Valentin Gies

Valentin Gies
Université de Toulon | USTV · Département de Génie Electrique et Informatique Industrielle (GEII)

PhD

About

42
Publications
13,286
Reads
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131
Citations
Introduction
Valentin Gies currently works at Toulon University, in IM2NP CNRS laboratory. He is working on embedded artificial Intelligence and robotics, with a focus on ultra low-power applications.
Additional affiliations
September 2007 - May 2020
Université de Toulon
Position
  • Maitre de Conférences
Description
  • Researcher in embedded artificial intelligence, edge computing and robotics
Education
September 2002 - September 2005
Université Paris-Sud 11
Field of study
  • Electronics and image processing
September 1998 - September 2002
Ecole normale supérieure de Cachan
Field of study
  • Applied Physics

Publications

Publications (42)
Article
Full-text available
In this paper, a less than $200 artificial ventilator that can be used against COVID-19 pandemic is presented. Using low-cost easyto-find materials, it has been designed for helping developing countries where supplies for building new medical equipments are limited. It complies with medical requirements, allowing to monitor and adjust ventilation p...
Conference Paper
An ultra low power acoustic wake-up detector based on high frequency signal analysis is presented in this paper. Focused on environmental or military Internet of Things (IoT) applications, it aims at detecting in real time the presence of specific animal species or drones for generating alerts and for triggering power consuming tasks such as high f...
Article
Full-text available
Cetacean monitoring is key to their protection. Understanding their behavior relies on multi-channel and high-sampling-rate underwater acoustic recordings for identifying and tracking them in a passive way. However, a lot of energy and data storage is required, requiring frequent human maintenance operations. To cope with these constraints, an ultr...
Conference Paper
In this paper, an ultra-low power embedded unsupervised learning smart vibration sensor is proposed for automatic industrial monitoring and fault detection. Using K-means algorithm, it is able to detect abnormal vibrations patterns. Architecture of the system is first presented, then embedded processing algorithms composed of feature extraction and...
Conference Paper
This paper presents a mixed analog-digital always-on ultra low-power wake-up based on pulse pattern analysis. It is used for triggering a high performance multi-channel recorder only when necessary. Its architecture makes the most of ultra-low power analog primitives coupled with an embedded digital low power system for fine tuning the pulse detect...
Conference Paper
Full-text available
Acoustic monitoring is a key feature for studying biodiversity. Recent works on very high frequency animal sounds open new insights and challenges on biodiversity survey. In order to set a scaled monitoring, and to cover most of the frequencies of the present species, a novel multi-channel ultra high velocity recorder has been designed, called Qual...
Chapter
Robot design is a very active part of industrial activity. Mechatronics 4.0 takes its place there. For the realization of complex tasks, one often calls upon the multi-agent design of robots. Several system engineering approaches are possible and the one using rapid prototypes is among the most encountered. Iterative cycles can be used for the desi...
Article
Full-text available
Reluctance coil guns are electromagnetic launchers having a good ratio of energy transmitted to actuator volume, making them a good choice for propelling objects with a limited actuator space. In this paper, we focus on an application, which is launching real size soccer balls with a size constrained robot. As the size of the actuator cannot be inc...
Technical Report
Full-text available
Robot Club Toulon Middle-size league (MSL) team is a new team aiming at participating in the RoboCup 2020. For our second participation, our robots have been entirely redesigned. This paper explains the major changes in our robots, and focus on changes that have not been tested yet by the MSL RoboCup community.
Article
Full-text available
This paper addresses a formation tracking problem of multiple low-cost underwater drones by implementing distributed adaptive neural network control (DANNC). It is based on a leader-follower architecture to operate in hazardous environments. First, unknown parameters of underwater vehicle dynamics, which are important requirements for real-world ap...
Article
The voltage feedback operational amplifier (VFOA) and the current feedback operational amplifier (CFOA) are the main voltage type output opamps currently used in electronic. The VFOA is a combination of an operational transconductance amplifier (OTA) used as input stage and with an output voltage buffer (VB). In this paper, the CFOA is described as...
Chapter
Full-text available
This paper focuses on the modelling and optimization of a RoboCup Middle Size League (MSL) coil-gun. A mechatronic model coupling electrical, mechanical and electromagnetic models is proposed. This model is used for optimizing an indirect coil-gun used on limited size robots at the RoboCup for kicking real soccer balls. Applied to a well defined ex...
Patent
L'invention concerne un système permettant l'acquisition et le traitement de données représentatives de l'activité physique ou mentale et/ou de l'état physiologique d'individus humains ou animaux. Ce système est caractérisé en ce qu'il comporte, pour chaque individu, un boîtier électronique individuel et unique regroupant plusieurs capteurs suscept...
Conference Paper
Full-text available
This paper focuses on the modelling and optimization of a RoboCup Middle Size League (MSL) coil-gun. A mechatronic model coupling electrical, mechanical and electromagnetic models is proposed. This model is used for optimizing an indirect coil-gun used on limited size robots at the RoboCup for kicking real soccer balls. Applied to a well defined ex...
Conference Paper
Full-text available
Robot Club Toulon is a new Middle-Size League team from IUT Toulon and University of Toulon participating in the RoboCup 2019. For its first participation to this Robot Soccer World Cup, a whole robot team has been developped from scratch. This paper explains the architecture of our robots with the technologies and research fields involved in the p...
Article
Full-text available
This article focuses on indirect coil-guns, used for launching non-magnetic objects. A mechatronic model coupling electrical, mechanical and electromagnetic ones is proposed. This model is applied to an optimisation of a kicking system used on limited size robots at the RoboCup for propelling real soccer balls. Working with an existing coil gun, we...
Conference Paper
we demonstrate that we can obtain a high definition 3D track of deep diving cetaceans from a five-channel, small-aperture hydrophone array on a moving autonomous surfacevehicle(ASV),enabledbythevessel’shydrodynamic quality and a high recording sample rate. Real-time processing is achieved by splitting our non-uniform array into two partsfortimedelayo...
Article
Full-text available
A study of the non-inverting amplifier based on a two stages CMOS unbuffered current-feedback-operational-amplifier (UCFOA) is proposed in this paper. Using a small-signal equivalent circuit (macro-model) of the non-inverting amplifier, a theoretical explanation of the closed loop gain is given. The opamp phase margin and its bandwidth have been es...
Conference Paper
Full-text available
An ultra low power acoustic wake-up detector based on high frequency signal analysis is presented in this paper. Focused on environmental or military Internet of Things (IoT) applications, it aims at detecting in real time the presence of specific animal species or drones for generating alerts and for triggering power consuming tasks such as high f...
Conference Paper
Full-text available
Being used for synchronizing and triggering environmental and military Internet of Things (IoT) wireless networks, an ultra low power wake-up system based on frequency analysis is presented in this paper. With an average power consumption of 34μW, this wake-up detector is able to detect signals in different frequency bands, generating a separate ou...
Article
We designed and built a high capacity digital analog converter : JASON Qualilife DAQ [1] which is capable of sampling at 1 MHz on 5 channels simultaneously to assess cetacean biosonar and the source position and orientation relative to the array using time delay of arrivals of the biosonar acoustical signals. We used JASON with underwater portable...
Conference Paper
Full-text available
Being used in for environmental and military Internet of Things (IoT), a low power wake-up system based on frequency analysis is presented in this paper. It aims at detecting continuously the presence of specific very high frequencies in the input acoustic signal of an embedded system. This can be used for detecting specific animal species, and for...
Article
Full-text available
In this paper, we proposed to use the Efficient Indoor Thermal Time Constant (EITTC) to characterize the indoor thermal response in old buildings. Accordingly, a low cost, energy-efficient, wide-applicable indoor thermal modeling solution is developed by combining Wireless Sensor Network (WSN) and Artificial Neural Network (ANN). Experiments on bot...
Conference Paper
Full-text available
A wireless sensor network (WSN) consisting of autonomous sensor nodes can provide a rich stream of sensor data representing physical measurements. A well built Artificial Neural Network (ANN) model needs sufficient training data sources. This paper proposes a procedure of combining ANN and WSN sensor data in modeling. Experiments on indoor thermal...
Patent
The invention relates to a system allowing the acquisition and processing of data representative of the physical or mental activity and/or of the physiological state of human or animal individuals. This system includes, for each individual, a unique individual electronic box encasing several sensors capable of measuring physical and/or biological q...
Conference Paper
Efficient regional computation is a key for low power mid-level image processing. In this paper, we show how to fit digital retinas with such capabilities. We propose a low power and fast hardware software solution to perform regional integral operations based on a regional sum primitive. It takes advantage of a mixed synchronous-asynchronous appro...
Article
Full-text available
Image processing is usually divided into low- mid- and high-level operations. Mid-level regional operators are a key feature in image processing. In a preliminary study, we present their importance considering image processing with an energetic point of view. We also determine a general way of implementing these operators in order to use them in an...
Conference Paper
Full-text available
Low level local image processing is efficiently performed by array processors operating in SIMD mode. Performing mid-level regional image processing leads to using local combinatorial operators combined with an asynchronous programmable interconnection network. However, this approach has an important hardware cost because asynchronism implies the u...
Conference Paper
Full-text available
Micro-pipelines are linear (1D) structures for asynchronous communications. In retinotopic VLSI vision chips, communicating over 2D image regions is a key to efficient mid-level vision computations. However, micro-pipelines are limited to 1D communications only. In this paper, we introduce an extension of the micro-pipeline, called the convergent m...
Conference Paper
Full-text available
Due to the restriction of SIMD mode to local operations in VLSI massively parallel vision chips, using programmable connections and asynchronous communications are key ingredients to support regional computations. Asynchronism implies using combinatorial multi-input operators having an important hardware cost. To reduce it, we propose to use a conn...
Article
Full-text available
Programmable artificial retinas (PAR) are image sensors with a digital processor in each pixel. PAR based vision systems are our framework. In its basic version, a PAR operates in SIMD mode, which restricts it to low level vision only. To support higher levels of vision, non-SIMD operators have to be settled in each pixel. Programmable connections...
Article
Full-text available
Image processing is usually divided into low- mid- and high-level operations. Mid-level regional operators are a key feature in image processing. In a preliminary study, we present their importance considering image processing with an energetic point of view. We also determine a general way of implementing these operators in order to use them in an...
Conference Paper
Full-text available
A region based algorithm for segmentation motivated by a parallel implementation is introduced. It is obtained by combining the watershed transform with further merging based on a statistical approach which is first independently introduced. This algorithm leads to a statistically reliable segmentation.

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