Publications
-
Dual Color-Image Discriminators Adversarial Networks for Generating Artificial-SAR Colorized Images from SENTINEL-1 Images
In this paper, we introduce a new generative adversarial network (GAN) with dual image-color discriminators, to predict Artificial-SAR colorized images from SAR ones (Sentinel-1). Based on the conventional architecture of GANs, we employ an additional color discriminator that evaluates the differences in brightness, contrast, and major colors between images, while the image discriminator compares texture […]
-
The direct and indirect risk impacts on remittances: A cross‐regional specific effects
The main purpose of this paper is to study determinants of workers’ remittances especially the impact of country risk based on a regional comparison of 121 countries subdivided into six areas over the period 1984–2015. We consider possible direct and indirect effects of different risk indexes. We particularly focus on the comparison of the regional […]
-
Modeling Attack-Defense Trees’ Countermeasures using Continuous Time Markov Chains
ADTrees (Attack-Defense Trees) are graphical security mod- eling tools used to logically represent attack scenarios along with their corresponding countermeasures in a user-friendly way. Many researchers nowadays use ADTrees to represent attack scenarios and perform quan- titative as well as qualitative security assessment. Among all di erent existing quantitative security assessment techniques, CTMCs (Continu- ous […]
-
InHARD – Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics
Nowadays, humans and robots are working more closely together. This increases business productivity and product quality, leading to efficiency and growth. However, human and robot collaboration is rather static; robots move to a specific position then humans perform their tasks while being assisted by the robots. In order to get a dynamic collaboration, robots need […]
-
Multi-component modeling and classification for failure propagation of an offshore wind turbine
Purpose Improving reliability is a key factor in reducing the cost of wind energy, which is strongly influenced by the cost of maintenance operations. In this context, this paper aims to propose a degradation model that describes the phenomenon of fault propagation to apply proactive maintenance that will act on the cause of failure to […]
-
A model-free reinforcement learning approach for the energetic control of a building with non-stationary user behaviour
We consider a system providing a service to a user (smart building, vehicle…) and allowing the user to interact with it. The service provided to the user regulates physical signals of the user’s surroundings (lighting, heating, radio sound,…). The user can interfere with the system to affect the values of those signals to adjust the […]
-
A New Dataset of People Flow in an Industrial Site with UWB and Motion Capture Systems
Improving performance and safety conditions in industrial sites remains a key objective for most companies. Currently, the main goal is to be able to dynamically locate both people and goods on the site. Security and access regulation to restricted areas are often ensured by doors or badge barriers and those have several issues when faced […]
-
Mixed-integer linear programming models for the simultaneous unloading and loading processes in a maritime port
This paper discusses the jointly quay crane and yard truck scheduling problems (QCYTSP) with unloading and loading containers from/to vessel(s) in the same time. Yard trucks transport the containers to/from yard locations with all containers that are homogeneous.We propose a mixed integer linear programming model to solve the scheduling problem. We consider in this study, […]
-
User behaviour-based approach to define mobility devices needs of disabled person in Algeria: a questionnaire study
Purpose: This article showcases the adaptability of existing mobility devices for the Algerian disabled population. It aims to develop a behavior model of disabled Algerian persons through (1) development of a theoretical model based on literature review and (2) improvement of this model by using local collected data from our developed questionnaire. Methods: The majority […]
-
Towards the specification of an integrated measurement model for evaluating VR cybersickness in real time
Cybersickness (CS) is an affliction that limits the use of virtual reality (VR) applications. For decades, the measurement of cybersickness has presented one of the most challenges that have aroused the interest of VR research community. Having strong effects on users’ health, cybersickness causes several symptoms relating to different factors. In most cases, the literature […]
-
Alarm Correlation to improve industrial fault management
Actual alarm systems used in manufacturing applications lacks explanation and indication of the root causes, which results in a poor decision making. In addition, manufacturing systems are more and more complex, so relaying on human operators for alarm information management becomes impossible. For this, a computerized tool to support human operators (i.E., decision support for […]
-
Towards AR/VR maturity model adapted to the Build-ing Information Modeling
The challenge of improving the efficiency of the different phases of a building or infrastructure life demands considerations of innovative technologies such as Augmented Reality (AR) and Virtual Reality (VR). During this last decade, AR/VR systems for construction started to be emerged. These applications aim to virtualize or augment in real time the content of […]
Loading…
Erreur : tout le contenu a été chargé.