Pierre Manneback

Pierre Manneback
Université de Mons · Department of Computer Science

Dr Sc Math

About

113
Publications
28,291
Reads
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1,118
Citations
Additional affiliations
January 1990 - present
Université de Mons
Education
October 1985
University of Namur
Field of study
  • Mathematics

Publications

Publications (113)
Article
Full-text available
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To help build software that uses full-system capabilities, performance measurement and analysis tools exploit extensive execution analysis focusing on single-run results. Despite being effective in identifying performance hotspots and bottlenecks, these...
Article
Full-text available
Energy consumption is crucial in high-performance computing (HPC), especially to enable the next exascale generation. Hence, modern systems implement various hardware and software features for power management. Nonetheless, due to numerous different implementations, we can always push the limits of software to achieve the most efficient use of our...
Article
Full-text available
The Agriculture 4.0 also called Smart Agriculture or Smart Farming is at the origin of the production of a huge amount of data that must be collected, stored and processed in very short times. Processing this massive quantity of data needs to use specific infrastructure that use adapted IoT architectures. Our review offers a comparative panorama of...
Article
Introduction. In the field of research, we are familiar to employ ready-to-use commercial solutions. This bibliographic review highlights the various technological paths that can be used in the context of agriculture digitalization and illuminates the reader on the capacities and limits of each one. Literature. Based on a literature review that we...
Chapter
Fast and efficient collaboration among researchers is a crucial task to advance effectively in Covid-19 research. In this chapter, we present a new collaborative platform allowing to exchange and share both medical benchmark datasets and developed applications rapidly and securely between research teams. This platform aims to facilitate and encoura...
Conference Paper
Full-text available
Phytotron also called growth chambers are research installations where environmental parameters such as temperature , humidity, irrigation, conductivity, lighting, and CO2 are finely controlled. This kind installation allows on one hand to measure the impact environment modification and on the other hand optimize the natural grow of plants. With th...
Conference Paper
Full-text available
With the advent of the digital age and more specifically videos, a huge amount of data is produced every day such as television archiving, video surveillance, etc. Faced with the need to keep control over this content, to be able to analyze it, classify it and many other applications, the need for algorithms capable of performing this task efficien...
Article
Full-text available
Landslides are phenomena that cause significant human and economic losses. Researchers have investigated the prediction of high landslides susceptibility with various methodologies based upon statistical and mathematical models, in addition to artificial intelligence tools. These methodologies allow to determine the areas that could present a serio...
Conference Paper
Full-text available
Smartphones, particularly iPhone, can be relevant instruments for researchers because they are widely used around the world in multiple domains of applications such as animal behavior. iPhone are readily available on the market, contain many sensors and require no hardware development. They are equipped with high performance inertial measurement un...
Article
Full-text available
The sharing of experimental dataset and benchmark between research teams is particularly import for the cross validation of models and algorithms developed. In practice the sharing of data is difficult because certain legislations must be respected protecting privacy, copyrights, etc. In this paper, we propose a scientific collaborative platform to...
Article
Full-text available
In a growing population context with less resources of soil and water, the irrigated agriculture allows us to increase the yield and the production of several crops in order to meet the high requirements of demands of food and fibers. Efficiently, an irrigation system should correctly evaluate the amount of water and also the timing, when apply cer...
Article
Full-text available
Landslides are phenomena widely present around the world and responsible each year of numerous life loss and extensive property damage. Researchers have developed various methodologies to identify area of high susceptibility of landslides. However, these methodologies cannot predict 'when' landslides are going to take place. Indeed, Wireless Sensor...
Conference Paper
Full-text available
Smart Campus can be assimilated to small smart cities in which learning experience and living conditions are improved by smart environment and IoT concepts. In this paper, we present (R)evoCampus our Smart Campus solution based diverted smart Home interoperable protocol platforms, micro controllers ESP32, low-cost sensors. This architecture uses at...
Conference Paper
Full-text available
With climate change, habitat loss, and impoverishment of food sources, several species of bird are are threatened today. It is crucial to conserve the biodiversity in ecosystems but the conservation that requires an improved knowledge of these. In this paper, we propose a connected nest box that make photos of nestling and measures them weight with...
Article
Full-text available
Smart Poultry acquires data from aviaries by means of sensor network at reduced intervals of time (every minute) that generatehundred thousands of data. The conjunction of Internet of Things and Artificial Intelligence open the field of the real-time mon-itoring of poultry, advance analytics and automation if data is from high quality. In this pape...
Article
Full-text available
Artificial intelligence (AI) and Internet of things (IoT) have progressively emerged in all domains of our daily lives. Nowadays, both domains are combined in what is called artificial intelligence of thing (AIoT). With the increase of the amount of data produced by the myriad of connected things and the large wide of data needed to train Artificia...
Article
Full-text available
Climatic chamber are enclosures where the ambient conditions, i.e. the temperature and humidity, are finely controlled. These speakers can play multiple roles such as the cultivation of plants (phytotron), the breeding of insects or habitat for exotic animals. In this paper, we propose a versatile and automated modular climatic enclosure system tha...
Article
The last few years have been marked by the presence of very large sets of images and videos in our everyday lives. These multimedia objects have a very fast frequency of creation and sharing since images and videos can come from different devices such as smartphones, satellites, cameras, or drones. They are generally used to illustrate objects in d...
Article
Full-text available
Digital Phenotyping is a emergent science mainly based on imagery techniques. The tremendous amount of data generated needs important cloud computing for their processing. The coupling of recent advance of distributed databases and cloud computing offers new possibilities of big data management and data sharing for the scientific research. In this...
Article
Full-text available
Smartphones, particularly iPhone, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance Inertial Measurement Units (IMU) and absolute positioning systems analyzing users’ movements, but they ca...
Article
Full-text available
The important increase of the elderly population and their desire to conduct an independent life, even when having medical diseases related to their age, requires the development of new technologies to ensure optimal living comfort for this population. In addition, another category of people, those who are patients with life-threatening problems, m...
Preprint
The analysis of application performance is essential to better exploit its potential on High-Performance Computing (HPC) architectures. Access to performance counters, available in modern processors, allows collecting key information about program behavior to provide the most appropriate HPC execution strategy. In this context, we have developed an...
Book
This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subsc...
Article
Full-text available
Smart farming is one of the most diverse researches. In addition, the quantity of data to be stored and the choice of the most efficient algorithms to process are important elements in this field. The storage of collected data from Internet of Things (IoT), existing on distributed, local databases and open data needs particular infrastructure to fe...
Article
Full-text available
The North-Western RIF of Morocco is considered as one of the most mountains zone in the Middle East and North Africa. This area is more serious in the corridor faults region, where the recent reactivation of those tectonic layering may greatly contribute to the triggering of landslides. The consequences of this phenomenon can be enormous property d...
Conference Paper
Full-text available
Irrigation, particularly pivot-center, is widely used around the world to fill the need of crop watering. This method of irrigation has a low efficiency compared to other methods of irrigation such as drip systems and generally they use water without consider the real need of plants. In this paper we propose an automation system based on the Intern...
Chapter
Video processing and more particularly motion tracking algorithms present a necessary tool for various domains related to computer vision such as motion recognition, depth estimation and event detection. However, the use of high definitions videos (HD, Full HD, 4K, etc.) cause that current implementations, even running on modern hardware, no longer...
Article
Full-text available
The Colony Collapse Disorder (CCD) also entitled ‘Colony Loss’ has a significant impact on the biodiversity, on the pollination of crops and on the profitability. The Internet of Things associated with cloud computing offers possibilities to collect and treat a wide range of data to monitor and follow the health status of the colon. The surveillanc...
Article
Heterogeneous systems which are composed of multiple CPUs and GPUs are more rnand more attractive as platforms for high performance computing. With thern evolution of General Purpose computation on GPU (GPGPU) and correspondingrn programming frameworks (OpenCL and CUDA), more applications are using GPUs rnas a co-processor to achieve performance th...
Presentation
High Performance Computing : Introduction to Cloud Computing
Conference Paper
Full-text available
Smartphones, particularly iPhones, can be relevant instruments for researchers widely used around the world in multiple domains of applications such as animal behavior. iPhones are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance inertial measurement units (IMU) and a...
Conference Paper
Full-text available
Digital phenotyping presents a very important tool for scientists to measure with high accuracy the effects of external phenomena on plant development. Plant phenotyping is mainly based on imaging techniques. However, the number of images and parameters used to store and treat these parameters are continuously growing. Consequently, the high-throug...
Article
Full-text available
Smartphones, particularly iPhones, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance inertial measurement units (IMU) and absolute positioning systems analyzing users’ movements, but they c...
Conference Paper
End-user systems are increasingly impacted by the exponential growth of data volumes and their processing. Moreover, post-processing operations, essentially dedicated to ergonomic features, require more and more resources. Improving overall performances of embedded relational database management systems (RDBMS) can contribute to deliver better resp...
Poster
Full-text available
Smartphones, particularly Iphones, are equipped with high performance inertial units and absolute positioning systems that are traditionally used to measure user behavior. They are also very relevant instruments for researchers in animal behavior. In this work, a lambda cloud architecture and web services are developed to archive and process high-f...
Conference Paper
Relational database management systems (RDBMS) are still widely required by numerous business applications. Boosting performances without compromising functionalities represents a big challenge. To achieve this goal, we propose to boost an existing RDBMS by making it able to use hardware architectures with high memory bandwidth like GPUs. In this p...
Conference Paper
Concurrently, with the rise of Big Data systems, relational database management systems (RDBMS) are still widely exploited in servers, client devices, and even embedded inside end-user applications. In this paper, it is suggest to improve the performance of SQLite, the most deployed embedded RDBMS. The proposed solution, named CuDB, is an "In-Memor...
Conference Paper
Concomitamment à la montée en puissance des systèmes de type « Big Data », les systèmes de gestion de base de données relationnelle (SGBDR) restent toujours largement utilisés. Dans cet article, nous présentons une solution capable d’améliorer la rapidité et la consommation énergétique d’un SGBDR embarqué SQLite. Notre solution, nommée CuDB, tente...
Conference Paper
GPUs benefit from much more computation power with the same order of energy consumption than CPUs. Thanks to their massive data parallel architecture, GPUs can outperform CPUs, especially on Single Program Multiple Data (SPMD) programming paradigm on a large amount of data. Database engines are now everywhere, from different sizes and complexities,...
Conference Paper
Solving large sparse linear systems is a time and energy consuming process. This paper presents an efficient exploitation of graphic processing units (GPUs) for accelerating Conjugate Gradient iterative solver (CG). We use the high-level software library PARALUTION for sparse linear algebra on multi/many-core systems, which supports GPU (with CUDA...
Conference Paper
issue for the efficiency of High Performance Computing. Virtualization adds layers and penalizes data transfers. Therefore, two new tools are proposed here to speed up data transfers between the Xen privileged virtual machine and unprivileged virtual machines. The first tool, named GNTRING, allows faster data transfers between domains by avoiding d...
Conference Paper
Image and video processing algorithms present a necessary tool for various domains related to computer vision such as medical applications, pattern recognition and real time video processing methods. The performance of these algorithms have been severely hampered by their high intensive computation since the new video standards, especially those in...
Conference Paper
Sparse matrices are entailed in many linear algebra problems such as linear systems resolution, matrix eigen-values/vectors computation and partial differential equations, wherefore sparse matrix vector product (SpMV) constitutes a basic kernel for solving many scientific and engineering applications problems. With the appearance of Graphics Proces...
Conference Paper
Accurate Vertebra localization presents an essential step for automating the diagnosis of many spinal disorders. In case of MR images of lumbar spine, this task becomes more challenging due to vertebra complex shape and high variation of soft tissue. In this paper, we propose an efficient framework for spine curve extraction and vertebra localizati...
Conference Paper
Full-text available
Video processing algorithms are widely used in applications related to computer vision such as motion tracking, human behavior understanding, event detection and localization. Nevertheless, the new video standards, in high definitions (HD: 1280×720, or Full HD: 1920×1080) cause that actual implementations, even running on modern hardware, can't res...
Chapter
This chapter proposes a model for image and video processing which exploits parallel (GPU, graphics processing unit) and heterogeneous (multi-central processing unit (CPU)/multi-GPU) architectures. It categorizes and describes two types of related works based on the exploitation of parallel and heterogeneous platforms for multimedia processing: one...
Article
Full-text available
Motion tracking algorithms are widely used in computer vision related research. However, the new video standards, especially those in high resolutions, cause that current implementations, even running on modern hardware, no longer meet the needs of real-time processing. To overcome this challenge several GPU (Graphics Processing Unit) computing app...
Conference Paper
Full-text available
Video processing algorithms present a necessary tool for various domains related to computer vision such as motion tracking, videos indexation and event detection. However, the new video standards, especially those in high definitions, cause that current implementations, even running on modern hardware, no longer respect the needs of real-time proc...
Conference Paper
Full-text available
This paper compares two parallel architectures, the GPU and the integrated ARM cluster, for the execution of map-reduce applications. The comparison targets performance and power usage. The increasing importance of energy efficiency, especially for large distributed systems - such as frequently used for map-reduce - motivates the comparison of alte...
Article
This work presents a new flexible parameterizable architecture for image and video processing with reduced latency and memory requirements, supporting a variable input resolution. The proposed architecture is optimized for feature detection, more specifically, the Canny edge detector and the Harris corner detector. The architecture contains neighbo...
Article
Full-text available
Image processing algorithms present a necessary tool for various domains related to computer vision. These algorithms are hampered by their high consumption of computing times when processing large sets of high resolution images. In this work, we propose a deve-lopment scheme enabling an efficient exploitation of parallel (GPU) and heterogeneous (M...
Conference Paper
The cloud computing is an economical paradigm to access high processing power at low price. In this context, cloud servers are strongly loaded in order to reduce user costs. GPUs offer very interesting performances that can boost many applications. Mixed with cloud computing, it can propose a way to cope with the data deluge. The server side of the...
Conference Paper
Full-text available
Image processing algorithms present a necessary tool for various domains related to computer vision, such as video surveillance, medical imaging, pattern recognition, etc. However, these algorithms are hampered by their high consumption of both computing power and memory, which increase significantly when processing large sets of high resolution im...
Conference Paper
Full-text available
Segmentation and representation of movements in videos play an important role in different applications such as search engines, video recommender systems, and video summariz-ers. In this paper, we present a system for semantic anno-tation of movements in video. This system is based on the temporal segmentation method that extracts the movement obje...
Conference Paper
In this paper, we present an approach for semantic annotation of movement in the videos that is based on ontology model and semantic concept classifiers. The video movement ontology (VMO) is defined by using OWL (Ontology Web Language), and included both schema and data. In fact, ontology concepts and their relationships that construct the movement...