Pub Date : 2018-12-01DOI: 10.1109/ICM.2018.8704033
M. A. Neggaz, S. Niar, F. Kurdahi
State-of-the-art Convolutional Neural Networks (CNN) are used to process images. In most cases, videos are streamed and processed frame by frame using a CNN. In this paper we present a two-step approach to process images in a real-life streaming environment. We exploit size-reduction and data encoding to reduce the computational and communication load. A near-sensor architecture is proposed. The final design reaches 14 EPS for the full Faster R-CNN pipeline.
{"title":"Computational and Communication Reduction Technique in Machine Learning Based Near Sensor Applications","authors":"M. A. Neggaz, S. Niar, F. Kurdahi","doi":"10.1109/ICM.2018.8704033","DOIUrl":"https://doi.org/10.1109/ICM.2018.8704033","url":null,"abstract":"State-of-the-art Convolutional Neural Networks (CNN) are used to process images. In most cases, videos are streamed and processed frame by frame using a CNN. In this paper we present a two-step approach to process images in a real-life streaming environment. We exploit size-reduction and data encoding to reduce the computational and communication load. A near-sensor architecture is proposed. The final design reaches 14 EPS for the full Faster R-CNN pipeline.","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133886845","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 : 2018-12-01DOI: 10.1109/ICM.2018.8704016
A. Emhemmed, A. Kriama, M. Almodi, Ali Rhoma
This paper presents effect of metamater ail on the radiation pattern of microstrip antenna at 60GHz band. A new design of metamaterial antenna based Square Split Ring Resonator and a conventional microstrip patch antenna both designed using gallium arsenate dialectical substrate to study the effect of ration pattern of antenna. The metamaterial antenna is made by using a single layer of metamaterial reflecting surface which is design from array of squared split ring resonator (SRR) printed on a GaAs dielectric. The height of reflecting surface is adjusted to improve the radiation pattern performance. The results show that the gain of the antenna radiation pattern with metamaterial reflecting surface is increased by 1.2dB compared with conventional patch antenna without the metamaterial superstrate without distorting the antenna resonance frequency. High Frequency Structure Simulator (HFSS) was used to simulate and analysis the metamaterial substrate and antenna configurations.
{"title":"Modeling and Simulation Metamaterail Effects on Radiation Pattern Of Micro strip Antenna","authors":"A. Emhemmed, A. Kriama, M. Almodi, Ali Rhoma","doi":"10.1109/ICM.2018.8704016","DOIUrl":"https://doi.org/10.1109/ICM.2018.8704016","url":null,"abstract":"This paper presents effect of metamater ail on the radiation pattern of microstrip antenna at 60GHz band. A new design of metamaterial antenna based Square Split Ring Resonator and a conventional microstrip patch antenna both designed using gallium arsenate dialectical substrate to study the effect of ration pattern of antenna. The metamaterial antenna is made by using a single layer of metamaterial reflecting surface which is design from array of squared split ring resonator (SRR) printed on a GaAs dielectric. The height of reflecting surface is adjusted to improve the radiation pattern performance. The results show that the gain of the antenna radiation pattern with metamaterial reflecting surface is increased by 1.2dB compared with conventional patch antenna without the metamaterial superstrate without distorting the antenna resonance frequency. High Frequency Structure Simulator (HFSS) was used to simulate and analysis the metamaterial substrate and antenna configurations.","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134392541","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 : 2018-12-01DOI: 10.1109/ICM.2018.8704087
Moatz M. Bahgat, Hania Farag, B. Mokhtar
Nowadays, the world is moving towards the use of the "Future Internet" concepts. The emergence of the Internet of Things (IoT) as a new Future Internet concept has led to a new wave of application potential which could play an important role in our daily life. The performance of existing applications may be improved greatly by applying IoT-enabling technologies efficiently. This paper presents a developed IoT-based access control system for vehicles passing through the entry and exit gates in Truck-Loading Fuels Terminals. The developed system follows a new design approach utilizing one of the most prominent IoT technologies, the Radio Frequency Identification (RFID), with its write capabilities. The novel design approach followed in developing the presented topic aims at offering enhanced system performance with regard to speed, security and allocated resources.
{"title":"IoT-Based Online Access Control System for Vehicles in Truck-Loading Fuels Terminals","authors":"Moatz M. Bahgat, Hania Farag, B. Mokhtar","doi":"10.1109/ICM.2018.8704087","DOIUrl":"https://doi.org/10.1109/ICM.2018.8704087","url":null,"abstract":"Nowadays, the world is moving towards the use of the \"Future Internet\" concepts. The emergence of the Internet of Things (IoT) as a new Future Internet concept has led to a new wave of application potential which could play an important role in our daily life. The performance of existing applications may be improved greatly by applying IoT-enabling technologies efficiently. This paper presents a developed IoT-based access control system for vehicles passing through the entry and exit gates in Truck-Loading Fuels Terminals. The developed system follows a new design approach utilizing one of the most prominent IoT technologies, the Radio Frequency Identification (RFID), with its write capabilities. The novel design approach followed in developing the presented topic aims at offering enhanced system performance with regard to speed, security and allocated resources.","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130962083","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 : 2018-12-01DOI: 10.1109/ICM.2018.8704085
Esraa M Adel, Rana Magdy, Sara Mohamed, Mona Mamdouh, Eman El Mandouh, H. Mostafa
Deep Convolutional Neural Networks (CNNs) are the state-of-the-art systems for image classification and scene understating. They are widely used for their superior accuracy but at the cost of high computational complexity. The target in this field nowadays is its acceleration to be used in real time applications. The solution is to use Graphics Processing Units (GPU) but many problems arise due to the GPU high-power consumption which prevents its utilization in daily-used equipment. The Field Programmable Gate Array (FPGA) is a new solution for CNN implementations due to its low power consumption and flexible architecture. This work discusses this problem and provides a solution that compromises between the speed of the CNN and the power consumption of the FPGA. This solution depends on two main techniques for speeding up: parallelism of layers resources and pipelining inside some layers
{"title":"Accelerating Deep Neural Networks Using FPGA","authors":"Esraa M Adel, Rana Magdy, Sara Mohamed, Mona Mamdouh, Eman El Mandouh, H. Mostafa","doi":"10.1109/ICM.2018.8704085","DOIUrl":"https://doi.org/10.1109/ICM.2018.8704085","url":null,"abstract":"Deep Convolutional Neural Networks (CNNs) are the state-of-the-art systems for image classification and scene understating. They are widely used for their superior accuracy but at the cost of high computational complexity. The target in this field nowadays is its acceleration to be used in real time applications. The solution is to use Graphics Processing Units (GPU) but many problems arise due to the GPU high-power consumption which prevents its utilization in daily-used equipment. The Field Programmable Gate Array (FPGA) is a new solution for CNN implementations due to its low power consumption and flexible architecture. This work discusses this problem and provides a solution that compromises between the speed of the CNN and the power consumption of the FPGA. This solution depends on two main techniques for speeding up: parallelism of layers resources and pipelining inside some layers","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114071344","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 : 2018-12-01DOI: 10.1109/ICM.2018.8704006
M. Adel, M. El-Naggar, M. Darweesh, H. Mostafa
The large data size of Electroencephalography (EEG) is a result of long-time recording, the large number of electrodes, and a high sampling rate together. Therefore, the required bandwidth and the storage space are larger for efficient data transmission and storing. So, for higher efficiency transmission with less bandwidth and storage space, EEG data compression is a very important issue. This paper introduces two efficient algorithms for EEG compression. In the first algorithm, the EEG data is transformed through Discrete Wavelet Transform (DWT). Then it passes through Set Partitioning in Hierarchical Trees (SPIHT) compression algorithm. While in the second algorithm the data is segmented into N segments and these segments are transformed using Discrete Cosine Transform (DCT) then encoded using Uniform Quantized Huffman (UQH) scheme. Finally, the Lempel Ziv Welch (LZW) is used as a second lossless encoding algorithm for making a heavy compression. The system performance is evaluated in terms of the total time for compression and reconstruction, compression ratio, and root mean square error. The proposed hybrid technique DCT/UQH/LZW achieves 95% compression compared to 59% by DCT/RLE with the same similarity. Furthermore, it reduces 50% less root mean square error.
{"title":"Multiple Hybrid Compression Techniques for Electroencephalography Data","authors":"M. Adel, M. El-Naggar, M. Darweesh, H. Mostafa","doi":"10.1109/ICM.2018.8704006","DOIUrl":"https://doi.org/10.1109/ICM.2018.8704006","url":null,"abstract":"The large data size of Electroencephalography (EEG) is a result of long-time recording, the large number of electrodes, and a high sampling rate together. Therefore, the required bandwidth and the storage space are larger for efficient data transmission and storing. So, for higher efficiency transmission with less bandwidth and storage space, EEG data compression is a very important issue. This paper introduces two efficient algorithms for EEG compression. In the first algorithm, the EEG data is transformed through Discrete Wavelet Transform (DWT). Then it passes through Set Partitioning in Hierarchical Trees (SPIHT) compression algorithm. While in the second algorithm the data is segmented into N segments and these segments are transformed using Discrete Cosine Transform (DCT) then encoded using Uniform Quantized Huffman (UQH) scheme. Finally, the Lempel Ziv Welch (LZW) is used as a second lossless encoding algorithm for making a heavy compression. The system performance is evaluated in terms of the total time for compression and reconstruction, compression ratio, and root mean square error. The proposed hybrid technique DCT/UQH/LZW achieves 95% compression compared to 59% by DCT/RLE with the same similarity. Furthermore, it reduces 50% less root mean square error.","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125840173","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 : 2018-12-01DOI: 10.1109/ICM.2018.8704023
A. Sassi, Y. Elhillali, A. Rivenq
In recent years, vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication systems, known as V2X technologies, have been the interest of several research works in road safety and traffic ergonomics. The evaluation of their performance is a substantial step before their probable integration and use in real systems. V2X communications build on the ITS-G5 standard which is also named as Wireless Access in Vehicular Environment (WAVE). It is in this context that we have undertaken the present study concerning the effect of transmission range on V2X communications by considering the terminal mobility. The proposed method aims to improve the way the standardized and initial estimation method suggested in the V2V standard interacts with its environment. The proposed estimation schema introduces an Adaptive Channel Estimation technique based on pilot subcarriers allocation method. The results have proven that the suggested system responds well to instances involving degradation in the communication environment.
{"title":"Adaptive Channel estimation technique for ITS-G5 inter- vehicular communication systems","authors":"A. Sassi, Y. Elhillali, A. Rivenq","doi":"10.1109/ICM.2018.8704023","DOIUrl":"https://doi.org/10.1109/ICM.2018.8704023","url":null,"abstract":"In recent years, vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication systems, known as V2X technologies, have been the interest of several research works in road safety and traffic ergonomics. The evaluation of their performance is a substantial step before their probable integration and use in real systems. V2X communications build on the ITS-G5 standard which is also named as Wireless Access in Vehicular Environment (WAVE). It is in this context that we have undertaken the present study concerning the effect of transmission range on V2X communications by considering the terminal mobility. The proposed method aims to improve the way the standardized and initial estimation method suggested in the V2V standard interacts with its environment. The proposed estimation schema introduces an Adaptive Channel Estimation technique based on pilot subcarriers allocation method. The results have proven that the suggested system responds well to instances involving degradation in the communication environment.","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115370594","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 : 2018-12-01DOI: 10.1109/ICM.2018.8704084
Essam Berikaa, A. Khalil, H. Hossam, M. El-Dessouky, H. Mostafa
Memristors have gained significant attention in various applications due to their unique properties, especially in nonvolatile memory technologies. Thus, there exist many mathematical and compact models that aim to simulate the behavior of memristors accurately. In this work, a comparative study on the capability of different memristor models for transient multi-bit memristive memory simulation is conducted. Moreover, this paper proposes a window function that improves the accuracy of memristor models based on the filament-growth theory. Simulation results reveal the enhancements of the proposed window function and highlight the advantages and the disadvantages of the studied models in transient analysis.
{"title":"Multi-Bit RRAM Transient Modelling and Analysis","authors":"Essam Berikaa, A. Khalil, H. Hossam, M. El-Dessouky, H. Mostafa","doi":"10.1109/ICM.2018.8704084","DOIUrl":"https://doi.org/10.1109/ICM.2018.8704084","url":null,"abstract":"Memristors have gained significant attention in various applications due to their unique properties, especially in nonvolatile memory technologies. Thus, there exist many mathematical and compact models that aim to simulate the behavior of memristors accurately. In this work, a comparative study on the capability of different memristor models for transient multi-bit memristive memory simulation is conducted. Moreover, this paper proposes a window function that improves the accuracy of memristor models based on the filament-growth theory. Simulation results reveal the enhancements of the proposed window function and highlight the advantages and the disadvantages of the studied models in transient analysis.","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114801431","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 : 2018-12-01DOI: 10.1109/ICM.2018.8703992
Abdulati I. O. Abdullah, Ibrahim K. Shati, Ahmed H. Elshoshi, Abubaker M. Algatlawi
The trend towards achieving higher data rates in wireless communications is endless and requires sophisticated transmission mechanisms that are capable to deliver higher spectral efficiency. Multiple input Multiple output (MEMO) wireless communications were realized to have an inevitability in accelerating evolution of higher data rates. However, although MIMO technique achieves better diversity and antenna gain, it faces the problem of inter channel interference (ICI) due to the multiple number of radio frequency (RF) chains. Another major disadvantage of this mechanism is to use maximum likelihood (ML) detector for attaining better performance of bit error rate; however, it generates a significant decoding complexity which exponentially increases with increasing number of transmit antennas. For these reasons the attention has been shifted to introduce a new transmission mechanism that can overcome problems faced in conventional MEMO. Spatial modulation (SM) was the best candidate to resolve that issues and increase the spectral efficiency over multipath fading channel. In SM only a single antenna will be active for the period of data transmission, means only one RF chain is deployed. This entirely removes (ICI) and decreases decoding complexity. The contribution of this paper is to introduce the concepts of SM and evaluate its bit error rate (BER) performance over uncorrelated Rayleigh fading channel with the use of ML decoding algorithm.
{"title":"Performance of Spatial Modulation for Multiple-Antenna Wireless Systems Over Uncorrelated Rayligh Flat Fading Channel","authors":"Abdulati I. O. Abdullah, Ibrahim K. Shati, Ahmed H. Elshoshi, Abubaker M. Algatlawi","doi":"10.1109/ICM.2018.8703992","DOIUrl":"https://doi.org/10.1109/ICM.2018.8703992","url":null,"abstract":"The trend towards achieving higher data rates in wireless communications is endless and requires sophisticated transmission mechanisms that are capable to deliver higher spectral efficiency. Multiple input Multiple output (MEMO) wireless communications were realized to have an inevitability in accelerating evolution of higher data rates. However, although MIMO technique achieves better diversity and antenna gain, it faces the problem of inter channel interference (ICI) due to the multiple number of radio frequency (RF) chains. Another major disadvantage of this mechanism is to use maximum likelihood (ML) detector for attaining better performance of bit error rate; however, it generates a significant decoding complexity which exponentially increases with increasing number of transmit antennas. For these reasons the attention has been shifted to introduce a new transmission mechanism that can overcome problems faced in conventional MEMO. Spatial modulation (SM) was the best candidate to resolve that issues and increase the spectral efficiency over multipath fading channel. In SM only a single antenna will be active for the period of data transmission, means only one RF chain is deployed. This entirely removes (ICI) and decreases decoding complexity. The contribution of this paper is to introduce the concepts of SM and evaluate its bit error rate (BER) performance over uncorrelated Rayleigh fading channel with the use of ML decoding algorithm.","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"127 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124437298","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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