• Journal of Internet Computing and Services
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• v.18 no.2
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• pp.21-30
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• 2017

IoT(Internet of Things) can enable networking and computing using any devices is rapidly proliferated. In the existing IoT environment, bottlenecks and service delays can occur because it processes data and provides services to users using central processing based on Cloud. For this reason, Edge Computing processes data directly in IoT nodes and networks to provide the services to the users has attracted attention. Also, numerous researchers have been attracted to intelligent service efficiently based on Edge Computing. In this paper, expert system-based context awareness scheme for Edge Computing in IoT environment is proposed. The proposed scheme can provide customized services to the users using context awareness and process data in real-time using the expert system based on efficient cooperations of resource limited IoT nodes. The context awareness services can be modified by the users according to the usage purpose. The three service modes in the security system based on smart home are used to test the proposed scheme and the stability of the proposed scheme is proven by a comparison of the resource consumptions of the servers between the proposed scheme and the PC-based expert system.

• Journal of IKEEE
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• v.25 no.4
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• pp.598-606
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• 2021

In this paper, we presents a new service binding and resource management model for context based services in mobile edge computing (MEC) networks. The proposed control is composed of two layers: MEC service bindng control layer (MCL) and user context control layer (UCL). The MCL manages service binding construction, resource allocation, and service policy construction from a system point of view; and the UCL manages real-time service adaptation using meta-objects. Through simulations, we confirmed that the proposed control offers enhanced throughput and content transfer time when it is compared to the legacy computing and control models. The proposed control model can be employed as a key component for the context based various internet-of-things (IoT) services in MEC environments.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.9
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• pp.409-418
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• 2015

In order to delivery of the correct information in IoT environment, it is important to deduce collected information according to a user's situation and to create a new information. In this paper, we propose a control access scheme of information through context-aware to protect sensitive information in IoT environment. It focuses on the access rights management to grant access in consideration of the user's situation, and constrains(access control policy) the access of the data stored in network of unauthorized users. To this end, after analysis of the existing research 'CP-ABE-based on context information access control scheme', then include dynamic conditions in the range of status information, finally we propose a access control policy reflecting the extended multi-dimensional context attribute. Proposed in this paper, access control policy considering the dynamic conditions is designed to suit for IoT sensor fusion environment. Therefore, comparing the existing studies, there are advantages it make a possible to ensure the variety and accuracy of data, and to extend the existing context properties.

• The Journal of Society for e-Business Studies
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• v.21 no.3
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• pp.1-13
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• 2016

The many researches on context-aware service based on the combination of semantic technology and IoT environment are being actively done. However, the previous study exploiting ontology has limitations not to accommodate the service requirement changes due to ontology prebuilt by specific service scenario. Although the concept of cross vertical ontology has emerged in order to overcome the limitation, it has other limitations that need additional components composing service environment for expressing context information and can't represent state information of environment elements. To cope with these limitations, we propose SISO (Semantic-based IoT Service Ontology) that can represent the states of environmental element without the need for additional context-information element. To verify SISO's characteristics, we select the service scenario and present applied results. The qualitative analysis comparing with the previous study is also presented by the applied results of service scenario.

• Journal of Korea Multimedia Society
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• v.23 no.3
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• pp.447-459
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• 2020

The Internet of Things(IoT) paradigm is flourishing strenuously for the last two decades. Researchers around the globe have their dreams to transmute every real-world object to the virtual object. Consequently, IoT devices are escalating exponentially. The abrupt evolution of these IoT devices has caused a major challenge i.e. object classification. In order to classify devices comprehensively and accurately, this paper proposes a context-aware based multi-classification model for devices, which classifies the smart devices according to people's contexts. However, the classification features of contextual data of different contexts are difficult to extract. The deep learning algorithm has the capability to solve this problem. This paper proposes a context-aware based multi-classification model of devices, which classifies the smart devices according to people's contexts.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.71-72
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• 2017

최근 소형 IoT 디바이스의 보급에 따라 모든 것이 인터넷과 연결되는 초연결 사회로 발전하면서 IoT 플랫폼 및 서비스 시장규모가 급격히 확대되고 있다. 특히, 스마트 홈을 위한 IoT 플랫폼에 대한 연구와 개발이 집중되고 있는데, 본 논문에서는 이러한 스마트 홈에서 다양한 IoT 기기의 시너지 효과를 극대화 할 수 있는 상황 인식 추론 시스템 서버의 성능을 분석한다. 본 논문의 IoT 기반 상황 인식 추론 시스템은 상황 정보를 RDF Triple 구조로 표기하며, 서버의 경량화 추론 엔진을 이용하여 사용자가 입력한 룰을 기반으로 주변 상황을 추론하고 사용자 맞춤형 서비스를 제공한다. 이러한 상황 인식 추론 시스템 서버의 성능을 확인하기 위해, 본 논문에서는 기존 PC 기반 상황 인식 추론 시스템 서버와 IoT 노드 기반 시스템 서버에 대한 메모리 사용량, 메모리 할당량, CPU 사용량을 비교한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.147-153
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• 2016

Recently, IETF (Internet Engineering Task) working group has adopted CoAP (Constrained Application Protocol) as a standard IoT proctocol. CoAP is a specialized web transfer protocol for use with constrained nodes and constrained environment such as small memory and low power networks. In this paper, we design and implement a registration service with CoAP protocol based on RD(Resource Directory) to connect IoT nodes in mobile Internet environments. The resource directory between the mobile terminal and IoT nodes provides to discover the IoT nodes and get the context data. The mobile terminal has as the CoAP client and embedded IoT nodes includes as the CoAP server so that it can conveniently manage the constrained IoT nodes to get the context data and control devices in a mobile environments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.609-610
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• 2017

As interest in IoT has increased recently, services using IoT devices and smart phones have been applied to various industries. Among them, the electronic attendance system has been built and serviced by various institutions, but There is a problem that the user recognition is not accurate yet. In this paper, we propose a context recognition based user recognition method that can improve the accuracy of user recognition part in a system based on BLE beacon among existing electronic attendance systems.

• Information and Communications Magazine
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• v.32 no.5
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• pp.31-35
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• 2015

IoT 서비스 사업자, IoT 기기 공급업체 또는 산업분야별로 구축한 IoT 서비스가 파편화돼 가는 상황에서 IoT 플랫폼간 상호운용성(Interoperability) 관련 기술 개발의 필요성이 증대되고 있다. 본 논문에서는 IoT 서비스 플랫폼간의 상호운용성 및 IoT 디바이스간의 상호운용성을 개선하기 위한 플랫폼간 연동(Interworking) 기술 및 개방형 표준 플랫폼 기술 적용 방안을 제시하였으며 사용 편의를 위한 상황인식(Context-Awareness) 기술 구현안을 제시하였다. 본 논문에서는 모다정보통신이 개발한 oneM2M 국제표준 기반의 지능형 IoT 플랫폼인 OMNIPASS와 다양한 IoT 플랫폼 간의 상호연동성을 지원하는 IoT Gateway장치로서 Smart Brain을 소개하고 이를 통해 IoT 서비스의 발굴과 다양한 산업 응용 분야의 확산을 도모하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.59-62
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• 2016

최근 무선통신기술과 소형 하드웨어의 발전으로 모든 환경에서 네트워크 및 컴퓨팅이 가능한 IoT(Internet of Things) 기기들이 지속적으로 증가하는 추세이며, 이러한 IoT 트랜드는 지속될 전망이다. 기존 IoT 플랫폼은 일반적으로 전력 사용적인 측면에서 In-memory 컴퓨팅을 지향하지만 이러한 방식은 시스템 에러 발생 시 메모리의 휘발성으로 인해 신뢰성이 저하되는 단점이 있다. 본 논문에서는 전체 시스템의 신뢰성 향상을 위해 XML 형식의 파일과 관계형 데이터베이스를 이용한 IoT 기반 상황 인식 시스템 서버를 설계한다. 설계된 상황 인식 시스템 서버는 추론 엔진을 포함하고 있으며, 사용자가 등록한 룰과 수집된 상황 데이터를 이용하여 전체 시스템을 동작시킨다. 또한, 전체 시스템의 신뢰성을 검증하기 위해 3가지 동작 시나리오를 제안한다.