Pub Date : 2017-06-27DOI: 10.1109/NAECON.2017.8268746
Md. Zahangir Alom, T. Taha
In the paper, we demonstrate novel approach for network Intrusion Detection System (IDS) for cyber security using unsupervised Deep Learning (DL) techniques. Very often, the supervised learning and rules based approach like SNORT fetch problem to identify new type of attacks. In this implementation, the input samples are numerical encoded and applied un-supervised deep learning techniques called Auto Encoder (AE) and Restricted Boltzmann Machine (RBM) for feature extraction and dimensionality reduction. Then iterative k-means clustering is applied for clustering on lower dimension space with only 3 features. In addition, Unsupervised Extreme Learning Machine (UELM) is used for network intrusion detection in this implementation. We have experimented on KDD-99 dataset, the experimental results show around 91.86% and 92.12% detection accuracy using unsupervised deep learning technique AE and RBM with K-means respectively. The experimental results also demonstrate, the proposed approach shows around 4.4% and 2.95% improvement of detection accuracy using RBM with K-means against only K-mean clustering and Unsupervised Extreme Learning Machine (USELM) respectively.
{"title":"Network intrusion detection for cyber security using unsupervised deep learning approaches","authors":"Md. Zahangir Alom, T. Taha","doi":"10.1109/NAECON.2017.8268746","DOIUrl":"https://doi.org/10.1109/NAECON.2017.8268746","url":null,"abstract":"In the paper, we demonstrate novel approach for network Intrusion Detection System (IDS) for cyber security using unsupervised Deep Learning (DL) techniques. Very often, the supervised learning and rules based approach like SNORT fetch problem to identify new type of attacks. In this implementation, the input samples are numerical encoded and applied un-supervised deep learning techniques called Auto Encoder (AE) and Restricted Boltzmann Machine (RBM) for feature extraction and dimensionality reduction. Then iterative k-means clustering is applied for clustering on lower dimension space with only 3 features. In addition, Unsupervised Extreme Learning Machine (UELM) is used for network intrusion detection in this implementation. We have experimented on KDD-99 dataset, the experimental results show around 91.86% and 92.12% detection accuracy using unsupervised deep learning technique AE and RBM with K-means respectively. The experimental results also demonstrate, the proposed approach shows around 4.4% and 2.95% improvement of detection accuracy using RBM with K-means against only K-mean clustering and Unsupervised Extreme Learning Machine (USELM) respectively.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133515906","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 : 2017-06-27DOI: 10.1109/NAECON.2017.8268750
K. Cashion, Satish Ravindran, Nilesh U. Powar, Joshua Gold
Currently, the Internet of Things (IOT) platform used by large buildings to manage the indoor climate uses different controllers and sensors from multiple manufacturers. Communication between these devices requires a human in the loop to translate each devices data to to be compatible with a common integration engine and storage historian. The subject matter expert needs to decipher the non-standard naming convention used for each device and manually translate thousands of codes each time a new device has to be integrated. To aid the human translator, we propose a technique to implement a smart translator using Deep Neural Networks (DNN) by automatically assigning any registers with recognized data patterns to standardized labels.
{"title":"IOT device code translators using LSTM networks","authors":"K. Cashion, Satish Ravindran, Nilesh U. Powar, Joshua Gold","doi":"10.1109/NAECON.2017.8268750","DOIUrl":"https://doi.org/10.1109/NAECON.2017.8268750","url":null,"abstract":"Currently, the Internet of Things (IOT) platform used by large buildings to manage the indoor climate uses different controllers and sensors from multiple manufacturers. Communication between these devices requires a human in the loop to translate each devices data to to be compatible with a common integration engine and storage historian. The subject matter expert needs to decipher the non-standard naming convention used for each device and manually translate thousands of codes each time a new device has to be integrated. To aid the human translator, we propose a technique to implement a smart translator using Deep Neural Networks (DNN) by automatically assigning any registers with recognized data patterns to standardized labels.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133028549","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 : 2017-06-01DOI: 10.1109/NAECON.2017.8268783
A. Muntaser, Hamed Elwarfalli, A. Suleiman, G. Subramanyam
Hybrid electrical vehicles have become widely used over the last 20 years, which made the energy systems of these vehicles a very common area of research. The purpose of this research is to design an energy storage system for a hybrid electrical vehicle controlled by two different controllers (Conventional PID and modern Fuzzy logic controllers FLC). The main goals of these controllers are to eliminate the energy loss throughout the system components (mainly the lithium ion battery and the Ultra-capacitors), and to produce a perfect system response which deliver the exact power demand needed at the output. This paper also compares these two controllers in terms of design and performance.
{"title":"Design and implementation of conventional (PID) and modern (Fuzzy logic) controllers for an energy storage system of hybrid electric vehicles","authors":"A. Muntaser, Hamed Elwarfalli, A. Suleiman, G. Subramanyam","doi":"10.1109/NAECON.2017.8268783","DOIUrl":"https://doi.org/10.1109/NAECON.2017.8268783","url":null,"abstract":"Hybrid electrical vehicles have become widely used over the last 20 years, which made the energy systems of these vehicles a very common area of research. The purpose of this research is to design an energy storage system for a hybrid electrical vehicle controlled by two different controllers (Conventional PID and modern Fuzzy logic controllers FLC). The main goals of these controllers are to eliminate the energy loss throughout the system components (mainly the lithium ion battery and the Ultra-capacitors), and to produce a perfect system response which deliver the exact power demand needed at the output. This paper also compares these two controllers in terms of design and performance.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116700635","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 : 2017-06-01DOI: 10.1109/NAECON.2017.8268764
K. Allen, D. Dykes, D. Reid, J. Bean, D. Landgren, R. T. Lee, D. Denison
Metasurfaces enable a new avenue to engineered responses of the electromagnetic scattering characteristics through the control and manipulation of the wavefronts. The wavefronts are tuned by altering deeply sub-wavelength structural features on the metasurface. In this work, a heuristic technique is used where the conductive topology of the metasurfaces for a fixed form factor is optimized by a multi-objective genetic algorithm mimicking evolutionary processes. Analysis is performed for the engineered metasurface responses for frequency-selectivity, absorption, rasorber characteristics, and photonic nanojet generation. Computational electromagnetic simulations for these engineered metasurfaces are presented and discussed. The concepts presented in this work can be applied to design metasurfaces and metamaterials from the microwave to the optical regimes.
{"title":"Metasurface engineering via evolutionary processes","authors":"K. Allen, D. Dykes, D. Reid, J. Bean, D. Landgren, R. T. Lee, D. Denison","doi":"10.1109/NAECON.2017.8268764","DOIUrl":"https://doi.org/10.1109/NAECON.2017.8268764","url":null,"abstract":"Metasurfaces enable a new avenue to engineered responses of the electromagnetic scattering characteristics through the control and manipulation of the wavefronts. The wavefronts are tuned by altering deeply sub-wavelength structural features on the metasurface. In this work, a heuristic technique is used where the conductive topology of the metasurfaces for a fixed form factor is optimized by a multi-objective genetic algorithm mimicking evolutionary processes. Analysis is performed for the engineered metasurface responses for frequency-selectivity, absorption, rasorber characteristics, and photonic nanojet generation. Computational electromagnetic simulations for these engineered metasurfaces are presented and discussed. The concepts presented in this work can be applied to design metasurfaces and metamaterials from the microwave to the optical regimes.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124972132","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 : 2017-06-01DOI: 10.1109/NAECON.2017.8268778
Neeraj Rathi, M. Kakani, M. El-Sharkawy, M. Rizkalla
In today's society fall has become a very serious issue and also a threat to older generation. Fall leads to major injuries, physical disability and sometimes death. Therefore, there is a need to design a dependable embedded system device which will help in detecting the fall and further sends an emergency notification and thus helps in preventing the fall. Many researchers have considered human fall as an unpredictable danger to the life of older generation. Hence lot of research has been done in this area to develop a fall detection system. The existing fall detection systems are efficient but they lack in sensor optimization, early fall detection and efficient wireless communication. In this study, we have demonstrated a pre-fall detection system which detects human falls approximately 250 ms before it occurs. Early fall detection helps in preventing the subject from serious injuries. The designed system monitors user balanced and unbalanced state. Once the unbalance state is detected the system signifies it as a fall, thus gives milliseconds of time to trigger the safety devices like wearable airbag worn by a subject. On fall the system sends emergency notification to the care taker using either Internet of things (IoT) or Bluetooth low energy (BLE). The Hardware system is designed such that it consumes low power and it is a dependable embedded system with easy to wear capabilities for the subject. The designed system uses Arm Processor associated with motion sensors, communication sensors, Signal sensor and MicroSD Card. The software and hardware combination was developed to get optimal low power consumption by switching the CPU between active and sleep mode. The practical experiments performed on the designed system results in giving the 100% sensitivity and 98.07% specificity for fall detection. The wireless communication is efficiently designed such that the power is consumed only when the fall is triggered. The designed system acknowledges the difference between activity of daily living (ADL) like walking, sitting running, and climbing stairs with actual fall.
{"title":"Wearable low power pre-fall detection system with IoT and bluetooth capabilities","authors":"Neeraj Rathi, M. Kakani, M. El-Sharkawy, M. Rizkalla","doi":"10.1109/NAECON.2017.8268778","DOIUrl":"https://doi.org/10.1109/NAECON.2017.8268778","url":null,"abstract":"In today's society fall has become a very serious issue and also a threat to older generation. Fall leads to major injuries, physical disability and sometimes death. Therefore, there is a need to design a dependable embedded system device which will help in detecting the fall and further sends an emergency notification and thus helps in preventing the fall. Many researchers have considered human fall as an unpredictable danger to the life of older generation. Hence lot of research has been done in this area to develop a fall detection system. The existing fall detection systems are efficient but they lack in sensor optimization, early fall detection and efficient wireless communication. In this study, we have demonstrated a pre-fall detection system which detects human falls approximately 250 ms before it occurs. Early fall detection helps in preventing the subject from serious injuries. The designed system monitors user balanced and unbalanced state. Once the unbalance state is detected the system signifies it as a fall, thus gives milliseconds of time to trigger the safety devices like wearable airbag worn by a subject. On fall the system sends emergency notification to the care taker using either Internet of things (IoT) or Bluetooth low energy (BLE). The Hardware system is designed such that it consumes low power and it is a dependable embedded system with easy to wear capabilities for the subject. The designed system uses Arm Processor associated with motion sensors, communication sensors, Signal sensor and MicroSD Card. The software and hardware combination was developed to get optimal low power consumption by switching the CPU between active and sleep mode. The practical experiments performed on the designed system results in giving the 100% sensitivity and 98.07% specificity for fall detection. The wireless communication is efficiently designed such that the power is consumed only when the fall is triggered. The designed system acknowledges the difference between activity of daily living (ADL) like walking, sitting running, and climbing stairs with actual fall.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128697303","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 : 2017-06-01DOI: 10.1109/NAECON.2017.8268770
Farzaneh Abolmaali, Yangcheng Li, K. Allen, N. Limberopoulos, A. Urbas, Y. Rakovich, A. Maslov, V. Astratov
Based on analogy between quantum mechanics and the classical electrodynamics, we sorted dielectric microspheres with almost identical positions of their whispering gallery mode (WGM) resonances as photonic atoms. Such microspheres were assembled in a wide range of structures including linear chains and planar photonic molecules. We studied WGM hybridization effects in such structures using side coupling by tapered microfibers as well as finite difference time domain modeling. We demonstrated potential sensing functionality as well as new ways of controlling WGM coupling constants in such molecules. Excellent agreement was found between measured and calculated fiber-transmission spectra for different molecules.
{"title":"Photonic molecules and sensors based on coupling between whispering gallery modes in microspheres","authors":"Farzaneh Abolmaali, Yangcheng Li, K. Allen, N. Limberopoulos, A. Urbas, Y. Rakovich, A. Maslov, V. Astratov","doi":"10.1109/NAECON.2017.8268770","DOIUrl":"https://doi.org/10.1109/NAECON.2017.8268770","url":null,"abstract":"Based on analogy between quantum mechanics and the classical electrodynamics, we sorted dielectric microspheres with almost identical positions of their whispering gallery mode (WGM) resonances as photonic atoms. Such microspheres were assembled in a wide range of structures including linear chains and planar photonic molecules. We studied WGM hybridization effects in such structures using side coupling by tapered microfibers as well as finite difference time domain modeling. We demonstrated potential sensing functionality as well as new ways of controlling WGM coupling constants in such molecules. Excellent agreement was found between measured and calculated fiber-transmission spectra for different molecules.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128342839","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 : 2017-06-01DOI: 10.1109/NAECON.2017.8268794
Shuo Li, H. Xue, Xiaomeng Zhang, S. Ren
A CMOS 90 nm technology peak detector is presented in this paper used for detecting active circuit process, voltage, temperature (PVT) variation error. The detector can transfer AC input amplitude to corresponding DC voltage. Such DC output can be recognized and compared to determine whether active circuit needs to be compensated to eliminate the PVT variation error. The detection output range is from 100 mV to 680 mV, corresponding to input amplitude varying from 100 mV to 500 mV. The detective frequency range is 1.0 GHz to 10.0 GHz. The power consumption is 0.4 mW with 500 mV input amplitude and 6.0 GHz input frequency under 1.2 V power supply with 1 pF capacitive load.
{"title":"A low power CMOS amplitude peak detector for on-chip self-calibration applications","authors":"Shuo Li, H. Xue, Xiaomeng Zhang, S. Ren","doi":"10.1109/NAECON.2017.8268794","DOIUrl":"https://doi.org/10.1109/NAECON.2017.8268794","url":null,"abstract":"A CMOS 90 nm technology peak detector is presented in this paper used for detecting active circuit process, voltage, temperature (PVT) variation error. The detector can transfer AC input amplitude to corresponding DC voltage. Such DC output can be recognized and compared to determine whether active circuit needs to be compensated to eliminate the PVT variation error. The detection output range is from 100 mV to 680 mV, corresponding to input amplitude varying from 100 mV to 500 mV. The detective frequency range is 1.0 GHz to 10.0 GHz. The power consumption is 0.4 mW with 500 mV input amplitude and 6.0 GHz input frequency under 1.2 V power supply with 1 pF capacitive load.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133263238","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 : 2017-06-01DOI: 10.1109/NAECON.2017.8268763
Tanu, Neeraj Rathi, M. Kakani, M. Rizkalla
This study demonstrates a novel approach for designing a low noise nano-particle based gas sensing device with IoT capabilities. The system is capable of minimizing cross-talk between multiple channels of amplifiers arranged on one chip using guard rings. Graphene mono-layer is utilized as sensing material and the sensitivity is catalyzed by addition of Gold nano-particles on its surface. The signal from the sensing unit is received by an offset cancellation amplifying system using an SoC approach. Internet of things capability of the sensing device is performed using FRDM K64f micro-controller board which sends message on IBM Bluemix IoT platform when a gas is sensed. The message is received by an application created and sent as an email or message to the user. The paper details the mathematical models of the gas sensing devices, and the interface circuitry that drive the differential potentials, resulting from the sensing unit. The paper presents the middle phase of a long-term project, detailing the design approach of the processing unit within the SOC system and wireless implementation of it. The gas sensor is tested for various sensing configurations. Resistive sensing was found to be sufficient for providing reference data for a sensor matrix to be designed. The change in resistance threshold values are populated in the multi-dimensional matrix. Based on sensed change in resistance values, the gas detected can be identified from the matrix. Sensing data is then sent to IBM Bluemix IoT platform using FRDM K64f development board. The information is sent in a form of packet.
{"title":"High sensitivity low noise nano-gas sensing device with IoT capabilities","authors":"Tanu, Neeraj Rathi, M. Kakani, M. Rizkalla","doi":"10.1109/NAECON.2017.8268763","DOIUrl":"https://doi.org/10.1109/NAECON.2017.8268763","url":null,"abstract":"This study demonstrates a novel approach for designing a low noise nano-particle based gas sensing device with IoT capabilities. The system is capable of minimizing cross-talk between multiple channels of amplifiers arranged on one chip using guard rings. Graphene mono-layer is utilized as sensing material and the sensitivity is catalyzed by addition of Gold nano-particles on its surface. The signal from the sensing unit is received by an offset cancellation amplifying system using an SoC approach. Internet of things capability of the sensing device is performed using FRDM K64f micro-controller board which sends message on IBM Bluemix IoT platform when a gas is sensed. The message is received by an application created and sent as an email or message to the user. The paper details the mathematical models of the gas sensing devices, and the interface circuitry that drive the differential potentials, resulting from the sensing unit. The paper presents the middle phase of a long-term project, detailing the design approach of the processing unit within the SOC system and wireless implementation of it. The gas sensor is tested for various sensing configurations. Resistive sensing was found to be sufficient for providing reference data for a sensor matrix to be designed. The change in resistance threshold values are populated in the multi-dimensional matrix. Based on sensed change in resistance values, the gas detected can be identified from the matrix. Sensing data is then sent to IBM Bluemix IoT platform using FRDM K64f development board. The information is sent in a form of packet.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125856078","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 : 2017-06-01DOI: 10.1109/NAECON.2017.8268774
J. Sattler, R. Lake, T. Laurvick, Kullen W. Waggoner
Multipactor is a critical problem in satellites and vacuum electron devices (VEDs). Described as an “avalanche” of electrons in radio frequency (RF) and microwave devices under vacuum, multipactor is caused by repeated secondary electron emission (SEE) stimulated by a time-varying electric field. Its effects range in severity from a temporary disruption in device operation to arcing, melting, cracking, or destruction of the device. A new and promising field of multipactor suppression research is engineering the internal surface topography of a VED to limit the secondary electron yield (SEY) to unity or less. Such low values of SEY render impossible the growth in electron population that is necessary to initiate the electron avalanche in a multipactor. We have developed a new model to predict the SEY of a porous surface which is useful to determine optimal topographies to control SEY. In order to assess how porous surfaces will be effected by extreme temperatures encountered in space we performed thermomechanical simulations of single gold pores. Finally, we discuss the design and fabrication of various microporous and nanoporous surfaces that will be used to validate the model in a future experimental SEY study.
{"title":"Predicting total secondary electron emission from porous surfaces using a 3D pore geometry","authors":"J. Sattler, R. Lake, T. Laurvick, Kullen W. Waggoner","doi":"10.1109/NAECON.2017.8268774","DOIUrl":"https://doi.org/10.1109/NAECON.2017.8268774","url":null,"abstract":"Multipactor is a critical problem in satellites and vacuum electron devices (VEDs). Described as an “avalanche” of electrons in radio frequency (RF) and microwave devices under vacuum, multipactor is caused by repeated secondary electron emission (SEE) stimulated by a time-varying electric field. Its effects range in severity from a temporary disruption in device operation to arcing, melting, cracking, or destruction of the device. A new and promising field of multipactor suppression research is engineering the internal surface topography of a VED to limit the secondary electron yield (SEY) to unity or less. Such low values of SEY render impossible the growth in electron population that is necessary to initiate the electron avalanche in a multipactor. We have developed a new model to predict the SEY of a porous surface which is useful to determine optimal topographies to control SEY. In order to assess how porous surfaces will be effected by extreme temperatures encountered in space we performed thermomechanical simulations of single gold pores. Finally, we discuss the design and fabrication of various microporous and nanoporous surfaces that will be used to validate the model in a future experimental SEY study.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128171124","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 : 2017-06-01DOI: 10.1109/NAECON.2017.8268711
C. Cerny, M. Casto
As software and embedded systems take on more responsibilities in such fields as consumer products, medical devices, automobiles, airplanes, defense systems, financial systems, and manufacturing, the need to ensure that they behave as expected has become critical. Users must be able to trust that these systems are safe, reliable, secure, and appropriately responsive to the task at hand. Many strategies and tools have been developed to ensure safety and reliability, especially at the hardware level, and these continue to be modified and extended to work for embedded systems and complex software. But major challenges exist in the continually evolving area of security. We will review commonly accepted definitions of trust in various domains and look at some strategies for enhancing tools for developing trusted systems in general and secure systems in particular.
{"title":"NAECON tutorials: Trusted systems and electronics","authors":"C. Cerny, M. Casto","doi":"10.1109/NAECON.2017.8268711","DOIUrl":"https://doi.org/10.1109/NAECON.2017.8268711","url":null,"abstract":"As software and embedded systems take on more responsibilities in such fields as consumer products, medical devices, automobiles, airplanes, defense systems, financial systems, and manufacturing, the need to ensure that they behave as expected has become critical. Users must be able to trust that these systems are safe, reliable, secure, and appropriately responsive to the task at hand. Many strategies and tools have been developed to ensure safety and reliability, especially at the hardware level, and these continue to be modified and extended to work for embedded systems and complex software. But major challenges exist in the continually evolving area of security. We will review commonly accepted definitions of trust in various domains and look at some strategies for enhancing tools for developing trusted systems in general and secure systems in particular.","PeriodicalId":306091,"journal":{"name":"2017 IEEE National Aerospace and Electronics Conference (NAECON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121145612","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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