PPT-CLASSIFICATION OF COMPUTER

Classification of Computers Types of Computers 1 Analog Computers Analog computers are used to process continuous data Analog computers represent variables by physical quantities Thus any computer which solve problem by translating physical conditions such as flow temperature pressure angular position or voltage into related mechanical or electrical related circuits as an analog for the physical phenomenon being investigated in general it is a computer which uses an analog quantity and produces analog values as output Thus an analog computer measures continuously Analog computers are very much speedy They produce their results very fast But their results are approximately correct All the analog computers are special purpose computers. Variation 09 Specific Classification Brightness Specific variation of color within the intermediate classification Variation 09 Based on 110 with neutral gray brightness Color Name 358 Color Chart wwwcopicmarkercom 186666COPIC Y000 Pale Lemon Y00 B By Satyajit Rout. Terms used. V(VM) : volatile matter content. C : Carbon content. A : ash content. M. : moisture content. O: oxygen . N: nitrogen. H: hydrogen, S: sulfur. d. af. : dry ash free basis. Research Planning, . Inc. May . 1, . 2012. ESI workshop, Mobile Alabama. Outline. ESI concept. Current production process. Challenges. Relevant programs and standards. Core Concepts. A consistent classification of shoreline morphology / habitat. Updated: January 2015. By Jerald D. . H. endrix. Microbial Classification . and Taxonomy. Classification Systems. Levels of Classification. Definition of “Species”. Nomenclature. Useful Properties in Microbial Classification. Department of Electrical and Computer Engineering. Zhu Han. Department. of Electrical and Computer Engineering. University of Houston.. Thanks to Nam Nguyen. , . Guanbo. . Zheng. , and Dr. . Rong. . Rongcheng Lin. Computer Science Department. Contents. Motivation, Definition & Problem. Review of SVM. Hierarchical Classification. Path-based Approaches. Regularization-based Approaches. Motivation. Contents. Overview of IDS/IPS. Components of an IDS/IPS. IDS/IPS classification. By scope of protection. By detection model. 2. /37. Intrusion. A set of actions aimed at compromising the security goals (confidentiality, integrity, availability of a computing/networking resource). The First Step in Quantitative Spectral Analysis. Richard Gray. Appalachian State University. MK Spectral Classification: 1943 – 2013. 70 years of contributions to stellar astronomy. Discovery of the spiral structure of the Galaxy (Morgan, . 4/30/14. Scientists classify millions of species. 400. years ago, scientists believed that . related. animals looked alike, and classified animals based upon their . appearance. and behavior. . Classification and . Domain Kingdom Phylum. . Class Order. . Family. Genus Species. . . . . . . Classification. Classification. is the grouping of things based on similar characteristics.. Selection of Training Areas. DN’s of training fields plotted on a “scatter” diagram in two-dimensional feature space. Band 1. Band 2. from. Lillesand & Kiefer. Classification Algorithms/Decision Rules. Standard: SB3 Classification and diversity. EQ: How do we classify things?. . Write down as many things or areas that you can classify at school; in the classroom; in the gym; at home. . Eg. . Types of clothes, color of shoes, sports equipment, cars, etc.. Learning Objectives. Importance of Classification. Philosophical underpinnings of two approaches to classification. Purposes of Classification. Symbols and Language. Words are symbols. By convention we all agree on symbols. Walker Wieland. GEOG 342. Introduction. Isocluster. Unsupervised. Interactive Supervised . Raster Analysis. Conclusions. Outline. GIS work, watershed analysis. Characterize amounts of impervious cover (IC) at spatial extents .