• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.797-800
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• 2016

IoT가 다양한 형태로 IT 기술을 이용하는 사물의 서비스를 제공하고 있다. 보다 스마트한 IoT 환경을 만들기 위하여 센서 데이터를 효율적으로 컨트롤하는 시스템이 필요하다. 본 논문은 계속적으로 생성되는 IoT 센서 데이터 를 효율적으로 처리하는 시스템을 Loosely Coupled 하고 확장 가능한 Sensor Reaction System의 아키텍처로 구성하고 있다. 본 논문에서는 Node.js, MQTT, MongoDB 기술을 사용함으로써 이벤트 기반한 stream 및 batch 처리를 할 수 있도록 센서 데이터를 메시지 큐에서 효율적으로 처리한다. 본 논문에서는 아두이노 보드에 온도 및 빛 센서를 부착한 센서 디바이스로부터 센서 테이터를 받아서 PC 기반의 MQTT Broker / Sensor Reactor / MongoDB 서버 시스템을 구축하고 성능을 분석하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1913-1934
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• 2022

The emergence of technologies like Big data analytics, Industrial Internet of Things, Internet of Things, and applicability of these technologies in various domains leads to increased demand in the underlying execution environment. The demand may be for compute, storage, and network resources. These demands cannot be effectively catered by the conventional cloud environment, which requires an integrated environment. The task of finding an appropriate service provider is tedious for a service consumer as the number of service providers drastically increases and the services provided are heterogeneous in the specification. A service broker is essential to find the service provider for varying service consumer requests. Also, the service broker should be smart enough to make the service providers best fit for consumer requests, ensuring that both service consumer and provider are mutually beneficial. A service broker in an integrated environment named Global Manager is proposed in the paper, which can find an appropriate service provider for every varying service consumer request. The proposed Global Manager is capable of identification of parameters for service negotiation with the service providers thereby making the providers the best fit to the maximum possible extent for every consumer request. The paper describes the architecture of the proposed Global Manager, workflow through the proposed algorithms followed by the pilot implementation with sample datasets retrieved from literature and synthetic data. The experimental results are presented with a few of the future work to be carried out to make the Manager more sustainable and serviceable.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5654-5668
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• 2018

Driven by security and real-time demands of Internet of Things (IoT), the timing of fog computing and edge computing have gradually come into place. Gateways bear more nearby computing, storage, analysis and as an intelligent broker of the whole computing lifecycle in between local devices and the remote cloud. In fog computing, the edge broker requires X-aware capabilities that combines software programmability, stream processing, hardware optimization and various connectivity to deal with such as security, data abstraction, network latency, service classification and workload allocation strategy. The prosperous of Field Programmable Gate Array (FPGA) pushes the possibility of gateway capabilities further landed. In this paper, we propose a software-defined gateway (SDG) scheme for fog computing paradigm termed as Fog Computing Zero-Knowledge Gateway that strengthens data protection and resilience merits designed for industrial internet of things or highly privacy concerned hybrid cloud scenarios. It is a proxy for fog nodes and able to integrate with existing commodity gateways. The contribution is that it converts Privacy-Enhancing Technologies rules into provable statements without knowing original sensitive data and guarantees privacy rules applied to the sensitive data before being propagated while preventing potential leakage threats. Some logical functions can be offloaded to any programmable micro-controller embedded to achieve higher computing efficiency.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.4
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• pp.728-738
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• 2016

We are currently able to share not only the information from humans but also the data from connected things on the Internet. We are getting close to IoT era because of progress of Information Communication Technology. Therefore, the ways of data transfer are offered between things to things. One of typical way is the HTTP protocol. However, The field of Internet of Things platforms requires more fast and more stable communication protocol to handle massive data. The system supporting HTTP protocol, there is a problem of transmission efficiency in a relatively large header compared to data. also HTTP protocol system overload situations and the problem of data compatibility happens due to each standard of many organizations. Thus, To solve these problems, I suggest the data collection solution based on MQTT protocol for the operation of the stable IoT platforms.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.137-142
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• 2017

In this paper, we propose proposed mobile wagering platform technology, where the buying lottery contents registered in secure storage through lottery technology can be used as a common experience in smartphones, smart pads, and PCs, etc. Currently, many people are producing and consuming various types of contents in bulk, and it is expected that real-time contents and old contents coexist as IoT(Internet of Things) technology is commonly deployed in the future. Therefore, we need to develop a differentiated service that can compete with global services in lottery contents authoring and collaboration systems to create new markets. Accordingly, we implemented an wagering service platform to occupy cloud markets with high quality lottery contents produced through collaboration.

• Journal of Satellite, Information and Communications
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• v.11 no.2
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• pp.1-7
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• 2016

In this paper, we propose contents authoring, management, and distribution technologies where the contents registered in secure storage through a content acquisition and authoring tool can be used as a common experience in smartphones, smart pads, and PCs. Currently, many people are producing and consuming various types of contents in bulk, and it is expected that real-time contents and old contents coexist as IoT(Internet of Things) technology is commonly deployed in the future. Therefore, we need to develop a differentiated service that can compete with global services in contents authoring and collaboration systems to create new markets. Accordingly, we implemented an authoring service platform to occupy cloud markets with high quality contents produced through collaboration.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.2
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• pp.309-315
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• 2017

Recently it has drawn much attention on the technologies about Internet of Things (IoT) which connects objects with constrained resource and heterogenous communication module in order to communicate information via internet. We propose a real-time sensor monitoring system based on IPv6 over Bluetooth Low Energy (BLE), which is included in Bluetooth 4.2 Specification. Since this system uses a publish-subsribe based IoT protocol, so called Message Queueing Telemetry Transport (MQTT), neither transforming network data nor any proxy server is needed in order to transmit data. Through the web client connected to this system, you can monitor sensor data sent by BLE device in real-time, intermediated via MQTT broker and then delivered to the client via HTTP and websocket protocol. In this paper we evaluated network capacity and availability of the implemented test platform. Thus by using this system it is possible to make development cost low and to construct IoT network with heterogenous devices easily.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.175-185
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• 2023

Recently, novel viral infections such as COVID-19 have spread and pose a serious public health problem. In particular, these diseases have a fatal effect on the elderly, threatening life and causing serious social and economic losses. Accordingly, applications such as telemedicine, healthcare, and disease prevention using the Internet of Things (IoT) and artificial intelligence (AI) have been introduced in many industries to improve disease detection, monitoring, and quarantine performance. However, since existing technologies are not applied quickly and comprehensively to the sudden emergence of infectious diseases, they have not been able to prevent large-scale infection and the nationwide spread of infectious diseases in society. Therefore, in this paper, we try to predict the spread of infection by collecting various infection information with regional limitations through a virus disease information collector and performing AI analysis and severity matching through an AI broker. Finally, through the Korea Centers for Disease Control and Prevention, danger alerts are issued to the elderly, messages are sent to block the spread, and information on evacuation from infected areas is quickly provided. A realistic elderly support system compares the location information of the elderly with the information of the infected area and provides an intuitive danger area (infected area) avoidance function with an augmented reality-based smartphone application. When the elderly visit an infected area is confirmed, quarantine management services are provided automatically. In the future, the proposed system can be used as a method of preventing a crushing accident due to sudden crowd concentration in advance by identifying the location-based user density.