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http://elartu.tntu.edu.ua/handle/lib/41652| Назва: | Аналіз використання Інтернету речей у проєктах класу "Розумне місто" |
| Інші назви: | Internet of Things Technology Usage Analysis in the "Smart City" Class Projects |
| Автори: | Юрчак, Валерій Володимирович Yurchak, Valerii Volodymyrovych |
| Приналежність: | ТНТУ ім. І. Пулюя, Факультет комп’ютерно-інформаційних систем і програмної інженерії, Кафедра комп’ютерних наук, м. Тернопіль, Україна |
| Бібліографічний опис: | Юрчак 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. |
| Дата публікації: | 21-чер-2023 |
| Дата подання: | 7-чер-2023 |
| Дата внесення: | 21-чер-2023 |
| Країна (код): | UA |
| Місце видання, проведення: | ТНТУ ім. І.Пулюя, ФІС, м. Тернопіль, Україна |
| Науковий керівник: | Дуда, Олексій Михайлович |
| Члени комітету: | Яцишин, Василь Володимирович |
| УДК: | 004.9 |
| Теми: | аналіз analysis бібліометрія bibliometrics Інтернет речей Internet of things інформаційні технології information technologies пошук search розумне місто smart city публікації publications |
| Короткий огляд (реферат): | Кваліфікаційна 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. |
| Зміст: | ВСТУП 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 40 |
| URI (Уніфікований ідентифікатор ресурсу): | http://elartu.tntu.edu.ua/handle/lib/41652 |
| Власник авторського права: | © Юрчак Валерій Володимирович, 2023 |
| Перелік літератури: | 1 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. 2 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. 3 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. 4 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. 5 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. 6 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. 7 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. 8 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. 9 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. 10 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. 11 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. 12 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. 13 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. 14 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. 15 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. 16 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. 17 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. 18 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. 19 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. 20 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. 21 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. 22 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. 23 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. 24 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. 25 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. 26 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. 27 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. 28 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. 29 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. 30 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. 31 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. 32 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. 33 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. 34 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. 35 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. 36 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. 37 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. 38 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. 39 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. 40 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. 41 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. 42 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. 43 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. 44 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. 45 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. 46 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. 47 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. 48 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. 49 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. 50 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. 51 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. 52 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. 53 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. 54 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. 55 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. 56 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. 57 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. 58 A. Alkhodre, Statistical-Based Trustful Access Control Framework for Smart Campuses, International Journal of Advanced Computer Science and Applications 9 (9) (2018) 111–117. 59 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. 60 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. 61 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. 62 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. 63 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. 64 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. 65 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. 66 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. 67 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. 68 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. 69 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. 70 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. 71 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. 72 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. 73 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. 74 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. 75 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. 76 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. 77 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. 78 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. 79 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. 80 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. 81 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. 82 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. 83 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. 84 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. 85 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. 86 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. 87 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. 88 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. 89 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. 90 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. 91 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. 92 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. 93 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. 94 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. 95 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. 96 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. 97 K. Borner, C. Chen, K.W. Boyack, Visualizing Knowledge Domains, Annual Review of Information Science and Technology (ARIST) 37 (2003) 17¨ 9–255. 98 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. 99 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. 100 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.pdf 101 В. М. Андрієнко. ПОНЯТТЯ БЕЗПЕКИ ПРАЦІ У СИСТЕМІ СУЧАСНИХ ЕКОНОМІЧНИХ ДОСЛІДЖЕНЬ. http://www.economy.nayka.com.ua/?op=1&z=2366 102 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-pdprimstv 103 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/ |
| Тип вмісту: | Bachelor Thesis |
| Розташовується у зібраннях: | 122 — Компʼютерні науки (бакалаври) |
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