Pub Date : 2020-04-01DOI: 10.1109/CSASE48920.2020.9142078
Aveen Jalal Mohammed, Hasan S. M. Al-Khaffaf
Optical font recognition is an important process applied before or after optical character recognition. This paper presents a system for recognizing English fonts of character images. Feature selection plays a major role in recognizing the font; hence, we used normalized central moments (NCM) as the feature of choice in this study. What differentiates this study from others is the attempt to use another popular feature (distance profile features) used by other researchers and compare the results of the two. The support vector machine (SVM) method is used in training and testing. A system is developed that extracts the two features and trains two SVM models. Simulation results based on a dataset of 27,620 images belonging to three English fonts show that the proposed system can achieve an overall 94.9% correct recognition rate based on normalized central moments, while the system can achieve an overall 94.82% correct recognition rate when using distance profile features.
{"title":"Font Recognition of English Letters Using Normalized Central Moments Features","authors":"Aveen Jalal Mohammed, Hasan S. M. Al-Khaffaf","doi":"10.1109/CSASE48920.2020.9142078","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142078","url":null,"abstract":"Optical font recognition is an important process applied before or after optical character recognition. This paper presents a system for recognizing English fonts of character images. Feature selection plays a major role in recognizing the font; hence, we used normalized central moments (NCM) as the feature of choice in this study. What differentiates this study from others is the attempt to use another popular feature (distance profile features) used by other researchers and compare the results of the two. The support vector machine (SVM) method is used in training and testing. A system is developed that extracts the two features and trains two SVM models. Simulation results based on a dataset of 27,620 images belonging to three English fonts show that the proposed system can achieve an overall 94.9% correct recognition rate based on normalized central moments, while the system can achieve an overall 94.82% correct recognition rate when using distance profile features.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115499906","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 : 2020-04-01DOI: 10.1109/CSASE48920.2020.9142116
Ahmed Khazaal Sulaiman, S. A. Mahmood
Recently, an increasing in videos amount presents in cyberspace in conjunction with growth of multimedia communications and technologies, and low-cost storage devices; it has become obligatory to have the capability to rapidly browse and search through huge multimedia databases. In this context, video summarization-based video retrieval has become a critical issue needs to be addressed. The main objective of shots boundary detection SBD methods pursues to detect the transitions between consecutive frames along video sequences in term of shots boundary detection. Hence, shots with abundant information are employed in the content-based video retrieval. This paper presents a new approach for shot boundary detection with two main challenges; static and dynamic objects with static and dynamic camera motion. The proposed method employed the Dynamic Time Warping DTW method for identifying the differences between sequenced frames. The abrupt and gradual changes are captured along frame’s sequences within and between shots based on mean shift technique. From the experiments, the proposed shot boundary detection based key frame extraction method exhibits an efficient performance represented by more informative frames with less redundancy.
{"title":"Shot Boundaries Detection Based Video Summary Using Dynamic Time Warping and Mean Shift","authors":"Ahmed Khazaal Sulaiman, S. A. Mahmood","doi":"10.1109/CSASE48920.2020.9142116","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142116","url":null,"abstract":"Recently, an increasing in videos amount presents in cyberspace in conjunction with growth of multimedia communications and technologies, and low-cost storage devices; it has become obligatory to have the capability to rapidly browse and search through huge multimedia databases. In this context, video summarization-based video retrieval has become a critical issue needs to be addressed. The main objective of shots boundary detection SBD methods pursues to detect the transitions between consecutive frames along video sequences in term of shots boundary detection. Hence, shots with abundant information are employed in the content-based video retrieval. This paper presents a new approach for shot boundary detection with two main challenges; static and dynamic objects with static and dynamic camera motion. The proposed method employed the Dynamic Time Warping DTW method for identifying the differences between sequenced frames. The abrupt and gradual changes are captured along frame’s sequences within and between shots based on mean shift technique. From the experiments, the proposed shot boundary detection based key frame extraction method exhibits an efficient performance represented by more informative frames with less redundancy.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115597493","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 : 2020-04-01DOI: 10.1109/CSASE48920.2020.9142081
S. H. Fadhil, R. H. Thaher
A new design of microstrip patch antenna for Global Positioning System (GPS) is presented. The proposed model operates at 1. 575GHz resonant frequency and has a gain 4.974 dBi and axial ratio 2.956 with S11 = – 35.S54dB. Various parameters such as return loss, Voltage Standing Wave Ratio (VSWR) and input impedance has been analyzed. The GPS antenna elements is achieved by using rectangular patch with two corners truncated slots. Many slots are added to the patch and ground plane to obtain the resonant frequency at best value of return loss (i.e. S11 $leq$-10dB). The model was fabricated and tested practically using Vector Network Analyzer (VNA). The proposed patch antenna was manufactured on substrate with relative dielectric constant $varepsilon mathrm{r}=4.3$ and loss tangent $tandelta=0.025$ and tested practically. It was noted that there is a reasonable agreement between the simulation results and practical results. The slight difference is attributed to manufacturing errors.
{"title":"Design and Fabrication of GPS Microstrip Antenna","authors":"S. H. Fadhil, R. H. Thaher","doi":"10.1109/CSASE48920.2020.9142081","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142081","url":null,"abstract":"A new design of microstrip patch antenna for Global Positioning System (GPS) is presented. The proposed model operates at 1. 575GHz resonant frequency and has a gain 4.974 dBi and axial ratio 2.956 with S11 = – 35.S54dB. Various parameters such as return loss, Voltage Standing Wave Ratio (VSWR) and input impedance has been analyzed. The GPS antenna elements is achieved by using rectangular patch with two corners truncated slots. Many slots are added to the patch and ground plane to obtain the resonant frequency at best value of return loss (i.e. S11 $leq$-10dB). The model was fabricated and tested practically using Vector Network Analyzer (VNA). The proposed patch antenna was manufactured on substrate with relative dielectric constant $varepsilon mathrm{r}=4.3$ and loss tangent $tandelta=0.025$ and tested practically. It was noted that there is a reasonable agreement between the simulation results and practical results. The slight difference is attributed to manufacturing errors.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124670834","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 : 2020-04-01DOI: 10.1109/CSASE48920.2020.9142122
Parishan M. Ismael, Harman Y. Ibrahim, A. Al-Khalil
the increased number of vehicles in a high density population area is an issue especially when these areas are unorganized in term of vehicles parking facilities. Having good automated road management and smart parking reservation systems can help to decrease traffic congestion, fuel consumption and save the driver’s time. This paper introduces the concepts of Vehicular Cloud Computing to design and implement a real time parking reservation system. The proposed system is typically built upon OMNeT++ and SUMO Simulators by integrating Bellman-Ford and Dijkstra algorithms, to get the shortest path(s) about available parking spaces in a particular geographic area. The proposed system has also taken into consideration the authentication issue to prevent unauthorized parking.
{"title":"A Real Time Parking Reservation System Based on Vehicular Cloud Computing","authors":"Parishan M. Ismael, Harman Y. Ibrahim, A. Al-Khalil","doi":"10.1109/CSASE48920.2020.9142122","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142122","url":null,"abstract":"the increased number of vehicles in a high density population area is an issue especially when these areas are unorganized in term of vehicles parking facilities. Having good automated road management and smart parking reservation systems can help to decrease traffic congestion, fuel consumption and save the driver’s time. This paper introduces the concepts of Vehicular Cloud Computing to design and implement a real time parking reservation system. The proposed system is typically built upon OMNeT++ and SUMO Simulators by integrating Bellman-Ford and Dijkstra algorithms, to get the shortest path(s) about available parking spaces in a particular geographic area. The proposed system has also taken into consideration the authentication issue to prevent unauthorized parking.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123332237","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 : 2020-04-01DOI: 10.1109/CSASE48920.2020.9142111
Amnah A. Careem, W. Ali, Manal H. Jasim
Indoor positioning (IPS) detection is a research area, presently undergoing development, mainly due to its applicability in the construction of different system types. Because it is, the Smartphone has become an integrated part of human daily life with its capability of connecting to Wireless Fidelity (Wi-Fi) network, which can be used as a tool in positioning systems. The idea of the proposed system is to use the Wi-Fi access points, inside the building, together with a Smartphone Wi-Fi sensor for constructing an accurate and reliable indoor positioning system which lets the building administrator locate those carrying smartphones, wherever they exist inside the building. The proposed system uses fingerprinting technique it is consists of the two-stage the first is a testing phase (or preparation phase) and therefore, the second is the training phase (or positioning phase). Three types of intelligent classifier algorithms are used; these algorithms are KNearest Neighbor (K-NN), Multilayer Perceptron neural network (MLP), and Support Vector Machine (SVM). The performance results of the suggested classifiers based on the detection of the location of the target demonstrate that the detection accuracy for MLP is 94.38% and SVM is 90.91%. The best success rate is obtained when using KNN classifiers, which is 96.8595% and the mean error rate (m) is 1.2m when used KNN classifier.
{"title":"Wirelessly Indoor Positioning System based on RSS Signal","authors":"Amnah A. Careem, W. Ali, Manal H. Jasim","doi":"10.1109/CSASE48920.2020.9142111","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142111","url":null,"abstract":"Indoor positioning (IPS) detection is a research area, presently undergoing development, mainly due to its applicability in the construction of different system types. Because it is, the Smartphone has become an integrated part of human daily life with its capability of connecting to Wireless Fidelity (Wi-Fi) network, which can be used as a tool in positioning systems. The idea of the proposed system is to use the Wi-Fi access points, inside the building, together with a Smartphone Wi-Fi sensor for constructing an accurate and reliable indoor positioning system which lets the building administrator locate those carrying smartphones, wherever they exist inside the building. The proposed system uses fingerprinting technique it is consists of the two-stage the first is a testing phase (or preparation phase) and therefore, the second is the training phase (or positioning phase). Three types of intelligent classifier algorithms are used; these algorithms are KNearest Neighbor (K-NN), Multilayer Perceptron neural network (MLP), and Support Vector Machine (SVM). The performance results of the suggested classifiers based on the detection of the location of the target demonstrate that the detection accuracy for MLP is 94.38% and SVM is 90.91%. The best success rate is obtained when using KNN classifiers, which is 96.8595% and the mean error rate (m) is 1.2m when used KNN classifier.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116478272","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 : 2020-04-01DOI: 10.1109/CSASE48920.2020.9142067
Methaq A. Ali, A. H. Miry, T. M. Salman
Internet of Things (IoT) has been widely used in various applications such as health and safety, smart homes, greenhouses, and industrial application. It has been increasingly utilized in the industry owing to its benefits in terms of enhancing the overall performance of a given system. There is a need to engage the IoT technology to meet the requirements in many local industries, especially in developing countries. This can be formulated as having an effective automation system that monitors all essential parts of the system and responds to it in the real-time of all sensitive physical variables on the system. This is called the Industrial Internet of Things (IIoT). In this paper, a prototype system has been implemented for artificial control and monitoring using IoT. The article includes two control systems executed: classical PID (Proportional Integral Derivative) and fuzzy logic with a comparison between them. Fuzzy control is first simulated using MATLAB-R2018b then developing a fuzzy algorithm based on Sugeno method inside PLC (Programmable Logic Controller). The connection of PLC with OPC (Object Process Control) server and sensors is used by the Modbus protocol. The IoT system is designed to utilize the OPC and MQTT (Message Queuing Telemetry Transport), and the obtained data will be uploaded to the cloud. ESP8266 is used to connect the sensors to the router through wireless communication.
物联网(IoT)已广泛应用于健康安全、智能家居、温室和工业应用等各种应用领域。由于它在提高给定系统的整体性能方面的好处，它在工业中得到了越来越多的利用。有必要采用物联网技术来满足许多当地行业的要求，特别是在发展中国家。这可以表述为拥有一个有效的自动化系统，该系统监控系统的所有重要部分，并对系统上所有敏感的物理变量进行实时响应。这被称为工业物联网(IIoT)。本文利用物联网实现了一个用于人工控制和监测的原型系统。本文介绍了经典PID(比例积分导数)和模糊逻辑两种控制系统，并对它们进行了比较。首先使用MATLAB-R2018b对模糊控制进行仿真，然后在PLC(可编程逻辑控制器)内部开发基于Sugeno方法的模糊算法。PLC与OPC (Object Process Control，对象过程控制)服务器和传感器的连接采用Modbus协议。物联网系统旨在利用OPC和MQTT(消息队列遥测传输)，并将获得的数据上传到云端。ESP8266用于通过无线通信将传感器连接到路由器。
{"title":"IoT Based Water Tank Level Control System Using PLC","authors":"Methaq A. Ali, A. H. Miry, T. M. Salman","doi":"10.1109/CSASE48920.2020.9142067","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142067","url":null,"abstract":"Internet of Things (IoT) has been widely used in various applications such as health and safety, smart homes, greenhouses, and industrial application. It has been increasingly utilized in the industry owing to its benefits in terms of enhancing the overall performance of a given system. There is a need to engage the IoT technology to meet the requirements in many local industries, especially in developing countries. This can be formulated as having an effective automation system that monitors all essential parts of the system and responds to it in the real-time of all sensitive physical variables on the system. This is called the Industrial Internet of Things (IIoT). In this paper, a prototype system has been implemented for artificial control and monitoring using IoT. The article includes two control systems executed: classical PID (Proportional Integral Derivative) and fuzzy logic with a comparison between them. Fuzzy control is first simulated using MATLAB-R2018b then developing a fuzzy algorithm based on Sugeno method inside PLC (Programmable Logic Controller). The connection of PLC with OPC (Object Process Control) server and sensors is used by the Modbus protocol. The IoT system is designed to utilize the OPC and MQTT (Message Queuing Telemetry Transport), and the obtained data will be uploaded to the cloud. ESP8266 is used to connect the sensors to the router through wireless communication.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":" 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113949651","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 : 2020-04-01DOI: 10.1109/CSASE48920.2020.9142104
Adnan Ali Abdullah, R. Fyath
Recently, there is increasing interest in high-spectral efficiency (SE) optical superchannel transmission employing an optical frequency comb generator (OFCG) driven by a single semiconductor laser. This paper introduces a new configuration for OFCG suitable for this application which consists of series connection of a dual-parallel Mach-Zhender modulator (DP-MZM) and two electro-absorption modulators (EAMs). The proposed configuration is able to generate 62 comb lines, within 1 dB-flatness, separated by 25 GHz spacing. The use of the proposed comb in 64-channel WDM superchannel operating with 160Gbps dual-polarization 16-QAM signal per comb line is demonstrated by simulation over around 500 km transmission. The simulation is based on a commercial package, namely Optisystem ver. 15.
{"title":"High-Spectral Efficiency Transmission Based on New Design of Optical Frequency Comb Generato","authors":"Adnan Ali Abdullah, R. Fyath","doi":"10.1109/CSASE48920.2020.9142104","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142104","url":null,"abstract":"Recently, there is increasing interest in high-spectral efficiency (SE) optical superchannel transmission employing an optical frequency comb generator (OFCG) driven by a single semiconductor laser. This paper introduces a new configuration for OFCG suitable for this application which consists of series connection of a dual-parallel Mach-Zhender modulator (DP-MZM) and two electro-absorption modulators (EAMs). The proposed configuration is able to generate 62 comb lines, within 1 dB-flatness, separated by 25 GHz spacing. The use of the proposed comb in 64-channel WDM superchannel operating with 160Gbps dual-polarization 16-QAM signal per comb line is demonstrated by simulation over around 500 km transmission. The simulation is based on a commercial package, namely Optisystem ver. 15.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134583493","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 : 2020-04-01DOI: 10.1109/CSASE48920.2020.9142070
Nidhal K. El Abbadi, Elham Mohammed Thabit A. Alsaadi
On over years, the accuracy level of any algorithm for animal detection using a computer vision system is still practically unusable under uncontrolled environment. A lot of interesting has been shown to object detection, recognition, and classification, etc. Visual monitoring in scenes, for animal, is currently one of the most active research topics in computer vision (CV). In spite of there are a lot of research, intelligent, real-time, but the methods of dynamic object detection and recognition are still unavailable. This paper suggests using Deep Convolutional Neural Network (CNN) to detect and classify the animals (vertebrate classes) in digital images. Our dataset consists of 12000 different images, 9600 images for training stage, and the rest images (2400) for evaluation stage. After apply the proposed system, we found the best image size for this algorithm is 50x50 and the best number of epochs is 100. The total performance of the results reached to 97.5%. The experimental results reflected that the proposed algorithm has a positive effect on overall animal classification performance.
{"title":"An Automated Vertebrate Animals Classification Using Deep Convolution Neural Networks","authors":"Nidhal K. El Abbadi, Elham Mohammed Thabit A. Alsaadi","doi":"10.1109/CSASE48920.2020.9142070","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142070","url":null,"abstract":"On over years, the accuracy level of any algorithm for animal detection using a computer vision system is still practically unusable under uncontrolled environment. A lot of interesting has been shown to object detection, recognition, and classification, etc. Visual monitoring in scenes, for animal, is currently one of the most active research topics in computer vision (CV). In spite of there are a lot of research, intelligent, real-time, but the methods of dynamic object detection and recognition are still unavailable. This paper suggests using Deep Convolutional Neural Network (CNN) to detect and classify the animals (vertebrate classes) in digital images. Our dataset consists of 12000 different images, 9600 images for training stage, and the rest images (2400) for evaluation stage. After apply the proposed system, we found the best image size for this algorithm is 50x50 and the best number of epochs is 100. The total performance of the results reached to 97.5%. The experimental results reflected that the proposed algorithm has a positive effect on overall animal classification performance.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114724373","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 : 2020-04-01DOI: 10.1109/CSASE48920.2020.9142112
S. M. Fayadh, S. T. Hasson
Efficiency and accuracy are crucial in air traffic systems with the latest growth in air flights and transportation. Therefore, it is imperative to have an integrated safety system that assures the safety of an air flight in different unexpected weather conditions. This paper utilizes air traffic in the US area as an example model. The main aspect of determining the locations of cities according to the radar sites is the latitude and longitude of each location. In addition, an integrated radar system is required to cover all of America’s states. Different weather datasets are combined and integrated with the radar image technology into one collected weather map. The weather map is used to facilities of Quantum Geographic Information System (QGIS). Moreover, it followed and updated every two minutes to observe and avoid any emergency case.
{"title":"A Safest Flight Path Approach to Avoid Atmospheric Weather Impacts","authors":"S. M. Fayadh, S. T. Hasson","doi":"10.1109/CSASE48920.2020.9142112","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142112","url":null,"abstract":"Efficiency and accuracy are crucial in air traffic systems with the latest growth in air flights and transportation. Therefore, it is imperative to have an integrated safety system that assures the safety of an air flight in different unexpected weather conditions. This paper utilizes air traffic in the US area as an example model. The main aspect of determining the locations of cities according to the radar sites is the latitude and longitude of each location. In addition, an integrated radar system is required to cover all of America’s states. Different weather datasets are combined and integrated with the radar image technology into one collected weather map. The weather map is used to facilities of Quantum Geographic Information System (QGIS). Moreover, it followed and updated every two minutes to observe and avoid any emergency case.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127905724","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 : 2020-04-01DOI: 10.1109/CSASE48920.2020.9142110
Sarah Kareem Salim, R. Fyath
Recently, there is increasing interest in the design of high-capacity data center optical interconnects (OICs) for data centers using space-division multiplexing (SDM) technique. This paper presents design concepts and performance evaluation of multicore fiber (MCF)-based OIC suitable for 50 THz data transmission. The OIC is designed with 7 cores, 24 wave length-division multiplexed (WDM) channels, and 320 Gbps dual-polarization (DP) 16 quadrature amplitude modulation (QAM) signaling per channel. Simulation results reveal that the OIC can support 10 km transmission when the intercore crosstalk level is less than - 18.5 dB. The simulation results are obtained using VPIphotonics software and can be used as a guideline to design higher data rate SDM-OICs.
{"title":"Performance Investigation of Multicore Optical Interconnects for Data Centers","authors":"Sarah Kareem Salim, R. Fyath","doi":"10.1109/CSASE48920.2020.9142110","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142110","url":null,"abstract":"Recently, there is increasing interest in the design of high-capacity data center optical interconnects (OICs) for data centers using space-division multiplexing (SDM) technique. This paper presents design concepts and performance evaluation of multicore fiber (MCF)-based OIC suitable for 50 THz data transmission. The OIC is designed with 7 cores, 24 wave length-division multiplexed (WDM) channels, and 320 Gbps dual-polarization (DP) 16 quadrature amplitude modulation (QAM) signaling per channel. Simulation results reveal that the OIC can support 10 km transmission when the intercore crosstalk level is less than - 18.5 dB. The simulation results are obtained using VPIphotonics software and can be used as a guideline to design higher data rate SDM-OICs.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125155478","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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