The document proposes a scalable and efficient location database architecture for future mobile networks based on location-independent personal telecommunication numbers (PTNs). The proposed multi-tree database architecture consists of multiple database subsystems, each with a three-level tree structure connected only through the root. This architecture reduces database loads and signaling traffic by exploiting localized calling and mobility patterns. Two memory-resident indices are also proposed to further improve throughput. Analysis shows the architecture can effectively support high user densities in future mobile networks.
An elastic , effective, activety or intelligent ,graceful networking architecture layout be desired to make processing massive data. next to that ,existent network architectures be considerably incapable for
cleatting the huge data. massive data thrusts network exchequers into border it consequence with in network overcrowding ,needy achievement, then permicious employer exprtises. this offered the current state-of-the-art research affronts ,potential solutions into huge data networking notion. More specifically, present the state of networking problems into massive data connected intrequirements,capacity,running ,
data manipulating also will introduce the architectures of MapReduce , Hadoop paradigm within research
requirements, fabric networks and software defined networks which utilizized into making today’s idly growing digital world and compare and contrast into identify relevant drawbacks and solutions.
An Exploration of Grid Computing to be Utilized in Teaching and Research at TUEswar Publications
Taiz University (TU) has a hundreds of computing resources on different campuses for use in areas from offices work to general access student labs. However, these resources are not used to their full potential. Grid computing is a technology that is capable to unify these resources and utilize them in very significant way. The difficulties of funding a complete grid computing environment and also, the difficulties of grid tools makes teachers and researchers in TU unable to involve in teaching and research in grid computing or in distributed computing. These problems raised up our awareness to mitigate this problem by build a simple environment for Grid
computing from resources are available in TU and the built environment we can use it for teaching and research.
The objective of this paper is to build, implement and testing a grid computing environment (Globus Toolkit). To achieving this objective we built the hardware and software parts, and configured several basic grid services commands line and web portal. The test result for basic grid services have been indicated that our proposed grid computing model is promising and can use in teaching and research in TU. The paper takes a look at how grid computing is realizing this aim and have created unbelievable opportunities for students, teachers and
researchers at TU in addition the result of this paper will make TU a pilot to the other universities in whole Yemen in field of Grid and distributing computing.
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
Unstructured multidimensional array multimedia retrival model based xml databaseeSAT Journals
Abstract Unstructured Data derived from the thought of data warehouse, data cube and xml, this paper presents a new database structure model which organizes the unstructured data in a multidimensional data cube based on XML Database. In this data cube of XML, clustered data are stored in instance table. A leading data corresponding are stored in dimension table. The relational model is helpful to construct data model, but it lacks flexibility, now the new data model can complement the defect of relational model. When querying, a leading data is gained from dimension table of XML then receiving the unstructured data through XQuery. Thus we increase the flexibility of XML database. Keywords: XML, multimedia, Multi-dimension, Database, Retrieval Model, multidimensional array, unstructured data.
In distributed systems,to search out information is costly task because they have to be compel led to transfer information from node containing information to the node wherever query is generated,this will l consume latency,network traffic etc.For reducing these parameters mobile agents are accustomed fetch information from nodes wherever i nformation resides. Alongside mobile agents directory containing information concerning database kept on completely different nodes is employed to focus retrieval method solely to those nodes that are containing answers to the query. 3 kinds of agents area unit accustomed fetch data specifically ly coordi nator,search and local agent.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Learn how you can export tables and data from PDFs to Excel; https://nanonets.com/blog/pdf-to-excel/
PDF to CSV converter - https://nanonets.com/convert-pdf-to-csv
PDF to Excel converter - https://nanonets.com/tools/pdf-to-excel
An elastic , effective, activety or intelligent ,graceful networking architecture layout be desired to make processing massive data. next to that ,existent network architectures be considerably incapable for
cleatting the huge data. massive data thrusts network exchequers into border it consequence with in network overcrowding ,needy achievement, then permicious employer exprtises. this offered the current state-of-the-art research affronts ,potential solutions into huge data networking notion. More specifically, present the state of networking problems into massive data connected intrequirements,capacity,running ,
data manipulating also will introduce the architectures of MapReduce , Hadoop paradigm within research
requirements, fabric networks and software defined networks which utilizized into making today’s idly growing digital world and compare and contrast into identify relevant drawbacks and solutions.
An Exploration of Grid Computing to be Utilized in Teaching and Research at TUEswar Publications
Taiz University (TU) has a hundreds of computing resources on different campuses for use in areas from offices work to general access student labs. However, these resources are not used to their full potential. Grid computing is a technology that is capable to unify these resources and utilize them in very significant way. The difficulties of funding a complete grid computing environment and also, the difficulties of grid tools makes teachers and researchers in TU unable to involve in teaching and research in grid computing or in distributed computing. These problems raised up our awareness to mitigate this problem by build a simple environment for Grid
computing from resources are available in TU and the built environment we can use it for teaching and research.
The objective of this paper is to build, implement and testing a grid computing environment (Globus Toolkit). To achieving this objective we built the hardware and software parts, and configured several basic grid services commands line and web portal. The test result for basic grid services have been indicated that our proposed grid computing model is promising and can use in teaching and research in TU. The paper takes a look at how grid computing is realizing this aim and have created unbelievable opportunities for students, teachers and
researchers at TU in addition the result of this paper will make TU a pilot to the other universities in whole Yemen in field of Grid and distributing computing.
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
Unstructured multidimensional array multimedia retrival model based xml databaseeSAT Journals
Abstract Unstructured Data derived from the thought of data warehouse, data cube and xml, this paper presents a new database structure model which organizes the unstructured data in a multidimensional data cube based on XML Database. In this data cube of XML, clustered data are stored in instance table. A leading data corresponding are stored in dimension table. The relational model is helpful to construct data model, but it lacks flexibility, now the new data model can complement the defect of relational model. When querying, a leading data is gained from dimension table of XML then receiving the unstructured data through XQuery. Thus we increase the flexibility of XML database. Keywords: XML, multimedia, Multi-dimension, Database, Retrieval Model, multidimensional array, unstructured data.
In distributed systems,to search out information is costly task because they have to be compel led to transfer information from node containing information to the node wherever query is generated,this will l consume latency,network traffic etc.For reducing these parameters mobile agents are accustomed fetch information from nodes wherever i nformation resides. Alongside mobile agents directory containing information concerning database kept on completely different nodes is employed to focus retrieval method solely to those nodes that are containing answers to the query. 3 kinds of agents area unit accustomed fetch data specifically ly coordi nator,search and local agent.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Learn how you can export tables and data from PDFs to Excel; https://nanonets.com/blog/pdf-to-excel/
PDF to CSV converter - https://nanonets.com/convert-pdf-to-csv
PDF to Excel converter - https://nanonets.com/tools/pdf-to-excel
A Survey on Graph Database Management Techniques for Huge Unstructured Data IJECEIAES
Data analysis, data management, and big data play a major role in both social and business perspective, in the last decade. Nowadays, the graph database is the hottest and trending research topic. A graph database is preferred to deal with the dynamic and complex relationships in connected data and offer better results. Every data element is represented as a node. For example, in social media site, a person is represented as a node, and its properties name, age, likes, and dislikes, etc and the nodes are connected with the relationships via edges. Use of graph database is expected to be beneficial in business, and social networking sites that generate huge unstructured data as that Big Data requires proper and efficient computational techniques to handle with. This paper reviews the existing graph data computational techniques and the research work, to offer the future research line up in graph database management.
A Survey of Machine Learning Techniques for Self-tuning Hadoop Performance IJECEIAES
The Apache Hadoop framework is an open source implementation of MapReduce for processing and storing big data. However, to get the best performance from this is a big challenge because of its large number configuration parameters. In this paper, the concept of critical issues of Hadoop system, big data and machine learning have been highlighted and an analysis of some machine learning techniques applied so far, for improving the Hadoop performance is presented. Then, a promising machine learning technique using deep learning algorithm is proposed for Hadoop system performance improvement.
The huge volume of text documents available on the internet has made it difficult to find valuable
information for specific users. In fact, the need for efficient applications to extract interested knowledge
from textual documents is vitally important. This paper addresses the problem of responding to user
queries by fetching the most relevant documents from a clustered set of documents. For this purpose, a
cluster-based information retrieval framework was proposed in this paper, in order to design and develop
a system for analysing and extracting useful patterns from text documents. In this approach, a pre-
processing step is first performed to find frequent and high-utility patterns in the data set. Then a Vector
Space Model (VSM) is performed to represent the dataset. The system was implemented through two main
phases. In phase 1, the clustering analysis process is designed and implemented to group documents into
several clusters, while in phase 2, an information retrieval process was implemented to rank clusters
according to the user queries in order to retrieve the relevant documents from specific clusters deemed
relevant to the query. Then the results are evaluated according to evaluation criteria. Recall and Precision
(P@5, P@10) of the retrieved results. P@5 was 0.660 and P@10 was 0.655.
Here’s a quick introduction to zonal OCR & its template-based applications. Find out how zonal OCR can automate manual document processing workflows. Zonal OCR is useful when specific parts of a document must be preferentially or “zonally” extracted.
https://nanonets.com/blog/zonal-ocr/
Here's an alternate version: https://medium.com/nanonets/zonal-ocr-automating-data-extraction-4a189b62d5dd
Managing Big data using Hadoop Map Reduce in Telecom DomainAM Publications
Map reduce is a programming model for analysing and processing large massive data sets. Apache Hadoop is an efficient frame work and the most popular implementation of the map reduce model. Hadoop’s success has motivated research interest and has led to different modifications as well as extensions to framework. In this paper, the challenges faced in different domains like data storage, analytics, online processing and privacy/ security issues while handling big data are explored. Also, the various possible solutions with respect to Telecom domain with Hadoop Map reduce implementation is discussed in this paper.
The technology of object oriented databases was introduced to system developers in
the late 1980’s. Object DBMSs add database functionality to object programming languages. A
major benefit of this approach is the unification of the application and database development into
a seamless data model and language environment. As a result, applications require less code, use
more natural data modeling, and code bases are easier to maintain.
A Comparative Study: Taxonomy of High Performance Computing (HPC) IJECEIAES
The computer technologies have rapidly developed in both software and hardware field. The complexity of software is increasing as per the market demand because the manual systems are going to become automation as well as the cost of hardware is decreasing. High Performance Computing (HPC) is very demanding technology and an attractive area of computing due to huge data processing in many applications of computing. The paper focus upon different applications of HPC and the types of HPC such as Cluster Computing, Grid Computing and Cloud Computing. It also studies, different classifications and applications of above types of HPC. All these types of HPC are demanding area of computer science. This paper also done comparative study of grid, cloud and cluster computing based on benefits, drawbacks, key areas of research, characterstics, issues and challenges.
A Web Extraction Using Soft Algorithm for Trinity Structureiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Performing initiative data prefetchingKamal Spring
Abstract—This paper presents an initiative data prefetching scheme on the storage servers in distributed file systems for cloud
computing. In this prefetching technique, the client machines are not substantially involved in the process of data prefetching, but the
storage servers can directly prefetch the data after analyzing the history of disk I/O access events, and then send the prefetched data
to the relevant client machines proactively. To put this technique to work, the information about client nodes is piggybacked onto the
real client I/O requests, and then forwarded to the relevant storage server. Next, two prediction algorithms have been proposed to
forecast future block access operations for directing what data should be fetched on storage servers in advance. Finally, the prefetched
data can be pushed to the relevant client machine from the storage server. Through a series of evaluation experiments with a
collection of application benchmarks, we have demonstrated that our presented initiative prefetching technique can benefit distributed
file systems for cloud environments to achieve better I/O performance. In particular, configuration-limited client machines in the cloud
are not responsible for predicting I/O access operations, which can definitely contribute to preferable system performance on them.
A Comprehensive Study on Big Data Applications and Challengesijcisjournal
Big Data has gained much interest from the academia and the IT industry. In the digital and computing
world, information is generated and collected at a rate that quickly exceeds the boundary range. As
information is transferred and shared at light speed on optic fiber and wireless networks, the volume of
data and the speed of market growth increase. Conversely, the fast growth rate of such large data
generates copious challenges, such as the rapid growth of data, transfer speed, diverse data, and security.
Even so, Big Data is still in its early stage, and the domain has not been reviewed in general. Hence, this
study expansively surveys and classifies an assortment of attributes of Big Data, including its nature,
definitions, rapid growth rate, volume, management, analysis, and security. This study also proposes a
data life cycle that uses the technologies and terminologies of Big Data. Map/Reduce is a programming
model for efficient distributed computing. It works well with semi-structured and unstructured data. A
simple model but good for a lot of applications like Log processing and Web index building.
Design and implementation of a personal super Computerijcsit
Resources of personal devices, whether mobile or stationary, can be productively leveraged to service their
users. By doing so, personal users will be able to ubiquitously run relatively complex computational jobs,
which cannot be accommodated in their individual personal devices or while they are on the move. To this
end, the paper proposes a Personal Super Computer (PSC) that superimpose grid functionality over
networked personal devices. In this paper, architectural designs of (PSC) were developed and evaluated
thoroughly through a strictly controlled empirical evaluation framework. The results showed that this
system has successfully maintained high speedup over regular personal computers under different running
conditions.
Data is the most valuable entity in today’s world which has to be managed. The huge data
available is to be processed for knowledge and predictions.This huge data in other words big data is
available from various sources like Facebook, twitter and many more resources. The processing time taken
by the frameworks such as Spark ,MapReduce Hierachial Distributed Matrix(HHDM) is more. Hence
Hybrid Hierarchically Distributed Data Matrix(HHHDM) is proposed. This framework is used to develop
Bigdata applications. In existing system developed programs are by default or automatically roughly
defined, jobs are without any functionality being described to be reusable.It also reduces the ability to
optimize data flow of job sequences and pipelines. To overcome the problems of existing framework we
introduce a HHHDM method for developing the big data processing jobs. The proposed method is a Hybrid
method which has the advantages of Hierarchial Distributed Matrix (HHDM) which is functional,
stronglytyped for writing big data applications which are composable. To improve the performance of
executing HHHDM jobs multiple optimizationsis applied to the HHHDM method. The experimental results
show that the improvement of the processing time is 65-70 percent when compared to the existing
technology that is spark.
Centralized Data Verification Scheme for Encrypted Cloud Data ServicesEditor IJMTER
Cloud environment supports data sharing between multiple users. Data integrity is violated
due to hardware / software failures and human errors. Data owners and public verifiers are involved to
efficiently audit cloud data integrity without retrieving the entire data from the cloud server. File and
block signatures are used in the integrity verification process.
“One Ring to RUle Them All” (Oruta) scheme is used for privacy-preserving public auditing process. In
oruta homomorphic authenticators are constructed using Ring Signatures. Ring signatures are used to
compute verification metadata needed to audit the correctness of shared data. The identity of the signer
on each block in shared data is kept private from public verifiers. Homomorphic authenticable ring
signature (HARS) scheme is applied to provide identity privacy with blockless verification. Batch
auditing mechanism supports to perform multiple auditing tasks simultaneously. Oruta is compatible
with random masking to preserve data privacy from public verifiers. Dynamic data management process
is handled with index hash tables. Traceability is not supported in oruta scheme. Data dynamism
sequence is not managed by the system. The system obtains high computational overhead
The proposed system is designed to perform public data verification with privacy. Traceability features
are provided with identity privacy. Group manager or data owner can be allowed to reveal the identity of
the signer based on verification metadata. Data version management mechanism is integrated with the
system.
A Survey on Graph Database Management Techniques for Huge Unstructured Data IJECEIAES
Data analysis, data management, and big data play a major role in both social and business perspective, in the last decade. Nowadays, the graph database is the hottest and trending research topic. A graph database is preferred to deal with the dynamic and complex relationships in connected data and offer better results. Every data element is represented as a node. For example, in social media site, a person is represented as a node, and its properties name, age, likes, and dislikes, etc and the nodes are connected with the relationships via edges. Use of graph database is expected to be beneficial in business, and social networking sites that generate huge unstructured data as that Big Data requires proper and efficient computational techniques to handle with. This paper reviews the existing graph data computational techniques and the research work, to offer the future research line up in graph database management.
A Survey of Machine Learning Techniques for Self-tuning Hadoop Performance IJECEIAES
The Apache Hadoop framework is an open source implementation of MapReduce for processing and storing big data. However, to get the best performance from this is a big challenge because of its large number configuration parameters. In this paper, the concept of critical issues of Hadoop system, big data and machine learning have been highlighted and an analysis of some machine learning techniques applied so far, for improving the Hadoop performance is presented. Then, a promising machine learning technique using deep learning algorithm is proposed for Hadoop system performance improvement.
The huge volume of text documents available on the internet has made it difficult to find valuable
information for specific users. In fact, the need for efficient applications to extract interested knowledge
from textual documents is vitally important. This paper addresses the problem of responding to user
queries by fetching the most relevant documents from a clustered set of documents. For this purpose, a
cluster-based information retrieval framework was proposed in this paper, in order to design and develop
a system for analysing and extracting useful patterns from text documents. In this approach, a pre-
processing step is first performed to find frequent and high-utility patterns in the data set. Then a Vector
Space Model (VSM) is performed to represent the dataset. The system was implemented through two main
phases. In phase 1, the clustering analysis process is designed and implemented to group documents into
several clusters, while in phase 2, an information retrieval process was implemented to rank clusters
according to the user queries in order to retrieve the relevant documents from specific clusters deemed
relevant to the query. Then the results are evaluated according to evaluation criteria. Recall and Precision
(P@5, P@10) of the retrieved results. P@5 was 0.660 and P@10 was 0.655.
Here’s a quick introduction to zonal OCR & its template-based applications. Find out how zonal OCR can automate manual document processing workflows. Zonal OCR is useful when specific parts of a document must be preferentially or “zonally” extracted.
https://nanonets.com/blog/zonal-ocr/
Here's an alternate version: https://medium.com/nanonets/zonal-ocr-automating-data-extraction-4a189b62d5dd
Managing Big data using Hadoop Map Reduce in Telecom DomainAM Publications
Map reduce is a programming model for analysing and processing large massive data sets. Apache Hadoop is an efficient frame work and the most popular implementation of the map reduce model. Hadoop’s success has motivated research interest and has led to different modifications as well as extensions to framework. In this paper, the challenges faced in different domains like data storage, analytics, online processing and privacy/ security issues while handling big data are explored. Also, the various possible solutions with respect to Telecom domain with Hadoop Map reduce implementation is discussed in this paper.
The technology of object oriented databases was introduced to system developers in
the late 1980’s. Object DBMSs add database functionality to object programming languages. A
major benefit of this approach is the unification of the application and database development into
a seamless data model and language environment. As a result, applications require less code, use
more natural data modeling, and code bases are easier to maintain.
A Comparative Study: Taxonomy of High Performance Computing (HPC) IJECEIAES
The computer technologies have rapidly developed in both software and hardware field. The complexity of software is increasing as per the market demand because the manual systems are going to become automation as well as the cost of hardware is decreasing. High Performance Computing (HPC) is very demanding technology and an attractive area of computing due to huge data processing in many applications of computing. The paper focus upon different applications of HPC and the types of HPC such as Cluster Computing, Grid Computing and Cloud Computing. It also studies, different classifications and applications of above types of HPC. All these types of HPC are demanding area of computer science. This paper also done comparative study of grid, cloud and cluster computing based on benefits, drawbacks, key areas of research, characterstics, issues and challenges.
A Web Extraction Using Soft Algorithm for Trinity Structureiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Performing initiative data prefetchingKamal Spring
Abstract—This paper presents an initiative data prefetching scheme on the storage servers in distributed file systems for cloud
computing. In this prefetching technique, the client machines are not substantially involved in the process of data prefetching, but the
storage servers can directly prefetch the data after analyzing the history of disk I/O access events, and then send the prefetched data
to the relevant client machines proactively. To put this technique to work, the information about client nodes is piggybacked onto the
real client I/O requests, and then forwarded to the relevant storage server. Next, two prediction algorithms have been proposed to
forecast future block access operations for directing what data should be fetched on storage servers in advance. Finally, the prefetched
data can be pushed to the relevant client machine from the storage server. Through a series of evaluation experiments with a
collection of application benchmarks, we have demonstrated that our presented initiative prefetching technique can benefit distributed
file systems for cloud environments to achieve better I/O performance. In particular, configuration-limited client machines in the cloud
are not responsible for predicting I/O access operations, which can definitely contribute to preferable system performance on them.
A Comprehensive Study on Big Data Applications and Challengesijcisjournal
Big Data has gained much interest from the academia and the IT industry. In the digital and computing
world, information is generated and collected at a rate that quickly exceeds the boundary range. As
information is transferred and shared at light speed on optic fiber and wireless networks, the volume of
data and the speed of market growth increase. Conversely, the fast growth rate of such large data
generates copious challenges, such as the rapid growth of data, transfer speed, diverse data, and security.
Even so, Big Data is still in its early stage, and the domain has not been reviewed in general. Hence, this
study expansively surveys and classifies an assortment of attributes of Big Data, including its nature,
definitions, rapid growth rate, volume, management, analysis, and security. This study also proposes a
data life cycle that uses the technologies and terminologies of Big Data. Map/Reduce is a programming
model for efficient distributed computing. It works well with semi-structured and unstructured data. A
simple model but good for a lot of applications like Log processing and Web index building.
Design and implementation of a personal super Computerijcsit
Resources of personal devices, whether mobile or stationary, can be productively leveraged to service their
users. By doing so, personal users will be able to ubiquitously run relatively complex computational jobs,
which cannot be accommodated in their individual personal devices or while they are on the move. To this
end, the paper proposes a Personal Super Computer (PSC) that superimpose grid functionality over
networked personal devices. In this paper, architectural designs of (PSC) were developed and evaluated
thoroughly through a strictly controlled empirical evaluation framework. The results showed that this
system has successfully maintained high speedup over regular personal computers under different running
conditions.
Data is the most valuable entity in today’s world which has to be managed. The huge data
available is to be processed for knowledge and predictions.This huge data in other words big data is
available from various sources like Facebook, twitter and many more resources. The processing time taken
by the frameworks such as Spark ,MapReduce Hierachial Distributed Matrix(HHDM) is more. Hence
Hybrid Hierarchically Distributed Data Matrix(HHHDM) is proposed. This framework is used to develop
Bigdata applications. In existing system developed programs are by default or automatically roughly
defined, jobs are without any functionality being described to be reusable.It also reduces the ability to
optimize data flow of job sequences and pipelines. To overcome the problems of existing framework we
introduce a HHHDM method for developing the big data processing jobs. The proposed method is a Hybrid
method which has the advantages of Hierarchial Distributed Matrix (HHDM) which is functional,
stronglytyped for writing big data applications which are composable. To improve the performance of
executing HHHDM jobs multiple optimizationsis applied to the HHHDM method. The experimental results
show that the improvement of the processing time is 65-70 percent when compared to the existing
technology that is spark.
Centralized Data Verification Scheme for Encrypted Cloud Data ServicesEditor IJMTER
Cloud environment supports data sharing between multiple users. Data integrity is violated
due to hardware / software failures and human errors. Data owners and public verifiers are involved to
efficiently audit cloud data integrity without retrieving the entire data from the cloud server. File and
block signatures are used in the integrity verification process.
“One Ring to RUle Them All” (Oruta) scheme is used for privacy-preserving public auditing process. In
oruta homomorphic authenticators are constructed using Ring Signatures. Ring signatures are used to
compute verification metadata needed to audit the correctness of shared data. The identity of the signer
on each block in shared data is kept private from public verifiers. Homomorphic authenticable ring
signature (HARS) scheme is applied to provide identity privacy with blockless verification. Batch
auditing mechanism supports to perform multiple auditing tasks simultaneously. Oruta is compatible
with random masking to preserve data privacy from public verifiers. Dynamic data management process
is handled with index hash tables. Traceability is not supported in oruta scheme. Data dynamism
sequence is not managed by the system. The system obtains high computational overhead
The proposed system is designed to perform public data verification with privacy. Traceability features
are provided with identity privacy. Group manager or data owner can be allowed to reveal the identity of
the signer based on verification metadata. Data version management mechanism is integrated with the
system.
A data center network is a system in which multiple server are connected to each other to share information and resources. Multiple remote office or user connected to data center network and server for resource or information sharing.
Multiple remote office connected to data center server via VPN. Multiple ISP connected each branch and give failover service and using routing protocol OSPF.
Privacy Preserved Distributed Data Sharing with Load Balancing SchemeEditor IJMTER
Data sharing services are provided under the Peer to Peer (P2P) environment. Federated
database technology is used to manage locally stored data with a federated DBMS and provide unified
data access. Information brokering systems (IBSs) are used to connect large-scale loosely federated data
sources via a brokering overlay. Information brokers redirect the client queries to the requested data
servers. Privacy preserving methods are used to protect the data location and data consumer. Brokers are
trusted to adopt server-side access control for data confidentiality. Query and access control rules are
maintained with shared data details under metadata. A Semantic-aware index mechanism is applied to
route the queries based on their content and allow users to submit queries without data or server
information.
Distributed data sharing is managed with Privacy Preserved Information Brokering (PPIB)
scheme. Attribute-correlation attack and inference attacks are handled by the PPIB. PPIB overlay
infrastructure consisting of two types of brokering components, brokers and coordinators. The brokers
acts as mix anonymizer are responsible for user authentication and query forwarding. The coordinators
concatenated in a tree structure, enforce access control and query routing based on the automata.
Automata segmentation and query segment encryption schemes are used in the Privacy-preserving
Query Brokering (QBroker). Automaton segmentation scheme is used to logically divide the global
automaton into multiple independent segments. The query segment encryption scheme consists of the
preencryption and postencryption modules.
The PPIB scheme is enhanced to support dynamic site distribution and load balancing
mechanism. Peer workloads and trust level of each peer are integrated with the site distribution process.
The PPIB is improved to adopt self reconfigurable mechanism. Automated decision support system for
administrators is included in the PPIB.
Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...Editor IJMTER
The advent of cloud computing, data owners are motivated to outsource their complex
data management systems from local sites to commercial public cloud for great flexibility and
economic savings. But for protecting data privacy, sensitive data has to be encrypted before
outsourcing.Considering the large number of data users and documents in cloud, it is crucial for
the search service to allow multi-keyword query and provide result similarity ranking to meet the
effective data retrieval need. Related works on searchable encryption focus on single keyword
search or Boolean keyword search, and rarely differentiate the search results. We first propose a
basic MRSE scheme using secure inner product computation, and then significantly improve it to
meet different privacy requirements in two levels of threat models. The Incremental High Utility
Pattern Transaction Frequency Tree (IHUPTF-Tree) is designed according to the transaction
frequency (descending order) of items to obtain a compact tree.
By using high utility pattern the items can be arranged in an efficient manner. Tree structure
is used to sort the items. Thus the items are sorted and frequent pattern is obtained. The frequent
pattern items are retrieved from the database by using hybrid tree (H-Tree) structure. So the
execution time becomes faster. Finally, the frequent pattern item that satisfies the threshold value
is displayed.
Cooperative caching for efficient data access in disruption tolerant networksLeMeniz Infotech
Cooperative caching for efficient data access in disruption tolerant networks
Disruption tolerant networks (DTNs) are characterized by low node density, unpredictable node mobility, and lack of global network information. Most of current research efforts in DTNs focus on data forwarding, but only limited work has been done on providing efficient data access to mobile users. A novel approach is proposed to support cooperative caching in DTNs, which enables the sharing and coordination of cached data among multiple nodes and reduces data access delay.
This application has been extremely useful in addressing the following objectives: To reduce effort for tracking and coordination of each employee’s details for resource requirement.
Resource outsourcing is developed for creating an interactive job vacancy for candidates. This web application is to be conceived in its current form as a dynamic site-requiring constant updates both from the seekers as well as the companies.
This project focuses on providing Property Management to real estate agencies, commercial construction companies or property management company. This helps customer to save time & get right business solution for your business
Pesticides Information System Abstract 2017ioshean
The Pesticides Information System is a web-based system, which gives information relating to the clients and dealers of the company with respect to its pesticides product launches. An application has to be developed which would minimize the flaws of the existing system. This project would automate the operations of the management and would retain the present functionality available in the current system.
order processing system for student music store Abstract 2107ioshean
The ORDER PROCESSING System was first completely manual. Hence, it is designed in such a way keeping in mind the changes that would meet the customer’s requirements.
Approximately one hundred and twenty years ago when the telephone was invented, nobody could imagine the concept of real time conversations with people from all over the city, let alone the world. People were still relying on the pony express and the telegraph to exchange communications with one another. Terms such as "telephone operator," "dial tone,” and "cordless telephone" had yet to be invented.
Internet is the means for people to communicate, fulfil their needs and exchanging ideas. Applications on Internet is playing very vital role now a days. Internet made this world into a global ville. Now a days Internet is means to full-fill your desire at mouse click and roam around the world sitting in front of your computer.
Multi Sensor Railway Track Geometry surveying system Abstract 2107ioshean
It has two users Administrator and User Of the RIS. Administrator have functions like 1.Add new train 2.Display all trains 3.Scheduled trains 4.Display Schedule .User have function like 1.Display schedule based on train 2.Display schedule based on source and destination 3.Display schedule based on date 4.Display all trains schedule 5.Book tickets 6.Cancel ticket
This system provides online comprehensive solution to provide information regarding various institutes, their courses and admission procedures for admission seekers in Bachelor courses
The database system must provide for the safety of the information stored, despite system crashes or attempts at unauthorized access. If data are to be shared among several users, the system must avoid possible anomalous results.
Hostel Management Information system Abstract 2017ioshean
This Project “HOSTEL MANAGEMENT INFORMATION SYSTEM” targeted for the College Hostel integrates the transaction management of the Hostel for better control and timely response. This eliminates time delay and paper transactions being marked.
Cloud computing as an emerging computing mode can be applied to the District Medical Data Center. This is a new proposal raised in the paper. The rudiment of District Medical Data Center based on cloud computing is established. A comparison is made between the samples from the rudiment and the samples from the general systems.
In the manual system it is difficult to maintain data and generating different reports according to requesting transaction. In the present system it is becoming difficult to issue pay-slip for all the employee every month by manually going through the various record of the organization.
A smart environment is one that is able to identify people, interpret their actions, and react appropriately. Thus, one of the most important building blocks of smart environments is a person identification system. Face recognition devices are ideal for such systems, since they have recently become fast, cheap, unobtrusive, and, when combined with voice-recognition, are very robust against changes in the environment.
Distribution Business Automation system Abstract 2017ioshean
The company is dedicated to providing responsive, quality service with a flexible approach to meet the distinct needs of large and smaller customers alike. We will continue improving and adding value to our customer service with new initiatives
The main aim of "DHL COURIER COMPLETE" is to improve the services of Customers. The Head office will maintain the Central server. This Contains two major modules. which are Employee Details and courier service. The Employee module maintains employee information which is having Empinfo, Leave master, Leave transactions, Loan and Salary details. The second module having customer, branch, Dispatches, Receipts details.
Event Tracker is software that manages various events that take place in an Oragnization from time to time. The employees of an Organization will be involved in various events like taking professional training, computers and internet, Business and Economy, conducting parties, or sports and games, product releases etc
The Cyber Shopping application is an Online Website for an Organization. It is a virtual showcase for different types of products like Electronic, Automobile, Jewelers, Fashion, and Film etc. The main aim of this project is to make Online shopping very easily. The Special thing about this project is it provides different types of products to purchase.
Congestion Control using network based Protocol Abstract 2017ioshean
The Internet’s excellent scalability and robustness result in part from the end-to-end nature of Internet congestion control. End-to-end congestion control algorithms alone, however, are unable to prevent the congestion collapse and unfairness created by applications that are unresponsive to network congestion.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
1. CreativeSoft (Corporate Office)
# 412, Annpurna Block, Aditya Enclave, Ameerpet, Hyderabad – 500016
Tel: +91-40-40159158
Mobile: 91-9247249455
Distributed DBA
ABSTRACT
The next-generation mobile network will support terminal mobility, personal mobility, and
service provider portability, making global roaming seamless. A location-independent personal
telecommunication number (PTN) scheme is conducive to implementing such a global mobile system.
However, the nongeographic PTNs coupled with the anticipated large number of mobile users in future
mobile networks may introduce very large centralized databases. This necessitates research into the
design and performance of high-throughput database technologies used in mobile systems to ensure
that future systems will be able to carry efficiently the anticipated loads. This project proposes a
scalable, robust, efficient location database architecture based on the location-
independent PTNs.
The proposed multitree database architecture consists of a number of database subsystems,
each of which is a three-level tree structure and is connected to the others only through its root. By
exploiting the localized nature of calling and mobility patterns, the proposed architecture effectively
reduces the database loads as well as the signaling traffic incurred by the location registration and call
delivery procedures. In addition, two memory-resident database indices, memory-resident direct file
and
T-tree, are proposed for the location databases to further improve their throughput. Analysis
model and numerical results are presented to evaluate the efficiency of the proposed database
architecture. Results have revealed that the proposed database architecture for location management
can effectively support the anticipated
high user density in the future mobile networks.
EXISTING SYSTEM:
2. CreativeSoft (Corporate Office)
# 412, Annpurna Block, Aditya Enclave, Ameerpet, Hyderabad – 500016
Tel: +91-40-40159158
Mobile: 91-9247249455
In existing system different databases are used for each and every node. Here a node contains only their
own data and doesn’t search data of another nodes .Here the node can use their own data from a
particular database.
3. CreativeSoft (Corporate Office)
# 412, Annpurna Block, Aditya Enclave, Ameerpet, Hyderabad – 500016
Tel: +91-40-40159158
Mobile: 91-9247249455
PROPOSED SYSTEM:
The proposed multi-tree database architecture consists of a number of database subsystems,
each of which is a three-level tree structure and is connected to the others only through its root. By
exploiting the localized nature of calling and mobility patterns, the proposed architecture effectively
reduces the database loads as well as the signaling traffic incurred by the location registration and call
delivery procedures. In addition, two memory-resident database indices, memory-resident direct file
and T-tree, are proposed for the location databases to further improve their throughput. Analysis model
and numerical results are presented to evaluate the efficiency of the proposed database architecture.
Results have revealed that the proposed database architecture for location management can effectively
support the anticipated high user density in the future mobile networks.
MODULES:
1. Network: Here we are using centralized database for constructing network. In this
Module we are using 3 different nodes for constructing network. After login each and
every node can use the data from the centralized database.
2. Search: Here 3 different nodes can search the data from centralized database. A node can
search the data from its own space if the file is not available it can also search others
nodes space.
System Requirement Specification:
Hardware Requirements
Hard disk: - 80GB
RAM: - 512MB
Processor: - P V
Software Requirements
4. CreativeSoft (Corporate Office)
# 412, Annpurna Block, Aditya Enclave, Ameerpet, Hyderabad – 500016
Tel: +91-40-40159158
Mobile: 91-9247249455
Operating Systems: WINDOWS NT 4 / 2000 / XP
Technologies Used: Java,SWING, jdbc.
Back End: MySql