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Facial emotion analysis using deep convolution neural network 基于深度卷积神经网络的面部情绪分析
2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-28 DOI: 10.1109/CSPC.2017.8305872
G. Kumar, R. Kumar, G. Sanyal
{"title":"Facial emotion analysis using deep convolution neural network","authors":"G. Kumar, R. Kumar, G. Sanyal","doi":"10.1109/CSPC.2017.8305872","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305872","url":null,"abstract":"Human emotions are mental states of feelings that arise spontaneously rather than through conscious effort and are accompanied by physiological changes in facial muscles which implies expressions on face. Some of critical emotions are happy, sad, anger, disgust, fear, surprise etc. Facial expressions play a key role in non-verbal communication which appears due to internal feelings of a person that reflects on the faces. In order to computer modeling of human's emotion, a plenty of research has been accomplished. But still it is far behind from human vision system. In this paper, we are providing better approach to predict human emotions (Frames by Frames) using deep Convolution Neural Network (CNN) and how emotion intensity changes on a face from low level to high level of emotion. In this algorithm, FERC-2013 database has been applied for training. The assessment through the proposed experiment confers quite good result and obtained accuracy may give encouragement to the researchers for future model of computer based emotion recognition system.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123209460","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: 54
Novel filter designing for enhancement of medical images using super-resolution 利用超分辨率增强医学图像的新型滤波器设计
2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-28 DOI: 10.1109/CSPC.2017.8305849
Ashwini S. Sawan, Sukalp S. Kamdi, D. M. Khatri, Deepti S. Urhekar, Chirag D. Bohra
{"title":"Novel filter designing for enhancement of medical images using super-resolution","authors":"Ashwini S. Sawan, Sukalp S. Kamdi, D. M. Khatri, Deepti S. Urhekar, Chirag D. Bohra","doi":"10.1109/CSPC.2017.8305849","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305849","url":null,"abstract":"Medical imaging plays a vital role in the diagnosis and treatment of any ailment or disorder. The resolution of medical images thus becomes crucial in obtaining accurate details for diagnosis and treatment. X-ray and Magnetic Resonance Imaging. Technique are the two acquisition techniques which are widely used in medical imaging. The images acquired by these processes are of low resolution. But due to the limitations of the equipment cost and complexity, the resolution of the images cannot be improved in situ. The method of Super-resolution uses either a single low resolution image or a set of multiple low resolution images improves the image resolution, PSNR (Peak Signal to Noise Ratio) and the quality Index. In the last few decades many super-resolution methods were proposed. These methods had limitations in their utility due to the assumed model of data and noise. In this paper, we have proposed a method of enhancement of knee image taken using X-ray, MRI using TV regularization, shock, median, frost and wiener filter for noise removal. We also calculate the Joint Space Distance which becomes important in treatment of knee ailments like Rheumatoid Arthritis.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117241877","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
Adopting cross layer approach for detecting and segregating malicious nodes in MANET 采用跨层方法对MANET中的恶意节点进行检测和分离
2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-28 DOI: 10.1109/CSPC.2017.8305890
J. Vinayagam, C. Balaswamy, K. Soundararajan
{"title":"Adopting cross layer approach for detecting and segregating malicious nodes in MANET","authors":"J. Vinayagam, C. Balaswamy, K. Soundararajan","doi":"10.1109/CSPC.2017.8305890","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305890","url":null,"abstract":"In this paper, we propose a cross layer approach to detect the malicious node in MANET. We develop a cross layer data monitoring algorithm in order to correlate the MAC (Medium Access Control) layer parameters with network layer parameters for effectively detecting malicious nodes from the network. For segregating the malicious nodes, our approach utilizes both the single and cross layer parameters. information about detected malicious node ids from the network is broadcasted to the other nodes in the network. The routing protocol which is used in the simulation is AODV (Ad Hoc On-Demand Distance Vector). The performance of our technique is proved by the simulation of our system model using the network simulator NS-2. Experimental analysis reveals that our proposed approach defends the Black hole attack with better performance in terms of packet loss ratio, packet delivery ratio and Normalized Routing Load.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123428380","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
An innovative application for car engine disparity check — A novel attempt 汽车发动机差差检测的创新应用——一种新颖的尝试
2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-28 DOI: 10.1109/CSPC.2017.8305833
M. H. Priya, S. K. Vasudevan
{"title":"An innovative application for car engine disparity check — A novel attempt","authors":"M. H. Priya, S. K. Vasudevan","doi":"10.1109/CSPC.2017.8305833","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305833","url":null,"abstract":"Automotive industries play a dominant role in the development of car engine. Car engine consists of electrical and mechanical components that are highly complex in structure. Faults in the car engine may cause the entire system to fail. Disparity check for damaged component in the assembled car engine is very important and a developing area in automotive research sector. There are many techniques used in fault detection and for missing components in the assembled cars. In this paper, we present the automated disparity check system for assembled car's engine. Automated inspection system implemented using feature matching technique to inspect the assembled car and to find the missing/damaged components. It is observed to be very fast and accurate. The proposed system detects any missing components and detail them with a label. Complete system has been developed with Matlab and image processing techniques [4]. The research can be further elevated with more Augmented Reality concepts being brought in.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121672577","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
Music genre classification using spatan 6 FPGA and TMS320C6713 DSK 音乐类型分类采用spatan6 FPGA和TMS320C6713 DSK
2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-28 DOI: 10.1109/CSPC.2017.8305838
Solomon Saju, R. Rajan, A. Jayan
{"title":"Music genre classification using spatan 6 FPGA and TMS320C6713 DSK","authors":"Solomon Saju, R. Rajan, A. Jayan","doi":"10.1109/CSPC.2017.8305838","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305838","url":null,"abstract":"Music genre classification is one of the most important element of the music information retrieval (MIR) community. In this paper, we present a music genre classification system using field programmable gate arrays (FPGA) and dedicated DSP processors. The proposed system uses FPGA based acoustic feature extraction of mel frequency cepstral coefficients (MFCC) and dynamic time warping (DTW) based classifier using TMS320C6713 floating point processor. We successfully implemented MFCC extraction algorithm on Spartan 6 FPGA clocked at 150 MHz with support from TMS320C6713 floating point processor followed by DTW based matching engine. The paper attempts to implement music genre classification algorithm in hardware, yielding competitive performance in music information retrieval applications.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133951812","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 comparitive study on traditonal healthcare system and present healthcare system using cloud computing and big data 基于云计算和大数据的传统医疗保健系统与现代医疗保健系统的比较研究
2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-28 DOI: 10.1109/CSPC.2017.8305852
Manikandan Shanmugam, Monisha Singh
{"title":"A comparitive study on traditonal healthcare system and present healthcare system using cloud computing and big data","authors":"Manikandan Shanmugam, Monisha Singh","doi":"10.1109/CSPC.2017.8305852","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305852","url":null,"abstract":"Cloud computing is one the emerging technology which provides all the necessary resources required for day to day operations of an organization in a virtual environment. It is also known as green computing as it reduces the physical existence of the hardware resources. Health is being considered as a basic right for an individual. Even though there are advancements in the healthcare sector of India when compared to earlier stages, there is still a need for betterment in this sector. In order to make progress in this field, constant learning and better economic standards are needed. This paper provides a comparative view of the progress made by India in the healthcare sector after the introduction of two major technologies such as cloud computing and big data.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122044313","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
Dynamic reliable algorithm for IoT based systems 基于物联网系统的动态可靠算法
2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-28 DOI: 10.1109/CSPC.2017.8305850
N. Prasath, Nalini Sampath, S. K. Vasudevan
{"title":"Dynamic reliable algorithm for IoT based systems","authors":"N. Prasath, Nalini Sampath, S. K. Vasudevan","doi":"10.1109/CSPC.2017.8305850","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305850","url":null,"abstract":"“Internet of Things” — The Recent development of this decade has initiated many innovative start-ups. The Internet of Things, being a distinct and developing domain, is now being researched by many eminent firms and scientists. This definitely leads to a world which is completely connected with machines that have the ability to communicate between themselves. This paper gives a different approach for implementing Machine-To-Machine communication using the Internet. Load balancing is the main focus of this paper. The proposed algorithm produces a good results when implemented.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125903423","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
A survey on data mining classification algorithms 数据挖掘分类算法综述
2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-28 DOI: 10.1109/CSPC.2017.8305851
S. Umadevi, K. S. J. Marseline
{"title":"A survey on data mining classification algorithms","authors":"S. Umadevi, K. S. J. Marseline","doi":"10.1109/CSPC.2017.8305851","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305851","url":null,"abstract":"Data mining refers to extracting or mining knowledge from large amount of data. It is also defined as finding hidden information from a database. It is a technique which is used primarily for discovering unknown patterns and that converts raw data into user understandable information. Nowadays it is being increasingly used in science and technology to extract the vast amount of data. Classification is the separating the given data according to their characteristics similar to one another. These are some of the classification methods Naïve Bayes Classifier, Decision tree, Neural Networks, and Support Vector Machine.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131062951","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: 56
Automatic irrigation system using soil moisture sensor and temperature sensor with microcontroller AT89S52 自动灌溉系统采用土壤湿度传感器和温度传感器，配有单片机AT89S52
2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-28 DOI: 10.1109/CSPC.2017.8305835
I. Srilikhitha, M. Saikumar, Nannu Rajan, M. Neha, M. Ganesan
{"title":"Automatic irrigation system using soil moisture sensor and temperature sensor with microcontroller AT89S52","authors":"I. Srilikhitha, M. Saikumar, Nannu Rajan, M. Neha, M. Ganesan","doi":"10.1109/CSPC.2017.8305835","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305835","url":null,"abstract":"Food production techniques have to be improved because of rapid demand in food. Since India has agriculture as the main source of production, proper irrigation schemes are to be employed for an efficient outcome. This design automates the irrigation process thereby reducing the manual intervention and the water losses. It is more helpful in the places where water scarcity is seen more. It consists of 2 sensors which takes the values of temperature of surroundings and moisture level of soil. Output of these sensors are given to ADC and then to microcontroller. Microcontroller compares the values with the threshold values and drives the relay which controls the motor. LCD display is used to display data in the field. GSM modem is also a part of design which helps in transmitting SMS to farmer's phone number which contains the status of motor in field. The design is cost effective and also affordable.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125872675","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: 17
Multi-view learning for classification of EMG template 基于多视图学习的肌电图模板分类
2017 International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2017-07-01 DOI: 10.1109/CSPC.2017.8305893
A. Hazarika, M. Bhuyan, M. Barthakur, L. Dutta
{"title":"Multi-view learning for classification of EMG template","authors":"A. Hazarika, M. Bhuyan, M. Barthakur, L. Dutta","doi":"10.1109/CSPC.2017.8305893","DOIUrl":"https://doi.org/10.1109/CSPC.2017.8305893","url":null,"abstract":"Goal: The paper addresses a multi-view learning model (MVL) making use of subspace model for classification of Electromyography (EMG) templates. Method: For comprehensive representation of class information multi-view patterns are generated for predefined classes by dint of formulation pursuit, followed by correlation measures to estimate low dimensional embeddings (LDEs). The LDEs with statistical significant p-values are fused and fed to ensemble learning models. Results: The models have been demonstrated with benchmark EMG data sets. Experimental aftermaths and subsequent comparison with stateof-the-arts in terms of accuracy, sensitivity and specificity manifest the efficacy of proposed MVL. Conclusion: The algorithm effectively classifies both pathological and normal templates with learned patterns. Thus, it promises to alleviate the onus of clinician of large volume data and also expedite the large scale diagnosis research. Further, it ensures the suitable adaption to home-care health monitoring portable devices. Significance: The MVL automatically identifies EMG templates with significant reduction of dimensionality and complexity.","PeriodicalId":123773,"journal":{"name":"2017 International Conference on Signal Processing and Communication (ICSPC)","volume":"101 8 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":"123161776","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
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