Yannick Le Moullec

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Verified

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• PhD, HDR
• Professor at Tallinn University of Technology

Classifying microfluidic droplets is an essential step in imaging flow cytometry. While deep learning algorithms can detect and classify such droplets in benchtop laboratory settings, their deployment on portable devices remains challenging because the computational requirements often exceed the capabilities of compact, resource-limited devices. Th...

In imaging flow cytometry (IFC), image quality obtained from the camera is generally assessed subjectively, which is not suitable for automated processes. Automated image quality assessment (IQA) is essential for consistent and precise data analysis and interpretation in IFC, directly impacting the reliable classification of microparticles inside d...

This paper proposes two general active-passive two-way ranging (TWR) methods: AP1-TWR and AP2-TWR. The proposed methods rely on 2 types of anchors: active-passive and passive-only. The first type actively takes part in packet exchange and listens to transmissions of other active-passive anchors, and the second type only listens. Pairing these conce...

Recently, drones technology started unleashing numerous novel applications and services and became one of the killer applications for the Mobile Edge Computing (MEC) paradigm. The main challenge for real-time applications is, however, transferring data between data processing servers and drones, which yields considerable latency and energy consumpt...

Several approaches can be used to find defects in metal surfaces. Eddy current testing is a simple and efficient method for non-destructive testing of metals, identifying alloys, measuring coating thickness, and detecting corrosion. Impedance spectroscopy enables depth profiling and high-speed measurements in real-time manufacturing. For example, i...

Sales process became more complex over time. Push from the market, government, industry towards sustainability. Now company’s success is not solely determined by its financial performance. The consumer electronics sector is among the most environmentally harmful. Adoption of eco-labelling certifications. Goal: To outline novel insights into how tai...

The electronics industry is at a critical crossroads in the quest for sustainability. The concept of a circular economy in the electronics industry (including but not limited to reusing, repairing, and recycling) is gaining traction, with regulatory frameworks increasingly incorporating principles of circularity and sustainability. While the EU's g...

Good quality of single droplet image acquisition in imaging flow cytometry (IFC) is crucial for a wide range of biological analyses. Recently, there have been significant advances in droplet microfluidic data analysis; however, acquiring blur-free single object images is still a great challenge because of the tradeoff between high flow rate and har...

The rapid advancement of autonomous and heterogeneous unmanned aerial vehicle (UAV) swarms necessitates efficient computation offloading (CO) strategies to optimize their performance in industries, e.g., disaster management, surveillance, and environmental monitoring. UAVs face constraints such as limited energy, latency requirements, and failure r...

Goal: Real-time abnormality detection in gait analysis is an open challenge. The existing state-of-the-art is limited by the fact that it does not take into account ’in-step’ anomaly detection. Timely detection of gait abnormalities during the mid-swing phase of the step (i.e., within 50ms detection time) is required to make informed gait correctio...

In this paper, the goal is to reduce the time needed for the placement and migration of services of Connected Automated Vehicles (CAV) using precise hybrid positioning method. First, to place a service in a Multi-access Edge Computing (MEC) node, there should be sufficient resources in the served MEC node; otherwise, the service would be placed on...

p>In this research, we provide a co-design strategy for WNCS that simultaneously optimizes network and control parameters. The goal is to optimize power use on the wireless communication layer by establishing a variable inter-packet gap (IPG) or by transforming the control strategy from reliable control to energy-efficient control with moderate rel...

In some situations, the numerical properties of Direct Form I (DF-I) and Direct Form II (DF-II) Infinite Impulse Response (IIR) filter structures may degrade, e.g., when the filter approaches its stability limit. Other filter structures may be numerically more robust under such conditions. For example, an Nth order Lattice filter composed of N stru...

With the advent of sixth-generation (6G) networks, significant advancements are anticipated in wireless communication, particularly in critical communication scenarios where reliable and efficient communication is of utmost importance. Device-to-Device (D2D) communication is a pivotal technology in6G which allows direct communication between nearby...

A swarm of autonomous and heterogeneous drones has many benefits in various scenarios e.g. search and rescue, disaster management, agriculture, delivery and logistics, mapping and surveying, environmental monitoring, etc. However, the presence of obstacles in the environment poses challenges to communication between drones, including network covera...

Open Radio Access Network (O-RAN) is a decentralized, intelligent, and open network architecture. RAN Network Functions (RNF) are split into Open Central Unit (O-CU), Open Distributed Unit (O-DU), and Open Radio Unit (O-RU), which are deployed on commercial hardware and cloud nodes as containerized Network Functions (CNFs). This paper presents a co...

Device-to-device (D2D) enables direct communication between two-user equipment (UEs) with or without the involvement of a base station (BS). D2D communication is a vital paradigm for designing a reliable public safety network (PSN) and supports several services in the sixth generation (6G) such as target monitoring, emergency search and rescue, etc...

The UPPAAL models for the paper “Design of Cyber Bio-Analytical Physical Systems: Formal Methods, Architectures, and Multi-System Interaction Strategies” can be found at: https://github.com/KanwalAshraf/UPPAAL_Models

Device-to-device (D2D) enables direct communication between two-user equipment (UEs) with or without the involvement of a base station (BS). D2D communication is a vital paradigm for designing a reliable public safety network (PSN) and supports several services in the sixth generation (6G) such as target monitoring, emergency search and rescue, etc...

Integration of the Cyber-Physical System (CPS) concept with bio-analytical devices is highly desirable to enable device automation as well as to improve diagnostic and analytical capabilities. However, the modeling must account for entity interactions, system dynamics, and non-functional aspects required for proper device functionality. This paper...

This paper first presents a comprehensive analysis of Non-Line-of-Sight (NLoS) error cases in the Ultra-Wideband (UWB) Active-Passive Two-Way Ranging (AP-TWR) protocol. Based on this analysis, we then propose the Adaptive Extended Kalman Filter (A-EKF) positioning method, utilizing variances calculated from AP-TWR range estimates, which are adapted...

This paper explores the use of the CapsuleNeural Network (CapsNet) on small datasets for image recognition and its possible embedded/edge device implementation. As compared to data-hungry Convolutional Neural Network (CNN), CapsNet can operate with data scarce scenarios. CapsNet is briefly presented, followed by the training process. A CapsNet mode...

The suitability of two deep learning models for classifying microscopic medical images is investigated on four types of white blood cell images; the inference phase is implemented onto a single board computer. The first proposed model is custom-developed by careful selection of the hyperparameters; the second one is based on transfer learning. A da...

This paper presents the prototyping of a system to maintain and improve the movement ability of people with problems of the nervous system with the help of neurostimulation using signal processing and elements of machine learning. We present the selection of a suitable neuromuscular stimulation device for initial testing and forming a basis for the...

NB-IoT technology is characterized by e.g. wide coverage, massive connectivity, reduced device energy consumption, and lower device cost, making it a suitable choice for the Internet of Things (IoT) vision. With these NB-IoT provisions, this work presents an NB-IoT based visual Smart Waste ManagementSystem (SWMS) that involve the design and develop...

This paper explores least squares (LS), median (MED), inverse distance weighting (IDW), distance weighted estimator (DWE) and three different weighted least squares (WLS) methods for Ultra-Wideband (UWB) active-passive two-way ranging (AP-TWR) measurement matrix estimation. The proposed methods were tested with practical experiments in line-of-sigh...

This paper proposes a deep Reinforcement Learning (RL) based co-design approach for joint-optimization of wireless networked control systems (WNCS) where the co-design approach can help achieve optimal control performance under network uncertainties e.g. delay and variable throughput. Compared to traditional and modern control methods where the dyn...

Device-to-device (D2D) enables direct communication between two-user equipment (UEs) with or without the involvement of a base station (BS). D2D communication is a vital paradigm to design a reliable public safety network (PSN) and support several services in the sixth generation (6G) systems such as target monitoring, emergency search and rescue,...

The fifth-generation (5G) and beyond 5G (B5G) wireless networks introduced massive machine-type communications (mMTC) to cope with the growing demand of massive Internet of Things (IoT) applications. However, the heterogeneous characteristics of massive IoT and diverse quality of service (QoS) requirements may lead to severe interference that could...

Device-to-device communication, as provided by the third generation partnership project standardization, can play a vital role in designing a reliable pervasive public safety network, which allows the user equipment (UEs) to communicate directly with each other in emergency situations. In this paper, we analyze the performance of direct discovery,...

Machine Learning (ML) techniques can play a pivotal role in energy efficient IoT networks by reducing the unnecessary data from transmission. With such an aim, this work combines a low-power, yet computationally capable processing unit, with an NB-IoT radio into a smart gateway that can run ML algorithms to smart transmit visual data over the NB-Io...

Bio-analytical devices have gained importance over the past few years because of their application in rapid diagnostics and biochemical analysis. The integration of the Cyber-Physical System (CPS) concept with bio-analytical devices is essential to enable automation of the device. Modeling of CPS-based bio-analytical devices can provide a deeper un...

Today, unmanned aerial vehicles (UAVs) or drones are increasingly used to enable and support multi-access edge computing (MEC). However, transferring data between nodes in such dynamic networks implies considerable latency and energy consumption, which are significant issues for practical real-time applications. In this paper, we consider an autono...

Device-to-device communication, as provided by the third generation partnership project standardization, can play a vital role in designing a reliable pervasive public safety network, which allows the user equipments to communicate directly with each other in emergency situations. In this paper, we present experimental results and evaluate the perf...

Interest in remote monitoring has grown thanks to recent advancements in Internet-of-Things (IoT) paradigms. New applications have emerged, using small devices called sensor nodes capable of collecting data from the environment and processing it. However, more and more data are processed and transmitted with longer operational periods. At the same,...

The integration of information flow and management between different domains within laboratory setups has been under focus for many years. Communication technologies and data distribution play a key role in this integration. In this research, we propose a data distribution structure for bio-analytical laboratories based on a decentralized publish-s...

In this paper, we propose an inter-cell interference (ICI) minimization scheme for uplink transmission in the narrow-band internet of things (NB-IoT) systems. We first establish the theoretical ICI problem formulation and propose its corresponding solution for the orthogonal multiple access (OMA) NB-IoT system. Based on the theoretical formulation,...

NarrowBand Internet of Things (NB-IoT) is an emerging cellular IoT technology that offers attractive features for deploying low-power wide area networks suitable for implementing massive machine type communications. NB-IoT features include e.g. extended coverage and deep penetration for massive connectivity, longer battery-life, appropriate through...

High-throughput microflow cytometry has become a focal point of research in recent years. In particular, droplet microflow cytometry (DMFC) enables the analysis of cells reacting to different stimuli in chemical isolation due to each droplet acting as an isolated microreactor. Furthermore, at high flow rates, the droplets allow massive parallelizat...

This paper proposes a generalized approach combining two-way ranging (TWR) and passive ranging methods, called active-passive two-way ranging (AP-TWR). The proposed approach offers a generalized solution for a wide range of anchor configurations in positioning systems. The possibility to define active-passive and passive-only anchor roles allows sc...

See the pre-print version here: https://www.researchgate.net/publication/345942851_Active-Passive_Two-Way_Ranging_Using_UWB

In scenarios, like critical public safety communication networks, On-Scene Available (OSA) user equipment (UE) may be only partially connected with the network infrastructure, e.g., due to physical damages or on-purpose deactivation by the authorities. In this work, we consider multi-hop Device-to-Device (D2D) communication in a hybrid infrastructu...

Nowadays, radio spectrum scarcity has become a pivotal problem in the field of telecommunication because of the unprecedented surge in the number of spectrum users. Full-Duplex (FD) radio is an emerging technology that allows wireless users to transmit and receive data simultaneously with the same frequency, which eventually improves the spectral e...

The high mobility of Unmanned Aerial Vehicles (UAVs) and their capability to rapidly deploy Aerial Base Stations (ABS) in areas where the terrestrial network becomes unavailable is a key enabler for Public Safety Networks. In our work we introduce a model in order to identify Line of Sight (LoS) and Non-Line of Sight (NLoS) conditions for User Equi...

Gait is the locomotion attained through the movement of limbs and gait analysis examines the patterns (normal/abnormal) depending on the gait cycle. It contributes to the development of various applications in the medical, security, sports, and fitness domains to improve the overall outcome. Among many available technologies, two emerging technolog...

The design changes on the physical (PHY) layer, i.e. the limited system bandwidth of one physical resource block (PRB), single antenna support, lower-order modulations, etc. inhibit the mapping of traditional long term evolution (LTE) radio resource management techniques to narrowband internet of things (NB-IoT) systems. Consequently, possible inte...

A dynamic slot allocation scheme using non-overlapping contention windows is presented in this paper to improve the utilization of the IEEE 802.15.6 Wireless Body Area Network (WBAN) superframe. Firstly, a Non Overlapping Backoff Algorithm (NOBA) that avoids inter-priority collisions due to backoff is presented. The results of this scheme are compa...

Existing public safety networks (PSNs) are not designed to cope with disasters such as terrorist attacks, consequently leading to long delays and intolerable response times. First responders’ life threats when accessing the attacked zone are more severe in comparison to other disasters and the accuracy of basic information such as the number of ter...

In an effort towards designing a batteryless Internet of Things (IoT) sensor node that is powered by miniaturized energy-harvesting source(s), we combine the techniques of transient computing, approximate computing, data and energy predictions so as to handle the unpredictable power shortages of the miniaturized energy harvesting sources and reduce...

This book constitutes the refereed post-conference proceedings of the 15th International Conference on Body Area Networks, BodyNets 2020, held in Tallinn, Estonia, in October 2020. The conference was held virtually due to the COVID-19 pandemic.The 15 papers presented were selected from 30 submissions and issue new technologies to provide trustable...

The use of Unmanned Aerial Vehicles (UAVs) as Aerial Base Station (ABSs) is emerging as an effective technique to provide high capacity wireless networks to ground users. In this paper, cell coverage of a low altitude UAV is investigated for supporting such networks. An analytical framework for cell coverage area of an ABS is provided for Suburban,...

This chapter presents an insight into the narrowband Internet of Things (NB‐IoT), a cellular technology for enabling massive machine type communications such as automation in Industry. It provides an overview of NB‐IoT with respect to industrial automation. The chapter highlights the design of NB‐IoT to fulfil the intended objective, namely flexibl...

Manual detection of small uncalcified pulmonary nodules (diameter <4 mm) in thoracic computed tomography (CT) scans is a tedious and error‐prone task. Automatic detection of disperse micronodules is, thus, highly desirable for improved characterization of the fatal and incurable occupational pulmonary diseases. Here, we present a novel computer‐ass...

Device-to-device (D2D) can be a key paradigm to design Pervasive Public safety Networks (PPNs) which could allow the User Equipment (UEs) to communicate directly in disaster scenarios. Recently, the use of Unmanned Aerial Vehicles (UAVs) has been suggested in PSNs to enhance situational awareness and disseminate critical information to the deployed...

Narrowband internet of things (NB-IoT) is a recent cellular radio access technology based on Long-Term Evolution (LTE) introduced by Third-Generation Partnership Project (3GPP) for Low-Power Wide-Area Networks (LPWAN). The main aim of NB-IoT is to support massive machine-type communication (mMTC) and enable low-power, low-cost, and low-data-rate co...

Narrowband Internet of Things (NB-IoT) is a recent cellular radio access technologybased on Long-Term Evolution (LTE) introduced by Third-Generation Partnership Project (3GPP)for Low-Power Wide-Area Networks (LPWAN). The main aim of NB-IoT is to support themassive machine-type communication (mMTC) and enable low-power, low-cost, and low-data-rateco...

Narrowband Internet of Things (NB-IoT) is a recent cellular radio access technology based on Long-Term Evolution (LTE) introduced by Third-Generation Partnership Project (3GPP) for Low-Power Wide-Area Networks (LPWAN). The main aim of NB-IoT is to support the massive machine-type communication (mMTC) and enable low-power, low-cost, and low-data-rat...

Narrowband Internet of Things (NB-IoT) is a recent cellular radio access technology based on Long-Term Evolution (LTE) introduced by Third-Generation Partnership Project (3GPP) for Low-Power Wide-Area Networks (LPWAN). The main aim of NB-IoT is to support massive machine-type communication (mMTC) and enable low-power, low-cost, and low-data-rate co...

Device-to-device (D2D) can be a key paradigm to design Pervasive Public safety Networks (PPNs) which could allow the User equipments (UEs) to communicate directly in disaster scenarios. Recently, the use of Unmanned Aerial Vehicles (UAVs) has been suggested in PSNs to enhance situational awareness and disseminate critical information to the deploye...

uRLLC (ultra-Reliable Low Latency Communications) requires a new paradigm in 5G cellular networks to satisfy extreme latency and reliability thresholds. Further, such constraints have a wide range due to different use case scenarios. Consequently, how to configure suitable radio frame structure that matches to the latency and reliability requiremen...

uRLLC (ultra-Reliable Low Latency Communications) requires a new paradigm in 5G cellular networks to satisfy extreme latency and reliability thresholds. Further, such constraints have a wide range due to different use cases cenarios. Consequently, how to configure suitable radio frame structure that matches to the latency and reliability requiremen...

The development of DORM (integrateD cOmpact naRrowband platforM) node is presented that combines low cost and low power components in a multi-layer architecture to support versatile NB-IoT applications. In our proposed DORM node, the processing component provides an interface to a variety of sensors and the radio component provides connectivity to...

NB-IoT is a promising cellular technology for enabling low cost, low power, long-range connectivity to IoT devices. With the bandwidth requirement of 180 kHz, it provides the flexibility to deploy within the existing LTE band. However, this raises serious concerns about the performance of the technology due to severe interference from multi-tier 5G...

In the context of green communication and energy-efficiency in wireless communication, this paper investigates distributed estimation algorithms in an energy-constrained wireless sensor network and proposes an energy-efficient distributed leader selection algorithm. The existing state-of-the-art diffusion algorithm and the recently introduced distr...

IEEE 802.15.6 is a Wireless Body Area Network (WBAN) standard proposed to facilitate the exponentially growing interest in the field of health monitoring. This standard is flexible and outlines multiple basic Medium Access Control (MAC) protocols that are contention based and collision free to meet the WBAN Quality of Service (QoS) challenges. Typi...

In this work, we investigate the possibility of employing sparse reconstruction framework for the separation of cardiac and respiratory signal components from the bioimpedance measurements. The signal decomposition is complicated by the nonstationarity of the signal and overlapping of their spectra. The signal has a harmonic structure, which is spa...

In the past decade, the energy needs in WBANs have increased due to more information to be processed, more data to be transmitted and longer operational periods. On the other hand, battery technologies have not improved fast enough to cope with these needs. Thus, miniaturized energy harvesting technologies are increasingly used to complement the ba...

Over the last decades, research and development in energy harvesting significantly changed the traditional way of powering electronic devices, as exemplified by the emergence of battery-less wireless sensor nodes. In contrast to existing works that consider energy prediction and transient computing separately, we present a novel approach for the jo...

The vision of Internet of Things (IoT) is to enable systems across the globe to share data using advanced communication technologies. With the recent technological advancements, IoT-based solutions are no longer a challenging vision. IoT will offer numerous, and potentially revolutionary, benefits to today’s digital world. Future personalized and c...

Narrowband Internet of Things (NB-IoT) is the prominent technology that fits the requirements of future Internet of Things (IoT) networks. However, due to the limited spectrum (i.e., 180 kHz) availability for NB-IoT systems, one of the key issues is how to efficiently use these resources to support massive IoT devices? Furthermore, in NB-IoT, to re...

Unmanned aerial vehicles (UAVs) have become widely available and their potential unlawful usage introduces new security risks. It has therefore become highly desirable to restrict the unauthorized usage of UAVs in certain areas such as airports, nuclear power plants, etc. Most commercially available UAVs rely on spread spectrum techniques, such as...

Device to device (D2D) communication has attracted enormous attention for future cellular networks which helps to increase the cellular capacity, improve the user throughput, and extend the battery lifetime of user equipments (UEs) by reusing the spectrum resources. However, D2D devices provide interferences in the system while reusing the resource...

In future remote healthcare monitoring system, it is necessary to constantly monitor the patients physiological parameters. For example, a pregnant woman parameters such as blood pressure and heart rate of the woman and heart rate and movements of fetal to control their health condition. To support the high-intensity and short-lived demands of thes...

In the context of wireless sensor networks, energy prediction models are increasingly useful tools that can facilitate the power management of the wireless sensor network (WSN) nodes. However, most of the existing models suffer from the so-called fixed weighting parameter, which limits their applicability when it comes to, e.g., solar energy harves...