• Smart Structures and Systems
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• v.30 no.6
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• pp.583-599
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• 2022

In this paper, a multi-objective wireless sensor network configuration optimization method is proposed. The proposed method aims to determine the optimal information and lifespan wireless sensor network for structural health monitoring of large-scale infrastructures. In particular, cluster-based wireless sensor networks with multi-type of sensors are considered. To optimize the lifetime of the wireless sensor network, a cluster-based network optimization algorithm that optimizes the arrangement of cluster heads and base station is developed. On the other hand, based on the Bayesian inference, the uncertainty of the estimated parameters can be quantified. The coefficient of variance of the estimated parameters can be obtained, which is utilized as a holistic measure to evaluate the estimation accuracy of sensor configurations with multi-type of sensors. The proposed method provides the optimal wireless sensor network configuration that satisfies the required estimation accuracy with the longest lifetime. The proposed method is illustrated by designing the optimal wireless sensor network configuration of a cable-stayed bridge and a space truss.

• Smart Media Journal
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• v.4 no.3
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• pp.62-67
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• 2015

The trend keywords in ICT sector will be Big Data, Internet of Things, and Cloud Computing. The rear end to support those techniques requires a large-capacity storage technology of low-cost. Therefore, we proposed the prototype of low-cost and mass distributed storage system based on PC using open-source Ceph FS for SMB.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.1-5
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• 2019

Looking at the surrounding environment in which we live, we are facing various situations in which new industries are emerging under the influence of ICT and at the same time, existing industries are combined with ICT technology. In addition, the network environment foretells a change from 4G to 5G. One of the things that is actively discussed during this 5G era is the smart factory. Faster transmission speeds are essential for the use of numerous data generated by various sensors used in smart factories. This study deals with smart factory technologies related to the 5G era. In addition to the various interpretations of smart factories, this study examined the situation and progress of smart factories in major countries around the world and described solutions.

• KIISE Transactions on Computing Practices
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• v.22 no.12
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• pp.687-692
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• 2016

The advent of Internet of Things(IoT) has increased the need for development of smart life based on Information and Communication Technology(ICT). By using IoT technology, we are able to control connected appliances using smart devices, such as smart phone. To support the smart life, there is a need to utilize emotion information for human behavior, based on both biorhythm and environment information. Research towards this goal suggests a smart lamp control system that has an effect on the human emotion. According to the PSI theory, the control system calculates the biorhythm with an algorithm that uses the human biorhythm, weather factors and walking amounts. The smart lamp works with the recommended color lights that can control the feelings and emotions of the user. Here, we will show the effect of physical and mental stability, health care, and accident prevention.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.892-905
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• 2018

In smart home environment, certificate based signature technology is being studied by communication with Internet of Things(IoT) device. However, block - chain technology has attracted much attention because of the problems such as single - point error and management overhead of the trust server. Among them, Keyless Signature Infrastructure(KSI) provides integrity by configuring user authentication and global timestamp of distributed server into block chain by using hash-based one-time key. In this paper, we provide confidentiality by applying group key and key management based on multi - solution chain. In addition, we propose a smart home environment that can reduce the storage space by using Extended Merkle Tree and secure and efficient KSI-based authentication and communication with enhanced security strength.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.1183-1184
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• 2017

라즈베리파이와 같은 경량 시스템이 보급되면서, 기존의 서버 중심의 분석 기법에서 경량 시스템에서 경량/순간 분석을 하고, 누적/중량 분석은 서버에서 수행할수 있는 계층적 협업 분석에 대한 연구를 진행하고 있으며, 이를 통해 IoT Thing을 논리적으로 묶어서 Cloud of Things과 같이 센서 데이터 수집/처리를 용이하게 하기 위해 구현된 계층적 협업 분석 SW에 대한 시험 검증 사례에 대한 연구 내용을 담고 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.597-599
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• 2018

최근 IOT(Internet of Things)환경에서 위치기반 서비스를 제공하기 위해 실내 위치인식 연구가 활발히 진행되고 있으며 실내 위치인식 기술은 주로 WiFi, 블루투스, RFID 등으로 구현되고 있다. 본 논문은 Arduino를 이용해 WiFi 측정 및 통신이 가능한 Smart Watch를 제작하였다. 실내위치 측위를 위해 WiFi Fingerprinting기법 Radiomap을 구축한 다음 Arduino Smart Watch에서 측정한 AP신호 값을 Radiomap과 비교하여 실내위치 측정 및 데이터 수집하였다. 향후 수집된 다수의 사용자 데이터를 군집도 분석하거나 실내공간에서의 IOT(Internet of Things)분야에 활용 가능 할 것으로 예상된다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.2
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• pp.1-9
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• 2019

In this study, we constructed a system to operating and manage the resources of the Smart Library Reading Room automatically using the Internet of things. The persistent problem of smart library or unattended library is electric energy waste and efficient seat management. The electricity and seat layout management method of the existing library reading room is being treated as concentrated management in the central system. However, this approach results in wasting electricity and seats do not provide a fair opportunity for each user. In this study, IoT sensor was used to turn off electricity and empty seat for about 20 minutes, so that it could be marked as vacant and managed efficiently, so that opportunities for seats were evenly maintained. In the future, we will improve this and construct a model in the reading room of actual village library or school library, and analyze and reflect the result.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.1-12
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• 2022

The current progression in the Internet of Things (IoT) and Machine Learning (ML) based technologies converted the traditional healthcare system into a smart healthcare system. The incorporation of IoT and ML has changed the way of treating patients and offers lots of opportunities in the healthcare domain. In this view, this research article presents a new IoT and ML-based disease diagnosis model for the diagnosis of different diseases. In the proposed model, vital signs are collected via IoT-based smart medical devices, and the analysis is done by using different data mining techniques for detecting the possibility of risk in people's health status. Recommendations are made based on the results generated by different data mining techniques, for high-risk patients, an emergency alert will be generated to healthcare service providers and family members. Implementation of this model is done on Anaconda Jupyter notebook by using different Python libraries in it. The result states that among all data mining techniques, SVM achieved the highest accuracy of 0.897 on the same dataset for classification of Parkinson's disease.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.1
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• pp.18-23
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• 2023

A smart sensor is the key element to implement IoT (Internet of Things) service, as a terminal equipment. This paper investigated the design method of a power supply using energy harvesting technique for a smart sensor. the performance of a power supply using a solar cell and a piezoelectric transducer as a energy harvesting device was verified and the method to optimize a power supply was analyzed depending on the operating condition of a smart sensor. Also the method to increase a battery life cycle as a auxiliary power supply was proposed.