35 resultados para Special Sympoisum Real-time Modeling Projects and Case Studies
Resumo:
A flood warning system incorporates telemetered rainfall and flow/water level data measured at various locations in the catchment area. Real-time accurate data collection is required for this use, and sensor networks improve the system capabilities. However, existing sensor nodes struggle to satisfy the hydrological requirements in terms of autonomy, sensor hardware compatibility, reliability and long-range communication. We describe the design and development of a real-time measurement system for flood monitoring, and its deployment in a flash-flood prone 650 km2 semiarid watershed in Southern Spain. A developed low-power and long-range communication device, so-called DatalogV1, provides automatic data gathering and reliable transmission. DatalogV1 incorporates self-monitoring for adapting measurement schedules for consumption management and to capture events of interest. Two tests are used to assess the success of the development. The results show an autonomous and robust monitoring system for long-term collection of water level data in many sparse locations during flood events.
Resumo:
Factor forecasting models are shown to deliver real-time gains over autoregressive models for US real activity variables during the recent period, but are less successful for nominal variables. The gains are largely due to the Financial Crisis period, and are primarily at the shortest (one quarter ahead) horizon. Excluding the pre-Great Moderation years from the factor forecasting model estimation period (but not from the data used to extract factors) results in a marked fillip in factor model forecast accuracy, but does the same for the AR model forecasts. The relative performance of the factor models compared to the AR models is largely unaffected by whether the exercise is in real time or is pseudo out-of-sample.
Resumo:
Autism spectrum conditions (autism) affect ~1% of the population and are characterized by deficits in social communication. Oxytocin has been widely reported to affect social-communicative function and its neural underpinnings. Here we report the first evidence that intranasal oxytocin administration improves a core problem that individuals with autism have in using eye contact appropriately in real-world social settings. A randomized double-blind, placebo-controlled, within-subjects design is used to examine how intranasal administration of 24 IU of oxytocin affects gaze behavior for 32 adult males with autism and 34 controls in a real-time interaction with a researcher. This interactive paradigm bypasses many of the limitations encountered with conventional static or computer-based stimuli. Eye movements are recorded using eye tracking, providing an objective measurement of looking patterns. The measure is shown to be sensitive to the reduced eye contact commonly reported in autism, with the autism group spending less time looking to the eye region of the face than controls. Oxytocin administration selectively enhanced gaze to the eyes in both the autism and control groups (transformed mean eye-fixation difference per second=0.082; 95% CI:0.025–0.14, P=0.006). Within the autism group, oxytocin has the most effect on fixation duration in individuals with impaired levels of eye contact at baseline (Cohen’s d=0.86). These findings demonstrate that the potential benefits of oxytocin in autism extend to a real-time interaction, providing evidence of a therapeutic effect in a key aspect of social communication.
Resumo:
Wireless Senor Networks(WSNs) detect events using one or more sensors, then collect data from detected events using these sensors. This data is aggregated and forwarded to a base station(sink) through wireless communication to provide the required operations. Different kinds of MAC and routing protocols need to be designed for WSN in order to guarantee data delivery from the source nodes to the sink. Some of the proposed MAC protocols for WSN with their techniques, advantages and disadvantages in the terms of their suitability for real time applications are discussed in this paper. We have concluded that most of these protocols can not be applied to real time applications without improvement
Resumo:
Purpose – The purpose of this study is to examine the use of accrual-based vs real earnings management (EM) by Greek firms, before and after the mandatory adoption of International Financial Reporting Standards (IFRS). The research is motivated by the fact that past studies have indicated the existence of significant levels of EM for Greece in particular before IFRS. Design/methodology/approach – Accrual-based earnings management (AEM) is examined by assessing performance-adjusted discretionary accruals, while real earnings management (REM) is defined in terms of abnormal levels of production costs, discretionary expenses, and cash flows from operations, for a three-year period before and after the adoption of IFRS in 2005. Findings – The authors find evidence on a statistically significant shift from AEM to REM after the adoption of IFRS, indicating the replacement of one form of EM with the other. Research limitations/implications – The validity of the results depends on the ability of the empirical models used to efficiently capture the existence of AEM and REM. Practical implications – IFRS adoption aims to improve accounting quality, especially in countries with high need for such an improvement; however, the tendency to substitute one form of EM with another highlights unintended consequences of IFRS adoption, which do not improve the informational content of financial statements if EM continues under different forms. Originality/value – Under the expectation that IFRS adoption should lead to improvements in accounting quality, this study examines whether IFRS actually led to a reduction of EM practices for a country with exceptionally high levels of EM before IFRS, by accounting for all possible forms of EM.