FPGA IMPLEMENTATION OF PRIORITYARBITER BASED ROUTER DESIGN FOR NOC SYSTEMSIAEME Publication
An efficient Priority-Arbiter based Router is designed along with 2X2 and 3X3 mesh
topology based NOC architecture are designed. The Priority –Arbiter based Router
design includes Input registers, Priority arbiter, and XY- Routing algorithm. The
Priority-Arbiter based Router and NOC 2X2 and 3X3 Router designs are synthesized
and implemented using Xilinx ISE Tool and simulated using Modelsim6.5f. The
implementation is done by Artix-7 FPGA device, and the physically debugging of the
NOC 2X2 Router design is verified using Chipscope pro tool. The performance results
are analyzed in terms of the Area (Slices, LUT’s), Timing period, and Maximum
operating frequency. The comparison of the Priority-Arbiter based Router is made
concerning previous similar architecture with improvements.
The document summarizes research on locally densest subgraph discovery. It discusses limitations of prior work that focuses on finding only the single densest subgraph or top-k dense subgraphs through a greedy approach. This may fail to fully characterize the graph's dense regions. The paper proposes defining a locally densest subgraph as one that is maximally ρ-compact, meaning it is connected and removal of nodes removes at least ρ times as many edges, ensuring it is not contained within a better subgraph. This formal definition can better represent different dense regions for applications like community detection.
This document discusses ROMe (Reconfiguration Oriented Metrics), a framework for evaluating communication architectures for reconfigurable systems-on-chip. The goals are to define metrics tailored to identifying the best fitting communication infrastructure and validate the framework. The document outlines analyzing point-to-point, bus, and network-on-chip architectures using simulations to measure metrics like latency, bandwidth, and throughput under different loads. Results are stored in a MySQL database. The ROMe analyzer is designed to discover the best configuration based on a user's system information.
This document discusses code generation as a service, where a client can submit modeling artifacts like UML models to a server which will generate code. The server schedules generation jobs, allows clients to check status, and retrieve results. This simplifies generator deployment by eliminating installation on the client side. Potential downsides include network latency, the server becoming a bottleneck, and confidentiality issues. Future work ideas involve supporting other backends, private repositories, synchronous execution, sandboxing, improved job management, and a public deployment.
This document describes DISTIL, a domain-specific language for describing model-driven engineering (MDE) services that can run in a cloud architecture. DISTIL allows specifying the structure of MDE artifacts like models and transformations, as well as atomic and composite services. It generates persistence services using MongoDB and basic REST services. The document outlines an example of packaging reusable model transformations, presents the semantics of DISTIL artifacts and services, describes the generated architecture and tool support, and discusses conclusions and future work.
Christoforos zolotas cloudmde2015 presentation - camera readyISSEL
The document proposes a meta-model for modeling RESTful web services at the platform independent model (PIM) level using model-driven engineering (MDE). The meta-model aims to (1) model third layer REST services with hypermedia links, (2) anticipate non-CRUD functionality beyond basic data operations, and (3) allow modeling of conditional hypermedia links to automate business rules. The meta-model represents resources using a model-view-controller pattern and aims to address shortcomings of existing tools by fully supporting RESTful design principles and non-CRUD functionality.
This document analyzes activity in 22 Eclipse modeling forums from 2005-2014. It finds that:
- 2009 was the busiest year for the forums, with over 25,000 posts. Activity has generally declined since 2010.
- Forums for textual modeling tools like Xtext received more posts than graphical modeling tools like GMF, Graphiti, and Sirius.
- The EMF and Xtext forums remain the most active, receiving the most posts each year. Overall forum activity across modeling tools seems to be declining.
FPGA IMPLEMENTATION OF PRIORITYARBITER BASED ROUTER DESIGN FOR NOC SYSTEMSIAEME Publication
An efficient Priority-Arbiter based Router is designed along with 2X2 and 3X3 mesh
topology based NOC architecture are designed. The Priority –Arbiter based Router
design includes Input registers, Priority arbiter, and XY- Routing algorithm. The
Priority-Arbiter based Router and NOC 2X2 and 3X3 Router designs are synthesized
and implemented using Xilinx ISE Tool and simulated using Modelsim6.5f. The
implementation is done by Artix-7 FPGA device, and the physically debugging of the
NOC 2X2 Router design is verified using Chipscope pro tool. The performance results
are analyzed in terms of the Area (Slices, LUT’s), Timing period, and Maximum
operating frequency. The comparison of the Priority-Arbiter based Router is made
concerning previous similar architecture with improvements.
The document summarizes research on locally densest subgraph discovery. It discusses limitations of prior work that focuses on finding only the single densest subgraph or top-k dense subgraphs through a greedy approach. This may fail to fully characterize the graph's dense regions. The paper proposes defining a locally densest subgraph as one that is maximally ρ-compact, meaning it is connected and removal of nodes removes at least ρ times as many edges, ensuring it is not contained within a better subgraph. This formal definition can better represent different dense regions for applications like community detection.
This document discusses ROMe (Reconfiguration Oriented Metrics), a framework for evaluating communication architectures for reconfigurable systems-on-chip. The goals are to define metrics tailored to identifying the best fitting communication infrastructure and validate the framework. The document outlines analyzing point-to-point, bus, and network-on-chip architectures using simulations to measure metrics like latency, bandwidth, and throughput under different loads. Results are stored in a MySQL database. The ROMe analyzer is designed to discover the best configuration based on a user's system information.
This document discusses code generation as a service, where a client can submit modeling artifacts like UML models to a server which will generate code. The server schedules generation jobs, allows clients to check status, and retrieve results. This simplifies generator deployment by eliminating installation on the client side. Potential downsides include network latency, the server becoming a bottleneck, and confidentiality issues. Future work ideas involve supporting other backends, private repositories, synchronous execution, sandboxing, improved job management, and a public deployment.
This document describes DISTIL, a domain-specific language for describing model-driven engineering (MDE) services that can run in a cloud architecture. DISTIL allows specifying the structure of MDE artifacts like models and transformations, as well as atomic and composite services. It generates persistence services using MongoDB and basic REST services. The document outlines an example of packaging reusable model transformations, presents the semantics of DISTIL artifacts and services, describes the generated architecture and tool support, and discusses conclusions and future work.
Christoforos zolotas cloudmde2015 presentation - camera readyISSEL
The document proposes a meta-model for modeling RESTful web services at the platform independent model (PIM) level using model-driven engineering (MDE). The meta-model aims to (1) model third layer REST services with hypermedia links, (2) anticipate non-CRUD functionality beyond basic data operations, and (3) allow modeling of conditional hypermedia links to automate business rules. The meta-model represents resources using a model-view-controller pattern and aims to address shortcomings of existing tools by fully supporting RESTful design principles and non-CRUD functionality.
This document analyzes activity in 22 Eclipse modeling forums from 2005-2014. It finds that:
- 2009 was the busiest year for the forums, with over 25,000 posts. Activity has generally declined since 2010.
- Forums for textual modeling tools like Xtext received more posts than graphical modeling tools like GMF, Graphiti, and Sirius.
- The EMF and Xtext forums remain the most active, receiving the most posts each year. Overall forum activity across modeling tools seems to be declining.
RAMSES: Robust Analytic Models for Science at Extreme ScalesIan Foster
This document discusses the RAMSES project, which aims to develop a new science of end-to-end analytical performance modeling of science workflows in extreme-scale science environments. The RAMSES research agenda involves developing component and end-to-end models, tools to provide performance advice, data-driven estimation methods, automated experiments, and a performance database. The models will be evaluated using five challenge workflows: high-performance file transfer, diffuse scattering experimental data analysis, data-intensive distributed analytics, exascale application kernels, and in-situ analysis placement.
A Survey of Recent Advances in Network Planning/Traffic Engineering (TE) ToolsVishal Sharma, Ph.D.
Designing & managing operational IP networks is a complex, multi-dimensional
task. A fundamental problem before carriers today
is to optimize network performance by better resource allocation to traffic demands.
This requires a systematic evaluation of options, a thorough scenario analysis,
and foolproof verification of network designs, all of which are increasingly
possible only with help from automated TE and planning tools.
In the past few years, significant advances have been made in enhancing existing
tools and developing new ones that help providers rapidly identify potential
performance problems, experiment with solutions, and develop robust designs.
Several techniques from optimization theory, linear programming, and
models of effective bandwidth calculation have been incorporated in such
tools, as have detailed models of several vendor systems.
We present a comparative analysis and an overview of key features of some key
commercially available network planning/TE tools, and outline how
they could be leveraged by carrier network engineering/planning
organizations to perform detailed network analysis, proactive/reactive
TE, and network design.
We first give an overview of the architecture, design philosophy, and canonical
features of modern design tools, and then focus on new enhancements to some
popular tools
as well as key distinguishing features of some newly developed ones.
In particular, we focus on decision support tools for IP network planning
and network analysis, including the latest versions from
WANDL, OPNET, Cariden..
We also present a perspective on current outstanding carrier requirements
for TE/planning tools that was synthesized by our conversations with
several leading Tier 1 and Tier 2 carriers.
With the rapid growth of IP networks in South-Asia in the past
few years, and the advent of new services and applications -- be they
wireless/wireline broadband Internet access, cable telephony, VoIP, remote
teleconferencing, e-governance, or mobile entertainment -- a key
issue before carriers is how to design and operate their networks as
methodically and as efficiently as possible to maximize both customer
retention and profits.
While several best practices typically emerge from each provider\'s
unique situation and cumulative experience (the "art" of network design), there
are certain operational precepts that systematize and streamline the
complex, multi-dimensional task of designing and managing modern, operational
IP networks (the "science" of network design).
In this talk, we first discuss the overall network design process and the
manner in which control over the network must be exercised at varying
timescales to achieve efficient operation. Next we discuss the
functions that the operational, engineering, and planning teams at a
carrier must typically execute, their inter-relationships, and
the importance/rationale for performing them to optimize network
performance.
We then outline some network design best practices that have evolved
over the past decade, drawing upon examples of carriers such as
Sprint, Global Crossing, AT&T, NTT, and Reliance. We conclude with
a look at some automated traffic engineering and planning tools,
and how they enable carriers to rapidly identify potential
performance problems, rigorously experiment with/evaluate design
options, perform thorough scenario and network analysis, and
develop robust designs.
The document discusses using systems intelligence and artificial intelligence/neural networks to enhance semiconductor electronic design automation (EDA) workflows by collecting telemetry data from EDA jobs and infrastructure and analyzing it using complex event processing, machine learning models, and messaging substrates to provide insights that could optimize EDA pipelines and infrastructure. The approach aims to allow both internal and external augmentation of EDA processes and environments through unsupervised and incremental learning.
The document proposes an approach for identifying core designs for reconfigurable systems driven by specification self-similarity. It involves partitioning a specification's data flow graph (DFG) to identify recurrent subgraphs that can be implemented as reusable configurable modules. This is done through two phases: template identification to produce equivalence classes of isomorphic subgraphs, and graph covering to select templates for implementation. The approach was tested on real-world benchmarks, demonstrating coverage of 70-90% and runtimes of seconds to minutes. Future work includes refining template selection and online scheduling of reconfigurable cores.
Design and Implementation of JPEG CODEC using NoCIRJET Journal
This document describes the design and implementation of a JPEG codec using a Network-on-Chip (NoC) structure. It aims to speed up the image transfer process and provide shorter processing times. The key steps are:
1. The JPEG encoding process includes color space conversion, downsampling, block division, discrete cosine transform, quantization, and entropy coding to compress the image.
2. A NoC is used to transmit the compressed image data packets across the chip to reduce latency during transfer.
3. The JPEG decoding process reverses the encoding steps through entropy decoding, dequantization, inverse discrete cosine transform, and image reconstruction to decompress the image for viewing.
The document summarizes research on evaluating the performance of routing protocols (RPs) for mobile ad hoc networks (MANETs). The research involved simulating 3 RPs - AODV, DSR and OLSR - under different networking scenarios to analyze their performance. Key findings include: OLSR had the highest throughput but also the largest control overhead, making AODV better suited for environments with energy/bandwidth constraints. Varying node density, mobility and traffic loads impacted protocol performance. The research aims to validate RP features and provide guidance on protocol selection for different MANET conditions.
The document discusses how application architects traditionally focused on solving IO bottlenecks in servers by offloading processing to intelligent network interface cards. With modern distributed applications spanning thousands of servers, application architects now must consider network topology, segmentation, and control plane protocols to optimize latency and bandwidth. The rise of virtualization and cloud computing has changed traffic patterns in datacenters from north-south traffic to dominant east-west traffic between servers. This requires new datacenter fabric designs beyond the traditional three-tiered topology.
IncQuery-D: Distributed Incremental Model Queries over the Cloud: Engineerin...Daniel Varro
In model-driven software engineering (MDE), model queries are core technologies of many tool and transformation-specific challenges such as design rule validation, model synchronization, view maintenance, simulation and many more. As software models are rapidly increasing in size and complexity, traditional MDE tools frequently face scalability issues that decrease productivity of engineers and increase development costs. Incremental graph queries offer a graph pattern based language for capturing queries. Furthermore, the result set of a query is cached and incrementally maintained upon model changes to provide instantaneous query response time. In this talk, first a brief overview is given on the EMF-IncQuery framework (which is an official Eclipse subproject). Then we discuss how to incorporate incremental queries over a distributed cloud infrastructure (to scale up from a single-node tool to a cluster of nodes) deployed over popular database back-ends (such as Cassandra. 4store, Neo4J, etc). We present our first benchmarking experiments with IncQuery-D to highlight that distributed incremental model queries can perform significantly better than the native query technologies of the underlying database back-end, especially, for complex queries.
Introduction to Architecture Exploration of Semiconductor, Embedded Systems, ...Deepak Shankar
- Identify design challenges, trade-offs, and exploration.
- Construct an architecture model using data available in documents, spreadsheets, existing code, datasheets, and future concepts.
- Analyze the model to determine the cause of a bottleneck or performance degradation
This document contains abstracts from 14 IEEE papers on topics related to VLSI design including network-on-chip (NoC) architectures, multipliers, and other digital circuitry. The papers propose techniques for fast and accurate NoC simulation, cognitive NoC design, packet-switched NoCs with real-time services, low power FPGA-based NoC routers, reliable router architectures, 10-port routers, concentrated mesh and torus networks, application mapping on mesh NoCs, error control in NoC switches, real-time globally asynchronous locally synchronous NoCs, high speed signed/unsigned multipliers, Vedic mathematics multipliers, low power Vedic multiplier architectures, and reduced complexity Wallace tree multipliers.
Greetings from IGeekS Technologies ….
We were humbled to receive your enquiry regarding your academic project. We assure you to give all kinds of guidance for you to successfully complete your project.
IGeekS Technologies is a company located in Bangalore, India. We have being recognized as a quality provider of hardware and software solutions for the student’s in order carry out their academic Projects. We offer academic projects at various academic levels ranging from graduates to masters (Diploma, BCA, BE, M. Tech, MCA, M. Sc (CS/IT)). As a part of the development training, we offer Projects in Embedded Systems & Software to the Engineering College students in all major disciplines.
Academic Projects
As a part of our vision to provide a field experience to young graduates, we offering academic projects to MCA/B.Tech/BE/M.Tech/BCA students. Normally our way of project guidance will start with in-depth training. Why because unless and until a student know the technology, he cannot implement a project. We designed such courses based on industry requirements.
Placements
Our support never ends with training. We are maintaining a dedicated consulting division with 5 HR executives to assist our students to find good opportunities. Once a student finishes his course and project, immediately we will collect their profiles and will contact with the companies. Since January 2010, more than 450 students got placed with the help of our quality training, project assistance and placement support.
Facilities
• Project confirmation and completion certificate.
• Project base paper, synopsis and PPT.
• In-depth training by industry experts
• Project guidance from experienced people
• Regular seminars and group discussions
• Lab facility
• Good placement assistance
• A CD which contains all the required softwares and materials.
• Lab modules with 100s of examples to improve students programming skills.
Please visit our websites for further information:-
www.makefinalyearproject.com
www.igeekstechnoloiges.com
We look forward to have you in our office for a detailed technical discussion for in-depth understanding of the base paper and synopsis. Our training methodology includes to first prepare the candidates to the relevant technology used in the selected project and then start the project implementation; this gives the candidate the pre-requisite knowledge to understand not only the project but also the code in which the project is implemented.The program concludes by issuing of project completion certificate from our organization.
We attached the proposed project titles for the academic year 2015. Find the attachment. Select the titles we will send the synopsis and base paper...If have any own topic (base paper) pls send us.we will check and confirm the implementation.
We will explain the base paper and synopsis, for technical discussion or admission contact Mr. Nandu-9590544567.
This document discusses addressing signal integrity challenges in radar and electronic warfare systems due to increasing data bus rates. It describes how high speeds can lead to signal degradation through various effects. Measurement and characterization tools are needed to help designers avoid problems and ensure signals are transmitted and received correctly. Simulation and testing of high-speed digital designs is important from early stages of development through compliance testing.
The document discusses OPNET modeling software and provides an overview of its key editors and features. It describes the project, node, process, and packet format editors. It also covers generating traffic, modeling nodes and links, communication channels, collecting statistics, and running multiple simulations while varying parameters. The document is intended as a workshop on using OPNET for network modeling and simulation.
RAMSES: Robust Analytic Models for Science at Extreme ScalesIan Foster
This document discusses the RAMSES project, which aims to develop a new science of end-to-end analytical performance modeling of science workflows in extreme-scale science environments. The RAMSES research agenda involves developing component and end-to-end models, tools to provide performance advice, data-driven estimation methods, automated experiments, and a performance database. The models will be evaluated using five challenge workflows: high-performance file transfer, diffuse scattering experimental data analysis, data-intensive distributed analytics, exascale application kernels, and in-situ analysis placement.
A Survey of Recent Advances in Network Planning/Traffic Engineering (TE) ToolsVishal Sharma, Ph.D.
Designing & managing operational IP networks is a complex, multi-dimensional
task. A fundamental problem before carriers today
is to optimize network performance by better resource allocation to traffic demands.
This requires a systematic evaluation of options, a thorough scenario analysis,
and foolproof verification of network designs, all of which are increasingly
possible only with help from automated TE and planning tools.
In the past few years, significant advances have been made in enhancing existing
tools and developing new ones that help providers rapidly identify potential
performance problems, experiment with solutions, and develop robust designs.
Several techniques from optimization theory, linear programming, and
models of effective bandwidth calculation have been incorporated in such
tools, as have detailed models of several vendor systems.
We present a comparative analysis and an overview of key features of some key
commercially available network planning/TE tools, and outline how
they could be leveraged by carrier network engineering/planning
organizations to perform detailed network analysis, proactive/reactive
TE, and network design.
We first give an overview of the architecture, design philosophy, and canonical
features of modern design tools, and then focus on new enhancements to some
popular tools
as well as key distinguishing features of some newly developed ones.
In particular, we focus on decision support tools for IP network planning
and network analysis, including the latest versions from
WANDL, OPNET, Cariden..
We also present a perspective on current outstanding carrier requirements
for TE/planning tools that was synthesized by our conversations with
several leading Tier 1 and Tier 2 carriers.
With the rapid growth of IP networks in South-Asia in the past
few years, and the advent of new services and applications -- be they
wireless/wireline broadband Internet access, cable telephony, VoIP, remote
teleconferencing, e-governance, or mobile entertainment -- a key
issue before carriers is how to design and operate their networks as
methodically and as efficiently as possible to maximize both customer
retention and profits.
While several best practices typically emerge from each provider\'s
unique situation and cumulative experience (the "art" of network design), there
are certain operational precepts that systematize and streamline the
complex, multi-dimensional task of designing and managing modern, operational
IP networks (the "science" of network design).
In this talk, we first discuss the overall network design process and the
manner in which control over the network must be exercised at varying
timescales to achieve efficient operation. Next we discuss the
functions that the operational, engineering, and planning teams at a
carrier must typically execute, their inter-relationships, and
the importance/rationale for performing them to optimize network
performance.
We then outline some network design best practices that have evolved
over the past decade, drawing upon examples of carriers such as
Sprint, Global Crossing, AT&T, NTT, and Reliance. We conclude with
a look at some automated traffic engineering and planning tools,
and how they enable carriers to rapidly identify potential
performance problems, rigorously experiment with/evaluate design
options, perform thorough scenario and network analysis, and
develop robust designs.
The document discusses using systems intelligence and artificial intelligence/neural networks to enhance semiconductor electronic design automation (EDA) workflows by collecting telemetry data from EDA jobs and infrastructure and analyzing it using complex event processing, machine learning models, and messaging substrates to provide insights that could optimize EDA pipelines and infrastructure. The approach aims to allow both internal and external augmentation of EDA processes and environments through unsupervised and incremental learning.
The document proposes an approach for identifying core designs for reconfigurable systems driven by specification self-similarity. It involves partitioning a specification's data flow graph (DFG) to identify recurrent subgraphs that can be implemented as reusable configurable modules. This is done through two phases: template identification to produce equivalence classes of isomorphic subgraphs, and graph covering to select templates for implementation. The approach was tested on real-world benchmarks, demonstrating coverage of 70-90% and runtimes of seconds to minutes. Future work includes refining template selection and online scheduling of reconfigurable cores.
Design and Implementation of JPEG CODEC using NoCIRJET Journal
This document describes the design and implementation of a JPEG codec using a Network-on-Chip (NoC) structure. It aims to speed up the image transfer process and provide shorter processing times. The key steps are:
1. The JPEG encoding process includes color space conversion, downsampling, block division, discrete cosine transform, quantization, and entropy coding to compress the image.
2. A NoC is used to transmit the compressed image data packets across the chip to reduce latency during transfer.
3. The JPEG decoding process reverses the encoding steps through entropy decoding, dequantization, inverse discrete cosine transform, and image reconstruction to decompress the image for viewing.
The document summarizes research on evaluating the performance of routing protocols (RPs) for mobile ad hoc networks (MANETs). The research involved simulating 3 RPs - AODV, DSR and OLSR - under different networking scenarios to analyze their performance. Key findings include: OLSR had the highest throughput but also the largest control overhead, making AODV better suited for environments with energy/bandwidth constraints. Varying node density, mobility and traffic loads impacted protocol performance. The research aims to validate RP features and provide guidance on protocol selection for different MANET conditions.
The document discusses how application architects traditionally focused on solving IO bottlenecks in servers by offloading processing to intelligent network interface cards. With modern distributed applications spanning thousands of servers, application architects now must consider network topology, segmentation, and control plane protocols to optimize latency and bandwidth. The rise of virtualization and cloud computing has changed traffic patterns in datacenters from north-south traffic to dominant east-west traffic between servers. This requires new datacenter fabric designs beyond the traditional three-tiered topology.
IncQuery-D: Distributed Incremental Model Queries over the Cloud: Engineerin...Daniel Varro
In model-driven software engineering (MDE), model queries are core technologies of many tool and transformation-specific challenges such as design rule validation, model synchronization, view maintenance, simulation and many more. As software models are rapidly increasing in size and complexity, traditional MDE tools frequently face scalability issues that decrease productivity of engineers and increase development costs. Incremental graph queries offer a graph pattern based language for capturing queries. Furthermore, the result set of a query is cached and incrementally maintained upon model changes to provide instantaneous query response time. In this talk, first a brief overview is given on the EMF-IncQuery framework (which is an official Eclipse subproject). Then we discuss how to incorporate incremental queries over a distributed cloud infrastructure (to scale up from a single-node tool to a cluster of nodes) deployed over popular database back-ends (such as Cassandra. 4store, Neo4J, etc). We present our first benchmarking experiments with IncQuery-D to highlight that distributed incremental model queries can perform significantly better than the native query technologies of the underlying database back-end, especially, for complex queries.
Introduction to Architecture Exploration of Semiconductor, Embedded Systems, ...Deepak Shankar
- Identify design challenges, trade-offs, and exploration.
- Construct an architecture model using data available in documents, spreadsheets, existing code, datasheets, and future concepts.
- Analyze the model to determine the cause of a bottleneck or performance degradation
This document contains abstracts from 14 IEEE papers on topics related to VLSI design including network-on-chip (NoC) architectures, multipliers, and other digital circuitry. The papers propose techniques for fast and accurate NoC simulation, cognitive NoC design, packet-switched NoCs with real-time services, low power FPGA-based NoC routers, reliable router architectures, 10-port routers, concentrated mesh and torus networks, application mapping on mesh NoCs, error control in NoC switches, real-time globally asynchronous locally synchronous NoCs, high speed signed/unsigned multipliers, Vedic mathematics multipliers, low power Vedic multiplier architectures, and reduced complexity Wallace tree multipliers.
Greetings from IGeekS Technologies ….
We were humbled to receive your enquiry regarding your academic project. We assure you to give all kinds of guidance for you to successfully complete your project.
IGeekS Technologies is a company located in Bangalore, India. We have being recognized as a quality provider of hardware and software solutions for the student’s in order carry out their academic Projects. We offer academic projects at various academic levels ranging from graduates to masters (Diploma, BCA, BE, M. Tech, MCA, M. Sc (CS/IT)). As a part of the development training, we offer Projects in Embedded Systems & Software to the Engineering College students in all major disciplines.
Academic Projects
As a part of our vision to provide a field experience to young graduates, we offering academic projects to MCA/B.Tech/BE/M.Tech/BCA students. Normally our way of project guidance will start with in-depth training. Why because unless and until a student know the technology, he cannot implement a project. We designed such courses based on industry requirements.
Placements
Our support never ends with training. We are maintaining a dedicated consulting division with 5 HR executives to assist our students to find good opportunities. Once a student finishes his course and project, immediately we will collect their profiles and will contact with the companies. Since January 2010, more than 450 students got placed with the help of our quality training, project assistance and placement support.
Facilities
• Project confirmation and completion certificate.
• Project base paper, synopsis and PPT.
• In-depth training by industry experts
• Project guidance from experienced people
• Regular seminars and group discussions
• Lab facility
• Good placement assistance
• A CD which contains all the required softwares and materials.
• Lab modules with 100s of examples to improve students programming skills.
Please visit our websites for further information:-
www.makefinalyearproject.com
www.igeekstechnoloiges.com
We look forward to have you in our office for a detailed technical discussion for in-depth understanding of the base paper and synopsis. Our training methodology includes to first prepare the candidates to the relevant technology used in the selected project and then start the project implementation; this gives the candidate the pre-requisite knowledge to understand not only the project but also the code in which the project is implemented.The program concludes by issuing of project completion certificate from our organization.
We attached the proposed project titles for the academic year 2015. Find the attachment. Select the titles we will send the synopsis and base paper...If have any own topic (base paper) pls send us.we will check and confirm the implementation.
We will explain the base paper and synopsis, for technical discussion or admission contact Mr. Nandu-9590544567.
This document discusses addressing signal integrity challenges in radar and electronic warfare systems due to increasing data bus rates. It describes how high speeds can lead to signal degradation through various effects. Measurement and characterization tools are needed to help designers avoid problems and ensure signals are transmitted and received correctly. Simulation and testing of high-speed digital designs is important from early stages of development through compliance testing.
The document discusses OPNET modeling software and provides an overview of its key editors and features. It describes the project, node, process, and packet format editors. It also covers generating traffic, modeling nodes and links, communication channels, collecting statistics, and running multiple simulations while varying parameters. The document is intended as a workshop on using OPNET for network modeling and simulation.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Optimization of Incremental Queries CloudMDE2015
1. Budapest University of Technology and Economics
Department of Measurement and Information Systems
Optimization of Incremental Queries in
the Cloud
József Makai, Gábor Szárnyas, Ákos Horváth,
István Ráth, Dániel Varró
Budapest University of Technology and Economics
Fault Tolerant Systems Research Group
3. Incremental Query Evaluation by RETE
AUTOSAR well-formedness validation rule
Communication
channel
Logical signal Mapping Physical signal
Invalid model fragment
Instance model
Valid model fragment
4. Fill the input nodesFill the worker nodesRead the result setModify the modelPropagate the changes
Read the changes in the
result set (deltas)
Incremental Query Evaluation by RETE
join
join
antijoin
Result set
Communication
channel
Logical signal Mapping Physical signal
5. Goals of IncQuery-D
Objectives
o Distributed incremental pattern matching
o Adaptation of IncQuery tooling to graph DBs
o Executed over cloud infrastructure (COTS hardware)
Achieve scalability by avoiding memory bottleneck
o Sharding separately
• Data
• Indexers
• Query network
o In memory:
• Index + Query
Assumptions
• All Rete nodes fit on a server node
• Indexers can be filled efficiently
• Modification size ≪ model size
• The application requires the complete result
set of the query (opposed to just one match)
6. Database
shard 0
INCQUERY-D Architecture
Server 1
Database
shard 1
Server 2
Database
shard 2
Server 3
Database
shard 3
Transaction
Server 0
Rete net
Indexer
layer
INCQUERY-D
Distributed query evaluation network
Distributed indexer Model access adapter
Distributed indexing,
notification
Distributed persistent
storage
Distributed production network
• Each intermediate node can be allocated
to a different host
• Remote internode communication
7. INCQUERY-D Architecture
Server 1
Database
shard 1
Server 2
Database
shard 2
Server 3
Database
shard 3
Transaction
In-memory
EMF model
Database
shard 0
Server 0
Indexer
layer
INCQUERY-D
Indexer Indexer Indexer Indexer
Join
Join
Antijoin
Akka
Triple store (4store),
Document DB (Mongo),
RDF over Column family
(Cumulus)
9. RETE Deployment Process
Construct language-
independent constraints
Resolution of
o syntactic sugar
o type information
Query
Language
Query
Predicates
RETE
Structure
Platform
Description
Allocation /
Mapping
Deployment
Descriptor
Variables route sp switch
Parameter sensor
Constraints
Edge: SwitchPosition.switch
Edge: TrackElement.sensor
Edge: Route.switchPosition
Negation: head
10. RETE Deployment Process
Construct RETE structure
(platform independently)
Optimizations:
o Model statistics
o Expected usage profile
Query
Language
Query
Predicates
RETE
Structure
Platform
Description
Allocation /
Mapping
Deployment
Descriptor
join
join
join
11. RETE Deployment Process
Architecture model
(Cloud infrastructure)
o Virtual Machines
• Memory limits
• CPU speed
• Storage capacity
o Communication Channels
• Bandwidth
Specified by a textual DSL
(Xtext)
Query
Language
Query
Predicates
RETE
Structure
Platform
Description
Allocation /
Mapping
Deployment
Descriptor
1 2
3 4
12. RETE Deployment Process
Machine Allocated Nodes
1 In1, In2, Join2
2 In3
3 In4
4 Join1, Join3
Query
Language
Query
Predicates
RETE
Structure
Platform
Description
Allocation /
Mapping
Deployment
Descriptor
1 2
3 4
Join1
Join3
Join2
In1 In2 In3 In4
Allocation can be optimized for
query performance and other
beneficial system characteristics!
13. RETE Deployment Process
Configuration scripts for
o Deployment
o Communication
middleware
Derived by automated
code generation
o Using Eclipse technology:
EMF-IncQuery + Xtend
Query
Language
Query
Predicates
RETE
Structure
Platform
Description
Allocation /
Mapping
Deployment
Descriptor
15. Motivation for Allocation Optimization
Considering data-intensive
systems
o Over usage of resources
o Cost of the system
o Overhead of network
communication
Job Job
t
Local job
execution time
t’
Data transmission time
is significant component
in global execution time
~
Job
Job
Job
Network links can have
different capacities
4000 MB
Process
2000 MB
Process
500 MB
Process
2400 MB
$$$
Poor utilization leads
to expensive system
16. The Allocation Problem
Inputs
Allocation constraints
Output: Valid allocation
Optimization targets
500 MB
3200 MB
2400 MB600 MB
Worker node
Input nodeInput node
Production node
1 2
3
4
5000 MB6000 MB
1 2
• Rete network for the query
organized to processes
• Resource consumption
Available infrastructure with
important resource parameters
17. Opt. Target: Communication Minimization
1 × 1,000,000
3 × 200,000 3 × 200,000
Communication = 2,200,000
6000 MB
5000 MB
1
2500 MB
3200 MB
2400 MB600 MB
Worker node
Input nodeInput node
Production node
1,000,000200,000
200,000
1 2
3
4
3 × 1,000,000
1 × 200,000
1 × 200,000
Communication = 3,400,000
5000 MB
6000 MB
1
2
Largest volume of data is
sent through faster local link
19. Heuristics in Optimization
Worker node
Production
node
Input node
Worker node
Input nodeInput node
Worker node
Production
node
Production
node
Worker node
Model
database
Number of model
elements
?? MB
Input node
Memory consumption of
Rete nodes and processes
1 1 1
1 1 1
1
Memory usage of Input
nodes can be estimated
Communication
intensity of network
communication
channels2 2
2
2
2 2
3 3
3
3 3
4 4
20. Performance Impact of Optimization
61K 213K 867K 3M 13M
Model size (number of elements)
Time(sec)
First evaluation time of a complex query
28
45
72
114
182
290
463
739
Max. memory
Naive
optimization
Communication
optimization
739
616
194
144
2 minutes gain!
This approach
doesn’t work for
larger models!
21. Network Traffic Statistics
300
349 371
1020
248 280
347
875
14
2
74
90
24
20
190
234
0
200
400
600
800
1000
1200
vm0 vm1 vm2 total vm0 vm1 vm2 total
Network Traffic in Megabytes
Remote Local
Unoptimized Optimized
Unoptimized:
o Remote Traffic:
1020
o Local Traffic: 90
o Total Traffic: 1110
Optimized:
o Remote Traffic:
875
o Local Traffic: 234
o Total Traffic: 1109
22. Conclusion and Future Work
Results
o Novel approach for application-specific resource allocation optimization for
distributed Rete
o CPLEX-based implementation for IncQuery-D
o Preliminary evaluation results
• Significant improvements for local resource management
• Performance gains especially over slow / inhomogeneous networks
• Efficient optimization execution (supported by runtime cutoff in CPLEX)
Future work
o Hadoop / YARN support (new IncQuery-D developments)
• Support configuration optimization for other Hadoop-based cloud apps
o Static allocation Dynamic reallocation
• Take existing configuration as a starting constraint set
• Optimize for changed workload conditions
Ez szuper jól bemutatja azokat a fogalmakat, amivel mi is dolgozunk a végén, szóval ezt hasznos lenne bemutatni.
Kulcsgondolatok:
Erőforrások túlhasználását el kell kerülni, de a rossz kihasználtság meg drága rendszerhez vezet
Adatküldés ideje jelentős összetevő a globális végrehajtási időben, hálózati linkek is különböző sebességűek lehetnek erre optimalizálunk
Ennél el kell majd mondani mit jelentenek a számok az egyes “éleken”.
Normalized tuple-t használjuk becsléshez. Egy node-nál ez következőképpen néz ki:
megnézzük mennyi adat várható bemeneti csatornákon (először input node-nál, ahol biztosan tudjuk is azt)
Abból közelítjük memória fogyasztást processeknek lineáris regresszióval
Kiszámoljuk node típusa és bemeneti adat mennyiségének függvényében a kimenő csatornákra jutó adat mennyiségét (mindegyiken ugyanannyi lesz), input node-ra ezt is tudjuk tutira, mert mindent továbbít
Ezt végezzük szintről szintre, háló szélességi bejárásával
Ezt kellene itt összefoglalni