Pub Date : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069962
Shazma Ali, Muhammad Usman, Sana Saeed
The performance and efficiency of Indium Gallium Nitride (InGaN) yellow light-emitting diodes (LEDs) is improved by using graded-EBL (electron blocking layer) in the conventional LED structure. To improve the performance, radiative recombination must be enhanced by lowering electron leakage. EBL is designed and tailored to minimize electron leakage and, thus, increase the radiative recombination. This improves the overall optoelectronic properties of yellow LED. A simulation approach has been used to model this new structure and evaluate the results. Graded-EBL was designed and implemented in yellow LED and was evaluated for its performance using SiLENSeTM software. Simulated results concluded that the use of graded-EBL in the light-emitting diodes considerably raises the number of holes, which causes a 33% rise in the rate of radiative recombination. Additionally, the efficiency droop is considerably reduced from 57% to 50% in light-emitting diodes. As a result, the light-emitting diode with graded-EBL has better optoelectronic properties than conventional AlGaN-EBL. Internal quantum efficiency is increased by 17% in the suggested LED. This work illustrates high efficiency InGaN-based yellow LEDs with high radiative recombination and intensity by proposing a new structure of yellow LED consisting of graded-EBL.
{"title":"Enhancement of the optoelectronic performance of yellow light-emitting diodes","authors":"Shazma Ali, Muhammad Usman, Sana Saeed","doi":"10.1109/ICETECC56662.2022.10069962","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069962","url":null,"abstract":"The performance and efficiency of Indium Gallium Nitride (InGaN) yellow light-emitting diodes (LEDs) is improved by using graded-EBL (electron blocking layer) in the conventional LED structure. To improve the performance, radiative recombination must be enhanced by lowering electron leakage. EBL is designed and tailored to minimize electron leakage and, thus, increase the radiative recombination. This improves the overall optoelectronic properties of yellow LED. A simulation approach has been used to model this new structure and evaluate the results. Graded-EBL was designed and implemented in yellow LED and was evaluated for its performance using SiLENSeTM software. Simulated results concluded that the use of graded-EBL in the light-emitting diodes considerably raises the number of holes, which causes a 33% rise in the rate of radiative recombination. Additionally, the efficiency droop is considerably reduced from 57% to 50% in light-emitting diodes. As a result, the light-emitting diode with graded-EBL has better optoelectronic properties than conventional AlGaN-EBL. Internal quantum efficiency is increased by 17% in the suggested LED. This work illustrates high efficiency InGaN-based yellow LEDs with high radiative recombination and intensity by proposing a new structure of yellow LED consisting of graded-EBL.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127168577","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10068884
Mohammad Rohan, Shurjeel Ahmed, Mohammad Kaleem, S. Nazir
Cloud computing is the delivery of computing services including servers, storage, databases, networking, software, and analytics over the Internet. The businesses can store the data and run applications in the cloud with a high availability, accessibility from anywhere with a web browser, and on pay-per-use basis. Public cloud platforms make it possible for anyone to deploy end-to-end applications easily and economically. The cloud hosting for business applications provides the additional benefits of security, elasticity, and logging compared to an in-house private cloud.In this paper, we describe the implementation of a serverless remote video monitoring solution on the Amazon Web Services (AWS) cloud. It can provide surveillance of an area against unauthorized access, identification of objects in the scene, and investigating security incidents. This autonomous prototype application provides a frame-by-frame object detection of the live video. A Short Message Service (SMS) notification alert is generated and sent to the third-party on detecting an object of interest. It provides a flexible and economical solution for remote monitoring.
{"title":"Serverless Video Analysis Pipeline for Autonomous Remote Monitoring System","authors":"Mohammad Rohan, Shurjeel Ahmed, Mohammad Kaleem, S. Nazir","doi":"10.1109/ICETECC56662.2022.10068884","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10068884","url":null,"abstract":"Cloud computing is the delivery of computing services including servers, storage, databases, networking, software, and analytics over the Internet. The businesses can store the data and run applications in the cloud with a high availability, accessibility from anywhere with a web browser, and on pay-per-use basis. Public cloud platforms make it possible for anyone to deploy end-to-end applications easily and economically. The cloud hosting for business applications provides the additional benefits of security, elasticity, and logging compared to an in-house private cloud.In this paper, we describe the implementation of a serverless remote video monitoring solution on the Amazon Web Services (AWS) cloud. It can provide surveillance of an area against unauthorized access, identification of objects in the scene, and investigating security incidents. This autonomous prototype application provides a frame-by-frame object detection of the live video. A Short Message Service (SMS) notification alert is generated and sent to the third-party on detecting an object of interest. It provides a flexible and economical solution for remote monitoring.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129570464","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069969
Shaffa Ali Memon, A. Hamza, S. S. Zaidi, B. Khan
The recent development, increased interest and achievements in artificial intelligence and Machine Learning (ML) have facilitated the development of novel methods for estimating State of charge (SoC) and State of heath (SoH) of electrified car batteries. SoC and SoH are critical to the performance, passenger comfort, and safety of electric vehicles (EVs), as well as minimizing costs associated with overdesign or oversizing of the battery pack. Two methods of ML techniques: Feedforward Back Propagation Neural Network (FBPNN) and Cascaded Feedforward Neural Network (CFNN) for estimation of SoC and SoH for electrified car batteries have been proposed using real time sample data retrieved from NASA Ames Prognostics and Panasonic 18650PF Li-Ion Battery Data Repository. The input Data set contains discharging current, ambient temperature and battery voltage. The ML algorithms have been trained using three inputs and battery states (SoH and SoC) of electrified car batteries as targets. The MATLAB based nntool toolbox has been utilized for estimation purpose. The results demonstrated that proposed CFNN has better performance in estimation and have smaller overshoots and undershoots from the actual value than the FBPNN.
{"title":"Estimating State of Charge and State of Health of Electrified Vehicle Battery by Data Driven Approach: Machine Learning","authors":"Shaffa Ali Memon, A. Hamza, S. S. Zaidi, B. Khan","doi":"10.1109/ICETECC56662.2022.10069969","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069969","url":null,"abstract":"The recent development, increased interest and achievements in artificial intelligence and Machine Learning (ML) have facilitated the development of novel methods for estimating State of charge (SoC) and State of heath (SoH) of electrified car batteries. SoC and SoH are critical to the performance, passenger comfort, and safety of electric vehicles (EVs), as well as minimizing costs associated with overdesign or oversizing of the battery pack. Two methods of ML techniques: Feedforward Back Propagation Neural Network (FBPNN) and Cascaded Feedforward Neural Network (CFNN) for estimation of SoC and SoH for electrified car batteries have been proposed using real time sample data retrieved from NASA Ames Prognostics and Panasonic 18650PF Li-Ion Battery Data Repository. The input Data set contains discharging current, ambient temperature and battery voltage. The ML algorithms have been trained using three inputs and battery states (SoH and SoC) of electrified car batteries as targets. The MATLAB based nntool toolbox has been utilized for estimation purpose. The results demonstrated that proposed CFNN has better performance in estimation and have smaller overshoots and undershoots from the actual value than the FBPNN.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134013482","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10068911
Ahsan Tanveer, Sarvat M. Ahmad
The development of a dynamic model for yaw while considering the hydrodynamic forces acting on an underwater vehicle is inevitable if its performance during a mission like underwater structure inspection is to be examined. However, the high cost of underwater testing makes it impractical to obtain a model that adequately characterizes the vehicle dynamics. Therefore, this work suggests employing computational fluid dynamics (CFD) approach to develop a yaw model of the vehicle. Drag coefficient in the dynamic model is obtained using CFD analysis. On the other hand, the data from the thrust curve is used to compute the thrust coefficient. The resulting transfer function model is validated with experimental data of the vehicle. The model synthesised using the proposed approach is discovered to agree with the experimental results.
{"title":"Linearized 1-DoF Dynamic Model of an Underwater Vehicle Using CFD","authors":"Ahsan Tanveer, Sarvat M. Ahmad","doi":"10.1109/ICETECC56662.2022.10068911","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10068911","url":null,"abstract":"The development of a dynamic model for yaw while considering the hydrodynamic forces acting on an underwater vehicle is inevitable if its performance during a mission like underwater structure inspection is to be examined. However, the high cost of underwater testing makes it impractical to obtain a model that adequately characterizes the vehicle dynamics. Therefore, this work suggests employing computational fluid dynamics (CFD) approach to develop a yaw model of the vehicle. Drag coefficient in the dynamic model is obtained using CFD analysis. On the other hand, the data from the thrust curve is used to compute the thrust coefficient. The resulting transfer function model is validated with experimental data of the vehicle. The model synthesised using the proposed approach is discovered to agree with the experimental results.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134432293","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069099
A. Pathan, Adil Hussain Chandio, Rizwan Aziz
FPGA is familiar with prototyping and implementing simple to complex DSP systems. The FPGA-based design may be highly affected by factors that include selection of an FPGA board, Electronic Design Automation Tool and the Programming Techniques to optimize the algorithm. The algorithm optimization results in a more compact design regarding the area and achieved frequency.In DSP algorithms optimization, the major bottleneck is the multiplier complexity evident in, for example - FIR, IIR, FFT, and others. Research shows much work on multiplier optimization. Despite all possible optimization techniques, the multiplier consumes tremendous resources when translated on hardware, with more power consumption and observed delay. The proposed work is novel in that it brings resources optimization in a familiar shift and add multiplier algorithm by implementing the design in FPGA and comparing the results with the existing shift, and add a multiplier. In the implementation of the design, Xilinx Vertex −7 FPGA is used along with ISE 14.2 simulators. The parameters to compare are the Lookup tables (Logic element of FPGA), adder/subtractors and the multiplexers, along with performance characters, like the operating frequency, delay and total levels of logic(path travelled by the signal in register transfer level). The output shows that the anticipated design is an excellent alternative to the conventional shift and add algorithm.
{"title":"An Optimization in Conventional Shift &Add Multiplier for Area-Efficient Implementation on FPGA","authors":"A. Pathan, Adil Hussain Chandio, Rizwan Aziz","doi":"10.1109/ICETECC56662.2022.10069099","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069099","url":null,"abstract":"FPGA is familiar with prototyping and implementing simple to complex DSP systems. The FPGA-based design may be highly affected by factors that include selection of an FPGA board, Electronic Design Automation Tool and the Programming Techniques to optimize the algorithm. The algorithm optimization results in a more compact design regarding the area and achieved frequency.In DSP algorithms optimization, the major bottleneck is the multiplier complexity evident in, for example - FIR, IIR, FFT, and others. Research shows much work on multiplier optimization. Despite all possible optimization techniques, the multiplier consumes tremendous resources when translated on hardware, with more power consumption and observed delay. The proposed work is novel in that it brings resources optimization in a familiar shift and add multiplier algorithm by implementing the design in FPGA and comparing the results with the existing shift, and add a multiplier. In the implementation of the design, Xilinx Vertex −7 FPGA is used along with ISE 14.2 simulators. The parameters to compare are the Lookup tables (Logic element of FPGA), adder/subtractors and the multiplexers, along with performance characters, like the operating frequency, delay and total levels of logic(path travelled by the signal in register transfer level). The output shows that the anticipated design is an excellent alternative to the conventional shift and add algorithm.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134136550","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10068940
Hamid Habib Syed, M. H. Mahmood
It is the texture for materials development and the technology selected that determines the realism of the finished 3D model. An in-depth literature review is presented on approaches to producing textures for 3D models and reconstructing 3D humans. The process of texture mapping on a 3D model is one of the key steps. Making a model more realistic requires specific properties to be applied to the modeled object. Through reconstruction, insight into qualities of an object could be gained that aren’t apparent from a single perspective like its relative position and volume in relation to others in the scene. Human surface geometry is reconstructed, including invisible areas, and multiple image scales are combined into one 3D space. An extensive review of experimentation on datasets like Market-1501, DeepFashion and SURREAL shows that different analytical approaches work both qualitatively and quantitatively, as measured by evaluation metrics like SSIM and LPIPS. We aimed to estimate the current level of development and potential of these techniques so that there could be further improvements and a wider range of applications for texture generation and 3D human reconstruction.
{"title":"3D Human Reconstruction with Corresponding 3D Texture Model: A Comparison of Salient Approaches","authors":"Hamid Habib Syed, M. H. Mahmood","doi":"10.1109/ICETECC56662.2022.10068940","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10068940","url":null,"abstract":"It is the texture for materials development and the technology selected that determines the realism of the finished 3D model. An in-depth literature review is presented on approaches to producing textures for 3D models and reconstructing 3D humans. The process of texture mapping on a 3D model is one of the key steps. Making a model more realistic requires specific properties to be applied to the modeled object. Through reconstruction, insight into qualities of an object could be gained that aren’t apparent from a single perspective like its relative position and volume in relation to others in the scene. Human surface geometry is reconstructed, including invisible areas, and multiple image scales are combined into one 3D space. An extensive review of experimentation on datasets like Market-1501, DeepFashion and SURREAL shows that different analytical approaches work both qualitatively and quantitatively, as measured by evaluation metrics like SSIM and LPIPS. We aimed to estimate the current level of development and potential of these techniques so that there could be further improvements and a wider range of applications for texture generation and 3D human reconstruction.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133734048","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069588
Shah Zaman, Muhammad Sharjeel Ali
The Electric Power crisis and environmental aspects promoted the choice of electric vehicles (EVs) as a substitute transportation option over typical internal combustion engine vehicles (ICEV). Now a viable source of modernizing the advancement of the Electric vehicles charging stations is the integration of renewable energy sources such as PV with battery bank to perform both charging of vehicles and interchange of power between vehicle to grid (V2G) and grid to vehicle. The proposed model optimizes a two-way energy interchange between EVs and the grid by providing a V2G and G2V operations, which provides various benefits such as peak load reduction, backup power, and load balancing to the grid. Furthermore, an increase in eco-friendly renewable energy sources (RES) i.e., photovoltaic (PV) and wind energy, is rising the power network and their infrequent power output is the source of various difficulties in the functioning, control, and planning of power system infrastructure. The proposed model successfully demonstrate the utilization of all available sources that are being used in the designing of electric vehicle charging station.
{"title":"Hybrid Charging Station for Multiple EVs through RES Performing V2G and G2V Operations*","authors":"Shah Zaman, Muhammad Sharjeel Ali","doi":"10.1109/ICETECC56662.2022.10069588","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069588","url":null,"abstract":"The Electric Power crisis and environmental aspects promoted the choice of electric vehicles (EVs) as a substitute transportation option over typical internal combustion engine vehicles (ICEV). Now a viable source of modernizing the advancement of the Electric vehicles charging stations is the integration of renewable energy sources such as PV with battery bank to perform both charging of vehicles and interchange of power between vehicle to grid (V2G) and grid to vehicle. The proposed model optimizes a two-way energy interchange between EVs and the grid by providing a V2G and G2V operations, which provides various benefits such as peak load reduction, backup power, and load balancing to the grid. Furthermore, an increase in eco-friendly renewable energy sources (RES) i.e., photovoltaic (PV) and wind energy, is rising the power network and their infrequent power output is the source of various difficulties in the functioning, control, and planning of power system infrastructure. The proposed model successfully demonstrate the utilization of all available sources that are being used in the designing of electric vehicle charging station.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121846050","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069766
Bushra Abro, B. Lal, M. Aamir, Shanker Lal Meghwar, F. A. Memon, Zameer Hussain
The measurement of compressive strength is the most important in construction industries. Conventionally used devices such as UTM (Universal Testing Machine) are costly, time-consuming, produce a lot of waste material, and produce environmental pollution. In addition, hectic processes used to be carried out, such as standard cubes were cast and tested at varying curing ages (7,14,21,28 days). In this research, we designed a smart prototype device that can measure the strength of concrete mix based on ANN (Artificial Neural Network). Using the designed system, it is possible to measure concrete’s fixed compressive strength by varying the ingredients’ proportions (cement, coarse aggregates, fine aggregates, and water). Historical concrete mix data (50) is collected from the Concrete and Structural Laboratory, Mehran University of Engineering and Technology Jamshoro, and sorted out as per ANN requirements. The system used 80% of data for training purposes and 20% for testing and validation using high accuracy (96%) historical data and further connected to a cloud storage network to collect measurement data. This device will help the construction industry make quick project choices and save material waste.
{"title":"Smart Concrete Strength Measurement Device","authors":"Bushra Abro, B. Lal, M. Aamir, Shanker Lal Meghwar, F. A. Memon, Zameer Hussain","doi":"10.1109/ICETECC56662.2022.10069766","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069766","url":null,"abstract":"The measurement of compressive strength is the most important in construction industries. Conventionally used devices such as UTM (Universal Testing Machine) are costly, time-consuming, produce a lot of waste material, and produce environmental pollution. In addition, hectic processes used to be carried out, such as standard cubes were cast and tested at varying curing ages (7,14,21,28 days). In this research, we designed a smart prototype device that can measure the strength of concrete mix based on ANN (Artificial Neural Network). Using the designed system, it is possible to measure concrete’s fixed compressive strength by varying the ingredients’ proportions (cement, coarse aggregates, fine aggregates, and water). Historical concrete mix data (50) is collected from the Concrete and Structural Laboratory, Mehran University of Engineering and Technology Jamshoro, and sorted out as per ANN requirements. The system used 80% of data for training purposes and 20% for testing and validation using high accuracy (96%) historical data and further connected to a cloud storage network to collect measurement data. This device will help the construction industry make quick project choices and save material waste.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121019020","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069570
Rafiq Asghar, M. Sulaiman, S. Saeed, Hamid Wadood, Taimoor Khan Mehmand, Z. Ullah
Reliability and controls are essential for preventing outages, load disparity, and synchronization mismatch in a power system. Smart Grid (SG) is a cost-effective solution for minimizing inter-regional variations, optimizing load demand, stabilizing equipment operations, and managing conventional and renewable power sources. However, SGs are still in their infancy, and abrupt changes in demand, grid disruptions, and weather-related variations in renewable energy have a significant impact on their stability. Various hardware and software controls are designed to preserve the stability of SG systems during disturbances and uncertainty. This paper examines the various forms of power system disturbances and their impacts on SG stability. In addition, an overview of the most common linear and nonlinear control strategies applied to SG systems is provided. Finally, advantages, disadvantages, and applications are discussed to highlight the need for more robust operational and control approaches to enhancing SG stability.
{"title":"Application of linear and nonlinear control schemes for the stability of Smart Grid","authors":"Rafiq Asghar, M. Sulaiman, S. Saeed, Hamid Wadood, Taimoor Khan Mehmand, Z. Ullah","doi":"10.1109/ICETECC56662.2022.10069570","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069570","url":null,"abstract":"Reliability and controls are essential for preventing outages, load disparity, and synchronization mismatch in a power system. Smart Grid (SG) is a cost-effective solution for minimizing inter-regional variations, optimizing load demand, stabilizing equipment operations, and managing conventional and renewable power sources. However, SGs are still in their infancy, and abrupt changes in demand, grid disruptions, and weather-related variations in renewable energy have a significant impact on their stability. Various hardware and software controls are designed to preserve the stability of SG systems during disturbances and uncertainty. This paper examines the various forms of power system disturbances and their impacts on SG stability. In addition, an overview of the most common linear and nonlinear control strategies applied to SG systems is provided. Finally, advantages, disadvantages, and applications are discussed to highlight the need for more robust operational and control approaches to enhancing SG stability.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122572727","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069660
Ahmad Bilal, Syed Jahania Shah, Manaal Khan
The IoT has enabled us to interconnect millions of devices to create smart networks. However, the consequences of an IoT failure can be severe, hence it becomes extremely critical to study and analyze the security issues. In this study mathematical models are developed using a multiple linear regression approach that helps to gauge the perception of people regarding security threats related to the layered architecture model of IoT. The survey was conducted on students of Habib University. The developed model is based on eleven hypotheses and maps to four critical perception areas of IoT sustainability, trust, exploitation of resources, and threat awareness.
{"title":"Assessing Security threats Perception of LayeredInternet of Things using Multiple Linear Regression Model","authors":"Ahmad Bilal, Syed Jahania Shah, Manaal Khan","doi":"10.1109/ICETECC56662.2022.10069660","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069660","url":null,"abstract":"The IoT has enabled us to interconnect millions of devices to create smart networks. However, the consequences of an IoT failure can be severe, hence it becomes extremely critical to study and analyze the security issues. In this study mathematical models are developed using a multiple linear regression approach that helps to gauge the perception of people regarding security threats related to the layered architecture model of IoT. The survey was conducted on students of Habib University. The developed model is based on eleven hypotheses and maps to four critical perception areas of IoT sustainability, trust, exploitation of resources, and threat awareness.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115430864","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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