Pub Date : 2015-12-21DOI: 10.1109/AEECT.2015.7360553
Mohammed Sultan Mohammed, Gheith A. Abandah
Multicore processor architectures have been gaining increasing popularity in recent years. However, many available applications cannot take full advantage of these architectures. Therefore, many researchers have developed several characterization techniques to help programmers to understand the behavior of these applications on multicore platforms and to tune them for better efficiency. Characterizing the communication characteristics is important to help programmers to avoid the expensive communication patterns. This paper proposes an on-the-fly, configuration-independent characterization approach for characterizing the inherent communication characteristics of multicore applications. This approach is fast because it does not depend on the details of any specific machine configuration and does not require repeating the characterization for every target configuration. It just keeps track of memory accesses and the cores that perform these accesses through piping memory traces on-the-fly to the analysis tool. We applied this approach to characterize eight applications drawn from SPLASH-2 and PARSEC benchmark suites. This paper presents the communication characteristics of these applications including communication patterns, sharing degree, invalidation degree, and communication locality. The results indicate that SPLASH-2 has higher communication rates than PARSEC and these rates generally increase as the number of used threads increases. Most of the sharing and invalidation occurs in small degrees. However, two of SPLASH-2 applications have significant fraction of communication with high sharing degrees involving four or more threads. Most of the applications have some uniform communication component and the initial thread is generally involved in more communication compared to the other threads.
{"title":"Communication characteristics of parallel shared-memory multicore applications","authors":"Mohammed Sultan Mohammed, Gheith A. Abandah","doi":"10.1109/AEECT.2015.7360553","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360553","url":null,"abstract":"Multicore processor architectures have been gaining increasing popularity in recent years. However, many available applications cannot take full advantage of these architectures. Therefore, many researchers have developed several characterization techniques to help programmers to understand the behavior of these applications on multicore platforms and to tune them for better efficiency. Characterizing the communication characteristics is important to help programmers to avoid the expensive communication patterns. This paper proposes an on-the-fly, configuration-independent characterization approach for characterizing the inherent communication characteristics of multicore applications. This approach is fast because it does not depend on the details of any specific machine configuration and does not require repeating the characterization for every target configuration. It just keeps track of memory accesses and the cores that perform these accesses through piping memory traces on-the-fly to the analysis tool. We applied this approach to characterize eight applications drawn from SPLASH-2 and PARSEC benchmark suites. This paper presents the communication characteristics of these applications including communication patterns, sharing degree, invalidation degree, and communication locality. The results indicate that SPLASH-2 has higher communication rates than PARSEC and these rates generally increase as the number of used threads increases. Most of the sharing and invalidation occurs in small degrees. However, two of SPLASH-2 applications have significant fraction of communication with high sharing degrees involving four or more threads. Most of the applications have some uniform communication component and the initial thread is generally involved in more communication compared to the other threads.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124591289","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 : 2015-12-21DOI: 10.1109/AEECT.2015.7360535
U. Johar, R. Hussain, A. Muqaibel, Wajih Abu-Saud, M. Sharawi
This paper studies the performance of three frequency reconfigurable multiple input multiple output (MIMO) antennas in an indoor scenario using the angle of arrival (AoA) as a comparative parameter. The first antenna is a 2-element PIN diode based reconfigurable MIMO modified printed inverted F-shape antenna. The second is a 2-element meandered line, multi-band, planar inverted F-shape frequency agile MIMO antenna and the third is a 4-element meandered dual mode meandered F-shape reconfigurable MIMO antenna. Their performance was investigated in the well-known frequency bands of GSM/LTE 900 MHz, PCS 1800MHz, WLAN 2450MHz and few other bands. Wireless InSite program was utilized to model the complete indoors environment and building structure and to simulate the direction finding system and calculate the angle of arrival of these scenarios.
{"title":"An indoors AoA study for mobile phones utilizing frequency reconfigurable MIMO antennas","authors":"U. Johar, R. Hussain, A. Muqaibel, Wajih Abu-Saud, M. Sharawi","doi":"10.1109/AEECT.2015.7360535","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360535","url":null,"abstract":"This paper studies the performance of three frequency reconfigurable multiple input multiple output (MIMO) antennas in an indoor scenario using the angle of arrival (AoA) as a comparative parameter. The first antenna is a 2-element PIN diode based reconfigurable MIMO modified printed inverted F-shape antenna. The second is a 2-element meandered line, multi-band, planar inverted F-shape frequency agile MIMO antenna and the third is a 4-element meandered dual mode meandered F-shape reconfigurable MIMO antenna. Their performance was investigated in the well-known frequency bands of GSM/LTE 900 MHz, PCS 1800MHz, WLAN 2450MHz and few other bands. Wireless InSite program was utilized to model the complete indoors environment and building structure and to simulate the direction finding system and calculate the angle of arrival of these scenarios.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116061507","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 : 2015-12-21DOI: 10.1109/AEECT.2015.7360542
Ali Almohammedi, M. Deriche
This paper presents a powerful performance and convergence speed of Variable Step-Size Transform Domain Incremental/Diffusion Least Mean Square (VSS-TD-I/D-LMS). It modifies and extends several already existing algorithms of VSS-LMS and VSS-TD-LMS to wireless sensor adaptive networks. The effect of transform domain along with power normalization plays a rule in reduce eigenvalue spread of input autocorrelation and whitening the highly correlated process. In ILMS, each node sensor is allowed to share its estimate with a direct neighbor while in DLMS each node update its estimate a long with a group of neighbors. Simulation results are shown that the performance improvement of cooperative fashion has substantial and favorable convergence speed. Simulation results are shown the performance improvement of cooperative fashion in convergence speed.
{"title":"Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks","authors":"Ali Almohammedi, M. Deriche","doi":"10.1109/AEECT.2015.7360542","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360542","url":null,"abstract":"This paper presents a powerful performance and convergence speed of Variable Step-Size Transform Domain Incremental/Diffusion Least Mean Square (VSS-TD-I/D-LMS). It modifies and extends several already existing algorithms of VSS-LMS and VSS-TD-LMS to wireless sensor adaptive networks. The effect of transform domain along with power normalization plays a rule in reduce eigenvalue spread of input autocorrelation and whitening the highly correlated process. In ILMS, each node sensor is allowed to share its estimate with a direct neighbor while in DLMS each node update its estimate a long with a group of neighbors. Simulation results are shown that the performance improvement of cooperative fashion has substantial and favorable convergence speed. Simulation results are shown the performance improvement of cooperative fashion in convergence speed.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123466396","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 : 2015-12-21DOI: 10.1109/AEECT.2015.7360536
Ahmed Abu-Khadrah, Zahriladha Zakaria, M. Othman, M. Zin
Nowadays, there is an increase in the use of real time applications in public locations through wireless networks. Enhanced Distributed Channel Access protocol was issued to support quality of service for the real time applications. It came to overcome the lack in Distributed Coordination Function protocol in order to support quality of service. In this paper, Markov chain model is designed to analyze Enhanced Distributed Channel Access protocol under saturation and non-saturation. Our Markov chain model is able to calculate the throughput for uplink and downlink separately. Through the analysis, the access point is considered as the bottleneck of the wireless network, and affects supporting more real time applications users negatively. In addition, the analysis presents the effect of changing the value of contention window minimum on the throughput of the network.
{"title":"Analysis of Enhanced Distributed Channel Access protocol under non-saturation","authors":"Ahmed Abu-Khadrah, Zahriladha Zakaria, M. Othman, M. Zin","doi":"10.1109/AEECT.2015.7360536","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360536","url":null,"abstract":"Nowadays, there is an increase in the use of real time applications in public locations through wireless networks. Enhanced Distributed Channel Access protocol was issued to support quality of service for the real time applications. It came to overcome the lack in Distributed Coordination Function protocol in order to support quality of service. In this paper, Markov chain model is designed to analyze Enhanced Distributed Channel Access protocol under saturation and non-saturation. Our Markov chain model is able to calculate the throughput for uplink and downlink separately. Through the analysis, the access point is considered as the bottleneck of the wireless network, and affects supporting more real time applications users negatively. In addition, the analysis presents the effect of changing the value of contention window minimum on the throughput of the network.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117158998","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 : 2015-12-21DOI: 10.1109/AEECT.2015.7360572
M. S. Azmi, Nur Atikah Arbain, A. Muda, Z. Abas, Zulkiflee Muslim
Geometry features especially triangle has been widely used in face, fingerprint, vehicle detection and digit recognition. Features from the triangle are used to generate useful features for classification processed. Recently, triangle features used in digit recognition has adopted angle as part of features. This has influenced accuracy due to big gap between angle values and other feature values such as ratio and gradient of sides. To overcome this issue, data normalization can be used to address the issue. Experiments have been made using existing normalization techniques such as Z-score, Minimax and libSVM scale function. Experiments have been conducted using Z-Score and libSVM scale function, but results of classification are worst compared to triangle features without normalization. Thus, the results of classification can be improved by proposed a new technique of normalization based on nature of triangle geometry. In this paper, we have proposed a new normalization technique by adopting the nature of triangle geometry. Datasets HODA, MNIST, IFHCDB and BANGLA digit have been chosen to extract triangle features. Then, we will apply normalization on the extracted features before classify them by using Support Vector Machine. The results shows normalization by adapting the nature of triangle geometry gives better result compared to other techniques. The proposed normalization technique only applies to Cartesian Plane Zone that contributes 45 features. The benchmarking for other researchers should refer to our 25 zones that give 225 features of triangle geometry.
{"title":"Data normalization for triangle features by adapting triangle nature for better classification","authors":"M. S. Azmi, Nur Atikah Arbain, A. Muda, Z. Abas, Zulkiflee Muslim","doi":"10.1109/AEECT.2015.7360572","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360572","url":null,"abstract":"Geometry features especially triangle has been widely used in face, fingerprint, vehicle detection and digit recognition. Features from the triangle are used to generate useful features for classification processed. Recently, triangle features used in digit recognition has adopted angle as part of features. This has influenced accuracy due to big gap between angle values and other feature values such as ratio and gradient of sides. To overcome this issue, data normalization can be used to address the issue. Experiments have been made using existing normalization techniques such as Z-score, Minimax and libSVM scale function. Experiments have been conducted using Z-Score and libSVM scale function, but results of classification are worst compared to triangle features without normalization. Thus, the results of classification can be improved by proposed a new technique of normalization based on nature of triangle geometry. In this paper, we have proposed a new normalization technique by adopting the nature of triangle geometry. Datasets HODA, MNIST, IFHCDB and BANGLA digit have been chosen to extract triangle features. Then, we will apply normalization on the extracted features before classify them by using Support Vector Machine. The results shows normalization by adapting the nature of triangle geometry gives better result compared to other techniques. The proposed normalization technique only applies to Cartesian Plane Zone that contributes 45 features. The benchmarking for other researchers should refer to our 25 zones that give 225 features of triangle geometry.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115060637","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 : 2015-12-21DOI: 10.1109/AEECT.2015.7360540
Enas N. Jaara, I. Jafar
Reversible data hiding (RDH) is a special class of steganography that can not only embed secret data into images, but also can restore the original images after secret data are extracted. Prediction-based techniques constitute an important class of reversible data hiding methods. However, most prediction-based RDH rely on the use of a single predictor to compute predictions that are used for data embedding. This may restrict the embedding capacity and image quality. The objective of this paper is to improve the efficiency of prediction-based reversible data hiding algorithms by proposing an algorithm that employs multiple predictors to take advantage of their varying characteristics and prediction accuracy in order to increase the embedding capacity. The proposed algorithm is based on the efficient modification of prediction errors (MPE) algorithm; however, it incorporates two predictors and uses only one bin of the prediction errors histogram for data embedding. The performance evaluation of the proposed algorithm showed its ability to increase the embedding capacity with competitive image quality without the need for additional overhead information.
{"title":"Reversible data hiding based on histogram shifting of prediction errors using two predictors","authors":"Enas N. Jaara, I. Jafar","doi":"10.1109/AEECT.2015.7360540","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360540","url":null,"abstract":"Reversible data hiding (RDH) is a special class of steganography that can not only embed secret data into images, but also can restore the original images after secret data are extracted. Prediction-based techniques constitute an important class of reversible data hiding methods. However, most prediction-based RDH rely on the use of a single predictor to compute predictions that are used for data embedding. This may restrict the embedding capacity and image quality. The objective of this paper is to improve the efficiency of prediction-based reversible data hiding algorithms by proposing an algorithm that employs multiple predictors to take advantage of their varying characteristics and prediction accuracy in order to increase the embedding capacity. The proposed algorithm is based on the efficient modification of prediction errors (MPE) algorithm; however, it incorporates two predictors and uses only one bin of the prediction errors histogram for data embedding. The performance evaluation of the proposed algorithm showed its ability to increase the embedding capacity with competitive image quality without the need for additional overhead information.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127294946","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 : 2015-12-21DOI: 10.1109/AEECT.2015.7360529
Q. Al-Jubouri, W. Al-Nuaimy, M. Al-Taee, J. L. Luna, L. Sneddon
Zebrafish (Danio rerio) is accepted as an efficient model to aid in research over a broad range of human diseases and drug discovery. However, obtaining evidences of pain perception similarity between adults and larvae is still a considerable scientific challenge. This paper presents an automated test-bed for electrical stimulation and physical activity monitoring of zebrafish larvae. It comprises of infrared digital camera and 25 test arenas along with the required software and hardware circuitry. Unlike existing systems, the developed system is fully automatic and does not require any manual adjustments. In addition, it is capable of estimating and monitoring physical activity of multiple larvae at various levels of painful stimulation. Performance of the developed testbed is assessed experimentally using various stimulation levels for numerous test batches of zebrafish larvae. The obtained results demonstrated accurate tracking and monitoring of multiple larvae responses for various levels of painful stimulation.
{"title":"Automated electrical stimulation and physical activity monitoring of zebrafish larvae","authors":"Q. Al-Jubouri, W. Al-Nuaimy, M. Al-Taee, J. L. Luna, L. Sneddon","doi":"10.1109/AEECT.2015.7360529","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360529","url":null,"abstract":"Zebrafish (Danio rerio) is accepted as an efficient model to aid in research over a broad range of human diseases and drug discovery. However, obtaining evidences of pain perception similarity between adults and larvae is still a considerable scientific challenge. This paper presents an automated test-bed for electrical stimulation and physical activity monitoring of zebrafish larvae. It comprises of infrared digital camera and 25 test arenas along with the required software and hardware circuitry. Unlike existing systems, the developed system is fully automatic and does not require any manual adjustments. In addition, it is capable of estimating and monitoring physical activity of multiple larvae at various levels of painful stimulation. Performance of the developed testbed is assessed experimentally using various stimulation levels for numerous test batches of zebrafish larvae. The obtained results demonstrated accurate tracking and monitoring of multiple larvae responses for various levels of painful stimulation.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128878016","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 : 2015-12-21DOI: 10.5455/JJCIT.71-1450162922
R. Hussain, A. Muqaibel, Wajih A. Abu-Al-Saud, M. Sharawi
In this paper, a low complexity microwave based direction finding (DF) system is presented. The proposed system consists of single six-port (SP) circuit integrated with a reconfigurable multiple-input-multiple-output (MIMO) antenna system. The proposed design is a complete integrated solution with DF capabilities for cognitive radio platforms. The design is suitable to be used in compact wireless handheld and mobile communication devices. The SP circuit covers a wide frequency band (1.68~2.25 GHz) while the reconfigurable MIMO antenna system cover several frequency bands between 0.7 GHz to 3 GHz. The fabricated integrated system achieves ±16° accuracy in its direction of arrival estimates.
{"title":"A low complexity direction finding system based on a six-port integrated MIMO antenna system","authors":"R. Hussain, A. Muqaibel, Wajih A. Abu-Al-Saud, M. Sharawi","doi":"10.5455/JJCIT.71-1450162922","DOIUrl":"https://doi.org/10.5455/JJCIT.71-1450162922","url":null,"abstract":"In this paper, a low complexity microwave based direction finding (DF) system is presented. The proposed system consists of single six-port (SP) circuit integrated with a reconfigurable multiple-input-multiple-output (MIMO) antenna system. The proposed design is a complete integrated solution with DF capabilities for cognitive radio platforms. The design is suitable to be used in compact wireless handheld and mobile communication devices. The SP circuit covers a wide frequency band (1.68~2.25 GHz) while the reconfigurable MIMO antenna system cover several frequency bands between 0.7 GHz to 3 GHz. The fabricated integrated system achieves ±16° accuracy in its direction of arrival estimates.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122312043","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 : 2015-12-21DOI: 10.1109/AEECT.2015.7360564
S. Fanshawe, A. Al-Habaibeh, B. Shakmak
The increase in energy prices and the demand to reduce carbon emission is attracting the attention to the implementation of diverse heating technologies such as heat pumps, solar energy, gas boilers, CHP and electric heaters. Heating applications for integrated technologies include district heating, domestic small scale applications and commercial large scale buildings. Thermal storage is likely to become key to energy efficient heating. A stratified hot water tank will play an important role in the integration of several heating technologies that operate efficiently at different level of temperatures with reduced implementation cost. This paper describes the concept and the assessment of the `Water Snake', a novel low cost concept of a stratified hot water tank. The results show that the new concept could provide efficient stratification at a very low cost using this invention.
{"title":"An innovative design and evaluation of a stratified hot water storage system - the Water Snake","authors":"S. Fanshawe, A. Al-Habaibeh, B. Shakmak","doi":"10.1109/AEECT.2015.7360564","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360564","url":null,"abstract":"The increase in energy prices and the demand to reduce carbon emission is attracting the attention to the implementation of diverse heating technologies such as heat pumps, solar energy, gas boilers, CHP and electric heaters. Heating applications for integrated technologies include district heating, domestic small scale applications and commercial large scale buildings. Thermal storage is likely to become key to energy efficient heating. A stratified hot water tank will play an important role in the integration of several heating technologies that operate efficiently at different level of temperatures with reduced implementation cost. This paper describes the concept and the assessment of the `Water Snake', a novel low cost concept of a stratified hot water tank. The results show that the new concept could provide efficient stratification at a very low cost using this invention.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127984395","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 introduces a system based on image processing to obtain efficiently and accurately reading of the electricity digital meter. In this system the back camera of the mobile phones is used to acquire the image of the electricity meter. The system then applies a sequence of image processing functions to automatically extract and recognize the digits of the meter reading image. This image goes through three main stages: preprocessing which ends up with cropping the numeric reading area, segmentation of individual digits using horizontal and vertical scanning of the cropped numeric area, and recognition of the reading by comparing each segmented digit with the digits templates. The proposed system is implemented using Android Studio software with openCV library and has been tested on 21 images of electric meters captured by Smartphone camera in Saudi Arabia, and results shows a recognition with the accuracy rate of 96,49% (per number digit) and 85.71% accuracy rate for the electricity meter readings. The proposed system will be used in the future to develop a mobile application that could be used by the electricity company employees to facilitate the reading process.
{"title":"Automatic electricity meter reading based on image processing","authors":"Lamiaa A. Elrefaei, Asrar Bajaber, Sumayyah Natheir, Nada AbuSanab, Marwa Bazi","doi":"10.1109/AEECT.2015.7360571","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360571","url":null,"abstract":"This paper introduces a system based on image processing to obtain efficiently and accurately reading of the electricity digital meter. In this system the back camera of the mobile phones is used to acquire the image of the electricity meter. The system then applies a sequence of image processing functions to automatically extract and recognize the digits of the meter reading image. This image goes through three main stages: preprocessing which ends up with cropping the numeric reading area, segmentation of individual digits using horizontal and vertical scanning of the cropped numeric area, and recognition of the reading by comparing each segmented digit with the digits templates. The proposed system is implemented using Android Studio software with openCV library and has been tested on 21 images of electric meters captured by Smartphone camera in Saudi Arabia, and results shows a recognition with the accuracy rate of 96,49% (per number digit) and 85.71% accuracy rate for the electricity meter readings. The proposed system will be used in the future to develop a mobile application that could be used by the electricity company employees to facilitate the reading process.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130059978","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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