• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.719-722
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• 2016

These days there have been trying to fuse the various of IoT (Internet of Things) technology over the industrial field. However the complicated IoT System structure comprised of sensor devices, gateway, network server, and application server causes the difficulties to the system implementation and the increment of installation cost, thereby preventing IoT system deployment in the industry fit for small size network environment. In this paper, authors propose a novel IoT system architecture that is useful in the industry field to be implemented by the small size network with low cost. Also, we implement the infrastructure to RF433 wireless sensor network, the gateway on ARDUINO YUN, and the application server using AMP (Apache, PHP, MySQL) package and then present a power efficient management scheme for sensor devices.

• Proceedings of the KIPE Conference
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• 2017.07a
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• pp.497-498
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• 2017

Electrical fire is a bit part of the cause of a fire. To reduce fire, we study the system for efficient alert for ARC which is the most part of electrical fire. We use IoT to alert managers faster to prevent accident.

• Smart Media Journal
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• v.11 no.2
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• pp.63-69
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• 2022

As the use of various IoT devices increases, the importance of IoT platforms is also rising. Recently, artificial intelligence technology is being combined with IoT devices, and research applying a neuromorphic architecture to IoT devices with low power is also increasing. In this paper, an application scenario is proposed based on NA-IDE (Neuromorphic Architecture-based autonomous IoT application integrated development environment) with IoT devices and FPGA devices in a GUI format. The proposed scenario connects a camera module to an IoT device, collects MNIST dataset images online, recognizes the collected images through a neuromorphic board, and displays the recognition results through a device module connected to other IoT devices. If the neuromorphic architecture is applied to many IoT devices and used for various application services, the autonomous IoT application integrated development environment based on the neuromorphic architecture is expected to emerge as a core technology leading the 4th industrial revolution.

• Smart Media Journal
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• v.11 no.3
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• pp.18-25
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• 2022

Neuromorphic computing generally shows significantly better power, area, and speed performance than neural network computation using CPU and GPU. These characteristics are suitable for resource-constrained IoT environments where energy consumption is important. However, there is a problem in that it is necessary to modify the source code for environment setting and application operation according to heterogeneous IoT devices that support neuromorphic computing. To solve these problems, NAAL was proposed and implemented in this paper. NAAL provides functions necessary for IoT device control and neuromorphic architecture abstraction and inference model operation in various heterogeneous IoT device environments based on common APIs of NAAL. NAAL has the advantage of enabling additional support for new heterogeneous IoT devices and neuromorphic architectures and computing devices in the future.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.73-74
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• 2017

SVM(Support Vector Machine) 알고리즘은 대표적인 기계 학습 분류 알고리즘으로 감정 분석, 제스처 인식 등 다양한 분야의 문제를 해결하기 위해 사용되고 있다. SVM 알고리즘은 분리경계면(Hyper-Plane) 또는 분리경계면 집합 중 지지벡터(Support Vector)라 불리는 특정한 점들로 이루어진 두 그룹 간의 거리 차이(Margin)를 최대로 하는 분리경계면을 이용하여 데이터를 분류하는 알고리즘이다. 높은 정확도를 제공하지만 처리 속도가 느리며 학습을 위해 대량의 데이터 및 메모리가 필요하기 때문에 자원이 제한적인 IoT 환경에서 사용이 어렵다. 본 논문에서는 자원이 제한된 IoT 노드를 기반으로 효율적으로 데이터를 학습하기 위해 K-means 알고리즘을 이용하여 SVM 알고리즘의 저전력화 방안을 연구한다.

• Annual Conference of KIPS
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• 2017.04a
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• pp.1201-1202
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• 2017

최근 IoT 관련 제품들과 IoT를 구현하기 위한 저전력 무선통신에 대한 관심이 높아지고 있다. 저전력 무선통신의 대표적인 예로는 BLE, Zigbee, Wifi, Z-Wave 등이 있다. 본 논문에서는 이러한 저전력 무선통신을 이용하는 디바이스들과 실시간으로 연동할 수 있는 저전력 무선통신 인터페이스 플랫폼을 설계하는 방법을 설명한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1158-1164
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• 2020

In Korea, the dependence on imported energy is very high, and research to reduce standby power is being conducted based on Zigbee, a low-power technology, to reduce wasted power and improve power efficiency. However, because Zigbee is not an IoT standard protocol and is not network-based, it is necessary to build a network with a separate gateway, and research on standby power is insufficient because the standards for international power consumption of devices are ambiguous. Therefore, in this paper, we applied the IoT standard protocol MQTT to the existing Zigbee technology to build a network network without a separate gateway, and designed and implemented a standby power reduction system that collects standby power degradation and user patterns. As a result of evaluating with the existing system, it was confirmed that about 7.11% of standby power was consumed compared to the existing system.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.223-223
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• 2020

하천 조사에 드론의 필요성은 점차 증가하고 있으며, 하천시설 조사 및 하천 물리량 간접 계측 등에 있어서 활용성 또한 증가하고 있다. 드론을 이용한 하천시설 및 하천 조사는 주로 광학 영상에 기초한 간접 계측을 중심으로 활발히 기술 개발이 진행되고 있으며, 최근에는 적용하는 임무장비를 확장하여 초분광카메리나 LiDAR 등을 활용하려는 시도가 활발히 이루어지고 있으며, 관련 기술의 개발도 역시 급격히 진행되고 있다. 이러한 기술 발전을 통해 하천 조사에 있어서 간접 계측의 정확도는 계속하여 증가하고 있으나, 기술의 편리성이나 활용성에 비해 정확도 향상에는 어느 정도 한계가 있으며, 간접 계측에 의한 정확도를 확보하기 위해서는 여전히 직접 계측 결과와 비교를 통한 검보정이 필수적이다. 직접 계측은 첨단 계측기를 사용한다고 하더라도 아직까지 인력에 의한 의존도가 높으며, 측정 효율이 여전히 떨어지고 있어 간접 계측의 편리성을 저하시키는 원인으로 작용하고 있다. 본 연구에서는 드론 기반의 간접 계측이 편리성 및 활용성, 정확도를 올리 수 있는 무인 IoT 수질 측정기를 개발하고자 한다. 무인 IoT 수질 측정기는 드론에서 측정한 자료 검보정 자료 획득을 목표로 하며, 드론으로 측정한 지역에 대한 데이터 검보정 정확도를 향상 시킬 수 있는 측정방안을 고려하고 있으며, 현재 이용 가능한 IoT 통신 모듈의 적용성 및 통신 거리를 고려하여 개발을 진행하고 있다. 특히 데이터 전송을 고려하여 개별 통신 규약 검토를 진행하였으며, 각종 표준을 검토하였다. 통신을 위한 전력 소모를 고려하여 저전력 통신 모듈을 중심으로 검토를 진행하였으며, 하천의 특성을 고려한 수질 측정 지점 결정을 위한 측정 알고리즘을 개발하여 적용하였다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.6
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• pp.117-122
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• 2022

In this paper, we developed a vehicle control terminal using IoT and low-power long-distance communication (NB-IoT) technology. This system collects information on the location and status of a parked vehicle, and transmits the vehicle status to the vehicle owner's terminal in real time with low power to prevent vehicle theft, and in the case of a vehicle in motion, When primary information about the vehicle, such as an impact, is collected and transmitted to the server, the server analyzes the relevant data to generate secondary information on traffic congestion, road damage, and safety accidents. By sending it, you can know the exact arrival time of the vehicle at its destination. This terminal device is an IoT gateway for a vehicle and can be connected to various wired and wireless sensors inside the vehicle. In addition, the data collected from vehicle maintenance, efficient operation, and vehicles can be usefully used in the private or public sector.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1105-1112
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• 2022

Field data monitoring systems such as renewable energy generation and smart farm integrated control are developing from PC and server to mobile first, and various wireless communication and application services have emerged with the development of IoT technology. Low-power wide-area networks are services optimized for low-power, low-capacity, and low-speed data transmission, and data collected in the field is transmitted to designated storage servers or cloud-based data platforms, enabling data monitoring. In this paper, we implement an IoT repeater that collects field data with a single device and transmits it to a wireless carrier cloud data flat using a low-power wide-area network, and a monitoring app using it. Using this, the system configuration is simpler, the cost of deployment and operation is lower, and effective data accumulation is possible.