• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.73-74
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• 2015

IoT의 발달로 인해 새롭게 빅데이터와 그의 실시간 처리의 중요성이 증대되고 있다. 본 논문에서는 사물인터넷의 관제 및 데이터 처리 기능을 갖춘 SmartX-mini 센터를 통하여 NUC 클러스터의 빅데이터 처리 가능성을 제시하고, 이를 검증하기 위하여 SmartX-mini 테스트베드를 활용한다. SmartX-mini Center의 Spark 프레임워크를 이용한 실험을 통해 IoT 환경에서의 NUC 클러스터의 빅데이터 처리 가능에 대한 가능성을 검증하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.407-408
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• 2017

본 논문에서는 기존의 비데와 인체 정보 수집 센서류를 결합한 IoT기반의 스마트 비데를 위해 생체 측정 데이터를 효과적으로 관리하고 사용자들의 사용 편의성을 증가시키는 모바일 기반 어플을 설계한다. 제시하는 모바일 어플은 스마트 비데의 체온센서, 산소포화도센서, 압력센서를 통해 수집된 사용자의 생체정보를 블루투스 기반 통신을 통해 실시간으로 생체신호를 수집 및 디스플레이 하며, 특정 기간의 데이터 통계를 통해 생체 정보의 이력을 사용자에게 효과적으로 제공함으로써 각종 질병 예방에 기여할 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.177-178
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• 2015

본 연구에서는 사회적 문제인 맞벌이 부부가 증가함에 따라 아동범죄 및 생계형 범죄로부터 사용자의 안전의 보장과 기존의 디지털 도어락의 문제점을 보완하고자 IoT기술과 STT를 이용하여 사용자에게 안정성을 제공하여 주며, 동시에 편리성을 제공하고자 본 시스템으로 하여금 이와 같은 문제를 해결하여 줄 수 있게 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.818-821
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• 2020

The artificial intelligence software market is developing in various fields world widely. In particular, there is a wide variety of applications for image recognition technology using deep learning. This study intends to apply image recognition technology to the 'Home Gardening' market growing rapidly due to COVID-19, and aims to build a small-scale smart farm in the house using artificial intelligence and IoT technology for convenient crop cultivation for busy people living in cities. This intelligent farm system includes an automatic image recognition function and recommendation function based on temperature and humidity sensor-based indoor environment analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.1071-1073
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• 2022

본 논문은 항만 완전 자동화를 위하여, 자율주행 트랙터와 스마트 신호등을 도입한 IoT 기반 스마트 항만 교통제어 시스템을 메타버스를 통해 제안한다.

• Journal of the Society of Disaster Information
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• v.20 no.1
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• pp.106-116
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• 2024

Purpose: This paper conducts IoT and CCTV-based safety monitoring to analyze accidents and potential risks occurring at construction sites, and detect and analyze risks such as falls and collisions or abnormalities and to establish a system for early warning using devices like a walkie-talkie and chatbot service. Method: A safety management service model is presented through smart construction technology case studies at the construction site and review a relevant literature analysis. Result: According to 'Construction Accident Statistics,' in 2021, there were 26,888 casualties in the construction industry, accounting for 26.3% of all reported accidents. Fatalities in construction-related accidents amounted to 417 individuals, representing 50.5% of all industrial accident-related deaths. This study suggests implementing AI chatbot services for construction site safety management utilizing IoT-based health monitoring technologies in smart construction practices. Construction sites where stakeholders such as workers participate were demonstrated by implementing an artificial intelligence chatbot system by selecting major risk areas within the workplace, such as scaffolding processes, openings, and access to hazardous machinery. Conclusion: The possibility of commercialization was confirmed by receiving more than 90 points in the satisfaction survey of participating workers regarding the empirical results of the artificial intelligence chatbot service at construction sites.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.20-25
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• 2021

In the background of the rapid development of the IoT, smart home work is becoming more and more important to each science and technology company. Smart home provides a safe, comfortable, high-quality, high-performance smart home living space compared to general homes, and at the same time It is responding to the low-carbon, eco-friendly global trend. Growth drivers driving the smart home market are increasing the number of Internet users, increasing disposable income in developing countries, increasing the importance of remote home monitoring, and increasing the need for energy saving and low carbon. In 2013-2014, Xiaomi launched a series of smart routers and smart home hardware devices. In 2015, it announced the latest product of the Xiaomi Ecological Chain, the "Smart Home Package," and in 2016 launched the MIJIA brand to invest in various smart product companies. In 2017, Xiaomi announced a plan to build an open smart hardware MIOT platform. We investigated the management strategy of Xiaomi home smart service based on IOT. The management strategy was divided into cost lead strategy, differentiation strategy of Xiaomi home service, and AIOT strategy of Xiaomi smart home.

• Convergence Security Journal
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• v.16 no.7
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• pp.121-127
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• 2016

Recently, the popularity of smart devices such as Wi-Fi and LTE has increased the use ratio of wireless dramatically. On the other hand, the use ratio of wired internet is decreasing. The IoT(Internet of Things) is not only for people but also for communication between people and things, and communication between things and things by connecting to a wireless without choosing a place. Along with the rapid spread of the IoT there is a growing concern about the threat of IoT security. In this paper, the proposed scheme is a efficiency group key agreement in IoT environment that guarantees secure communication among light-weight devices. The proposed scheme securely be able to communication with the group devices who share a group key, generated by own secret value and the public value. Such property is suitable to the environment which are required a local area and a group.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.24-28
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• 2017

In the Internet of Things (IoT), resource-limited smart devices communicate with each other while performing sensing and computation tasks. Thus, these devices can be exposed to various attacks being launched and spread through network. For instance, attacker can reuse the codes of IoT devices for malicious activity executions. In the sense that attacker can craft malicious codes by skillfully reusing codes stored in IoT devices, code-reuse attacks are generally considered to be dangerous. Although a variety of schemes have been proposed to defend against code-reuse attacks, code randomization is regarded as a representative defense technique against code-reuse attacks. Indeed, many research have been done on code randomization technique, however, there are little work on analysis of the interactions between code randomization defenses and code-reuse attacks although it is imperative problem to be explored. To provide the better understanding of these interactions in IoT, we analyze how code randomization defends against code-reuse attacks in IoT and perform simulation on it. Both analysis and simulation results show that the more frequently code randomizations occur, the less frequently code-reuse attacks succeed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.744-747
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• 2017

The Internet of things (IoT) needs to be an event-driven approach for efficient real time response and processing. An IoT gateway is sometimes employed to provide the connection and translation between devices and the cloud. Storing data in the local database, and then forwarding it on the cloud is a task to be relegated to a gateway device In this paper, we propose the design of the IoT gateway with Fog computing for storing data from sensors into a local database. In the procedure of designing storing tasks, we propose to use the interfacing software known as Ardulink MQTT bridge. MQTT is a protocol for sensors to publish data to the clients. When it comes to needing historical data, MQTT connector can push MQTT data into SQL database. We write an MQTT client and based on the message topic insert the values into a SQL Database The design of IoT gateway with Fog computing adds value because it provides processing of the data across multiple devices before it sends to the cloud.