• Journal of Engineering Education Research
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• v.21 no.3
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• pp.66-75
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• 2018

This paper is the second part of the January 2018 issue of the Korean Society for Engineering Education, The "Equilibrium and Unbalance Analysis of Taegeuk Pattern DNA Matrix Codes," and is an extension of the paper published in the IoT Section of the 2017 Summer Conference in Jeju. In this paper, we have reviewed the history of what is life, and 5G Mobile communication: with IoT followed by recent research on influenza RNA gene mutation and DNA mutation variants, and the insights of Watson and Crick. Inspired by a single Franklin DNA X-ray diffraction photograph, they received the Nobel Prize for the Nature publication of DNA that has three patterns and regular repeatability. Professor MoonHo Lee has solved the three patterns in Diagonal, Left to Right, and Vertical matrices in a 2x2 matrix[CU; AG] and A = T = U = 30% C = G = 20%. We also proposed DNA Watch. This is the Healthcare IoT, which is seen by the DNA Watch on the wrist, the type of Tai Chi pattern of the body, and is immediately connected to the smartphone and delivered to the doctor.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.212-217
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• 2020

We studied on the design of a sprinkler control system that communicates with the administrator's mobile through a wireless communication network and a sprinkler unit that sprays water on the vegetation area. This sprinkler control system consists of a communication module that receives an operation signal for the operation of the sprinkler unit from the administrator's mobile, and a control module that controls the sprinkler unit according to the operation signal received through the communication module. It is also designed to control sprinkler units by measuring temperature, humidity, light intensities, vibration and field images in the vegetation area in real time through sensors and camera for each of them and comparing them with established limit criteria. The sprinkler allows the administrator to control the sprinkler more easily because the administrator operates the sprinkler through the mobile from a distance, and emergency situations occur and can respond quickly.

• Journal of Integrative Natural Science
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• v.11 no.3
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• pp.148-153
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• 2018

In this paper, we propose a hybrid-recognition system to obtain the state information and control the Internet of Things (IoT) based smart devices using two recognitions. First, we use a facial recognition for checking the owner of the mobile devices, i.e., smartphones, tablet PCs, and so on, and obtaining the state information of the IoT based smart devices, i.e., smart cars, smart appliance, and so on, and then we use a fingerprint recognition to control them. Further, in the conventional system, the message of the state and control information between the mobile devices and smart devices is only exchanged through the cellar mobile network. Thus, we also propose a direct communication to reduce the total transmission time. In addition, we develop a testbed of the proposed system using smartphones, desktop computers, and Arduino vehicle as one of the smart devices. We evaluate the total transmission time between the conventional and direct communications and show that the direct communication with the proposed system has better performance.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1036-1054
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• 2019

Recently, concomitant with a surge in numbers of Internet of Things (IoT) devices with various sensors, mobile crowdsensing (MCS) has provided a new business model for IoT. For example, a person can share road traffic pictures taken with their smartphone via a cloud computing system and the MCS data can provide benefits to other consumers. In this service model, to encourage people to actively engage in sensing activities and to voluntarily share their sensing data, providing appropriate incentives is very important. However, the sensing data from personal devices can be sensitive to privacy, and thus the privacy issue can suppress data sharing. Therefore, the development of an appropriate privacy protection system is essential for successful MCS. In this study, we address this problem due to the conflicting objectives of privacy preservation and incentive payment. We propose a privacy-preserving mechanism that protects identity and location privacy of sensing users through an on-demand incentive payment and group signatures methods. Subsequently, we apply the proposed mechanism to one example of MCS-an intelligent parking system-and demonstrate the feasibility and efficiency of our mechanism through emulation.

• Journal of Industrial Convergence
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• v.20 no.7
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• pp.51-56
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• 2022

Recently, interest in fencing is getting increased in Korea due to good results in international fencing competitions and its exposure to the media. However, one of the difficult factors in entering fencing is the cost of initial equipment purchases. Solving this can contribute to expanding the base of fencing. For this reason, this study designed and developed a system that can replace the function of the remote control with a mobile application using Bluetooth communication and learn the function of the fencing scoreboard and fencing terms in French. Through interviews, fencing leaders and club members were asked to find out what was necessary in this study, and to mention the pros and cons of the test operation. It is expected that the fencing scoreboard will be lightweight and small, and it will help to spread fencing through cost reduction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.49-55
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• 2019

An open office or a shared office is emerging as the emphasis on the collaborative and communicative work environments is increasing. In the past, the user maintained the space, but the maintenance of indoor space became difficult because there is no fixed user. Indoor space information can be collected using the ICBM framework system. The facility management can achieve this with data. Therefore, this study proposed a framework based on ICBM (Internet of Things, Cloud, Big Data, and Mobile) for verifying the possibility of a smart facility management system for indoor space. IoT (Internet of Things) technology was used to measure the indoor temperature, humidity, occupancy, and brightness continuously, and provided the data to Web API via WiFi. Data acquired automatically via IoT, existing maintenance data, and spatial information were integrated through the Cloud. Big data collected by sensors were processed as meaningful spatial information for maintenance. Indoor space information and maintenance information can be delivered to the manager through the mobile. Based on the collected data, room occupancy recognition is limited due to a range of ultrasonic wave sensors. On the other hand, brightness represents the space conditions. The difference between lighting on/off, weekday and weekend can be shown. The temperature data and the relative humidity data were collected steadily to evaluate the comfort.

• Annual Conference of KIPS
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• 2017.04a
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• pp.174-175
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• 2017

최근 모바일 디바이스 대상 애플리케이션이 급속도로 성장하며 모바일 컴퓨팅과 클라우드 컴퓨팅을 결합한 모바일 클라우드 컴퓨팅의 패러다임이 확산되고 있다. 한편 사물인터넷이 확산되며 다양한 센서 데이터를 수집할 수 있는 사물인터넷 디바이스를 통한 클라우드 컴퓨팅의 필요성이 증가하고 있다. 이러한 IoT 디바이스는 적지 않은 컴퓨팅 성능을 가지고 있음에도 불구하고 대부분 비교적 저수준의 컴퓨팅을 수행하거나 많은 시간을 유휴 리소스의 형태로 낭비하고 있는 실정이다. 본 논문에서는 IoT 디바이스의 리소스를 통합해 모바일 클라우드 컴퓨팅 인프라의 구축 및 운영을 위한 스킴 IDRIS(IoT device's Resource Integration Scheme)를 제안한다. IDRIS는 IoT 디바이스를 통해 수집한 센서 데이터의 처리를 외부 클라우드의 원격 서버가 아닌 사용자가 구성한 개인 모바일 클라우드를 통해 컴퓨팅을 수행할 수 있도록 하는 스킴을 제공한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.876-879
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• 2015

Inernet of Things(IoT) is a network to be interconnected with things anytime, anywhere. This means interaction with each other, collecting, sharing, and analysing the data. IoT also offers a new paradigm shift in industry. In particular, the combining with the fields of health care services has been noted. The convergence of IoT technology and health care is expected to be the innovation paradigm in the healthcare industry that includes all of the changes to bring the mobile health and wearable health care devices. This study analyzes IoT, health care status, and the use cases of the IoT in the medical field, finally analyses security on the Internet of Things, the most important issues of security challenges while still in medical services.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.7
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• pp.1252-1256
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• 2016

Internet of Things(IoT)-devices are now expanding inter-connecting networking technologies to invent healthcare monitoring system especially for assessing physiological conditions of the chronically-ill patients those with cardiovascular diseases. Hence, IoT system is expected to be utilized for home healthcare by dedicating the original usage of IoT devices to collect the biomedical data such as electrocardiogram(ECG) and photoplethysmography(PPG) signal. The aim of this work is to implement health monitoring system by integrating IoT devices with Raspberry-pi components to measure and analyze ECG and the multi-channel PPG signals. The acquired data and fiducial features from our system can be transmitted to mobile devices via wireless networking technology to support the concept of tele-monitoring services based on IoT devices.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.2
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• pp.523-535
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• 2017

Local intelligent services aim at controlling local services such as cooling or lightening services in a certain local area, using Internet-of-Things (IoT) sensor data in the area. As the IoT paradigm has evolved, local intelligent services have gained increasing attention. However, most of the local intelligent service mechanism proposed so far do not directly take the users' presence and service preference information into account for controlling local services. This study proposes an individual presence-and-preference-based local service system (IPP-LISS). We present a intelligent service control algorithm and implement a prototype system of IPP-LISS. Typically, the intelligence part of IPP-LISS including the prediction models, is generated on remote server in the cloud because of their compute-intense aspect. However, this can cause huge data traffic between IoT devices and servers in the cloud. The emerging mobile edge computing technology will be a promising solution of this challenge of IPP-LISS. In this paper, we implement IPP-LISS in the cloud, and then, based on the implementation result, we discuss applying the mobile edge computing technology to the IPP-LISS application.