Global mobility is undergoing a dramatic change as cars fuelled by fossil fuels give way to those with zero or extremely low tailpipe emissions. Every one of the parts in big battery packs normally don't have simi...
详细信息
ISBN:
(数字)9798331518578
ISBN:
(纸本)9798331518585
Global mobility is undergoing a dramatic change as cars fuelled by fossil fuels give way to those with zero or extremely low tailpipe emissions. Every one of the parts in big battery packs normally don't have similar properties and may corrupt essentially in view of assembling fluctuation and different elements. The performance and economics of the entire battery pack are impacted by the increased power waste from degraded battery modules. Additionally, the influence changes depending on the trip pattern. A variety of important factors, such as the age of the car, the internal resistance of the lithium-ion battery pack, awareness of grid energy pricing, and the distance driven, affect how much an electric vehicle (EV) costs to drive every day. It has used the grid's energy price data to optimise the cost of the typical driving cycle. Accurately forecasting battery behaviour reliability for the daily driving cycle is the aim of this project. The driver will be able to determine the best charging schedules, driving energy consumption, and excess battery energy with the aid of the reliability battery behaviour forecast. The driver can reduce the cost of travel both daily and over the battery's lifespan by having a previous understanding of the battery's behaviour, the grid's energy pricing, and the trip's duration.
The electrodynamics of wave reflection from conducting media lead to difficult mathematical problems because of the matching conditions which must be met at the interface between conductors and nonconductors. Simplifi...
详细信息
The electrodynamics of wave reflection from conducting media lead to difficult mathematical problems because of the matching conditions which must be met at the interface between conductors and nonconductors. Simplified boundary conditions have been proposed by Leontovitch and others which considerably simplify certain of the mathematical problems. We discuss the Leontovitch condition together with certain of its shortcomings and present a new method which overcomes some of the difficulties of the Leontovitch condition. The new method is a perturbation away from infinite conductivity which allows the solution of electrodynamics problems to be calculated to any order of accuracy in the quantity (ωε/σ)1/2 for some important cases. An instance in which the perturbation method fails is also discussed.
Any lattice-ordered group (l-group for short) is essentially extended by its lexicographic product with a totally ordered group. That is, an l-homomorphism (i.e., a group and lattice homomorphism) on the extension whi...
详细信息
Any lattice-ordered group (l-group for short) is essentially extended by its lexicographic product with a totally ordered group. That is, an l-homomorphism (i.e., a group and lattice homomorphism) on the extension which is injective on the l-group must be injective on the extension as well. Thus no l-group has a maximal essential extension in the category IGp of l-groups with l-homomorphisms. However, an l-group is a distributive lattice, and so has a maximal essential extension in the category D of distributive lattices with lattice homomorphisms. A distinguished extension of one l-group by another is one which is essential in D. We characterize such extensions, and show that every l-group G has a maximal distinguished extension E(G) which is unique up to an l-isomorphism over G. E(G) contains most other known completions in which G is order dense, and has most l-group completeness properties as a result. Finally, we show that if G is projectable then E(G) is the alpha-completion of the projectable hull of G.
The paper considers representations of bipartite graphs as rectangle-visibility graphs, i.e., graphs whose vertices are rectangles in the plane, with adjacency determined by horizontal and vertical visibility. It is s...
The paper considers representations of bipartite graphs as rectangle-visibility graphs, i.e., graphs whose vertices are rectangles in the plane, with adjacency determined by horizontal and vertical visibility. It is shown that, for p [less-than or equal to] q, Kp,q has a representation with no rectangles having collinear sides if and only if p [less-than or equal to] 2 or p = 3 and q [less-than or equal to] 4. More generally, it is shown that Kp,q is a rectangle-visibility graph if and only if p [less-than or equal to] 4. Finally, it is shown that every bipartite rectangle-visibility graph on n greater than or equal 4 vertices has at most 4n - 12 edges.
Abstract In this paper,the almost periodic nonautonomous diffusive food chain system of three species is *** using the comparison theorem and V function method,the author proves the existence and uniqueness of a p...
详细信息
Abstract In this paper,the almost periodic nonautonomous diffusive food chain system of three species is *** using the comparison theorem and V function method,the author proves the existence and uniqueness of a positive almost periodic solution,and its stability under disturbances from the hull.
The aim of the paper is to introduce the notion of a transformation unit together with its interleaving semantics and to study it as a means of constructing large graph transformation systems from small ones in a stru...
详细信息
The aim of the paper is to introduce the notion of a transformation unit together with its interleaving semantics and to study it as a means of constructing large graph transformation systems from small ones in a structured and systematic way. A transformation unit comprises a set of rules, descriptions of initial and terminal graphs, and a control condition. Moreover, it may import other transformation units for structuring purposes. Its semantics is a binary relation between initial and terminal graphs which is given by interleaving sequences. As a generalization of ordinary derivations, an interleaving sequence consists of direct derivation steps interleaved with calls of imported transformation units. It must obey the control condition and may be seen as a kind of structured derivation. The introduced framework is independent of a particular graph transformation approach and, therefore, it may enhance the usefulness of graph transformations in many contexts.
We give cryptographic schemes that help trace the source of leaks when sensitive or proprietary data is made available to a large set of parties. This is particularly important for broadcast and database access system...
详细信息
We consider the ability of deep neural networks to represent data that lies near a low-dimensional manifold in a high-dimensional space. We show that deep networks can efficiently extract the intrinsic, low-dimensiona...
详细信息
*** is an innovative web-based game that takes creativity, guessing, and artificial intelligence and puts them together in a great combination. It is both an entertaining and educational game, enabling players to enha...
详细信息
*** is an innovative web-based game that takes creativity, guessing, and artificial intelligence and puts them together in a great combination. It is both an entertaining and educational game, enabling players to enhance their creativity and guessing skills while exploring AI capabilities interactively. The participants draw random words as they compete with an artificial intelligence model, which predicts drawings in real time. The AI component not only adds challenge and thrill but also demonstrates the capability of machine learning in interactive gaming. To create a highly precise doodle recognizer, a Long-term Recurrent Convolutional Network (LRCN) was employed, and it proved to be much better than the typical Convolutional Neural Networks (CNNs). The LRCN model achieved 90% accuracy in the top-1 score and 97% in the top-3 score, which is a measure of its high level of prediction. Relative to CNNs, which were overfitting (training loss: 36%, validation loss: 53%), LRCN demonstrated a substantial learning curve, stabilizing at a final loss of 39%, thereby offering better resilience. Furthermore, LRCN outperformed CNN, and therefore particularly has been found useful in dynamic gaming conditions. *** is more than just for fun, providing interesting commentary on the domain of AI-based sketch recognition and the viability of deep learning algorithms in real time. The wide variety of categories and questions in the game makes it an enjoyable experience, as users are challenged to sharpen their creativity and intellectual skills while engaging with advanced AI technologies.
暂无评论