In this paper, we present an alternative approach to multiple inheritance for typed feature structures. In our approach, a feature structure can be associated with several types coming from di erent hierarchies (dimensions). In case of multiple inheritance, a type has supertypes from di erent hierarchies. We contrast this approach with approaches based on a single type hierarchy where a feature...

We propose a method for learning causal relations within high-dimensional tensor data as they are typically recorded in non-experimental databases. The method allows the simultaneous inclusion of numerous dimensions within the data analysis such as samples, time and domain variables construed as tensors. In such tensor data we exploit and integrate non-Gaussian models and tensor analytic algori...

Recently, new paradigms have emerged to improved standard object-oriented methods. However, most of these lack guidelines for developers on how to design complex real-life systems using these techniques. In this position paper, we investigate proposed methods and reason why they still fail to meet key requirements of the standard design methodology. We also present a few key requirements for su...

in this paper, we introduce ergonomic system in assembly department of irankhodro as a case study, and then we measure its role in employees’ health and improving efficiency and productivity. to this end, we studied the effective factors including environmental, physical, safety, mental, psychological, and training. this research is descriptive – applicative in nature. data were collected throu...

it is shown in [1] that the optimal downlink radio resource allocation for non-realtime traffic in cellular cdma/tdma networks can be mapped to a multi-dimensional multiple-choice knapsack problem (mmkp) which is np-hard. in this correspondence we propose a heuristic algorithm with polynomial time complexity for this problem. numerical results indicate significant computational performance impr...