2016 Twenty Second National Conference on Communication (NCC)最新文献_第9页

A novel approach to remove random-valued impulse noise from digital image 一种从数字图像中去除随机脉冲噪声的新方法

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-01 DOI: 10.1109/NCC.2016.7561165

G. Tanwar, S. Chaudhuri

引用次数: 2

Improved analysis of Diabetic Maculopathy using level set spatial fuzzy clustering 利用水平集空间模糊聚类改进糖尿病黄斑病变分析

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-01 DOI: 10.1109/NCC.2016.7561198

J. Medhi, S. Dandapat

{"title":"Improved analysis of Diabetic Maculopathy using level set spatial fuzzy clustering","authors":"J. Medhi, S. Dandapat","doi":"10.1109/NCC.2016.7561198","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561198","url":null,"abstract":"Patients suffering from Diabetic Retinopathy are at a high risk of sight threatening disease, the Diabetic Maculopathy. It gets initiated with the deposition of lesions formed from blood constituents, in a region of one optic disc diameter centered at fovea of retina. The effect becomes vision threatening when the deposition of the lesions spread close to fovea. These lesions are of two types, namely bright lesions such as soft and hard Exudates and dark lesions including Microaneurysms and Hemorrhages. The detection of the lesions become difficult when they overlap or lie close to each other. In this paper, we have presented a novel method for improving the detection of bright and dark lesions in positive Diabetic Maculopathy images. The algorithm consists of two stages. Initially the fovea is detected and the region for analysis of Maculopathy is marked. Secondly, level set spatial fuzzy clustering is performed over the region to enhance the detection of lesions and hence analysis of the disease. The performance evaluation of the proposed method is carried out by comparing the result with manually segmented ground truth images, obtained with the help of ophthalmologists. The results show improvement of the analysis as compared to present methodologies.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115118274","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}

引用次数: 2

LFSR identification using Groebner bases 利用Groebner碱基进行LFSR鉴定

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-01 DOI: 10.1109/NCC.2016.7561164

S. Vijayakumaran

引用次数: 0

Velocity based dynamic Flow Mobility in converged LTE/Wi-Fi networks 融合LTE/Wi-Fi网络中基于速度的动态流量移动性

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-01 DOI: 10.1109/NCC.2016.7561196

Prashant Sharma, Thomas Valerrian Pasca S, N. Kamath, B. R. Tamma

{"title":"Velocity based dynamic Flow Mobility in converged LTE/Wi-Fi networks","authors":"Prashant Sharma, Thomas Valerrian Pasca S, N. Kamath, B. R. Tamma","doi":"10.1109/NCC.2016.7561196","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561196","url":null,"abstract":"In recent years, the boost of mobile-phones, tablets and smart devices with data-hungry applications has caused massive growth in demand of “Mobile data services” and fulfilling this demand is a very challenging task with all the available resources of cellular networks. This has brought us to the option of offloading traffic from the cellular networks to Wi-Fi networks. Offloading on Wi-Fi network for static users is comparatively easy when compared to mobile users because switching mobile users to Wi-Fi network may cause unnecessary ping-pong effect, packet loss and delay during vertical handovers. But the flow mobility solutions like PMIPv6 and DSMIPv6 provide the mechanism to offload traffic from one network to another network seamlessly and offloading is done at the granularity of flows instead of moving the entire traffic generated by the mobile user. The idea is to intelligently move certain flows onto either network so as to achieve better throughput and thereby improve the capacity of the heterogeneous network. User mobility plays a significant role while moving a flow across different networks. Generally, offloading decisions are based on signal quality and load of the networks. In this paper, we propose an integrated offloading approach, called as Velocity based Integrated Flow Mobility (VIFM), for converged LTE/Wi-Fi networks, which considers the signal quality, network load and user velocity to maximize the network performance. We studied the performance of VIFM in different scenarios using extensive NS-3 simulations and found that it reduces unnecessary flow handovers by 50% and increases the Wi-Fi network utilization by 12% when compared to previous techniques [1].","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121982077","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}

引用次数: 0

Class specificity and commonality based discriminative dictionary for speaker verification 基于类特异性和共性的说话人识别词典

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-01 DOI: 10.1109/NCC.2016.7561185

Nagendra Kumar, R. Sinha

{"title":"Class specificity and commonality based discriminative dictionary for speaker verification","authors":"Nagendra Kumar, R. Sinha","doi":"10.1109/NCC.2016.7561185","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561185","url":null,"abstract":"This paper explores the learning of speaker dictionary encoding class-specific and class-common information to enhance the discriminative ability in context of sparse representation based speaker verification (SV). Typically, the KSVD learned dictionary is employed that is well suited for minimizing the representation error, but is not optimized for classification purpose. The work is motivated by a similar objective approach reported in context of image classification. In this work, we explore that idea on NIST 2012 speaker recognition evaluation dataset which forms a large size multi-variability SV task. The learned discriminative dictionary is initialized with an exemplar dictionary accounting for the class-specific part while a global KSVD learned dictionary having a small number of atoms initializes the class-common part. As the atoms in common part are not intended to capture the discriminative information, the sparse coefficients corresponding to those are discarded during the classification and the decision is made using the remaining coefficients only. The explored method is contrasted with the sparse representation over exemplar dictionary and the state-of-the-art i-vector Gaussian PLDA based SV methods. The explored method is noted to provide a relative improvements of 4.5% and 13% in terms of the average decision cost factor (CDET) and the equal error rate (EER) when compared with the exemplar based SV method. On the other hand, it results in poor EER but a relative improvement of 15% in CDET in contrast to the i-vector Gaussian PLDA method. The explored approach is also noted to be more robust to additive noise.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127432755","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}

引用次数: 4

CRLH TL-unit cell loaded tri-band circularly polarized crossed dipole antenna CRLH tl单元负载三波段圆极化交叉偶极子天线

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-01 DOI: 10.1109/NCC.2016.7561117

K. Saurav, D. Sarkar, Yogesh Pal Singh, K. V. Srivastava

引用次数: 1

Path Loss model for Indian terrain - empirical approach 印度地形的路径损失模型-经验方法

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-01 DOI: 10.1109/NCC.2016.7561183

H. Rath, Sonakshi Verma, Anantha Simha, A. Karandikar

{"title":"Path Loss model for Indian terrain - empirical approach","authors":"H. Rath, Sonakshi Verma, Anantha Simha, A. Karandikar","doi":"10.1109/NCC.2016.7561183","DOIUrl":"https://doi.org/10.1109/NCC.2016.7561183","url":null,"abstract":"It has been observed that the existing path loss models such as Hata, Okumura, and COST-231-Walfisch-Ikegami do not help in accurately predicting path loss for Indian terrain conditions. Since path loss values impacts the cost of operation along with Quality of Services (QoS) significantly, a new path loss model is desired. Modelling an accurate path loss model for Indian terrain requires terrain/city planning along with the building data, extensive drive tests for radio signal characterization, wireless telecom operator data related to Base Station (BTS) location, transmission power, height, tilt, etc. All these factors make the path loss modeling difficult and challenging. In this direction, we have proposed Tata Dense Urban Path loss (T-DUP) model which is a non-deterministic statistical model applicable for Indian cities. The proposed path loss model is validated through extensive drive tests at Bangalore with the help of a major Indian Telecom Operator operating at 1800 MHz. We have observed that the T-DUP model is statistically robust and is closely matching to the drive test results. We have also conducted statistical analysis and have illustrated the impact of various city planning parameters such as building heights, building separation, road widths, etc., on path loss model. We believe that T-DUP model can be extended to other frequency bands operating in India with appropriate tuning of parameters.","PeriodicalId":279637,"journal":{"name":"2016 Twenty Second National Conference on Communication (NCC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127959125","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}

引用次数: 12

A novel Quantized Gradient Direction based face image representation and recognition technique 一种新的基于量化梯度方向的人脸图像表示与识别技术

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-01 DOI: 10.1109/NCC.2016.7561186

M. Parlewar, H. Patil, K. Bhurchandi

引用次数: 2

Algorithms for faster overlay creation under high growth rate in query network based overlaid multicasting 基于查询网络的覆盖组播在高增长率下快速创建覆盖的算法

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-01 DOI: 10.1109/NCC.2016.7561129

Ashutosh Singh, Anurag Dwivedi, Y. N. Singh

引用次数: 0

Analysis of impartial quality measurements on Indian broadband connections 印度宽带连接的公正质量测量分析

2016 Twenty Second National Conference on Communication (NCC) Pub Date : 2016-03-01 DOI: 10.1109/NCC.2016.7561135

T. Prasad, Dhruv Shekhawat, Sukanto Guha, Neena Goveas, Bharat M. Deshpande

引用次数: 1