To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
A SECURITY PERIOD UPDATE METHOD USING EVALUATION FUNCTION FOR IMPROVING ENERG...csandit
In recent years, Wireless Sensor Networks(WSNs) research has been carried out with the goals
of achieving high security and energy efficiency. In a WSN, sensor nodes are vulnerable to
physical attacks because they are deployed in an open environment. An attacker can inject a
false report into networks using these vulnerabilities. F. Ye et al. proposed statistical en-route
filtering to prevent false report injection attacks. In order to effectively use their scheme,
techniques for determining thresholds using fuzzy logic have been studied. To effectively apply
these techniques to the network, an appropriate update period should be set according to the
network environments. In this paper, we propose a security period update method in order to
improve the lifetime of the network in the statistical en-route filtering approach based on a
wireless sensor network of the cluster environment. The experimental results show that up to an
11.96% improvement of the energy efficiency can be achieved when the security threshold is set
to the optimal period.
This document describes the design and implementation of a novel wide-area monitoring, protection, and control (WAMPAC) system for power networks with remote monitoring and control. The system aims to provide an effective and low-cost alternative to existing WAMPAC systems. Key features include protection schemes for distance, overcurrent, switched onto earth fault, undervoltage, overvoltage, and differential protection. The system allows for real-time monitoring and smart control of the power system from any location through an "anywhere, anytime access protocol" to help reduce outages and improve reliability. Testing of a prototype module was conducted at a 400/230/110 kV substation in Chennai, India.
Automated control of large electrical power distribution networks through a single controller can provide improved efficiency, reliability, and reduced maintenance costs compared to traditional local control approaches. A global view of the entire network allows the controller to more reliably diagnose faults like soft faults that are difficult to detect locally. This paper describes a model-based approach using models of structure and behavior to diagnose faults across the network. An intelligent power controller implemented with this approach was tested successfully on a DC power distribution system testbed, demonstrating its ability to reliably diagnose faults, identify sensor failures, and take corrective action automatically.
This document describes a study on using artificial neural networks for intelligent real-time power quality monitoring. It provides an overview of the need for real-time monitoring, introduces artificial neural networks and discusses power quality issues. It then describes the proposed neural network model for predicting power demand values and classifying harmonics and abnormal waveforms with over 99% accuracy. The conclusions state that neural networks can make monitoring systems more intelligent and robust by handling noisy data during worst conditions.
This document discusses multisensor data fusion for defense applications. It describes data fusion as integrating data from multiple sensors to provide a more complete picture than from individual sensors alone. Some key defense applications discussed include surveillance, intelligence analysis, and missile guidance systems. The document also provides an example of using a Kalman filter for multisensor data fusion to estimate the state of a moving target tracked by multiple sensors.
IEEE 2014 DOTNET PARALLEL DISTRIBUTED PROJECTS A system-for-denial-of-service...IEEEMEMTECHSTUDENTPROJECTS
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A Survey of Fault Tolerance Methods in Wireless Sensor NetworksIRJET Journal
This document summarizes and analyzes various fault tolerance mechanisms for wireless sensor networks. It discusses mobile agent mechanisms, relay node mechanisms, and handover mechanisms. The document analyzes several existing fault tolerance methods, including Bayesian network models, probabilistic combinatorial optimization, dynamic power level adjustment, and integrated fault tolerance frameworks. Overall, the document provides an overview of important fault tolerance issues in wireless sensor networks and different approaches that have been proposed to address faults and improve reliability.
This document discusses the use of artificial intelligence techniques in power systems. It first provides background on power systems and defines artificial intelligence. It then discusses the need for AI in power systems due to complex data and computations. The main AI techniques discussed are expert systems, artificial neural networks, and fuzzy logic. Expert systems encode human expertise to solve problems while artificial neural networks and fuzzy logic can handle uncertain or incomplete data. The document outlines various applications of AI in power system operations, planning, control, automation, and forecasting and concludes that AI can increase power system efficiency and reliability.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Research on Power Quality Real-Time Monitoring System For High Voltage Switch...IJRESJOURNAL
ABSTRACT: As an important equipment of high voltage switch cabinet distribution plays a key role in the power system of power generation, transmission and distribution of electricity, and monitoring the operation of electrical parameters, based on virtual instrument technology, make full use of the data processing, data analysis, data expression and network function and other advantages, build a set based on the LabVIEW real-time power quality monitoring system innovatively applied in high-voltage switch cabinet. Through building a power quality monitoring platform based on high voltage switchgear in the laboratory, the accuracy of the system measurement is verified. The experimental results show that the design of power quality real-time monitoring system has good performance, high accuracy, friendly interface, and has a good market prospect.
Precision engineering is a subdiscipline of electrical engineering, software engineering, electronics engineering, mechanical engineering, and optical engineering concerned with designing machines, fixtures, and other structures that have exceptionally low tolerances, are repeatable, and are stable over time.
Artificial intelligence in power systemBittu Goswami
This document discusses the use of artificial intelligence techniques like expert systems, artificial neural networks, and fuzzy logic in power systems. It provides an overview of each technique, their advantages and disadvantages, and examples of how they can be applied. Specifically, it describes how expert systems can be used for transmission line parameter estimation, and how neural networks and fuzzy logic can be applied to fault detection and diagnosis to improve system reliability and efficiency. The document concludes that while AI is increasingly being used in power systems, further research is still needed to fully realize its benefits.
Title of paper: Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System
Presented at - 9th Workshop on Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future
This document discusses wireless sensor network applications and energy consumption. It provides examples of WSN applications including disaster relief, environment monitoring, healthcare, and more. It then discusses various factors that influence energy consumption in sensor nodes, including operation states, microcontroller usage, radio transceivers, memory, and the relationship between computation and communication. Specific power consumption numbers are given for different components like radios, sensors, and microprocessors. The goals of optimization for WSNs are discussed as quality of service, energy efficiency, scalability, and robustness.
Real-Time Simulation for MBSE of Synchrophasor SystemsLuigi Vanfretti
This document discusses the development of a laboratory for testing and validating phasor measurement unit (PMU) applications using real-time hardware-in-the-loop (HIL) simulation. It describes the initial implementation of the lab in 2011 and outlines contributions to the model-based systems engineering foundations for cyber-physical power systems, including modeling for real-time simulation, experimental work developing and testing PMU applications using HIL, and several PMU-based monitoring applications that were implemented and tested.
Artificial neural network for misuse detectionSajan Sahu
Manoj Kumar Gantayat presented on using artificial neural networks for intrusion detection. He discussed how neural networks can be applied to misuse detection in intrusion detection systems. Specifically, he covered three neural network models (Perceptron, Backpropagation, hybrid), components of intrusion detection systems, advantages of neural networks in analyzing incomplete or distorted data, and challenges like needing accurate training data. He concluded the early results of neural network intrusion detection systems show promise for refinement and full-scale demonstration systems.
Research and planning organisation & target audience nctcmedia12
The document discusses targeting a sixth form magazine at students of the Nicholas Chamberlaine School Sixth Form. It will include images of the school and students to relate to the audience, as well as content on academic topics like personal statements and revision tips. It will also include social content on societies and events to engage students beyond just academics. The magazine will feature sixth form student actors and images of study areas like the sixth form centre and LRC to appeal to the target audience. Props will include pens, books, a chess set, and computers.
Trabajo final curso herramientas,recursos y estrategias para profesoresMaría Nelia Colucci
El documento describe las herramientas tecnológicas disponibles para los profesores como Google Drive y los buscadores, y enfatiza la importancia de utilizar estas herramientas para hacer que las clases sean más interesantes y atractivas para los estudiantes. También destaca cómo las presentaciones multimedia y los trabajos colaborativos realizados con la ayuda de la tecnología pueden mejorar la autoestima de los estudiantes y ayudarlos a apropiarse del conocimiento de una manera más significativa.
Este documento presenta el informe de autoevaluación de la herramienta IEMAC, que muestra cómo la región de Ezkerraldea-Enkarterri gestiona la atención a pacientes crónicos. También incluye los resultados comparativos con la evaluación realizada en 2012. Se proporcionan enlaces a dos documentos: el informe IEMAC de septiembre de 2014 y la comparación de las evaluaciones de 2012 a 2014.
On October 15th, two of Pittsburgh’s leading experts on Big Data will show you how you can effectively use it to achieve big results. During this valuable event, you’ll learn:
•What Big Data means
•How to successfully leverage and deploy Big Data to learn more about your customers and produce new offerings
•Examples of how other companies are using Big Data to create customer value
•Local resources that people can use to learn more and get started
•Practical Big Data example: generating insights from structured data sources
Seats are limited, register now: http://www.pdma.org/p/cm/ld/fid=1449
Storm Thorgerson was a graphic designer best known for his album artwork for Pink Floyd. He went to school with Pink Floyd founders Roger Waters and Syd Barrett and was friends with guitarist David Gilmour. Some of Thorgerson's most famous works included the iconic prism design for Pink Floyd's Dark Side of the Moon album. He devised a six-step process for creating album artwork that involved collaborating with the band, developing rough concepts, testing prototypes, photographing shoots, editing images, and finalizing the artwork. Thorgerson founded design studios Hipnosis and StormStudios and worked on album covers for many legendary rock bands until his death in 2013 at age 69.
Se prepararon para una jornada saludable haciendo los preparativos necesarios, terminaron todo lo que tenían que hacer y finalmente disfrutaron de una comida saludable.
The one week lesson plan involves students learning about the bones and muscles in the human body. Over the course of five days, students will create a KWL chart about bones and muscles, learn vocabulary words, watch videos about how bones and muscles work together, learn specifically about bones, and complete a muscles and bones exploration before taking a vocabulary quiz.
Customer behaviour for Food & Beverages Assessmentbizpresenter
The document discusses designing an algorithm to analyze consumer behavior data to suggest suitable food and beverage options to customers. It provides an example of collecting data on a customer's visits, purchases, and preferences at a casino to determine that a spicy vegetarian sandwich and beer would be a good recommendation. Advice is sought on the appropriate model to use to analyze the lifestyle and preference data to make personalized suggestions.
EOG Resources 4Q 2015 Quarterly Presentation Investor RelationsMichelle Smith
EOG Resources provides key information about its operations and financial results. It has over 3,200 premium well locations with over 2 billion barrels of oil equivalent of resource potential. EOG reduced capital spending 44% year-over-year while maintaining flat US oil production in 2015. It aims to generate at least 30% returns on investment at $40/barrel oil from its shifting focus to premium locations with over 10 years of sustainable inventory growth.
«Якби Рей Бредбері був юристом: сьогодні і завтра юридичної думки в українськ...Juscutum
This document discusses various topics around law, technology, and society including:
- Ray Bradbury potentially being a lawyer and the boredom of law compared to other professions.
- Predictions of future technologies like cell phones by Bradbury, Huxley, Clarke and others.
- Copyright and patents over time from the 1400s to present around information technology and 3D printing.
- Criticism that humanity focuses too much on consumption like beer and TV instead of scientific and space exploration progress.
Locating Assets in your Warehouse - A solution for Logistics created by Onyx ...Onyx Beacon
This document describes an asset tracking solution using beacons. Fixed beacons are placed throughout a warehouse to map areas, while mobile beacons are attached to assets. When a mobile device's app detects beacons, it can determine the asset's location. All beacon data is sent to a cloud-based management system in real time. Users can then track assets by having their beacons emit sounds using the mobile app. This beacon-based solution aims to help warehouses precisely locate assets.
La promoción de graduandos 2018 invita a su gran cena bailable el 13 de diciembre de 9:00 p.m. a 2:00 a.m. en el Hotel Sortis, con presentación especial de Japanesse y sus grandes éxitos, vestimenta formal requerida e invitación válida para 2 personas.
Naveen Narayan is pursuing a Master of Science in Automotive Engineering at Coventry University in the UK. He has a Bachelor of Engineering in Mechanical Engineering from Visvesvaraya Technological University in India. His work experience includes an internship at Stumpp, Schuele & Somappa in Bangalore, India where he gained experience in automotive springs manufacturing. His dissertation project involved designing and building a compressed-air driven bicycle, which won first place. He is proficient in CAD and FEA software as well as programming languages.
This document discusses detecting false data injection attacks using k-means clustering. It begins with an abstract that describes implementing detection of inside attacks in a sub-network using cameras. When an outside person pauses the camera for a specific amount of time, the server can detect this as an inside attack and notify the administrator. The document then reviews related work on cyber attacks against power grids and state estimation. It proposes a system using cameras to monitor for inside attackers pausing cameras. When this occurs, the server will detect an inside attack and inform the administrator. The key algorithm discussed is k-means clustering to classify sensor data and detect attacks.
An intrusion detection algorithm for amiIJCI JOURNAL
Nowadays, using the smart metering devices for energy users to manage a wide variety of subscribers,
reading devices for measuring, billing, disconnection and connection of subscribers’ connection
management is an important issue. The performance of these intelligent systems is based on information
transfer in the context of information technology, so reported data from network should be managed to
avoid the malicious activities that including the issues that could affect the quality of service the system. In
this paper for control of the reported data and to ensure the veracity of the obtained information, using
intrusion detection system is proposed based on the support vector machine and principle component
analysis (PCA) to recognize and identify the intrusions and attacks in the smart grid. Here, the operation of
intrusion detection systems for different kernel of SVM when using support vector machine (SVM) and PCA
simultaneously is studied. To evaluate the algorithm, based on data KDD99, numerical simulation is done
on five different kernels for an intrusion detection system using support vector machine with PCA
simultaneously. Also comparison analysis is investigated for presented intrusion detection algorithm in
terms of time - response, rate of increase network efficiency and increase system error and differences in
the use or lack of use PCA. The results indicate that correct detection rate and the rate of attack error
detection have best value when PCA is used, and when the core of algorithm is radial type, in SVM
algorithm reduces the time for data analysis and enhances performance of intrusion detection.
Safeguard the Automatic Generation Control using Game Theory TechniqueIRJET Journal
This document discusses using game theory techniques to safeguard the automatic generation control (AGC) in smart grids from false data injection attacks. It first provides background on AGC and how false data can affect its performance and potentially cause blackouts. It then discusses using a game theory model to represent the interactions between attackers injecting false data and defenders protecting the system. The risks of different attack events are calculated and fed into the game model. Dynamic programming is used to determine optimal defense strategies based on resource constraints. Simulation results show the approach can minimize risks to the AGC under different attack scenarios.
IRJET- False Data Injection Attacks in Insider AttackIRJET Journal
This document discusses false data injection attacks and insider threats in computer networks. It proposes a system that uses cameras to detect when an unauthorized external person enters a restricted area of a network for an extended period of time. When this suspicious activity is detected, the system will notify administrators about a potential insider attack. The system aims to increase network security by monitoring for insider threats and detecting unauthorized access. It analyzes existing research on false data injection attacks and vulnerabilities in state estimation systems. The proposed architecture and algorithms, such as Bloom filters and AES encryption, are designed to securely detect and report insider threats in computer networks.
A robust algorithm based on a failure sensitive matrix for fault diagnosis of...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
International Journal of Engineering (IJE) Volume (3) Issue (1)CSCJournals
This document discusses the implementation of artificial intelligence techniques for steady state security assessment in deregulated power system markets. It proposes using neural networks, decision trees, and adaptive neuro-fuzzy inference systems to analyze power transactions between generators and customers in deregulated systems. Data from load flow analysis is used to train and test the AI models. The techniques are tested on various standard power system test cases. The results show that neural networks provide more accurate and faster assessments compared to decision trees and neuro-fuzzy systems, but the latter two may be easier to implement for practical applications. The new methods could help improve security in planning and operating deregulated power system markets.
Cyber-Defensive Architecture for Networked Industrial Control SystemsIJEACS
This paper deals with the inevitable consequence of the convenience and efficiency we benefit from the open, networked control system operation of safety-critical applications: vulnerability to such system from cyber-attacks. Even with numerous metrics and methods for intrusion detection and mitigation strategy, a complete detection and deterrence of internal code flaws and outside cyber-attacks has not been found and would not be found anytime soon. Considering the ever incompleteness of detection and prevention and the impact and consequence of mal-functions of the safety-critical operations caused by cyber incidents, this paper proposes a new computer control system architecture which assures resiliency even under compromised situations. The proposed architecture is centered on diversification of hardware systems and unidirectional communication from the proposed system in alerting suspicious activities to upper layers. This paper details the architectural structure of the proposed cyber defensive computer control system architecture for power substation applications and its validation in lab experimentation and on a cybersecurity testbed.
Fault diagnosis of a high voltage transmission line using waveform matching a...ijsc
This paper is based on the problem of accurate fault diagnosis by incorporating a waveform matching technique. Fault isolation and detection of a double circuit high voltage power transmission line is of immense importance from point of view of Energy Management services. Power System Fault types namely single line to ground faults, line to line faults, double line to ground faults etc. are responsible for transients in current and voltage waveforms in Power Systems. Waveform matching deals with the approximate superimposition of such waveforms in discretized versions obtained from recording devices and Software respectively. The analogy derived from these waveforms is obtained as an error function of voltage and current, from the considered metering devices. This assists in modelling the fault identification as an optimization problem of minimizing the error between these sets of waveforms. In other words, it utilizes the benefit of software discrepancies between these two waveforms. Analysis has been done using the Bare Bones Particle Swarm Optimizer on an IEEE 2 bus, 6 bus and 14 bus system. The performance of the algorithm has been compared with an analogous meta-heuristic algorithm called BAT optimization on a 2 bus level. The primary focus of this paper is to demonstrate the efficiency of such methods and state the common peculiarities in measurements, and the possible remedies for such distortions.
FUZZY LOGIC APPROACH FOR FAULT DIAGNOSIS OF THREE PHASE TRANSMISSION LINEJournal For Research
This document summarizes a journal article that proposes using fuzzy logic to diagnose faults on three-phase transmission lines. It begins with an abstract of the journal article, which describes using fuzzy logic as an intelligent technique to quickly and accurately identify the type of fault that occurs on a transmission system. It then provides background on transmission line faults, fault types, and challenges with transmission line protection. The document outlines the proposed fuzzy logic approach, including defining fault types as fuzzy sets and developing if-then rules to relate transmission line voltages and currents to faults. Simulation results are presented showing the fuzzy logic approach can identify different fault types based on the current responses. The conclusion is that the proposed fuzzy logic method allows for fast and reliable fault detection on transmission
This document describes a proposed system for detecting cyber attacks using Bayesian inference. It begins with an introduction to the problem of credit/debit card theft and existing physical unclonable functions. It then discusses the disadvantages of existing cyber attack detection systems, such as performance issues and high false positive rates. The proposed system builds a directed acyclic graph to represent the probability distribution of variables related to cyber attacks. It will use modules for data collection, preprocessing, model training/testing, and attack detection. The system will be implemented in Python using frameworks like Django and evaluated using algorithms like random forest, artificial neural networks, and support vector machines.
IRJET-Electrical Power Robbery Detection and Transformer Fault Detection IRJET Journal
This document describes an electrical power theft detection and transformer fault detection system. The system uses remote data transmission via GSM to identify unauthorized tapping on power distribution lines and monitor the condition of distribution transformers. Sensors measure transformer parameters like currents, voltages, temperatures and oil conditions. A microcontroller analyzes the data and sends alerts via SMS if power theft or transformer faults are detected. This provides a low-cost way to remotely monitor transformers and detect power theft locations without human intervention.
Fault Diagnosis of a High Voltage Transmission Line Using Waveform Matching A...ijsc
This paper is based on the problem of accurate fault diagnosis by incorporating a waveform matching technique. Fault isolation and detection of a double circuit high voltage power transmission line is of immense importance from point of view of Energy Management services. Power System Fault types namely single line to ground faults, line to line faults, double line to ground faults etc. are responsible for transients in current and voltage waveforms in Power Systems. Waveform matching deals with the approximate superimposition of such waveforms in discretized versions obtained from recording devices and Software respectively. The analogy derived from these waveforms is obtained as an error function of voltage and current, from the considered metering devices. This assists in modelling the fault identification as an optimization problem of minimizing the error between these sets of waveforms. In other words, it utilizes the benefit of software discrepancies between these two waveforms. Analysis has been done using the Bare Bones Particle Swarm Optimizer on an IEEE 2 bus, 6 bus and 14 bus system. The performance of the algorithm has been compared with an analogous meta-heuristic algorithm called BAT optimization on a 2 bus level. The primary focus of this paper is to demonstrate the efficiency of such methods and state the common peculiarities in measurements, and the possible remedies for such distortions.
This document proposes a novel standalone implementation of a multi-deep neural network (MDNN) controller for DC-DC converters that is resilient to sensor attacks. The MDNN controller combines a deep neural network (DNN) controller and an error detection network (EDN) to detect and mitigate false data injection attacks at the sensor level. The MDNN controller is tested in MATLAB simulations under various disturbances and attack scenarios, demonstrating its effectiveness in maintaining closed-loop control of the DC-DC converter while detecting and mitigating sensor attacks. This approach eliminates the need for traditional proportional-integral controllers and provides a model-free methodology to securely and robustly control the converter against sensor attacks and system variations.
An Analytical Model of Latency and Data Aggregation Tradeoff in Cluster Based...ijsrd.com
This document presents an analytical model to analyze the tradeoff between data aggregation and latency in cluster-based wireless sensor networks. The model develops equations to calculate the energy savings from data aggregation due to reduced transmissions and the latency incurred due to aggregating data at cluster heads. It then defines a cost function as a weighted sum of these two factors. The goal is to use this cost function to determine optimal design thresholds for wireless sensor network deployments based on their lifetime and latency requirements. The model is evaluated through MATLAB simulations to validate its effectiveness in analyzing the aggregation-latency tradeoff.
Similar to 2014 IEEE JAVA PARALLEL DISTRIBUTED PROJECT On false-data-injection-attacks-against-power (20)
The document lists 72 cloud computing projects and 47 mobile computing projects available from GlobalSoft Technologies in 2014. Each project is given a project code and title. The projects cover topics related to cloud computing, mobile computing, wireless networks, Internet of Things, and more. The document provides contact information for GlobalSoft Technologies and lists the domain and programming language for each project.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This document discusses enabling efficient data queries in Mobile Ad-hoc SOcial Networks (MASONs). MASONs allow users with shared interests to connect via Bluetooth or WiFi to query localized data from each other's devices. The challenges of opportunistic connectivity, distributed storage, and unknown expertise are addressed. A centralized optimization model is proposed to minimize communication costs while supporting query rates within delay budgets. A distributed query protocol uses "reachable expertise" routing and controlled redundancy to improve query delivery rates. The protocol's feasibility and efficiency are evaluated through a testbed and simulations.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This document describes a proposed system for outsourced attribute-based signatures (OABS). Existing ABS schemes require heavy computation during signing that grows with the complexity of the predicate formula. The proposed OABS system reduces this computational overhead by outsourcing intensive computations to an untrusted signing cloud service provider. It presents two OABS schemes - the first reduces exponentiations from O(d) to O(1), the second builds on an existing construction and reduces exponentiations from O(d2) to O(d). Security analysis shows the schemes provide unforgeability and privacy. The system allows for high efficiency and flexibility while also achieving accountability.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This document describes a peer-assisted video on demand (VoD) system where users contribute their upload bandwidth to redistribute videos they are downloading or have cached locally. It proposes a fluid model to estimate the server bandwidth required to immediately satisfy all video requests, accounting for peer churn, heterogeneous upload bandwidth, and non-stationary traffic. The model can evaluate sequential delivery as well as controlled nonsequential swarms. It provides insights for efficiently designing peer-assisted VoD systems under server capacity constraints.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This document describes an ontology-based hybrid approach to activity modeling for smart homes. It discusses the limitations of existing data-driven approaches and proposes a hybrid knowledge-driven and data-driven approach. The proposed approach uses ontological engineering to create "seed" activity models, which are then deployed and incrementally evolved through activity discovery and model updates based on collected data. The approach was implemented in an assistive living system to test activity learning algorithms.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Encontro anual da comunidade Splunk, onde discutimos todas as novidades apresentadas na conferência anual da Spunk, a .conf24 realizada em junho deste ano em Las Vegas.
Neste vídeo, trago os pontos chave do encontro, como:
- AI Assistant para uso junto com a SPL
- SPL2 para uso em Data Pipelines
- Ingest Processor
- Enterprise Security 8.0 (Maior atualização deste seu release)
- Federated Analytics
- Integração com Cisco XDR e Cisto Talos
- E muito mais.
Deixo ainda, alguns links com relatórios e conteúdo interessantes que podem ajudar no esclarecimento dos produtos e funções.
https://www.splunk.com/en_us/campaigns/the-hidden-costs-of-downtime.html
https://www.splunk.com/en_us/pdfs/gated/ebooks/building-a-leading-observability-practice.pdf
https://www.splunk.com/en_us/pdfs/gated/ebooks/building-a-modern-security-program.pdf
Nosso grupo oficial da Splunk:
https://usergroups.splunk.com/sao-paulo-splunk-user-group/
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large...YanKing2
Pre-trained Large Language Models (LLM) have achieved remarkable successes in several domains. However, code-oriented LLMs are often heavy in computational complexity, and quadratically with the length of the input code sequence. Toward simplifying the input program of an LLM, the state-of-the-art approach has the strategies to filter the input code tokens based on the attention scores given by the LLM. The decision to simplify the input program should not rely on the attention patterns of an LLM, as these patterns are influenced by both the model architecture and the pre-training dataset. Since the model and dataset are part of the solution domain, not the problem domain where the input program belongs, the outcome may differ when the model is trained on a different dataset. We propose SlimCode, a model-agnostic code simplification solution for LLMs that depends on the nature of input code tokens. As an empirical study on the LLMs including CodeBERT, CodeT5, and GPT-4 for two main tasks: code search and summarization. We reported that 1) the reduction ratio of code has a linear-like relation with the saving ratio on training time, 2) the impact of categorized tokens on code simplification can vary significantly, 3) the impact of categorized tokens on code simplification is task-specific but model-agnostic, and 4) the above findings hold for the paradigm–prompt engineering and interactive in-context learning and this study can save reduce the cost of invoking GPT-4 by 24%per API query. Importantly, SlimCode simplifies the input code with its greedy strategy and can obtain at most 133 times faster than the state-of-the-art technique with a significant improvement. This paper calls for a new direction on code-based, model-agnostic code simplification solutions to further empower LLMs.
Response & Safe AI at Summer School of AI at IIITHIIIT Hyderabad
Talk covering Guardrails , Jailbreak, What is an alignment problem? RLHF, EU AI Act, Machine & Graph unlearning, Bias, Inconsistency, Probing, Interpretability, Bias
Exploring Deep Learning Models for Image Recognition: A Comparative Reviewsipij
Image recognition, which comes under Artificial Intelligence (AI) is a critical aspect of computer vision,
enabling computers or other computing devices to identify and categorize objects within images. Among
numerous fields of life, food processing is an important area, in which image processing plays a vital role,
both for producers and consumers. This study focuses on the binary classification of strawberries, where
images are sorted into one of two categories. We Utilized a dataset of strawberry images for this study; we
aim to determine the effectiveness of different models in identifying whether an image contains
strawberries. This research has practical applications in fields such as agriculture and quality control. We
compared various popular deep learning models, including MobileNetV2, Convolutional Neural Networks
(CNN), and DenseNet121, for binary classification of strawberry images. The accuracy achieved by
MobileNetV2 is 96.7%, CNN is 99.8%, and DenseNet121 is 93.6%. Through rigorous testing and analysis,
our results demonstrate that CNN outperforms the other models in this task. In the future, the deep
learning models can be evaluated on a richer and larger number of images (datasets) for better/improved
results.
Unblocking The Main Thread - Solving ANRs and Frozen FramesSinan KOZAK
In the realm of Android development, the main thread is our stage, but too often, it becomes a battleground where performance issues arise, leading to ANRS, frozen frames, and sluggish Uls. As we strive for excellence in user experience, understanding and optimizing the main thread becomes essential to prevent these common perforrmance bottlenecks. We have strategies and best practices for keeping the main thread uncluttered. We'll examine the root causes of performance issues and techniques for monitoring and improving main thread health as wel as app performance. In this talk, participants will walk away with practical knowledge on enhancing app performance by mastering the main thread. We'll share proven approaches to eliminate real-life ANRS and frozen frames to build apps that deliver butter smooth experience.
Software Engineering and Project Management - Introduction to Project ManagementPrakhyath Rai
Introduction to Project Management: Introduction, Project and Importance of Project Management, Contract Management, Activities Covered by Software Project Management, Plans, Methods and Methodologies, some ways of categorizing Software Projects, Stakeholders, Setting Objectives, Business Case, Project Success and Failure, Management and Management Control, Project Management life cycle, Traditional versus Modern Project Management Practices.
In May 2024, globally renowned natural diamond crafting company Shree Ramkrishna Exports Pvt. Ltd. (SRK) became the first company in the world to achieve GNFZ’s final net zero certification for existing buildings, for its two two flagship crafting facilities SRK House and SRK Empire. Initially targeting 2030 to reach net zero, SRK joined forces with the Global Network for Zero (GNFZ) to accelerate its target to 2024 — a trailblazing achievement toward emissions elimination.
20CDE09- INFORMATION DESIGN
UNIT I INCEPTION OF INFORMATION DESIGN
Introduction and Definition
History of Information Design
Need of Information Design
Types of Information Design
Identifying audience
Defining the audience and their needs
Inclusivity and Visual impairment
Case study.
A brand new catalog for the 2024 edition of IWISS. We have enriched our product range and have more innovations in electrician tools, plumbing tools, wire rope tools and banding tools. Let's explore together!
OCS Training Institute is pleased to co-operate with
a Global provider of Rig Inspection/Audits,
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& Engineering for Offshore Drilling Rigs, to deliver
Drilling Rig Inspec-tion Workshops (RIW) which
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required to ensure equipment integrity. Candidates
learn to implement the relevant standards &
understand industry requirements so that they can
verify the condition of a rig’s equipment & improve
safety, thus reducing the number of accidents and
protecting the asset.
Development of Chatbot Using AI/ML Technologiesmaisnampibarel
The rapid advancements in artificial intelligence and natural language processing have significantly transformed human-computer interactions. This thesis presents the design, development, and evaluation of an intelligent chatbot capable of engaging in natural and meaningful conversations with users. The chatbot leverages state-of-the-art deep learning techniques, including transformer-based architectures, to understand and generate human-like responses.
Key contributions of this research include the implementation of a context- aware conversational model that can maintain coherent dialogue over extended interactions. The chatbot's performance is evaluated through both automated metrics and user studies, demonstrating its effectiveness in various applications such as customer service, mental health support, and educational assistance. Additionally, ethical considerations and potential biases in chatbot responses are examined to ensure the responsible deployment of this technology.
The findings of this thesis highlight the potential of intelligent chatbots to enhance user experience and provide valuable insights for future developments in conversational AI.
2014 IEEE JAVA PARALLEL DISTRIBUTED PROJECT On false-data-injection-attacks-against-power
1. GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
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On False Data-Injection Attacks against Power System State
Estimation: Modeling and Countermeasures
ABSTRACT:
It is critical for a power system to estimate its operation state based on meter
measurements in the field and the configuration of power grid networks. Recent
studies show that the adversary can bypass the existing bad data detection
schemes,posing dangerous threats to the operation of power grid systems.
Nevertheless, two critical issues remain open: 1) how can an adversary choose the
meters to compromise to cause the most significant deviation of the system state
estimation, and 2) how can a system operator defend against such attacks? To
address these issues, we first study the problem of finding the optimal attack
strategy—i.e., a data-injection attacking strategy that selects a set of meters to
manipulate so as to cause the maximum damage. We formalize the problem and
develop efficient algorithms to identify the optimal meter set. We implement and
test our attack strategy on various IEEE standard bus systems, and demonstrate its
superiority over a baseline strategy of random selections. To defend agains t false
data-injection attacks, we propose a protection-based defense and a detection-based
defense, respectively. For the protection-based defense, we identify and
2. protect critical sensors and make the system more resilient to attacks. For the
detection-based defense, we develop the spatial-based and temporal-based
detection schemes to accurately identify data-injection attacks.
EXISTING SYSTEM:
State estimation has been widely used by Energy Management Systems (EMS) at
the control center to ensure that the power grid is running in desired states. It
provides the estimation of system states in real time based on meter measurements
in the field. The meter measurements are collected by the Supervisory Control and
Data Acquisition (SCADA) Systems and processed by a state estimator to filter the
measurement noise and to detect gross errors. The results of state estimation are
then used by applications at the control center, for purposes such as contingency
analysis, optimal power flow, economic dispatch, and others.
One can see that state estimation plays a critical role in the stability of power grid
systems. Meter measurements collected via the SCADA system contain not only
measurement noise due to the finite accuracy of meters and communication media,
but also errors caused by various issues for example, meters with faulty connection
and calibration.
To reduce the impact of noise and errors, power system researchers have
developed numerous methods to process meter measurements after the state
estimation process. The essential goal of these methods is to leverage the
redundancy of multiple measurements to identify and remove anomalies. While
most existing techniques for protecting power grid systems were designed to
ensure system reliability (i.e.,against random failures), recently there have been
3. growing concerns in smart grid initiatives on the protection against malicious cyber
attacks . There are growing concerns in the smart grid on protection against
malicious cyber threats and the operation and control of smart grid depend on a
complex cyberspace of computers, software, and communication technologies.
Because the measurement component supported by smart equipment (e.g., smart
meters and sensors) plays an important role, it can be a target for attacks. As those
measuring devices may be connected through open network interfaces and lacking
tamper-resistance hardware increases the possibility of being compromised by the
adversary.
DISADVANTAGES OF EXISTING SYSTEM:
1. The adversary can inject false measurement reports to the controller. This
causes the controller to estimate wrong system states, posing dangerous threats to
the operation of the power grid system.
2. If the controller to estimates wrong system states, posing dangerous threats to
the operation of the power grid system.
PROPOSED SYSTEM:
In this paper, we study a novel problem of defending against false data-injection
attacks from the system operator’s point of view. Because most adversaries are
limited in the amount of resources they possess, we first consider a least-effort
attack model—i.e., the objective of the adversary is to identify the minimum
number of meters that one has to manipulate to change a predetermined number of
state variables (so as to launch a false data-injection attack accordingly).
4. We prove the NP-hardness of this problem by reduction from the minimum sub
additive join problem. To address this problem in a practical setting, we develop a
linear transformation-based approach, which finds the optimal solution through the
matrix transformation. Nevertheless, the computation complexity of the matrix
transformation grows exponentially with the size of the power network. To address
this issue, we develop a heuristic yet extremely efficient approach. Specifically,
through the analysis of the H matrix, for a set of bus state variables, the adversary
needs to compromise less meters when the buses are connected to one another with
the largest degrees and connected to the least number of buses beyond its area.
Based on this insight, we divide the network into a number of overlapping areas.
The linear transformation or brute-force search (BF) can be used to identify the
optimal set of meters for individual small areas and then derive the set of meters
for the whole network.
We have implemented our proposed heuristic-based approach on power system
state manipulation on various IEEE standard buses. Our extensive experimental
data validate the feasibility and effectiveness of the developed approach.
ADVANTAGES OF PROPOSED SYSTEM:
1. The spatial-based detection algorithm is able to recognize at least 95 percent of
the false data-injection attacks once the attack changes more than 6 percent of the
state variable values
2. The temporal-based detection algorithm can identify the compromised meters
that send manipulated measurements quickly.
5. SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
System : Pentium IV 2.4 GHz.
Hard Disk : 40 GB.
Floppy Drive : 1.44 Mb.
Monitor : 15 VGA Colour.
Mouse : Logitech.
Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
Operating system : Windows XP/7.
Coding Language : JAVA/J2EE
IDE : Netbeans 7.4
Database : MYSQL
REFERENCE:
6. Qingyu Yang, Member, IEEE, Jie Yang, Wei Yu, Dou An,Nan Zhang, and Wei
Zhao, Fellow, IEEE”On False Data-Injection Attacks against Power System
State Estimation: Modeling and Countermeasures”IEEE TRANSACTIONS
ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25,NO. 3,MARCH
2014.