We study the problem of maintaining the distances and the shortest paths from a source node in a directed graph with arbitrary arc weights, when weight updates of arcs are performed. We propose algorithms that work for any digraph and have optimal space requirements and query time. If a negative{length cycle is introduced during weight-decrease operations it is detected by the algorithms. The p...

In the verification under uncertainty setting, an algorithm is given, for each input item, an uncertainty area that is guaranteed to contain the exact input value, as well as an assumed input value. An update of an input item reveals its exact value. If the exact value is equal to the assumed value, we say that the update verifies the assumed value. We consider verification under uncertainty fo...

The concept of weakly associative lattices (i.e. relational systems with a reflexive and antisymmetric relation ≤, in which for each pair of elements there exist a least upper and a greatest lower bound) was introduced in [3] and [5]. In [4] WU-systems are defined, i.e. weakly associative lattices with the unique bound property, and their equivalence with projective planes is described. In this...

a Institute for SME Management and Entrepreneurship, WU Vienna University of Economics and Business, Welthandelsplatz 1, 1020 Vienna, Austria b Aalto University School of Business, P.O. Box 21230, 00076 Aalto, Finland c Institute for Innovation, Johannes Kepler University Linz, Altenbergerstrasse 69, 4040 Linz, Austria d University of Jyväskylä School of Business and Economics, P.O. Box 35, 400...

Broiler trials, using feeds with varying WE-AX and WU-AX levels (wheat and/or corn based) showed that the AME-uplift obtained by Nutrase Xyla is correlated with the level and type of AX. AX-dependant enzyme energy factors were calculated and put in the prediction model : AMENX (kcal/kg) = AME + 100*WE-AX (%) + 25*WU-AX (%) To validate the model, diets with very low and high AX levels were made,...

Saccades are imprecise, due to sensory and motor noise. To avoid an accumulation of errors during sequences of saccades, a prediction derived from the efference copy can be combined with the reafferent visual feedback to adjust the following eye movement. By varying the information quantity of the visual feedback, we investigated how the reliability of the visual information affects the postsac...

In this paper, an improved VGG16 combined with depthwise group over-parameterized convolution (DGOVGG16) model is proposed to realize automatic furniture image classification. Firstly, construct convolution, which introduced the VGG 16 for reducing number of parameters overall while extracting more sufficient semantic features images. Then, paper uses ReLU activation function in former part neu...

Abstract Target tracking provides important location-based services in many applications. The main challenge of target is to combat the severe degradation problem Non-Line-of-Sight (NLOS) scenario. Most Deep Learning algorithms available literature address this issue belong batch learning with high complexity. This paper proposes a novel online sequential algorithm, Improved Recurrent Extreme M...