ArthurDayne

 Sir Arthur Dayne fue el mejor caballero de poniente su destreza con las espadas era insuperable.

Primera Entrada

 Este es el primer blog de prueba de JJ

taller final 1,2,3 y 4

A. Categorias lexicales y uso del diccionario.

 Fuzzy logic is a form of many-valued logic; it deals with reasoning that is approximate rather than fixed and exact. In contrast with traditional logic theory, where binary sets have two-valued logic: true or false, fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false.[1] Furthermore, when linguistic variables are used, these degrees may be managed by specific functions

Fuzzy logic began with the 1965 proposal of fuzzy set theory by Lotfi Zadeh.[2][3] Though fuzzy logic has been applied to many fields, from control theory to artificial intelligence, it still remains controversial among most statisticians, who prefer Bayesian logic, and some control engineers, who prefer traditional two-valued logic.

Fuzzy logic and probabilistic logic are mathematically similar – both have truth values ranging between 0 and 1 – but conceptually distinct, due to different interpretations—see interpretations of probability theory. Fuzzy logic corresponds to "degrees of truth", while probabilistic logic corresponds to "probability, likelihood"; as these differ, fuzzy logic and probabilistic logic yield different models of the same real-world situations.

Both degrees of truth and probabilities range between 0 and 1 and hence may seem similar at first. For example, let a 100 ml glass contain 30 ml of water. Then we may consider two concepts: Empty and Full. The meaning of each of them can be represented by a certain fuzzy set. Then one might define the glass as being 0.7 empty and 0.3 full. Note that the concept of emptiness would be subjective and thus would depend on the observer or designer. Another designer might equally well design a set membership function where the glass would be considered full for all values down to 50 ml. It is essential to realize that fuzzy logic uses truth degrees as a mathematical model of the vagueness phenomenon while probability is a mathematical model of ignorance. The same could be achieved using probabilistic methods, by defining a binary variable "full" that depends on a continuous variable that describes how full the glass is. There is no consensus on which method should be preferred in a specific situation

http://en.wikipedia.org/wiki/Fuzzy_logic

1. Selecciona un texto relacionado con tu area de interes.

   Identifica 3 palabras que no conoces.. escribe lo que significa en español....agrega las abreviaciones.

A) Furthermore: ademas (adjetivo)

B) yield: rendimiento (sustantivo)

C) among: entre (preposicion)

 

2. Idea principal del texto (en español)

La lógica difusa es una forma de muchos valores de la lógica, tiene que ver con el razonamiento de que es aproximado, en lugar de fijas y exactas como lo son otras teorias de control.

 

3. Categorias lexicales: (2 ejemplos por categoria)

• Palabras de contenido: fields, engineers.
• Palabras de Función: and, to.
• Verbos: applied, fixed,
• Adverbio: completely, conceptually.
• Adjetivo: Furthermore, many.
• Artículo: a, the.
• Preposiciones: between, to.
• Conjunción: that, or.
• Cognados verdaderos: artificial, controversial. 
• cognados Falsos:
• Sufijo: completely, binary.
• Prefijos: represented,  

B. Estructura de la oracion: (2 ejemplos)

Selecciona 2 oraciones completas de tu texto (las oraciones deben ir de punto a punto.. asegurate que no tienen comas)

Oracion 1:Fuzzy logic began with the 1965 proposal of fuzzy set theory by Lotfi Zadeh.

 

Frase nominal: Fuzzy logic began with the 1965 proposal of fuzzy set theory by Lotfi Zadeh.Nucleo de la frase nominal: Fuzzy logic

Pre modificadores:

Post modificadores: began with the 1965 proposal of fuzzy set theory by Lotfi Zadeh.

Frase verbal: began with the 1965 proposal of fuzzy set theory by Lotfi Zadeh.

Nucleo de la frase verbal: began

Tiempo verbal: pasado simple

Oracion 2: The meaning of each of them can be represented by a certain fuzzy set.

Frase nominal: The meaning of each of them can be represented by a certain fuzzy set.
Nucleo de la frase nominal: fuzzy set
Pre modificadores: The meaning of each of them can be represented by a certain
Post modificadores

Frase verbal: represented by a certain fuzzy set.

Nucleo de la frase verbal: represented
Tiempo verbal: pasado simple

Unidad 3

C. Técnicas de lectura: predicción, scanning y skimming

K-System

---

• Group Overview
• Group Literature

---

Help

Group Overview: K-System

K-System interface technology

Solving a wide range of applications in one system, our K-System guarantees a reliable and economical signal transmission between your field device and the control system. Whether your plans include a single isolating module or a large scale system integration, application-oriented solutions characterize the entire K-System product range.

 

K-System offers an extensive range of intrinsic safety interface modules for many signals and applications - from simple isolators to highly functional modules.

 http://www.pepperl-fuchs.com/global/en/classid_5.htm

Seleccione un texto que tenga una imagen.

Observe la imagen y conteste las siguientes preguntas.

De acuerdo al título y la imagen: ¿cuál cree usted que es el tópico que está a punto de leer?

Luego lea el texto
¿Cuál es la idea general del texto?

Explicar el funcionamiento, aplicaciones y ventajas de la tecnología de interfaz K-System

¿Que palabras se repiten?

system, range, applications, modules.

¿Que palabras se parecen al español?

application, system, economical, signal, transmission, control, integration, product, range.

¿Cuales son las palabras en negrita, el titulo, subtitulo o gráficos que te ayudan a entender el texto?

K-System interface technology, intrinsic safety interface modules.

¿De qué trata el texto? Lee el primer párrafo y el último o la ultimas ideas del último párrafo.

El texto se refiere a la tecnologia de interfaz K-System,  habla un poco sobre su funcionamiento, aplicaciones, confiabilidad, etc.

Unidad 4

Patrones de Organización de un Párrafo

A proportional–integral–derivative controller (PID controller) is a generic control loop feedback mechanism (controller) widely used in industrial control systems – a PID is the most commonly used feedback controller. A PID controller calculates an "error" value as the difference between a measured process variable and a desired setpoint. The controller attempts to minimize the error by adjusting the process control inputs.

The PID controller calculation (algorithm) involves three separate constant parameters, and is accordingly sometimes called three-term control: the proportional, the integral and derivative values, denoted P, I, and D. Heuristically, these values can be interpreted in terms of time: P depends on the present error, I on the accumulation of past errors, and D is a prediction of future errors, based on current rate of change.[1] The weighted sum of these three actions is used to adjust the process via a control element such as the position of a control valve or the power supply of a heating element.

In the absence of knowledge of the underlying process, a PID controller is the best controller.^[2] By tuning the three parameters in the PID controller algorithm, the controller can provide control action designed for specific process requirements. The response of the controller can be described in terms of the responsiveness of the controller to an error, the degree to which the controller overshoots the setpoint and the degree of system oscillation. Note that the use of the PID algorithm for control does not guarantee optimal control of the system or system stability.

Some applications may require using only one or two actions to provide the appropriate system control. This is achieved by setting the other parameters to zero. A PID controller will be called a PI, PD, P or I controller in the absence of the respective control actions. PI controllers are fairly common, since derivative action is sensitive to measurement noise, whereas the absence of an integral term may prevent the system from reaching its target value due to the control action.

http://en.wikipedia.org/wiki/PID_controller

A. Seleccione un texto relacionado con su área de experticia. 

Escriba cual es la idea general del párrafo

habla sobre el funcionamiento, caracteristicas y aplicaciones del controlador PID.

Lea el texto y extraiga los marcadores de definición.

is, This is, involves.

B. Seleccione otro texto relacionado con su área de experticia y extraiga las palabras de secuencia u Ordenamiento del tiempo.

First, A proportional–integral–derivative controller (PID controller) is a generic control loop feedback mechanism (controller). 

Second, A PID controller calculates an "error" value as the difference between a measured process variable and a desired setpoint.

Then, The PID controller calculation (algorithm) involves three separate constant parameters, and is accordingly sometimes called three-term control: the proportional, the integral and derivative values, denoted P, I, and D.

After that, The weighted sum of these three actions is used to adjust the process via a control element such as the position of a control valve or the power supply of a heating element.

 

Marcadores de Tiempo

Buena suerte a todos y sigan brillando amor y paz!

Doris3m