{"title":"Relative frequency maps for face recognition","authors":"K. Karthik, Harshit Balaraman","doi":"10.1109/NCC.2016.7561079","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561079","url":null,"abstract":"Single face-image comparisons are extremely challenging, particularly in the context of pose, expression variations and scene illumination changes. Most of the existing schemes are sub-space learning based, where dominant eigen-directions are determined from the covariance matrix computed over the entire face space. In this paper we propose a simple hashing method based on the relative magnitudes of selective frequencies obtained from the intensity histogram and use this indicator function as an elastic representation of the face, termed as the Order Preserving Selective Relative frequency map (OPSRFM). Despite being a histogram derivative, the OPSRFM has been found to be robust to contrast stretching operations and pose variations in faces, while remaining discriminative across face classes. Recognition rates obtained for the ORL and YALE databases were 87.63% and 76.36% respectively which are comparable to computationally intensive sub-space learning and hashing methods.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128527870","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}
{"title":"Compressed sensing of respiratory signals promoting joint-sparsity","authors":"Ramakanth Reddy, P. R. Muduli, A. Mukherjee","doi":"10.1109/NCC.2016.7561095","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561095","url":null,"abstract":"Telemonitoring is a potential solution for management of patients suffering from chronic respiratory diseases, such as chronic obstructive pulmonary disease (COPD), respiratory failure, and obstructive sleep apnea. However, the compression is a prime concern for designing telemonitoring systems via Wireless Body Area Networks (WBANs). In this regard, Compressed Sensing (CS) is a promising tool of compression. This paper proposes a mixed norm-based CS technique to compress/recover respiratory signals in WBAN systems. To enhance the recovery performance, the overall problem is framed in Multiple Measurement Vector (MMV) model exploiting the joint-sparsity. First, the raw respiratory data is compressed employing a sparse binary sensing matrix with a few nonzero entries at the sensor (transmitter) side. Then at the server (receiver) side, the original signal is recovered using the proposed algorithm. The experimental results using the Physiobank respiratory database shows promising achievement obtained by the proposed method in terms of CPU computation time as well as reconstruction quality.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128595355","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}
{"title":"A smartphone app-based digital hearing aid with sliding-band dynamic range compression","authors":"Nitya Tiwari, P. C. Pandey, Anurag Sharma","doi":"10.1109/NCC.2016.7561146","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561146","url":null,"abstract":"Listeners with sensorineural hearing loss have degraded speech perception due to frequency-dependent elevation of hearing thresholds, reduced dynamic range, and increased temporal and spectral masking. Signal processing in hearing aids for such listeners uses frequency-selective amplification and dynamic range compression for restoring normal loudness of low-level sounds without making the high-level sounds uncomfortably loud. Sliding-band compression has been reported earlier for reducing the temporal and spectral distortions generally associated with currently used single and multiband compression techniques. The paper presents implementation of sliding-band compression as a smartphone app for use as a hearing aid. The processing involves a frequency-dependent gain function calculated on the basis of critical bandwidth based short-time power spectrum and the specified hearing thresholds, compression ratios, and attack and release times. It is realized using FFT-based analysis-synthesis and can be integrated with other such techniques for computational efficiency.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122273724","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}
{"title":"Trace based application layer modeling in ns-3","authors":"P. Agrawal, Mythili Vutukuru","doi":"10.1109/NCC.2016.7561126","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561126","url":null,"abstract":"Ns-3 is a widely used as a the network simulator of choice by researchers. It contains many well tested and high quality models of network protocols. However, the application layer models of ns-3 are very simplistic, and do not capture all aspects of real life applications. As a result, there is often a huge gap between the results of real experiments and the corresponding simulations. This problem is particularly exacerbated for wireless simulations, where many networking phenomena like wireless channel contention crucially depend on the application traffic characteristics. One way to bridge the gap between experiments and simulations is to incorporate knowledge from network traces into simulations. To this end, our work builds a trace-based application layer simulator in ns-3. Given a network trace collected from a user, our TraceReplay application layer model automatically generates traffic that is faithful to the real application in the ns-3 simulator. TraceReplay infers and replays only application layer delays like user think times, lets the simulator control the lower layer phenomena. TraceReplay extracts application layer characteristics from a single trace, and replays this information across many users in simulation, by using suitable randomization. Our model is also generic enough to replay any application layer protocol. Validation of our simulation model shows that simulation results obtained using TraceReplay are significantly different from those using other models, and are closer to experimental observations.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131391218","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}
{"title":"CCU: Algorithm for Concurrent Consistent Updates for a Software Defined Network","authors":"Radhika Sukapuram, G. Barua","doi":"10.1109/NCC.2016.7561139","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561139","url":null,"abstract":"A Software Defined Network has its control plane separated from its data plane, with the control plane providing abstractions for development of control programs that alter the state of the network by updating the rules installed in switches. Switch updates are central to an SDN and updates must be such that there are no packet drops or loops. An update property which ensures that the traces generated for a packet are either due to the old network configuration or due to the new configuration, but never a combination of both, thus preventing packet drops and loops, is called per-packet consistency. We envisage that large data center networks supporting multiple tenants and network virtualization will need a large number of concurrent updates due to VM creation, VM migration, network management applications etc. There are algorithms in the literature that enable concurrent updates and improve update speed but they are either not general or do not preserve per-packet consistency. This paper proposes an update algorithm, Concurrent Consistent Updates (CCU), that is general, is per-packet consistent and that enables concurrent disjoint updates. Since the size of a TCAM on a switch is small, rule tables implemented in software are used to supplement the TCAM. The algorithm makes use of a Software Rules Table to restrict updates to only the internal switches that genuinely need an update and to reduce update installation time.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131639614","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}
{"title":"A Taylor series approximation technique for self-interference cancellation in full-duplex radios","authors":"Arjun Nadh, Ankit Sharma, S. Aniruddhan, R. Ganti","doi":"10.1109/NCC.2016.7561156","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561156","url":null,"abstract":"Full-duplex (FD) wireless communication is gaining increasing attention of the wireless industry because of the potential doubling of spectral efficiency. Radio design of an FD transceiver is a key aspect to its realization. The major impediment in realizing an FD radio is the self interference (SI). The received self interference is a filtered version of the transmitted signal, the filter (SI filter) being caused by the multiple transmit paths through the circuit board (or silicon substrate) and the wireless channel. Current techniques for suppressing SI rely on mimicking the SI filter partly in the RF domain (using multiple length RF traces on a PCB) and partly in the digital domain by adaptive techniques. This paper proposes a novel SI cancellation technique, based on Taylor series expansion of the delayed signal, that results in linearizing the delayed self-interference component of the transmitted signal. Linearization not only aids the practicality of analog cancellation by reducing the form factor, but also results in a simple SI filter model in the digital domain. In this paper, in addition to deriving the generic form of the SI filter, we provide experimental evidence for the same.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133270397","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}
{"title":"An efficient formulation and parameter selection for multiple image super-resolution","authors":"A. Sekuboyina, C. Seelamantula","doi":"10.1109/NCC.2016.7561116","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561116","url":null,"abstract":"Enhancing the resolution of an image using the data available from multiple low-resolution images is termed as multiple image super-resolution. It is an ill-posed, inverse problem, the mathematical model of which takes the form of standard image reconstruction problem. The standard mathematical model of the imaging system involves matrix based operators for various effects that the scene undergoes in the process of imaging. The super-resolution problem formulation using this model has intensive storage and processing requirements. We propose an alternative approach to tackle the problem of super-resolution, wherein we view the image not as a vector to be estimated, but as a collection of pixel values on which the operators of the imaging system work. We show that this perspective eliminates the need for large storage requirements and processing times. We also propose a technique to automate the selection of the regularization parameter when the available low-resolution images are free of noise. We observe that this technique is intuitive and follows the variation of the true mean squared error with the regularization parameter.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115824895","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}
{"title":"Small size planar monopole antenna for high speed UWB applications","authors":"N. Kumar, A. Gandhi","doi":"10.1109/NCC.2016.7561094","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561094","url":null,"abstract":"In modern wireless communication, UWB applications are becoming very popular because of reliable, secure and high speed data transmission over smaller distances. In these applications, it is very much essential to have small size printed antennas for transmitting and receiving of UWB signals. However, designing small size printed antennas with good performance is quite a challenging task. In this paper, we discuss performance characteristics of a simple and small size planar monopole antenna for UWB applications. Proposed UWB antenna is covering 10dB return loss frequencies ranging from 2.72GHz to 12.68GHz. This design is achieving a maximum gain of 5.24dBi at 9.25GHz and a maximum efficiency of 96.45% at 3.1GHz. This paper also discusses a reason of enhancement in gain and efficiency reduction at higher frequencies along with UWB antennas requirements. Proposed design dimensions are 30mm×30mm×1.6mm with FR-4 as a dielectric substrate. Because of small size and good performance, proposed UWB antenna can be used in many applications like 4G, wireless body area networks, spectrum sensing in cognitive radio, wireless telemetry, telemedicine and RF energy harvesting. Experimental result shows that, there is a good agreement between the simulated and measured antenna results.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132712102","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}
Abhishek Dey, S. Shahnawazuddin, K. Deepak, Siddika Imani, S. Prasanna, R. Sinha
{"title":"Enhancements in Assamese spoken query system: Enabling background noise suppression and flexible queries","authors":"Abhishek Dey, S. Shahnawazuddin, K. Deepak, Siddika Imani, S. Prasanna, R. Sinha","doi":"10.1109/NCC.2016.7561193","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561193","url":null,"abstract":"In the work presented in this paper, the recent improvements incorporated in the earlier developed Assamese spoken query (SQ) system for accessing the price of agricultural commodities are discussed. The developed SQ system consists of interactive voice response (IVR) and automatic speech recognition (ASR) modules. These are developed using open source resources. The speech data used for developing the ASR system was collected in the field conditions, thus contained significantly high level of background noise. On account of the background noise, the recognition performance of earlier version of the SQ system was severely affected. In order to deal with that, a front-end noise suppression module-based on zero frequency filtering has been added in the current version. Furthermore, we have also incorporated the subspace Gaussian mixture (SGMM) and deep neural network (DNN)-based acoustic modeling approaches. These techniques are found to be more effective than the Gaussian mixture model (GMM)-based approach which was employed in the previous version. The combination of noise removal and DNN-based acoustic modeling is found to result in a relative improvement of almost 32% in word error rate in comparison to the earlier reported GMM-HMM-based ASR system. The earlier SQ system was designed expecting the users' queries in form of isolated words only and, therefore, a high degraded recognition performance was noted whenever the queries were in the form of continuous sentences. In order to overcome that, we present a simple technique exploiting the inherent patterns in the user queries. These patterns are then incorporated in the employed language model. The modified language model is observed to result in significant improvements in the recognition performances in case of continuous queries.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115330399","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}
{"title":"Dynamic display of vocal tract shape for speech training","authors":"Rahul Jain, K. Nataraj, P. C. Pandey","doi":"10.1109/NCC.2016.7561080","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561080","url":null,"abstract":"Children suffering from prelingual hearing impairments have difficulty in speech acquisition due to lack of auditory feedback. They can benefit by speech training aids providing corrective feedback, especially those providing visual feedback of key articulatory efforts. These aids should enable a comparison between the articulatory efforts of the student and that of a teacher or a reference speaker. A system is developed for dynamic display of vocal tract shape to provide visual feedback for production of short voiced utterances. It displays speech waveform, spectrogram, and areagram as validation tools. Intensity, pitch, and vocal tract shape are displayed for use in speech training. LPC analysis of the speech signal is used to estimate the vocal tract shape. Articulatory feedback is provided through 2D mid-sagittal view of the vocal tract, in the form of a variable rate animation emphasizing the place of maximum constriction and the opening at this place. The display has two panels, one for the articulatory efforts of the student and another for that of the teacher, for newly recorded utterances as well as pre-recorded ones.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121953033","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}