Social networking site is a Web site that mainly acts as a hub for persons to establish relations... more Social networking site is a Web site that mainly acts as a hub for persons to establish relations with other persons. Private information leakage is connected to details concerning an individual that are not clearly stated, but, to a certain extent, are conditional all the way through other details released and relationships towards individuals who may possibly communicate that detail. K-anonymity tries to build that an individual cannot be recognized from the data but does not believe inference attacks that can be commenced to conclude private information. To appreciate the feasibility of probable inference attacks and the efficiency of a variety of techniques of sanitization combating against those attacks, various methods were applied.
The purpose of this paper is to introduce the notions of two operators and induced by fuzzy grill... more The purpose of this paper is to introduce the notions of two operators and induced by fuzzy grill G on a fuzzy m-space. A new fuzzy topology is obtained with the help of non-fuzzy topological space (fuzzy m-space) and the basic properties of the induced topology are studied. Then a sort of suitability condition of fuzzy grill with fuzzy m-space is formulated.
Security of today's networks heavily relies on Network Intrusion Detection Systems (NIDSs). An im... more Security of today's networks heavily relies on Network Intrusion Detection Systems (NIDSs). An important issue is how to scale FPGA-based NIDS implementations to ever faster network links. Whereas a trivial approach is to balance traffic over multiple, but functionally equivalent, hardware blocks, each implementing the whole rule set (several thousand rules), the obvious cons is the linear increase in the resource occupation. In this work, we promote a different, traffic-aware, modular approach in the design of FPGA-based NIDS. Instead of purely splitting traffic across equivalent modules, we classify and group homogeneous traffic, and dispatch it to differently capable hardware blocks, each supporting a (smaller) rule set tailored to the specific traffic category. We implement and validate our approach using the rule set of the well known Snort NIDS, and we experimentally investigate the emerging trade-offs and advantages.
Today growth in e-transaction has been increased rapidly; there is a greater demand for reliable,... more Today growth in e-transaction has been increased rapidly; there is a greater demand for reliable, authenticate and secure e-transaction. But number of problems associated with the implementation of a secure e-transaction. E-transaction requires a commitment to secure details, including debit card, credit card or other confidential information of the customers from various attacks such as man-in-the middle attack, phishing attack etc., To overcome the above attacks this research work propose a Mulibiometrics E-Payment Card (MEC) for ATM (Automated Teller Machine), play an important role which provide security solution against the well known breaches. This paper is focused on securing reliable authentication scheme through effective feature level fusion of biometric templates
In this paper, a novel color image watermarking based on Fast Discrete Pascal Transform has been ... more In this paper, a novel color image watermarking based on Fast Discrete Pascal Transform has been proposed. The carrier image is divided into a pair of pixel components in row major order before applying Fast Discrete Pascal Transform (FDPT) in each pair of pixels. After the image has been converted to transform domain, the secret watermark is embedded. To transform into the spatial domain Inverse Fast Discrete Pascal Transform (IFDPT) is applied. This process is repeated based on the size and content of the watermark. Proposed technique works well than existing techniques such as (FWSDHTCIA) [6] technique in terms of Peak Signal to Noise Ratio (dB) and capacities (Bytes).
The Least Mean Square (LMS) adaptive filter is the most popular and most widely used adaptive fil... more The Least Mean Square (LMS) adaptive filter is the most popular and most widely used adaptive filter, because of its simplicity and also its satisfactory convergence performance. Partial Product Generator is used for achieving lower area-delay-power and adaptationdelay. The Delayed Least Mean Square (DLMS) algorithm introduces a delay in the updating of filter coefficients. The DLMS algorithm is the most popular for real-time adaptive system implementations. An efficient architecture for the implementation of a delayed Least Mean Square adaptive filter is developed. From synthesis results, we found that the proposed design offers nearly 16% less area-delay product (ADP) and nearly 13% less energy-delay product (EDP) than the existing systolic structures for filter lengths N = 8, 16 and 32. The main advantage of Delayed LMS adaptive filter architecture is used to reduce the power and time complexity.
A wireless sensor network is subject to a unique set of resource constraints such as finite batte... more A wireless sensor network is subject to a unique set of resource constraints such as finite battery power and constrained network
communication bandwidth. Each sensor node has a microprocessor and a petite amount of memory. Also every sensor node is
equipped with one or more sensing devices such as acoustic sensors, microphone arrays, video cameras, infrared, seismic or
magnetic sensors. But it is difficult to replace the deceased batteries of the sensor nodes. A distinctive sensor node consumes
much of its energy during wireless communication. This research work suggests the development of a hierarchical distributed
clustering mechanism, which gives improved performance over the existing clustering algorithm LEACH. The two hiding
concepts behind the proposed scheme are the hierarchical distributed clustering mechanism and the concept of threshold. Energy
utilization is significantly reduced, thereby greatly prolonging the lifetime of the sensor nodes.
The paper presents a simple mathematical model for water pollution. We consider the advection dif... more The paper presents a simple mathematical model for water pollution. We consider the advection diffusion equation as an Initial Boundary Value Problem (IBVP) for the estimation of water pollution. For the numerical solution of the IBVP, the derivation of an explicit central difference scheme is presented. By implementing a finite difference scheme for the IBVP, we estimate and analyze the extent of water pollution at different times and different points in a one dimensional spatial domain. The pollutant concentration is increased in a fixed position with respect to time, finally.
Software metrics provides a quantitative measure that enables software people to gain insight int... more Software metrics provides a quantitative measure that enables software people to gain insight into the efficacy of the software projects. These metrics data can then be analyzed and compared to determine and improve the quality of the software that is being developed. Therefore, it is essential to compute metrics. The proposed metrics tool facilitates the users to calculate the various metrics during the life cycle of a project. This unique feature is not available with existing metrics tools as they need to use different tools to compute the metrics for each phase in SDLC. The metrics values that are calculated help us in determining the quality and reliability of the project. This tool also helps us in determining the risks as well as the possibility of errors getting introduced into the code due to changes based on the cyclomatic complexity of the project. The various metrics that can be determined includes Function Point Metrics, Project Point Metrics, Estimated Effort and Duration of a project using COCOMO Model,
In this research work we have developed a frame work for identification of class of hearing disor... more In this research work we have developed a frame work for identification of class of hearing disorder using the decision bragged tree algorithm applied to the audio test reports dataset of people suffering from hearing impairments, The selection of machine algorithm was only done after understanding the nature of dataset , which was non linear and non separable dataset , since , the dataset of 60 tests, factor analysis was conducted to identify which parameters can help us design best discriminator for identification of hearing disorder class by doing we were able to implement the algorithm with high accuracy and low fraction of
out of bag errors and margins errors.
Service Oriented Computing (SOC) is an emerging cross-disciplinary paradigm for distributed compu... more Service Oriented Computing (SOC) is an emerging cross-disciplinary paradigm for distributed computing that is changing the
way, of how software are designed, architecture, delivered and consumed. Web Services are the most promising part of SOC.
Web Services are autonomous, platform-independent, computational element that can be described, published, discovered,
orchestrated and programmed using XML. Web Service Composition plays an important role in SOC. Web Service Composition
may be dynamic or static. A composition process require an algorithm to perform composition task. Now-a-days various
approach for composition algorithm are used as required by research task. Popular approach are an uninformed search, a greedy
informed search and a genetic algorithm etc. In this study, we have done a survey on various composition algorithm and derive
their features and capabilities for composition.
In preliminary studies of urea-formaldehyde reactions, the influence of the U:F molar ratio, the ... more In preliminary studies of urea-formaldehyde reactions, the influence of the U:F molar ratio, the temperature and the catalyst were investigated. Subsequently, in a more rigorous evaluation of the influence of four variables on urea-formaldehyde resin formation, viz., U:F molar ratio, pH, temperature and reaction time, a set of twenty reactions were performed using a statistical approach. The results indicate that high resin viscosity is best achieved by using a high U:F molar ratio (2:1) and conducting the reaction at 90°C. Due to application of coating and paint urea formaldehyde resin blend with alcohol, oil So we have think about the alkylated urea formaldehyde resin but in low molecular weight alcohol create a problem during the separation of water from the product so we can use butanol as a use for production of alkylated urea formaldehyde resin. And finally we have to find out the kinetics of urea formaldehyde resin.
Cleaner production is proposed to develop cleaner technology in pulp and paper industry by adopti... more Cleaner production is proposed to develop cleaner technology in pulp and paper industry by adopting better technologies, better plants, better processing, better recoveries and better pollution control measures which is more convenient and viable for industry to increase their economic benefit in short time of payback period and also to satisfy Gujarat Pollution Control Board norms. This project provides solution to the problem of plastic waste generated in recycle paper industry to satisfy Gujarat Pollution Control Board norms, to improve process and economics. Proposed process suggests the manufacturing of plastic sheet as a possible solution for plastic waste generated in recycle paper industry and it is proven.
The environmental concern and diminishing reserves of fossil fuels has increased the demand for t... more The environmental concern and diminishing reserves of fossil fuels has increased the demand for the study of biodiesel production. Biodiesel has become more attractive recently because of its environmental benefits and the fact that it is made from renewable resources. Biodiesel is one of the most promising alternatives for fossil fuels. It can be made from various renewable sources, including recycled oil, and can be utilized in lieu of petroleum-based diesel. The cost of biodiesel, however, is the main hurdle to commercialization of the product. There are four primary ways to make biodiesel, direct use and blending, microemulsions, thermal cracking (pyrolysis) and transesterification. The most commonly used method is transesterification of vegetable oils and animal fats. The used cooking oils are used as raw material, adaption of continuous transesterification process with different catalyst like alkali, acid and enzyme. And recovery of high quality glycerol from biodiesel by-product (glycerol) is primary options to be considered to lower the cost of biodiesel.
Adroit is a drop-in replacement for malloc () and other standard memory allocation functions, int... more Adroit is a drop-in replacement for malloc () and other standard memory allocation functions, intended for use in persistent multithreaded applications that perform concurrent memory allocations. It was created after we discovered very poor multithreaded performance of the stock threaded heap managers on Solaris, Linux and other popular UNIX and Unix-like operating systems. It is extremely stable and high-performance, though the memory and startup overhead make it less suitable for small, short-lived applications. On some platforms Adroit's single-threaded performance even outstrips non-threaded stock malloc implementations.
Social networking site is a Web site that mainly acts as a hub for persons to establish relations... more Social networking site is a Web site that mainly acts as a hub for persons to establish relations with other persons. Private information leakage is connected to details concerning an individual that are not clearly stated, but, to a certain extent, are conditional all the way through other details released and relationships towards individuals who may possibly communicate that detail. K-anonymity tries to build that an individual cannot be recognized from the data but does not believe inference attacks that can be commenced to conclude private information. To appreciate the feasibility of probable inference attacks and the efficiency of a variety of techniques of sanitization combating against those attacks, various methods were applied.
The purpose of this paper is to introduce the notions of two operators and induced by fuzzy grill... more The purpose of this paper is to introduce the notions of two operators and induced by fuzzy grill G on a fuzzy m-space. A new fuzzy topology is obtained with the help of non-fuzzy topological space (fuzzy m-space) and the basic properties of the induced topology are studied. Then a sort of suitability condition of fuzzy grill with fuzzy m-space is formulated.
Security of today's networks heavily relies on Network Intrusion Detection Systems (NIDSs). An im... more Security of today's networks heavily relies on Network Intrusion Detection Systems (NIDSs). An important issue is how to scale FPGA-based NIDS implementations to ever faster network links. Whereas a trivial approach is to balance traffic over multiple, but functionally equivalent, hardware blocks, each implementing the whole rule set (several thousand rules), the obvious cons is the linear increase in the resource occupation. In this work, we promote a different, traffic-aware, modular approach in the design of FPGA-based NIDS. Instead of purely splitting traffic across equivalent modules, we classify and group homogeneous traffic, and dispatch it to differently capable hardware blocks, each supporting a (smaller) rule set tailored to the specific traffic category. We implement and validate our approach using the rule set of the well known Snort NIDS, and we experimentally investigate the emerging trade-offs and advantages.
Today growth in e-transaction has been increased rapidly; there is a greater demand for reliable,... more Today growth in e-transaction has been increased rapidly; there is a greater demand for reliable, authenticate and secure e-transaction. But number of problems associated with the implementation of a secure e-transaction. E-transaction requires a commitment to secure details, including debit card, credit card or other confidential information of the customers from various attacks such as man-in-the middle attack, phishing attack etc., To overcome the above attacks this research work propose a Mulibiometrics E-Payment Card (MEC) for ATM (Automated Teller Machine), play an important role which provide security solution against the well known breaches. This paper is focused on securing reliable authentication scheme through effective feature level fusion of biometric templates
In this paper, a novel color image watermarking based on Fast Discrete Pascal Transform has been ... more In this paper, a novel color image watermarking based on Fast Discrete Pascal Transform has been proposed. The carrier image is divided into a pair of pixel components in row major order before applying Fast Discrete Pascal Transform (FDPT) in each pair of pixels. After the image has been converted to transform domain, the secret watermark is embedded. To transform into the spatial domain Inverse Fast Discrete Pascal Transform (IFDPT) is applied. This process is repeated based on the size and content of the watermark. Proposed technique works well than existing techniques such as (FWSDHTCIA) [6] technique in terms of Peak Signal to Noise Ratio (dB) and capacities (Bytes).
The Least Mean Square (LMS) adaptive filter is the most popular and most widely used adaptive fil... more The Least Mean Square (LMS) adaptive filter is the most popular and most widely used adaptive filter, because of its simplicity and also its satisfactory convergence performance. Partial Product Generator is used for achieving lower area-delay-power and adaptationdelay. The Delayed Least Mean Square (DLMS) algorithm introduces a delay in the updating of filter coefficients. The DLMS algorithm is the most popular for real-time adaptive system implementations. An efficient architecture for the implementation of a delayed Least Mean Square adaptive filter is developed. From synthesis results, we found that the proposed design offers nearly 16% less area-delay product (ADP) and nearly 13% less energy-delay product (EDP) than the existing systolic structures for filter lengths N = 8, 16 and 32. The main advantage of Delayed LMS adaptive filter architecture is used to reduce the power and time complexity.
A wireless sensor network is subject to a unique set of resource constraints such as finite batte... more A wireless sensor network is subject to a unique set of resource constraints such as finite battery power and constrained network
communication bandwidth. Each sensor node has a microprocessor and a petite amount of memory. Also every sensor node is
equipped with one or more sensing devices such as acoustic sensors, microphone arrays, video cameras, infrared, seismic or
magnetic sensors. But it is difficult to replace the deceased batteries of the sensor nodes. A distinctive sensor node consumes
much of its energy during wireless communication. This research work suggests the development of a hierarchical distributed
clustering mechanism, which gives improved performance over the existing clustering algorithm LEACH. The two hiding
concepts behind the proposed scheme are the hierarchical distributed clustering mechanism and the concept of threshold. Energy
utilization is significantly reduced, thereby greatly prolonging the lifetime of the sensor nodes.
The paper presents a simple mathematical model for water pollution. We consider the advection dif... more The paper presents a simple mathematical model for water pollution. We consider the advection diffusion equation as an Initial Boundary Value Problem (IBVP) for the estimation of water pollution. For the numerical solution of the IBVP, the derivation of an explicit central difference scheme is presented. By implementing a finite difference scheme for the IBVP, we estimate and analyze the extent of water pollution at different times and different points in a one dimensional spatial domain. The pollutant concentration is increased in a fixed position with respect to time, finally.
Software metrics provides a quantitative measure that enables software people to gain insight int... more Software metrics provides a quantitative measure that enables software people to gain insight into the efficacy of the software projects. These metrics data can then be analyzed and compared to determine and improve the quality of the software that is being developed. Therefore, it is essential to compute metrics. The proposed metrics tool facilitates the users to calculate the various metrics during the life cycle of a project. This unique feature is not available with existing metrics tools as they need to use different tools to compute the metrics for each phase in SDLC. The metrics values that are calculated help us in determining the quality and reliability of the project. This tool also helps us in determining the risks as well as the possibility of errors getting introduced into the code due to changes based on the cyclomatic complexity of the project. The various metrics that can be determined includes Function Point Metrics, Project Point Metrics, Estimated Effort and Duration of a project using COCOMO Model,
In this research work we have developed a frame work for identification of class of hearing disor... more In this research work we have developed a frame work for identification of class of hearing disorder using the decision bragged tree algorithm applied to the audio test reports dataset of people suffering from hearing impairments, The selection of machine algorithm was only done after understanding the nature of dataset , which was non linear and non separable dataset , since , the dataset of 60 tests, factor analysis was conducted to identify which parameters can help us design best discriminator for identification of hearing disorder class by doing we were able to implement the algorithm with high accuracy and low fraction of
out of bag errors and margins errors.
Service Oriented Computing (SOC) is an emerging cross-disciplinary paradigm for distributed compu... more Service Oriented Computing (SOC) is an emerging cross-disciplinary paradigm for distributed computing that is changing the
way, of how software are designed, architecture, delivered and consumed. Web Services are the most promising part of SOC.
Web Services are autonomous, platform-independent, computational element that can be described, published, discovered,
orchestrated and programmed using XML. Web Service Composition plays an important role in SOC. Web Service Composition
may be dynamic or static. A composition process require an algorithm to perform composition task. Now-a-days various
approach for composition algorithm are used as required by research task. Popular approach are an uninformed search, a greedy
informed search and a genetic algorithm etc. In this study, we have done a survey on various composition algorithm and derive
their features and capabilities for composition.
In preliminary studies of urea-formaldehyde reactions, the influence of the U:F molar ratio, the ... more In preliminary studies of urea-formaldehyde reactions, the influence of the U:F molar ratio, the temperature and the catalyst were investigated. Subsequently, in a more rigorous evaluation of the influence of four variables on urea-formaldehyde resin formation, viz., U:F molar ratio, pH, temperature and reaction time, a set of twenty reactions were performed using a statistical approach. The results indicate that high resin viscosity is best achieved by using a high U:F molar ratio (2:1) and conducting the reaction at 90°C. Due to application of coating and paint urea formaldehyde resin blend with alcohol, oil So we have think about the alkylated urea formaldehyde resin but in low molecular weight alcohol create a problem during the separation of water from the product so we can use butanol as a use for production of alkylated urea formaldehyde resin. And finally we have to find out the kinetics of urea formaldehyde resin.
Cleaner production is proposed to develop cleaner technology in pulp and paper industry by adopti... more Cleaner production is proposed to develop cleaner technology in pulp and paper industry by adopting better technologies, better plants, better processing, better recoveries and better pollution control measures which is more convenient and viable for industry to increase their economic benefit in short time of payback period and also to satisfy Gujarat Pollution Control Board norms. This project provides solution to the problem of plastic waste generated in recycle paper industry to satisfy Gujarat Pollution Control Board norms, to improve process and economics. Proposed process suggests the manufacturing of plastic sheet as a possible solution for plastic waste generated in recycle paper industry and it is proven.
The environmental concern and diminishing reserves of fossil fuels has increased the demand for t... more The environmental concern and diminishing reserves of fossil fuels has increased the demand for the study of biodiesel production. Biodiesel has become more attractive recently because of its environmental benefits and the fact that it is made from renewable resources. Biodiesel is one of the most promising alternatives for fossil fuels. It can be made from various renewable sources, including recycled oil, and can be utilized in lieu of petroleum-based diesel. The cost of biodiesel, however, is the main hurdle to commercialization of the product. There are four primary ways to make biodiesel, direct use and blending, microemulsions, thermal cracking (pyrolysis) and transesterification. The most commonly used method is transesterification of vegetable oils and animal fats. The used cooking oils are used as raw material, adaption of continuous transesterification process with different catalyst like alkali, acid and enzyme. And recovery of high quality glycerol from biodiesel by-product (glycerol) is primary options to be considered to lower the cost of biodiesel.
Adroit is a drop-in replacement for malloc () and other standard memory allocation functions, int... more Adroit is a drop-in replacement for malloc () and other standard memory allocation functions, intended for use in persistent multithreaded applications that perform concurrent memory allocations. It was created after we discovered very poor multithreaded performance of the stock threaded heap managers on Solaris, Linux and other popular UNIX and Unix-like operating systems. It is extremely stable and high-performance, though the memory and startup overhead make it less suitable for small, short-lived applications. On some platforms Adroit's single-threaded performance even outstrips non-threaded stock malloc implementations.
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communication bandwidth. Each sensor node has a microprocessor and a petite amount of memory. Also every sensor node is
equipped with one or more sensing devices such as acoustic sensors, microphone arrays, video cameras, infrared, seismic or
magnetic sensors. But it is difficult to replace the deceased batteries of the sensor nodes. A distinctive sensor node consumes
much of its energy during wireless communication. This research work suggests the development of a hierarchical distributed
clustering mechanism, which gives improved performance over the existing clustering algorithm LEACH. The two hiding
concepts behind the proposed scheme are the hierarchical distributed clustering mechanism and the concept of threshold. Energy
utilization is significantly reduced, thereby greatly prolonging the lifetime of the sensor nodes.
out of bag errors and margins errors.
way, of how software are designed, architecture, delivered and consumed. Web Services are the most promising part of SOC.
Web Services are autonomous, platform-independent, computational element that can be described, published, discovered,
orchestrated and programmed using XML. Web Service Composition plays an important role in SOC. Web Service Composition
may be dynamic or static. A composition process require an algorithm to perform composition task. Now-a-days various
approach for composition algorithm are used as required by research task. Popular approach are an uninformed search, a greedy
informed search and a genetic algorithm etc. In this study, we have done a survey on various composition algorithm and derive
their features and capabilities for composition.
communication bandwidth. Each sensor node has a microprocessor and a petite amount of memory. Also every sensor node is
equipped with one or more sensing devices such as acoustic sensors, microphone arrays, video cameras, infrared, seismic or
magnetic sensors. But it is difficult to replace the deceased batteries of the sensor nodes. A distinctive sensor node consumes
much of its energy during wireless communication. This research work suggests the development of a hierarchical distributed
clustering mechanism, which gives improved performance over the existing clustering algorithm LEACH. The two hiding
concepts behind the proposed scheme are the hierarchical distributed clustering mechanism and the concept of threshold. Energy
utilization is significantly reduced, thereby greatly prolonging the lifetime of the sensor nodes.
out of bag errors and margins errors.
way, of how software are designed, architecture, delivered and consumed. Web Services are the most promising part of SOC.
Web Services are autonomous, platform-independent, computational element that can be described, published, discovered,
orchestrated and programmed using XML. Web Service Composition plays an important role in SOC. Web Service Composition
may be dynamic or static. A composition process require an algorithm to perform composition task. Now-a-days various
approach for composition algorithm are used as required by research task. Popular approach are an uninformed search, a greedy
informed search and a genetic algorithm etc. In this study, we have done a survey on various composition algorithm and derive
their features and capabilities for composition.