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
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Scalable analytics for iaa s cloud ...IEEEMEMTECHSTUDENTPROJECTS
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
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
This document discusses two cloud applications: ECG analysis and protein structure prediction.
ECG analysis in the cloud allows remote monitoring of patients' heartbeats, minimal-time data analysis in the cloud, and notification of medical personnel if dangerous conditions are detected. Protein structure prediction, which requires extensive computation, can now access cloud computing resources on demand without owning an on-premise cluster.
The document also describes Jeeva, a web portal that enables scientists to offload protein structure prediction tasks to a cloud computing environment for parallel processing to reduce computational time. Cloud computing provides opportunities for applications across many domains by offering scalable, on-demand access to computing resources.
This document presents research on assessing risk to determine the optimal level of redundancy needed when moving critical applications to the cloud. It develops fault tree models based on the physical structure of clouds to calculate failure frequency. It factors in varying resource quality and the costs of downtime and VMs. The results show that deploying between 4-6 redundant VMs provides significant availability gains and reduces total costs by lowering risk compared to basic redundancy approaches. The aim was met of leveraging cloud features in modeling to support high-value, mission critical applications on public clouds.
Engineering Cross-Layer Fault Tolerance in Many-Core SystemsSERENEWorkshop
1) The document discusses engineering cross-layer fault tolerance in many-core systems. It proposes a cross-layer approach where fault tolerance is distributed across system layers rather than handled solely within a single layer.
2) A motivating example of cross-layer fault tolerance is discussed using TCP/IP, where errors can be detected and recovered across multiple layers for improved efficiency.
3) The challenges of ensuring cross-layer fault tolerance for many-core systems containing tens to thousands of cores are discussed to improve reliability, performance and energy efficiency.
4) The plan is to implement a case study of a car number plate recognition application to gain experience with cross-layer fault tolerance, and apply order graphs to model performance
AELCloud is an online platform for managing OrcaFlex analysis and running simulations on cloud servers. It provides unique scalability and traceability for dynamic analysis projects.
For more information go to:
www.agiletek.co.uk/aelcloud
or contact
london@agiletek.co.uk
This document discusses efficient rendezvous algorithms for wireless sensor networks with mobile base stations. It proposes an approach where select sensor nodes act as rendezvous points, buffering and aggregating data from other sensors. These rendezvous points then transfer the collected data to the base station when it arrives, combining the advantages of controlled mobility and in-network caching. Algorithms are presented for rendezvous design with mobile base stations having variable or fixed tracks. Both theoretical analysis and simulations validate that this approach can achieve a good balance between energy savings and reduced data collection latency in the network.
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Scalable analytics for iaa s cloud ...IEEEMEMTECHSTUDENTPROJECTS
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
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
This document discusses two cloud applications: ECG analysis and protein structure prediction.
ECG analysis in the cloud allows remote monitoring of patients' heartbeats, minimal-time data analysis in the cloud, and notification of medical personnel if dangerous conditions are detected. Protein structure prediction, which requires extensive computation, can now access cloud computing resources on demand without owning an on-premise cluster.
The document also describes Jeeva, a web portal that enables scientists to offload protein structure prediction tasks to a cloud computing environment for parallel processing to reduce computational time. Cloud computing provides opportunities for applications across many domains by offering scalable, on-demand access to computing resources.
This document presents research on assessing risk to determine the optimal level of redundancy needed when moving critical applications to the cloud. It develops fault tree models based on the physical structure of clouds to calculate failure frequency. It factors in varying resource quality and the costs of downtime and VMs. The results show that deploying between 4-6 redundant VMs provides significant availability gains and reduces total costs by lowering risk compared to basic redundancy approaches. The aim was met of leveraging cloud features in modeling to support high-value, mission critical applications on public clouds.
Engineering Cross-Layer Fault Tolerance in Many-Core SystemsSERENEWorkshop
1) The document discusses engineering cross-layer fault tolerance in many-core systems. It proposes a cross-layer approach where fault tolerance is distributed across system layers rather than handled solely within a single layer.
2) A motivating example of cross-layer fault tolerance is discussed using TCP/IP, where errors can be detected and recovered across multiple layers for improved efficiency.
3) The challenges of ensuring cross-layer fault tolerance for many-core systems containing tens to thousands of cores are discussed to improve reliability, performance and energy efficiency.
4) The plan is to implement a case study of a car number plate recognition application to gain experience with cross-layer fault tolerance, and apply order graphs to model performance
AELCloud is an online platform for managing OrcaFlex analysis and running simulations on cloud servers. It provides unique scalability and traceability for dynamic analysis projects.
For more information go to:
www.agiletek.co.uk/aelcloud
or contact
london@agiletek.co.uk
This document discusses efficient rendezvous algorithms for wireless sensor networks with mobile base stations. It proposes an approach where select sensor nodes act as rendezvous points, buffering and aggregating data from other sensors. These rendezvous points then transfer the collected data to the base station when it arrives, combining the advantages of controlled mobility and in-network caching. Algorithms are presented for rendezvous design with mobile base stations having variable or fixed tracks. Both theoretical analysis and simulations validate that this approach can achieve a good balance between energy savings and reduced data collection latency in the network.
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
Probabilistic Programming for Dynamic Data Assimilation on an Agent-Based ModelNick Malleson
Usually in computer programming, variables are usually assigned to specific values (e.g. a virtual person in a computer simulation might have an 'age' variable which stores a number). Probabilistic programming, on the other hand, allows you to represent _random variables_. These are variables whose values we do not know precisely, so can be represented by a probability distribution rather than a single value.
This is potentially a very elegant way of capturing uncertainty in our models. However, using the probabilistic programming approach for agent-based modelling raises a number of questions. In the following slides, LIDA data science intern Luke Archer introduces his recent work that explores the use of probabilistic programming libraries for building agent-based models.
A rough set-based incremental approach for updating approximations under dyna...Ecway Technologies
This paper proposes a new incremental method for updating approximations of concepts in a variable precision rough set model (VPRS) when objects in the information system dynamically change over time. It discusses how information granulation and approximations are affected under a dynamic environment. The method also considers changes in an attribute's domain to perform incremental updates to the approximations under VPRS. An experimental evaluation demonstrates the efficiency of the proposed incremental updating approach for dynamic maintenance of VPRS approximations.
Available technologies: algorithm for flexible bandwidth reservations for dat...balmanme
Scientists at Berkeley Lab developed a flexible reservation algorithm that finds communication paths in time-dependent networks with bandwidth constraints. The algorithm offers reservation options that meet the user's specified requirements for start time, transit time, and bandwidth. It was tested in network simulations and can produce reservation options in under a second for networks with 1000 nodes. The algorithm provides more flexibility than existing reservation systems and allows users to optimize their choices for large-scale data transfers.
Strategies for energy efficient resource management of hybrid programming modelsEcway Technologies
This document discusses strategies for improving energy efficiency in hybrid programming models that use both message passing and shared memory. It presents new software-controlled execution schemes that consider dynamic concurrency throttling and dynamic voltage frequency scaling for hybrid models. These schemes use predictive models and algorithms to determine optimal resource configurations for different concurrency and frequency settings. When applied to benchmarks and scientific applications, the approaches achieved substantial energy savings of up to 13.8% on average with some applications seeing performance gains of up to 7.5% or negligible losses.
This document discusses developing cyberinfrastructure to support computational chemistry workflows. It describes the OREChem project which aims to develop infrastructure for scholarly materials in chemistry. It outlines IU's objectives to build pipelines to fetch OREChem data, perform computations on resources like TeraGrid, and store results. It also discusses the GridChem science gateway which supports various chemistry applications and the ParamChem project which automates parameterization of molecular mechanics methods through workflows. Finally, it covers the Open Gateway Computing Environments project and efforts to sustain software through the Apache Software Foundation.
An optimization framework for mobile data collection in energy harvesting wir...Finalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
Otras webs para el alojamineto de imagenesIsrael Avila
Este documento lista varias alternativas a Google Fotos para alojar imágenes en línea, incluyendo Picasa, Magix Album Online, FavShare, myPIX y 1001 fotos.
Este documento describe la historia y evolución de las cremas Teatrical desde 1919 hasta la actualidad, destacando que mantienen su fórmula original a base de lanolina, cera de abeja y aceite mineral. También explica las tres capas de la piel (epidermis, dermis y capa subcutánea), sus funciones, y la importancia de una buena alimentación para el cuidado de la piel.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise stimulates the production of endorphins in the brain which elevate mood and reduce stress levels.
Interface de collaboration - Le Rôle du Médecin spécialiste répondant en pé...Université de Montréal
Ma contribution à un atelier sur le Médecin spécialiste répondant en psychiatrie (MSRP) au congrès annuel de l'Association des médecins psychiatres du Québec à La Malbaie, Québec, juin 2014
Microsoft Power Point Presentacio Convencin Profesores De Comercio Es2Carmen Maldonado
1) El documento trata sobre un proceso neurobiológico del aprendizaje presentado en la Trigésima Asamblea Anual de la Asociación de Profesores de Educación Comercial.
2) Se discuten los tipos de aprendizaje en humanos como conducta, información, esquemas y conocimiento.
3) También se explican conceptos como las memorias, los circuitos neurales y los sistemas de memoria como la memoria de trabajo.
This document lists over 100 exhibitions that the artist has participated in from 1974 to 2010. It includes both real world exhibitions held in galleries and museums internationally, as well as virtual world exhibitions held online. The exhibitions span the artist's career and include solo shows of their work as well as group exhibitions featuring their pieces alongside other artists. The list provides details on the exhibition name, location, dates, and relevant details for each entry.
Shri Infratech started operations in 2003 in Lucknow, India and has successfully completed over 10 years in real estate development. It is a reputed company in bulk land acquisition and infrastructure development that maintains high quality standards as an ISO 9001:2000 certified organization, focusing on both business and social responsibilities.
An experimental study on hypothyroid using rotation forestIJDKP
This paper majorly focuses on hypothyroid medical diseases caused by underactive thyroid glands. The
dataset used for the study on hypothyroid is taken from UCI repository. Classification of this thyroid
disease is a considerable task. An experimental study is carried out using rotation forest using features
selection methods to achieve better accuracy. An important step to gain good accuracy is a pre- processing
step, thus here two feature selection techniques are used. A filter method, Correlation features subset
selection and wrappers method has helped in removing irrelevant as well as useless features from the data
set. Fourteen different machine learning algorithms were tested on hypothyroid data set using rotation
forest which successfully turned out giving positively improved results
Este documento propone realizar una ceremonia de ingreso en Andahuaylas para otorgar grados académicos, títulos profesionales, grados de maestría y doctorado. También propone la venta de medallas, portadiplomas y becas para recibir fondos, así como cobros adicionales para aquellos que no asistan a la ceremonia de colación de grados los jueves a las 11 am en la Universidad Nacional Hermilio Valdizán de Huánuco. Finalmente, agradece la atención recibida.
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
Probabilistic Programming for Dynamic Data Assimilation on an Agent-Based ModelNick Malleson
Usually in computer programming, variables are usually assigned to specific values (e.g. a virtual person in a computer simulation might have an 'age' variable which stores a number). Probabilistic programming, on the other hand, allows you to represent _random variables_. These are variables whose values we do not know precisely, so can be represented by a probability distribution rather than a single value.
This is potentially a very elegant way of capturing uncertainty in our models. However, using the probabilistic programming approach for agent-based modelling raises a number of questions. In the following slides, LIDA data science intern Luke Archer introduces his recent work that explores the use of probabilistic programming libraries for building agent-based models.
A rough set-based incremental approach for updating approximations under dyna...Ecway Technologies
This paper proposes a new incremental method for updating approximations of concepts in a variable precision rough set model (VPRS) when objects in the information system dynamically change over time. It discusses how information granulation and approximations are affected under a dynamic environment. The method also considers changes in an attribute's domain to perform incremental updates to the approximations under VPRS. An experimental evaluation demonstrates the efficiency of the proposed incremental updating approach for dynamic maintenance of VPRS approximations.
Available technologies: algorithm for flexible bandwidth reservations for dat...balmanme
Scientists at Berkeley Lab developed a flexible reservation algorithm that finds communication paths in time-dependent networks with bandwidth constraints. The algorithm offers reservation options that meet the user's specified requirements for start time, transit time, and bandwidth. It was tested in network simulations and can produce reservation options in under a second for networks with 1000 nodes. The algorithm provides more flexibility than existing reservation systems and allows users to optimize their choices for large-scale data transfers.
Strategies for energy efficient resource management of hybrid programming modelsEcway Technologies
This document discusses strategies for improving energy efficiency in hybrid programming models that use both message passing and shared memory. It presents new software-controlled execution schemes that consider dynamic concurrency throttling and dynamic voltage frequency scaling for hybrid models. These schemes use predictive models and algorithms to determine optimal resource configurations for different concurrency and frequency settings. When applied to benchmarks and scientific applications, the approaches achieved substantial energy savings of up to 13.8% on average with some applications seeing performance gains of up to 7.5% or negligible losses.
This document discusses developing cyberinfrastructure to support computational chemistry workflows. It describes the OREChem project which aims to develop infrastructure for scholarly materials in chemistry. It outlines IU's objectives to build pipelines to fetch OREChem data, perform computations on resources like TeraGrid, and store results. It also discusses the GridChem science gateway which supports various chemistry applications and the ParamChem project which automates parameterization of molecular mechanics methods through workflows. Finally, it covers the Open Gateway Computing Environments project and efforts to sustain software through the Apache Software Foundation.
An optimization framework for mobile data collection in energy harvesting wir...Finalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
Otras webs para el alojamineto de imagenesIsrael Avila
Este documento lista varias alternativas a Google Fotos para alojar imágenes en línea, incluyendo Picasa, Magix Album Online, FavShare, myPIX y 1001 fotos.
Este documento describe la historia y evolución de las cremas Teatrical desde 1919 hasta la actualidad, destacando que mantienen su fórmula original a base de lanolina, cera de abeja y aceite mineral. También explica las tres capas de la piel (epidermis, dermis y capa subcutánea), sus funciones, y la importancia de una buena alimentación para el cuidado de la piel.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise stimulates the production of endorphins in the brain which elevate mood and reduce stress levels.
Interface de collaboration - Le Rôle du Médecin spécialiste répondant en pé...Université de Montréal
Ma contribution à un atelier sur le Médecin spécialiste répondant en psychiatrie (MSRP) au congrès annuel de l'Association des médecins psychiatres du Québec à La Malbaie, Québec, juin 2014
Microsoft Power Point Presentacio Convencin Profesores De Comercio Es2Carmen Maldonado
1) El documento trata sobre un proceso neurobiológico del aprendizaje presentado en la Trigésima Asamblea Anual de la Asociación de Profesores de Educación Comercial.
2) Se discuten los tipos de aprendizaje en humanos como conducta, información, esquemas y conocimiento.
3) También se explican conceptos como las memorias, los circuitos neurales y los sistemas de memoria como la memoria de trabajo.
This document lists over 100 exhibitions that the artist has participated in from 1974 to 2010. It includes both real world exhibitions held in galleries and museums internationally, as well as virtual world exhibitions held online. The exhibitions span the artist's career and include solo shows of their work as well as group exhibitions featuring their pieces alongside other artists. The list provides details on the exhibition name, location, dates, and relevant details for each entry.
Shri Infratech started operations in 2003 in Lucknow, India and has successfully completed over 10 years in real estate development. It is a reputed company in bulk land acquisition and infrastructure development that maintains high quality standards as an ISO 9001:2000 certified organization, focusing on both business and social responsibilities.
An experimental study on hypothyroid using rotation forestIJDKP
This paper majorly focuses on hypothyroid medical diseases caused by underactive thyroid glands. The
dataset used for the study on hypothyroid is taken from UCI repository. Classification of this thyroid
disease is a considerable task. An experimental study is carried out using rotation forest using features
selection methods to achieve better accuracy. An important step to gain good accuracy is a pre- processing
step, thus here two feature selection techniques are used. A filter method, Correlation features subset
selection and wrappers method has helped in removing irrelevant as well as useless features from the data
set. Fourteen different machine learning algorithms were tested on hypothyroid data set using rotation
forest which successfully turned out giving positively improved results
Este documento propone realizar una ceremonia de ingreso en Andahuaylas para otorgar grados académicos, títulos profesionales, grados de maestría y doctorado. También propone la venta de medallas, portadiplomas y becas para recibir fondos, así como cobros adicionales para aquellos que no asistan a la ceremonia de colación de grados los jueves a las 11 am en la Universidad Nacional Hermilio Valdizán de Huánuco. Finalmente, agradece la atención recibida.
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 Study on Replication and Failover Cluster to Maximize System UptimeYogeshIJTSRD
This document summarizes a study on using replication and failover clusters to maximize system uptime for cloud services. It discusses challenges in ensuring high availability of cloud services from a provider perspective. The study aims to present a high availability solution using load balancing, elasticity, replication, and disaster recovery configuration. It reviews related literature on digital media distribution platforms, content delivery networks, auto-scaling strategies, and database replication impact. It also covers methodologies like CloudFront, state machine replication, neural networks, Markov decision processes, and sliding window protocols. The scope is to build a scalable, fault-tolerant environment with disaster recovery and ensure continuous availability. The conclusion is that data replication and failover clusters are necessary to plan data
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
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 lists several Java/J2EE/J2ME projects related to utility computing environments, schema matching, fuzzy ontology generation, wireless sensor networks, wireless MAC protocols, distributed cache updating, selfish routing, collaborative key agreement, TCP congestion control, global roaming in mobile networks, GPS-based emergency response systems, network intrusion detection, honey pots, voice over IP, vehicle tracking, SIP-based teleconferencing, online security systems, and location-aided routing in ad hoc networks. The projects cover a wide range of topics related to distributed systems, wireless networks, and Internet applications.
This document lists several Java/J2EE/J2ME projects involving topics like adaptive resource allocation in utility computing, automatic schema matching, fuzzy ontology generation for the semantic web, energy efficient routing in wireless sensor networks, wireless MAC protocols, distributed cache updating, selfish routing in internet-like environments, distributed collaborative key agreement, TCP low priority service, distributed database architecture for global roaming, shortest path finding using GPS navigation, network intrusion detection, honey pots for security, voice over internet protocol, GPS vehicle location tracking, SIP-based teleconferencing, online security systems using motion detection, and location aided routing in ad-hoc networks.
This document lists several Java/J2EE/J2ME projects including:
1. A project on adaptive resource allocation in utility computing clusters that observed a 14% increase in resource provider profit and 20% reduction in user request response time.
2. A project on automatic schema matching that introduced a framework for composing schema matchers and generating ranked schema mappings.
3. A project on automatic fuzzy ontology generation for the semantic web using fuzzy formal concept analysis.
4. A project on energy efficient routing in wireless sensor networks that jointly optimized data transmission and fusion costs.
The document describes 10 Java/J2EE/J2ME projects covering topics such as:
1) Adaptive resource allocation in utility computing and its impact on provider profit and user response times.
2) Using schema meta-matching to generate consensus mappings between schemas by composing multiple schema matchers.
3) Automatically generating fuzzy ontologies for the semantic web using fuzzy formal concept analysis.
4) An adaptive data fusion algorithm for energy efficient routing in wireless sensor networks.
5) An implicitly pipelined MAC protocol to improve channel utilization for wireless networks.
6) A distributed cache updating algorithm for the dynamic source routing protocol.
7) Investigating selfish routing in Internet-like environments using game
This document lists several Java/J2EE/J2ME projects related to utility computing environments, schema matching, fuzzy ontology generation, wireless sensor networks, wireless MAC protocols, distributed cache updating, selfish routing, collaborative key agreement, TCP congestion control, global roaming in mobile networks, GPS-based emergency response systems, network intrusion detection, honey pots, voice over IP, vehicle tracking, SIP-based teleconferencing, online security systems, and location-aided routing in ad hoc networks. The projects cover a wide range of topics related to distributed systems, wireless networks, and Internet protocols.
The document describes 10 Java/J2EE/J2ME projects covering topics such as:
1) Adaptive resource allocation in utility computing and its impact on provider profit and user requirements.
2) Using schema meta-matching to generate consensus rankings from multiple schema matchers to improve automatic schema matching.
3) The FOGA framework for automatically generating fuzzy ontologies for representing uncertainty on the Semantic Web.
4) The Adaptive Fusion Steiner Tree algorithm for optimizing energy efficiency in wireless sensor networks by adaptively determining whether to perform data fusion.
This document lists several Java/J2EE/J2ME projects related to utility computing environments, schema matching, fuzzy ontology generation, wireless sensor networks, wireless MAC protocols, distributed cache updating, selfish routing, collaborative key agreement, TCP congestion control, global roaming in mobile networks, GPS-based emergency response systems, network intrusion detection, honey pots, voice over IP, vehicle tracking, SIP-based teleconferencing, online security systems, and location-aided routing in ad hoc networks. The projects cover a wide range of topics related to distributed systems, wireless networks, and Internet protocols.
This document lists several Java/J2EE/J2ME projects related to utility computing environments, schema matching, fuzzy ontology generation, wireless sensor networks, wireless MAC protocols, distributed cache updating, selfish routing, collaborative key agreement, TCP congestion control, global roaming in mobile networks, GPS-based emergency response systems, network intrusion detection, honey pots, voice over IP, vehicle tracking, SIP-based teleconferencing, online security systems, and location-aided routing in ad hoc networks. The projects cover a wide range of topics related to distributed systems, wireless networks, and Internet protocols.
This document lists several Java/J2EE/J2ME projects related to utility computing environments, schema matching, fuzzy ontology generation, wireless sensor networks, wireless MAC protocols, distributed cache updating, selfish routing, collaborative key agreement, TCP congestion control, global roaming in mobile networks, GPS-based emergency response systems, network intrusion detection, honey pots, voice over IP, vehicle tracking, SIP-based teleconferencing, online security systems, and location-aided routing in ad hoc networks. The projects cover a wide range of topics related to distributed systems, wireless networks, and Internet protocols.
This document lists several Java/J2EE/J2ME projects related to utility computing environments, schema matching, fuzzy ontology generation, wireless sensor networks, wireless MAC protocols, distributed cache updating, selfish routing, collaborative key agreement, TCP congestion control, global roaming in mobile networks, GPS-based emergency response systems, network intrusion detection, honey pots, voice over IP, vehicle tracking, SIP-based teleconferencing, online security systems, and location-aided routing in ad hoc networks. The projects cover a wide range of topics related to distributed systems, wireless networks, and Internet protocols.
This document lists several Java/J2EE/J2ME projects related to utility computing environments, schema matching, fuzzy ontology generation, wireless sensor networks, wireless MAC protocols, distributed cache updating, selfish routing, collaborative key agreement, TCP congestion control, global roaming in mobile networks, GPS-based emergency response systems, network intrusion detection, honey pots, voice over IP, vehicle tracking, SIP-based teleconferencing, online security systems, and location-aided routing in ad hoc networks. The projects cover a wide range of topics related to distributed systems, wireless networks, and Internet applications.
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
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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
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
GlobalSoft Technologies provides final year projects for engineering students related to cloud storage. They propose a new client-side data deduplication scheme for securely storing outsourced data in public clouds. The scheme encrypts each file with a unique key computed by the client, so that only the data owner can access it. It also integrates access rights in metadata, so authorized users can decrypt encrypted files only with their private key. The system is implemented on OpenStack Swift and uses Windows, Tomcat, HTML, Java, JavaScript, JSP, and MySQL.
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 authorized data deduplication in a hybrid cloud. It aims to allow duplicate checks of files while considering users' differential privileges. The system would use file tokens determined by the file and user privilege to control authorized access. It presents several deduplication constructions and security analysis, and discusses implementing a prototype to evaluate overhead. The main modules are user authentication, a secure deduplication system using file tokens, security of duplicate check tokens, and sending encryption keys.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
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.
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.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
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.
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, Serbia
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Generative AI leverages algorithms to create various forms of content
2014 IEEE DOTNET CLOUD COMPUTING PROJECT Scalable analytics for iaa s cloud availability
1. GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401
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Scalable Analytics for IaaS Cloud Availability
Abstract—
In a large Infrastructure-as-a-Service (IaaS) cloud, component failures are quite
common. Such failures may lead tooccasional system downtime and eventual
violation of Service Level Agreements (SLAs) on the cloud service availability.
Theavailability analysis of the underlying infrastructure is useful to the service
provider to design a system capable of providing a definedSLA, as well as to
evaluate the capabilities of an existing one. This paper presents a scalable,
stochastic model-driven approach toquantify the availability of a large-scale
IaaS cloud, where failures are typically dealt with through migration of physical
machinesamong three pools: hot (running), warm (turned on, but not ready), and
cold (turned off). Since monolithic models do not scale for largesystems, we use
an interacting Markov chain based approach to demonstrate the eduction in the
complexity of analysis and thesolution time. The three pools are modeled by
interacting sub-models. Dependencies among them are resolved using fixed-pointiteration,
for which existence of a solution is proved. The analytic-numeric
solutions obtained from the proposed approach and from the
2. monolithic model are compared. We show that the errors introduced by
interacting sub-models are insignificant and that our approachcan handle very
large size IaaS clouds. The simulative solution is also considered for the
proposed model, and solution time of themethods are compared.
EXISTING SCHEME
The availability analysis of the underlying infrastructure is useful to the service
provider to design a system capable of providing a definedSLA, as well as to
evaluate the capabilities of an existing one. The three pools are modeled by
interacting sub-models. Dependencies among them are resolved using fixed-point
iteration, for which existence of a solution is proved..Many of the existing
published models are hierarchical in nature. In our case, complexity and
characteristics of large IaaS clouds (e.g., migration of PMs from one
pool to another) lead to cyclic dependency among the submodels,needing fixed-point
iteration.
PROPOSED SCHEME
The analytic-numeric solutions obtained from the proposed approach and from
themonolithic model are compared. We show that the errors introduced by
interacting sub-models are insignificant and that our approachcan handle very
large size IaaS clouds. The simulative solution is also considered for the
proposed model, and solution time of themethods are compared. We state the
availability assessment problem for anIaaScloud and propose a realistic
3. monolithicmodel representative of the state-of-the-arts. an interacting sub-models
approach tosolve the largeness problem of the monolithic availability
model . The overall model solutionis obtained by fixed-point iteration over
individualsub-model solutions. To solve such problems, the hierarchical
composition is introduced in (and many other papersand books), where a two-level
hierarchical model is proposed.Each subsystem is modeled by a Markov
chain andthe system. The specific case of cloud computing, some modeling
approaches focusing on dependability aspects have beenproposed in recent
years. The scalable stochasticapproach that we describe can be complementary
to thiswork as the measured failure/repair rates of hardware componentscan be
used to parameterize the model we propose. an anomaly prediction system
(ALERT) forachieving robust hosting infrastructures is proposed. In special
cases, closed form solutions canalso be derived to solve very large cloud models
quickly.Cloud service providers can benefit from the proposedmodeling
approach during design, development, testingand operation of IaaS cloud.
CONCLUSIONS
This paper describes a stochastic modeling approach foravailability analysis of
large IaaS cloud systems. We showhow scalability issues for a monolithic
model can beresolved by means of interacting sub-models or by means of
simulation. The interacting sub-models approach quicklyprovides model
solutions facilitating scalability without significantlycompromising the
accuracy. Simulation providesresults that closely match with monolithic and
interactingsub-models approaches and, for large systems, results areobtained
faster. In special cases, closed form solutions canalso be derived to solve very
large cloud models quickly.Cloud service providers can benefit from
theproposedmodeling approach during design, development, testingand
operation of IaaS cloud. During design and development,providers can use these
4. models to determine the poolsize required to offer a specific availability SLA.
In the testingand operational stages, the providers can tune parametersfor the
dynamic repair strategies (e.g., number ofparallel repairs, automated versus
manual repairs) to maintainthe promised availability SLA.
System Requirements:
Hardware Requirements:
System : Pentium IV 2.4 GHz.
Hard Disk : 40 GB.
Floppy Drive : 44 Mb.
Monitor : 15 VGA Colour.
Ram : 512 Mb.
Software Requirements:
Operating system : Windows XP/7.
Coding Language : net, C#.net
Tool : Visual Studio 2010