2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)最新文献
Pub Date : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8303025
H. A. Elnemr
Automatic identification of plant species is an essentialfield of research that is required in several areas. Plant leaves recognition plays an influential part in plant identification due to leaves obtainability andstationary features. In this paper, an efficient automatic leave identification system based on texture features is presented. The proposed system is based on several steps. First, the leaf image is pre-processed to remove the noise, enhance the image appearance and extract the region of interest (ROI). Next, texture features, including curvelet transform descriptors (CTD), local binary pattern (LBP) and grey level co-occurrence matrix (GLCM) texture features, are extracted and normalized. Afterward, the Neighbourhood Component Feature Selection (NCFS) method is performed to reduce the feature space as well as select the significant features that are capable ofseparatingdifferent leaves classes. Finally, the selected features are fed to k-Nearest Neighbour (k-NN) classifier to categorize the plant leaves. A combination of 78 CTD, 17 GLCM texture features, and 59 LBP, with a total of 154, are reduced to 16 significant features using NCFS. The proposed technique is tested and evaluated on Flavia Leaves dataset. The selected 16 features achieved an accuracy of 98% using K-NN classifier. The system is evaluated using K-fold cross-validation method.
{"title":"Feature selection for texture-based plant leaves classification","authors":"H. A. Elnemr","doi":"10.1109/ACCS-PEIT.2017.8303025","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303025","url":null,"abstract":"Automatic identification of plant species is an essentialfield of research that is required in several areas. Plant leaves recognition plays an influential part in plant identification due to leaves obtainability andstationary features. In this paper, an efficient automatic leave identification system based on texture features is presented. The proposed system is based on several steps. First, the leaf image is pre-processed to remove the noise, enhance the image appearance and extract the region of interest (ROI). Next, texture features, including curvelet transform descriptors (CTD), local binary pattern (LBP) and grey level co-occurrence matrix (GLCM) texture features, are extracted and normalized. Afterward, the Neighbourhood Component Feature Selection (NCFS) method is performed to reduce the feature space as well as select the significant features that are capable ofseparatingdifferent leaves classes. Finally, the selected features are fed to k-Nearest Neighbour (k-NN) classifier to categorize the plant leaves. A combination of 78 CTD, 17 GLCM texture features, and 59 LBP, with a total of 154, are reduced to 16 significant features using NCFS. The proposed technique is tested and evaluated on Flavia Leaves dataset. The selected 16 features achieved an accuracy of 98% using K-NN classifier. The system is evaluated using K-fold cross-validation method.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132551118","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 : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8303047
J. Cigánek, Michal Kocur
The presented paper deals with the modeling principles of nonlinear dynamic systems and with the design of optimal model structures created by artificial neural networks and fuzzy theory. Four models were created for modeling of selected system: a neural network model, an adaptive neuro-fuzzy model and two neural networks with optimal structure obtained using Optimal Brain Damage and Optimal Brain Surgeon algorithms. The quality of proposed solutions were compared and verified on a real system of steam turbine in thermal power plant and in nuclear power plant.
{"title":"Neuro-fuzzy modeling of dynamic systems in energetics using pruning methods","authors":"J. Cigánek, Michal Kocur","doi":"10.1109/ACCS-PEIT.2017.8303047","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303047","url":null,"abstract":"The presented paper deals with the modeling principles of nonlinear dynamic systems and with the design of optimal model structures created by artificial neural networks and fuzzy theory. Four models were created for modeling of selected system: a neural network model, an adaptive neuro-fuzzy model and two neural networks with optimal structure obtained using Optimal Brain Damage and Optimal Brain Surgeon algorithms. The quality of proposed solutions were compared and verified on a real system of steam turbine in thermal power plant and in nuclear power plant.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114426419","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 : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8303039
Ghada F. Elkabbany, Mohamed Rasslan, H. Aslan
Nowadays, RSA and ElGamal algorithms are the most effective public key cryptosystems. These systems are used to achieve user's authenticity and ensure data confidentiality. Signature algorithms allow a third-party to confirm the authenticity of a message that was sent over an insecure channel. RSA signature algorithm depends on the difficulty of factoring large composite numbers and ElGamal signature algorithm depends on the difficulty of computing discrete logs over large prime modulus. In this paper, we enhance the performance of ElGamal signature algorithm through designing a parallel design for both signature and verification processes. The analysis shows that the deployment of proposed parallel design significantly decreases the execution time of ElGamal algorithm.
{"title":"Enhanement of elgamal signature scheme using multi-processing system","authors":"Ghada F. Elkabbany, Mohamed Rasslan, H. Aslan","doi":"10.1109/ACCS-PEIT.2017.8303039","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303039","url":null,"abstract":"Nowadays, RSA and ElGamal algorithms are the most effective public key cryptosystems. These systems are used to achieve user's authenticity and ensure data confidentiality. Signature algorithms allow a third-party to confirm the authenticity of a message that was sent over an insecure channel. RSA signature algorithm depends on the difficulty of factoring large composite numbers and ElGamal signature algorithm depends on the difficulty of computing discrete logs over large prime modulus. In this paper, we enhance the performance of ElGamal signature algorithm through designing a parallel design for both signature and verification processes. The analysis shows that the deployment of proposed parallel design significantly decreases the execution time of ElGamal algorithm.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128971652","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 : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8303063
M. Selmy, H. Mostafa, Ahmed A. S. Dessouki
Neural stimulation is one of the most important stimulations in biomedical engineering because it is used to treat the chronic pain such as Parkinson's disease. The main challenge in designing a very low frequency oscillator is the large physical dimensions of the passive elements used in the circuit that occupy large Silicon area. Therefore, the memristor can be used instead of resistance to decrease the Silicon area and to achieve low power consumption. That is because the memristor has two important advantages to be used in the voltage controlled oscillator design for electrical neural stimulation which are: (1) nano scale dimensions and (2) low power consumption. This paper presents a memristor based new voltage controlled oscillator for electrical neural stimulation. The proposed circuit generates low frequency range from 104 Hz to 203 Hz with low power consumption equal 0.79 mW which is the main challenge in deep brain stimulators and the total Silicon area is 0.67 mm2.
{"title":"Low power memristor based voltage controlled oscillator for electrical neural stimulation","authors":"M. Selmy, H. Mostafa, Ahmed A. S. Dessouki","doi":"10.1109/ACCS-PEIT.2017.8303063","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303063","url":null,"abstract":"Neural stimulation is one of the most important stimulations in biomedical engineering because it is used to treat the chronic pain such as Parkinson's disease. The main challenge in designing a very low frequency oscillator is the large physical dimensions of the passive elements used in the circuit that occupy large Silicon area. Therefore, the memristor can be used instead of resistance to decrease the Silicon area and to achieve low power consumption. That is because the memristor has two important advantages to be used in the voltage controlled oscillator design for electrical neural stimulation which are: (1) nano scale dimensions and (2) low power consumption. This paper presents a memristor based new voltage controlled oscillator for electrical neural stimulation. The proposed circuit generates low frequency range from 104 Hz to 203 Hz with low power consumption equal 0.79 mW which is the main challenge in deep brain stimulators and the total Silicon area is 0.67 mm2.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124014543","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 : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8302996
Amna Ali, A. Saleh, A. Saleh, H. Dorrah
This paper proposes two mathematical methods for constructing the minimum area consolidity region (chart) under the condition of passing the major axis of ellipse through origin. The physical significance of the consolidity chart is that it marks the boundary of all system interactive behavior resulting from all exhaustive fuzzy internal and external influences. The shape and size of each consolidity geometric region determine how the feature of system susceptibility to change. Approximated results for drawing the consolidity region were obtained earlier as found in literature because it was done by a heuristic method that depends on sense rather than deterministic mathematical technique. The proposed techniques in this paper being dependent on mathematical and optimization rules, are proven to give exact reliable results as will be demonstrated in this paper. As an application, the proposed methods are applied to construct consolidity charts after consolidity analysis on designing controller gains via pole placement technique and consolidity analysis applied on DC motor. Consolidity analysis on designing controller gains via pole placement technique handles three cases of study. This analysis is proposed to be taken into consideration while designing new controllers and for the analysis of existing controllers in fuzzy environments. Finally, the paper is presenting a practical application, through the demonstration of consolidity analysis for the DC motor output position, its controllers, controllability and stability.
{"title":"New techniques for construction of consolidity regions with applications to DC motors control","authors":"Amna Ali, A. Saleh, A. Saleh, H. Dorrah","doi":"10.1109/ACCS-PEIT.2017.8302996","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8302996","url":null,"abstract":"This paper proposes two mathematical methods for constructing the minimum area consolidity region (chart) under the condition of passing the major axis of ellipse through origin. The physical significance of the consolidity chart is that it marks the boundary of all system interactive behavior resulting from all exhaustive fuzzy internal and external influences. The shape and size of each consolidity geometric region determine how the feature of system susceptibility to change. Approximated results for drawing the consolidity region were obtained earlier as found in literature because it was done by a heuristic method that depends on sense rather than deterministic mathematical technique. The proposed techniques in this paper being dependent on mathematical and optimization rules, are proven to give exact reliable results as will be demonstrated in this paper. As an application, the proposed methods are applied to construct consolidity charts after consolidity analysis on designing controller gains via pole placement technique and consolidity analysis applied on DC motor. Consolidity analysis on designing controller gains via pole placement technique handles three cases of study. This analysis is proposed to be taken into consideration while designing new controllers and for the analysis of existing controllers in fuzzy environments. Finally, the paper is presenting a practical application, through the demonstration of consolidity analysis for the DC motor output position, its controllers, controllability and stability.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122999285","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 : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8303049
G. Magdy, G. Shabib, Adel A. Elbase, Y. Qudaih, Y. Mitani
The world is turning towards smart grids. However, upgrading the existing systems could be the easiest solution for such approach. On the other hand, Load Frequency Control (LFC) is a critical issue in the dynamical operation of power systems. This paper presents LFC scheme for a realistic Power System operational in Egypt(EPS) with inherent nonlinearities. Moreover, the speed response of every subsystem is different from each other. The effects of the physical constraints such as Generation Rate Constraints (GRC) of power plants and speed governor dead band (blackash) are taken into consideration. In this paper, each subsystem controller has been designed independently to guarantee the stability of the overall closed loop system. Hence, optimal PID controllers based on Particle Swarm Optimization (PSO) algorithm are proposed for every subsystem separately to regulate the frequency and track the load. In order to investigate the ability of upgrading the system to smart grids, the performance of the proposed decentralized PID controller of each subsystems is compared with aggregate one. The proposed model can achieve a robust stability against changing the system parameters and operating load condition for the EPS with multi-source environment. The results by nonlinear simulation Matlab/Simulink for the EPS LFC approves that the decentralized model of the controller gives the same performance as the aggregated one. However, in case of large disturbances, the aggregated controller design cannot handle the fault while the decentralized scheme is more robust and effective against all disturbances and operating conditions. In contrast, in the advanced smart grids, the aggregated design would give a better flexible control strategy for the system.
{"title":"Upgrading power system in Egypt towards smart grid","authors":"G. Magdy, G. Shabib, Adel A. Elbase, Y. Qudaih, Y. Mitani","doi":"10.1109/ACCS-PEIT.2017.8303049","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303049","url":null,"abstract":"The world is turning towards smart grids. However, upgrading the existing systems could be the easiest solution for such approach. On the other hand, Load Frequency Control (LFC) is a critical issue in the dynamical operation of power systems. This paper presents LFC scheme for a realistic Power System operational in Egypt(EPS) with inherent nonlinearities. Moreover, the speed response of every subsystem is different from each other. The effects of the physical constraints such as Generation Rate Constraints (GRC) of power plants and speed governor dead band (blackash) are taken into consideration. In this paper, each subsystem controller has been designed independently to guarantee the stability of the overall closed loop system. Hence, optimal PID controllers based on Particle Swarm Optimization (PSO) algorithm are proposed for every subsystem separately to regulate the frequency and track the load. In order to investigate the ability of upgrading the system to smart grids, the performance of the proposed decentralized PID controller of each subsystems is compared with aggregate one. The proposed model can achieve a robust stability against changing the system parameters and operating load condition for the EPS with multi-source environment. The results by nonlinear simulation Matlab/Simulink for the EPS LFC approves that the decentralized model of the controller gives the same performance as the aggregated one. However, in case of large disturbances, the aggregated controller design cannot handle the fault while the decentralized scheme is more robust and effective against all disturbances and operating conditions. In contrast, in the advanced smart grids, the aggregated design would give a better flexible control strategy for the system.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117017135","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 : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8303045
Mohammad W. Khalaf, F. El-Hefnawi, Hany M. Harb
This paper presents a new feature for the reflected landmine signals at different depths. It can be described mathematically by applying Prony's method, to calculate the complex resonance frequencies (CNR), which are considered as suitable features to discriminate different targets. Different classification techniques were evaluated: artificial neural network (ANN), K-Nearest Neighbour (KNN), Multi-ClassSupport Vector Machine (MC-SVM) and Decision Tree(DT).
{"title":"Identification and classification of reflected landmine signals based on complex resonance frequency in dispersive media","authors":"Mohammad W. Khalaf, F. El-Hefnawi, Hany M. Harb","doi":"10.1109/ACCS-PEIT.2017.8303045","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303045","url":null,"abstract":"This paper presents a new feature for the reflected landmine signals at different depths. It can be described mathematically by applying Prony's method, to calculate the complex resonance frequencies (CNR), which are considered as suitable features to discriminate different targets. Different classification techniques were evaluated: artificial neural network (ANN), K-Nearest Neighbour (KNN), Multi-ClassSupport Vector Machine (MC-SVM) and Decision Tree(DT).","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122570916","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 : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8303050
A. H. El-Garawany, M. E. Karar, M. El-Brawany
Chemotherapy is one of the essential treatment methods for cancer patients. This paper presents a new embedded fuzzy logic control scheme of cancer chemotherapy drug delivery system. The developed controller is capable of achieving targeted drug concentrations at tumor tissues to minimize number of cancerous cells, considering therapeutic constraints; namely maximum allowed levels of both drug infusion dose and drug-dose toxicity. This study has been successfully validated using hardware-in-the-loop simulation technique, based on a mathematical model of patient chemotherapy response and Arduino Mega microcontrollers. Compared to previous studies, the results of embedded drug infusion controller showed that the smallest value of remaining cancerous cells is 8.34, the toxic level of injected drug does not exceed the maximum value of clinical constraint at 100 mg/ml/day, and the best performance index of cancer chemotherapy is 25.51 at the end of treatment time. Therefore, the embedded closed-loop controller in this study presents potentially a good upgrade option for clinical drug delivery systems to enhance the performance of intravenous cancer chemotherapy procedures.
{"title":"Embedded drug delivery controller for cancer chemotherapy under treatment constrains","authors":"A. H. El-Garawany, M. E. Karar, M. El-Brawany","doi":"10.1109/ACCS-PEIT.2017.8303050","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303050","url":null,"abstract":"Chemotherapy is one of the essential treatment methods for cancer patients. This paper presents a new embedded fuzzy logic control scheme of cancer chemotherapy drug delivery system. The developed controller is capable of achieving targeted drug concentrations at tumor tissues to minimize number of cancerous cells, considering therapeutic constraints; namely maximum allowed levels of both drug infusion dose and drug-dose toxicity. This study has been successfully validated using hardware-in-the-loop simulation technique, based on a mathematical model of patient chemotherapy response and Arduino Mega microcontrollers. Compared to previous studies, the results of embedded drug infusion controller showed that the smallest value of remaining cancerous cells is 8.34, the toxic level of injected drug does not exceed the maximum value of clinical constraint at 100 mg/ml/day, and the best performance index of cancer chemotherapy is 25.51 at the end of treatment time. Therefore, the embedded closed-loop controller in this study presents potentially a good upgrade option for clinical drug delivery systems to enhance the performance of intravenous cancer chemotherapy procedures.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126762347","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 : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8303038
M. Al-Hashimi, M. Saleh, O. Abulnaja, Naif Aljabri
Power consumption is one of the most important challenges facing the exascale computing community. Current technology trends will not provide a reasonable power budget for the next generation of exascale supercomputers in near future. Finding new ways to improve power efficiency will become a major challenge to exascale computing researchers. This study was motivated by the idea that some algorithms may have power advantages that need to be identified for exascale systems. In this work, we compared the power efficiency of a basic mergesort to the classically optimized 3-way partitioning quicksort. We measured the variations of average power between the two sorts that result from running different types of workloads for each algorithm. The study showed that empirical evidence suggests a generic mergesort has some power efficiency advantage over the 3-way partitioning quicksort.
{"title":"On the power characteristics of mergesort: An empirical study","authors":"M. Al-Hashimi, M. Saleh, O. Abulnaja, Naif Aljabri","doi":"10.1109/ACCS-PEIT.2017.8303038","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303038","url":null,"abstract":"Power consumption is one of the most important challenges facing the exascale computing community. Current technology trends will not provide a reasonable power budget for the next generation of exascale supercomputers in near future. Finding new ways to improve power efficiency will become a major challenge to exascale computing researchers. This study was motivated by the idea that some algorithms may have power advantages that need to be identified for exascale systems. In this work, we compared the power efficiency of a basic mergesort to the classically optimized 3-way partitioning quicksort. We measured the variations of average power between the two sorts that result from running different types of workloads for each algorithm. The study showed that empirical evidence suggests a generic mergesort has some power efficiency advantage over the 3-way partitioning quicksort.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124099257","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 : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8303022
I. Bélai, Michal Kocur
The paper deals with the design, tuning and analysis of a positional servo drive with PID controller. The paper compares properties of control loop when filtered or non-filtered position feedback signal is used. The tuning of controller is done via pole placement method for required value of IAE (Integral of absolute error). To minimize the position error, the feedforward has been proposed. The properties of presented control structures have been verified by experiments.
{"title":"A positional servo drive with filtered PID control","authors":"I. Bélai, Michal Kocur","doi":"10.1109/ACCS-PEIT.2017.8303022","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303022","url":null,"abstract":"The paper deals with the design, tuning and analysis of a positional servo drive with PID controller. The paper compares properties of control loop when filtered or non-filtered position feedback signal is used. The tuning of controller is done via pole placement method for required value of IAE (Integral of absolute error). To minimize the position error, the feedforward has been proposed. The properties of presented control structures have been verified by experiments.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122665837","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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