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Wyszukujesz frazę "event based" wg kryterium: Temat


Tytuł:
The role of structure of everyday life and type of prospective memory task in realization of individual intentions
Rola trybu życia i typu zadania prospektywnego w realizacji indywidualnych zamiarów
Autorzy:
Wójcik, Maria
Bąbel, Przemysław
Barnaś, Paulina
Niedźwieńska, Agnieszka
Opis:
The goal of conducted research was to analyse the functioning of prospective memory in daily life, depending on structure of everyday life and type of prospective memory task. Fifty people took part in Study 1, including students and working people with higher education. The respondents generated intentions for the next week, classed them as three types of intentions (event-based, time-based and activity-based), and then assessed performance of these intentions after a week. As expected, students planned more time-based prospective memory tasks than event-based and activity-based tasks. However, unexpectedly and contrary to the results of previous laboratory research, they performed better on time-based tasks compared to event-based tasks. In order to replicate the second unexpected finding, Study 2 was conducted in which 43 students took part. Similarly to Study 1, students handled time-based intentions better than event-based intentions. The results suggest that differences in the level of difficulty of three basic types ofprospective memory tasks that have been found in laboratory research, do not generalize to the realization of respondents’ individual intentions in everyday daily.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Effective Approach for Data Aggregation in Wireless Sensor Network: a Structure Free Approach
Autorzy:
Prasad, U.
Adane, D. S.
Tematy:
wireless sensor networks
throughput
delay
energy efficiency
protocols
event based
dynamic
Data Aggregation
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Wydawca:
Społeczna Akademia Nauk w Łodzi
Powiązania:
https://bibliotekanauki.pl/articles/108713.pdf  Link otwiera się w nowym oknie
Opis:
Wireless Sensor Network consist of thousands sensor node which have limited Power, Computation, Sensing and Communication capabilities. Among all operation of Sensor Node, Wireless Communication consumes most of the energy. So it is necessary to decrease the number of packets transmitted through the network. Many Sensor Node could detect similar event, which increases the overall bandwidth utilization to transmit redundant data. Here Nodes computation is cheaper than communication in terms of energy. So the technique of Data Aggregation is applied to summarize data which decreases the amount of data transmitted in the network, which in turn increases the lifetime of the network. Many Data aggregation protocols are based on a structured approach which is suitable for data collection application. But maintenance of the structure is an extra overhead and this approach is not suitable for dynamic scenario. So we propose an ad-hoc data aggregation protocol for dynamic scenario mainly event based application.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
How do the cognitive processes matter in the event-based preschoolers’ prospective memory?
Autorzy:
Szpakiewicz, Elżbieta
Stępień-Nycz, Małgorzata
Opis:
Background: Prospective memory (PM) is the ability to remember to perform an intended action at a specific future moment. The current study examined the impact of age, task focality, and cue salience on PM in children aged 2 to 6 years, based on the multiprocess theory of PM and the executive framework of PM development. Additionally, the study explored the relationship between various cognitive abilities and their association with PM performance. Methods: A total of 224 preschool-aged children, aged 2-6, engaged in event-based PM tasks with varying cognitive demands. The tasks were either focal or nonfocal, with salient or nonsalient cues. Additionally, individual differences in cognitive abilities were measured. Results: The results support previous indications that even very young children can successfully complete event-based PM tasks. The accuracy of PM display improved with age, especially between the ages of 3 and 4. Better performance was observed in focal PM tasks compared to nonfocal PM tasks. Additionally, preschoolers’ PM performance correlated with various cognitive abilities, including fluid intelligence, retrospective memory, inhibitory control, working memory, and language ability. These correlations varied depending on the child’s age and the task’s nature. For both focal and nonfocal PM tasks, cognitive abilities partially mediated the relationship between age and PM performance. Conclusion: In summary, this study comprehensively explores the specific roles played by age and fundamental cognitive abilities in event-based PM performance among preschool-aged children.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Predyktory wykonania zadań prospektywnych w życiu codziennym
Predictors for carrying out prospective tasks in everyday life
Autorzy:
Wójcik, Maria
Współwytwórcy:
Niedźwieńska, Agnieszka
Opis:
Prospective memory involves remembering previously intended actions at a particular time or in response to a particular target event, termed time-based and event-based prospective memory, respectively. The aim of the research was to find out how people manage to perform individual prospective memory tasks in their daily lives and to establish what predictors have an impact on their performance. It was particularly important to examine the impact of the type of a prospective memory task (time-based or event-based), lifestyle, the dominating affect, and stress. Another aim was to establish whether re-coding an intention, i.e., coding originally time-based intentions as event-based intentions and vice versa, has an impact on its fulfilment. The presentation of the research is preceded by the literature review on the predictors of prospective memory performance, separately for laboratory-based and naturalistic tasks. Two studies were carried out in the natural context. Study 1 (N = 129) involved measuring potential prospective memory predictors and a very detailed measurement of performance of real-life intentions that took into account punctuality and reasons for non-fulfilment. Study 2 (N = 39) involved the controlled manipulation of whether an intention was or was not re-coded as the other type of a prospective memory task. The basic procedure was similar in the two studies. Every day, over the period of 5 days, participants were listing their intentions for the following day, and indicating whether intentions were time-based or event-based. After each day, they were contacted to indicate whether they had actually performed the intended actions. All potential predictors of performance were also measured daily. In line with our expectations, the superior performance of event-based tasks over time-based tasks that had been predicted by the prospective memory theories and found in laboratory-based research was reversed for real-life intentions: time-based intentions were performed better. Performance was also better with more routinised life and more positive emotions experienced daily, whereas it was worse with higher levels of everyday stress. The importance of intentions and the use of memory aids were also positively related to fulfilment. Re-coding intentions did not increase their completion. Mechanisms underlying the performance of different types of prospective memory tasks in daily life and avenues for future research are discussed.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Książka
Tytuł:
Implementation of Distributed Hydrological Modeling in a Semi-Arid Mediterranean Catchment Azzaba, Morocco
Autorzy:
Abdelmounim, Bouadila
Benaabidate, Lahcen
Bouizrou, Ismail
Aqnouy, Mourad
Tematy:
semi-arid mediterranean context
flood forecasting
continuous modelling
event-based modelling
ATHYS platform
distributed SCS-LR model
Pokaż więcej
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:
https://bibliotekanauki.pl/articles/123743.pdf  Link otwiera się w nowym oknie
Opis:
The typical Mediterranean climate is marked at certain times of the year by sudden torrential rains causing high water flows, which leads to heavy flooding and hydroclimatic fluctuations due to a semi-arid climate. This explains the need for hydrological modeling for water resource management in these contexts. This work concerns the hydrological modeling of the Azzaba catchment area in Haut-Sebou “Morocco”. In the first part of this work, a bibliographic synthesis was carried out to characterize certain factors (physical, geological and climatic), and a hydrological study was carried out by processing rainfall and hydrometric data from the considered time periods. Ultimately, the use of the “ATHYS” platform is beginning to reproduce the flows at the Azzaba outlet. This model is really applicable in the semi-arid context based on several studies carried out on these contexts, since it has to consider the chronological sequence of phenomena on one hand and the influence of the climatic and physicalhydrogeological parameters of the basin (humidity and soil exchange) on the other. Several criteria were used in this study to estimate the model performance; the most common is Nash-Sutcliffe. After observation and analysis of the overall results, it can be concluded that the model reproduces flows in the Azzaba River watershed well, especially in event mode (mean Nash-Sutcliffe value of 0.71). The use of a historical meteorological time series to simulate flow using a daily time step gives average results with a Nash of 0.50, which strengthens the reliability of the ATHYS platform in the Mediterranean climate area.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Event Detection System for the Penitentiary Institutions using Multimodal Data and Deep Networks
Autorzy:
Bilski, Piotr
Lewandowski, Marcin
Bilski, Adrian
Buchowicz, Andrzej
Olejnik, Jacek
Mazurek, Paweł
Jędrzejewski, Konrad
Tematy:
deep learning
posture-based event detection
multimodal analysis
Pokaż więcej
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Instytut Informatyki Technicznej
Powiązania:
https://bibliotekanauki.pl/articles/59122866.pdf  Link otwiera się w nowym oknie
Opis:
The aim of the paper is to present the distributed system for the unwanted event detection regarding inmates in the closed penitentiary facilities. The system processes large number of data streams from IP cameras (up to 180) and performs the event detection using Deep Learning neural networks. Both audio and video streams are processed to produce the classification outcome. The application-specific data set has been prepared for training the neural models. For the particular event types 3DCNN and YOLO architectures have been used. The system was thoroughly tested both in the laboratory conditions and in the actual facility. Accuracy of the particular event detection is on the satisfactory level, though problems with the particular events have been reported and will be dealt with in the future.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Data-driven discharge analysis: a case study for the Wernersbach catchment, Germany
Autorzy:
Popat, Eklavyya
Kuleshov, Alexey
Kronenberg, Rico
Bernhofer, Christian
Tematy:
artificial neural networks
data-driven modelling
event-based coefficient of rainfall-runoff
precipitation
multi-correlation analysis
soil moisture content
Pokaż więcej
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/108441.pdf  Link otwiera się w nowym oknie
Opis:
This study focuses on precipitationdischarge data-driven models, with regression analysis between the weighted maximum rainfall and maximum discharge of flood events. It is also the first of its kind investigation for the Wernersbach catchment, which incorporates data-driven models in order to evaluate the suitability of the model in simulating the discharge from the catchment and provide good insights for future studies. The input parameters are hydrological and climate data collected from 2001 to 2009, including precipitation, rainfall-runoff and soil moisture. The statistical regression and artificial neural network models used are based on a data-driven multiple linear regression technique, and the same input parameters are applied for validation and calibration. The artificial neural network model has one hidden layer with a sigmoidal activation function and uses a linear activation function in the output layer. The artificial neural network is observed to model 0.7% and 0.5% of values, with and without extreme values respectively. With less than 1% error, the artificial neural network is observed to predict extreme events better compared to the conventional statistical regression model and is also better suited to the tasks of rainfall-runoff and flood forecasting. It is presumed that in the future this study’s conclusions would form the basis for more complex and detailed studies for the same catchment area.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling and control of discrete-event systems using petri nets and arduino microcontrollers
Autorzy:
Kučera, Erik
Haffner, Oto
Leskovský, Roman
Tematy:
hybrid system
Petri nets
microcomputer‐based control
motor
discrete event dynamic system
Pokaż więcej
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:
https://bibliotekanauki.pl/articles/1837370.pdf  Link otwiera się w nowym oknie
Opis:
The main aim of proposed article is the design of new software system for modelling and control of discrete‐event and hybrid systems using Arduino and similar microcontrollers. In this paper we propose a new tool. It is based on Petri nets and it is called PN2ARDUINO. It offers a capability of communication with the microcontroller. Communication with the microcontroller is based on modified Firmata protocol so control algorithm can be implemented on all microcontrollers that support this type of protocol. The developed software tool was successfully verified for control of laboratory systems. It can also be used for education and also for research purposes as it offers a graphical way for designing control algorithm for hybrid and mainly discrete‐event systems. Proposed tool can enrich education and practice in the field of cyberphysical systems (Industry 4.0).
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automatic installation of software-based fault tolerance algorithms in programs generated by GCC compiler
Autorzy:
Piotrowski, A.
Tematy:
kompilator GCC
single event upsets
GCC compiler
software based fault tolerance
Pokaż więcej
Wydawca:
Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
Powiązania:
https://bibliotekanauki.pl/articles/397833.pdf  Link otwiera się w nowym oknie
Opis:
The problem of designing radiation-tolerant devices working in application critical systems becomes very important especially if human life depends on the reliability of control mechanisms. One of the possible solution of this problem are pure software protection methods. They constitute different category of techniques to detect transient faults and correct corresponding errors. Software fault tolerance schemes are cheaper to implement since they can be used with standard, commercial of-the-shelf (COTS) components. Additionally, they do not require any hardware modification. In this paper, author propose a new implementation mechanism for software based fault protection algorithms performed automatically during application compilation.
Dostawca treści:
Biblioteka Nauki
Artykuł

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