Pub Date : 2018-02-01DOI: 10.1109/ICAECC.2018.8479438
Shashidhara B. Vyakaranal, Jayalaxmi G. Naragund
Internet is considered as the worldwide system of many computers and their networks which are linked together by wired or wireless media. Network is based on internet protocol suite which has a model known as Transmission Control Protocol/Internet Protocol (TCP/IP) and a set of protocols. Model consists of TCP and IP as major protocols at transport and network layer respectively. TCP deals with end to end transmission and reassembly of packets. It also focuses on reliable and orderly transmission of packets. There are many TCP variants which are used in communication, such as Reno, Binary Increase Congestion control (BIC) and Vegas. TCP poses many issues like end to end delay in communication, congestion, connection management between sender and receiver end points. Congestion being one of the important issues affects the Quality of Service (QoS) of network and reduces overall network performance because of buffering of data in queue. Different Active Queue Management (AQM) algorithms which handle congestion are Random Early Detection (RED), Proportional Integral controller Enhanced (PIE), Controlled Delay (CoDel). These algorithms efficiently drop the packets when the buffer gets full or when it is near to full based on packet drop signal or other mechanisms. The article discusses about the importance of the right choice of TCP and AQM variant, results have been obtained by practical setup using flent and netpef traffic generator. The proposed work considers the study of different TCP and AQM variants for effective congestion control. Comparative study is conducted by considering selected TCP variant along with different AQM techniques. It reveals that TCP BIC along with CoDel provides less Iatency, high throughput and minimum packet drops.
{"title":"Performance Evaluation of TCP using AQM Schemes for Congestion Control","authors":"Shashidhara B. Vyakaranal, Jayalaxmi G. Naragund","doi":"10.1109/ICAECC.2018.8479438","DOIUrl":"https://doi.org/10.1109/ICAECC.2018.8479438","url":null,"abstract":"Internet is considered as the worldwide system of many computers and their networks which are linked together by wired or wireless media. Network is based on internet protocol suite which has a model known as Transmission Control Protocol/Internet Protocol (TCP/IP) and a set of protocols. Model consists of TCP and IP as major protocols at transport and network layer respectively. TCP deals with end to end transmission and reassembly of packets. It also focuses on reliable and orderly transmission of packets. There are many TCP variants which are used in communication, such as Reno, Binary Increase Congestion control (BIC) and Vegas. TCP poses many issues like end to end delay in communication, congestion, connection management between sender and receiver end points. Congestion being one of the important issues affects the Quality of Service (QoS) of network and reduces overall network performance because of buffering of data in queue. Different Active Queue Management (AQM) algorithms which handle congestion are Random Early Detection (RED), Proportional Integral controller Enhanced (PIE), Controlled Delay (CoDel). These algorithms efficiently drop the packets when the buffer gets full or when it is near to full based on packet drop signal or other mechanisms. The article discusses about the importance of the right choice of TCP and AQM variant, results have been obtained by practical setup using flent and netpef traffic generator. The proposed work considers the study of different TCP and AQM variants for effective congestion control. Comparative study is conducted by considering selected TCP variant along with different AQM techniques. It reveals that TCP BIC along with CoDel provides less Iatency, high throughput and minimum packet drops.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133081342","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}
Pub Date : 2018-02-01DOI: 10.1109/ICAECC.2018.8479469
P. Arunachalam, Navin Kumar
Visible Light Communication (VLC) technology is an emerging technology which promises to offer high data rate, last mile solution, ubiquitous communications, and relief to the most congested radio frequency RF system. Recently, VLC has drawn the attention of researchers around the globe and they are still exploring the applications and services which can be offered by this technology. In this work, a conceptual architecture of hybrid technology that is, VLC with RF is presented and discussed for vehicular environment. The idea is to provide relief to RF spectrum by using downlink signal with VLC technology and uplink transmission using RF. This RF could be a cellular system and/or wireless local area networks (WLAN) working as road side unit (RSU). Analysis is presented to show the VLC system would offer ubiquitous communication on road throughout the driving while illuminating road for the safe drive. Through simulation results, it is shown that the system offers high data rate in the downlink. However, for the uplink, road side units from RF technology based system offer the access to data services.
{"title":"Visible Light Communication and Radio Network for Vehicular Environment","authors":"P. Arunachalam, Navin Kumar","doi":"10.1109/ICAECC.2018.8479469","DOIUrl":"https://doi.org/10.1109/ICAECC.2018.8479469","url":null,"abstract":"Visible Light Communication (VLC) technology is an emerging technology which promises to offer high data rate, last mile solution, ubiquitous communications, and relief to the most congested radio frequency RF system. Recently, VLC has drawn the attention of researchers around the globe and they are still exploring the applications and services which can be offered by this technology. In this work, a conceptual architecture of hybrid technology that is, VLC with RF is presented and discussed for vehicular environment. The idea is to provide relief to RF spectrum by using downlink signal with VLC technology and uplink transmission using RF. This RF could be a cellular system and/or wireless local area networks (WLAN) working as road side unit (RSU). Analysis is presented to show the VLC system would offer ubiquitous communication on road throughout the driving while illuminating road for the safe drive. Through simulation results, it is shown that the system offers high data rate in the downlink. However, for the uplink, road side units from RF technology based system offer the access to data services.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115897197","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}
Pub Date : 2018-02-01DOI: 10.1109/ICAECC.2018.8479506
Utkarsh Sharma, Tanmay Dubey, Vijaya Bhadauria
A modified bulk degeneration technique for source-degenerated OTAs is proposed in this paper. The approach employs drain voltage division and cross-coupling the resultant voltage to the bulk terminal of differential pair which reduces third harmonic distortion (HD3). Simulations are carried on 0.18 $mu {rm m}$ process with 1.8 V power supply which shows that (HD3) is decreased by 14 dB (for frequencies of 100 KHz) as compared to previously reported bulk degenerated transconductors. An added advantage is the variation of DC transconductance using the resistance ratio of the voltage divider circuit which offers the tunability in the transconductance.
{"title":"Linearity Enhancement using Bulk-Degeneration for Source Degenerated OTAs","authors":"Utkarsh Sharma, Tanmay Dubey, Vijaya Bhadauria","doi":"10.1109/ICAECC.2018.8479506","DOIUrl":"https://doi.org/10.1109/ICAECC.2018.8479506","url":null,"abstract":"A modified bulk degeneration technique for source-degenerated OTAs is proposed in this paper. The approach employs drain voltage division and cross-coupling the resultant voltage to the bulk terminal of differential pair which reduces third harmonic distortion (HD3). Simulations are carried on 0.18 $mu {rm m}$ process with 1.8 V power supply which shows that (HD3) is decreased by 14 dB (for frequencies of 100 KHz) as compared to previously reported bulk degenerated transconductors. An added advantage is the variation of DC transconductance using the resistance ratio of the voltage divider circuit which offers the tunability in the transconductance.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115741383","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}
Pub Date : 2018-02-01DOI: 10.1109/ICAECC.2018.8479448
Anzer M Muhammed, A. V., E. K
Human brain is the command centre of the human body. It receives input from sensory organs and sends outputs to the muscles. Brain consists of two types of tissue mainly white matter tissue (anisotropic) and grey matter tissue (isotropic). Active examining of the brain functioning requires certain brain imaging techniques. In order to solve this problem Magnetic resonance imaging (MRI) technique was implemented for the imaging of grey matter of the brain. In 1994 Peter Baser introduced Diffusion Tensor Imaging (DTI), DTI is an advanced variant of MRI which is being implemented for the imaging of white matter tissue of the brain. It uses present MRI technology and no other equipment is required. DTI technique undergoes visualization of the random motion of the water molecules in the white matter tissue of the brain. The random motion of the water molecules can determine the anisotropic and isotropic nature of the white matter portion of the brain. The parameter of analysing the isotropic and anisotropic range is the Fractional Anisotropy (FA). Here, three visualization techniques for DTI namely Scalar Indices, Tensor Glyph, and Fibre Tractography are studied and analysed. The analysis focuses on extracting useful information of the brain in different aspects. This can be useful in studying the internal patterns of the brain which will help in medical diagnosis.
{"title":"Analysis of Visualization Techniques in Diffusion Tensor Imaging (DTI)","authors":"Anzer M Muhammed, A. V., E. K","doi":"10.1109/ICAECC.2018.8479448","DOIUrl":"https://doi.org/10.1109/ICAECC.2018.8479448","url":null,"abstract":"Human brain is the command centre of the human body. It receives input from sensory organs and sends outputs to the muscles. Brain consists of two types of tissue mainly white matter tissue (anisotropic) and grey matter tissue (isotropic). Active examining of the brain functioning requires certain brain imaging techniques. In order to solve this problem Magnetic resonance imaging (MRI) technique was implemented for the imaging of grey matter of the brain. In 1994 Peter Baser introduced Diffusion Tensor Imaging (DTI), DTI is an advanced variant of MRI which is being implemented for the imaging of white matter tissue of the brain. It uses present MRI technology and no other equipment is required. DTI technique undergoes visualization of the random motion of the water molecules in the white matter tissue of the brain. The random motion of the water molecules can determine the anisotropic and isotropic nature of the white matter portion of the brain. The parameter of analysing the isotropic and anisotropic range is the Fractional Anisotropy (FA). Here, three visualization techniques for DTI namely Scalar Indices, Tensor Glyph, and Fibre Tractography are studied and analysed. The analysis focuses on extracting useful information of the brain in different aspects. This can be useful in studying the internal patterns of the brain which will help in medical diagnosis.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122389028","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}
Pub Date : 2018-02-01DOI: 10.1109/ICAECC.2018.8479425
S. S., Sujitha Juliet.D
Game-based education is an effective medium to improve the skills and knowledge of the students. Studies have shown that game improves cognitive skills, creates enthusiasm and motivate students to learn the concepts thoroughly. In this study an educational gaming method is created where concepts have been taken from four subjects (English, Physics, Chemistry and General Knowledge) and explained them with the help of games. This method is developed to improve the speed, vocabulary and learning skills of the students. Games are proven to be effective in improving cognitive skills, reasoning and problem solving skills. This article suggests the need to modify the teaching methods by addition of Game-based educational techniques to improve the quality of learning styles of the students.
{"title":"Education Through Technical Games","authors":"S. S., Sujitha Juliet.D","doi":"10.1109/ICAECC.2018.8479425","DOIUrl":"https://doi.org/10.1109/ICAECC.2018.8479425","url":null,"abstract":"Game-based education is an effective medium to improve the skills and knowledge of the students. Studies have shown that game improves cognitive skills, creates enthusiasm and motivate students to learn the concepts thoroughly. In this study an educational gaming method is created where concepts have been taken from four subjects (English, Physics, Chemistry and General Knowledge) and explained them with the help of games. This method is developed to improve the speed, vocabulary and learning skills of the students. Games are proven to be effective in improving cognitive skills, reasoning and problem solving skills. This article suggests the need to modify the teaching methods by addition of Game-based educational techniques to improve the quality of learning styles of the students.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125923591","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}
Pub Date : 2018-02-01DOI: 10.1109/ICAECC.2018.8479422
G. Shrividya, S. Bharathi
Magnetic Resonance (MR) imaging is a non invasive medical imaging technique used widely for diagnosis. The data collected by MRI scanner is placed in the k-space. Various algorithms are developed to sample the k-space and reconstruct the image from the compressive sampled k-space data. The k-space sampling pattern plays an important role in optimizing compressed sensing magnetic resonance imaging. CS technique violates the Nyquist’s sampling theory by sampling signals at lower rate than conventional sampling rate. CS can reduce scanning time in MRI applications by acquiring very few samples. This paper analyses the Cartesian variable density k-space data sampling pattern with the radial sampling scheme. Qualitative and quantitative analysis are performed on the reconstructed MR Image for different sampling percentages.
{"title":"A study of Optimum Sampling Pattern for Reconstruction of MR Images using Compressive Sensing","authors":"G. Shrividya, S. Bharathi","doi":"10.1109/ICAECC.2018.8479422","DOIUrl":"https://doi.org/10.1109/ICAECC.2018.8479422","url":null,"abstract":"Magnetic Resonance (MR) imaging is a non invasive medical imaging technique used widely for diagnosis. The data collected by MRI scanner is placed in the k-space. Various algorithms are developed to sample the k-space and reconstruct the image from the compressive sampled k-space data. The k-space sampling pattern plays an important role in optimizing compressed sensing magnetic resonance imaging. CS technique violates the Nyquist’s sampling theory by sampling signals at lower rate than conventional sampling rate. CS can reduce scanning time in MRI applications by acquiring very few samples. This paper analyses the Cartesian variable density k-space data sampling pattern with the radial sampling scheme. Qualitative and quantitative analysis are performed on the reconstructed MR Image for different sampling percentages.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128654568","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}
Pub Date : 2018-02-01DOI: 10.1109/ICAECC.2018.8479498
K. Ashish, D. Yeshaswini, B. K. Subhash, T. Ali, R. Biradar
A metamaterial loaded multiband frequency reconfigurable antenna is reported. The antenna has a size of $0.34lambda_{l} times 0.34lambda_{l} times 0.02lambda_{l}$, at a lower frequency of 3.95 GHz. The antenna consists of two metamaterial, namely, Circular Complimentary Split Ring Resonator (CCSRR) and Hexagonal Complimentary Split Ring Resonator (HCSRR), which independently controls the band at 3.95 and 5.72 GHz, respectively. The proposed antenna shows resonance at 3.95, 5.72 and 8.3 GHz, with fractional bandwidths of about 5.12% (3.8-4 GHz), 2.33% (5.51-5.64 GHz) and 4.22% (8.1-8.45 GHz). Frequency reconfiguration in the proposed antenna is achieved by utilizing two metallic switches, by placing them between the rectangular slot present in the radiating part and the ground plane. When both the switches are ON antenna operates at single band. When either of the switch is ON antenna operates at dual band. When both the switches are OFF, antenna operates at triple band. Acceptable gain, stable radiation pattern and good impedance matching are observed across the operating bandwidths.
{"title":"A Metamaterial based Multiband Frequency Reconfigurable Antenna for Wireless Applications","authors":"K. Ashish, D. Yeshaswini, B. K. Subhash, T. Ali, R. Biradar","doi":"10.1109/ICAECC.2018.8479498","DOIUrl":"https://doi.org/10.1109/ICAECC.2018.8479498","url":null,"abstract":"A metamaterial loaded multiband frequency reconfigurable antenna is reported. The antenna has a size of $0.34lambda_{l} times 0.34lambda_{l} times 0.02lambda_{l}$, at a lower frequency of 3.95 GHz. The antenna consists of two metamaterial, namely, Circular Complimentary Split Ring Resonator (CCSRR) and Hexagonal Complimentary Split Ring Resonator (HCSRR), which independently controls the band at 3.95 and 5.72 GHz, respectively. The proposed antenna shows resonance at 3.95, 5.72 and 8.3 GHz, with fractional bandwidths of about 5.12% (3.8-4 GHz), 2.33% (5.51-5.64 GHz) and 4.22% (8.1-8.45 GHz). Frequency reconfiguration in the proposed antenna is achieved by utilizing two metallic switches, by placing them between the rectangular slot present in the radiating part and the ground plane. When both the switches are ON antenna operates at single band. When either of the switch is ON antenna operates at dual band. When both the switches are OFF, antenna operates at triple band. Acceptable gain, stable radiation pattern and good impedance matching are observed across the operating bandwidths.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132283052","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}
Pub Date : 2018-02-01DOI: 10.1109/ICAECC.2018.8479436
Sayandeep Bhattacharjee, S. Kishore, A. Swetapadma
In this work various supervised learning techniques such as support vector machine (SVM), perceptron neural network (PNN), recurrent neural network (RNN) and back-propagation neural network (BPNN) has been used for human activity classification using signals collected from smart sensors. Collected features are used as input to the classifiers to recognize different human activity such as Walking, Walking upstairs, Walking Downstairs, Sitting, Standing, Laying Down etc. Highest accuracy obtained for SVM, PNN, RNN and BPNN are 59.11, 94.10, 97.55, and 97.40% respectively. Highest accuracy obtained for activity classification is 97.55% which is for RNN. Hence the method can be used effectively for human activity monitoring.
{"title":"A Comparative Study of Supervised Learning Techniques for Human Activity Monitoring Using Smart Sensors","authors":"Sayandeep Bhattacharjee, S. Kishore, A. Swetapadma","doi":"10.1109/ICAECC.2018.8479436","DOIUrl":"https://doi.org/10.1109/ICAECC.2018.8479436","url":null,"abstract":"In this work various supervised learning techniques such as support vector machine (SVM), perceptron neural network (PNN), recurrent neural network (RNN) and back-propagation neural network (BPNN) has been used for human activity classification using signals collected from smart sensors. Collected features are used as input to the classifiers to recognize different human activity such as Walking, Walking upstairs, Walking Downstairs, Sitting, Standing, Laying Down etc. Highest accuracy obtained for SVM, PNN, RNN and BPNN are 59.11, 94.10, 97.55, and 97.40% respectively. Highest accuracy obtained for activity classification is 97.55% which is for RNN. Hence the method can be used effectively for human activity monitoring.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131255520","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}
Pub Date : 2018-02-01DOI: 10.1109/ICAECC.2018.8479520
R. Krishankumar, K. S. Ravichandran, J. Premaladha, M. I. Ahmed
The usage of smart phones by Indian students is tremendously growing at faster pace. To cope with the high-end demand, mobile manufacturers have to make rational decisions regarding the market expansion and quality improvement. To critical decision, in this paper, a new scientific decision framework called SPMS is (smart phone manufacturer selector) presented. The SPMS consist of three stages viz., data acquisition and pre-processing stage, data fusion and criteria weighting stage and selection/ranking stage. The data is collected from questionnaires which are completed by students of colleges in and around Thanjavur district. The missing information in the dataset are completed using bin by mean method, followed by feature set reduction is done using Gini index method. In the second stage, linguistic information are aggregated using frequency match aggregation (FMA) operator with unconstrained weight values. Further, criteria weights are determined using standard variance (SV) method under linguistic context. Finally, ranking of smart phone manufacturers is done using VIKOR method under linguistic context. The practicality and usefulness of the proposed framework is demonstrated using a case study for smart phone selection. The strength and weakness of the proposal is also realized by comparison with other state-of-art frameworks.
{"title":"SPMS: A Scientific Decision Framework forbSmartphone Manufacturer Selection using Linguistic Preferences","authors":"R. Krishankumar, K. S. Ravichandran, J. Premaladha, M. I. Ahmed","doi":"10.1109/ICAECC.2018.8479520","DOIUrl":"https://doi.org/10.1109/ICAECC.2018.8479520","url":null,"abstract":"The usage of smart phones by Indian students is tremendously growing at faster pace. To cope with the high-end demand, mobile manufacturers have to make rational decisions regarding the market expansion and quality improvement. To critical decision, in this paper, a new scientific decision framework called SPMS is (smart phone manufacturer selector) presented. The SPMS consist of three stages viz., data acquisition and pre-processing stage, data fusion and criteria weighting stage and selection/ranking stage. The data is collected from questionnaires which are completed by students of colleges in and around Thanjavur district. The missing information in the dataset are completed using bin by mean method, followed by feature set reduction is done using Gini index method. In the second stage, linguistic information are aggregated using frequency match aggregation (FMA) operator with unconstrained weight values. Further, criteria weights are determined using standard variance (SV) method under linguistic context. Finally, ranking of smart phone manufacturers is done using VIKOR method under linguistic context. The practicality and usefulness of the proposed framework is demonstrated using a case study for smart phone selection. The strength and weakness of the proposal is also realized by comparison with other state-of-art frameworks.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114690075","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}
Pub Date : 2018-02-01DOI: 10.1109/ICAECC.2018.8479528
Electa Alice Jayarani. A, M. R. Bhatt, G. D
In the past decade the world has seen a monumental growth in technology. At the same time the technology has lead the human kind to a threat as always there is an exploit of the invention. The current trend is posting all multimedia files on internet instantly without any security. This has lead to tremendous problem to the owners of multimedia file. Thus prevention of multimedia file has given higher priority in recent years. In this paper on sparse audio data watermarking by exploiting Haar transform structure is discussed. Experimental results are provided to analysis the proposed algorithm without degrading the quality of the audio.
{"title":"On sparse Audio Data Watermarking by Exploiting Haar Transform Structure","authors":"Electa Alice Jayarani. A, M. R. Bhatt, G. D","doi":"10.1109/ICAECC.2018.8479528","DOIUrl":"https://doi.org/10.1109/ICAECC.2018.8479528","url":null,"abstract":"In the past decade the world has seen a monumental growth in technology. At the same time the technology has lead the human kind to a threat as always there is an exploit of the invention. The current trend is posting all multimedia files on internet instantly without any security. This has lead to tremendous problem to the owners of multimedia file. Thus prevention of multimedia file has given higher priority in recent years. In this paper on sparse audio data watermarking by exploiting Haar transform structure is discussed. Experimental results are provided to analysis the proposed algorithm without degrading the quality of the audio.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115824828","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}
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