• Electronics and Telecommunications Trends
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• v.35 no.6
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• pp.78-87
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• 2020

With the evolution of the Internet of Things (IoT), a computing paradigm shift from cloud to edge computing is rapidly taking place to effectively manage the rapidly increasing volume of data generated by various IoT devices. Edge computing is computing that occurs at or near the physical location of a user or data source. Placing computing services closer to these locations allows users to benefit from faster and more reliable services, and enterprises can take advantage of the flexibility of hybrid cloud computing. This paper describes the concept and main benefits of edge computing and presents the trends and future prospects for edge computing technology.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.1
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• pp.116-121
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• 2016

In Internet of things (IoT) area, researches on recognizing human emotion are increasing recently. Generally, multi-modal features like facial images, bio-signals and voice signals are used for the emotion recognition. Among the multi-modal features, voice signals are the most convenient for acquisition. This paper proposes an emotion recognition method using tone and tempo based on voice. For this, we make voice databases from broadcasting media contents. Emotion recognition tests are carried out by extracted tone and tempo features from the voice databases. The result shows noticeable improvement of accuracy in comparison to conventional methods using only pitch.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.343-344
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• 2018

장애인들의 안전사고 비율이 증가함에 따라 이에 대한 대비책에 대해 사회적인 관심이 집중되고 있다. 특히 청각장애인의 경우 실외에서 시야가 확보되지 않으면 상대적으로 위험에 취약하다. 본 논문은 청각장애인들이 듣지 못하는 위험한 상황에 대해 IoT 센서를 부착한 목걸이 형태의 웨어러블 기기를 통해 소리를 감지하고 알림을 주는 시스템을 제안한다. 제시된 시스템을 통해 감지된 소리를 진동과 함께 시각적으로 사용자에게 보여주어 위험한 상황을 대비할 수 있는 웨어러블 시스템을 설계하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.15-18
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• 2016

본 논문에서는 오픈 소스 하드웨어와 소프트웨어만을 이용해 IoT 콘트롤러를 구현한다. 콘트롤러는 무선 AP와 블루투스(Bluetooth), 지그비(ZigBee)등의 무선 통신을 이용하여 디바이스를 제어 및 처리하고 IPTV 셋탑 기능 등을 수행하는 컨트롤러로, 로컬 환경 전체에 한 대의 디바이스를 이용하여 센싱 및 정보 처리를 수행할 수 있는 시스템을 설계한다.

• Electronics and Telecommunications Trends
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• v.37 no.5
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• pp.44-53
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• 2022

The Internet of Things (IoT) is growing exponentially, with the number of IoT devices multiplying annually. Accordingly, the paradigm is changing from cloud computing to edge computing and even tiny edge computing because of the low latency and cost reduction. Machine learning is also shifting its role from the cloud to edge or tiny edge according to the paradigm shift. However, the fragmented and resource-constrained features of IoT devices have limited the development of artificial intelligence applications. Edge MLaaS (Machine Learning as-a-Service) has been studied to easily and quickly adopt machine learning to products and overcome the device limitations. This paper briefly summarizes what Edge MLaaS is and what element of research it requires.

• Annual Conference of KIPS
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• 2023.11a
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• pp.162-163
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• 2023

본 논문은 휠체어 사용자들이 직면하는 안전, 이동성 자립성 등의 문제를 해소하는 것을 목적으로 하는 internet of things(IoT) 기반 스마트 휠체어를 연구하였다. 본 연구에서는 휠체어의 중요한 기능인 경사로에 따라 자동으로 기울기가 조정되는 기능을 중점적으로 개발했다. 이 기능은 사용자의 안전을 보장하며, 동시에 이동의 편의성을 증가시키는 역할을 한다.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.351-357
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• 2021

IoT devices, which are used in various ways in distributed environments, are becoming more important in data transmitted and received from IoT devices as fields of use such as medical, environment, transportation, bio, and public places are diversified. In this paper, as a method to ensure the reliability of IoT data, an autoencoder-based IoT-linked processing technique is proposed to classify and process numerous data by various important attributes. The proposed technique uses correlation indices for each IoT data so that IoT data is grouped and processed by blockchain by characteristics for IoT linkage processing based on autoencoder. The proposed technique expands and operates into a blockchain-based n-layer structure applied to the correlation index to ensure the reliability of IoT data. In addition, the proposed technique can not only select IoT data by applying weights to IoT collection data according to the correlation index of IoT data, but also reduce the cost of verifying the integrity of IoT data in real time. The proposed technique maintains the processing cost of IoT data so that IoT data can be expanded to an n-layer structure.

• 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.

• Journal of information and communication convergence engineering
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• v.15 no.3
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• pp.160-164
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• 2017

Public key cryptography (PKC) is the basic building block for the cryptography applications such as encryption, key distribution, and digital signature scheme. Among many PKC, elliptic curve cryptography (ECC) is the most widely used in IT systems. Recently, very efficient Montgomery-Twisted-Edward (MoTE)-ECC was suggested, which supports low complexity for the finite field arithmetic, group operation, and scalar multiplication. However, we cannot directly adopt the MoTE-ECC to new PKC systems since the cryptography is not fully evaluated in terms of performance on the Internet of Things (IoT) platforms, which only supports very limited computation power, energy, and storage. In this paper, we fully evaluate the MoTE-ECC implementations on the representative IoT devices (16-bit MSP processors). The implementation is highly optimized for the target platform and compared in three different factors (ROM, RAM, and execution time). The work provides good reference results for a gradual transition from legacy ECC to MoTE-ECC on emerging IoT platforms.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.231-233
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• 2015

스마트 기기의 범위가 휴대폰을 벗어나 다양한 제품 및 가전으로 확대됨에 따라 부가가치 창출에 유리한 사물인터넷 시장(IoT)이 최근에 각광받고 있다. 사물 인터넷 시장이 확대되고, 방대해지는 스마트 기기의 종류에 따라 사용자가 효율적으로 제어할 수 있는 제어 시스템 구축이 필요하다. 특히 많은 기기 중에서 사용자가 제어하고자 하는 기기를 선택해 제어하는 방식은 사용하기 불편하다. 이러한 사물 인터넷의 특성을 파악하여 본 논문에서는 가정 내에서 사용자의 실내 위치를 기반으로 제어하고자 하는 가전을 직관적 인터페이스를 통해 제어할 수 있는 새로운 제어 패러다임을 시도하였다.