Massive computations in today's computer applications necessitate the use of high-performance computing environments. Unfortunately, high costs and power management must be addressed while operating these environments. Volunteer computing (VC) enables the creation of a global network of computing devices capable of accumulating their computing power to outperform any supercomputer. VC refers to the use of underutilized computing resources donated by thousands of volunteers who want to actively participate in solving common research problems. However, VC systems experience unexpected and sudden loss of connections between volunteers' computing resources and the main server. In this case, the server must redistribute the work to new devices as they become available. This process is known as task migration, and it is already used in various volunteer frameworks to address the unavailability of computing resources. However, there is a tendency to limit the number of migrations since they are considered a technically complex and time-consuming process. In this paper, we employ heuristic search algorithms to reduce task migrations caused by loss of connections in Peer-to-Peer volunteer networks by locating an alternate network path to send output files to the server when the direct link is no longer available. The simulation results demonstrate that using a heuristic search algorithm eliminates all task migrations caused by loss of connections, resulting in less total execution time and power consumption.
{"title":"Using Heuristic Search Techniques to Reduce Task Migrations in Peer-to-Peer Volunteer Computing Networks","authors":"Ehab Saleh, C. Shastry","doi":"10.3311/ppee.21206","DOIUrl":"https://doi.org/10.3311/ppee.21206","url":null,"abstract":"Massive computations in today's computer applications necessitate the use of high-performance computing environments. Unfortunately, high costs and power management must be addressed while operating these environments. Volunteer computing (VC) enables the creation of a global network of computing devices capable of accumulating their computing power to outperform any supercomputer. VC refers to the use of underutilized computing resources donated by thousands of volunteers who want to actively participate in solving common research problems. However, VC systems experience unexpected and sudden loss of connections between volunteers' computing resources and the main server. In this case, the server must redistribute the work to new devices as they become available. This process is known as task migration, and it is already used in various volunteer frameworks to address the unavailability of computing resources. However, there is a tendency to limit the number of migrations since they are considered a technically complex and time-consuming process. In this paper, we employ heuristic search algorithms to reduce task migrations caused by loss of connections in Peer-to-Peer volunteer networks by locating an alternate network path to send output files to the server when the direct link is no longer available. The simulation results demonstrate that using a heuristic search algorithm eliminates all task migrations caused by loss of connections, resulting in less total execution time and power consumption.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"24 1","pages":"355-367"},"PeriodicalIF":0.0,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74459737","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}
A. Pechnikov, Nikolai Bogdanov, A. Nwohiri, Ijeoma Nwohiri
Pneumonia is an infection that inflames the air sacs in the lungs. It remains the leading cause of death in children aged <5 years. This acute respiratory infection kills over 150,000 newborns yearly. We present two approaches for detecting pneumonic lungs. Both involve chest X-ray (CXR) image classification. The first approach is based on convolutional neural networks (CNN). The second approach, proposed by us, uses the theoretical notion of Kolmogorov complexity (KC), which introduces the normalized compression distance (NCD) – a way of measuring similarities between objects of different nature, such as images. The respective algorithms are described, software implementation details are presented. Experiments were conducted to enable us to choose optimal parameter values that would facilitate accurate pneumonia detection. The two procedures showed high classification quality. This convincingly indicates they were accurate in differentiating the chest X-rays. Though a known fact, the CNN approach was confirmed to be more efficient when dealing with a larger training dataset. On the other hand, the NCD-KC technique was shown to be more efficient when handling a small number of classified images. A more sensitive and more accurate pneumonia diagnosing technique that combines the strengths of both approaches is found to be feasible.
{"title":"Two Approaches for Detecting Pneumonia from Chest X-ray Images: Neural Network vs Kolmogorov Complexity","authors":"A. Pechnikov, Nikolai Bogdanov, A. Nwohiri, Ijeoma Nwohiri","doi":"10.3311/ppee.21616","DOIUrl":"https://doi.org/10.3311/ppee.21616","url":null,"abstract":"Pneumonia is an infection that inflames the air sacs in the lungs. It remains the leading cause of death in children aged <5 years. This acute respiratory infection kills over 150,000 newborns yearly. We present two approaches for detecting pneumonic lungs. Both involve chest X-ray (CXR) image classification. The first approach is based on convolutional neural networks (CNN). The second approach, proposed by us, uses the theoretical notion of Kolmogorov complexity (KC), which introduces the normalized compression distance (NCD) – a way of measuring similarities between objects of different nature, such as images. The respective algorithms are described, software implementation details are presented. Experiments were conducted to enable us to choose optimal parameter values that would facilitate accurate pneumonia detection. The two procedures showed high classification quality. This convincingly indicates they were accurate in differentiating the chest X-rays. Though a known fact, the CNN approach was confirmed to be more efficient when dealing with a larger training dataset. On the other hand, the NCD-KC technique was shown to be more efficient when handling a small number of classified images. A more sensitive and more accurate pneumonia diagnosing technique that combines the strengths of both approaches is found to be feasible.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"15 1","pages":"345-354"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78104043","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}
Mouncef El Marghichi, Azedine Loulijat, I. E. Hantati
For SOC (state of charge) assessment techniques based on electrical circuit models, the parameters of the model are strongly biased by: battery aging, temperature, causing some errors in the estimation of the SOC. One approach to solve this problem is to update the model parameters constantly. We suggest a new algorithm VRLS (Variable recursive least squares) to update the parameters of a 2-resistor-capacitor (RC) network and to estimate the output battery voltage. VRLS is compared to the recursive least squares (RLS) and the adaptive forgetting factor recursive least squares (AFFRLS) algorithms. For algorithm assessment, we utilized real experimental data conducted on the Samsung 18650-20R lithium-ion cell. The tests indicate that compared to RLS and AFFRLS methods, VRLS recorded a low distribution in the high error range, in addition to small predictive performance indicators (RMSE, MAE, and MAPE) in all tests, which implies that VRLS has a good parameter identification ability.
{"title":"Variable Recursive Least Square Algorithm for Lithium-ion Battery Equivalent Circuit Model Parameters Identification","authors":"Mouncef El Marghichi, Azedine Loulijat, I. E. Hantati","doi":"10.3311/ppee.21339","DOIUrl":"https://doi.org/10.3311/ppee.21339","url":null,"abstract":"For SOC (state of charge) assessment techniques based on electrical circuit models, the parameters of the model are strongly biased by: battery aging, temperature, causing some errors in the estimation of the SOC. One approach to solve this problem is to update the model parameters constantly. We suggest a new algorithm VRLS (Variable recursive least squares) to update the parameters of a 2-resistor-capacitor (RC) network and to estimate the output battery voltage. VRLS is compared to the recursive least squares (RLS) and the adaptive forgetting factor recursive least squares (AFFRLS) algorithms. For algorithm assessment, we utilized real experimental data conducted on the Samsung 18650-20R lithium-ion cell. The tests indicate that compared to RLS and AFFRLS methods, VRLS recorded a low distribution in the high error range, in addition to small predictive performance indicators (RMSE, MAE, and MAPE) in all tests, which implies that VRLS has a good parameter identification ability.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"2021 1","pages":"239-248"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72712894","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 piano is a complex musical instrument consisting of several components influencing vibration and sound production. By understanding the sound production mechanism virtual instruments can be created (physics-based sound synthesis) and the design and manufacturing of soundboards can be supported (virtual prototyping). Based on previous results published in the literature, a piano model was built and extended by a near field sound radiation model capable for physics-based sound synthesis. In this paper a simplified piano model is presented, including hammer strike and hysteretic felt models, coupled lossy string model and a 2D FEM based stiffened plate model for soundboard. This paper contains a parametric study where the soundboard parameters, such as its material characteristics and boundary conditions, are modified and their effect on the soundboard's modal behavior and the radiated sound is analyzed. Instead of using only musical (qualitative) descriptors, e.g. brightness or coloring, the piano sounds are characterized based on standard quantitative descriptors (e.g. harmonic ratio, spectral centroid). It is shown that these descriptors are determined by soundboard admittance, string characteristics and position on the soundboard; radiated sound from wooden soundboards can be characterized as harmonic for wide range of initial material descriptors; the string position is essential, and the perceived sound can differ significantly for different listening positions, even for the same harmonic decay pattern.
{"title":"Piano Soundboard Analysis at Radiated Sound","authors":"Dóra Jenei-Kulcsár, P. Fiala","doi":"10.3311/ppee.21181","DOIUrl":"https://doi.org/10.3311/ppee.21181","url":null,"abstract":"The piano is a complex musical instrument consisting of several components influencing vibration and sound production. By understanding the sound production mechanism virtual instruments can be created (physics-based sound synthesis) and the design and manufacturing of soundboards can be supported (virtual prototyping). Based on previous results published in the literature, a piano model was built and extended by a near field sound radiation model capable for physics-based sound synthesis. In this paper a simplified piano model is presented, including hammer strike and hysteretic felt models, coupled lossy string model and a 2D FEM based stiffened plate model for soundboard. This paper contains a parametric study where the soundboard parameters, such as its material characteristics and boundary conditions, are modified and their effect on the soundboard's modal behavior and the radiated sound is analyzed. Instead of using only musical (qualitative) descriptors, e.g. brightness or coloring, the piano sounds are characterized based on standard quantitative descriptors (e.g. harmonic ratio, spectral centroid). It is shown that these descriptors are determined by soundboard admittance, string characteristics and position on the soundboard; radiated sound from wooden soundboards can be characterized as harmonic for wide range of initial material descriptors; the string position is essential, and the perceived sound can differ significantly for different listening positions, even for the same harmonic decay pattern.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"251 ","pages":"291-299"},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72506456","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}
B. Kiyyour, Laggoun Louanasse, A. Salhi, D. Naimi, G. Boukhalfa
The work carried out in this paper proposes an improvement of the direct torque control (DTC) of induction machine by the design of modern, robust and more efficient controllers than the conventional PI controllers commonly used for speed control. A comparative study has been carried out using five controllers, i.e. PI anti-windup, first-order sliding mode control (SMC), second order sliding mode control (SOSMC), fuzzy logic controller (Fuzzy-PI) and hybrid Fuzzy second-order sliding mode controller (FSOSMC). An advanced optimization technique based on the particle swarm optimization (PSO) algorithm has been utilized to optimize all of these controllers, the use of PSO for the determination of the different gains used in all controllers gives on the one hand a high accuracy performance and ensures on the other hand a reliable comparison between the different controllers in their optimal states. The simulation and analysis of each method with respect to robustness to disturbances was performed externally under various operating conditions and variations of the machine parameters.
{"title":"Improvement DTC for Induction Motor Drives Using Modern Speed Controllers Tuning by PSO Algorithm","authors":"B. Kiyyour, Laggoun Louanasse, A. Salhi, D. Naimi, G. Boukhalfa","doi":"10.3311/ppee.21000","DOIUrl":"https://doi.org/10.3311/ppee.21000","url":null,"abstract":"The work carried out in this paper proposes an improvement of the direct torque control (DTC) of induction machine by the design of modern, robust and more efficient controllers than the conventional PI controllers commonly used for speed control. A comparative study has been carried out using five controllers, i.e. PI anti-windup, first-order sliding mode control (SMC), second order sliding mode control (SOSMC), fuzzy logic controller (Fuzzy-PI) and hybrid Fuzzy second-order sliding mode controller (FSOSMC). An advanced optimization technique based on the particle swarm optimization (PSO) algorithm has been utilized to optimize all of these controllers, the use of PSO for the determination of the different gains used in all controllers gives on the one hand a high accuracy performance and ensures on the other hand a reliable comparison between the different controllers in their optimal states. The simulation and analysis of each method with respect to robustness to disturbances was performed externally under various operating conditions and variations of the machine parameters.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"167 1","pages":"249-259"},"PeriodicalIF":0.0,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77925743","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}
Nirupam Shome, Anisha Sarkar, Arit Ghosh, R. Laskar, Richik Kashyap
Deep learning has now become an integral part of today's world and advancement in the field of deep learning has gained a huge development. Due to the extensive use and fast growth of deep learning, it has captured the attention of researchers in the field of speaker recognition. A detailed investigation regarding the process becomes essential and helpful to the researchers for designing robust applications in the field of speaker recognition, both in speaker verification and identification. This paper reviews the field of speaker recognition taking into consideration of deep learning advancement in the present era that boosts up this technology. The paper continues with a systematic review by firstly giving a basic idea of deep learning and its architecture with its field of application, then entering into the high-lighted portion of our paper i.e., speaker recognition which is one of the important applications of deep learning. Here we have mentioned its types, different processing techniques, challenges that come across in this technology, performance evaluation criteria, deep learning implementation frameworks, and lastly various databases used in the field of speaker identification (SI) and Speaker Verification (SV).
{"title":"Speaker Recognition through Deep Learning Techniques: A Comprehensive Review and Research Challenges","authors":"Nirupam Shome, Anisha Sarkar, Arit Ghosh, R. Laskar, Richik Kashyap","doi":"10.3311/ppee.20971","DOIUrl":"https://doi.org/10.3311/ppee.20971","url":null,"abstract":"Deep learning has now become an integral part of today's world and advancement in the field of deep learning has gained a huge development. Due to the extensive use and fast growth of deep learning, it has captured the attention of researchers in the field of speaker recognition. A detailed investigation regarding the process becomes essential and helpful to the researchers for designing robust applications in the field of speaker recognition, both in speaker verification and identification. This paper reviews the field of speaker recognition taking into consideration of deep learning advancement in the present era that boosts up this technology. The paper continues with a systematic review by firstly giving a basic idea of deep learning and its architecture with its field of application, then entering into the high-lighted portion of our paper i.e., speaker recognition which is one of the important applications of deep learning. Here we have mentioned its types, different processing techniques, challenges that come across in this technology, performance evaluation criteria, deep learning implementation frameworks, and lastly various databases used in the field of speaker identification (SI) and Speaker Verification (SV).","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"31 1","pages":"300-336"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86039393","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}
This paper proposes a scheme for auto-tuning a lag-lead compensator to satisfy frequency-domain specifications of a feedback control system. Most previous studies proposed algorithms for tuning either lag or lead compensators. A study presented a self-tuning lag-lead compensator whose proportional gain, however, needs to be set manually. In contrast to previous studies, a fully automated tuning process for a lag-lead compensator is devised in this paper. In the proposed scheme, the plant's frequency responses at specific frequencies are first estimated, and an iterative algorithm adapts all controller parameters. To facilitate the estimation of high loop gain at a low frequency, a notch filter is introduced to the control loop while estimating this high low-frequency loop gain. Without this mechanism, a real-time data acquisition system of a wide dynamic range would be required. In addition to fulfilling the requirements for the low-frequency loop gain and phase margin, another feature of the proposed scheme is the satisfaction of the required gain-crossover frequency. However, the proposed method supposes that the frequency-domain specifications can be met for a plant using a lag-lead compensator, which is the plant's requirement for the proposed method. Experimental results for controlling a voice-coil motor are reported in this paper, showing that the proposed auto-tuner can practically provide a lag-lead compensated system satisfying frequency-domain performance requirements.
{"title":"Practical Automatic Tuning of Lag-lead Compensators for Feedback Control Systems","authors":"Yu-Sheng Lu, Tsang-Shiuan Tsai, Chin-Hao Lai","doi":"10.3311/ppee.21533","DOIUrl":"https://doi.org/10.3311/ppee.21533","url":null,"abstract":"This paper proposes a scheme for auto-tuning a lag-lead compensator to satisfy frequency-domain specifications of a feedback control system. Most previous studies proposed algorithms for tuning either lag or lead compensators. A study presented a self-tuning lag-lead compensator whose proportional gain, however, needs to be set manually. In contrast to previous studies, a fully automated tuning process for a lag-lead compensator is devised in this paper. In the proposed scheme, the plant's frequency responses at specific frequencies are first estimated, and an iterative algorithm adapts all controller parameters. To facilitate the estimation of high loop gain at a low frequency, a notch filter is introduced to the control loop while estimating this high low-frequency loop gain. Without this mechanism, a real-time data acquisition system of a wide dynamic range would be required. In addition to fulfilling the requirements for the low-frequency loop gain and phase margin, another feature of the proposed scheme is the satisfaction of the required gain-crossover frequency. However, the proposed method supposes that the frequency-domain specifications can be met for a plant using a lag-lead compensator, which is the plant's requirement for the proposed method. Experimental results for controlling a voice-coil motor are reported in this paper, showing that the proposed auto-tuner can practically provide a lag-lead compensated system satisfying frequency-domain performance requirements.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"23 1","pages":"281-290"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87878947","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 purpose of this study is to enhance the accuracy of direct power/torque control (DPC/DTC) applied to back-to-back converters supplying a doubly fed induction generator (DFIG) based wind power system. Two solutions are proposed. The first one is to increase the degree of freedom of the DTC and DPC control by implementing three-level back-to-back converters. Fuzzy logic control is the second solution to enhance the performances of both conventional direct power/torque control, leading in a decrease of the DFIG's torque/flux ripples and the active/reactive powers ripples supplied by the grid side converter, consequently, reduce the grid currents' total harmonic distortion (THD). The MATLAB/Simulink environment is used to evaluate the wind power generation system performances. The collected findings show that the fuzzy direct control (FDC) technique outperforms conventional direct control (CDC) when used for two-level back-to-back converters.
{"title":"Multilevel Converter and Fuzzy Logic Solutions for Improving Direct Control Accuracy of DFIG-based Wind Energy System","authors":"Oualid Djoudi, S. Belaid, S. Tamalouzt","doi":"10.3311/ppee.21047","DOIUrl":"https://doi.org/10.3311/ppee.21047","url":null,"abstract":"The purpose of this study is to enhance the accuracy of direct power/torque control (DPC/DTC) applied to back-to-back converters supplying a doubly fed induction generator (DFIG) based wind power system. Two solutions are proposed. The first one is to increase the degree of freedom of the DTC and DPC control by implementing three-level back-to-back converters. Fuzzy logic control is the second solution to enhance the performances of both conventional direct power/torque control, leading in a decrease of the DFIG's torque/flux ripples and the active/reactive powers ripples supplied by the grid side converter, consequently, reduce the grid currents' total harmonic distortion (THD). The MATLAB/Simulink environment is used to evaluate the wind power generation system performances. The collected findings show that the fuzzy direct control (FDC) technique outperforms conventional direct control (CDC) when used for two-level back-to-back converters.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"102 1","pages":"136-148"},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80732389","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}
In this manuscript, an Adaptive and Efficient Hybrid In-loop Filter based on Enhanced Generative Adversarial Network Deblocking Filter (EGANDF) with Sample Adaptive Offset filter (EGANDF-SAO-HEVC) is proposed for High Efficiency Video Coding (HEVC)/H-265. In this, the proposed hybrid in-loop filter involves EGANDF and Sample Adaptive Offset (SAO) filter that lessens the blocking artifacts caused by block-wise processing for coding unit (CU), which is mainly used for improving the video quality. Initially, EGANDF is proposed for HEVC/H-265 for removing blocking artifacts along low computation. Here, the output of EGANDF is given to the SAO filter for reducing ringing artifacts by diminishing high-frequency components during quantization. Thus, the proposed method efficiently reduces artifacts for improving video quality performance. The proposed EGANDF-SAO-HEVC method is implemented in the working platform of HEVC reference software with MATLAB. Finally, the proposed EGANDF-SAO-HEVC model has attained 27.26%, 29.65%, 12.45% higher accuracy, 33.56%, 31.8%, 28.7% higher sensitivity, 34.7%, 33.5%, 32.6% higher specificity, 46.92%, 35.7%, 41.3% lower MSE, 25.7%, 29.7%, 35.6% higher PSNR, and 25.6%, 28.9%, 13.6% higher SSIM for using basketball video sequence when compared to the existing methods.
{"title":"Adaptive and Efficient Hybrid In-loop Filter Based on Enhanced Generative Adversarial Networks with Sample Adaptive Offset Filter for HEVC/H-265","authors":"Vanishree Moji, Mathivanan Murugavelu","doi":"10.3311/ppee.20881","DOIUrl":"https://doi.org/10.3311/ppee.20881","url":null,"abstract":"In this manuscript, an Adaptive and Efficient Hybrid In-loop Filter based on Enhanced Generative Adversarial Network Deblocking Filter (EGANDF) with Sample Adaptive Offset filter (EGANDF-SAO-HEVC) is proposed for High Efficiency Video Coding (HEVC)/H-265. In this, the proposed hybrid in-loop filter involves EGANDF and Sample Adaptive Offset (SAO) filter that lessens the blocking artifacts caused by block-wise processing for coding unit (CU), which is mainly used for improving the video quality. Initially, EGANDF is proposed for HEVC/H-265 for removing blocking artifacts along low computation. Here, the output of EGANDF is given to the SAO filter for reducing ringing artifacts by diminishing high-frequency components during quantization. Thus, the proposed method efficiently reduces artifacts for improving video quality performance. The proposed EGANDF-SAO-HEVC method is implemented in the working platform of HEVC reference software with MATLAB. Finally, the proposed EGANDF-SAO-HEVC model has attained 27.26%, 29.65%, 12.45% higher accuracy, 33.56%, 31.8%, 28.7% higher sensitivity, 34.7%, 33.5%, 32.6% higher specificity, 46.92%, 35.7%, 41.3% lower MSE, 25.7%, 29.7%, 35.6% higher PSNR, and 25.6%, 28.9%, 13.6% higher SSIM for using basketball video sequence when compared to the existing methods.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"235 1","pages":"216-228"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82113396","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}
Quantum-dot cellular automata (QCA) nanotechnology has the capability to design highly-dense, ultra-low power, and high-speed digital circuits at ultra-deep sub-micron (ultra-DSM) level. QCA nanostructure provides a transistor-free operation that saves large energy dissipation as compared to the conventional metal oxide semiconductor field effect transistor (MOSFET) technology. In this paper, 3-input exclusive-OR (XOR) and exclusive-NOR (XNOR) gates are presented using QCA cells. XOR and XNOR (XOR-XNOR) gates are further utilized to design the 2-, 3-, 4-, and 5-bit even and odd parity generators. The QCA-based 3-input XNOR gate is constructed using only 10 QCA cells and two clock phases. The target of the presented designs is to use the minimum count of QCA cells in a simplistic way to form the higher bit-size parity generators. The comparative analyses for the different performance metrics are showing that the developed designs are performing well for the cell count, latency, area, and layout cost as compared to the existing designs. Energy dissipation for the designs is calculated to check the energy efficiency by using the QCA Designer-E and QCA Pro tools.
{"title":"Parity Generators for Nanocommunication Systems Using QCA Nanotechnology","authors":"V.K. Sharma","doi":"10.3311/ppee.20602","DOIUrl":"https://doi.org/10.3311/ppee.20602","url":null,"abstract":"Quantum-dot cellular automata (QCA) nanotechnology has the capability to design highly-dense, ultra-low power, and high-speed digital circuits at ultra-deep sub-micron (ultra-DSM) level. QCA nanostructure provides a transistor-free operation that saves large energy dissipation as compared to the conventional metal oxide semiconductor field effect transistor (MOSFET) technology. In this paper, 3-input exclusive-OR (XOR) and exclusive-NOR (XNOR) gates are presented using QCA cells. XOR and XNOR (XOR-XNOR) gates are further utilized to design the 2-, 3-, 4-, and 5-bit even and odd parity generators. The QCA-based 3-input XNOR gate is constructed using only 10 QCA cells and two clock phases. The target of the presented designs is to use the minimum count of QCA cells in a simplistic way to form the higher bit-size parity generators. The comparative analyses for the different performance metrics are showing that the developed designs are performing well for the cell count, latency, area, and layout cost as compared to the existing designs. Energy dissipation for the designs is calculated to check the energy efficiency by using the QCA Designer-E and QCA Pro tools.","PeriodicalId":37664,"journal":{"name":"Periodica polytechnica Electrical engineering and computer science","volume":"80 1","pages":"229-237"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76220303","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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