In this paper, an unmanned aerial vehicle (UAV) assisted cooperative communication system is studied, wherein a source transmits information to the destination through an energy harvesting decode-and-forward UAV. It is assumed that the UAV can freely move in between the source-destination pair to set up line of sight communications with the both nodes. Since the battery of the UAV may be limite...

background: lateral ridge split technique is a way to solve the problem of the width in narrow ridges with adequate height. simultaneous insertion of dental implants will considerably reduce the edentulism time. materials and methods: twenty-five patients who were managed with ridge splitting technique were enrolled. thirty-eight locations in both jaws with near equal distribution in quadrants ...

Bonald et al. have studied insensitivity in data networks assuming a fixed route for each flow class. If capacity allocation and routing are balanced and the capacity of a given class is shared equally between the flows, the network state distribution and flow level performance are insensitive to any detailed traffic characteristics except the traffic loads. In this paper, we consider optimal i...

Scalable execution of continuous queries over massive data streams often requires splitting input streams into parallel sub-streams over which query operators are executed in parallel. Automatic stream splitting is in general very difficult, as the optimal parallelization may depend on application semantics. To enable application specific stream splitting, we introduce splitstream functions whe...

The performance of MapReduce greatly depends on its data splitting process which happens before the map phase. This is usually done using naive methods which are not at all optimal. In this paper, an Improved Input Splitting technology based on locality is explained which aims at addressing the input data splitting problems which affects the job performance seriously. Improved Input Splitting c...

Privacy-preserving data splitting is a technique that aims to protect data privacy by storing different fragments of data in different locations. In this work we give a new combinatorial formulation to the data splitting problem. We see the data splitting problem as a purely combinatorial problem, in which we have to split data attributes into different fragments in a way that satisfies certain...

In this paper, we propose a new approach to manage data distribution in a relationnal data warehouse environment. This approach deals with the dynamic data splitting on a set of interconnected machines. The data distribution that we consider is different from the “classical” one which depends on the data use. The distribution in our approach consists in splitting data when the machine reaches h...

Data splitting is an important step in the artificial neural network (ANN) development process whereby data are divided into training, test and validation subsets to ensure good generalization ability of the model. Considering that only one split of data is typically used when developing ANN models, data splitting has a significant impact on the performance of the final model by potentially int...