• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.69-76
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• 2015

Bluetooth 4.0 is a low energy near communication technology. It is a suitable for Internet of Things(IoT), that is, all devices using small electric power consume are connected because power consumption is more lowing and brodening for application scope against bluetooh 3.0. Therefore in this paper, a present situation of beacon technologies are investigated and a design principle of restaurant advertisement and order system using beacon technology are presented. A beacon which is tranceiver based on bluetooth 4.0 technology and bluetooth 4.0 receiver device design is showed and design method of smart-phone interlocking these devices is presented. Also it shows that this design method is very useful for the Restaurant Advertisement & Order Commercial System production.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.137-142
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• 2017

In this paper, we propose proposed mobile wagering platform technology, where the buying lottery contents registered in secure storage through lottery technology can be used as a common experience in smartphones, smart pads, and PCs, etc. 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 lottery contents authoring and collaboration systems to create new markets. Accordingly, we implemented an wagering service platform to occupy cloud markets with high quality lottery contents produced through collaboration.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.623-643
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• 2017

최근 인공지능 기술이 발달하면서 챗봇이 글로벌 IT기업들에게 새로운 IoT플랫폼으로 주목받고 있다. 챗봇이란 대화형 인터페이스 상에서 규칙 또는 인공지능(AI)을 이용해 사용자와 상호작용(interaction)을 하는 서비스를 지칭한다. 챗봇은 현재 간단한 정보검색 및 가상비서 서비스를 제공하는 수준이지만, 향후 IoT와 O2O 영역의 핵심적인 인공지능 플랫폼으로 부상할 전망이다. 챗봇은 스마트폰 디바이스와 어플리케이션을 기반으로 빠르게 확산되어 핵심 플랫폼의 지위를 차지할 것으로 예상된다. 그러나 챗봇 사용자의 수용행태에 관한 학술적 연구는 미비한 상황이다. 이에 본 연구는 기존의 기술수용이론(TAM)보다 수용의도에 대한 설명력이 높다고 검증된 통합기술수용이론(UTAUT)을 적용하여 챗봇의 사용자 수용행동에 관한 모델을 구축하였다. 구체적으로, 수용의도의 결정요인인 성과기대, 예상노력, 사회적영향, 촉진조건이 수용의도에 긍정적인 영향을 미칠 것으로 예상하였다. 이 과정에서 수용의도 결정요인과 수용의도 간의 관계를 성별, 연령, 개인혁신성이 조절할 것으로 보았다. 본 연구는 챗봇의 수용에 영향을 미치는 결정요인과 조절변인의 효과를 검증하여 실무적 시사점을 제공하고자 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.137-142
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• 2017

Recently, along with the development of IoT technology, technologies for wirelessly sensing various data, such as sensor nodes, RFID, CCTV, smart phones, etc., have rapidly developed, and in the field of multiple applications, to utilize sensor network related technology Have been actively pursued in various fields. Therefore, as GeoSensor utilization increases, query processing systems for efficiently processing 2D data such as spatial sensor data are actively researched. However, existing spatial query processing systems do not support a spatial-temporal data type and a spatial-temporal operator for processing spatial-temporal sensor data. Therefore, they are inadequate for processing spatial-temporal sensor data like GeoSensor. Accordingly, this paper developed a spatial-temporal query processing system, for efficient spatial-temporal query processing of spatial-temporal sensor data in a sensor network.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.241-243
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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. If iBeacon of BLE(Bluetooth Low Energy) is made available to provide a basic signal for the indoor location information measurement then reliability of Indoor location information for unreliable signal data for a variety of reasons, such as signal interference is significantly lowered. In this paper, Proposes a technique for obtaining an effective and reliable location information via genetic operations in order to obtain reliable location information from the iBeacon signal information.

• 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.

• 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.34 no.6
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• pp.475-479
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• 2021

There are many difficulties in the applications of smart manufacturing technology in the era of the 4th industrial revolution. In this paper, a test bed was built to aim for acquiring smart manufacturing technology, and the test bed was designed to acquire basic technologies necessary for PLC (Programmable Logic Controller), HMI, Internet of Things (IoT), artificial intelligence (AI) and big data. By building a vehicle maintenance lift that can be easily accessed by the general public, PLC control technology and HMI drawing technology can be acquired, and by using cloud services, workers can respond to emergencies and alarms regardless of time and space. In addition, by managing and monitoring data for smart manufacturing, it is possible to acquire basic technologies necessary for embedded systems, the Internet of Things, artificial intelligence, and big data. It is expected that the improvement of smart manufacturing technology capability according to the results of this study will contribute to the effect of creating added value according to the applications of smart manufacturing technology in the future.

• 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.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.3
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• pp.167-175
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• 2022

With the recent expansion of electric kickboards and bicycle sharing services, more and more people use them. In addition, the rapid growth of the delivery business due to the COVID-19 has significantly increased the use of two-wheeled vehicles and personal mobility. As the accident rate increases, the rule related to the two-wheeled vehicles is changed to 'mandatory helmets for kickboards and single-person transportation' and was revised to prevent boarding itself without driver's license. In this paper, we propose a wearable smart safety equipment, called SafetyHelmet, that can keep helmet-wearing duty and lower the accident rate with the communication between helmets and mobile devices. To make this function available, we propose a safe driving assistance function by notifying the driver when an object that interferes with driving such as persons or other vehicles are detected by applying the YOLO v5 object detection algorithm. Therefore it is intended to provide a safer driving assistance by reducing the failure rate to identify dangers while driving single-person transportation.