Pub Date : 2020-02-01DOI: 10.1109/NCC48643.2020.9056059
Moyukh Laha, Suraj Kamble, R. Datta
The next generation vehicular applications in smart cities, including aided self-driving, require intricate data processing and quick message exchanges. A pragmatic approach to address these requirements is to adopt the edge-computing paradigm from 5G architecture, where storage, computing, and networking resources are brought to the edge of the network, i.e., closer to the end-users. Edge nodes (EN) are geographically overlaid across a region, and therefore, the effectiveness of the vehicular applications is directly associated with the proper placement of such nodes. However, the deployment of edge nodes on the roadsides presents a challenge of cost-effectiveness. In this paper, we address the efficient deployment of a limited number of edge nodes in an urban scenario under a restricted budget. To this end, we jointly consider the structural properties of the road network using complex-network based centrality metrics and the vehicular traffic distribution to rank the candidate sites for edge node placement. Thereafter, we formulate the problem of edge node deployment as a 0–1 knapsack problem, which is a classical NP problem and provide a dynamic programming based solution to it. We evaluate the proposed method in an urban scenario with real traffic and present conclusive proof that our proposed scheme yields a practical solution to the defined problem.
{"title":"Edge Nodes Placement in 5G enabled Urban Vehicular Networks: A Centrality-based Approach","authors":"Moyukh Laha, Suraj Kamble, R. Datta","doi":"10.1109/NCC48643.2020.9056059","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056059","url":null,"abstract":"The next generation vehicular applications in smart cities, including aided self-driving, require intricate data processing and quick message exchanges. A pragmatic approach to address these requirements is to adopt the edge-computing paradigm from 5G architecture, where storage, computing, and networking resources are brought to the edge of the network, i.e., closer to the end-users. Edge nodes (EN) are geographically overlaid across a region, and therefore, the effectiveness of the vehicular applications is directly associated with the proper placement of such nodes. However, the deployment of edge nodes on the roadsides presents a challenge of cost-effectiveness. In this paper, we address the efficient deployment of a limited number of edge nodes in an urban scenario under a restricted budget. To this end, we jointly consider the structural properties of the road network using complex-network based centrality metrics and the vehicular traffic distribution to rank the candidate sites for edge node placement. Thereafter, we formulate the problem of edge node deployment as a 0–1 knapsack problem, which is a classical NP problem and provide a dynamic programming based solution to it. We evaluate the proposed method in an urban scenario with real traffic and present conclusive proof that our proposed scheme yields a practical solution to the defined problem.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116119878","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056001
Manasa Gowri Hebbur Sheshadri, M. Okade
Recognizing humans through gait has been an emanant biometric technology in the recent years owing to the fact that it is unobtrusive since it does not require a subject's cooperation. This paper investigates Kinect based gait recognition of human subjects for surveillance applications especially in narrow corridor and airport scenarios where only the frontal views are available. Two features namely skeleton size feature and projectile motion feature extracted from skeleton data and one feature derived by segmenting the depth data using superpixels followed by SURF descriptor extraction are utilized in a hierarchical framework to obtain the closest matching subject for recognition purposes. The proposed method provides considerable increase in the recognition accuracy and recognition rank in comparison to state-of-the-art gait recognition approaches.
{"title":"Kinect based Frontal Gait Recognition using skeleton and depth derived features","authors":"Manasa Gowri Hebbur Sheshadri, M. Okade","doi":"10.1109/NCC48643.2020.9056001","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056001","url":null,"abstract":"Recognizing humans through gait has been an emanant biometric technology in the recent years owing to the fact that it is unobtrusive since it does not require a subject's cooperation. This paper investigates Kinect based gait recognition of human subjects for surveillance applications especially in narrow corridor and airport scenarios where only the frontal views are available. Two features namely skeleton size feature and projectile motion feature extracted from skeleton data and one feature derived by segmenting the depth data using superpixels followed by SURF descriptor extraction are utilized in a hierarchical framework to obtain the closest matching subject for recognition purposes. The proposed method provides considerable increase in the recognition accuracy and recognition rank in comparison to state-of-the-art gait recognition approaches.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122506361","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056074
Kamal K. Garg, V. Bhatia
Ultraviolet (UV) communication with its ability to operate non-line-of-sight (NLOS) mode offers several advantages as compared to the conventional optical wireless communication systems (OWC). NLOS UV communication (UVC) relaxes the pointing, acquisition and tracking (PAT) requirement; and also experiences extremely less background noise at earth surface due to the absorption of solar radiation by the ozone layer. Due to very small wavelength, UV signal strongly interacts with atmospheric particles and aerosols, thereby resulting in strong scattering and NLOS connectivity. The NLOS UVC, however, suffers with very high path loss and turbulence induced fading whose effects become more severe for large communication distance. In this work, we address these challenges by introducing a NLOS UVC system which incorporates relay to extend the communication distance and multiple receiver branches at the destination to mitigate the effect of fading. Performance analysis of the considered system model leads to deriving novel closed-form expressions for the outage probability and average symbol error rate. We evaluate the system performance for different configuration parameters and modulation formats. Correctness of the derived analytical expressions is validated through Monte-Carlo simulations.
{"title":"Performance Analysis of Cooperative NLOS UVC System with Receiver Diversity","authors":"Kamal K. Garg, V. Bhatia","doi":"10.1109/NCC48643.2020.9056074","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056074","url":null,"abstract":"Ultraviolet (UV) communication with its ability to operate non-line-of-sight (NLOS) mode offers several advantages as compared to the conventional optical wireless communication systems (OWC). NLOS UV communication (UVC) relaxes the pointing, acquisition and tracking (PAT) requirement; and also experiences extremely less background noise at earth surface due to the absorption of solar radiation by the ozone layer. Due to very small wavelength, UV signal strongly interacts with atmospheric particles and aerosols, thereby resulting in strong scattering and NLOS connectivity. The NLOS UVC, however, suffers with very high path loss and turbulence induced fading whose effects become more severe for large communication distance. In this work, we address these challenges by introducing a NLOS UVC system which incorporates relay to extend the communication distance and multiple receiver branches at the destination to mitigate the effect of fading. Performance analysis of the considered system model leads to deriving novel closed-form expressions for the outage probability and average symbol error rate. We evaluate the system performance for different configuration parameters and modulation formats. Correctness of the derived analytical expressions is validated through Monte-Carlo simulations.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":" 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132125338","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056000
Gaurav Singh, Saptarshi Ghosh
This paper presents two broadband absorber structures based on circuit analog (CA) and capacitive circuit (CC) concepts. Each of the proposed designs is made of multiple resistive layers separated by an air spacer and terminated by a ground plane. The CA structure employs square resistive loops printed on dielectric substrates, whereas square resistive patches are being used in the CC geometry. The proposed CA absorber exhibits 142.08% absorption bandwidth (for absorptivity> 90%) at the expense of a large thickness (0.296Ao, λo being the wavelength which corresponds to the central absorption frequency). On the other hand, the CC absorber provides 76.41% absorption bandwidth corresponding to a thinner substrate (0.135λo). Both the designs are polarization-independent and angularly stable, despite having small profile, low resistance, and simple design. A comparison has also been made between the CA and CC concepts, thereby highlighting their performances over one another.
{"title":"A Comparative Analysis between Circuit Analog and Capacitive Circuit based Broadband Absorbers","authors":"Gaurav Singh, Saptarshi Ghosh","doi":"10.1109/NCC48643.2020.9056000","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056000","url":null,"abstract":"This paper presents two broadband absorber structures based on circuit analog (CA) and capacitive circuit (CC) concepts. Each of the proposed designs is made of multiple resistive layers separated by an air spacer and terminated by a ground plane. The CA structure employs square resistive loops printed on dielectric substrates, whereas square resistive patches are being used in the CC geometry. The proposed CA absorber exhibits 142.08% absorption bandwidth (for absorptivity> 90%) at the expense of a large thickness (0.296Ao, λo being the wavelength which corresponds to the central absorption frequency). On the other hand, the CC absorber provides 76.41% absorption bandwidth corresponding to a thinner substrate (0.135λo). Both the designs are polarization-independent and angularly stable, despite having small profile, low resistance, and simple design. A comparison has also been made between the CA and CC concepts, thereby highlighting their performances over one another.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132214647","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056063
C. P. Najlah, S. Sameer
This paper proposes a novel non-orthogonal multiple access (NOMA) scheme for the uplink heterogeneous network (HetNet) using QR decomposition. In a HetNet employing NOMA, femtocell users (FUs) share the same spectrum as that of the macrocell users (MUs). While it increases the system capacity, this reuse results in new cases of cross-tier and co-tier interference. Cross-tier interference at the femtocell causes severe performance degradation due to the high transmit power of undesired macrocell users (MUs). Hence efficient interference management is essential to garner the benefits promised by NOMA-HetNet combination. In the proposed NOMA scheme, the cross-tier interference in the femtocell is mitigated by QR decomposition-based decoding. This decomposition carried out at the femtocell base station (FBS) extracts the desired NOMA users' signal from the received composite signal. In contrast to the NOMA schemes in literature based on successive interference cancellation (SIC), the proposed scheme does not require any user pairing or power control schemes on the user equipment (UE) to decode FUs' data at the FBS. Besides, it does not require any information exchange to the transmitter (UE) side for decoding, thereby significantly reducing the computational complexity as well as the signaling overhead at the FBS. Performance of the proposed scheme is evaluated through simulation studies and also compared with a prevailing SIC algorithm to establish its superiority.
{"title":"A Novel NOMA Scheme for Uplink Heterogeneous Network Using QR Decomposition-Based Projection","authors":"C. P. Najlah, S. Sameer","doi":"10.1109/NCC48643.2020.9056063","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056063","url":null,"abstract":"This paper proposes a novel non-orthogonal multiple access (NOMA) scheme for the uplink heterogeneous network (HetNet) using QR decomposition. In a HetNet employing NOMA, femtocell users (FUs) share the same spectrum as that of the macrocell users (MUs). While it increases the system capacity, this reuse results in new cases of cross-tier and co-tier interference. Cross-tier interference at the femtocell causes severe performance degradation due to the high transmit power of undesired macrocell users (MUs). Hence efficient interference management is essential to garner the benefits promised by NOMA-HetNet combination. In the proposed NOMA scheme, the cross-tier interference in the femtocell is mitigated by QR decomposition-based decoding. This decomposition carried out at the femtocell base station (FBS) extracts the desired NOMA users' signal from the received composite signal. In contrast to the NOMA schemes in literature based on successive interference cancellation (SIC), the proposed scheme does not require any user pairing or power control schemes on the user equipment (UE) to decode FUs' data at the FBS. Besides, it does not require any information exchange to the transmitter (UE) side for decoding, thereby significantly reducing the computational complexity as well as the signaling overhead at the FBS. Performance of the proposed scheme is evaluated through simulation studies and also compared with a prevailing SIC algorithm to establish its superiority.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134487037","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056089
P. Rani, Sivaganesh Andhavarapu, S. Kodukula
Most of the speech enhancement algorithms rely on estimating the magnitude spectrum of the clean speech signal from that of the noisy speech signal using either spectral regression or spectral masking. Because of difficulty in processing the phase of the short time Fourier transform (STFT), noisy phase is reused while synthesizing the waveform from the enhanced magnitude spectrum. In order to demonstrate the significance of phase in speech enhancement, we compare the phase obtained from different reconstruction methods, like Griffin and Lim, minimum phase, with that of the gold phase (clean phase). In this work, spectral magnitude mask (SMM) is estimated using deep neural networks to enhance the magnitude spectrum of the speech signal. The experimental results showed that gold phase outperforms the phase reconstruction methods in all the objective measures, illustrating the significance of enhancing the noisy phase in speech enhancement.
{"title":"Significance of Phase in DNN based speech enhancement algorithms","authors":"P. Rani, Sivaganesh Andhavarapu, S. Kodukula","doi":"10.1109/NCC48643.2020.9056089","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056089","url":null,"abstract":"Most of the speech enhancement algorithms rely on estimating the magnitude spectrum of the clean speech signal from that of the noisy speech signal using either spectral regression or spectral masking. Because of difficulty in processing the phase of the short time Fourier transform (STFT), noisy phase is reused while synthesizing the waveform from the enhanced magnitude spectrum. In order to demonstrate the significance of phase in speech enhancement, we compare the phase obtained from different reconstruction methods, like Griffin and Lim, minimum phase, with that of the gold phase (clean phase). In this work, spectral magnitude mask (SMM) is estimated using deep neural networks to enhance the magnitude spectrum of the speech signal. The experimental results showed that gold phase outperforms the phase reconstruction methods in all the objective measures, illustrating the significance of enhancing the noisy phase in speech enhancement.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131797530","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056094
P. Kumar, Prerna Saxena
We present the design and characterization of a broadband left-handed metamaterial operating over 20–60 GHz. The proposed metamaterial unit cell comprises of a complementary split ring resonator along with an inverted-T shaped slot structure. The metamaterial cell demonstrates a reflection coefficient (S11) less than -20 dB and a transmission coefficient (S21) approximately 0 dB over the entire broadband frequency range of 20 GHz to 60 GHz. Parameter extraction procedures are used to validate the left-handed nature of the proposed metamaterial unit cell by uniquely determining refractive index, wave impedance, effective permeability, and effective permittivity from the complex S-parameters. The extracted permittivity, permeability and refractive index of the proposed metamaterial are found to be negative over the entire operating frequency range.
{"title":"Design and Analysis of 20–60 GHz Broadband Left-Handed Metamaterial","authors":"P. Kumar, Prerna Saxena","doi":"10.1109/NCC48643.2020.9056094","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056094","url":null,"abstract":"We present the design and characterization of a broadband left-handed metamaterial operating over 20–60 GHz. The proposed metamaterial unit cell comprises of a complementary split ring resonator along with an inverted-T shaped slot structure. The metamaterial cell demonstrates a reflection coefficient (S11) less than -20 dB and a transmission coefficient (S21) approximately 0 dB over the entire broadband frequency range of 20 GHz to 60 GHz. Parameter extraction procedures are used to validate the left-handed nature of the proposed metamaterial unit cell by uniquely determining refractive index, wave impedance, effective permeability, and effective permittivity from the complex S-parameters. The extracted permittivity, permeability and refractive index of the proposed metamaterial are found to be negative over the entire operating frequency range.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115101833","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056013
Ronak Gupta, Aditya Kumar, S. Chaudhury, Brejesh Lall, V. Kaushik
Compressive sensing (CS) using deep learning for recovery of images from measurements has been well explored in recent years. Instead of sensing/sampling full image, block or patch based compressive sensing is chosen to overcome memory and computation limitations. The drawback of this block based CS sampling and recovery is that it does not capture global context and focuses only on the local context. This results in artifacts at the boundary of two consecutive image blocks. Random Gaussian or random Bernoulli matrix are commonly used as sensing matrices to sample an image block and generate corresponding linear measurements. Although, random Gaussian or random Bernoulli matrices exhibits Restricted Isometry property (RIP), which is a guarantee for good quality reconstructed image, its two main disadvantages are: 1) large memory and computational requirements and 2) their encoded measurements doesn't generalize well to a large-scale dataset. In this paper, we propose a data adaptive CS based on deep learning framework for image recognition where 1) sampling is done considering the global context and 2) encoding to obtain measurements is learned from data, so as to achieve the generalization over large-scale dataset.
{"title":"Data Adaptive Compressed Sensing using deep neural network for Image recognition","authors":"Ronak Gupta, Aditya Kumar, S. Chaudhury, Brejesh Lall, V. Kaushik","doi":"10.1109/NCC48643.2020.9056013","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056013","url":null,"abstract":"Compressive sensing (CS) using deep learning for recovery of images from measurements has been well explored in recent years. Instead of sensing/sampling full image, block or patch based compressive sensing is chosen to overcome memory and computation limitations. The drawback of this block based CS sampling and recovery is that it does not capture global context and focuses only on the local context. This results in artifacts at the boundary of two consecutive image blocks. Random Gaussian or random Bernoulli matrix are commonly used as sensing matrices to sample an image block and generate corresponding linear measurements. Although, random Gaussian or random Bernoulli matrices exhibits Restricted Isometry property (RIP), which is a guarantee for good quality reconstructed image, its two main disadvantages are: 1) large memory and computational requirements and 2) their encoded measurements doesn't generalize well to a large-scale dataset. In this paper, we propose a data adaptive CS based on deep learning framework for image recognition where 1) sampling is done considering the global context and 2) encoding to obtain measurements is learned from data, so as to achieve the generalization over large-scale dataset.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115175014","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056027
M. Sameer, A. Gupta, Chinmay Chakraborty, B. Gupta
In this study, gamma band (30–60 Hz) is used for detection of epileptical seizures using Haralick features. Most of the previous methods are based on the whole frequency spectrum for detection. This work use only high frequency electroencephalogram (EEG) subband for seizure detection using image descriptors. To convert one dimensional EEG data into image Short-time Fourier transform (STFT) has been used. Gamma band is cut from the time frequency (t-f) plane and Haralick features is used as image descriptors to fed in the decision tree classifier. The results have been evaluated using receiver operating characteristic (ROC) analysis. Maximum area under curve (AUC) of 0.96 is obtained to classify between seizures and healthy. Advantage of this work is rather using whole frequency band it utilizes only a particular band which reduces computational load. It also shows the utility of gamma band in seizure detection.
{"title":"ROC Analysis for detection of Epileptical Seizures using Haralick features of Gamma band","authors":"M. Sameer, A. Gupta, Chinmay Chakraborty, B. Gupta","doi":"10.1109/NCC48643.2020.9056027","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056027","url":null,"abstract":"In this study, gamma band (30–60 Hz) is used for detection of epileptical seizures using Haralick features. Most of the previous methods are based on the whole frequency spectrum for detection. This work use only high frequency electroencephalogram (EEG) subband for seizure detection using image descriptors. To convert one dimensional EEG data into image Short-time Fourier transform (STFT) has been used. Gamma band is cut from the time frequency (t-f) plane and Haralick features is used as image descriptors to fed in the decision tree classifier. The results have been evaluated using receiver operating characteristic (ROC) analysis. Maximum area under curve (AUC) of 0.96 is obtained to classify between seizures and healthy. Advantage of this work is rather using whole frequency band it utilizes only a particular band which reduces computational load. It also shows the utility of gamma band in seizure detection.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123345877","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056044
Prateek Rathore, Kalpana Dhaka, S. Bose
In this paper, we present a reliable multicasting technique for multi-hop networks when packets from two of the sessions are transmitted simultaneously. Our main aim is to optimally exploit network coding (NC) advantage for efficient packet transmission. For each multicasting session, Multicast Least Cost Anypath Routing (MLCAR) scheme is applied to select the forwarder set. We define a coding window (CW) at the intermediate nodes and packets present in them are combined using NC. These network coded packets formed at a node are then communicated to its neighbouring node such that all the destinations of the respective multicasting session receive the desired packets. The average cost of multicasting is obtained for the proposed Two-Source Multicasting using Network Coding (TSMNC) scheme through extensive simulations. The results are compared with those obtained on considering the corresponding MLCAR approach. We observe that the considered scheme significantly improves the expected transmission count in a network.
{"title":"Network Coding Assisted Reliable Multicasting in Multi-Hop Wireless Networks with Two-Sources","authors":"Prateek Rathore, Kalpana Dhaka, S. Bose","doi":"10.1109/NCC48643.2020.9056044","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056044","url":null,"abstract":"In this paper, we present a reliable multicasting technique for multi-hop networks when packets from two of the sessions are transmitted simultaneously. Our main aim is to optimally exploit network coding (NC) advantage for efficient packet transmission. For each multicasting session, Multicast Least Cost Anypath Routing (MLCAR) scheme is applied to select the forwarder set. We define a coding window (CW) at the intermediate nodes and packets present in them are combined using NC. These network coded packets formed at a node are then communicated to its neighbouring node such that all the destinations of the respective multicasting session receive the desired packets. The average cost of multicasting is obtained for the proposed Two-Source Multicasting using Network Coding (TSMNC) scheme through extensive simulations. The results are compared with those obtained on considering the corresponding MLCAR approach. We observe that the considered scheme significantly improves the expected transmission count in a network.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124498553","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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