JOURNAL OF INFORMATION PROCESSING SYSTEMS
The Journal of Information Processing Systems (JIPS) is the official international journal of the Korea Information Processing Society. As information processing systems are progressing at a rapid pace, the Korea Information Processing Society is committed to providing researchers and other professionals with the academic information and resources they need to keep abreast with ongoing developments. The JIPS aims to be a premier source that enables researchers and professionals all over the world to promote, share, and discuss all major research issues and developments in the field of information processing systems and other related fields.
Latest Publication | (Vol. 16, No.4, Aug. 2020) |
Journal of Information Processing Systems, Vol. 6, No. 1, pp. 1-20, Feb. 2010
Keywords: Operations Support System (OSS), New Generation Operations Systems and Software (NGOSS), enhanced Telecom Operations Map (eTOM), Internet Protocol Television (IPTV), IP-Virtual Private Network (IP-VPN)
Janus - Multi Source Event Detection and Collection System for Effective Surveillance of Criminal Activity
Journal of Information Processing Systems, Vol. 10, No. 1, pp. 1-22, Feb. 2014
Keywords: Multi-source, Multi-modal Event Detection, Law Enforcement, Criminal Activity, Surveillance, Security, Safety
Journal of Information Processing Systems, Vol. 12, No. 1, pp. 1-34, Feb. 2016
Keywords: Cloud computing, Comparative Methods, Deep Learning, Fourier Transform, Gene Identification, Gene Prediction, Hidden Markov Model, Machine Learning, Protein-Coding Region, Support Vector Machine
Granular Bidirectional and Multidirectional Associative Memories: Towards a Collaborative Buildup of Granular Mappings
Journal of Information Processing Systems, Vol. 13, No. 3, pp. 435-447, Jun. 2017
Keywords: Allocation of Information Granularity and Optimization, Bidirectional Associative Memory, Collaborative Clustering, Granular Computing, Multi-directional Associative Memory, Prototypes
Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries
Journal of Information Processing Systems, Vol. 13, No. 4, pp. 653-667, Aug. 2017
Keywords: Digital Libraries, Dissemination of Information, Fuzzy Linguistic Modeling, Recommender Systems
With regard to ethical standards, the JIPS takes plagiarism very seriously and thoroughly checks all articles. The JIPS 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 JIPS 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 JIPS editorial board members, there are four associate manuscript editors who support the JIPS 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 JIPS managing editor looks over submitted papers and checks that they are suitable for further processing, the managing editor also routes them to the CrossCheck service provided by iTenticate. Based on the results provided by the CrossCheck service, the JIPS associate manuscript editors inform the JIPS editor-in-chief of any plagiarism that is detected in a paper. Then, the JIPS editor-in-chief communicates such detection to the author(s) while rejecting the paper.
Since 2005, all papers published in the JIPS 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://www.jips-k.org) without any subscription fee or personal registration. This is an Open Access article 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.
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