Papers by Tirupati Goskula
Woman health care during pregnancy period is utmost important job and with-it safe delivery of ch... more Woman health care during pregnancy period is utmost important job and with-it safe delivery of child by identifying the true labor is another skill and challenging task for experts. Early assessment of first stage of true labor is significant task so that expert can take care and can provide the necessary aid to the laboring mother to avoid the risk of mothers and child life. Maternal mortality is unacceptably high in under developed countries like India, which contributes one-fifth of total maternal deaths globally. The motivational factors and the necessity to develop a system for differentiating True and False Labor based on Uterine Contraction are discussed in this paper. The objective of the research is to develop the diagnostic system for the analysis of uterine contraction for differentiation of true and false labor with advantage of early detection of true labor. The system is experimented under the supervision of expert clinician and the results of these experiments are dis...
Human- Computer intelligent interaction (HCII) is an emerging field of science aimed at providing... more Human- Computer intelligent interaction (HCII) is an emerging field of science aimed at providing natural ways for humans to use computer as aids. Machine intelligence needs to include emotional intelligence it is argued that for the computer to be able to interact with humans, it needs to have the communication skills of human. One of these skills is the ability to understand the emotional state of the person. Two recognition methods namely K-Nearest Neighbor (K-NN) and Support vector machine (SVM) classifier have been experimented and compared. The paper explores the simplicity and effectiveness of SVM classifier for designing the real-time emotion recognition system.
Mtech student, Electronics and communication, Maharashtra, India Assistant Professor, Electronics... more Mtech student, Electronics and communication, Maharashtra, India Assistant Professor, Electronics and communication, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract – Identification of persons by way of biometrics features has evolved significantly over the years. During this time, biometric recognition has received much attention due to its need for security. Among the many existing biometrics, fingerprints are considered to be one of the most practical ones. Techniques such as watermarking been used in attempt to improve security of biometric data. Watermarking is the process of embedding information into a carrier file for the protection of ownership/copyright of music, video or image files. In this paper, to overcome such duplicate things , so a new watermarking algorithm is proposed namely Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD) Th...
International Journal of Scientific Research in Science and Technology, 2017
Early prediction of premature pregnancy reduces neonatal death and helps in adoption of treatment... more Early prediction of premature pregnancy reduces neonatal death and helps in adoption of treatment well suited for the pre-term pregnancy state. There are scads of work done in the area of term and pre-term pregnancy analysis like artificial intelligence, regressive models, and higher order statistical models. This paper proposes a four-level decomposition of Electrohysterography (EHG) signals using Discrete Wavelet Transform (DWT) based on pyramid algorithm to obtain the final feature vector matrix. Classification is done using Support Vector Machines (SVM) by dividing the data into test and training sets. It is validated on a well-known benchmark database from Physionet Database. The proposed method can be used for real time implementation owing to low computational cost, high speed and its feasibility to be implemented on hardware. The encouraging experimental results show that the technique gives an accuracy of 97.8% and can be a promising tool for investigating the risk of prete...
3 ABSTRACT: Security system was implemented more than years ago, but only today are the condition... more 3 ABSTRACT: Security system was implemented more than years ago, but only today are the conditions united for mass application of this technology. The customer requires simple, reliable and high performance core system. In recently the system design with high resolution camera and built up with different sensor and also provides Internet service for global access for databases. In this design we survey the current work on security system and application. We examine the existing work, which is held by ultrasonic sensor to inform any intruder passed through the surveillance region, PIR (Pyroelectric Infrared) sensors for activities observation i.e. for motion detection with the help of majority voting mechanism and monitoring alarm system, which is commonly used. This review contributes to better understanding of the challenging in existing work on security system and further research direction. In this design we implemented a reliable embedded security system based multiple wireless ...
Human-Computer intelligent interaction (HCII) is an emerging field of science aimed at providing ... more Human-Computer intelligent interaction (HCII) is an emerging field of science aimed at providing natural ways for humans to use computer as aids. Machine intelligence needs to include emotional intelligence it is argued that for the computer to be able to interact with humans, it needs to have the communication skills of human. One of these skills is the ability to understand the emotional state of the person. Two recognition methods namely K-Nearest Neighbor (K-NN) and Support vector machine (SVM) classifier have been experimented and compared. The paper explores the simplicity and effectiveness of SVM classifier for designing the real-time emotion recognition system.
Prediction of premature labor is very important factor in this century as the neonatal death rati... more Prediction of premature labor is very important factor in this century as the neonatal death ratio is increasing day by day. For the prediction of labor it is necessary to have uterine contraction signals. Analysis of EHG is Consider proper tool for this aim. EHG record the electric activity of uterine muscle. In this paper the signals is downloaded from the Physionet dataset, the work presented in this paper is to determine True and False labour from the Analysis of various signals which is acquired from Uterine Contraction. Linear (mean, median) and non-linear (entropy) feature is extracted from EHG signals and support vector machine (SVM) is applied for classification to get the result whether the labour is term or pre-term.
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Papers by Tirupati Goskula