A5018097709- Caching and Content Delivery
- Advanced Data Storage Technologies
- Parallel Computing and Optimization Techniques
- Distributed and Parallel Computing Systems
- Cloud Computing and Resource Management
- ECG Monitoring and Analysis
- Earthquake Detection and Analysis
- Seismology and Earthquake Studies
- Liver Disease Diagnosis and Treatment
- Underwater Vehicles and Communication Systems
- Indoor and Outdoor Localization Technologies
- Alcohol Consumption and Health Effects
- Hepatitis C virus research
- Seismic Waves and Analysis
- Liver Disease and Transplantation
- Non-Invasive Vital Sign Monitoring
- Peer-to-Peer Network Technologies
- Optical Network Technologies
- Metaheuristic Optimization Algorithms Research
- Biometric Identification and Security
- Hepatocellular Carcinoma Treatment and Prognosis
- EEG and Brain-Computer Interfaces
- Interconnection Networks and Systems
- Speech and Audio Processing
- Context-Aware Activity Recognition Systems
Universidad San Francisco de Quito
2005-2025
Escuela Politécnica del Ejército
2015-2024
Hospital Geral de Bonsucesso
2023
Escuela Politécnica Javeriana del Ecuador
2023
Hospital Vozandes
2023
Rutgers, The State University of New Jersey
2000-2005
Instituto Politécnico Nacional
2005
Rutgers Sexual and Reproductive Health and Rights
2003
Universidade Federal do Rio de Janeiro
1997-2003
Universidad UTE
1970
In this paper we address power conservation for clusters of workstations or PCs. Our approach is to develop systems that dynamically turn cluster nodes on – be able handle the load imposed system efficiently and off save under lighter load. The key component our an algorithm makes balancing unbalancing decisions by considering both total performance implications turning off. implemented in two different ways: (1) at application level a cluster-based, localityconscious network server; (2)...
Diabetic retinopathy is a common eye disease in diabetic patients and the main cause of blindness population. Early detection protects from losing their vision. Thus, this paper proposes computer-assisted diagnosis based on digital processing retinal images order to help people detecting advance. The goal automatically classify grade non-proliferative at any image. For that, an initial image stage isolates blood vessels, microaneurysms hard exudates extract features that can be used by...
The previous research on cluster-based servers has focused homogeneous systems. However, real-life clusters are almost invariably heterogeneous in terms of the performance, capacity, and power consumption their hardware components. In this paper, we argue that designing efficient for requires defining an efficiency metric, modeling different types nodes with respect to searching request distributions optimize metric. To concretely illustrate process, design a cooperative Web server cluster...
In this paper we study four approaches to conserving disk energy in high-performance network servers. The first approach is leverage the extensive work on laptop disks and power down during periods of idleness. second replace with a set lower that can achieve same performance reliability. third combine disks, such only one these two sets powered at time. This requires mirroring (and coherence) all data disks. Finally, fourth use multi-speed each slowed for consumption light load. We...
This paper proposes and evaluates an approach for power performance management in virtualized server clusters. The major goal of our is to reduce consumption the cluster while meeting requirements. contributions this are: (1) a simple but effective way modeling capacity servers even under heterogeneous changing workloads, (2) optimization strategy based on mixed integer programming model achieving improvements power-efficiency providing guarantees cluster. In model, we address application...
In this paper we study four approaches to conserving disk energy in high-performance network servers. The first approach is leverage the extensive work on laptop disks and power down during periods of idleness. second replace with a set lower that can achieve same performance reliability. third combine disks, such only one these two sets powered at time. This requires mirroring (and coherence) all data disks. Finally, fourth use multi-speed each slowed for consumption light load. We...
Geophysics experts are interested in understanding the behavior of volcanoes and forecasting possible eruptions by monitoring detecting increment on volcano-seismic activity, with aim safeguarding human lives material losses. This paper presents an automatic volcanic event detection classification system, which considers feature extraction selection stages, to reduce processing time toward a reliable real-time volcano early warning system (RT-VEWS). We built proposed approach terms...
The main benefits of fuzzy logic control (FLC) allow a qualitative knowledge the desired system’s behavior to be included as IF-THEN linguistic rules for dynamical systems where either an analytic model is not available or too complex due, instance, presence nonlinear terms. computational structure requires definition FLC parameters namely, membership functions (MF) and rule base (RB) defining policy. However, optimization generally carried out by means trial error procedure or, more...
Clusters of commodity computers are currently being used to provide the scalability required by several popular Internet services. In this paper we evaluate an efficient cluster-based WWW server, as a function characteristics intra-cluster communication architecture. More specifically, impact processor overhead, network bandwidth, remote memory writes, and zero-copy data transfers on performance our server. Our experimental results with 8-node cluster four real traces show that bandwidth...
Target detection is one of the most important applications radar systems. However, task processing echoed signals to determine whether a valid target exists, or if it just noise, not simple. Constant false alarm rate detectors have traditionally been used in processors using classical hypothesis testing methods, and moving indicator (MTI) detector (MTD) algorithms discriminate targets from clutter (i.e., unwanted noise). On other hand, machine learning research has significantly improved...
Efficiency and portability are conflicting objectives for cluster-based network servers that distribute the clients' requests across cluster based on actual content requested. Our work is observation this efficiency vs. tradeoff has not been fully evaluated in literature. To fill gap, paper we use modeling experimentation to study context of an interesting class content-based servers, locality-conscious under different inter-node communication subsystems. Based our results, main conclusion...
TCP Server is a system architecture aiming to offload network processing from the host(s) running an Internet server. The can be executed on dedicated processor, node, or intelligent interface using lowoverhead, non-intrusive communication between it and server application. In this paper, we present evaluate two implementations of architecture: (1) processors symmetric multiprocessor (SMP) (2) nodes cluster-based built around memory-mapped interconnect. We have quantified impact offloading...
Wireless sensor networks have attracted a lot of attention due to their wide variety applications, ranging from inventory management battlefield surveillance. In most cases, an accurate time synchronization the nodes is essential provide common reference and facilitate coordinated actions. However, important challenges arise when network are clocked by low-cost, low-stability oscillators, besides suffering strong power consumption computational capacity constraints. addition, wireless...
Extensive research has been conducted in an effort to evaluate methods and techniques for image segmentation. However, while most literature focused on evaluating automatic semi-automatic algorithms, works interactive segmentation algorithms are less numerous. Note that can improve results by adding prior knowledge from users into the process. Although this user guidance improves results, it also makes difficult conduct objective evaluations. For reason, some only present non-canonical In...
The correct classification of several types volcanic events can be used to determine the intrinsic behavior a volcano. This information could useful provide an early alarm in case imminent activity. Therefore, finding efficient algorithm capable identifying seismic activity beneficial for this purpose. In such sense, work evaluates machine learning techniques, that have been previously applied classify events, taking into account quality and performance parameters. order test algorithms,...
Water quality measurements in rivers are usually performed at intervals of days or months monitoring campaigns, but little attention has been paid to the spatial and temporal dynamics those measurements. In this work, we propose scrutinizing scope limitations state-of-the-art interpolation methods aiming estimate spatio-temporal (in terms trends structures) relevant variables for water analysis taken rivers. We used a database with several from Machángara River between 2002 2007 provided by...
The causes of ventricular fibrillation (VF) are not yet elucidated, and it has been proposed that different mechanisms might exist. Moreover, conventional analysis methods do seem to provide time or frequency domain features allow for recognition VF patterns in electrode-recorded biopotentials. present work aims determine whether low-dimensional latent spaces could exhibit discriminative conditions during episodes. For this purpose, manifold learning using autoencoder neural networks was...
The growing energy demand around the world has increased usage of renewable sources (RES) such as photovoltaic and wind energies. combination traditional power systems RESs generated diverse problems due especially to stochastic nature RESs. Microgrids (MG) arise address these types increase penetration RES utility network. A microgrid includes an management system (EMS) operate its components efficiently. objectives pursued by EMS are usually economically related minimizing operating costs...
Micro-earthquakes are frequently associated with volcanic activity and vital indicators of processes. These minor seismic events occur within or near systems, yielding valuable insights into subsurface activities. Geologists meticulously record analyze these to monitor volcanoes forecast eruptions. While recent years have seen several studies proposing automated detection classification systems events, approaches based on Manifold Learning techniques could be beneficial in terms information...