Pub Date : 2016-12-01DOI: 10.1109/ICEDSA.2016.7818526
A. Abdelhafiz, F. Ghannouchi, O. Hammi, A. Zerguine
This paper investigates the performance of RF power amplifiers' behavioral models in the context of the adaptive model coefficients' identification. The forward twin-nonlinear two-box (TNTB) model is compared to the memory polynomial and orthogonal memory polynomial models. The study, performed using measured data of a Doherty power amplifier prototype driven by multi-carrier signals, highlights the complexity reduction provided by the TNTB model in comparison with the two other models. The results show the superiority of the TNTB model in the context of adaptive parameter-estimation as it leads to better normalized mean squared error while requiring a substantially lower number of parameters. Furthermore, the TNTB model requires less parameters for its identification, and thus less power consumption for its estimation. This makes this model suitable for implementation in energy efficient green communication systems.
{"title":"Comparative analysis of power amplifiers' polynomial based models identification using RLS algorithm","authors":"A. Abdelhafiz, F. Ghannouchi, O. Hammi, A. Zerguine","doi":"10.1109/ICEDSA.2016.7818526","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818526","url":null,"abstract":"This paper investigates the performance of RF power amplifiers' behavioral models in the context of the adaptive model coefficients' identification. The forward twin-nonlinear two-box (TNTB) model is compared to the memory polynomial and orthogonal memory polynomial models. The study, performed using measured data of a Doherty power amplifier prototype driven by multi-carrier signals, highlights the complexity reduction provided by the TNTB model in comparison with the two other models. The results show the superiority of the TNTB model in the context of adaptive parameter-estimation as it leads to better normalized mean squared error while requiring a substantially lower number of parameters. Furthermore, the TNTB model requires less parameters for its identification, and thus less power consumption for its estimation. This makes this model suitable for implementation in energy efficient green communication systems.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126445972","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 : 2016-12-01DOI: 10.1109/ICEDSA.2016.7818486
Jadran Sessa, Dabeeruddin Syed
Data is available to us in humongous amounts in the real world, but none of it is of practical use if not converted to useful information. However, the knowledge discovery is hindered because the real data is often incomplete and noisy. Nowadays, the problem of recovering missing data has found most important place in the field of data mining. Filling the missing data is a significant task, as it is paramount to use all available data for the given datasets are generally very small. In this paper, we deal with the real data with many missing values. Furthermore, we deal with the given data in three phases. The first phase considers the concept of feature selection, while the second phase iteratively considers filling in the missing values using probabilistic approach, keeping in mind the fact that features can be either nominal or numerical. Finally, the third phase deals with correcting the missing values that have been filled in. In our work, we have compared two imputation methods for dealing with the missing data, namely k-NN imputation method and mean and median imputation method. As a result, we have found that both of the imputation methods are efficient and yield more or less the same accuracy.
{"title":"Techniques to deal with missing data","authors":"Jadran Sessa, Dabeeruddin Syed","doi":"10.1109/ICEDSA.2016.7818486","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818486","url":null,"abstract":"Data is available to us in humongous amounts in the real world, but none of it is of practical use if not converted to useful information. However, the knowledge discovery is hindered because the real data is often incomplete and noisy. Nowadays, the problem of recovering missing data has found most important place in the field of data mining. Filling the missing data is a significant task, as it is paramount to use all available data for the given datasets are generally very small. In this paper, we deal with the real data with many missing values. Furthermore, we deal with the given data in three phases. The first phase considers the concept of feature selection, while the second phase iteratively considers filling in the missing values using probabilistic approach, keeping in mind the fact that features can be either nominal or numerical. Finally, the third phase deals with correcting the missing values that have been filled in. In our work, we have compared two imputation methods for dealing with the missing data, namely k-NN imputation method and mean and median imputation method. As a result, we have found that both of the imputation methods are efficient and yield more or less the same accuracy.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122254757","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 : 2016-12-01DOI: 10.1109/ICEDSA.2016.7818529
F. B. Elissa, M. Mismar
A new frequency estimation method which detects frequencies of unknown number of source sinusoidal signals is suggested. The system contains an adaptive finite impulse response filter (FIR) which exploits one of a several random search algorithms, particle swarm optimization (PSO). PSO will work on minimizing the overall output power by finding the frequencies of the roots on the unit circle. The pseudo spectrum is achieved by frequency elimination of the roots and is used to estimate the frequency of the source signals along with their number. After estimating the frequencies of the undesired interfering signals, the system can then work on suppressing these signals and maintaining the strength of the desired signals.
{"title":"Adaptive FIR filter for frequency estimation of sinusoids using particle swarm optimization","authors":"F. B. Elissa, M. Mismar","doi":"10.1109/ICEDSA.2016.7818529","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818529","url":null,"abstract":"A new frequency estimation method which detects frequencies of unknown number of source sinusoidal signals is suggested. The system contains an adaptive finite impulse response filter (FIR) which exploits one of a several random search algorithms, particle swarm optimization (PSO). PSO will work on minimizing the overall output power by finding the frequencies of the roots on the unit circle. The pseudo spectrum is achieved by frequency elimination of the roots and is used to estimate the frequency of the source signals along with their number. After estimating the frequencies of the undesired interfering signals, the system can then work on suppressing these signals and maintaining the strength of the desired signals.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"24 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129664406","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 : 2016-12-01DOI: 10.1109/ICEDSA.2016.7818519
Talal Bonny
Although the dynamic programming algorithm is an optimization approach used to solve a complex problem fast, the time required to solve it is still not efficient and grows exponentially as a function of the size of the input. In this contribution, we improve the computation time of the dynamic programing based algorithms by proposing new acceleration technique which splits the compared sequences into segments and then applies the dynamic programming algorithm to each segment individually. The new technique is adjustable for either the alignment accuracy or the computation speed. The results show that our technique performs much faster than the conventional dynamic programming algorithm with a slight degradation in the performance and provides much accurate results than the heuristic algorithm based on number of segments.
{"title":"Accuracy/speed trade-off technique for dynamic programing based algorithms","authors":"Talal Bonny","doi":"10.1109/ICEDSA.2016.7818519","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818519","url":null,"abstract":"Although the dynamic programming algorithm is an optimization approach used to solve a complex problem fast, the time required to solve it is still not efficient and grows exponentially as a function of the size of the input. In this contribution, we improve the computation time of the dynamic programing based algorithms by proposing new acceleration technique which splits the compared sequences into segments and then applies the dynamic programming algorithm to each segment individually. The new technique is adjustable for either the alignment accuracy or the computation speed. The results show that our technique performs much faster than the conventional dynamic programming algorithm with a slight degradation in the performance and provides much accurate results than the heuristic algorithm based on number of segments.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134549171","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 : 2016-12-01DOI: 10.1109/ICEDSA.2016.7818539
Salhah Albreiki, A. Alali, R. Shubair
This paper develops a methodology for modeling and analysis of neural excitability that forms one of the most extensively studied mathematical frameworks in computational neuroscience. This framework is described by a set of differential equations known as Hodgkin-Huxley model and it synthesizes the influence of ionic currents on the cell voltage. The electrical equivalent circuit and the derivation of the conductance-based model of a neuron is based on a mathematical model that utilizes Hodgkin-Huxley equations which are considered as the single most influential finding in the biophysical description of excitable membranes to implement the current research in neurosciences. The neuron response with varying currents is demonstrated through analytical results and numerical simulations. The investigations in this paper lay the foundation for further deeper study and higher-order network models that can help eventually, through simulation and prediction, in the therapeutic treatment of brain diseases such as Alzheimer and Parkinson.
{"title":"Coding brain neurons via electrical network models for neuro-signal synthesis in computational neuroscience","authors":"Salhah Albreiki, A. Alali, R. Shubair","doi":"10.1109/ICEDSA.2016.7818539","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818539","url":null,"abstract":"This paper develops a methodology for modeling and analysis of neural excitability that forms one of the most extensively studied mathematical frameworks in computational neuroscience. This framework is described by a set of differential equations known as Hodgkin-Huxley model and it synthesizes the influence of ionic currents on the cell voltage. The electrical equivalent circuit and the derivation of the conductance-based model of a neuron is based on a mathematical model that utilizes Hodgkin-Huxley equations which are considered as the single most influential finding in the biophysical description of excitable membranes to implement the current research in neurosciences. The neuron response with varying currents is demonstrated through analytical results and numerical simulations. The investigations in this paper lay the foundation for further deeper study and higher-order network models that can help eventually, through simulation and prediction, in the therapeutic treatment of brain diseases such as Alzheimer and Parkinson.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133310004","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 : 2016-12-01DOI: 10.1109/ICEDSA.2016.7818467
Dalal Abdulla, Shahrazad Abdulla, Rameesa Manaf, A. Jarndal
This paper presents an approach for designing and implementing a smart glove for deaf and dumb people. There have been several researches done in order to find an easier way for non-vocal people to communicate with vocal people and express themselves to the hearing world. Developments have been made in sign language but mainly in American Sign Language. This research aims to develop a sign to Arabic language translator based on smart glove interfaced wirelessly with microcontroller and text/voice presenting devices. An approach has been developed and programmed to display Arabic text. The whole system has been implemented, programmed, cased and tested with very good results.
{"title":"Design and implementation of a sign-to-speech/text system for deaf and dumb people","authors":"Dalal Abdulla, Shahrazad Abdulla, Rameesa Manaf, A. Jarndal","doi":"10.1109/ICEDSA.2016.7818467","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818467","url":null,"abstract":"This paper presents an approach for designing and implementing a smart glove for deaf and dumb people. There have been several researches done in order to find an easier way for non-vocal people to communicate with vocal people and express themselves to the hearing world. Developments have been made in sign language but mainly in American Sign Language. This research aims to develop a sign to Arabic language translator based on smart glove interfaced wirelessly with microcontroller and text/voice presenting devices. An approach has been developed and programmed to display Arabic text. The whole system has been implemented, programmed, cased and tested with very good results.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133619509","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 : 2016-12-01DOI: 10.1109/ICEDSA.2016.7818475
Shaimaa Naser, N. Dib
In this paper, a MIMO antenna of size 52 × 35 × 1.6 mm3 for UWB applications is designed and analyzed. A separate ground plane antenna elements are set beside each other on top of FR-4 substrate. Each single antenna element is designed through varying the main six parameters that describe the super-formula. The antenna elements are fed through a microstrip feeding line. A full-wave simulator is used to simulate the antenna then it is fabricated and tested. Experimental and simulation results are in good agreement and each antenna element works in the band (3.1 GHz–12 GHz) which is in the UWB frequency range with VSWR less than 2. Also, the isolation between the two elements is less than −15 dB. In addition, they have a good advantage of having almost constant group delay and gain.
{"title":"Analysis and design of MIMO antenna for UWB applications based on the super-formula","authors":"Shaimaa Naser, N. Dib","doi":"10.1109/ICEDSA.2016.7818475","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818475","url":null,"abstract":"In this paper, a MIMO antenna of size 52 × 35 × 1.6 mm3 for UWB applications is designed and analyzed. A separate ground plane antenna elements are set beside each other on top of FR-4 substrate. Each single antenna element is designed through varying the main six parameters that describe the super-formula. The antenna elements are fed through a microstrip feeding line. A full-wave simulator is used to simulate the antenna then it is fabricated and tested. Experimental and simulation results are in good agreement and each antenna element works in the band (3.1 GHz–12 GHz) which is in the UWB frequency range with VSWR less than 2. Also, the isolation between the two elements is less than −15 dB. In addition, they have a good advantage of having almost constant group delay and gain.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"13 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113980857","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 : 2016-12-01DOI: 10.1109/ICEDSA.2016.7818549
Izhar Hussain, F. Riente, M. R. Roch, G. Piccinini, M. Graziano
To meet the challenges associated with transistor scaling and short channel devices, the structure of MOS devices has undergone an incredible evolution. From Bulk devices, technology has shifted through Silicon-On-Insulator (SOI) devices, reaching now FinFET transistors, the next steps in the evolutionary path are represented by Gate-All-Around (GAA) and Molecular Transistors. Using analytical compact models for standard (BULK, SOI, FinFET) and emerging devices (GAA, Molecular FET (MOLFET)), it is possible to predict the system level performance of future NANO electronic circuits. In this work, we show how circuit's performance can be predicted and analyzed at system level using our tool, TAMTAMS Web. Starting from Bulk transistors down to a nanometer scale Molecular FET, TAMTAMS Web incorporates models to analyze device quantities (Drive current, Subthresold current…) up to system level. We have developed a compact model of Virtex 4 FPGA CLB block that is used as benchmark. The work here presented not only highlights the potentialities of TAMTAMS, but it also provides useful hints on the evolution of transistor based technology.
{"title":"Performance analysis of transistor-based circuits through TAMAMS Web: From bulk to molecular devices","authors":"Izhar Hussain, F. Riente, M. R. Roch, G. Piccinini, M. Graziano","doi":"10.1109/ICEDSA.2016.7818549","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818549","url":null,"abstract":"To meet the challenges associated with transistor scaling and short channel devices, the structure of MOS devices has undergone an incredible evolution. From Bulk devices, technology has shifted through Silicon-On-Insulator (SOI) devices, reaching now FinFET transistors, the next steps in the evolutionary path are represented by Gate-All-Around (GAA) and Molecular Transistors. Using analytical compact models for standard (BULK, SOI, FinFET) and emerging devices (GAA, Molecular FET (MOLFET)), it is possible to predict the system level performance of future NANO electronic circuits. In this work, we show how circuit's performance can be predicted and analyzed at system level using our tool, TAMTAMS Web. Starting from Bulk transistors down to a nanometer scale Molecular FET, TAMTAMS Web incorporates models to analyze device quantities (Drive current, Subthresold current…) up to system level. We have developed a compact model of Virtex 4 FPGA CLB block that is used as benchmark. The work here presented not only highlights the potentialities of TAMTAMS, but it also provides useful hints on the evolution of transistor based technology.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130585171","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 : 2016-12-01DOI: 10.1109/ICEDSA.2016.7818469
A. N. Al-Omari, O. M. Khreis, A. Dagamseh, A. Ababneh, K. Lear
850-nm vertical-cavity laser diodes with copper-plated heat sinks were fabricated and tested. Vertical-cavity surface-emitting lasers with 10μm aperture diameter and 4μm of electroplated copper demonstrated a maximum −3dB modulation bandwidth of more than 16GHz and a resonance frequency of more than 11GHz at bias current of only 5.4mA, which correspond to a bias current density of only 7.5kA/cm2. Thus, reported devices exhibited a high −3dB modulation bandwidth squared over bias current density ratio of more than 35GHz2/kA/cm2. The displayed 7.5 kA/cm2 bias current density is less than the 10 kA/cm2 current density standard for reliability by 25%. Devices also demonstrate a reduced thermal resistance of 1.01 °C/mW, a threshold current of 1.1mA, a series resistance of only 60Ω, and a maximum output power density of about 1.2mW/cm2.
{"title":"High-speed dielectric-planarized 850nm surface-emitting lasers with metal-plated heat sinks","authors":"A. N. Al-Omari, O. M. Khreis, A. Dagamseh, A. Ababneh, K. Lear","doi":"10.1109/ICEDSA.2016.7818469","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818469","url":null,"abstract":"850-nm vertical-cavity laser diodes with copper-plated heat sinks were fabricated and tested. Vertical-cavity surface-emitting lasers with 10μm aperture diameter and 4μm of electroplated copper demonstrated a maximum −3dB modulation bandwidth of more than 16GHz and a resonance frequency of more than 11GHz at bias current of only 5.4mA, which correspond to a bias current density of only 7.5kA/cm<sup>2</sup>. Thus, reported devices exhibited a high −3dB modulation bandwidth squared over bias current density ratio of more than 35GHz<sup>2</sup>/kA/cm<sup>2</sup>. The displayed 7.5 kA/cm<sup>2</sup> bias current density is less than the 10 kA/cm<sup>2</sup> current density standard for reliability by 25%. Devices also demonstrate a reduced thermal resistance of 1.01 °C/mW, a threshold current of 1.1mA, a series resistance of only 60Ω, and a maximum output power density of about 1.2mW/cm<sup>2</sup>.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"470 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124720131","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 : 2016-12-01DOI: 10.1109/ICEDSA.2016.7818484
Anas AlMajali, Waleed Dweik
A computer worm is malicious software that can spread rapidly between interconnected devices and perform malicious actions. In an Advanced Metering Infrastructure (AMI), smart meters may communicate in an ad-hoc fashion to perform many functionalities like remote metering and demand response. However, the AMI is susceptible to cyber-physical threats caused by malware like worms. The speed at which worms propagate in the AMI affects the physical consequences of cyber attacks. In this paper, worm propagation in the AMI is simulated and a probabilistic model is derived. This model can be used to estimate the time required to infect N meters in the AMI and accordingly predict possible physical consequences.
{"title":"Modeling worm propagation in the advanced metering infrastructure","authors":"Anas AlMajali, Waleed Dweik","doi":"10.1109/ICEDSA.2016.7818484","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818484","url":null,"abstract":"A computer worm is malicious software that can spread rapidly between interconnected devices and perform malicious actions. In an Advanced Metering Infrastructure (AMI), smart meters may communicate in an ad-hoc fashion to perform many functionalities like remote metering and demand response. However, the AMI is susceptible to cyber-physical threats caused by malware like worms. The speed at which worms propagate in the AMI affects the physical consequences of cyber attacks. In this paper, worm propagation in the AMI is simulated and a probabilistic model is derived. This model can be used to estimate the time required to infect N meters in the AMI and accordingly predict possible physical consequences.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127817960","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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