Quality function development (QFD) is a planning tools used to fulfill customer expectation and QFD is a systematic process to translating customer requirement (WHATs) into technical description (HOWs). QFD aims to maximize customer satisfactions related to enterprise satisfaction. The inherent fuzziness of relationships in QFD modeling justifies the use of fuzzy regression for estimating the r...

One of the most important case in humanoid robot designing is hand, which it consider as an country development. High percentage of robot work quality depend on hand capability. A robot function increase with hand movement. One of important movement in artificial hand capability relate to fingers lateral movement. This case has more effect intake of special objects such as round shape or moving...

A novel version of Ant Colony Optimization (ACO) algorithms for solving continuous space problems is presented in this paper. The basic structure and concepts of the originally reported ACO are preserved and adaptation of the algorithm to the case of continuous space is implemented within the general framework. The stigmergic communication is simulated through considering certain direction vect...

on a Relational Database1 Tetsuya Takahashi Arthur M. Keller Kobe Steel, Ltd. Stanford University Abstract We present the implementation of the query function for the Penguin system. Penguin is an object-oriented database system that supports multiple object views on a relational database. It enables many applications to share a database using di erent object schemata. Also, users can take quer...

The creator of an artifact, by virtue of having made the object, has privileged knowledge about its intended function. Do children recognize that the label an artifact's creator uses can convey this privileged information? 3- and 4-year-olds were presented with an object that looked like a member of one familiar artifact category, but which the speaker referred to with the label of a different ...

In this paper, we introduce an identification method for unknown category objects. Most popular conventional methods in object recognition use Bag of Features (BoF) that represents the image as an appearance frequency histogram of common visual words by quantizing SIFT features. However, this method is unable to identify unknown objects because the common visual words cannot represent the unkno...

In the research community Function Points is considered as a de facto standard. Even according to Gartner Group "function points will provide the primary means for measuring application size, reaching a penetration of approximately 50% of development organisations by the year 2000" (Hotle, 1996). We do not know what sources this conjecture is based upon. However, we observe that in many major c...

We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical description of object classes is constructed. The object classes are described in terms of functional components. The multi-level hierarchy is designed and constructed using a large set of signature-based reasoning and...

Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far-reaching, ranging from surveillance and monitoring to smart rooms. In this paper, we present a novel online adaptive object tracker based on fast learning radial basis function (RBF) networks. Pixel based color features are used for developing the target/object model. ...

Most theories of semantic memory characterize knowledge of a given object as comprising a set of semantic features. But how does conceptual activation of these features proceed during object identification? We present the results of a pair of experiments that demonstrate that object recognition is a dynamically unfolding process in which function follows form. We used eye movements to explore w...