Pub Date : 1900-01-01DOI: 10.1109/ISCO.2014.7103934
D. Suganthi
This paper presents enhancement of speech by removal of the impulsive noise in the speech signals. The impulsive noise results in surface degradation of audio recordings and the degradation of intelligibility in speech signals. To enhance the speech component from impulsive disturbance we go for emphasis, signal segmentation and log MMSE filtering. Pre-emphasis is done to increase the magnitude of high frequencies in the speech signal. Then the signal is segmented and the segmented frames are filtered in log MMSE filter. This filter does not require an inventory of pre-recorded clean signals. This method proposes a speaker independent speech enhancement.
{"title":"Improved speech enhancement by removal of impulsive noise","authors":"D. Suganthi","doi":"10.1109/ISCO.2014.7103934","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103934","url":null,"abstract":"This paper presents enhancement of speech by removal of the impulsive noise in the speech signals. The impulsive noise results in surface degradation of audio recordings and the degradation of intelligibility in speech signals. To enhance the speech component from impulsive disturbance we go for emphasis, signal segmentation and log MMSE filtering. Pre-emphasis is done to increase the magnitude of high frequencies in the speech signal. Then the signal is segmented and the segmented frames are filtered in log MMSE filter. This filter does not require an inventory of pre-recorded clean signals. This method proposes a speaker independent speech enhancement.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124649051","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 : 1900-01-01DOI: 10.1109/ISCO.2014.7103925
N. Vetrekar, R. Gad
Use of Biometric systems has been increased in past decades due to increasing demands of security. The unimodal biometric system has to suffer from problems such as intra class variation, noise in the sensor data etc. This problem can be solved using multimodal biometric fusion. In this paper authors have compared the Hyperspectral and multimodal (fingerprint and face) fusion at matching score level. The Hyperspectral images were fused for combinations like 650+710nm, 650+710+770 nm and the performance parameter like False Non Match Rate (FNMR) and False Match Rate (FMR) have been performed. The performance parameters for Hyperspectral imagery outperform that of the facial mode for a single spectral band i.e. 650nm. Also parameters for the Hyperspectral fusion of 650+710nm, 650+710+770nm combinations spectral modes are promising and are comparable for higher order combination to that of multimodal fusion biometrics. It is observed that the Hyperspectral fusion for higher spectral bands combinations is linear improvements in Equal Error Rate (EER) percentage.
{"title":"Hyperspectral biometrics for facial mode: An alternate approach to multimode method","authors":"N. Vetrekar, R. Gad","doi":"10.1109/ISCO.2014.7103925","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103925","url":null,"abstract":"Use of Biometric systems has been increased in past decades due to increasing demands of security. The unimodal biometric system has to suffer from problems such as intra class variation, noise in the sensor data etc. This problem can be solved using multimodal biometric fusion. In this paper authors have compared the Hyperspectral and multimodal (fingerprint and face) fusion at matching score level. The Hyperspectral images were fused for combinations like 650+710nm, 650+710+770 nm and the performance parameter like False Non Match Rate (FNMR) and False Match Rate (FMR) have been performed. The performance parameters for Hyperspectral imagery outperform that of the facial mode for a single spectral band i.e. 650nm. Also parameters for the Hyperspectral fusion of 650+710nm, 650+710+770nm combinations spectral modes are promising and are comparable for higher order combination to that of multimodal fusion biometrics. It is observed that the Hyperspectral fusion for higher spectral bands combinations is linear improvements in Equal Error Rate (EER) percentage.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125293865","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 : 1900-01-01DOI: 10.1109/ISCO.2014.7103917
Biranchi Panda, M. V. A. Raju Bahubalendruni, B. Biswal
Welding is a basic manufacturing process for making components or assemblies with good mechanical properties. Resistance spot welding (RSW) is used frequently as a successful joining method for a variety of work commonly in automotive and other manufacturing processes. Because of complicacy during the RSW and lots of interferential factors, especially short-time property of the process, it is very difficult to build a mathematical model that can predict the output accurately. This paper presents a novel technique based on general regression neural network to approximate the relationship between welding parameters (welding current, electrode force, welding time and metal sheet thickness) and the failure load that can withstand the joint. A model is formulated from the trained experimental data through general regression neural network. Differential Evolution Algorithm is then applied on to the model to obtain the optimum combination of welding parameters to offer better weld joint strength at low power consuption.
{"title":"Optimization of resistance spot welding parameters using differential evolution algorithm and GRNN","authors":"Biranchi Panda, M. V. A. Raju Bahubalendruni, B. Biswal","doi":"10.1109/ISCO.2014.7103917","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103917","url":null,"abstract":"Welding is a basic manufacturing process for making components or assemblies with good mechanical properties. Resistance spot welding (RSW) is used frequently as a successful joining method for a variety of work commonly in automotive and other manufacturing processes. Because of complicacy during the RSW and lots of interferential factors, especially short-time property of the process, it is very difficult to build a mathematical model that can predict the output accurately. This paper presents a novel technique based on general regression neural network to approximate the relationship between welding parameters (welding current, electrode force, welding time and metal sheet thickness) and the failure load that can withstand the joint. A model is formulated from the trained experimental data through general regression neural network. Differential Evolution Algorithm is then applied on to the model to obtain the optimum combination of welding parameters to offer better weld joint strength at low power consuption.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116950753","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 : 1900-01-01DOI: 10.1109/ISCO.2014.7103941
R. R. De (Maity), R. Mudi
To start with, practicing engineers generally use Ziegler-Nichols tuned PID (ZNPID) controllers in most of the process control loops. However, to achieve satisfactory performance ZNPID is manually fine tuned using operator's knowledge. To avoid such manual involvement, this paper proposes a fuzzy logic based High Performance PID Controller (HP-PID) incorporating operator's strategy in running a plant. In HP-PID, depending upon the process trend the proportional and integral gains of ZNPID are continuously updated by an online gain modifier `α', which is derived by firing 25 fuzzy rules defined on the process error and change of error. Performance of the proposed HP-PID under both set point change and load disturbance is observed for a number of linear and nonlinear higher order processes with considerable changes in process dead time. It shows noticeably improved performance compared to ZNPID and augmented ZNPID (AZNPID) recently reported in the leading literature.
{"title":"Fuzzy logic based high performance PID controller","authors":"R. R. De (Maity), R. Mudi","doi":"10.1109/ISCO.2014.7103941","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103941","url":null,"abstract":"To start with, practicing engineers generally use Ziegler-Nichols tuned PID (ZNPID) controllers in most of the process control loops. However, to achieve satisfactory performance ZNPID is manually fine tuned using operator's knowledge. To avoid such manual involvement, this paper proposes a fuzzy logic based High Performance PID Controller (HP-PID) incorporating operator's strategy in running a plant. In HP-PID, depending upon the process trend the proportional and integral gains of ZNPID are continuously updated by an online gain modifier `α', which is derived by firing 25 fuzzy rules defined on the process error and change of error. Performance of the proposed HP-PID under both set point change and load disturbance is observed for a number of linear and nonlinear higher order processes with considerable changes in process dead time. It shows noticeably improved performance compared to ZNPID and augmented ZNPID (AZNPID) recently reported in the leading literature.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133945798","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 : 1900-01-01DOI: 10.1109/ISCO.2014.7103931
Ganesh V. Karredla, CH Lalit Srinivas
Due to every increasing demand and need of a rapid urban passenger and freight rail transit system at affordable cost, it is required to enhance the present system capacity to meet these higher demands. The best adopted common methods are to increase the number of bogies of a train or to shorten the train separation intervals by using more effective block control means. In this paper a study on Indian railway two-aspect absolute block system signaling is attempted and we propose a quasi moving block system as a redundant non vital system model for class `B' single line two-aspect absolute block signaling system and present an instantaneous adequate distance formula under this quasi moving block system. We also computed and compared the steady state capacity of a two-aspect single straight line for both absolute block system and quasi moving block system for different wait times and block section lengths. The train headways can be effectively controlled by reducing the wait time for line clearance, thereby enhancing the track utilization.
{"title":"A quasi-moving block redundant non vital system model for conventional single line absolute block railway system","authors":"Ganesh V. Karredla, CH Lalit Srinivas","doi":"10.1109/ISCO.2014.7103931","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103931","url":null,"abstract":"Due to every increasing demand and need of a rapid urban passenger and freight rail transit system at affordable cost, it is required to enhance the present system capacity to meet these higher demands. The best adopted common methods are to increase the number of bogies of a train or to shorten the train separation intervals by using more effective block control means. In this paper a study on Indian railway two-aspect absolute block system signaling is attempted and we propose a quasi moving block system as a redundant non vital system model for class `B' single line two-aspect absolute block signaling system and present an instantaneous adequate distance formula under this quasi moving block system. We also computed and compared the steady state capacity of a two-aspect single straight line for both absolute block system and quasi moving block system for different wait times and block section lengths. The train headways can be effectively controlled by reducing the wait time for line clearance, thereby enhancing the track utilization.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124818337","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 : 1900-01-01DOI: 10.1109/ISCO.2014.7103951
D. Sharmilarani, N. Kousika, G Komarasamy
One of the major problems in cluster analysis is the determination of the number of clusters in unlabeled data, which is a basic input for most clustering algorithms. In our paper, we investigate a new method for automatically estimating the number of clusters in unlabeled data sets, which is based on an existing algorithm for Spectral Visual Assessment of Cluster Tendency (SpecVAT) of a data set, using several common image and signal processing techniques. Its basic steps include 1) generating a VAT image of an input dissimilarity matrix, 2) Constructing Laplacian matrix 3) Normalize the rows and 4) Apply SpecVAT. Our new method is nearly “automatic,” depending on just one easy-to-set parameter. In this paper we propose direct visual validation method and divergence matrix for finding the automatic clustering. The experimental result shows that the proposed algorithm is much better than the other algorithms.
{"title":"Modified K-means algorithm for automatic stimation of number of clusters using advanced visual assessment of cluster tendency","authors":"D. Sharmilarani, N. Kousika, G Komarasamy","doi":"10.1109/ISCO.2014.7103951","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103951","url":null,"abstract":"One of the major problems in cluster analysis is the determination of the number of clusters in unlabeled data, which is a basic input for most clustering algorithms. In our paper, we investigate a new method for automatically estimating the number of clusters in unlabeled data sets, which is based on an existing algorithm for Spectral Visual Assessment of Cluster Tendency (SpecVAT) of a data set, using several common image and signal processing techniques. Its basic steps include 1) generating a VAT image of an input dissimilarity matrix, 2) Constructing Laplacian matrix 3) Normalize the rows and 4) Apply SpecVAT. Our new method is nearly “automatic,” depending on just one easy-to-set parameter. In this paper we propose direct visual validation method and divergence matrix for finding the automatic clustering. The experimental result shows that the proposed algorithm is much better than the other algorithms.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125962679","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 : 1900-01-01DOI: 10.1109/ISCO.2014.7103939
D. Simhachalam, R. Mudi
We propose a self-tuning fuzzy PID controller (STFPIDC) for non-linear and higher-order processes with dead time whose output scaling factor (SF) is continuously adjusted in each sampling instant by a non-fuzzy gain modifying factor γ, which is defined on the sign of error and change of error of the controlled variable, and the number of their uniform fuzzy partitions. Performance of the proposed controller is studied for non-linear and higher-order processes with dead-time under both set-point change and load disturbance. Performance comparisons with other FLCs are provided in terms of various performance indices along with transient responses. Simulated results justify the effectiveness of the proposed STFPIDC.
{"title":"Self-tuning fuzzy PID controller for non-linear and higher-order processes","authors":"D. Simhachalam, R. Mudi","doi":"10.1109/ISCO.2014.7103939","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103939","url":null,"abstract":"We propose a self-tuning fuzzy PID controller (STFPIDC) for non-linear and higher-order processes with dead time whose output scaling factor (SF) is continuously adjusted in each sampling instant by a non-fuzzy gain modifying factor γ, which is defined on the sign of error and change of error of the controlled variable, and the number of their uniform fuzzy partitions. Performance of the proposed controller is studied for non-linear and higher-order processes with dead-time under both set-point change and load disturbance. Performance comparisons with other FLCs are provided in terms of various performance indices along with transient responses. Simulated results justify the effectiveness of the proposed STFPIDC.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124758414","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 : 1900-01-01DOI: 10.1109/ISCO.2014.7103936
Manish Kumar Sahu, Satyadharma Bharti
This paper presents the implementation of a novel three phase three leg AC/AC converter on an arbitrary load. Since the number of switches required in this converter is only nine which is much less than that of the number of switches required in three phase matrix converter, the gate drivers used in this converter is reduced drastically which in turn reduces the cost and losses of the system by more than thirty percent. Apart from those only six pulses is required to drive the circuit with the help of space vector modulation (SVPWM) which is used to control the input current and hence unity power factor is maintained. The duty cycle calculation for the input current control is also shown. Simulation results show the effectiveness and efficiency of the proposed technique.
{"title":"Simulation of three phase three leg Ac/Ac converter using Svpwm with six pulses","authors":"Manish Kumar Sahu, Satyadharma Bharti","doi":"10.1109/ISCO.2014.7103936","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103936","url":null,"abstract":"This paper presents the implementation of a novel three phase three leg AC/AC converter on an arbitrary load. Since the number of switches required in this converter is only nine which is much less than that of the number of switches required in three phase matrix converter, the gate drivers used in this converter is reduced drastically which in turn reduces the cost and losses of the system by more than thirty percent. Apart from those only six pulses is required to drive the circuit with the help of space vector modulation (SVPWM) which is used to control the input current and hence unity power factor is maintained. The duty cycle calculation for the input current control is also shown. Simulation results show the effectiveness and efficiency of the proposed technique.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"57 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806632","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 : 1900-01-01DOI: 10.1109/ISCO.2014.7103943
R. Janani, A. S. S. Sarma
Computerized analysis of microscopic cross sectional images of plant parts is useful for authentication and quality assessment of plant materials. The analysis involves segmentation of cells in the cross section, extraction of cell features and classification of cells. The segmentation of individual cells plays a major role in realistic estimation of cell parameters for identification and classification of cells. However, the segmentation of the cells is adversely influenced due to presence of cell inclusions like starch grains which are stained with different colored dyes for improved visibility. During segmentation, the stained inclusions touching the boundary of the cells result in boundary cavities which deform the shape of the segmented cells. The present paper describes an image processing technique for accurate segmentation of cells in the presence of stained cell inclusions. The proposed method corrects the shape of individual cells by identifying and selective filling of the boundary cavities resulting from stained inclusions with the help of convex image of the cells and morphological skeleton of the background region. The proposed method is demonstrated by testing a plant cross sectional image containing starch grains.
{"title":"Segmentation of cells with inclusions in plant cross sectional images","authors":"R. Janani, A. S. S. Sarma","doi":"10.1109/ISCO.2014.7103943","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103943","url":null,"abstract":"Computerized analysis of microscopic cross sectional images of plant parts is useful for authentication and quality assessment of plant materials. The analysis involves segmentation of cells in the cross section, extraction of cell features and classification of cells. The segmentation of individual cells plays a major role in realistic estimation of cell parameters for identification and classification of cells. However, the segmentation of the cells is adversely influenced due to presence of cell inclusions like starch grains which are stained with different colored dyes for improved visibility. During segmentation, the stained inclusions touching the boundary of the cells result in boundary cavities which deform the shape of the segmented cells. The present paper describes an image processing technique for accurate segmentation of cells in the presence of stained cell inclusions. The proposed method corrects the shape of individual cells by identifying and selective filling of the boundary cavities resulting from stained inclusions with the help of convex image of the cells and morphological skeleton of the background region. The proposed method is demonstrated by testing a plant cross sectional image containing starch grains.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114400570","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 : 1900-01-01DOI: 10.1109/isco.2014.7103899
Ayesha Khan, Ceo Ms. Ayesha Khan
The rapid development in Technologies and changes in lifestyle imposing serious environmental issues in many countries. India is facing very serious environmental issues due to lack of environmental awareness among people. The Conference ISCO 2014 has been crafted to challenge the hurdles and we are fortunate to have leading speakers to share their experience and perspectives to achieve smart solutions.
{"title":"Message from the chief executive officer","authors":"Ayesha Khan, Ceo Ms. Ayesha Khan","doi":"10.1109/isco.2014.7103899","DOIUrl":"https://doi.org/10.1109/isco.2014.7103899","url":null,"abstract":"The rapid development in Technologies and changes in lifestyle imposing serious environmental issues in many countries. India is facing very serious environmental issues due to lack of environmental awareness among people. The Conference ISCO 2014 has been crafted to challenge the hurdles and we are fortunate to have leading speakers to share their experience and perspectives to achieve smart solutions.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132354708","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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