Multimodal learning analytics have become increasingly important in enabling a deeper understanding of teaching and learning in educational research. However, in comparison to other multimodal learning data, there is ...
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1 Introduction Traditional covert communication[1]usually relies on centralized channels,which are efficient in transmission but susceptible to eavesdropping and attacks,leading to information ***,distributed methods ...
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1 Introduction Traditional covert communication[1]usually relies on centralized channels,which are efficient in transmission but susceptible to eavesdropping and attacks,leading to information ***,distributed methods also exist,such as peer-to-peer networks and distributed hash *** technology,which is decentralized,anonymous,non-tamperable and anti-attack,can be applied to covert communication to solve the problems of traditional methods and improve the quality of communication.
In this paper we study the use of parallelism to speed up execution of Answer Set Programs (ASP). ASP is an emerging programming paradigm which combines features from constraint programming, logic programming, and non...
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Object-oriented (OO) software development techniques have gained in popularity as an attractive alternative to the traditional, structured development approach. Fundamental to the OO approach is the object, which bund...
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Object-oriented (OO) software development techniques have gained in popularity as an attractive alternative to the traditional, structured development approach. Fundamental to the OO approach is the object, which bundles data with associated operations in a self-contained unit. The inherently modular object provides an excellent mechanism for creating reusable, stable, and easily maintainable code. In this paper, we present an introduction to OO development;discuss the challenges of large, complex systems;and document the procedures we developed to meet these challenges for our project.
&ACE is a high performance parallel Prolog system developed at the Laboratory for Logic, Databases, and advanced programming that exploits and-parallelism from Prolog programs. &ACE was developed to exploit MI...
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&ACE is a high performance parallel Prolog system developed at the Laboratory for Logic, Databases, and advanced programming that exploits and-parallelism from Prolog programs. &ACE was developed to exploit MIMD parallelism. However, SPMD parallelism also arises naturally in many Prolog programs. In this paper we develop runtime techniques that allow systems that have primarily been designed to exploit MIMD parallelism (such as &ACE) to also efficiently exploit SPMD parallelism. These runtime techniques have been incorporated in the &ACE system. Performance of &ACE augmented with these techniques on programs containing SPMD parallelism is presented.
The optional public goods game (OPGG) is a three-strategy model in which individuals can cooperate, defect, or not participate. Despite its simplicity, this model effectively captures various social dilemmas, includin...
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The optional public goods game (OPGG) is a three-strategy model in which individuals can cooperate, defect, or not participate. Despite its simplicity, this model effectively captures various social dilemmas, including those involving public services, environmental sustainability, and broader societal issues. In this study, we investigate how the reward (r) and group size of potential players (S) of public goods games influence the steady-state coexistence of these strategies or the alternation of their dominance in a rock-paper-scissors dynamic. The OPGG is simulated using Monte Carlo in a nonspatial scenario, meaning there is no topology connecting the agents, allowing any player to interact with any other player. We show that under sufficiently noisy conditions, the system consistently evolves to an absorbing state, with the prevailing strategy determined by the values of r and S. In the range 2≤r≤S, the system shows multiple stable absorbing states, with groups of size S=4 exhibiting more pronounced and transient rock-paper-scissors dynamics with longer average absorbing times. We present a thorough analysis of our results in terms of the fraction of time the system spends in rock-paper-scissor cycles, the number of cycles, and the average probability that the system relaxes to each possible absorbing state, including scenarios where the system does not reach an absorbing state at all.
The left context in LR-based parsing is the sequence of states in the parsing stack. The right context is the vocabulary strings to appear for a given left context. We propose an efficient method of computing right co...
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The left context in LR-based parsing is the sequence of states in the parsing stack. The right context is the vocabulary strings to appear for a given left context. We propose an efficient method of computing right context for LR-based syntax error repair. The efficiency of our method is achieved from removing some redundancies in the method of previous work.
We extend static filtering in [8], a query optimization strategy based on seminaive evaluation on system graphs, so that it can efficiently handle stratified programs without extra overhead. The computation of static ...
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We extend static filtering in [8], a query optimization strategy based on seminaive evaluation on system graphs, so that it can efficiently handle stratified programs without extra overhead. The computation of static filters is formalized as a transformation so that the least fixed point of the transformation can be the static filters. The static filtering on stratified programs is shown to be complete with respect to the iterated fixed point semantics.
A syntactic error repair model is proposed, and is defined as a partial function from strings to sentences. The replacement of a substring of a string with a substring of a sentence is described by a repair pattern, w...
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A syntactic error repair model is proposed, and is defined as a partial function from strings to sentences. The replacement of a substring of a string with a substring of a sentence is described by a repair pattern, which is roughly a pair of strings of grammar symbols. The model can be efficient with some restriction on repair patterns. An LR-based implementation of the model is discussed.
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