delta modeling [6] (ADM) describes the possible ways a product line code base can be structured by delta modeling so that it supports automated product derivation. It puts deltas, which can modify (software) products, into a partial order which restricts their application. If delta x comes earlier in this order than y, then x has to be applied before y. If there is no order between x and y, and...

In this article, we propose a new thinning algorithm based on line sweep operation. A line sweep is a process where the plane figure is divided into parallel slabs by lines passing through certain "events" and items are then processed according to an order of the slabs. Assuming that the contour of the figure to be thinned have been approxiĆ mated by polygons, the "events" are then the vertices...

Product line engineering (PLE) needs to consider evolution and strategic planning of evolution steps right from the beginning. If evolution is not taken care of, the benefits of model-driven PLE (e.g., productivity gains, strategic reuse, complexity handling) will be difficult to achieve. In this paper we propose an approach for strategic planning and management of feature model evolution. Our ...

Our laboratory is constructing a painter robot. The first step in painting is to extract desirable feature lines such as silhouette and boundary lines, which represent the object to be drawn. For this purpose, this thesis proposes a system that extracts feature lines from a textured 3D polygonal model. First, the system builds a textured 3D model of the target object from multiple cameras using...

Sketch recognition is widely used in pen-based interaction, especially as the increasing popularity of devices with touch screens. It can enhance human-computer interaction by allowing a natural/free form of interaction. The main challenging problem is the variability in hand drawings. This paper presents an on-line sketch recognition method based on the direction feature. We also present two f...

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A new manifold learning method, called nearest feature line (NFL) embedding, for face hallucination is proposed. While many manifold learning based face hallucination algorithms have been proposed in recent years, most of them apply the conventional nearest neighbour metric to derive the subspace and may not effectively characterise the geometrical information of the samples, especially when th...

Background. The double haul is a unique feature of single-handed fly casting and is used in both fly fishing and fly casting competition. The movement behaviour during the double haul has not been investigated in previous research. Objectives. Describe the coordination of the rod and line hauling movements during distance fly casting. Methods. Elite fly casters performed distance castin...

1 In nearest feature line approach, the representational capacity of a given training set is 2 generalized by defining feature lines passing through each pair of samples belonging to the same 3 class. This technique is shown to provide superior performance on various classification problems 4 than the nearest neighbor approach. From the performance point of view, the major weakness 5 of this te...