Location dependent benchmarking with mobility behavior is a necessary step in the evolution of improvements of wireless and computing technology. The components needed for a mobile computing benchmark include specifications for data, queries, mobile unit behavior, and execution guidelines. One of the most unique types of queries present in the mobile computing environment is a Location Dependen...

Benchmarks define techniques which can be followed to determine the effectiveness of a given software or hardware design. Ever since the development of the Wisconsin Benchmark and subsequent transaction-processing (TPC) benchmarks, there has been a concensus and general acceptance of these performance comparison tools. However, these benchmarks are not sufficient to determine the performance of...

• We present a new HCI database, BehavePassDB, with novel data collection approach. exploit the touchscreen and background sensor for mobile authentication. employ Deep Learning approach based on LSTM to benchmark BehavePassDB. evaluate two different impostor scenarios considering real-life use cases. influence of device bias authentication performance. Mobile behavioral biometrics have become ...

Robots require a certain set of skills to perceive and analyse the environment act accordingly. For tracked mobile robots getting good odometry data from sensory information is challenging key prerequisite perform in an unstructured dynamic environment, thus essential issue robotics domain. In this article, we construct ROS-based robot system taking Jaguar V4 as base platform. On which several ...

Depth and wavelength dependence of absorption and scattering coefficients at the South Pole AMANDA site were mapped with pulsed and D.C. light sources. The contribution of air bubbles to scattering decreases with depth and disappears at 1.4 km; at greater depths scattering by dust dominates. Peaks in scattering at several well-defined depths are attributed to peaks in dust concentration and are...

nowadays, it is common to find optimal point of the dynamic problem; dynamic problems whose optimal point changes over time require algorithms which dynamically adapt the search space instability. in the most of them, the exploitation of some information from the past allows to quickly adapt after an environmental change (some optimal points change). this is the idea underlining the use of memo...

A Mobile Ad-Hoc Network is a wireless, selforganizing network where all clients and all servers are mobile and battery powered. Currently, most MANET research has been centered on data routing. Increasingly, data communication methods in MANET are being explored. A MANET allows data communication through data broadcast, data query, and peer-to-peer messages. One significant difficulty in assess...

Artificial fish swarm algorithm (AFSA) is one of the state-of-the-art swarm intelligence algorithms that is widely used for optimization purposes in static environments. However, numerous real-world problems are dynamic and uncertain, which could not be solved using static approaches. The contribution of this paper is twofold. First, a novel AFSA algorithm, so called NAFSA, has been proposed in...

Effective tourist demand forecasting is crucial for company operations and destination management. Furthermore, tourists may plan better personalized multi-attraction itineraries based on to avoid travel peaks improve the enjoyment of their vacation. This study developed a unique deep learning model called convolution block attention module (CBAM) that built convolutional blocks modules estimat...