494 resultados para Offline programing


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This editorial provides an overview of the themes of network governance and content regulation that are expanded upon in the subsequent articles, identifying key issues and concerns that are prevalent in the literature in this field. In particular, this text considers governance not as an Internet-specific phenomenon, but as a global phenomenon, identifying and discussing literature pertaining to governance both online and offline, and providing examples of theories that seek to explain these forms of governance. Focusing on the interaction between public and private actors in content regulation, this editorial highlights that content regulation is a complex and contested issue that cannot be separated from its social and cultural contexts, and provides an overview of the articles contained.

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Background: Recent morpho-functional evidence pointed out that abnormalities in the thalamus could play a major role in the expression of migraine neurophysiological and clinical correlates. Whether this phenomenon is primary or secondary to its functional disconnection from the brainstem remains to be determined. We used a Functional Source Separation algorithm of EEG signal to extract the activity of the different neuronal pools recruited at different latencies along the somatosensory pathway in interictal migraine without aura (MO) patients. Methods: Twenty MO patients and 20 healthy volunteers (HV) underwent EEG recording. Four ad-hoc functional constraints, two sub-cortical (FS14 at brainstem and FS16 at thalamic level) and two cortical (FS20 radial and FS22 tangential parietal sources), were used to extract the activity of successive stages of somatosensory information processing in response to the separate left and right median nerve electric stimulation. A band-pass digital filter (450-750 Hz) was applied offline in order to extract high-frequency oscillatory (HFO) activity from the broadband EEG signal. Results: In both stimulated sides, significant reduced sub-cortical brainstem (FS14) and thalamic (FS16) HFO activations characterized MO patients when compared with HV. No difference emerged in the two cortical HFO activations between the two groups. Conclusions: Present results are the first neurophysiological evidence supporting the hypothesis that a functional disconnection of the thalamus from the subcortical monoaminergic system may underline the interictal cortical abnormal information processing in migraine. Further studies are needed to investigate the precise directional connectivity across the entire primary subcortical and cortical somatosensory pathway in interictal MO. Written informed consent to publication was obtained from the patient(s).

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This paper proposes an in situ diagnostic and prognostic (D&P) technology to monitor the health condition of insulated gate bipolar transistors (IGBTs) used in EVs with a focus on the IGBTs' solder layer fatigue. IGBTs' thermal impedance and the junction temperature can be used as health indicators for through-life condition monitoring (CM) where the terminal characteristics are measured and the devices' internal temperature-sensitive parameters are employed as temperature sensors to estimate the junction temperature. An auxiliary power supply unit, which can be converted from the battery's 12-V dc supply, provides power to the in situ test circuits and CM data can be stored in the on-board data-logger for further offline analysis. The proposed method is experimentally validated on the developed test circuitry and also compared with finite-element thermoelectrical simulation. The test results from thermal cycling are also compared with acoustic microscope and thermal images. The developed circuitry is proved to be effective to detect solder fatigue while each IGBT in the converter can be examined sequentially during red-light stopping or services. The D&P circuitry can utilize existing on-board hardware and be embedded in the IGBT's gate drive unit.

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Az online marketingről sokan elsősorban az interneten fellelhető új kommunikációs eszközökre asszociálnak, ugyanakkor elfeledkeznek arról, hogy az új médium mind az árazás, mind értékesítési csatornapolitika területén számos új lehetőséget, és egyben kihívást is jelent a vállalatok számára. Online környezetben egészen más fogyasztói magatartásmintákat követhetnek a potenciális ügyfelek, vásárlók, amely eltérő megközelítéseket igényelnek a cégek részéről. Kérdés azonban, hogy a sok különbözőség ellenére lehetséges-e az új csatorna integrációja az eddig működtetett értékesítési csatornákkal, egyáltalán kell-e integrálni? Az tanulmány megkísérli bemutatni azokat a stratégiai irányokat, amelyeket a többcsatornás értékesítési rendszereket működtető vállalatok követhetnek, és azonosítani az ezekkel együtt járó problémákat. / === / Online marketing is widely viewed as a new communication tool on the internet, and many times it is neglected that this channel provides a range of opportunities and, at the same time, challenges regarding pricing and sales for companies. In the online environment consumers can show quite different behaviour patterns from the ones in the offline context and it can require different approach from companies. The diverse characteristics of the internet, however, raise the question if it is possible to integrate the new channel with the existing ones? Moreover, is it necessary at all? The paper attempts to determine and present the possible strategic directions that a company can follow when applying multi-channel marketing, and identify the barriers to implement them successfully.

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Understanding online price acceptance and its determining factors can be essential if the companies try to manage different type of channels. The paper aimed to reveal the role of enduring involvement in price acceptance in a multichannel (online and offline) context. The study revealed that the hedonic value of shopping can increase the negative intention of price acceptance in the online channel, but also explored that for the segment without shopping motivations a similar price level can be applied both in the online and in the offline environment.

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The nation's freeway systems are becoming increasingly congested. A major contribution to traffic congestion on freeways is due to traffic incidents. Traffic incidents are non-recurring events such as accidents or stranded vehicles that cause a temporary roadway capacity reduction, and they can account for as much as 60 percent of all traffic congestion on freeways. One major freeway incident management strategy involves diverting traffic to avoid incident locations by relaying timely information through Intelligent Transportation Systems (ITS) devices such as dynamic message signs or real-time traveler information systems. The decision to divert traffic depends foremost on the expected duration of an incident, which is difficult to predict. In addition, the duration of an incident is affected by many contributing factors. Determining and understanding these factors can help the process of identifying and developing better strategies to reduce incident durations and alleviate traffic congestion. A number of research studies have attempted to develop models to predict incident durations, yet with limited success. ^ This dissertation research attempts to improve on this previous effort by applying data mining techniques to a comprehensive incident database maintained by the District 4 ITS Office of the Florida Department of Transportation (FDOT). Two categories of incident duration prediction models were developed: "offline" models designed for use in the performance evaluation of incident management programs, and "online" models for real-time prediction of incident duration to aid in the decision making of traffic diversion in the event of an ongoing incident. Multiple data mining analysis techniques were applied and evaluated in the research. The multiple linear regression analysis and decision tree based method were applied to develop the offline models, and the rule-based method and a tree algorithm called M5P were used to develop the online models. ^ The results show that the models in general can achieve high prediction accuracy within acceptable time intervals of the actual durations. The research also identifies some new contributing factors that have not been examined in past studies. As part of the research effort, software code was developed to implement the models in the existing software system of District 4 FDOT for actual applications. ^

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Background Sucralose has gained popularity as a low calorie artificial sweetener worldwide. Due to its high stability and persistence, sucralose has shown widespread occurrence in environmental waters, at concentrations that could reach up to several μg/L. Previous studies have used time consuming sample preparation methods (offline solid phase extraction/derivatization) or methods with rather high detection limits (direct injection) for sucralose analysis. This study described a faster and sensitive analytical method for the determination of sucralose in environmental samples. Results An online SPE-LC–MS/MS method was developed, being capable to quantify sucralose in 12 minutes using only 10 mL of sample, with method detection limits (MDLs) of 4.5 ng/L, 8.5 ng/L and 45 ng/L for deionized water, drinking and reclaimed waters (1:10 diluted with deionized water), respectively. Sucralose was detected in 82% of the reclaimed water samples at concentrations reaching up to 18 μg/L. The monthly average for a period of one year was 9.1 ± 2.9 μg/L. The calculated mass loads per capita of sucralose discharged through WWTP effluents based on the concentrations detected in wastewaters in the U. S. is 5.0 mg/day/person. As expected, the concentrations observed in drinking water were much lower but still relevant reaching as high as 465 ng/L. In order to evaluate the stability of sucralose, photodegradation experiments were performed in natural waters. Significant photodegradation of sucralose was observed only in freshwater at 254 nm. Minimal degradation (<20%) was observed for all matrices under more natural conditions (350 nm or solar simulator). The only photolysis product of sucralose identified by high resolution mass spectrometry was a de-chlorinated molecule at m/z 362.0535, with molecular formula C12H20Cl2O8. Conclusions Online SPE LC-APCI/MS/MS developed in the study was applied to more than 100 environmental samples. Sucralose was frequently detected (>80%) indicating that the conventional treatment process employed in the sewage treatment plants is not efficient for its removal. Detection of sucralose in drinking waters suggests potential contamination of surface and ground waters sources with anthropogenic wastewater streams. Its high resistance to photodegradation, minimal sorption and high solubility indicate that sucralose could be a good tracer of anthropogenic wastewater intrusion into the environment.

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The low-frequency electromagnetic compatibility (EMC) is an increasingly important aspect in the design of practical systems to ensure the functional safety and reliability of complex products. The opportunities for using numerical techniques to predict and analyze system's EMC are therefore of considerable interest in many industries. As the first phase of study, a proper model, including all the details of the component, was required. Therefore, the advances in EMC modeling were studied with classifying analytical and numerical models. The selected model was finite element (FE) modeling, coupled with the distributed network method, to generate the model of the converter's components and obtain the frequency behavioral model of the converter. The method has the ability to reveal the behavior of parasitic elements and higher resonances, which have critical impacts in studying EMI problems. For the EMC and signature studies of the machine drives, the equivalent source modeling was studied. Considering the details of the multi-machine environment, including actual models, some innovation in equivalent source modeling was performed to decrease the simulation time dramatically. Several models were designed in this study and the voltage current cube model and wire model have the best result. The GA-based PSO method is used as the optimization process. Superposition and suppression of the fields in coupling the components were also studied and verified. The simulation time of the equivalent model is 80-100 times lower than the detailed model. All tests were verified experimentally. As the application of EMC and signature study, the fault diagnosis and condition monitoring of an induction motor drive was developed using radiated fields. In addition to experimental tests, the 3DFE analysis was coupled with circuit-based software to implement the incipient fault cases. The identification was implemented using ANN for seventy various faulty cases. The simulation results were verified experimentally. Finally, the identification of the types of power components were implemented. The results show that it is possible to identify the type of components, as well as the faulty components, by comparing the amplitudes of their stray field harmonics. The identification using the stray fields is nondestructive and can be used for the setups that cannot go offline and be dismantled

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Launching centers are designed for scientific and commercial activities with aerospace vehicles. Rockets Tracking Systems (RTS) are part of the infrastructure of these centers and they are responsible for collecting and processing the data trajectory of vehicles. Generally, Parabolic Reflector Radars (PRRs) are used in RTS. However, it is possible to use radars with antenna arrays, or Phased Arrays (PAs), so called Phased Arrays Radars (PARs). Thus, the excitation signal of each radiating element of the array can be adjusted to perform electronic control of the radiation pattern in order to improve functionality and maintenance of the system. Therefore, in the implementation and reuse projects of PARs, modeling is subject to various combinations of excitation signals, producing a complex optimization problem due to the large number of available solutions. In this case, it is possible to use offline optimization methods, such as Genetic Algorithms (GAs), to calculate the problem solutions, which are stored for online applications. Hence, the Genetic Algorithm with Maximum-Minimum Crossover (GAMMC) optimization method was used to develop the GAMMC-P algorithm that optimizes the modeling step of radiation pattern control from planar PAs. Compared with a conventional crossover GA, the GAMMC has a different approach from the conventional one, because it performs the crossover of the fittest individuals with the least fit individuals in order to enhance the genetic diversity. Thus, the GAMMC prevents premature convergence, increases population fitness and reduces the processing time. Therefore, the GAMMC-P uses a reconfigurable algorithm with multiple objectives, different coding and genetic operator MMC. The test results show that GAMMC-P reached the proposed requirements for different operating conditions of a planar RAV.

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Oil exploration at great depths requires the use of mobile robots to perform various operations such as maintenance, assembly etc. In this context, the trajectory planning and navigation study of these robots is relevant, as the great challenge is to navigate in an environment that is not fully known. The main objective is to develop a navigation algorithm to plan the path of a mobile robot that is in a given position (

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Oil exploration at great depths requires the use of mobile robots to perform various operations such as maintenance, assembly etc. In this context, the trajectory planning and navigation study of these robots is relevant, as the great challenge is to navigate in an environment that is not fully known. The main objective is to develop a navigation algorithm to plan the path of a mobile robot that is in a given position (

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The Telehealth Brazil Networks Program, created in 2007 with the aim of strengthening primary care and the unified health system (SUS - Sistema Único de Saúde), uses information and communication technologies for distance learning activities related to health. The use of technology enables the interaction between health professionals and / or their patients, furthering the ability of Family Health Teams (FHT). The program is grounded in law, which determines a number of technologies, protocols and processes which guide the work of Telehealth nucleus in the provision of services to the population. Among these services is teleconsulting, which is registered consultation and held between workers, professionals and managers of healthcare through bidirectional telecommunication instruments, in order to answer questions about clinical procedures, health actions and questions on the dossier of work. With the expansion of the program in 2011, was possible to detect problems and challenges that cover virtually all nucleus at different scales for each region. Among these problems can list the heterogeneity of platforms, especially teleconsulting, and low internet coverage in the municipalities, mainly in the interior cities of Brazil. From this perspective, the aim of this paper is to propose a distributed architecture, using mobile computing to enable the sending of teleconsultation. This architecture works offline, so that when internet connection data will be synchronized with the server. This data will travel on compressed to reduce the need for high transmission rates. Any Telehealth Nucleus can use this architecture, through an external service, which will be coupled through a communication interface.

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This dissertation aims to analyze and understand the process and practices of political marketing strategies applied to social media facebook and twitter Cássio Cunha Lima - PSDB candidate for governor of Paraíba, in the 2014 elections The work is divided into three parts . The first two chapters, both of theoretical nature, underlie the discussion about the use of the Internet as a campaign space and political marketing campaign as well as the different communication strategies and electoral marketing already presented in the literature. Following, is dedicated to a topic for the presentation of the methodology and subsequently makes the discussion of empirical data analysis. Finally, we present the conclusions. The analysis takes as its starting point the models Figueiredo et al. (1998) and Albuquerque (1999) to observe the traditional strategies and suggests the inclusion of typically recorded on the Internet strategies. The methodology used for the analysis was the qualitative and quantitative content from variables that we list different campaign strategies. In order to achieve the purpose of this research, we conducted a case study as an analytical object online campaign Cássio Cunha Lima. The case study took place from the construction of a candidate's biographical and political profile, presented and discussed in the text. This research also made use of virtual ethnography. Therefore, were monitored social media facebook and twitter that political, with the help of image capture program - Greenshot by creating pre-defined categories of analysis, for example, calendar, prestige and support, negative campaign , engagement, among others. The period chosen for monitoring the candidate's official profiles was from 24 August to 28 October 2014, because it holds the pre, during and post-election where there was greater candidate drive level and his team marketing in social media selected for analysis. The results indicate that mobilization strategy (online and offline), merged with the promotion schedule, it is predominant in the social media Cassio. They also indicate that they do not show the failure of the campaign of the candidate in 2014.

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Nell’ultima decade abbiamo assistito alla transizione di buona parte dei business da offline ad online. Istantaneamente grazie al nuovo rapporto tra azienda e cliente fornito dalla tecnologia, molti dei metodi di marketing potevano essere rivoluzionati. Il web ci ha abilitato all’analisi degli utenti e delle loro opinioni ad ampio spettro. Capire con assoluta precisione il tasso di conversione in acquisti degli utenti fornito dalle piattaforme pubblicitarie e seguirne il loro comportamento su larga scala sul web, operazione sempre stata estremamente difficile da fare nel mondo reale. Per svolgere queste operazioni sono disponibili diverse applicazioni commerciali, che comportano un costo che può essere notevole da sostenere per le aziende. Nel corso della seguente tesi si punta a fornire una analisi di una piattaforma open source per la raccolta dei dati dal web in un database strutturato

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I sistemi BCI EEG-based sono un mezzo di comunicazione diretto tra il cervello e un dispositivo esterno il quale riceve comandi direttamente da segnali derivanti dall'attività elettrica cerebrale. Le features più utilizzate per controllare questi dispositivi sono i ritmi sensorimotori, ossia i ritmi mu e beta (8-30 Hz). Questi ritmi hanno la particolare proprietà di essere modulati durante l'immaginazione di un movimento generando così delle desincronizzazioni e delle sincronizzazioni evento correlate, ERD e ERS rispettavamente. Tuttavia i destinatari di tali sistemi BCI sono pazienti con delle compromissioni corticali e non sono sempre in grado di generare dei pattern ERD/ERS stabili. Per questo motivo, negli ultimi anni, è stato proposto l'uso di tecniche di stimolazione cerebrale non invasiva, come la tDCS, da abbinare al training BCI. In questo lavoro ci si è focalizzati sugli effetti della tDCS sugli ERD ed ERS neuronali indotti da immaginazione motoria attraverso un'analisi dei contributi presenti in letteratura. In particolare, sono stati analizzati due aspetti, ossia: i) lo studio delle modificazioni di ERD ed ERS durante (online) o in seguito (offline) a tDCS e ii) eventuali cambiamenti in termini di performance/controllo del sistema BCI da parte del soggetto sottoposto alla seduta di training e tDCS. Le ricerche effettuate tramite studi offline o online o con entrambe le modalità, hanno portato a risultati contrastanti e nuovi studi sarebbero necessari per chiarire meglio i meccanismi cerebrali che sottendono alla modulazione di ERD ed ERS indotta dalla tDCS. Si è infine provato ad ipotizzare un protocollo sperimentale per chiarire alcuni di questi aspetti.