This presentation provides tips for making effective presentations using awesome backgrounds to engage audiences and capture their attention. It discusses using backgrounds and features of Product A and Product B to enhance presentations.
Eddy current brakes work by generating eddy currents in a conductive material using a changing magnetic field from electromagnets. These eddy currents then generate their own magnetic field that opposes the original field due to Lenz's law, creating drag and slowing the object. There are circular and linear eddy current brake configurations. Advantages include being contactless with no wear, adjustable braking force, and effectiveness even at high speeds. Applications include train braking and roller coasters. Future developments could replace ordinary brakes and control high speed trains solely with eddy current brakes.
This document outlines a presentation on microgrids. It begins with an introduction that defines a microgrid as a small-scale power supply network designed to provide power for a small community using local power generation. It then covers microgrid operating modes when connected or disconnected from the main grid, the need for microgrids, advantages like efficiency and reliability, challenges around protection and interconnection, and future research directions like control methods under various operating modes. In total, the presentation contains 22 slides covering these topics on microgrids.
1. The document discusses implementing a solar+storage+EV charging microgrid that is self-funded through programs with utilities and grid operators.
2. Key components include solar panels, battery energy storage, and EV charging infrastructure. The microgrid aims to reduce costs and greenhouse gas emissions while providing reliable power.
3. Financial analysis of historical energy usage and tariffs is needed to determine if the microgrid can pay for itself through energy savings and revenues from grid services.
This document provides an introduction and overview of artificial intelligence (AI). It discusses the history of AI, including early computer programs from the 1960s. It also outlines some key applications of AI like expert systems, natural language processing, speech recognition, computer vision, and robotics. The document notes advantages of using AI in medicine for diagnosis and object recognition. It also mentions potential disadvantages like self-modifying AI leading to unexpected results. The future of AI is described as robots that can perform daily tasks on command. A specific humanoid robot named Sophia is also discussed.
This document summarizes a seminar presentation on night vision technology. It begins with an introduction explaining that night vision technology allows humans to see in the dark. It then discusses the two types of night vision - biological and technical. For technical night vision, it explains the working of image intensifiers and thermal imaging, how they amplify and process light and infrared radiation. It also covers the different generations of night vision devices and their capabilities. Applications mentioned include military, hunting, security and wildlife observation. The document concludes that night vision technology has advanced significantly and plays an important role in defense and security.
This document discusses various types of tamper resistant packaging for pharmaceutical products. It describes film wrappers like end folded, fin seal, and shrink wrappers. It also covers blister packages, strip packaging, bubble packs, bottle seals, tape seals, shrink packaging, and foil/plastic pouches. The goal of these packaging techniques is to provide visible evidence if tampering has occurred to protect product integrity.
This document discusses iris recognition as a biometric authentication method. It begins by explaining the need for biometrics due to technology advances and globalization. It then describes the anatomy of the human eye and characteristics of the iris that make it suitable for identification, such as its complex texture and stability over time. The document outlines how iris recognition works by locating the iris and recording its unique patterns. It discusses the benefits of iris recognition for security and applications like border control, ATMs, and forensics. In conclusion, iris recognition is presented as an accurate biometric technique that will likely see increased future usage.
This seminar presentation provides an overview of face recognition technology. It discusses how face recognition works by measuring nodal points on the face and creating a numerical face print. The key advantages are that face recognition is convenient, easy to use, and inexpensive compared to other biometrics. However, it cannot distinguish identical twins. The presentation outlines common applications in government (e.g. law enforcement, security), commercial (e.g. banking, access control), and concludes that costs are decreasing which will lead to more widespread deployment of face recognition technologies.
Eddy current brakes work by generating eddy currents in a conductive material using a changing magnetic field from electromagnets. These eddy currents then generate their own magnetic field that opposes the original field due to Lenz's law, creating drag and slowing the object. There are circular and linear eddy current brake configurations. Advantages include being contactless with no wear, adjustable braking force, and effectiveness even at high speeds. Applications include train braking and roller coasters. Future developments could replace ordinary brakes and control high speed trains solely with eddy current brakes.
This document outlines a presentation on microgrids. It begins with an introduction that defines a microgrid as a small-scale power supply network designed to provide power for a small community using local power generation. It then covers microgrid operating modes when connected or disconnected from the main grid, the need for microgrids, advantages like efficiency and reliability, challenges around protection and interconnection, and future research directions like control methods under various operating modes. In total, the presentation contains 22 slides covering these topics on microgrids.
1. The document discusses implementing a solar+storage+EV charging microgrid that is self-funded through programs with utilities and grid operators.
2. Key components include solar panels, battery energy storage, and EV charging infrastructure. The microgrid aims to reduce costs and greenhouse gas emissions while providing reliable power.
3. Financial analysis of historical energy usage and tariffs is needed to determine if the microgrid can pay for itself through energy savings and revenues from grid services.
This document provides an introduction and overview of artificial intelligence (AI). It discusses the history of AI, including early computer programs from the 1960s. It also outlines some key applications of AI like expert systems, natural language processing, speech recognition, computer vision, and robotics. The document notes advantages of using AI in medicine for diagnosis and object recognition. It also mentions potential disadvantages like self-modifying AI leading to unexpected results. The future of AI is described as robots that can perform daily tasks on command. A specific humanoid robot named Sophia is also discussed.
This document summarizes a seminar presentation on night vision technology. It begins with an introduction explaining that night vision technology allows humans to see in the dark. It then discusses the two types of night vision - biological and technical. For technical night vision, it explains the working of image intensifiers and thermal imaging, how they amplify and process light and infrared radiation. It also covers the different generations of night vision devices and their capabilities. Applications mentioned include military, hunting, security and wildlife observation. The document concludes that night vision technology has advanced significantly and plays an important role in defense and security.
This document discusses various types of tamper resistant packaging for pharmaceutical products. It describes film wrappers like end folded, fin seal, and shrink wrappers. It also covers blister packages, strip packaging, bubble packs, bottle seals, tape seals, shrink packaging, and foil/plastic pouches. The goal of these packaging techniques is to provide visible evidence if tampering has occurred to protect product integrity.
This document discusses iris recognition as a biometric authentication method. It begins by explaining the need for biometrics due to technology advances and globalization. It then describes the anatomy of the human eye and characteristics of the iris that make it suitable for identification, such as its complex texture and stability over time. The document outlines how iris recognition works by locating the iris and recording its unique patterns. It discusses the benefits of iris recognition for security and applications like border control, ATMs, and forensics. In conclusion, iris recognition is presented as an accurate biometric technique that will likely see increased future usage.
This seminar presentation provides an overview of face recognition technology. It discusses how face recognition works by measuring nodal points on the face and creating a numerical face print. The key advantages are that face recognition is convenient, easy to use, and inexpensive compared to other biometrics. However, it cannot distinguish identical twins. The presentation outlines common applications in government (e.g. law enforcement, security), commercial (e.g. banking, access control), and concludes that costs are decreasing which will lead to more widespread deployment of face recognition technologies.
This document provides an overview of the history and current state of mobile application development. It discusses the evolution of mobile operating systems from early Palm OS and Symbian to current leaders like Android and iOS. It also covers development frameworks including native, non-native like PhoneGap and Titanium, and the future of wearable technology.
This document discusses various types of tamper resistant packaging for pharmaceutical products. It describes film wrappers like end folded, fin seal, and shrink wrappers. It also covers blister packages, strip packages, bubble packs, bottle seals, tape seals, shrink packaging, and foil/plastic pouches. The goal of these packaging types is to provide evidence if the packaging has been tampered with to protect product integrity.
The solar tree is a structure that produces solar energy using multiple solar panels arranged like the leaves of a tree on a tall tower. It requires less land than traditional solar panel systems to generate the same amount of electricity. The solar tree uses a technique called "spiralling phyllotaxy" to help lower panels avoid the shadow of upper panels and maximize sunlight collection. Its advantages include low land usage, efficient energy generation, and ability to collect energy from wind as well. It has applications for street lighting, household power supply, and industrial use.
This document provides an introduction to artificial intelligence, including its history, applications, advantages, and limitations. It discusses how AI can help machines solve complex problems in a human-like way. Key applications of AI mentioned are expert systems, natural language processing, speech recognition, computer vision, and robotics. The future of AI is promising, with the potential for intelligent robots to assist humans by performing tasks. However, challenges also exist, such as how to prevent dangerous self-modifying systems.
This document provides an overview of honeypots, including what they are, how they are classified, examples like Honeyd and Honeynet, advantages and disadvantages. Honeypots are computer resources used to gather threat intelligence by allowing unauthorized access. They can be classified by interaction level, implementation method, and purpose. Examples discussed are Honeyd, an open source low interaction virtual honeypot, and Honeynet, a high interaction architecture using multiple honeypots on a private network. Honeypots provide benefits like collecting small high value data sets and reduced false positives, but have limitations such as a limited view of attacks.
This document provides an overview of honeypots and their uses. It defines a honeypot as a decoy information system used to gather intelligence on attackers. Honeypots are classified by level of interaction (high or low), implementation (physical or virtual), and purpose (production or research). Popular honeypot tools include Honeyd, which can simulate entire networks, and Honeynet, which uses multiple high-interaction honeypots. The advantages of honeypots are that they can collect high value data with few false positives at low cost. Their disadvantages include limited visibility and risks if compromised. Overall, honeypots are a flexible security tool primarily used for detection and information gathering.
This document discusses honeypots, which are decoy computer systems used to gather intelligence about cyber attacks. It defines honeypots and classifies them based on interaction level, implementation, and purpose. Specific honeypot tools are also outlined, including Honeyd and Honeynet. Honeyd simulates entire networks on a single host using simple functionality. Honeynet involves deploying multiple high-interaction honeypots on a private network. Advantages of honeypots include collecting high value data at low cost while limiting false alarms. Risks and fingerprinting are challenges. Overall, honeypots provide a flexible security tool for monitoring attacks.
This document provides an introduction to honeypots, which are computing resources used to gather security information. It discusses different types of honeypots classified by interaction level (high or low), implementation (physical or virtual), and purpose (production or research). Specific honeypot tools are also outlined, including Honeyd, a low interaction virtual honeypot, and Honeynet, a high interaction network of honeypots. The advantages of honeypots include collecting high value data sets while reducing false positives. Disadvantages include limited visibility and potential risks. In conclusion, honeypots are effective for observing attackers and preparing defenses against future attacks.
This document discusses the use of honeypots to detect exploited systems across large enterprise networks. Honeypots are decoy computer systems intended to be compromised by attackers to capture malware and analyze attacker tactics. The Georgia Tech honeynet system detected 16 compromises including worm exploits and a hacker that helped locate a compromised host running an IIS exploit and warez server. Honeynets provide an additional layer of security beyond firewalls and IDSes by allowing forensic analysis of attacks but require significant resources to analyze captured data.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
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%.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
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.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
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.
This document provides an overview of the history and current state of mobile application development. It discusses the evolution of mobile operating systems from early Palm OS and Symbian to current leaders like Android and iOS. It also covers development frameworks including native, non-native like PhoneGap and Titanium, and the future of wearable technology.
This document discusses various types of tamper resistant packaging for pharmaceutical products. It describes film wrappers like end folded, fin seal, and shrink wrappers. It also covers blister packages, strip packages, bubble packs, bottle seals, tape seals, shrink packaging, and foil/plastic pouches. The goal of these packaging types is to provide evidence if the packaging has been tampered with to protect product integrity.
The solar tree is a structure that produces solar energy using multiple solar panels arranged like the leaves of a tree on a tall tower. It requires less land than traditional solar panel systems to generate the same amount of electricity. The solar tree uses a technique called "spiralling phyllotaxy" to help lower panels avoid the shadow of upper panels and maximize sunlight collection. Its advantages include low land usage, efficient energy generation, and ability to collect energy from wind as well. It has applications for street lighting, household power supply, and industrial use.
This document provides an introduction to artificial intelligence, including its history, applications, advantages, and limitations. It discusses how AI can help machines solve complex problems in a human-like way. Key applications of AI mentioned are expert systems, natural language processing, speech recognition, computer vision, and robotics. The future of AI is promising, with the potential for intelligent robots to assist humans by performing tasks. However, challenges also exist, such as how to prevent dangerous self-modifying systems.
This document provides an overview of honeypots, including what they are, how they are classified, examples like Honeyd and Honeynet, advantages and disadvantages. Honeypots are computer resources used to gather threat intelligence by allowing unauthorized access. They can be classified by interaction level, implementation method, and purpose. Examples discussed are Honeyd, an open source low interaction virtual honeypot, and Honeynet, a high interaction architecture using multiple honeypots on a private network. Honeypots provide benefits like collecting small high value data sets and reduced false positives, but have limitations such as a limited view of attacks.
This document provides an overview of honeypots and their uses. It defines a honeypot as a decoy information system used to gather intelligence on attackers. Honeypots are classified by level of interaction (high or low), implementation (physical or virtual), and purpose (production or research). Popular honeypot tools include Honeyd, which can simulate entire networks, and Honeynet, which uses multiple high-interaction honeypots. The advantages of honeypots are that they can collect high value data with few false positives at low cost. Their disadvantages include limited visibility and risks if compromised. Overall, honeypots are a flexible security tool primarily used for detection and information gathering.
This document discusses honeypots, which are decoy computer systems used to gather intelligence about cyber attacks. It defines honeypots and classifies them based on interaction level, implementation, and purpose. Specific honeypot tools are also outlined, including Honeyd and Honeynet. Honeyd simulates entire networks on a single host using simple functionality. Honeynet involves deploying multiple high-interaction honeypots on a private network. Advantages of honeypots include collecting high value data at low cost while limiting false alarms. Risks and fingerprinting are challenges. Overall, honeypots provide a flexible security tool for monitoring attacks.
This document provides an introduction to honeypots, which are computing resources used to gather security information. It discusses different types of honeypots classified by interaction level (high or low), implementation (physical or virtual), and purpose (production or research). Specific honeypot tools are also outlined, including Honeyd, a low interaction virtual honeypot, and Honeynet, a high interaction network of honeypots. The advantages of honeypots include collecting high value data sets while reducing false positives. Disadvantages include limited visibility and potential risks. In conclusion, honeypots are effective for observing attackers and preparing defenses against future attacks.
This document discusses the use of honeypots to detect exploited systems across large enterprise networks. Honeypots are decoy computer systems intended to be compromised by attackers to capture malware and analyze attacker tactics. The Georgia Tech honeynet system detected 16 compromises including worm exploits and a hacker that helped locate a compromised host running an IIS exploit and warez server. Honeynets provide an additional layer of security beyond firewalls and IDSes by allowing forensic analysis of attacks but require significant resources to analyze captured data.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
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%.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
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.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
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.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
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
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
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.