As the end-users increasingly can provide flexibility to the power system, it is important to consider how this flexibility can be activated as a resource for the grid. Electricity network tariffs is one option that c...
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As the end-users increasingly can provide flexibility to the power system, it is important to consider how this flexibility can be activated as a resource for the grid. Electricity network tariffs is one option that can be used to activate this flexibility. Therefore, by designing efficient grid tariffs, it might be possible to reduce the total costs in the power system by incentivizing a change in consumption patterns. This paper provides a methodology for optimal grid tariff design under decentralized decision-making and uncertainty in demand, power prices, and renewable generation. A bilevel model is formulated to adequately describe the interaction between the end-users and a distribution system operator. In addition, a centralized decision-making model is provided for benchmarking purposes. The bilevel model is reformulated as a mixed-integer linear problem solvable by branch-and-cut techniques. Results based on both deterministic and stochastic settings are presented and discussed. The findings suggest how electricity grid tariffs should be designed to provide an efficient price signal for reducing aggregate network peaks.
Circulating tumor cells (CTCs) hold great promise for cancer diagnosis and prognosis,especially for early-stage cancer *** the significant progress in development of cell capture techniques, the capture efficiency is ...
Circulating tumor cells (CTCs) hold great promise for cancer diagnosis and prognosis,especially for early-stage cancer *** the significant progress in development of cell capture techniques, the capture efficiency is still limited and often accompanied with drawbacks such as low throughput, low selectivity, and cell viability issues.
A method for robot program synthesis is developed. The conceptual graph-based approach is proposed for the development of a robot programming support system. The system provides a means toward automated conversion of ...
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A method for robot program synthesis is developed. The conceptual graph-based approach is proposed for the development of a robot programming support system. The system provides a means toward automated conversion of a user's request expressed in natural language to the appropriate conceptual model of the required task. This approximate model of the dynamically changing real world of robotic assembly incorporates the information necessary for understanding, planning, and sensory-guided performance of the required robotic task. The overall framework of the system is defined, and the authors present the first phase of an assembly program synthesis: request specification, planning of valid assembly sequences, and required resources determination. A case study illustrates the approach on a large family of multi-axisymmetric components.< >
There are various mechanisms for seismic surveying of the Earth, the excited oscillations or pulses. Design engineers constantly search for methods to create the lowest weight mechanim, which could be used in as many ...
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ISBN:
(纸本)9781467381154
There are various mechanisms for seismic surveying of the Earth, the excited oscillations or pulses. Design engineers constantly search for methods to create the lowest weight mechanim, which could be used in as many geographical zones as possible including areas difficult to travel through for heavy vehicles. The article reviews the systems of clamping the base plate to the ground.
Achieving precise trajectory tracking while minimizing errors, reducing settling time, and curbing overshoot presents a significant challenge in the domain of robot-manipulator control. In response, this paper propose...
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Biomechanics plays an integral role in cancer development and progression. Accurately quantifying the mechanical properties of cells would enable a more comprehensive understanding of cancer, complementing conventiona...
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Hydrodynamically developing and fully-developed laminar flows in a semicircular duct are numerically and analytically investigated, respectively. As part of the analytical approach, a scaling analysis is used to devel...
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ISBN:
(纸本)9781632668509
Hydrodynamically developing and fully-developed laminar flows in a semicircular duct are numerically and analytically investigated, respectively. As part of the analytical approach, a scaling analysis is used to develop order-of-magnitude estimates for friction factor-Reynolds number product for developing and fully-developed laminar flows in a semicircular duct. Dimensionless axial velocity distribution is determined and presented in terms of the dimensionless pressure drop constant for hydrodynamically fully-developed laminar flow. Fullydeveloped laminar frictional characteristics for flow through a semicircular duct are then deduced from the dimensionless axial velocity distribution, from which the location of maximum axial velocity and the ratio of maximum axial velocity to the mean axial velocity. In addition, hydrodynamically developing laminar flow in a semicircular duct is numerically analyzed. Various developing flow region parameters, such as apparent Fanning friction factor and incremental pressure drop number, for flow in a semicircular duct are determined from the numerical analysis. Furthermore, the fully-developed flow results obtained from the numerical analysis are compared with the analytical solution and good agreement is observed between them.
We propose a visual servoing framework for learning to improve grasps of objects. RGB and depth images from grasp attempts are collected using an automated data collection process. The data is then used to train a Gra...
We propose a visual servoing framework for learning to improve grasps of objects. RGB and depth images from grasp attempts are collected using an automated data collection process. The data is then used to train a Grasp Quality Network (GQN) that predicts the outcome of grasps from visual information. A grasp optimization pipeline uses homography models with the trained network to optimize the grasp success rate. We evaluate and compare several algorithms for adjusting the current gripper pose based on the current observation from a gripper-mounted camera to perform visual servoing. Evaluations in both simulated and hardware environments show considerable improvement in grasp robustness with models trained using less than 30K grasp trials. Success rates for grasping novel objects unseen during training increased from 18.5% to 81.0% in simulation, and from 17.8% to 78.0% in the real world.
Image processing algorithms capable of extracting two-phase flow quantities automatically from high-speed images have been under continuous development over the past few decades. In a typical imaging setup, a single h...
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