Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал:
http://elartu.tntu.edu.ua/handle/lib/35782| Назва: | Огляд платформ, які використовуються в розумних містах |
| Інші назви: | An overview of the platforms used in smart cities |
| Автори: | Біланич, Іван Васильович Bilanych, Ivan |
| Приналежність: | ТНТУ ім. І. Пулюя, Факультет комп’ютерно-інформаційних систем і програмної інженерії, Кафедра комп’ютерних наук, м. Тернопіль, Україна |
| Бібліографічний опис: | Біланич І. В. Огляд платформ, які використовуються в розумних містах : кваліфікаційна робота освітнього рівня „Бакалавр“ „122 — комп’ютерні науки“ / І. В. Біланич. — Тернопіль : ТНТУ, 2021. — 45 с. |
| Дата публікації: | 23-чер-2021 |
| Дата подання: | 9-чер-2021 |
| Дата внесення: | 11-лип-2021 |
| Країна (код): | UA |
| Місце видання, проведення: | ТНТУ ім. І.Пулюя, ФІС, м. Тернопіль, Україна |
| Науковий керівник: | Мацюк, Олександр Васильович |
| Члени комітету: | Цуприк, Галина Богданівна |
| УДК: | 004.9 |
| Теми: | цифрові міста digital cities інтернет речей internet of things великі дані big data хмарні обчислення cloud computing кібер-фізичні системи cyber-physical systems інфраструктура infrastructure програмні платформи software platforms |
| Короткий огляд (реферат): | У роботі проведено загальне ознайомлення з історією розвитку розумного міста. Описані різні технології, які використовувались у розробці, пов’язаній з розумними містами. Ці технології можна використовувати на різних рівнях для забезпечення оптимального вирішення конкретних проблем. Нижче представлено платформи, які базуються на представлених технологіях.
Другий розділ присвячений огляду інформаційно-технологічним платформ у розумних містах та інформаційних і комунікаційних технологій. Ці технології використовуються для групування аналізованих платформ і допомагають краще зрозуміти вимоги, на яких повинні базуватися платформи. The general acquaintance with the history of development of the smart city is carried out in work. Describes the various technologies used in smart city development. These technologies can be used at different levels to provide optimal solutions to specific problems. Below are platforms based on the presented technologies. The second section is devoted to an overview of information technology platforms in smart cities and information and communication technologies. These technologies are used to group the analyzed platforms and help to better understand the requirements on which the platforms should be based |
| Зміст: | Вступ 1 Бездротові платформи розумних міст 1.1 Історія розвитку розумного міста 1.2 Проблеми розумних міст 1.3 Бездротові платформи для розумних міст 1.3.1 Визначення платформи 1.3.2 Архітектура системи 1.3.3 Контроль платформи 1.3.4 Службові програми та мережеві ефекти 2 Інформаційно-технологічні платформи 2.1 Платформи з відкритим кодом для розвитку IoT 2.2 Raspberry Pi 2.3 BeagleBoard 2.4 Arduino 2.5 Порівняння платформ з відкритим кодом 2.6 Проблеми програмного забезпечення 2.7 Розумні міста та електронні платформи з відкритим кодом 2.8 Перспективи та майбутні напрямки 3 Безпека життєдіяльності, основи охорони праці 3.1 Класифікація шкідливих та небезпечних виробничих факторів 3.2 Вплив вібрації на людину Висновки Перелік використаних джерел |
| URI (Уніфікований ідентифікатор ресурсу): | http://elartu.tntu.edu.ua/handle/lib/35782 |
| Власник авторського права: | © Біланич Іван Васильович, 2021 |
| Перелік літератури: | 1. Harrison C, Donnelly IA (2011) A Theory of Smart Cities. Proceedings of the 55th Annual Meeting of the ISSS. Hull: International Society for the Systems Sciences. 2. Schaffers H, Komninos N, Pallot M, Trousse B, Nilsson M, Oliveira A (2011) Smart Cities and the Future Internet: Towards Cooperation Frameworks for Open Innovation, Lecture Notes in Computer Science. 3. T. M. Heng and L. Low, “The intelligent city: Singapore achieving the next lap: Practitoners forum,” Technology Analysis & Strategic Management, vol. 5, no. 2, pp. 187–202, 1993. 4. Q. Li and S. Lin, “Research on digital city framework architecture,” in Proceedings of the International Conferences on Info- Tech and Info-Net, ICII 2001, pp. 30–36, Beijing, China,November 2001. 5. T. Ishida, H. Ishiguro, and H. Nakanishi, “Connecting digital and physical cities,” in Digital Cities II: Computational and Sociological Approaches, vol. 2362 of Lecture Notes in Computer Science, pp. 246–256, Springer, Berlin, Germany, 2002. 6. R. Giffinger, C. Fertner, H. Kramar, R. Kalasek, Pichler- Milanovic’, and N. Meijers, Smart Cities: Ranking of European Medium-Sized Cities, Centre of Regional Science (SRF), Vienna University of Technology, Vienna, Austria, 2007. 7. C. Harrison, B. Eckman, R. Hamilton et al., “Foundations for smarter cities,” IBM Journal of Research and Development, vol. 54, no. 4, pp. 1–16, 2010. 8. G. P. Hancke, B. D. C. de Silva, and G. P. Hancke Jr., “The role of advanced sensing in smart cities,” Sensors, vol. 13, no. 1, pp. 393–425, 2013. 9. S. Dirks andM. Keeling, A Vision of Smarter Cities: How Cities Can Lead The Way into A Prosperous and Sustainable Future, IBM Global Business Services, Somers, NY, USA, 2009. 10. A.Mahizhnan, “Smart cities:The Singapore case,” Cities, vol. 16, no. 1, pp. 13–18, 1999. 11. G. Rudolf, C. Fertner, H. Kramar, R. Kalasek, N. Pichler- Milanovic, and E. Meijers, “Smart cities-ranking of European medium-sized cities,” Tech. Rep., Vienna Centre of Regional Science, 2007. 12. J. M. Eger, “Smart growth, smart cities, and the crisis at the pump a worldwide phenomenon,” I-WAYS-The Journal of EGovernment Policy and Regulation, vol. 32, no. 1, pp. 47–53, 2009. 13. R. Moss Kanter and S. S. Litow, “Informed and interconnected: A manifesto for smarter cities,” Tech. Rep. 09-141, Harvard Business School General Management Unit Working Paper, 2009. 14. M. N. K. Boulos, A. D. Tsouros, and A. Holopainen, “Social, innovative and smart cities are happy and resilient: insights fromthe who euro 2014 international healthy cities conference,” International Journal of Health Geographics, vol. 14, no. 1, article 3, 2015. 15. Cimmino A, Pecorella T, Fantacci R, Granelli F, Rahman T, Sacchi C et al. (2013) The Role of Small Cell Technology in Future Smart City. Transactions on Emerging Telecommunications Technologies 25: 11-20. 16. Hao L, Lei X, Yan Z, ChunLi Y (2012) The application and implementation research of smart city in China. System Science and Engineering (ICSSE), Dalian, Liaoning, China. 17. S. Alawadhi, A. Aldama-Nalda, H. Chourabi et al., “Building understanding of smart city initiatives,” in EGOV 2012: Electronic Government, vol. 7443 of Lecture Notes in Computer Science, pp. 40–53, 2012. 18. R. Carli, M. Dotoli, R. Pellegrino, and L. Ranieri, “Measuring and managing the smartness of cities: A framework for classifying performance indicators,” in Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, pp. 1288–1293, Manchester, UK, October 2013. 19. M. H. Moore, Creating Public Value: Strategic Management in Government, Harvard University Press, 1995. 20. J. Benington and M. H.Moore, Public value:Theory and practice, PalgraveMacmillan, Basingstoke, UK, 2011. 21. B. Baccarne, P. Mechant, and D. Schuurman, “Empowered Cities? An Analysis of the Structure and GeneratedValue of the Smart City Ghent,” in Smart City, Progress in IS, pp. 157–182, Springer International Publishing, 2014. 22. P. Neirotti, A. De Marco, A. C. Cagliano, G. Mangano, and F. Scorrano, “Current trends in smart city initiatives: Some stylised facts,” Cities, vol. 38, pp. 25–36, 2014. 23. T. Sousa, H.Morais, J. Soares, and Z. Vale, “Day-ahead resource scheduling in smart grids considering Vehicle-to-Grid and network constraints,” Applied Energy, vol. 96, pp. 183–193, 2012. 24. L. Gomes, P. Faria, H. Morais, Z. Vale, and C. Ramos, “Distributed, agent-based intelligent system for demand response program simulation in smart grids,” IEEE Intelligent Systems, vol. 29, no. 1, pp. 56–65, 2014. 25. J. F. De Paz, J. Bajo, S. Rodrґıguez, G. Villarrubia, and J. M. Corchado, “Intelligent system for lighting control in smart cities,” Information Sciences, vol. 372, pp. 241–255, 2016. 26. J. V+tanen and R. Kingston, “Smart cities and green growth: Outsourcing democratic and environmental resilience to the global technology sector,” Environment and Planning A, vol. 46, no. 4, pp. 803–819, 2014. 27. A. Gonzґalez-Briones, J. Prieto, F. De La Prieta, E. Herrera- Viedma, andJ.M.Corchado, “Energyoptimizationusing a casebased reasoning strategy,” Sensors, vol. 18, no. 3, 2018. 28. P. Chamoso, J. F. De Paz, S. Rodrґıguez, and J. Bajo, “Smart Cities Simulation Environment for Intelligent Algorithms Evaluation,” in ISAmI 2016: Ambient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016), vol. 476 of Advances in Intelligent Systems and Computing, pp. 177–187, Springer International Publishing, 2016. 29 A. Gonzґalez-Briones, P. Chamoso, H. Yoe, and J. M.Corchado, “GreenVMAS: Virtual organization based platform for heating greenhouses using waste energy from power plants,” Sensors, vol. 18, no. 3, 2018. 30. S. Barthel and C. Isendahl, “Urban gardens, Agriculture, and water management: Sources of resilience for long-term food security in cities,” Ecological Economics, vol. 86, pp. 224–234, 2013. 31. C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, “Sensing as a service model for smart cities supported by internet of things,” Transactions on Emerging Telecommunications Technologies, vol. 25, no. 1, pp. 81–93, 2014. 32. K. Nowicka, “Smart city logistics on cloud computing model,” Procedia-Social and Behavioral Sciences, vol. 151, pp. 266–281, 2014. 33. S. HЁorold, C. Mayas, and H. KrЁomker, “Towards paperless mobility information in public transport,” in Human-Computer Interaction: Design and Evaluation, vol. 9169 of Lecture Notes in Computer Science, pp. 340–349, Springer International Publishing, 2015. 34. T. Jeske, “Floating car data from smartphones: What google and waze know about you and how hackers can control traffic,” in Proceedings of the BlackHat Europe, pp. 1–12, Amsterdam, Netherlands, 2013. 35. A. Krylovskiy, M. Jahn, and E. Patti, “Designing a smart city internet of things platform with microservice architecture,” in Proceedings of the 3rd International Conference on Future Internet of Things and Cloud (FiCloud ’15), pp. 25–30, Rome, Italy, August 2015. 36. X. Liu, X. Wang, G. Wright, J. C. P. Cheng, X. Li, and R. Liu, “A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS),” ISPRS International Journal of Geo-Information, vol. 6, no. 2, article 53, 2017. 37. S. U. M. Tobi, D. Amaratunga, and N. M. Noor, “Social enterprise applications in an urban facilities management setting,” Facilities, vol. 31, no. 5/6, pp. 238–254, 2013. 38. L.Hernandez,C.Baladron, J.M. Aguiar et al., “Asurveyonelectric power demand forecasting: Future trends in smart grids, microgrids and smart buildings,” IEEECommunications Surveys & Tutorials, vol. 16, no. 3, pp. 1460–1495, 2014. 39. T. A. Nguyen and M. Aiello, “Energy intelligent buildings based on user activity: a survey,” Energy and Buildings, vol. 56, no. 1, pp. 244–257, 2013. 40. C. Wilson, T. Hargreaves, and R. Hauxwell-Baldwin, “Smart homes and their users: a systematic analysis and key challenges,” Personal and Ubiquitous Computing, vol. 19, no. 2, pp. 463–476, 2014. 41. U. Gretzel, M. Sigala, Z. Xiang, and C. Koo, “Smart tourism: foundations and developments,” ElectronicMarkets, vol. 25, no. 3, pp. 179–188, 2015. 42. C.Koo,F.Ricci, C. Cobanoglu, andF.Okumus, “Special issue on smart, connected hospitality and tourism,” Information Systems Frontiers, vol. 19, no. 4, pp. 699–703, 2017. 43. P. Kumar, L. Morawska, C. Martani et al., “The rise of lowcost sensing for managing air pollution in cities,” Environment International, vol. 75, pp. 199–205, 2015. 44. Z. Khan, Z. Pervez, and A. Ghafoor, “Towards cloud based smart cities data security and privacymanagement,” in Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2014, pp. 806–811, London, UK, December 2014. 45. A. Gonzґalez-Briones, G.Villarrubia, J. F.De Paz, and J.M.Corchado, “Amulti-agent system for the classification of gender and age from images,” Computer Vision and Image Understanding, 2018, In Press. 46. A. Solanas, C. Patsakis,M. Conti et al., “Smart health: a contextaware health paradigm within smart cities,” IEEE Communications Magazine, vol. 52, no. 8, pp. 74–81, 2014. 47. A. D. Black, J. Car, C. Pagliari et al., “The impact of ehealth on the quality and safety of health care: a systematic overview,” PLoS Medicine, vol. 8, no. 1, Article ID e1000387, 2011. 48. A.Hussain, R.Wenbi,A. L. Da Silva, M. Nadher, andM. Mudhish, “Health and emergency-care platform for the elderly and disabled people in the Smart City,” The Journal of Systems and Software, vol. 110, pp. 253–263, 2015. 49. J. Borr`as, A. Moreno, and A. Valls, “Intelligent tourism recommender systems: a survey,” Expert Systems with Applications, vol. 41, no. 16, pp. 7370–7389, 2014. 50. T. Clohessy, T. Acton, and L.Morgan, “Smart city as a service (SCaaS): A future roadmap for e-government smart city cloud computing initiatives,” in Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2014, pp. 836–841, London, UK, December 2014. 51. S. M. Ali, C. A. Mehmood, A. Khawja et al., “Micro-controller based smart electronic voting machine system,” in Proceedings of the 2014 IEEE InternationalConference on Electro/Information Technology, EIT 2014, pp. 438–442, Milwaukee,Wis, USA, June 2014. 52. M. Janssen and J. van den Hoven, “Big and Open Linked Data (BOLD) in government: A challenge to transparency and privacy?” Government Information Quarterly, vol. 32, no. 4, pp. 363–368, 2015. 53. S. Y. Perng, R. Kitchin, and D. Mac Donncha, “Hackathons, entrepreneurship and the passionate making of smart cities,” 2017. 54. B. Ridel, P. Reuter, J. Laviole, N. Mellado, N. Couture, and X. Granier, “The revealing flashlight: Interactive spatial augmented reality for detail exploration of cultural heritage artifacts,” Journal on Computing and CulturalHeritage, vol. 7, no. 2, article 6, 2014. 55. T. Kim, J. Y. Cho, and B. G. Lee, “Evolution to smart learning in public education: a case study of korean public education,” in Open and Social Technologies for Networked Learning, vol. 395 of IFIP Advances in Information and Communication Technology, pp. 170–178, Springer, Berlin, Germany, 2013. 56. T. Di Mascio, P. Vittorini, R. Gennari, A. Melonio, F. De La Prieta, and M. Alrifai, “The learners’ user classes in the TERENCE adaptive learning system,” in Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012, pp. 572–576, Rome, Italy, July 2012. 57. M. Kavaratzis, “From city marketing to city branding: towards a theoretical framework for developing city brands,” Place Branding and Public Diplomacy, vol. 1, no. 1, pp. 58–73, 2004. 58. P. Chamoso, A. Rivas, S. Rodrґıguez, and J. Bajo, “Relationship recommender system in a business and employment-oriented social network,” Information Sciences, vol. 433-434, pp. 204–220, 2018. 59. R. Minerva, A. Biru, and D. Rotondi, “Towards a definition of the internet of things (iot),” IEEE Internet Initiative, no. 1, 2015. 60. O. Said and M. Masud, “Towards internet of things: Survey and future vision,” in Proceedings of the International Journal of Computer Networks 5(1, vol. 5, 2013. 61. A. Iera, C. Floerkemeier, J.Mitsugi, andG.Morabito, “The Internet of things,” IEEEWireless CommunicationsMagazine, vol. 17, no. 6, pp. 8-9, 2010. 62. G.Wu, S. Talwar, K. Johnsson, N. Himayat, and K. D. Johnson, “M2M: from mobile to embedded internet,” IEEE Communications Magazine, vol. 49, no. 4, pp. 36–43, 2011. 63. S. Okuya, “M2M and big data to realize the smart city,” NEC Technical Journal, vol. 7, no. 2, pp. 67–71, 2012. 64. H. Okkonen, O. Mazhelis, P. Ahokangas et al., “nternet-ofthingsmarket, value networks, and businessmodels: state of the art report,”Computer Science and Information Systems Reports 39, 2013. 65. P.Mell, T. Grance et al., The Nist Definition of Cloud Computing, 2011. 66. M. Armbrust, A. Fox, R. Griffith et al., “A view of cloud computing,” Communications of the ACM, vol. 53, no. 4, pp. 50–58, 2010. 67. A. Mukherjee, “Iot and the rise of smart machines – prosperity or doomsday,” in Proceedings of the International Conference on Digital Libraries (ICDL) 2016: Smart Future: Knowledge Trends that will Change the Workd,The Energy and Resources Institute, pp. 116–125, 2016. |
| Тип вмісту: | Bachelor Thesis |
| Розташовується у зібраннях: | 122 — Компʼютерні науки (бакалаври) |
Файли цього матеріалу:
| Файл | Опис | Розмір | Формат | |
|---|---|---|---|---|
| 2021_KRB_SNs-42_Bilanych_I_V.pdf | 526,14 kB | Adobe PDF | Переглянути/відкрити |
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