2016 IEEE Annual India Conference (INDICON)最新文献_第5页

Sensing error minimization for cognitive radio in dynamic environment using death penalty differential evolution based threshold adaptation 基于死刑差分进化阈值自适应的动态环境下认知无线电感知误差最小化

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838865

Soumyadip Das, S. Mukhopadhyay

引用次数: 3

Testing of floating point unit using BIST with parallelism 使用并行的BIST测试浮点单元

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7839023

Deepali Koppad, N. Akhila

{"title":"Testing of floating point unit using BIST with parallelism","authors":"Deepali Koppad, N. Akhila","doi":"10.1109/INDICON.2016.7839023","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7839023","url":null,"abstract":"Arithmetic computations can be on integer or floating(real) numbers. In digital systems, ALU handles arithmetic operations. However, ALU is not suitable for handling operations on real numbers as the result may not be precise and accurate. Hence to perform operations on real numbers digital systems use a dedicated unit called floating point unit(FPU). In this paper, the designed FPU is single precision and operates on IEEE - 754 - 2008 format. The available arithmetic operations on this FPU are floating point multiplication, division, addition and subtraction. The designed FPU can operate on both normal(normalized) and subnormal(denormalized) numbers present in floating point numbers. In this paper, stuck-at fault model using Built in self test(BIST) method is designed for the floating point unit to check the fault in the design. Basic idea behind the BIST is testing the device by itself. The proposed design is modified for parallel testing by dividing the FPU into 3 independent blocks. In this method when one of the blocks is in its normal operation the other block of the FPU is tested in parallel. The design's RTL code is written in Verilog HDL and Xilinx Vivado 2015 is used for simulation. The proposed method reduces the dynamic power by 10.47% compared to the conventional method.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130600148","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

A dynamic scheme for user load balancing in a multi-carrier LTE-Advanced network 一种多载波LTE-Advanced网络中用户负载均衡的动态方案

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838917

I. Baig, S. Chaudhuri, D. Das

{"title":"A dynamic scheme for user load balancing in a multi-carrier LTE-Advanced network","authors":"I. Baig, S. Chaudhuri, D. Das","doi":"10.1109/INDICON.2016.7838917","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7838917","url":null,"abstract":"To achieve ever increasing demand for higher user throughput, 3rd Generation Partnership Project (3GPP) have introduced Carrier Aggregation (CA) feature in the Long-Term Evolution — Advanced (LTE-A) standard. Wherein, the CA feature widens the transmission bandwidth by aggregating multiple Component Carriers (CCs) to meet the demand for higher data rate. To the best of our knowledge, till now available literatures have not addressed the challenges related to presence of multiple carriers in a base station system which usually results in the problem of user load imbalance among carriers due to improper and static user load assignment across CCs. In this paper, to solve the above challenges, we present a Dynamic and Optimal CC Load Balancing Scheme (DOCC-LBS) for user assignment across CCs via Multi-Objective Optimizations in which both, core network traffic load and channel quality conditions of CC are taken into account. The proposed novel dynamic load balancing scheme effectively balances the user load across CCs while achieving high user throughput. The analytical model and simulation results reveal that under the proposed mechanism the average user throughput doubles when compared with existing load balancing schemes such as Round Robin (RR) and Maximum Component Carrier to Interference (MCCI).","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130445742","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

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7839032

K. V. V. Girish, T. Ananthapadmanabha, A. Ramakrishnan

引用次数: 2

Design of inter process communication methodology in automatic spacecraft checkout environment 航天器自动检测环境中进程间通信方法设计

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838950

C. Saranya, S. Sreedevi, Sheena Jose, Muthumani Rajan, Usha Bhandiwad, U. Kumari

引用次数: 0

Feature normalization for enhancing early detection of cardiac disorders 特征归一化有助于早期发现心脏疾病

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838937

Swati Negi, C. S. Kumar, A. A. Kumar

{"title":"Feature normalization for enhancing early detection of cardiac disorders","authors":"Swati Negi, C. S. Kumar, A. A. Kumar","doi":"10.1109/INDICON.2016.7838937","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7838937","url":null,"abstract":"Early detection of cardiac disorders can help save many lives. Time and frequency domain statistical features derived from RR interval series of electrocardiogram (ECG) signals with a support vector machine (SVM) backend classifier can be used for distinguishing congestive heart failure (CHF) and sudden cardiac death (SCD) patients from the normal sinus rhythm (NSR) patients. We empirically found that ninety minutes of duration gave the optimal classification results after exploring with different heart rate variability (HRV) time durations. We obtained a classification accuracy of 92.85% for our baseline system using linear SVM kernel. In this work, the input statistical features consists of patient independent and patient specific variations. The patient specific variations were considered as noise in the input feature vector, while patient independent variations as informative. In this work, we experimented with two approaches. The first approach used was principal component analysis (PCA) to obtain dimensionality reduced features with maximum information stored. We obtained a performance improvement of 0.65% absolute over the baseline system. In the second approach, covariance normalization (CVN) was used to remove/minimize the effect of patient specific variations. The overall system performance was improved by 1.96% absolute over the baseline system.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126391156","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: 8

Analysis of product Twitter data though opinion mining 基于意见挖掘的产品推特数据分析

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7839025

Roshan Fernandes, Rio G. L. D'Souza

{"title":"Analysis of product Twitter data though opinion mining","authors":"Roshan Fernandes, Rio G. L. D'Souza","doi":"10.1109/INDICON.2016.7839025","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7839025","url":null,"abstract":"In recent years, there is a rapid growth in online communication. There are many social networking sites and related mobile applications, and some more are still emerging. Huge amount of data is generated by these sites everyday and this data can be used as a source for various analysis purposes. Twitter is one of the most popular networking sites with millions of users. There are users with different views and varieties of reviews in the form of tweets are generated by them. In this paper, we have concentrated on providing the opinion on the particular product using the Twitter data. There are millions of reviews on single product and it would be impossible for the customer or the organization to read each review and judge the quality of the product. This implementation paper provides the opinion mining on particular product based on reviews. The work includes determination of positivity, negativity of tweets and provides overall percentage of positive, negative and neutral tweets. The main idea behind this work is that the customer should automatically get suggestion about the product based on previous tweets. This implementation paper also provides effective decision making opinion to the customer and also provides feedback to the company to improve their product and business.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126103119","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: 18

A compact H-shaped slot triple-band microstrip antenna for WLAN and WiMAX applications 一种紧凑的h形槽三带微带天线，用于WLAN和WiMAX应用

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838999

Anand Kumar

引用次数: 10

Lossy image compression — A frequent sequence mining perspective employing efficient clustering 有损图像压缩-采用高效聚类的频繁序列挖掘视角

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838977

Avinash Kadimisetty, C. Oswald, B. Sivaselvan, K. Alekhya

引用次数: 4

Vision based autonomous guidance algorithm for terminal descent phase of soft lunar landing 基于视觉的软月着陆末下降阶段自主制导算法

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838974

A. Banerjee, M. Mohan, R. Padhi

引用次数: 0