• Proceedings of the KIPE Conference
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• 2018.07a
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• pp.273-274
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• 2018

Recently, many countries around the world are investing heavily in green industries based on green IT technology. The key industry in the green industry is LED. If we replace traditional lighting, we can save a lot of socioeconomic costs. Because it is energy efficient. However, the research and development on maintenance and management are still insignificant about LED lighting. Therefore, after the failure, the post-treatment is delayed and often occurs. In order to solve these problems, it is planned to detect the failure of the LED lighting and to establish a monitoring system that can monitor the situation in real time on the computer or mobile phone of the remote manager using the latest IoT network technology.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.607-608
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• 2017

이동 Ad-hoc 무선망은 고정 라우터나 호스트, 무선 기지국에 관계없이 순수하게 무선기반의 인프라 구조로 구성된 망이다. 기존의 무선망 인프라는 기반 구축 비용이 많이 들고 기반구조가 파괴되었을 때 서비스 제공이 불가능한 단점이 있다. Ad-hoc 무선망은 이러한 단점을 보안하기 위해 라우팅 알고리즘을 구현하여 기존의 통신망보다 Ad-hoc 무선망을 이용하면 지진으로 인한 유 무선망의 통화단절 등을 막을 수 있고, 이동전화 품질서비스, 저렴한 가격, 떨어져 있는 동일 사업장내에서 무료 통화가 가능하여 이동통신 사업자에게 통신료를 지불할 필요가 없다. 본고에서는 이를 실현화 시킬 수 있는 알고리즘 개발과 시험을 통한 결과를 제시하고자 한다.

• Annual Conference of KIPS
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• 2018.05a
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• pp.62-64
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• 2018

본 연구는 교내 카드 학생증의 불편함을 해소하기 위해 무선통신 NFC 기술을 활용하여 IoT 도어락을 구현했다. 본 앱의 목적인 출입과 동시에 권한 양도 기능을 수행함으로써 교내 이외 실생활에서도 적용가능 하도록 구현하였으며, 이를 통해 편리성, 효율성, 보안성을 모두 갖출 수 있도록 구현했다.

• Annual Conference of KIPS
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• 2015.04a
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• pp.522-525
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• 2015

"녹색건축 인증제도"는 건축물의 자재생산단계, 설계, 건설, 유지 관리, 폐기에 걸쳐 건축물의 전 과정에서 발생할 수 있는 에너지와 자원의 사용 및 오염물질 배출과 같은 환경 부담을 줄이고, 쾌적한 환경을 조성하기 위한 목적으로 건축물의 친환경성을 평가하여 인증하는 제도이다. 우리나라는 2002년부터 제도를 운영해오고 있지만 LCA를 기반으로 한 평가기준이 미비하고, 인증대상 확대에 따른 수요를 대처하기 어려운 구조이다. 따라서 본 논문에서는 G-SEED와 국외 인증제도의 비교분석을 통해 문제점을 도출하고, 이를 해결하기 위한 IoT 환경에서의 G-SEED : EB 시스템 설계를 목적으로 하였다.

• Journal of Information Technology Applications and Management
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• v.26 no.2
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• pp.61-73
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• 2019

In 2019, 5G mobile communication technology will be commercialized. From the viewpoint of technological innovation, 5G service can be applied to other industries or developed further. Therefore, it is important to measure the demand of the Internet of things (IoT) because it is predicted to be commercialized widely in the 5G era and its demand hugely effects on the economic value of 5G industry. In this paper, we applied Bayesian method on regression model to find out the demand of 5G IoT service, wearable service in particular. As a result, we confirmed that the Bayesian regression model is closer to the actual value than the existing regression model. These findings can be utilized for predicting future demand of new industries.

• Korean journal of aerospace and environmental medicine
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• v.30 no.3
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• pp.100-107
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• 2020

Internet of Things (IoT) is a technology that communicates data between devices, which are things, using an embedded sensor connected through network backbone such as the internet. Here, data communication technology, sensor technology, and actuator (interface) technology are fused into IoT and it turns devices into smart things. As a result, vast sized data are being generated and that data is being processed into useful actions that can control the things that are devices to make our lives much fruitful. Nowadays, the IoT, early defined as Machine-to-Machine (M2M) connection, becomes a key technology powered by growing innovation of wireless communication trends in the internet connectivity through mobile networking. This paper gives an overview of Internet of Things and brief information about major technologies and its applications in various fields focusing aviation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.12
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• pp.6152-6168
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• 2017

Recently, the biometric-based authentication systems such as FIDO (Fast Identity Online) are increased in mobile computing environments. The biometric-based authentication systems are performed on the mobile devices with the battery, the improving energy efficiency is important issue. In the case, the size of images (i.e., face, fingerprint, iris, and etc.) affects both recognition accuracy and energy consumption, and hence the tradeoff analysis between the both recognition accuracy and energy consumption is necessary. In this paper, we propose an energy-efficient way to authenticate based on biometric information with tradeoff analysis between the both recognition accuracy and energy consumption in multimedia IoT (Internet of Things) transmission environments. We select the facial information among biometric information, and especially consider the multicore-based mobile devices. Based on our experimental results, we prove that the proposed approach can enhance the energy efficiency of GABOR+LBP+GRAY VALUE, GABOR+LBP, GABOR, and LBP by factors of 6.8, 3.6, 3.6, and 2.4 over the baseline, respectively, while satisfying user's face recognition accuracy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.323-325
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• 2016

Computing loud arrival times were, important data Clouding and, without being limited to the device, may process the information. Recently, work environment and improved access to Cloud and Mobile, this decision has been made to take effect immediately. However, when such important decisions of the government, the security is required. In this paper, we study the network access and control in IoT, Cloud, Bigdata, Smartwork System applied to Mobile. Study the authentication, authorization, and security for each security level Level of Service to connect to the DB information. Research of this paper will be used as the basis for the information processing and decision-making system design and construction of public institutions and agencies as important information for the protection Smartwork System.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.209-218
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• 2017

Healthcare services can be provided through a number of independent service platforms for measurement of vital signs, diagnosis and prevention of diseases, and Information and communication technology(ICT) such as internet and mobile are converged to provide health information to users at anytime and anywhere, and it is in the center of the IoT(Internet of things). Accordingly, in this paper, we designed IoT based urination management system and evaluate the performance. A low - power Zigbee network was constructed for the configuration of the urination management system. The implemented capacitive diaper sensor was operable for the duration of 2,000 hours. We also built a database server using Raspberry Pi, a tiny embedded device, and stored the collected data to verify the data through an Android-based mobile application. The proposed urination management system can be utilized not only for the older patients, but also for the infants.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.1
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• pp.1-12
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• 2016

The current economic crisis is making new demands on manufacturing industry, in particular, in terms of the flexibility and efficiency of production processes. This requires production and administrative processes to be meshed with each other by means of IT systems to optimise the use and capacity utilisation of machines and lines but also to be able to respond rapidly to wrong developments in production and thus to minimise adverse impacts on the business. The future scenario of the "smart factory" represents the zenith of this development. The factory can be modified and expanded at will, combines all components from different manufacturers and enables them to take on context-related tasks autonomously. Integrated user interfaces will still be required at most for basic functionalities. The complex control operations will run wirelessly and ad hoc via mobile terminals such as PDAs or smartphones. The comnination of IoT, and Big Data optimisation is bringing about huge opportunities. these processes are not just limited to manufacturing, anywhere a supply chain environment exists can benefit from information provided by linked devices and access to big data to inform their decision support. Building a smart factory with smart assets at its core means reaching those desired new levels of productivity and efficiency. It means smart products that leverage advanced traceability, connectivity and intelligence. For businesses, it means being able to address the talent crunch through more autonomous. In a Smart Factory, machinery and equipment will have the ability to improve processes through self-optimization and autonomous decision-making.