2019 |
Mishra, Rohit; Barnwal, Santosh Kumar; Malviya, Shrikant; Mishra, Prasoon; Tiwary, Uma Shanker Prosodic Feature Selection of Personality Traits for Job Interview Performance Inproceedings Abraham, Ajith; Cherukuri, Aswani Kumar; Melin, Patricia; Gandhi, Niketa (Ed.): Intelligent Systems Design and Applications, pp. 673–682, Springer International Publishing, Cham, 2019, ISBN: 978-3-030-16657-1. @inproceedings{10.1007/978-3-030-16657-1_63, title = {Prosodic Feature Selection of Personality Traits for Job Interview Performance}, author = {Rohit Mishra and Santosh Kumar Barnwal and Shrikant Malviya and Prasoon Mishra and Uma Shanker Tiwary}, editor = {Ajith Abraham and Aswani Kumar Cherukuri and Patricia Melin and Niketa Gandhi}, isbn = {978-3-030-16657-1}, year = {2019}, date = {2019-04-12}, booktitle = {Intelligent Systems Design and Applications}, pages = {673--682}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {In this work, we perform feature selection on fifty-six prosodic features (such as intensity, formants, pause) extracted from the MIT-interview dataset. These features help in rating the various personality traits (Engaged, Excited, Friendly, Speaking Rate) which in turn help to determine an interviewee performance. First, we have demonstrated how the top few prosodic features are selected based upon the mutual information gain that gives better performance for rating personality trait rather than taking all fifty-six prosodic features. Second, a set of experiments has been conducted under various regression models of different parameter settings, and their performances are compared. At last, we have listed top selected prosodic features for each personality trait that give better results compared to total fifty-six prosodic features. It is found out that for rating personality trait such as `Engaged' and `Excited', prosodic features related to intensity and pitch plays a major role while for `Friendly', prosodic features such as maximum-duration of pause and percentage-breaks, take a major role apart from intensity and pitch. Similarly, for rating personality trait `Speaking Rate', prosodic features computed related to first formant, third formant, total pause duration, percentage-breaks are more relevant.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } In this work, we perform feature selection on fifty-six prosodic features (such as intensity, formants, pause) extracted from the MIT-interview dataset. These features help in rating the various personality traits (Engaged, Excited, Friendly, Speaking Rate) which in turn help to determine an interviewee performance. First, we have demonstrated how the top few prosodic features are selected based upon the mutual information gain that gives better performance for rating personality trait rather than taking all fifty-six prosodic features. Second, a set of experiments has been conducted under various regression models of different parameter settings, and their performances are compared. At last, we have listed top selected prosodic features for each personality trait that give better results compared to total fifty-six prosodic features. It is found out that for rating personality trait such as `Engaged' and `Excited', prosodic features related to intensity and pitch plays a major role while for `Friendly', prosodic features such as maximum-duration of pause and percentage-breaks, take a major role apart from intensity and pitch. Similarly, for rating personality trait `Speaking Rate', prosodic features computed related to first formant, third formant, total pause duration, percentage-breaks are more relevant. |
2018 |
KHARE, ASHISH; Tiwary, Uma Shanker; Sethi, Ishwar K; Singh, Nar (Ed.) Recent Trends in Communication, Computing, and Electronics Proceeding Springer, 524 , 2018. BibTeX | Tags: @proceedings{IC3E2018, title = {Recent Trends in Communication, Computing, and Electronics}, editor = {ASHISH KHARE and Uma Shanker Tiwary and Ishwar K. Sethi and Nar Singh}, year = {2018}, date = {2018-12-01}, booktitle = {Recent Trends in Communication, Computing, and Electronics}, volume = {524}, publisher = {Springer}, series = {Lecture Notes in Electrical Engineering}, keywords = {}, pubstate = {published}, tppubtype = {proceedings} } |
2017 |
Jain, Swapnil; Malviya, Shrikant; Mishra, Rohit; Tiwary, Uma Shanker Sentiment Analysis: An Empirical Comparative Study of Various Machine Learning Approaches Inproceedings Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017), pp. 112–121, NLP Association of India, Kolkata, India, 2017. @inproceedings{jain-etal-2017-sentiment, title = {Sentiment Analysis: An Empirical Comparative Study of Various Machine Learning Approaches}, author = {Swapnil Jain and Shrikant Malviya and Rohit Mishra and Uma Shanker Tiwary}, url = {https://www.aclweb.org/anthology/W17-7515}, year = {2017}, date = {2017-01-01}, booktitle = {Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)}, pages = {112--121}, publisher = {NLP Association of India}, address = {Kolkata, India}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Barnwal, Santosh Kumar; Tiwary, Uma Shanker Using Psycholinguistic Features for the Classification of Comprehenders from Summary Speech Transcripts Book Chapter Horain, Patrick ; Achard, Catherine ; Mallem, Malik (Ed.): Intelligent Human Computer Interaction: 9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings, pp. 122–136, Springer International Publishing, 2017, ISBN: 978-3-319-72038-8. Abstract | Links | BibTeX | Tags: @inbook{Barnwal2017, title = {Using Psycholinguistic Features for the Classification of Comprehenders from Summary Speech Transcripts}, author = {Santosh Kumar Barnwal and Uma Shanker Tiwary}, editor = {Horain, Patrick and Achard, Catherine and Mallem, Malik}, url = {https://doi.org/10.1007/978-3-319-72038-8_10}, doi = {10.1007/978-3-319-72038-8_10}, isbn = {978-3-319-72038-8}, year = {2017}, date = {2017-12-01}, booktitle = {Intelligent Human Computer Interaction: 9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings}, pages = {122--136}, publisher = {Springer International Publishing}, abstract = {In education, some students lack language comprehension, language production and language acquisition skills. In this paper we extracted several psycholinguistics features broadly grouped into lexical and morphological complexity, syntactic complexity, production units, syntactic pattern density, referential cohesion, connectives, amounts of coordination, amounts of subordination, LSA, word information, and readability from students' summary speech transcripts. Using these Coh-Metrix features, comprehenders are classified into two groups: poor comprehender and proficient comprehender. It is concluded that a computational model can be implemented using a reduced set of features and the results can be used to help poor reading comprehenders for improving their cognitive reading skills.}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } In education, some students lack language comprehension, language production and language acquisition skills. In this paper we extracted several psycholinguistics features broadly grouped into lexical and morphological complexity, syntactic complexity, production units, syntactic pattern density, referential cohesion, connectives, amounts of coordination, amounts of subordination, LSA, word information, and readability from students' summary speech transcripts. Using these Coh-Metrix features, comprehenders are classified into two groups: poor comprehender and proficient comprehender. It is concluded that a computational model can be implemented using a reduced set of features and the results can be used to help poor reading comprehenders for improving their cognitive reading skills. |
2016 |
Malviya, Shrikant; Mishra, Rohit; Tiwary, Uma Shanker Structural analysis of Hindi phonetics and a method for extraction of phonetically rich sentences from a very large Hindi text corpus Inproceedings 2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA), pp. 188-193, 2016, ISSN: 2472-7695. Abstract | Links | BibTeX | Tags: @inproceedings{7919009, title = {Structural analysis of Hindi phonetics and a method for extraction of phonetically rich sentences from a very large Hindi text corpus}, author = {Shrikant Malviya and Rohit Mishra and Uma Shanker Tiwary}, doi = {10.1109/ICSDA.2016.7919009}, issn = {2472-7695}, year = {2016}, date = {2016-10-01}, booktitle = {2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA)}, pages = {188-193}, abstract = {Automatic speech recognition (ASR) and Text to speech (TTS) are two prominent area of research in human computer interaction nowadays. A set of phonetically rich sentences is in a matter of importance in order to develop these two interactive modules of HCI. Essentially, the set of phonetically rich sentences has to cover all possible phone units distributed uniformly. Selecting such a set from a big corpus with maintaining phonetic characteristic based similarity is still a challenging problem. The major objective of this paper is to devise a criteria in order to select a set of sentences encompassing all phonetic aspects of a corpus with size as minimum as possible. First, this paper presents a statistical analysis of Hindi phonetics by observing the structural characteristics. Further a two stage algorithm is proposed to extract phonetically rich sentences with a high variety of triphones from the EMILLE Hindi corpus. The algorithm consists of a distance measuring criteria to select a sentence in order to improve the triphone distribution. Moreover, a special preprocessing method is proposed to score each triphone in terms of inverse probability in order to fasten the algorithm. The results show that the approach efficiently build uniformly distributed phonetically-rich corpus with optimum number of sentences.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Automatic speech recognition (ASR) and Text to speech (TTS) are two prominent area of research in human computer interaction nowadays. A set of phonetically rich sentences is in a matter of importance in order to develop these two interactive modules of HCI. Essentially, the set of phonetically rich sentences has to cover all possible phone units distributed uniformly. Selecting such a set from a big corpus with maintaining phonetic characteristic based similarity is still a challenging problem. The major objective of this paper is to devise a criteria in order to select a set of sentences encompassing all phonetic aspects of a corpus with size as minimum as possible. First, this paper presents a statistical analysis of Hindi phonetics by observing the structural characteristics. Further a two stage algorithm is proposed to extract phonetically rich sentences with a high variety of triphones from the EMILLE Hindi corpus. The algorithm consists of a distance measuring criteria to select a sentence in order to improve the triphone distribution. Moreover, a special preprocessing method is proposed to score each triphone in terms of inverse probability in order to fasten the algorithm. The results show that the approach efficiently build uniformly distributed phonetically-rich corpus with optimum number of sentences. |
2014 |
Agrawal, Utkarsh; Roy, Soumava Kumar; Tiwary, Uma Shanker Wavelet-Based Image Denoising Using Interval Type-2 Fuzzy Sets and Adaptive Multilevel Soft Threshold Inproceedings Soft Computing and Machine Intelligence (ISCMI), 2014 International Conference on, pp. 150-153, 2014. Links | BibTeX | Tags: adaptive multilevel soft threshold, Footprint of uncertainty, fuzzy set theory, Fuzzy sets, fuzzy systems, Gaussian noise, image denoising, image segmentation, interval type-2 fuzzy set, Interval Type-2 Fuzzy System, multilevel two-dimensional wavelet transform, Noise, Noise reduction, Standards, type-1 FS, type-1 fuzzy system, type-2 FS, Uncertainty, variable Gaussian noise, Wavelet coefficients, wavelet transforms, wavelet-based image denoising @inproceedings{7079373, title = {Wavelet-Based Image Denoising Using Interval Type-2 Fuzzy Sets and Adaptive Multilevel Soft Threshold}, author = {Utkarsh Agrawal and Soumava Kumar Roy and Uma Shanker Tiwary}, doi = {10.1109/ISCMI.2014.31}, year = {2014}, date = {2014-09-01}, booktitle = {Soft Computing and Machine Intelligence (ISCMI), 2014 International Conference on}, pages = {150-153}, keywords = {adaptive multilevel soft threshold, Footprint of uncertainty, fuzzy set theory, Fuzzy sets, fuzzy systems, Gaussian noise, image denoising, image segmentation, interval type-2 fuzzy set, Interval Type-2 Fuzzy System, multilevel two-dimensional wavelet transform, Noise, Noise reduction, Standards, type-1 FS, type-1 fuzzy system, type-2 FS, Uncertainty, variable Gaussian noise, Wavelet coefficients, wavelet transforms, wavelet-based image denoising}, pubstate = {published}, tppubtype = {inproceedings} } |
2012 |
Tiwary, Uma Shanker; Siddiqui, Tanveer J Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements Book IGI Global, Hershey, PA, USA, 2012. @book{ref60784, title = {Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements}, author = {Uma Shanker Tiwary and Tanveer J. Siddiqui}, url = {http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-0954-9}, doi = {10.4018/978-1-4666-0954-9}, year = {2012}, date = {2012-01-01}, pages = {1-386}, publisher = {IGI Global}, address = {Hershey, PA, USA}, keywords = {}, pubstate = {published}, tppubtype = {book} } |
2010 |
Verma, Gyanendra Kumar; Tiwary, Uma Shanker Text independent speaker identification using wavelet transform Inproceedings 2010 International Conference on Computer and Communication Technology (ICCCT), pp. 130-134, 2010. Links | BibTeX | Tags: Discrete Wavelet Transform (DWT), Discrete wavelet transforms, entropy, Feature extraction, K-Nearest Neighbor (KNN) Classifier, k-nearest neighbor classifier, mean, Noise measurement, pattern classification, Speaker Identification System, speaker recognition, Speech, speech signal, standard deviation, statistical analysis, text independent speaker identification, VoxForge speech corpus, Wavelet analysis, wavelet transform, wavelet transforms @inproceedings{5640426, title = {Text independent speaker identification using wavelet transform}, author = {Gyanendra Kumar Verma and Uma Shanker Tiwary}, doi = {10.1109/ICCCT.2010.5640426}, year = {2010}, date = {2010-09-01}, booktitle = {2010 International Conference on Computer and Communication Technology (ICCCT)}, pages = {130-134}, keywords = {Discrete Wavelet Transform (DWT), Discrete wavelet transforms, entropy, Feature extraction, K-Nearest Neighbor (KNN) Classifier, k-nearest neighbor classifier, mean, Noise measurement, pattern classification, Speaker Identification System, speaker recognition, Speech, speech signal, standard deviation, statistical analysis, text independent speaker identification, VoxForge speech corpus, Wavelet analysis, wavelet transform, wavelet transforms}, pubstate = {published}, tppubtype = {inproceedings} } |
2009 |
Gohel, Bakul; Tiwary, Uma Shanker; Lahiri, T Relative Amplitude based Features of characteristic ECG-Peaks for Identification of Coronary Artery Disease Inproceedings Tiwary, Uma Shanker; Siddiqui, Tanveer J; Radhakrishna, M; Tiwari, M D (Ed.): Proceedings of the First International Conference on Intelligent Human Computer Interaction, pp. 140–146, Springer India, New Delhi, 2009, ISBN: 978-81-8489-203-1. @inproceedings{10.1007/978-81-8489-203-1_12, title = {Relative Amplitude based Features of characteristic ECG-Peaks for Identification of Coronary Artery Disease}, author = {Bakul Gohel and Uma Shanker Tiwary and T Lahiri}, editor = {Uma Shanker Tiwary and Tanveer J. Siddiqui and M. Radhakrishna and M. D. Tiwari}, isbn = {978-81-8489-203-1}, year = {2009}, date = {2009-01-01}, booktitle = {Proceedings of the First International Conference on Intelligent Human Computer Interaction}, pages = {140--146}, publisher = {Springer India}, address = {New Delhi}, abstract = {Coronary artery disease or Myocardial Infarction is the leading cause of death and disability in the world. ECG is widely used as a cheap diagnostic tool for diagnosis of coronary artery disease but has low sensitivity with the present criteria based on ST-segment, T wave and Q wave changes. So to increase the sensitivity of the ECG we have introduced relative amplitude based new features of characteristic `R' and `S' ECG-peaks between two leads. Relative amplitude based features shows remarkable capability in discriminating Myocardial Infarction and Healthy pattern using backpropogation neural network classifier yield results with 81.82% sensitivity and 81.82% specificity. Also relative amplitude might be an efficient method in minimizing the effect of body composition on ECG amplitude based features without use of any information from other than ECG}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Coronary artery disease or Myocardial Infarction is the leading cause of death and disability in the world. ECG is widely used as a cheap diagnostic tool for diagnosis of coronary artery disease but has low sensitivity with the present criteria based on ST-segment, T wave and Q wave changes. So to increase the sensitivity of the ECG we have introduced relative amplitude based new features of characteristic `R' and `S' ECG-peaks between two leads. Relative amplitude based features shows remarkable capability in discriminating Myocardial Infarction and Healthy pattern using backpropogation neural network classifier yield results with 81.82% sensitivity and 81.82% specificity. Also relative amplitude might be an efficient method in minimizing the effect of body composition on ECG amplitude based features without use of any information from other than ECG |
Siddiqui, Tanveer J; Tiwary, Uma Shanker Words and Pictures: An HCI Perspective Inproceedings Tiwary, Uma Shanker; Siddiqui, Tanveer J; Radhakrishna, M; Tiwari, M D (Ed.): Proceedings of the First International Conference on Intelligent Human Computer Interaction, pp. 59–70, Springer India, New Delhi, 2009, ISBN: 978-81-8489-203-1. @inproceedings{10.1007/978-81-8489-203-1_4, title = {Words and Pictures: An HCI Perspective}, author = {Tanveer J. Siddiqui and Uma Shanker Tiwary}, editor = {Uma Shanker Tiwary and Tanveer J. Siddiqui and M. Radhakrishna and M. D. Tiwari}, isbn = {978-81-8489-203-1}, year = {2009}, date = {2009-01-01}, booktitle = {Proceedings of the First International Conference on Intelligent Human Computer Interaction}, pages = {59--70}, publisher = {Springer India}, address = {New Delhi}, abstract = {Human and Computer do not speak the same language. This is one of the challenging problems to those working on interface of human and computers. This paper is an effort to summarize the approaches which brings humans and computers a bit closer in terms of interpretation of visual information. When we describe outside world we describe in terms of language expressions but what we see is in terms of pictures. A significant portion of human information is gathered through our visual channel. But we communicate using language (text). However, this is not the ease for computational systems. The interpretation of images in computational process is generally in the form of attribute values which cannot be directly correlated with words or concepts. Describing the visual scenes in terms of phrases is the problem in reference for this paper. Recent research efforts focus on combining text and images for semantic image interpretation. We summarize some of these approaches and propose a conceptual framework for information extraction that combines both image and text..}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Human and Computer do not speak the same language. This is one of the challenging problems to those working on interface of human and computers. This paper is an effort to summarize the approaches which brings humans and computers a bit closer in terms of interpretation of visual information. When we describe outside world we describe in terms of language expressions but what we see is in terms of pictures. A significant portion of human information is gathered through our visual channel. But we communicate using language (text). However, this is not the ease for computational systems. The interpretation of images in computational process is generally in the form of attribute values which cannot be directly correlated with words or concepts. Describing the visual scenes in terms of phrases is the problem in reference for this paper. Recent research efforts focus on combining text and images for semantic image interpretation. We summarize some of these approaches and propose a conceptual framework for information extraction that combines both image and text.. |
2008 |
Varma, Shirshu; Tiwary, Uma Shanker; Jain, Anshul; Sharma, Tarun Statistical Energy Efficient Multipath Routing Protocol Inproceedings 2008 International Conference on Information Networking, pp. 1-5, 2008, ISSN: 1550-445X. Links | BibTeX | Tags: Base stations, Costs, energy consumption, Energy efficiency, Information technology, Maintenance, multipath channels, multipath routing protocol, network reliability, reliability, Resource management, routing protocols, statistical analysis, statistical energy efficient multipath routing, Telecommunication traffic, wireless sensor networks @inproceedings{4472773, title = {Statistical Energy Efficient Multipath Routing Protocol}, author = {Shirshu Varma and Uma Shanker Tiwary and Anshul Jain and Tarun Sharma}, doi = {10.1109/ICOIN.2008.4472773}, issn = {1550-445X}, year = {2008}, date = {2008-01-01}, booktitle = {2008 International Conference on Information Networking}, pages = {1-5}, keywords = {Base stations, Costs, energy consumption, Energy efficiency, Information technology, Maintenance, multipath channels, multipath routing protocol, network reliability, reliability, Resource management, routing protocols, statistical analysis, statistical energy efficient multipath routing, Telecommunication traffic, wireless sensor networks}, pubstate = {published}, tppubtype = {inproceedings} } |
Siddiqui, Tanveer J; Tiwary, Uma Shanker Utilizing local context for effective information retrieval Journal Article International Journal of Information Technology & Decision Making, 07 (01), pp. 5-21, 2008. @article{doi:10.1142/S0219622008002788, title = {Utilizing local context for effective information retrieval}, author = {Tanveer J. Siddiqui and Uma Shanker Tiwary}, url = {http://www.worldscientific.com/doi/abs/10.1142/S0219622008002788}, doi = {10.1142/S0219622008002788}, year = {2008}, date = {2008-01-01}, journal = {International Journal of Information Technology & Decision Making}, volume = {07}, number = {01}, pages = {5-21}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
2007 |
Siddiqui, Tanveer J; Tiwary, Uma Shanker Query Based Summary for Assessing Document Relevance Inproceedings 2006 1st International Conference on Digital Information Management, pp. 314-319, 2007. Links | BibTeX | Tags: conceptual graph, Context, Data mining, Document handling, document relevance, Explosions, graph theory, information retrieval, Information technology, Physics, query based document summarization, query processing, relevance feedback, text analysis @inproceedings{4221908, title = {Query Based Summary for Assessing Document Relevance}, author = {Tanveer J. Siddiqui and Uma Shanker Tiwary}, doi = {10.1109/ICDIM.2007.369216}, year = {2007}, date = {2007-12-01}, booktitle = {2006 1st International Conference on Digital Information Management}, pages = {314-319}, keywords = {conceptual graph, Context, Data mining, Document handling, document relevance, Explosions, graph theory, information retrieval, Information technology, Physics, query based document summarization, query processing, relevance feedback, text analysis}, pubstate = {published}, tppubtype = {inproceedings} } |
Varma, Shirshu; Tiwary, Uma Shanker; Konakalla, R Remote reprogramming mechanism for WSN Inproceedings 2007 International Conference on Intelligent and Advanced Systems, pp. 939-944, 2007. Abstract | Links | BibTeX | Tags: @inproceedings{4658524, title = {Remote reprogramming mechanism for WSN}, author = {Shirshu Varma and Uma Shanker Tiwary and R Konakalla}, doi = {10.1109/ICIAS.2007.4658524}, year = {2007}, date = {2007-11-01}, booktitle = {2007 International Conference on Intelligent and Advanced Systems}, pages = {939-944}, abstract = {Wireless sensor networks need an efficient and reliable reprogramming service to facilitate management and maintenance tasks. In this paper, we propose a reprogramming mechanism, which is based on the hierarchy in the network. We divide the nodes in the network into two types of nodes (i.e. super nodes and normal nodes). We first send codes to nodes in the upper layer of the node hierarchy (i.e., super nodes). Then super nodes reprogram other nodes in their local areas. Super nodes can be cluster head nodes, or a set of connected dominating nodes that are sufficient to cover the whole network. As the network size grows, it is difficult to send the whole application binary over the air to all the nodes. With our approach we overcome the problems like sender redundancy, data redundancy in classic flooding. Our results show that it is a quick mechanism for reprogramming the sensor nodes. Our approach also reduces the network traffic and results in less utilization of the resources. Our design assumes the prior knowledge of the network topology.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Wireless sensor networks need an efficient and reliable reprogramming service to facilitate management and maintenance tasks. In this paper, we propose a reprogramming mechanism, which is based on the hierarchy in the network. We divide the nodes in the network into two types of nodes (i.e. super nodes and normal nodes). We first send codes to nodes in the upper layer of the node hierarchy (i.e., super nodes). Then super nodes reprogram other nodes in their local areas. Super nodes can be cluster head nodes, or a set of connected dominating nodes that are sufficient to cover the whole network. As the network size grows, it is difficult to send the whole application binary over the air to all the nodes. With our approach we overcome the problems like sender redundancy, data redundancy in classic flooding. Our results show that it is a quick mechanism for reprogramming the sensor nodes. Our approach also reduces the network traffic and results in less utilization of the resources. Our design assumes the prior knowledge of the network topology. |
Varma, Shirshu; Jain, Anshul; Sharma, Tarun; Tiwary, Uma Shanker Statistical Signal Strength Aware Multipath Routing Protocol Inproceedings Wireless Communication and Sensor Networks, 2007. WCSN '07. Third International Conference on, pp. 83-88, 2007. Links | BibTeX | Tags: Base stations, Costs, energy consumption, Energy efficiency, Information technology, life time, multipath routing protocol, packet network, packet radio networks, Probability, reliability, Resource management, routing protocols, statistical signal strength aware multipath routing, telecommunication network reliability, wireless sensor networks @inproceedings{4475753, title = {Statistical Signal Strength Aware Multipath Routing Protocol}, author = {Shirshu Varma and Anshul Jain and Tarun Sharma and Uma Shanker Tiwary}, doi = {10.1109/WCSN.2007.4475753}, year = {2007}, date = {2007-12-01}, booktitle = {Wireless Communication and Sensor Networks, 2007. WCSN '07. Third International Conference on}, pages = {83-88}, keywords = {Base stations, Costs, energy consumption, Energy efficiency, Information technology, life time, multipath routing protocol, packet network, packet radio networks, Probability, reliability, Resource management, routing protocols, statistical signal strength aware multipath routing, telecommunication network reliability, wireless sensor networks}, pubstate = {published}, tppubtype = {inproceedings} } |
2006 |
KHARE, ASHISH; Tiwary}, U S; Conference, Biology 27th Annual Symmetric Daubechies complex wavelet transform and its application to denoising and deblurring Journal Article 2 (5), pp. 738-745, 2006. Abstract | Links | BibTeX | Tags: @article{khare2006symmetric, title = {Symmetric Daubechies complex wavelet transform and its application to denoising and deblurring}, author = {ASHISH KHARE and U S Tiwary} and Biology 27th Annual Conference}, url = {https://www.researchgate.net/profile/Ashish_Khare3/publication/236141566_Symmetric_Daubechies_Complex_Wavelet_Transform_and_its_Applications_to_Denoising_and_Deblurring/links/5575a73d08aeb6d8c0198620.pdf}, year = {2006}, date = {2006-01-01}, volume = {2}, number = {5}, pages = {738-745}, abstract = {Complex wavelet transform has not been explored much for signal processing applications, unlike real wavelet transform. Due to availability of phase information and reduced shift sensitivity, complex wavelet transform can be very much useful for signal processing applications. This paper explores various properties of symmetric Daubechies complex wavelet transform. This transform, unlike others, has no redundancy, allows perfect reconstruction and it is computationally efficient. It can be implemented using linear phase filters, which leads to distortion free reconstruction. Imaginary component of wavelet coefficients carries edge information. The nature of the complex wavelet coefficients does not change at multiple levels. This property provides an opportunity to apply the same function, such as thresholding function at multiple levels. Exploiting the properties of symmetric Daubechies complex wavelet transform …}, keywords = {}, pubstate = {published}, tppubtype = {article} } Complex wavelet transform has not been explored much for signal processing applications, unlike real wavelet transform. Due to availability of phase information and reduced shift sensitivity, complex wavelet transform can be very much useful for signal processing applications. This paper explores various properties of symmetric Daubechies complex wavelet transform. This transform, unlike others, has no redundancy, allows perfect reconstruction and it is computationally efficient. It can be implemented using linear phase filters, which leads to distortion free reconstruction. Imaginary component of wavelet coefficients carries edge information. The nature of the complex wavelet coefficients does not change at multiple levels. This property provides an opportunity to apply the same function, such as thresholding function at multiple levels. Exploiting the properties of symmetric Daubechies complex wavelet transform … |
2005 |
Khare, Ashish; Tiwary, Uma Shanker SOFT-THRESHOLDING FOR DENOISING OF MEDICAL IMAGES — A MULTIRESOLUTION APPROACH Journal Article International Journal of Wavelets, Multiresolution and Information Processing, 03 (04), pp. 477-496, 2005. @article{doi:10.1142/S021969130500097X, title = {SOFT-THRESHOLDING FOR DENOISING OF MEDICAL IMAGES {\textemdash} A MULTIRESOLUTION APPROACH}, author = {Ashish Khare and Uma Shanker Tiwary}, url = {http://www.worldscientific.com/doi/abs/10.1142/S021969130500097X}, doi = {10.1142/S021969130500097X}, year = {2005}, date = {2005-01-01}, journal = {International Journal of Wavelets, Multiresolution and Information Processing}, volume = {03}, number = {04}, pages = {477-496}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Publications
2019 |
Prosodic Feature Selection of Personality Traits for Job Interview Performance Inproceedings Abraham, Ajith; Cherukuri, Aswani Kumar; Melin, Patricia; Gandhi, Niketa (Ed.): Intelligent Systems Design and Applications, pp. 673–682, Springer International Publishing, Cham, 2019, ISBN: 978-3-030-16657-1. |
2018 |
Recent Trends in Communication, Computing, and Electronics Proceeding Springer, 524 , 2018. |
2017 |
Sentiment Analysis: An Empirical Comparative Study of Various Machine Learning Approaches Inproceedings Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017), pp. 112–121, NLP Association of India, Kolkata, India, 2017. |
Using Psycholinguistic Features for the Classification of Comprehenders from Summary Speech Transcripts Book Chapter Horain, Patrick ; Achard, Catherine ; Mallem, Malik (Ed.): Intelligent Human Computer Interaction: 9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings, pp. 122–136, Springer International Publishing, 2017, ISBN: 978-3-319-72038-8. |
2016 |
Structural analysis of Hindi phonetics and a method for extraction of phonetically rich sentences from a very large Hindi text corpus Inproceedings 2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA), pp. 188-193, 2016, ISSN: 2472-7695. |
2014 |
Wavelet-Based Image Denoising Using Interval Type-2 Fuzzy Sets and Adaptive Multilevel Soft Threshold Inproceedings Soft Computing and Machine Intelligence (ISCMI), 2014 International Conference on, pp. 150-153, 2014. |
2012 |
Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements Book IGI Global, Hershey, PA, USA, 2012. |
2010 |
Text independent speaker identification using wavelet transform Inproceedings 2010 International Conference on Computer and Communication Technology (ICCCT), pp. 130-134, 2010. |
2009 |
Relative Amplitude based Features of characteristic ECG-Peaks for Identification of Coronary Artery Disease Inproceedings Tiwary, Uma Shanker; Siddiqui, Tanveer J; Radhakrishna, M; Tiwari, M D (Ed.): Proceedings of the First International Conference on Intelligent Human Computer Interaction, pp. 140–146, Springer India, New Delhi, 2009, ISBN: 978-81-8489-203-1. |
Words and Pictures: An HCI Perspective Inproceedings Tiwary, Uma Shanker; Siddiqui, Tanveer J; Radhakrishna, M; Tiwari, M D (Ed.): Proceedings of the First International Conference on Intelligent Human Computer Interaction, pp. 59–70, Springer India, New Delhi, 2009, ISBN: 978-81-8489-203-1. |
2008 |
Statistical Energy Efficient Multipath Routing Protocol Inproceedings 2008 International Conference on Information Networking, pp. 1-5, 2008, ISSN: 1550-445X. |
Utilizing local context for effective information retrieval Journal Article International Journal of Information Technology & Decision Making, 07 (01), pp. 5-21, 2008. |
2007 |
Query Based Summary for Assessing Document Relevance Inproceedings 2006 1st International Conference on Digital Information Management, pp. 314-319, 2007. |
Remote reprogramming mechanism for WSN Inproceedings 2007 International Conference on Intelligent and Advanced Systems, pp. 939-944, 2007. |
Statistical Signal Strength Aware Multipath Routing Protocol Inproceedings Wireless Communication and Sensor Networks, 2007. WCSN '07. Third International Conference on, pp. 83-88, 2007. |
2006 |
Symmetric Daubechies complex wavelet transform and its application to denoising and deblurring Journal Article 2 (5), pp. 738-745, 2006. |
2005 |
SOFT-THRESHOLDING FOR DENOISING OF MEDICAL IMAGES — A MULTIRESOLUTION APPROACH Journal Article International Journal of Wavelets, Multiresolution and Information Processing, 03 (04), pp. 477-496, 2005. |