• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1053-1059
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• 2021

In order to realize a smart home, a new type of service that converges the two technologies is required as a method to overcome the respective limitations of augmented reality and IoT technologies. Augmented reality recognizes objects and projects augmented content with the recognized objects on the screen. This technology mainly uses image processing methods such as markers as a method for recognizing objects. In this paper, an augmented reality-based IoT control platform using markers was developed. By defining a marker unique to the object, a unique identifier displayed on the camera was distinguished. A smart home system was implemented by calling a controller to control things. The proposed system receives state information of objects through symptom reality and transmits control commands. The proposed platform was verified by manipulating household lights.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.127-140
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• 2022

With the recent development of the ICT (information and communication technology), the revolution of the industry has moved on from the third industry to the fourth. There is no doubt that the companies would not survive in the future without adopting these technologies. The purpose of this research is to analyze the intellectual structure of the internet of things(IoT) literature for the Industry 4.0 to suggest a better insight for the field. The data for this research is extracted from the Web of Science database. Total of 1,631 documents and 72,754 references are used for the research with the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure and performed clustering, timeline and burst detection analysis. We identified 12 sub-areas of IoT for the Industry 4.0 which are 'Supply Chain', 'Digital Twin', 'Smart Manufacturing System' and etc. Through the timeline analysis we can find out which clusters will increase or decrease its reputation. As concluding remarks, limitations and further research suggestions are discussed.

• Smart Media Journal
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• v.11 no.2
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• pp.70-76
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• 2022

IoT application development using a cloud server causes problems such as data transmission and reception delay, network traffic, and cost for real-time processing support in network connected hardware. To solve this problem, edge cloud-based platforms can use neuromorphic hardware to enable fast data transfer. In this paper, we propose a model optimization method for supporting spiking neural networks on FPGA hardware. We focused on auto-adjusting network model parameters optimized for neuromorphic hardware. The proposed method performs optimization to show higher performance based on user requirements for accuracy. As a result of performance analysis, it satisfies all requirements of accuracy and showed higher performance in terms of expected execution time, unlike the naive method supported by the existing open source framework.

• Journal of Information Technology Services
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• v.19 no.4
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• pp.85-107
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• 2020

The Internet of Things market, a technology that connects the Internet to various things, is growing day by day. Besides, various smart home services using IoT and AI (Artificial Intelligence) are being launched in homes. Related to this, existing smart home-related studies focus primarily on ICT technology, not on what service improvements should be made in customer positions. In this study, we will use smart home application customer review data to classify functional and design elements of smart home usability value and examine the ways customers think of service improvement. For this, LG Electronics and Samsung Electronics" Smart Home application, the main provider of Smart Home in Korea, customer reviews were crawled to conduct a comparative analysis between them. In this study, the review of IoT home-applications was analyzed to find service improvement insights from customer perspective, and related analysis of text mining, social network analysis and Doc2vec was used to efficiently analyze data equivalent to about 16,000 user reviews. Through this research, we hope that related companies effectively seek ways to improve smart home services that reflect customer needs and are expected to help them establish competitive strategies by identifying weaknesses and strengths among competitors.

• Journal of the Society of Disaster Information
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• v.15 no.1
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• pp.39-48
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• 2019

Purpose: This study aims at developing and implementing Smart Safety Management System based on IoT/ICT Convergence for safety of high-risk groups working at disaster or industrial field. Its functions are as follows. Method: We will develop three devices for keeping the safety of high-risk jobs: Sensor of inactivity, Lora based Refitting technology for communication between high-risk workers, and Lora Gateway for monitoring entire situations. Then we will test three devices in respect of their functions, and propose their applicabilities in the field. Results: The system can send and receive safety tags and danger signals by which sensor technology can detect dangerous state of workers. And its command terminal was developed by low-power wireless communication technology and LoRa Gateway, which can fulfill the lifting functions between safety tags. And, furthermore, the command terminal can monitor dangerous situations of disaster sites in real time and can perform the preemptive rescues. Conclusion: This study proves the functional efficacy of Smart Safety Management System for worker safety in various high-risk occupational groups, and also suggests ways to secure worker safety in disaster area and various high risk industrial sites.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.10
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• pp.499-508
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• 2016

According to spreading K-pop globally, the market size related to K-pop stars is increasingly growing at home and abroad. Recently, services and products having direct interaction with the star are emerging. This research aims to propose a new service using a smart, connected social robotic figure that can support interaction between fans and K-pop stars. For this study, we begin by exploring literature about K-pop culture. Also, we investigate cases that connect between fans and stars and then build the development directions for a new service. Based on these development directions, we extract feasible technology and its interaction elements through analysing the cases of social robots. Finally, we propose the social robotic figure service in this research. This service proposed in this study can create and enhance diverse bidirectional communication between fans and stars through employing a user-customized, smart, connected figure based on a IoT platform. This research contributes to approaches for sustainable advance of K-pop through applying IoT technology.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.55-60
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• 2020

This study aims to apply Arduino and 3D printing technology considered as a key subject in the age of 4th industrial revolution which is a step 1 for customizing and applying the process of production by chemical molding companies producing environment-friendly biodegradable packaging materials to the 3D printing teaching in universities. Step 3 is applied to IoT for Arduino application, and 3D printing technology is also used on the basis of teaching creative integrated human resource. Integration of Arduino with 3D printers is based on the assumption that middle- and high-school students can learn it step by step to higher levels and university students majoring or not majoring in computing science can also have computing skills for solving 3D printing-based problems. For IoT application in this study, the 3D printing technology is applied to the external shape of products for producing an Arduino-based lighting fixture. The applied 3D printing technology is further extended to teaching modeling of producing packaging materials by chemical product molding companies in the age of 4th industrial revolution.

• IEMEK Journal of Embedded Systems and Applications
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• v.13 no.1
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• pp.25-32
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• 2018

In this paper, we present a proposed monitoring system for smart factories with several aspects, including information gathering, analysis, control, and display that relate to concurrently operation processes in the factory area. This paper proposes a monitoring and management system for industrial automation. In particular, it uses an Internet of Thing (IoT) device with a data protocol unit to convert the industrial protocols and transfer the information on various parameters. In the case of data communication, the proposed monitoring system is designed to support users to remotely manage with the cloud server by implementing conversion between Modbus RTU and Modbus TCP of protocol communications. The proposed communication technique has been verified by experiments.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.144-144
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• 2017

쌈 채소 생산 및 유통의 효율성, 생산성 개선으로 경쟁력 향상을 위해 IoT 기반 스마트 저울과 쌈 채소전용 포장용 가이드를 개발 융합하여 안전하고 빠른 포장, 이동성 개선, 포장과 무게측정 동시 진행 및 출하량 자동측정으로 작업공정개선을 통해 최종적으로 생산성을 향상시킬 수 있는 제품을 개발하고자 한다. 1) 쌈 채소 포장용 가이드를 포함한 실시간 포장 무게 측정 장치 개발 ${\circ}$ 포장 박스와 관계없이 용이하게 사용할 수 있는 쌈 채소 포장용 가이드 개발 ${\circ}$ 실시간 포장 무게를 측정하여 출하 무게에 도달하였을 때 생산담당자에게 부저를 통해 신호전달 2) 생산패턴 분석을 통한 생산관리 애플리케이션 개발 ${\circ}$ 생산 패턴을 파악하여 실시간 생산량을 BLE 통신을 통해 관리자 스마트 폰으로 통지 ${\circ}$ 포장용 지그, 스마트 스케일, 이동체 1식으로 구성하여 용이하게 하우스 이동 3) 센서 디바이스 개발 ${\circ}$ 각종 센서(온도, 습도, 조도 등)의 디바이스를 활용하여 주위환경 데이터 수집 ${\circ}$ 스마트 폰 등을 활용한 콘텐츠 개발 및 노동복지 환경조성(작업환경 개선)

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.109-112
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• 2020

Many devices are connected on the internet to give functionalities for interconnected services. In 2020', The number of devices connected to the internet will be reached 5.8 billion. Moreover, many connected service provider such as Google and Amazon, suggests edge computing and mesh networks to cope with this situation which the many devices completely connected on their networks. This paper introduces the current state of the introduction of the wireless mesh network and edge cloud in order to efficiently manage a large number of nodes in the exploding Internet of Things (IoT) network and introduces the existing Network Time Protocol (NTP). On the basis of this, we propose a relatively accurate time synchronization method, especially in heterogeneous mesh networks. Using this NTP, multiple time coordinators can be placed in a mesh network to find the delay error using the average delay time and the delay time of the time coordinator. Therefore, accurate time can be synchronized when implementing IoT, remote metering, and real-time media streaming using IoT mesh network.