1,722,309 research outputs found
Automating design intent capture for component based software reusability
Get PDFThesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1998.Includes bibliographical references (leaves 119-122).by Siva Kumar Dirisala.M.S
Parameter and Controller Synthesis for Markov Chains with Actions and State Labels
Get PDFThis paper introduces a novel approach for synthesizing parameters and controllers for Markov Chains with Actions and State Labels (ASMC). Requirements which are to be met by the controlled system are specified as formulas of asCSL, which is a powerful temporal logic for characterizing both state properties and action sequences of a labeled Markov chain. The paper proposes two separate - but related - algorithms for untimed until type and untimed general
asCSL formulas. In the former case, a set of transition rates and a common rate reduction factor are determined. In the latter case, a controller which is to be composed in parallel with the given
ASMC is synthesized. Both algorithms are based on some rather simple heuristics
APPENDIX – Supplemental material for An assessment of construction waste management in India: A statistical approach
No full textSupplemental material, APPENDIX for An assessment of construction waste management in India: A statistical approach by Swarna Swetha Kolaventi, TP Tezeswi and MVN Siva Kumar in Waste Management & Research</p
sj-jpg-4-tdo-10.1177_00494755231218773 - Supplemental material for Abdominal wall calcification in a peritoneal dialysis patient
No full textSupplemental material, sj-jpg-4-tdo-10.1177_00494755231218773 for Abdominal wall calcification in a peritoneal dialysis patient by M. Gurupriya, G. Anuhya, Mathini Sundarmurthy, Aishwarya P Lakshmi, R. Ram and V Siva Kumar in Tropical Doctor</p
sj-jpg-2-tdo-10.1177_00494755231218773 - Supplemental material for Abdominal wall calcification in a peritoneal dialysis patient
No full textSupplemental material, sj-jpg-2-tdo-10.1177_00494755231218773 for Abdominal wall calcification in a peritoneal dialysis patient by M. Gurupriya, G. Anuhya, Mathini Sundarmurthy, Aishwarya P Lakshmi, R. Ram and V Siva Kumar in Tropical Doctor</p
sj-jpg-3-tdo-10.1177_00494755231218773 - Supplemental material for Abdominal wall calcification in a peritoneal dialysis patient
No full textSupplemental material, sj-jpg-3-tdo-10.1177_00494755231218773 for Abdominal wall calcification in a peritoneal dialysis patient by M. Gurupriya, G. Anuhya, Mathini Sundarmurthy, Aishwarya P Lakshmi, R. Ram and V Siva Kumar in Tropical Doctor</p
sj-docx-1-pie-10.1177_09544089231221545 - Supplemental material for Process-structure-property studies on synergetic effect of contact and non-contact ultrasonication in AA5083-based bulk nanocomposite
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231221545 for Process-structure-property studies on synergetic effect of contact and non-contact ultrasonication in AA5083-based bulk nanocomposite by HM Vishwanatha, Eravelly Jayakumar, Sudipto Ghosh and Cheruvu Siva Kumar in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
A hybrid GA-ANFIS and F-Race tuned harmony search algorithm for Multi-Response optimization of Non-Traditional Machining process
No full textThe present study focuses on development of prediction models with respect to various cut quality characteristics such as material removal rate, kerf taper and surface roughness for a well-known non-traditional machining process namely abrasive aqua jet cutting (AAJC) of natural fibre composite laminates through combined taguchi- genetic algorithm (TGA) and adaptive neuro fuzzy inference system (ANFIS). The AAJC experiments are con- ducted based on box-behnken design methodology by considering jet pressure, stand-off distance, traverse speed and wt% of nano clay inclusion in composites as input parameters. The ANFIS parameters are optimized using a hybrid taguchi-genetic training algorithm. The statistical results of hybrid TGA-ANFIS models shows that they are outperformed in prediction of AAJC parameters when compared with the results of multiple-linear regression models. Further, the optimization of AAJC parameters is carried out using a trained ANFIS network and the F- race tuned harmony search algorithm (HSA). The superlative responses such as MRR of 76.9 g/min, KT of 2.23◦ and Ra of 3.17 μm are forecasted at the optimum cutting conditions such as jet pressure of 303.08 MPa, stand-off distance of 2.16 mm, traverse speed of 375.64 mm/min, and nano clay wt% of 1.27, respectively. The experi- mental results show that the error between predicted and actual results are lower than 6%, indicating the feasibility of adopting the proposed F-race parametric tuned HSA in optimization of AAJC process
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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