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Search Results: 1 - 10 of 225435 matches for " R. Arun "
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Interference-induced splitting of resonances in spontaneous emission
R. Arun
Physics , 2007, DOI: 10.1103/PhysRevA.77.033820
Abstract: We study the resonance fluorescence from a coherently driven four-level atom in the Y-type configuration. The effects of quantum interference induced by spontaneous emission on the fluorescence properties of the atom are investigated. It is found that the quantum interference resulting from cascade emission decays of the atom leads to a splitting of resonances in the excited level populations calculated as a function of light detuning. For some parameters, interference assisted enhancement of inner sidebands and narrowing of central peaks may also occur in the fluorescence spectrum. We present a physical understandingof our numerical results using the dressed state description of the atom-light interaction.
Monthly Forecast of Indian Southwest Monsoon Rainfall Based on NCEP’s Coupled Forecast System  [PDF]
Dushmanta R. Pattanaik, Biswajit Mukhopadhyay, Arun Kumar
Atmospheric and Climate Sciences (ACS) , 2012, DOI: 10.4236/acs.2012.24042
Abstract: The monthly forecast of Indian monsoon rainfall during June to September is investigated by using the hindcast data sets of the National Centre for Environmental Prediction (NCEP)’s operational coupled model (known as the Climate Forecast System) for 25 years from 1981 to 2005 with 15 ensemble members each. The ensemble mean monthly rainfall over land region of India from CFS with one month lead forecast is underestimated during June to September. With respect to the inter-annual variability of monthly rainfall it is seen that the only significant correlation coefficients (CCs) are found to be for June forecast with May initial condition and September rainfall with August initial conditions. The CFS has got lowest skill for the month of August followed by that of July. Considering the lower skill of monthly forecast based on the ensemble mean, all 15 ensemble members are used separately for the preparation of probability forecast and different probability scores like Brier Score (BS), Brier Skill Score (BSS), Accuracy, Probability of Detection (POD), False Alarm Ratio (FAR), Threat Score (TS) and Heidke Skill Score (HSS) for all the three categories of forecasts (above normal, below normal and normal) have been calculated. In terms of the BS and BSS the skill of the monthly probability forecast in all the three categories are better than the climatology forecasts with positive BSS values except in case of normal forecast of June and July. The “TS”, “HSS” and other scores also provide useful probability forecast in case of CFS except the normal category of July forecast. Thus, it is seen that the monthly probability forecast based on NCEP CFS coupled model during the southwest monsoon season is very encouraging and is found to be very useful.
Design of AXI-PCIE Interface for Industrial Ethernet Applications
R. Arun,R. Muthaiah
Journal of Artificial Intelligence , 2013,
Abstract: The tremendous growth of Ethernet in the field of communication networks has enabled various applications in industries with greater performance and accuracy. Ethernet’s consistency and integrated communication capabilities are used in various industrial applications where timing is of a major concern. In spite of these ubiquitous trends of Ethernet, Carrier Sense Multiple Access/Collision Detection (CSMA/CD) and combinational mechanisms are some of the contradictory mechanisms in real time industrial applications. Although it plays a vital role in avoiding collisions between different environments, it uses more of the critical time in processing, which is non-affordable in real time scenarios. Hence, the need for an Industrial Ethernet that employs the traditional features of Ethernet with real time capabilities is very much in demand. In this study, an Industrial Ethernet module-soft Intellectual Property (IP) core design is proposed, it meets the various specifications of Ethernet with the time specific features for real time applications.
Recurrent zosteriform herpes simplex
Inamadar Arun,Yatgiri R
Indian Journal of Dermatology, Venereology and Leprology , 1992,
Abstract: A 25-year-old man had recurrent zosteriform herpes simplex for past 6 years. The attacks were precipitated by prolonged exposure to sunlight. Pain was mild and lesions used to subside each time in about 7 days. Clinical features which help in differentiating recurrent herpes simplex from recurrent herpes zoster are summarized.
Bilateral cleft lip nasal deformity
Singh Arun,Nandini R
Indian Journal of Plastic Surgery , 2009,
Abstract: Bilateral cleft lip nose deformity is a multi-factorial and complex deformity which tends to aggravate with growth of the child, if not attended surgically. The goals of primary bilateral cleft lip nose surgery are, closure of the nasal floor and sill, lengthening of the columella, repositioning of the alar base, achieving nasal tip projection, repositioning of the lower lateral cartilages, and reorienting the nares from horizontal to oblique position. The multiplicity of procedures in the literature for correction of this deformity alludes to the fact that no single procedure is entirely effective. The timing for surgical intervention and its extent varies considerably. Early surgery on cartilage may adversely affect growth and development; at the same time, allowing the cartilage to grow in an abnormal position and contributing to aggravation of deformity. Some surgeons advocate correction of deformity at an early age. However, others like the cartilages to grow and mature before going in for surgery. With peer pressure also becoming an important consideration during the teens, the current trend is towards early intervention. There is no unanimity in the extent of nasal dissection to be done at the time of primary lip repair. While many perform limited nasal dissection for the fear of growth retardation, others opt for full cartilage correction at the time of primary surgery itself. The value of naso-alveolar moulding (NAM) too is not universally accepted and has now more opponents than proponents. Also most centres in the developing world have neither the personnel nor the facilities for the same. The secondary cleft nasal deformity is variable and is affected by the extent of the original abnormality, any prior surgeries performed and alteration due to nasal growth. This article reviews the currently popular methods for correction of nasal deformity associated with bilateral cleft lip, it′s management both at the time of cleft lip repair and also secondarily, at a later date. It also discusses the practices followed at our centre.
Arun Raj.R
International Research Journal of Pharmacy , 2013,
Abstract: Sales have been considered as one of the most rewarding and challenging fields of employment in India. Encouraging work-life balance is seen as a way of attracting and retaining the labour force needed to support economic well-being. The role of work has changed throughout the world due to economic conditions and social demands. In sales job, the performance pressure is considerably high leading to stress and other problems. The main objectives of the study are to the work-life score of employees in pharmaceutical marketing. The research design adopted was descriptive as the study required both primary and secondary data. The problem is identified through extensive study of the hypothesis collecting all relevant information using primary data and secondary data. There were 100 pharmaceutical marketing employees selected from Ernakulam and Kottayam District of Kerala, India. Questionnaires were circulated and data was collected and analyzed by using by appropriate statistical tools. Based on the analysis, the present study concluded that there was an increased case of work life balance in the pharmaceutical marketing employees.
Borate Crystals for Nonlinear Optical and Laser Applications: A Review
R. Arun Kumar
Journal of Chemistry , 2013, DOI: 10.1155/2013/154862
Probabilistic Management of OCR Data using an RDBMS
Arun Kumar,Christopher Ré
Computer Science , 2011,
Abstract: The digitization of scanned forms and documents is changing the data sources that enterprises manage. To integrate these new data sources with enterprise data, the current state-of-the-art approach is to convert the images to ASCII text using optical character recognition (OCR) software and then to store the resulting ASCII text in a relational database. The OCR problem is challenging, and so the output of OCR often contains errors. In turn, queries on the output of OCR may fail to retrieve relevant answers. State-of-the-art OCR programs, e.g., the OCR powering Google Books, use a probabilistic model that captures many alternatives during the OCR process. Only when the results of OCR are stored in the database, do these approaches discard the uncertainty. In this work, we propose to retain the probabilistic models produced by OCR process in a relational database management system. A key technical challenge is that the probabilistic data produced by OCR software is very large (a single book blows up to 2GB from 400kB as ASCII). As a result, a baseline solution that integrates these models with an RDBMS is over 1000x slower versus standard text processing for single table select-project queries. However, many applications may have quality-performance needs that are in between these two extremes of ASCII and the complete model output by the OCR software. Thus, we propose a novel approximation scheme called Staccato that allows a user to trade recall for query performance. Additionally, we provide a formal analysis of our scheme's properties, and describe how we integrate our scheme with standard-RDBMS text indexing.
Landslide Hazard Zonation in NH-1A in Kashmir Himalaya, India  [PDF]
R. K. Chingkhei, A. Shiroyleima, L. Robert Singh, Arun Kumar
International Journal of Geosciences (IJG) , 2013, DOI: 10.4236/ijg.2013.410147

The paper presents a methodology for landslide hazard zonation mapping using GIS and remote sensing data. The study has been carried out along NH-1A-Udhampur to Banihal in Kashmir Himalaya as this terrain is prone to the landslide hazards. The present study has been made to derive and identify the important terrain factors contributing to landslide occurrences in the region and corresponding thematic data layers are generated in GIS domain. These terrain data are collected from the topographic maps, satellite imageries, field visits and available published maps. A GIS database is prepared by digitizing these maps along with tabular data and their corresponding weightage is assigned using Analytic Hierarchy Process (AHP) based criteria ranking method for determining the standardized scores of criteria expressing their factor of importance for a given decision problem in terms of thematic parameters, categories and their normalized weights. Statistically integrating weightages from these thematic maps, a specific landslide hazard map was developed on a GIS platform. The resulting landslide hazard zonation map delineates the area into different zones of six classes of landslide hazard zones i.e., severe, very high, high, moderate, low and very low.

Local Binary Patterns and Its Variants for Finger Knuckle Print Recognition in Multi-Resolution Domain  [PDF]
D. R. Arun, C. Christopher Columbus, K. Meena
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.710267
Abstract: Finger Knuckle Print biometric plays a vital role in establishing security for real-time environments. The success of human authentication depends on high speed and accuracy. This paper proposed an integrated approach of personal authentication using texture based Finger Knuckle Print (FKP) recognition in multiresolution domain. FKP images are rich in texture patterns. Recently, many texture patterns are proposed for biometric feature extraction. Hence, it is essential to review whether Local Binary Patterns or its variants perform well for FKP recognition. In this paper, Local Directional Pattern (LDP), Local Derivative Ternary Pattern (LDTP) and Local Texture Description Framework based Modified Local Directional Pattern (LTDF_MLDN) based feature extraction in multiresolution domain are experimented with Nearest Neighbor and Extreme Learning Machine (ELM) Classifier for FKP recognition. Experiments were conducted on PolYU database. The result shows that LDTP in Contourlet domain achieves a promising performance. It also proves that Soft classifier performs better than the hard classifier.
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