will have a significantly effect appear to be related.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.153-163
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• 2017

This research is based on the previous research that personally preferred safe distance, rotating angle and speed are differentiated. Thus, we use machine learning model for recognizing maneuvering modes trained per personal or per similar driving pattern groups, and we evaluate automatic driving according to maneuvering modes. By utilizing driving knowledge, we subdivided 8 kinds of longitudinal modes and 4 kinds of lateral modes, and by combining the longitudinal and lateral modes, we build 21 kinds of maneuvering modes. we train the labeled data set per time stamp through RNN, LSTM and Bi-LSTM models by the trips of drivers, which are supervised deep learning models, and evaluate the maneuvering modes of automatic driving for the test data set. The evaluation dataset is aggregated of living trips of 3,000 populations by VTTI in USA for 3 years and we use 1500 trips of 22 people and training, validation and test dataset ratio is 80%, 10% and 10%, respectively. For recognizing longitudinal 8 kinds of maneuvering modes, RNN achieves better accuracy compared to LSTM, Bi-LSTM. However, Bi-LSTM improves the accuracy in recognizing 21 kinds of longitudinal and lateral maneuvering modes in comparison with RNN and LSTM as 1.54% and 0.47%, respectively.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.3
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• pp.322-327
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• 2003

The water level of a steam generator of pressurized light water nuclear Power generator is known as a subject whose control is difficult because of a shrinking and swelling effect that is been mutually contradictory in a variation of feed water. In this paper, a neural network model selects first coordinative controller by a inappropriate gain of two PI controllers and the selected controller＇s gain is tuned by a fuzzy self-tuner. Model inputs consist of the water level, the feed water, and the stream flow. One controller of both coupling controllers whose gain is handled firstly is decided based upon above data. The proposed method can analyze patterns of signals using the characteristic of neural networks and select one controller that needs to be tuned through the observed result in this paper. If one controller between both the water level controller and the feed water controller is selected by the neural network model then a gain of the PI controller is suitably tuned by the fuzzy self-tuner. Rules of the fuzzy self-tuner drew from the pattern of input and output data. In the summary, the goal of this Paper is to select the suitable controller and tune the control gain of the selected controller suitably through such two processes.

• Management & Information Systems Review
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• v.35 no.1
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• pp.69-84
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• 2016

This study set the research model to examine the correlation between Word-of-Mouth constraint factors, efforts to negotiate pertaining to these, Flow and Word-of-Mouth intent based on the theory of leisure constrain when it comes to the correlation between consumers' Word-of-Mouth constraint factors and Word-of-Mouth. Correlation among the variables were verified in an empirical manner. Results of this study are summarized as follows. After verifying the hypotheses, all the hypotheses were adopted excluding the hypotheses of two results (Hypothesis 1, hypotheses 5). Detailed results regarding this are as follows. First, the following is the effect of the Intrapersonal Constraint and Word-of-Mouth constraint factors on the Word-of-Mouth constraint negotiation effort. Interpersonal Constraint and Structural Constraint exert positive (-) effect on the Word-of-Mouth constraint negotiation effort. In case of Intrapersonal Constraint, negative (-) effect was demonstrated. Thus, this was statistically significant although dismissed from hypothesis verification. Second, the following is the result of examining the structural correlation between Word-of-Mouth constraint negotiation effort, Flow and Word-of-Mouth. Word-of-Mouth constraint negotiation effort exerts positive (-) effect on the Flow, but it was not statistically effective in case of the Word-of-Mouth. Lastly, it is possible to see that the Flow plays the role of a medium since it exerted positive (-) effect on the Word-of-Mouth. Results of this study are expected to provide key theoretical and working level implications as well as general understanding of the Word-of-Mouth constraint factors, consumers' Flow and Word-of-Mouth.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.150-155
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• 2006

This study observes information education of facilities for the disabled. A certain facility for the disabled was selected in Daejeon to compare the educational environment for visually disabled of regular school for visually disabled and facilities for the disabled, and then personnel current situation by age and form of the disabled, teacher current situation by age, computer possessing current situation, weekly education schedule for the disabled, and equipment possessing current situation for visually disabled were observed. As a result, expansion of Braille education was necessary for the Braille skilled, which is the basis of information education information to visually disabled is insufficient, and forming of learning environment was desperate since equipment necessary for computer education was absurdly lacking unlike regular schools. Also, only 10 out of 21 teachers(47%) majored in social welfare or special education, and none majored in computer. It is because support for employment of those who majored social welfare, special education, and computer is insufficient compared to treatment for teachers at general schools at the facility for the disabled since teacher employment regulation at the facility for the disabled is not set. It is studied that providing high-quality of education environment to the disabled was desperate through physical and social treatment that suits nurturing of the professionally knowledge personnel through expansion of equipments and constant education and training based on government support to promote information education of the facility for the disabled.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.174-179
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• 2015

Failure Mode and Effects Analysis (FMEA) has been used by Dynamic Positioning (DP) system for risk and reliability analysis. However, there are limitations associated with its implementation in offshore project. 1) since the failure data measured from the SCADA system is missing or unreliable, assessments of Severity, Occurrence, Detection are based on expert's knowledge; 2) it is not easy for experts to precisely evaluate the three risk factors. The risk factors are often expressed in a linguistic way. 3) the relative importance among three risk factors are rarely even considered. To solve these problems and improve the effectiveness of the traditional FMEA, we suggest a Fuzzy-FMEA method for risk and failure mode analysis in Dynamic Positioning System of offshore. The information gathered from DP FMEA report and DP FMEA Proving Trials is expressed using fuzzy linguistic terms. The proposed method is applied to an offshore Dynamic Positioning system, and the results are compared with traditional FMEA.

• Management & Information Systems Review
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• v.38 no.2
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• pp.119-137
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• 2019

This paper analyzes the factors affecting the relationship characteristics of firms and public research institutes, in-addition to analyzing the effect of relationship characteristics with the industry-public research institute cooperation. We selected factors influencing relationship characteristics of firms and public research institutes based on the study of existing industry-university-institute cooperation. These factors include the willingness of the industry-public research institute cooperation, firm's R&D capabilities, and the firm's perceived public research institutes competence. The relationship between these factors, their relationship characteristics, and the performance of the industry-public research institute cooperation was studied using six hypotheses. In order to test this research model, we conducted a survey on industry-public research institute cooperation firms and received responses from 116 companies. Partial Least Square-Multi Group Analysis (PLS-MGA) was used to test the research model. The results of the empirical analysis show the following results. First, the willingness of the industry-public research institute cooperation, firm's R&D capabilities and firm's perceived public research institutes competence have a positive impact on the relationship characteristics of firms and public research institutes. Second, the relationship characteristics of firms and public research institutes have a positive impact on firm performance in the industry-public research institute cooperation. Third, firm's R&D capabilities and firm's perceived public research institutes competence directly affect firm performance in the industry-public research institute cooperation. These results provide policy and practical implications for enhancing firm performance of the industry-public research institute cooperation.