Pub Date : 2015-12-21DOI: 10.1109/AEECT.2015.7360592
Dua'a Al-Hajjar, A. Z. Syed
As digital marketing is becoming more popular, the number of customer views on brands is increasing rapidly. This makes it harder for companies to assess their brand image or digitally market their products on the web. We present a lexicon-based approach to extracting sentiment and emotion from tweets for digital marketing purposes. We collect ten thousand tweets related to ten technology brands: Apple, Google, Microsoft, Samsung, GE, IBM, Intel, Facebook, Oracle and HP. We perform sentiment analysis using SentiWordNet while we detect emotions using the NRC Hashtag Emotion Lexicon. We compare and combine the scores obtained from the two lexicons into one result per tweet. We describe the execution process of our experiment and show that the accuracy of the combined approach of sentiment and emotion analysis is enhanced over the independent approaches of sentiment analysis or emotion analysis.
{"title":"Applying sentiment and emotion analysis on brand tweets for digital marketing","authors":"Dua'a Al-Hajjar, A. Z. Syed","doi":"10.1109/AEECT.2015.7360592","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360592","url":null,"abstract":"As digital marketing is becoming more popular, the number of customer views on brands is increasing rapidly. This makes it harder for companies to assess their brand image or digitally market their products on the web. We present a lexicon-based approach to extracting sentiment and emotion from tweets for digital marketing purposes. We collect ten thousand tweets related to ten technology brands: Apple, Google, Microsoft, Samsung, GE, IBM, Intel, Facebook, Oracle and HP. We perform sentiment analysis using SentiWordNet while we detect emotions using the NRC Hashtag Emotion Lexicon. We compare and combine the scores obtained from the two lexicons into one result per tweet. We describe the execution process of our experiment and show that the accuracy of the combined approach of sentiment and emotion analysis is enhanced over the independent approaches of sentiment analysis or emotion analysis.","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":"133700909","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.2015.7360552
Hamad A. Al-Korbi, Ali Al-Ataby, M. Al-Taee, W. Al-Nuaimy
Steganography can be defined as the art and science of concealing private data within a carrier that could be a video, an image, an audio or a text that acts as a cover medium. Many steganography techniques exist; each has its own advantages and limitations. Capacity, robustness and the overall level of security are among the main factors to assess the performance of steganography algorithms. Also, the level of the stego-image distortion should be acceptable This paper aims at proposing a high capacity and efficient steganography technique, where binary images, color images, and large text files can be all concealed within a single cover image at the same time using Haar Wavelet transform. A high capacity of about 99% has been achieved using the proposed algorithm, with low mean square error (MSE) and high power signal-to-noise ratio (PSNR). This algorithm is developed with the aid of MATLAB environment. The obtained results from the proposed algorithm have been promising in terms of efficiency, performance, and capacity.
{"title":"High-capacity image steganography based on Haar DWT for hiding miscellaneous data","authors":"Hamad A. Al-Korbi, Ali Al-Ataby, M. Al-Taee, W. Al-Nuaimy","doi":"10.1109/AEECT.2015.7360552","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360552","url":null,"abstract":"Steganography can be defined as the art and science of concealing private data within a carrier that could be a video, an image, an audio or a text that acts as a cover medium. Many steganography techniques exist; each has its own advantages and limitations. Capacity, robustness and the overall level of security are among the main factors to assess the performance of steganography algorithms. Also, the level of the stego-image distortion should be acceptable This paper aims at proposing a high capacity and efficient steganography technique, where binary images, color images, and large text files can be all concealed within a single cover image at the same time using Haar Wavelet transform. A high capacity of about 99% has been achieved using the proposed algorithm, with low mean square error (MSE) and high power signal-to-noise ratio (PSNR). This algorithm is developed with the aid of MATLAB environment. The obtained results from the proposed algorithm have been promising in terms of efficiency, performance, and capacity.","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":"123089520","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.2015.7360550
M. Aloqaily, B. Kantarci, H. Mouftah
Cloud computing and Vehicular Communications are profoundly emerging fields towards realization of smart cities. While cloud computing is stage of development, vehicular cloud computing combines the benefits of Mobile Cloud Computing (MCC) and vehicular communications. Recent studies expect that vehicular cloud computing will be the gateway to the future of transportation systems. However, the development process still reveal on several issues and challenges that need to be carefully addressed in such environment. Privacy, service cost and provisioning delay are identified as the most crucial challenges to be addressed. State of the art includes several proposals to address these issues. In this position paper, we will gather and present a comprehensive study of vehicular cloud computing architecture, applications, and approaches. More importantly, we will discuss the current possible services provisioning solutions with their drawbacks, then, we will provide a thorough discussion on the benefits of using the concept of Quality of Experience (QoE) in such environment.
{"title":"Vehicular clouds: State of the art, challenges and future directions","authors":"M. Aloqaily, B. Kantarci, H. Mouftah","doi":"10.1109/AEECT.2015.7360550","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360550","url":null,"abstract":"Cloud computing and Vehicular Communications are profoundly emerging fields towards realization of smart cities. While cloud computing is stage of development, vehicular cloud computing combines the benefits of Mobile Cloud Computing (MCC) and vehicular communications. Recent studies expect that vehicular cloud computing will be the gateway to the future of transportation systems. However, the development process still reveal on several issues and challenges that need to be carefully addressed in such environment. Privacy, service cost and provisioning delay are identified as the most crucial challenges to be addressed. State of the art includes several proposals to address these issues. In this position paper, we will gather and present a comprehensive study of vehicular cloud computing architecture, applications, and approaches. More importantly, we will discuss the current possible services provisioning solutions with their drawbacks, then, we will provide a thorough discussion on the benefits of using the concept of Quality of Experience (QoE) in such environment.","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":"123874046","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.2015.7360533
Shaimaa Naser, N. Dib
In this paper, the design and analysis of microstrip-fed low-profile, compact ultra-wideband (UWB) monopole antenna with its dual diversity multiple-input multiple-output (MIMO) configuration and two band-notches characteristics are carried out. The antenna is mounted on a low cost FR-4 substrate with dimensions of 38×60×1.6 mm3, and relative permittivity of 4.4. The original shape of the single antenna element is circular with radius of 11.5 mm, and then a sector is removed from the patch (making it a Pacman-shaped antenna) to improve the impedance bandwidth. The proposed antenna provides an impedance bandwidth between 2.9-15 GHz with better than 10 dB return loss and isolation less than -17 dB. Additionally, the antenna can reject the interferences from WiMAX (3.5 GHz center frequency) and WLAN (5.5 GHz center frequency).
{"title":"A compact printed UWB Pacman-shaped MIMO antenna with two frequency rejection bands","authors":"Shaimaa Naser, N. Dib","doi":"10.1109/AEECT.2015.7360533","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360533","url":null,"abstract":"In this paper, the design and analysis of microstrip-fed low-profile, compact ultra-wideband (UWB) monopole antenna with its dual diversity multiple-input multiple-output (MIMO) configuration and two band-notches characteristics are carried out. The antenna is mounted on a low cost FR-4 substrate with dimensions of 38×60×1.6 mm3, and relative permittivity of 4.4. The original shape of the single antenna element is circular with radius of 11.5 mm, and then a sector is removed from the patch (making it a Pacman-shaped antenna) to improve the impedance bandwidth. The proposed antenna provides an impedance bandwidth between 2.9-15 GHz with better than 10 dB return loss and isolation less than -17 dB. Additionally, the antenna can reject the interferences from WiMAX (3.5 GHz center frequency) and WLAN (5.5 GHz center frequency).","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":"122494880","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.2015.7360591
P. Mukherjee, B. Jansen
The integration of social media technologies with second screen devices facilitates the social interaction concerning online broadcasted media events that we refer to as the social soundtrack. For this research, we assess the change of Super Bowl 2015 related conversations on various social media platforms, namely Twitter, Instagram and Tumblr via categories (commercials, musicals and game) for three phases (Pre, During, and Post). We execute statistical analysis on more than 3,000,000, 800,000 and 50,000 comments from Twitter, Instagram and Tumblr, respectively. We classify the principal phase and category of interaction across all three social media platforms. We additionally investigate the major changes in second screen conservations within the social soundtrack across the categories and phases on all three social network platforms. The research results show that phase-category relationship exists for all three social media platforms. The results find the During phase as the predominant one for all three categories on social media platforms, with the exception of Twitter. The research results are important in identifying the influence of second screens on social soundtrack conversations in terms of sharing of information.
{"title":"Analyzing the social soundtrack from second screens before, during, and after Real-life events","authors":"P. Mukherjee, B. Jansen","doi":"10.1109/AEECT.2015.7360591","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360591","url":null,"abstract":"The integration of social media technologies with second screen devices facilitates the social interaction concerning online broadcasted media events that we refer to as the social soundtrack. For this research, we assess the change of Super Bowl 2015 related conversations on various social media platforms, namely Twitter, Instagram and Tumblr via categories (commercials, musicals and game) for three phases (Pre, During, and Post). We execute statistical analysis on more than 3,000,000, 800,000 and 50,000 comments from Twitter, Instagram and Tumblr, respectively. We classify the principal phase and category of interaction across all three social media platforms. We additionally investigate the major changes in second screen conservations within the social soundtrack across the categories and phases on all three social network platforms. The research results show that phase-category relationship exists for all three social media platforms. The results find the During phase as the predominant one for all three categories on social media platforms, with the exception of Twitter. The research results are important in identifying the influence of second screens on social soundtrack conversations in terms of sharing of 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":"122528926","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.2015.7360528
Hilal Abbood Al-Libawy, Ali Al-Ataby, W. Al-Nuaimy, M. Al-Taee, Hamzah S. AlZu'bi
Operator tiredness and fatigue pose significant safety risks in industries such as mining, trucking, aviation and air traffic control. Fatigue is a major factor behind on-the-job accidents, absenteeism and lowered productivity. The detection and prediction of fatigue is a technical challenge, confounded by the practical constraints of the working environment. This paper presents a mathematical fatigue model using low cost wearable biosensors, customized for each individual participant. The circadian rhythm mathematical model is the major part of fatigue model core. Heart rate and skin temperature, which are known circadian pacemakers, are used to build the proposed mathematical model. The customization and adaptation of the circadian is expected to improve the fatigue model and make it more accurate in the context of individuality and adaptation to the time of day and the activity at hand. Using low-cost, non-intrusive and portable biosensors allows the model to be tested in real working conditions with minimal impact on the operators. In addition to presenting a mathematical model for the customized circadian, this paper presents some preliminary results from a limited experiment, with some promising results.
{"title":"Estimation of driver alertness using low-cost wearable devices","authors":"Hilal Abbood Al-Libawy, Ali Al-Ataby, W. Al-Nuaimy, M. Al-Taee, Hamzah S. AlZu'bi","doi":"10.1109/AEECT.2015.7360528","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360528","url":null,"abstract":"Operator tiredness and fatigue pose significant safety risks in industries such as mining, trucking, aviation and air traffic control. Fatigue is a major factor behind on-the-job accidents, absenteeism and lowered productivity. The detection and prediction of fatigue is a technical challenge, confounded by the practical constraints of the working environment. This paper presents a mathematical fatigue model using low cost wearable biosensors, customized for each individual participant. The circadian rhythm mathematical model is the major part of fatigue model core. Heart rate and skin temperature, which are known circadian pacemakers, are used to build the proposed mathematical model. The customization and adaptation of the circadian is expected to improve the fatigue model and make it more accurate in the context of individuality and adaptation to the time of day and the activity at hand. Using low-cost, non-intrusive and portable biosensors allows the model to be tested in real working conditions with minimal impact on the operators. In addition to presenting a mathematical model for the customized circadian, this paper presents some preliminary results from a limited experiment, with some promising results.","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":"122316106","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.2015.7360561
Khalid Alhammadi, A. Bouchalkha, S. Sowwan
Scale Deposition in pipelines is becoming a major concern to oil companies. The accumulations of mineral salts, if not detected and treated, can cause failure of the sensors and reduction of oil production which eventually affect well integrity. In this paper, we present three different methods for the detection of scale deposition using light sensing technique. We have successfully, under laboratory conditions, prepared and detected scale deposition at different time intervals after the scaling process was started. The experimental setup, theoretical consideration and the results are presented and discussed.
{"title":"Scale detection using light sensing technique","authors":"Khalid Alhammadi, A. Bouchalkha, S. Sowwan","doi":"10.1109/AEECT.2015.7360561","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360561","url":null,"abstract":"Scale Deposition in pipelines is becoming a major concern to oil companies. The accumulations of mineral salts, if not detected and treated, can cause failure of the sensors and reduction of oil production which eventually affect well integrity. In this paper, we present three different methods for the detection of scale deposition using light sensing technique. We have successfully, under laboratory conditions, prepared and detected scale deposition at different time intervals after the scaling process was started. The experimental setup, theoretical consideration and the results are presented and discussed.","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":"122293137","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.2015.7360541
P. Schlafer, S. Scholl, E. Leonardi, N. Wehn
LDPC codes are commonly decoded by conventional belief propagation algorithms like the min-sum algorithm. However especially for small block lengths belief propagation performs poorly in comparison to maximum likelihood decoding. In this paper we propose a new decoding algorithm, that is inspired by augmented belief propagation from literature and present hardware architectures and implementations for 28nm ASIC technology. The new decoder has a much higher complexity, but provides a gain of up to 1.2 dB signal-to-noise ratio compared to conventional belief propagation decoding.
{"title":"A new LDPC decoder hardware implementation with improved error rates","authors":"P. Schlafer, S. Scholl, E. Leonardi, N. Wehn","doi":"10.1109/AEECT.2015.7360541","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360541","url":null,"abstract":"LDPC codes are commonly decoded by conventional belief propagation algorithms like the min-sum algorithm. However especially for small block lengths belief propagation performs poorly in comparison to maximum likelihood decoding. In this paper we propose a new decoding algorithm, that is inspired by augmented belief propagation from literature and present hardware architectures and implementations for 28nm ASIC technology. The new decoder has a much higher complexity, but provides a gain of up to 1.2 dB signal-to-noise ratio compared to conventional belief propagation decoding.","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":"122574152","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.2015.7360554
Ashraf Suyyagh, J. G. Tong, Z. Zilic
Energy efficient real-time systems has been a prime concern in the last few years. Techniques on all levels of system design from the physical up to operating system level are being developed to reduce energy consumption. Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Management (DPM) are among the most widely used methods. Most research efforts focused on reducing processor power. Recently, system-wide solutions have been investigated. In this work, we extend on the previous work by adapting two evolutionary algorithms for system-wide energy minimisation. We show that our meta-heuristics improve on previous work and are three times more likely to reach near-optimal energy savings.
{"title":"Analysis of meta-heuristics performance in energy aware scheduling of real-time embedded systems","authors":"Ashraf Suyyagh, J. G. Tong, Z. Zilic","doi":"10.1109/AEECT.2015.7360554","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360554","url":null,"abstract":"Energy efficient real-time systems has been a prime concern in the last few years. Techniques on all levels of system design from the physical up to operating system level are being developed to reduce energy consumption. Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Management (DPM) are among the most widely used methods. Most research efforts focused on reducing processor power. Recently, system-wide solutions have been investigated. In this work, we extend on the previous work by adapting two evolutionary algorithms for system-wide energy minimisation. We show that our meta-heuristics improve on previous work and are three times more likely to reach near-optimal energy savings.","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":"129274954","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.2015.7360555
Raouf Abozariba, M. Patwary, A. Soliman, Mohamed Abdel-Maguid
Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of spectrum sensing is to provide more spectrum access opportunities to cognitive radio users without interfering with the operations of the licensed network. Spectrum sensing decisions can lead to erroneous sensing due to fading, shadowing and other interferences caused by either terrain inconsistency or dense urban structure. In order to improve spectrum sensing decisions, in this paper a cooperative spectrum sensing scheme is proposed, which takes the propagation conditions such as the variance and intensity of terrain and urban structure between two points with respect to signal propagation into consideration. We have also derived the optimum fusion rule which takes location reliability into consideration. The analytical results show that the proposed scheme outperform the conventional cooperative spectrum sensing approaches.
{"title":"Location-aware cooperative spectrum sensing within cognitive radio networks","authors":"Raouf Abozariba, M. Patwary, A. Soliman, Mohamed Abdel-Maguid","doi":"10.1109/AEECT.2015.7360555","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360555","url":null,"abstract":"Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of spectrum sensing is to provide more spectrum access opportunities to cognitive radio users without interfering with the operations of the licensed network. Spectrum sensing decisions can lead to erroneous sensing due to fading, shadowing and other interferences caused by either terrain inconsistency or dense urban structure. In order to improve spectrum sensing decisions, in this paper a cooperative spectrum sensing scheme is proposed, which takes the propagation conditions such as the variance and intensity of terrain and urban structure between two points with respect to signal propagation into consideration. We have also derived the optimum fusion rule which takes location reliability into consideration. The analytical results show that the proposed scheme outperform the conventional cooperative spectrum sensing approaches.","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":"132234267","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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