SAFERUP Project presentation at TRA2018 EC Stand by Cesare Sangiorgi
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SAFERUP the H2020-MSCA-ITN project funded by the EC was presented at Transportation Research Arena 2018 in Vienna by the Project Coordinator, Cesare Sangiorgi.
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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.
bank management system in java and mysql report1.pdf
truth is high but higher still is truth full living
Recycled Concrete Aggregate in Construction Part III
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
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, SerbiaKuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf
Kinematics 11th jpp- 01. ( Solved ) unacademy namo kaul on 14th may...
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
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%.
Literature Review Basics and Understanding Reference Management.pptx
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
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A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
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bank management system in java and mysql report1.pdf
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Recycled Concrete Aggregate in Construction Part III
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Advanced control scheme of doubly fed induction generator for wind turbine us...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
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Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
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[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf
[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
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Literature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptx
SAFERUP Project presentation at TRA2018 EC Stand by Cesare Sangiorgi
- 1. Sustainable, Accessible, Safe, Resilient and Smart Urban Pavements H2020-MSCA-ITN-2017 Coordinated by the University of Bologna, Italy Cesare Sangiorgi
- 7. Objective “The ultimate objective of SAFERUP! is to train new professionals able to provide future generations with more livable cities by applying solutions developed through cutting-edge research”
- 9. Work Packages: WP1 Management, Recruitment, Communication TrainingResearch WP5 Open Science Dissemination and Public Engagement WP4 Scientific, Technological Activities and Joint Transferable Skills Training WP3 Resilient, Sustainable, Smart pavements WP2 Safe, Accessible, Urban pavements
- 10. Work Package 2: Safe, Accessible Urban pavements ESR1: High Friction & Acoustic Surfacing for Pavements (HI-FASP) ESR2: Safer Hydronic urban Pavements (SAFERHP) ESR3: Vulnerable Users Protection with advanced recycled paving materials (PROTECTVU) ESR4: Effects of road surface characteristics & geometries on Safer Users’ Behaviour (SAFERUB) ESR5: Accessible Urban Surfaces (ACCESSUS) ESR6: Cool pavements for Urban heat island effect Mitigation (COOLUM) ESR7: 100% Recycled Asphalt (RA) for Urban Surfaces (100%RAUS) ESR8: Waste mineral fillers Recycling in new Paving solutions (WASTERP)
- 11. Work Package 3: Resilient, Sustainable, Smart pavements ESR9: Sustainability potentials of Innovative urban paving Materials (SUSTAIM) ESR10: Resilient and sustainable Permeable Pavements For urban Flood Mitigation (REPP4FM) ESR11: Assessing Environmental Suitability of new Permeable Pavements in SuDS (ENVISUPP) ESR12: Enhanced Durability of bituminous layers by studying Binders’ Microstructure (DURABM) ESR13: Nanomodified bitumen for Fast-Repairing Asphalt Concretes (NANOFRAC) ESR14: Energy Harvesting from Road Pavements (NRGHRP) ESR15: Nanotechnologies for self-sensing & self-inspecting Smart Urban Pavements (NANOSUP)
- 13. Research Projects: 15 Mini-Synergies UNIBO UIBK UNLANC UC UNIPG UNIPG UNIKASS CELU RISE UNIBO TUWIEN UCL MBBM DRC SDAB UNIBO CORE CEPSA SAPABA TECNA SAPABA CLARET TEXAS UTSA TEXAS UTA UNSW FHMUN WUHAN RTU FONCE DRC TUWIEN RISE FONCE UNIPG UNOTT CELU UC UNOTT ISU CLARET CORE IFSTTAR COVENT CEPSACOVENT Supervisor-Beneficiary First co-supervisor Second co-supervisor ACADEMIC (UNIVERSITY) ACADEMIC (RESEARCH INST.)NON-ACADEMIC
- 15. Training: SAFERUP! training will be given both as Training- through-Research activities in the ESR Original Research Projects supervision (WP2 & 3), and other transversal training activities (WP4). All forms of training aim to maximize the Impact and Career Prospects of the ESR at the end of their SAFERUP! experience. Local PhD Coursesand OtherCourses Transferable Skills Scientific & Technological Training ESR Original Research Project Webinars (AC, non-AC) Internal & Visting lect.(AC, non-AC) Internal & Visiting lect.(AC, non-AC) Local lecturers (AC, non-AC) Secondments/Supervisions WP 2,3 WP 4 WP 4 WP 4