2015 IEEE International Advance Computing Conference (IACC)最新文献_第5页

Performance analysis of concatenated convolutional and Reed Solomon coding with interleaving in optical communication channels 光通信信道中交织级联卷积和里德-所罗门编码的性能分析

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154795

Devarani Devi Ningombam, U. S. Acharya

引用次数: 4

Imaging inverse problem using sparse representation with adaptive dictionary learning 基于自适应字典学习的稀疏表示成像反问题

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154901

Mittu George, D. Vivek, Dr. Joonki Paik

{"title":"Imaging inverse problem using sparse representation with adaptive dictionary learning","authors":"Mittu George, D. Vivek, Dr. Joonki Paik","doi":"10.1109/IADCC.2015.7154901","DOIUrl":"https://doi.org/10.1109/IADCC.2015.7154901","url":null,"abstract":"Sparse representation is one of the powerful emerging statistical techniques for modeling images. This representation approximates the image as a combination of the codewords within a dictionary which is over complete. Recent years have seen a tremendous growth in the field of sparse representation. Here a method is proposed for image inversing by using iterative deblurring based on sparse representation of an image which is uniformly blurred. The key idea behind this methodology is the sparseness of natural images in some domain. The quality of recovered image majorly depends on the domain or the dictionaries that are used to represent it. In this paper, the K-SVD algorithm is used to train the group of codewords from a set of quality natural image patches. For each of the local patch within the blurred image, the best suited sub-dictionary from the trained dictionary data base is selected. In addition, a smoothness regularization constraint is added that prevents the reblurring of the image edges. For numerical stability the sparsity weight is adaptively computed which also improves the reconstructed image quality. Comparative study on some of the existing restoration algorithm proves the proposed method outperforms them all.","PeriodicalId":123908,"journal":{"name":"2015 IEEE International Advance Computing Conference (IACC)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121213253","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: 3

Comparative study of area, delay and power dissipation for LECTOR and INDEP (leakage control techniques) at 70 nm technology node 70 nm工艺节点下LECTOR和INDEP(漏控技术)的面积、延迟和功耗比较研究

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154761

A. P. Shah, V. Neema, Shreeniwas Daulatabad

引用次数: 5

Extraction of Hard Exudates using Functional Link Artificial Neural Networks 基于功能链接人工神经网络的硬渗出物提取

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154742

K. Udaya Bhaskar, E. Pranay Kumar

引用次数: 1

AUTO-FIR - Automobile's first information record AUTO-FIR -汽车的第一个信息记录

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154879

Murugesh Gorajanal, Priyanka Mannikeri, Venkatesh Nayak, Vikas Deshpande, M. Bhille

{"title":"AUTO-FIR - Automobile's first information record","authors":"Murugesh Gorajanal, Priyanka Mannikeri, Venkatesh Nayak, Vikas Deshpande, M. Bhille","doi":"10.1109/IADCC.2015.7154879","DOIUrl":"https://doi.org/10.1109/IADCC.2015.7154879","url":null,"abstract":"Today, technology has been repetitively subjected to changes. So with the inception of technology and improvisation of the same, developments in embedded systems have sky rocketed and are fast approaching the zenith. As an effect of such change over the past several years NHTSA (National Highway Traffic Safety Administration) has been actively involved in using Event Data Recorders (EDR) in high end automobiles like flights, cars and some two wheelers like Kawasaki's Ninja. EDR's collect crash information which assists in real world data collection and also helps in understanding specific aspects of the crash. India ranks first in road accidents, for every 3.7 minutes road mishap snuffs out a life. What are the root causes for so many accidents to happen? Where are the details stored after the accident? Was there any fault with the motorcycle? How about false insurance claims? The proposed work addresses the above questions and aims to collect the information which aids investigations of causes of accident and helps in improvement of motorcycle standards. Information from this device can be collected to determine the condition of motorcycle before the time of accident. An embedded system is mounted on two wheelers which records the events like brake, gear, speed, stand and congestion. The results of analysis show that the recorders can report real world crash data and therefore be a powerful tool by providing useful information to crash reconstruction experts.","PeriodicalId":123908,"journal":{"name":"2015 IEEE International Advance Computing Conference (IACC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123037687","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: 3

Cryptographic algorithm optimisation 密码算法优化

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154876

S. K. Dhanuka, Priyam Sachdeva, Sharukh S. Shaikh

引用次数: 1

Design and implement Automated Procedure to upgrade remote network devices using Python 使用Python设计和实现自动化程序来升级远程网络设备

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154701

K. Jambunatha

引用次数: 7

HDL implementation of Kalman Filter for GNSS receiver GNSS接收机卡尔曼滤波器的HDL实现

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154717

Namrata Rawal

引用次数: 1

Patent search and trend analysis 专利检索和趋势分析

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154759

A. M. Supraja, S. Archana, S. Suvetha, T. Geetha

{"title":"Patent search and trend analysis","authors":"A. M. Supraja, S. Archana, S. Suvetha, T. Geetha","doi":"10.1109/IADCC.2015.7154759","DOIUrl":"https://doi.org/10.1109/IADCC.2015.7154759","url":null,"abstract":"A patent is an intellectual property document that protects new inventions. It covers how things work, what they do, how they do it, what they are made of and how they are made. The owner of the granted patent application has the ability to take a legal action to stop others from making, using, importing or selling the invention without permission. While applying for a patent, the inventor has issues in identifying similar patents. Citations of related patents, which are referred to as the prior art, should be included while applying for a patent. We propose a system to develop a Patent Search Engine to identify related patents. We also propose a system to predict Business Trends by analyzing the patents. In our proposed system, we carry out a query independent clustering of patent documents to generate topic clusters using LDA. From these clusters, we retrieve query specific patents based on relevance thereby maximizing the query likelihood. Ranking is based on relevancy and recency which can be performed using BM25F algorithm. We analyze the Topic-Company trends and forecast the future of the technology which is based on the Time Series Algorithm - ARIMA. We evaluate the proposed methods on USPTO patent database. The experimental results show that the proposed techniques perform well as compared to the corresponding baseline methods.","PeriodicalId":123908,"journal":{"name":"2015 IEEE International Advance Computing Conference (IACC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127742786","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

Reducing power consumption of smart device by proper management of Wakelocks 通过合理的Wakelocks管理，降低智能设备的功耗

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154832

Pratiksha Patil, Jinalkumar Doshi, D. Ambawade

引用次数: 13