Developing Public speaking skills of undergraduate senior students for academic purposes

Dissemination Plan

The project's primary objective is the creation of an air quality monitoring system based on artificial intelligence and the internet of things. The current information system will be presented other regions of Uzbekistan where is located huge industrial zones and agricultural fields. This system permits the estimation of pollution levels by gathering information from air quality monitoring devices, making it applicable to other locations like Navoi with its densely populated industrial zones.
Training, workshops will be organized for enterprise workers which care and desire to monitor their pollution levels. Training and workshop will be organized for utilization and efficiency of the system.
Team members will present their findings at conferences and publish their findings in scientific publications to demonstrate the effectiveness of existing system.
Furthermore, special round table discussions will be held for government agencies in charge of Ecology, Public Health of Uzbekistan. Governmental agencies that manage the ecosystem of industrial zones will benefit from the IS. In addition to the system, institutions involved in public health and statistics will have access to additional database. They may further study the relationship between air pollution and the local population's pre-existing health issues since it offers information on the pollution levels of the object area.
Finally, full information of current project can be viewed at official web-site and in social media accounts.
Confidentiality of research data:
Participant’s identity, personal information, responses, etc. will not be disclosed to anyone outside of the research team unless otherwise agreed upon. To protect participants’ confidentiality, we may encrypt computer-based files, store documents (i.e., signed consent forms) in a locked file cabinet.
Early achievements track-record (max. 2 pages):

Temurbek Kuchkorov is dean of the Computer Engineering Faculty of TUIT named after Muhammad alKhwarizmi and associate professor of department “Computer systems”. He is coordinator of international Erasmus+ CBHE project called “New and Innovative Courses for Precision Agriculture - NICoPA” and as well as he is head of “GisLab” laboratory. He is supervisor of 3 PhD researchers and about 10 master and bachelor students. His research area is related to the satellite/aerial imagery, environmental monitoring, precision agriculture, intellectual transport systems and medical image processing. Project related publications: Usmanov R.N., Kuchkorov T.A. and Oteniyazov R.I., Environmental monitoring to get special data from observation points (based on ecological factors). European Science Review, 2016, (910), pp.217-220. Safarov, Furkat, Kuchkorov Temurbek, Djumanov Jamoljon, Ochilov Temur, Jean Chamberlain Chedjou, Akmalbek Abdusalomov, and Young-Im Cho. 2022. "Improved Agricultural Field Segmentation in Satellite Imagery Using TL-ResUNet Architecture" Sensors 22, no. 24: 9784. https://doi.org/10.3390/s22249784