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Search Results: 1 - 10 of 239469 matches for " C. Raghu Kumar "
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Application of High Tension Roll Separator for the Separation of Titanium Bearing Minerals: Process Modeling and Optimization  [PDF]
Srijith Mohanan, Sunil Kumar Tripathy, Y. Ramamurthy, C. Raghu Kumar
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2012, DOI: 10.4236/jmmce.2012.1110103
Abstract: The High Tension Roll Separator (HTRS) is one of the main electrostatic unit operations employed to separate titanium minerals like ilmenite, rutile and leucoxene which behave as conducting from zircon, sillimanite, garnet and monazite which behave as non-conducting minerals when a high potential difference is applied. Three process inputs, namely roll speed, feed material temperature and roll speed have been optimized. Experiments were conducted based on the Box- Behnken factorial design; the results were analyzed using response surface methodology (RSM). A new term, called Operational Quality Index (OQI) has been defined as a process output, which is maximized by quadratic programming, to obtain the optimum operating conditions. The maximum value of OQI obtained under the constraints of grade >96% and recovery >98% is 195.53, at the following operating conditions—Temperature: 102°C, Feed Rate: 1.75 tph and Roll Speed: 132 rpm. Under these conditions, the grade and recovery obtained are 96.6% and 98.9% respectively.
Characterisation and Pre-concentration of Chromite Values from Plant Tailings Using Floatex Density Separator  [PDF]
C. Raghu Kumar, Sunil Tripathy, D.S. Rao
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2009, DOI: 10.4236/jmmce.2009.85033
Abstract: Classification is a method of separation of fines from coarse particles and also lighter particles from heavier particles. The conventional classifiers, such as, hydrocyclone or mechanical classifiers, decreases the efficiency of the grinding and concentration circuits due to their imperfect separation. In the process of improving the efficiency of classification, a device that has been gaining popularity in recent years is the teeter-bed or hindered-bed separator such as Floatex density separator. Generally for processing chromite ores, different types of gravity methods are employed after crushing, grinding followed by classification. The Tata Steel Chrome Ore Beneficiation (COB) plant is generating 50 tph of tailings assaying 17% Cr2O3. A critical review on practice of the plant operating personnel is concerned in the grade-recovery characteristics of unit operations. But separation insight and influence of different operating and process parameters are essential to understand and control the process. The objective of the present investigation was to study the effect of the important operating variables on floatex density separator and preconcentration of COB plant tailings for the further beneficiation process and found that significant removal of iron bearing mineral such as goethite and silica is possible using FDS in a single stage operation. The maximum of 83% recovery of chromite is possible with 22 to 23% Cr2O3 content and thus obtained FDS underflow is suitable for flotation circuit. A low teeter water flow rate with a high bed pressure removes iron bearing mineral like goethite efficiently in an FDS.
An Approach to Parallelization of SIFT Algorithm on GPUs for Real-Time Applications  [PDF]
Raghu Raj Prasanna Kumar, Suresh Muknahallipatna, John McInroy
Journal of Computer and Communications (JCC) , 2016, DOI: 10.4236/jcc.2016.417002
Abstract: Scale Invariant Feature Transform (SIFT) algorithm is a widely used computer vision algorithm that detects and extracts local feature descriptors from images. SIFT is computationally intensive, making it infeasible for single threaded im-plementation to extract local feature descriptors for high-resolution images in real time. In this paper, an approach to parallelization of the SIFT algorithm is demonstrated using NVIDIA’s Graphics Processing Unit (GPU). The parallel-ization design for SIFT on GPUs is divided into two stages, a) Algorithm de-sign-generic design strategies which focuses on data and b) Implementation de-sign-architecture specific design strategies which focuses on optimally using GPU resources for maximum occupancy. Increasing memory latency hiding, eliminating branches and data blocking achieve a significant decrease in aver-age computational time. Furthermore, it is observed via Paraver tools that our approach to parallelization while optimizing for maximum occupancy allows GPU to execute memory bound SIFT algorithm at optimal levels.
Acceleration of Points to Convex Region Correspondence Pose Estimation Algorithm on GPUs for Real-Time Applications  [PDF]
Raghu Raj P. Kumar, Suresh S. Muknahallipatna, John E. McInroy
Journal of Computer and Communications (JCC) , 2016, DOI: 10.4236/jcc.2016.417001
Abstract: In our previous work, a novel algorithm to perform robust pose estimation was presented. The pose was estimated using points on the object to regions on image correspondence. The laboratory experiments conducted in the previous work showed that the accuracy of the estimated pose was over 99% for position and 84% for orientation estimations respectively. However, for larger objects, the algorithm requires a high number of points to achieve the same accuracy. The requirement of higher number of points makes the algorithm, computationally intensive resulting in the algorithm infeasible for real-time computer vision applications. In this paper, the algorithm is parallelized to run on NVIDIA GPUs. The results indicate that even for objects having more than 2000 points, the algorithm can estimate the pose in real time for each frame of high-resolution videos.
The Caenorhabditis elegans Kinesin-3 Motor UNC-104/KIF1A Is Degraded upon Loss of Specific Binding to Cargo
Jitendra Kumar equal contributor,Bikash C. Choudhary equal contributor,Raghu Metpally,Qun Zheng,Michael L. Nonet,Sowdhamini Ramanathan,Dieter R. Klopfenstein,Sandhya P. Koushika
PLOS Genetics , 2010, DOI: 10.1371/journal.pgen.1001200
Abstract: UNC-104/KIF1A is a Kinesin-3 motor that transports synaptic vesicles from the cell body towards the synapse by binding to PI(4,5)P2 through its PH domain. The fate of the motor upon reaching the synapse is not known. We found that wild-type UNC-104 is degraded at synaptic regions through the ubiquitin pathway and is not retrogradely transported back to the cell body. As a possible means to regulate the motor, we tested the effect of cargo binding on UNC-104 levels. The unc-104(e1265) allele carries a point mutation (D1497N) in the PI(4,5)P2 binding pocket of the PH domain, resulting in greatly reduced preferential binding to PI(4,5)P2 in vitro and presence of very few motors on pre-synaptic vesicles in vivo. unc-104(e1265) animals have poor locomotion irrespective of in vivo PI(4,5)P2 levels due to reduced anterograde transport. Moreover, they show highly reduced levels of UNC-104 in vivo. To confirm that loss of cargo binding specificity reduces motor levels, we isolated two intragenic suppressors with compensatory mutations within the PH domain. These show partial restoration of in vitro preferential PI(4,5)P2 binding and presence of more motors on pre-synaptic vesicles in vivo. These animals show improved locomotion dependent on in vivo PI(4,5)P2 levels, increased anterograde transport, and partial restoration of UNC-104 protein levels in vivo. For further proof, we mutated a conserved residue in one suppressor background. The PH domain in this triple mutant lacked in vitro PI(4,5)P2 binding specificity, and the animals again showed locomotory defects and reduced motor levels. All allelic variants show increased UNC-104 levels upon blocking the ubiquitin pathway. These data show that inability to bind cargo can target motors for degradation. In view of the observed degradation of the motor in synaptic regions, this further suggests that UNC-104 may get degraded at synapses upon release of cargo.
Real-Time Range of Motion Measurement of Physical Therapeutic Exercises  [PDF]
Raghu Raj Prasanna Kumar, Suresh Muknahallipatna, John McInroy, Mark McKenna, Lori Franc
Journal of Computer and Communications (JCC) , 2017, DOI: 10.4236/jcc.2017.59003
Abstract: Physical therapeutic exercise (PTE) is the planned process of performing bodily movements, postures, or physical activities to provide a patient with the ability to remediate or prevent impairments at a minimum. The efficacy of the PTE involves measuring accurately the range of motion (ROM) of joint functions and parameters that indicate the onset of fatigue, jerky motion, and muscle/joint resistance to the PTE. A physical therapist (PT) typically determines the efficacy of a PTE by measuring joint angles in clinical diagnosis to assess the ROM using the simple device Goniometer since motion capture systems are generally expensive, difficult to use, and currently not suited for real-time operations. The joint angle measurement using Goniometer suffers from low accuracy, low reliability and subjective. Furthermore, a patient when performing PTE by themselves at remote locations like their home or community centers cannot use a Goniometer to determine the efficacy. In this study, we present the approach of using an inexpensive, simple human motion capture system (HMCS) consisting of a single camera and a graphical processing unit (GPU) to perform the efficacy of the PTE in real-time. The approach involves the use of general purpose graphic processing unit (GPGPU) computer vision technique to track and record human motion and relate the tracked human motion to the prescribed physical therapy regimen in real-time. We have developed a tracking algorithm derived from the Klein’s algorithm known as the Modified Klein’s algorithm (MKA) capable of tracking human body parts while the original Klein’s algorithm was only capable of tracking objects with sharp edges. The MKA algorithm is further modified for parallel execution on a GPU to operate in real-time. Using the GPU, we are able to track multiple markers in a high definition (HD) frame of the HD video in 1.77 msecs achieving near real-time capability of ROM measurements. Furthermore, the error in the ROM measurements in comparison to Goniometer measurements is in the range of -2.4° to +1.4°, which is well within the joint measurement prescribed standards. The suitability of the HMCS for elbow PTE is also presented.
Waking up dormant tumors
Joyce C Tse, Raghu Kalluri
Breast Cancer Research , 2011, DOI: 10.1186/bcr2872
Abstract: Research in recent years has highlighted the interactions between cancer cells and stromal cells as crucial determinants of cancer progression [1]. Stromal cells of the tumor microenvironment, which includes fibroblasts, endothelial cells, immune cells and more, actively participate in the tumorigenic process and have become important therapeutic targets in cancer [2]. In addition to local stromal interactions within the tumor micro-environment, tumors appear to have a systemic effect that can influence cancer progression, primarily via the stimulation of bone marrow cells [3].In a previous study 3 years ago, McAllister and colleagues [4] reported that certain tumors (termed 'instigators') can foster the growth of otherwise indolent tumors (termed 'responders') at a distant anatomical site via the activation and recruitment of bone marrow cells. However, the identity of the activated bone marrow cells and their specific contribution had not been determined.Researchers from McAllister's group at Brigham and Women's Hospital have now determined the identity of the activated bone marrow cells responsible for stimulating the growth of otherwise indolent tumor cells and further characterized the impact of the activated bone marrow cells on these responding tumors [5]. In addition, they have identified a molecular mechanism by which the activated bone marrow cells facilitate growth of the responding tumors.Histological analysis of the responding tumors stimulated by the bone marrow cells demonstrated a greater desmoplastic reaction with increased distribution of alpha-smooth muscle actin-positive myofibroblasts and excess collagen deposition. Elkabets and colleagues [5] determined that the myofibroblasts are not bone marrow derived; thus, the bone marrow cells are not differentiating into myofibroblasts but rather activating the myofibroblasts within the tumor microenvironment.Fluorescence-activated cell sorting (FACS) analysis of the activated bone marrow cells identifie
Silver ion recognition using potentiometric sensor based on recently synthesized isoquinoline-1,3-dione derivatives
AJAR KAMAL,RAJIV KUMAR PURI,RAGHU RAJ,VIPAN KUMAR
Journal of Electrochemical Science and Engineering , 2012,
Abstract: The four derivatives of isoquinoline-1,3-dione based on β-lactum (I-IV), have been explored as neutral ionophores for preparing poly(vinylchloride) based polymeric membrane electrodes (PME) selective to silver(I) ions. The addition of sodium tetraphenylborate (NaTPB) and dioctylsebacate (DOS) as a plasticizer was found to improve the performance of ion selective electrodes. The best performance was obtained with PME-1 based on ionophore I having composition: ionophore (9.2 mg), PVC (100.1 mg), DOS (201.1 mg) and NaTPB (1.5 mg) in 5 mL tetrahydrofuran. The electrode response was linear with Nernstian slope of 58.44 mV/decade in the concentration range of 1.0 x 10-1 M to 5.0 x 10-6 M and detection limit of 5.83 x 10-6 M. It performs satisfactorily over wide pH range of 1.0-5.5. The proposed sensor can be used over a period of more than three months without any significant drift in potential and shows good selectivity to silver(I) ion over a number of cations especially with no interference of mercury(II) ions. Sharp end point was obtained when the sensor was used as an indicator electrode for the potentiometric titration of silver(I) ions with chloride ions and therefore this electrode (PME-1) could be used for quantitative determination of silver(I) ion in synthetic water, silver foil and dental amalgam samples.
A Domestic Case Studies Probability to Overcome Software Failures
Ch. Suresh Kumar,D. Raghu,P. Ratna Kumar
Journal of Telematics and Informatics , 2013, DOI: 10.12928/jti.v1i1.980
Abstract: Computers are the pervasive technology of our time. As computer become critically tied to human life, it also becomes more important that interactions with them are under control. They are no longer a novelty, but are integrated into the fabric of our world, performing both high and low-level tasks. That is, computers may be used to eliminate heavy, redundant work and more. Sophisticated machines have been deployed to perform remote surgery or detect subterranean landmines in repopulated civilian areas. The increasing importance of computers in our lives means that it is essential that the design of computer systems incorporates techniques that can ensure reliability, safety and security. This paper will examine technological mishaps involving the use of computers. This review will include notorious software bugs that have affected finance, communication, transit, defense, health and medicine and others systems or industries. The sequence and etiology of these accidents will be discusses as well as how catastrophes may be avoided in the future through lessons and practices based on research.
PANDA FACIES
Muthukumar Ramamoorthy,Raghu Kumaran,Vijayalakshim C
Otolaryngology Online Journal , 2012,
Abstract: A case of bilateral peri orbital ecchymosis without any identifiable pathology,which subsided on its own, in due course.
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