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	<url>
		<loc>https://www.sv-jme.eu/article/optimization-of-simulation-parameters-for-wet-concrete-particles-based-on-response-surface-methodology-and-pso-bp-ga-method/</loc>
		<lastmod>2026-04-14T11:42:10+00:00</lastmod>
		<changefreq>weekly</changefreq>
		<priority>0.6</priority>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/02/2025_1440_F1-1.png</image:loc>
			<image:caption><![CDATA[Fig. 1. Flowchart of PSO BP GA optimization process]]></image:caption>
		</image:image>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/02/2025_1440_F2-1.png</image:loc>
			<image:caption><![CDATA[Fig. 2. Test device]]></image:caption>
		</image:image>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/02/2025_1440_F3-1.png</image:loc>
			<image:caption><![CDATA[Fig. 3. Process of extracting the contour]]></image:caption>
		</image:image>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/02/2025_1440_F4-1.png</image:loc>
			<image:caption><![CDATA[Fig. 4. JKR contact model]]></image:caption>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/02/2025_1440_F5-1.png</image:loc>
			<image:caption><![CDATA[Fig. 5. Concrete particle shapes and the packing processes: a) flattened, b) conical, c) block like, d) spherical, an e) packing process]]></image:caption>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/02/2025_1440_F6-1.png</image:loc>
			<image:caption><![CDATA[Fig. 6. Influence of interaction factors on repose angle; a) contour plot and response surface of X1 and X2, b) contour plot and response surface of X1 and X3, and c) contour plot and response surface of X2 and X3]]></image:caption>
		</image:image>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/02/2025_1440_F7-1.png</image:loc>
			<image:caption><![CDATA[Fig. 7. Fitting plot of predicted values and expected output values; a) training at R = 0.99176, b) test at R = 0.99495, and c) all at R = 0.99213]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/02/2025_1440_F8-1.png</image:loc>
			<image:caption><![CDATA[Fig. 8. Comparison of predicted values and fitting results of different models; a) predicted values, b)fitting results]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/02/2025_1440_F9-1.png</image:loc>
			<image:caption><![CDATA[Fig. 9. Fitness evolution curve with termination generation at 50]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/02/2025_1440_F10-1.png</image:loc>
			<image:caption><![CDATA[Fig. 10. Comparison of a) actual repose angle, and b) simulated repose angle]]></image:caption>
		</image:image>
	</url>
	<url>
		<loc>https://www.sv-jme.eu/article/end-trajectory-sliding-mode-control-algorithm-design-of-hybrid-polishing-robot-based-on-nonlinear-disturbance-observer/</loc>
		<lastmod>2026-04-14T12:38:56+00:00</lastmod>
		<changefreq>weekly</changefreq>
		<priority>0.6</priority>
	</url>
	<url>
		<loc>https://www.sv-jme.eu/article/friction-compensation-and-external-force-estimation-for-robotic-systems-using-a-fuzzy-neural-network-approach/</loc>
		<lastmod>2026-04-14T14:23:17+00:00</lastmod>
		<changefreq>weekly</changefreq>
		<priority>0.6</priority>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F1_300.png</image:loc>
			<image:caption><![CDATA[Fig. 1. The simplified two link robot model]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F2_300.png</image:loc>
			<image:caption><![CDATA[Fig. 2. Stribeck friction model]]></image:caption>
		</image:image>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F3_500.png</image:loc>
			<image:caption><![CDATA[Fig. 3. Antecedent network]]></image:caption>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F4_400.png</image:loc>
			<image:caption><![CDATA[Fig. 4. Consequent network]]></image:caption>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F5_1200.png</image:loc>
			<image:caption><![CDATA[Fig. 5. Effect of observer gain and torque noise on torque observation results; a) under different observer gains, and b) under varying noise]]></image:caption>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F6_500.png</image:loc>
			<image:caption><![CDATA[Fig. 6. The original signal of the external torque of Joint 1 and Joint 2]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F7_500.png</image:loc>
			<image:caption><![CDATA[Fig. 7. The filtered signal of the external torque of Joint 1 and Joint 2]]></image:caption>
		</image:image>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F8_600.png</image:loc>
			<image:caption><![CDATA[Fig. 8. Experimental validation platform]]></image:caption>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F9_400.png</image:loc>
			<image:caption><![CDATA[Fig. 9. Friction identification experimental setup]]></image:caption>
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		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F10_1200.png</image:loc>
			<image:caption><![CDATA[Fig. 10. Training error curves of; a) ANFIS, b) FNN, c) LS, and d) PSO methods]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F11_1200.png</image:loc>
			<image:caption><![CDATA[Fig. 11. Identification curves for: a) Joint 1, and b) Joint 2]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F12_500.png</image:loc>
			<image:caption><![CDATA[Fig. 12. Five fold cross validation]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F13_500.png</image:loc>
			<image:caption><![CDATA[Fig. 13. Friction compensation experimental device]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F14_1200.png</image:loc>
			<image:caption><![CDATA[Fig. 14. Friction Compensation for: a) Joint 1, and b) Joint 2]]></image:caption>
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		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F15_1200.png</image:loc>
			<image:caption><![CDATA[Fig. 15. External torque measurement of Joint 1: a) with compensation, and b) without compensation]]></image:caption>
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		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F16_1200.png</image:loc>
			<image:caption><![CDATA[Fig. 16. External torque measurement of Joint 2: a) with compensation, and b) without compensation]]></image:caption>
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		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F17_1200.png</image:loc>
			<image:caption><![CDATA[Fig. 17. Observed interaction torque for: a) Joint 1, and b) Joint 2]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F18_1200.png</image:loc>
			<image:caption><![CDATA[Fig. 18. External torque validation of a) Joint 1 and b) Joint 2 force sensor]]></image:caption>
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		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/2025_1489_F19_1200.png</image:loc>
			<image:caption><![CDATA[Fig. 19. Estimation performance of external forces on: a) Joint 1, and b) Joint 2]]></image:caption>
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	</url>
	<url>
		<loc>https://www.sv-jme.eu/article/evaluation-of-measurement-uncertainty-in-creep-based-determination-of-viscoelastic-material-functions-of-polypropylene/</loc>
		<lastmod>2026-04-14T11:58:16+00:00</lastmod>
		<changefreq>weekly</changefreq>
		<priority>0.6</priority>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/Fig1_600.png</image:loc>
			<image:caption><![CDATA[Fig. 1. Measured parameters in a creep test; a) tensile creep test, and b) shear creep test]]></image:caption>
		</image:image>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/Fig2_600.png</image:loc>
			<image:caption><![CDATA[Fig. 2. Specimen preparation; a) injection molded part and cylindrical specimen, and b) heat treatment of the specimen.]]></image:caption>
		</image:image>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/FIG3_300.png</image:loc>
			<image:caption><![CDATA[Fig. 3. Preparation of the creep measurement on the MCR702 rheometer]]></image:caption>
		</image:image>
		<image:image>
			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/Fig4_300.png</image:loc>
			<image:caption><![CDATA[Fig. 4. Creep experiment procedure and parameters]]></image:caption>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/Fig5_700.png</image:loc>
			<image:caption><![CDATA[Fig. 5. Results of the creep test — time dependent quantities; a) ∆L(t) measured in the tensile test, and b) φ t(t) measured in the shear test]]></image:caption>
		</image:image>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/Fig6_400.png</image:loc>
			<image:caption><![CDATA[Fig. 6. Coverage factors for a 95.45 % level of confidence]]></image:caption>
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			<image:loc>https://www.sv-jme.eu/wp-content/uploads/2026/03/Fig7_800.png</image:loc>
			<image:caption><![CDATA[Fig. 7. Measured time dependent material functions and corresponding expanded measurement uncertainties: a) D(t), b) J(t), and c) B(t)]]></image:caption>
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	</url>
</urlset>
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