Pub Date : 2018-12-01DOI: 10.1109/JEC-ECC.2018.8679533
Maha A. Maged, F. Elhefnawi, H. Akah, A. El-Akhdar, H. El-Hennawy
The inter-satellite communication is highly demanded antennas to achieve a compact size, circular polarization low profile, high gain, and specific radiation patterns. In this paper, a novel HMSIW slot antenna combines a significant bandwidth enhancement and small footprint for inter-satellite communications at C-band. The designed antenna has the capability of achieving a reduction of size with nearly 50% in comparison to conventional SIW s. The simulation results shows that the proposed antenna has an impedance bandwidth of 3.8%, an average gain of 5.26 dB and radiation efficiency of 93%.
{"title":"Half-Arrow Miniaturized Antenna for Inter-Satellite Communications Using HMSIW","authors":"Maha A. Maged, F. Elhefnawi, H. Akah, A. El-Akhdar, H. El-Hennawy","doi":"10.1109/JEC-ECC.2018.8679533","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679533","url":null,"abstract":"The inter-satellite communication is highly demanded antennas to achieve a compact size, circular polarization low profile, high gain, and specific radiation patterns. In this paper, a novel HMSIW slot antenna combines a significant bandwidth enhancement and small footprint for inter-satellite communications at C-band. The designed antenna has the capability of achieving a reduction of size with nearly 50% in comparison to conventional SIW s. The simulation results shows that the proposed antenna has an impedance bandwidth of 3.8%, an average gain of 5.26 dB and radiation efficiency of 93%.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"1 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":"131096397","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/JEC-ECC.2018.8679571
M. Hossam, Mohamed Kamal, M. Moawad, Mohamed Maher, Mohamed Salah, Youssef Abady, A. Hesham, Ahmed K. F. Khattab
This paper presents an Internet of Things (IoT) predictive platform for precision agriculture. The proposed platform aims to improve the productivity of crops through auto-controlling the plantation environment at low cost. Furthermore, the platform uses machine learning to predict plant diseases by implementing deep learning algorithms that extract hidden knowledge from the leaves' images to produce a model to achieve the highest possible accuracy of diseases classification. The platform consists of three layers. The first layer collects the needed information and applies the required actions. The second layer provides connectivity to the Internet. The last layer stores data, analyzes it, and makes it accessible to authorized users.
{"title":"PLANTAE: An IoT-Based Predictive Platform for Precision Agriculture","authors":"M. Hossam, Mohamed Kamal, M. Moawad, Mohamed Maher, Mohamed Salah, Youssef Abady, A. Hesham, Ahmed K. F. Khattab","doi":"10.1109/JEC-ECC.2018.8679571","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679571","url":null,"abstract":"This paper presents an Internet of Things (IoT) predictive platform for precision agriculture. The proposed platform aims to improve the productivity of crops through auto-controlling the plantation environment at low cost. Furthermore, the platform uses machine learning to predict plant diseases by implementing deep learning algorithms that extract hidden knowledge from the leaves' images to produce a model to achieve the highest possible accuracy of diseases classification. The platform consists of three layers. The first layer collects the needed information and applies the required actions. The second layer provides connectivity to the Internet. The last layer stores data, analyzes it, and makes it accessible to authorized users.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"98 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":"114478862","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/JEC-ECC.2018.8679547
A. El-Akhdar, H. El-Hennawy, A. El-Tager, Electronic Engineering
This paper presents a graphical user interface (GUI) based program used to efficiently calculate the effective width of single and double via row Substrate Integrated Waveguide (SIW) structures. Based on transmission line theory, an expression to calculate SIW effective width in double via row structures is deduced. A simple program using the physical parameters and substrate properties to calculate electrical parameters of the required structure. Moreover, design curves are generated to help the designer to investigate the structure characteristics without falling into large computational job. Two case studies of Double Via Row (DVR) SIW structures are simulated, fabricated and measured to verify the program calculations.
{"title":"A Simple Graphical User Interface Based Program to Calculate SIW Effective Width","authors":"A. El-Akhdar, H. El-Hennawy, A. El-Tager, Electronic Engineering","doi":"10.1109/JEC-ECC.2018.8679547","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679547","url":null,"abstract":"This paper presents a graphical user interface (GUI) based program used to efficiently calculate the effective width of single and double via row Substrate Integrated Waveguide (SIW) structures. Based on transmission line theory, an expression to calculate SIW effective width in double via row structures is deduced. A simple program using the physical parameters and substrate properties to calculate electrical parameters of the required structure. Moreover, design curves are generated to help the designer to investigate the structure characteristics without falling into large computational job. Two case studies of Double Via Row (DVR) SIW structures are simulated, fabricated and measured to verify the program calculations.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"40 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":"116925315","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/JEC-ECC.2018.8679561
Mohamed Mounir, M. El-Mashade
Orthogonal Frequency Division Multiplexing (OFDM) is widely used in high data rate wireless applications, due to its ability to mitigate frequency selectivity. However, OFDM suffers from high Peak-to-Average Power Ratio (PAPR) problem. In literature, there are various PAPR reduction techniques among them only; Active Constellation Extension (ACE), Tone Reservation based on Null Subcarriers (TRNS), and Partial Transmit Sequence (PTS) whose can work as downward-compatible techniques, i.e. receivers doesnt have to be modified. Generally, PAPR reduction techniques are required to have downward compatibility, no data rate loss, no Side Information (SI), small computational complexity, and large PAPR reduction gain. However, no one of them has all these requirements and no PAPR reduction technique can be considered as the best among others. Thus, recent trend in this field is to make hybridization between different PAPR reduction techniques in one scheme, to gain the advantages of two or more conventional techniques. In literature, there are plenty of hybrid PAPR reduction techniques. Among them, only hybrid ACE- PTS that has downward compatibility, however its downward compatibility depends on channel estimation and the used application. In this paper we propose hybrid ACE- TRNS that is downward compatible technique regardless the used application and independent of channel estimation. Results showed that, for different modulation schemes, ACE- TRNS has PAPR reduction performance better than that of ACE-PTS, with less computational complexity.
{"title":"Performance Evaluation of Hybrid ACE-TRNS PAPR Reduction Technique","authors":"Mohamed Mounir, M. El-Mashade","doi":"10.1109/JEC-ECC.2018.8679561","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679561","url":null,"abstract":"Orthogonal Frequency Division Multiplexing (OFDM) is widely used in high data rate wireless applications, due to its ability to mitigate frequency selectivity. However, OFDM suffers from high Peak-to-Average Power Ratio (PAPR) problem. In literature, there are various PAPR reduction techniques among them only; Active Constellation Extension (ACE), Tone Reservation based on Null Subcarriers (TRNS), and Partial Transmit Sequence (PTS) whose can work as downward-compatible techniques, i.e. receivers doesnt have to be modified. Generally, PAPR reduction techniques are required to have downward compatibility, no data rate loss, no Side Information (SI), small computational complexity, and large PAPR reduction gain. However, no one of them has all these requirements and no PAPR reduction technique can be considered as the best among others. Thus, recent trend in this field is to make hybridization between different PAPR reduction techniques in one scheme, to gain the advantages of two or more conventional techniques. In literature, there are plenty of hybrid PAPR reduction techniques. Among them, only hybrid ACE- PTS that has downward compatibility, however its downward compatibility depends on channel estimation and the used application. In this paper we propose hybrid ACE- TRNS that is downward compatible technique regardless the used application and independent of channel estimation. Results showed that, for different modulation schemes, ACE- TRNS has PAPR reduction performance better than that of ACE-PTS, with less computational complexity.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"24 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":"123115569","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/JEC-ECC.2018.8679545
Y. Inoue, T. Ono, Koji Inouer
On-line object tracking is an essential technology in computer vision. Object tracking systems need to reduce their energy consumption because the technology is increasingly being utilized for battery-operated systems, e.g., driving assist systems, smartphones, drones and so on. To tackle this problem, dynamic frame-rate optimization has been proposed. This approach optimizes the frame-rate on the basis of target object speed by taking into account the energy trade-off between the image capturing and tracking processes. In order to improve tracking accuracy, the approach selects a frame-rate based on a specific fixed value. However, the required parameters are different depending on the scene and content of the input video. In this paper, we propose a method to adaptively select parameters. Simulation results show the energy consumption is reduced by up to about 65.0%, and 45.0 % on average without critical tracking accuracy degradation.
{"title":"Situation-Based Dynamic Frame-Rate Control for on-Line Object Tracking","authors":"Y. Inoue, T. Ono, Koji Inouer","doi":"10.1109/JEC-ECC.2018.8679545","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679545","url":null,"abstract":"On-line object tracking is an essential technology in computer vision. Object tracking systems need to reduce their energy consumption because the technology is increasingly being utilized for battery-operated systems, e.g., driving assist systems, smartphones, drones and so on. To tackle this problem, dynamic frame-rate optimization has been proposed. This approach optimizes the frame-rate on the basis of target object speed by taking into account the energy trade-off between the image capturing and tracking processes. In order to improve tracking accuracy, the approach selects a frame-rate based on a specific fixed value. However, the required parameters are different depending on the scene and content of the input video. In this paper, we propose a method to adaptively select parameters. Simulation results show the energy consumption is reduced by up to about 65.0%, and 45.0 % on average without critical tracking accuracy degradation.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"192 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":"115559865","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/JEC-ECC.2018.8679566
Shaimaa S. A. Mohamed, M. Rashwan, Sherif M. Abdou, Hassanin M. Al-Barhamtoshy
Document denoising is one of the most challenging tasks in any optical character recognition system, especially when the noise type is different from white noise. Noise types are wide and, hence an effective denoising algorithm should be able to deal with different noise types. This paper introduces two denoising algorithms that are able to remove noise from Arabic documents. Our approaches are based on sparse representations over a learned dictionary and denoising auto-encoders, which have provided best state of the art results for natural images denoising. The experiments show that those two algorithms are promising in document denoising, as they provide the ability of learning a prior knowledge of clean character models to use them in the denoising process.
{"title":"Patch-Based Document Denoising","authors":"Shaimaa S. A. Mohamed, M. Rashwan, Sherif M. Abdou, Hassanin M. Al-Barhamtoshy","doi":"10.1109/JEC-ECC.2018.8679566","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679566","url":null,"abstract":"Document denoising is one of the most challenging tasks in any optical character recognition system, especially when the noise type is different from white noise. Noise types are wide and, hence an effective denoising algorithm should be able to deal with different noise types. This paper introduces two denoising algorithms that are able to remove noise from Arabic documents. Our approaches are based on sparse representations over a learned dictionary and denoising auto-encoders, which have provided best state of the art results for natural images denoising. The experiments show that those two algorithms are promising in document denoising, as they provide the ability of learning a prior knowledge of clean character models to use them in the denoising process.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"16 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":"123610385","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/JEC-ECC.2018.8679536
B. Hesham, E. Hasaneen, H. Hamed
The aim of this work is to compare the performance of various current mirror (CM) topologies utilizing FinFET and high-k/metal-gate (HKMG) bulk CMOS devices. Performance parameters such as mirroring accuracy, input resistance, output resistance, compliance voltage, bandwidth and power consumption are the indicators for the comparison criteria. Four current mirror topologies are designed and simulated in both FinFET and HKMG bulk CMOS technologies. For low input currents, simulation results of FinFET-based CMs show better mirroring accuracy, higher output resistance and bandwidth as well as lower power consumption. On the other hand, HKMG bulk CMOS based CMs shows lower input resistance and input compliance voltage for simple CM, cascode CM, regulated cascode CM and self-biased cascode CM.
{"title":"Comparative Study of FinFET Versus HKMG Bulk CMOS in 16 nm Technology: Current Mirror Perspective","authors":"B. Hesham, E. Hasaneen, H. Hamed","doi":"10.1109/JEC-ECC.2018.8679536","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679536","url":null,"abstract":"The aim of this work is to compare the performance of various current mirror (CM) topologies utilizing FinFET and high-k/metal-gate (HKMG) bulk CMOS devices. Performance parameters such as mirroring accuracy, input resistance, output resistance, compliance voltage, bandwidth and power consumption are the indicators for the comparison criteria. Four current mirror topologies are designed and simulated in both FinFET and HKMG bulk CMOS technologies. For low input currents, simulation results of FinFET-based CMs show better mirroring accuracy, higher output resistance and bandwidth as well as lower power consumption. On the other hand, HKMG bulk CMOS based CMs shows lower input resistance and input compliance voltage for simple CM, cascode CM, regulated cascode CM and self-biased cascode CM.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","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":"125282299","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/JEC-ECC.2018.8679573
Mahmoud A. Hasabelnaby, H. Selmy, M. Dessouky
New innovation approach called -centralized radio access network (Cloud-RAN or C-RAN)- architecture is developed to meet the explosive growth in mobile traffic in 5G mobile networks especially in the need of high -speed, high capacity, real-time data, and high-reliability. In C-RAN architecture, fronthaul networks connect between the radio units called -Remote Radio Heads (RRHs)- and the processing unit called -Base Band Processing Unit (BBU)-. Recently, hybrid free space optics (FSO) and millimeter waves (mmW) network is considered to be a promising solution that can match with the requirements of 5G fronthaul networks. In this paper, hybrid FSO/mmW links at each RRH is proposed to enhance the performance of C-RAN fronthaul network at various weather conditions. The performance of hybrid FSO/mmW technology as a fronthaul network is evaluated at different weather conditions and compared to other technologies. The numerical results reveal that improvements are obtained in network reliability using hybrid FS O/mm W fronthaul network, especially at severe weather conditions.
{"title":"C-RAN Availability Improvement Using Parallel Hybrid FSO/mmW 5G Fronthaul Network","authors":"Mahmoud A. Hasabelnaby, H. Selmy, M. Dessouky","doi":"10.1109/JEC-ECC.2018.8679573","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679573","url":null,"abstract":"New innovation approach called -centralized radio access network (Cloud-RAN or C-RAN)- architecture is developed to meet the explosive growth in mobile traffic in 5G mobile networks especially in the need of high -speed, high capacity, real-time data, and high-reliability. In C-RAN architecture, fronthaul networks connect between the radio units called -Remote Radio Heads (RRHs)- and the processing unit called -Base Band Processing Unit (BBU)-. Recently, hybrid free space optics (FSO) and millimeter waves (mmW) network is considered to be a promising solution that can match with the requirements of 5G fronthaul networks. In this paper, hybrid FSO/mmW links at each RRH is proposed to enhance the performance of C-RAN fronthaul network at various weather conditions. The performance of hybrid FSO/mmW technology as a fronthaul network is evaluated at different weather conditions and compared to other technologies. The numerical results reveal that improvements are obtained in network reliability using hybrid FS O/mm W fronthaul network, especially at severe weather conditions.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"140 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":"116489246","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/JEC-ECC.2018.8679558
Eslam Omara, Mervat Mosa, Nabil A. Ismail
Applying deep Convolutional Neural Networks (CNNs) for Sentiment Analysis (SA) has achieved improvements over the state-of-the-art. CNNs are powerful at extracting hierarchical representation of the input by stacking multiple convolutional and pooling layers. Word embedding is the common approach used for text representation in convolutional networks applied for sentiment analysis. Another technique is combining both word level and character level features. Recently, deep architectures based on character level features only showed more enhanced performance. In this paper two deep CNNs are applied for Arabic sentiment analysis using character level features only. A large scale dataset is constructed from available SA datasets in order to train networks. The dataset maintains opinions from different domains expressed in different Arabic forms (Modern Standard, Dialectal). Besides different machine learning algorithms as Logistic Regression, Support Vector Machine and Naïve Bayes have been applied to assess the performance on such a large dataset. Up to the available knowledge this is the first application of character level deep CNNs for Arabic language sentiment analysis. Results show the ability of Deep CNNs models to classify Arabic opinions depending on character representation only and register 7% enhanced accuracy compared to machine learning classifiers.
{"title":"Deep Convolutional Network for Arabic Sentiment Analysis","authors":"Eslam Omara, Mervat Mosa, Nabil A. Ismail","doi":"10.1109/JEC-ECC.2018.8679558","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679558","url":null,"abstract":"Applying deep Convolutional Neural Networks (CNNs) for Sentiment Analysis (SA) has achieved improvements over the state-of-the-art. CNNs are powerful at extracting hierarchical representation of the input by stacking multiple convolutional and pooling layers. Word embedding is the common approach used for text representation in convolutional networks applied for sentiment analysis. Another technique is combining both word level and character level features. Recently, deep architectures based on character level features only showed more enhanced performance. In this paper two deep CNNs are applied for Arabic sentiment analysis using character level features only. A large scale dataset is constructed from available SA datasets in order to train networks. The dataset maintains opinions from different domains expressed in different Arabic forms (Modern Standard, Dialectal). Besides different machine learning algorithms as Logistic Regression, Support Vector Machine and Naïve Bayes have been applied to assess the performance on such a large dataset. Up to the available knowledge this is the first application of character level deep CNNs for Arabic language sentiment analysis. Results show the ability of Deep CNNs models to classify Arabic opinions depending on character representation only and register 7% enhanced accuracy compared to machine learning classifiers.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"1 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":"121779789","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/JEC-ECC.2018.8679572
A. I. M. Hassanin, Amr Saadeldien Elsaved Shaaban, F. El-Samie
The inverse scattering investigates the problem of image reconstruction of biological objects and determination of the relation between the electromagnetic scattered field and the volume current distribution in all directions. The basic technique to generate a reconstructed tomographic image in Terahertz range on a digital computer is described. Some applications of computer simulations for tomography including new algorithms, which proved to be superior for Terahertz diagnostic technique, are introduced. Tomographic image reconstruction of cylindrical objects from calculated scattered electric field is studied. Finally, the effect of sampling and quantization on tomographic image fidelity is reviewed.
{"title":"Tomographic Image Reconstruction and Inverse Scattering Problem of Biological Objects in Terahertz Range","authors":"A. I. M. Hassanin, Amr Saadeldien Elsaved Shaaban, F. El-Samie","doi":"10.1109/JEC-ECC.2018.8679572","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2018.8679572","url":null,"abstract":"The inverse scattering investigates the problem of image reconstruction of biological objects and determination of the relation between the electromagnetic scattered field and the volume current distribution in all directions. The basic technique to generate a reconstructed tomographic image in Terahertz range on a digital computer is described. Some applications of computer simulations for tomography including new algorithms, which proved to be superior for Terahertz diagnostic technique, are introduced. Tomographic image reconstruction of cylindrical objects from calculated scattered electric field is studied. Finally, the effect of sampling and quantization on tomographic image fidelity is reviewed.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"137 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":"122624907","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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