Social media is a barometer to anticipate sentiment of the public about the state of affairs and ... more Social media is a barometer to anticipate sentiment of the public about the state of affairs and ongoing pandemic engaged an additional user base who are confined to their stations. COVID-19 startled the world and the crisis exacerbates in the absence of sufficient data for policy making. The data from social media and a timely analysis can provide sufficient statistics for decision-making. This study explores Twitter data to discover knowledgeable statistics on public sentiments about COVID-19 vaccination in developing countries. The study inspects data collected from two extremely populated developing countries: India and Pakistan. Support Vector Machine (SVM) classifier achieves 74.3% accuracy on the manually labeled dataset. Furthermore, the sentiment analysis is correlated with other indigenous factors like regional literacy rate and COVID-19 calamities in the time interval. It is observed that the negative to positive sentiments correlates with a lower to higher regional literacy rate and a higher COVID-19 intensity causes positive sentiments towards vaccination. The correlations of results with indigenous factors may help to advocate the devised strategies to the right audience and social media knowledge discovery with machine learning techniques may help to recover from data scarcity challenges in a medical emergency like COVID-19 in developing countries.
2021 International Conference on Innovative Computing (ICIC), Nov 9, 2021
Cognitive radio innovation could be able to alleviate the limitation of accessible radio spectrum... more Cognitive radio innovation could be able to alleviate the limitation of accessible radio spectrum by facilitating dynamic spectrum access. Analysts have indeed been focusing on empowering this innovative idea in dealing with the wireless spectrum since its presentation. As a result, rapid progress has been made in this sector of exploration. Reviews and instructional exercise papers are absolutely necessary to keep analysts up to speed with these advancements. As a result, we wanted to take a deeper look at the most emerging technologies in sensing of spectrum, from their origins to their present state and history, in this research. We also discuss the advantages and disadvantages of both wideband and narrowband sensing of spectrum techniques, including the implementation challenges. The primary genuine usage of cognitive radio is also discussed in this study as television blank zones. Finally, but certainly not least, we examine at anticipated assessment directions. This study paper was written to help young scientists in the area understand the fundamentals of compressive sensing, spectrum sensing, and artificial intelligence (AI), which are all inspiring for future research and application, as well as to assist analysts in promoting the usefulness of spectrum sensing.
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)
In this article, an ultra-wideband antenna has been presented for medical applications which have... more In this article, an ultra-wideband antenna has been presented for medical applications which have a resonant frequency of 10.35GHz and offers a bandwidth of 1400MHz with a return loss of-19db. The presented antenna is low-cost lightweight and can easily be integrated inside the circuit. As this antenna is designed for medical applications its size is compact and is fed utilizing a coaxial feeding technique which is especially plentiful for operative radiotherapy applications. The designed antenna is rectangular and covers an overall size of 24x12mm with a thickness of 1mm. The proposed antenna is designed using CST studio as a simulation tool, the extracted results of important parameters like return loss, surface current, reference impedance, and far-field have achieved remarkable results which are illustrated in the article. which makes it suitable for radiotherapy. A high epsilon valued ε r = 4.8, tan δ = 0.02 substrate GT-008 has been employed as a dielectric material whereas copper is being used for the ground and radiating patches. The performance of the antenna in the X-band is satisfactory which makes it suitable for radiotherapy.
Social media is a barometer to anticipate sentiment of the public about the state of affairs and ... more Social media is a barometer to anticipate sentiment of the public about the state of affairs and ongoing pandemic engaged an additional user base who are confined to their stations. COVID-19 startled the world and the crisis exacerbates in the absence of sufficient data for policy making. The data from social media and a timely analysis can provide sufficient statistics for decision-making. This study explores Twitter data to discover knowledgeable statistics on public sentiments about COVID-19 vaccination in developing countries. The study inspects data collected from two extremely populated developing countries: India and Pakistan. Support Vector Machine (SVM) classifier achieves 74.3% accuracy on the manually labeled dataset. Furthermore, the sentiment analysis is correlated with other indigenous factors like regional literacy rate and COVID-19 calamities in the time interval. It is observed that the negative to positive sentiments correlates with a lower to higher regional liter...
VFAST transactions on software engineering, Jan 13, 2015
Software development process is dynamic in nature and it has contrasting impact on software devel... more Software development process is dynamic in nature and it has contrasting impact on software development based on Return on Investment (ROI). It plays an important role in successful software development and can also create difficulties during the software construction in terms of increasing effort, schedule and cost. Factors of changing requirements, prediction of requirement change and the strategies to deal with them are needed to be analyzed for better management of requirement change. Regardless of all research efforts based on requirement change, there is still a need to analyze the factors of requirement change from industrial evidences to minimize its negative impact on software development. The aim of study is to highlight main and sub causes of requirement change that can disrupt software development process.
2021 International Conference on Innovative Computing (ICIC), 2021
Cognitive radio innovation could be able to alleviate the limitation of accessible radio spectrum... more Cognitive radio innovation could be able to alleviate the limitation of accessible radio spectrum by facilitating dynamic spectrum access. Analysts have indeed been focusing on empowering this innovative idea in dealing with the wireless spectrum since its presentation. As a result, rapid progress has been made in this sector of exploration. Reviews and instructional exercise papers are absolutely necessary to keep analysts up to speed with these advancements. As a result, we wanted to take a deeper look at the most emerging technologies in sensing of spectrum, from their origins to their present state and history, in this research. We also discuss the advantages and disadvantages of both wideband and narrowband sensing of spectrum techniques, including the implementation challenges. The primary genuine usage of cognitive radio is also discussed in this study as television blank zones. Finally, but certainly not least, we examine at anticipated assessment directions. This study paper was written to help young scientists in the area understand the fundamentals of compressive sensing, spectrum sensing, and artificial intelligence (AI), which are all inspiring for future research and application, as well as to assist analysts in promoting the usefulness of spectrum sensing.
2021 International Conference on Innovative Computing (ICIC), 2021
Software Requirement Engineering (RE) has been considered as the most significant part of softwar... more Software Requirement Engineering (RE) has been considered as the most significant part of software development life cycle (SDLC). It impacts the overall project progress and quality of the final product. Spending insufficient amount of time and effort in requirement engineering phase can increase the cost of errors in next phases of SDLC. Many approaches and techniques have been proposed by researchers so far, but all of them have not been practiced very widely in the industry. In order to further refine and improve requirement engineering process, problems faced in contemporary practice needs to be understood. General objective of this research is to identify and analyze requirement engineering practices in Pakistani Software Industry. Survey is used to gather data from local software industry. The analysis presents how frequently a particular type of RE practice is being used by local industry experts. The ultimate goal is to suggest best practices in requirement engineering and give recommendations to upcoming researchers regarding methods and techniques in this research area.
2021 International Conference on Innovative Computing (ICIC), 2021
developing countries are generally faced with several problems due to which their economy is most... more developing countries are generally faced with several problems due to which their economy is mostly at stake. Long term opportunities can play a vital role in increasing investments. CPEC is a great initiative taken by Pakistan and China for improving interest of investors for participation. This paper discusses timeline of CPEC project. Previous and ongoing projects are both discussed in the paper. The paper recommends to use Chinese social media for CPEC project. There is a breakthrough of different social media platforms in CPEC which is the main focus of this paper. A video bearer model is developed by the authors to make YouTube videos accessible for VKontakte (Vk) users which can give awareness to users about Chinese market trends related to CPEC. The paper is attractive for entrepreneurs who are interested in CPEC. Self-observance is used for getting results from different websites and some results are derived from vidIQ tool. This research is beneficial to entrepreneurs interested in investment and it is useful for providing consultancy to investors. Also, in the paper authors have observed the expected barriers..
Given the growth of scientific literature on the web, particularly material science, acquiring da... more Given the growth of scientific literature on the web, particularly material science, acquiring data precisely from the literature has become more significant. Material information systems, or chemical information systems, play an essential role in discovering data, materials, or synthesis processes using the existing scientific literature. Processing and understanding the natural language of scientific literature is the backbone of these systems, which depend heavily on appropriate textual content. Appropriate textual content means a complete, meaningful sentence from a large chunk of textual content. The process of detecting the beginning and end of a sentence and extracting them as correct sentences is called sentence boundary extraction. The accurate extraction of sentence boundaries from PDF documents is essential for readability and natural language processing. Therefore, this study provides a comparative analysis of different tools for extracting PDF documents into text, which...
Software development process is dynamic in nature and it has contrasting impact on software devel... more Software development process is dynamic in nature and it has contrasting impact on software development based on Return on Investment (ROI). It plays an important role in successful software development and can also create difficulties during the software construction in terms of increasing effort, schedule and cost. Factors of changing requirements, prediction of requirement change and the strategies to deal with them are needed to be analyzed for better management of requirement change. Regardless of all research efforts based on requirement change, there is still a need to analyze the factors of requirement change from industrial evidences to minimize its negative impact on software development. The aim of study is to highlight main and sub causes of requirement change that can disrupt software development process.
Numerous P2P networks are available covering different areas of P2P technologies. Since P2P netwo... more Numerous P2P networks are available covering different areas of P2P technologies. Since P2P network overlays are good for creating large scale content distribution and data sharing applications, an ample amount of effort has been made to improve the performance of these networks. Moreover, rapid development of P2P technologies has left older technologies far behind. The goal of this paper is to study and present a comprehensive overview of some of these networks. Furthermore, a comparison of Unstructured P2P file sharing wired networks with their distinct characteristics has been presented. In this paper, various features of P2P networks have been studied that results in understanding the behavior of these protocols under different circumstances. A critical analysis of the state of art P2P networks has been made taking care of various significant features for both wired. The analysis presents the effectiveness of different systems in different circumstances. This research aims to pr...
2021 4th International Conference on Data Science and Information Technology
Reverse Engineering on image contours plays a significant role in data reduction, transformation ... more Reverse Engineering on image contours plays a significant role in data reduction, transformation and deformation of shapes without the loss of reasonable quality. The mathematical basis of captured contours are used in various applied areas such as facial modeling, animations, real time image processing applications, automatic sketching, shape matching, capturing hand drawn images and designing civil engineering, bio-medical and mechanical engineering objects etc. The authors do hope that this article can effectively provides algorithmic review for approximating outlines of planar images. Furthermore, it offers a sound analysis of pros and cons of specified techniques. It also delivers enhancements and optimizations via exploring the weaknesses of existing algorithms and attacking them through hybrid solutions.
Social media is a barometer to anticipate sentiment of the public about the state of affairs and ... more Social media is a barometer to anticipate sentiment of the public about the state of affairs and ongoing pandemic engaged an additional user base who are confined to their stations. COVID-19 startled the world and the crisis exacerbates in the absence of sufficient data for policy making. The data from social media and a timely analysis can provide sufficient statistics for decision-making. This study explores Twitter data to discover knowledgeable statistics on public sentiments about COVID-19 vaccination in developing countries. The study inspects data collected from two extremely populated developing countries: India and Pakistan. Support Vector Machine (SVM) classifier achieves 74.3% accuracy on the manually labeled dataset. Furthermore, the sentiment analysis is correlated with other indigenous factors like regional literacy rate and COVID-19 calamities in the time interval. It is observed that the negative to positive sentiments correlates with a lower to higher regional literacy rate and a higher COVID-19 intensity causes positive sentiments towards vaccination. The correlations of results with indigenous factors may help to advocate the devised strategies to the right audience and social media knowledge discovery with machine learning techniques may help to recover from data scarcity challenges in a medical emergency like COVID-19 in developing countries.
2021 International Conference on Innovative Computing (ICIC), Nov 9, 2021
Cognitive radio innovation could be able to alleviate the limitation of accessible radio spectrum... more Cognitive radio innovation could be able to alleviate the limitation of accessible radio spectrum by facilitating dynamic spectrum access. Analysts have indeed been focusing on empowering this innovative idea in dealing with the wireless spectrum since its presentation. As a result, rapid progress has been made in this sector of exploration. Reviews and instructional exercise papers are absolutely necessary to keep analysts up to speed with these advancements. As a result, we wanted to take a deeper look at the most emerging technologies in sensing of spectrum, from their origins to their present state and history, in this research. We also discuss the advantages and disadvantages of both wideband and narrowband sensing of spectrum techniques, including the implementation challenges. The primary genuine usage of cognitive radio is also discussed in this study as television blank zones. Finally, but certainly not least, we examine at anticipated assessment directions. This study paper was written to help young scientists in the area understand the fundamentals of compressive sensing, spectrum sensing, and artificial intelligence (AI), which are all inspiring for future research and application, as well as to assist analysts in promoting the usefulness of spectrum sensing.
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)
In this article, an ultra-wideband antenna has been presented for medical applications which have... more In this article, an ultra-wideband antenna has been presented for medical applications which have a resonant frequency of 10.35GHz and offers a bandwidth of 1400MHz with a return loss of-19db. The presented antenna is low-cost lightweight and can easily be integrated inside the circuit. As this antenna is designed for medical applications its size is compact and is fed utilizing a coaxial feeding technique which is especially plentiful for operative radiotherapy applications. The designed antenna is rectangular and covers an overall size of 24x12mm with a thickness of 1mm. The proposed antenna is designed using CST studio as a simulation tool, the extracted results of important parameters like return loss, surface current, reference impedance, and far-field have achieved remarkable results which are illustrated in the article. which makes it suitable for radiotherapy. A high epsilon valued ε r = 4.8, tan δ = 0.02 substrate GT-008 has been employed as a dielectric material whereas copper is being used for the ground and radiating patches. The performance of the antenna in the X-band is satisfactory which makes it suitable for radiotherapy.
Social media is a barometer to anticipate sentiment of the public about the state of affairs and ... more Social media is a barometer to anticipate sentiment of the public about the state of affairs and ongoing pandemic engaged an additional user base who are confined to their stations. COVID-19 startled the world and the crisis exacerbates in the absence of sufficient data for policy making. The data from social media and a timely analysis can provide sufficient statistics for decision-making. This study explores Twitter data to discover knowledgeable statistics on public sentiments about COVID-19 vaccination in developing countries. The study inspects data collected from two extremely populated developing countries: India and Pakistan. Support Vector Machine (SVM) classifier achieves 74.3% accuracy on the manually labeled dataset. Furthermore, the sentiment analysis is correlated with other indigenous factors like regional literacy rate and COVID-19 calamities in the time interval. It is observed that the negative to positive sentiments correlates with a lower to higher regional liter...
VFAST transactions on software engineering, Jan 13, 2015
Software development process is dynamic in nature and it has contrasting impact on software devel... more Software development process is dynamic in nature and it has contrasting impact on software development based on Return on Investment (ROI). It plays an important role in successful software development and can also create difficulties during the software construction in terms of increasing effort, schedule and cost. Factors of changing requirements, prediction of requirement change and the strategies to deal with them are needed to be analyzed for better management of requirement change. Regardless of all research efforts based on requirement change, there is still a need to analyze the factors of requirement change from industrial evidences to minimize its negative impact on software development. The aim of study is to highlight main and sub causes of requirement change that can disrupt software development process.
2021 International Conference on Innovative Computing (ICIC), 2021
Cognitive radio innovation could be able to alleviate the limitation of accessible radio spectrum... more Cognitive radio innovation could be able to alleviate the limitation of accessible radio spectrum by facilitating dynamic spectrum access. Analysts have indeed been focusing on empowering this innovative idea in dealing with the wireless spectrum since its presentation. As a result, rapid progress has been made in this sector of exploration. Reviews and instructional exercise papers are absolutely necessary to keep analysts up to speed with these advancements. As a result, we wanted to take a deeper look at the most emerging technologies in sensing of spectrum, from their origins to their present state and history, in this research. We also discuss the advantages and disadvantages of both wideband and narrowband sensing of spectrum techniques, including the implementation challenges. The primary genuine usage of cognitive radio is also discussed in this study as television blank zones. Finally, but certainly not least, we examine at anticipated assessment directions. This study paper was written to help young scientists in the area understand the fundamentals of compressive sensing, spectrum sensing, and artificial intelligence (AI), which are all inspiring for future research and application, as well as to assist analysts in promoting the usefulness of spectrum sensing.
2021 International Conference on Innovative Computing (ICIC), 2021
Software Requirement Engineering (RE) has been considered as the most significant part of softwar... more Software Requirement Engineering (RE) has been considered as the most significant part of software development life cycle (SDLC). It impacts the overall project progress and quality of the final product. Spending insufficient amount of time and effort in requirement engineering phase can increase the cost of errors in next phases of SDLC. Many approaches and techniques have been proposed by researchers so far, but all of them have not been practiced very widely in the industry. In order to further refine and improve requirement engineering process, problems faced in contemporary practice needs to be understood. General objective of this research is to identify and analyze requirement engineering practices in Pakistani Software Industry. Survey is used to gather data from local software industry. The analysis presents how frequently a particular type of RE practice is being used by local industry experts. The ultimate goal is to suggest best practices in requirement engineering and give recommendations to upcoming researchers regarding methods and techniques in this research area.
2021 International Conference on Innovative Computing (ICIC), 2021
developing countries are generally faced with several problems due to which their economy is most... more developing countries are generally faced with several problems due to which their economy is mostly at stake. Long term opportunities can play a vital role in increasing investments. CPEC is a great initiative taken by Pakistan and China for improving interest of investors for participation. This paper discusses timeline of CPEC project. Previous and ongoing projects are both discussed in the paper. The paper recommends to use Chinese social media for CPEC project. There is a breakthrough of different social media platforms in CPEC which is the main focus of this paper. A video bearer model is developed by the authors to make YouTube videos accessible for VKontakte (Vk) users which can give awareness to users about Chinese market trends related to CPEC. The paper is attractive for entrepreneurs who are interested in CPEC. Self-observance is used for getting results from different websites and some results are derived from vidIQ tool. This research is beneficial to entrepreneurs interested in investment and it is useful for providing consultancy to investors. Also, in the paper authors have observed the expected barriers..
Given the growth of scientific literature on the web, particularly material science, acquiring da... more Given the growth of scientific literature on the web, particularly material science, acquiring data precisely from the literature has become more significant. Material information systems, or chemical information systems, play an essential role in discovering data, materials, or synthesis processes using the existing scientific literature. Processing and understanding the natural language of scientific literature is the backbone of these systems, which depend heavily on appropriate textual content. Appropriate textual content means a complete, meaningful sentence from a large chunk of textual content. The process of detecting the beginning and end of a sentence and extracting them as correct sentences is called sentence boundary extraction. The accurate extraction of sentence boundaries from PDF documents is essential for readability and natural language processing. Therefore, this study provides a comparative analysis of different tools for extracting PDF documents into text, which...
Software development process is dynamic in nature and it has contrasting impact on software devel... more Software development process is dynamic in nature and it has contrasting impact on software development based on Return on Investment (ROI). It plays an important role in successful software development and can also create difficulties during the software construction in terms of increasing effort, schedule and cost. Factors of changing requirements, prediction of requirement change and the strategies to deal with them are needed to be analyzed for better management of requirement change. Regardless of all research efforts based on requirement change, there is still a need to analyze the factors of requirement change from industrial evidences to minimize its negative impact on software development. The aim of study is to highlight main and sub causes of requirement change that can disrupt software development process.
Numerous P2P networks are available covering different areas of P2P technologies. Since P2P netwo... more Numerous P2P networks are available covering different areas of P2P technologies. Since P2P network overlays are good for creating large scale content distribution and data sharing applications, an ample amount of effort has been made to improve the performance of these networks. Moreover, rapid development of P2P technologies has left older technologies far behind. The goal of this paper is to study and present a comprehensive overview of some of these networks. Furthermore, a comparison of Unstructured P2P file sharing wired networks with their distinct characteristics has been presented. In this paper, various features of P2P networks have been studied that results in understanding the behavior of these protocols under different circumstances. A critical analysis of the state of art P2P networks has been made taking care of various significant features for both wired. The analysis presents the effectiveness of different systems in different circumstances. This research aims to pr...
2021 4th International Conference on Data Science and Information Technology
Reverse Engineering on image contours plays a significant role in data reduction, transformation ... more Reverse Engineering on image contours plays a significant role in data reduction, transformation and deformation of shapes without the loss of reasonable quality. The mathematical basis of captured contours are used in various applied areas such as facial modeling, animations, real time image processing applications, automatic sketching, shape matching, capturing hand drawn images and designing civil engineering, bio-medical and mechanical engineering objects etc. The authors do hope that this article can effectively provides algorithmic review for approximating outlines of planar images. Furthermore, it offers a sound analysis of pros and cons of specified techniques. It also delivers enhancements and optimizations via exploring the weaknesses of existing algorithms and attacking them through hybrid solutions.
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Papers by Ateeqa Naseer