This document discusses a new incremental method for updating approximations in a variable precision rough-set model when objects in an information system are dynamically changing over time. The method utilizes previous data structures to efficiently carry out incremental updates to approximations as objects evolve. It also considers changes to an attribute's domain to update approximations incrementally under a variable precision rough-set model. An experimental evaluation demonstrates the efficiency of the proposed incremental updating method for dynamic maintenance of approximations.
In this paper, a control strategy for power flow management of a grid-connected hybrid photovoltaic (PV)–wind battery-based system with an efficient multi-input transformer coupled bidirectional dc–dc converter is presented. The proposed system aims to satisfy the load demand, manage the power flow from different sources, inject the surplus power into the grid, and charge the battery from the grid as and when required. A transformer-coupled boost half-bridge converter is used to harness power from wind, while a bidirectional buck– boost converter is used to harness power from PV along with battery charging/discharging control. A single-phase full-bridge bidirectional converter is used for feeding ac loads and interaction with the grid. The proposed converter architecture has reduced number of power conversion stages with less component count and reduced losses compared with existing grid-connected hybrid systems. This improves the efficiency and the reliability of the system. Simulation results obtained using MATLAB/Simulink show the performance of the proposed control strategy for power flow management under various modes of operation. The effectiveness of the topology of the proposed control strategy are validated through detailed experimental studies to demonstrate the capability of the system operation in different modes.
Wireless sensor networks can provide low cost solution accompanied with limited storage, computational capability and power for verity of real-world problems and become essential factor when sensor nodes are arbitrarily deployed in a hostile environment. The cluster head selection technique is also one of the good approaches to reduce energy consumption in wireless sensor networks. The lifetime of wireless sensor networks is extended by using the uniform cluster head selection and balancing the network loading among the clusters. We have reviewed various energy efficient schemes apply in WSNs of which we concentrated on selection of cluster head approach and proposed an new method called Sleep Scheduling Routing with in clusters for Energy Efficient [SSREE]in which some nodes in clusters are usually put to sleep to conserve energy, and this helps to prolong the network lifetime. EASSR selects a node as a cluster head if its residual energy is more than system average energy and have less energy consumption rate in previous round. Then, an Performance analysis and compared statistic results of SSREE shows of the significant improvement over existing protocol LEACH, SEP and M-GEAR protocol in terms of lifetime of network and data units gathered at BS.
Power electronic converters, especially DC/AC Sinusoidal Pulse Width Modulation inverters have been extending their range of use in industry because of their numerous advantages. They typically synthesize the stair –case voltage waveform (from several dc sources) which has reduced harmonic content. This paper aims to extend the knowledge about the performance of Five level Cascaded H-Bridge MLI topology with DC/DC Boost Converter using SPWM for fixed DC Source. The output voltage is the sum of the voltage that is generated by each bridge. The switching angles can be chosen in such a way that the total harmonic distortion is minimized. This topology incorporates Boost Converter in the input side which magnifies the fundamental output voltage with reduction in total harmonic distortion. It also incorporates LC filter and hence output is drawn near the sine wave because of more levels. Results of experiments proved. The performance of the proposed SPWM strategy in terms of output voltage and THD has studied successfully and shown using MATLAB/Simulink.
Finite element model of vagus nerve stimulation. Finite element analysis of the effect of electric fields on biological tissue (the vagus nerve). Medical device consulting project. Paper: Arle, Carlson, Mei, Investigation of Mechanisms of Vagus Nerve Stimulation for Seizure Using Finite Element Modeling (in review).
In this paper, a control strategy for power flow management of a grid-connected hybrid photovoltaic (PV)–wind battery-based system with an efficient multi-input transformer coupled bidirectional dc–dc converter is presented. The proposed system aims to satisfy the load demand, manage the power flow from different sources, inject the surplus power into the grid, and charge the battery from the grid as and when required. A transformer-coupled boost half-bridge converter is used to harness power from wind, while a bidirectional buck– boost converter is used to harness power from PV along with battery charging/discharging control. A single-phase full-bridge bidirectional converter is used for feeding ac loads and interaction with the grid. The proposed converter architecture has reduced number of power conversion stages with less component count and reduced losses compared with existing grid-connected hybrid systems. This improves the efficiency and the reliability of the system. Simulation results obtained using MATLAB/Simulink show the performance of the proposed control strategy for power flow management under various modes of operation. The effectiveness of the topology of the proposed control strategy are validated through detailed experimental studies to demonstrate the capability of the system operation in different modes.
Wireless sensor networks can provide low cost solution accompanied with limited storage, computational capability and power for verity of real-world problems and become essential factor when sensor nodes are arbitrarily deployed in a hostile environment. The cluster head selection technique is also one of the good approaches to reduce energy consumption in wireless sensor networks. The lifetime of wireless sensor networks is extended by using the uniform cluster head selection and balancing the network loading among the clusters. We have reviewed various energy efficient schemes apply in WSNs of which we concentrated on selection of cluster head approach and proposed an new method called Sleep Scheduling Routing with in clusters for Energy Efficient [SSREE]in which some nodes in clusters are usually put to sleep to conserve energy, and this helps to prolong the network lifetime. EASSR selects a node as a cluster head if its residual energy is more than system average energy and have less energy consumption rate in previous round. Then, an Performance analysis and compared statistic results of SSREE shows of the significant improvement over existing protocol LEACH, SEP and M-GEAR protocol in terms of lifetime of network and data units gathered at BS.
Power electronic converters, especially DC/AC Sinusoidal Pulse Width Modulation inverters have been extending their range of use in industry because of their numerous advantages. They typically synthesize the stair –case voltage waveform (from several dc sources) which has reduced harmonic content. This paper aims to extend the knowledge about the performance of Five level Cascaded H-Bridge MLI topology with DC/DC Boost Converter using SPWM for fixed DC Source. The output voltage is the sum of the voltage that is generated by each bridge. The switching angles can be chosen in such a way that the total harmonic distortion is minimized. This topology incorporates Boost Converter in the input side which magnifies the fundamental output voltage with reduction in total harmonic distortion. It also incorporates LC filter and hence output is drawn near the sine wave because of more levels. Results of experiments proved. The performance of the proposed SPWM strategy in terms of output voltage and THD has studied successfully and shown using MATLAB/Simulink.
Finite element model of vagus nerve stimulation. Finite element analysis of the effect of electric fields on biological tissue (the vagus nerve). Medical device consulting project. Paper: Arle, Carlson, Mei, Investigation of Mechanisms of Vagus Nerve Stimulation for Seizure Using Finite Element Modeling (in review).
Montgomery multiplication is an efficient method for implementation on general purpose computers and embedded microprocessors. It is the basic operation used in modular exponentiation which is required in the RSA public key cryptosystems. The algorithm uses simple divisions by a power of two instead of divisions by M which are used in a conventional modular operation and its implementation based on a fixed precision of the operands. In order to reduce the computation time by Radix-2 and Radix-4 algorithm and also to overcome the variable precision multiplication features although the number of partial product was reduced. The complexity of control and computational logic increased substantially at the same time. The approach was able to process an n-bit precision multiplication in approximately n clock cycles to simulate by Xilinx 12.3 tool using VHDL language.
Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...Tarik Reza Toha
The recent boost in the usage of high-performance computing systems in small research environments, such as those found at many universities, stipulates the need of smallscale distributed systems. Owning to the rapid growth in both computing power and heat, development of proper thermal and resource management becomes crucial concern of the research community along with the vendors to ensure efficiency for such systems. Moreover, an accurate and relatively fast strategy is needed for adaptation of different sizes of workload in such systems. Therefore, in this paper, we focus on developing simple prediction models of CPU temperature and usage for the systems. We investigate impacts of macro-level parameters such as the number of machines and different sizes of workload on CPU temperature and usage via real experiment. Our experimental results reveal that for a certain size of workload, the variation in CPU temperature and usage is minimal in response to a change in the number of machines, which does not hold in the reverse way. Hence, we develop workload-based prediction models for CPU temperature and usage. We evaluate the accuracy of our models by comparing the values calculated based on these models against the measurements found from real implementation.
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Scalable analytics for iaa s cloud ...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This book is a blend of history and fiction for a readable personified presentation of the Hindu mindset which appeared in the later half of the nineteenth century, after the demise of the Mughal Empire and the end of the Muslim rule in India.
It is a saga in a racy narrative of the life and time of a man who was extraordinarily intelligent, an intrepid fighter for his convictions, a master strategist and a fearless nationalist personifying the Hindu psyche of the post-Mughal renaissance period seeking inspiration from Chanakya’s Takshashila.
Montgomery multiplication is an efficient method for implementation on general purpose computers and embedded microprocessors. It is the basic operation used in modular exponentiation which is required in the RSA public key cryptosystems. The algorithm uses simple divisions by a power of two instead of divisions by M which are used in a conventional modular operation and its implementation based on a fixed precision of the operands. In order to reduce the computation time by Radix-2 and Radix-4 algorithm and also to overcome the variable precision multiplication features although the number of partial product was reduced. The complexity of control and computational logic increased substantially at the same time. The approach was able to process an n-bit precision multiplication in approximately n clock cycles to simulate by Xilinx 12.3 tool using VHDL language.
Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...Tarik Reza Toha
The recent boost in the usage of high-performance computing systems in small research environments, such as those found at many universities, stipulates the need of smallscale distributed systems. Owning to the rapid growth in both computing power and heat, development of proper thermal and resource management becomes crucial concern of the research community along with the vendors to ensure efficiency for such systems. Moreover, an accurate and relatively fast strategy is needed for adaptation of different sizes of workload in such systems. Therefore, in this paper, we focus on developing simple prediction models of CPU temperature and usage for the systems. We investigate impacts of macro-level parameters such as the number of machines and different sizes of workload on CPU temperature and usage via real experiment. Our experimental results reveal that for a certain size of workload, the variation in CPU temperature and usage is minimal in response to a change in the number of machines, which does not hold in the reverse way. Hence, we develop workload-based prediction models for CPU temperature and usage. We evaluate the accuracy of our models by comparing the values calculated based on these models against the measurements found from real implementation.
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Scalable analytics for iaa s cloud ...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This book is a blend of history and fiction for a readable personified presentation of the Hindu mindset which appeared in the later half of the nineteenth century, after the demise of the Mughal Empire and the end of the Muslim rule in India.
It is a saga in a racy narrative of the life and time of a man who was extraordinarily intelligent, an intrepid fighter for his convictions, a master strategist and a fearless nationalist personifying the Hindu psyche of the post-Mughal renaissance period seeking inspiration from Chanakya’s Takshashila.
A rough set-based incremental approach for updating approximations under dyna...ecway
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Cloudsim distributed web systems performance forecasting using turning bands...
Dotnet a rough-set-based incremental approach for updating approximations under dynamic maintenance environments
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A ROUGH-SET-BASED INCREMENTAL APPROACH FOR UPDATING
APPROXIMATIONS UNDER DYNAMIC MAINTENANCE ENVIRONMENTS
ABSTRACT:
Approximations of a concept by a variable precision rough-set model (VPRS) usually vary under
a dynamic information system environment. It is thus effective to carry out incremental updating
approximations by utilizing previous data structures.
This paper focuses on a new incremental method for updating approximations of VPRS while
objects in the information system dynamically alter. It discusses properties of information
granulation and approximations under the dynamic environment while objects in the universe
evolve over time.
The variation of an attribute's domain is also considered to perform incremental updating for
approximations under VPRS. Finally, an extensive experimental evaluation validates the
efficiency of the proposed method for dynamic maintenance of VPRS approximations.
