Blocking the path from vagueness to four dimensionalism

There is a general form of an argument which I call the 'argument from vagueness' which attempts to show that objects persist by perduring, via the claim that vagueness is never ontological in nature and thus that composition is unrestricted. I argue that even if we grant that vagueness is always the result of semantic indeterminacy rather than ontological vagueness, and thus also grant that composition is unrestricted, it does not follow that objects persist by perduring. Unrestricted mereological composition lacks the power to ensure that there exist instantaneous objects that wholly overlap persisting objects at times, and thus lacks the power to ensure that there exists anything that could be called a temporal part. Even if we grant that such instantaneous objects exist, however, I argue that it does not follow that objects perdure. To show this I briefly outline a coherent version of three dimensionalism that grants just such an assumption. Thus considerations pertaining to the nature of vagueness need not lead us inevitably to accept perdurantism.

Expansion-based algorithms for finding single pair shortest path on surface

Finding single pair shortest paths on surface is a fundamental problem in various domains, like Geographic Information Systems (GIS) 3D applications, robotic path planning system, and surface nearest neighbor query in spatial database, etc. Currently, to solve the problem, existing algorithms must traverse the entire polyhedral surface. With the rapid advance in areas like Global Positioning System (CPS), Computer Aided Design (CAD) systems and laser range scanner, surface models axe becoming more and more complex. It is not uncommon that a surface model contains millions of polygons. The single pair shortest path problem is getting harder and harder to solve. Based on the observation that the single pair shortest path is in the locality, we propose in this paper efficient methods by excluding part of the surface model without considering them in the search process. Three novel expansion-based algorithms are proposed, namely, Naive algorithm, Rectangle-based Algorithm and Ellipse-based Algorithm. Each algorithm uses a two-step approach to find the shortest path. (1) compute an initial local path. (2) use the value of this initial path to select a search region, in which the global shortest path exists. The search process terminates once the global optimum criteria are satisfied. By reducing the searching region, the performance is improved dramatically in most cases.

Parsing Arabic relative clauses: A paninian dependency grammar approach

We present an approach to parsing rehive clauses in Arabic in the tradition of the Paninian Grammar Frumework/2] which leads to deriving U common logicul form for equivalent sentences. Particular attention is paid to the analysis of resumptive pronouns in the retrieval of syntuctico-semantic relationships. The analysis arises from the development of a lexicalised dependency grammar for Arabic that has application for machine translation.

An examination of the relationship between social locations of Chinese immigrants and their ethnic newspaper dependency

This study drew upon media system dependency theory (MSD) and social identity theory to examine the relationship between social locations of Chinese immigrants and their dependency on Chinese ethnic newspapers. Data was obtained from a survey participated by 265 respondents with Chinese origin but currently residing in Australia. Results indicated that among the three indicators of social location, age appeared to be a strong positive predictor of the dependency on ethnic newspapers for information. Respondents who stayed longer in the host country tended to be more frequent readers of ethnic newspapers as well. Education did not appear as a significant predictor of ethnic newspaper dependency. These findings suggested the need for us to further investigate the impact of ethnic print media on ethnic minorities in the age of various information sources offered by new technologies.

Impact of weather dependency on planning decisions in the australian national electricity market

A long-term planning method for the electricity market is to simulate market operation into the future. Outputs from market simulation include indicators for transmission augmentation and new generation investment. A key input to market simulations is demand forecasts. For market simulation purposes, regional demand forecasts for each half-hour interval of the forecasting horizon are required, and they must accurately represent realistic demand profiles and interregional demand relationships. In this paper, a demand model is developed to accurately model these relationships. The effects of uncertainty in weather patterns and inherent correlations between regional demands on market simulation results are presented. This work signifies the advantages of probabilistic modeling of demand levels when making market-based planning decisions.