Journals since 2009

[2023]

ISSN 2287-5026 (Print) / ISSN 2288-159X (Online) https://doi.org/10.5573/ieie.2023.60.9.39
Received June 7, 2023 / Revised June 26, 2023 / Accepted July 11, 2023
Acknowledgement/Funding: 본 연구는 행정안전부의 재원으로 방역연계범부처 감염병연구개발 사업단의 지원을 받아 수행되었습니다 (과제고유번호 : 20016180).

ISSN 2287-5026 (Print) / ISSN 2288-159X (Online)  https://doi.org/10.5573/ieie.2023.60.7.20
Received May 8, 2023 / Revised May 30, 2023 / Accepted June 12, 2023
Acknowledgement/Funding: 본 연구는 행정안전부의 재원으로 방역연계범부처 감염병연구개발 사업단의 지원을 받아 수행되었습니다 (과제고유번호 : 20016180).

ISSN 2076-3417 eISSN 2076-3417 https://doi.org/10.3390/app13116822
Received: 18 February 2023 / Revised: 29 May 2023 / Accepted: 2 June 2023 / Published: 4 June 2023
Acknowledgement/Funding: This research was supported by the Culture, Sports and Tourism R&D Program through the Korea Creative Content Agency grant funded by the Ministry of Culture, Sports and Tourism in 2022 (project name: Development of high-speed music search technology using deep learning; project number: CR202104004).

pISSN : 1225-4428 eISSN : 2287-3775  https://doi.org/10.7776/ASK.2023.42.3.221
Received April 18, 2023 / accepted May 17, 2023 / published May 31 2023.
Acknowledgement/Funding: 본 연구는 행정안전부의 재원으로 방역연계범부처 감염병연구개발 사업단의 지원을 받아 수행되었습니다 (과제고유번호 : 20016180).

[2022]

ISSN 0957-4174 EISSN 1873-6793 https://doi.org/10.1016/j.eswa.2022.118511
Received 16 July 2021 / Received in revised form 10 June 2022 / Accepted 9 August / Available online 11 August 2022
Acknowledgement/Funding: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1G1A1099733). This work was partly supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (No. 2017-0-00451: Development of BCI based Brain and Cognitive Computing Technology for Recognizing User’s Intentions using Deep Learning and No.2021-0-02068: Artificial Intelligence Innovation Hub). This study was also supported by the BK21 Four project funded by the Ministry of Education, Korea (4199990113966) and Brain Research Program through the NRF – Ministry of Science, ICT & Future Planning (NRF-2016M3C7A1905475).

ISSN 2072-6694 https://doi.org/10.3390/cancers14143400
Received: 22 May 2022 / Revised: 5 July 2022 / Accepted: 11 July 2022 / Published: 13 July 2022
(Special Issue on Deep Neural Networks for Cancer Screening and Classification)
Acknowledgement/Funding: This research was supported by the Government-wide R&D Fund for Infections Disease Research (GFID), funded by the Ministry of the Interior and Safety, Republic of Korea (grant number: 20016180, 100%).

ISSN 2079-9292 https://doi.org/10.3390/electronics11101649
Received: 25 April 2022 / Revised: 18 May 2022 / Accepted: 20 May 2022 / Published: 22 May 2022
Acknowledgement/Funding: This research was supported by the Government-wide R&D Fund for Infections Disease Research (GFID), funded by the Ministry of the Interior and Safety, Republic of Korea (grant number: 20016180, 100%). De-identified pathology images and annotations used in this research were prepared and provided by the Seoul National University Hospital by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (grant number: HI18C0316).

[2021]

ISSN 2076-3417. https://doi.org/10.3390/app11157026
Received: 1 July 2021 / Accepted: 26 July 2021 / Published: 29 July 2021
Acknowledgment/Funding: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2017M3C1B6071399), and by the Technology Innovation Program (20016180, Forecast of overseas inflow of new infectious diseases and development of intelligent blocking technology) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea).

ISSN 2076-3417. https://doi.org/10.3390/app11010428
Received: 2 December 2020 / Accepted: 30 December 2020 / Published: 4 January 2021
Acknowledgment/Funding: This work was supported by Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (No. R7124-16-0004, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding), by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2017M3C1B6071400), and the BK21 Plus project funded by the Ministry of Education, Korea (21A20131600011).

[2020]

ISSN / eISSN: 0920-8542 / 1573-0484. https://doi.org/10.1007/s11227-019-02785-x
Published: 1 October 2020 (online: 21 February 2019)
Acknowledgment/Funding: This research was supported by Korea Electric Power Corporation (Grant no.:R18XA05) and by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (Grant no.:NRF-2017M3C1B6071400).

ISSN 1976-7277. https://doi.org/10.3837/tiis.2020.07.003
Received November 29, 2019; revised February 3, 2020; accepted May 8, 2020; published July 31, 2020
Acknowledgment/Funding: This work was supported by the Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. R7124-16-0004, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding, 50%) and by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2017M3C1B6071400, 50%).

ISSN 2076-3417. https://doi.org/10.3390/app10072465
Received: 2 February 2020 / Revised: 29 March 2020 / Accepted: 30 March 2020 / Published: 3 April 2020
Acknowledgment/Funding: This work was supported by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. R7124-16-0004, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding), the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2017M3C1B6071400), and the BK21 Plus project funded by the Ministry of Education, Korea (21A20131600011).

ISSN 2291-5222.  https://doi.org/10.2196/16467
Acknowledgment/Funding: This research was supported by the Samsung Research Funding Center of Samsung Electronics under Project Numbers SRFC-IT1502-54, and the National Research Foundation of Korea grant from the Korean government (No. 2017009566).


[2019]

http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE08000229
https://doi.org/10.5626/KTCP.2019.25.4.223
Publisher: KOREA INFORMATION SCIENCE SOCIETY (한국정보과학회)
Acknowledgment/Funding: 본 연구는 한국전력공사의 2018년 착수 에너지 거점대학 클러스터 사업에 의해 지원되었음(과제번호:R18XA05). 또한, 본 연구는 2017년도 정부(미래창조과학부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. NRF-2017M3C1B6071400). 이 논문은 2018 한국컴퓨터종합학술대회에서 ‘확률적 어텐션을 사용한 양방향 LSTM 기반 음성/음악 피치 분류’의 제목으로 발표된 논문을 확장한 것임.


[2018]

ISSN 2287-5026(Print) / ISSN 2288-159X(Online) / https://doi.org/10.5573/ieie.2018.55.7.40Received January 17, 2018; Revised June 18, 2018; Accepted June 24, 2018Acknowledgment/Funding: 이 논문은 2017년도 정부(미래창조과학부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. NRF-2017M3C1B6071400, 50%, No. NRF-2017R1E1A2A02023371, 50%).
ISSN: 1976-7277 / eISSN: 1976-7277 / http://doi.org/10.3837/tiis.2018.06.017Publisher: KSII-KOR SOC INTERNET INFORMATION 한국인터넷정보학회Acknowledgment/Funding: This work was supported by the ICT R&D program of MSIP/IITP. [2015-0-00225, Development of Media Application Framework based on Multi-modality which enables Personal Media Reconstruction].

[2017]

Print ISSN: 0013-5194 (2016 IF 1.155 Rank 179/262 Q3 31.870) http://doi.org/10.1049/el.2017.2013 
Date of Publication: 02 November 2017  

Publisher: IEEE  Print ISSN: 1673-5447 (2016) IF 0.903 Rank 78/89 Q4 12.921 / http://doi.org/10.1109/CC.2017.8068761 
Date of Publication: 16 October 2017

eISSN: 1976-7277 (2016) IF 0.452 Rank 143/146 Q4 2.397  http://doi.org/10.3837/tiis.2017.09.005 

ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195

ISSN: 1939-1374. http://doi.org/10.1109/TSC.2015.2477835 

ISSN(P): 2249-6890; ISSN(E): 2249-8001 

ISSN: 0893-6080. http://doi.org/10.1016/j.neunet.2016.12.002 

ISSN: 0925-2312. http://doi.org/10.1016/j.neucom.2016.11.015 

[2016]

장길진. 복층 자기부호화기를 이용한 음향 신호 군집화 및 분리. 한국음향학회지 제 35 권 제 4 호, pp. 303-309, 2016년 7월.
pISSN : 1225-4428. http://dx.doi.org/10.7776/ASK.2016.35.4.***
Received June 9, 2016; revised June 22, 2016; accepted July 13, 2016

강준수, 장길진, 이민호*. 뇌파 신호 기반 스트레스 상태 분류
pISSN 2289-0238, eISSN 2289-0246. http://dx.doi.org/10.7236/JIIBC.2016.16.3.103

김지훈, 조현래, 장길진, 이민호*. 운전자 시선 및 선택적 주의 집중 모델 통합 해석을 통한 운전자 보조 시스템
pISSN 2289-0238, eISSN 2289-0246. http://dx.doi.org/10.7236/JIIBC.2016.16.3.115 

http://dx.dio.org/10.1007/s11042-013-1788-y  Published online 05 December 2013.

ISSN: 1975-0080 IJMUE. http://dx.doi.org/10.14257/ijmue.2016.11.2.07 

ISSN: 1738-9984 IJSEIA. http://dx.doi.org/10.14257/ijseia.2016.10.1.27 

[2015]

http://dx.doi.org/10.1155/2015/641312
Accepted 16 December 2014, Published 28 September 2015

ISSN 1070-9908 http://dx.doi.org/10.1109/LSP.2015.2417592 

ISSN 1070-9908 http://dx.doi.org/10.1109/LSP.2014.2372762 

http://dx.doi.org/10.1007/s11042-013-1846-5 

[2014]

정경중, 최재식, 장길진. 얼굴정렬과 AdaBoost를 이용한 얼굴 표정 인식. 2014년 11월 24일 전자공학회 논문지 제 51권 제 11 호

http://dx.doi.org/10.5573/ieie.2014.51.11.193 

장길진, 조아라, 박정식*, 서용호. Active Shape Model과 통계적 패턴인식기를 이용한 얼굴 영상 기반 감정인식.

pISSN 2289-0238, eISSN 2289-0246

[2013]

[2012]

[2011]

[2009]

Most of the above articles are copyrighted to the publishers, so I do not provide the electronic versions (pdf files) in this website. I would like to recommend you to access the papers via the official links provided by the publishers. They can be easily found by web search.