The document describes the Karnaugh map method for minimizing Boolean functions with various numbers of variables. It includes:
- Introduction to K-maps and their use for simplifying logic functions
- Construction of 2, 3, and 4 variable K-maps and the relationship between variable assignments and map cells
- Examples of simplifying 2-variable and 3-variable logic functions using K-maps
- Rules for grouping cells in K-maps to minimize logic functions
Calculus 10th edition anton solutions manualReece1334
Download at: https://goo.gl/e1svMM
People also search:
calculus 10th edition pdf
anton calculus pdf
howard anton calculus 10th edition solution pdf
calculus late transcendentals combined with wiley plus set
calculus multivariable version
calculus by howard anton pdf free download
calculus anton bivens davis 10th edition solutions pdf
calculus anton pdf download
Regula Falsi or False Position Method is one of the iterative (bracketing) Method for solving root(s) of nonlinear equation under Numerical Methods or Analysis.
Calculus 10th edition anton solutions manualReece1334
Download at: https://goo.gl/e1svMM
People also search:
calculus 10th edition pdf
anton calculus pdf
howard anton calculus 10th edition solution pdf
calculus late transcendentals combined with wiley plus set
calculus multivariable version
calculus by howard anton pdf free download
calculus anton bivens davis 10th edition solutions pdf
calculus anton pdf download
Regula Falsi or False Position Method is one of the iterative (bracketing) Method for solving root(s) of nonlinear equation under Numerical Methods or Analysis.
The little Oh (o) notation is a method of expressing the an upper bound on the growth rate of an algorithm’s
running time which may or may not be asymptotically tight therefore little oh(o) is also called a loose upper
bound we use little oh (o) notations to denote upper bound that is asymptotically not tight.
Introduction, basic terminology, elementary data organization, data structures, data structure operations, abstract data types, ADT, algorithms complexity, time-space-trade-off
The little Oh (o) notation is a method of expressing the an upper bound on the growth rate of an algorithm’s
running time which may or may not be asymptotically tight therefore little oh(o) is also called a loose upper
bound we use little oh (o) notations to denote upper bound that is asymptotically not tight.
Introduction, basic terminology, elementary data organization, data structures, data structure operations, abstract data types, ADT, algorithms complexity, time-space-trade-off
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
1. G H PATEL COLLEGE OF ENGINEERING AND TECHNOLOGY
DEPARTMENT OF INFORMATION TECHNOLOGY
Subject : 2131004 (Digital Electronics)
K-map Method
Preparad By:
Harekrushna Patel (130110116035)
2. Contents
• Introduction
• Two variable maps
• Three variable maps
• Four variable maps
• Five variable maps
• Six variable maps
3. Introduction
• The map method provides a simple straight
forward procedure for minimizing Boolean
functions.
• This method may be regarded either as a
pictorial form of a truth table or as an
extension of the Venn diagram.
• The map method, first proposed by Veitch (1)
and slightly modify by Karnaugh (2), is also
known as the ‘Veitch diagram’ or the
‘Karnaugh map’.
4. Cont.
Minterm
• Standard Product Term
• For n – variable function → 2n minterm
• Sum of all minterms = 1 i.e. Σmi = 1
5. Cont.
Maxterm
• Standard Sum Term
• For n – variable function → 2n maxterm
• Product of all maxterms = 1 i.e. ΠMj = 1
6. Cont.
• Forms of Boolean function:
– Sum of Product(SOP) form
– Product of Sum(POS) form
7. Cont.
• SOP Form:
– AND - OR Logic or NAND - NAND Logic
8. Cont.
• POS Form:
– OR - AND Logic or NOR - NOR Logic
9. Rules
• No zeros allowed.
• No diagonals.
• Only power of 2 number of cells in each
group.
• Groups should be as large as possible.
• Every 1 must be in at least one group.
• Overlapping allowed.
• Wrap around allowed.
• Fewest number of groups possible.
10. Two variable K-map
• There are four minterms for two variables;
hence the map consists of four squares, one
for each minterm.
• The 0’s and 1’s marked for each row and each
column designate the values of variables x and
y, respectively.
mo m1
m2 m3
36. Cont.
x
yz
0
1
y’z’ y’z y z y z’
00 01 11 10
x’
x
m0 m1 m3 m2
m4 m5 m7 m6
• F = x’yz + x’yz’ + xy’z’ + xy’z
37. Cont.
x
yz
0
1
y’z’ y’z y z y z’
00 01 11 10
x’
x
0 0 1 0
1 0 1 1
• F = x’yz + x’yz’ + xy’z’ + xy’z
38. Cont.
x
yz
0
1
y’z’ y’z y z y z’
00 01 11 10
x’
x
0 0 1 0
1 0 1 1
• Final Ans.
F = yz + xz’
39. Four Variable K-map
• There sixteen minterms for four binary
variables. Therefore, a map consists of sixteen
squares.
m0 m1 m3 m2
m4 m5 m7 m6
m12 m13 m15 m14
m8 m9 m11 m10
40. Cont.
C’D’ C’D C D C D’
00 01 11 10
m0 m1 m3 m2
m4 m5 m7 m6
m12 m13 m15 m14
m8 m9 m11 m10
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Take four variables A,B,C and D
41. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
42. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
43. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
44. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
45. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
46. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
47. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D A’BCD
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
48. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D A’BCD A’BCD’
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
49. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D A’BCD A’BCD’
ABC’D’
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
50. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D A’BCD A’BCD’
ABC’D’ ABC’D
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
51. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D A’BCD A’BCD’
ABC’D’ ABC’D ABCD
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
52. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D A’BCD A’BCD’
ABC’D’ ABC’D ABCD ABCD’
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
53. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D A’BCD A’BCD’
ABC’D’ ABC’D ABCD ABCD’
AB’C’D’
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
54. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D A’BCD A’BCD’
ABC’D’ ABC’D ABCD ABCD’
AB’C’D’ AB’C’D
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
55. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D A’BCD A’BCD’
ABC’D’ ABC’D ABCD ABCD’
AB’C’D’ AB’C’D AB’CD
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
56. Cont.
C’D’ C’D C D C D’
00 01 11 10
A’B’C’D’ A’B’C’D A’B’CD A’B’CD’
A’BC’D’ A’BC’D A’BCD A’BCD’
ABC’D’ ABC’D ABCD ABCD’
AB’C’D’ AB’C’D AB’CD AB’CD’
00
01
11
10
AB
A’B’
A’B
A B
A B’
CD
• Relation between squares & four variables
58. Cont.
m0 m1 m3 m2
m4 m5 m7 m6
m12 m13 m15 m14
m8 m9 m11 m10
W
Z
X
Y
00 01 11 10
00
01
11
10
F(w, x, y, z) = Σ(1,5,12,13)
59. Cont.
0 1 0 0
0 1 0 0
1 1 0 0
0 0 0 0
W
Z
X
Y
00 01 11 10
00
01
11
10
F(w, x, y, z) = Σ(1,5,12,13)
Put 1 in place of
m1, m5, m12, m13
60. Cont.
0 1 0 0
0 1 0 0
1 1 0 0
0 0 0 0
W
Z
X
Y
00 01 11 10
00
01
11
10
F(w, x, y, z) = Σ(1,5,12,13)
Put 1 in place of
m1, m5, m12, m13
Making pairs
61. Cont.
0 1 0 0
0 1 0 0
1 1 0 0
0 0 0 0
W
Z
X
Y
00 01 11 10
00
01
11
10
F(w, x, y, z) = Σ(1,5,12,13)
Put 1 in place of
m1, m5, m12, m13
Making pairs
Hence the simplified
Expression is
F = WY’Z + W’Y’Z
62. Five variable K-map
• There thirty two minterms for five binary
variables. Therefore, a map consists of thirty
two squares.
m16 m17 m19 m18
m20 m21 m23 m22
M28 m29 M31 m30
m24 m25 m27 m26
m0 m1 m3 m2
m4 m5 m7 m6
m12 m13 m15 m14
m8 m9 m11 m10
64. Cont.
• Example:
– Design a circuit of 5 input variables that generates
output 1 if and only if the number of 1’s in the
input is prime (i.e., 2, 3 or 5).
• Ans.:
– The minterms can easily be found from Karnaugh
Map where addresses of 2,3 or 5 numbers of 1.
68. 6 variable K-map
• A 6-variable K-Map will have 26 = 64 cells. A
function F which has maximum decimal value
of 63, can be defined and simplified by a 6-
variable Karnaugh Map.
70. Cont.
• Boolean table for 6 variables is quite big, so
we have shown only values, where there is a
noticeable change in values which will help us
to draw the K-Map.
• A = 0 for decimal values 0 to 31 and A = 1 for
31 to 63.
• B = 0 for decimal values 0 to 15 and 32 to 47.
B = 1 for decimal values 16 to 31 and 48 to 63.