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3,710 research outputs found

A Navier-Stokes Solution of Hull-Ring Wing-Thruster Interaction

Author: Hartwich P.
Sundaram P.
Yang C.-I.
Publication venue
Publication date
Field of study

Navier-Stokes simulations of high Reynolds number flow around an axisymmetric body supported in a water tunnel were made. The numerical method is based on a finite-differencing high resolution second-order accurate implicit upwind scheme. Four different configurations were investigated, these are: (1) barebody; (2) body with an operating propeller; (3) body with a ring wing; and (4) body with a ring wing and an operating propeller. Pressure and velocity components near the stern region were obtained computationally and are shown to compare favorably with the experimental data. The method correctly predicts the existence and extent of stern flow separation for the barebody and the absence of flow separation for the three other configurations with ring wing and/or propeller

NASA Technical Reports Server

Robotic Partial Nephrectomy for a Peripheral Renal Tumor

Author: Cooper Caleb A.
Shum Cheuk Fan
Sundaram Chandru P.
Publication venue: 'Mary Ann Liebert Inc'
Publication date: 01/05/2018
Field of study

Partial nephrectomy (PN) is the preferred surgical treatment for T1 renal tumors whenever technically feasible. When properly performed, it allows preservation of nephron mass without compromising oncologic outcomes. This reduces the postoperative risk of renal insufficiency, which translates into better overall survival for the patients. PN can be technically challenging, because it requires the surgeon to complete the tasks of tumor excision, hemostasis and renorrhaphy, all within an ischemic time of preferably below 30 minutes. The surgeon needs to avoid violating the tumor margins while leaving behind the maximal parenchymal volume at the same time. Variations such as zero ischemia, early unclamping, and selective clamping have been developed in an attempt to reduce the negative impact of renal ischemia, but inevitably add to the steep learning curves for any surgeon. Being able to appreciate the fine details of each surgical step in PN is the fundamental basis to the success of this surgery. The use of the robotic assistance allows a good combination of the minimally invasive nature of laparoscopic surgery and the surgical exposure and dexterity of open surgery. It also allows the use of adjuncts such as concurrent ultrasound assessment of the renal mass and intraoperative fluorescence to aid the identification of tumor margins, all with a simple hand switch at the console. Robot-assisted laparoscopic PN is now the most commonly performed type of PN in the United States and is gaining acceptance on the global scale. In this video, we illustrate the steps of robot-assisted laparoscopic PN and highlight the technical key points for success

IUPUIScholarWorks

Foreword

Author: Bradley Michael
Schipani Cindy A.
Sundaram Anant K.
Walsh James P.
Publication venue: Duke University School of Law
Publication date: 01/07/1999
Field of study

Duke Law Scholarship Repository

The Purposes and Accountability of the Corporation in Contemporary Society: Corporate Governance at a Crossroads

Author: Bradley Michael
Schipani Cindy A.
Sundaram Anant K.
Walsh James P.
Publication venue: Duke University School of Law
Publication date: 01/07/1999
Field of study

Little attention has been paid to how the governance structures of public corporations adapt to structural changes in the social, political, economic and legal environments in which they operate. Bradley et al chronicle the recent changes in the conduct of business enterprise and establish the necessary conditions for a system of corporate governance capable of accommodating these changes

bepress Legal Repository

Duke Law Scholarship Repository

Two generalizations of the PRV conjecture

Author: B. Pasquier
Fulton
Kapovich
Mathieu
N. Ressayre
P. L. Montagard
Seshadri
Sundaram
Publication venue: 'Wiley'
Publication date: 13/04/2010
Field of study

Let G be a complex connected reductive group. The PRV conjecture, which was proved independently by S. Kumar and O. Mathieu in 1989, gives explicit irreducible submodules of the tensor product of two irreducible G-modules. This paper has three aims. First, we simplify the proof of the PRV conjecture, then we generalize it to other branching problems. Finally, we find other irreducible components of the tensor product of two irreducible G-modules that appear for "the same reason" as the PRV ones

arXiv.org e-Print Archive

Crossref

HAL Descartes

Determination of Optimal Double Sampling Plan using Genetic Algorithm

Author: S P Deepa
Sampath Sundaram
Publication venue: 'Pakistan Journal of Statistics and Operation Research'
Publication date: 01/03/2012
Field of study

Designing double sampling plan requires identification of sample sizes and acceptance numbers. In this paper a genetic algorithm has been designed for the selection of optimal acceptance numbers and sample sizes for the specified producer’s risk and consumer’s risk. Implementation of the algorithm has been illustrated numerically for different choices of quantities involved in a double sampling plan    <script type="text/javascript"><!--\ud var Transliterate = {\ud loaded: false,\ud // HRef\ud is_local:false,\ud is_write:false,\ud is_newtab:false,\ud getHead: function(){\ud var head = document.getElementsByTagName('head')[0];\ud if (!head) {\ud return document.body;\ud }\ud return head;\ud },\ud addGlobalStyle: function(css) {\ud var head = Transliterate.getHead();\ud var style = document.createElement('style');\ud style.type = 'text/css';\ud style.innerHTML = css;\ud head.appendChild(style);\ud },\ud \ud addScript: function(scriptSrc, callback){\ud var head = Transliterate.getHead();\ud var script = document.createElement('script');\ud script.language = "JavaScript";\ud script.src = scriptSrc;\ud script.type = 'text/javascript';\ud if(callback){\ud script.onload = function(){\ud callback();\ud script.onload = null;\ud };\ud }\ud head.appendChild(script);\ud },\ud \ud addStyles: function(){\ud Transliterate.addGlobalStyle('.goog-transliterate-indic-suggestion-menu {position: absolute;background-color: #EFEFEF;border: 1px outset #7F7F7F;cursor: default;font: small arial, helvetica, sans-serif;margin: 0px;padding: 0px;outline: none;z-index: 20000;}');\ud //Transliterate.addGlobalStyle('.goog-transliterate-indic-suggestion-menuitem-highlight {background-color: #C3D9FF;border-color: #70a0b0;}');\ud Transliterate.addGlobalStyle('.goog-transliterate-indic-suggestion-menuitem {position: relative;padding: 1px 1em;margin: 0px;list-style: none;}');\ud Transliterate.addGlobalStyle('.fnts, .combo119922{font-family:arial,sans-serif;font-size:10px !important;}.lab{cursor: pointer;}');\ud //Transliterate.addGlobalStyle('.cbut{background: #C3D9FF;border: 1px solid #5F9DFF;}');\ud // HRef\ud Transliterate.addGlobalStyle('.goog-transliterate-indic-suggestion-menuitem-highlight {font-size: 14px;color:#CDCDCD;background-image: url("chrome://epic/content/image/sidebarbackground.png");background-repeat: repeat-x;border-color: #70a0b0;}');\ud Transliterate.addGlobalStyle('.opt0, .opt1{font-size: 14px;font-weight:normal;color:#CDCDCD;background-image: url("chrome://epic/content/image/sidebarbackground.png");background-repeat: repeat-x;}');\ud Transliterate.addGlobalStyle('.opt0:hover, .opt1:hover{background:#FF6D00;}');\ud if ((this.is_local) || (this.is_write)) {\ud Transliterate.addGlobalStyle('.cbut{background: #CDCDCD;border: 1px solid #000000;}');\ud Transliterate.addGlobalStyle('.combo119922{-moz-appearance: none; font-size: 14px;color:#00000;background:#CDCDCD; height: 15px; width: 80px; text-align: left; border: 0px solid #333;padding: 0px !important; margin: 0px !important;}');\ud } else {\ud Transliterate.addGlobalStyle('.cbut{background: #CDCDCD;border: 1px solid #8A8384;}');\ud Transliterate.addGlobalStyle('.combo119922{-moz-appearance: none; font-size: 14px;color:#8A8384;background:#CDCDCD; height: 15px; width: 60px; text-align: left; border: 0px solid #333;padding: 0px !important; margin: 0px !important;}');\ud }\ud //Transliterate.addGlobalStyle('.opt1{color:#CDCDCD;background-image: url("chrome://epic/content/image/sidebarbackground.png");background-repeat: repeat-x;}');\ud //Transliterate.addGlobalStyle('.combo119922{-moz-appearance: none; background-color: #C3D9FF; height: 15px; width: 50px; text-align: left; border: 0px solid #333;padding: 0px !important; margin: 0px !important;}');\ud Transliterate.addGlobalStyle('.check1{-moz-appearance: none;border: 1px solid #a82; margin-left: 3px; color: #13c;}');\ud Transliterate.addGlobalStyle('.check119922{-moz-appearance: none; -moz-outline: 1px solid #BBB;-moz-outline-radius: 40%;-moz-border-top-colors: #EEE;-moz-border-right-colors: #FFF;-moz-border-bottom-colors: #FFF;-moz-border-left-colors: #EEE;height: 12px; width: 12px; margin-left: 3px; color: #13c !important;background: none;}');\ud },\ud \ud transliterationControl: undefined,\ud initialized: false,\ud defaultLanguage: 'HINDI',\ud currentLanguage: null,\ud supportTextBoxes: false,\ud enabledElements: [],\ud \ud init: function() {\ud if(Transliterate.initialized){\ud return;\ud }\ud var lang = Transliterate.getCookie('Transliterate_LANG');\ud lang = (la

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Directory of Open Access Journals

Pakistan Journal of Statistics and Operation Research

FiSH: Fair Spatial Hotspots

Author: P Deepak
Sundaram Sowmya S
Publication venue
Publication date: 01/06/2021
Field of study

Pervasiveness of tracking devices and enhanced availability of spatially located data has deepened interest in using them for various policy interventions, through computational data analysis tasks such as spatial hot spot detection. In this paper, we consider, for the first time to our best knowledge, fairness in detecting spatial hot spots. We motivate the need for ensuring fairness through statistical parity over the collective population covered across chosen hot spots. We then characterize the task of identifying a diverse set of solutions in the noteworthiness-fairness trade-off spectrum, to empower the user to choose a trade-off justified by the policy domain. Being a novel task formulation, we also develop a suite of evaluation metrics for fair hot spots, motivated by the need to evaluate pertinent aspects of the task. We illustrate the computational infeasibility of identifying fair hot spots using naive and/or direct approaches and devise a method, codenamed {\it FiSH}, for efficiently identifying high-quality, fair and diverse sets of spatial hot spots. FiSH traverses the tree-structured search space using heuristics that guide it towards identifying effective and fair sets of spatial hot spots. Through an extensive empirical analysis over a real-world dataset from the domain of human development, we illustrate that FiSH generates high-quality solutions at fast response times

arXiv.org e-Print Archive

Queen's University Belfast Research Portal

PubMed Central

Institutionelles Repositorium der Leibniz Universität Hannover