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.2018.8704073
Bartas Abaravicius, Sandy Cochran, S. Mitra
A new hybrid charge pump topology is proposed to achieve high voltage DC supply in a TSMC 0.13 μm BCD technology. The design incorporates a hybrid cross-coupled and serial-parallel topologies which permits the use of MEM capacitors through-out the design and, thus, minimizes the overall area required for the same voltage gain. The paper proposes a new zero-reversion loss cross-coupled charge pump and a new serial-parallel charge pump design to reduce the overall area required for the charge pump by up to 50 % and provides a strong basis for different gain charge pump implementations.
{"title":"An area-efficient hybrid high-voltage charge pump design for IoT applications","authors":"Bartas Abaravicius, Sandy Cochran, S. Mitra","doi":"10.1109/ICM.2018.8704073","DOIUrl":"https://doi.org/10.1109/ICM.2018.8704073","url":null,"abstract":"A new hybrid charge pump topology is proposed to achieve high voltage DC supply in a TSMC 0.13 μm BCD technology. The design incorporates a hybrid cross-coupled and serial-parallel topologies which permits the use of MEM capacitors through-out the design and, thus, minimizes the overall area required for the same voltage gain. The paper proposes a new zero-reversion loss cross-coupled charge pump and a new serial-parallel charge pump design to reduce the overall area required for the charge pump by up to 50 % and provides a strong basis for different gain charge pump implementations.","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"41 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":"128236829","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.2018.8704033
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.2018.8703992
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}
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.2018.8704047
Monia Ettouil, Habib Smei, A. Jemai
The particle swarm optimization PSO is an attractive domain for community looking to enhance time for optimal solutions. Several works will be done for SW or SW/HW implementation. The latter often gives better performance. In this paper, we present a comparative study of these various solutions and we focus on the FPGA ones. Our approach is based on a codesign methodology which adjusts performance parameters at design time.
{"title":"Particle Swarm Optimization on FPGA","authors":"Monia Ettouil, Habib Smei, A. Jemai","doi":"10.1109/ICM.2018.8704047","DOIUrl":"https://doi.org/10.1109/ICM.2018.8704047","url":null,"abstract":"The particle swarm optimization PSO is an attractive domain for community looking to enhance time for optimal solutions. Several works will be done for SW or SW/HW implementation. The latter often gives better performance. In this paper, we present a comparative study of these various solutions and we focus on the FPGA ones. Our approach is based on a codesign methodology which adjusts performance parameters at design time.","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"ED-13 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121011593","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.2018.8704095
Egídio Ieno Junior, Luis Manuel Garcés Socarrás, T. Pimenta
Methods of moving object detection for General Purpose Processors (GPPs) present an approach that does not allow a successful implementation in the Field Programmable Gate Array (FPGA). This is because correct pixel classification is directly related to the need for many resources in terms of memory or complex mathematical operations to model the reference image. Therefore, these implementations do not allow real-time processing. In addition, these methods implement only conventional techniques of digital imaging processing. Thus, we propose an architecture for FPGA that combines filter operations with fuzzy integral to improve the detection of moving vehicles. This proposed fuzzy decision system for detecting moving vehicles seeks to not compromise the results in terms of pixel classification, even validating the system through a reference image obtained by a simple modeling mechanism. Results are verified in terms of the resources occupied, maximum frequency of operation and similarity measure in the FPGA Spartan-6 LX100. The implementation of the proposed low-cost FPGA system processes high-definition images in real time and improves pixel classification.
{"title":"Design and low-cost FPGA implementation of the fuzzy decision system","authors":"Egídio Ieno Junior, Luis Manuel Garcés Socarrás, T. Pimenta","doi":"10.1109/ICM.2018.8704095","DOIUrl":"https://doi.org/10.1109/ICM.2018.8704095","url":null,"abstract":"Methods of moving object detection for General Purpose Processors (GPPs) present an approach that does not allow a successful implementation in the Field Programmable Gate Array (FPGA). This is because correct pixel classification is directly related to the need for many resources in terms of memory or complex mathematical operations to model the reference image. Therefore, these implementations do not allow real-time processing. In addition, these methods implement only conventional techniques of digital imaging processing. Thus, we propose an architecture for FPGA that combines filter operations with fuzzy integral to improve the detection of moving vehicles. This proposed fuzzy decision system for detecting moving vehicles seeks to not compromise the results in terms of pixel classification, even validating the system through a reference image obtained by a simple modeling mechanism. Results are verified in terms of the resources occupied, maximum frequency of operation and similarity measure in the FPGA Spartan-6 LX100. The implementation of the proposed low-cost FPGA system processes high-definition images in real time and improves pixel classification.","PeriodicalId":305356,"journal":{"name":"2018 30th International Conference on Microelectronics (ICM)","volume":"41 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":"128092297","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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