Assam Don Bosco University Journals
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A study on different linear and non-linear filtering techniques of speech and speech recognition
Get PDFIn any signal noise is an undesired quantity, however most of thetime every signal get mixed with noise at different levels of theirprocessing and application, due to which the information containedby the signal gets distorted and makes the whole signal redundant.A speech signal is very prominent with acoustical noises like bubblenoise, car noise, street noise etc. So for removing the noises researchershave developed various techniques which are called filtering. Basicallyall the filtering techniques are not suitable for every application,hence based on the type of application some techniques are betterthan the others. Broadly, the filtering techniques can be classifiedinto two categories i.e. linear filtering and non-linear filtering.In this paper a study is presented on some of the filtering techniqueswhich are based on linear and nonlinear approaches. These techniquesincludes different adaptive filtering based on algorithm like LMS,NLMS and RLS etc., Kalman filter, ARMA and NARMA time series applicationfor filtering, neural networks combine with fuzzy i.e. ANFIS. Thispaper also includes the application of various features i.e. MFCC,LPC, PLP and gamma for filtering and recognition
The Dilemma of the Bishnupriya Identity
Get PDFEthnic identity is a dynamic, multidimensional construct thatrefers to one's identity, or sense of self, as a member of an ethnicgroup. The reconstruction of an identity interacts with historical andsocial identities in the contemporary world. What is intend to discussin this article is the reconstruction of the Bishnupriya identity inManipur, and study it against the Bishnupriyas living outsideManipur
DUSTY PLASMA IN SATURN’S RINGS: A LITERATURE REVIEW
Get PDFThe importance of dusty plasma physics for understanding the dynamics and characteristics of Saturn’s rings was realized much before the in situ observations made by the spacecrafts such as the pioneers, voyagers and Cassini. However, it was the observation of radial ‘spokes’ by the Voyagers 1 and 2 above the Saturn’s B and C rings that established the importance of dusty plasma physics in the study of Saturn’s ring system. Since then dpp (dusty plasma physics) has been successfully used to explain several observations or phenomena of the Saturn rings. However, many questions remained unanswered. The questions with regard to the plasma sources, plasma transport or dynamics and the interactions of ring particles with the plasma in the presence of the planet’s magnetic fields are yet to be fully understood. There is a hope that the complete analysis and interpretation of the numerous Cassini data will lead to a deeper understanding of the Saturn rings. Several papers on Saturn rings from Pioneer to Cassini are reviewed here. The objective is to present an up-to-date comprehensive paper on Saturn’s rings by incorporating the findings of Pioneers, Voyagers and Cassini. The motivation is to identify the areas/ ideas/topics on which further research should be taken and the extent to which the dynamics and evolution of the Saturn ring system is governed by the dusty plasma physics
HAFELE-KEATING ATOMIC CLOCK EXPERIMENT AND THE UNIVERSAL TIME-DILATION LAW
Get PDFThe results of the timing experiments using atomic clocks carried onboard circumnavigating airplanes [J. C. Hafele and R. E. Keating, Science 177, 168-172 (1971)] are reviewed. It is pointed out that the finding that the eastward-flying clock arrived back at the airport of origin with less elapsed time than its westward-flying counterpart was not expected based on the conventional interpretation of the Lorentz transformation (LT). The latter predicts that a moving clock always runs slower than one that is stationary in the rest frame of the observer. In order to satisfactorily represent the observed timing results it was necessary to assume that clocks slow in inverse proportion to γ=(1-vECM2c-2)-0.5≈0.5vECM2c-2, where vECM  is the speed of the clock relative to the earthʼs center of mass (ECM) and c is the speed of light in free space. A similar result was obtained earlier in experiments in which an x-ray source and absorber were mounted on a high-speed rotor and the reference frame for computing clock speeds is the rotor axis. The common proportionality relationship for the two fundamental experiments is therefore referred to as the Universal Time-dilation Law (UTDL). Calculations of elapsed times based on the HK interpretation are presented which speak against the traditional LT interpretation of symmetric time dilation when clocks are not subject to unbalanced forces. A different space-time transformation is presented which is consistent with the UTDL, unlike the LT, but also satisfies both of Einstein's postulates of relativity and is compatible with the relativistic velocity transformation (RVT)
ROLE OF É…N AND É…NN INTERACTION PARAMETERS ON BINDING ENERGY OF AND
Get PDFVariational Monte Carlo study has been done for the two hypernuclear systems      and          for calculation of binding energies. For the two hypernuclear systems under study, different potential models have been used for the interactions involved in these hypernuclear systems. ArgonneV18 NN, Urbana IX NNN and phenomenological ɅN and ɅNN potentials have been used in our study. Our potential models are based on our previous studies on different double lambda hypernuclear systems. From our results, hyperon-nucleon parameters ie. two-body ɅN parameter and three-body ɅNN parameters are found to be important for binding the hypernuclear systems under study. With reduction in the values of ɅNN interaction parameters used in earlier works , there is significant difference in the values of binding energy of        and       . Also, ɅN interaction parameters are also found to play important role in binding
Design of Micro Wind Turbine for Low Wind Speed Areas: A Review
Get PDFWith the increase in fossil fuel prices and the increase in demand for renewable energy sources, wind turbines play an important role in becoming the alternative technology in the generation of electricity. Since wind is clean and unbounded, wind energy is one of the best renewable sources of energy for the generation of electricity. This paper presents the ideas of designing a small-sized wind turbine or micro wind turbine for low wind speed areas which can be used in many applications like homes, villages, and so on to produce electricity. A small-sized wind turbine or micro wind turbine is a type of turbine that converts the kinetic energy of wind into electrical energy and it is used to generate power for small power needs. Additionally, this type of micro wind turbine can be used in rural areas, requiring a very low cost for installation
Evaluation and Improvement of Distribution System Reliability Indices using ETAP Software
Get PDFReliability assessment is the most important factor in designing and planning of distribution system that should operate in an economical manner with minimal interruption of customer loads. This is due to the fact that the distribution system provides the final link between a utility transmission system and its customers. It is observed that more than 80% of all customer interruptions occur (i.e., power quality issues) due to component failures in the distribution system. That report quantifies the expected reliability indices such as interruption frequency and interruption duration during the entire year. Many research findings are out there to assess the reliability of the power system. Further, due to the wide growth of distributed generation in electrical power, investigating their impact on system reliability, it becomes an attractive area of research. In this paper, the reliability evaluation of distribution system using a minimal cut set method based on the FMEA technique is described and applied to the IEEE RBTS Bus-2 and Indian practical distribution system (33/11 kV). Development of ETAP software is presented for calculating reliability indices. Further, improvement of reliability with introducing of Distributed Generation is presented. Reliability indices are load point indices and system indices which includes, System Average Interruption Frequency Indices (SAIFI), System Average Interruption Duration Indices (SAIDI), Customer Average Interruption Frequency Indices (CAIFI), Customer Average Interruption Duration Indices (CAIDI), Energy Not Supplied (ENS), Average Energy Not Supplied (AENS), etc. These indices are shows the reliability performance of the system
Database as a Service under Clustered Resources in Cloud Computing
Get PDFIt is well known fact that there is a race ahead on optimum utilization of the resources in our hands. The cloud computing has emerged out on top of the existing networks to ensure resource utilization to the maximum possible level through share and conquer approach. In line with that objective of effective resource utilization, this paper proposes database as software resource to be made available for the users on pay and get service mode. This study recommends a clustered network as a residing place for the database to provide service on demand. Further, two models for cloud database with the advent of clustering is proposed in this study. This work also suggests the implementation procedure for providing database accessibility to the required users through clustered wireless network on cloud computing
Role of Feature Selection in Building High Performance Heart Disease Prediction Systems
Get PDFIn the last few years, there has been a tremendous rise in the number of deaths due to heart diseases all over the world. In low- and middle-income countries, heart diseases are usually not detected in early stages which makes the treatment difficult. Early diagnosis can help significantly in preventing these diseases. Machine learning-based prediction systems offer a cost-effective and efficient way to diagnose these diseases in an early stage. Research is being carried out to increase the performance of these systems. Redundant and irrelevant features in the medical dataset deteriorate the performance of prediction systems. In this paper, an exhaustive study has been done to improve the performance of the prediction systems by applying 4 feature selection algorithms. Experimental results prove that the use of feature selection algorithms provides a substantial increase in accuracy and speed of execution of the prediction system. The prediction system proposed in this study shall prove to be a great help to prevent heart diseases by enabling the medical practitioners to detect heart diseases in early stages