Human intelligence is deeply involved in creating efficient and faster systems that can work independently. Creation of such smart systems requires efficient training algorithms. Thus, the aim of this chapter is to introduce the readers with the concept of machine learning and the commonly employed learning algorithm for developing efficient and intelligent systems. The chapter gives a clear distinction between supervised and unsupervised learning methods. Each algorithm is explained with the help of suitable example to give an insight to the learning process.
This paper does a wide-ranging review on object oriented software Reliability, and put forth some appropriate information about design level Reliability. Reliability has been recognized as a major factor to software quality, an importance is being drawn to measure reliability early in development life cycle. In this study a metrics based Reliability Estimation Model for object oriented design has been developed. A suit of design metrics useful in measuring Reliability of software has been identified. Developed model measures the reliability of object oriented design in terms of "Effectiveness" and "Functionality. The study shows a relationship among "design properties with reliability key factors Effectiveness and Functionality in accordance with its anticipated weight and significance. Finally the developed model has been empirically validated and contextual interpretation has been drawn using industrial software projects.
In this article, we'll introduce ways to build virtual worlds through different computer programs. We will show the method of rectangles for analyzing data obtained from the electroencephalogram. We will demonstrate basic mathematical models for movement prediction in a system of virtual reality. Using this data, the main transformations are possible-change of position and rotation (change of orientation).
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