Pub Date : 2011-04-26DOI: 10.1109/NRSC.2011.5873616
Mohamed Omar, Abdalla S. A. Mohamed
Differential diagnosis of cardiac diseases is considered a real problem in cardiology. Moreover congestive heart disease [CHF] is one of the most life-threatening where it is characterized by neurologic complications, and decreased pulmonary flow. Analysis of long-record ECG trace and/or the extracted HRV signal need to consider the presence of non-stationary. In this work, Hilbert transform is applied to get the analytic representation of these signals. Instantaneous amplitude (envelop); phase; and frequency were calculated. K-means algorithm was applied on these outputs to classify CHF. Classification results were promising with ECG (92.1%) more than HRV (75.85).
{"title":"Evaluation of the analytic representation of long-record ECG and its HRV signals for congestive heart failure classification","authors":"Mohamed Omar, Abdalla S. A. Mohamed","doi":"10.1109/NRSC.2011.5873616","DOIUrl":"https://doi.org/10.1109/NRSC.2011.5873616","url":null,"abstract":"Differential diagnosis of cardiac diseases is considered a real problem in cardiology. Moreover congestive heart disease [CHF] is one of the most life-threatening where it is characterized by neurologic complications, and decreased pulmonary flow. Analysis of long-record ECG trace and/or the extracted HRV signal need to consider the presence of non-stationary. In this work, Hilbert transform is applied to get the analytic representation of these signals. Instantaneous amplitude (envelop); phase; and frequency were calculated. K-means algorithm was applied on these outputs to classify CHF. Classification results were promising with ECG (92.1%) more than HRV (75.85).","PeriodicalId":438638,"journal":{"name":"2011 28th National Radio Science Conference (NRSC)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124066359","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 : 2011-04-26DOI: 10.1109/NRSC.2011.5873601
N. El-Fishawy, M. Zahra, M. Ebrahi, Mostafa M. El-gamala
The IEEE 802.16 standard which has emerged as a broadband wireless access technology, promises to deliver high data rates over large areas to a large number of users in the near future. We present a simple analytical method for VoIP capacity estimation in IEEE 802.16e mobile WiMAX networks. Various overheads that impact the capacity are explained and methods to reduce these overheads are also presented. The analysis process helps explain various features of mobile WiMAX. It is shown that proper use of overhead reducing mechanisms and proper scheduling can make an order of magnitude difference in performance. The paper gives the maximum number of voice sessions using multiple VoIP codecs. Via simulation using ns2, the results of the analytical calculations will be validated using simple scheduler.
{"title":"VoIP capacity estimation in mobile WiMAX networks","authors":"N. El-Fishawy, M. Zahra, M. Ebrahi, Mostafa M. El-gamala","doi":"10.1109/NRSC.2011.5873601","DOIUrl":"https://doi.org/10.1109/NRSC.2011.5873601","url":null,"abstract":"The IEEE 802.16 standard which has emerged as a broadband wireless access technology, promises to deliver high data rates over large areas to a large number of users in the near future. We present a simple analytical method for VoIP capacity estimation in IEEE 802.16e mobile WiMAX networks. Various overheads that impact the capacity are explained and methods to reduce these overheads are also presented. The analysis process helps explain various features of mobile WiMAX. It is shown that proper use of overhead reducing mechanisms and proper scheduling can make an order of magnitude difference in performance. The paper gives the maximum number of voice sessions using multiple VoIP codecs. Via simulation using ns2, the results of the analytical calculations will be validated using simple scheduler.","PeriodicalId":438638,"journal":{"name":"2011 28th National Radio Science Conference (NRSC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129733917","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 : 2011-04-26DOI: 10.1109/NRSC.2011.5873638
A. H. Morshed
Multimode Interference (MMI) has been extensively investigated and utilized in integrated optical devices for both the communication and sensor industries. It has later been explored in optical fibers to realize fiber devices, including sensors. This paper reports on the investigation of simple optical fiber sensors based on the MMI phenomenon of self-imaging with possible use as bending and intrusion detectors. The sensors are composed of Single mode ' Multimode ' Single mode (SMS) fiber section concatenations. MMI leads to the formation of a self-image of the single mode fiber excitation onto the output single mode fiber through the multimode fiber, where modal interference is sensitive to disturbances applied to that section. This structure is investigated and explored for the realization of new fiber sensors. The transmission spectra of two proposed devices under different conditions are measured and the operation of a sensor developed for intrusion detection is demonstrated using a laser source of 1.55µm wavelength. Self-imaging in symmetrically excited optical fibers is analytically studied, revealing the effect of refractive index grading on the characteristics of SMS fiber devices. Experimental investigations of the proposed sensors are then described and a discussion of the results obtained and possible applications of the devices is presented.
{"title":"Multimode optical fiber sensors based on self-imaging","authors":"A. H. Morshed","doi":"10.1109/NRSC.2011.5873638","DOIUrl":"https://doi.org/10.1109/NRSC.2011.5873638","url":null,"abstract":"Multimode Interference (MMI) has been extensively investigated and utilized in integrated optical devices for both the communication and sensor industries. It has later been explored in optical fibers to realize fiber devices, including sensors. This paper reports on the investigation of simple optical fiber sensors based on the MMI phenomenon of self-imaging with possible use as bending and intrusion detectors. The sensors are composed of Single mode ' Multimode ' Single mode (SMS) fiber section concatenations. MMI leads to the formation of a self-image of the single mode fiber excitation onto the output single mode fiber through the multimode fiber, where modal interference is sensitive to disturbances applied to that section. This structure is investigated and explored for the realization of new fiber sensors. The transmission spectra of two proposed devices under different conditions are measured and the operation of a sensor developed for intrusion detection is demonstrated using a laser source of 1.55µm wavelength. Self-imaging in symmetrically excited optical fibers is analytically studied, revealing the effect of refractive index grading on the characteristics of SMS fiber devices. Experimental investigations of the proposed sensors are then described and a discussion of the results obtained and possible applications of the devices is presented.","PeriodicalId":438638,"journal":{"name":"2011 28th National Radio Science Conference (NRSC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128244459","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 : 2011-04-26DOI: 10.1109/NRSC.2011.5873619
F. F. Sherif, Mahmoud El Hefnawi, Y. Kadah
Global outbreaks of human influenza arise from influenza A viruses with novel Hemagglutinin (HA) molecules to which humans have no immunity. So understanding of the origin and evolution of HA genes is of particular importance. Here, genomic signatures of the HA protein in different hosts was identified and associative classification for host-typing was conducted. We therefore conducted multiple-sequence alignment and detecting the most statistically significant differences between human, avian and swine group of sequences using VESPA, then applying class associative rule mining to identify amino acid'conserving positions that are specific to host species, called signatures. We applied strict thresholds to select only markers which are highly preserved in each influenza virus host isolates over time. Also, the two Sample sequence logo server was used to identify and confirm significant variations between the hosts. Host-specific signatures have created from scanning 1500 sequences of HA from human, swine and avian influenza A viruses. A total of 9, 31, 11, 6, 22, and 31 most informative positions of 560 amino acid residues yielded significant differences between Avian vs. Human, Human vs. Avian, Human vs. Swine, Swine vs. Human, Avian vs. Swine, and Swine vs. Avian respectively. Positions 438K, 458N and 286V were associated with avian, human and swine respectively, with support and confidence of (90.7% and 79.5%), (82.8% and 92.9%) and (51.4% and 98%) respectively. Host-specific class association rules aid in the prediction of prognostic biomarkers and improve the accuracy of prognosis.
{"title":"Genomic signatures and associative classification of the Hemagglutinin protein for Human versus Avian versus Swine influenza A viruses","authors":"F. F. Sherif, Mahmoud El Hefnawi, Y. Kadah","doi":"10.1109/NRSC.2011.5873619","DOIUrl":"https://doi.org/10.1109/NRSC.2011.5873619","url":null,"abstract":"Global outbreaks of human influenza arise from influenza A viruses with novel Hemagglutinin (HA) molecules to which humans have no immunity. So understanding of the origin and evolution of HA genes is of particular importance. Here, genomic signatures of the HA protein in different hosts was identified and associative classification for host-typing was conducted. We therefore conducted multiple-sequence alignment and detecting the most statistically significant differences between human, avian and swine group of sequences using VESPA, then applying class associative rule mining to identify amino acid'conserving positions that are specific to host species, called signatures. We applied strict thresholds to select only markers which are highly preserved in each influenza virus host isolates over time. Also, the two Sample sequence logo server was used to identify and confirm significant variations between the hosts. Host-specific signatures have created from scanning 1500 sequences of HA from human, swine and avian influenza A viruses. A total of 9, 31, 11, 6, 22, and 31 most informative positions of 560 amino acid residues yielded significant differences between Avian vs. Human, Human vs. Avian, Human vs. Swine, Swine vs. Human, Avian vs. Swine, and Swine vs. Avian respectively. Positions 438K, 458N and 286V were associated with avian, human and swine respectively, with support and confidence of (90.7% and 79.5%), (82.8% and 92.9%) and (51.4% and 98%) respectively. Host-specific class association rules aid in the prediction of prognostic biomarkers and improve the accuracy of prognosis.","PeriodicalId":438638,"journal":{"name":"2011 28th National Radio Science Conference (NRSC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132832354","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 : 2011-04-26DOI: 10.1109/NRSC.2011.5873636
H. Elmikaty, A. Samra, B. Yousif
The scattering and absorption properties of ellipsoidal geometry (spheres, rods, and disks) metal nanoparticles using modified long wavelength approximation method (MLWA) is presented. The validity of this technique is verified by comparison to the exact solution (Mie theory). For spherical particles, up to 16-nm diameter of gold and 8-nm diameter of silver, we confirm that our approach yields an exact correspondence with Mie theory, and gives an approximation error of less than 15% for gold and silver particles with diameters approaching 40nm and 18nm respectively. For core/shell particles by varying the relative dimensions of core and shell, the optical resonance of these nanoparticles can be precisely and systematically varied over a broad region ranging from the near-ultraviolet to the mid-infrared. These making core/shell nanoparticles attractive as functional materials for many applications. A model for core/shell nanoparticles is presented to investigate shell thickness effects and gives an approximation error of less than 9.49% for silica-gold particles with diameters approaching 36–40 nm.
{"title":"Optical near field spectral analysis of single metal nanoparticles","authors":"H. Elmikaty, A. Samra, B. Yousif","doi":"10.1109/NRSC.2011.5873636","DOIUrl":"https://doi.org/10.1109/NRSC.2011.5873636","url":null,"abstract":"The scattering and absorption properties of ellipsoidal geometry (spheres, rods, and disks) metal nanoparticles using modified long wavelength approximation method (MLWA) is presented. The validity of this technique is verified by comparison to the exact solution (Mie theory). For spherical particles, up to 16-nm diameter of gold and 8-nm diameter of silver, we confirm that our approach yields an exact correspondence with Mie theory, and gives an approximation error of less than 15% for gold and silver particles with diameters approaching 40nm and 18nm respectively. For core/shell particles by varying the relative dimensions of core and shell, the optical resonance of these nanoparticles can be precisely and systematically varied over a broad region ranging from the near-ultraviolet to the mid-infrared. These making core/shell nanoparticles attractive as functional materials for many applications. A model for core/shell nanoparticles is presented to investigate shell thickness effects and gives an approximation error of less than 9.49% for silica-gold particles with diameters approaching 36–40 nm.","PeriodicalId":438638,"journal":{"name":"2011 28th National Radio Science Conference (NRSC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117167253","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 : 2011-04-26DOI: 10.1109/NRSC.2011.5873605
V. F. Ghoneim, N. Solouma, Y. Kadah
DNA microarray is a high throughput gene profiling technology employed in numerous biological and medical studies. These studies require complete and accurate gene expression values which are not always available in practice due to the so-called microarray missing value (MV) problem. Many attempts have been held to deal with this problem. MV imputation algorithms to estimate MV have been designed as the most reliable solution for this problem. Many of the schemes introduced to evaluate these algorithms are limited to measuring the similarity between the original and imputed data. While imputed expression values themselves are not interesting, rather whether their impact on downstream analysis is the major concern. In this work the success of three MV imputation methods is measured in terms of Normalized Root Mean Square Error as well as classification accuracy and detection of differentially expressed genes (biomarkers) for distinguishing different phenotypes. The classification accuracies computed on the original complete and imputed datasets gave a practical evaluation of the three imputation methods where it showed slight variations among them. Some of the identified biomarkers were found to be Gene Ontology annotated coding for proteins involved in cell adhesion/motility, lipid/fatty acid transport and metabolism, immune/defence response, and electron transport.
{"title":"The impact of missing values imputation methods in cDNA microarrays on downstream data analysis","authors":"V. F. Ghoneim, N. Solouma, Y. Kadah","doi":"10.1109/NRSC.2011.5873605","DOIUrl":"https://doi.org/10.1109/NRSC.2011.5873605","url":null,"abstract":"DNA microarray is a high throughput gene profiling technology employed in numerous biological and medical studies. These studies require complete and accurate gene expression values which are not always available in practice due to the so-called microarray missing value (MV) problem. Many attempts have been held to deal with this problem. MV imputation algorithms to estimate MV have been designed as the most reliable solution for this problem. Many of the schemes introduced to evaluate these algorithms are limited to measuring the similarity between the original and imputed data. While imputed expression values themselves are not interesting, rather whether their impact on downstream analysis is the major concern. In this work the success of three MV imputation methods is measured in terms of Normalized Root Mean Square Error as well as classification accuracy and detection of differentially expressed genes (biomarkers) for distinguishing different phenotypes. The classification accuracies computed on the original complete and imputed datasets gave a practical evaluation of the three imputation methods where it showed slight variations among them. Some of the identified biomarkers were found to be Gene Ontology annotated coding for proteins involved in cell adhesion/motility, lipid/fatty acid transport and metabolism, immune/defence response, and electron transport.","PeriodicalId":438638,"journal":{"name":"2011 28th National Radio Science Conference (NRSC)","volume":"508 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123199212","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 : 2011-04-26DOI: 10.1109/NRSC.2011.5873623
B. A. Abrahim, Z. A. Mustafa, Y. Kadah
Ultrasound imaging is a widely used and safe medical diagnostic technique, due to its noninvasive nature, low cost, capability of forming real time imaging, and the continuing improvements in image quality. However; the usefulness of ultrasound imaging is degraded by the presence of signal dependant noise known as speckle. It is well-known that speckle is a multiplicative noise that degrades the visual evaluation in ultrasound imaging. In ultrasound (US) imaging, denoising is intended to improve quantitative image analysis techniques. In this paper, a new version of the Non Local (NL-) means filter adapted for US images is proposed based on Similarity function depend on specific characteristics of the variance speckle noise in ultrasound images. The proposed method has been compared with Median, Wavelet, Mean and variance local statistics, Geometric, Anisotropic diffusion filtering, and Non ' local means filter using quantitative parameters. From the visual results and image quality evaluation metrics obtained over real images we can conclude that the modified(NL-) means filter can be successfully used for ultrasound image denoising, and performs better results than all other methods while still retaining the structural details and retains the edges and textures very well while removing speckle noise.
{"title":"Modified non-local means filter for effective speckle reduction in ultrasound images","authors":"B. A. Abrahim, Z. A. Mustafa, Y. Kadah","doi":"10.1109/NRSC.2011.5873623","DOIUrl":"https://doi.org/10.1109/NRSC.2011.5873623","url":null,"abstract":"Ultrasound imaging is a widely used and safe medical diagnostic technique, due to its noninvasive nature, low cost, capability of forming real time imaging, and the continuing improvements in image quality. However; the usefulness of ultrasound imaging is degraded by the presence of signal dependant noise known as speckle. It is well-known that speckle is a multiplicative noise that degrades the visual evaluation in ultrasound imaging. In ultrasound (US) imaging, denoising is intended to improve quantitative image analysis techniques. In this paper, a new version of the Non Local (NL-) means filter adapted for US images is proposed based on Similarity function depend on specific characteristics of the variance speckle noise in ultrasound images. The proposed method has been compared with Median, Wavelet, Mean and variance local statistics, Geometric, Anisotropic diffusion filtering, and Non ' local means filter using quantitative parameters. From the visual results and image quality evaluation metrics obtained over real images we can conclude that the modified(NL-) means filter can be successfully used for ultrasound image denoising, and performs better results than all other methods while still retaining the structural details and retains the edges and textures very well while removing speckle noise.","PeriodicalId":438638,"journal":{"name":"2011 28th National Radio Science Conference (NRSC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124697524","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 : 2011-04-26DOI: 10.1109/NRSC.2011.5873631
Hefdhallah Sakran, M. Shokair
Cognitive radio is an intelligent spectrum sharing technology to improve the spectrum utilization. One of the major functional blocks of cognitive radio is spectrum sensing which detects spectrum holes and estimates their power contents. The cooperative operation can improve the sensing performance of cognitive radio networks. Combination multiple cognitive users' local detection results and making accurate judgment are essential to improve cooperative gain. In this paper, the performance analysis of one bit hard combination using AND rule for cooperative spectrum sensing over imperfect sensing and reporting channels will be made which is not clarified until now. Simulation results show that the sensing performance can be significantly degraded. To reduce this performance loss, we propose Space Time Block Coding (STBC) with Alamouti code. The probability of detection is improved by 10 % at 30% of a false alarm probability using Alamouti code.
{"title":"Proposed STBC with Alamouti scheme in cognitive radio networks","authors":"Hefdhallah Sakran, M. Shokair","doi":"10.1109/NRSC.2011.5873631","DOIUrl":"https://doi.org/10.1109/NRSC.2011.5873631","url":null,"abstract":"Cognitive radio is an intelligent spectrum sharing technology to improve the spectrum utilization. One of the major functional blocks of cognitive radio is spectrum sensing which detects spectrum holes and estimates their power contents. The cooperative operation can improve the sensing performance of cognitive radio networks. Combination multiple cognitive users' local detection results and making accurate judgment are essential to improve cooperative gain. In this paper, the performance analysis of one bit hard combination using AND rule for cooperative spectrum sensing over imperfect sensing and reporting channels will be made which is not clarified until now. Simulation results show that the sensing performance can be significantly degraded. To reduce this performance loss, we propose Space Time Block Coding (STBC) with Alamouti code. The probability of detection is improved by 10 % at 30% of a false alarm probability using Alamouti code.","PeriodicalId":438638,"journal":{"name":"2011 28th National Radio Science Conference (NRSC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121412464","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 : 2011-04-26DOI: 10.1109/NRSC.2011.5873639
M. R. Metwalli, A. Nasr, Sayed El-Rabaie, F. A. El-Samie
Spatial resolution enhancement is usually required in the remote sensing field. Super-Resolution (SR) is a fusion process for reconstructing a High-Resolution (HR) image from several Low-Resolution (LR) images covering the same region in the world. It is difficult, however, for some satellite remote sensing arrangements to get several images of the same scene in a short time, especially for highly dynamic scenes. In this paper, we study the SR process of Misrsat-1 data using sub-pixel shifts between bands 1, 3, and the Panchromatic (PAN) sub-band. Due to the difference in radiometry between the different bands, we propose performing the SR process between the high-pass details extracted from bands 1, 3, and the PAN, and then using the High-Pass Filter (HPF) fusion method for sharpening the Multi-Spectral (MS) image of Misrsat-1 using the super-resolved high-pass details. The comparison of the proposed method with the cubic convolution interpolation method has shown an enhancement in the image entropy, Point Spread Function (PSF), and Modulation Transfer Function (MTF).
{"title":"Sharpening Misrsat-1 data using Super-Resolution and HPF fusion methods","authors":"M. R. Metwalli, A. Nasr, Sayed El-Rabaie, F. A. El-Samie","doi":"10.1109/NRSC.2011.5873639","DOIUrl":"https://doi.org/10.1109/NRSC.2011.5873639","url":null,"abstract":"Spatial resolution enhancement is usually required in the remote sensing field. Super-Resolution (SR) is a fusion process for reconstructing a High-Resolution (HR) image from several Low-Resolution (LR) images covering the same region in the world. It is difficult, however, for some satellite remote sensing arrangements to get several images of the same scene in a short time, especially for highly dynamic scenes. In this paper, we study the SR process of Misrsat-1 data using sub-pixel shifts between bands 1, 3, and the Panchromatic (PAN) sub-band. Due to the difference in radiometry between the different bands, we propose performing the SR process between the high-pass details extracted from bands 1, 3, and the PAN, and then using the High-Pass Filter (HPF) fusion method for sharpening the Multi-Spectral (MS) image of Misrsat-1 using the super-resolved high-pass details. The comparison of the proposed method with the cubic convolution interpolation method has shown an enhancement in the image entropy, Point Spread Function (PSF), and Modulation Transfer Function (MTF).","PeriodicalId":438638,"journal":{"name":"2011 28th National Radio Science Conference (NRSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129062997","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 : 2011-04-26DOI: 10.1109/NRSC.2011.5873629
Hosam A. Rahhal, I. Ali, S. Shaheen
Wireless Sensor Networks (WSNs) are vulnerable to attacks (selfish or malicious i.e. misbehaving nodes) due to the nature of the wireless media, restricted resource and the natural co-operations of sensors. Therefore, the security issue is very critical in WSN. The decision making in a WSN is essential for carrying out certain tasks as it aids sensors establish collaborations. In order to assist this process, trust management models could play a relevant role. Up to our knowledge, there is no one used the cross-layer concept in computing and updating the trust values. So, this paper presents new model for trust in WSN, called A Trust-Based Cross-Layer Model, which use cross-layer concept (ACKs from data link layer and TCP layer) to design trust'based model for sensor networks that guarantee the trust route from source to sink and isolate the malicious node. The simulation results and analysis show that our model is scalable and its display high performance even if the percent of malicious nodes is high.
{"title":"A novel Trust-Based Cross-Layer Model for Wireless Sensor Networks","authors":"Hosam A. Rahhal, I. Ali, S. Shaheen","doi":"10.1109/NRSC.2011.5873629","DOIUrl":"https://doi.org/10.1109/NRSC.2011.5873629","url":null,"abstract":"Wireless Sensor Networks (WSNs) are vulnerable to attacks (selfish or malicious i.e. misbehaving nodes) due to the nature of the wireless media, restricted resource and the natural co-operations of sensors. Therefore, the security issue is very critical in WSN. The decision making in a WSN is essential for carrying out certain tasks as it aids sensors establish collaborations. In order to assist this process, trust management models could play a relevant role. Up to our knowledge, there is no one used the cross-layer concept in computing and updating the trust values. So, this paper presents new model for trust in WSN, called A Trust-Based Cross-Layer Model, which use cross-layer concept (ACKs from data link layer and TCP layer) to design trust'based model for sensor networks that guarantee the trust route from source to sink and isolate the malicious node. The simulation results and analysis show that our model is scalable and its display high performance even if the percent of malicious nodes is high.","PeriodicalId":438638,"journal":{"name":"2011 28th National Radio Science Conference (NRSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134640474","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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