
C. A. Valderrama SakuyamaUniversity of Mons · Department of Electronics and Microelectronics (SEMI)
C. A. Valderrama Sakuyama
Doctor
About
151
Publications
43,399
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,334
Citations
Introduction
Additional affiliations
September 2004 - present
September 2003 - September 2004
September 1998 - September 1999
Publications
Publications (151)
Drowsiness detection is crucial for ensuring the safety of individuals engaged in high-risk activities. Numerous studies have explored drowsiness detection techniques based on EEG signals, but these have typically been validated on computers, which limits their portability. In this paper, we introduce the design and implementation of a drowsiness d...
Drowsiness is a main factor for various costly defects, even fatal accidents in areas such as construction, transportation, industry and medicine, due to the lack of monitoring vigilance in the mentioned areas. The implementation of a drowsiness detection system can greatly help to reduce the defects and accident rates by alerting individuals when...
Modern railway auxiliary supply uses a Dual-Active-Bridge whose input voltage, subject to variations, is regulated by means of a front-end boost stage. With the aim of gaining weight and simplicity, this paper proposes to implement Triple-Phase-Shift modulation in order to maintain high performance when this front-end stage is removed. Analytical m...
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...
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...
Image processing is a vital task. Image processing is very useful in analyzing, detecting, surveillance systems, etc. The most challenging task in detection and surveillance systems is capturing and enhancing images during dark light. Nighttime low-illumination image enhancement is desired for outdoor computing vision applications. Nighttime image...
Convolutional Neural Networks (CNN) continue to dominate research in the area of hardware acceleration using Field Programmable Gate Arrays (FPGA), proving its effectiveness in a variety of computer vision applications such as object segmentation, image classification, face detection, and traffic signs recognition, among others. However, there are...
Traffic flow prediction is a basic aspect to be considered in transportation management and modeling. Attaining precise information on near and current traffic flows has an extensive range of appliances and it further aids in managing the congestion. Numerous conventional models failed at offering precise prediction results due to “shallow in archi...
Deep Neural Networks (DNNs) deployment for IoT Edge applications requires strong skills in hardware and software. In this paper, a novel design framework fully automated for Edge applications is proposed to perform such a deployment on System-on-Chips. Based on a high-level Python interface that mimics the leading Deep Learning software frameworks,...
The goal of this book chapter is to set the optimal safety possibility to use wearable biosensors for patient monitoring. This objective consists in minimizing the security risks by using the adequate methodology for working with personal sensitive data, anonymization and data analytics in the cloud. The possibilities of using data are to filter in...
Nowadays, Deep Learning DL becoming more and more interesting in many areas, such as genomics, security, data analysis, image, and video processing. However, DL requires more and more powerful and parallel computing. The calculation performed by super-machines equipped with powerful processors, such as the latest GPUs. Despite their power, these co...
This work proposes dedicated hardware for an intelligent control system on Field Programmable Gate Array (FPGA). The intelligent system is represented as Takagi-Sugeno Fuzzy-PI controller. The implementation uses a fully parallel strategy associated with a hybrid bit format scheme (fixed-point and floating-point). Two hardware designs are proposed;...
This chapter presents several aspects regarding IoT (Internet of Things) and communication technology synergies for remote services in healthcare for patients with higher risks that justify remote monitoring. According to STATISTICA studies, today there are around 26.66 billion IoT connected devices, and by 2025, the installed base of the IoT devic...
This work proposes dedicated hardware for an intelligent control system on Field Programmable Gate Array (FPGA). The intelligent system is represented as Takagi-Sugeno Fuzzy-PI controller. The implementation uses a fully parallel strategy associated with a hybrid bit format scheme (fixed-point and other floating-point). Two hardware designs are pro...
This chapter presents several perspectives of the smart dust mesh based on theInternet of Everything, Everywhere (IoEE). Smart dust surveillance finds application in military and security area (monitoring of people and products), in enhancing ambient interaction (for people with visual, motor, and auditory impairments), e-health monitoring, environ...
We need open platforms driven by specialists, in which queries can be created and collected for long periods and the diagnosis made based on a rigorous clinical follow-up. In this work, we developed a multi-language robot interface helping to evaluate the mental health of seniors by interacting through questions. Through the voice interface, the sp...
This book chapter presents several aspects regarding software and hardware vulnerabilities of the wearable medical devices, cyberattacks and security technologies for IoMWD, and cloud attacks. In the context of the increased confidence granted wearable devices for medical diagnosis or as a personal assistant for people with disabilities, a big prob...
This book chapter presents the main aspects concerning the sensor data fusion in the context of the Industrial Internet of Things Systems (IIoTS) for Industry 4.0. The industrial development based on advanced technologies such as rapid prototyping based on 3D printing (automotive, avionics, and electronics) or robotics acts as a critical enabler fo...
We need open platforms driven by specialists, in which queries can be created and collected for long periods and the diagnosis made, based on a rigorous clinical follow-up. In this work, we developed a multi-language robot interface helping to evaluate the mental health of seniors by interacting through questions. The specialist can propose questio...
Deep learning, the fastest growing segment of Artificial Neural Network (ANN), has led to the emergence of many machine learning applications and their implementation across multiple platforms such as CPUs, GPUs and reconfigurable hardware (Field-Programmable Gate Arrays or FPGAs). However, inspired by the structure and function of ANNs, large-scal...
The acquisition is the most time-consuming step performed by a Global Navigation Satellite System (GNSS) receiver. The objective is to detect which satellites are transmitting and what are the phase and Doppler frequency shift of the signal. It is the step with the highest computational complexity, especially for signals subjected to large Doppler...
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...
This chapter presents the convergent aspects of wireless body area network (WBAN) topology, energy efficiency, and medical constraints related to the interference between invasive or non-invasive wearable medical devices and the electromagnetic field emitted by other devices (aggregators, Bluetooth or ZigBee, smartphone). Wireless short-range perso...
The goal of this paper is to set the optimal safety usability for
wearable biosensors for patient monitoring. This objective consists in
minimizing the security risks by using the adequate methodology for working with personal sensitive data, anonymization and data analytics in cloud. The possibility of use the data is to filter data in private clo...
Dynamic Programming (DP) is used to solve combinatorial optimization problems and constitutes one of the 13 High Performance Computing (HPC) patterns. DP suffers from irregular, data-dependent memory accesses that deteriorates performance. The Knapsack 0/1 belongs to the simplest DP algorithms which is called Serial Monadic and has been treated in...
Power consumption reduction is crucial for portable equipments and for those in remote locations, whose battery replacement is impracticable. P\(^2\)IP is an architecture targeting real-time embedded image and video processing, which combines runtime reconfigurable processing, low-latency and high performance. Being a configurable architecture allo...
The chapter presents aspects regarding the use of wearable electronic sensors, embedded in clothing for monitoring the health of the elderly and active living. The main goal of using wearable electronics is to provide continued assistance to patients in critical situations outside hospitals. The objectives are ubiquitous monitoring, transmission an...
This special issue, "Cloud Computing for Enhanced Living Environments (ELEs)," aims to bring together state-of-the-art research efforts addressing advanced cloud computing challenges and solutions for realizing ELEs. The introduction discusses open issues in this area and briefly summarizes the feature articles.
This paper presents the test of skin electrical conductance (SC) in function of temperature and body physiology. It is known that the skin presents electrodermal response and becomes a good conductor of electricity when an external or internal stimulus occurs. For measuring the skin moisture and temperature we used humidity and temperature smart se...
This paper presents a new time-effective GPS acquisition algorithm that improves the Time to First Fix (TTFF) of hardware GPS receivers under power consumption or hardware constraints. Based on a modified Serial Search Acquisition Algorithm (SA), this enhanced alternative, called Reduced Two Steps Acquisition (RTSA), provides an average gain of 64....
Ndungidi Papy, Garcia Vazquez Hugo, Popov Grigory, Dualibe Fortunato, Valderrama Carlos, ”Multi-abstraction models for accelerating the design of RF systems” in ”9ème édition de la Matinée des Chercheurs 2016 (MdC2016)” , Valenciennes, France (2016)
This work presents the design of a temperature sensor in a 65nm CMOS technology, which is powered by harvesting the electromagnetic energy in the ISM frequency band (2.4GHz). The power consumption of the sensor was substantially reduced so that the energy required to operate could be stored in a 50µF external capacitor. The rectifier sensitivity ha...
The paper presents some aspects regarding data mining used modeling and prediction of the patients’ health state parameters. The proposed wearable device integrated by using wireless personal networks (WPNs) can sense, process and communicate vital signs through internet for healthcare monitoring. These WPNs are fitted for medical applications and...
High Performance Computing (HPC) systems currently integrate several resources such as multi-cores (CPUs), graphic processing units (GPUs) and reconfigurable logic devices, like Field Programmable Gate Arrays (FPGAs). The role of the latter two has traditionally being confined to act as secondary accelerators rather than as main execution units. We...
This paper presents a flexible architecture for a GPS receiver using Partial Reconfiguration (PR) on a System on Chip (SoC) device consisting on an FPGA and two ARM cores. With built-in error-correction techniques offered by modern SOCs, this device meets the requirements of a Brazilian nanosatellite for CONASAT constellation. This receiver benefit...
Branch-and-Bound (B&B) algorithms are one of the most employed techniques in optimization problems. Its complexity increases exponentially with problem size and features a challenging dynamic memory management caused by recursive processing. Most solutions focus on parallel branch evaluation in multi-core CPUs or GPUs. To the best of our knowledge,...
This article presents a refinement methodology for the global specification of RF receivers producing a detailed optimal specification of architectural components based on a genetic algorithm (GA) optimization. To demonstrate the reliability of our methodology, our approach has been applied to both the IEEE 802.15.4 and DVB-SH standards for optimiz...
The paper present aspects regarding importance of using cloud computing technology for big data processing from biosensors. The wireless sensors for personal area network have applications have been used in healthcare monitoring application. There are some limitations of wireless sensors in terms of memory, energy, computation, communication, scala...
The paper presents multisensor data fusion process and algorithm modeling. The multisensor system consists in a set of heterogeneous medical sensors for biomedical electronics. Multisensor data fusion is based on artificial intelligence, pattern recognition and statistical estimation. The goal of the modeling is to reduce uncertainty of the data va...
This paper presents a novel systolic Coarse-Grained Reconfigurable Architecture for real-time image and video processing called P2IP. The P2IP is a scalable architecture that combines the low-latency characteristic of systolic array architectures with a runtime reconfigurable datapath. Reconfigurability of the P2IP enables it to perform a wide rang...
With the increase in the number of cores in processor chips observed in recent years, design choices — such as the number of cores in chip, the amount of resources per core, and whether to design homogeneous or heterogeneous chips — need to be given proper support. Several studies on heterogeneous multi-core processors are concerned with performanc...
FPGA-based platforms allow implementing reconfigurable systems that can change functionality of portions of hardware at runtime. For this purpose, non-volatile, off-chip storage is required to hold the partial-configuration bitstreams that will be used for reconfiguration. Accessing such devices requires a high CPU usage or a dedicated hardware suc...
Dynamic partial reconfiguration (DPR) is a technique that optimizes resource utilization of SRAM-based FPGAs, since it allows changing, on the fly, the functionality of a portion of its logic. A common DPR development flow requires the use of, at least, a microprocessor and several development tools (EDK, XSDK, PlanAhead); moreover, proposals are m...
In FPGA-based control system design, partial reconfiguration is especially well suited to implement preemptive systems. In real-time systems, the deadline for critical task can compel the preemption of noncritical one. Besides, an asynchronous event can demand immediate attention and, then, force launching a reconfiguration process for high-priorit...
The evolution of wireless communication systems leads to Dynamic Spectrum Allocation for Cognitive Radio, which requires reliable spectrum sensing techniques. Among the spectrum sensing methods proposed in the literature, those that exploit cyclostationary characteristics of radio signals are particularly suitable for communication environments wit...
In FPGA-based control system design, partial reconfiguration is especially well-suited to implement preemptive systems. In real-time systems the deadline for critical task can compel the preemption of non-critical one. Besides, an asynchronous event can demand immediate attention and, then, force launching a reconfiguration process for high-priorit...
In this paper the fault-masking capability of N-modular redundancy systems synthesized into SRAM-based FPGAs is evaluated. In the proposed N-modular technique an original self-adaptive majority voter elects the outputs of the redundant modules. Experimentally evaluated neutron cross-section, area, and power consumption were analyzed for different n...
Sound source localization in real time can be employed in numerous applications such as filtering, beamforming, security system integration, etc. Algorithms employed in this field require not only fast processing speed but also enough accuracy to properly cope with the application requirements. This work presents accuracy benchmarks of a hybrid app...
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...
The development of a system for the automatic, objective, and reliable detection of cough events is a need underlined by the medical literature for years. The benefit of such a tool is clear as it would allow the assessment of pathology severity in chronic cough diseases. Even though some approaches have recently reported solutions achieving this t...
This paper presents a distributed hardware/software cosimulation environment for heterogeneous systems prototyping applied to an industrial application. The environment provides following features: distributed Hw/Sw cosimulation, automatic Hw/Sw interface generation, Hw elements can be described at different levels of abstraction and generic/specif...
Sound source localization algorithms are usually complex at the computational level, to the point that only
dedicated hardware architectures can meet the required realtime processing power. This paper analyses a previously proposed, single-source, location algorithm, which adapts in realtime its search spectrum, thus reducing its workload. The pro...
Multiple processors, microcontrollers, or DSPs have been used in embedded systems to distribute control and data flow according to the application at hand. The recent trends of incorporating multiple cores in the same chip significantly expands the processing power of such heterogeneous systems. However, these trends demand new ways of building and...
This book constitutes the proceedings of the 5th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2013. The 23 full papers presented were carefully selected from numerous submissions. The conference aims at enhancing the understanding of recent and anticipated advances in interactive technologies, and the...
Although research on algorithms for sound sources localization and tracking using microphone arrays are known for years, providing an interface to switch from one algorithm to the other is rather new. In this work we provide some drivers that will allow the Delay Sum Beamforming (DSB) algorithm to understand and interpret Generalized Cross Correlat...
In this paper, we present a FPGA based flexible self-adapting architecture for two features detectors, the Canny edge detector and the Harris corner detector, with reduced latency and memory requirements, and supporting variable resolution images. The new architecture uses neighbourhood extractors that can self-adapt its parameters on-the-fly and a...
Hardware accelerators have been used to ac-celerate various bioinformatics applications without altering
their accuracy. These accelerators are used to speed up so-phisticated algorithms where powerful computational tech-niques are used to analyse, simulate and estimate biological
data. These are hardware accelerators mostly made up of
Field Progra...
In this paper we present a novel approach to reduce the computation burden of a Field Programmable Gate Array based beamforming localization algorithm. This approach combines GCC (Generalize Cross Correlation) and DSB (Delay and Sum Beamforming). In this work, we reduce the position search spectrum by detecting the direction of arrival of the sound...
In this paper we present a novel approach to reduce the computation burden of a Field Programmable Gate Array based beamforming localization algorithm. This approach combines GCC (Generalize Cross Correlation) and DSB (Delay and Sum Beamforming). In this work, we reduce the position search spectrum by detecting the direction of arrival of the sound...