Pub Date : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007169
Naseer Ahmed, Noman Khan, Tanveer Abbas
Small-sized tokamaks use capacitor banks as pulsed power sources. These capacitor banks are charged at high voltages repeatedly. The requirement of the pulse power source is that it should be regulated and available for repeated operation in a couple of minutes. The work aims at the indigenous development of such a system that in addition to meeting these requirements should also be compact and cost-effective. Capacitor diode voltage multipliers (CDVM) offer cost-effective and compact solutions however they suffer from high internal voltage drops and are not suited for the generation of high voltages at low frequencies. This paper presents a comparative analysis and evaluation of capacitor diode voltage multipliers topologies in simulations. An inverter-fed CWVM is proposed to overcome these limitations, the proposed design is evaluated in simulations using real values of the circuit components. Moreover, its hardware is developed and tested in Lab. The developed system successfully generates the required output voltage of 10kV. This setup will be used to charge the load capacitors that will meet the requirements of the pulsed power source for tokamak.
{"title":"An Inverter-Fed Cockcroft-Walton Multiplier Based High Voltage DC Source for Tokamak","authors":"Naseer Ahmed, Noman Khan, Tanveer Abbas","doi":"10.1109/ETECTE55893.2022.10007169","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007169","url":null,"abstract":"Small-sized tokamaks use capacitor banks as pulsed power sources. These capacitor banks are charged at high voltages repeatedly. The requirement of the pulse power source is that it should be regulated and available for repeated operation in a couple of minutes. The work aims at the indigenous development of such a system that in addition to meeting these requirements should also be compact and cost-effective. Capacitor diode voltage multipliers (CDVM) offer cost-effective and compact solutions however they suffer from high internal voltage drops and are not suited for the generation of high voltages at low frequencies. This paper presents a comparative analysis and evaluation of capacitor diode voltage multipliers topologies in simulations. An inverter-fed CWVM is proposed to overcome these limitations, the proposed design is evaluated in simulations using real values of the circuit components. Moreover, its hardware is developed and tested in Lab. The developed system successfully generates the required output voltage of 10kV. This setup will be used to charge the load capacitors that will meet the requirements of the pulsed power source for tokamak.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125939246","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007188
Sikandar Ali
Food security is a serious problem for every developed or underdeveloped country and water is a key component of it. This is the modern era of technology but unfortunately, even today we are still using traditional methods for irrigation. Agriculture uses almost 80% to 85% of drinkable water for cultivation purposes. The ratio of water consumption will continue to rise as the world population is increasing. To meet up those demands and efficiently use the resources drip irrigation has been proposed in this research work, which irrigates directly to the roots of plants and safe water from getting wasted in the watercourse. To control irrigation, a fuzzy logic-based system has been developed. The proposed system monitors agricultural parameters like temperature, level of nutrients, and soil moisture to control irrigation. The system continuously monitors the agricultural parameters and controls the water pump accordingly. The simulation has been done using MATLAB which is based on fuzzy rules. The usage of such an automatic system can not only save water but also reduces workforce, power consumption, etc. It also increases productivity as it can provide the exact amount of water and nutrient directly to the plants.
{"title":"Parametric Estimation and Optimization of Automatic Drip Irrigation Control System using Fuzzy Logic","authors":"Sikandar Ali","doi":"10.1109/ETECTE55893.2022.10007188","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007188","url":null,"abstract":"Food security is a serious problem for every developed or underdeveloped country and water is a key component of it. This is the modern era of technology but unfortunately, even today we are still using traditional methods for irrigation. Agriculture uses almost 80% to 85% of drinkable water for cultivation purposes. The ratio of water consumption will continue to rise as the world population is increasing. To meet up those demands and efficiently use the resources drip irrigation has been proposed in this research work, which irrigates directly to the roots of plants and safe water from getting wasted in the watercourse. To control irrigation, a fuzzy logic-based system has been developed. The proposed system monitors agricultural parameters like temperature, level of nutrients, and soil moisture to control irrigation. The system continuously monitors the agricultural parameters and controls the water pump accordingly. The simulation has been done using MATLAB which is based on fuzzy rules. The usage of such an automatic system can not only save water but also reduces workforce, power consumption, etc. It also increases productivity as it can provide the exact amount of water and nutrient directly to the plants.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128774525","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007357
Tiandong Xi, S. Kehne, M. Fey, C. Brecher
Synchronous reluctance machines (SynRM) are characterized by high efficiency in compared to asynchronous machines. Meanwhile, the rotor position is synchronized with the rotating magnet field, which theoretically makes it well suited for precise positioning tasks, such as for feed drive axes in machine tools. However, some of its inherent drawbacks, mainly the high torque ripple and saturation characteristic have so far limited its use on machine tools. This article experimentally investigates the application of SynRM for feed drive axes of machine tools, which require high speed and high accuracy positioning ability. In order to overcome the disadvantages of the SynRM, the conventional cascaded control loop in feed drive axis is modified by means of gain scheduling and feed forward control. The control performance is evaluated by different criteria in time and frequency domain. The comparison with a machine tool demonstrates that satisfactory result can be achieved by the proposed control schema for SynRM.
{"title":"Investigation of Synchronous Reluctance Machines for Feed Drive Axes in Machine Tools","authors":"Tiandong Xi, S. Kehne, M. Fey, C. Brecher","doi":"10.1109/ETECTE55893.2022.10007357","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007357","url":null,"abstract":"Synchronous reluctance machines (SynRM) are characterized by high efficiency in compared to asynchronous machines. Meanwhile, the rotor position is synchronized with the rotating magnet field, which theoretically makes it well suited for precise positioning tasks, such as for feed drive axes in machine tools. However, some of its inherent drawbacks, mainly the high torque ripple and saturation characteristic have so far limited its use on machine tools. This article experimentally investigates the application of SynRM for feed drive axes of machine tools, which require high speed and high accuracy positioning ability. In order to overcome the disadvantages of the SynRM, the conventional cascaded control loop in feed drive axis is modified by means of gain scheduling and feed forward control. The control performance is evaluated by different criteria in time and frequency domain. The comparison with a machine tool demonstrates that satisfactory result can be achieved by the proposed control schema for SynRM.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128777419","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007165
Farman-ullah Jan, R. Badar
The main objective of this research is to use a Flexible AC Transmission System (FACTS) controller to increase the stability of AC grid. Power system stability is a major concern for reliable and secure operation of the system. FACTS controllers are mainly used for voltage regulation and power flow control; however, they can be very effective for power stability when equipped with efficiently designed auxiliary control. In this work, an artificial intelligence approach based on NeuroFuzzy Hermite wavelet based direct adaptive control has been used as an auxiliary controller for shunt-type FACTS controller. The performance of the proposed controller has been checked using Single Machine Infinite Bus and IEEE 9 BUS multimachine systems installed with a Static Synchronous Compensator (STATCOM), a shunt-type FACTS controller. Finally, the comparative evaluation of the proposed controller has been made in terms of local and inter-area modes of oscillations using nonlinear time domain simulations for different faults and operating conditions.
{"title":"Wavelet NeuroFuzzy based STATCOM Control","authors":"Farman-ullah Jan, R. Badar","doi":"10.1109/ETECTE55893.2022.10007165","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007165","url":null,"abstract":"The main objective of this research is to use a Flexible AC Transmission System (FACTS) controller to increase the stability of AC grid. Power system stability is a major concern for reliable and secure operation of the system. FACTS controllers are mainly used for voltage regulation and power flow control; however, they can be very effective for power stability when equipped with efficiently designed auxiliary control. In this work, an artificial intelligence approach based on NeuroFuzzy Hermite wavelet based direct adaptive control has been used as an auxiliary controller for shunt-type FACTS controller. The performance of the proposed controller has been checked using Single Machine Infinite Bus and IEEE 9 BUS multimachine systems installed with a Static Synchronous Compensator (STATCOM), a shunt-type FACTS controller. Finally, the comparative evaluation of the proposed controller has been made in terms of local and inter-area modes of oscillations using nonlinear time domain simulations for different faults and operating conditions.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129706284","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}
The advancement in technology has resulted in expansion in the volume of online text documents. It is interesting to note that in the previous two years alone, more electronic data has been created than ever before by the entire human species. As a result, it is now essential to accurately classify this data according to their content, which also helps in further processing and the extraction of valuable features. Text based document classification is one of the very important problems in Natural Language Processing (NLP). Manual document classification techniques rely heavily on human power to examine and label documents based on their content. Whereas, traditional Machine Learning (ML) based algorithms require manual feature extraction prior to classification which requires choosing the best algorithm to extract handcrafted features. Both these strategies are not only time-consuming but also prone to error, and require choosing the best available algorithms. On the other hand, Deep Learning (DL) based algorithms do not require human intervention as they perform deep feature extraction and classification automatically with much better performance than the traditional ML based frameworks. In this paper, we present a completely automated and robust document classification method to classify online digital documents using DL based methods i.e. BERT and RoBERTa. The proposed technique achieved highest accuracy of 98.9% and can be deployed to classify digital text documents with a high performance.
{"title":"Text Document Classification Using Deep Learning Techniques","authors":"Safia Rehman, Aun Irtaza, Marriam Nawaz, Hareem Kibriya","doi":"10.1109/ETECTE55893.2022.10007316","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007316","url":null,"abstract":"The advancement in technology has resulted in expansion in the volume of online text documents. It is interesting to note that in the previous two years alone, more electronic data has been created than ever before by the entire human species. As a result, it is now essential to accurately classify this data according to their content, which also helps in further processing and the extraction of valuable features. Text based document classification is one of the very important problems in Natural Language Processing (NLP). Manual document classification techniques rely heavily on human power to examine and label documents based on their content. Whereas, traditional Machine Learning (ML) based algorithms require manual feature extraction prior to classification which requires choosing the best algorithm to extract handcrafted features. Both these strategies are not only time-consuming but also prone to error, and require choosing the best available algorithms. On the other hand, Deep Learning (DL) based algorithms do not require human intervention as they perform deep feature extraction and classification automatically with much better performance than the traditional ML based frameworks. In this paper, we present a completely automated and robust document classification method to classify online digital documents using DL based methods i.e. BERT and RoBERTa. The proposed technique achieved highest accuracy of 98.9% and can be deployed to classify digital text documents with a high performance.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131078245","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007346
Muhammad Umer, Saad Dilshad, Ayaz Akbar, N. Abas
Growing population, economic and energy crises quest for alternative ways to achieve the daily energy requirements in household and commercial sectors. Solar energy is the first choice due to its accessibility, abundance and environmentally friendly nature. The use of solar thermal collectors is increasing over time due to the green aspects of solar thermal energy. In this study, a dynamic method based on Transient Systems Simulation Program (TRNSYS) modeling examines the performance of solar thermal-based domestic hot water (DHW) system for Lahore (31.5204° N, 74.3587° E), Pakistan. This dynamic approach allowed us to monitor system performance daily and yearly. The simulation is performed with a flat plate solar collector of an area of 10 m2and a tank of 0.6 m3 volume. To achieve the daily DHW consumption profile of an average dwelling in Lahore, an auxiliary electric heater is employed to manage the hot water needs at night and on overcast days. The average solar fraction of 80% is obtained for the whole year. The system fulfills hot water requirements during the winter season with the assistance of solar energy equipped with auxiliary heating. Maximum values of auxiliary energy were observed in January (1347 J/hr) and December (1248 J/hr), with lower values of solar fraction during winter.
{"title":"Simulation Analysis of Solar Thermal Water Heating System for Climate of Lahore","authors":"Muhammad Umer, Saad Dilshad, Ayaz Akbar, N. Abas","doi":"10.1109/ETECTE55893.2022.10007346","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007346","url":null,"abstract":"Growing population, economic and energy crises quest for alternative ways to achieve the daily energy requirements in household and commercial sectors. Solar energy is the first choice due to its accessibility, abundance and environmentally friendly nature. The use of solar thermal collectors is increasing over time due to the green aspects of solar thermal energy. In this study, a dynamic method based on Transient Systems Simulation Program (TRNSYS) modeling examines the performance of solar thermal-based domestic hot water (DHW) system for Lahore (31.5204° N, 74.3587° E), Pakistan. This dynamic approach allowed us to monitor system performance daily and yearly. The simulation is performed with a flat plate solar collector of an area of 10 m2and a tank of 0.6 m3 volume. To achieve the daily DHW consumption profile of an average dwelling in Lahore, an auxiliary electric heater is employed to manage the hot water needs at night and on overcast days. The average solar fraction of 80% is obtained for the whole year. The system fulfills hot water requirements during the winter season with the assistance of solar energy equipped with auxiliary heating. Maximum values of auxiliary energy were observed in January (1347 J/hr) and December (1248 J/hr), with lower values of solar fraction during winter.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"25 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130653671","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007343
Muhammad Ahmad Khan, M. Yousaf, M. F. Tahir, Abdullah Qadoos, Mazhar Ali, Ahmad Raza
In any power network, data perform a very critical role in the operation, management, and regulations of power systems. However, most of the data contain anomalies, which may have an impact on the outcomes of data-driven applications. Therefore, to avoid problems during operations it is very important to detect these outliers and remove them from the data. This research investigates the anomalies cleaning approach for measuring data in the distribution system in order to enhance data quality. This approach includes a set of association rule (AR) that are built automatically using past measuring data. This study demonstrates a data-mining approach based on a mix of density-based spatial clustering of applications with noise (DBSCAN) clustering and auto-generated association rules using historical data. Following that, a novel cost function based on Mahalanobis distance is developed and used for data restoration; this function describes the similarity between different data points. Finally, simulation results show that the suggested model outperforms existing detection and repair strategies. The evaluation section of this research demonstrates that as the number of historical data increases, so does the resilience of the suggested method.
{"title":"Outliers Detection and Repairing Technique for Measurement Data in the Distribution System","authors":"Muhammad Ahmad Khan, M. Yousaf, M. F. Tahir, Abdullah Qadoos, Mazhar Ali, Ahmad Raza","doi":"10.1109/ETECTE55893.2022.10007343","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007343","url":null,"abstract":"In any power network, data perform a very critical role in the operation, management, and regulations of power systems. However, most of the data contain anomalies, which may have an impact on the outcomes of data-driven applications. Therefore, to avoid problems during operations it is very important to detect these outliers and remove them from the data. This research investigates the anomalies cleaning approach for measuring data in the distribution system in order to enhance data quality. This approach includes a set of association rule (AR) that are built automatically using past measuring data. This study demonstrates a data-mining approach based on a mix of density-based spatial clustering of applications with noise (DBSCAN) clustering and auto-generated association rules using historical data. Following that, a novel cost function based on Mahalanobis distance is developed and used for data restoration; this function describes the similarity between different data points. Finally, simulation results show that the suggested model outperforms existing detection and repair strategies. The evaluation section of this research demonstrates that as the number of historical data increases, so does the resilience of the suggested method.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115658000","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007103
Muhammad Akmal, Sohail Khalid, Mehwish Moiz, Muhammad Jamshed Abbass, Muhammad Farrukh Qureshi, Zohaib Mushtaq
It is essential to have an improved classification accuracy of target hand movements for the electronic prosthesis in order to work efficiently. As a result, twelve different artificial neural networks (ANN) training strategies have been analyzed, and their performances have been compared to discover the optimal training approach for Electromyography (EMG) signals. The proposed framework was also tested on multiday EMG data to assess its scalability performance. A Wearable MYO wristband is used to collect EMG data from eight participants. The experimental results demonstrate that resilient backpropagation can achieve a classification accuracy of 95%; however, it takes 24 seconds to execute and has a hidden layer size (HLS) of 16. Scaled conjugate gradient, on the other hand, obtained 87% classification accuracy with a 3-second execution time and an HLS of 8.
{"title":"Leveraging Training Strategies of Artificial Neural Network for Classification of Multiday Electromyography Signals","authors":"Muhammad Akmal, Sohail Khalid, Mehwish Moiz, Muhammad Jamshed Abbass, Muhammad Farrukh Qureshi, Zohaib Mushtaq","doi":"10.1109/ETECTE55893.2022.10007103","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007103","url":null,"abstract":"It is essential to have an improved classification accuracy of target hand movements for the electronic prosthesis in order to work efficiently. As a result, twelve different artificial neural networks (ANN) training strategies have been analyzed, and their performances have been compared to discover the optimal training approach for Electromyography (EMG) signals. The proposed framework was also tested on multiday EMG data to assess its scalability performance. A Wearable MYO wristband is used to collect EMG data from eight participants. The experimental results demonstrate that resilient backpropagation can achieve a classification accuracy of 95%; however, it takes 24 seconds to execute and has a hidden layer size (HLS) of 16. Scaled conjugate gradient, on the other hand, obtained 87% classification accuracy with a 3-second execution time and an HLS of 8.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122647303","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007161
Sameen Fatima, Y. Saleem, Shafiq Hussain, Badar ul Din, W. Sajjad, Nimra Shahzadi
The field of cloud computing is constantly growing. Users can use cloud to access the resources of the computer system without directly maintaining them. In order to deal with current security and privacy issues, this research main objective is to provide a data security model based which is based on hybrid encryption and steganography. A multi stage data security model is used which is based on Rivest-Shamir-Adleman (RSA), identity-based encryption (IBE), Advanced Encryption Standard (AES), and Least Significant Bit steganography (LSB). The four phases includes data sharing, data backup and recovery, steganography, and data encryption to protect and secure data. By defending data integrity, confidentiality, and privacy from intruders, this method increases data redundancy on cloud, flexibility of cloud, efficiency, and security of cloud.
{"title":"A Multi-Layer Data Security Model in Cloud","authors":"Sameen Fatima, Y. Saleem, Shafiq Hussain, Badar ul Din, W. Sajjad, Nimra Shahzadi","doi":"10.1109/ETECTE55893.2022.10007161","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007161","url":null,"abstract":"The field of cloud computing is constantly growing. Users can use cloud to access the resources of the computer system without directly maintaining them. In order to deal with current security and privacy issues, this research main objective is to provide a data security model based which is based on hybrid encryption and steganography. A multi stage data security model is used which is based on Rivest-Shamir-Adleman (RSA), identity-based encryption (IBE), Advanced Encryption Standard (AES), and Least Significant Bit steganography (LSB). The four phases includes data sharing, data backup and recovery, steganography, and data encryption to protect and secure data. By defending data integrity, confidentiality, and privacy from intruders, this method increases data redundancy on cloud, flexibility of cloud, efficiency, and security of cloud.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129923572","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007112
Talha Yamin Satti, Muhammad Shujjah, S. Z. Farooq
Global Navigation Satellite Systems (GNSS) are used for providing all weather positioning and navigation solution to users across the world. The premier GNSS constellation, United States' Global Positioning System (GPS) was fully functional by 1993. With the configuration of GPS L1 C/A Navigation message (LNAV) readily available, most of the applications rely on the GPS. However, the well-known documentation has also led to the signal being vulnerable to spoofing and jamming attacks. Chinese BeiDou BDS-3 provides global coverage over the Asia Pacific region with additional security features embedded in civil signals deeming it suitable to be used as an alternative positioning scheme. This research paper discusses the alteration of GPS Easy Suite for positioning using BDS-3 B1I measurements. Data is collected through a survey-grade receiver and positioning accuracy for BDS-3 is compared with GPS. It is noted that BDS-3 B1I provides higher positioning accuracy than GPS LNAV signals manifesting itself as a better alternative if not the sole solution provider for single frequency GNSS users.
{"title":"Single Point Positioning using BeiDou BDS-3 Constellation","authors":"Talha Yamin Satti, Muhammad Shujjah, S. Z. Farooq","doi":"10.1109/ETECTE55893.2022.10007112","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007112","url":null,"abstract":"Global Navigation Satellite Systems (GNSS) are used for providing all weather positioning and navigation solution to users across the world. The premier GNSS constellation, United States' Global Positioning System (GPS) was fully functional by 1993. With the configuration of GPS L1 C/A Navigation message (LNAV) readily available, most of the applications rely on the GPS. However, the well-known documentation has also led to the signal being vulnerable to spoofing and jamming attacks. Chinese BeiDou BDS-3 provides global coverage over the Asia Pacific region with additional security features embedded in civil signals deeming it suitable to be used as an alternative positioning scheme. This research paper discusses the alteration of GPS Easy Suite for positioning using BDS-3 B1I measurements. Data is collected through a survey-grade receiver and positioning accuracy for BDS-3 is compared with GPS. It is noted that BDS-3 B1I provides higher positioning accuracy than GPS LNAV signals manifesting itself as a better alternative if not the sole solution provider for single frequency GNSS users.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125370464","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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