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This presentation contains information about don't care conditions alongwith its examples, Karnaugh-Map i.e. K-map simplification using don't care conditions and seven-segment display with don't care conditions.
This presentation will help you to learn the basics required to learn the K map. This will help you to solve the questions related to K map. This presentation is actually the whole process of K map.
If you want to watch its video then go on https://www.youtube.com/watch?v=s3J0m7aZwGg
here I have explained the points mentioned in this presentation
This presentation contains information about don't care conditions alongwith its examples, Karnaugh-Map i.e. K-map simplification using don't care conditions and seven-segment display with don't care conditions.
This presentation will help you to learn the basics required to learn the K map. This will help you to solve the questions related to K map. This presentation is actually the whole process of K map.
If you want to watch its video then go on https://www.youtube.com/watch?v=s3J0m7aZwGg
here I have explained the points mentioned in this presentation
i inclueding this points in the ppt...
K-map structure
K-map boxes and associated product terms
Alternative way to label the k-map
Truth table to k-map
Representation of standard SOP from on k-map
if you want so plz open and download...
and if you watch any correction so plz inform me by comment or personal massage..
a way to specify points on a curve or surface (or part of one) using only the control points. The curve or surface can then be rendered at any precision. In addition, normal vectors can be calculated for surfaces automatically. You can use the points generated by an evaluator in many ways - to draw dots where the surface would be, to draw a wireframe version of the surface, or to draw a fully lighted, shaded, and even textured version.
Polygon is a figure having many slides. It may be represented as a number of line segments end to end to form a closed figure.
The line segments which form the boundary of the polygon are called edges or slides of the polygon.
The end of the side is called the polygon vertices.
Triangle is the most simple form of polygon having three side and three vertices.
The polygon may be of any shape.
- THE THREE VARIABLE KARNAUGH MAP.
- THE FOUR VARIABLE KARNAUGH MAP.
- Karnaugh Map Simplification of SOP Expressions.
- KARNAUGH MAP PRODUCT OF SUM (POS) SIMPLIFICATION 5-VARIABLE K-MAPS.
- DON'T CARE CONDITIONS.
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
1. Advantages of Karnaugh Maps
2. SOPS And POPS
3. Properties
4. Simplification Process
5. How to solve the Karenaugh map?
6. Different Types Of K-Maps
7. Presentation Introduction
8. Don't Care Condition
9. Conclution
i inclueding this points in the ppt...
K-map structure
K-map boxes and associated product terms
Alternative way to label the k-map
Truth table to k-map
Representation of standard SOP from on k-map
if you want so plz open and download...
and if you watch any correction so plz inform me by comment or personal massage..
a way to specify points on a curve or surface (or part of one) using only the control points. The curve or surface can then be rendered at any precision. In addition, normal vectors can be calculated for surfaces automatically. You can use the points generated by an evaluator in many ways - to draw dots where the surface would be, to draw a wireframe version of the surface, or to draw a fully lighted, shaded, and even textured version.
Polygon is a figure having many slides. It may be represented as a number of line segments end to end to form a closed figure.
The line segments which form the boundary of the polygon are called edges or slides of the polygon.
The end of the side is called the polygon vertices.
Triangle is the most simple form of polygon having three side and three vertices.
The polygon may be of any shape.
- THE THREE VARIABLE KARNAUGH MAP.
- THE FOUR VARIABLE KARNAUGH MAP.
- Karnaugh Map Simplification of SOP Expressions.
- KARNAUGH MAP PRODUCT OF SUM (POS) SIMPLIFICATION 5-VARIABLE K-MAPS.
- DON'T CARE CONDITIONS.
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
1. Advantages of Karnaugh Maps
2. SOPS And POPS
3. Properties
4. Simplification Process
5. How to solve the Karenaugh map?
6. Different Types Of K-Maps
7. Presentation Introduction
8. Don't Care Condition
9. Conclution
Adaptive Map for Simplifying Boolean Expressions IJCSES Journal
The complexity of implementing the Boolean functions by digital logic gates is directly related to the complexity of the Boolean algebraic expression. Although the truth table is used to represent a function, when it is expressed algebraically it appeared in many different, but equivalent, forms. Boolean expressions may be simplified by Boolean algebra. However, this procedure of minimization is awkward because it lacks specific rules to predict each succeeding step in the manipulative process. Other methods like Map methods (Karnaugh map (K-map), and map Entered Variables) are useful to implement the Boolean expression with minimal prime implicants. Or the Boolean function can be represents and design by used type N’s Multiplexers by partitioned variable(s) from the function. An adaptive map is a combined method of Boolean algebra and K-map to reduce and minimize Boolean functions involving more than three Boolean variables.
A Karnaugh map (K-map) is a pictorial method used to minimize Boolean expressions without having to use Boolean algebra theorems and equation manipulations. A K-map can be thought of as a special version of a truth table. Using a K-map, expressions with two to four variables are easily minimized.
ADAPTIVE MAP FOR SIMPLIFYING BOOLEAN EXPRESSIONSijcses
The complexity of implementing the Boolean functions by digital logic gates is directly related to the
complexity of the Boolean algebraic expression. Although the truth table is used to represent a function,
when it is expressed algebraically it appeared in many different, but equivalent, forms. Boolean expressions
may be simplified by Boolean algebra. However, this procedure of minimization is awkward because it
lacks specific rules to predict each succeeding step in the manipulative process. Other methods like Map
methods (Karnaugh map (K-map), and map Entered Variables) are useful to implement the Boolean
expression with minimal prime implicants. Or the Boolean function can be represents and design by used
type N’s Multiplexers by partitioned variable(s) from the function. An adaptive map is a combined method
of Boolean algebra and K-map to reduce and minimize Boolean functions involving more than three
Boolean variables
Gate level minimization for implementing combinational logic circuits are discussed here. Map method for simplifying boolean expressions are described here.
Logic gates, Karnaugh Maps, Sum of product, Product of sums, NAND implementation, NOR implementation, OR and INVERT implementation. Don't care condition. Logic minimization, And or invert implementation.
Implementation of Low-Complexity Redundant Multiplier Architecture for Finite...ijcisjournal
In the present work, a low-complexity Digit-Serial/parallel Multiplier over Finite Field is proposed. It is
employed in applications like cryptography for data encryption and decryptionto deal with discrete
mathematical andarithmetic structures. The proposedmultiplier utilizes a redundant representation because
of their free squaring and modular reduction. The proposed 10-bit multiplier is simulated and synthesized
using Xilinx VerilogHDL. It is evident from the simulation results that the multiplier has significantly low
area and power when compared to the previous structures using the same representation.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Mudde & Rovira Kaltwasser. - Populism - a very short introduction [2017].pdf
K-MAP(KARNAUGH MAP)BY THE SILENT PROGRAMMER
1.
2. Introduction
Advantages of Karnaugh map(k-map)
S.O.P & P.O.S
Properties
Process of simplification
Types of K-maps
Logic simplifications by different K-maps
Don’t care condtions
Refrences
3. > Also known as K-map.
> Invented by MAURICE – KARNAUGH in 1953.
> A graphical way of minimizng boolean
expressions.
> Consists tables and rows represented by 0’s
& 1’s.
4. >Data representation’s simplicity.
>The K-map simplification technique is simpler
and less error-prone
>Changes Easy and Convenient to implement.
>Reduces the cost and quantity of logical gates.
5. >The SOP (Sum of Product) expression represents
1’s .
>SOP form such as (A.B)+(B.C).
>The POS (Product of Sum) expression represents the
low (0) values in the K-Map.
>POS form like (A+B).(C+D)
6.
7.
8. >An n-variable K-map has 2n cells with n-
variable truth table value.
>Adjacent cells differ in only one bit .
>Each cell refers to a minterm or
maxterm.
>For minterm m ,maxterm M and don’t
care of we place 1 , 0 , x .
9. >No diagonals.
>Only 2^n cells in each group.
>Groups should be as large as possible.
>A group can be combined if all cells of
the group have
same set of variable.
>Overlapping allowed.
>Fewest number of groups possible.
10. ** Two variable k-map >In this type, the
variables are arranged in pairs of one..
** Three variable k-map>In this type,the
variables are arranged in order of one
and two..
for example ,if the variables a.b.c are to be used in k-map then
a will be isolately
Arranged from b&c.
** Four variable k-map>In this type,the
variables are arranged n the pairs of
two..
11.
12.
13.
14. >Minterms that may produce either
0 or 1 for the function.
>Marked with an ‘x’
in the K-map.
>These don’t-care conditions can
be used to provide further simplification.
18. Guyzzzzz…….
in return for this presentation plz plz
subscribe
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FchFfxRRxfWNCtUL7x8A