• Journal of KIISE
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• v.43 no.6
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• pp.710-717
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• 2016

Recently, several research studies on things abstraction framework have been proposed in order to implement the multi-service Internet of Things (IoT) system, where various IoT services share the thing devices. Distributed things abstraction has an IoT service duplication problem, which aggravates power consumption of mobile devices and network traffic. On the other hand, cloud server-centric things abstraction cannot cover real-time interactions due to long network delay. Fog server-centric things abstraction has limits in insufficient IoT interfaces. In this paper, we propose Smart Fog which is a fog server-centric things abstraction framework to resolve the problems of the existing things abstraction frameworks. Smart Fog consists of software modules to operate the Smart Gateway and three interfaces. Smart Fog is implemented based on IoTivity framework and OIC standard. We construct a smart home prototype on an embedded board Odroid-XU3 using Smart Fog. We evaluate the network performance and energy efficiency of Smart Fog. The experimental results indicate that the Smart Fog shows short network latency, which can perform real-time interaction. The results also show that the proposed framework has reduction in the network traffic of 74% and power consumption of 21% in mobile device, compared to distributed things abstraction.

• Journal of Industrial Convergence
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• v.20 no.3
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• pp.33-40
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• 2022

Recently, IoT-linked services have been used in various environments, and IoT and artificial intelligence technologies are being fused. However, since technologies that process IoT data stably are not fully supported, research is needed for this. In this paper, we propose a processing technique that can optimize IoT data after generating embedded vectors based on machine learning for IoT data. In the proposed technique, for processing efficiency, embedded vectorization is performed based on QR such as index of IoT data, collection location (binary values of X and Y axis coordinates), group index, type, and type. In addition, data generated by various IoT devices are integrated and managed so that load balancing can be performed in the IoT data collection process to asymmetrically link IoT data. The proposed technique processes IoT data to be orthogonalized based on hash so that IoT data can be asymmetrically grouped. In addition, interference between IoT data may be minimized because it is periodically generated and grouped according to IoT data types and characteristics. Future research plans to compare and evaluate proposed techniques in various environments that provide IoT services.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2724-2730
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• 2015

Internet of Things (IoT) is possibly the most widely discussed technological concept in today's technology circles. This technology is expected to dramatically change not only how we work but also how we live. The concept of IoT basically means a web of connected devices which can be controlled over a data network. With cost of technology required to control these devices going down and increasing internet connectivity through smartphones, IoT is expected to be an all pervasive technology in the next 10 years. In this paper, we study the technological landscape of this fast growing technology domain from an Intellectual Property (Patents) perspective. We find that the patent distribution in this domain is very fragmented with the top patent applicants in the field holding around 5% of the total patents. Especially, the US geography has seen the maximum patent filings and is closely followed by the big Asian markets of Japan and Korea.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.1-7
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• 2019

The medical environment, combined with IT technology, is changing the paradigm for medical services from treatment to prevention. In particular, as ICT convergence digital healthcare technology is applied to hospital medical systems, infrastructure technologies such as big data, Internet of Things, and artificial intelligence are being used in conjunction with the cloud. In particular, as medical services are used with IT devices, the quality of medical services is increasingly improving to make them easier for users to access. Medical institutions seeking to incorporate IoT services into cloud health care environment services are trying to reduce hospital operating costs and improve service quality, but have not yet been fully supported. In this paper, a patient information collection model from hospital IoT system, which has established a cloud environment, is proposed. The proposed model prevents third parties from illegally eavesdropping and interfering with patients' biometric information through IoT devices attached to the patient's body at hospitals in cloud environments that have established hospital IoT systems. The proposed model allows clinicians to analyze patients' disease information so that they can collect and treat diseases associated with their eating habits through IoT devices. The analyzed disease information minimizes hospital work to facilitate the handling of prescriptions and care according to the patient's degree of illness.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.58-73
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• 2015

In the IoT environment, context information is important to provide context service to the user. For this, collected data from devices such as sensors or actuators, converts to context information using the ontology. Because the existing ontologies designed for target service, if the user wants to change the service requirements, service condition, service environment or another service, overall ontology will be redesigned to the changed service. To overcome this difficulty, we propose the cross-vertical ontology model called the Generic Ontology Models(GOMs). It can define the user's desired services without regarding to place and situation. Also, we propose IoT service concept model that represents data flow of the IoT service and IoT service environment. Moreover, as the use case, we show that the proposed GOMs are able to provide the IoT service well.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.9
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• pp.217-224
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• 2019

Recently, sensor networks are built and used on many kinds of fields such as home, traffic, medical treatment and power grid. Sensing data manipulation on these fields could be a serious threat on property and safety. Thus, a proper way to block sensing data manipulation is necessary. In this paper, we propose IoT(Internet of Things) sensing data validation mechanism based on data obfuscation and variance analysis to remove manipulated sensing data effectively. IoT sensor device modulates sensing data with obfuscation function and sends it to a user. The user demodulates received data to use it. Fake data which are not modulated with proper obfuscation function show different variance aspect with valid data. Our proposed mechanism thus can detect fake data by analyzing data variance. Finally, we measured data validation time for performance analysis. As a result, block rate for false data was improved by up to 1.45 times compared with the existing technique and false alarm rate was 0.1~2.0%. In addition, the validation time on the low-power, low-performance IoT sensor device was measured. Compared to the RSA encryption method, which increased to 2.5969 seconds according to the increase of the data amount, the proposed method showed high validation efficiency as 0.0003 seconds.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.5
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• pp.499-504
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• 2016

The Service had a purpose to be heard through the Smart Phone APP and Smart TV Broadcasting Contents to Foreigner's Language in The Asia Culture Center. This Paper explained how to realize foreigner with Beacon's Signal and IoT gateway provided the voice service with selected his language using AllJoyn Protocol Interface function. IoT Service Platform received the Registration of foreigner's identifier, there sent messages to all devices, which were all IoT gateways, IoT gateway could connect to foreigner's Smart Phone App and heard the Broadcasting contents. If a foreigner went out of Beacon's management distance, the voice App service were released.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.10
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• pp.989-994
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• 2016

This study was conducted the management of a water level through the water sensor, the waterline and the drain applied to the rice paddy. The gateway transfers the information to oneM2M(: Machine to Machine) platform of IoT(: Internet of Thing) standards to the height of the water level sensor information through the LoRa connection. Depending on the water level requested by the IoT platform, the gateway is to On or Off waterline or drain motor switch and send the information of the water level sensor. IoT platform performs the intelligent application function according to the condition of the water level.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.815-817
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• 2023

본 논문은 10 대 비만 증가와 소아·청소년 비만 문제를 해결하기 위해 '청소년을 위한 신개념 움직이는 IoT 놀이 장치'를 제안한다. 이 장치는 조끼에 부착된 LED 에 동일한 패턴의 동료를 찾아 뛰는 '삼삼오오 게임', 랜덤으로 출력된 초성의 순서를 맞추기 위해 달리는 '초성순서 게임'등을 제공하여 체육활동을 협력과 함께 즐길 수 있는 기회를 공급합니다. 본 논문은 이장치를 통해 학생들의 체육활동에 대한 흥미를 높이고 청소년들의 체력 증진 및 비만 문제 해결에 기여하는 것을 목표로 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.972-974
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• 2016

최근 전 세계적으로 IoT(Internet of Things) 기술이 활발히 연구되고 있다. IoT 환경은 임베디드나 센서 등의 시스템에 적용되는 경우가 많다. 그 특성으로 인해, 적용된 장치들은 경량화되기 때문에 통신을 위한 프로토콜로 UDP 기반 프로토콜을 많이 사용한다. UDP 기반 프로토콜은 TCP 기반 프로토콜보다 보안 기능이 미비하므로 UDP 상에서도 보안 기능을 제공해 줄 수 있는 DTLS(Datagram Transport Layer Security)가 권고된다. 하지만 DTLS는 저전력 IoT 환경을 고려하여 만들어진 프로토콜이 아니다. 그래서 저전력 IoT 환경에서 사용하기에는 힘들다. 하지만 HIGHT(HIGh security and light weigHT) 알고리즘을 사용하면 보안적인 측면을 고려하면서도 DTLS의 알고리즘인 AES(Advanced Encryption Standard)의 높은 에너지 소모량이 해결된다. 본 논문에서는 보안 측면을 고려하면서 에너지 효율까지 고려한 KISA(Korea Internet & Security Agency, 한국인터넷진흥원)의 HIGHT 암호화 알고리즘을 기반으로 DTLS를 경량화하여 저전력 기기에서 적용할 수 있는 방안을 제안한다.