• Information and Communications Magazine
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• v.32 no.11
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• pp.21-31
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• 2015

현대 사회에서의 삶의 모습이 다양해짐에 따라 생활습관이 다양해지고 잘못된 생활습관으로 인한 생활습관병에 대한 관심이 높아지고 있다. 본 논문에서는 사물인터넷 및 빅데이터와 같은 IT기술을 통해 사용자의 다양한 생활습관을 추적할 수 있는 방법과 그 응용 기술에 대해서 소개하고자 한다. 이러한 생활습관 추적 및 분석 기술은 다양한 사용자의 요구에 능동적으로 대처할 수 있으며 노약자나 장애인, 생활습관병 환자 등 특수계층의 건강 예측, 질병 관리 분야에서 실효성을 가질 수 있다. 특히 본 논문에서는 라이프케어 서비스를 위한 사용자 센싱 기술에 초점을 두고, 낮 시간의 활동과, 밤 시간의 수면 및 위치 기반 기술, 빅데이터 플랫폼, 스마트 홈 패턴 모델링 기술에 대해서 소개한다.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.95-104
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• 2019

Various kinds of devices are used for the Internet of Things (IoT) service, and IoT devices mainly use communication technology that uses the frequency of the unlicensed band. There are several types of communication technology in the unlicensed band, but WiFi is most commonly used. Devices used for IoT services vary in computing resources from devices with limited capabilities to smartphones and provide services over wireless networks such as WiFi. Most IoT devices can't perform complex operations for network control, thus they choose a WiFi access point (AP) based on signal strength. This causes a decrease in IoT service efficiency. In this paper, an intelligent AP system that can efficiently control the WiFi connection of the IoT devices is implemented. Based on the network information measured by the IoT device, the access point learns using a feed forward neural network algorithm, and predicts a network connection state to control the WiFi connection. By controlling the WiFi connection at the AP, the service efficiency of the IoT device can be improved.

• Information and Communications Magazine
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• v.32 no.4
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• pp.44-49
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• 2015

본고에서는 최근 사물인터넷시대를 맞이하여 센서와 컨트롤기술, 모바일 어플리케이션, 네트워크 트래픽, 빅데이터의 관리와 분석, 클라우드 컴퓨팅의 성장에 따라 새롭게 급성장하고 있는 스마트홈 분야를 중심으로 시장현황, 업체동향 및 기술동향을 분석하고자 한다. 또한, 사용자에게 보다 안전하고, 편리하고, 쾌적하고, 비용 절감이 되는 스마트홈 서비스 및 솔루션에 대하여 알아보기로 한다.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.9-14
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• 2017

Recently, the Internet of Things are developing in accordance with the technology of implementation in low-cost, small-size, low power consumption and smart sensor that can communicate using the internet. Especially, key management researches for secure information transmission based on the Internet of Things (IoT) are actively performing. But, Internet of Things(IoT) are uses sensor. Therefore low-power consumption and small-memory are restrictive condition. As a result, managing the key is difficult as a general security measure. However, The problem of secure key management is an essential challenge For the continuous development of the Internet of things. In this paper, we propose a key distribution and management technique in secure Internet of things. In the key generation and management stage, it satisfies the conditions and without physically constrained for IoT based communication.

• Journal of Convergence Society for SMB
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• v.5 no.4
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• pp.31-36
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• 2015

Recently, the necessity of Internet of Things in conjunction between devices is increasing. However, there are increasing security threats while applying various communication technologies in the Internet of Things. In this paper, we propose a security countermeasures to minimize damage to the security of a variety of security technologies used in the Internet of Things in order to improve the efficiency of the Internet of Things. The proposed method defined the environment to minimize security damage between home devices such as TV, washing machine, refrigerator, boiler and medical devices such as Analyzers, blood glucose meters, blood pressure monitors that are used in daily life. In addition, a variety of technologies(Zigbee, Wi-Fi, NFC, RFID, etc.) that are used in the Internet of Things may be under integrated management.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.7
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• pp.1342-1354
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• 2016

As Internet, and hardware technology are in rapid process, using rate and penetration rate of Internet of Things are increasing. Internet of Things is the physical objects with network which embedded with electronics, software, sensors, and network. Smart Home-kit to operate refrigerators, washing machines, light bulbs, and such internet of things by a smartphone has been realized. However, it is difficult to use a good quality of software based on IoT. It is because that the study related to quality evaluation of software based on IoT is deficient compared with increase amount of IoT devices. Software based on IoT includes mobility, transportability, real time accessibility and hardware characteristics. Therefore, it is necessary to have differentiated quality standards and quality model. Software quality evaluation model for IoT is proposed to satisfy these needs. Evaluation model is mapped by characteristics of IoT software based on ISO/IEC 25000's quality characteristics. Scenario based studies were applied to quality model for verification.

• Convergence Security Journal
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• v.15 no.5
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• pp.53-59
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• 2015

With radical development of information and communication Technology, Internet of Things(IoT) era - all the th ings around us are connected through internet so that it enables objects to exchange data with connected devices a nd is expected to offer new advanced services that goes beyond the value where each existing objects could have o ffered respectively - has come. Concerns regarding security threat are being raised in adopting IoT as the number of internet-connected appliances are rapidly increasing. So, we need to consider how to protect and control countles s objects. This paper covers the role and procedures of existing security control. Futhermore, it provides information about the direction of security control when it comes to IoT.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.135-141
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• 2018

In this paper, we describe design and implementation of optimal smart home control system. Recent developments in technologies such as sensors and communication have enabled the Internet of Things to control a wide range of objects, such as light bulbs, socket-outlet, or clothing. Many businesses rely on the launch of collaborative services between them. However, traditional IoT systems often support a single protocol, although data is transmitted across multiple protocols for end-to-end devices. In addition, depending on the manufacturer of the Internet of things, there is a dedicated application and it has a high degree of complexity in registering and controlling different IoT devices for the internet of things. ARIoT system, special marking points and edge extraction techniques are used to detect objects, but there are relatively low deviations depending on the sampling data. The proposed system implements an IoT gateway of object based on OneM2M to compensate for existing problems. It supports diverse protocols of end to end devices and supported them with a single application. In addition, devices were learned by using deep learning in the artificial intelligence field and improved object recognition of existing systems by inference and detection, reducing the deviation of recognition rates.

• 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 the Korea Convergence Society
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• v.8 no.8
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• pp.1-8
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• 2017

Recently, the technological development in the Internet of Things(IoT) field has grown rapidly worldwide and China is also expected to show a noticeable growth trend in this field. Therefore, the aim of this research is to analyze the recent trend of Chinese patents in the IoT field. China has been very active between 2010 and 2014, surpassing USA, and the this trend will accelerate in the future. The results of the analysis are as follows. First, the number of IoT-related patents in China increased rapidly from 2010 to 2014. Second, the major actors that led this quantitative increase are firms including ZTE and higher education institutes such as Nanjing University of Posts and Telecommunications. Lastly, major technological fields and the convergence networks amongst those fields were analyzed. As a result, it was found that the patenting activity in H04L was the most active and this field has led the convergence among other technological fields.