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.2017.8303046
M. A. El-Hassan, K. Hussein, A. E. Farahat, K. Awadalla
In this paper the design of shaped beam antenna array for synthetic aperture array applications is presented. The proposed element for such array is an L-probe-fed U-slotted microstrip antenna. This antenna is characterized by a wideband suitable for the SAR imaging systems. The antenna element is analyzed atfirst to find out its characteristics. It has been proved that the proposed element has a bandwidth of 43% in the C-band. The mutual coupling is investigated for two adjacent elements of this type when arranged in the E-plane and again in the H-plane. It has been proved that the coupling in both arrangements is low enough to cause any significant effect on arrays arranged in the E or the H-planes. 20 elements of this antenna are arranged in the E-plane and the excitation of the elements is optimized to produce different desired beam-forms while the separation between the elements is fixed. Multiple patterns including a flat-topped beam (fan-shaped), a cosecant-squared pattern and Isoflux beam pattern have been designed and optimized using particle swarm algorithm. It turned out that this method has produced arrays with radiation patterns quite close to the desired ones and with sufficiently low side lobe levels.
{"title":"Performance assessment of straight and L-shaped probe fed U-slotted patch antenna arrays for SAR applications","authors":"M. A. El-Hassan, K. Hussein, A. E. Farahat, K. Awadalla","doi":"10.1109/ACCS-PEIT.2017.8303046","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303046","url":null,"abstract":"In this paper the design of shaped beam antenna array for synthetic aperture array applications is presented. The proposed element for such array is an L-probe-fed U-slotted microstrip antenna. This antenna is characterized by a wideband suitable for the SAR imaging systems. The antenna element is analyzed atfirst to find out its characteristics. It has been proved that the proposed element has a bandwidth of 43% in the C-band. The mutual coupling is investigated for two adjacent elements of this type when arranged in the E-plane and again in the H-plane. It has been proved that the coupling in both arrangements is low enough to cause any significant effect on arrays arranged in the E or the H-planes. 20 elements of this antenna are arranged in the E-plane and the excitation of the elements is optimized to produce different desired beam-forms while the separation between the elements is fixed. Multiple patterns including a flat-topped beam (fan-shaped), a cosecant-squared pattern and Isoflux beam pattern have been designed and optimized using particle swarm algorithm. It turned out that this method has produced arrays with radiation patterns quite close to the desired ones and with sufficiently low side lobe levels.","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":"7 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":"121404191","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.2017.8303042
Nabila A. Khodeir, N. Wanas, H. Elazhary, Nadia Hegazy
Story problems are of ultimate importance of mathematics. This stems from the fact that they help improve various students' skills including reading the story problem, extracting the embedded mathematical information and the unknown quantity to compute, and applying the correct mathematical operators to solve the problem. Unfortunately, this type of problems may suffer from misinterpretation errors and errors due to overlooking some embedded information regardless of the proficiency of the students in mathematics. This paper introduces the Math Story Problem Tutor (MAST), a Web-based intelligent tutoring system of probability story problems. The focus of this paper is to explain how MAST deals with those problems using the Question Generation Module (QGM) and the Cognitive Module (CM). The QGM is able to generate story problems based on Natural Language Generation (NLG) techniques. This results in known semantic descriptions and linguistic structures of each story problem part. The CM, on the other hand generates the correct answer through interpreting the story problem parts and converting them into a corresponding mathematical model. This helps MAST in tracing the student answer and addressing any misinterpretations or overlooked information using different types of feedback. A satisfaction questionnaire has shown extreme satisfaction of the students and teachers with the capabilities of MAST.
{"title":"Addressing student misinterpretations of story problems in MAST","authors":"Nabila A. Khodeir, N. Wanas, H. Elazhary, Nadia Hegazy","doi":"10.1109/ACCS-PEIT.2017.8303042","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303042","url":null,"abstract":"Story problems are of ultimate importance of mathematics. This stems from the fact that they help improve various students' skills including reading the story problem, extracting the embedded mathematical information and the unknown quantity to compute, and applying the correct mathematical operators to solve the problem. Unfortunately, this type of problems may suffer from misinterpretation errors and errors due to overlooking some embedded information regardless of the proficiency of the students in mathematics. This paper introduces the Math Story Problem Tutor (MAST), a Web-based intelligent tutoring system of probability story problems. The focus of this paper is to explain how MAST deals with those problems using the Question Generation Module (QGM) and the Cognitive Module (CM). The QGM is able to generate story problems based on Natural Language Generation (NLG) techniques. This results in known semantic descriptions and linguistic structures of each story problem part. The CM, on the other hand generates the correct answer through interpreting the story problem parts and converting them into a corresponding mathematical model. This helps MAST in tracing the student answer and addressing any misinterpretations or overlooked information using different types of feedback. A satisfaction questionnaire has shown extreme satisfaction of the students and teachers with the capabilities of MAST.","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":"47 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":"115094954","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.2017.8303000
M. Hindy, R. M. El-sagheer, M. Yasseen
This paper presents simulation and design of Broadband high gain antenna using simplified Metamaterial Transmission Lines (MTLs) wireless and radar applications. Both Gain and radiation efficiency are investigated taking into account the compact size of antenna. Different three-sized SMTL unit cells of different resonant frequencies are merged. The composed structure yields broadband antenna, with high gain and small size. CST microwave studio program used to modeling and simulating the presented antenna, and the simulated results showed the broadband and high gain properties of this antenna.
{"title":"Broadband high gain antenna using simplified MTLs for wireless and radar applications","authors":"M. Hindy, R. M. El-sagheer, M. Yasseen","doi":"10.1109/ACCS-PEIT.2017.8303000","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303000","url":null,"abstract":"This paper presents simulation and design of Broadband high gain antenna using simplified Metamaterial Transmission Lines (MTLs) wireless and radar applications. Both Gain and radiation efficiency are investigated taking into account the compact size of antenna. Different three-sized SMTL unit cells of different resonant frequencies are merged. The composed structure yields broadband antenna, with high gain and small size. CST microwave studio program used to modeling and simulating the presented antenna, and the simulated results showed the broadband and high gain properties of this antenna.","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":"128675588","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.2017.8303055
Ghada A. Abdel Aziz, M. Amin
Switched reluctance motors (SRMs) are used in the industry due to their simple motor design construction, the susceptibility of running at wide speed range, high torque to inertia ratio, low cost, and high reliability. In this paper, the SRM drive system is fed from asymmetric four-phase power converter (APC) using soft switching technique. This paper presents a proposed precise speed controller (PSC) for a four-phase 75 KW 8/6 SRM. The performance of the PSC is evaluated and compared with PI and fuzzy logic (FLC) speed controllers. This comparison is based on the values of the rise time, settling time, overshoot, undershoot, speed error in the steady state, and torque ripples percentage of the three speed controllers. The robustness of the proposed PSC is validated in such cases e.g. mechanical parameter disparities, and external load disturbances. The four-phase SRM responses of motor speed versus speed command, speed error, four-phase currents, SRM reference current, and electromagnetic torque are investigated using MATLAB/SIMULINK.
{"title":"High-precision speed control of four-phase switched reluctance motor fed from asymmetric power converter","authors":"Ghada A. Abdel Aziz, M. Amin","doi":"10.1109/ACCS-PEIT.2017.8303055","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303055","url":null,"abstract":"Switched reluctance motors (SRMs) are used in the industry due to their simple motor design construction, the susceptibility of running at wide speed range, high torque to inertia ratio, low cost, and high reliability. In this paper, the SRM drive system is fed from asymmetric four-phase power converter (APC) using soft switching technique. This paper presents a proposed precise speed controller (PSC) for a four-phase 75 KW 8/6 SRM. The performance of the PSC is evaluated and compared with PI and fuzzy logic (FLC) speed controllers. This comparison is based on the values of the rise time, settling time, overshoot, undershoot, speed error in the steady state, and torque ripples percentage of the three speed controllers. The robustness of the proposed PSC is validated in such cases e.g. mechanical parameter disparities, and external load disturbances. The four-phase SRM responses of motor speed versus speed command, speed error, four-phase currents, SRM reference current, and electromagnetic torque are investigated using MATLAB/SIMULINK.","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":"47 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":"121122096","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.2017.8303023
Waseem W. Saad, A. Hebala, H. Ashour
In this paper, the design and implementation of biodiesel process production unit controlled by a Programmable Logic Controller (PLC) and powered by photovoltaic (PV) is introduced. The main idea here is based on getting the biodiesel as a chemical reaction process of transestrefication offatty oils from wasted used cooking oil. This process requires continuous measurement from different sensors and take long hours to be finished. Hence, implementing a well-designed automated system is essential, while the need for operator supervision is greatly minimized, which in turn permits the labor cost to be reduced and optimizing the repeatability and efficiency of the whole process. The proposed unit utilizes an HMI with different SCADA facilities; hence, the operator can readily and efficiently take real time action on the flow of the process. The required electrical energy of the unit has been designed to be supplied through PV panels, which permits the production of the bio-diesel without the need for any other power source. The overall unit has been tested and found to be very reliable with significant energy efficient operation.
{"title":"Net-zero-energy automated bio-diesel production unit","authors":"Waseem W. Saad, A. Hebala, H. Ashour","doi":"10.1109/ACCS-PEIT.2017.8303023","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303023","url":null,"abstract":"In this paper, the design and implementation of biodiesel process production unit controlled by a Programmable Logic Controller (PLC) and powered by photovoltaic (PV) is introduced. The main idea here is based on getting the biodiesel as a chemical reaction process of transestrefication offatty oils from wasted used cooking oil. This process requires continuous measurement from different sensors and take long hours to be finished. Hence, implementing a well-designed automated system is essential, while the need for operator supervision is greatly minimized, which in turn permits the labor cost to be reduced and optimizing the repeatability and efficiency of the whole process. The proposed unit utilizes an HMI with different SCADA facilities; hence, the operator can readily and efficiently take real time action on the flow of the process. The required electrical energy of the unit has been designed to be supplied through PV panels, which permits the production of the bio-diesel without the need for any other power source. The overall unit has been tested and found to be very reliable with significant energy efficient operation.","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":"121316007","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.2017.8303044
Mohamed Shehata, H. Mostafa
Free space optical (FSO) communication systems offer numerous advantages, such as their flexibility in redeployment and high data rates, as compared to optical fiber-based communications. However, these systems are susceptible to a wide range of fading phenomena due to the extremely random fluctuations in the atmospheric conditions. In this letter, a simple semi-deterministic approach is proposed to calculate the average bit error probability (ABEP) performance of FSO systems operating in arbitrary fading conditions, considering the intensity modulation — direct detection (IM/DD) on-off keying (OOK) modulation scheme.
{"title":"A simplified approach for error rate analysis in realistic free space optical fading channels","authors":"Mohamed Shehata, H. Mostafa","doi":"10.1109/ACCS-PEIT.2017.8303044","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303044","url":null,"abstract":"Free space optical (FSO) communication systems offer numerous advantages, such as their flexibility in redeployment and high data rates, as compared to optical fiber-based communications. However, these systems are susceptible to a wide range of fading phenomena due to the extremely random fluctuations in the atmospheric conditions. In this letter, a simple semi-deterministic approach is proposed to calculate the average bit error probability (ABEP) performance of FSO systems operating in arbitrary fading conditions, considering the intensity modulation — direct detection (IM/DD) on-off keying (OOK) modulation scheme.","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":"131361264","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.2017.8303043
S. M. Eid, N. Wanas
Automated Essay Scoring (AES) is the solution to a tedious and time consuming activity of manually scoring students' essays. AES is usually treated as a supervised machine learning problem where feature extraction plays an important role. In an attempt to investigate the importance of lexical features in AES systems, a new extended feature set is developed by combining popularly known features. The combinedfeature set contains 22 features that captures five different aspects of writing qualities. The importance of each feature in the combined feature set is tested by eliminating each feature separately. It was found that using the number of nouns in the essay slightly degrades the AES system performance. The significance of the combined feature set is compared against three state-of-the-art AES commercial systems and its performance was found comparable.
{"title":"Automated essay scoring linguistic feature: Comparative study","authors":"S. M. Eid, N. Wanas","doi":"10.1109/ACCS-PEIT.2017.8303043","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303043","url":null,"abstract":"Automated Essay Scoring (AES) is the solution to a tedious and time consuming activity of manually scoring students' essays. AES is usually treated as a supervised machine learning problem where feature extraction plays an important role. In an attempt to investigate the importance of lexical features in AES systems, a new extended feature set is developed by combining popularly known features. The combinedfeature set contains 22 features that captures five different aspects of writing qualities. The importance of each feature in the combined feature set is tested by eliminating each feature separately. It was found that using the number of nouns in the essay slightly degrades the AES system performance. The significance of the combined feature set is compared against three state-of-the-art AES commercial systems and its performance was found comparable.","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":"36 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":"122872108","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.2017.8303052
Ahmed M. Yousef, Yasser M. K. Omar, E. Fakharany
Synthesizing realistic images has been a challenge in machine learning, due to images being complex and high dimensional, thus making them hard to model well. Building on the recent progress made in both, generative multi adversarial nets (GMAN) and conditional generative adversarial nets (CGAN), this research aims at introducing a new method to improve image synthesis in generative adversarial networks (GAN). The research benefits from combining the best of both techniques to build a model (Hybrid-GAN) that produces higher images quality, which is hardly distinguished from real images. Furthermore, this model significantly enhances log-likelihood of test data under the conditional distributions. To validate the results, we have conducted a detailed comparison between images generated by our new model, Hybrid-GAN and those images produced by standard GANs. We execute the new model using MNIST dataset and demonstrated the results obtained from the generating task.
{"title":"Deep generative image model using a hybrid system of generative adversarial nets (GANs)","authors":"Ahmed M. Yousef, Yasser M. K. Omar, E. Fakharany","doi":"10.1109/ACCS-PEIT.2017.8303052","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8303052","url":null,"abstract":"Synthesizing realistic images has been a challenge in machine learning, due to images being complex and high dimensional, thus making them hard to model well. Building on the recent progress made in both, generative multi adversarial nets (GMAN) and conditional generative adversarial nets (CGAN), this research aims at introducing a new method to improve image synthesis in generative adversarial networks (GAN). The research benefits from combining the best of both techniques to build a model (Hybrid-GAN) that produces higher images quality, which is hardly distinguished from real images. Furthermore, this model significantly enhances log-likelihood of test data under the conditional distributions. To validate the results, we have conducted a detailed comparison between images generated by our new model, Hybrid-GAN and those images produced by standard GANs. We execute the new model using MNIST dataset and demonstrated the results obtained from the generating task.","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":"3 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":"126689107","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.2017.8303025
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.2017.8302999
Youssef A. Ghobashy, M. A. Geliel, M. E. Sengaby
In industrial processes, all available resources, are selected to improve the process performance. However, in critical processes, any kind of faults may lead to serious consequences. One of the main techniques to enhance process reliability is to early detect and isolate faults. Artificial Neural Networks (ANN) technique is a good tool to detect and isolate several types of faults in industrial systems. Fault detection and isolation based on ANN is proposed in this paper. This technique is implemented and tested on Three-Tank system as a bench mark. Moreover different fault scenarios are tested.
{"title":"Industrial application of fault detection and fault isolation using artificial neural networks","authors":"Youssef A. Ghobashy, M. A. Geliel, M. E. Sengaby","doi":"10.1109/ACCS-PEIT.2017.8302999","DOIUrl":"https://doi.org/10.1109/ACCS-PEIT.2017.8302999","url":null,"abstract":"In industrial processes, all available resources, are selected to improve the process performance. However, in critical processes, any kind of faults may lead to serious consequences. One of the main techniques to enhance process reliability is to early detect and isolate faults. Artificial Neural Networks (ANN) technique is a good tool to detect and isolate several types of faults in industrial systems. Fault detection and isolation based on ANN is proposed in this paper. This technique is implemented and tested on Three-Tank system as a bench mark. Moreover different fault scenarios are tested.","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":"3 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":"127391512","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：