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An Empirical Comparison of Fast and Efficient Tools for Mining Textual Datavtunali
In order to effectively manage and retrieve the information comprised in vast amount of text documents, powerful text mining tools and techniques are essential. In this paper we evaluate and compare two state-of-the-art data mining tools for clustering high-dimensional text data, Cluto and Gmeans. Several experiments were conducted on three benchmark datasets, and results are analysed in terms of clustering quality, memory and CPU time consumption. We empirically show that Gmeans offers high scalability by sacrificing clustering quality while Cluto presents better clustering quality at the expense of memory and CPU time.
I-Min: An Intelligent Fermat Point Based Energy Efficient Geographic Packet F...graphhoc
Energy consumption and delay incurred in packet delivery are the two important metrics for measuring the performance of geographic routing protocols for Wireless Adhoc and Sensor Networks (WASN). A protocol capable of ensuring both lesser energy consumption and experiencing lesser delay in packet delivery is thus suitable for networks which are delay sensitive and energy hungry at the same time. Thus a smart packet forwarding technique addressing both the issues is thus the one looked for by any geographic routing protocol. In the present paper we have proposed a Fermat point based forwarding technique which reduces the delay experienced during packet delivery as well as the energy consumed for transmission and reception of data packets.
FOLDED ARCHITECTURE FOR NON CANONICAL LEAST MEAN SQUARE ADAPTIVE DIGITAL FILT...VLSICS Design
Power consumption reduction is transpiring drift in area of VLSI digital signal processing. This gives rise
to need of minimization of silicon area which is done by folding algorithm. As silicon area decreases power
consumption of a circuit decreases. Folding is an algorithm which reduces silicon chip area by combining
various arithmetic operations into one operation by time scheduling technique. It is applied on iterative
data flow graph with appropriate folding set. Least mean square algorithm alters coefficients of Adaptive
filter in order to achieve desired output. Proposed work is focused on design of efficient VLSI architecture
for LMS adaptive filter aims at reducing mainly area which results in power consumption reduction and
hardware complexity. LMS filter structure used here is called non-canonical as transpose FIR structure is
used. Results show that numbers of adders are reduced by 37.5 % and multipliers by 33.33% without
changing characteristics of filter.
Non concave network utility maximization - A distributed optimization approachWasif Hafeez
This paper proposes an algorithm for optimal decentralized traffic engineering in communication networks. We aim at distributing the traffic among the available routes such that the network utility is maximized. In some practical applications, modeling network utility using non-concave functions is of particular interest, e.g., video streaming.
An Empirical Comparison of Fast and Efficient Tools for Mining Textual Datavtunali
In order to effectively manage and retrieve the information comprised in vast amount of text documents, powerful text mining tools and techniques are essential. In this paper we evaluate and compare two state-of-the-art data mining tools for clustering high-dimensional text data, Cluto and Gmeans. Several experiments were conducted on three benchmark datasets, and results are analysed in terms of clustering quality, memory and CPU time consumption. We empirically show that Gmeans offers high scalability by sacrificing clustering quality while Cluto presents better clustering quality at the expense of memory and CPU time.
I-Min: An Intelligent Fermat Point Based Energy Efficient Geographic Packet F...graphhoc
Energy consumption and delay incurred in packet delivery are the two important metrics for measuring the performance of geographic routing protocols for Wireless Adhoc and Sensor Networks (WASN). A protocol capable of ensuring both lesser energy consumption and experiencing lesser delay in packet delivery is thus suitable for networks which are delay sensitive and energy hungry at the same time. Thus a smart packet forwarding technique addressing both the issues is thus the one looked for by any geographic routing protocol. In the present paper we have proposed a Fermat point based forwarding technique which reduces the delay experienced during packet delivery as well as the energy consumed for transmission and reception of data packets.
FOLDED ARCHITECTURE FOR NON CANONICAL LEAST MEAN SQUARE ADAPTIVE DIGITAL FILT...VLSICS Design
Power consumption reduction is transpiring drift in area of VLSI digital signal processing. This gives rise
to need of minimization of silicon area which is done by folding algorithm. As silicon area decreases power
consumption of a circuit decreases. Folding is an algorithm which reduces silicon chip area by combining
various arithmetic operations into one operation by time scheduling technique. It is applied on iterative
data flow graph with appropriate folding set. Least mean square algorithm alters coefficients of Adaptive
filter in order to achieve desired output. Proposed work is focused on design of efficient VLSI architecture
for LMS adaptive filter aims at reducing mainly area which results in power consumption reduction and
hardware complexity. LMS filter structure used here is called non-canonical as transpose FIR structure is
used. Results show that numbers of adders are reduced by 37.5 % and multipliers by 33.33% without
changing characteristics of filter.
Non concave network utility maximization - A distributed optimization approachWasif Hafeez
This paper proposes an algorithm for optimal decentralized traffic engineering in communication networks. We aim at distributing the traffic among the available routes such that the network utility is maximized. In some practical applications, modeling network utility using non-concave functions is of particular interest, e.g., video streaming.
Performance evaluation of hierarchical clustering protocols with fuzzy C-means IJECEIAES
The longevity of the network and the lack of resources are the main problems within the WSN. Minimizing energy dissipation and optimizing the lifespan of the WSN network are real challenges in the design of WSN routing protocols. Load balanced clustering increases the reliability of the system and enhances coordination between different nodes within the network. WSN is one of the main technologies dedicated to the detection, sensing, and monitoring of physical phenomena of the environment. For illustration, detection, and measurement of vibration, pressure, temperature, and sound. The WSN can be integrated into many domains, like street parking systems, smart roads, and industrial. This paper examines the efficiency of our two proposed clustering algorithms: Fuzzy C-means based hierarchical routing approach for homogeneous WSN (F-LEACH) and fuzzy distributed energy efficient clustering algorithm (F-DEEC) through a detailed comparison of WSN performance parameters such as the instability and stability duration, lifetime of the network, number of cluster heads per round and the number of alive nodes. The fuzzy C-means based on hierarchical routing approach is based on fuzzy C-means and low-energy adaptive clustering hierarchy (LEACH) protocol. The fuzzy distributed energy efficient clustering algorithm is based on fuzzy C-means and design of a distributed energy efficient clustering (DEEC) protocol. The technical capability of each protocol is measured according to the studied parameters.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This is my presentation, explaining the energy and carbon efficient algorithm presented in the conference paper published by the CLOUDS research lab, who developed the cloud simulator - CloudSim.
A resource allocation scheme for scalable video multicast in wi max relay net...ecway
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The Wireless sensor networks (WSN) consisting of a large number of sensors that are effective for gathering data
in a variety of environments, as the sensor operate on battery which is of limited power. To support high scalability and better data aggregation in fixed base station communication, sensor nodes are often grouped into disjoint, non overlapping subsets called clusters. Clusters create hierarchical WSN which incorporate efficient utilization of limited resources of sensor nodes. These clusters are formed by specialized cells. Each cluster is managed by a special node called cluster head and advanced node. An algorithm for better cluster head selection
based on the node energy and the distance from base station to the cluster head for the efficient transmission and to reduce energy consumption by the sensor nodes is proposed in this paper. And the same algorithm is compared with the LEACH algorithm in terms of energy consumption.
A Study of Virtual Machine Placement Optimization in Data Centers (CLOSER'2017)Stéphanie Challita
In recent years, cloud computing has shown a valuable way for accommodating and providing services over the Internet such that data centers rely increasingly on this platform to host a large amount of applications (web hosting, e-commerce, social networking, etc.). Thus, the utilization of servers in most data centers can be improved by adding virtualization and selecting the most suitable host for each Virtual Machine (VM).
The problem of VM placement is an optimization problem aiming for multiple goals. It can be covered through various approaches. Each approach aims to simultaneously reduce power consumption, maximize resource utilization and avoid traffic congestion. The main goal of this literature survey is to provide a better understanding of existing approaches and algorithms that ensure better VM placement in the context of cloud computing and to identify future directions.
Review on Implementation of Fir Adaptive Filter Using Distributed Arithmatic...IJMER
Adaptive filters play very important role in signal processing application. There are several
algorithms for implementation of filters such as Least mean square (LMS), Recursive least square (RLS),
etc. The LMS algorithm is the most efficient algorithm for implementation of FIR adaptive filters. RLS
algorithm gives faster convergence as compared to LMS but the computational complexity is high in case
of RLS. An effective distributed arithmetic can be used to implement the block least mean square
algorithm (BLMS). The DA based structure uses a LUT sharing scheme to calculate the filter output and
weight increment terms of BLMS algorithm. The structure can save a number of adders. This paper
presents a literature review on the different algorithms used for implementation of FIR adaptive filters
and implementation of filters using distributed arithmetic and block LMS algorithm.
ENSURING QOS GUARANTEES IN A HYBRID OCS/OBS NETWORKijngnjournal
The bursting aggregation assembly in edge nodes is one of the key technologies in OBS (Optical Burst Switching) network, which has a direct impact on flow characteristics and packet loss rate. An optical burst assembly technique supporting QoS is presented through this paper, which can automatically adjust the threshold along with the increasing and decreasing volume of business, reduce the operational burst, and generate corresponding BDP (Burst Data Packet) and BCP (Burst Control Packet). In addition to the burst aggregation technique a packet recovery technique by restoration method is also described. The data packet loss due to the physical optical link failure is not currently included in the QoS descriptions. This link failure is also a severe problem which reduces the data throughput of the transmitter node. A mechanism for data recovery from this link failure is vital for guaranteeing the QoS demanded by each user. So this paper will also discusses a specific protocol for reducing the packet loss by utilizing the
features of both optical circuit switching (OCS) and Optical Burst switching (OBS) techniques
Enforcing end to-end proportional fairness with bounded buffer overflow proba...ijwmn
In this paper, we present a distributed flow-based
access scheme for slotted-time protocols, that prov
ides
proportional fairness in ad-hoc wireless networks u
nder constraints on the buffer overflow probabiliti
es at
each node. The proposed scheme requires local infor
mation exchange at the link-layer and end-to-end
information exchange at the transport-layer, and is
cast as a nonlinear program. A medium access contr
ol
protocol is said to be proportionally fair with res
pect to individual end-to-end flows in a network, i
f the
product of the end-to-end flow rates is maximized.
A key contribution of this work lies in the constru
ction of
a distributed dual approach that comes with low com
putational overhead. We discuss the convergence
properties of the proposed scheme and present simul
ation results to support our conclusions.
Performance evaluation of hierarchical clustering protocols with fuzzy C-means IJECEIAES
The longevity of the network and the lack of resources are the main problems within the WSN. Minimizing energy dissipation and optimizing the lifespan of the WSN network are real challenges in the design of WSN routing protocols. Load balanced clustering increases the reliability of the system and enhances coordination between different nodes within the network. WSN is one of the main technologies dedicated to the detection, sensing, and monitoring of physical phenomena of the environment. For illustration, detection, and measurement of vibration, pressure, temperature, and sound. The WSN can be integrated into many domains, like street parking systems, smart roads, and industrial. This paper examines the efficiency of our two proposed clustering algorithms: Fuzzy C-means based hierarchical routing approach for homogeneous WSN (F-LEACH) and fuzzy distributed energy efficient clustering algorithm (F-DEEC) through a detailed comparison of WSN performance parameters such as the instability and stability duration, lifetime of the network, number of cluster heads per round and the number of alive nodes. The fuzzy C-means based on hierarchical routing approach is based on fuzzy C-means and low-energy adaptive clustering hierarchy (LEACH) protocol. The fuzzy distributed energy efficient clustering algorithm is based on fuzzy C-means and design of a distributed energy efficient clustering (DEEC) protocol. The technical capability of each protocol is measured according to the studied parameters.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This is my presentation, explaining the energy and carbon efficient algorithm presented in the conference paper published by the CLOUDS research lab, who developed the cloud simulator - CloudSim.
A resource allocation scheme for scalable video multicast in wi max relay net...ecway
Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE JAVA, .NET Projects, 2013 IEEE JAVA, .NET Projects, 2013 IEEE JAVA, .NET Projects in Chennai, 2013 IEEE JAVA, .NET Projects in Trichy, 2013 IEEE JAVA, .NET Projects in Karur, 2013 IEEE JAVA, .NET Projects in Erode, 2013 IEEE JAVA, .NET Projects in Madurai, 2013 IEEE JAVA, .NET Projects in Salem, 2013 IEEE JAVA, .NET Projects in Coimbatore, 2013 IEEE JAVA, .NET Projects in Tirupur, 2013 IEEE JAVA, .NET Projects in Bangalore, 2013 IEEE JAVA, .NET Projects in Hydrabad, 2013 IEEE JAVA, .NET Projects in Kerala, 2013 IEEE JAVA, .NET Projects in Namakkal, IEEE JAVA, .NET Image Processing, IEEE JAVA, .NET Face Recognition, IEEE JAVA, .NET Face Detection, IEEE JAVA, .NET Brain Tumour, IEEE JAVA, .NET Iris Recognition, IEEE JAVA, .NET Image Segmentation, Final Year JAVA, .NET Projects in Pondichery, Final Year JAVA, .NET Projects in Tamilnadu, Final Year JAVA, .NET Projects in Chennai, Final Year JAVA, .NET Projects in Trichy, Final Year JAVA, .NET Projects in Erode, Final Year JAVA, .NET Projects in Karur, Final Year JAVA, .NET Projects in Coimbatore, Final Year JAVA, .NET Projects in Tirunelveli, Final Year JAVA, .NET Projects in Madurai, Final Year JAVA, .NET Projects in Salem, Final Year JAVA, .NET Projects in Tirupur, Final Year JAVA, .NET Projects in Namakkal, Final Year JAVA, .NET Projects in Tanjore, Final Year JAVA, .NET Projects in Coimbatore, Final Year JAVA, .NET Projects in Bangalore, Final Year JAVA, .NET Projects in Hydrabad, Final Year JAVA, .NET Projects in Kerala, Final Year JAVA, .NET IEEE Projects in Pondichery, Final Year JAVA, .NET IEEE Projects in Tamilnadu, Final Year JAVA, .NET IEEE Projects in Chennai, Final Year JAVA, .NET IEEE Projects in Trichy, Final Year JAVA, .NET IEEE Projects in Erode, Final Year JAVA, .NET IEEE Projects in Karur, Final Year JAVA, .NET IEEE Projects in Coimbatore, Final Year JAVA, .NET IEEE Projects in Tirunelveli, Final Year JAVA, .NET IEEE Projects in Madurai, Final Year JAVA, .NET IEEE Projects in Salem, Final Year JAVA, .NET IEEE Projects in Tirupur, Final Year JAVA, .NET IEEE Projects in Namakkal, Final Year JAVA, .NET IEEE Projects in Tanjore, Final Year JAVA, .NET IEEE Projects in Coimbatore, Final Year JAVA, .NET IEEE Projects in Bangalore, Final Year JAVA, .NET IEEE Projects in Hydrabad, Final Year JAVA, .NET IEEE Projects in Kerala, Final Year IEEE MATLAB Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE MATLAB Projects, Academic Final Year IEEE MATLAB Projects 2013, Academic Final Year IEEE MATLAB Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB
The Wireless sensor networks (WSN) consisting of a large number of sensors that are effective for gathering data
in a variety of environments, as the sensor operate on battery which is of limited power. To support high scalability and better data aggregation in fixed base station communication, sensor nodes are often grouped into disjoint, non overlapping subsets called clusters. Clusters create hierarchical WSN which incorporate efficient utilization of limited resources of sensor nodes. These clusters are formed by specialized cells. Each cluster is managed by a special node called cluster head and advanced node. An algorithm for better cluster head selection
based on the node energy and the distance from base station to the cluster head for the efficient transmission and to reduce energy consumption by the sensor nodes is proposed in this paper. And the same algorithm is compared with the LEACH algorithm in terms of energy consumption.
A Study of Virtual Machine Placement Optimization in Data Centers (CLOSER'2017)Stéphanie Challita
In recent years, cloud computing has shown a valuable way for accommodating and providing services over the Internet such that data centers rely increasingly on this platform to host a large amount of applications (web hosting, e-commerce, social networking, etc.). Thus, the utilization of servers in most data centers can be improved by adding virtualization and selecting the most suitable host for each Virtual Machine (VM).
The problem of VM placement is an optimization problem aiming for multiple goals. It can be covered through various approaches. Each approach aims to simultaneously reduce power consumption, maximize resource utilization and avoid traffic congestion. The main goal of this literature survey is to provide a better understanding of existing approaches and algorithms that ensure better VM placement in the context of cloud computing and to identify future directions.
Review on Implementation of Fir Adaptive Filter Using Distributed Arithmatic...IJMER
Adaptive filters play very important role in signal processing application. There are several
algorithms for implementation of filters such as Least mean square (LMS), Recursive least square (RLS),
etc. The LMS algorithm is the most efficient algorithm for implementation of FIR adaptive filters. RLS
algorithm gives faster convergence as compared to LMS but the computational complexity is high in case
of RLS. An effective distributed arithmetic can be used to implement the block least mean square
algorithm (BLMS). The DA based structure uses a LUT sharing scheme to calculate the filter output and
weight increment terms of BLMS algorithm. The structure can save a number of adders. This paper
presents a literature review on the different algorithms used for implementation of FIR adaptive filters
and implementation of filters using distributed arithmetic and block LMS algorithm.
ENSURING QOS GUARANTEES IN A HYBRID OCS/OBS NETWORKijngnjournal
The bursting aggregation assembly in edge nodes is one of the key technologies in OBS (Optical Burst Switching) network, which has a direct impact on flow characteristics and packet loss rate. An optical burst assembly technique supporting QoS is presented through this paper, which can automatically adjust the threshold along with the increasing and decreasing volume of business, reduce the operational burst, and generate corresponding BDP (Burst Data Packet) and BCP (Burst Control Packet). In addition to the burst aggregation technique a packet recovery technique by restoration method is also described. The data packet loss due to the physical optical link failure is not currently included in the QoS descriptions. This link failure is also a severe problem which reduces the data throughput of the transmitter node. A mechanism for data recovery from this link failure is vital for guaranteeing the QoS demanded by each user. So this paper will also discusses a specific protocol for reducing the packet loss by utilizing the
features of both optical circuit switching (OCS) and Optical Burst switching (OBS) techniques
Enforcing end to-end proportional fairness with bounded buffer overflow proba...ijwmn
In this paper, we present a distributed flow-based
access scheme for slotted-time protocols, that prov
ides
proportional fairness in ad-hoc wireless networks u
nder constraints on the buffer overflow probabiliti
es at
each node. The proposed scheme requires local infor
mation exchange at the link-layer and end-to-end
information exchange at the transport-layer, and is
cast as a nonlinear program. A medium access contr
ol
protocol is said to be proportionally fair with res
pect to individual end-to-end flows in a network, i
f the
product of the end-to-end flow rates is maximized.
A key contribution of this work lies in the constru
ction of
a distributed dual approach that comes with low com
putational overhead. We discuss the convergence
properties of the proposed scheme and present simul
ation results to support our conclusions.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
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IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS Streaming applications on bus ba...IEEEMEMTECHSTUDENTPROJECTS
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A Bandwidth Efficient Scheduling Framework for Non Real Time Applications in ...ijdpsjournal
The key concern on the bandwidth allocation and scheduling for non real time traffic are the fulfillment of its minimum throughput requirement and improvement of bandwidth utilization with acceptable delay. This paper proposes a simple and efficient scheduling framework for allocating bandwidth to non real time
polling service (nrtPS) users in IEEE 802.16 networks. In this framework, jointly selective repeat ARQ at the MAC layer and adaptive modulation and coding techniques at the physical are considered. Numerical simulations demonstrate that the proposed scheduling approach provides a graceful compromise between bandwidth utilization and packet delivery delay while maintaining the minimum throughput requirements of nrtPS applications. Thus proves the efficiency of the proposed framework. The simulation is done for unicast scenario.
In this paper, we have proposed a hybrid push-pull protocol for peer-to-peer live video streaming. The
main goal of this research is to minimize the network end-to-end delay in comparison to pure mesh
networks. Hybrid protocols, in most cases, suffer from complex construction and maintenance. Therefore,
our proposed protocol uses a pure mesh topology and a single layer video coding. In summary, our pushpull
protocol has two parts. The pull-based part which is done on the mesh network, and the push-based
part which consists of two phases: parent selection and tree construction. When a push procedure appears,
it is very important to prevent data redundancy. To satisfy this condition, we have introduced a parent
selection method. In this method, by parent selection based on the minimum arrival time, the most stable
node will be selected. This node has the advantage of maximizing the expected service time of the tree.
Using this method, there is no need for maintaining any extra information and topology control data.
Finally, we do performance evaluation using OMNeT++ simulator. The simulation results show that the
proposed architecture has better performance in start-up delay, end-to-end delay, and distortion than pure
mesh-based network.
Resource Allocation in MIMO – OFDM Communication System under Signal Strength...Kumar Goud
Abstract: - Multiple Inputs and Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) system have the potential to attain high capability on the propagation setting. The aim of this paper is that the adaptive resource allocation in MIMO-OFDM system uses the water filling formula. Water filling answer is enforced for allocating the ability so as to extend the data rate. The overall system capability is maximised subject to the constraints on total power, signal to noise quantitative relation, and proportionality. Channel is assumed as a flat attenuation channel and therefore the comparison is created for various 2×2, 2×3, 3×2 and 4×4 MIMO-OFDM systems and water filling formula with allotted power. Supported the capability contribution from the relaying terminal, a brand new parameter referred to as cooperation constant is introduced as an operate of the relaying sub channel. This parameter is employed to switch the target parameter of the subcarrier allocation procedure. Fairness-oriented [Fading Channel] and throughput-oriented [Near finish Channel] algorithms square measure elite from the literature to check the planned technique. Each algorithms square measure changed to use the mean of cooperation constant within the objective parameter of the subcarrier allocation procedure and shown to own a much better total turnout with none sacrifice.
Keywords - MIMO-OFDM; Water filling Algorithm; Subcarrier Resource Allocation
A Fair and Efficient Packet Scheduling Scheme for IEEE 802.16 Broadband Wirel...ijasuc
This paper proposes a fair and efficient QoS scheduling scheme for IEEE 802.16 BWA systems that
satisfies both throughput and delay guarantee to various real and non-real time applications. The proposed
QoS scheduling scheme is compared with an existing QoS scheduling scheme proposed in literature in
recent past. Simulation results show that the proposed scheduling scheme can provide a tight QoS
guarantee in terms of delay, delay violation rate and throughput for all types of traffic as defined in the
WiMAX standard, thereby maintaining the fairness and helps to eliminate starvation of lower priority
class services. Bandwidth utilization of the system and fairness index of the resources are also
encountered to validate the QoS provided by our proposed scheduling scheme.
REDUCTION OF BUS TRANSITION FOR COMPRESSED CODE SYSTEMSVLSICS Design
Low power VLSI circuit design is one of the most important issues in present day technology. One of the ways of reducing power is to reduce the number of transitions on the bus. The main focus here is to present a method for reducing the power consumption of compressed-code systems by inverting the bits that are transmitted on the bus. Compression will generally increase bit-toggling, as it removes redundancies from the code transmitted on the bus. Arithmetic coding technique is used for compression /decompression and bit-toggling reduction is done by using shift invert coding technique. Therefore, there is also an additional challenge, to find the right balance between compression ratio and the bit-toggling reduction. This technique requires only 2 extra bits for the low Power coding, irrespective of the bit-width of the bus for compressed data.
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Talhunt is a leader in assisting and executing IEEE Engineering projects to Engineering students - run by young and dynamic IT entrepreneurs. Our primary motto is to help Engineering graduates in IT and Computer science department to implement their final year project with first-class technical and academic assistance.
Project assistance is provided by 15+ years experienced IT Professionals. Over 100+ IEEE 2015 and 200+ yester year IEEE project titles are available with us. Projects are based on Software Development Life-Cycle (SDLC) model.
Centrality-Based Network Coder Placement For Peer-To-Peer Content DistributionIJCNCJournal
Network coding has been shown to achieve optimal multicast throughput, yet at an expensive computation
cost: every node in the network has to code. Interested in minimizing resource consumption of network
coding while maintaining its performance, in this paper, we propose a practical network coder placement
algorithm which achieves comparable content distribution time as network coding, and at the same time,
substantially reduces the number of network coders compared to a full network coding solution in which all
peers have to encode, i.e. become encoders. Our algorithm is derived from two key elements. First, it is
based on the insight that coding at upstream peers eliminates information duplication to downstream peers,
which results in efficient content distribution. Second, our placement strategy exploits centrality
characteristics of the network topology to quickly determine key positions to place encoders. Performance
evaluation using various topology and algorithm parameters confirms the effectiveness of our proposed
method.
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Similar to IEEE 2014 NS2 NETWORKING PROJECTS Proportional fair coding for wireless mesh networks (20)
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IEEE 2014 NS2 NETWORKING PROJECTS Optical networking with variable code-rate...IEEEBEBTECHSTUDENTPROJECTS
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IEEE 2014 NS2 NETWORKING PROJECTS Distributed detection in mobile access wir...IEEEBEBTECHSTUDENTPROJECTS
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IEEE 2014 NS2 NETWORKING PROJECTS Discount counting for fast flow statistics...IEEEBEBTECHSTUDENTPROJECTS
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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
IEEE 2014 NS2 NETWORKING PROJECTS Algorithms for enhanced inter cell interfe...IEEEBEBTECHSTUDENTPROJECTS
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
1. GLOBALSOFT TECHNOLOGIES
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Proportional Fair Coding for Wireless Mesh Networks
We consider multihop wireless networks carrying unicast flows for multiple users. Each flow has
a specified delay deadline, and the lossy wireless links are modeled as binary symmetric
channels (BSCs). Since transmission time, also called airtime, on the links is shared among
flows, increasing the airtime for one flow comes at the cost of reducing the airtime available to
other flows sharing the same link. We derive the joint allocation of flow airtimes and coding
rates that achieves the proportionally fair throughput allocation. This utility optimization
problem is nonconvex, and one of the technical contributions of this paper is to show that the
proportional fair utility optimization can nevertheless be decomposed into a sequence of convex
optimization problems. The solution to this sequence of convex problems is the unique solution
to the original nonconvex optimization. Surprisingly, this solution can be written in an explicit
form that yields considerable insight into the nature of the proportional fair jo int airtime/coding
rate allocation. To our knowledge, this is the first time that the utility fair joint allocation of
airtime/coding rate has been analyzed, and also one of the first times that utility fairness with
delay deadlines has been considered.
Existing System
We consider multihop wireless networks carrying unicast flows for multiple users. Each flow has
a specified delay deadline, and the lossy wireless links are modeled as binary symmetric
channels (BSCs). Since transmission time, also called airtime, on the links is shared among
flows, increasing the airtime for one flow comes at the cost of reducing the airtime available to
2. other flows sharing the same link. We derive the joint allocation of flow airtimes and coding
rates that achieves the proportionally fair throughput allocation.
Proposed System
This utility optimization problem is nonconvex, and one of the technical contributions of this
paper is to show that the proportional fair utility optimization can nevertheless be decomposed
into a sequence of convex optimization problems. The solution to this sequence of convex
problems is the unique solution to the original nonconvex optimization. Surprisingly, this
solution can be written in an explicit form that yields considerable insight into the nature of the
proportional fair joint airtime/coding rate allocation. To our knowledge, this is the first time that
the utility fair joint allocation of airtime/coding rate has been analyzed, and also one of the first
times that utility fairness with delay deadlines has been considered.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
Processor - Pentium –IV
Speed - 1.1 Ghz
RAM - 256 MB(min)
Hard Disk - 20 GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
3. SOFTWARE CONFIGURATION:-
Operating System : Windows XP
Programming Language : JAVA
Java Version : JDK 1.6 & above.