unit II_2_i.pptx
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The document discusses different searching methods like linear search and binary search. It provides steps and algorithms for linear search and binary search. Linear search is the simplest searching method that sequentially checks each element of a list to find the target element. Binary search requires a sorted list and compares the target element to the middle element of the list to determine which half of the list to search next.
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![Linear Search
• Given an array arr[] of N elements, the task is to write a
function to search a given element x in arr[].
• Iterate from 0 to N-1 and compare the value of every index with
x if they match return index.](https://image.slidesharecdn.com/unitii2i-230215230150-7e4c5bcc/85/unit-II_2_i-pptx-3-320.jpg)
![Steps for Linear Search
• Start from the leftmost element of arr[] and one by one compare
x with each element of arr[]
• If x matches with an element, return the index.
• If x doesn’t match with any of the elements, return -1.](https://image.slidesharecdn.com/unitii2i-230215230150-7e4c5bcc/85/unit-II_2_i-pptx-4-320.jpg)
![Algorithm for Linear Search
• algorithm Seqnl_Search(list, item)
• Pre: list != ;
• Post: return the index of the item if found, otherwise: 1
• index <- fi
• while index < list.Cnt and list[index] != item //cnt: counter variable
• index <- index + 1
• end while
• if index < list.Cnt and list[index] = item
• return index
• end if
• return: 1](https://image.slidesharecdn.com/unitii2i-230215230150-7e4c5bcc/85/unit-II_2_i-pptx-5-320.jpg)
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The document discusses various searching and sorting algorithms and data structures. It covers linear search and binary search algorithms. Linear search sequentially checks each element of a list to find a target value, while binary search works on a sorted list by dividing the search space in half at each step based on comparing the target to the middle element. The document also discusses asymptotic analysis techniques like Big O notation for analyzing algorithms' time and space complexity as input size increases.Unit 3_Network Layer_Part II.pptx
Unit 3_Network Layer_Part II.pptxHODElex
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The document provides information about network layer concepts including routing, forwarding, routing tables, routing algorithms, and routing protocols.
It discusses key network layer duties like interconnecting networks, assigning unique addresses, and encapsulating data for transfer between networks. Forwarding techniques like next-hop routing and network-specific routing are covered. Popular routing algorithms like distance vector routing, link state routing, and path vector routing are summarized.
Common routing protocols for both unicast (RIP) and multicast (MOSPF, DVMRP, CBT, PIM) are introduced along with their basic operations and differences between source-based and group-shared routing trees. IPv4 addressing and IPv6 improvements like larger addressesRecently uploaded (20)
Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...
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Optimal use of resources, including energy, is one of the most important principles in modern and sustainable agricultural systems. Exergy analysis and life cycle assessment were used to study the efficient use of inputs, energy consumption reduction, and various environmental effects in the corn production system in Lorestan province, Iran. The required data were collected from farmers in Lorestan province using random sampling. The Cobb-Douglas equation and data envelopment analysis were utilized for modeling and optimizing cumulative energy and exergy consumption (CEnC and CExC) and devising strategies to mitigate the environmental impacts of corn production. The Cobb-Douglas equation results revealed that electricity, diesel fuel, and N-fertilizer were the major contributors to CExC in the corn production system. According to the Data Envelopment Analysis (DEA) results, the average efficiency of all farms in terms of CExC was 94.7% in the CCR model and 97.8% in the BCC model. Furthermore, the results indicated that there was excessive consumption of inputs, particularly potassium and phosphate fertilizers. By adopting more suitable methods based on DEA of efficient farmers, it was possible to save 6.47, 10.42, 7.40, 13.32, 31.29, 3.25, and 6.78% in the exergy consumption of diesel fuel, electricity, machinery, chemical fertilizers, biocides, seeds, and irrigation, respectively. 
Best KNow Hydrogen Fuel Production in the World The cost in USD kwh for H2
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The cost in USD/kwh for H2
Daniel Donatelli
Secure Supplies Group
Index
• Introduction - Page 3
• The Need for Hydrogen Fueling - Page 5
• Pure H2 Fueling Technology - Page 7
• Blend Gas Fueling: A Transition Strategy - Page 10
• Performance Metrics: H2 vs. Fossil Fuels - Page 12
• Cost Analysis and Economic Viability - Page 15
• Innovations Driving Leadership - Page 18
• Laminar Flame Speed Adjustment
• Heat Management Systems
• The Donatelli Cycle
• Non-Carnot Cycle Applications
• Case Studies and Real-World Applications - Page 22
• Conclusion: Secure Supplies’ Leadership in Hydrogen Fueling - Page 27
US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...
US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...Thane Heins NOBEL PRIZE WINNING ENERGY RESEARCHER
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Preface: The ReGenX Generator innovation operates with a US Patented Frequency Dependent Load
Current Delay which delays the creation and storage of created Electromagnetic Field Energy around
the exterior of the generator coil. The result is the created and Time Delayed Electromagnetic Field
Energy performs any magnitude of Positive Electro-Mechanical Work at infinite efficiency on the
generator's Rotating Magnetic Field, increasing its Kinetic Energy and increasing the Kinetic Energy of
an EV or ICE Vehicle to any magnitude without requiring any Externally Supplied Input Energy. In
Electricity Generation applications the ReGenX Generator innovation now allows all electricity to be
generated at infinite efficiency requiring zero Input Energy, zero Input Energy Cost, while producing
zero Greenhouse Gas Emissions, zero Air Pollution and zero Nuclear Waste during the Electricity
Generation Phase. In Electric Motor operation the ReGen-X Quantum Motor now allows any
magnitude of Work to be performed with zero Electric Input Energy.
Demonstration Protocol: The demonstration protocol involves three prototypes;
1. Protytpe #1, demonstrates the ReGenX Generator's Load Current Time Delay when compared
to the instantaneous Load Current Sine Wave for a Conventional Generator Coil.
2. In the Conventional Faraday Generator operation the created Electromagnetic Field Energy
performs Negative Work at infinite efficiency and it reduces the Kinetic Energy of the system.
3. The Magnitude of the Negative Work / System Kinetic Energy Reduction (in Joules) is equal to
the Magnitude of the created Electromagnetic Field Energy (also in Joules).
4. When the Conventional Faraday Generator is placed On-Load, Negative Work is performed and
the speed of the system decreases according to Lenz's Law of Induction.
5. In order to maintain the System Speed and the Electric Power magnitude to the Loads,
additional Input Power must be supplied to the Prime Mover and additional Mechanical Input
Power must be supplied to the Generator's Drive Shaft.
6. For example, if 100 Watts of Electric Power is delivered to the Load by the Faraday Generator,
an additional >100 Watts of Mechanical Input Power must be supplied to the Generator's Drive
Shaft by the Prime Mover.
7. If 1 MW of Electric Power is delivered to the Load by the Faraday Generator, an additional >1
MW Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the
Prime Mover.
8. Generally speaking the ratio is 2 Watts of Mechanical Input Power to every 1 Watt of Electric
Output Power generated.
9. The increase in Drive Shaft Mechanical Input Power is provided by the Prime Mover and the
Input Energy Source which powers the Prime Mover.
10. In the Heins ReGenX Generator operation the created and Time Delayed Electromagnetic Field
Energy performs Positive Work at infinite efficiency and it increases the Kinetic Energy of the
system.
The Golden Gate Bridge a structural marvel inspired by mother nature.pptx
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The Golden Gate Bridge is a 6 lane suspension bridge spans the Golden Gate Strait, connecting the city of San Francisco to Marin County, California.
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decarbonization steel industry rev1.pptx
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Webinar Decarbonization steel industryIntroduction to Safety, Health & Environment
Introduction to Safety, Health & Environmentssuserc606c7
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Structural QA/QC Inspection in KRP 401600 | Copper Processing Plant-3 (MOF-3)...slayshadow705
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This presentation provides an in-depth analysis of structural quality control in the KRP 401600 section of the Copper Processing Plant-3 (MOF-3) in Uzbekistan. As a Structural QA/QC Inspector, I have identified critical welding defects, alignment issues, bolting problems, and joint fit-up concerns.
Key topics covered:
✔ Common Structural Defects – Welding porosity, misalignment, bolting errors, and more.
✔ Root Cause Analysis – Understanding why these defects occur.
✔ Corrective & Preventive Actions – Effective solutions to improve quality.
✔ Team Responsibilities – Roles of supervisors, welders, fitters, and QC inspectors.
✔ Inspection & Quality Control Enhancements – Advanced techniques for defect detection.
📌 Applicable Standards: GOST, KMK, SNK – Ensuring compliance with international quality benchmarks.
🚀 This presentation is a must-watch for:
✅ QA/QC Inspectors, Structural Engineers, Welding Inspectors, and Project Managers in the construction & oil & gas industries.
✅ Professionals looking to improve quality control processes in large-scale industrial projects.
📢 Download & share your thoughts! Let's discuss best practices for enhancing structural integrity in industrial projects.
Categories:
Engineering
Construction
Quality Control
Welding Inspection
Project Management
Tags:
#QAQC #StructuralInspection #WeldingDefects #BoltingIssues #ConstructionQuality #Engineering #GOSTStandards #WeldingInspection #QualityControl #ProjectManagement #MOF3 #CopperProcessing #StructuralEngineering #NDT #OilAndGasMathematics behind machine learning INT255 INT255__Unit 3__PPT-1.pptx
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Mathematics behind machine learning INT255 
US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...
US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...Thane Heins NOBEL PRIZE WINNING ENERGY RESEARCHER
Ìý
Preface: The ReGenX Generator innovation operates with a US Patented Frequency Dependent Load Current Delay which delays the creation and storage of created Electromagnetic Field Energy around the exterior of the generator coil. The result is the created and Time Delayed Electromagnetic Field Energy performs any magnitude of Positive Electro-Mechanical Work at infinite efficiency on the generator's Rotating Magnetic Field, increasing its Kinetic Energy and increasing the Kinetic Energy of an EV or ICE Vehicle to any magnitude without requiring any Externally Supplied Input Energy. In Electricity Generation applications the ReGenX Generator innovation now allows all electricity to be generated at infinite efficiency requiring zero Input Energy, zero Input Energy Cost, while producing zero Greenhouse Gas Emissions, zero Air Pollution and zero Nuclear Waste during the Electricity Generation Phase. In Electric Motor operation the ReGen-X Quantum Motor now allows any magnitude of Work to be performed with zero Electric Input Energy.
Demonstration Protocol: The demonstration protocol involves three prototypes;
1. Protytpe #1, demonstrates the ReGenX Generator's Load Current Time Delay when compared to the instantaneous Load Current Sine Wave for a Conventional Generator Coil.
2. In the Conventional Faraday Generator operation the created Electromagnetic Field Energy performs Negative Work at infinite efficiency and it reduces the Kinetic Energy of the system.
3. The Magnitude of the Negative Work / System Kinetic Energy Reduction (in Joules) is equal to the Magnitude of the created Electromagnetic Field Energy (also in Joules).
4. When the Conventional Faraday Generator is placed On-Load, Negative Work is performed and the speed of the system decreases according to Lenz's Law of Induction.
5. In order to maintain the System Speed and the Electric Power magnitude to the Loads, additional Input Power must be supplied to the Prime Mover and additional Mechanical Input Power must be supplied to the Generator's Drive Shaft.
6. For example, if 100 Watts of Electric Power is delivered to the Load by the Faraday Generator, an additional >100 Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the Prime Mover.
7. If 1 MW of Electric Power is delivered to the Load by the Faraday Generator, an additional >1 MW Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the Prime Mover.
8. Generally speaking the ratio is 2 Watts of Mechanical Input Power to every 1 Watt of Electric Output Power generated.
9. The increase in Drive Shaft Mechanical Input Power is provided by the Prime Mover and the Input Energy Source which powers the Prime Mover.
10. In the Heins ReGenX Generator operation the created and Time Delayed Electromagnetic Field Energy performs Positive Work at infinite efficiency and it increases the Kinetic Energy of the system.G8 mini project for alcohol detection and engine lock system with GPS tracki...
G8 mini project for alcohol detection and engine lock system with GPS tracki...sahillanjewar294
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b.tech final year projects report for cseTurbocor Product and Technology Review.pdf
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High Efficiency Chiller System in HVACWireless-Charger presentation for seminar .pdf
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Core course, namely Environment and Water Supply Engineering. Full lecture notes are in book format for the BSc in Civil Engineering program. Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...
Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...J. Agricultural Machinery
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US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...
US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...Thane Heins NOBEL PRIZE WINNING ENERGY RESEARCHER
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US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...
US Patented ReGenX Generator, ReGen-X Quatum Motor EV Regenerative Accelerati...Thane Heins NOBEL PRIZE WINNING ENERGY RESEARCHER
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unit II_2_i.pptx
- 1. Searching methods • is an operation or a technique that helps finds the place of a given element or value in the list. • are designed to check for an element or retrieve an element from any data structure where it is stored. • is said to be successful or unsuccessful depending upon whether the element that is being searched is found or not. • standard techniques • Sequential Search • Interval Search
- 2. Linear Search • simplest method for searching • defined as a sequential search algorithm • starts at one end and goes through each element of a list until the desired element is found • otherwise the search continues till the end of the data set
- 3. Linear Search • Given an array arr[] of N elements, the task is to write a function to search a given element x in arr[]. • Iterate from 0 to N-1 and compare the value of every index with x if they match return index.
- 4. Steps for Linear Search • Start from the leftmost element of arr[] and one by one compare x with each element of arr[] • If x matches with an element, return the index. • If x doesn’t match with any of the elements, return -1.
- 5. Algorithm for Linear Search • algorithm Seqnl_Search(list, item) • Pre: list != ; • Post: return the index of the item if found, otherwise: 1 • index <- fi • while index < list.Cnt and list[index] != item //cnt: counter variable • index <- index + 1 • end while • if index < list.Cnt and list[index] = item • return index • end if • return: 1
- 6. Linear Search implementation in C
- 7. Binary search • is a very fast and efficient searching technique. • requires the list to be in sorted order.
- 8. Binary search • execution needs to compare the element to be searched with the present element at the center of the list. • If it matches, then the search is successful otherwise the list is divided into two halves: • one from the 0th element to the middle element which is the center element (first half) • another from the center element to the last element (which is the 2nd half) where all values are greater than the center element. • proceeds from either of the two halves depending upon whether the target element is greater or smaller than the central element. • If the element is smaller than the central element, then searching is done in the first half, otherwise searching is done in the second half.
- 9. Algorithm for Binary Search • algorithm Binary_Search(list, item) • Set L to 0 and R to n: 1 • if L > R, then Binary_Search terminates as unsuccessful • else • Set m (the position in the mid element) to the floor of (L + R) / 2 • if Am < T, set L to m + 1 and go to step 3 • if Am > T, set R to m: 1 and go to step 3 • Now, Am = T, • the search is done; return (m)
- 10. Binary Search implementation in C
- 11. Linear Search and Binary Search
- 12. Linear Search and Binary Search