Khalil Zebbiche, L. Ghouti, F. Khelifi, A. Bouridane
A motivation for the use of watermarking techniques in biometric systems has been the need to provide increased security to the biometrics data themselves. We introduce an application of wavelet-based watermarking method to hide the fingerprint minutiae data in fingerprint images. The application provides a high security to both hidden data (i.e. fingerprint minutiae) that have to be transmitted and the host image (i.e. fingerprint). The original unmarked fingerprint image is not required to extract the minutiae data. The method is essentially introduced to increase the security of fingerprint minutiae transmission and can also used to protect the original fingerprint image
{"title":"Protecting Fingerprint Data Using Watermarking","authors":"Khalil Zebbiche, L. Ghouti, F. Khelifi, A. Bouridane","doi":"10.1109/AHS.2006.61","DOIUrl":"https://doi.org/10.1109/AHS.2006.61","url":null,"abstract":"A motivation for the use of watermarking techniques in biometric systems has been the need to provide increased security to the biometrics data themselves. We introduce an application of wavelet-based watermarking method to hide the fingerprint minutiae data in fingerprint images. The application provides a high security to both hidden data (i.e. fingerprint minutiae) that have to be transmitted and the host image (i.e. fingerprint). The original unmarked fingerprint image is not required to extract the minutiae data. The method is essentially introduced to increase the security of fingerprint minutiae transmission and can also used to protect the original fingerprint image","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126125042","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}
Recovery from fault (or malfunction) and maintaining constant performance in the presence of unusual events is a major concern in a wide range of applications. Therefore, there is a need for hardware that is capable of changing (or adjusting) its behaviour dynamically and autonomously. In this paper, a state-space analytical model for the real-time detection of unusual events and repair is proposed
{"title":"State-Space Based Analytical Modelling for Real-Time Fault Recovery and Self-Repair with Applications to Biosensors","authors":"H. Kadim","doi":"10.1109/AHS.2006.66","DOIUrl":"https://doi.org/10.1109/AHS.2006.66","url":null,"abstract":"Recovery from fault (or malfunction) and maintaining constant performance in the presence of unusual events is a major concern in a wide range of applications. Therefore, there is a need for hardware that is capable of changing (or adjusting) its behaviour dynamically and autonomously. In this paper, a state-space analytical model for the real-time detection of unusual events and repair is proposed","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130086176","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}
In this paper, a new method for the state space representation of a system is proposed, which is based on the companion form technique. It is very important to have almost equal coefficients of state space equations since their coefficients are proportional to devices' currents or voltages, e.g. transistors' currents for log domain filters. The method gives us the opportunity to choose two arbitrary parameters (alpha, beta) to be able to obtain more balanced state space equations. This method is applied a log domain filter, which can be considered an adaptive filter since it can be electronically tuned. It is particularly useful for higher order log domain filters synthesized in the state space
{"title":"A New State Space Representation Method for Adaptive Log Domain Systems","authors":"R. Arslanalp, A. T. Tola","doi":"10.1109/AHS.2006.10","DOIUrl":"https://doi.org/10.1109/AHS.2006.10","url":null,"abstract":"In this paper, a new method for the state space representation of a system is proposed, which is based on the companion form technique. It is very important to have almost equal coefficients of state space equations since their coefficients are proportional to devices' currents or voltages, e.g. transistors' currents for log domain filters. The method gives us the opportunity to choose two arbitrary parameters (alpha, beta) to be able to obtain more balanced state space equations. This method is applied a log domain filter, which can be considered an adaptive filter since it can be electronically tuned. It is particularly useful for higher order log domain filters synthesized in the state space","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125470250","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}
Adaptive antenna technology represents the most advanced smart antenna approach to date. Using a variety of new signal-processing algorithms, the adaptive system takes advantage of its ability to effectively locate and track various types of signals to dynamically minimize interference and maximize intended signal reception. This paper presents the design and development of a micro-antenna for SoC, working at 43.763 GHz and controlled by independent MEMS based DMTL phase shifters which are low power in nature. We have also explored other required low power SoC devices which would also have the ability to reconfigure to the demands of our communication device. This in turn will enhance the desirability of our adaptive antenna for future low power mobile devices. The criteria for such a device must be its small size, a functionality that must make it possible to use over a wide variety of applications and similar fabrication techniques as with the rest of the SoC design. Our MEMS based design allows us to have all the communication and control circuitry on a single silicon substrate; enabling easy fabrication
{"title":"Adaptive Micro-Antenna on Silicon Substrate","authors":"N. Haridas, A. Erdogan, T. Arslan, M. Begbie","doi":"10.1109/AHS.2006.15","DOIUrl":"https://doi.org/10.1109/AHS.2006.15","url":null,"abstract":"Adaptive antenna technology represents the most advanced smart antenna approach to date. Using a variety of new signal-processing algorithms, the adaptive system takes advantage of its ability to effectively locate and track various types of signals to dynamically minimize interference and maximize intended signal reception. This paper presents the design and development of a micro-antenna for SoC, working at 43.763 GHz and controlled by independent MEMS based DMTL phase shifters which are low power in nature. We have also explored other required low power SoC devices which would also have the ability to reconfigure to the demands of our communication device. This in turn will enhance the desirability of our adaptive antenna for future low power mobile devices. The criteria for such a device must be its small size, a functionality that must make it possible to use over a wide variety of applications and similar fabrication techniques as with the rest of the SoC design. Our MEMS based design allows us to have all the communication and control circuitry on a single silicon substrate; enabling easy fabrication","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133213471","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}
Wireless sensor networks require the design of highly energy-efficient and yet flexible sensor nodes, which is very difficult to realize with classical architectures. In this paper we propose a new approach based on the tight coupling of a small processor with a dynamically reconfigurable function unit that is optimized for wireless sensor network applications. Dynamic reconfiguration is part of the regular operation mode and the key concept to achieve a small design that provides sufficient performance, high adaptivity and good energy-efficiency
{"title":"Design Concepts for a Dynamically ReconfigurableWireless Sensor Node","authors":"H. Hinkelmann, P. Zipf, M. Glesner","doi":"10.1109/AHS.2006.30","DOIUrl":"https://doi.org/10.1109/AHS.2006.30","url":null,"abstract":"Wireless sensor networks require the design of highly energy-efficient and yet flexible sensor nodes, which is very difficult to realize with classical architectures. In this paper we propose a new approach based on the tight coupling of a small processor with a dynamically reconfigurable function unit that is optimized for wireless sensor network applications. Dynamic reconfiguration is part of the regular operation mode and the key concept to achieve a small design that provides sufficient performance, high adaptivity and good energy-efficiency","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114721540","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}
Self-reconfigurable adaptive systems have the possibility of adapting their own hardware configuration. This feature provides enhanced performance and flexibility, reflected in computational cost reductions. Self-reconfigurable adaptation requires powerful optimization algorithms in order to search in a space of possible hardware configurations. If such algorithms are to be implemented on chip, they must also be as simple as possible, so the best performance can be achieved with the less cost in terms of logic resources, convergence speed, and power consumption. This paper presents hybrid bio-inspired optimization technique that introduces the concept of discrete recombination in a particle swarm optimizer, obtaining a simple and powerful algorithm, well suited for embedded applications. The proposed algorithm is validated using standard benchmark functions and used for training a neural network-based adaptive equalizer for communications systems
{"title":"Particle Swarm Optimization with Discrete Recombination: An Online Optimizer for Evolvable Hardware","authors":"Jorge Peña, A. Upegui, E. Sanchez","doi":"10.1109/AHS.2006.56","DOIUrl":"https://doi.org/10.1109/AHS.2006.56","url":null,"abstract":"Self-reconfigurable adaptive systems have the possibility of adapting their own hardware configuration. This feature provides enhanced performance and flexibility, reflected in computational cost reductions. Self-reconfigurable adaptation requires powerful optimization algorithms in order to search in a space of possible hardware configurations. If such algorithms are to be implemented on chip, they must also be as simple as possible, so the best performance can be achieved with the less cost in terms of logic resources, convergence speed, and power consumption. This paper presents hybrid bio-inspired optimization technique that introduces the concept of discrete recombination in a particle swarm optimizer, obtaining a simple and powerful algorithm, well suited for embedded applications. The proposed algorithm is validated using standard benchmark functions and used for training a neural network-based adaptive equalizer for communications systems","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114951107","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}
R. Liu, Sanyou Zeng, L. Ding, Lishan Kang, Hui Li, Yuping Chen, Yong Liu, Yueping Han
In this paper we introduce an efficient multi-objective evolutionary algorithm (EMOEA) to design circuits. The algorithm is based on non-dominated set for keeping diversity of the population and therefore, avoids trapping in local optimal. Encoding of the chromosome is based on J. F. Miller's implementation, but we use efficient methods to evaluate and evolve circuits for speeding up the convergence of the algorithm. This algorithm evolves complex combinational circuits (such as 3-bit multiplier and 4 bit full adder) without too much long time evolution (commonly less than 5,000,000)
{"title":"An Efficient Multi-Objective Evolutionary Algorithm for Combinational Circuit Design","authors":"R. Liu, Sanyou Zeng, L. Ding, Lishan Kang, Hui Li, Yuping Chen, Yong Liu, Yueping Han","doi":"10.1109/AHS.2006.21","DOIUrl":"https://doi.org/10.1109/AHS.2006.21","url":null,"abstract":"In this paper we introduce an efficient multi-objective evolutionary algorithm (EMOEA) to design circuits. The algorithm is based on non-dominated set for keeping diversity of the population and therefore, avoids trapping in local optimal. Encoding of the chromosome is based on J. F. Miller's implementation, but we use efficient methods to evaluate and evolve circuits for speeding up the convergence of the algorithm. This algorithm evolves complex combinational circuits (such as 3-bit multiplier and 4 bit full adder) without too much long time evolution (commonly less than 5,000,000)","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128944559","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}
A self-configurable system is one that is designed primarily for the purpose of reconfigurable control and adaptive signal processing. It evolves by restructures and readjustments back and forth which can track the environment and the system variation in time. Processing methods and application areas include but not limited to transmission enhancement such as filtering, equalization, and noise cancellation. The performance of our proposed self-configurable neural network processor (SCNNP) for finite impulse response (FIR) filter are compared with those of the classical FIR filters and the traditional adaptive FIR filters. The SCNNP is an autonomous system which does not need human design knowledge of the FIR filter
{"title":"Self-Configurable Neural Network Processor for FIR Filter Applications","authors":"Gorn Tepvorachai, C. Papachristou","doi":"10.1109/AHS.2006.65","DOIUrl":"https://doi.org/10.1109/AHS.2006.65","url":null,"abstract":"A self-configurable system is one that is designed primarily for the purpose of reconfigurable control and adaptive signal processing. It evolves by restructures and readjustments back and forth which can track the environment and the system variation in time. Processing methods and application areas include but not limited to transmission enhancement such as filtering, equalization, and noise cancellation. The performance of our proposed self-configurable neural network processor (SCNNP) for finite impulse response (FIR) filter are compared with those of the classical FIR filters and the traditional adaptive FIR filters. The SCNNP is an autonomous system which does not need human design knowledge of the FIR filter","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"558 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124686899","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}
The stochastic Bernstein method (not to be confused with the Bernstein polynomials) is a novel and significantly improved non-polynomial global method of signal processing that is proving very useful for interpolating and for approximating data. It arose as an obvious extension of the work of Bernstein (it preserves some of the remarkable properties of the Bernstein polynomials). However, this extension means that stochastic interpolation takes on its own properties and additionally can replace the error function by other functions such as the arctangent. The method has a free parameter sigma known as its diffusivity that can be easily optimized with adaptivity and can interpolate or approximate non-uniformly distributed input data - something that is very awkward to set up with other methods. Adaptivity can also reverse engineer the non-uniformly distributed input data that best recovers a function. This short paper provides an introduction to the new mathematical method that should find wide application in many areas of science and engineering
{"title":"The Novel Stochastic Bernstein Method of Functional Approximation","authors":"J. Kolibal, Daniel Howard","doi":"10.1109/AHS.2006.73","DOIUrl":"https://doi.org/10.1109/AHS.2006.73","url":null,"abstract":"The stochastic Bernstein method (not to be confused with the Bernstein polynomials) is a novel and significantly improved non-polynomial global method of signal processing that is proving very useful for interpolating and for approximating data. It arose as an obvious extension of the work of Bernstein (it preserves some of the remarkable properties of the Bernstein polynomials). However, this extension means that stochastic interpolation takes on its own properties and additionally can replace the error function by other functions such as the arctangent. The method has a free parameter sigma known as its diffusivity that can be easily optimized with adaptivity and can interpolate or approximate non-uniformly distributed input data - something that is very awkward to set up with other methods. Adaptivity can also reverse engineer the non-uniformly distributed input data that best recovers a function. This short paper provides an introduction to the new mathematical method that should find wide application in many areas of science and engineering","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130008015","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}
In this paper digital part of a self-calibrating quadrature-receiver is described, containing a digital calibration-engine. The blind source-separation-based calibration-engine eliminates the RF-impairments in real-time hence improving the receiver's performance without the need for test/pilot tones, trimming or use of power-hungry discrete components. Furthermore, an efficient time-multiplexed calibration-engine architecture is proposed and implemented on an FPGA utilising a reduced-range multiplier structure. The use of reduced-range multipliers results in substantial reduction of area as well as power consumption without a compromise in performance when compared with an efficiently designed general purpose multiplier. The performance of the calibration-engine does not depend on the modulation format or the constellation size of the received signal; hence it can be easily integrated into the digital signal processing paths of any receiver
{"title":"A Low-Complexity Self-Calibrating Adaptive Quadrature Receiver","authors":"E. Çetin, S. Demirsoy, I. Kale, R. Morling","doi":"10.1109/AHS.2006.7","DOIUrl":"https://doi.org/10.1109/AHS.2006.7","url":null,"abstract":"In this paper digital part of a self-calibrating quadrature-receiver is described, containing a digital calibration-engine. The blind source-separation-based calibration-engine eliminates the RF-impairments in real-time hence improving the receiver's performance without the need for test/pilot tones, trimming or use of power-hungry discrete components. Furthermore, an efficient time-multiplexed calibration-engine architecture is proposed and implemented on an FPGA utilising a reduced-range multiplier structure. The use of reduced-range multipliers results in substantial reduction of area as well as power consumption without a compromise in performance when compared with an efficiently designed general purpose multiplier. The performance of the calibration-engine does not depend on the modulation format or the constellation size of the received signal; hence it can be easily integrated into the digital signal processing paths of any receiver","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134347566","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}
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