Browse > Article
http://dx.doi.org/10.30693/SMJ.2022.11.11.32

Automatic Generation Tool for Open Platform-compatible Intelligent IoT Components  

Seoyeon Kim (인하대학교 인간중심컴퓨팅연구소)
Jinman Jung (인하대학교 컴퓨터공학과)
Bongjae Kim (충북대학교 컴퓨터공학과)
Young-Sun Yoon (한남대학교 정보통신공학과)
Joonhyouk Jang (한남대학교 컴퓨터공학과)
Publication Information
Smart Media Journal / v.11, no.11, 2022 , pp. 32-39 More about this Journal
Abstract
As IoT applications that provide AI services increase, various hardware and software that support autonomous learning and inference are being developed. However, as the characteristics and constraints of each hardware increase difficulties in developing IoT applications, the development of an integrated platform is required. In this paper, we propose a tool for automatically generating components based on artificial neural networks and spiking neural networks as well as IoT technologies to be compatible with open platforms. The proposed component automatic generation tool supports the creation of components considering the characteristics of various hardware devices through the virtual component layer of IoT and AI and enables automatic application to open platforms.
Keywords
IoT Application; Autonomous IoT; Neuromorphic Hardware; Spiking Neural Networks;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Michael Blackstock, and Rodger Lea, "Toward a distributed data flow platform for the web of things (distributed node-red)," In Proceedings of the 5th International Workshop on Web of Things, pp. 34-39, Oct. 2014.
2 김서연, 윤영선, 은성배, 차신, 정진만, "AI 컴포넌트 추상화 모델 기반 자율형 IoT 통합개발환경 구현," 한국인터넷방송통신학회 논문지, 제21권, 제5호, 71-77쪽, 2021년 10월
3 김서연, 윤영선, 정진만, "IoT 응용 개발자를 위한 프로그래밍 패러다임 조사," 한국차세대컴퓨팅 학회 춘계학술대회, 315-316쪽, 광주, 대한민국, 2021년 5월
4 Vijender K. Solanki, Vicente G. Diaz, and Paulo J. Davim, eds., ''Handbook of IoT and Big Data," CRC Press, 2019.
5 Karina Hauser, Helgi S. Sigurdsson, and Katherine M. Chudoba, "EDSOA: An event-driven service-oriented architecture model for enterprise applications," International Journal of Management & Information Systems (IJMIS), Vol. 14, No.3, pp. 37-48, Jul. 2010.
6 Fortino, Giancarlo, Wilma Russo, and Claudio Savaglio, ''Simulation of Agent-oriented Internet of Things Systems," In Proceedings of the 17th Workshop from Objects to Agents, pp. 8-13, Apr. 2016.
7 박현문, 황태호, "엣지컴퓨팅기술의 변화와 동향", 한국통신학회지(정보와통신), 제36권, 제2호, 41-47쪽, 2019년 1월
8 김선욱, 최현화, 장수민, 김대원, 차재근, "지능형 엣지 서비스를 위한 클라우드 엣지 SW 플랫폼 기술 동향," 한국통신학회지(정보와통신), 제37권, 제8호, 46-54쪽, 2020년 8월.
9 유상록, 이건명, 윤영선, 홍지만, "뉴로모픽 모델과 기계학습 모델을 지원하는 자율형 IoT 프로그래밍 패러다임," 정보과학회논문지, 제47권, 제3호, 310-318쪽, 2020년 3월.
10 Trevor Bekolay, et el" "Nengo: a Python tool for building large-scale functional brain models, Frontiers in neuroinformatics, Vol. 7, article. 48, pp. 2-13, Jan. 2014.   DOI
11 Terasic Del-SoC Board, http://del-soc.terasic.com/ (accessed Nov., 14, 2022).
12 Xilinx PYNQ, http://www.pynq.io/ (accessed Nov., 14, 2022).
13 Chan S. Han, and Keon M. Lee, "Spiking Neural Network Transformer for Deploying into a Deep Learning Framework," In Proceedings of the International Conference on Research in Adaptive and Convergent Systems (RACS '20), Association for Computing Machinery, New York, NY, USA, pp. 82-83, Nov. 2020.
14 Kicheol Park, and Bongjae Kim. "Dynamic neuromorphic architecture selection scheme for intelligent Internet of Things services." Concurrency and Computation: Practice and Experience, pp. 1-10, May, 2021.