Ludovic Koehl

Ludovic Koehl
Ecole Nationale Supérieure des Arts et Industries Textiles · GEMTEX Research Lab.

PhD in Automation and qualification for leading research

About

161
Publications
17,581
Reads
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1,212
Citations
Introduction
Since 1999, involved in a great number of projects dealing with optimization of the quality and comfort of textiles by integrating physical measures and human knowledge in the field of technical textiles, quality of textiles as well as new usage and consumers' behaviour studies for textile industry. Since 1998, published more than 92 papers (to March 2019). Research interests include pattern recognition, data mining, Big Data Mgt, Recommendation Systems, Traceability, computer modeling and their applications in textile industry.
Additional affiliations
November 2018 - present
GEMTEX
GEMTEX
Position
  • Consultant
Description
  • Research lab. dedicated to textile materials and engineering Its unique research team is structured in 3 themes: - Human Centered Design (HCD) - Multifunctionnal Textiles and Processes (MTP) - Mechanics Textile Composites (MTC)
November 2015 - October 2018
Ecole d'ingénierie et d'innovation textile
Position
  • Managing Director
Education
September 2005 - December 2006
University of Lille Nord de France
Field of study
  • Automation and Computer Science

Publications

Publications (161)
Preprint
Full-text available
The application of Federated Learning (FL) is steadily increasing, especially in privacy-aware applications, such as healthcare. However, its applications have been limited by security concerns due to various adversarial attacks, such as poisoning attacks (model and data poisoning). Such attacks attempt to poison the local models and data to manipu...
Article
Full-text available
Design for longevity is known as an eco-design opportunity and could help to reduce the environmental footprint of energy-free items. However, extending the lifespan of products is not always desirable and the focus should be on achieving an optimal lifespan. Operationally, recommendations for design for longevity usually refer to durability, repai...
Chapter
Full-text available
The main purpose of a healthcare support system is to provide %timely and accurate information to clinicians, patients, and others to inform decisions about healthcare. Healthcare support systems can potentially lower costs, improve efficiency, and reduce patient inconvenience. For example, Healthcare support systems can help by alerting clinicians...
Article
Full-text available
Deep learning plays a vital role in classifying different arrhythmias using electrocardiography (ECG) data. Nevertheless, training deep learning models normally requires a large amount of data and can lead to privacy concerns. Unfortunately, a large amount of healthcare data cannot be easily collected from a single silo. Additionally, deep learning...
Preprint
Full-text available
Human Activity Recognition (HAR) has been a challenging problem yet it needs to be solved. It will mainly be used for eldercare and healthcare as an assistive technology when ensemble with other technologies like Internet of Things(IoT). HAR can be achieved with the help of sensors, smartphones or images. Deep neural network techniques like artific...
Article
Full-text available
In the context of fashion/textile innovations towards Industry 4.0, a variety of digital technologies, such as 3D garment CAD, have been proposed to automate, optimize design and manufacturing processes in the organizations of involved enterprises and supply chains as well as services such as marketing and sales. However, the current digital soluti...
Conference Paper
Full-text available
Given the diversity of textile products, their uses and also the reasons related to their end-of-life, it appears that estimating the effective lifespan of clothing items is unrealistic. To estimate a lifespan equivalent, a reasonable solution is to rely on standards commonly performed by the apparel industry. However, according to the internationa...
Preprint
Full-text available
Deep learning play a vital role in classifying different arrhythmias using the electrocardiography (ECG) data. Nevertheless, training deep learning models normally requires a large amount of data and it can lead to privacy concerns. Unfortunately, a large amount of healthcare data cannot be easily collected from a single silo. Additionally, deep le...
Conference Paper
Full-text available
Increasing clothing longevity is recognized as a promising lever to help in reducing apparelsector's environmental impacts. However, longevity evaluation of textile products remains complex and so tracking of longevity factors is needed. Current researches mainly focused on garment design to increase lifespan. Since, no researches involving fabric...
Article
This paper aims to propose an interpretable knowledge-based decision support system (IKBDSS) that will assist physicians to predict the risk level of a disease. Our system enables to integrate both historical cases extracted from database and opinions provided by different experts in order to set up a medical knowledge base and provide relevant adv...
Article
Background Fabric is one of the key and vital design factors in fashion design. However, selection of relevant fabrics is rather complex for designers and managers due to the complexity of criteria at different levels. Introduction In this paper, we propose a new fabric recommendation model in order to quickly realize fabric selection from non-tec...
Article
In this paper, we originally propose an interactive, knowledge-based design recommender system (IKDRS) for relevant personalised fashion product design schemes with their virtual demonstrations for a specific consumer. This system enables the iterative interaction between virtual product demonstration and the designer’s professional knowledge and p...
Chapter
Recent years have witnessed the rapid development of human activity recognition (HAR) based on wearable sensor data. One can find many practical applications in this area, especially in the field of health care. Many machine learning algorithms such as Decision Trees, Support Vector Machine, Naive Bayes, K-Nearest Neighbor, and Multilayer Perceptro...
Article
Full-text available
Objectives: This paper presents a novel wearable system for in-home and long-term fetal movement monitoring on a reliable and easily accessible basis. Material and methods: The system mainly consists of four accelerometers for fetal movement signal acquisition, a microcontroller for signal processing and an Android-based device interacting with the...
Chapter
This chapter presents an intelligent wearable system based on the design of an instrumented garment specially designed for firefighters and focuses on the context of crisis management. A powerful application of intelligent garments is related to risk management in hostile environments. By learning from data measured by the garment's sensors, a loca...
Conference Paper
Full-text available
Thanks to the rapid development and applications of advanced technologies, we are experiencing the fourth industrial revolution, or Industry 4.0, which is a revolution towards smart manufacturing. The wide use of cyber physical systems and Internet of Things leads to the era of Big Data in industrial manufacturing. Artificial Intelligence algorithm...
Conference Paper
Life cycle assessment (LCA) is widely recognised as an established tool for analysing the environmental impact of a product over the entire life cycle. As uncertainty is inevitably present along the analysis process, it is essential to quantify and treat it explicitly. In this paper, Monte Carlo (MC) simulation is implemented for the stochastic stu...
Article
Full-text available
In the clothing industry, the understanding of the quality is a major issue to well meet the customer needs. The dilemma that faces manufacturers is to find the balance between good quality and “overquality,” what the quality criteria are, and how to target requirements specifications. The aim of this study was to propose a multi-attribute ranking...
Conference Paper
Recent years have witnessed the rapid development of human activity recognition (HAR) based on werable sensor data. One can find many practical applications in this area, especially in the field of health care. Many machine learning algorithms such as Decision Trees, Support Vector Machine, Naive Bayes, K-Nearest Neighbor and Multilayer Perceptron...
Preprint
Full-text available
Recent years have witnessed the rapid development of human activity recognition (HAR) based on wearable sensor data. One can find many practical applications in this area, especially in the field of health care. Many machine learning algorithms such as Decision Trees, Support Vector Machine, Naive Bayes, K-Nearest Neighbor, and Multilayer Perceptro...
Article
Full-text available
The traceability is of paramount importance and considered as a prerequisite for businesses for long-term functioning in today’s global supply chain. The implementation of traceability can create visibility by the systematic recall of information related to all processes and logistics movement. The traceability coding tag consists of unique feature...
Article
Full-text available
Product security is one of the major concerns in the textile industry. Every year, fashion brands suffer significant loss due to counterfeit products. Addressing this, the paper introduces a secured tag for traceability and security of textile products. The proposed tag is unclonable, which can be manufactured using conventional screen-printing pro...
Article
Full-text available
Innovations in telecommunication and online service solutions facilitate the emergence of remote medical diagnosis and treatment consultations. Using information and communication technologies (ICT’s), timely e-health services to individuals are becoming a viable alternative to traditional healthcare solutions, which reduces pressure on the health...
Article
Full-text available
Textile and clothing industry is one of the oldest manufacturing industries and is a major contributor in the economic growth of developing countries.However, from past few decades, it has been criticised for its opaque, unsecuredand untraceable nature of supply chain. Addressing these challenges, the paper proposes a system approach to introduce a...
Chapter
Multisensory evaluation is an interesting realm in sensory study. It deals with relations between not only different human sensory modalities but also different levels of perceptions. As for textile products, multisensory research investigates textile or apparel properties perceived through different senses as well as the relations between sensory...
Article
Full-text available
Garment purchasing through the e-shopping platforms has become an important trend for consumers of all parts of the world. More and more e-shopping platforms have proposed recommendation functions to consumers in order to make them to obtain more easily desired products and then increase shopping sales. However, there are two main drawbacks in the...
Article
As the successful implantation of CAD (computer-aided-design) technology in garment industry, the 3D virtual garment technology has attracted a great attention of textile/garment companies. However, wearer's perception on virtual garment in terms of fitting and comfort has never been systematically studied. In this paper, we propose an original cus...
Article
Full-text available
This article introduces a random particle-based traceability tag for textiles. The proposed tag not only act as a unique signature for the corresponding textile product but also possess the features such as easy to manufacture and hard to copy. It seeks applications in brand authentication and traceability in textile and clothing (T&C) supply chain...
Conference Paper
Robots will face a huge deployment in a very near future for people’s everyday lives. Main objective is to reduce or eliminate safety and health risks inherent to physically demanding duty or risky work. The present paper focuses on unsafe and hazardous tasks performed by firefighters and aims at proposing organizational and technical tools to bala...
Article
Traceability has gained considerable attention to facilitate monitored production, product recall, safety and reverse supply chain activities, in recent years. Traceability in manufacturing and distribution involves the use of tracking tags which are attached to the products; consequently, the products are tracked by recording the identity of attac...
Chapter
In this chapter, the focus is on exploring the uncertainty problem generated by the human perception of fashion design in apparel supply chain systems. Discussions on an experimental methodology based on fuzzy logic techniques for optimizing the decision support from product development to target market are presented. As an industrial application,...
Chapter
Colour-changing and light-emitting textile structures can be developed using chromic or luminescent materials. They are able to change their optical properties when a specific stimulus is applied to them. This stimulus can be optical, thermal, electrical, chemical or mechanical. Luminescent materials are able to emit light; electroluminescent diode...
Article
Sixty-six commonly used suitings were selected as the experimental samples of the current study. The Kawabata Evaluation System was used to measure the mechanical properties of the samples. Each sample fabric was made into a shoulder-back as a part of a men’s suit. In order to study the appropriateness of the samples for making good shaped men’s su...
Article
In the present research, a new approach has been proposed to study the tactile properties of a set of suiting fabrics. Seven sensory descriptors were generated to explore the tactile dimensions of the samples, and the total hand was used to represent the general preference according to the end-use of men’s suits. The sensory assessments were conduc...
Article
Textile and clothing industry is one of the classical manufacturing industries which have recently undergone major transformations due to delocalization and high market volatility. In this context, one solution to guarantee the control and optimization of globalized supply chain is the implementation of a traceability system to follow-up the activi...
Article
In this article, a systematic method based on two sensory experiments has been proposed to explore the relations between the visual and haptic perceptions of the tactile properties of a number of textile samples. The first experiment is designed to investigate to what extent fabric tactile properties could be perceived through the samples' visual r...
Article
Full-text available
The assessment of goods quality using experts is costly task in addition to their often unavailability. In this paper, we present a new method for ranking physical features of consumer goods according to their relevancy to multiple evaluators’ perception at different levels and selecting the most important ones for quality characterization. The mai...
Article
The current study is aimed to analyze the consistency and reliability of untrained consumers' perception of fabric hand. A group of untrained assessors are recruited to evaluate the fabric hand of a number of suit fabrics through free sorting and rating experiments. Two statistical methods have been used to measure the consistency between the sorti...
Conference Paper
Since firefighters usually work in high risky working conditions, like high temperature, toxic gases, flames, explosion or collapse. It is extremely important to monitor their physiological states by analyzing in real time the firefighter's information on their health states. Moreover, it is certain that transmitting the firefighter's physiological...
Conference Paper
Fetal movement is an important indicator showing fetal health. Classically, ultrasound and pregnant women's subjective perception are the most popular methods for detecting fetal movements. However, ultrasound is available in hospitals only, causing inconvenience to pregnant women. The pregnant women's subjective perception is strongly related to h...
Article
Full-text available
A novel approach of physical feature selection is proposed based on the techniques of fuzzy logic and ordered weighted averaging (OWA) operators. The selection is considered as a Multi Expert-Multi Criteria Decision Making (ME-MCDM) problem, since this approach ranks physical features according to their relevancy to multiple experts' perception. In...
Article
This paper proposes an original study for controlling, in an Internet and virtual reality-based collaborative design platform, human perception on 3D virtual garments by adjusting fabric parameters, constituting the inputs to the garment CAD software. This study will permit the designer to determine the most relevant product through a number of int...
Article
This paper proposes a new intelligent fashion recommender system to select the most relevant garment design scheme for a specific consumer in order to deliver new personalized garment products. This system integrates emotional fashion themes and human perception on personalized body shapes and professional designers' knowledge. The corresponding pe...
Article
This paper presents an approach for developing a new consistency degree of two datasets, obtained from two different measuring systems on the same collection of items. In this approach, the concept of indiscernibility, frequently used in rough set approaches, is used to discover the classification consistency-based inclusion of one dataset to anoth...
Article
Artificial neural networks (ANNs) are used to model the relationship between plasma processing parameters and woven fabric surface wetting properties. In this model, fourteen features characterizing woven structures and two plasma parameters are taken as input variables and the water contact angle cosine and capillarity height as output variables....
Conference Paper
Full-text available
Selection of relevant parameters from a high dimensional process operation setting space is a problem frequently encountered in industrial process modelling. This paper presents a method for selecting the most relevant fabric mechanical parameters for each sensory quality feature. The proposed relevancy criterion has been developed using two approa...
Conference Paper
3D virtual garment design using specific computer-aided-design software has attracted a great attention of textile/garment com-panies. However, there generally exists a perceptual gap between virtu-al and real products for both designers and consumers. This paper aims at quantitatively charactering human perception on virtual fabrics and its relati...
Article
When developing mass customized products, human perception on products, including consumer's and design expert's perception, should be integrated into the process of design. So in this paper, we originally propose a fashion decision support system for supporting designer's work. In this system, we first characterize and acquire fashion expert perce...
Conference Paper
Using their ability to change their color according to an external stimulation, chromic materials can be used to form a color-changing textile. Electrochromic materials, more particularly, are able to change their color when an electric potential is applied across them. A flexible textile electrochromic device composed of four layers will be expose...
Article
Full-text available
Using their ability to change their color according to an external stimulation, chromic materials can be used to form a color-changing textile. Electrochromism, more particularly, is a colour change phenomenon caused by the application of an electrical potential. A flexible textile electrochromic device composed of four layers is presented. In orde...
Conference Paper
Full-text available
Using their ability to change their color according to an external stimulation, chromic materials can be used to form a color-changing textile. Electrochromism, more particularly, is a color change phenomenon caused by the application of an electrical potential. A flexible textile electrochromic device composed of four layers will be exposed. In or...