• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.293-310
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• 2022

In this study, we analyzed the performance of the BERT-based document classification model by automatically classifying documents in the field of library and information science based on the KoBERT. For this purpose, abstract data of 5,357 papers in 7 journals in the field of library and information science were analyzed and evaluated for any difference in the performance of automatic classification according to the size of the learned data. As performance evaluation scales, precision, recall, and F scale were used. As a result of the evaluation, subject areas with large amounts of data and high quality showed a high level of performance with an F scale of 90% or more. On the other hand, if the data quality was low, the similarity with other subject areas was high, and there were few features that were clearly distinguished thematically, a meaningful high-level performance evaluation could not be derived. This study is expected to be used as basic data to suggest the possibility of using a pre-trained learning model to automatically classify the academic documents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.164-173
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• 2019

The purpose of this research was to introduce a network analysis method for analyzing technology trends in the aerospace industry at the Farnborough International Airshow (FIA), one of the world's three major airshows. Civil and defense companies and government and military officials from 112 countries and 1,500 agencies convened at FIA 2018 to share and explore recent trends in the aerospace industry. We studied aerospace technologies from 45 countries, 1,108 exhibiters, and 223 technology categories via centrality analysis. The results from the network analysis showed that machining is the center of aerospace technology. However, there were quite different tendencies, depending on the region and country. The centers of aerospace technology are machining in Europe and the United Kingdom, aircraft components in Asia, and engine components/controls in the United States. In Korea, no one key technology was recognized, due to the country's small attendance. We hope this research will be conducive to aerospace technology-and-research planning, and that it will be an appropriate tool to help domestic manufacturers boost their exports.

• Journal of the Korea Society for Simulation
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• v.30 no.2
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• pp.41-48
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• 2021

As the rural population continues to decline and aging, the improvement of agricultural productivity is becoming more important. Early prediction of crop quality can play an important role in improving agricultural productivity and profitability. Although many researches have been conducted recently to classify diseases and predict crop yield using CNN based deep learning and transfer learning technology, there are few studies which predict postharvest crop quality early in the planting stage. In this study, a early quality prediction model is proposed for sprout ginseng, which is drawing attention as a healthy functional foods. For this end, we took pictures of ginseng seedlings in the planting stage and cultivated them through hydroponic cultivation. After harvest, quality data were labeled by classifying the quality of ginseng sprout. With this data, we build early quality prediction models using several pre-trained CNN models through transfer learning technology. And we compare the prediction performance such as learning period and accuracy between each model. The results show more than 80% prediction accuracy in all proposed models, especially ResNet152V2 based model shows the highest accuracy. Through this study, it is expected that it will be able to contribute to production and profitability by automating the existing seedling screening works, which primarily rely on manpower.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.406-415
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• 2014

In this study, the fast-growing market in the Food Service Industry Study of the delivery service. The first objective of this study is to classify consumers food-related lifestyle and the second is the dimension of the delivery service quality will derive. According to the consumer's food-related life style, make about the consumer's delivery service quality perception and satisfaction to evaluate the differences. Food-related lifestyle 'health seeking type', 'fashion pursuit type', 'type taste pursue', 'seek safety-type', 'seek convenience-type' was separated, cluster analysis 'taste pursuit group', 'high-interest in foods group', 'seek convenience-group' were classified. Delivery service quality 'food quality', 'economic', 'ease of ordering', 'employee quality', 'sanitation', 'order quality' and were classified into six. That of 'food quality' and 'economic' factor were significantly different from the consumer group, but also the 'order quality', 'food quality', 'sanitation' and the order of the large degree of influence on satisfaction, respectively.

• Culinary science and hospitality research
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• v.15 no.3
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• pp.294-306
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• 2009

Although the external aspects of the family restaurant industry such as sales volume and the number of restaurants are rapidly increasing, and the environmental changes of the restaurant industry give rise to the importance of a more systematic and detailed study. The objective of this study is to examine which factors and how they influence the intention of revisit, and present an effective restaurant marketing strategy based on the analytical results by patrons and market segmentations. In order to substantiate the proposed model of this study, the SPSS Win 12.0 program was used for the statistical analysis. The results showed that service quality factors had a positive effect on satisfaction, word of mouth, recommendation and intention of revisit. The study verifies how service quality which consists of selection attribute, customer satisfaction and intention of revisit influences revisit.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.3
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• pp.155-160
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• 2014

This paper deals with comparison of classification accuracy between three land cover classification results having difference in resolution and they were classified with eight classes including building, road, forest, etc. Airborne hyperspectral image used in this study was acquired at 1000m, 2000m, 3000m elevation and had 24 bands(0.5m spatial resolution), 48 bands(1.0m), 96 bands(1.5m). Assessment of classification accuracy showed that the classification using 48 bands hyperspectral image had outstanding result as compared with other images. For using hyperspectral image, it was verified that 1m spatial resolution image having 48 bands was appropriate to classify land cover and qualitative improvement is expected in thematic map creation using airborne hyperspectral image.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.3 s.37
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• pp.63-70
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• 2006

This study aims to development of web-based process management system for spatial data construction. For developing this system work classification of basic surveying was standardized and quality management method for spatial data was established. Production process and work classification system for basic surveying such as control point surveying using GPS, leveling, aerial photographing, digital mapping, topographic mapping, digital elevation modeling, aerial photographic DB construction and digital orthophotomap was standardized. The status of the output and quality inspection for basic surveying project were analyzed, and the elements of quality inspection and data format for the type of outputs were analyzed. Based on standardized and analyzed contents, web-based process management system was developed after database and process was designed. The process management system consisted of process management, quality control, metadata management, and system management.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.409-415
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• 2022

In computer vision, an image of a measurement target is acquired using a camera. And feature values, vectors, and regions are detected by applying algorithms and library functions. The detected data is calculated and analyzed in various forms depending on the purpose of use. Computer vision is being used in various places, especially in the field of automatically recognizing automobile parts or measuring the quality. Computer vision is being used as the term machine vision in the industrial field, and it is connected with artificial intelligence to judge product quality or predict results. In this study, a vision system for judging the quality of automobile parts was built, and the results were compared by applying five machine learning classification models to the produced data.

• Management & Information Systems Review
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• v.35 no.3
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• pp.249-272
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• 2016

This study based on dual aspects of service quality aims at classifying service quality attributes by Kano model and also providing the necessity to decide which service quality would be carried out preferentially in the service industries(hotel service, repair service, education service, medical service). The first purpose of this study, therefore, is assorting the service quality by the Kano model about four service industries based on Schmenner's service process matrix. Secondly, this has an intention of drawing preferred considerations and putting forward measures to increase the customer satisfaction by Timko and PCSI Index. The result of this study is as follows. First of all, it was found that tangible attributes classified the attractive quality and Timko's score also was very high in four service industry. That is to say that tangible attributes in service industries could be interpreted into having very high importance at standards on service quality estimation of customer. Second, all but repair service of the service industries suggested empathy dimension to have flexibility solving and understanding the customer's problem could be improve the customer satisfaction. Finally, the common result between them was empathy dimension classified attractive quality in all industries. That is because present satisfaction was not reached customer expectation so there would be a improvement of empathy dimension preferentially.

• Proceedings of the Korean Society for Quality Management Conference
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• 2007.04a
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• pp.273-278
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• 2007

본 연구는 고객의 형태에 따라 서비스 유형을 결정하는 지표를 설정하기 위하여 고객의 쇼핑태도를 절약형 고객, 단골고객, 개인화고객, 편의고객으로 분류하여 각각의 유형별 고객이 쇼핑태도와 SERVQUAL과의 인과관계를 분석하고 서비스 방향을 설정하기 위함이다. 본 연구는 SERVQUAL과 소비자의 소비 패턴과의 인과관계를 분석하여 기업이 제공하는 서비스의 도구를 개발하여 소비자가 원하는 서비스 경영의 방향을 설정하여 높은 수준의 품질과 서비스를 제공할 수 있는 도구를 개발하기 위함이다. 본 연구는 경기, 충북 지역의 20세-30세의 남 ${\cdot}$ 여를 대상으로 설문하여 최근 젊은층의 소비 패턴을 분석하여 그동안 서비스 기업의 문제점인 고객 불만족, 고비용 저효율, 진정한 성과를 거두지 못한 구조직인 문제점을 해결할 수 있는 방안을 찾고자 하였다. 따라서 본 연구의 목적은 국내 젊은층을 주 고객으로 하는 서비스 기업에 적용 가능한 서비스 모형을 설정하기 위한 접근방법을 탐색하는데 있다.