• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.618-620
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• 2019

Smart Farm, which combines agriculture and ICT convergence technology, is at a lower stage than other industries in Korea, but it is also one of the most active research and development fields. Smart Farm aims to improve the efficiency of each step by collecting, processing and analyzing various information of agriculture sector through convergence between agriculture and ICT technology. In this study, we studied the image processing method that can distinguish strawberry which can be harvested at harvest time by color for smart farm composition of strawberry which is a horticultural crop. Strawberry harvesting requires a lot of labor in the process of growing strawberries. In this study, we aim to collect information necessary for labor saving in strawberry harvester. As a precedent study, we plan to implement a form in which the color temperature changes according to the light direction and brightness value through OpenCV color detection using Python. In the future, it is planned to study strawberry color value suitable for harvest by applying compensation value to color temperature change.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.382-382
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• 2022

우즈베키스탄은 수자원의 의존도가 매우 큰 국가이다. 과거로부터 농업이 발달하였으며 하천에서 용수를 취수하여 농업용수로 이용하지만 연간 강수량이 적어 수자원의 대부분은 중앙아시아 공유 하천인 Amudarya강과 Syrdarya강에서 취수하여 사용한다. 이들 하천의 수자원은 하천의 상류에 위치한 키르기스탄과 타지기스탄에서 주로 기원하고 있어 우즈베키스탄은 물안보에 매우 취약한 실정이다. 우즈베키스탄은 물사용량 중 약 90%가 농업용수로 이용되고 있으나 수자원의 양이 부족하고 관개시설의 노후화 및 비효율적인 용수공급으로 농업생산성이 낮다. 우즈베키스탄은 수자원의 관리를 위하여 주요 하천 및 수로지점에 유량관측소를 설치하여 운영하고 있지만 시설의 노후화로 인하여 관측자료의 정확도가 낮으며 수기로 일단위로 측정하여 보고하는 방식으로 인하여 적기에 합리적인 용수배분 의사결정이 어려운 실정이다. 이러한 문제를 해결하기 위한 하나의 방법으로 우즈베키스탄 수자원부는 우즈베키스탄에 수자원 관리 정보화사업을 소개하고 적용하는 것이 필요하다고 판단하였으며, 수자원정보화사업을 우즈베키스탄에 적용하기 위하여 수자원정보화에 있어서 선진국이라 할 수 있는 한국의 기술을 우즈베키스탄에 활용하도록 요청하였다. 이에 따라 2016년부터 "우즈베키스탄 ICT기반의 물관리 마스터 플랜 수립 및 시설기반강화 시범사업"을 수행되게 되었다. 본 사업의 목적은 "수자원정보시스템의 개발 및 역량강화로 수자원정보화 기반을 구축"하는 것으로 우즈베키스탄 전국에 ICT 기반의 수문계측 및 수자원관리 시스템 구축 등 선진화된 수자원 정보 시스템을 개발하고, 향후 지속가능한 유지·보수·관리를 위한 현지 전문가 대상의 역량 강화 사업(수문계측기기, 시스템운영 및 유지보수 등)을 통해 본 사업의 현지정착을 도모하고자 하는 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.389-392
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• 2012

에너지관리 지원 서비스는 공장 내에서 일어나는 전력발전 및 전력할당을 데어터 분석 기법 등을 이용하여 효과적으로 관리하는 것을 목적으로 한다. 특히 그 중에서도 태양광, 풍력 등 친환경 에너지를 이용한 에너지관리 시스템은 비용절감 뿐만 아니라 환경보호 측면에서도 중요한 문제라 할 수 있다. 이들 친환경 에너지를 제대로 이용하기 위해서는 그들의 발전량을 정확히 예측할 필요가 있지만 현재의 시스템에는 가장 기본적인 예측법인 최근접 이웃법을 사용하고 있다. 최근접 이웃법의 경우 노이즈와 아웃라이어에 민감하다는 단점이 있기 때문에 이들 상황에 대처할 수 있는 보다 정교한 예측법이 필요하다.

• International Commerce and Information Review
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• v.19 no.4
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• pp.127-145
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• 2017

The study focuses on the ICT industry, which is considered future growth engine. Tthe main objective of the research is to examine the extent of the competitiveness of the Chinese ICT industry, which is rapidly emerging as a competitor of the ICT industry in Korea. The ICT items subject to primary analysis of this study were computer and peripherals items. Analysis methods used were MSI (Market Share Index), EBI (Export Bias Index), and MCA (Market Comparative Advantage). The analysis period was from 2008 to 2016, and the analysis dater used were the export-import data provided by KITA. According to the study, Korean market share of Chinese computers and peripherals items has continued to increase, exports concentrated on the Korean market are intensifying, though the degree of competitiveness gained by the Korean market is quite strong. In particular, 852851, 847160 items have the largest competitiveness in the Korean market compared to other items used in this study. The implications of this study for the Korean market are as follows: i) improvement of quality with price ii) convergence product development between computer and peripherals items and consumer -friendly design development, and iii) marketing efforts to improve product awareness so that consumers recognize Korean computer and peripherals products.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.265-279
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• 2016

The purpose of study was to test the effects of job characteristics and job stress on job satisfaction in the ICT Convergence Venture Companies and the moderating role of social support between job characteristics and job satisfaction. For this study, the data were collected from 15 ICT Convergence Ventures in metropolitan area by using structured questionnaires. The sample of 301 employees was selected and analyzed by hierarchical regression technique. The results showed that job characteristics had a positive effect on job satisfaction and job stress had a negative effect. And also found out social support had the moderate roles between job stress and job satisfaction except coworker support with regard to role ambiguity, whereas it did not serve as a moderate role between job characteristics and job satisfaction. The research results are summarized, the implications for ICT convergence Ventures were discussed, and the directions for future research were suggested.

• 정보화사회
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• s.18
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• pp.54-58
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• 1989

한국전기통신공사는 현재의 전화망이 데이터통신을 활성화하는데 제약요소가 많다고 보고 향후 데이터통신의 경쟁체제에 대처키 위한 기반을 조성하고 데이터통신을 제2의 전기 통신사업으로 발전 육성시킬 목적으로 데이터통신 시범망을 구축키로 했다. 공사의 시범망 구축계획은 체신부의 PC 1,000만대 보급을 통한 정보이용의 활성화계획 추진과 데이터통신이 경쟁체제및 국제화, 미국의 데이터통신 시장개방 압력의 가중, 법적 규제 완화 추세로 가고 있는 배경에 기인한다. 통신공사는 시범기간동안 데이터통신 이용에 알맞는 통신망 개발자료 수집과 요금체제 개발을 추진하고 요금체제 정립전 및 정보처리용 통신 노드구축전까지 기존 시설을 활용하여 데이터통신 활성화를 도모할 방침이다.

• Journal of Korean Library and Information Science Society
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• v.53 no.3
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• pp.263-285
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• 2022

This study presented the factor analysis on constructing the new factors affecting the middle school students' online learning behaviors from the questionnaires employed among middle school students. A total of 204 students participated and the data were collected in South Korea. The sample of middle school ninth-grade students was selected and used through purposive sampling. Findings from the factor analysis provided evidence for the eight-factor solution for the 35-items accounting for 66.15% of the shared variance. A wide range of factors has been considered to identify students' online learning behaviors. The appropriate experience and use of e-learning in the middle school period is also important as it will be a critical stepstone for future education. This research provides information that has been taken into account for advancing online learning to enhance the quality of e-learning systems for middle school students. The study results provided eight new factors affecting the middle school students' online learning behaviors; that is 1) communication using social media as a learning tool, 2) intention to share information using ICT, 3) addiction of technology, 4) adoption of technology, 5) seeking information using ICT, 6) use of social media learning, 7) information search using ICT, and 8) immersion of technology. This study confirmed that middle school students prefer communication using social media as a learning tool, and value intention to share information using ICT for the most part. The data obtained based on factor analysis can highlight the online learning behaviors towards a mixture of social media learning and ICT to ensure a new educational platform for the future of e-learning. This research expects to be useful for both middle schools of online learning to better understand students' online learning behaviors and design online learning environments and information professionals to better assist students who particularly need digital literacy.

• Knowledge Management Research
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• v.24 no.4
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• pp.63-85
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• 2023

This study aims to identify the primary user group in the growing metaverse space based on the increased interest during the COVID-19 era. It also aims to explore the predictive factors for metaverse adoption. To predict online activities, the study examined user purposes, motivations, and relevant demographic factors as predictive variables through model analysis. The data from the Korean Media Panel Survey were used, and a two-stage analysis with the Heckman two-stage sample selection model was conducted to predict metaverse users. The analysis revealed that the key factors influencing metaverse adoption were offline activities, openness, OTT usage, and purchasing of paid content. Moreover, in the second stage model, openness, gender, and paid content purchases were identified as significant variables for increasing metaverse usage time. These results indicate that understanding metaverse users is essential in the context of the rising interest in online activities during the COVID-19 era and can provide valuable insights for metaverse platform-related companies and developers.

• Journal of Korean Society of Forest Science
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• v.112 no.4
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• pp.515-522
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• 2023

The aim of this study was to quantitatively evaluate a new stem volume table for estimating the growth, carbon storage, and greenhouse gas (GHG) absorption in Cryptomeria japonica and Chamaecyparis obtusa stands and to provide suggestions for improving the domestic GHG inventory. Carbon storage and GHG absorption were estimated using growing stock data obtained from invariable sub-sample plots between the 6^th and 7^th national forest inventories. We assessed changes in growing stock using the parameters employed by Kozak (1988) and Versions 1 and 2 of the stem volume table. Version 2 has new stem tables for 16 species, including Cryptomeria japonica, which were unavailable in Version 1. Version 2 also includes new data for trees with diameters at breast height equal to or greater than 30 cm. We found greater growing stock values using Version 2 than Version 1 for both stands, and the differences were statistically significant (p<0.001). Applying the new stem volume table increased GHG absorption by 22% for the Cryptomeria japonica stand and 13% for the Chamaecyparis obtusa stand. The growing stock estimation method used in this study should therefore be applied to re-estimate GHG absorptions in the forestry sector to produce accurate statistics for the IPCC guidelines.

• Management & Information Systems Review
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• v.35 no.3
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• pp.273-287
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• 2016

This study aimed to clarify the effect of information technology (IT) education on the efficiency and effectiveness of working processes among agriculture corporations. Survey data on information levels from 222 agriculture corporations were collected from the Korean Agency of Education, Promotion, and Information Service in Food, Agriculture, Forestry, and Fisheries (EPIS) for a governmental white paper. Structural equation modeling was used for analysis. This study found that IT education increases the ratio of the use of information systems in working processes, especially given the use of data accumulated through information and communications technologies (ICT). The findings of this study suggest that the use of ICT data as an aspect of IT education is beneficial for the agricultural sector.