301 research outputs found
A Clustering Strategy for Enhanced FL-Based Intrusion Detection in IoT Networks
The Internet of Things (IoT) is growing rapidly and so the need of ensuring
protection against cybersecurity attacks to IoT devices. In this scenario,
Intrusion Detection Systems (IDSs) play a crucial role and data-driven IDSs
based on machine learning (ML) have recently attracted more and more interest
by the research community. While conventional ML-based IDSs are based on a
centralized architecture where IoT devices share their data with a central
server for model training, we propose a novel approach that is based on
federated learning (FL). However, conventional FL is ineffective in the
considered scenario, due to the high statistical heterogeneity of data
collected by IoT devices. To overcome this limitation, we propose a three-tier
FL-based architecture where IoT devices are clustered together based on their
statistical properties. Clustering decisions are taken by means of a novel
entropy-based strategy, which helps improve model training performance. We
tested our solution on the CIC-ToN-IoT dataset: our clustering strategy
increases intrusion detection performance with respect to a conventional FL
approach up to +17% in terms of F1-score, along with a significant reduction of
the number of training rounds
EARLY IMPACT PROCEDURES FOR FLOOD EVENTSFEBRUARY 2007 MOZAMBIQUE FLOOD
Satellite images and GIS procedures are key elements for emergency management, especially in case of events hitting developing countries, more vulnerable to calamities and less prepared to face them. This article aims to show the procedure applied for the pro-duction of a cartography of flooded areas during the early impact phase; these activities are developed within ITHACA, centre of excellence, in charge of giving technological support to the WFP (World Food Programme), the biggest agency of the UN. The flood in
Mozambique, occurred in January 2007, is illustrated as an example of events management
Neoadjuvant platinum-based chemotherapy followed by radical hysterectomy for stage Ib2-IIb adenocarcinoma of the uterine cervix – An Italian multicenter retrospective study
Aplication of lean thinking in the order cycle to improve the level service provided to customers: a case study in a shoes industry company
The actual economic situation is the constant concern for all organizations. To make a company competitive on the market and render a better service to the clients, they use philosophies like lean, which is focus on eliminate the waste and added client value. This project aims to examine this philosophy in the order cycle process in a manufacturing company of components for shoes and the impacts that follow this process. Conducted as part of a case study, which was apply in the Value Stream Mapping to identify the current state of the process and a Survey with the clients of the company to measure the level of satisfaction to the service provided by the company, were developed basis proposals for improvements, as projecting the future with demand cycle. As a result, in a reduction of 55% of time and 97,5% is the distance on manufacturing process; and increase of 139,8% on value addition on demand cycle. These proposals show a good impact in the process order cycle in 15,95% related to the value-added process.
Ferricytochrome c Directly Oxidizes Aminoacetone to Methylglyoxal, a Catabolite Accumulated in Carbonyl Stress
Age-related diseases are associated with increased production of reactive oxygen and carbonyl species such as methylglyoxal. Aminoacetone, a putative threonine catabolite, is reportedly known to undergo metal-catalyzed oxidation to methylglyoxal, NH4+ ion, and H2O2 coupled with (i) permeabilization of rat liver mitochondria, and (ii) apoptosis of insulin-producing cells. Oxidation of aminoacetone to methylglyoxal is now shown to be accelerated by ferricytochrome c, a reaction initiated by one-electron reduction of ferricytochrome c by aminoacetone without amino acid modifications. the participation of O-2(center dot-) and HO center dot radical intermediates is demonstrated by the inhibitory effect of added superoxide dismutase and Electron Paramagnetic Resonance spin-trapping experiments with 5,5'-dimethyl-1-pyrroline-N-oxide. We hypothesize that two consecutive one-electron transfers from aminoacetone (E-0 values = -0.51 and -1.0 V) to ferricytochrome c (E-0 = 0.26 V) may lead to aminoacetone enoyl radical and, subsequently, imine aminoacetone, whose hydrolysis yields methylglyoxal and NH4+ ion. in the presence of oxygen, aminoacetone enoyl and O-2(center dot-) radicals propagate aminoacetone oxidation to methylglyoxal and H2O2. These data endorse the hypothesis that aminoacetone, putatively accumulated in diabetes, may directly reduce ferricyt c yielding methylglyoxal and free radicals, thereby triggering redox imbalance and adverse mitochondrial responses.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)INCT Processos Redox em Biomedicina (Brazil)Univ São Paulo, Dept Bioquim, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Bioquim & Biol Mol, São Paulo, BrazilUniversidade Federal de São Paulo, Inst Ciencias Ambientais Quim & Farmaceut, São Paulo, BrazilUniv São Paulo, Dept Fis & Informat, São Paulo, BrazilUniv Fed ABC, Ctr Ciencias Nat & Humanas, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Bioquim & Biol Mol, São Paulo, BrazilUniversidade Federal de São Paulo, Inst Ciencias Ambientais Quim & Farmaceut, São Paulo, BrazilWeb of Scienc
Pulsed FCAW of Martensitic Stainless Clads onto Mild Steel: Microstructure, Hardness, and Residual Stresses
The low carbon martensitic stainless AWS 410NiMo steel has in its chemical composition 13% chromium, 4% nickel, and 0.4% molybdenum (wt.%) and is used in turbine recovery, rotors, and high-pressure steam pump housings due to its resistance to impact at low temperatures, as well as to corrosion and cavitation. Those applications of the AWS 410NiMo steel frequently demand repair, which is performed by welding or cladding. Arc welding is a well-established technique for joining materials and presents several parameters that influence the mechanical performance of the weld bead. Although numerous welding processes exist, optimizing welding parameters for specific applications and materials is always challenging. The present work deals with a systematic study to verify the correlation between the pulsed fluxed core arc welding (FCAW) parameters, namely pulse current and frequency, welding speed, and contact tip work distance (CTWD), and the bead morphology, microstructure formation, residual stress, and hardness of the martensitic clad. The substrate used was the AISI 1020 steel, and the AWS 410NiMo steel was the filler metal for clad deposition. From the initial nine (9) samples, three (3) were selected for in-depth characterization. Lower heat input resulted in lower dilution, more elevated hardness, and lower compressive residual stresses. Therefore, the results highlight the need for selecting the proper heat input, even when using a pulsed FCAW procedure, to achieve the desired performance of the clad. In the present case, a higher heat input appears to be more advantageous owing to the lower convexity index, smooth hardness transition between fusion and heat-affected zones in addition to more elevated compressive stresses.Peer ReviewedPostprint (published version
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