Daniel W. Repperger, J. Warm, P. Havig, M. Vidulich, V. Finomore
{"title":"Modifying sensitivity/specificity for sensors using positive and negative predictive power measures","authors":"Daniel W. Repperger, J. Warm, P. Havig, M. Vidulich, V. Finomore","doi":"10.1109/NAECON.2009.5426630","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426630","url":null,"abstract":"In the collection of data from sensors in the field, the uncertainty in the data may compromise the ability to accurately predict the state of a system. Herein the standard signal detection theory problem is examined when nonstationary effects may occur in the data from the sensors. The use of PPP (positive predictive power) and NPP (negative predictive power) adds a new viewpoint on how to modify sensitivity and specificity measures in decision making involving multiple sensors. This is especially true when stationary properties in received data may be violated.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123993993","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}
{"title":"A reconfigurable spiking neural network digital ASIC simulation and implementation","authors":"Kevin Van Sickle, H. Abdel-Aty-Zohdy","doi":"10.1109/NAECON.2009.5426614","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426614","url":null,"abstract":"A reconfigurable spiking neural network is implemented in a 0.5µm CMOS digital tiny-chip. The connection weights are uploaded to registers on the ASIC. These weights are learned off-line, using combined simulated annealing and genetic algorithm. Large computational power and many simulations create small powerful networks that are adapted to interact with the environment. These configurations are swapped in and out of the ASIC to cope with varying situations and increase robustness. The network has been successfully tested with a simulated robot in a maze and can be extended for target recognition.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131289757","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}
{"title":"Automatic loop-shaping of QFT robust controllers","authors":"C. Molins, M. Garcia‐Sanz","doi":"10.1109/NAECON.2009.5426643","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426643","url":null,"abstract":"This paper introduces a methodology to design automatically QFT (Quantitative Feedback Theory) robust controllers for SISO (single input-single output) plants with model uncertainty. The method generalizes previous automatic loop-shaping techniques, avoiding restrictive assumptions about the search space. This methodology applies two strategies: a) Evolutionary Algorithms, and b) Genetic Algorithms (GA). In both cases the objective is to search the QFT robust controller that fulfils the control specifications for the whole set of plant models within the uncertainty. Each strategy has been applied to a benchmark in order to validate the techniques.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122598307","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}
{"title":"Mitigating 3G interferrence to GPS due to coexistence in 3G handset","authors":"Taher AlSharabati, Yinchao Chen","doi":"10.1109/NAECON.2009.5426648","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426648","url":null,"abstract":"Co existence of Global Positioning System services (GPS) with cellular and other services and features in a mobile handset presents challenges to GPS performance. Particularly challenging is the over the air (OTA) interface to the GPS receiver that results from carriers like the Global System for Mobile (GSM) and Wideband Code Division Multiple Access (WCDMA) where the transmit (TX) section of the latter could interfere with the performance of the GPS due to TX band noise injected into the GPS band. For the case of WCDMA, the problem is the out of band interference due to the TX wide band noise which has a spectrum that matches the GPS spectrum; both use spread spectrum technology to encode the data.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132675785","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}
K. Katko, M. Caffey, C. Little, T. Nelson, S. Robinson, D. Roussel-Dupre, Anthony Salazar
{"title":"A remote sensing lab in space","authors":"K. Katko, M. Caffey, C. Little, T. Nelson, S. Robinson, D. Roussel-Dupre, Anthony Salazar","doi":"10.1109/NAECON.2009.5426613","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426613","url":null,"abstract":"Cibola Flight Experiment is a small experimental satellite that hosts a reconfigurable computer payload. The configurable high speed processing unit has the power to do significant data compression and the flexibility to run a wide variety of applications. The reconfigurable computer is made up of networks of radiation tolerant SRAM-based Field Programmable Gate Arrays (FPGAs). The ability to reconfigure provides the flexibility to do a lot of things not usually possible in a space environment. Payload algorithm development continued while the spacecraft was being integrated for launch rather than being frozen months in advance. A library of applications resides on the spacecraft, making theater-specific payload configuration possible. Applications are in an on-going state of development and improvements. This has allowed the project to adjust to spacecraft and payload anomalies, real-world signal environments and a wide range of post-launch needs.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122247672","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}
Dave Saunders, S. Bingham, G. Menon, D. Crockett, Josh Tor, R. mende, M. Behrens, N. Jain, A. Alexanian, Rajanish
{"title":"A single-chip 24 GHz SiGe BiCMOS transceiver for low cost FMCW airborne radars","authors":"Dave Saunders, S. Bingham, G. Menon, D. Crockett, Josh Tor, R. mende, M. Behrens, N. Jain, A. Alexanian, Rajanish","doi":"10.1109/NAECON.2009.5426619","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426619","url":null,"abstract":"The design and measured results of a highly integrated FMCW radar transceiver are presented. The transceiver includes a transmitter with +7dBm output power and −82 dBc/Hz phase noise at 100 kHz, dual I/Q receivers with 10dB NF and 18 dB gain, PLL, 15-bit DAC, instrumentation amplifiers, LDO regulators, and a serial programming interface - all designed to operate from −40 to +125°C at 3.5V, 275 mA. Fabricated using Jazz Semiconductor's 0.18 µm SiGe BiCMOS process and packaged in a 32-pin 5 mm × 5 mm QFN, this RFIC has the highest level of integration at 24 GHz known to the authors.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132881828","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}
{"title":"NAECON08 grand challenge entry using the belief filter in audio-video track and ID fusion","authors":"Erik Blasch","doi":"10.1109/NAECON.2009.5426610","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426610","url":null,"abstract":"The IEEE NAECON2008 Challenge Problem competition was to observe, monitor, and determine the cause-effect relations in an audio-video data set. Acoustic-to-visual fusion establishes the relationships of events much as the human brain associates spatial-temporal audio and video feature data. A machine, like a human, can infer from the audio (hear) and the video (see) the cognitive processing relationships between perception and judgment using standard figures of merit (FOM). After downloading the data sets, a series of signal processing, image fusion, and tracking methods were applied to extract salient features for a belief filter (BF) to determine the cause-effect event of ball movement on a suspended object.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134024606","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}
{"title":"Rapid radio: A framework for human-assisted signal classification and receiver implementation","authors":"J. Surís, A. Recio, P. Athanas","doi":"10.1109/NAECON.2009.5426608","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426608","url":null,"abstract":"An analysis-based framework for the rapid development of a radio receiver for signals with unknown parameters is pro-posed, exploiting the reconfiguration capabilities of FPGAs. The framework guides a non-expert user through the process of signal classification and FPGA-based receiver implementation. System efficiency is traded off with implementation time in order to allow fast radio creation. A set of high-level transformations are applied to the unknown signal based on different hypothesis about the modulation scheme. The results of the transformations are presented to the user, who can steer the process of analysis. The parameters of the radio are then mapped by means of an Implementation Engine to modules implemented in a general purpose FPGA-based receiver.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132963384","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}
{"title":"Cognitive processing using spiking neural networks","authors":"Jacob N. Allen, H. Abdel-Aty-Zohdy, R. Ewing","doi":"10.1109/NAECON.2009.5426652","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426652","url":null,"abstract":"Powerful parallel cognitive processors can be developed by studying biologically plausible models of cognitive systems in animals and extrapolating key principles to be adapted for implementation in digital computer architectures. The network described here uses basic statistical methods such as proportion sampling on a massively parallel scale to create a general purpose pattern classifier. From these principles, we can achieve auto association and self organization that provides fundamental cognitive processing. Signal preprocessing is essential to transform the signal into a scale and rotation invariant binary pattern. The network avoids the curse of dimensionality by filtering out irrelevant inputs, allowing us to combine large sensor input vectors from multiple sources. Recent hardware designs define the network structure and state in memory, and then use accelerator processor cores to modify these memory structures in parallel.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121405458","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}
{"title":"Next-generation advances in cognitive processing using spiking neural networks for biochemical sensing, radar and rapid HDL","authors":"H. Abdel-Aty-Zohdy, Jacob N. Allen","doi":"10.1109/NAECON.2009.5426668","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426668","url":null,"abstract":"This invited plenary paper introduces a novel spiking neural network methodology, and applies it to an odorant learning, medical and radar detection applications. Rapid HDL is introduced as a 15 minute rapid prototyping approach, where real-time implementations will be demoed on FPGAs. The spike-time dependent plasticity can support coding schemes that are based on spatio-temporal spike patterns. Spiking (or pulsed) neural networks (SNNs) are models which explicitly take into account the timing of inputs. The network input and output are usually represented as series of spikes (delta function or more complex shapes). Plasticity SNNs have an advantage of being able to recurrently process information. Spike-time dependent plasticity can enhance signal transmission by selectively strengthening synaptic connections that transmit precisely timed spikes at the expense of those synapses that transmit poorly timed spikes.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126951060","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}