Applications of uav and its use cases - Landfill Site Mapping and Glacial Lake Mapping

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Presented two use cases of the UAV. 1. Landfill Site (Dumping Site Mapping) 2. Glacial lake Mapping for Lake lowering (Protecting Livelihoods against potential Disasters)

Applications of UAV
Surveying & Mapping Agriculture Search & Rescue
Surveillance Research Cargo Delivery And many more….

UAV Use Cases > Landfill Site Mapping
Planning & Field Activities

UAV FLIGHT
UAV Use Cases > Landfill Site Mapping
Planning & Field Activities
DGPS Survey
Field Team

Flight PathsSparse Point Clouds
Dense Point Clouds
UAV Use Cases > Landfill Site Mapping
Image Processing and Outputs

UAV Use Cases
> Landfill Site
Mapping
Image
Processing and
Outputs

UAV Use Cases
> Landfill Site
Mapping
Cadastral Data
Overlay

UAV Use Cases
> Landfill Site
Mapping
Cut Fill
Volume
Calculation

➢ 47 potentially dangerous glacial lakes identified
in Nepal.
➢ ICIMOD in 2018 with the support of UNDP
and Government of Nepal.
Four Lakes namely:
➢ Thulagi, Lumding, Lower Barun and Hongu
2 Glacial Lakes
➢ Assisting Study on "Safeguarding lives and
livelihoods against Flood & GLOF risks in Nepal”
UAV Use Cases > Glacier Mapping
Introduction

UAV Use Cases > Glacier Mapping
Introduction
Lumding Tsho

UAV Use Cases > Glacier Mapping
Introduction

UAV Use Cases > Glacier Mapping
Planning & Field Activities

UAV Use Cases > Glacier Mapping
Image Processing
and Outputs

UAV Use Cases > Glacier Mapping
Engineering Design,
Cost Estimate and
Reports

UAV Use Cases > Glacier Mapping
Second Field Visit to
3 Other Lakes

UAV Use Cases > Landfill Site Mapping
Project Location

Helicopter landed in
a sloppy terrain
about 200m
downstream of the
Thulagi lake

Thulagi lake first
test with data gaps
at some areas

Improved paths and
improved overlaps in
other lakes

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Slides from talk presenting: Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking. Presentation at IcETRAN 2024 session: "Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation" IEEE Slovenia GRSS IEEE Serbia and Montenegro MTT-S IEEE Slovenia CIS 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING 3-6 June 2024, Niš, Serbia

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A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS

IJNSA Journal

The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.

DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL

gerogepatton

As digital technology becomes more deeply embedded in power systems, protecting the communication networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3) represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities. Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network (CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to train and test our model. The results of our experiments show that our CNN-LSTM method is much better at finding smart grid intrusions than other deep learning algorithms used for classification. In addition, our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection accuracy rate of 99.50%.

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Electric vehicle and photovoltaic advanced roles in enhancing the financial p...

IJECEIAES

Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network

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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.

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Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...

Wearable antenna for antenna applications

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A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS

DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL

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Applications of uav and its use cases - Landfill Site Mapping and Glacial Lake Mapping

1. Applications of UAV and its Use Case

2. Presentation Outline

3. Applications of UAV Surveying & Mapping Agriculture Search & Rescue Surveillance Research Cargo Delivery And many more….

4. UAV Use Cases > Landfill Site Mapping

5. UAV Use Cases > Landfill Site Mapping Planning & Field Activities

6. UAV FLIGHT UAV Use Cases > Landfill Site Mapping Planning & Field Activities DGPS Survey Field Team

7. Flight PathsSparse Point Clouds Dense Point Clouds UAV Use Cases > Landfill Site Mapping Image Processing and Outputs

8. UAV Use Cases > Landfill Site Mapping Image Processing and Outputs

9. UAV Use Cases > Landfill Site Mapping Cadastral Data Overlay

10. UAV Use Cases > Landfill Site Mapping Cut Fill Volume Calculation

11. UAV Use Cases > Glacial Lakes Mapping

12. ➢ 47 potentially dangerous glacial lakes identified in Nepal. ➢ ICIMOD in 2018 with the support of UNDP and Government of Nepal. Four Lakes namely: ➢ Thulagi, Lumding, Lower Barun and Hongu 2 Glacial Lakes ➢ Assisting Study on "Safeguarding lives and livelihoods against Flood & GLOF risks in Nepal” UAV Use Cases > Glacier Mapping Introduction

13. UAV Use Cases > Glacier Mapping Introduction Lumding Tsho

14. UAV Use Cases > Glacier Mapping Introduction

15. UAV Use Cases > Glacier Mapping Introduction

16. UAV Use Cases > Glacier Mapping Planning & Field Activities

17. UAV Use Cases > Glacier Mapping Planning & Field Activities

18. UAV Use Cases > Glacier Mapping Planning & Field Activities

19. UAV Use Cases > Glacier Mapping Planning & Field Activities

20. UAV Use Cases > Glacier Mapping Planning & Field Activities

21. UAV Use Cases > Glacier Mapping Image Processing and Outputs

22. UAV Use Cases > Glacier Mapping Engineering Design, Cost Estimate and Reports

23. UAV Use Cases > Glacier Mapping Second Field Visit to 3 Other Lakes

24. UAV Use Cases > Glacier Mapping Second Field Visit to 3 Other Lakes

25. UAV Use Cases > Glacier Mapping Second Field Visit to 3 Other Lakes

26. UAV Use Cases > Glacier Mapping Second Field Visit to 3 Other Lakes

27. UAV Use Cases > Glacier Mapping Second Field Visit to 3 Other Lakes

28. Thank You!!!

29. UAV Use Cases > Landfill Site Mapping Project Location

30. Helicopter landed in a sloppy terrain about 200m downstream of the Thulagi lake

31. Thulagi lake first test with data gaps at some areas

32. Improved paths and improved overlaps in other lakes

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