A5001314520- Cloud Computing and Remote Desktop Technologies
- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Multimedia Communication and Technology
- Reinforcement Learning in Robotics
- Advanced Neural Network Applications
- Evolutionary Game Theory and Cooperation
- Context-Aware Activity Recognition Systems
- Image and Video Quality Assessment
- Peer-to-Peer Network Technologies
- Neural Networks and Applications
- Personal Information Management and User Behavior
- Modular Robots and Swarm Intelligence
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Robot Manipulation and Learning
- Diffusion and Search Dynamics
- Cutaneous Melanoma Detection and Management
- Video Surveillance and Tracking Methods
- AI-based Problem Solving and Planning
- Mobile Agent-Based Network Management
- Service-Oriented Architecture and Web Services
- Data Stream Mining Techniques
Ghent University
2016-2025
Ghent University Hospital
2013-2020
Imec the Netherlands
2017
iMinds
2013-2017
University College Ghent
2011-2014
Carnegie Mellon University
2013
Lancaster University
2013
Microsoft Research (United Kingdom)
2013
University of Duisburg-Essen
2013
GTx (United States)
2005
High-data-rate sensors, such as video cameras, are becoming ubiquitous in the Internet of Things. This article describes GigaSight, an Internet-scale repository crowd-sourced content, with strong enforcement privacy preferences and access controls. The GigaSight architecture is a federated system VM-based cloudlets that perform analytics at edge Internet, thus reducing demand for ingress bandwidth into cloud. Denaturing, which owner-specific reduction fidelity content to preserve privacy,...
Although mobile devices are gaining more and capabilities (i.e. CPU power, memory, connectivity, ...), they still fall short to execute complex rich media data analysis applications. Offloading the cloud is not always a solution, because of high WAN latencies, especially for applications with real-time constraints such as augmented reality. Therefore has be moved closer user in form cloudlets. Instead moving complete virtual machine from cloudlet, we propose fine grained cloudlet concept...
The Internet of Robotic Things is an emerging vision that brings together pervasive sensors and objects with robotic autonomous systems. This survey examines how the merger technologies will advance abilities both current systems, thus enabling creation new, potentially disruptive services. We discuss some new technological challenges created by this conclude a truly holistic view needed but currently lacking.
We propose a scalable Internet system for continuous collection of crowd-sourced video from devices such as Google Glass. Our hybrid cloud architecture, GigaSight, is effectively Content Delivery Network (CDN) in reverse. It achieves scalability by decentralizing the infrastructure using cloudlets based on virtual machines~(VMs). Based time, location, and content, privacy sensitive information automatically removed video. This process, which we refer to denaturing, executed user-specific VM...
Contemporary industrial systems are challenged by fast-growing requirements for agile and effective reactivity to rapidly changing market demands. To achieve this set of requirements, new technologies paradigms like Internet-of-Things (IoT), Big Data Analytics, Internet-of-Services (IoS), service-oriented architecture (SOA) being introduced into the environments. These advances result in confluence two dissimilar, but complementary domains: physical operational (OT) cyber information (IT)...
Mobile crowdsensing is becoming a vital technique for environment monitoring, infrastructure management, and social computing. However, deploying mobile applications in large-scale environments not trivial task. It creates tremendous burden on application developers as well users. In this paper we try to reveal the barriers hampering scale-up of applications, offer our initial thoughts potential solutions lowering barriers.
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets information technology (IT) systems are used in data-driven analytics efforts support informed business intelligence decisions. However, these results currently only isolated dispersed parts production process. At same time, full integration artificial (AI) all is lacking. In this context, goal manuscript present a...
The importance of whole-genome duplication (WGD) for evolution is controversial. Whereas some view WGD mainly as detrimental and an evolutionary dead end, there growing evidence that polyploidization can help overcome environmental change, stressful conditions, or periods extinction. However, despite much research, the mechanistic underpinnings why how polyploids might be able to outcompete outlive nonpolyploids at times upheaval remain elusive, especially autopolyploids, in which heterosis...
Unmanned Aerial Vehicles (UAVs) combined with Hyperspectral imaging (HSI) offer potential for environmental and agricultural applications by capturing detailed spectral information that enables the prediction of invisible features like biochemical leaf properties. However, data-intensive nature HSI poses challenges remote devices, which have limited computational resources storage. This paper introduces an Online Simple Linear Iterative Clustering algorithm (OHSLIC) framework real-time tree...
Proposed optimization techniques address the major challenges that varying wireless channel conditions, short battery lifetime, and interaction latency pose for remote display of cloud applications on mobile devices.
Cyber foraging has already proven to be successful for enabling resource-intensive applications on mobile devices. Offloading applications, or parts thereof, nearby infrastructure--also denoted as cloudlets--can lower execution time and save energy. However, in view of immersive two challenges still remain. First, due the real-time constraints optimizing generic metrics such energy isn't sufficient. The authors thus propose a component-based cyber framework that optimizes...
Smart cities deploy various sensors such as microphones and RGB cameras to collect data improve the safety comfort of citizens. As annotation is expensive, self-supervised methods contrastive learning are used learn audio-visual representations for downstream tasks. Focusing on surveillance data, we investigate two common limitations learning: false negatives minimal sufficient information bottleneck. Irregular, yet frequently recurring events can lead a considerable number false-negative...
Despite the growing popularity and advantages of thin-client systems, they still have some important shortcomings. Current systems are ideally suited to be used with classic office-applications but as soon multimedia 3D gaming applications require a large amount bandwidth processing power. Furthermore, most these heavily rely on Graphical Processing Unit (GPU). Due architectural design cannot profit from GPU resulting in slow performance bad image quality. In this paper, we propose system...
Automated anomaly detection in surveillance videos has attracted much interest as it provides a scalable alternative to manual monitoring. Most existing approaches achieve good performance on clean benchmark datasets recorded well-controlled environments. However, detecting anomalies is more challenging the real world. Adverse weather conditions like rain or changing brightness levels cause significant shift input data distribution, which turn can lead detector model incorrectly reporting...
In a thin client computing architecture, application processing is delegated to remote server rather than running the locally. User input forwarded server, and rendered images are relayed through dedicated display protocol user's device. Existing protocols have been successfully optimized for applications with only minor low-frequent screen updates, such as spreadsheet or text editor. However, they not designed cope fine-grained complex color patterns of multimedia applications, leading high...