JANET IS A LITTLE GIRL(28 minutes, black and white, 1972). Distributed by the University of California Extension Media Center, Berkeley, California 94720. Purchase, $170; rental $12

1973 ◽  
Vol 24 (4) ◽  
pp. 256-256
Author(s):  
Jack Neher
Keyword(s):  
University Of California ◽  
Media Center ◽  
Black And White ◽  
The University

The Children’s Digital Media Center @ Los Angeles

2012 ◽  
pp. 64-76
Author(s):  
Kaveri Subrahmanyam ◽  
Adriana Manago
Keyword(s):  
Los Angeles ◽  
Digital Media ◽  
Social Networking Sites ◽  
California State University ◽  
University Of California ◽  
State University ◽  
Chat Rooms ◽  
Media Center ◽  
The University

The Children’s Digital Media Center @ Los Angeles studies young people’s interactions with digital media – with a focus on the implications of these interactions for their offline lives and long-term development. Founded by Professor Patricia Greenfield, Distinguished Professor at the University of California, Los Angeles (UCLA), USA, the Center is a collaborative effort of researchers at the UCLA and the California State University, Los Angeles, USA. CDMC@LA researchers have been at the forefront of research on children’s and adolescents’ use of media ranging from early media forms such as television and video games to more recent ones including various applications on the Internet such as chat rooms, social networking sites, and YouTube. This entry presents an overview of the Center – its history, researchers and collaborators, research focus, and major contributions.

Introduction to Fuzzy Logic and Fuzzy Linear Programming

2011 ◽  
pp. 539-553 ◽  
Author(s):  
Pandian Vasant ◽  
Hrishikesh S. Kale
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Linear Programming ◽  
Approximate Reasoning ◽  
University Of California ◽  
Wash Cycle ◽  
Black And White ◽  
Asset Values ◽  
Vague Data ◽  
The University ◽  
Load Size

Fuzzy logic (FL) is a mathematical technique for dealing with imprecise data and problems that have many solutions rather than one. Although it is implemented in digital computers which ultimately make only yesno decisions, FL works with ranges of values, solving problems in a way that more resembles human logic. FL is a multi-valued (as opposed to binary) logic developed to deal with imprecise or vague data. Classical logic holds that everything can be expressed in binary terms: 0 and 1, black and white, yes or no; in terms of Boolean algebra, everything is in one set or another but not in both. FL allows for partial membership in asset values between 0 and 1, shades of gray, and introduces the concept of the “fuzzy set.” When the approximate reasoning of FL (Zadeh, 1965) is used with an expert system, logical inferences can be drawn from imprecise relationships. FL theory was developed by Lofti A. Zadeh at the University of California in the mid 1960s. However, it was not applied commercially until 1987 when the Matsushita Industrial Electric Co. used it to automatically optimize the wash cycle of a washing machine by sensing the load size, fabric mix, and quantity of detergent and has applications in the control of passenger elevators, household applications, and so forth.

Sign in / Sign up

Export Citation Format

Share Document