114 research outputs found
Search for an Optimal Solution to Vague Traffic Problems Using the PSK Method
No full textThere are several algorithms, in literature, for obtaining the fuzzy optimal solution of fuzzy transportation problems (FTPs). To the best of the author's knowledge, in the history of mathematics, no one has been able to solve transportation problem (TP) under four different uncertain environment using single method in the past years. So, in this chapter, the author tried to categories the TP under four different environments and formulates the problem and utilizes the crisp numbers, triangular fuzzy numbers (TFNs), and trapezoidal fuzzy numbers (TrFNs) to solve the TP. A new method, namely, PSK (P. Senthil Kumar) method for finding a fuzzy optimal solution to fuzzy transportation problem (FTP) is proposed. Practical usefulness of the PSK method over other existing methods is demonstrated with four different numerical examples. To illustrate the PSK method different types of FTP is solved by using the PSK method and the obtained results are discussed. </jats:p
PSK-Method-for-Solving-Mixed-and-Type-4-Intuitionistic-Fuzzy-Solid-Transportation-Problems.pdf
No full text In this article, the author categorises the solid transportation problem (STP) under uncertain environments. He formulates the mixed and fully intuitionistic fuzzy solid transportation problems (FIFSTPs) and utilizes the triangular intuitionistic fuzzy number (TIFN) to deal with uncertainty and hesitation. The PSK (P. Senthil Kumar) method for finding an intuitionistic fuzzy optimal solution for fully intuitionistic fuzzy transportation problem (FIFTP) is extended to solve the mixed and type-4 IFSTP and the optimal objective value of mixed and type-4 IFSTP is obtained in terms of triangular intuitionistic fuzzy number (TIFN). The main advantage of this method is that the optimal solution of mixed and type-4 IFSTP is obtained without using the basic feasible solution and the method of testing optimality. Moreover, the proposed method is computationally very simple and easy to understand. Finally, the procedure for the proposed method is illustrated with the help of numerical examples which is followed by graphical representation of the finding. </p
Scalable asynchronous connected components detection based on a parallel union-find algorithm
No full textConnectivity in a graph is a well-studied problem. Various parallel algorithms to detect and label connected components exist, many of which are optimized for a shared-memory environment. However, scientific and engineering applications today process large-scale graphs that do not fit in a single compute node. This calls for a highly scalable solution to the connectivity problem. We propose a novel distributed-memory parallel algorithm based on the Union-Find data structure and asynchronous messaging. We strengthen the scalability of our approach by introducing several optimization techniques for parallel execution. The algorithm is implemented as a library using Charm++, a migratable object-based parallel programming model, allowing any Charm++ application to easily perform connected components detection. MPI applications may also use the library either via Adaptive MPI, or by using interoperability features of Charm++. In addition, the library will also support reading data from the disk. As a driving use case we utilize the library in ChaNGa, a cosmological simulation framework, to detect clusters of stars and classify galaxies. We evaluate the performance of our algorithm for real and synthetic graphs, computing connectivity on a probabilistic mesh benchmark with over 250 million edges in under 10 seconds using 4,096 cores of the Blue Waters (Cray XE) Supercomputer.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-05-01The student, - Senthil Kumar Karthik, accepted the attached license on 2018-04-24 at 16:01.The student, - Senthil Kumar Karthik, submitted this Thesis for approval on 2018-04-24 at 16:17.This Thesis was approved for publication on 2018-04-24 at 17:09.DSpace SAF Submission Ingestion Package generated from Vireo submission #12454 on 2018-08-31 at 17:21:26Made available in DSpace on 2018-09-04T20:36:54Z (GMT). No. of bitstreams: 2
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Previous issue date: 2018-04-24Embargo set by: Seth Robbins for item 107306
Lift date: 2020-09-04T20:37:00Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 107306
Lift date: 2020-09-04T20:42:08Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 107306 on 2020-09-05T09:15:09Z
Comparative Quality Evaluation of Commercial Extruded Snacks
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Effect of Processing on In-Vitro Digestibility of Carbohydrates
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Differential interactions of thin filament proteins in two cardiac troponin T mouse models of hypertrophic and dilated cardiomyopathies
No full textAim: Mutations in a sarcomeric protein can cause hypertrophic cardiomyopathy (HCM) or dilated cardiomyopathy (DCM), the opposite ends of a spectrum of phenotypic responses of the heart to mutations. We posit the contracting phenotypes could result from differential effects of the mutant proteins on interactions among the sarcomeric proteins. To test the hypothesis, we generated transgenic mice expressing either cardiac troponin T (cTnT)-Q92 or cTnT-W141, known to cause HCM and DCM, respectively, in the heart. Methods and results: We phenotyped the mice by echocardiography, histology and immunoblotting, and real-time polymerase chain reaction. We detected interactions between the sarcomeric proteins by co-immunoprecipitation and determined Ca2+ sensitivity of myofibrillar protein ATPase activity by Carter assay. The cTnT-W141 mice exhibited dilated hearts and decreased systolic function. In contrast, the cTnT-Q92 mice showed smaller ventricles and enhanced systolic function. Levels of cardiac troponin I, cardiac α-actin, α-tropomyosin, and cardiac troponin C co-immunoprecipitated with anti-cTnT antibodies were higher in the cTnT-W141 than in the cTnT-Q92 mice, as were levels of α-tropomyosin co-immunoprecipitated with an anti-cardiac α-actin antibody. In contrast, levels of cardiac troponin I co-immunoprecipitated with an anti-cardiac α-actin antibody were higher in the cTnT-Q92 mice. Ca2+ sensitivity of myofibrillar ATPase activity was increased in HCM but decreased in DCM mice compared with non-transgenic mice. Conclusion: Differential interactions among the sarcomeric proteins containing cTnT-Q92 or cTnT-W141 are responsible for the contrasting phenotypes of HCM or DCM, respectively. © The Author 2008
Studies on Testing and Modelling of Formability in Aluminium Alloy Sheet Forming
No full textIn this paper, the influence of tensile and formability parameters on the forming limit diagram is reported and a model is created to predict the forming limit strains of various grades of aluminium sheet metals. Aluminium alloys of grades AA5052, AA6061 and AA8011 with a thickness 0.8 mm, 1.0 mm and 1.2 mm have been selected for the study. Experiments are conducted to construct the forming limit diagram (FLD) for the above mentioned sheet metals. Tensile tests were conducted to evaluate strain hardening index, strength coefficient, ductility, yield strength, ultimate tensile strength, normal anisotropy, planar anisotropy and strain rate sensitivity. The fractured surfaces of the specimens were viewed with a scanning electron microscope. Using Design of Experiments (DOE), regression modelling was done by taking the tensile properties and formability parameters as input variables and the forming limit strain as response. Regression equations were created to predict the limiting strain values at the tension-tension, plane strain and tension-compression strain states. The experimentally evaluated strain values were compared with the predicted strain values and the comparison shows good agreement of the values. The Taguchi method of optimization was used to find the optimum values for the input variables and using these optimum values, the optimum forming limit strains were found. It is found that the so created regression model predicts the FLD of various grades of sheet metals by which the tedious job of experimental determination of the FLD can be avoided
Thermoeconomic Optimization of Organic Rankine Cycle (ORC) for Low Grade Heat Recovery at Temperatures below 100℃
No full textLow-grade heat sources are abundant on earth but are majorly untapped due to lower thermodynamic efficiency at low temperatures and cost considerations. A cost-effective technology is needed to convert this energy resource into useful forms of energy. This work aims at optimizing Organic Rankine Cycle (ORC) based heat engine and a cogeneration system developed to produce electricity and refrigeration from a heat source below 100℃, from both thermodynamic and economic point of view. Exergoeconomics, an algebraic thermoeconomic method, was used to analyze and optimize the systems for cost-effectiveness and exergetic efficiency. Also, the prototype of the cogeneration system was experimentally tested. The results exergoeconomic optimization show that the cost-effectiveness of the cogeneration system can be significantly improved by design parameter changes. The experimental results obtained were comparable with the results obtained from theoretical simulations
Production and size characterization of graphene
No full textGraphene, a 2D nanomaterial made of carbon, has gained interest in the scientific community since its discovery in 2004. Among other properties, graphene has excellent tensile strength, electrical and thermal conductivity and can be used as catalyst. Graphene has no shortage of applications, but large scale production methods are yet to be developed. LPE is a promising method, in which the layers that make up graphite are separated to produce graphene in a liquid medium. However, the flakes that are produced are polydispersed in size and thickness, which leads to the need for size selection. Current studies have achieved size selection with centrifugation. However, centrifugation has thus far been a trial and-error procedure, without understanding the underlying physics and statistics. This research focuses on creating a rational basis by combining experiments with simulations based on fluid dynamics and statistics. By combining results from simulations and experiments we are able to arrive at the size distributions of initial stock dispersion of graphene that was made from LPE. The simulations entail plate particle settling in a tube, where randomly generated polydisperse particles are randomly distributed in a tube. Stokes settling velocity is assumed for each particle. In parallel to this, we perform sedimentation experiments of stock dispersion at fixed relative centrifugal force (RCF) for different times. From the experiments we know the mass transfer from the supernatant to the sediment and the average thickness of the plates in the supernatant. Both these experimental results allow us to narrow the initial particle size distributions we assumed in the simulations. Thus we have developed a technique based on simple experiments and simulations that gives great insight into particle size distribution without having to perform tedious characterization such as AFM or TEM. Once the particle size distribution is known for a specific LPE protocol, it will allow the likes of both industry and academia to standardize graphene quality.<br/
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