KIPS Transactions on
Software and Data Engineering
Frequency: Monthly, ISSN 2287-5905 (Print), ISSN 2734-0503 (Online)
KIPS Trans. Softw. and Data Eng. was merged and renamed from The KIPS Transaction: Part B (1598-284X) and The KIPS Transaction: Part D (1598-2866), which were first published in 1994. After the official meeting of the Korea Information Processing Society in April 13, 2012 in Seoul, Korea, the board members of the Society decided to publish the journal dealing with software and data engineering research not only in Korea but also in the world. This work was supported by the Korean Federation of Science and Technology Societies (KOFST) grant funded by the Korean Government, indexed by Korea Science, Korea Citation Index (KCI), and EBSCO.
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Most Downloaded Papers (2022 ~ 2024) more
Temporal Fusion Transformers and Deep Learning Methodsfor Multi-Horizon Time Series Forecasting
KIPS Transactions on Software and Data Engineering, Vol. 11, No. 2, pp. 81-86, Feb. 2022
https://doi.org/10.3745/KTSDE.2022.11.2.81
Keywords: Time Series, Multi-variate Data Analysis, Multi-horizon Forecasting, Deep Learning, Neural Networks
Electric Power Demand Prediction Using Deep Learning Model with Temperature Data
KIPS Transactions on Software and Data Engineering, Vol. 11, No. 7, pp. 307-314, Jul. 2022
https://doi.org/10.3745/KTSDE.2022.11.7.307
Keywords: Electric Power Demand Prediction, Deep Learning, WaveNet, Temperature Data
Deep Learning Based Semantic Similarity for Korean Legal Field
KIPS Transactions on Software and Data Engineering, Vol. 11, No. 2, pp. 93-100, Feb. 2022
https://doi.org/10.3745/KTSDE.2022.11.2.93
Keywords: NLP, LegalTech, Semantic similarity, BERT, Legal
Design of Robot Arm for Service Using Deep Learning and Sensors
KIPS Transactions on Software and Data Engineering, Vol. 11, No. 5, pp. 221-228, May. 2022
https://doi.org/10.3745/KTSDE.2022.11.5.221
Keywords: Robot Arm, Deep Learning, Inverse Kinematics, Force Sensor
De Novo Drug Design Using Self-Attention Based Variational Autoencoder
KIPS Transactions on Software and Data Engineering, Vol. 11, No. 1, pp. 11-18, Jan. 2022
https://doi.org/10.3745/KTSDE.2022.11.1.11
Keywords: De Novo Drug Design, SMILES, Deep Learning, self-attention, Variational AutoEncoder
Latest Publication | (Vol. 13, No.1, Jan. 2024)|
Analysis of the Effectiveness of Big Data-Based Six Sigma Methodology: Focus on DX SS
KIPS Transactions on Software and Data Engineering, Vol. 13, No. 1, pp. 1-16, Jan. 2024
https://doi.org/10.3745/KTSDE.2024.13.1.1
Keywords: Big data, 6 Sigma, Effectiveness Analysis, Key Success Policy
Kernel-Based Video Frame Interpolation Techniques Using Feature Map Differencing
KIPS Transactions on Software and Data Engineering, Vol. 13, No. 1, pp. 17-27, Jan. 2024
https://doi.org/10.3745/KTSDE.2024.13.1.17
Keywords: Deep Learning, Frame Differencing, Video Frame Interpolation, U-net
Exploring the Motivational Factors Influencing on Learner Participation of
KIPS Transactions on Software and Data Engineering, Vol. 13, No. 1, pp. 28-34, Jan. 2024
https://doi.org/10.3745/KTSDE.2024.13.1.28
Keywords: Adult Learner, E-learning, Learning Motivation, Motivational Factor, Learner Participation
Analysis of Research Trends in Deep Learning-Based Video Captioning
KIPS Transactions on Software and Data Engineering, Vol. 13, No. 1, pp. 35-49, Jan. 2024
https://doi.org/10.3745/KTSDE.2024.13.1.35
Keywords: Video Captioning, computer vision, Natural Language Processing, Deep Learning
Publication Ethics
With regard to ethical standards, KTSDE (KIPS Transactions on Software and Data Engineering) takes plagiarism very seriously and thoroughly checks all articles. KTSDE defines research ethics as securing objectivity and accuracy in the execution of research and the conclusion of results without any unintentional errors resulting from negligence or incorrect knowledge, etc. and without any intentional misconduct such as falsification, plagiarism, etc. When an author submits a paper to the KTSDE online submission and peer-review system, he/she should also upload the separate file "author check list" which contains a statement that all his/her research has been performed in accordance with ethical standards.
Among the KTSDE editorial board members, there are vice editor-in-chiefs who support KTSDE by dealing with any ethical problems associated with the publication process and give advice on how to handle cases of suspected research and publication misconduct. When the KTSDE manuscript editor (or the KTCCS secretary) looks over submitted papers and checks that they are suitable for further processing, the manuscript editor also routes them to the CrossCheck service provided by iThenticate. Based on the results provided by the CrossCheck service, the KTSDE vice editor-in-chiefs inform the KTSDE editor-in-chief of any plagiarism that is detected in a paper. Then, the KTSDE editor-in-chief communicates such detection to the author(s) while rejecting the paper.
Open Access
Since 2012, all papers published in KTSDE are subjected to a peer review and upon acceptance are immediately made permanently available free of charge for everyone worldwide to read and download from the journal’s homepage (http://ktsde.kips.or.kr) without any subscription fee or personal registration. They are 'Open Access' papers distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. This policy supports and encourages the publication of quality papers, making the journal an international forum for the exchange of different ideas and experiences.
Contact Information
KTSDE Secretary:
HWAN-HEE CHO
Email: chh@kips.or.kr
Phone: +82-2-2077-1414, Fax: +82-2-2077-1472