647 research outputs found
The role of part structure in the perceptual localization of a shape
No full textThe process of object localization may be accomplished with respect to a particularreference location, such as the center of gravity, COG (eg Vishwanath and Kowler, 2003 VisionResearch 43 1637-1653). Here, we investigated how part structure affects an object's referencelocation. The reference location was evaluated with a measure of the illusory displacement of an internal target element embedded within a larger object (Morgan et al, 1990 Vision Research 30 1793-1810). To examine whether the reference location is different for shapes with part structure, two shapes were tested: circle (small and large; no part structure) and bell (shape with two parts, one larger than the other). Results were examined with respect to two predictions: either the location of an object is based on its shape as a whole, disregarding part structure (ie a single, overall COG), or the parts are processed separately (different COGs).With the circles, the results showed a systematic illusory displacement of the internal target toward the COG. With the bell, the illusion was significantly weaker than with both circles--even though the main part of the bell had the same size as the small circle, and its horizontal axis had the same extent as the large circle. Moreover, the distance judgments for the bell were consistent with a (weaker) reference point being located at the COG of the larger part, rather than at the COG of the entire bell. These results show that the part structure of a shape plays a role in the representation of its location, and that for complex shapes the perceived location of an embedded element depends more on the parts within which it is embedded, rather than on the whole shape.Supported by the Air Force Office of Scientific Research, Grant AF 49620- 02-1-0112, Life Sciences Directorate to Eileen Kowler, and by NSF, Grant BCS-0216944 to Manish Singh.AF 29620-02-1-0112; to Eileen KowlerNSF BCS-0216944; to Manish SinghDenisova, Kristina, Manish Singh, Eileen Kowler, 2006. The definitive, peer-reviewed and edited version of this article is published in Perception, 35, 1073-1087, DOI:10.1068/p5518
CJKHD_suppl – Supplemental material for Prediction of Progression in Polycystic Kidney Disease Using the Kidney Failure Risk Equation and Ultrasound Parameters
No full textSupplemental material, CJKHD_suppl for Prediction of Progression in Polycystic Kidney Disease Using the Kidney Failure Risk Equation and Ultrasound Parameters by Ayub Akbari, Navdeep Tangri, Pierre A. Brown, Mohan Biyani, Emily Rhodes, Teerath Kumar, Wael Shabana and Manish M. Sood in Canadian Journal of Kidney Health and Disease</p
Supplementary_files - Juvenile toxicity study of Gossence™ (galactooligosaccharides) in Sprague Dawley rats
No full textSupplementary_files for Juvenile toxicity study of Gossence™ (galactooligosaccharides) in Sprague Dawley rats by Manish Jain, Moninder Kaur, Deepika Pandey Tiwari, Chandrashekara Vishwanath, Nataraju Javaregowda, Govind Chandrayan, Prabhakar Y Bhoite, Mohan Krishnappa and Ashok Kumar Dubey in Toxicology Research and Application</p
Supplemental Material, Additional_Supplementary_Data - Juvenile toxicity study of Gossence™ (galactooligosaccharides) in Sprague Dawley rats
No full textSupplemental Material, Additional_Supplementary_Data for Juvenile toxicity study of Gossence™ (galactooligosaccharides) in Sprague Dawley rats by Manish Jain, Moninder Kaur, Deepika Pandey Tiwari, Chandrashekara Vishwanath, Nataraju Javaregowda, Govind Chandrayan, Prabhakar Y Bhoite, Mohan Krishnappa and Ashok Kumar Dubey in Toxicology Research and Application</p
Supplemental Material, Histology_of_Cecum_Images - Juvenile toxicity study of Gossence™ (galactooligosaccharides) in Sprague Dawley rats
No full textSupplemental Material, Histology_of_Cecum_Images for Juvenile toxicity study of Gossence™ (galactooligosaccharides) in Sprague Dawley rats by Manish Jain, Moninder Kaur, Deepika Pandey Tiwari, Chandrashekara Vishwanath, Nataraju Javaregowda, Govind Chandrayan, Prabhakar Y Bhoite, Mohan Krishnappa and Ashok Kumar Dubey in Toxicology Research and Application</p
Dynamic modeling and forecasting algorithms for financial data systems
No full textIt is a valid question that why a Control Systems Engineer would be interested in dealing with financial instruments. Financial instruments involving option theory are very elegant, math oriented and practical. These mathematical tools have created a new industry known as 'Derivative Industry' or 'Hedge-Fund Industry' or so called 'Risk-Management Industry'. This thesis is aimed at developing investment strategies involving the decision making needs via control system techniques. The problem, in general, is computationally challenging particularly when investment of many securities is involved resulting in a high dimensional computational framework. Furthermore, complications may arise due to realistic restrictions and non-linearities. The various areas of financial engineering are very fertile for the application of the system methodology and control theory techniques. Modeling, optimization, identification and computational methods used in the Systems Engineering can be successfully applied to the financial instruments. The ideas developed in this thesis are more about the scientific reasoning involving financial instruments rather than specific situations alone. Major contribution of this thesis is the time series optimal prediction filter and the development of the Dynamic Modeling and Forecasting Algorithm (DMFA). The proposed algorithm predicts the next data point of the financial time series while dynamically computing the parameters from existing data. The computation of the parameters is optimized by use of the recursive matrix inversion algorithm. The system is solved via an innovative technique of inversion such that it avoids explicit inversion of more than a 2 X 2 matrix and computation of higher dimensional determinants and co-factors. This results in new contributions to computation finance and numerical methodology along with arbitrage decision and hedging strategies under market uncertainties as well as robust control applications. The minimum mean-square algorithm used assures system stability via poles within the unit circle. The DMFA method is a superior auto regression (AR) model as a general system of time-series realizations in-order to calculate the coefficients that fit the model for a better prediction. Theoretical modeling and market specific volatility models, updated volatility computation are derived from the observation data.Ph.D.Includes bibliographical referencesIncludes vitaby Manish Mahaja
Characteristics of Technical Translation : An evaluation
No full text47-49Popular science writing is a significant genre of science communication. Communicating the S&T related progress and inculcation of scientific
temper in the society are the major goals of this genre also. Generating and publishing authentic scientific literature in the Indian languages
including Hindi are huge challenges. To resolve this challenge in the scientific literature, translators and editors play vital role. Besides the
translation of scientific literature, while translating research papers, translators face numerous difficulties. In this research paper, the author has
shared the major characteristics of technical translation of scientific literature and research papers. In addition, he has also empirically evaluated
the work of technical translation
The relationship between spatial pooling and attention in saccadic and perceptual tasks
No full textAbstractSaccades aimed at spatially extended targets land reliably at central locations determined by pooling information across the target shape [Melcher, D., & Kowler, E. (1999). Shape, surfaces and saccades. Vision Research, 39, 2929–2946; Vishwanath, D., & Kowler, E. (2003). Localization of shapes: Eye movements and perception compared. Vision Research, 43, 1637–1653]. Previous findings of saccadic errors when attempting to look at a target in the midst of distractors encouraged suggestions that pooling occurs indiscriminately, with little or no influence of a selective filter to eliminate the influence of nearby distractors. To determine the effectiveness of filtering, saccadic localization was studied for saccades made to a set of target elements (discs) interleaved with an equivalent set of distractors of a different color. With such interleaved elements, selection and spatial pooling are constrained to occur over the same spatial region. The results showed that filtering was effective and saccadic landing position was determined mainly by the target elements. Concurrent perceptual judgments made about the same stimuli (estimating the mean size of either target or distractor discs) showed better performance for the target discs than distractors, confirming that perceptual attention was allocated to the set of target elements. These results: (1) support the role of attention in setting the input to the spatial pooling process that guides saccades to spatially extended targets, and (2) show that perceptual judgments of mean value, often thought to impose modest attentional demands, are not immune to the constraints of this pre-saccadic filter
Cathodic Arc Discharge for Synthesis of Carbon Nanoparticles
No full textIn this chapter, the authors report further experimental details and several physical analyses of the floating powder and propose a model for the formation mechanism. They discussed the ability to analyze carbon nanoparticle formation in terms of a charged dusty plasma process. The detected carbon nanoparticles using a Langmuir probe technique are in agreement with the presence of fullerene-sized molecules in the plasma. The plasma can also be visually observed to surround the anode, indicating the direction of plasma expansion. There is a plasma zone between electrodes surrounded by a gas bubble due to vaporization of the surrounding liquid, as the arc temperature is estimated to be around 4000 K. The extremely sharp temperature gradient in the gas bubbles emanating from the hot plasma region to the gas–water interface is essential to cause rapid solidification of the vaporized carbon. Subsequent to the formation of onions, carbon particles coagulate into larger van der Waals crystals
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