2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)最新文献_第3页

Emotion recognition on the basis of audio signal using Naive Bayes classifier 基于音频信号的朴素贝叶斯分类器情感识别

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732408

Sagar K. Bhakre, Arti V. Bang

{"title":"Emotion recognition on the basis of audio signal using Naive Bayes classifier","authors":"Sagar K. Bhakre, Arti V. Bang","doi":"10.1109/ICACCI.2016.7732408","DOIUrl":"https://doi.org/10.1109/ICACCI.2016.7732408","url":null,"abstract":"In this paper we have studied and implemented the classification of audio signal into four basic emotional state. For that we have considered different statistical features of pitch, energy, and ZCR (Zero Crossing Rate) MFCC (Mel frequency cepstral coefficient) from 2000 utterances of the created audio signal database. In that, Pitch feature is extracted by AMDF (average magnitude difference method) and energy is calculated by sum of square absolute value of magnitude spectrum. And MFCC is calculated by taking DCT (Discrete cosine transform) of its energies spectrum by keeping the DCT coefficients 1-14 and discarding the rest. In statistical modeling, regression analysis is a statistical process for calculating approximately the variables. It comprise many techniques for modeling and analyzing several variables. In this paper Naïve Bayes Classifier is used to classify the audio signal into four different emotions. Speech signal is random signal so we have to predict the future sample and Naïve Bayes Classifier is totally probability based classifier so in speech analysis for accurate prediction we are using Naïve Bayes classifier. In the speech signal for recognition of signal classifier require millions of dataset. The advantage of Naïve Bayes classifier is that it recognizes the signal with minimum dataset.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116832078","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: 32

Bluetooth RSSI based collision avoidance in multirobot environment 基于蓝牙RSSI的多机器人避碰

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732373

P. Lijina., Kumaar A. A. Nippun

引用次数: 13

Functional Flow Diagram(FFD): Semantics for evolving software 功能流程图(FFD):用于演化软件的语义

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732377

Vaishali Chourey, Meena Sharma

{"title":"Functional Flow Diagram(FFD): Semantics for evolving software","authors":"Vaishali Chourey, Meena Sharma","doi":"10.1109/ICACCI.2016.7732377","DOIUrl":"https://doi.org/10.1109/ICACCI.2016.7732377","url":null,"abstract":"In the current scenario, component-based system development approaches have led to reuse based development and espousal of large-scale software systems. To analyze the design of such systems and assess its performance is not a trivial task. Model-based testing tools have maturely signified the success of functional testing of such systems. An urge to spawn the testing of non-functional behavior from development models is further expected. Reliability assessment is one such aspect. However, the design models have not been employed in the prevailing non-functional assessment techniques. Assuming the strength of such models and the need to devise assessment measures, an attempt to formalize architectural models to this context is presented in the paper. Our paper focuses on deriving an intermediate notation for non-functional evaluation of the software systems. The concept of modeling, annotating constraints and making a visual of component interaction patterns is the scope of the work. The new model thus generated has features similar to the System's Engineering “Functional Flow Diagram” and will be used with same definitions for the software components.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117263360","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: 5

Computational characterization of cerebellum granule neuron responses to auditory and visual inputs 小脑颗粒神经元对听觉和视觉输入反应的计算表征

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732020

Chaitanya Medini, Arathi G. Rajendran, Aiswarya Jijibai, B. Nair, Shyam Diwakar

{"title":"Computational characterization of cerebellum granule neuron responses to auditory and visual inputs","authors":"Chaitanya Medini, Arathi G. Rajendran, Aiswarya Jijibai, B. Nair, Shyam Diwakar","doi":"10.1109/ICACCI.2016.7732020","DOIUrl":"https://doi.org/10.1109/ICACCI.2016.7732020","url":null,"abstract":"The multimodal nature of sensory and tactile inputs to cerebellum is of significance for understanding brain function. Granule neuron properties in modifying auditory and visual stimuli was mathematically modeled in this study. Cerebellum granule neuron is a small electrotonically compact neuron and is among the largest number of neurons in the cerebellum. Granule neurons receives four excitatory inputs from four different mossy fibers. We mathematically reconstructed the firing patterns of both auditory and visual responses and decode the mossy fiber input patterns from both modalities. A detailed multicompartment biophysical model of granule neuron was used and in vivo behavior was modeled with short and long bursts. The cable compartmental model could reproduce input-output behavior as seen in real neurons to specific inputs. The response patterns reveal how auditory and visual patterns are encoded by the mossy fiber-granule cell relay and how multiple information modalities are processed by cerebellum granule neuron as responses of auditory and visual stimuli.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129761829","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: 1

The winner decision model of tic tac toe game by using multi-tape turing machine 基于多磁带图灵机的井字游戏赢家决策模型

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732107

S. Garg, Dalpat Songara

引用次数: 5

Automatic expression recognition and expertise prediction in Bharatnatyam Bharatnatyam中的自动表情识别和专家预测

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732321

P. Venkatesh, D. Jayagopi

引用次数: 3

Entropy based informative content density approach for efficient web content extraction 基于熵的信息内容密度方法的高效web内容提取

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732034

M. Annam, G. Sajeev

引用次数: 7

Common mode implications of a dynamic latched comparator 动态锁存比较器的共模含义

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732216

Anurag Sharma, G. Singh

引用次数: 0

Characterization of valveless micropump for drug delivery by using piezoelectric effect 利用压电效应的无阀给药微泵特性研究

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732368

S. Atul, M. C. L. Babu

引用次数: 13

Quantitative analysis of break-lock in monopulse receiver phase-locked loop using noise jamming signal 利用噪声干扰信号定量分析单脉冲接收机锁相环的破锁

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732129

Harikrishna Paik, N. N. Sastry, I. Santiprabha

{"title":"Quantitative analysis of break-lock in monopulse receiver phase-locked loop using noise jamming signal","authors":"Harikrishna Paik, N. N. Sastry, I. Santiprabha","doi":"10.1109/ICACCI.2016.7732129","DOIUrl":"https://doi.org/10.1109/ICACCI.2016.7732129","url":null,"abstract":"It is evident that noise jamming is one of the several active jamming techniques employed against tracking radars and missile seekers. The noise jamming mainly aims at completely masking the desired radar signal by the externally injected noise signal. Of several parameters to be considered for the analysis of noise jamming problem, the noise jammer power is one of the most critical parameter. In this paper, emphasis is given for estimation and quantitative analyses of the effectiveness of break-lock in a missile borne phase locked loop (PLL) based monopulse radar receiver using external noise signal. The analyses involve estimating the jamming signal power required to break-lock as a function of radar echo signal power through computer simulation and experimental measurements. The simulation plots representing the receiver PLL output are presented for selected echo signal powers from -14 dBm to -2 dBm. The simulation results are compared and verified with experimental results and it is established that these results are close approximate within 2 dB. It is noted that the measured values of jamming signal power at break-lock using HMC702LP6CE, HMC703LP4E and HMC830LP6GE PLL synthesizers are -19.5 dBm, -18.1 dBm and -17.6 dBm, respectively, while the simulated value is -18.8 dBm for a typical radar echo signal power of -10 dBm. The fairly good and consistent agreement between these results validates the simulation data.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123943972","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