Pub Date : 2017-12-01DOI: 10.1109/JEC-ECC.2017.8305803
M. A. Awad, Mustafa ElNainay, M. Abougabal
One of the crucial attributes of bug report is severity. Accurate prediction of bug severity can be a huge contribution towards optimized software maintenance. In this paper, a new model that combines classification techniques based on Customized Cascading Weighted Majority Voting has been proposed. The proposed technique has been evaluated using datasets from open-source projects. The results show that the proposed technique has superior performance compared to other classification techniques.
{"title":"Predicting bug severity using customized weighted majority voting algorithms","authors":"M. A. Awad, Mustafa ElNainay, M. Abougabal","doi":"10.1109/JEC-ECC.2017.8305803","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2017.8305803","url":null,"abstract":"One of the crucial attributes of bug report is severity. Accurate prediction of bug severity can be a huge contribution towards optimized software maintenance. In this paper, a new model that combines classification techniques based on Customized Cascading Weighted Majority Voting has been proposed. The proposed technique has been evaluated using datasets from open-source projects. The results show that the proposed technique has superior performance compared to other classification techniques.","PeriodicalId":406498,"journal":{"name":"2017 Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC)","volume":"315 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134523306","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 : 2017-12-01DOI: 10.1109/JEC-ECC.2017.8305795
B. Samy, I. Adly
Street lighting consumes a substantial amount of energy and improving its efficiency is a significant challenge. A promising approach to enhance the efficiency is through the use of intelligent control systems. Intelligent street lighting utilizing LED-based luminaries are made to be energy efficient through using adaptable/dynamic illumination and around the clock lamp monitoring. In this work, an intelligent LED street lighting solution is proposed based on ZigBee wireless network and using the ZigBee Cluster Library (ZCL) messaging protocol to accelerate the development of the control application meanwhile allowing for Over The Air programming (OTA) of the wireless nodes after deployment. An experimental prototype for the proposed solution was implemented using the ZigBee Cluster Libraries, a sample control application was developed and ZCL functions were tested with the prototype.
街道照明消耗大量能源，提高其效率是一项重大挑战。提高效率的一个有希望的方法是通过使用智能控制系统。利用led灯具的智能街道照明通过使用适应性/动态照明和全天候灯监控来实现节能。本文提出了一种基于ZigBee无线网络的智能LED路灯照明解决方案，并使用ZigBee集群库(ZCL)消息协议来加速控制应用程序的开发，同时允许部署后无线节点的Over the Air编程(OTA)。利用ZigBee集群库实现了该解决方案的实验原型，开发了一个示例控制应用程序，并使用该原型测试了ZCL功能。
{"title":"Wireless street lighting system using ZigBee cluster library","authors":"B. Samy, I. Adly","doi":"10.1109/JEC-ECC.2017.8305795","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2017.8305795","url":null,"abstract":"Street lighting consumes a substantial amount of energy and improving its efficiency is a significant challenge. A promising approach to enhance the efficiency is through the use of intelligent control systems. Intelligent street lighting utilizing LED-based luminaries are made to be energy efficient through using adaptable/dynamic illumination and around the clock lamp monitoring. In this work, an intelligent LED street lighting solution is proposed based on ZigBee wireless network and using the ZigBee Cluster Library (ZCL) messaging protocol to accelerate the development of the control application meanwhile allowing for Over The Air programming (OTA) of the wireless nodes after deployment. An experimental prototype for the proposed solution was implemented using the ZigBee Cluster Libraries, a sample control application was developed and ZCL functions were tested with the prototype.","PeriodicalId":406498,"journal":{"name":"2017 Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133981945","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 : 2017-12-01DOI: 10.1109/JEC-ECC.2017.8305785
A. M. Salem, H. Ahmed, Ehab K. Abouseif, Magdy A. Elkfafy
This paper presents a compact tri-band bandpass filter, targeting the 2.3–2.5 GHz band for WiFi, the 3.5–3.6 GHz band for 4G mobile communications, and the 4.9–5.1 GHz band for wireless local area networks (WLANs). The proposed filter is based on a tri-section stepped impedance resonator (TSSIR) with arbitrary frequency selection through the control of impedance ratios of the TSSIRs. The filter provides a wide stopband, ranging from 6 to 9.75 GHz with a rejection depth more than 20dB. Wide stopband is achieved by introducing T-shaped feed lines both at the input and output of the filter. The amount of out-of-band rejection is more than four times of that at the fundamental frequency. Measurement results are in good agreement with the 3-D Electromagnetic simulations.
{"title":"A highly selective, tri-band BPF using tri-section SIR with wideband harmonic suppression","authors":"A. M. Salem, H. Ahmed, Ehab K. Abouseif, Magdy A. Elkfafy","doi":"10.1109/JEC-ECC.2017.8305785","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2017.8305785","url":null,"abstract":"This paper presents a compact tri-band bandpass filter, targeting the 2.3–2.5 GHz band for WiFi, the 3.5–3.6 GHz band for 4G mobile communications, and the 4.9–5.1 GHz band for wireless local area networks (WLANs). The proposed filter is based on a tri-section stepped impedance resonator (TSSIR) with arbitrary frequency selection through the control of impedance ratios of the TSSIRs. The filter provides a wide stopband, ranging from 6 to 9.75 GHz with a rejection depth more than 20dB. Wide stopband is achieved by introducing T-shaped feed lines both at the input and output of the filter. The amount of out-of-band rejection is more than four times of that at the fundamental frequency. Measurement results are in good agreement with the 3-D Electromagnetic simulations.","PeriodicalId":406498,"journal":{"name":"2017 Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127253934","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 : 2017-12-01DOI: 10.1109/JEC-ECC.2017.8305774
Amr AbdelHadi, M. Allam, S. Ibrahim
This paper represents a wide-band low-power phase interpolator(PI) with high-linearity phase steps designed for Mobile industry Processor Interface(MIPI) standards like Multi-media Physical layer (MPHY) High speed Gear 2 that operates at 3GBps to HS-Gear 4 that operates at 6Gbps. The proposed PI consists of an input current-starved circuit for slew rate control, a core PI with cross coupled and diode connected loads, CML-to-CMOS output circuit, and a PI digital controller. The differential non-linearity(DNL) and integral non-linearity(INL) are within 0.15 LSB and 0.27 LSB respectively, The circuit is implemented in a 28-nm CMOS technology and operates from 1.5 to 6 GHz. The circuit consumes 2.2 mW from 0.9-V supply when operates at 6 GHz.
{"title":"A high-linearity 6-GHz phase interpolator in 28-nm CMOS technology","authors":"Amr AbdelHadi, M. Allam, S. Ibrahim","doi":"10.1109/JEC-ECC.2017.8305774","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2017.8305774","url":null,"abstract":"This paper represents a wide-band low-power phase interpolator(PI) with high-linearity phase steps designed for Mobile industry Processor Interface(MIPI) standards like Multi-media Physical layer (MPHY) High speed Gear 2 that operates at 3GBps to HS-Gear 4 that operates at 6Gbps. The proposed PI consists of an input current-starved circuit for slew rate control, a core PI with cross coupled and diode connected loads, CML-to-CMOS output circuit, and a PI digital controller. The differential non-linearity(DNL) and integral non-linearity(INL) are within 0.15 LSB and 0.27 LSB respectively, The circuit is implemented in a 28-nm CMOS technology and operates from 1.5 to 6 GHz. The circuit consumes 2.2 mW from 0.9-V supply when operates at 6 GHz.","PeriodicalId":406498,"journal":{"name":"2017 Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130852372","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 : 2017-12-01DOI: 10.1109/JEC-ECC.2017.8305787
Rewaa Maher, Emad Tammam, A. Galal, H. Hamed
In this paper the performance of the radiofrequency (RF) rectifier used for energy harvesting is studied under different cases of the input signal. A dual-band RF rectifier operating at 1.8 and 2.45 GHz is designed and compared to a 2.45 GHz single-band rectifier to investigate the effects of the intermodulation interference on the rectifier's efficiency. The single-band rectifier is studied through two cases; single 2.45 GHz source and two combined 2.45 GHz sources. The RF rectifier is simulated and the spectrum of the output is analyzed for the different cases where it is found that the dual-band rectifier is the most suffering from the intermodulation effects. The single-band rectifier is fabricated and its output is measured while a good agreement between the simulation and measurement results is achieved. Then, the output voltage and efficiency are compared for the dual-band rectifier and dual-input single-band rectifier. Obtained results show a better efficiency for the dual-input single-band rectifier than the dual-band rectifier.
{"title":"Study of the intermodulation effects on the efficiency of the RF rectifier used for energy harvesting","authors":"Rewaa Maher, Emad Tammam, A. Galal, H. Hamed","doi":"10.1109/JEC-ECC.2017.8305787","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2017.8305787","url":null,"abstract":"In this paper the performance of the radiofrequency (RF) rectifier used for energy harvesting is studied under different cases of the input signal. A dual-band RF rectifier operating at 1.8 and 2.45 GHz is designed and compared to a 2.45 GHz single-band rectifier to investigate the effects of the intermodulation interference on the rectifier's efficiency. The single-band rectifier is studied through two cases; single 2.45 GHz source and two combined 2.45 GHz sources. The RF rectifier is simulated and the spectrum of the output is analyzed for the different cases where it is found that the dual-band rectifier is the most suffering from the intermodulation effects. The single-band rectifier is fabricated and its output is measured while a good agreement between the simulation and measurement results is achieved. Then, the output voltage and efficiency are compared for the dual-band rectifier and dual-input single-band rectifier. Obtained results show a better efficiency for the dual-input single-band rectifier than the dual-band rectifier.","PeriodicalId":406498,"journal":{"name":"2017 Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126643668","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 : 2017-12-01DOI: 10.1109/JEC-ECC.2017.8305789
George S. Maximous, Abdullah M. El-Gunidy, H. Mostafa, T. Ismail, S. Gabran
Epilepsy is a disorder of the human brain function affecting 1% of the world's population. Automatic epileptic seizure detection is important to help neurologists to interpret the electroencephalogram signal readings, particularly the signals recorded in the ictal or seizure attack, which are more crucial than those recorded in the inter-ictal (between the attacks). Time-frequency (t-f) analysis methods, wavelet transform, and linear discriminant analysis are the most common modalities used for epileptic seizure detection. The main objective of this work is to compare between ten different test cases of the EEG signal detection methods over twenty patients considering the sensitivity, specificity, and the accuracy. The analysis has been conducted in three levels: Firstly, the EEG is filtered by a discrete wavelet transform (DWT); Secondly, five features which are relative energy, fluctuation index, variance, energy and autocorrelation are calculated; and finally, these features are applied as inputs to the support vector machine (SVM) to detect the occurrence of epilepsy. Due to the trade-off between sensitivity and specificity (i.e. as a sensitivity is improved, the specificity is degraded and vice versa), a new technique which is sensitivity-specificity product is proposed in this work. Simulation results on different test cases have shown that the maximum sensitivity-specificity product occurs when only four features are included (i.e. relative energy, fluctuation index, energy, and autocorrelation) and the fifth feature (i.e. the variance) is excluded.
{"title":"A new sensitivity-specificity product-based automatic seizure detection algorithm","authors":"George S. Maximous, Abdullah M. El-Gunidy, H. Mostafa, T. Ismail, S. Gabran","doi":"10.1109/JEC-ECC.2017.8305789","DOIUrl":"https://doi.org/10.1109/JEC-ECC.2017.8305789","url":null,"abstract":"Epilepsy is a disorder of the human brain function affecting 1% of the world's population. Automatic epileptic seizure detection is important to help neurologists to interpret the electroencephalogram signal readings, particularly the signals recorded in the ictal or seizure attack, which are more crucial than those recorded in the inter-ictal (between the attacks). Time-frequency (t-f) analysis methods, wavelet transform, and linear discriminant analysis are the most common modalities used for epileptic seizure detection. The main objective of this work is to compare between ten different test cases of the EEG signal detection methods over twenty patients considering the sensitivity, specificity, and the accuracy. The analysis has been conducted in three levels: Firstly, the EEG is filtered by a discrete wavelet transform (DWT); Secondly, five features which are relative energy, fluctuation index, variance, energy and autocorrelation are calculated; and finally, these features are applied as inputs to the support vector machine (SVM) to detect the occurrence of epilepsy. Due to the trade-off between sensitivity and specificity (i.e. as a sensitivity is improved, the specificity is degraded and vice versa), a new technique which is sensitivity-specificity product is proposed in this work. Simulation results on different test cases have shown that the maximum sensitivity-specificity product occurs when only four features are included (i.e. relative energy, fluctuation index, energy, and autocorrelation) and the fifth feature (i.e. the variance) is excluded.","PeriodicalId":406498,"journal":{"name":"2017 Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115002000","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 : 1900-01-01DOI: 10.1109/jec-ecc.2017.8305802
H. Morsi, M. Youssef, G. Sultan
This paper proposes a new design approach for Intelligent Transportation Systems (ITS) to counter the lone wolf threats. The design uses the existing techniques in ITS based Internet of Things (IoT) and Electroencephalogram (EEG), to detect the irregularity in driver's behavior, which can be categorized into threatened or violated behaviors. In threaten behaviors like deliberate run-over accidents and/or vehicle hijacking, the system will stop the vehicle as soon as possible and inform the security agency to ensure a speed response. In violated behavior like driver drowsiness, the system will alert the driver or inform the responding authorities and stop the vehicle, depending on the level of danger. The proposed system can be attached to vehicles as an embedded system. To minimize the consequences of the vehicle fast stopping, it is proposed to green the next traffic light signs. By applying this system in vehicles, a lot of accidents can be avoided, in particular those caused by lone wolves like deliberate run-over accidents or hijacking of vehicles.
{"title":"Novel design based Internet of Things to counter lone wolf, part B-Berlin attack","authors":"H. Morsi, M. Youssef, G. Sultan","doi":"10.1109/jec-ecc.2017.8305802","DOIUrl":"https://doi.org/10.1109/jec-ecc.2017.8305802","url":null,"abstract":"This paper proposes a new design approach for Intelligent Transportation Systems (ITS) to counter the lone wolf threats. The design uses the existing techniques in ITS based Internet of Things (IoT) and Electroencephalogram (EEG), to detect the irregularity in driver's behavior, which can be categorized into threatened or violated behaviors. In threaten behaviors like deliberate run-over accidents and/or vehicle hijacking, the system will stop the vehicle as soon as possible and inform the security agency to ensure a speed response. In violated behavior like driver drowsiness, the system will alert the driver or inform the responding authorities and stop the vehicle, depending on the level of danger. The proposed system can be attached to vehicles as an embedded system. To minimize the consequences of the vehicle fast stopping, it is proposed to green the next traffic light signs. By applying this system in vehicles, a lot of accidents can be avoided, in particular those caused by lone wolves like deliberate run-over accidents or hijacking of vehicles.","PeriodicalId":406498,"journal":{"name":"2017 Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132497787","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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