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

Performance Improvement Method of Convolutional Neural Network Using Agile Activation Function

The convolutional neural network is composed of convolutional layers and fully connected layers. The nonlinear activation function is used in each layer of the convolutional layer and the fully connected layer. The activation function being used in a...
show more
Digital Mirror System with Machine Learning and Microservices

Mirror is a physical reflective surface, typically of glass coated with a metal amalgam, and it is to reflect an image clearly. They are available everywhere anytime and become an essential tool for us to observe our faces and appearances. With the a...
show more

Hybrid Learning for Vision-and-Language Navigation Agents

The Vision-and-Language Navigation(VLN) task is a complex intelligence problem that requires both visual and language comprehension skills. In this paper, we propose a new learning model for visual-language navigation agents. The model adopts a hybri...
show more

Clustering Performance Analysis of Autoencoder with Skip Connection

In addition to the research on noise removal and super-resolution using the data restoration (Output result) function of Autoencoder, research on the performance improvement of clustering using the dimension reduction function of autoencoder are acti...
show more

Most Downloaded Papers (2019 ~ 2021) 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
Keywords: Natural Language Processing, MRC, Machine Reading Comprehension, Patent, BERT

A Design and Implementation of Floor Detection Application Using RC Car Simulator
Yoona Lee, Young-Ho Park, Sun-Young Ihm
KIPS Transactions on Software and Data Engineering, Vol. 8, No. 12, pp. 507-516, Dec. 2019
Keywords: Real-Time Recognition, Floor Detection, Road Breakage, Automatic Driving

Network Intrusion Detection System Using Feature Extraction Based on AutoEncoder in IOT environment
Joohwa Lee, Keehyun Park
KIPS Transactions on Software and Data Engineering, Vol. 8, No. 12, pp. 483-490, Dec. 2019
Keywords: NIDS, IoT, Unsupervised learning, Machine Learning, Autoencoder

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
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
Keywords: Machine Learning, Artificial intelligence, Sports Game Prediction, Ensemble Technique, Data Analysis

Latest Publication | (Vol. 10, No.3, Mar. 2021)|

A Study on Selecting Principle Component Variables Using Adaptive Correlation
Ko Myung-Sook
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 3, pp. 79-84, Mar. 2021
Keywords: Principle Component Analysis, correlation, Eigenvalue Graph, Eigenvector Coefficient

1D CNN and Machine Learning Methods for Fall Detection
Inkyung Kim, Daehee Kim, Song Noh, Jaekoo Lee
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 3, pp. 85-90, Mar. 2021
Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network

A Comparative Study of Machine Learning Algorithms Using LID-DS DataSet
Park DaeKyeong, Ryu KyungJoon, Shin DongIl, Shin DongKyoo, Park JeongChan, Kim JinGoog
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 3, pp. 91-98, Mar. 2021
Keywords: Machine Learning, HIDS, NIDS, LID-DS

Face Identification Using a Near-Infrared Camera in a Nonrestrictive In-Vehicle Environment
Min Song Ki, Yeong Woo Choi
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 3, pp. 99-108, Mar. 2021
Keywords: Face Identification, near-infrared image, Multi Support Vector Machine (Multi-SVM), Light Overexposure

An Edge Detection Technique for Performance Improvement of eGAN
Lee Cho Youn, Ji Su Park, Jin Gon Shon
KIPS Transactions on Software and Data Engineering, Vol. 10, No. 3, pp. 109-114, Mar. 2021
Keywords: Generative Adversarial Network, Loss Function, Edge detection, eGAN

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 ( without any subscription fee or personal registration. They are 'Open Access' papers distributed under the terms of the Creative Commons Attribution Non-Commercial License ( 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
Phone: +82-2-2077-1414, Fax: +82-2-2077-1472