Pub Date : 2011-11-03DOI: 10.1109/RAICS.2011.6069444
Kiran Agarwal, V. Venkateswarlu, D. Anvekar, S. Basu
Shrinking of devices to deep sub micron technology have shifted focus of the VLSI CMOS chip circuit designers to new design issues such as sub threshold leakages, reduction of supply voltage and threshold voltages, DIBL (Drain induced Barrier lowering), leakage currents and speed optimization. The transistors at lower channel length show deviation to characteristics such as threshold variation, sub-threshold leakage currents and DIBL. This paper proposes a new voltage level shifter circuit to overcome leakage currents in short channel-devices and can save power up to 17–32% of power consumption compared to dual Vdd conventional level shifter. In this paper we present and analyze the simulation results of the proposed level shifter operated at 100 MHZ frequency. These results for delay, power and leakage current are obtained by varying load capacitance. The circuit is simulated using 0.18µm technology.
{"title":"A level shifter for deep-submicron node using multi-threshold technique","authors":"Kiran Agarwal, V. Venkateswarlu, D. Anvekar, S. Basu","doi":"10.1109/RAICS.2011.6069444","DOIUrl":"https://doi.org/10.1109/RAICS.2011.6069444","url":null,"abstract":"Shrinking of devices to deep sub micron technology have shifted focus of the VLSI CMOS chip circuit designers to new design issues such as sub threshold leakages, reduction of supply voltage and threshold voltages, DIBL (Drain induced Barrier lowering), leakage currents and speed optimization. The transistors at lower channel length show deviation to characteristics such as threshold variation, sub-threshold leakage currents and DIBL. This paper proposes a new voltage level shifter circuit to overcome leakage currents in short channel-devices and can save power up to 17–32% of power consumption compared to dual Vdd conventional level shifter. In this paper we present and analyze the simulation results of the proposed level shifter operated at 100 MHZ frequency. These results for delay, power and leakage current are obtained by varying load capacitance. The circuit is simulated using 0.18µm technology.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114223161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-11-03DOI: 10.1109/RAICS.2011.6069429
Rohan Nanda, P. Venkata krishna
Taking into account the recent growth in research and development in wireless sensor networks it has been shown that they have a lot of scope in future. It is more important to pay attention to the security of wireless sensor networks as they are highly prone to threats. In this paper we propose a protocol for establishing the security mechanism of wireless sensor networks and devising a scheme for preventing Denial of Service attacks. The protocol organizes the network using the derivative key to establish secure communication and also incorporates authentication check to detect any malicious sensor nodes. The paper discusses the harmful nature of Denial of Service attacks and the protocol incorporated to identify the malicious sender inflicting the attack on the server. The protocol not only defends the network against Denial of Service attacks but also maintains confidentiality, integrity and authenticity of data transmitted between sensor nodes.
{"title":"A self enforcing and flexible security protocol for preventing Denial of Service attacks in wireless sensor networks","authors":"Rohan Nanda, P. Venkata krishna","doi":"10.1109/RAICS.2011.6069429","DOIUrl":"https://doi.org/10.1109/RAICS.2011.6069429","url":null,"abstract":"Taking into account the recent growth in research and development in wireless sensor networks it has been shown that they have a lot of scope in future. It is more important to pay attention to the security of wireless sensor networks as they are highly prone to threats. In this paper we propose a protocol for establishing the security mechanism of wireless sensor networks and devising a scheme for preventing Denial of Service attacks. The protocol organizes the network using the derivative key to establish secure communication and also incorporates authentication check to detect any malicious sensor nodes. The paper discusses the harmful nature of Denial of Service attacks and the protocol incorporated to identify the malicious sender inflicting the attack on the server. The protocol not only defends the network against Denial of Service attacks but also maintains confidentiality, integrity and authenticity of data transmitted between sensor nodes.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128094846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-11-03DOI: 10.1109/RAICS.2011.6069327
B. Naresh, M. Vijaya Kumar, N. Y. Smieee
This paper presents a approach for tuning of proportional-integral control parameters through Genetic Algorithm (GA) to obtain optimal designed parameters. Intelligent Systems like GA is good searching algorithm that can be suitably adopted for optimal solutions. In this proposed approach, cost function specified in terms of integral time based absolute error is defined for GA. This method is applied for in implementation of Direct Torque Control (DTC) to illustrate its effective performance. The entire control scheme is implemented with Matlab/Simulink.
{"title":"GA based tuning of PI controller","authors":"B. Naresh, M. Vijaya Kumar, N. Y. Smieee","doi":"10.1109/RAICS.2011.6069327","DOIUrl":"https://doi.org/10.1109/RAICS.2011.6069327","url":null,"abstract":"This paper presents a approach for tuning of proportional-integral control parameters through Genetic Algorithm (GA) to obtain optimal designed parameters. Intelligent Systems like GA is good searching algorithm that can be suitably adopted for optimal solutions. In this proposed approach, cost function specified in terms of integral time based absolute error is defined for GA. This method is applied for in implementation of Direct Torque Control (DTC) to illustrate its effective performance. The entire control scheme is implemented with Matlab/Simulink.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121757980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-11-03DOI: 10.1109/RAICS.2011.6069411
S. Veera Ragavan, S. Ponnambalam, Cony Sumero
Service Robotic application deployments have taken a giant leap in complexity. They have been successfully deployed in wide range of applications from NASA Mars Rovers to domestic lawn mowers. Waypoint Navigation Systems (WNS) can now be used as an alternate Mobile Robot Navigation (MRN) technique with advances in Global Positioning Systems (GPS) and Global Information systems (GIS).Regardless of the application, the path planning and navigation has remained an important part of Mobile Robot application development. This paper presents two optimization algorithms to solve Path Planning Problem for Robot Navigation. The Particle Swarm Optimization (PSO) and Genetic Algorithm - Artificial Immune System (GA-AIS) were developed and implemented for the path optimization (shortest route) and the behavior of these two algorithms has been compared.
{"title":"Waypoint-based path planner for Mobile Robot Navigation using PSO and GA-AIS","authors":"S. Veera Ragavan, S. Ponnambalam, Cony Sumero","doi":"10.1109/RAICS.2011.6069411","DOIUrl":"https://doi.org/10.1109/RAICS.2011.6069411","url":null,"abstract":"Service Robotic application deployments have taken a giant leap in complexity. They have been successfully deployed in wide range of applications from NASA Mars Rovers to domestic lawn mowers. Waypoint Navigation Systems (WNS) can now be used as an alternate Mobile Robot Navigation (MRN) technique with advances in Global Positioning Systems (GPS) and Global Information systems (GIS).Regardless of the application, the path planning and navigation has remained an important part of Mobile Robot application development. This paper presents two optimization algorithms to solve Path Planning Problem for Robot Navigation. The Particle Swarm Optimization (PSO) and Genetic Algorithm - Artificial Immune System (GA-AIS) were developed and implemented for the path optimization (shortest route) and the behavior of these two algorithms has been compared.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130982156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-11-03DOI: 10.1109/RAICS.2011.6069421
Kedar Phatak, Swapnil Jakhade, Aniket Nene, Mrs R S Kamathe, Mrs K R Joshi, Asst Prof, Prof
Digital MR Image processing often requires a prior application of filters to reduce the noise level of the image while preserving important details. This may improve the quality of digital MR images and contribute to an accurate diagnosis. De-noising methods based on linear filters cannot preserve image structures such as edges in the same way that methods based on nonlinear filters can do it. Recently, a nonlinear de-noising method based on ICA has been introduced [1,2] for natural and artificial images. The functioning of the ICA de-noising method depends on the statistics of the images. In this paper, we show that MRI has statistics appropriate for ICA de-noising. ICA transform is applied on MRI and its 12 independent tissue components are separated and then by observing statistical properties of each component suitable sparse coding shrinkage function is applied for de-noising of each component. We demonstrate experimentally that ICA de-noising is a suitable method to remove the noise of digitized MRI.
{"title":"De-noising of magnetic resonance images using independent component analysis","authors":"Kedar Phatak, Swapnil Jakhade, Aniket Nene, Mrs R S Kamathe, Mrs K R Joshi, Asst Prof, Prof","doi":"10.1109/RAICS.2011.6069421","DOIUrl":"https://doi.org/10.1109/RAICS.2011.6069421","url":null,"abstract":"Digital MR Image processing often requires a prior application of filters to reduce the noise level of the image while preserving important details. This may improve the quality of digital MR images and contribute to an accurate diagnosis. De-noising methods based on linear filters cannot preserve image structures such as edges in the same way that methods based on nonlinear filters can do it. Recently, a nonlinear de-noising method based on ICA has been introduced [1,2] for natural and artificial images. The functioning of the ICA de-noising method depends on the statistics of the images. In this paper, we show that MRI has statistics appropriate for ICA de-noising. ICA transform is applied on MRI and its 12 independent tissue components are separated and then by observing statistical properties of each component suitable sparse coding shrinkage function is applied for de-noising of each component. We demonstrate experimentally that ICA de-noising is a suitable method to remove the noise of digitized MRI.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124098385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-11-03DOI: 10.1109/RAICS.2011.6069407
S. B. Rini Jones, P. Poongodi, L. S. Binu
Wind tunnels are being used to study the aerodynamic properties of race cars, fighter planes etc. Hypersonic wind tunnels operate at hypersonic speeds ie, with a mach number greater than 6. For doing experiments, it is necessary to maintain a constant pressure in the settling chamber of the tunnel so that we get the desired mach number and mass flow rate through the nozzle. The Back stepping control is a systematic and recursive design methodology for nonlinear feedback control. Here, a back stepping controller is designed using the stabilizing approach and the mass flow rate of hypersonic intermittent blow down type wind tunnel is controlled.
{"title":"Stabilizing controller using backstepping for steady mass flow in a wind tunnel","authors":"S. B. Rini Jones, P. Poongodi, L. S. Binu","doi":"10.1109/RAICS.2011.6069407","DOIUrl":"https://doi.org/10.1109/RAICS.2011.6069407","url":null,"abstract":"Wind tunnels are being used to study the aerodynamic properties of race cars, fighter planes etc. Hypersonic wind tunnels operate at hypersonic speeds ie, with a mach number greater than 6. For doing experiments, it is necessary to maintain a constant pressure in the settling chamber of the tunnel so that we get the desired mach number and mass flow rate through the nozzle. The Back stepping control is a systematic and recursive design methodology for nonlinear feedback control. Here, a back stepping controller is designed using the stabilizing approach and the mass flow rate of hypersonic intermittent blow down type wind tunnel is controlled.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124168715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-11-03DOI: 10.1109/RAICS.2011.6069439
Ch. V. M. K. Hari, T. S. Sethi, B. Kaushal, Abhishek Sharma
One of the challenges faced by the managers in the software industry today is the ability to accurately define the requirements of the software projects early in the software development phase. The cost-benefit analysis forms the basis of the planning and decision making throughout the software development lifecycle. As such there is a need for efficient software cost estimation techniques for making any endeavor viable. Software cost estimation is the process of prognosticating the amount of effort required to build a software project. In this paper we have proposed a Particle Swarm Optimization (PSO) technique which operates on data sets clustered using the K-means clustering algorithm. PSO is employed to generate parameters of the COCOMO model for each cluster of data values. The clusters and effort parameters are then trained to a Neural Network by using Back propagation technique, for classification of data. Here we have tested the model on the COCOMO 81 dataset and also compared the obtained values with standard COCOMO model. By making use of the experience from Neural Networks and the efficient tuning of parameters by PSO operating on clusters, the proposed model is able to generate better results and it can be applied efficiently to larger data sets.
{"title":"CPN-a hybrid model for software cost estimation","authors":"Ch. V. M. K. Hari, T. S. Sethi, B. Kaushal, Abhishek Sharma","doi":"10.1109/RAICS.2011.6069439","DOIUrl":"https://doi.org/10.1109/RAICS.2011.6069439","url":null,"abstract":"One of the challenges faced by the managers in the software industry today is the ability to accurately define the requirements of the software projects early in the software development phase. The cost-benefit analysis forms the basis of the planning and decision making throughout the software development lifecycle. As such there is a need for efficient software cost estimation techniques for making any endeavor viable. Software cost estimation is the process of prognosticating the amount of effort required to build a software project. In this paper we have proposed a Particle Swarm Optimization (PSO) technique which operates on data sets clustered using the K-means clustering algorithm. PSO is employed to generate parameters of the COCOMO model for each cluster of data values. The clusters and effort parameters are then trained to a Neural Network by using Back propagation technique, for classification of data. Here we have tested the model on the COCOMO 81 dataset and also compared the obtained values with standard COCOMO model. By making use of the experience from Neural Networks and the efficient tuning of parameters by PSO operating on clusters, the proposed model is able to generate better results and it can be applied efficiently to larger data sets.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114659424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-11-03DOI: 10.1109/RAICS.2011.6069431
T. N. Rickesh, B. Naveen Vignesh
In the current scenario there has been a significant increase in the accidents rate pertaining to reasons like blind spots and confusing lanes. This paper presents a novel idea with use of augmented reality to overcome such issues. In this idea we obtain the 3-D view of the surroundings, including blind spot's view using stereo vision. The results were tested on a miniature scale, were examined under various circumstances and were positive.
{"title":"Augmented reality solution to the blind spot issue while driving vehicles","authors":"T. N. Rickesh, B. Naveen Vignesh","doi":"10.1109/RAICS.2011.6069431","DOIUrl":"https://doi.org/10.1109/RAICS.2011.6069431","url":null,"abstract":"In the current scenario there has been a significant increase in the accidents rate pertaining to reasons like blind spots and confusing lanes. This paper presents a novel idea with use of augmented reality to overcome such issues. In this idea we obtain the 3-D view of the surroundings, including blind spot's view using stereo vision. The results were tested on a miniature scale, were examined under various circumstances and were positive.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123425402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-11-03DOI: 10.1109/RAICS.2011.6069394
Ananda Maiti, B. Tripathy
Remote Engineering is a current trend in engineering and science, aiming to allow and organize a shared use of equipment and resources. In this paper, we discuss the hybrid time scheduling scheme for conducting experiments in an online remotely-triggered laboratory. The scheme has been implemented in the NETLab online laboratory management system. Some of its drawbacks and possible solution are presented.
{"title":"An improved scheduling scheme for the management of online laboratories","authors":"Ananda Maiti, B. Tripathy","doi":"10.1109/RAICS.2011.6069394","DOIUrl":"https://doi.org/10.1109/RAICS.2011.6069394","url":null,"abstract":"Remote Engineering is a current trend in engineering and science, aiming to allow and organize a shared use of equipment and resources. In this paper, we discuss the hybrid time scheduling scheme for conducting experiments in an online remotely-triggered laboratory. The scheme has been implemented in the NETLab online laboratory management system. Some of its drawbacks and possible solution are presented.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117113007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-11-03DOI: 10.1109/RAICS.2011.6069442
Rajini Honnungar, T. R. Yadunath, P. Sujitha, Talabattula Srinivas
A novel scheme for generation of phase using optical delay lines is proposed. The design of the optical components in the circuit which includes the S bend waveguides and straight waveguide couplers are very important for integrated optics. Beam propagation Method and MatLab is employed for the design.
{"title":"Design of S bend waveguides for delay line applications in integrated optics","authors":"Rajini Honnungar, T. R. Yadunath, P. Sujitha, Talabattula Srinivas","doi":"10.1109/RAICS.2011.6069442","DOIUrl":"https://doi.org/10.1109/RAICS.2011.6069442","url":null,"abstract":"A novel scheme for generation of phase using optical delay lines is proposed. The design of the optical components in the circuit which includes the S bend waveguides and straight waveguide couplers are very important for integrated optics. Beam propagation Method and MatLab is employed for the design.","PeriodicalId":394515,"journal":{"name":"2011 IEEE Recent Advances in Intelligent Computational Systems","volume":"400 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120876472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}