Event notification services are used in various applications such as digital
libraries, stock tickers, traffic control, or facility management. However to
our knowledge, a common semantics of events in event notification services has
not been defined so far. We propose a parameterized event algebra which
describes the semantics of composite events for event notification systems. The
parameters ser... hiện toàn bộ
#Algebra #Logistics #Temperature sensors #Software libraries #Filtering #Database systems #Clocks
Chúng tôi giới thiệu một logic thời gian để lý luận về các ứng dụng toàn cầu.
Trước tiên, chúng tôi định nghĩa một logic mô-đun cho địa phương tính, nhúng các
lý thuyết địa phương của mỗi thành phần vào một lý thuyết về các trạng thái phân
tán của hệ thống. Chúng tôi cung cấp cho logic một hệ thống tiên đề đầy đủ và
chuyên sâu. Sau đó, chúng tôi mở rộng logic với một toán tử thời gian. Đóng góp
củ... hiện toàn bộ
#Logic #DSL #Đồng hồ #Giao tiếp bất đồng bộ #Ngôn ngữ đặc tả #Điện toán đồng thời #Điện toán phân tán #Trì hoãn #Điện toán phổ biến #Thư viện thời gian chạy
This paper describes a continuous planning framework to be used by a planning
agent situated within an environment, which reasons about goals with priorities
and deadlines, and actions with duration. The framework assumes that goals may
be generated continuously, which requires the interleaving of planning and
execution. Constraints upon time may mean it is not possible for all goals to be
achieve... hiện toàn bộ
The main key feature of temporal databases is to maintain all values taken by
object attributes over time. Since historical information may be needed at
different levels of detail, multigranular temporal databases have been
introduced, in which different attributes can be stored at different temporal
granularities. An important issue that has not been addressed, however is that
the required level ... hiện toàn bộ
Local search techniques have attracted considerable interest in the artificial
intelligence (AI) community since the development of GSAT (Selman et al., 1992)
and the min-conflicts heuristic (Minton et al., 1992) for solving large
propositional satisfiability (SAT) problems and binary constraint satisfaction
problems (CSPs) respectively. Newer SAT techniques, such as the Discrete
Langrangian Metho... hiện toàn bộ
We evaluate a model for temporal data utilizing the benefits of
object-relational database systems (ORDBS). In particular we show how attribute
timestamping can be efficiently implemented in state-of-the-art ORDBS. The
attribute timestamping concept is based on introducing user-specific types for
temporal versions of datatypes. Moreover on the physical level we make use of
user-defined index struc... hiện toàn bộ
#Object oriented modeling #Indexing #Spatial indexes #Relational databases #Information systems #Database systems #Data models #Spatial databases #Size measurement
We propose a logical approach to represent and reason about different time
granularities. We identify a time granularity as a discrete infinite sequence of
time points properly labelled with proposition symbols marking the starting and
ending points of the corresponding granules, and we intensively model sets of
granularities with linear time logic formulas. Some real-world granularities are
provi... hiện toàn bộ
Events employed in natural language semantics are characterized in terms of
regular languages, each string in which can be regarded as a motion picture. The
relevant finite automata then amount to movie cameras/projectors, or more
formally, to finite Kripke structures with partial valuations. The usual regular
constructs (concatenation, choice, etc) are supplemented with superposition of
strings/a... hiện toàn bộ
The disjunctive fuzzy temporal constraint network (DFTCN) model is a framework
that allows reasoning with fuzzy qualitative and quantitative complex temporal
constraints. However, its general complexity is exponential. In this work, we
review methods that can reduce this complexity, based on graph topology and
preprocessing. The final goal is to integrate all these methods into a general
tool for ... hiện toàn bộ
Time-series data, such as stock exchange rates and weather data, has widely been
used in many fields. Similarity search of time-series data is important because
it is useful for predicting data changes and searching for common sources. In
this paper, we propose a new similarity search method of time-series data using
both a discrete Fourier transform (DFT) and wavelet transform (WT). A method of
r... hiện toàn bộ