A Study on the Integration Between Smart Mobility Technology and Information Communication Technology (ICT) Using Patent Analysis (특허분석을 이용한 스마트 모바일 기술과 정보통신기술의 통합에 관한 연구)

Khaled Sulaiman Khalfan Sulaiman Alkaabi; Jiwon Yu (유지원)

doi:10.9708/jksci.2019.24.06.089

A Study on the Integration Between Smart Mobility Technology and Information Communication Technology (ICT) Using Patent Analysis

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2019, 24(6), pp.89-97
DOI : 10.9708/jksci.2019.24.06.089
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : May 9, 2019
Accepted : June 10, 2019
Published : June 28, 2019

Khaled Sulaiman Khalfan Sulaiman Alkaabi ¹, Jiwon Yu ¹

¹고려대학교

Accredited

ABSTRACT

This study proposes a method for investigating current patents related to information communication technology and smart mobility to provide insights into future technology trends. The method is based on text mining clustering analysis. The method consists of two stages, which are data preparation and clustering analysis, respectively. In the first stage, tokenizing, filtering, stemming, and feature selection are implemented to transform the data into a usable format (structured data) and to extract useful information for the next stage. In the second stage, the structured data is partitioned into groups. The K-medoids algorithm is selected over the K-means algorithm for this analysis owing to its advantages in dealing with noise and outliers. The results of the analysis indicate that most current patents focus mainly on smart connectivity and smart guide systems, which play a major role in the development of smart mobility.

KEYWORDS

Information Communication Technology (ICT), Smart Mobility, Text Mining, Clustering, Patent Analysis

Citation status

* References for papers published after 2023 are currently being built.

[web] / FIT Consulting Inc / https://www.fticonsulting.com/about/newsroom/press-releases/fti-consulting-projects-us-online-retail-sales-to-top-1-trillion-by-2027

[web] / United Nations / https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html

[web] / 2018 / Benjamin Chneider, CityLab / https://www.citylab.com/transportation/2018/02/traffics-mind-boggling-economic-toll/552488/

[web] Mark Boada / Fleet Management Weekly / https://www.fleetmanagementweekly.com/qa-lukas-neckermann-fleet-mobility-revolution/

[web] / ITU / https://www.itu.int/en/ITU-T/focusgroups/ssc/Pages/default.aspx

[journal] Toru Ishida / 2002 / Digital city Kyoto / Communication of the ACM 45(2)

[confproc] Nicos Komninso / 2006 / the architecture of intelligent cities / 2nd international conference on intelligent environment : 13~20

[journal] Ewelina Julita / 2018 / urban smart mobility in the scientific literature-bibliometric analysis / international society for manufacturing service and management engineering 10(2)

[journal] Leif edvinsson / 2006 / aspect on the city as knowledge tool / journal of knowledge management 10(5)

[journal] Chiara Garau / 2016 / Cagliari and smart urban mobility: analysis and comparison 56 : 35~46

[journal] Andrés Camero / 2019 / Smart City and information technology : A review / cities 93 : 84~94

[confproc] Rasha F. Elgazzar / 2017 / Smart Cities, Sustainable Cities, or Both? A Critical Review and Synthesis of Success and Failure Factors / Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2017) : 250~257

[report] Dietmar Harhoff / 2014 / The strategic use of patents and its implications for enterprise and competition policies

[journal] Heidi L. Williams / 2017 / How do patents affect research investments? / Annual Review of Economics 9 : 441~469

[other] National Academy of Sciences / 2017 / Beyond Patents:Assessing the value and impact of research investments

[other] Hazel V. J. Moir / 2008 / What are the costs and benefits of patent systems?

[journal] Ruchi Shamar / 2012 / Strengthening the patent regime : Benefits for developing countries – a survey / Journal of Intellectual Property Rights 17 : 122~132

[journal] S. Sathya / 2015 / A review on text mining techniques / International Journal of Computer Science Trends and Technology (IJCST) 3(5) : 274~284

[journal] Besim Bilalli / 2018 / Intelligent assistance for data pre-processing / Computer Standards & Interfaces 57 : 101~109

[journal] Gautier Daras / 2018 / A spatial data pre-processing tool to improve the quality of the analysis and to reduce preparation duration / Computers & Industrial Engineering 119 : 219~232

[journal] N. Yogapreethi / 2016 / A review on text mining in data mining / International Journal on Soft Computing (IJSC) 7(2) : 1~8

[journal] Lincoln A. Mullen / 2018 / Fast, consistent tokenization of natural language text / Journal of Open Source Software 3(23) : 655~

[confproc] Tiara Shanie / 2017 / Text grouping in patent using adaptive k-means clustering algorithm / AIP Conference Proceedings 1827(1) : 1~9

[journal] Kasper Welbers / 2017 / Text analysis in R / Communication Methods and Measures 11(4) : 245~265

[journal] Stefano Ferilli / 2014 / Automatic learning of linguistic resources for stopword removal and stemming from text / Procedia Computer Science 38 : 116~123

[confproc] Dian Sa’adillah Maylawati / 2018 / An improved of stemming algorithm for mining Indonesian text with slang on social media / The 6th International Conference on Cyber and IT Service Management (CITSM) : 1~6

[journal] Jundong Li / 2018 / Feature selection: A data perspective / ACM Computing Surveys (CSUR) 50(6)

[journal] A. Fauzi / 2019 / Hoax news detection on Twitter using term frequency inverse document frequency and support vector machine method / Journal of Physics: Conference Series 1192(1) : 1~6

[journal] Inbal Yahav / 2019 / Comments mining with TF-IDF: The inherent bias and its removal / IEEE Transactions on Knowledge and Data Engineering 31(3)

[other] Sanjiv K. Bhati / 2004 / Adaptive k-means clustering

[journal] E. Laxmi Lydia / 2018 / Document clustering based on text mining k-means algorithm using Euclidean distance similarity / Journal of Advanced Research in Dynamical and Control Systems 10(2) : 208~214

[journal] Shizhen Zhao / 2018 / A user-adaptive algorithm for activity recognition based on k-means clustering, local outlier factor, and multivariate Gaussian distribution / Sensors 18(1850) : 1~17

[journal] Neha Garg / 2016 / Clustering techniques for text mining: A review / International Journal of Engineering Research 5(4) : 241~243

[journal] A. P. Reynolds / 2004 / The application of k-medoids and PAM to the clustering of rules / Lecture Notes in Computer Science 3177 : 173~178

[journal] Mahendra Tiwari / 2012 / Comparative investigation of k-means and k-medoid algorithm on iris data / International Journal of Engineering Research and Development 4(8)

[confproc] Preeti Arora / 2015 / Analysis of k-means and k-medoids algorithm for big data / International Conference on Information Security &Privacy 78 : 507~512

[confproc] Artur Starczewski / 2015 / Performance evaluation of the Silhouette Index / International Conference on Artificial Intelligence and Soft Computing 9120 : 49~58

[confproc] Josc Maria Luna-Romera / 2016 / An approach to Silhouette and Dunn clustering indices applied to big data in spark / Advances in Artificial Intelligence : 160~169

[journal] S. Govinda Rao / 2015 / Performance validation of the modified k-means clustering algorithm clusters data / International Journal of Scientific & Engineering Research 6(10)

[journal] Zahid Ansari / 2011 / Quantitative evaluation of performance and validity indices for clustering the web navigational sessions / World of Computer Science and Information Technology Journal (WCSIT) 1(5) : 217~226

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on the Integration Between Smart Mobility Technology and Information Communication Technology (ICT) Using Patent Analysis

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on the Integration Between Smart Mobility Technology and Information Communication Technology (ICT) Using Patent Analysis

ABSTRACT

KEYWORDS

Statistics

Tools

Issue List

Citation status

KCI Citation Counts (1)

REFERENCES (40) * References for papers published after 2023 are currently being built.

Search PDF

Citation

* References for papers published after 2023 are currently being built.