In this paper a 2D Leap Frog Algorithm is applied to solve the so-called noisy Photometric Stereo problem. In 3-source Photometric Stereo (noiseless or noisy) an ideal unknown Lambertian surface is illuminated from distant light-source directions (their directions are assumed to be linearly independent). The subsequent goal, given three images is to reconstruct the illuminated object’s shape. U...

We describe an eecient fair queuing scheme, Leap Forward Virtual Clock, that provides end-to-end delay bounds almost identical to that of PGPS fair queuing, along with throughput fairness. Our scheme can be implemented with a worst-case time O(log logN) per packet (inclusive of sorting costs), which improves upon all previously known schemes that achieve guaranteed delay and throughput fairness...

Nodes are easily exposed from generated attacks on various layers because they compose simple functions in sensor networks. The false data injection attack drains finite energy resource in a compromised node, and the false HELLO flood attack threatens constructed routing paths in an adversary node. A localized encryption and authentication protocol (LEAP) was developed to prevent the aforementi...

We present the Predictive Legend Exchange and Augmentation Protocol (P-LEAP), a predictive location service. PLEAP improves upon the LEAP location service, which has been shown to reduce location error in mobile networks, by incorporating a method of predicting the topology of the network. P-LEAP is designed to create and transmit a data structure that traverses an ad hoc network. The data stru...

The Leap Motion Controller is a new device for hand gesture controlled user interfaces with declared sub-millimeter accuracy. However, up to this point its capabilities in real environments have not been analyzed. Therefore, this paper presents a first study of a Leap Motion Controller. The main focus of attention is on the evaluation of the accuracy and repeatability. For an appropriate evalua...

The Lower Extremity Assessment Project (LEAP) is a multicenter study of severe lower extremity trauma in the US civilian population. At 2- and 7-year follow-ups, the LEAP study found no difference in functional outcome between patients who underwent either limb salvage surgery or amputation. However, outcomes on average were poor for both groups. This study and others provide evidence of wide-r...

This paper presents a Fitts' law-based analysis of the user's performance in selection tasks with the Leap Motion Controller compared with a standard mouse device. The Leap Motion Controller (LMC) is a new contact-free input system for gesture-based human-computer interaction with declared sub-millimeter accuracy. Up to this point, there has hardly been any systematic evaluation of this new sys...

The forgotten topological index of a molecular graph $G$ is defined as $F(G)=sum_{vin V(G)}d^{3}(v)$, where $d(u)$ denotes the degree of vertex $u$ in $G$. The first through the sixth smallest forgotten indices among all trees, the first through the third smallest forgotten indices among all connected graph with cyclomatic number $gamma=1,2$, the first through<br /...

While widely used in industry, recurrent neural networks (RNNs) are known to have deficiencies dealing with long sequences (e.g. slow inference, vanishing gradients etc.). Recent research has attempted accelerate RNN models by developing mechanisms skip irrelevant words input. Due the lack of labelled data, it remains as a challenge decide which skip, especially for low-resource classification ...

In this paper, we present an approach to improve the efficiency of stochastic simulation for large and dense networks. We are using stochastic Petri nets as modelling framework. The underlying continuoustime Markov chain (CTMC) is converted to an equivalent discrete-time Markov chain (DTMC), this itself gains no efficiency. We improve the efficiency via discrete-time leaps, even though this res...