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Search Results: 1 - 10 of 22014 matches for " Diganta Kumar Sarma "
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Synthesis, Spectroscopy, Thermal Analysis, Electrochemistry and Superoxide Scavenging Activity of a New Bimetallic Copper(II) Complex
Babita Sarma,Diganta Kumar Das
Journal of Chemistry , 2013, DOI: 10.1155/2013/349580
Abstract:
A Multisensor Analysis of the Life Cycle of Bow Echo over Indian Region
Devajyoti Dutta,Diganta Kumar Sarma,Sanjay Sharma
International Journal of Atmospheric Sciences , 2014, DOI: 10.1155/2014/207064
Abstract: This study deals with the life cycle of bow echo events on October 24 and 26-27, 2006, from Doppler weather radar (DWR) observations supported by Radiosonde and National Centers for Environmental Prediction (NCEP). The cell bow echo (CBE) on October 24 evolved from two small isolated cells with radar reflectivity ≥40?dBZ. The vertical structure consists of one single mature cell with 20?dBZ echoes reaching up to 10?km while 40?dBZ echoes extended uniformly from ground to ~5?km height. The radial velocity shows a high value >?15?m/s towards the radar at the upper height (about 6 to 11?km); the lower height is predominant with velocity away from the radar (about 5 to 15?m/s). The squall line bow echo on October 26 and 27 has its origin over ocean and moved towards the radar site and decayed thereafter. The radar reflectivity pattern for this squall line showed it to be a trailing stratiform type squall line with length of ~200?km. The echo top height was more than 12?km in height. Strong inflow cases were observed from both radiosonde and radar. 1. Introduction The life cycle of mesoscale convective systems (MCSs) can be studied with the help of on-board IR and microwave sensors as well as ground based Doppler weather radar (DWR) [1]. Though the geostationary IR data is very useful for the study of evolution of MCSs because of its large areal coverage, it can give only the cloud top information but unable to give details inside of the system. On the other hand, DWR can give much better information of the MCS but their coverage is limited, where the reliable observation >200?km is restricted due to the refraction of the transmitted signal. The passive microwave radiometer cannot be used for the study of the evolution of MCSs as these are carried by polar satellite with low repetition. A multisensor approach is useful approach to study the multifaceted characteristics of MCSs. Till date many of the studies of MCSs are performed with the help of both active and passive sensors: evolution (e.g., [2–6]), size and structure [7, 8], and reflectivity structures (e.g., [9–12]). The severe weather events are mostly associated with the organized MCSs such as bow echoes and squall lines. Bow echoes were named and described in detail by Fujita [13]. A bow echo is defined as a nontransient bow or crescent shaped radar signature with a high reflectivity gradient on the convex edge. Most of the time, they are associated with severe weather. According to Fujita [13] the bow echo commonly evolves from either a single convective cell or a line of cells. Klimowsky et al.
On pairwise b–locally open and pairwise b–locally closed functions in bitopological spaces
Diganta Jyoti Sarma,Binod Chandra Tripathy
Tamkang Journal of Mathematics , 2012, DOI: 10.5556/j.tkjm.43.2012.533-539
Abstract: The aim of this paper is to introduce and study pairwise $b$-locally open and pairwise $b$-locally closed functions in bitopological spaces and some characterization and several properties concerning these concepts are investigated.
INDIGENOUS PEOPLE’S DISPLACEMENT TO THE URBAN AREAS AND ITS EFFECTS: A CASE STUDY
DIGANTA KUMAR PHUKAN, NABA KRISHNA BORAH
International Journal for Basic Sciences and Social Sciences , 2012,
Abstract: Displacement is one of the causes for migration of indigenous people to urban areas. This study was conducted among the Mising people of North Lakhimpur Town, the Headquarter of the Lakhimpur District, Assam, who have migrated as a result of displacement due to heavy riverbank erosion and flood. The study depicted that they are having problem in case of food, shelter, dress, education, health and gradually the traditional culture is eroded among them and all these stand as the great challenge in front of them.
Assessing Consistency of Consumer Confidence Data using Dynamic Latent Class Analysis
Sunil Kumar,Zakir Husain,Diganta Mukherjee
Quantitative Finance , 2015,
Abstract: In many countries information on expectations collected through consumer confidence surveys are used in macroeconomic policy formulation. Unfortunately, before doing so, the consistency of responses is often not taken into account, leading to biases creeping in and affecting the reliability of the indices hence created. This paper describes how latent class analysis may be used to check the consistency of responses and ensure a parsimonious questionnaire. In particular, we examine how temporal changes may be incorporated into the model. Our methodology is illustrated using three rounds of Consumer Confidence Survey (CCS) conducted by Reserve Bank of India (RBI).
Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework
Mousmita Sarma,Kandarpa Kumar Sarma
Applied Computational Intelligence and Soft Computing , 2012, DOI: 10.1155/2012/871324
Abstract:
Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework
Mousmita Sarma,Kandarpa Kumar Sarma
Applied Computational Intelligence and Soft Computing , 2012, DOI: 10.1155/2012/871324
Abstract: In spoken word recognition, one of the crucial points is to identify the vowel phonemes. This paper describes an Artificial Neural Network (ANN) based algorithm developed for the segmentation and recognition of the vowel phonemes of Assamese language from some words containing those vowels. Self-Organizing Map (SOM) trained with a various number of iterations is used to segment the word into its constituent phonemes. Later, Probabilistic Neural Network (PNN) trained with clean vowel phonemes is used to recognize the vowel segment from the six different SOM segmented phonemes. One of the important aspects of the proposed algorithm is that it proves the validation of the recognized vowel by checking its first formant frequency. The first formant frequency of all the Assamese vowels is predetermined by estimating pole or formant location from the linear prediction (LP) model of the vocal tract. The proposed algorithm shows a high recognition performance in comparison to the conventional Discrete Wavelet Transform (DWT) based segmentation. 1. Introduction Most languages, including Assamese, have a fixed number of vowel phonemes. Vowel sounds play the most significant role in the production of different words. To develop an effective speech recognition system, it is always important to recognize the vowel phonemes first. The first step towards vowel recognition is to segment the vowel phonemes from the word. Speech segmentation is usually performed using constant time blocks, for example, using fixed length windows [1]. But constant segmentation risk loses information about the exact phoneme boundary. A more satisfactory approach is the Discrete Wavelet Transform (DWT) based speech segmentation. Wavelet decomposition is used as a segmentation technique in various biomedical applications like automatic EEG artifact removal, fetal electrocardiogram (fECG) extraction, muscle activation detection, and so forth. A few works are reported in [2–6]. In case of speech segmentation like application, DWT can easily extract the speech parameters which take into account the properties of the human hearing system. But the success rate obtained by DWT based segmentation can be improved. This work presents a novel vowel segmentation algorithm based on two different supervised and unsupervised Artificial Neural Network (ANN) structures. Self Organizing Map (SOM) trained with six different iteration numbers is used to segment the word whose vowel parts are to be recognized. A trained SOM provides the most appropriate set of weights for the purpose which in this case numbers
Link Enhancer for Vehicular Wireless ATM Communications
Arun Kumar S P,Diganta Baishya,Amrendra Kumar
Computer Science , 2008,
Abstract: Majority of the applications used in defense are voice, video and data oriented and has strict QoS requirements. One of the technologies that enabled this is Asynchronous Transfer Mode (ATM) networking. Traditional ATM networks are wired networks. But Tactical networks are meant to be mobile and this necessitates the use of radio relays for Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communications. ATM networks assume a physical link layer BER of 10^-9 or better because of the availability of reliable media like optical fiber links. But this assumption is no longer valid when ATM switches are connected through radio relay where error rates are in the rage of 10^-3. This paper presents the architecture of a Link Enhancer meant to improve the Bit Error Rate of the Wireless links used for V2I and V2V communications from 1 in 10^4 to 1 in 10^8
Education and Electoral Outcomes  [PDF]
Diganta Mukherjee, Rajlakshmi Mallik
Theoretical Economics Letters (TEL) , 2012, DOI: 10.4236/tel.2012.22033
Abstract: This paper develops a model of the electoral process for analyzing the voters’ choice faced with two parties. A typical voter is concerned with both local governance issues and macro issues. The relative importance attached by a voter to local and macro concerns is governed by the level of education of the voter. The voter must exercise his choice based on two sets of information—the first pertains to the candidate’s efficiency level and the other pertains to the efficiency of the party as a whole. The model focuses on the case where the party with the better image has been forced to put up a less efficient candidate, as this is sufficient to analyse the trade-off involved. The model shows how the election out-comes may be influenced by the education level of the electorate and the design of election campaigns. This has implications for the design of education policy in the long run and measuring social efficiency of education.
Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges  [PDF]
Bhaskar Bhuyan, Hiren Kumar Deva Sarma, Nityananda Sarma, Avijit Kar, Rajib Mall
Wireless Sensor Network (WSN) , 2010, DOI: 10.4236/wsn.2010.211104
Abstract: Wireless sensor networks (WSNs) are required to provide different levels of Quality of Services (QoS) based on the type of applications. Providing QoS support in wireless sensor networks is an emerging area of research. Due to resource constraints like processing power, memory, bandwidth and power sources in sensor networks, QoS support in WSNs is a challenging task. In this paper, we discuss the QoS requirements in WSNs and present a survey of some of the QoS aware routing techniques in WSNs. We also explore the middleware approaches for QoS support in WSNs and finally, highlight some open issues and future direction of research for providing QoS in WSNs.
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