• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.880-881
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• 2016

디지털액자가 고전적 액자의 향취를 주며 또한 사진을 바꿀 수 있는 기능도 제공하지만 아직 새 흐름이 되는 못했다. 그 이유는 비싼 가격과 사진을 전송하기가 불편하기 때문이다. 우리는 디지털 액자로 사진 전송을 쉽게 하고, 거기에 더하여 위젯과 보안 기능을 추가하는 연구를 하였다. 사진 전송을 위하여 AWS(Amazon Web Service) 서버를 사용하는데 AWS 서버는 언제 어디서나 원할 때면 사진을 WiFi로 전송할 수 있게 한다. 이는 현재 사용하는 USB나 SD 카드를 이용하여 디지털 사진을 전송하는 것보다 훨씬 편리하다. 우리의 디지털 액자를 사용하면 다른 사람과 사진 교환이 쉽고 따라서 가족, 친구, 동료 사이의 친밀감도 쉽게 높일 수 있다.

• Journal of Satellite, Information and Communications
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• v.11 no.2
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• pp.1-7
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• 2016

In this paper, we propose contents authoring, management, and distribution technologies where the contents registered in secure storage through a content acquisition and authoring tool can be used as a common experience in smartphones, smart pads, and PCs. Currently, many people are producing and consuming various types of contents in bulk, and it is expected that real-time contents and old contents coexist as IoT(Internet of Things) technology is commonly deployed in the future. Therefore, we need to develop a differentiated service that can compete with global services in contents authoring and collaboration systems to create new markets. Accordingly, we implemented an authoring service platform to occupy cloud markets with high quality contents produced through collaboration.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.562-565
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• 2017

본 연구는 일상에서 길을 찾는 데 어려움을 겪은 보행자나 초행길을 낯선 여행자들을 대상으로, 스마트폰과 더불어 사람들이 많이 지니고 다니는 가방을 가지고 적용하였다. 스마트폰의 LBS, 블루투스 기능과 가방에 부착된 진동 인터페이스가 연결되어 실시간 경로 안내를 받을 수 있는 제품이다. 부가적인 기능으로는 앱 상에 회원관리 기능이 있어 개인의 이용 기록에 관한 데이터가 DB에 저장되며 DBMS를 통한 데이터 분석으로 사용자에게 맞춤화된 서비스를 제공해 줄 수 있다. 또한 여러 사용자들이 이용한 플랫폼에 쌓인 데이터를 가지고 새로운 비지니스를 창출할 수도 있다. 추가적으로 일정 거리 이상 멀어지면 신호의 강도가 약해지는 블루투스의 특성을 이용하여 이용자가 가방과 일정 거리 이상 떨어질 경우, 스마트폰으로 팝업 창을 띄워주는 형태로 분실 방지 기능을 제공해 줄 수도 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1169-1172
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• 2017

스마트 거울은 다양한 IT기술을 활용하여 다양한 정보를 제공해 주는 거울이다. 그러나 기존의 스마트 거울은 단순한 정보만을 제공하거나 기존 정보 시스템에 답습에 그치고 있다. 본 논문에서는 기존 스마트 거울의 기능과 함께 사용자 맞춤형 스타일링 가이드 모드를 최적화한 Iot 기반 스마트 거울 시스템을 제안한다. 제안하는 시스템의 스타일링 가이드모드는 헤어 스타일링 방법 추천과 메이크 업 방법 추천, 퍼스널 컬러를 이용한 화장품 색상 추천 등의 다양한 기능을 제공하여 거울의 본질을 극대화 할 수 있도록 한다. 제안 시스템은 스마트 거울이 갖추어야 할 날씨 정보, 대중교통 도착정보, 길찾기, 일정 관리, 사진 촬영 등의 일반적인 기능을 제공한다. 이를 바탕으로 사용자에게 새로운 스타일링의 접근성과 활용성을 높이고, 다양한 미디어 정보를 통한 정보 활용과 외출 시간을 단축하는 새로운 스마트 거울 시스템을 제안한다.

• IEMEK Journal of Embedded Systems and Applications
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• v.13 no.2
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• pp.101-107
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• 2018

As indoor pollutants such as carbon dioxide and dust mainly affect the respiratory and circulatory systems, there is an increasing need for real-time indoor / outdoor environmental monitoring. In this paper, we have developed a real - time environmental monitoring system using the cloud-based 3G integrated environmental sensor module for environmental monitoring. A highly reliable environmental information monitoring system requires various IT technologies such as infrastructure (server, commercial software, etc.), service application software, security, and authentication. A real-time environment monitoring system based on cloud service that can provide reliable service satisfying these configuration requirements is proposed and implemented. It is expected that this system can be applied to various technologies such as indoor automatic window opening/closing system based on the Internet.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.931-934
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• 2016

본 논문에서는 횡단보도의 보행자와 차량 간에 효율적인 도로 사용을 유지하면서 횡단보도 사고의 많은 부분을 차지하는 야간 횡단보도 보행자 사고를 센서, 카메라, 투광기 및 네트워크를 활용하여 사전예방하고 사고 발생 시 이를 적극적으로 추적하고 후속 조치를 취할 수 있는 시스템을 제안한다. 제안하는 시스템은 보행자가 횡단보도에 진입하였을 때 보행자에게 조명을 비추어 보다 먼 거리에서 운전자가 용이하게 식별을 할 수 있으며, 횡단보도 내 사고 발생 시 관제 센터에서 현장 정보를 수신 받아 상황에 맞춰 대응할 수 있는 환경을 제공한다.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.33 no.6
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• pp.510-514
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• 2020

Vocational education needs to be transformed to cultivate talents with diverse fusion competencies, which is in line with the recent changes that have become a part of the complex technological developments in the 4th Industrial Revolution. Therefore, it is very important for college graduates to obtain employment skills as they are required to prepare for careers within the complex environments of future societies. With the transition to the Internet of Things (IoT)-based control in the manufacturing industry, the development of technological education and related training programs is required to cultivate practical talents for students who have acquired not only the information on existing programmable logic controller (PLC)-based technology, but also that on embedded programming technology. Therefore, to develop an NCS-based education program for analog signal processing to ensure that programming can easily be learned for cultivating practical talent, this study summarizes the opinions of field experts, selects the appropriate NCS competency unit, and designs an adequate technology education training program.

• Journal of IKEEE
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• v.24 no.4
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• pp.1180-1183
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• 2020

Recently, the daily life safety detection functionalities such as fall accident detection and burn danger detection are widely disseminated along with the development of IoT and smart home. These safety detection functionalities are mostly performed by artificial intelligence. However, simple accuracy measurement of the safety detection in laboratory environment is often far from practical performance in daily life environment. To mitigate this problem, this paper introduces two techniques, i.e. living lab and confusion matrix. Living lab is more than simple simulation of daily life environment, and it enables users to directly participate technology development and product design. Various performance measures induced from confusion matrix significantly help to evaluate the performance of artificial intelligence system for proper application purposes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1849-1876
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• 2022

Wireless Sensor Network (WSN) is considered as an integral part of the Internet of Things (IoT) for collecting real-time data from the site having many applications in industry 4.0 and smart cities. The task of nodes is to sense the environment and send the relevant information over the internet. Though this task seems very straightforward but it is vulnerable to certain issues like energy consumption, delay, throughput, etc. To efficiently address these issues, this work develops a cross-layer model for the optimization between MAC and the Network layer of the OSI model for WSN. A high value of duty cycle for nodes is selected to control the delay and further enhances data transmission reliability. A node measurement prediction system based on the Kalman filter has been introduced, which uses the constraint based on covariance value to decide the scheduling scheme of the nodes. The concept of duty cycle for node scheduling is employed with a greedy data forwarding scheme. The proposed Duty Cycle-based Greedy Routing (DCGR) scheme aims to minimize the hop count, thereby mitigating the energy consumption rate. The proposed algorithm is tested using a real-world wastewater treatment dataset. The proposed method marks an 87.5% increase in the energy efficiency and reduction in the network latency by 61% when validated with other similar pre-existing schemes.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.1-8
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• 2021

With the rapid growth of intelligent devices and communication technologies, 5G network environment has become more heterogeneous and complex in terms of service management and orchestration. 5G architecture requires supportive technologies to handle the existing challenges for improving the Quality of Service (QoS) and the Quality of Experience (QoE) performances. Among many challenges, traffic steering is one of the key elements which requires critically developing an optimal solution for smart guidance, control, and reliable system. Mobile edge computing (MEC), software-defined networking (SDN), network functions virtualization (NFV), and deep learning (DL) play essential roles to complementary develop a flexible computation and extensible flow rules management in this potential aspect. In this proposed system, an accurate flow recommendation, a centralized control, and a reliable distributed connectivity based on the inspection of packet condition are provided. With the system deployment, the packet is classified separately and recommended to request from the optimal destination with matched preferences and conditions. To evaluate the proposed scheme outperformance, a network simulator software was used to conduct and capture the end-to-end QoS performance metrics. SDN flow rules installation was experimented to illustrate the post control function corresponding to DL-based output. The intelligent steering for network communication traffic is cooperatively configured in SDN controller and NFV-orchestrator to lead a variety of beneficial factors for improving massive real-time Internet of Things (IoT) performance.