This paper proposes a universal method for improving the dynamic characteristics of induction motors. The transient processes here fluctuate greatly, which reduces the energy efficiency of the electromechanical conver...
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In creating integrated automated production control systems, there is an open question of simulation fidelity distribution between MES- and APC-systems according to the requirement for speed and decision-making horizo...
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ISBN:
(纸本)9783031734168;9783031734175
In creating integrated automated production control systems, there is an open question of simulation fidelity distribution between MES- and APC-systems according to the requirement for speed and decision-making horizon at each level. Operational planning forms a set of discrete operations organized by time and indicators. The period of the operations includes the transient and steady-state mode of the manufacturing process, but does not affect the values of transient mode indicators. Transient mode is the "noise" for operational production planning. The period of scheduled operations should be determined for petroleum refineries so that the level of the "noise" does not exceed the required production planning accuracy. The paper presents a method of calculating the transient mode parameters and the analysis results for refinery process time series, enabling us to determine the minimum operation period for the required operational production planning accuracy in the MES-system. Presents response time, average control action period and obtained estimates of transient speed on the example unit for each group of real refinery processes.
We present a new dataset for 6-DoF pose estimation of known objects, with a focus on robotic manipulation research. We propose a set of toy grocery objects, whose physical instantiations are readily available for purc...
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ISBN:
(数字)9781665479271
ISBN:
(纸本)9781665479271
We present a new dataset for 6-DoF pose estimation of known objects, with a focus on robotic manipulation research. We propose a set of toy grocery objects, whose physical instantiations are readily available for purchase and are appropriately sized for robotic grasping and manipulation. We provide 3D scanned textured models of these objects, suitable for generating synthetic training data, as well as RGBD images of the objects in challenging, cluttered scenes exhibiting partial occlusion, extreme lighting variations, multiple instances per image, and a large variety of poses. Using semi-automated RGBD-to-model texture correspondences, the images are annotated with ground truth poses accurate within a few millimeters. We also propose a new pose evaluation metric called ADD-H based on the Hungarian assignment algorithm that is robust to symmetries in object geometry without requiring their explicit enumeration. We share pre-trained pose estimators for all the toy grocery objects, along with their baseline performance on both validation and test sets. We offer this dataset to the community to help connect the efforts of computer vision researchers with the needs of roboticists.(1)
The transformation in working styles in recent years due to a rapidly changing world has popularized job application platforms, which has in turn led to a vast amount of data that can be used to guide job seekers to j...
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Human activity prediction has become increasingly prevalent in a plethora of time-critical applications. To realize accurate identification and prediction of human behaviour, we propose a situation-aware wearable comp...
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The design and analysis of security in distributed computing systems raises numerous questions on the tools available for modeling and verification. Particularly, it is difficult to ensure the correctness when using d...
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Accurate wall measurements are essential for esti- mating painting costs, yet traditional methods rely on manual tools such as ladders and tape measures, making the process error-prone and potentially hazardous. This ...
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computermodeling of an open electric arc is an actual task, because it is necessary to consider various cases accompanied by occurrence of arc discharge when creating the digital doubles of a wide range of electrical...
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It is important to detect failure companies in order to protect the financial market and *** study introduces a back propagation (BP) failure detection model to identify failure firms. In terms of solution accuracy, t...
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With the integration of advanced communication and sensor technologies, traditional power grids are shifting to automated smart grids, while exacerbating the risk of cyber-attacks. This paper proposes a spatio-tempora...
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