Accurate battery capacity prediction is important to ensure reliable operation and reduce the cost. However, complex nature of degradation presence regeneration phenomenon render task very challenging. To address this problem, paper proposes a novel efficient algorithm predict trajectory in multi-cell setting. The proposed method new variant Gaussian process regression (GPR) model, it utilizes ...

Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-world applications. A number of methods have been reported in the literature, but due to using the shapes of whole trajectories for classification, they have limited classification capability when discriminative features a...

An important part of extra-tropical stratosphereto-troposphere transport occurs in association with baroclinic wave breaking and cut-off decay at the tropopause. In the last decade many studies have attempted to estimate stratospheretroposphere exchange (STE) in such synoptic events with various methods, and more recently efforts have been made to inter-compare these methods. These inter-compar...

We present a new SAT-based algorithm for Symbolic Trajectory Evaluation (STE), and compare it to more established SAT-based techniques for STE.

Participants tend to falsely remember a nonpresented critical word after having studied a list of the word's primary associates. We present here a Swedish version of the Deese-Roediger-McDermott paradigm, which provides a tractable method of experimentally inducing and investigating such illusory memories. In Experiment 1 it was demonstrated that the constructed stimulus material induced highly...

Despite clear evidence that manifest variable path analysis requires highly reliable measures, path analyses with fallible measures are commonplace even in premier journals. Using fallible measures in path analysis can cause several serious problems: (a) As measurement error pervades a given data set, many path coefficients may be either over- or underestimated. (b) Extensive measurement error ...

When humans navigate a crowed space such as a university campus or the sidewalks of a busy street, they follow common sense rules based on social etiquette. In this paper, we argue that in order to enable the design of new algorithms that can take fully advantage of these rules to better solve tasks such as target tracking or trajectory forecasting, we need to have access to better data in the ...

In this paper, we propose an efficient signature-based indexing scheme for efficiently dealing with the trajectories of current moving objects on road networks. We show that our indexing scheme achieves much better trajectory retrieval performance than the existing trajectory indexing schemes, such as TB-tree, FNR-tree and MON-tree.

In recent years, many emerging database applications deal with large sets of continuously moving data objects. Since no computer system can commit continuously occurring infinitesimal changes to the database, related data management techniques view a moving object’s trajectory as a sequence of discretely reported spatiotemporal points. For each pair of consecutive committed trajectory points, a...

The trajectory planning, which is known as a movement from starting to end point by satisfying the constraints along the path is an essential part of robot motion planning. A common way to create trajectories is to deal with polynomials which have independent coefficients. This paper presents a trajectory formulation as well as a procedure to arrange the suitable trajectories for applications. ...