Pub Date : 2017-10-01DOI: 10.1109/UEMCON.2017.8249026
Bassma Guermah, T. Sadiki, Hassan El Ghazi
Today, the problem of global navigation satellite system (GNSS) positioning in urban canyons has received considerable attention in several field, such as transport and emergency systems. However, the performances of GNSS-based systems can be degraded in urban areas due to non-line-of-sight (NLOS), Multipath and masking effects. In this paper, we aim to explore the potential of RHCP, LHCP antennas technology and the fuzzy logic method for identifying GNSS signal reception state. The fuzzy system developed has based on the satellite elevation and the C/N0-R-L, which is the difference between the left-hand circular polarized (LHCP) C/N0 (carrier-to-noise ratio) and the right-hand circular polarized (RHCP) C/N0. A signal reception state classification by applying the proposed system is demonstrated on a real global positioning system (GPS) signal, and the efficiency of the classifier is shown.
{"title":"Fuzzy logic approach for GNSS signal classification using RHCP and LHCP antennas","authors":"Bassma Guermah, T. Sadiki, Hassan El Ghazi","doi":"10.1109/UEMCON.2017.8249026","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249026","url":null,"abstract":"Today, the problem of global navigation satellite system (GNSS) positioning in urban canyons has received considerable attention in several field, such as transport and emergency systems. However, the performances of GNSS-based systems can be degraded in urban areas due to non-line-of-sight (NLOS), Multipath and masking effects. In this paper, we aim to explore the potential of RHCP, LHCP antennas technology and the fuzzy logic method for identifying GNSS signal reception state. The fuzzy system developed has based on the satellite elevation and the C/N0-R-L, which is the difference between the left-hand circular polarized (LHCP) C/N0 (carrier-to-noise ratio) and the right-hand circular polarized (RHCP) C/N0. A signal reception state classification by applying the proposed system is demonstrated on a real global positioning system (GPS) signal, and the efficiency of the classifier is shown.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123458871","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8248990
M. Yoshikawa, Y. Nozaki
Recently, low power ciphers that can be used in IoT devices have attracted the attention of many researchers. The power consumption of Midori is the lowest of all available ciphers. In hardware security, side-channel attacks pose a danger because they illegally analyze the secret key in a cryptographic device using the power consumption and electromagnetic waves generated during the device's operation. One type of side-channel attack that uses electromagnetic waves is called electromagnetic analysis. To examine the safety of future IoT devices, it is extremely important to investigate the resistance of Midori, an extremely low-power cipher, to electromagnetic analysis (tamper resistance). However, to our knowledge, no studies have reported on electromagnetic analysis against Midori. The present study proposes a method of electromagnetic analysis.
{"title":"Electromagnetic analysis method for ultra low power cipher Midori","authors":"M. Yoshikawa, Y. Nozaki","doi":"10.1109/UEMCON.2017.8248990","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8248990","url":null,"abstract":"Recently, low power ciphers that can be used in IoT devices have attracted the attention of many researchers. The power consumption of Midori is the lowest of all available ciphers. In hardware security, side-channel attacks pose a danger because they illegally analyze the secret key in a cryptographic device using the power consumption and electromagnetic waves generated during the device's operation. One type of side-channel attack that uses electromagnetic waves is called electromagnetic analysis. To examine the safety of future IoT devices, it is extremely important to investigate the resistance of Midori, an extremely low-power cipher, to electromagnetic analysis (tamper resistance). However, to our knowledge, no studies have reported on electromagnetic analysis against Midori. The present study proposes a method of electromagnetic analysis.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125887747","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249093
S. Chatterjee, Sachet Sircar, Subhojit Dutta, S. Majumder, Souvik Dutta, A. Mitra, Swaham Dutta, J. S. Roy
Cognitive radio is viewed as a novel approach and promising technology for improving the radio spectrum utilization. The cognitive radio is defined as an intelligent wireless communication approach that is aware of its environment. Spectrum sensing is one of the key functionality for cognitive radio (CR) systems to operate in the available spectrum holes. To guard the licensed users or primary users present in any spectrum from any interference, the CR should be able enough detect incumbent signals. In this paper the CR networks is studied in terms of throughput for different frequencies. The probability of detection, probability of false alarm and bit error probability are studied using a demand and need based genetic algorithm(GA), taking he geographical variations of the spectrum holes in consideration. The results shows that the proposed GA worked well and provides an appreciable solution to the cognitive radio network.
{"title":"Throughput optimization in cognitive radio using demand based adaptive genetic algorithm","authors":"S. Chatterjee, Sachet Sircar, Subhojit Dutta, S. Majumder, Souvik Dutta, A. Mitra, Swaham Dutta, J. S. Roy","doi":"10.1109/UEMCON.2017.8249093","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249093","url":null,"abstract":"Cognitive radio is viewed as a novel approach and promising technology for improving the radio spectrum utilization. The cognitive radio is defined as an intelligent wireless communication approach that is aware of its environment. Spectrum sensing is one of the key functionality for cognitive radio (CR) systems to operate in the available spectrum holes. To guard the licensed users or primary users present in any spectrum from any interference, the CR should be able enough detect incumbent signals. In this paper the CR networks is studied in terms of throughput for different frequencies. The probability of detection, probability of false alarm and bit error probability are studied using a demand and need based genetic algorithm(GA), taking he geographical variations of the spectrum holes in consideration. The results shows that the proposed GA worked well and provides an appreciable solution to the cognitive radio network.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125935053","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249047
Hyunbum Kim, J. Ben-othman, L. Mokdad, Sungrae Cho, P. Bellavista
Thanks to advancement of vehicle technologies, Unmanned Aerial Vehicle (UAV) now widely spread over practical services and applications affecting daily life of people positively. Especially, multiple heterogeneous UAVs with different capabilities should be considered since UAVs can play an important role in Internet of Things (IoT) environment in which the heterogeneity and the multi domain of UAVs are indispensable. Also, a concept of barrier-coverage has been proved as a promising one applicable to surveillance and security. In this paper, we present collision-free reinforced barriers by heterogeneous UAVs to support multi domain. Then, we define a problem which is to minimize maximum movement of UAVs on condition that a property of collision-free among UAVs is assured while they travel from current positions to specific locations so as to form reinforced barriers within multi domain. Because the defined problem depends on how to locate UAVs on barriers, we develop a novel approach that provides a collision-free movement as well as a creation of virtual lines in multi domain. Furthermore, we address future research topics which should be handled carefully for the barrier-coverage by heterogeneous UAVs.
{"title":"On collision-free reinforced barriers for multi domain IoT with heterogeneous UAVs","authors":"Hyunbum Kim, J. Ben-othman, L. Mokdad, Sungrae Cho, P. Bellavista","doi":"10.1109/UEMCON.2017.8249047","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249047","url":null,"abstract":"Thanks to advancement of vehicle technologies, Unmanned Aerial Vehicle (UAV) now widely spread over practical services and applications affecting daily life of people positively. Especially, multiple heterogeneous UAVs with different capabilities should be considered since UAVs can play an important role in Internet of Things (IoT) environment in which the heterogeneity and the multi domain of UAVs are indispensable. Also, a concept of barrier-coverage has been proved as a promising one applicable to surveillance and security. In this paper, we present collision-free reinforced barriers by heterogeneous UAVs to support multi domain. Then, we define a problem which is to minimize maximum movement of UAVs on condition that a property of collision-free among UAVs is assured while they travel from current positions to specific locations so as to form reinforced barriers within multi domain. Because the defined problem depends on how to locate UAVs on barriers, we develop a novel approach that provides a collision-free movement as well as a creation of virtual lines in multi domain. Furthermore, we address future research topics which should be handled carefully for the barrier-coverage by heterogeneous UAVs.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124521398","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8248976
Luay Ali Al Irkhis
Estimation of linear Time-Frequency varying signal parameters is a computationally expensive process. Traditional estimation methods have several drawbacks that affect the performance of these estimators. Compressive sensing is a novel statistical approach that can make use of signal sparsity in a certain domain to fully recover the signal from fewer coefficients or measurements. Recent work on applying compressive sensing (CS) for chirp estimation has been reported in literature [1] [2], but these methods require super-resolution transformation causing a high post processing burden especially for real-time wide-band signals. To address this limitation, we propose to use a lower resolution measurements matrix with a wide range of estimated parameters. We apply low resolution Discrete Chirp Fourier Transform (DCFT) [3] with selected number of measurements to obtain prior signal information. Next, constrained high resolution transformation matrix is used by making use of the prior information obtained earlier. This would reduce the computational burden applied using super resolution of direct CS method. Multiple chirp signals are also considered, the effect of minimum signal separation, difference in amplitude of chirp signals and transformation resolution was studied based on simulation results and driven equations. Effect of noise has been studied, and the results show high immunity in the recovery process because CS had performed as filter for low side-lopes coefficients, even with very few measurements deployed.
{"title":"Fast CS algorithm for chirp signals parameters estimation using multi-resolution DCFT atom transformation","authors":"Luay Ali Al Irkhis","doi":"10.1109/UEMCON.2017.8248976","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8248976","url":null,"abstract":"Estimation of linear Time-Frequency varying signal parameters is a computationally expensive process. Traditional estimation methods have several drawbacks that affect the performance of these estimators. Compressive sensing is a novel statistical approach that can make use of signal sparsity in a certain domain to fully recover the signal from fewer coefficients or measurements. Recent work on applying compressive sensing (CS) for chirp estimation has been reported in literature [1] [2], but these methods require super-resolution transformation causing a high post processing burden especially for real-time wide-band signals. To address this limitation, we propose to use a lower resolution measurements matrix with a wide range of estimated parameters. We apply low resolution Discrete Chirp Fourier Transform (DCFT) [3] with selected number of measurements to obtain prior signal information. Next, constrained high resolution transformation matrix is used by making use of the prior information obtained earlier. This would reduce the computational burden applied using super resolution of direct CS method. Multiple chirp signals are also considered, the effect of minimum signal separation, difference in amplitude of chirp signals and transformation resolution was studied based on simulation results and driven equations. Effect of noise has been studied, and the results show high immunity in the recovery process because CS had performed as filter for low side-lopes coefficients, even with very few measurements deployed.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132572838","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8248979
D. Manikanta, Mohinder Bassi, H. Bedi
Recently introduced topologies achieve higher number of output voltage with less number of semiconductor devices, dc sources. Reduction of switch count and DC voltage sources reduces the size, cost, complexity and enhances overall performance. Enhanced topology is capable of producing 7, 9 and 11 levels of output voltage with seven switches only. Moreover, significant reduction in voltage stress across the switches can be achieved. A comparative analysis of enhanced topology with the conventional topology and recently published topologies has been made in terms of controlled switches, power diodes, driver circuit requirement, DC voltage sources and blocking voltage. Multi-carrier pulse-width modulation strategy is adopted for generating the switching pulses. Simulation study of the enhanced topology has been carried out using Matlab/Simulink.
{"title":"Enhanced topology based 9 level H-bridge inverter","authors":"D. Manikanta, Mohinder Bassi, H. Bedi","doi":"10.1109/UEMCON.2017.8248979","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8248979","url":null,"abstract":"Recently introduced topologies achieve higher number of output voltage with less number of semiconductor devices, dc sources. Reduction of switch count and DC voltage sources reduces the size, cost, complexity and enhances overall performance. Enhanced topology is capable of producing 7, 9 and 11 levels of output voltage with seven switches only. Moreover, significant reduction in voltage stress across the switches can be achieved. A comparative analysis of enhanced topology with the conventional topology and recently published topologies has been made in terms of controlled switches, power diodes, driver circuit requirement, DC voltage sources and blocking voltage. Multi-carrier pulse-width modulation strategy is adopted for generating the switching pulses. Simulation study of the enhanced topology has been carried out using Matlab/Simulink.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130970909","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249016
J. Mass-Sanchez, E. Ruiz-Ibarra, A. Espinoza-Ruiz, L. R. Domínguez
Localization is a priority problem in Wireless Sensor Networks (WSNs), since this provides the necessary information about where an event occurs. In this paper we evaluates different variants of range-free localization techniques such as DV-Hop and WDV-Hop using Hyperbolic and Weighted Hyperbolic positioning algorithms as well as the DV-Hop algorithm with PSO (Particle Swarm Optimization) algorithm. The localization algorithms are evaluated in three scenarios, where the number of RNs (References Nodes), the node density and the radio range are varied. The results obtained through the simulations show that the DV-Hop algorithm with PSO presents better performance in terms of accuracy and precision with respect to the DV-Hop and WDV-Hop algorithms using the Hyperbolic and Weighted Hyperbolic positioning algorithms in the proposed assessment scenarios.
{"title":"A comparative of range free localization algorithms and DV-Hop using the Particle Swarm Optimization algorithm","authors":"J. Mass-Sanchez, E. Ruiz-Ibarra, A. Espinoza-Ruiz, L. R. Domínguez","doi":"10.1109/UEMCON.2017.8249016","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249016","url":null,"abstract":"Localization is a priority problem in Wireless Sensor Networks (WSNs), since this provides the necessary information about where an event occurs. In this paper we evaluates different variants of range-free localization techniques such as DV-Hop and WDV-Hop using Hyperbolic and Weighted Hyperbolic positioning algorithms as well as the DV-Hop algorithm with PSO (Particle Swarm Optimization) algorithm. The localization algorithms are evaluated in three scenarios, where the number of RNs (References Nodes), the node density and the radio range are varied. The results obtained through the simulations show that the DV-Hop algorithm with PSO presents better performance in terms of accuracy and precision with respect to the DV-Hop and WDV-Hop algorithms using the Hyperbolic and Weighted Hyperbolic positioning algorithms in the proposed assessment scenarios.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126983852","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8248994
Y. Alaa, H. Elattar, F. Digham, Laila H. Afify, H. Elbadawy
Machine-to-Machine (M2M) has become a generally used term owing to the concept of the Internet of Things (IOT). M2M communications have numerous areas of implementation such as medicine, transportation, environmental monitoring, and smart grids. As the field of its implementation extends, the number of M2M equipment are projected to grow proportionally in the upcoming few years. Current cellular network technologies will not be able to cope with the expected increase in the number of M2M services while considering QoS as a major topic. Many applications of M2M are delay sensitive that will lead to overhead on the physical random access channel, in addition to the lack of their standardization. In this paper, a model is proposed, by using Non-Preemptive Queuing Model, in order to investigate the performance of different M2M and H2H traffic classes under dynamic Access Grant Time Interval (AGTI) controlled scheduling scheme. This is done by using M/G/m/m queuing model focusing on the resource utilization and the Quality of Service (QoS). The proposed technique achieves a better percentage in delay reduction and a less percentage of packet loss.
由于物联网(IOT)的概念，机器对机器(M2M)已经成为一个通用术语。M2M通信有许多实施领域，如医疗、交通、环境监测和智能电网。随着其实施领域的扩展，M2M设备的数量预计将在未来几年内按比例增长。当前的蜂窝网络技术在将QoS作为主要议题的情况下，将无法应对M2M业务数量的预期增长。M2M的许多应用都是延迟敏感的，这将导致物理随机访问信道的开销，此外还缺乏标准化。为了研究不同M2M和H2H流量在AGTI (Access Grant Time Interval)动态控制调度方案下的性能，提出了一种基于非抢占排队模型的模型。这是通过使用M/G/ M/ M队列模型来实现的，该模型关注资源利用率和服务质量(QoS)。所提出的技术实现了更好的延迟降低百分比和更少的丢包百分比。
{"title":"LTE dynamic scheduling scheme for massive M2M and H2H communication","authors":"Y. Alaa, H. Elattar, F. Digham, Laila H. Afify, H. Elbadawy","doi":"10.1109/UEMCON.2017.8248994","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8248994","url":null,"abstract":"Machine-to-Machine (M2M) has become a generally used term owing to the concept of the Internet of Things (IOT). M2M communications have numerous areas of implementation such as medicine, transportation, environmental monitoring, and smart grids. As the field of its implementation extends, the number of M2M equipment are projected to grow proportionally in the upcoming few years. Current cellular network technologies will not be able to cope with the expected increase in the number of M2M services while considering QoS as a major topic. Many applications of M2M are delay sensitive that will lead to overhead on the physical random access channel, in addition to the lack of their standardization. In this paper, a model is proposed, by using Non-Preemptive Queuing Model, in order to investigate the performance of different M2M and H2H traffic classes under dynamic Access Grant Time Interval (AGTI) controlled scheduling scheme. This is done by using M/G/m/m queuing model focusing on the resource utilization and the Quality of Service (QoS). The proposed technique achieves a better percentage in delay reduction and a less percentage of packet loss.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126748203","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8249036
Shouvik Chakraborty, Kalyani Mali, Sankhadeep Chatterjee, Soumen Banerjee, Aayush Sah, S. Pathak, Suparba Nath, Debkumar Roy
The biomedical image analysis methods are considered to be the effective and important tool for screening, detection and diagnosis. It is nearly inevitable tool and works as the helping hand for physicians. One of the major issues related with the biomedical images is that most of the images (of different modalities) are suffered from noise and other different quality related problems like poor contrast, blurring, and difficulties in extracting suitable information. Therefore it necessary to design some techniques that can enhance the image in such a way so that, it will be suitable for further processing. It is very important for all imaging applications especially for biomedical domain where, the accuracy is the major concern. That is why pre-processing is necessary for most of the cases in biomedical image analysis. Developing suitable and effective image enhancement techniques are of major interests of many researchers. It also helps physicians to easily interpret an image. Now, the enhancement can be of different types and the choice is dependent on the image as well as on the application. Many methods have been already proposed. In recent years, several methods based on meta-heuristic and soft computing tools have been developed apart from traditional methods. In this paper, a comprehensive review of the application of meta-heuristic and soft computing based tools is provided discusses some of the application of these techniques in biomedical image analysis.
{"title":"Bio-medical image enhancement using hybrid metaheuristic coupled soft computing tools","authors":"Shouvik Chakraborty, Kalyani Mali, Sankhadeep Chatterjee, Soumen Banerjee, Aayush Sah, S. Pathak, Suparba Nath, Debkumar Roy","doi":"10.1109/UEMCON.2017.8249036","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249036","url":null,"abstract":"The biomedical image analysis methods are considered to be the effective and important tool for screening, detection and diagnosis. It is nearly inevitable tool and works as the helping hand for physicians. One of the major issues related with the biomedical images is that most of the images (of different modalities) are suffered from noise and other different quality related problems like poor contrast, blurring, and difficulties in extracting suitable information. Therefore it necessary to design some techniques that can enhance the image in such a way so that, it will be suitable for further processing. It is very important for all imaging applications especially for biomedical domain where, the accuracy is the major concern. That is why pre-processing is necessary for most of the cases in biomedical image analysis. Developing suitable and effective image enhancement techniques are of major interests of many researchers. It also helps physicians to easily interpret an image. Now, the enhancement can be of different types and the choice is dependent on the image as well as on the application. Many methods have been already proposed. In recent years, several methods based on meta-heuristic and soft computing tools have been developed apart from traditional methods. In this paper, a comprehensive review of the application of meta-heuristic and soft computing based tools is provided discusses some of the application of these techniques in biomedical image analysis.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114747233","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 : 2017-10-01DOI: 10.1109/UEMCON.2017.8248982
S. Prasad, R. Scholar, Ramesh Jayabalan
In this paper, an improved scheme called Scaled Offset Particle Swarm Optimization based Partial Transmit Sequence (SOPSO-PTS) for reducing Peak-to-Average Power Ratio (PAPR) in wireless communications is presented. The main focus of this paper is to reduce PAPR as well as the computational complexity. The proposed scheme SOPSO-PTS has salient features such as faster convergence to the optimum value and provides a good control mechanism to the particle's velocity which makes it unique from the other conventional PSO-PTS schemes. The proposed scheme performs better when compared to Simulated Annealing (SA) PTS and Particle Swarm Optimization (PSO) PTS techniques.
{"title":"Scaled offset PSO based PTS for PAPR reduction in OFDM systems","authors":"S. Prasad, R. Scholar, Ramesh Jayabalan","doi":"10.1109/UEMCON.2017.8248982","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8248982","url":null,"abstract":"In this paper, an improved scheme called Scaled Offset Particle Swarm Optimization based Partial Transmit Sequence (SOPSO-PTS) for reducing Peak-to-Average Power Ratio (PAPR) in wireless communications is presented. The main focus of this paper is to reduce PAPR as well as the computational complexity. The proposed scheme SOPSO-PTS has salient features such as faster convergence to the optimum value and provides a good control mechanism to the particle's velocity which makes it unique from the other conventional PSO-PTS schemes. The proposed scheme performs better when compared to Simulated Annealing (SA) PTS and Particle Swarm Optimization (PSO) PTS techniques.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129926531","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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