Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074146
M. A. Jatoi, N. Kamel, Sadam Hussain Teevino
Brain source localization is a growing field of research in neuroscience as it has diversified applications for diagnosing of various brain disorders. It encompasses 2segments: forward problem and inverse problem. Various numerical techniques such as finite element method (FEM) and Boundary element method (BEM) are used for head modelling to solve forward problem. However, the inverse problem is evaluated utilizing optimization techniques which include minimum norm estimation (MNE), low resolution brain electromagnetic tomography (LORETA) and Bayesian framework based multiple sparse priors (MSP). This research work uses EEG signals for localizing active sources of brain. EEG data is generated at SNR value of -5dB synthetically. Thus, BEM is used for forward modelling and classical MNE, LORETA and MSP are used for inverse problem. However, novel concept of increasing number of patches to improve localization accuracy is implemented within Bayesian framework. Hence, this technique is termed as modified MSP (M-MSP). Thus, the data is subjected to multiple trials to validate results statistically. The trends are plotted between various parameters of localization. According to results, MMSP has improved accuracy related to free energy and localization error.
{"title":"Trend Analysis for Brain Source Localization Techniques Using EEG Signals","authors":"M. A. Jatoi, N. Kamel, Sadam Hussain Teevino","doi":"10.1109/iCoMET48670.2020.9074146","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074146","url":null,"abstract":"Brain source localization is a growing field of research in neuroscience as it has diversified applications for diagnosing of various brain disorders. It encompasses 2segments: forward problem and inverse problem. Various numerical techniques such as finite element method (FEM) and Boundary element method (BEM) are used for head modelling to solve forward problem. However, the inverse problem is evaluated utilizing optimization techniques which include minimum norm estimation (MNE), low resolution brain electromagnetic tomography (LORETA) and Bayesian framework based multiple sparse priors (MSP). This research work uses EEG signals for localizing active sources of brain. EEG data is generated at SNR value of -5dB synthetically. Thus, BEM is used for forward modelling and classical MNE, LORETA and MSP are used for inverse problem. However, novel concept of increasing number of patches to improve localization accuracy is implemented within Bayesian framework. Hence, this technique is termed as modified MSP (M-MSP). Thus, the data is subjected to multiple trials to validate results statistically. The trends are plotted between various parameters of localization. According to results, MMSP has improved accuracy related to free energy and localization error.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121132191","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073918
Liu Dunnan, Rana Faizan Gul, N. R. Jaffri, Abdul Rauf, Fazal Hussain Awan, Nouman Ahmed
Fire fighting started in Pakistan electrical generation industry in Mid 2000s. There was a huge difference between supply and demand of Pakistan electrical power generation at that time. Government lacking resources to meet consumer’s electrical energy demands open room for independent power producers (IPPs). Thirty one out of thirty six IPPs operating in the country till date are generating electricity using thermal power technologies. These power plants generate a lot of environmental pollution. This led toward serious cooperate social responsibility (CSR) issues. The connection between CSR and the value of a business has inquired upon, but a formidable difference between researches is still present if we take into account the mutual relation between innovation and CSR. This article inquires its association with collective innovation and stable production in one collective model by using the study of retrogression on compiled data that has arranged from different companies in Pakistan that produce electricity and energy. As a consequence،, we found a somewhat mediatory link between the product of creativity and the mutual relation between CSR and firm executions. The results show the importance of CSR as an essential governing mechanism for firms to be more creative, cost-effective and user-friendly.
{"title":"Independent Power Producer (IPPs) of Pakistan and CSR to Enhance Performance","authors":"Liu Dunnan, Rana Faizan Gul, N. R. Jaffri, Abdul Rauf, Fazal Hussain Awan, Nouman Ahmed","doi":"10.1109/iCoMET48670.2020.9073918","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073918","url":null,"abstract":"Fire fighting started in Pakistan electrical generation industry in Mid 2000s. There was a huge difference between supply and demand of Pakistan electrical power generation at that time. Government lacking resources to meet consumer’s electrical energy demands open room for independent power producers (IPPs). Thirty one out of thirty six IPPs operating in the country till date are generating electricity using thermal power technologies. These power plants generate a lot of environmental pollution. This led toward serious cooperate social responsibility (CSR) issues. The connection between CSR and the value of a business has inquired upon, but a formidable difference between researches is still present if we take into account the mutual relation between innovation and CSR. This article inquires its association with collective innovation and stable production in one collective model by using the study of retrogression on compiled data that has arranged from different companies in Pakistan that produce electricity and energy. As a consequence،, we found a somewhat mediatory link between the product of creativity and the mutual relation between CSR and firm executions. The results show the importance of CSR as an essential governing mechanism for firms to be more creative, cost-effective and user-friendly.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127196107","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073879
Z. Bhatti, Maymoona Bibi, Naila Shabbir
Augmented reality is a visual technology which combines virtual objects into the real environment, in real time. In this research work, a heuristic model of multimedia learning would be developed using Augmented Reality for a type of neurological disorder known as Dyslexia. Dyslexia is complex mental brain related syndromes, affecting the children in various ways including verbal and nonverbal communications, social interactions, understanding instructions, reading, writing, learning, problems, etc. The use of interactive Augmented Reality based multimedia application to facilitate and provide pedagogy for such type of special children would ascertain a unique and new dimension of treating and helping such young hearts in overcoming their disabilities in a very fun and easy way. The research encompasses designing a framework based on cognitive learning for interactive multimedia learning app using augmented reality technology, that would be centric to autism effected children’s and would enable them to interact with such system.
{"title":"Augmented Reality based Multimedia Learning for Dyslexic Children","authors":"Z. Bhatti, Maymoona Bibi, Naila Shabbir","doi":"10.1109/iCoMET48670.2020.9073879","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073879","url":null,"abstract":"Augmented reality is a visual technology which combines virtual objects into the real environment, in real time. In this research work, a heuristic model of multimedia learning would be developed using Augmented Reality for a type of neurological disorder known as Dyslexia. Dyslexia is complex mental brain related syndromes, affecting the children in various ways including verbal and nonverbal communications, social interactions, understanding instructions, reading, writing, learning, problems, etc. The use of interactive Augmented Reality based multimedia application to facilitate and provide pedagogy for such type of special children would ascertain a unique and new dimension of treating and helping such young hearts in overcoming their disabilities in a very fun and easy way. The research encompasses designing a framework based on cognitive learning for interactive multimedia learning app using augmented reality technology, that would be centric to autism effected children’s and would enable them to interact with such system.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125780888","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074086
A. Basit, Z. Ullah, I. Khan, K. Ullah, M. Sarwar, S. M. Ali, B. Khan, C. A. Mehmood
Electric Vehicles (EVs) evolution brought a revolutionary change in the domain of electric transformation. The development of EVs is growing day-by-day. The rapid growth in EV technology is diverting consumers from normal cars to electric vehicles. EV has become the need of the modern era. Fossil fuel reserves are depleting which results in inflation of fuel prices. The solution to this problem is to develop new technologies that are independent of fossil fuels. EVs are the answer to the massive increase in oil prices. Therefore, this paper presents two interactive modes of EVs, namely: (a) Grid- to-Vehicle (G2V) and (b) Vehicle-to-Grid (V2G) operational modes. Moreover, interactions of V2G and G2V are discussed with respect to SG dynamics and control. Finally, a case study of EVs operating in Wide Area Smart Grid System (WASGS) is presented in the context of (a) wide area system stability, (b) voltage control, and (c) active and reactive power management. The computer-based simulation of EVs is evaluated in three areas of the WASGS with distributed parking stations.
{"title":"Electric Vehicles Interactions for Efficient Energy Performance within Smart Grid","authors":"A. Basit, Z. Ullah, I. Khan, K. Ullah, M. Sarwar, S. M. Ali, B. Khan, C. A. Mehmood","doi":"10.1109/iCoMET48670.2020.9074086","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074086","url":null,"abstract":"Electric Vehicles (EVs) evolution brought a revolutionary change in the domain of electric transformation. The development of EVs is growing day-by-day. The rapid growth in EV technology is diverting consumers from normal cars to electric vehicles. EV has become the need of the modern era. Fossil fuel reserves are depleting which results in inflation of fuel prices. The solution to this problem is to develop new technologies that are independent of fossil fuels. EVs are the answer to the massive increase in oil prices. Therefore, this paper presents two interactive modes of EVs, namely: (a) Grid- to-Vehicle (G2V) and (b) Vehicle-to-Grid (V2G) operational modes. Moreover, interactions of V2G and G2V are discussed with respect to SG dynamics and control. Finally, a case study of EVs operating in Wide Area Smart Grid System (WASGS) is presented in the context of (a) wide area system stability, (b) voltage control, and (c) active and reactive power management. The computer-based simulation of EVs is evaluated in three areas of the WASGS with distributed parking stations.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116425756","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074084
Dunnan Liu, K. Jamil, Usama Abrar, Bilal Arain, G. Qin, Fazal Hussain Awan
In today’s world cleaner electricity production has become an important element for resource-efficient production because modern societies are more effecting with environmental changes. Climate changes are becoming more and more threatening for human. Now it is need to explore some environmentally friendly means of production and produce energy which can reduce damages for environment. This study represents a theoretical model for green tech companies working in Pakistan. Data was collected from managers of different green tech companies and it was found that there is huge potential for technology related to green production and green energy in Pakistan as the government and private sector never pay due attention to this sector. Results of this study are indicating that there is huge market space and potential of market in green energy sector of Pakistan which will help to attract other companies to invest in this sector which will help to develop clean and green environment. This study is limited up to the companies distributing solar plates in Pakistan so in future it can be extended to other means of green energy.
{"title":"Analyzing the Green Technology Market Focus on Environmental Performance in Pakistan","authors":"Dunnan Liu, K. Jamil, Usama Abrar, Bilal Arain, G. Qin, Fazal Hussain Awan","doi":"10.1109/iCoMET48670.2020.9074084","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074084","url":null,"abstract":"In today’s world cleaner electricity production has become an important element for resource-efficient production because modern societies are more effecting with environmental changes. Climate changes are becoming more and more threatening for human. Now it is need to explore some environmentally friendly means of production and produce energy which can reduce damages for environment. This study represents a theoretical model for green tech companies working in Pakistan. Data was collected from managers of different green tech companies and it was found that there is huge potential for technology related to green production and green energy in Pakistan as the government and private sector never pay due attention to this sector. Results of this study are indicating that there is huge market space and potential of market in green energy sector of Pakistan which will help to attract other companies to invest in this sector which will help to develop clean and green environment. This study is limited up to the companies distributing solar plates in Pakistan so in future it can be extended to other means of green energy.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116429913","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073825
Shahid Mahmood, Syed Muhammad Mohsin, Syed Muhammad Abrar Akber
There is a cardinal infrastructure of application software’s, protocols, and physical devices over different sort of wired and wireless networks, that need to communicate with each other, whether located not only on earth but also in the space. OSI seven-layers model has become an international standard to communicate securely and confidently among different kinds of the corporate networks while keeping the other OSI layers unfamiliar with the current layer of communication. This secrecy among the layers results in vulnerability to attack in a way that if one layer is compromised to attack, the other layers will not be able to detect it properly. This individuality of OSI layers makes the whole network severely vulnerable to attack particularly due to the data link layer as compared to other layers. Generally network security problems at layer 2 are not properly addressed as compared to other layers, rather the people focus on the device’s security for the whole management system instead. This paper encompasses network security problems faced due to lack of hardening the layer 2 and it also describes, how it makes a LAN or the system of networks more vulnerable to attacks, especially for the MAC flooding, ARP spoofing, VLAN hopping, DHCP attacks, Denial-of-Service (DoS) and Spanning Tree Protocol in a very concise manner.
{"title":"Network Security Issues of Data Link Layer: An Overview","authors":"Shahid Mahmood, Syed Muhammad Mohsin, Syed Muhammad Abrar Akber","doi":"10.1109/iCoMET48670.2020.9073825","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073825","url":null,"abstract":"There is a cardinal infrastructure of application software’s, protocols, and physical devices over different sort of wired and wireless networks, that need to communicate with each other, whether located not only on earth but also in the space. OSI seven-layers model has become an international standard to communicate securely and confidently among different kinds of the corporate networks while keeping the other OSI layers unfamiliar with the current layer of communication. This secrecy among the layers results in vulnerability to attack in a way that if one layer is compromised to attack, the other layers will not be able to detect it properly. This individuality of OSI layers makes the whole network severely vulnerable to attack particularly due to the data link layer as compared to other layers. Generally network security problems at layer 2 are not properly addressed as compared to other layers, rather the people focus on the device’s security for the whole management system instead. This paper encompasses network security problems faced due to lack of hardening the layer 2 and it also describes, how it makes a LAN or the system of networks more vulnerable to attacks, especially for the MAC flooding, ARP spoofing, VLAN hopping, DHCP attacks, Denial-of-Service (DoS) and Spanning Tree Protocol in a very concise manner.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122797406","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073911
Tanzeela Jameel, Rukhsana Ali, Iqra Toheed
Artificial Intelligence (AI) is a rapidly emerging paradigm with many applications in healthcare, industries, and smart cities. However, this rise of global interest in AI has fueled a renewed interest from the public sector and global policymakers. As AI networks (e.g., chatbots, automation systems, and helping agents) are paving their way as interactive household items, a critically important research issue is understanding the ethical impact of these autonomous agents. What is the explanation of the AI decision-making processƒ What are the legal, societal, and moral consequences of these decisions and actionsƒ Should these AI systems be allowed to make decisions for human beings and to what extentƒ These questions along with some of the underlying concerns are the main research focus of modern societies and institutions. Contrary to the popular and frightening dystopic image of AI, this article aims to present recent research developments on the ethics of AI. In particular, a concise and brief introduction to different AI techniques is provided which is followed by a detailed discussion on the ethics of AI and its influencing components. Since data is the key to improve AI algorithms, details on developing high-quality data are also given. Finally, some solutions to the ethical issues of AI are discussed. This article is expected to act as a fundamental building block and as a comprehensive survey for ethical solutions of AI systems.
{"title":"Ethics of Artificial Intelligence: Research Challenges and Potential Solutions","authors":"Tanzeela Jameel, Rukhsana Ali, Iqra Toheed","doi":"10.1109/iCoMET48670.2020.9073911","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073911","url":null,"abstract":"Artificial Intelligence (AI) is a rapidly emerging paradigm with many applications in healthcare, industries, and smart cities. However, this rise of global interest in AI has fueled a renewed interest from the public sector and global policymakers. As AI networks (e.g., chatbots, automation systems, and helping agents) are paving their way as interactive household items, a critically important research issue is understanding the ethical impact of these autonomous agents. What is the explanation of the AI decision-making processƒ What are the legal, societal, and moral consequences of these decisions and actionsƒ Should these AI systems be allowed to make decisions for human beings and to what extentƒ These questions along with some of the underlying concerns are the main research focus of modern societies and institutions. Contrary to the popular and frightening dystopic image of AI, this article aims to present recent research developments on the ethics of AI. In particular, a concise and brief introduction to different AI techniques is provided which is followed by a detailed discussion on the ethics of AI and its influencing components. Since data is the key to improve AI algorithms, details on developing high-quality data are also given. Finally, some solutions to the ethical issues of AI are discussed. This article is expected to act as a fundamental building block and as a comprehensive survey for ethical solutions of AI systems.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114482440","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073831
Mir Lodro, Chris Smart, G. Gradoni, A. Vukovic, David W. P. Thomas, S. Greedy
This paper presents software defined radio based implementation of Minimum Shift Keying (MSK) and Gaussian Minimum Shift Keying (GMSK) digital receiver. The performance of MSK receiver and GMSK receiver is assessed under practical multipath fading scenario in mode-stirred metal enclosure. Metal enclosure when stirred with pedal creates rich isotropic multipath fading environment. The isotropic field and the severity of fading can be reduced by placing radiation-absorbent material (RAM) in the metal enclosure. The effect of addition of number of absorbers is to reduce the number of scattered waves hence reduce isotropic field distribution in the enclosure. This effect has direct implication of increased Rician K-factor. The performance of MSK and GMSK receiver is analyzed when the metal enclosure was loaded with few pieces of RAM.
{"title":"SDR Based Implementation of MSK and GMSK Receiver in Rich Multipath Environment","authors":"Mir Lodro, Chris Smart, G. Gradoni, A. Vukovic, David W. P. Thomas, S. Greedy","doi":"10.1109/iCoMET48670.2020.9073831","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073831","url":null,"abstract":"This paper presents software defined radio based implementation of Minimum Shift Keying (MSK) and Gaussian Minimum Shift Keying (GMSK) digital receiver. The performance of MSK receiver and GMSK receiver is assessed under practical multipath fading scenario in mode-stirred metal enclosure. Metal enclosure when stirred with pedal creates rich isotropic multipath fading environment. The isotropic field and the severity of fading can be reduced by placing radiation-absorbent material (RAM) in the metal enclosure. The effect of addition of number of absorbers is to reduce the number of scattered waves hence reduce isotropic field distribution in the enclosure. This effect has direct implication of increased Rician K-factor. The performance of MSK and GMSK receiver is analyzed when the metal enclosure was loaded with few pieces of RAM.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114602616","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074103
I. Khan, K. Zeb, W. Uddin, M. Ishfaq, Saif ul Islam, Khadim Ullah Jan
Recently, grid stability and power generation are key issues. Due to the high penetration of wind power, grid faults recovery behaviors of a wind turbine have significant effect on power system stability. Grid voltage faults cause voltage fluctuations and harmonic current in DC-linked capacitor of Doubly Fed Induction Generator (DFIG) based Wind Turbines (WTs), which degrade the performance and reliability of capacitor in voltage source converters. However, robust controller is required to provide stable DC-linked voltage. In this paper Adaptive Proportional Integral (API) algorithm is proposed for Grid Side Converter (GSC) of DFIG based WTs which mitigate voltage fluctuations and harmonic current in DC-linked capacitor. Furthermore, it also enhances active and reactive power quality injected to the grid. For validation of the proposed control algorithm, MATLAB/Simulink simulation of 2MW DFIG model has been considered and results are compared with conventional used Proportional Integral (PI) controller. Total Harmonic Distortion (THD) further validate and analyze the effectiveness of proposed controller by comparing it with the conventional PI controller.
{"title":"Robust Control Design for DFIG based Wind Turbine under Voltage Sags","authors":"I. Khan, K. Zeb, W. Uddin, M. Ishfaq, Saif ul Islam, Khadim Ullah Jan","doi":"10.1109/iCoMET48670.2020.9074103","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074103","url":null,"abstract":"Recently, grid stability and power generation are key issues. Due to the high penetration of wind power, grid faults recovery behaviors of a wind turbine have significant effect on power system stability. Grid voltage faults cause voltage fluctuations and harmonic current in DC-linked capacitor of Doubly Fed Induction Generator (DFIG) based Wind Turbines (WTs), which degrade the performance and reliability of capacitor in voltage source converters. However, robust controller is required to provide stable DC-linked voltage. In this paper Adaptive Proportional Integral (API) algorithm is proposed for Grid Side Converter (GSC) of DFIG based WTs which mitigate voltage fluctuations and harmonic current in DC-linked capacitor. Furthermore, it also enhances active and reactive power quality injected to the grid. For validation of the proposed control algorithm, MATLAB/Simulink simulation of 2MW DFIG model has been considered and results are compared with conventional used Proportional Integral (PI) controller. Total Harmonic Distortion (THD) further validate and analyze the effectiveness of proposed controller by comparing it with the conventional PI controller.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117011961","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073795
S. K. Raza, Tabarka Rajab, Syed Jowaid Ahmed, M. Khurram
The landmark Recognition of any urban structure is a frustrating task to accomplish. This paper presents a deep learning based approach for recognition of the urban structures. Urban structures are basically the usual offices, houses, apartments etc. A generalized word for all these buildings can be urban structures. This classification problem was identified by our team while making our way into the visual positioning system, we saw that the visual landmark recognition of urban structures was an unexplored domain by using deep learning approaches. We also Identified that unlike the landmarks such as the Eiffel Tower, Statue Of Liberty etc, urban structures were difficult to learn by a neural network, the data requirements were quite distinct compared to the ones mentioned for all these famous landmarks around the globe. Most of all the landmark database was created, augmented, labelled and preprocessed in lab. The transfer learning based approaches were not that useful since the overall size of the model would always be so enormous and integration of a transfer learning based model would be meaningless for any deployed web app or even for a local mobile based app. By collecting and engineering our own data using a data collection app, we have proposed a neural architecture which can be configured to learn multiple number of urban landmarks while retaining its overall size under 60MBs. This was achieved by a Convolutional Neural Network based binary classification model trained on landmarks existing in our university. Later this was deployed on a web based application and further on it is being made into an app.
{"title":"Visual Landmarks Recognition of Urban Structures using Convolutional Neural Network","authors":"S. K. Raza, Tabarka Rajab, Syed Jowaid Ahmed, M. Khurram","doi":"10.1109/iCoMET48670.2020.9073795","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073795","url":null,"abstract":"The landmark Recognition of any urban structure is a frustrating task to accomplish. This paper presents a deep learning based approach for recognition of the urban structures. Urban structures are basically the usual offices, houses, apartments etc. A generalized word for all these buildings can be urban structures. This classification problem was identified by our team while making our way into the visual positioning system, we saw that the visual landmark recognition of urban structures was an unexplored domain by using deep learning approaches. We also Identified that unlike the landmarks such as the Eiffel Tower, Statue Of Liberty etc, urban structures were difficult to learn by a neural network, the data requirements were quite distinct compared to the ones mentioned for all these famous landmarks around the globe. Most of all the landmark database was created, augmented, labelled and preprocessed in lab. The transfer learning based approaches were not that useful since the overall size of the model would always be so enormous and integration of a transfer learning based model would be meaningless for any deployed web app or even for a local mobile based app. By collecting and engineering our own data using a data collection app, we have proposed a neural architecture which can be configured to learn multiple number of urban landmarks while retaining its overall size under 60MBs. This was achieved by a Convolutional Neural Network based binary classification model trained on landmarks existing in our university. Later this was deployed on a web based application and further on it is being made into an app.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128373112","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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