73 research outputs found
ChemInform Abstract: α-Hydroxy Ketones in High Enantiomeric Purity from Asymmetric Dihydroxylation of Enol Ethers.
No full textChemInform Abstract: REACTION OF 3‐PHENYLGLYCIDIC ESTERS. PART 2. STEREO‐ AND REGIOSELECTIVITY IN THE OXIRANE RING OPENING OF METHYL TRANS‐3‐(4‐METHOXYPHENYL)GLYCIDATE WITH VARIOUS THIOPHENOLS AND THE EFFECTS OF SOLVENT AND TEMPERATURE
No full textClinical studies on adrenal cortical functions in patients with gastric and duodenal ulcers (II) Urinary steroids, especially 17—KS fractions in patients with gastric ulcer and chronic gastritis
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Clinical studies on adrenal cortical function in patients with gastric & duodenal ulcer (I) urinary total 17-OHCS, 17 KS & 17-KS fractions in patients with gastric ulcer
No full textHybrid Genetic Algorithms And Clustering
No full textThis paper introduces a hybrid genetic algorithm that uses fuzzy c-means clustering technique as a mechanism to reduce fitness evaluations and to preserve solution quality. Population clustering provides a means to evaluate only the representative individual of each cluster instead of the whole population. The remaining individuals are indirectly evaluated. The aim is to maintain reasonable population size and to obtain near-optimal solutions. This is an important issue especially in large-scale, complex optimization and decision-making problems.10091014Bezdek, J.C., (1987) Pattern Recognition with Fuzzy Objective Function Algorithms, , Plenum PressGoldberg, D.E., (1989) Genetic Algorithms in Search, Optimization and Machine Learning, , Addison-Wesley Publishing Co.IncHanaki, Y., Hashiyama, T., Okuma, S., Accelerated evolutionary computation using fitness estimation (1999) IEEE Trans. SMC, 1, pp. 643-648Kado, K., Ross, P., Corne, D., A study of genetic algorithm hybrids for facility layout problems (1995) Proc. of ICGA, pp. 498-505Kim, H., Cho, S., An efficient genetic algorithm with less fitness evaluation by clustering (2001) IEEE Publication 0-7803-6657-3Mota Filho, F., Gonçalves, R., Gomide, F., Genetic algorithms, fuzzy clustering and discrete event systems: An application in scheduling (2005) Proc. of 1st Workshop on Genetic Fuzzy Systems, pp. 83-88. , Granada, SpainSalami, M., Hendtlass, T., A fitness estimation strategy for genetic algorithms (2002) Lecture Notes in Computer Science, 2358, pp. 502-513Unemi, T., A design of multi-field user interface for simulated breeding (1998) Proc. of the 3rd AFSS, pp. 489-49
VHDL-AMS based genetic optimisation of fuzzy logic controllers
No full textPurpose – This paper presents a VHDL-AMS based genetic optimisation methodology for fuzzy logic controllers (FLCs) used in complex automotive systems and modelled in mixed physical domains. A case study applying this novel method to an active suspension system has been investigated to obtain a new type of fuzzy logic membership function with irregular shapes optimised for best performance. Design/methodology/approach – The geometrical shapes of the fuzzy logic membership functions are irregular and optimised using a genetic algorithm (GA). In this optimisation technique, VHDL-AMS is used not only for the modelling and simulation of the FLC and its underlying active suspension system but also for the implementation of a parallel GA directly in the system testbench. Findings – Simulation results show that the proposed FLC has superior performance in all test cases to that of existing FLCs that use regular-shape, triangular or trapezoidal membership functions. Research limitations – The test of the FLC has only been done in the simulation stage, no physical prototype has been made. Originality/value – This paper proposes a novel way of improving the FLC’s performance and a new application area for VHDL-AMS
Simple augmented reality system for 3D ultrasonic image by see-through HMD and single camera and marker combination
No full textClinical studies on adrenal cortical function in patients with gastric or duodenal ulcer (III) on urinary 17-KS fractions in patients with incurable ulcer and multiple ulcer
No full textChemInform Abstract: Synthesis and Biological Activity of O-Alkyl-3-N-aminoacyloxymethyl-5- fluoro-2′deoxyuridine Derivatives.
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