Pub Date : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391604
Sara Jamil, R. Qureshi, Sohaib Ahmed
As the number of Internet of Things (IoT) devices are increasing, the data that is being produced is increasing as well. Cloud computing provides services for data storage and processing by using IT infrastructure on remote locations. With the increase in data, the load on cloud computing and communication infrastructure is on the rise as well, leading to increase in response time and latency. Fog computing addresses this issue to an extent by brining processing closer to the edge. As fog infrastructures are significantly different from cloud in terms of scale, processing capacity, bandwidth etc., they require focused analysis to improve their performance. In this paper, we analyze impact of resource distribution in small-scale fog infrastructure on its performance and resource utilization. We examine different topological arrangements of fog devices with varying resources. Our results show that the topological arrangement of fog resources affects the overall performance of fog infrastructure.
{"title":"Analyzing Effects of Resource Distribution on Performance of Fog Infrastructure","authors":"Sara Jamil, R. Qureshi, Sohaib Ahmed","doi":"10.1109/GCWOT49901.2020.9391604","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391604","url":null,"abstract":"As the number of Internet of Things (IoT) devices are increasing, the data that is being produced is increasing as well. Cloud computing provides services for data storage and processing by using IT infrastructure on remote locations. With the increase in data, the load on cloud computing and communication infrastructure is on the rise as well, leading to increase in response time and latency. Fog computing addresses this issue to an extent by brining processing closer to the edge. As fog infrastructures are significantly different from cloud in terms of scale, processing capacity, bandwidth etc., they require focused analysis to improve their performance. In this paper, we analyze impact of resource distribution in small-scale fog infrastructure on its performance and resource utilization. We examine different topological arrangements of fog devices with varying resources. Our results show that the topological arrangement of fog resources affects the overall performance of fog infrastructure.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122120250","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391590
A. Naseer, E. Baro, Sultan Daud Khan, Y. V. Gordillo
Autonomous Underwater Vehicles and Remotely Operated Vehicles equipped with HD cameras are used by the scientist to capture the underwater footages efficiently and accurately. The abundance of the Norway Lobster Nephrops norvegicus stock in the Gulf of Cadiz is assessed based on the identification and counting of the burrows where they live, using underwater videos. The Instituto Español de Oceanografía (IEO) conducts an annual standard underwater television survey (UWTV) to generate burrow density estimates of Nephrops within a defined area, with a coefficient of variation (CV) or relative standard error of less than 20%. Currently, the identification and counting of the Nephrops burrows are carried out manually by the experts. This is quite hectic and time consuming job. Computer Vision and Deep learning plays a vital role now a days in detection and classification of objects. The proposed system introduces a deep learning based automated way to identify and classify the Nephrops burrows. The proposed work is using current state of the art Faster RCNN models Inception v2 and MobileNet v2 for objects detection and classification. Tensorflow is used to evaluate the Inception and MobileNet performance with different numbers of training images. The average mean precision of Inception is more than 75% as compared to MobileNet which is 64%. The results show the comparison of Inception and MobileNet detections, as well as the calculation of True Positive and False Positive detections along with undetected burrows.
科学家使用配备高清摄像机的自主水下航行器和遥控航行器高效准确地捕捉水下图像。加的斯湾挪威龙虾(norwegian Lobster Nephrops norvegicus)的丰度是根据对它们生活的洞穴的识别和计数，使用水下视频来评估的。Español de Oceanografía研究所(IEO)每年进行一次标准水下电视调查(UWTV)，以在确定的区域内产生肾脏病变的洞穴密度估计，变异系数(CV)或相对标准误差小于20%。目前，肾脏洞的识别和计数是由专家手工进行的。这是一项相当忙碌和耗时的工作。如今，计算机视觉和深度学习在物体的检测和分类中起着至关重要的作用。提出的系统引入了一种基于深度学习的自动化方法来识别和分类肾洞。提出的工作是使用当前最先进的更快的RCNN模型Inception v2和MobileNet v2进行对象检测和分类。使用Tensorflow来评估Inception和MobileNet在不同数量的训练图像下的性能。盗梦空间的平均精度超过75%，而MobileNet的平均精度为64%。结果显示了Inception和MobileNet检测的比较，以及真阳性和假阳性检测以及未检测到的洞穴的计算。
{"title":"Automatic Detection of Nephrops norvegicus Burrows in Underwater Images Using Deep Learning","authors":"A. Naseer, E. Baro, Sultan Daud Khan, Y. V. Gordillo","doi":"10.1109/GCWOT49901.2020.9391590","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391590","url":null,"abstract":"Autonomous Underwater Vehicles and Remotely Operated Vehicles equipped with HD cameras are used by the scientist to capture the underwater footages efficiently and accurately. The abundance of the Norway Lobster Nephrops norvegicus stock in the Gulf of Cadiz is assessed based on the identification and counting of the burrows where they live, using underwater videos. The Instituto Español de Oceanografía (IEO) conducts an annual standard underwater television survey (UWTV) to generate burrow density estimates of Nephrops within a defined area, with a coefficient of variation (CV) or relative standard error of less than 20%. Currently, the identification and counting of the Nephrops burrows are carried out manually by the experts. This is quite hectic and time consuming job. Computer Vision and Deep learning plays a vital role now a days in detection and classification of objects. The proposed system introduces a deep learning based automated way to identify and classify the Nephrops burrows. The proposed work is using current state of the art Faster RCNN models Inception v2 and MobileNet v2 for objects detection and classification. Tensorflow is used to evaluate the Inception and MobileNet performance with different numbers of training images. The average mean precision of Inception is more than 75% as compared to MobileNet which is 64%. The results show the comparison of Inception and MobileNet detections, as well as the calculation of True Positive and False Positive detections along with undetected burrows.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125820589","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391625
F. Deeba, Fayaz Ali Dharejo, Yuanchun Zhou, Abdul Ghaffar, Mujahid Hussain Memon, She Kun
To improve the resolution of satellite images, many researchers are committed to machine learning and neural network-based SR methods. SR has multiple residual network frameworks in deep learning that have improved performance and can extend thousands of layers in the system. However, each layer improves accuracy by doubling the number of layers, although training thousands of layers are too expensive, the process is slow, and there are functional recovery issues. To address these issues, we propose a super-resolution wide remote sensing residual network (WRSR), in which we increase the width and reduce the depth of the residual network, due to decreasing the depth of the network our model reduced memory costs. To enhance the resolution of the single image we showed that our method improves training loss performance by performing the weight normalization instead of augmentation technology. The results of the experiment show that the method performs well in terms of quantitative indicators (PSNR) and (SSIM).
{"title":"Single Image Super-Resolution with Application to Remote-Sensing Image","authors":"F. Deeba, Fayaz Ali Dharejo, Yuanchun Zhou, Abdul Ghaffar, Mujahid Hussain Memon, She Kun","doi":"10.1109/GCWOT49901.2020.9391625","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391625","url":null,"abstract":"To improve the resolution of satellite images, many researchers are committed to machine learning and neural network-based SR methods. SR has multiple residual network frameworks in deep learning that have improved performance and can extend thousands of layers in the system. However, each layer improves accuracy by doubling the number of layers, although training thousands of layers are too expensive, the process is slow, and there are functional recovery issues. To address these issues, we propose a super-resolution wide remote sensing residual network (WRSR), in which we increase the width and reduce the depth of the residual network, due to decreasing the depth of the network our model reduced memory costs. To enhance the resolution of the single image we showed that our method improves training loss performance by performing the weight normalization instead of augmentation technology. The results of the experiment show that the method performs well in terms of quantitative indicators (PSNR) and (SSIM).","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128653006","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391627
Hammad Shaikh, A. Khan, Muhammad Rauf, Asim Nadeem, Muhammad Taha Jilani, Muhammad Talha Khan
In modern homes, energy consumption accounts for most of the economic aspects and environmental sustainability. Intelligent energy management and its control play an important role in energy supply and demand; and it will change behavior and environmental changes. For energy management and its control, a hybrid Internet of Things (IoT) and personal wireless network-based devices have been developed. In terms of the need-side-management approach, the use of energy can be intelligently controlled by the device for greater durability. In this study, electricity consumption and utilization are categorized accurately based on data collected from consumer behavior in energy consumption and utilization. First, the data cut through the device is used to identify and summarize the power consumption patterns hidden in the data. Second, the different linear mode algorithms extracted from the Schick-Lear Python library will be used for energy consumption and its intelligent power control. By analyzing different algorithms, the predictive score is found to be sufficiently efficient for the recurrence prediction, while the multi-step and lead-time technique proved to be suitable for multidimensional energy prediction. Results show that root squared mean error (RSME) performance of the predictive model increased by 35% in the lead time approach. Similarly, in per day approach it is 33% more efficient than the recursive model when residual energy forecasting is utilized.
{"title":"IoT based Linear Models Analysis for Demand-Side Management of Energy in Residential Buildings","authors":"Hammad Shaikh, A. Khan, Muhammad Rauf, Asim Nadeem, Muhammad Taha Jilani, Muhammad Talha Khan","doi":"10.1109/GCWOT49901.2020.9391627","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391627","url":null,"abstract":"In modern homes, energy consumption accounts for most of the economic aspects and environmental sustainability. Intelligent energy management and its control play an important role in energy supply and demand; and it will change behavior and environmental changes. For energy management and its control, a hybrid Internet of Things (IoT) and personal wireless network-based devices have been developed. In terms of the need-side-management approach, the use of energy can be intelligently controlled by the device for greater durability. In this study, electricity consumption and utilization are categorized accurately based on data collected from consumer behavior in energy consumption and utilization. First, the data cut through the device is used to identify and summarize the power consumption patterns hidden in the data. Second, the different linear mode algorithms extracted from the Schick-Lear Python library will be used for energy consumption and its intelligent power control. By analyzing different algorithms, the predictive score is found to be sufficiently efficient for the recurrence prediction, while the multi-step and lead-time technique proved to be suitable for multidimensional energy prediction. Results show that root squared mean error (RSME) performance of the predictive model increased by 35% in the lead time approach. Similarly, in per day approach it is 33% more efficient than the recursive model when residual energy forecasting is utilized.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115135813","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391600
Muhammad Rauf, M. Aamir, A. Khan
Under-water wireless communication link has been a topic of higher interest due to an increase in various underwater operations. Such operations demand higher bandwidth with a fast velocity. This paper presents the experimental and FEM based simulations to investigate the radio waves based wireless link because of its higher magnitude in bandwidth and speed as compared to acoustic and optical technologies. Conduction current method is employed to transmit and receive the data in a conductive medium (Saltwater) with varying propagation heights. The investigations reveal that at the shallow water (less than the length of dipole, below sea level) produce significant surface waves (Airwaves) resulting in unidentified data reception. The height below sea level, more than the dipole length has resulted in the least BER as such it may be called an authentic data reception model.
{"title":"A Prospect of Efficient radio-frequency based underwater Wireless Data Transfer","authors":"Muhammad Rauf, M. Aamir, A. Khan","doi":"10.1109/GCWOT49901.2020.9391600","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391600","url":null,"abstract":"Under-water wireless communication link has been a topic of higher interest due to an increase in various underwater operations. Such operations demand higher bandwidth with a fast velocity. This paper presents the experimental and FEM based simulations to investigate the radio waves based wireless link because of its higher magnitude in bandwidth and speed as compared to acoustic and optical technologies. Conduction current method is employed to transmit and receive the data in a conductive medium (Saltwater) with varying propagation heights. The investigations reveal that at the shallow water (less than the length of dipole, below sea level) produce significant surface waves (Airwaves) resulting in unidentified data reception. The height below sea level, more than the dipole length has resulted in the least BER as such it may be called an authentic data reception model.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125357751","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391631
Vishal Dattana, A. Kush, Raza Hasan, Salman Mahmood, V. R. Naidu
Whenever some natural disaster occurs, the immediate and most dreadful impact is a communication failure. It can easily be understood that communication systems can make a significant difference between survivals for life and death for those affected areas. In many situations, ad hoc networks have been used for recovery or communication links. The main reason behind the concept is that they are infrastructure less and can adopt any topology. Though in the research arena disaster situations are one of the challenging areas. The situation can be disastrous in many ways, in this paper underwater situation like flood etc. have been considered as a case study. It has been observed that a significant gain in the signal strength ranges from 50% to 70% have been achieved which is quite respectable in disaster situations. The performance has been evaluated in terms of energy and signals gained.
{"title":"Ad Hoc Network as a solution in Disaster Management","authors":"Vishal Dattana, A. Kush, Raza Hasan, Salman Mahmood, V. R. Naidu","doi":"10.1109/GCWOT49901.2020.9391631","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391631","url":null,"abstract":"Whenever some natural disaster occurs, the immediate and most dreadful impact is a communication failure. It can easily be understood that communication systems can make a significant difference between survivals for life and death for those affected areas. In many situations, ad hoc networks have been used for recovery or communication links. The main reason behind the concept is that they are infrastructure less and can adopt any topology. Though in the research arena disaster situations are one of the challenging areas. The situation can be disastrous in many ways, in this paper underwater situation like flood etc. have been considered as a case study. It has been observed that a significant gain in the signal strength ranges from 50% to 70% have been achieved which is quite respectable in disaster situations. The performance has been evaluated in terms of energy and signals gained.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126244022","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391601
Sharat Chandra Bhardwaj, A. Vidyarthi, B. Jassal, A. Shukla
The NavIC (Navigation with Indian Constellation) satellite system is launched by India to achieve Point Precise Positioning (PPP) system for various navigational and geodetic applications in the Indian region at S1 (2492.028 MHz) and L5 (1176.45 MHz) frequencies. However, the positional accuracy is greatly affected by the ionospheric delay introduced in NavIC measurements. The estimation of the ionospheric delay requires accurate knowledge of the line-of-site ionosphere electron content i.e. Slant Total Electron Content (STEC) present between the satellite and receiver. As the STEC is a function of solar radiation, the assessment of diurnal variability of ionospheric delay correction is necessary to achieve precise positioning and modeling of delay correction for single-frequency users. In this work, the STEC has been estimated using NavIC dual-frequency code and carrier phase measurements at S1 and L5 frequencies. The estimated STEC is also corrupted by differential instrumental biases (DIBs) of satellite and receiver. The DIBs are determined by implementing a five-stage Kalman filter and are removed to arrive at true STEC. An analysis of the first-order ionospheric corrections at S1 and L5 frequencies have been done based on data collected over June 2017 from NavIC satellites. To reduce the data volume and processing complexity, the determination of a monthly mean value has been proposed for the delay correction analysis. The delay correction at S1 frequency has been observed significantly less as compared to L5. Thus this work proposes S1 as an operating frequency in a single-frequency NavIC receiver.
{"title":"An assessment of ionospheric delay correction at L5 and S1 frequencies for NavIC Satellite System","authors":"Sharat Chandra Bhardwaj, A. Vidyarthi, B. Jassal, A. Shukla","doi":"10.1109/GCWOT49901.2020.9391601","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391601","url":null,"abstract":"The NavIC (Navigation with Indian Constellation) satellite system is launched by India to achieve Point Precise Positioning (PPP) system for various navigational and geodetic applications in the Indian region at S1 (2492.028 MHz) and L5 (1176.45 MHz) frequencies. However, the positional accuracy is greatly affected by the ionospheric delay introduced in NavIC measurements. The estimation of the ionospheric delay requires accurate knowledge of the line-of-site ionosphere electron content i.e. Slant Total Electron Content (STEC) present between the satellite and receiver. As the STEC is a function of solar radiation, the assessment of diurnal variability of ionospheric delay correction is necessary to achieve precise positioning and modeling of delay correction for single-frequency users. In this work, the STEC has been estimated using NavIC dual-frequency code and carrier phase measurements at S1 and L5 frequencies. The estimated STEC is also corrupted by differential instrumental biases (DIBs) of satellite and receiver. The DIBs are determined by implementing a five-stage Kalman filter and are removed to arrive at true STEC. An analysis of the first-order ionospheric corrections at S1 and L5 frequencies have been done based on data collected over June 2017 from NavIC satellites. To reduce the data volume and processing complexity, the determination of a monthly mean value has been proposed for the delay correction analysis. The delay correction at S1 frequency has been observed significantly less as compared to L5. Thus this work proposes S1 as an operating frequency in a single-frequency NavIC receiver.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131491311","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391602
A. Bagwari, Rahul Tiwari, V. Kushwah
A compact microstrip patch antenna (RMPA) using systematic coplanar waveguide (CPW-Fed) dual-band inverted U-slotted shaped printed antenna has designed for WiMAX/WLAN applications in this paper. Represent the antenna has an axial ratio is near about 2. A prototype CPW-Fed antenna was fabricated with FR4 Substrate with a dielectric constant of 4.3 and thickness $mathrm{h}=1.6$ mm. The antenna primarily consists of an asymmetrical coplanar waveguide with inverted U-slotted patch and excite by a $50 {Omega}$ CPW feed line for impedance matching to generate wide quad operating bands. This antenna is suitable for the range from 2.51 GHz to 3.96 GHz and 5.2–5.9 GHz. It is designed miniaturized CPW-Fed microstrip patch antenna has a compact size $35 mathrm{mm} times 39 mathrm{mm}$. This antenna to improve the gain, impedance bandwidth and also have lower return losses, better impedance matching. The main purpose of this work is to propose a wideband and improved gain antenna for mobile WiMAX, Wi-Fi/WLAN as well as military applications. The simulated results show that the proposed antenna has achieved wider bandwidth with a satisfactory gain by introducing a probe fed with shorting pin in the assistant of the partial ground plane.
{"title":"CPW-Fed Micro-Strip Patch Antenna for Wireless Communication","authors":"A. Bagwari, Rahul Tiwari, V. Kushwah","doi":"10.1109/GCWOT49901.2020.9391602","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391602","url":null,"abstract":"A compact microstrip patch antenna (RMPA) using systematic coplanar waveguide (CPW-Fed) dual-band inverted U-slotted shaped printed antenna has designed for WiMAX/WLAN applications in this paper. Represent the antenna has an axial ratio is near about 2. A prototype CPW-Fed antenna was fabricated with FR4 Substrate with a dielectric constant of 4.3 and thickness $mathrm{h}=1.6$ mm. The antenna primarily consists of an asymmetrical coplanar waveguide with inverted U-slotted patch and excite by a $50 {Omega}$ CPW feed line for impedance matching to generate wide quad operating bands. This antenna is suitable for the range from 2.51 GHz to 3.96 GHz and 5.2–5.9 GHz. It is designed miniaturized CPW-Fed microstrip patch antenna has a compact size $35 mathrm{mm} times 39 mathrm{mm}$. This antenna to improve the gain, impedance bandwidth and also have lower return losses, better impedance matching. The main purpose of this work is to propose a wideband and improved gain antenna for mobile WiMAX, Wi-Fi/WLAN as well as military applications. The simulated results show that the proposed antenna has achieved wider bandwidth with a satisfactory gain by introducing a probe fed with shorting pin in the assistant of the partial ground plane.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130904122","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391615
Arafa Omer Norain Malik, M. Hasan, R. Saeed, R. Mokhtar, Siti Norul Huda Sheikh Abdullah, M. Ahmed, S. Islam
Satellite communication can offer easy access means of communication at the tactical level. Reliable transmissions of video, voice, and data are critical parts of a successful communication sphere. Due to the rain attenuation, applications such as voice, video and data effects severely. This paper assesses the rain attenuation effects for satellite communications in Sudan. The assessment has done considering two steps. Firstly, the ITU rain attenuation model is derived and configured for the different values and for different frequency bands. Second, the simulation of a satellite link with Binary Phase Shift Keying (BPSK) modulation for data transmission and reception through fixed as well as the mobile channel has considered. Therefore, the rain effect is simulated using Gaussian distribution function, and lognormal distribution for multipath fading effect. Through the result analysis, the Bit Error Rate (BER) for both scenarios is assessed.
{"title":"Rain Attenuation Models for Mobile Satellite Communication in Sudan","authors":"Arafa Omer Norain Malik, M. Hasan, R. Saeed, R. Mokhtar, Siti Norul Huda Sheikh Abdullah, M. Ahmed, S. Islam","doi":"10.1109/GCWOT49901.2020.9391615","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391615","url":null,"abstract":"Satellite communication can offer easy access means of communication at the tactical level. Reliable transmissions of video, voice, and data are critical parts of a successful communication sphere. Due to the rain attenuation, applications such as voice, video and data effects severely. This paper assesses the rain attenuation effects for satellite communications in Sudan. The assessment has done considering two steps. Firstly, the ITU rain attenuation model is derived and configured for the different values and for different frequency bands. Second, the simulation of a satellite link with Binary Phase Shift Keying (BPSK) modulation for data transmission and reception through fixed as well as the mobile channel has considered. Therefore, the rain effect is simulated using Gaussian distribution function, and lognormal distribution for multipath fading effect. Through the result analysis, the Bit Error Rate (BER) for both scenarios is assessed.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130146230","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 : 2020-10-06DOI: 10.1109/GCWOT49901.2020.9391607
M. A. Ilyas, M. Othman, B. Das
Dynamic symbol size modulation is a type modulation which could provide a fast transmission speed by removing the redundant symbol as compared to fixed symbol size modulation. The dynamic nature of the symbol created an additional problem in hardware design as the size of the symbol needed to be defined clearly and it cannot be changed and altered once the design has been generated. Thus, to address the issue, this research investigated the best implementation method and performance study of fixed and dynamic symbol size digital baseband modulation for an optical communication system in FPGA hardware design. KCU105 FPGA development board and Vivado software were chosen as the main platform to implement the design. A new Dynamic-Parallel Input Serial Output (D-PISO) architecture to implement dynamic symbol size baseband modulation in FPGA is created. Next, by using D-PISO architecture, dynamic symbol size modulation namely 8-reverse dual header pulse interval modulation (8-RDHPIM), 8-digital pulse interval modulation (8-DPIM) and fixed symbol size modulation 8-pulse position modulation (8-PPM) were fully implemented in the FPGA which has a transmitter and receiver module. An experimental comparative study was then carried out for each modulation technique. The main parameters investigated were symbol error rate performances. From the results, it can be concluded that for a power-limited system, 8-PPM could be selected as it can maintain a small number of symbol error rate (SER) even during low power transmission which is around −6 dBm. On the other hand, the 8-DPIM and 8-RDHPIM that achieved the transmission speed of 33.3 Mbps and 27.27 Mbps are suitable for systems that require high data speed and minimal clock synchronization.
{"title":"Performance Study of Three (3) Digital Modulations Using New D-PISO Architecture In FPGA","authors":"M. A. Ilyas, M. Othman, B. Das","doi":"10.1109/GCWOT49901.2020.9391607","DOIUrl":"https://doi.org/10.1109/GCWOT49901.2020.9391607","url":null,"abstract":"Dynamic symbol size modulation is a type modulation which could provide a fast transmission speed by removing the redundant symbol as compared to fixed symbol size modulation. The dynamic nature of the symbol created an additional problem in hardware design as the size of the symbol needed to be defined clearly and it cannot be changed and altered once the design has been generated. Thus, to address the issue, this research investigated the best implementation method and performance study of fixed and dynamic symbol size digital baseband modulation for an optical communication system in FPGA hardware design. KCU105 FPGA development board and Vivado software were chosen as the main platform to implement the design. A new Dynamic-Parallel Input Serial Output (D-PISO) architecture to implement dynamic symbol size baseband modulation in FPGA is created. Next, by using D-PISO architecture, dynamic symbol size modulation namely 8-reverse dual header pulse interval modulation (8-RDHPIM), 8-digital pulse interval modulation (8-DPIM) and fixed symbol size modulation 8-pulse position modulation (8-PPM) were fully implemented in the FPGA which has a transmitter and receiver module. An experimental comparative study was then carried out for each modulation technique. The main parameters investigated were symbol error rate performances. From the results, it can be concluded that for a power-limited system, 8-PPM could be selected as it can maintain a small number of symbol error rate (SER) even during low power transmission which is around −6 dBm. On the other hand, the 8-DPIM and 8-RDHPIM that achieved the transmission speed of 33.3 Mbps and 27.27 Mbps are suitable for systems that require high data speed and minimal clock synchronization.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116394794","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：