Within the breed pattern of goat livestock exploited at national level, the most important share is represented by rustic non-improved breeds, which, however having an important variability under ...dimension report, we may state, at the same extent, about productions, especially milk ones. Thus, small productions request crossings, at least infusive ones, with the most performant breeds such as Saanen, whose performances are remarkable in the specialized farms from the origin country. In the present work , the analysis object is constituted by Saanen livestock exploited in Gîrbovi – Ialomiţa, where there were observed the main morpho-productive characteristics of the breed and the performance way, especially milk production, during the whole lactation and its quality, as well as the main body measurements. The main effected somatometric measurements emphasized a conformation, typically dolico-morphic, reflected by the analysed body indexes, on the basis of the average body dimensions such as: live weight 57.375±0.23 Kg, as an average, height at the crupper 67.64±0.38cm, crupper length 69.25±0.41 cm, oblique body length 70.98±0.38 cm, head length 21.35±0.14 cm, head width 14.58±0.18 cm, chest width 18.56±0.15 cm, croup width 20.26±0.14 cm, thoracic perimeter 89.17cm±0.32 cm and cane perimeter 10.52±1.53 cm, resulting a dolico-morph body structure. The total production is as an average of 500.39 litres and the medium milk production during the 212 lactation days of almost 7 months was of about 2.36 L/head/day during the whole lactation and during each month, the average productions were: November 58.05 L, December 70.47 L, January 92.30 L, February 45.10 L, March 86.67 L, April 100.37 L and May 46.42 L. These performances demonstrate a lactation curve with two peaks, representing a certain high milk potential compared to the local breeds, but very much under the performances of this breed in the specialized farms. The milk chemical composition during the latest lactation months were: non-fat dry matter 8.33%, protein 3.27% and fat 3.54%. This case, the high milk potential of the breed may be compared to some non-improved livestock, aspect which shows an exploitation where the feeding and managing conditions are very poor for specialized animals or in the case of the purchased material, it is much more under our expectations.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
In this paper, the application of participation factor focusing on response at seat point for vibration evaluation of motorcycle frame in the early stage of development is described. Using extended ...participation factor called partial participation factor, which is an index showing the importance of vibration of specific parts or specific positions, major vibration modes are efficiently screened, and design change proposals are evaluated. In addition, the effects of these design changes are validated.
Abstract
In recent years, as the rapid growth of the number of electric vehicles, people have more and more requirements on the safety performance of vehicles. However, compared with fuel vehicles, ...the structure of electric vehicles has its own particularity which makes the safety design of body structure more difficult. Thus, improving the passive safety of electric vehicles and protecting the passengers from injury in the collision to the greatest extent have become important issues for the automotive industry. This paper simulates the frontal offset impact simulation analysis of a certain type of SUV, and analyzes the safety performance of the vehicle from the perspective of member protection. The front side member structure and impact energy absorption which affect the passive safety of the whole vehicle are optimized and improved. The finite element model of the whole vehicle is rebuilt, and the frontal offset impact simulation test is carried out to verify the effectiveness of the optimization scheme.
In order to solve the severe challenge brought by the flight of ultra sonic missiles to the structure and thermal protection of missile bodies, and to improve the integrated load/thermal protection ...performance, an individual disturbance multi-strategy salp swarm algorithm for structural optimization design is proposed. Sobol sequence is introduced to homogenize the initial population for maintaining population diversity. The dynamic weight adjustment mechanism is used to improve algorithm speed. The variation factor and reverse solution strategy are fused to improve algorithm accuracy. The optimal Pareto solution can be obtained by using a temporary reserve. Finally, the improved algorithm is used to optimize the missile body structure and thermal protection system. Under the same environment, the optimal adaptive value and average convergence rate of improved algorithm are better than the standard salp swarm algorithm(SSA) and other optimization algorithms. Experimental data shows that the improved algorithm
•A dynamic model of an underwater soft-link manipulator with vortex flows is derived.•Dynamic interaction between the soft-body structure and water flow is described.•A non-smooth piecewise smoother ...is presented to reduce coupled vibrations.•Experimental validation is provided for dynamic model and control method.
While significant work has been directed at dynamics and control of underwater soft-body manipulators, less success has been achieved with interaction between soft structures and fluid flow. The complicated behavior of the interaction may corrupt operational efficiency and safety of underwater manipulators. The equations of the motion of underwater soft-link manipulators are reported in this article. The interaction among the water flow, the lateral vibrations and vortex-induced vibrations of the soft link has been described thoroughly in the analytical model. Furthermore, a novel control method is proposed to suppress coupled vibrations induced by the interaction. Comparing with previous control methods, the proposed method can provide more robustness to variations in the design frequency. Numerous experimental data obtained from a soft-body link implanted in water validated the behavior of the dynamic model and the effectiveness of the vibration-control method. The theoretical findings may also be acceptable for other types of soft-body structures immersed in the fluid.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
In the early stage of vehicle planning phase, multifunctional trade-off studies about layout of frame structures are required. Computer Aided Engineering (CAE) / Machine Learning (ML) technique is ...proposed to conduct multifunctional trade-off study between mass and performances. ML models were created from the database that was constructed from large number of parametric FE analysis. Performance maps that were drawn based on ML result enables visualization of trade-off relations.
•We propose a unified model for recognizing human actions in static images. It explicitly investigates the body structure information as well as integrates the body structure exploration and action ...classification tasks into a unified model. Moreover, we design a twostep learning technique, where keypoint estimation provides intermediate supervision for learning human action representations.•We design two body structure cues, SBPs and LAD, to fully explore the structure information of human bodies from the local and global perspectives.•In order to construct body parts with different scales in unconstrained images, we propose a technique to use human keypoint heatmaps to generate scale adaptive SBPs, which extract fine-grained local human features. Moreover, we propose a technique to automatically determine the most discriminative body part of each action category for identifying the ongoing action. In order to extract global hightlevel body structure features, we propose the LAD to model the spatial angle relationship of pairs of human limbs. The LAD is more robust and achieves better performance compared with the distance based skeleton descriptor.•We evaluate our model on two challenging image-based action datasets, and the results show that our method achieves the state-of-the-art performance.
Although Convolutional Neural Networks (CNNs) have made substantial improvements in many computer vision tasks, there remains room for improvements in image-based action recognition due to the limited capability to exploit the body structure information.In this work, we propose a unified deep model to explicitly explore body structure information and fuse multiple body structure cues for robust action recognition in images.In order to fully explore the body structure information, we design the Body Structure Exploration sub-network.It generates two novel body structure cues, Structural Body Parts and Limb Angle Descriptor, which capture structure information of human bodies from the global and local perspectives respectively. And then, we design the Action Classification sub-network to fuse the predictions from multiple body structure cues to obtain precise results. Moreover, we integrate the two sub-networks into a unified model by sharing the bottom convolutional layers, which improves the computational efficiency in both training and testing stages. We comprehensively evaluate our network on the challenging image-based human action datasets, Pascal VOC 2012 Action and Stanford40. Our approach achieves 93.5% and 93.8% mAP respectively, which outperforms all recent approaches in this field.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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