• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.647-663
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• 2011

Company's interest in the work place training and investment has been growing continuously because the talent of human resource is the competitiveness itself in the knowledge based society. However, corporate training programs mainly have focused on large companies and SMEs despite the economic business volume have been treated too lightly so far. This paper regards corporate training programs with one of the methods for SMEs innovation and proposes the smart learning in the smart device diffusion. Concretely, this paper analyzes the utilization intention, each attribute and level in smart learning characteristics using conjoint analysis. The result shows that SMEs have positive response for smart learning acceptance and SMEs consider significantly the usage fee type and location with the difference between regular employee and administrator. Specially, interactive communication and customized contents are preferred in the training type. Smart learning can be used as strategic means in supporting the value innovation and enhancing the absorptive capacity in SMEs innovation process.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.317-327
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• 2019

A tourist destination where nature and people coexist is needed for today's tourists who crave for various new experiences and attractions. In this respect, Slow city has its attractiveness as a good tourist destination and its potentials are being verified. The purpose of this study is to identify selection attributes of slow city which influence the perception of tourism professionals and finally to figure out its growth potential as a tourism destination. This study approaches and considers tourism industry worker's perception about slow city which previous studies have not been discussed. We examined that travel and tourism employees working on the tourism industry frontline, planning travel goods, providing information on tourist destinations, are less aware than the general public about slow city as a tourism destination.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.133-142
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• 2021

Travel pattern recognition is widely used in many aspects such as user trajectory query, user behavior prediction, interest recommendation based on user location, user privacy protection and municipal transportation planning. Because the current recognition accuracy cannot meet the application requirements, the study of travel pattern recognition is the focus of trajectory data research. With the popularization of GPS navigation technology and intelligent mobile devices, a large amount of user mobile data information can be obtained from it, and many meaningful researches can be carried out based on this information. In the current travel pattern research method, the feature extraction of trajectory is limited to the basic attributes of trajectory (speed, angle, acceleration, etc.). In this paper, permutation entropy was used as an eigenvalue of trajectory to participate in the research of trajectory classification, and also used as an attribute to measure the complexity of time series. Velocity permutation entropy and angle permutation entropy were used as characteristics of trajectory to participate in the classification of travel patterns, and the accuracy of attribute classification based on permutation entropy used in this paper reached 81.47%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.755-762
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• 2022

This paper propose a clustered algorithm that possible more efficient COVID-19 disease learning prediction within clustering using context-aware attribute information. In typically, clustering of COVID-19 diseases provides to classify interrelationships within disease cluster information in the clustering process. The clustering data will be as a degrade factor if new or newly processing information during treated as contaminated factors in comparative interrelationships information. In this paper, we have shown the solving the problems and developed a clustering algorithm that can extracting disease correlation information in using K-means algorithm. According to their attributes from disease clusters using accumulated information and interrelationships clustering, the proposed algorithm analyzes the disease correlation clustering possible and centering points. The proposed algorithm showed improved adaptability to prediction accuracy of the classification management system in terms of learning as a group of multiple disease attribute information of COVID-19 through the applied simulation results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.195-197
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• 2012

최근 고객관리 서비스는 사용자의 환경 및 특성까지 분석하여 개인에게 가장 적합한 서비스를 제공하는 형태로 변화하고 있다. 하지만 기존 고객관리시스템은 회원 가입 시 작성하는 정보 이외에 추가적으로 고객에 관한 정보를 얻기 위한 방법이 한정적이다. 이러한 기존의 고객관리 시스템은 고객의 성향에 따른 다양한 형태의 서비스를 제공하지 못하고 있다. 본 연구에서는 무선 통신 방법인 NFC(Near Field Communication)를 이용하여 고객의 성향을 신속하게 파악하며 분석할 수 있는 고객관리 시스템을 개발 제안한다. 제안된 시스템의 특징은 데이터의 처리 및 전송 경로가 사용자정보를 직접 서버로 전송하게 되며, 정보를 관리 서버에서 범주별로 분류하여 속성 단위로 가중치를 적용하여 분해하는 기능을 제공한다. 개발된 서버에서는 범주별로 규정되어 있는 속성정보에 대해 가중치와 저장된 사용자 정보를 제공된 알고리즘에 따라 상황인식기반으로 내용을 분석하게 되고, 분석된 사용자 정보들의 결과 값이 가장 높은 값을 가진 범주를 사용자의 특성으로 제공한다. 본 시스템으로부터 추출된 예측된 값은 사용정보를 수신할 때마다 갱신이 가능함으로 개발된 시스템은 사용자의 동향을 이용한 서비스를 온라인으로 제공할 수 있게 된다.

• The Journal of Korean Association of Computer Education
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• v.5 no.1
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• pp.35-43
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• 2002

By entering the information society, the trend of increasing use of the cyber education to deliver high-Quality educational programs is likely to continue. For instance, supported by the government agencies, central officials training institute is expending vast amounts of money for the installation of cyber education programs. However, much of the research that has been done concerns the discrepancy between the potential and the actual use of technology in the field of education and training. The intent of this study was to identify the decision of the adoption of cyber education among national officials who had just peceived the existence the cyber education programs which would be used for their professional training and development, and to investigate the relationships between the Rogers' five attributes of innovation (relative advantage, compatibility, easy of use, observability, trialiability) and their decision of adoption. The results of the study generally concurred with Rogers diffusion of innovation theory revealing that perceived compatibility, easy of use, and observability of cyber education are significant predictors of decision to participate in cyber education.

• Journal of Korean Society of Forest Science
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• v.99 no.4
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• pp.603-610
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• 2010

The purpose of this study is to survey the current awareness of local officials and to give a proposal that can establish the meaningful directions for the forest landscape policy. The data for this study was collected with questionnaires. Total 232 questionnaires were launched and valid 105 questionnaires were used for analysis. As a result of these data analysis, we found out that their awareness of the importance of forest landscape was high and they thought forest landscape plan was needed. However supply of the information and data such as guidelines to improve forest landscape condition was not enough. Through the IPA method, we had 15 properties of forest landscape policy were settled. It show us what needs to be kept up the good work, what needs to be concentrated here, what the low priority are, or what the possible overkill are. We finally suggest that direction of forest landscape management should be established based on above investigation.

• Archives of design research
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• v.11
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• pp.62-68
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• 1995

------Recently. as the level of common consumer thoughts of design has been highly developed. and the design oriented attitude of consumers. and it's research of behavior. are studied widely in business administration field. Accordingly the study of design has been endeavor to be studied bilaterlly by with related study like marketing as to secure the co-operative results and or conclusions which explain the consumer behaviors of product purchasing. This study is one of the conceptional trials steps which get in touch of design cognizance theoretically in design field. Main cotents are. A) The design oriented multi-attribute attitude factors regarding to consumer decision making. B) The design factors which give influences on purchasing products. C) The particularity of design factors is to be make on design cognizance. For these purpose, this study. above all. tries to survey the circumstance of design cognizance and the processing system of organizing design information. Finally "The product design cognizance system on consumers is represented hereinafter.fter.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.51-55
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• 2017

In this paper, we designed a LBS-based smart platform for Lifelog service that can utilize the other's lifelog information. The conventional Lifelog service means that the system records the daily activities of the smart device user so the user can retrieve the early-recorded information later. The proposed Lifelog service platform uses the GPS/UFID location information and the various information extracted from the image as the lifelog data. Further, the proposed Lifelog platform using DB can provide the user with the Lifelog data recorded by the other service user. The system usually provide the other's Lifelog data within the 500m distance from the user and the range of distance can be adjustable. The proposed smart platform based on image recognition for Lifelog can acquire the image from the smart device directly and perform the various image recognition processing to produce the useful image attributes. And it can store the location information, image data, image attributes and the relevant web informations on the database that can be retrieved by the other use's request. The attributes stored and managed in the image information database consist of the followings: Object ID, the image type, the capture time and the image GPS coordinates. The image type attribute has the following values: the mountain, the sea, the street, the front of building, the inside of building and the portrait. The captured image can be classified into the above image type by the pattern matching image processing techniques and the user's direct selection as well. In case of the portrait-attribute, we can choose the multiple sub-attribute values from the shirt, pant, dress and accessory sub-attributes. Managing the Lifelog data in the database, the system can provide the user with the useful additional services like a path finding to the location of the other service user's Lifelog data and information.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.333-335
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• 2022

The development of speech recognition processing technology has been applied and used in various video and streaming services along with STT and TTS technologies. However, there are high barriers to clear written expression due to the use of dialects and overlapping of stop words, exclamations, and similar words for voice recognition of actual conversation content. In this study, for ambiguous dialects in speech recognition, we propose a speech recognition technology that applies dialect key word dictionary processing method by category and dialect prosody as speech recognition network model properties.