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dc.contributor.advisorДуда, Олексій Михайлович-
dc.contributor.authorЮрчак, Валерій Володимирович-
dc.contributor.authorYurchak, Valerii Volodymyrovych-
dc.date.accessioned2023-06-21T14:22:11Z-
dc.date.available2023-06-21T14:22:11Z-
dc.date.issued2023-06-21-
dc.date.submitted2023-06-07-
dc.identifier.citationЮрчак В. В. Аналіз використання Інтернету речей у проєктах класу "Розумне місто" : кваліфікаційна робота освітнього рівня „Бакалавр“ „122 — комп’ютерні науки“ / В. В. Юрчак. — Тернопіль : ТНТУ, 2023. — 46 с.uk_UA
dc.identifier.urihttp://elartu.tntu.edu.ua/handle/lib/41652-
dc.description.abstractКваліфікаційна робота присв’ячена аналізу використання Інтернету речей у проєктах класу «Розумне місто». В першому розділі кваліфікаційної роботи освітнього рівня «Бакалавр» розглянуто інформаційну технологію Інтернету речей. Описано інноваційний інформаційно-технологічний концепт «Розумне місто». Висвітлено пов’язаність термінів «Розумні міста» та Інтернет речей. Проаналізовано предметну область використання Інтернету речей у проєктах класу «Розумне місто». Сформовано методологічний підхід до аналізу використання Інтернету речей у проєктах класу «Розумне місто». В другому розділі кваліфікаційної роботи проаналізовано статистики ключових слів і цитувань. Сформовано мережу термінів, щодо використання Інтернету речей у проєктах класу «Розумне місто». Результати огляду можуть бути корисними дослідникам, які активно досліджують IoT в контексті «розумних міст». Використаний методологічний підхід дозволив побудувати щільну мережу ключових слів і визначити сім тем досліджень, які розглядаються в поточних публікаціях IoT та «розумних міст». У розділі «Безпека життєдіяльності, основи хорони праці» охарактеризовано діяльність, розглянуто її види та розуміння в безпеці праці. Описано контроль за станом охорони праці. The qualification work is devoted to the analysis of the use of the Internet of Things in projects of the "Smart City" class. The information technology of the Internet of Things is considered in the first section of the qualifying work of the "Bachelor" educational level. The innovative information technology concept "Smart City" is described. The connection between the terms "Smart cities" and the Internet of Things is highlighted. The subject area of using the Internet of Things in projects of the "Smart City" class has been analyzed. A methodological approach to the analysis of the use of the Internet of Things in "Smart City" class projects has been developed. In the second section of the qualification work, the statistics of keywords and citations were analyzed. A network of terms has been formed regarding the use of the Internet of Things in "Smart City" class projects. The results of the review can be useful to researchers who are actively investigating IoT in the context of "smart cities". The methodological approach used allowed building a dense network of keywords and identifying seven research topics that are addressed in current IoT and smart cities publications. In the section "Safety of life, the basics of occupational health" the activity is characterized, its types and understanding in occupational safety are considered. Control over the state of labor protection is described.uk_UA
dc.description.tableofcontentsВСТУП 6 РОЗДІЛ 1. ІНТЕРНЕТ РЕЧЕЙ ТА «РОЗУМНІ МІСТА» 8 1.1 Інформаційна технологія Інтернету речей 8 1.2 Інноваційний інформаційно-технологічний концепт «Розумне місто» 10 1.3 «Розумні міста» та Інтернет речей 11 1.4 Аналіз предметної області використання Інтернету речей у проєктах класу «Розумне місто» 13 1.5 Методологічний підхід до аналізу використання Інтернету речей у проєктах класу «Розумне місто» 15 1.6 Висновок до першого розділу 19 РОЗДІЛ 2. АНАЛІЗ ВИКОРИСТАННЯ ІНТЕРНЕТУ РЕЧЕЙ У ПРОЄКТАХ КЛАСУ «РОЗУМНЕ МІСТО» 20 2.1 Аналіз статистики ключових слів і цитувань 24 2.2 Формування мережі термінів 30 2.3 Висновок до другого розділу 34 РОЗДІЛ 3. БЕЗПЕКА ЖИТТЄДІЯЛЬНОСТІ, ОСНОВИ ОХОРОНИ ПРАЦІ 35 3.1 Діяльність. Її види та розуміння в безпеці праці 35 3.2 Контроль за станом охорони праці 37 3.3 Висновок до третього розділу 38 ВИСНОВКИ 39 ПЕРЕЛІК ДЖЕРЕЛ 40uk_UA
dc.language.isoukuk_UA
dc.subjectаналізuk_UA
dc.subjectanalysisuk_UA
dc.subjectбібліометріяuk_UA
dc.subjectbibliometricsuk_UA
dc.subjectІнтернет речейuk_UA
dc.subjectInternet of thingsuk_UA
dc.subjectінформаційні технологіїuk_UA
dc.subjectinformation technologiesuk_UA
dc.subjectпошукuk_UA
dc.subjectsearchuk_UA
dc.subjectрозумне містоuk_UA
dc.subjectsmart cityuk_UA
dc.subjectпублікаціїuk_UA
dc.subjectpublicationsuk_UA
dc.titleАналіз використання Інтернету речей у проєктах класу "Розумне місто"uk_UA
dc.title.alternativeInternet of Things Technology Usage Analysis in the "Smart City" Class Projectsuk_UA
dc.typeBachelor Thesisuk_UA
dc.rights.holder© Юрчак Валерій Володимирович, 2023uk_UA
dc.contributor.committeeMemberЯцишин, Василь Володимирович-
dc.coverage.placenameТНТУ ім. І.Пулюя, ФІС, м. Тернопіль, Українаuk_UA
dc.subject.udc004.9uk_UA
dc.relation.references1 Duda, O., et al, Selection of Effective Methods of Big Data Analytical Processing in Information Systems of Smart Cities. CEUR Workshop Proceedings 2631, pp. 68-78. 2020.uk_UA
dc.relation.references2 Duda, O., Kunanets, N., Martsenko, S., Matsiuk, O., Pasichnyk, V., Building secure Urban information systems based on IoT technologies. CEUR Workshop Proceedings 2623, pp. 317-328. 2020.uk_UA
dc.relation.references3 M.M. Martín-Lopo, J. Boal, A. S´ anchez-Miralles, A literature review of IoT energy platforms aimed at end users, Computer Networks 171 (2020), 107101, ´ https://doi.org/10.1016/j.comnet.2020.107101.uk_UA
dc.relation.references4 P.M. Chanal, M.S. Kakkasageri, Security and Privacy in IoT: A Survey, Wireless Personal Communications 115 (2) (2020) 1667–1693, https://doi.org/ 10.1007/s11277-020-07649-9.uk_UA
dc.relation.references5 S. Bansal, D. Kumar, IoT Ecosystem: A Survey on Devices, Gateways, Operating Systems, Middleware and Communication, International Journal of Wireless Information Networks 27 (3) (2020) 340–364, https://doi.org/10.1007/s10776-020-00483-7.uk_UA
dc.relation.references6 F. Xhafa, A. Aly, A.A. Juan, Allocation of applications to Fog resources via semantic clustering techniques: with scenarios from intelligent transportation systems, Computing 103 (3) (2021) 361–378, https://doi.org/10.1007/s00607-020-00867-w.uk_UA
dc.relation.references7 Duda, O., Pasichnyk, V., Kunanets, N., Antonii, R., Matsiuk, O. Multidimensional Representation of COVID-19 Data Using OLAP Information Technology. International Scientific and Technical Conference on Computer Sciences and Information Technologies, 2020, 2, pp. 277–280, 9321889.uk_UA
dc.relation.references8 Markets and Markets. (2020). Industrial IoT (IIoT) Market by Device & Technology (Sensor, RFID, Industrial Robotics, DCS, Condition Monitoring, Networking Technology), Connectivity (Wired, Wireless, Field Technology), Software (PLM, MES, SCADA), Vertical, Region - Global Forecast to 2025. https://www. marketsandmarkets.com/Market-Reports/industrial-internet-of-things-market-129733727.html?gclid=CjwKCAiA1rPyBRAREiwA1UIy8HeVQ_ mbRZH2eOFTcuZok4BdBR_57FIIK72wJX4Wg1Y1hQIuAs-cUBoCnzcQAvD_BwE. Accessed 16 August 2020.uk_UA
dc.relation.references9 Statista, Number of connected devices worldwide 2030, Statista, 2020. https://www.statista.com/statistics/802690/worldwide-connected-devices-by-access- technology/. Accessed 14 November 2020.uk_UA
dc.relation.references10 Duda, O., Palka, O., Pasichnyk, V., Matsiuk, O., Kunanets, N., & Tabachyshyn, D. (2020, September). Existing City Assessment Systems. In 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT) (Vol. 2, pp. 238-241). IEEE.uk_UA
dc.relation.references11 A.A.-J. Mohammed, M.A. Burhanuddin, H. Basiron, D. Tunggal, Key Enablers of IoT Strategies in the Context of Smart City Innovation, Journal of Advanced Research in Dynamical and Control Systems 10 (4) (2018) 582–589.uk_UA
dc.relation.references12 H. Treiblmaier, A. Rejeb, A. Strebinger, Blockchain as a Driver for Smart City Development: Application Fields and a Comprehensive Research Agenda, Smart Cities 3 (3) (2020) 853–872, https://doi.org/10.3390/smartcities3030044.uk_UA
dc.relation.references13 A. Asensio, T. Blanco, R. Blasco, A. Marco, R. Casas, Managing Emergency Situations in the Smart City: The Smart Signal, Sensors 15 (6) (2015) 14370–14396, https://doi.org/10.3390/s150614370.uk_UA
dc.relation.references14 Duda O., Matsiuk O., Kunanets N., Pasichnyk V., Rzheuskyi A., Bilak Y., Formation of Hypercubes Based on Data Obtained from Systems of IoT Devices of Urban Resource Networks, International Journal of Sensors, Wireless Communications and Control (2020) 10: 1. ISSN 2210-3287.uk_UA
dc.relation.references15 C. Gonzalez García, D. Meana-Llori´ an, B.C. Pelayo G-Bustelo, J.M. Cueva Lovelle, N Garcia-Fernandez, Midgar: Detection of people through computer vision in ´ the Internet of Things scenarios to improve the security in Smart Cities, Smart Towns, and Smart Homes, Future Generation Computer Systems 76 (2017) 301–313, https://doi.org/10.1016/j.future.2016.12.033.uk_UA
dc.relation.references16 P. Tiwari, P.V. Ilavarasan, S. Punia, Content analysis of literature on big data in smart cities, Benchmarking: An International Journal 28 (5) (2021) 1837–1857, https://doi.org/10.1108/BIJ-12-2018-0442.uk_UA
dc.relation.references17 C. Zhang, Design and application of fog computing and Internet of Things service platform for smart city, Future Generation Computer Systems 112 (2020) 630–640, https://doi.org/10.1016/j.future.2020.06.016.uk_UA
dc.relation.references18 G. Marques, J. Saini, M. Dutta, P.K. Singh, W.-C. Hong, Indoor Air Quality Monitoring Systems for Enhanced Living Environments: A Review toward Sustainable Smart Cities, Sustainability 12 (10) (2020) 4024, https://doi.org/10.3390/su12104024.uk_UA
dc.relation.references19 F. Abate, M. Carratù, C. Liguori, V. Paciello, A low cost smart power meter for IoT, Measurement 136 (2019) 59–66, https://doi.org/10.1016/j.measurement.uk_UA
dc.relation.references20 I.T. Hawryszkiewycz, Cloud Requirements for Facilitating Business Collaboration: A Modeling Perspective, Journal of Organizational Computing and Electronic Commerce 24 (2–3) (2014) 174–185, https://doi.org/10.1080/10919392.2014.896726.uk_UA
dc.relation.references21 G. Javadzadeh, A.M. Rahmani, Fog Computing Applications in Smart Cities: A Systematic Survey, Wireless Networks 26 (2) (2020) 1433–1457, https://doi. org/10.1007/s11276-019-02208-y.uk_UA
dc.relation.references22 M. Janssen, S. Luthra, S. Mangla, N.P. Rana, Y.K. Dwivedi, Challenges for adopting and implementing IoT in smart cities: An integrated MICMAC-ISM approach, Internet Research 29 (6) (2019) 1589–1616, https://doi.org/10.1108/INTR-06-2018-0252.uk_UA
dc.relation.references23 J. Choi, S. Ahn, Scalable Service Placement in the Fog Computing Environment for the IoT-Based Smart City, Journal of Information Processing Systems 15 (2) (2019) 440–448, https://doi.org/10.3745/JIPS.03.0113.uk_UA
dc.relation.references24 C. Zheng, J. Yuan, L. Zhu, Y. Zhang, Q. Shao, From digital to sustainable: A scientometric review of smart city literature between 1990 and 2019, Journal of Cleaner Production 258 (2020), 120689, https://doi.org/10.1016/j.jclepro.2020.120689.uk_UA
dc.relation.references25 S. Zhou, X. Zhang, J. Liu, K. Zhang, Y. Zhao, Exploring development of smart city research through perspectives of governance and information systems: a scientometric analysis using CiteSpace, Journal of Science and Technology Policy Management 11 (4) (2020) 431–454, https://doi.org/10.1108/JSTPM-05- 2019-0051.uk_UA
dc.relation.references26 L. Mora, R. Bolici, M. Deakin, The First Two Decades of Smart-City Research: A Bibliometric Analysis, Journal of Urban Technology 24 (1) (2017) 3–27, https://doi.org/10.1080/10630732.2017.1285123.uk_UA
dc.relation.references27 L. Zhao, Z. Tang, X. Zou, Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis, Sustainability 11 (23) (2019) 6648, https://doi.org/10.3390/su11236648.uk_UA
dc.relation.references28 P. Bellini, P. Nesi, G. Pantaleo, IoT-Enabled Smart Cities: A Review of Concepts, Frameworks and Key Technologies, Applied Sciences 12 (3) (2022) 1607, https://doi.org/10.3390/app12031607.uk_UA
dc.relation.references29 Z. Yu, L. Song, L. Jiang, O. Khold Sharafi, Systematic literature review on the security challenges of blockchain in IoT-based smart cities, Kybernetes 51 (1) (2021) 323–347, https://doi.org/10.1108/K-07-2020-0449.uk_UA
dc.relation.references30 A. Mishra, A.V. Jha, B. Appasani, A.K. Ray, D.K. Gupta, A.N. Ghazali, Emerging technologies and design aspects of next generation cyber physical system with a smart city application perspective, International Journal of System Assurance Engineering and Management (2022), https://doi.org/10.1007/s13198-021- 01523-y.uk_UA
dc.relation.references31 M.J. Shehab, I. Kassem, A.A. Kutty, M. Kucukvar, N. Onat, T. Khattab, 5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives, IEEE Access 10 (2022) 2987–3006, https://doi.org/10.1109/ACCESS.2021.3139436.uk_UA
dc.relation.references32 Y. Wang, F. Zhang, J. Wang, L. Liu, B. Wang, A Bibliometric Analysis of Edge Computing for Internet of Things, Security and Communication Networks (2021), e5563868, https://doi.org/10.1155/2021/5563868.uk_UA
dc.relation.references33 M.A. Rivera, A. Pizam, Advances in hospitality research: “from Rodney Dangerfield to Aretha Franklin”, International Journal of Contemporary Hospitality Management 27 (3) (2015) 362–378, https://doi.org/10.1108/IJCHM-03-2014-0146.uk_UA
dc.relation.references34 M.P. Ferreira, C.F. Pinto, F.R. Serra, The transaction costs theory in international business research: a bibliometric study over three decades, Scientometrics 98 (3) (2014) 1899–1922, https://doi.org/10.1007/s11192-013-1172-8.uk_UA
dc.relation.references35 A. Rejeb, S. Simske, K. Rejeb, H. Treiblmaier, S. Zailani, Internet of Things Research in Supply Chain Management and Logistics: A Bibliometric Analysis, Internet of Things 12 (December) (2020), 100318, https://doi.org/10.1016/j.iot.2020.100318.uk_UA
dc.relation.references36 B. Fahimnia, J. Sarkis, H. Davarzani, Green supply chain management: A review and bibliometric analysis, International Journal of Production Economics 162 (2015) 101–114, https://doi.org/10.1016/j.ijpe.2015.01.003.uk_UA
dc.relation.references37 A. Foncubierta-Rodríguez, H. Müller, A. Depeursinge, Retrieval of high-dimensional visual data: current state, trends and challenges ahead, Multimedia Tools and Applications 69 (2) (2014) 539–567, https://doi.org/10.1007/s11042-012-1327-2.uk_UA
dc.relation.references38 A.-R. Ramos-Rodríguez, J. Ruíz-Navarro, Changes in the intellectual structure of strategic management research: a bibliometric study of the Strategic Management Journal, 1980–2000, Strategic Management Journal 25 (10) (2004) 981–1004, https://doi.org/10.1002/smj.397.uk_UA
dc.relation.references39 V. Della Corte, G. Del Gaudio, F. Sepe, Ethical food and the kosher certification: a literature review, British Food Journal 120 (10) (2018) 2270–2288, https:// doi.org/10.1108/BFJ-09-2017-0538.uk_UA
dc.relation.references40 V. Aryadoust, B.H. Ang, Exploring the frontiers of eye tracking research in language studies: a novel co-citation scientometric review, Computer Assisted Language Learning (2019) 1–36, https://doi.org/10.1080/09588221.2019.1647251.uk_UA
dc.relation.references41 S.H. Al-Khalifa, Scientometric assessment of Saudi publication productivity in computer science in the period of 1978-2012, International Journal of Web Information Systems 10 (2) (2014) 194–208, https://doi.org/10.1108/IJWIS-01-2014-0001.uk_UA
dc.relation.references42 Rejeb, Abderahman, et al. "The big picture on the internet of things and the smart city: a review of what we know and what we need to know." Internet of Things 19 (2022): 100565.uk_UA
dc.relation.references43 I. Ajiferuke, Q. Burell, J. Tague, Collaborative coefficient: A single measure of the degree of collaboration in research, Scientometrics 14 (5–6) (2005) 421–433, https://doi.org/10.1007/bf02017100.uk_UA
dc.relation.references44 D.J. De Solla Price, D. Beaver, Collaboration in an invisible college, American Psychologist 21 (11) (1966) 1011–1018, https://doi.org/10.1037/h0024051. [90] M. Deakin, A. Reid, Smart cities: Under-gridding the sustainability of city-districts as energy efficient-low carbon zones, Journal of Cleaner Production 173 (2018) 39–48, https://doi.org/10.1016/j.jclepro.2016.12.054.uk_UA
dc.relation.references45 M. Barcelo, A. Correa, J. Llorca, A.M. Tulino, J.L. Vicario, A. Morell, IoT-Cloud Service Optimization in Next Generation Smart Environments, IEEE Journal on Selected Areas in Communications 34 (12) (2016) 4077–4090, https://doi.org/10.1109/JSAC.2016.2621398.uk_UA
dc.relation.references46 M. Callon, J. Law, A. Rip, How to Study the Force of Science, in: M. Callon, J. Law, A. Rip (Eds.), Mapping the Dynamics of Science and Technology: Sociology of Science in the Real World, Palgrave Macmillan UK, London, 1986, pp. 3–15, https://doi.org/10.1007/978-1-349-07408-2_1.uk_UA
dc.relation.references47 A.A. Khasseh, F. Soheili, H.S. Moghaddam, A.M. Chelak, Intellectual structure of knowledge in iMetrics: A co-word analysis, Information Processing & Management 53 (3) (2017) 705–720, https://doi.org/10.1016/j.ipm.2017.02.001.uk_UA
dc.relation.references48 E.K. Kevork, A.P. Vrechopoulos, CRM literature: conceptual and functional insights by keyword analysis, Marketing Intelligence & Planning 27 (1) (2009) 48–85, https://doi.org/10.1108/02634500910928362.uk_UA
dc.relation.references49 M.J. Cobo, A.G. Lopez-Herrera, E. Herrera-Viedma, F. Herrera, Science mapping software tools: Review, analysis, and cooperative study among tools, Journal ´ of the American Society for Information Science and Technology 62 (7) (2011) 1382–1402, https://doi.org/10.1002/asi.21525.uk_UA
dc.relation.references50 P. Bellavista, C. Giannelli, S. Lanzone, G. Riberto, C. Stefanelli, M. Tortonesi, A Middleware Solution for Wireless IoT Applications in Sparse Smart Cities, Sensors 17 (11) (2017) 2525, https://doi.org/10.3390/s17112525.uk_UA
dc.relation.references51 W.-T. Chiu, Y.-S. Ho, Bibliometric analysis of tsunami research, Scientometrics 73 (1) (2007) 3–17, https://doi.org/10.1007/s11192-005-1523-1.uk_UA
dc.relation.references52 A. Camero, E. Alba, Smart City and information technology: A review, Cities 93 (2019) 84–94, https://doi.org/10.1016/j.cities.2019.04.014.uk_UA
dc.relation.references53 N. Kshetri, The evolution of the internet of things industry and market in China: An interplay of institutions, demands and supply, Telecommunications Policy 41 (1) (2017) 49–67, https://doi.org/10.1016/j.telpol.2016.11.002.uk_UA
dc.relation.references54 T.R.G. Asir, K.N. Sivaranjani, W. Anandaraj, Internet of things and India’s readiness, International Journal of Applied Engineering Research 10 (69) (2015) 274–279.uk_UA
dc.relation.references55 S. Ahmed, M.A. Shah, K. Wakil, Blockchain as a Trust Builder in the Smart City Domain: A Systematic Literature Review, IEEE Access 8 (2020) 92977–92985.uk_UA
dc.relation.references56 F. Alharbi, Integrating internet of things in electrical engineering education, The International Journal of Electrical Engineering & Education (2020), https:// doi.org/10.1177/0020720920903422, 0020720920903422.uk_UA
dc.relation.references57 S.H. Zyoud, D. Fuchs-Hanusch, Estimates of Arab world research productivity associated with groundwater: a bibliometric analysis, Applied Water Science 7(3) (2017) 1255–1272, https://doi.org/10.1007/s13201-016-0520-2.uk_UA
dc.relation.references58 A. Alkhodre, Statistical-Based Trustful Access Control Framework for Smart Campuses, International Journal of Advanced Computer Science and Applications 9 (9) (2018) 111–117.uk_UA
dc.relation.references59 A. Gharaibeh, M.A. Salahuddin, S.J. Hussini, A. Khreishah, I. Khalil, M. Guizani, A. Al-Fuqaha, Smart Cities: A Survey on Data Management, Security, and Enabling Technologies, IEEE Communications Surveys Tutorials 19 (4) (2017) 2456–2501, https://doi.org/10.1109/COMST.2017.2736886.uk_UA
dc.relation.references60 A. Wang, P. Wang, X. Miao, X. Li, N. Ye, Y. Liu, A review on non-terrestrial wireless technologies for Smart City Internet of Things, International Journal of Distributed Sensor Networks 16 (6) (2020), 1550147720936824, https://doi.org/10.1177/1550147720936824.uk_UA
dc.relation.references61 I. Belkacem, S. Nait-Bahloul, D. Sauveron, Enhancing dependability through profiling in the collaborative internet of things, Multimedia Tools and Applications 78 (3) (2019) 2983–3007, https://doi.org/10.1007/s11042-017-5431-1.uk_UA
dc.relation.references62 A. Aliyu, A.H. Abdullah, O. Kaiwartya, Y. Cao, J. Lloret, N. Aslam, U.M. Joda, Towards video streaming in IoT Environments: Vehicular communication perspective, Computer Communications 118 (2018) 93–119, https://doi.org/10.1016/j.comcom.2017.10.003.uk_UA
dc.relation.references63 A. Alchihabi, A. Dervis, E. Ever, F. Al-Turjman, A generic framework for optimizing performance metrics by tuning parameters of clustering protocols in WSNs, Wireless Networks 25 (3) (2019) 1031–1046, https://doi.org/10.1007/s11276-018-1665-8.uk_UA
dc.relation.references64 P. Eliopoulos, N.-A. Tatlas, I. Rigakis, I. Potamitis, A “Smart” Trap Device for Detection of Crawling Insects and Other Arthropods in Urban Environments, Electronics 7 (9) (2018) 161, https://doi.org/10.3390/electronics7090161.uk_UA
dc.relation.references65 A.K.M. Al-Qurabat, A.K. Idrees, Data gathering and aggregation with selective transmission technique to optimize the lifetime of Internet of Things networks, International Journal of Communication Systems 33 (11) (2020) e4408, https://doi.org/10.1002/dac.4408.uk_UA
dc.relation.references66 M.V. Ramesh, R. Prabha, H. Thirugnanam, A.R. Devidas, D. Raj, S. Anand, R.K. Pathinarupothi, Achieving sustainability through smart city applications: protocols, systems and solutions using IoT and wireless sensor network, CSI Transactions on ICT 8 (2) (2020) 213–230, https://doi.org/10.1007/s40012-020- 00285-5.uk_UA
dc.relation.references67 S. Hanif, A.M. Khedr, Z. Al Aghbari, D.P Agrawal, Opportunistically Exploiting Internet of Things for Wireless Sensor Network Routing in Smart Cities, Journal of Sensor and Actuator Networks 7 (4) (2018) 46, https://doi.org/10.3390/jsan7040046.uk_UA
dc.relation.references68 J. Curzon, A. Almehmadi, K. El-Khatib, A survey of privacy enhancing technologies for smart cities, Pervasive and Mobile Computing 55 (2019) 76–95, https://doi.org/10.1016/j.pmcj.2019.03.001.uk_UA
dc.relation.references69 A. Botta, W. de Donato, V. Persico, A. Pescap´e, Integration of Cloud computing and Internet of Things: A survey, Future Generation Computer Systems 56 (2016) 684–700, https://doi.org/10.1016/j.future.2015.09.021.uk_UA
dc.relation.references70 X. Chen, S. Zhang, X. Ding, S.N. Kadry, C.-H. Hsu, IoT cloud platform for information processing in smart city, Computational Intelligence 37 (3) (2020) 1428–1444, https://doi.org/10.1111/coin.12387.uk_UA
dc.relation.references71 M. Mital, A.K. Pani, S. Damodaran, R. Ramesh, Cloud based management and control system for smart communities: A practical case study, Computers in Industry 74 (2015) 162–172, https://doi.org/10.1016/j.compind.2015.06.009.uk_UA
dc.relation.references72 A.M. Al-Smadi, M.K. Alsmadi, A. Baareh, I. Almarashdeh, H. Abouelmagd, O.S.S. Ahmed, Emergent situations for smart cities: a survey, International Journal of Electrical & Computer Engineering 9 (6) (2019) 4777–4787, https://doi.org/10.11591/ijece.v9i6.pp4777-4787.uk_UA
dc.relation.references73 S.E. Bibri, The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability, Sustainable Cities and Society 38 (2018) 230–253, https://doi.org/10.1016/j.scs.2017.12.034.uk_UA
dc.relation.references74 C. Yang, Q. Huang, Z. Li, K. Liu, F. Hu, Big Data and cloud computing: innovation opportunities and challenges, International Journal of Digital Earth 10 (1) (2017) 13–53, https://doi.org/10.1080/17538947.2016.1239771.uk_UA
dc.relation.references75 I. Mansour, R. Sahandi, K. Cooper, A. Warman, Interoperability in the Heterogeneous Cloud Environment: A Survey of Recent User-centric Approaches, in: Proceedings of the International Conference on Internet of things and Cloud Computing, New York, NY, USA, Association for Computing Machinery, 2016, pp. 1–7, https://doi.org/10.1145/2896387.2896447.uk_UA
dc.relation.references76 J.-M. Kang, H. Bannazadeh, H. Rahimi, T. Lin, M. Faraji, A. Leon-Garcia, Software-defined infrastructure and the Future Central Office, in: 2013 IEEE International Conference on Communications Workshops (ICC), IEEE, 2013, pp. 225–229.uk_UA
dc.relation.references77 G. Jia, G. Han, H. Rao, L. Shu, Edge Computing-Based Intelligent Manhole Cover Management System for Smart Cities, IEEE Internet of Things Journal 5 (3) (2018) 1648–1656, https://doi.org/10.1109/JIOT.2017.2786349.uk_UA
dc.relation.references78 L. Gu, D. Zeng, S. Guo, A. Barnawi, Y. Xiang, Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System, IEEE Transactions on Emerging Topics in Computing 5 (1) (2017) 108–119, https://doi.org/10.1109/TETC.2015.2508382.uk_UA
dc.relation.references79 N. Chen, Y. Chen, S. Song, C.-T. Huang, X. Ye, Poster Abstract: Smart Urban Surveillance Using Fog Computing, in: 2016 IEEE/ACM Symposium on Edge Computing (SEC), IEEE/ACM, 2016, pp. 95–96.uk_UA
dc.relation.references80 M.R. Anawar, S. Wang, M. Azam Zia, A.K. Jadoon, U. Akram, S. Raza, Fog Computing: An Overview of Big IoT Data Analytics, Wireless Communications and Mobile Computing 2018 (2018), e7157192, https://doi.org/10.1155/2018/7157192.uk_UA
dc.relation.references81 S.B. Atitallah, M. Driss, W. Boulila, H.B. Gh´ezala, Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions, Computer Science Review 38 (2020), 100303, https://doi.org/10.1016/j.cosrev.2020.100303.uk_UA
dc.relation.references82 K. Bilal, O. Khalid, A. Erbad, S.U. Khan, Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers, Computer Networks 130 (2018) 94–120, https://doi.org/10.1016/j.comnet.2017.10.002.uk_UA
dc.relation.references83 E. Ahmed, I. Yaqoob, I.A.T. Hashem, I. Khan, A.I.A. Ahmed, M. Imran, A.V. Vasilakos, The role of big data analytics in Internet of Things, Computer Networks 129 (2017) 459–471.uk_UA
dc.relation.references84 I.U. Din, M. Guizani, J.J.P.C. Rodrigues, S. Hassan, V.V. Korotaev, Machine learning in the Internet of Things: Designed techniques for smart cities, Future Generation Computer Systems 100 (2019) 826–843, https://doi.org/10.1016/j.future.2019.04.017.uk_UA
dc.relation.references85 S.H. Alsamhi, O. Ma, Mohd.S. Ansari, Q. Meng, Greening internet of things for greener and smarter cities: a survey and future prospects, Telecommunication Systems 72 (4) (2019) 609–632, https://doi.org/10.1007/s11235-019-00597-1.uk_UA
dc.relation.references86 A. Lee, X. Wang, H. Nguyen, I. Ra, A Hybrid Software Defined Networking Architecture for Next-Generation IoTs, KSII Transactions on Internet and Information Systems (TIIS) 12 (2) (2018) 932–945, https://doi.org/10.3837/tiis.2018.02.024.uk_UA
dc.relation.references87 G.L. Santos, P.T. Endo, D. Sadok, J. Kelner, When 5G Meets Deep Learning: A Systematic Review, Algorithms 13 (9) (2020) 208, https://doi.org/10.3390/ a13090208.uk_UA
dc.relation.references88 A. Zanella, N. Bui, A. Castellani, L. Vangelista, M. Zorzi, Internet of Things for Smart Cities, IEEE Internet of Things Journal 1 (1) (2014) 22–32, https://doi. org/10.1109/JIOT.2014.2306328.uk_UA
dc.relation.references89 J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang, W. Zhao, A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications, IEEE Internet of Things Journal 4 (5) (2017) 1125–1142, https://doi.org/10.1109/JIOT.2017.2683200.uk_UA
dc.relation.references90 J. Jin, J. Gubbi, S. Marusic, M. Palaniswami, An Information Framework for Creating a Smart City Through Internet of Things, IEEE Internet of Things Journal 1 (2) (2014) 112–121, https://doi.org/10.1109/JIOT.2013.2296516.uk_UA
dc.relation.references91 U. Raza, P. Kulkarni, M. Sooriyabandara, Low Power Wide Area Networks: An Overview, IEEE Communications Surveys Tutorials 19 (2) (2017) 855–873, https://doi.org/10.1109/COMST.2017.2652320.uk_UA
dc.relation.references92 P.H.S. Gonçalves, T. Gonçalves-Souza, U.P. Albuquerque, Chronic anthropogenic disturbances in ecology: a bibliometric approach, Scientometrics 123 (2) (2020) 1103–1117. https://ideas.repec.org/a/spr/scient/v123y2020i2d10.1007_s11192-020-03403-x.html. Accessed 17 November 2020.uk_UA
dc.relation.references93 C. Chen, I.-Y. Song, X. Yuan, J. Zhang, The thematic and citation landscape of Data and Knowledge Engineering (1985–2007), Data & Knowledge Engineering 67 (2) (2008) 234–259, https://doi.org/10.1016/j.datak.2008.05.004.uk_UA
dc.relation.references94 Y. Li, J. Li, S. Xie, Bibliometric analysis: global research trends in biogenic volatile organic compounds during 1991–2014, Environmental earth sciences (2017). https://agris.fao.org/agris-search/search.do?recordID=US201800194028. Accessed 17 November 2020.uk_UA
dc.relation.references95 P.-C. Lee, H.-N. Su, Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis, Innovation 12 (1) (2010) 26–40, https://doi.org/10.5172/impp.12.1.26.uk_UA
dc.relation.references96 C. Colicchia, A. Creazza, C. No`e, F. Strozzi, Information sharing in supply chains: a review of risks and opportunities using the systematic literature network analysis (SLNA), Supply Chain Management: An International Journal 24 (1) (2019) 5–21, https://doi.org/10.1108/SCM-01-2018-0003.uk_UA
dc.relation.references97 K. Borner, C. Chen, K.W. Boyack, Visualizing Knowledge Domains, Annual Review of Information Science and Technology (ARIST) 37 (2003) 17¨ 9–255.uk_UA
dc.relation.references98 H.-P. Kriegel, P. Kroger, J. Sander, A. Zimek, Density-based clustering, WIREs Data Mining and Knowledge Discovery 1 (3) (2011) 231¨ –240, https://doi.org/ 10.1002/widm.30.uk_UA
dc.relation.references99 R. Edirisinghe, Digital skin of the construction site: Smart sensor technologies towards the future smart construction site, Engineering, Construction and Architectural Management 26 (2) (2019) 184–223, https://doi.org/10.1108/ECAM-04-2017-0066.uk_UA
dc.relation.references100 Категорійно-понятійний апарат з безпеки життєдіяльності, таксономія небезпек. http://opcb.kpi.ua/wp-content/uploads/2014/09/%D0%9A%D0%BE%D0%BD%D1%81%D0%BF%D0%B5%D0%BA%D1%82%D0%9E%D0%9F%D0%A6%D0%91-%D0%A0%D0%BE%D0%B7%D0%B4%D1%96%D0%BB1.pdfuk_UA
dc.relation.references101 В. М. Андрієнко. ПОНЯТТЯ БЕЗПЕКИ ПРАЦІ У СИСТЕМІ СУЧАСНИХ ЕКОНОМІЧНИХ ДОСЛІДЖЕНЬ. http://www.economy.nayka.com.ua/?op=1&z=2366uk_UA
dc.relation.references102 Контроль за станом охорони праці на підприємстві. https://pro-op.com.ua/article/262-qqq-16-m1-11-01-2016-kontrol-za-stanom-ohoroni-prats-na-pdprimstvuk_UA
dc.relation.references103 Як контролювати стан охорони праці на підприємстві: основні кроки у поміч. https://nov-rada.gov.ua/2021/06/18/iak-kontroliuvaty-stan-okhorony-pratsi-na-pidpryiemstvi-osnovni-kroky-u-pomich/uk_UA
dc.contributor.affiliationТНТУ ім. І. Пулюя, Факультет комп’ютерно-інформаційних систем і програмної інженерії, Кафедра комп’ютерних наук, м. Тернопіль, Українаuk_UA
dc.coverage.countryUAuk_UA
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