• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.65-72
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• 2020

The Internet of Things(IoT) is to build a hyper-connected society through interconnection, and on this basis, to improve the quality of life and productivity, including solving social problems, and to become the next growth engine for the nation. The open common eco-system pursued by the IoT can start with the under- standing of the word 'open'. The IoT can achieve the expected effect of lowering the barriers to entry of technology development, and in these changes, OSSW and OSHW play a very important role in accelerating IoT eco-system maturity and breaking the boundaries between industries to promote convergence. Recently, it has developed into an intelligent IoT that combines artificial intelligence (AI) with the connectivity of the IoT. Here, I will analyze the direction of development of the IoT through understanding and analysis of open source.

• Journal of Internet of Things and Convergence
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• v.6 no.3
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• pp.7-13
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• 2020

In this paper, we propose a system that monitors and controls the environment of a server room in real-time based on IoT. Recently, as the information society has been maximized, the damage has been significant when the computer system is down. In particular, damage such as a fire in the server room leads to loss of data and data recovery becomes impossible. In order to reduce such damage, a node capable of real-time monitoring using an IoT system was proposed. In addition, we proposed a coordinator node that can collect and monitor node information. In order to verify that the proposed system works, we have developed software that can control node monitoring and air conditioning. As a result of the experiment, we confirmed that the proposed system detects fire and controls the air conditioner.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.725-726
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• 2017

Recently, IoT (Internet of Things) has been applied to various fields, not limited to places, through continuous research. However, the existing IoT system is based on the surrounding environment rather than the user-oriented operation of the device. therefore, there is a problem in that the efficiency and accuracy of the work are low. In this paper, we propose a user remote control analysis algorithm to solve these problems. When the user performs the remote control, the command is collected and the data is sorted according to the device and time. Analyze time-dependent behavior of devices based on sorted data. based on the results of the analysis, the environment is controlled by operating the device inside the home. Therefore, it is expected that the accuracy and convenience of device operation will be increased by providing customized service to users.

• Journal of the Korean Society of Safety
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• v.37 no.2
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• pp.97-105
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• 2022

Human casualties from fires are increasing worldwide. The majority of human deaths occur during the evacuation process, as occupants panic and are unaware of the location of the fire and evacuation routes. Using an Internet of Things (IoT) sensor and reinforcement learning, we propose a method to find the safest evacuation route by considering the fire location, flame speed, occupant position, and walking conditions. The first step is detecting the fire with IoT-based devices. The second step is identifying the occupant's position via a beacon connected to the occupant's mobile phone. In the third step, the collected information, flame speed, and walking conditions are input into the reinforcement learning model to derive the optimal evacuation route. This study makes it possible to provide the safest evacuation route for individual occupants in real time. This study is expected to reduce human casualties caused by fires.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.89-100
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• 2024

Integrating advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data is transforming elderly care services, particularly in nursing homes. This study explores the impact of these technologies on the quality of care in nursing homes in Tongling City, China. Using a mixed-methods approach, data were collected from 298 elderly residents across 12 nursing homes through detailed surveys and interviews. The findings indicate that smart platforms and intelligent terminals significantly enhance service quality, with institutional conditions and social participation emerging as the most influential factors. Although the study's regional focus may limit the generalizability of the findings, it introduces novel applications of AI in dietary management and IoT in personalized environmental monitoring, which contribute original insights to the broader field of smart elderly care. These results underscore the transformative potential of advanced technologies in improving elderly care and offer a model that can be adapted to similar contexts globally. Future research should focus on longitudinal studies to assess the long-term impact of these technologies and explore their applicability in diverse cultural and regional settings.

• Journal of Internet of Things and Convergence
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• v.6 no.3
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• pp.45-52
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• 2020

In the paper, we propose a system that measures various agricultural parameters that affect crop yield and monitors location information. According to an analysis by international organizations, 60% of the world's population lives on agriculture. In addition, 11% of the world's soil is used for growing crops. For this reason, agriculture plays an important role in national development. If a problem occurs in agriculture due to weather or environmental problems, it can be a problem for national development. In order to solve these problems, it is important to modernize agriculture using modern IoT technology. It is possible to improve the agricultural environment by applying IoT technology in agriculture to build a smart environment. Through such a smart environment, it is possible to increase the yield of agricultural products, reduce water waste, and prevent overuse of fertilizers. In order to verify the proposed system, an experiment was performed in a soybean cultivation farm. Experimental results showed that using the proposed system, the moisture in the cultivated soil can be automatically maintained at 40%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.285-287
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• 2014

This paper describes a design of area-efficient/low-power cryptographic processor for lightweight block cipher algorithm HIGHT which was approved as a cryptographic standard by KATS and ISO/IEC. The HIGHT algorithm which is suitable for the security of IoT(Internet of Things), encrypts a 64-bit plain text with a 128-bit cipher key to make a 64-bit cipher text, and vice versa. For area-efficient and low-power implementation, we adopt 32-bit data path and optimize round transform block and key scheduler to share hardware resources for encryption and decryption.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.11
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• pp.291-296
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• 2021

The development of the Internet of Things(IoT) requires large computational resources for tasks from numerous devices. Mobile Edge Computing(MEC) has attracted a lot of attention in the IoT environment because it provides computational resources geographically close to the devices. Task offloading to MEC servers is efficient for devices with limited battery life and computational capability. In this paper, we assumed an industrial IoT environment requiring high reliability. The complexity of optimization problem in industrial IoT environment with many devices and multiple MEC servers is very high. To solve this problem, the problem is divided into two. After selecting the MEC server considering the queue status of the MEC server, we propose an offloading decision algorithm that optimizes reliability and energy consumption using genetic algorithm. Through experiments, we analyze the performance of the proposed algorithm in terms of energy consumption and reliability.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.33-35
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• 2016

손 제스처는 스마트 글라스 등 웨어러블 기기의 NUI(Natural User Interface)를 구현하기 위한 수단으로 각광받고 있다. 최근 MPEG 에서는 IoT(Internet of Things) 및 웨어러블 환경에서의 미디어 소비를 지원하기 위한 IoMTW(Internet of Media-Things and Wearables) 표준화를 진행하고 있다. 본 논문에서는 손 제스처를 웨어러블 기기의 NUI 로 사용하여 웨어러블 기기 제어 및 미디어 소비를 제어하기 위한 손 제스처 검출과 인식 기법를 제시한다. 제시된 기법은 스테레오 영상으로부터 깊이 정보와 색 정보를 이용하여 손 윤곽선을 검출하여 이를 베지어(Bezier) 곡선으로 표현하고, 표현된 손 윤곽선으로부터 손가락 수 등의 특징을 바탕으로 제스처를 인식한다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.1
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• pp.47-54
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• 2022

All things connected to the Internet have to ensure interoperability between each other. Web of Things (WoT) is an Internet of Things (IoT) Web standard technology that enables the communication between smart devices and web-based applications. In order for WoT to be possible, monitoring of all devices connected to the Internet have to be possible. To this end, various efforts are being made to develop network monitoring applications using the latest Web front-end frameworks, not traditional web-based monitoring. This paper examines and describes the possibilities of applying Web front-end frameworks such as React, Angular and Svelte to the development of network monitoring applications for WoT. This paper also describes the pros and cons of two major frameworks, React and Angular, in developing monitoring applications that support the cross-platforms and cross-browsers in WoT environments and examines the applicability of them by developing simple network monitoring applications using React.