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Search Results: 1 - 10 of 974 matches for " Dhiraj Shrestha "
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Characterization and Modeling of Urban Water Quality in the City of Calgary, Canada  [PDF]
Dhiraj Shrestha, Jianxun He
Natural Resources (NR) , 2017, DOI: 10.4236/nr.2017.88032
Abstract: Non-point source pollution (NPS) besides point source pollution (PS) has contributed to pollutant loading into natural receiving water bodies. Due to the nature of NPS, the quantification of pollutant loading from NPS is very challenging but crucial to riverine water quality management, especially for the river reach flowing through urban areas. The water quality in the river reach of the Bow River flowing through the City of Calgary in Alberta, Canada, is affected by both PS and NPS. Thus, understanding and characterizing water quality of discharges (affected by NPS) into the river reach is necessary for better managing riverine water quality and preventing water quality degradation. In the paper, monitored event mean concentrations (EMCs) of stormwater runoff and mean concentrations of snowmelt and baseflow of seven common pollutants from sub-catchments, which are categorized into four land use types including commercial, industrial, residential and on-going development land uses, were used to investigate the linkage between land use and water quality. Statistical analysis techniques were adopted to identify differences or similarities in water quality among different flow types, different land use types, and among/between catchments of same land use. The results indicated that EMCs of many water quality parameters vary among different land use types and among/between catchments of same land use. The results also showed median EMCs of pollutants of snowmelt and baseflow are, in general, lower than those of stormwater runoff. In addition, Stormwater Management Model was employed to investigate the physical process that would affect water quality response to storm events for two typical land uses, industrial and residential land uses. The modeling results supported that wash-off of particulate matters might primarily affect water quality response of catchments between different land uses. All the results shed the light on the necessity of quantifying pollutant loading considering the characteristics of land uses.
TEC and Instrumental Bias Estimation of GAGAN Station Using Kalman Filter and SCORE Algorithm  [PDF]
Dhiraj Sunehra
Positioning (POS) , 2016, DOI: 10.4236/pos.2016.71004
Abstract: The standalone Global Positioning System (GPS) does not meet the higher accuracy requirements needed for approach and landing phase of an aircraft. To meet the Category-I Precision Approach (CAT-I PA) requirements of civil aviation, satellite based augmentation system (SBAS) has been planned by various countries including USA, Europe, Japan and India. The Indian SBAS is named as GPS Aided Geo Augmented Navigation (GAGAN). The GAGAN network consists of several dual frequency GPS receivers located at various airports around the Indian subcontinent. The ionospheric delay, which is a function of the total electron content (TEC), is one of the main sources of error affecting GPS/SBAS accuracy. A dual frequency GPS receiver can be used to estimate the TEC. However, line-of-sight TEC derived from dual frequency GPS data is corrupted by the instrumental biases of the GPS receiver and satellites. The estimation of receiver instrumental bias is particularly important for obtaining accurate estimates of ionospheric delay. In this paper, two prominent techniques based on Kalman filter and Self-Calibration Of pseudo Range Error (SCORE) algorithm are used for estimation of instrumental biases. The estimated instrumental bias and TEC results for the GPS Aided Geo Augmented Navigation (GAGAN) station at Hyderabad (78.47°E, 17.45°N), India are presented.
Comparative prevalence of MRSA in two Nepalese tertiary care hospitals  [PDF]
Bidya Shrestha
Open Journal of Clinical Diagnostics (OJCD) , 2013, DOI: 10.4236/ojcd.2013.32013
Abstract: This comparative study has been focused on the prevalence of MRSA types and their antibiotic resistance in two tertiary care hospitals of Nepal. During November 2007 to June 2009, clinical samples from patients with nosocomial infection from two Nepali hospitals, Kathmandu Based Hospital (KBH) and Lalitpur Based Hospital (LBH) were cultured and antibiotic susceptibility tests done following standard methodology in Microbiology laboratory, Tribhuvan University Teaching Hospital, Kathmandu, Nepal. Occurrence of MRSA (52.9% of 304 Staphylococcus aureus isolates) in KBH and that of MSSA (62% of 100 S. aureus isolates) in LBH were significant. No association of age was observed with MRSA or MSSA. Among MSSA from both hospitals, the highest resistance was found against penicillin. KBH urinary isolates were resistant to norfloxacin (51.4%), while isolates from other sites were resistant to ciprofloxacin (30.6%), erythromycin (12%), gentamicin (10.3%). LBH isolates were resistant to co-trimoxazole (22.6%), erythromycin (17.2%), ciprofloxacin (13.8%), gentamicin (12.9%). Among MRSA, most of the isolates from both hospitals were resistant to a wide array of antibiotics. A majority of the MSSA and MRSA isolates were susceptible to rifampicin and chloramphenicol. Most of KBH MRSA were homogeneous MRSA, 80.5% (significant), of which, 99.2% were multiresistant oxacillin resistant S. aureus (MORSA). And among the heterogeneous MRSA isolates from KBH, 71% were MORSA. On the other hand, among LBH MRSA isolates, 52.6% were homogeneous MRSA, cent percent of which were MORSA while 47.4% were heterogeneous MRSA of which 44.5% were MORSA. Since almost all of the homogeneous MRSA and most of the heterogeneous MRSA from both hospitals were MORSA, there is a possibility that a hospital acquired S. aureus could be MORSA. Hence, every infected patient should be considered as a potential source of MORSA.
SST and ADITYA tokamak research in India
Bora, Dhiraj;,;,;
Brazilian Journal of Physics , 2002, DOI: 10.1590/S0103-97332002000100032
Abstract: steady state operation of tokamaks plays an important role in high temperature magnetically confined plasma research. steady state superconducting tokamak (sst) programme in india deals with the development of various technologies in this direction. sst-1 [1] machine has been engineered and is being fabricated at the institute for plasma research. the objectives of the machine are to study physics of plasma processes under steady state condition and develop the technologies related to steadystate operation. various sub-systems are being prototyped and developed. sst-1 is a large aspect ratio machine with a major radius of 1.1 m and a plasma minor radius of 0.2 m with elongation of 1.7 to 1.9 and triangularity of 0.5 to 0.7. it has been designed for 1000 sec operation at 3 t toroidal magnetic eld. neutral beam injection and radio frequency heating systems are being developed to heat the plasma. lower hybrid current drive system would sustain 200 ka of plasma current during 1000 sec operation. aditya tokamak [2] has been upgraded with new diagnostics and rf heating systems. thomson scattering and ece diagnostics have been operated. 200 kw ion cyclotron resonance heating (icrh) and 200 kw electron cyclotron resonance heating (ecrh) systems have been successfully commissioned. rf assisted initial breakdown experiments have been initiated with these systems.
Does Technology Lead to Better Financial Performance? A Study of Indian Commercial Banks
Dhiraj Sharma
Managing Global Transitions , 2012,
Abstract: It has been a matter of debate whether Technology provides better financial results and improves productivity. The present paper attempts to study the inter-group comparison of financial performance of Indianbanks by classifying the banks on the basis of usage of Technology. Further,for the purpose of temporal comparison, the period for the studyhas been divided into two parts, i. e. low technology induction periodand high technology induction period. Findings of the paper show thatthe fully IT oriented banks are financially better off than the partiallyIT oriented banks. Moreover, the performance of almost all the banksunder study has tremendously improved in the high technology inductionperiod. However, for the Indian banking industry, the correlationbetween Technology induction and financial productivity is negativethough statistically insignificant and low.
An Improved Approach to perform Crawling and avoid Duplicate Web Pages
Dhiraj Khurana
International Journal of Computer Science and Management Studies , 2012,
Abstract: When a web search is performed it includes many duplicate web pages or the websites. It means we can get number of similar pages at different web servers. We are proposing a Web Crawling Approach to Detect and avoid Duplicate or Near Duplicate WebPages. In this proposed work we are presenting a keyword Prioritization based approach to identify the web page over the web. As such pages will beidentified it will optimize the web search.
SST and ADITYA tokamak research in India
Bora Dhiraj
Brazilian Journal of Physics , 2002,
Abstract: Steady state operation of tokamaks plays an important role in high temperature magnetically confined plasma research. Steady state Superconducting Tokamak (SST) programme in India deals with the development of various technologies in this direction. SST-1 [1] machine has been engineered and is being fabricated at the Institute for Plasma Research. The objectives of the machine are to study physics of plasma processes under steady state condition and develop the technologies related to steadystate operation. Various sub-systems are being prototyped and developed. SST-1 is a large aspect ratio machine with a major radius of 1.1 m and a plasma minor radius of 0.2 m with elongation of 1.7 to 1.9 and triangularity of 0.5 to 0.7. It has been designed for 1000 sec operation at 3 T toroidal magnetic eld. Neutral beam Injection and Radio frequency heating systems are being developed to heat the plasma. Lower hybrid Current Drive system would sustain 200 kA of plasma current during 1000 sec operation. ADITYA tokamak [2] has been upgraded with new diagnostics and RF heating systems. Thomson Scattering and ECE diagnostics have been operated. 200 kW Ion Cyclotron Resonance Heating (ICRH) and 200 kW Electron Cyclotron Resonance Heating (ECRH) systems have been successfully commissioned. RF assisted initial breakdown experiments have been initiated with these systems.
Long Lead-Time Streamflow Forecasting Using Oceanic-Atmospheric Oscillation Indices  [PDF]
Niroj Kumar Shrestha
Journal of Water Resource and Protection (JWARP) , 2014, DOI: 10.4236/jwarp.2014.66062
Abstract:

Climatic variability influences the hydrological cycle that subsequently affects the discharge in the stream. The variability in the climate can be represented by the ocean-atmospheric oscillations which provide the forecast opportunity for the streamflow. Prediction of future water availability accurately and reliably is a key step for successful water resource management in the arid regions. Four popular ocean-atmospheric indices were used in this study for annual streamflow volume prediction. They were Pacific Decadal Oscillation (PDO), El-Nino Southern Oscillation (ENSO), Atlantic Multidecadal Oscillation (AMO), and North Atlantic Oscillation (NAO). Multivariate Relevance Vector Machine (MVRVM), a data driven model based on Bayesian learning approach was used as a prediction model. The model was applied to four unimpaired stream gages in Utah that spatially covers the state from north to south. Different models were developed based on the combinations of oscillation indices in the input. A total of 60 years (1950-2009) of data were used for the analysis. The model was trained on 50 years of data (1950-1999) and tested on 10 years of data (2000-2009). The best combination of oscillation indices and the lead-time were identified for each gage which was used to develop the prediction model. The predicted flow had reasonable agreement with the actual annual flow volume. The sensitivity analysis shows that the PDO and ENSO have relatively stronger effect compared to other oscillation indices in Utah. The prediction results from the MVRVM were compared with the Support Vector Machine (SVM) and the Artificial Neural Network (ANN) where MVRVM performed relatively better.

Unraveling the Design Principle for Motif Organization in Signaling Networks
Samrat Chatterjee, Dhiraj Kumar
PLOS ONE , 2011, DOI: 10.1371/journal.pone.0028606
Abstract: Cellular signaling networks display complex architecture. Defining the design principle of this architecture is crucial for our understanding of various biological processes. Using a mathematical model for three-node feed-forward loops, we identify that the organization of motifs in specific manner within the network serves as an important regulator of signal processing. Further, incorporating a systemic stochastic perturbation to the model we could propose a possible design principle, for higher-order organization of motifs into larger networks in order to achieve specific biological output. The design principle was then verified in a large, complex human cancer signaling network. Further analysis permitted us to classify signaling nodes of the network into robust and vulnerable nodes as a result of higher order motif organization. We show that distribution of these nodes within the network at strategic locations then provides for the range of features displayed by the signaling network.
Modified agricultural waste biomass with enhanced responsive properties for metal-ion remediation: a green approach
Garima Mahajan,Dhiraj Sud
Applied Water Science , 2012, DOI: 10.1007/s13201-012-0050-5
Abstract: Dalbergia sissoo pods, a lignocellulosic nitrogenous waste biomass, was evaluated for sequestering of Cr(VI) from synthetic wastewater. Dalbergia sissoo pods (DSP) were used in three different forms, viz. natural (DSPN), impregnated in the form of hydrated beads (DSPB), and in carbonized form (DSPC) for comparative studies. Batch experiments were performed for the removal of hexavalent chromium. Effects of pH adsorbent dose, initial metal-ion concentration, stirring speed, and contact time were investigated. The removal of metal ions was dependent on the physico-chemical characteristics of the adsorbent, adsorbate concentration, and other studied process parameters. Maximum metal removal for Cr(VI) was observed at pH 2.0. The experimental data were analyzed based on Freundlich and Langmuir adsorption isotherms. Kinetic studies indicated that the adsorption of metal ions followed a pseudo-second-order equation.
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