• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.13-15
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• 2012

온라인 소셜 네트워크 서비스의 확산과 다양한 센서들이 집약된 스마트 모바일 기기들의 발달로 인해 사용자들은 언제 어디서나 모바일 애플리케이션을 통해 사회적 이웃들과 온/오프라인에서 즉시적으로 정보를 공유하며 상호작용하고 있다. 그러나 여전히 모바일 기기들의 에너지 제약으로 인해 사용자들은 배터리에 대한 불안감을 늘 갖고 사용하게 되면서 센서 기반의 서비스들을 충분히 활용하지 못하는 경우가 많다. 이처럼 자원제약적인 모바일 기기들의 에너지 소비 문제를 해결하기 위해 본 논문에서는 에너지 효율적인 센싱 그룹을 형성하는 협업 센싱 메커니즘을 소개한다. 특히 사람들간의 그룹 형성에 있어 중요한 특성들을 파악하기 위해 사용자의 그룹 행동양식을 분석하고 에너지 효율적인 협업 센싱 그룹을 발견하기 위한 그룹의 공존-지속시간 예측모델을 제안한다.

• Information and Communications Magazine
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• v.31 no.5
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• pp.61-66
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• 2014

최근 건강기능식품의 성장으로 농식품 산업이 1차 산업을 넘어 고부가가치 신성장산업으로 재정의되며 각국은 농식품 산업 경쟁력 강화를 위해 ICT 융합을 빠르게 진행하고 있다. 국내 농식품 산업 역시 FTA 체결 등으로 글로벌 경쟁력을 강화하기 위해 국내 발전된 ICT역량을 농식품 산업에 융합하는 노력을 진행하고 있다. 하지만 아직 초기 단계로써 농식품 가치사슬상 생산분야의 시설원예나 축산 생산성 증가를 위한 ICT 융합 단계에 머무르고 있다. 이에 본 논문은 농식품 생산분야 ICT 최신사례로써 노지작물 재배 ICT 융합사례, 수산양식 ICT 융합사례를 소개하고, 농식품 유통 및 판매 분야 ICT 융합사례로써 스마트 가상 스토어, 아마존 대시, 전자가격태그 모델을 소개하고 그 산업적 시사점을 논의하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1004-1006
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• 2015

스마트폰과 어플리케이션의 발달에 따라 과거에는 종이에 인쇄하여 사용하던 초대장들이 SNS 등을 통해 온라인으로 많이 사용되어 지고 있다. 이로 인해 시장에는 다양한 모바일 초대장을 제작해주는 대행업체들이 생겨났다. 기존의 모바일 초대장들은 모델별로 서식을 제작하여 도장 찍듯이 만들어내기 때문에 이를 사용하는 사용자 입장에서는 다른 사람이 이미 사용한 양식의 초대장을 재사용하게 될 수 있다. 보편적으로 이러한 초대장은 특별한 날이나, 기념일적인 일에 사용하는데, 남들이 사용하는 초대장과 차별성을 줄 수 없는 문제가 있다. 우리는 이러한 문제점을 해결하고자 차별화된 모바일 초대장을 만들 수 있는 도구를 구현하였다. 본 논문에서는 이 도구가 생겨난 배경과 도구 제작에 사용된 기술, 관련 연구, 구체적인 구현 방법을 설명한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.266-268
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• 2020

본 시스템은 사용자에게 수질, 수온, 산소량 측정 및 AI 자동 먹이 공급 그리고 불법 어선감지 시스템을 제공한다. 이는 사용자의 사유재산 보호, 효율적인 운영을 통한 경제성 향상 등 양식장 환경 개선을 목적으로 한다.

• Smart Media Journal
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• v.12 no.10
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• pp.71-84
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• 2023

Paralichthys olivaceus accounts for a large proportion, accounting for more than half of Korea's aquaculture industry. However, about 25-30% of the total breeding volume throughout the year occurs due to diseases, which has a very bad impact on the economic feasibility of fish farms. For the economic growth of Paralichthys olivaceus farms, it is necessary to quickly and accurately diagnose disease symptoms by automating the diagnosis of Paralichthys olivaceus diseases. In this study, we create training data using innovative data collection methods, refining data algorithms, and techniques for partitioning dataset, and compare the Paralichthys olivaceus disease symptom detection performance of four object detection deep learning models(such as YOLOv8, Swin, Vitdet, MvitV2). The experimental findings indicate that the YOLOv8 model demonstrates superiority in terms of average detection rate (mAP) and Estimated Time of Arrival (ETA). If the performance of the AI model proposed in this study is verified, Paralichthys olivaceus farms can diagnose disease symptoms in real time, and it is expected that the productivity of the farm will be greatly improved by rapid preventive measures according to the diagnosis results.

• Journal of Technology Innovation
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• v.23 no.3
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• pp.137-167
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• 2015

Based on the stakeholder theory, this paper analyzes a clash of standards in Korea's Electric Vehicle(EV) market, particularly between an EV charging standard and a smart grid communication standard in 2012~2013. For charging, EV is connected with the electric power grid and simultaneously exchanges data regarding the charging status. When EV is connected with the power grid, a clash between two standards may arise. It actually happened when BMW entered into the Korean EV market with the DC Combo charging system. In that course, the frequency interference occurred between the EV data communication technology adopted by BMW and the AMI(Advanced Metering Infrastructure) for the smart grid system in Korea. Standardization of Korea's EV charging systems was required to solve this problem. However, it had been delayed due to the confrontation between various stakeholders involved in the process of standardization. It lasted until the DC combo was accepted as one of the Korea EV charging standards(KSAE SAE 1772-2040, 2014.1) by KSAE(The Korea Society of Automotive Engineers) in January 2014. This is an interesting case in the age of convergence. As it deals with the standard competition not among EV standards, but a clash between the EV industry and the smart grid, i.e. electric power industry, it addresses the necessity to consider standardization processes between different industries. This study draws on the stakeholder theory to analyse the dynamics of the standard clash between EV charging systems and the smart grid system, which is a unique example of standard clash between different industries. We expect such clashes to increase in the age of convergence.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.252-260
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• 2019

Smart devices have penetrated deeply into our daily lives. They have not only increased user convenience, but also changed the overall lifestyle of society. The objective of this study was to examine the change process of user experience through device classification and technology by generation. In order to achieve the objective, this study analyzed the purpose and pattern of using a device, which is a digital platform, and the input and output, which are the most important digital components for personal exclusiveness and interaction. The analysis results of this study showed that, in the past, the purpose of using a device was clear, a device was used in common, and a separate device was used for input and output. However, as devices evolved, users began to emphasize the fun aspect than the purpose of a device. As a result, personal exclusiveness has increased. Moreover, unlike devices in the past depending on separate input or output methods, devices are evolving to employ a method performing input and output using the five senses of people such as the touchscreen using a body part of a user, voice, and motion. This study evaluated how the overall experience of users, which was obtained through technology, has changed for each generation. Furthermore, this study proposed the future direction of device development by considering the user experience. It is believed that the results of this study will be useful for future studies on the overall experience of users who will use a range of smart devices, which will be released in the future.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.137-143
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• 2018

The 4th industrial revolution will have brought smart furniture integrated with IT technology and provide a convenient and comfortable environment for our lives. Therefore, this study analyzed the design characteristics of fusion integrated furniture based on changes of the times. In 20th centuries, characteristic of fusion design was based on architectural structure, new material and function. In 21st centuries, smart home furniture and network system was developed based on IT technology. In addition, due to the increase of single-person households and various consumer purchasing patterns, combined functions for small spaces and multi-function furniture was also developed. In conclusion, the trends of convergence design furniture from 20 to 21st century showed that furniture industry has a significant potential for high-tech technology. This study may be a useful information in developing convergence design furniture industry.

• Tunnel and Underground Space
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• v.32 no.2
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• pp.93-106
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• 2022

This study developed applications that allows truck drivers to record ore production data using smart devices at mine sites and to create a daily work report (operation report) in a PC environment. For this, four operating mines in Korea were selected as study areas, and daily work reports used there were investigated. The information elements included in the daily work report of each mine were analyzed. Because the information to be collected for writing ore production data and format of report are different for each mine, four types of applications were developed for the study areas. Ore production data could be recorded by receiving a signal from a Bluetooth beacon and by operating the application directly by the truck driver. The collected data files are uploaded to the cloud server, and the uploaded data files can be converted into a daily work report using the developed applications in a PC environment.

• Korean Journal of Construction Engineering and Management
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• v.24 no.5
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• pp.35-43
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• 2023

Along with the increase in Multi-unit housing defect disputes, the importance of defect management is also increased. However, previous studies have mostly focused on the Multi-unit housing's 'common part'. In addition, there is a lack of research on the system for the 'management office', which is a part of the subject of defect management. These resulted in the lack of defect management capability of the management office and the deterioration of management quality. Therefore, this paper proposes a machine learning-based defect data management system for management offices. The goal is to solve the inconvenience of management by using Optical Character Recognition (OCR) and Natural Language Processing (NLP) modules. This system converts handwritten defect information into online text via OCR. By using the language model, the defect information is regenerated along with the form specified by the user. Eventually, the generated text is stored in a database and statistical analysis is performed. Through this chain of system, management office is expected to improve its defect management capabilities and support decision-making.