In this paper, we report our experience in developing a temporal process for web multimedia applications. Multimedia is a general term for applications which make use of various information media, such as audio, video, animation, images and text in an integrated presentation. Systems which run such applications can be centralized or distributed. We identify the principal strengths and weaknesse...

OBJECTIVE Styloid process of temporal bone is clinically important, because variations in length, as well as the angulations of styloid process are associated with the symptoms of stylalgia (Eagle's syndrome) and the surgical excision of the process could alleviate neck and cervicofacial pain in patients. This study was aimed to evaluate the length, angulation and distance between bases and tip...

Bollerslev’s (1986) standard GARCH(1,1) model has been successful in the literature of volatility modelling and forecasting in the past two decades. Many of its extensions are contributed to examine the stylized features often observed with financial asset data. One of the distinct success is Bollerslev and Ghysels’ (1996) periodic GARCH model, which takes into account periodic variation in the...

SUMMARY Marginal mean models of temporal processes in event time data analysis are gaining more attention for their milder assumptions than the traditional intensity models. Recent work on fully functional temporal process regression (TPR) offers great flexibility by allowing all the regression coefficients to be nonparametrically time varying. The existing estimation procedure, however, preven...

This paper shows how automated abduction and induction can be used to infer logical process models from temporal observations of states and actions. The proposed method employs a non-monotonic learning system called eXtended Hybrid Abductive Inductive Learning (XHAIL) to learn domain axioms in a temporal logic programming formalism known as the Event Calculus (EC). The key benefit of this logic...

Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In the past, such systems have been limited to data sets that recorded change over time, but many interesting problems involve both spatial and temporal dynamics. To meet this challenge, we introduce SCISM, an integrated...

This paper deals with a prognosis method that is used in an operation support system. The role of prognosis in a supervisory system is analysed. Then, a supervision method based on trend analysis is explained. First the on line extraction of semi-qualitative episodes from a noisy signal is described. The method uses a segmentation algorithm, a classification of the segments into seven temporal ...

The proper handling of temporal process constraints is crucial in many application domains. Contemporary process-aware information systems (PAIS), however, lack a sophisticated support of time-aware processes. As a particular challenge, the execution of time-aware processes needs to be flexible as time can neither be slowed down nor stopped. Hence, it should be possible to dynamically adapt tim...

The monitoring of properties of complex software systems can provide the core functionality for detecting violations of such properties. However, the violations detection cannot be always sufficient for the preservation of the properties. Except for the detection, the explanations of the occurrence of a violation could play significant role for the preservation task. In particular, diagnosis ca...

Solar energy is an important source of renewable energy that can be harnessed using a range of evolving technologies such as solar heating, solar photovoltaic, solar thermal energy, solar architecture and artificial photosynthesis. The harnessed solar energy can be used in a wide range of applications like electricity production, fuel production, agriculture planning, water heating, transport, ...