2017 International Conference on Signal Processing and Communication (ICSPC)最新文献_第10页

Efficient myocardial ischemia classifier based on statistical features with random weight settings 基于随机权值设置统计特征的高效心肌缺血分类器

2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-01 DOI: 10.1109/CSPC.2017.8305814

H. Murthy, M. Meenakshi

引用次数: 0

Effective bug triage with Prim's algorithm for feature selection 使用Prim算法进行特征选择的有效bug分类

2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-01 DOI: 10.1109/CSPC.2017.8305842

Snehal Chopade, P. More

{"title":"Effective bug triage with Prim's algorithm for feature selection","authors":"Snehal Chopade, P. More","doi":"10.1109/CSPC.2017.8305842","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305842","url":null,"abstract":"For constructing any software application or item it is essential to identify the bug in the item while building up the product. At every stage of testing the bug report is created, more of the time is wasted for settling the bug. In settling the bug, software enterprises waste 45 percent of cost. One of the basic systems for settling the bug is bug triage. It is a process for settling the bugs whose fundamental object is to properly allocate a designer to a novel bug for further taking handling. If the assigned developer is busy or not available then this system assigns a new domain specific developer. Initially manual work is accomplished for each time creating the bug report. After that content analysis strategies are functional to conduct normal bug triage. The current framework resists the problem of data reduction in the settling of bugs naturally. Furthermore there is a need of methods which decreases the range likewise enhances the excellence of bug data. For feature collection which is not given precise outcome traditional framework utilized CHI technique. In this way this framework proposed the technique for feature selection by utilizing the Prim's strategy. By joining the instance selection and the feature selection calculations to simultaneously diminish the data scale likewise upgrade precision of the bug reports in the bug triage. By utilizing Prim's strategy, noisy words are removed from the dataset set. From the experimental result it is displayed that accuracy of the proposed system is greater than the accuracy of the existing system.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114774790","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

Frequency reconfigurable antennas: A review 频率可重构天线:综述

2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-01 DOI: 10.1109/CSPC.2017.8305830

R. M. C. Cleetus, G. Bala

引用次数: 10

Vision based lane detection and departure warning system 基于视觉的车道检测与偏离预警系统

2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-01 DOI: 10.1109/CSPC.2017.8305846

Priya V. Date, V. Gaikwad

引用次数: 6

Screening of sleep apnea with decomposition of photoplethysmogram to extract respiratory rate 利用光容积图分解提取呼吸频率筛查睡眠呼吸暂停

2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-01 DOI: 10.1109/CSPC.2017.8305863

E. Jothi, J. Anitha

{"title":"Screening of sleep apnea with decomposition of photoplethysmogram to extract respiratory rate","authors":"E. Jothi, J. Anitha","doi":"10.1109/CSPC.2017.8305863","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305863","url":null,"abstract":"Sleep Apnea is a life threatening sleep syndrome, more prevalent among the adult population and has several serious health issues associated with it. It is a silent killer disease often left unnoticed by the individuals affected by the syndrome. Sleep apnea is mainly due to some obstructions in the upper airway and therefore named as Obstructive Sleep Apnea (OSA), where the normal breathing stops completely for a specific period of time and starts again with a loud snore or cough. Individuals affected with OSA are likely to experience such episodes several times during sleep and therefore suffer from an incisive lack of oxygen. The Photoplethysmogram (PPG) signal obtained from pulse oximeter has the unique characteristics of monitoring this cursory lack of oxygen in the blood. This is a simple non-invasive technique from which the respiratory effort signal can be extracted by applying suitable algorithms. The ultimate goal of this work is to analyze the strength of different frequency components of the PPG signal and to estimate the respiratory rate (RR) by decomposing the signal into several intrinsic mode functions (IMFs), thereby extracting the respiratory modulation. The technique involved is empirical mode decomposition, which applies the Hilbert Spectral Analysis (HAS) method to the IMFs to obtain the instantaneous frequency data. The instantaneous frequency peaks extracted by decomposing the PPG signal reflects the respiratory rate. The dataset of sleep apnea patients, downloaded online is analyzed using the algorithm and the error rate obtained for measuring the respiration rate by using the above stated methodology is about ± 8%.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"110 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132027312","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

Myanmar speech synthesis system by using phoneme concatenation method 缅甸语语音合成系统采用音素拼接法

2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-01 DOI: 10.1109/CSPC.2017.8305878

C. Hlaing, A. Thida

{"title":"Myanmar speech synthesis system by using phoneme concatenation method","authors":"C. Hlaing, A. Thida","doi":"10.1109/CSPC.2017.8305878","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305878","url":null,"abstract":"For Myanmar language, there has been great effort in speech processing so that Myanmar text to speech (MTTS) is one of the interesting research topics for Myanmar natural language processing field. Generally, Myanmar language is the syllabic language and the combination of consonant and vowel phonemes can make syllable. In this paper, we proposed new phoneme concatenation algorithm for MTTS system. Consequently, firstly, we created phoneme speech database in which there are only 125 phoneme units that can speech out for any Myanmar texts. It is very suitable for resource limited devices, such as mobile phones. In our proposed system, firstly, the system accepts input Myanmar texts and then these texts are normalized for next processing. After that, the standized texts are converted into phoneme sequences by using proposed phonological rules that can get the high quality MTTS system. Detecting phrase boundary is also considered to assign pause duration for the purpose of getting more natural sounding MTTS. In the case of speech generation, we concatenate the phoneme speech units with our proposed algorithm. According to the experimental result, our proposed phoneme concatenation algorithm achieves the acceptable level of intelligibility and naturalness for Myanmar speech output.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127547791","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

On-grid DOA estimation method using orthogonal matching pursuit 基于正交匹配跟踪的网格上DOA估计方法

2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-03-29 DOI: 10.1109/CSPC.2017.8305896

Abhishek Aich, P. Palanisamy

引用次数: 17