• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.314-315
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• 2020

현대의 많은 Internet of Thing (IoT)기기들의 충전방식이 유선 충전이 아닌 무선 충전을 사용함에 따라 다양한 연구들이 활발히 이루어지고 있다. 그 중 공진을 이용한 자기공진 방식의 무선충전 시스템은 전자기유도 방식보다 먼 거리에서 충전이 가능하고 공진부 코일의 중심점을 맞추지 않아도 효율에 큰 차이를 보이지 않는 장점이 있다. 점점 더 무선충전이 가능한 기기들이 많아짐에 따라 소모전력이 큰 기기들의 무선전력전송이 많이 연구되고 있다. 본 논문에서는 2개의 송신코일을 사용하여 기존의 1Transmitter - 1Rectifier (1Tx-1Rx) 방식보다 대용량 전력을 전송할 수 있음을 검증하고자 한다.

• Broadcasting and Media Magazine
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• v.22 no.4
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• pp.34-40
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• 2017

현재 멀티미디어는 사용자의 감성을 자극하며 몰입감과 현장감을 자아내고 극대화할 수 있는 실감 미디어(Immersive media)로 발전하고 있다. 이러한 실감 미디어 내 시청각 정보의 저장과 표현을 위한 데이터 템플릿과 인터페이스들은 상당히 많은 부분에서 표준화되어 왔지만, 이와 달리 후각, 미각, 촉각 등의 실감 정보들은 관련 표준들의 부재로 인해 많은 연구 개발에도 불구하고 해당 서비스들의 상용화가 지연되고 있는 중이다. 이 문제를 해결하기 위해 이 논문에서는 후각 미디어에 초점을 맞추어 MPEG-V 표준과 현재 진행 중인 MPEG-IoMT(Internet of Media Thing) 표준을 사용하여 미디어 사물 인터넷 내 후각 인터렉션을 위해 필요한 표준 데이터 템플릿과 인터페이스를 기술하였다.

• Information and Communications Magazine
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• v.34 no.2
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• pp.6-11
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• 2017

IoT 연구과제와 관련하여 향후 비즈니스에서 가장 중요한 근거가 되는 IoT 플랫폼을 스마트홈, 자동차 등에서 기업과 제품개발 동향을 살펴 보았다. IoT 플랫폼은 크게 가정을 중심으로 하는 스마트 홈, 이동 공간을 넘어 새로운 생활 공간으로 확장이 가능한 자동차 공간, 제품의 제조, 배송 등이 모두 이루어지는 스마트 팩토리 등으로 나누어질 수 있다. 이중 스마트 홈과 관련해서는 가정 내의 가전기기의 융합과 통합의 중심이 되는 역할을 어떤 기기, 어떤 방식의 인터페이스가 주도권을 잡아 갈지는 관련 기업들에게는 사활을 건 승부처가 된다. 그런 면에서 금번 전시회에서 아마존의 알렉사는 매우 중요한 음성인식 기반의 인터페이스로 부각되었다. 특히 향후 가정의 중심 기기가 무엇이든지 그 기기를 통합하는 인터페이스로 다양한 제휴 제품을 아마존이 아닌 다른 업체들로 하여금 소개할 수 있게 함으로써 향후 매우 중요한 위치를 잡았다고 볼 수 있다. 자율주행차는 아직까지 플랫폼으로 연결할 만큼 주도적인 사물인터넷 인터페이스는 선보이지 않았지만, 역시 알렉사 등이 포드, 현대, 도요다 등을 통해 채택된 것을 볼 수 있었고, 그 밖에 헬쓰케어와 연계한 차별화를 통해 꽤하는 것들도 볼 수 있었다. 다만 자율주행차가 새로운 생활 공간으로 자리잡기까지는 자율주행차의 상용화가 이루어질2020년 이후까지는 기다려야 할 것으로 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.101-104
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• 2014

이벤트란 객체 상태 변화에 따른 상황 변화이다. 이벤트는 어떤 구성요소들로 이루어져있는가에 따라서 표현력이 달라지고 그 표현으로 알 수 있는 정보가 달라진다. 본 논문은 이전 연구에서 제안한 육하원칙에 의해 제안된 구성요소들을 보완하여 이벤트를 이전 구성요소보다 표현력이 더 뛰어난 이벤트 구성요소를 제안하고, 이 구성요소를 이용한 이벤트 표현 방법을 제안한다. 또한, 본 논문에서는 제안한 이벤트 표현법이 IoT 시대에서 Thing들이 센싱, 통신, 처리이벤트 정보를 표현하는데 활용될 수 있음을 보인다.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.173-182
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• 2016

AI (Artificial Intelligence) has attracted interest as a key element for technological advancement in various fields. In Korea, internet companies are leading the development of AI business technology. Active government funding plans for AI technology has also drawn interest. But not everyone is optimistic about AI. Both positive and negative opinions coexist about AI. However, attempts on analyzing people's opinions about AI in a quantitative way was scarce. In this study, we used text mining on SNS (Social Networking Service) to collect opinions about AI. And then we performed a comparative analysis about whether people view it as a positive thing or a negative thing and performed a comparative analysis to recognize popular key-words. Based on the results, it was confirmed that the change of key-words and negative posts have increased through time. And through these results, we were able to predict trend about AI.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.155-164
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• 2023

Machine learning with its high precision algorithms, Precision agriculture (PA) is a new emerging concept nowadays. Many researchers have worked on the quality and quantity of PA by using sensors, networking, machine learning (ML) techniques, and big data. However, there has been no attempt to work on trends of artificial intelligence (AI) techniques, dataset and crop type on precision agriculture using internet of things (IoT). This research aims to systematically analyze the domains of AI techniques and datasets that have been used in IoT based prediction in the area of PA. A systematic literature review is performed on AI based techniques and datasets for crop management, weather, irrigation, plant, soil and pest prediction. We took the papers on precision agriculture published in the last six years (2013-2019). We considered 42 primary studies related to the research objectives. After critical analysis of the studies, we found that crop management; soil and temperature areas of PA have been commonly used with the help of IoT devices and AI techniques. Moreover, different artificial intelligence techniques like ANN, CNN, SVM, Decision Tree, RF, etc. have been utilized in different fields of Precision agriculture. Image processing with supervised and unsupervised learning practice for prediction and monitoring the PA are also used. In addition, most of the studies are forfaiting sensory dataset to measure different properties of soil, weather, irrigation and crop. To this end, at the end, we provide future directions for researchers and guidelines for practitioners based on the findings of this review.

• Journal of the Korean Society of Costume
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• v.61 no.4
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• pp.63-75
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• 2011

The purpose of this study were to investigate influences of perceived value and perceived risk on purchasing behavior for imported apparel from official dealer and unofficial dealer in internet shopping mall. A total of 363 female subjects with ages ranging between 20's and 30's completed the questionnaire. The results of this study were as follows. 1) Imported apparel through official dealer had no influence by impulse buying for convenience and efficiency value, information value, after-purchasing value. On the other hand, imported apparel through unofficial dealer had a negative influence by impulse buying for convenience and efficiency value. 2) Imported apparel through official dealer had a negative influence by impulse buying for function and service risk. But for imported apparel through unofficial dealer, not only function and service risk but also private information risk were influenced by impulse buying. 3) All of imported apparel through official dealer and unofficial dealer had no influence by flow for convenience and efficiency value, information value, after-purchasing value. 4) All of imported apparel through official dealer and unofficial dealer were influenced by flow for function and service risk. That is to say, when consumer find satisfaction about quality of products, whether real thing or not, guarantee of quality, consumer's purchasing behavior will be enhance.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.6
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• pp.909-917
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• 2018

Recently, the Internet of Thing (IoT) technology is expanding explosively in the number of devices and applications in many application areas. In IoT systems, sensors and actuators are connected to the Internet and cooperate to do some applications by exchanging information. In this paper an IoT smart home system is developed to monitor and control home devices easily. Our system consists of sensor devices, IoT gateways, and an IoT server. Sensor devices developed using Rfduino sense the physical world and transmit their data using BLE to the IoT server thru the IoT gateway. We implemented the IoT gateway using Raspberry Pi and the IoT server using ARTIK cloud. We installed our system and made a test in our lab, which showed that our system can be installed and managed easily and extended its functionality in an easy way. By taking advantage of the rule mechanism and action messages of ARTIK cloud, we implemented the control of device parameters easily by sending action messages to the ARTIK cloud.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.49-54
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• 2016

The IoT has attracted attention as one of the technologies that are applied to various industries and create new services. The IoT can utilize existing network technologies to create services by providing Internet connection between objects. Objects Personalized services can be created by collecting various data using the IoT. In the field of agriculture, we are promoting sustainable agriculture and enhancing competitiveness through the use of the IoT, and the convergence of IoT in agriculture is pushing for smart agriculture. In Korea, the Ministry of Agriculture, Food and Rural Affairs is preparing measures to spread smart farms to improve agricultural competitiveness using IoT technology. Therefore, we propose the development model of smart agriculture in the future through the case study on the IoT based on agriculture.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1368-1373
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• 2015

Recently, There is increasing interest in the IoT(Internet of Thing) as intelligent information service that enables communication between people and things based on internet. In particular the demand for indoor location-based services with the development of smart devices is rapidly increasing. Using the RSSI signal that is provide to the BLE(Bluetooth Low Energy) for Indoor location information measurement calculates distance information between beacon and mobile terminal. However, simply using the RSSI signal to the distance measurement has a difficult to get the indoor location information due to the influence of the signal interference and the weather. In this paper, by performing an operation for obtaining a reliable distance information from the signal information of iBeacon we propose a system for providing reliable indoor location.