Review of technology trends in new space missions using a patent analytics approach
暂无分享,去创建一个
Dragan Kukolj | Zeljko Tekic | Alessandro Golkar | Nicola Garzaniti | D. Kukolj | Z. Tekic | A. Golkar | Nicola Garzaniti
[1] Jing Xu,et al. Identifying technological topics and institution-topic distribution probability for patent competitive intelligence analysis: a case study in LTE technology , 2014, Scientometrics.
[2] K. Beckett,et al. UrtheCast SECOND-GENERATION EARTH OBSERVATION SENSORS , 2015 .
[3] Adriano Camps,et al. Fsscat, the 2017 Copernicus Masters’ “Esa Sentinel Small Satellite Challenge” Winner: A Federated Polar and Soil Moisture Tandem Mission Based on 6U Cubesats , 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.
[4] Holger Ernst,et al. Patent information for strategic technology management , 2003 .
[5] Alessandro Golkar,et al. The Federated Satellite Systems paradigm: Concept and business case evaluation , 2015 .
[6] David M. Blei,et al. Probabilistic topic models , 2012, Commun. ACM.
[7] Y. A. Sekercioglu,et al. Review of hardware cost estimation methods, models and tools applied to early phases of space mission planning , 2012 .
[8] Subhashini Venugopalan,et al. Topic based classification and pattern identification in patents , 2015 .
[9] Tereza Pultarova,et al. Telecommunications - Space tycoons go head to head over mega satellite network [News Briefing] , 2015 .
[10] Arho Suominen,et al. Topic modelling approach to knowledge depth and breadth: Analyzing trajectories of technological knowledge , 2017, 2017 IEEE Technology & Engineering Management Conference (TEMSCON).
[11] D. Kukolj,et al. PSALM – PATENT MINING TOOL FOR COMPETITIVE INTELLIGENCE , 2015 .
[12] F. Appio,et al. Patent portfolio diversity and firm profitability: A question of specialization or diversification? , 2019, Journal of Business Research.
[13] Haokui Zhang,et al. Deep learning for remote sensing image classification: A survey , 2018, WIREs Data Mining Knowl. Discov..
[14] Koji Tanaka,et al. Engineering-Model Results of X-Band Synthetic Aperture Radar for Small Satellite and its Application to Constellation Mission , 2018 .
[15] N. Girard,et al. PROMETHEUS , A LOX / LCH 4 REUSABLE ROCKET ENGINE , 2017 .
[16] William D. Penny,et al. Bayesian Approaches to Gaussian Mixture Modeling , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Arho Suominen,et al. Firms' knowledge profiles: Mapping patent data with unsupervised learning , 2017 .
[18] Shiwen Mao,et al. A survey of free space optical networks , 2017, Digit. Commun. Networks.
[19] Subhojit Roy,et al. Seeing the Unseen , 2014, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[20] Jason Hay,et al. Global Space Industry: Refining the Definition of "New Space" , 2009 .
[21] Alessandro Golkar,et al. Towards the Internet for Space: bringing cloud computing to space systems , 2018 .
[22] Samee U. Khan,et al. A literature review on the state-of-the-art in patent analysis , 2014 .
[23] Clément Fortin,et al. Effectiveness of the Scrum Methodology for Agile Development of Space Hardware , 2019, 2019 IEEE Aerospace Conference.
[24] David Grace,et al. A review of wireless communication using high-altitude platforms for extended coverage and capacity , 2020, Comput. Commun..
[25] Dragan Kukolj,et al. From Patent Data to Business Intelligence - PSALM Case Studies , 2014 .
[26] John Dolan,et al. Aireon space based ADS-B performance model , 2015, 2015 Integrated Communication, Navigation and Surveillance Conference (ICNS).
[27] Jon Atli Benediktsson,et al. Multisource and Multitemporal Data Fusion in Remote Sensing , 2018, ArXiv.
[28] Ken Davidian. Definition of NewSpace , 2020 .
[29] W. Peeters. Effects of commercialisation in the European space sector , 2002 .
[30] Alessandro Golkar,et al. CubeSat evolution: Analyzing CubeSat capabilities for conducting science missions , 2017 .
[31] Ramón Martínez Rodríguez-Osorio,et al. Survey of Inter-Satellite Communication for Small Satellite Systems: Physical Layer to Network Layer View , 2016, IEEE Communications Surveys & Tutorials.
[32] Eric B. Quist,et al. The Capella X-band SAR Constellation for Rapid Imaging , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.
[33] Katja Rost,et al. Identification and monitoring of possible disruptive technologies by patent-development paths and topic modeling , 2016 .
[34] HubbardScott. New Space and New Developments for the New Administration , 2017 .
[35] Dragan Kukolj,et al. Technology matching of the patent documents using clustering algorithms , 2013, 2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI).
[36] Robert Zee,et al. Making the Invisible Visible: Precision RF-Emitter Geolocation from Space by the HawkEye 360 Pathfinder Mission , 2018 .
[37] William Hreha,et al. Key Technology, Programmatic Drivers, and Lessons Learned for Production of Proliferated Small Satellite Constellations , 2019 .
[38] Matjaz Vidmar. Agile Space Living Lab – The Emergence of a New High-Tech Innovation Paradigm , 2019, Space Policy.
[39] Alan L. Porter,et al. Clustering scientific documents with topic modeling , 2014, Scientometrics.
[40] Otto Koudelka,et al. NewSpace: New Business Models at the Interface of Space and Digital Economy: Chances in an Interconnected World , 2017, New Space.
[41] Jiting Li,et al. Task allocation strategies for cooperative task planning of multi-autonomous satellite constellation , 2019 .
[42] A HansonWard,et al. In Their Own Words: OneWeb's Internet Constellation as Described in Their FCC Form 312 Application , 2016 .
[43] G. Ronning. Maximum likelihood estimation of dirichlet distributions , 1989 .
[44] Philip Jales,et al. Status and accomplishments of the Spire Earth observing nanosatellite constellation , 2020 .
[45] Thomas Blaschke,et al. Big Earth data: disruptive changes in Earth observation data management and analysis? , 2019, Int. J. Digit. Earth.
[46] Kwangsoo Kim,et al. Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data , 2017 .
[47] Alessandro Golkar,et al. Evaluating Virtual Satellite Mission Opportunities , 2015 .
[48] Martin N. Sweeting,et al. Modern Small Satellites-Changing the Economics of Space , 2018, Proceedings of the IEEE.
[49] Giorgio Petroni,et al. Innovation and change? The evolution of Europe's small satellite manufacturers , 2012 .
[50] Yansheng Li,et al. Image retrieval from remote sensing big data: A survey , 2021, Inf. Fusion.
[51] Hyuk Park,et al. Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020-2030 , 2019, Remote. Sens..
[52] Mark Steyvers,et al. Finding scientific topics , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[53] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[54] C. Pardini,et al. Environmental sustainability of large satellite constellations in low earth orbit , 2020 .
[55] A. Salado,et al. Definition of New Space—Expert Survey Results and Key Technology Trends , 2021, IEEE Journal on Miniaturization for Air and Space Systems.
[56] W. Peeters. Toward a Definition of New Space? The Entrepreneurial Perspective , 2018, New Space.
[57] Eduard Alarcón,et al. Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects , 2018, Syst. Eng..
[58] Dominik Knoll,et al. An implementation of Software Defined Radios for federated aerospace networks: Informing satellite implementations using an inter-balloon communications experiment , 2016 .
[59] Chong Wang,et al. Reading Tea Leaves: How Humans Interpret Topic Models , 2009, NIPS.
[60] Peter Willett,et al. The Porter stemming algorithm: then and now , 2006, Program.
[61] Keyvan Vakili,et al. Topic Modeling in Management Research: Rendering New Theory from Textual Data , 2019, Academy of Management Annals.
[62] John D. Lafferty,et al. Dynamic topic models , 2006, ICML.
[63] Farshad Madani,et al. The evolution of patent mining: Applying bibliometrics analysis and keyword network analysis , 2016 .
[64] Nathalie Sick,et al. Identifying trends in battery technologies with regard to electric mobility: evidence from patenting activities along and across the battery value chain , 2015 .
[65] D. Choi,et al. Exploring Technological Trends in Logistics: Topic Modeling-Based Patent Analysis , 2018, Sustainability.
[66] A. Vallerani,et al. 3U Cubesat "Eaglet-1": Towards a Functional Nano-Sat Leo Constellation , 2016 .
[67] Clément Fortin,et al. Toward a Hybrid Agile Product Development Process , 2019, PLM.
[68] David Haley,et al. Massive scale, long battery life, direct to orbit connectivity for the internet of things , 2018, Acta Astronautica.
[69] Mina Mitry,et al. Routers in space: Kepler communications' CubeSats will create an Internet for other satellites , 2020, IEEE Spectrum.
[70] The GHGSat-D imaging spectrometer , 2020 .
[71] Dragan Kukolj,et al. PSALM – alat za analizu konkurenata baziran na podacima iz patenta , 2015 .
[72] Tao Cheng,et al. Validation of ICEYE Small Satellite SAR Design for Ice Detection and Imaging , 2016 .
[73] Zeljko Tekic,et al. Using Contextual Data for Smart Patent Analysis , 2016, 2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom).
[74] Xueliang Zhang,et al. Deep learning in remote sensing applications: A meta-analysis and review , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.
[75] Fan Liu,et al. Determine the Number of Unknown Targets in Open World Based on Elbow Method , 2021, IEEE Transactions on Fuzzy Systems.
[76] Mark Longanbach,et al. Scaling Fleet Operations: The Growth and Results of SkySat Mission Operations , 2018 .
[77] Sungjoo Lee,et al. Identifying promising technologies using patents: A retrospective feature analysis and a prospective needs analysis on outlier patents , 2017 .
[78] D. Geiger,et al. A characterization of the Dirichlet distribution through global and local parameter independence , 1997 .
[79] Loizos Heracleous,et al. NASA's Capability Evolution Toward Commercial Space , 2019, Space Policy.
[80] Bhagyashree Vyankatrao Barde,et al. An overview of topic modeling methods and tools , 2017, 2017 International Conference on Intelligent Computing and Control Systems (ICICCS).
[81] Hongzhang Xu,et al. Deep learning in environmental remote sensing: Achievements and challenges , 2020, Remote Sensing of Environment.
[82] Eleni Stroulia,et al. Chapter 6 – Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data , 2015 .
[83] NagendraNarayan Prasad,et al. Challenges for NewSpace Commercial Earth Observation Small Satellites , 2017 .
[84] D. Texier,et al. From new space to big space: How commercial space dream is becoming a reality , 2020, Acta Astronautica.
[85] Maozhen Li,et al. Performance evaluation of Latent Dirichlet Allocation in text mining , 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).
[86] Paolo Maggiore,et al. Additive Manufacturing Evaluation Tool for Design Studies , 2020, IEEE Systems Journal.
[87] Zeljko Tekic,et al. What Drives Technology Innovation in New Space?: A Preliminary Analysis of Venture Capital Investments in Earth Observation Start-Ups , 2019, IEEE Geoscience and Remote Sensing Magazine.
[88] Chao-Chan Wu,et al. Using patent analyses to monitor the technological trends in an emerging field of technology: a case of carbon nanotube field emission display , 2009, Scientometrics.
[89] Joseph H. Saleh,et al. Observations on the evolution of satellite launch volume and cyclicality in the space industry , 2010 .