Modern comprehensive information system for environmental quality monitoring

dc.citation.epage257
dc.citation.issue4
dc.citation.spage251
dc.contributor.affiliationKyiv National University of Construction and Architecture
dc.contributor.authorHoncharenko, Artem
dc.contributor.authorVoloshkina, Olena
dc.contributor.authorKupinskyi, Ihor
dc.contributor.authorZhukova, Olena
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2023-05-04T07:46:03Z
dc.date.available2023-05-04T07:46:03Z
dc.date.created2021-06-01
dc.date.issued2021-06-01
dc.description.abstractThe threat to ecological balance can turn into a global problem, and we observe its deviations, which arise as a result of complex relationships between natural and social environments. Direct and indirect human impact on Earth's ecosystems together and interdependently form the planet's ecosystem, resulting in changes in the social environment of a human. Today's global problems are increasingly shifting to the side of developing countries, where environmental pressure is increasing because along with “pre-industrial” pollution, a new one is emerging, related to the invasion of multinational corporations and “exports” of polluting industries to “third world” countries. Modern “industrial” pollution in developing countries is the result of the transfer of many polluting industries to the “third world”, such as the construction of enterprises, chemical plants, chemicalization of agriculture. Due to this, the concentration of the population in the largest agglomerations is growing.
dc.format.extent251-257
dc.format.pages7
dc.identifier.citationModern comprehensive information system for environmental quality monitoring / Artem Honcharenko, Olena Voloshkina, Ihor Kupinskyi, Olena Zhukova // Environmental Problems. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 6. — No 4. — P. 251–257.
dc.identifier.citationenModern comprehensive information system for environmental quality monitoring / Artem Honcharenko, Olena Voloshkina, Ihor Kupinskyi, Olena Zhukova // Environmental Problems. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 6. — No 4. — P. 251–257.
dc.identifier.doidoi.org/10.23939/ep2021.04.251
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/59009
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofEnvironmental Problems, 4 (6), 2021
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dc.relation.referencesen(2020). Implementation of arthemetic logic unit using
dc.relation.referencesenquaternary signed digit number system. International
dc.relation.referencesenJournal of Psychosocial Rehabilitation, 24(8), 363–375.
dc.relation.referencesendoi: https://doi.org/10.37200/IJPR/V24I8/PR281513
dc.relation.referencesenArasteh, H., Hosseinnezhad, V., Loia, V., Tommasetti, A.,
dc.relation.referencesenTroisi, O., Shafie-Khah, M., & Siano, P. (2016). Iot-based
dc.relation.referencesensmartcities: a survey IEEE. 16th International Conference
dc.relation.referencesenEnvironment and Electrical Engineering (EEEIC), 1–6. doi:
dc.relation.referencesenhttps://doi.org/10.1109/EEEIC.2016.7555867
dc.relation.referencesenAugusto, J. C., & McCullagh, P. J. (2007). Ambient
dc.relation.referencesenintelligence: Concepts and applications. Computer.Sci.
dc.relation.referencesenInf. Syst., 4(1), 1–27. doi: https://doi.org/10.3233/AIS180508
dc.relation.referencesenBaggio, A. (2005).Wireless sensor networksin precision
dc.relation.referencesenagriculture. Real World Wireless Sensor Networks
dc.relation.referencesenStockholm Sweden, 20, 587–594. doi: https://doi.org/10.4236/wsn.2016.81001
dc.relation.referencesenBahrepour, M., Meratnia, N., Poel, M., Taghikhaki, Z.,
dc.relation.referencesenHavinga, P. J. (2010). Distributed Event detection
dc.relation.referenceseninwireless sensor networks for disaster management
dc.relation.referencesenInternational conference on intelligent networking and
dc.relation.referencesencollaborative systems (IEEE), 3, 507–512. doi:
dc.relation.referencesenhttps://doi.org/10.1109/INCOS.2010.24
dc.relation.referencesenDelden, S., & Whigham, A. (2013). A Bluetooth-based Architecture
dc.relation.referencesenfor Android Communication with an Articulated Robot,
dc.relation.referencesenIEEE, 47, 777–780. doi: https://doi.org/10.1109/CTS.2012.6261035
dc.relation.referencesenJhansi Rani, G., Raghava Kumari, D., Anitha, M., & Sarita, B.
dc.relation.referencesen(2020). Analysis of raspberry pi based ATM thef
dc.relation.referencesenmonitoring and security system. International Journal of
dc.relation.referencesenPsychosocial Rehabilitation, 24(8), 376–383. doi:
dc.relation.referencesenhttps://doi.org/10.37200/IJPR/V24I8/PR281514
dc.relation.referencesenJenifer, T., Priyadharshini, T., Lavanya, R., & Pandian S.
dc.relation.referencesen(2012). Mobile Robot Temperature Monitoring System
dc.relation.referencesenControlled by Android Application via Bluetooth.
dc.relation.referencesenInternational Journal on Advanced Computer Theory and
dc.relation.referencesenEngineering, 2, 138–142. doi: https://doi.org/10.7305/2015.10.1057
dc.relation.referencesenPalaniappan, S., Hariharan, N., Kesh, N., & Deborah, A. (2015).
dc.relation.referencesenA Study – Home Automation Systems. International
dc.relation.referencesenJournal of Computer Applications, 116(11), 11–18. doi:
dc.relation.referencesenhttps://doi.org/10.5120/20379-2601
dc.relation.referencesenSpong, M., Fujita, M., AbdulIshaq, T., & Irfan, K. A. (2016).
dc.relation.referencesenGesture Controlled robotic arm using wireless networks.
dc.relation.referencesenInternational Journal of Core Engineering &
dc.relation.referencesenManagement, 3(1), 10–17. doi: https://doi.org/10.1088/1757-899X/981/3/032025
dc.relation.referencesenSrinivas, K, Kumar, J. T., & Merugu, S. (2019). GEVD based
dc.relation.referencesenon multichannel wiener filter for removal of EEG artifacts.
dc.relation.referencesenInternational Journal of Innovative Technology and
dc.relation.referencesenExploring Engineering, 8(10) 2417–2421. doi:
dc.relation.referencesenhttps://doi.org/10.35940/ijitee.H6755.0881019
dc.relation.referencesenZheng, S., & Hong, Xu (2014). The remote monitoring system
dc.relation.referencesenbasedon Raspberry Pi. Microcomputer and Its Applications, 19, 105–107. doi: https://doi.org/3390/su13158120
dc.relation.urihttps://doi.org/10.37200/IJPR/V24I8/PR281513
dc.relation.urihttps://doi.org/10.1109/EEEIC.2016.7555867
dc.relation.urihttps://doi.org/10.3233/AIS180508
dc.relation.urihttps://doi.org/10.4236/wsn.2016.81001
dc.relation.urihttps://doi.org/10.1109/INCOS.2010.24
dc.relation.urihttps://doi.org/10.1109/CTS.2012.6261035
dc.relation.urihttps://doi.org/10.37200/IJPR/V24I8/PR281514
dc.relation.urihttps://doi.org/10.7305/2015.10.1057
dc.relation.urihttps://doi.org/10.5120/20379-2601
dc.relation.urihttps://doi.org/10.1088/1757-899X/981/3/032025
dc.relation.urihttps://doi.org/10.35940/ijitee.H6755.0881019
dc.relation.urihttps://doi.org/3390/su13158120
dc.rights.holder© Національний університет “Львівська політехніка”, 2021
dc.rights.holder© Honcharenko A., Voloshkina O., Kupinskyi I., Zhukova O., 2021
dc.subjectecosystem
dc.subjectenvironmental problem
dc.subjectpollution
dc.subjectecological monitoring
dc.subjectanthropogenic factors
dc.subjecteco-business
dc.titleModern comprehensive information system for environmental quality monitoring
dc.typeArticle

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