The potential of attention mechanisms in time series classification (TSC) is limited owing to general drawbacks, like weak local perception and quadratic complexity. To promote the performance mechanisms, we present a flexible multi-head linear (FMLA) architecture, which enhances locality awareness through layer-wise interactions with deformable convolutional blocks online knowledge distillatio...

In deep CNN based models for semantic segmentation, high accuracy relies on rich spatial context (large receptive fields) and fine details (high resolution), both of which incur computational costs. this letter, we propose a novel architecture that addresses challenges achieves state-of-the-art performance segmentation high-resolution images videos in real-time. The proposed our fast attention,...

Distributed systems such as Grid- and Cloud Computing provision web services to their users in all of the world. One of the most important concerns which service providers encounter is to handle total cost of ownership (TCO). The large part of TCO is related to power consumption due to inefficient resource management. Task scheduling module as a key component can has drastic impact on both user...

Users of today’s desktop interface often suffer from interruption overload. Our research seeks to develop an attention manager that mitigates the disruptive effects of interruptions by identifying moments of low mental workload in a user’s task sequence. To develop such a system, however, we need effective mechanisms to identify user tasks in real-time. In this paper, we show how eye gaze patte...

The vision of ubiquitous computing is about numerous devices embedded in our every-day environment, designed to serve humans in a nonobtrusive manner while minimizing the required user attention. These devices are expected to seamlessly monitor context changes and adapt their behavior and functionality to maximize the user benefit. However, designing the selfadaptive logic of such systems is fa...

With the development of Internet technology and social model, game products have become an important product people’s life for entertainment recreation, precise marketing has a winning means enterprises to improve competitiveness reduce labor cost consumption, major companies are also paying more attention data-based model. How dig out effective information from existing market behavior data is...

Presence refers to the emotional state of users where their motivation for thinking and acting arises based on perception entities in a virtual world. The immersion level can vary when they interact with different media content, which may result levels presence especially reality (VR) environment. This study investigates how user characteristics, such as gender, level, valence VR, are related t...