KIPS Transactions on
Software and Data Engineering

Published by KIPS (Korea Information Processing Society)
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.

Online Submission

Highlights more

Improving Fidelity of Synthesized Voices Generated by Using GANs

Although Generative Adversarial Networks (GANs) have gained great popularity in computer vision and related fields, generating audio signals independently has yet to be presented. Unlike images, an audio signal is a sampled signal consisting of discr...
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C-COMA: A Continual Reinforcement Learning Model for Dynamic Multiagent Environments

It is very important to learn behavioral policies that allow multiple agents to work together organically for common goals in various real-world applications. In this multi-agent reinforcement learning (MARL) environment, most existing studies have a...
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LSTM(Long Short-Term Memory)-Based AbnormalBehavior Recognition Using AlphaPose

A person's behavioral recognition is the recognition of what a person does according to joint movements. To this end, we utilize computer vision tasks that are utilized in image processing. Human behavior recognition is a safety accident response se...
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Korean Dependency Parsing Using Stack-Pointer Networksand Subtree Information

In this work, we develop a Korean dependency parser based on a stack-pointer network that consists of a pointer network and an internal stack. The parser has an encoder and decoder and builds a dependency tree for an input sentence in a depth-first ...
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Most Downloaded Papers (2020 ~ 2022) more

Korean Machine Reading Comprehension for Patent Consultation Using BERT
Jae-Ok Min, Jin-Woo Park, Yu-Jeong Jo, Bong-Gun Lee
KIPS Transactions on Software and Data Engineering, Vol. 9, No. 4, pp. 145-152, Apr. 2020
https://doi.org/10.3745/KTSDE.2020.9.4.145
Keywords: Natural Language Processing, MRC, Machine Reading Comprehension, Patent, BERT

KG_VCR: A Visual Commonsense Reasoning Model Using Knowledge Graph
JaeYun Lee, Incheol Kim
KIPS Transactions on Software and Data Engineering, Vol. 9, No. 3, pp. 91-100, Mar. 2020
https://doi.org/10.3745/KTSDE.2020.9.3.91
Keywords: Visual Commonsense Reasoning, deep neural network, Graph Convolutional Network, Knowledge Graph Embedding

Prediction of English Premier League Game Using an Ensemble Technique
Yi Jae Hyun, Lee Soo Won
KIPS Transactions on Software and Data Engineering, Vol. 9, No. 5, pp. 161-168, May. 2020
https://doi.org/10.3745/KTSDE.2020.9.5.161
Keywords: Machine Learning, Artificial intelligence, Sports Game Prediction, Ensemble Technique, Data Analysis

Topic Analysis of the National Petition Site and Prediction of Answerable Petitions Based on Deep Learning
Woo Yun Hui, Hyon Hee Kim
KIPS Transactions on Software and Data Engineering, Vol. 9, No. 2, pp. 45-52, Feb. 2020
https://doi.org/10.3745/KTSDE.2020.9.2.45  
Keywords: National Petition, Topic Analysis, topic modeling, K-Means Clustering, LSTM, Deep Learning

Design and Implementation of Immersive Media System Based on Dynamic Projection Mapping and Gesture Recognition
Kim Sang Joon, Koh You Jin, Yoo-Joo Choi
KIPS Transactions on Software and Data Engineering, Vol. 9, No. 3, pp. 109-122, Mar. 2020
https://doi.org/10.3745/KTSDE.2020.9.3.109
Keywords: Dynamic Projection Mapping, Realistic Media, Augmented Reality, Drawing System

Latest Publication | (Vol. 10, No.12, Dec. 2021)|

Cancer Patient Specific Driver Gene Identification by Personalized Gene Network and PageRank
Jung Hee Won, Park Ji Woo, Ahn Jae Gyoon
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 547-554, Dec. 2021
https://doi.org/10.3745/KTSDE.2021.10.12.547
Keywords: Cancer Driver Gene, Gene Network, PageRank, Multi Omics Analysis

A Study on Facial Skin Disease Recognition Using Multi-Label Classification
Chae Hyun Lim, Son Min Ji, Kim Myung Ho
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 555-560, Dec. 2021
https://doi.org/10.3745/KTSDE.2021.10.12.555
Keywords: Deep Learning, Multi-label classification, Skin Diseases

A Study of Tram-Pedestrian Collision Prediction Method Using YOLOv5 and Motion Vector
Young-Min Kim, Hyeon-Uk An, Hee-gyun Jeon, Jin-Pyeong Kim, Gyu-Jin Jang, Hyeon-Chyeol Hwang
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 561-568, Dec. 2021
https://doi.org/10.3745/KTSDE.2021.10.12.561
Keywords: Tram, Dense Optical Flow, Estimation of Collision point, TTC(Time-To-Collision), YOLOv5

A Study on Automated Fake News Detection Using Verification Articles
Yoon-Jin Han, Geun-Hyung Kim
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 569-578, Dec. 2021
https://doi.org/10.3745/KTSDE.2021.10.12.569
Keywords: Artificial intelligence, Fake news detection, Fake News Data, KoBERT, Text Summarization

Style-Based Transformer for Time Series Forecasting
Dong-Keon Kim, Kwangsu Kim
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 579-586, Dec. 2021
https://doi.org/10.3745/KTSDE.2021.10.12.579
Keywords: Time Series Forecasting, Transformer, Generative Decoder, Style Transfer

Epileptic Seizure Detection Using CNN Ensemble Models Based on Overlapping Segments of EEG Signals
Min-Ki Kim
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 587-594, Dec. 2021
https://doi.org/10.3745/KTSDE.2021.10.12.587
Keywords: Epileptic Seizure, EEG, CNN, Ensemble model

Secure Scheme Between Nodes in Cloud Robotics Platform
Hyungjoo Kim
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 595-602, Dec. 2021
https://doi.org/10.3745/KTSDE.2021.10.12.595
Keywords: Security, robot, Robot-Human Interaction, Key Management, Cloud Robotics Platform




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: Young-Suk Yun
Email: ysyun@kips.or.kr
Phone: +82-2-2077-1414, Fax: +82-2-2077-1472