• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.37-44
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• 2023

As a primary technology of Industry 4.0, human-robot collaboration (HRC) requires additional measures to ensure worker safety. Previous studies on avoiding collisions between collaborative robots and workers mainly detect collisions based on sensors and cameras attached to the robot. This method requires complex algorithms to continuously track robots, people, and objects and has the disadvantage of not being able to respond quickly to changes in the work environment. The present study was conducted to implement a web-based platform that manages collaborative robots by recognizing the emotions of workers - specifically their perception of danger - in the collaborative process. To this end, we developed a web-based application that collects and stores emotion-related brain waves via a wearable device; a deep-learning model that extracts and classifies the characteristics of neutral, positive, and negative emotions; and an Internet-of-things (IoT) interface program that controls motor operation according to classified emotions. We conducted a comparative analysis of our system's performance using a public open dataset and a dataset collected through actual measurement, achieving validation accuracies of 96.8% and 70.7%, respectively.

• Information and Communications Magazine
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• v.33 no.8
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• pp.19-27
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• 2016

최근 들어 로봇 기술은 팔과 다리가 달린 인간형 로봇 휴머노이드(Humanoid)와 같이 겉모습뿐만 아니라 히노애락(喜怒哀樂)과 같은 인간의 감정을 흉내 내는 지능형 감성로봇(Emotional robot)으로 진화하고 있으며, 사물인터넷(Internet of things, IoT), 빅데이터(Big data) 및 인공지능(Artificial intelligence, AI) 기술까지 융합하는 연구가 진행되고 있다. 이러한 기술 발전을 기반으로 로봇산업은 전통적인 제조업뿐만 아니라 의료, 실버, 국방, 건설, 생활가전, 물류, 드론 등 다양한 분야에서 활용이 가능하며, 또한 교육, 문화, 예술에도 접목을 할 수 있어 넓은 분야에서 발전 가능성이 매우 큰 산업이다. 본 논문에서는 인간과 교감하는 감성로봇의 개념과 주요 기술을 소개한다. 아울러, 최근까지 연구 개발되었거나 제품으로 출시되었던 감성로봇 사례를 소개하고 향후 전망에 대해서 논의한다.

• TTA Journal
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• s.170
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• pp.66-67
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• 2017

4차 산업혁명 시대가 빠르게 다가오고 있다. 사물인터넷(IoT)과 인공지능(AI), 자율주행 자동차, 로봇, 드론, 스마트 홈 등이 그것. 4차 산업혁명의 핵심 기술 중 하나는 지능형 첨단센서다. 이 '똑똑한' 센서들 없이는 인공지능도 사물인터넷도 불가능했을 것이다. 첨단 센서 기술이 4차 산업혁명의 기폭제 역할을 하는 셈이다.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.129-136
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• 2018

This study analyzed technology application field and technology transfer type related to the 4th industrial revolution using frequency, visualization, and association analysis of text mining of Big Data. The analysis was conducted between the last three years (2015 - 2017) registered with the NTB of KIAT transfer technology database was utilized. As a result of analysis, First, First, transfer technologies called core technologies of the Fourth Industrial Revolution are a lot of about robots, 3D, autonomous driving, and wearables. Second, as the year go by, transfer technolgy registration such as IoT, Cloud, VR is increasing. Third, the results of the association analysis of technology transfer type are as follows. IoT and VR showed preference for technology trading and licensing, autonomous driving technology trading, wearable licensing, robots preferring technology cooperation, licensing, and technology trading.

• Journal of IKEEE
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• v.22 no.1
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• pp.216-222
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• 2018

Long-range wireless power transmission technology goes beyond mere cell phones and small appliances, and is the core technology of 4'th industrial revolution such as robot, electric car, and IoT sensor network. In this paper, we will explore the evolution of long-range wireless power transmission technologies that have already become commercially available, with rapid advances in technology, beyond the traditional short-range technology that has become technologically common. Through this, it is intended to check the domestic research level and progress by identifying core technologies and technical challenge.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.55-57
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• 2018

In Simultaneous Localization and Mapping (SLAM), the robot acquire its map of environment while simultaneously localize itself relative to the map. Now a day, a map acquired by the mobile robots limit to specific area, in an indoor environment and cannot able to navigate autonomous between different floors. We propose a design that could able to overcome this issue in order to navigate multiple floors with one end goal mission to a target destination in the course of autonomous navigation. In this research, we consider all the floors have identical structural arrangement. Internet of Things (IoT) playing crucial role in bridging between "things" and Robot Operating System (ROS) enabled mobile robots.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.581-583
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• 2022

본 논문에서는 무인 로봇 스마트 더스트(Smart Dust)의 사례연구를 통하여 재난, 재해 등 불확실한 상황에서 실시간 정보제공 등 기능에 대한 활용 사례를 살펴보고 전장에서 활용할 수 있는 방법으로 처리 프로세스를 수정 연구한다. 스마트 더스트 기술은 인공지능(AI)과 사물인터넷(IoT) 기술이 적용된 1mm³ 이하 크기의 센서이며, 전시 및 재난 등의 위급상황에서 다양한 용도로 적용 및 전략수립에 활용될 수 있다. 본 연구를 통하여 전장 및 재해 상황에서의 위기대응에 효율성을 증대할 수 있을 것으로 사료된다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.172-177
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• 2023

The main purpose of the research was to review the global trends of airport's smart security technologies. Moreover, using the case studies of airport using smart security, this paper tried to propose the implication how the findings through the case studies may be important for airport policy and will impact the future research of airport operation. It is expected in the future the aviation security technology with biometric information evolves from single identification to multiple identification technology which has combined application of iris, vein and others. Facing post COVID-19 era, the number of passengers traveling through airports continues increase dramatically and the risks as well, the role of AI becomes even more crucial. With AI based automated security robotics airport operators could effectively handle the growing passenger and cargo volume and address the associated issues Smart CCTV analysis with A.I. and IoT applying solutions could also provide significant support for airport security.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.503-508
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• 2019

In recent years, among the IoT products that are used in various ways in everyday life, motorized products are increasing. This study aims to develop a microcontroller unit that can easily control multiple motors and develop an application that makes use of this microcontroller unit. The basis of the hardware developed by the research was the Arduino board, and to it, the Bluetooth module, Zigbee module, and a motor driver were connected. To control the device, an application was designed. The final microcontroller unit and its application may be applied to electric curtains, electric blinds, robots, and other various IoT products. Further research will lead to hardware development that can control various types of motors other than stepping motors.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.169-177
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• 2024

Industrial Wireless Sensor Network (IWSN) is a key feature of Industrial IoT that enables industrial automation through process monitoring and control by connecting industrial equipment such as sensors, robots, and machines wirelessly, and must support the strict requirements of modern industrial environments such as real-time, reliability, and energy efficiency. To achieve these goals, IWSN uses reliable communication methods such as multipath routing, fixed redundant resource allocation, and non-contention-based scheduling. However, the issue of wasting redundant resources that are not utilized for communication degrades not only the efficiency of limited radio resources but also the energy efficiency. In this paper, we propose a scheme that utilizes reinforcement learning in communication scheduling to periodically identify unused wireless resources and reallocate them to save energy consumption of the entire industrial network. The experimental performance evaluation shows that the proposed approach achieves about 30% improvement of resource efficiency in scheduling compared to the existing method while supporting high reliability. In addition, the energy efficiency and latency are improbed by more than 21% and 38%, respectively, by reducing unnecessary communication.