KIPS Transactions on
Software and Data Engineering

Published by KIPS (Korea Information Processing Society)
Frequency: Monthly, ISSN: 2287-5891

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

Enhanced Sound Signal Based Sound-Event Classification

The explosion of data due to the improvement of sensor technology and computing performance has become the basis for analyzing the situation in the industrial fields, and various attempts to detect events based on such data are increasing recently. I...
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Evaluation of Sentimental Texts Automatically Generated by a Generative Adversarial Network

Recently, deep neural network based approaches have shown a good performance for various fields of natural language processing. A huge amount of training data is essential for building a deep neural network model. However, collecting a large size of ...
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A Node2Vec-Based Gene Expression Image Representation Method for Effectively Predicting Cancer Prognosis

Accurately predicting cancer prognosis to provide appropriate treatment strategies for patients is one of the critical challenges in bioinformatics. Many researches have suggested machine learning models to predict patients’ outcomes based on their g...
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A Technique for Detecting Companion Groups from Trajectory Data Streams

There have already been studies analyzing the trajectories of objects from data streams of moving objects. Among those studies, there are also studies to discover groups of objects that move together, called companion groups. Most studies to discover...
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Most Downloaded Papers (2018 ~ 2020) 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

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
https://doi.org/10.3745/KTSDE.2019.8.12.507
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
https://doi.org/10.3745/KTSDE.2019.8.12.483
Keywords: NIDS, IoT, Unsupervised learning, Machine Learning, Autoencoder

Analysis on Dynamic Software Defects for Increasing Weapon System Reliability
Jihyun Park, Byoungju Choi
KIPS Transactions on Software and Data Engineering, Vol. 7, No. 7, pp. 249-258, Jul. 2018
10.3745/KTSDE.2018.7.7.249
Keywords: Dynamic Software Defects, Defense Weapon Systems, Open Source Software

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

Latest Publication | (Vol. 9, No.6, Jun. 2020)|

An Efficient Deep Learning Based Image Recognition Service System Using AWS Lambda Serverless Computing Technology
Hyunchul Lee, Sungmin Lee, Kangseok Kim
KIPS Transactions on Software and Data Engineering, Vol. 9, No. 6, pp. 177-186, Jun. 2020
https://doi.org/10.3745/KTSDE.2020.9.6.177
Keywords: Deep Learning, Serverless Computing, AWS Lambda Server, Cold Start Time, capacity limitation

Tor Network Website Fingerprinting Using Statistical-Based Feature and Ensemble Learning of Traffic Data
Junho Kim, Wongyum Kim, Doosung Hwang
KIPS Transactions on Software and Data Engineering, Vol. 9, No. 6, pp. 187-194, Jun. 2020
https://doi.org/10.3745/KTSDE.2020.9.6.187
Keywords: Anonymous Network, Traffic Collection, Website Fingerprinting, Ensemble Algorithm, Machine Learning

An Advanced Search that Converts Natural Language into the Logic Advanced Search and with Developed History Search Method
Daehong Lee, Hansuk Yu, Sangwon Park
KIPS Transactions on Software and Data Engineering, Vol. 9, No. 6, pp. 195-204, Jun. 2020
https://doi.org/10.3745/KTSDE.2020.9.6.195
Keywords: Search Engine, Advanced Search, Natural Language Search, History Search




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