Bfs present
•Download as PPTX, PDF•
1 like•132 views
Breadth First Search (BFS) is an algorithm for traversing or searching tree and graph data structures by exploring neighboring nodes first before moving to the next level neighbors. It works by assigning levels to nodes starting from the root node as level 0 and then exploring each level in order, marking visited nodes and placing unvisited children in the queue to be explored next.
Report
Share
Report
Share
Recommended
Basic Blocks and Flow Graphs
The document discusses basic blocks and flow graphs in program representation. It defines basic blocks as straight-line code segments with a single entry and exit point. To construct the representation:
1. The program is partitioned into basic blocks
2. A flow graph is created where basic blocks are nodes and edges show control flow between blocks
The flow graph explicitly represents all execution paths between basic blocks. Loops in the flow graph are identified by having a single loop entry node with all paths from the start going through it, and all nodes inside the loop reaching the entry.
Ch3 datalink
The document summarizes key concepts relating to the data link layer, including:
1) The data link layer provides services to the network layer such as framing data and error control. It regulates data flow and deals with transmission errors.
2) Framing involves delimiting frames with flags or escape sequences to handle bit stuffing. Error detection uses techniques like CRC checksums while error correction uses codes like Hamming codes.
3) Stop-and-wait protocols were improved with sliding window protocols using sequence numbers and acknowledgments to allow pipelining and handle lost frames more efficiently through techniques like selective repeat.
Basic blocks and control flow graphs
This document discusses basic blocks and control flow graphs. It defines a basic block as a sequence of consecutive instructions that will always execute in sequence without branching. It presents an algorithm to construct basic blocks from three-address code by identifying leader statements. An example is provided to demonstrate partitioning code into two basic blocks. Control flow graphs are defined as representing the control flow and basic blocks as nodes connected by edges. Several local transformations that can be performed on basic blocks are described such as common subexpression elimination, dead code elimination, and renaming temporary variables.
Error Detection and Correction - Data link Layer
Networks must be able to transfer data from one device to another with acceptable
accuracy. For most applications, a system must guarantee that the data received are
identical to the data transmitted. Any time data are transmitted from one node to the
next, they can become corrupted in passage. Many factors can alter one or more bits of
a message. Some applications require a mechanism for detecting and correcting errors.
Some applications can tolerate a small level of error. For example, random errors
in audio or video transmissions may be tolerable, but when we transfer text, we expect
a very high level of accuracy.
At the data-link layer, if a frame is corrupted between the two nodes, it needs to be
corrected before it continues its journey to other nodes. However, most link-layer protocols
simply discard the frame and let the upper-layer protocols handle the retransmission
of the frame. Some multimedia applications, however, try to correct the corrupted frame.
This chapter is divided into five sections.
❑ The first section introduces types of errors, the concept of redundancy, and distinguishes
between error detection and correction.
❑ The second section discusses block coding. It shows how error can be detected
using block coding and also introduces the concept of Hamming distance.
❑ The third section discusses cyclic codes. It discusses a subset of cyclic code, CRC,
that is very common in the data-link layer. The section shows how CRC can be
easily implemented in hardware and represented by polynomials.
❑ The fourth section discusses checksums. It shows how a checksum is calculated for
a set of data words. It also gives some other approaches to traditional checksum.
❑ The fifth section discusses forward error correction. It shows how Hamming distance
can also be used for this purpose. The section also describes cheaper methods
to achieve the same goal, such as XORing of packets, interleaving chunks, or
compounding high and low resolutions packets.
The Data Link Layer
Lecture slides from the 3rd-year module on Computer Networks at the University of Birmingham, UK.
This presentation covers the Data-Link layer of the networks stack, primarily Error Control, Flow Control and Framing.
Standing waves
The document discusses standing waves on a string, including how to determine the equation for the resultant wave formed by two sinusoidal waves travelling along the string simultaneously. It also asks how to find the values of x corresponding to the first three nodes and antinodes starting from x=0, and the distance between two consecutive nodes.
Tests
This document contains 4 tests for the Theory of Computation subject. Test 1 contains problems on drawing a DFA, explaining DFAs and their disadvantages, and obtaining a DFA from an NFA. Test 2 contains problems on generating regular expressions. Test 3 contains problems on obtaining grammars from FA, determining if a grammar is ambiguous, eliminating useless symbols, and converting a grammar to CNF. Test 4 contains problems explaining PDA definitions and acceptance, designing a DPDA for binary numbers divisible by 3, constructing a PDA from a CFG, and obtaining a CFG from a PDA.
Data link layar
The document discusses various functions and protocols of the data link layer, including:
1. Framing of data, error detection using checksums, and flow control to prevent faster senders from overwhelming slower receivers.
2. Common data link layer protocols like stop-and-wait and sliding window protocols using go-back-N and selective repeat to allow multiple frames to be transmitted.
3. Error detection techniques like parity bits, checksums, and cyclic redundancy checks to detect errors in transmitted frames.
Recommended
Basic Blocks and Flow Graphs
The document discusses basic blocks and flow graphs in program representation. It defines basic blocks as straight-line code segments with a single entry and exit point. To construct the representation:
1. The program is partitioned into basic blocks
2. A flow graph is created where basic blocks are nodes and edges show control flow between blocks
The flow graph explicitly represents all execution paths between basic blocks. Loops in the flow graph are identified by having a single loop entry node with all paths from the start going through it, and all nodes inside the loop reaching the entry.
Ch3 datalink
The document summarizes key concepts relating to the data link layer, including:
1) The data link layer provides services to the network layer such as framing data and error control. It regulates data flow and deals with transmission errors.
2) Framing involves delimiting frames with flags or escape sequences to handle bit stuffing. Error detection uses techniques like CRC checksums while error correction uses codes like Hamming codes.
3) Stop-and-wait protocols were improved with sliding window protocols using sequence numbers and acknowledgments to allow pipelining and handle lost frames more efficiently through techniques like selective repeat.
Basic blocks and control flow graphs
This document discusses basic blocks and control flow graphs. It defines a basic block as a sequence of consecutive instructions that will always execute in sequence without branching. It presents an algorithm to construct basic blocks from three-address code by identifying leader statements. An example is provided to demonstrate partitioning code into two basic blocks. Control flow graphs are defined as representing the control flow and basic blocks as nodes connected by edges. Several local transformations that can be performed on basic blocks are described such as common subexpression elimination, dead code elimination, and renaming temporary variables.
Error Detection and Correction - Data link Layer
Networks must be able to transfer data from one device to another with acceptable
accuracy. For most applications, a system must guarantee that the data received are
identical to the data transmitted. Any time data are transmitted from one node to the
next, they can become corrupted in passage. Many factors can alter one or more bits of
a message. Some applications require a mechanism for detecting and correcting errors.
Some applications can tolerate a small level of error. For example, random errors
in audio or video transmissions may be tolerable, but when we transfer text, we expect
a very high level of accuracy.
At the data-link layer, if a frame is corrupted between the two nodes, it needs to be
corrected before it continues its journey to other nodes. However, most link-layer protocols
simply discard the frame and let the upper-layer protocols handle the retransmission
of the frame. Some multimedia applications, however, try to correct the corrupted frame.
This chapter is divided into five sections.
❑ The first section introduces types of errors, the concept of redundancy, and distinguishes
between error detection and correction.
❑ The second section discusses block coding. It shows how error can be detected
using block coding and also introduces the concept of Hamming distance.
❑ The third section discusses cyclic codes. It discusses a subset of cyclic code, CRC,
that is very common in the data-link layer. The section shows how CRC can be
easily implemented in hardware and represented by polynomials.
❑ The fourth section discusses checksums. It shows how a checksum is calculated for
a set of data words. It also gives some other approaches to traditional checksum.
❑ The fifth section discusses forward error correction. It shows how Hamming distance
can also be used for this purpose. The section also describes cheaper methods
to achieve the same goal, such as XORing of packets, interleaving chunks, or
compounding high and low resolutions packets.
The Data Link Layer
Lecture slides from the 3rd-year module on Computer Networks at the University of Birmingham, UK.
This presentation covers the Data-Link layer of the networks stack, primarily Error Control, Flow Control and Framing.
Standing waves
The document discusses standing waves on a string, including how to determine the equation for the resultant wave formed by two sinusoidal waves travelling along the string simultaneously. It also asks how to find the values of x corresponding to the first three nodes and antinodes starting from x=0, and the distance between two consecutive nodes.
Tests
This document contains 4 tests for the Theory of Computation subject. Test 1 contains problems on drawing a DFA, explaining DFAs and their disadvantages, and obtaining a DFA from an NFA. Test 2 contains problems on generating regular expressions. Test 3 contains problems on obtaining grammars from FA, determining if a grammar is ambiguous, eliminating useless symbols, and converting a grammar to CNF. Test 4 contains problems explaining PDA definitions and acceptance, designing a DPDA for binary numbers divisible by 3, constructing a PDA from a CFG, and obtaining a CFG from a PDA.
Data link layar
The document discusses various functions and protocols of the data link layer, including:
1. Framing of data, error detection using checksums, and flow control to prevent faster senders from overwhelming slower receivers.
2. Common data link layer protocols like stop-and-wait and sliding window protocols using go-back-N and selective repeat to allow multiple frames to be transmitted.
3. Error detection techniques like parity bits, checksums, and cyclic redundancy checks to detect errors in transmitted frames.
bfs tree searching ,sortingUntitled presentation.pptx
Breadth First Search (BFS) is a graph traversal algorithm that explores all vertices in a graph level-by-level starting from a specified starting vertex. It uses a queue data structure to keep track of vertices to be explored. The time complexity of BFS is O(V+E) where V is the number of vertices and E is the number of edges, as it visits all vertices and edges in the worst case. The space complexity is O(V) as all vertices may need to be stored in the queue.
Graphs in data structures
A graph G is composed of a set of vertices V connected by edges E. It can be represented using an adjacency matrix, with a 1 or 0 in position (i,j) indicating whether vertices i and j are connected, or an adjacency list storing the neighbors of each vertex. Graph search algorithms like depth-first search (DFS) and breadth-first search (BFS) are used to traverse the graph and find paths between vertices, with DFS prioritizing depth and BFS prioritizing breadth of exploration. DFS uses recursion to implicitly store paths while BFS uses queues and must store paths separately.
BFS, Breadth first search | Search Traversal Algorithm
Breadth-First Search Traversal Algorithm, Overall Strategy of BFS Algorithm, Algorithms based on BFS, Some Applications of BFS
Algorithms and data Chapter 3 V Graph.pptx
This document discusses graphs and graph algorithms. It defines graphs as collections of vertices and edges. It describes different types of graphs like directed, undirected, weighted graphs. It explains graph traversal algorithms like breadth-first search and depth-first search. It also discusses minimum spanning trees and algorithms to find them, like Prim's algorithm and Kruskal's algorithm.
breadth first traversal- tree traversal
Breadth-first traversal is an algorithm for traversing tree and graph data structures that visits each level of the tree from left to right before moving on to the next level. It uses a queue to keep track of nodes to visit, following the FIFO principle of adding nodes to the back of the queue and removing from the front. The algorithm starts with a root node, adds its neighbors to the back of the queue, then removes the front node and adds its unvisited neighbors until the queue is empty, ensuring all nodes at each level are visited before moving deeper.
Bfs and dfs
The document discusses Breadth First Search (BFS) and Depth First Search (DFS) graph traversal algorithms. BFS uses a queue data structure and explores neighbor nodes level-wise, starting from a source node. Its time and space complexity is O(V+E) and O(V) respectively. DFS uses a stack and explores nodes by going deeper first until reaching a dead end, then backtracks. Its complexity is O(V+E) for adjacency lists and O(V^2) for adjacency matrices. Both algorithms are used for path finding, cycle detection and other graph applications.
Analysis and design of algorithms part 3
This document discusses graph representation and traversal techniques. It begins by defining graph terminology like vertices, edges, adjacency, and paths. It then covers different ways to represent graphs, including adjacency lists and matrices. It describes the pros and cons of each representation. The document also explains depth-first search and breadth-first search traversal algorithms in detail, including pseudocode. It analyzes the time complexity of these algorithms. Finally, it briefly discusses other graph topics like strongly connected components and biconnected components.
Unit 4.2(graphs)
The document discusses various topics related to graphs including:
1. Graph representations such as adjacency matrices and linked lists.
2. Graph terminology like vertices, edges, paths, cycles, and traversals.
3. Graph traversal algorithms like depth-first search and breadth-first search.
4. Applications of graphs in areas like transportation networks, databases, and computer networks.
5. Minimum spanning trees and algorithms to find them such as Kruskal's algorithm and Prim's algorithm.
Breadth first search (Bfs)
This document provides an overview of the Breadth-First Search (BFS) graph traversal algorithm. It begins by explaining that BFS starts at the root node and explores all neighboring nodes, selecting the nearest unexplored node at each step. It then provides examples of BFS traversing different graphs and describes the key aspects of the BFS algorithm, including maintaining a queue, coloring nodes as white/gray/black to track explored status, and updating distance and predecessor values at each step. In the end, it analyzes the properties of BFS, such as finding the shortest path distances, and discusses applications like finding connected components.
Graphs
adjacency matrix ppt, bfs ppt, dfs ppt, graph representations, graph traversals, introduction to graphs, krushkal minimum spanning tree ppt, minimum spanning tree, prims minimum spanning tree ppt, topological sort ppt
Data structure
Graph (Data structure)
for download this slide message me on gmail account techhubsolution0@gmail.com
Class01_Computer_Contest_Level_3_Notes_Sep_07 - Copy.pdf
The document discusses graph theory concepts including:
- Euler's analysis of the Seven Bridges of Königsberg problem which proved that a walk crossing each bridge once is impossible.
- Definitions of graphs, vertices, edges, degree of a vertex, adjacency matrix, adjacency lists, trees, forests, connectivity, graph traversal algorithms like breadth-first search and depth-first search.
- Explanations and examples are provided for graph representations and common graph terminology.
Modelagem de um CSTR com reação endotermica.pdf
Modelagem em função de transferencia. CSTR não-linear.
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
For International shipping and maritime laws all wood must contain the ISPM 15 Stamp. Here is how and why.
The Python for beginners. This is an advance computer language.
Python language is very important language at this time. we can easily understand this language by these notes.
More Related Content
Similar to Bfs present
bfs tree searching ,sortingUntitled presentation.pptx
Breadth First Search (BFS) is a graph traversal algorithm that explores all vertices in a graph level-by-level starting from a specified starting vertex. It uses a queue data structure to keep track of vertices to be explored. The time complexity of BFS is O(V+E) where V is the number of vertices and E is the number of edges, as it visits all vertices and edges in the worst case. The space complexity is O(V) as all vertices may need to be stored in the queue.
Graphs in data structures
A graph G is composed of a set of vertices V connected by edges E. It can be represented using an adjacency matrix, with a 1 or 0 in position (i,j) indicating whether vertices i and j are connected, or an adjacency list storing the neighbors of each vertex. Graph search algorithms like depth-first search (DFS) and breadth-first search (BFS) are used to traverse the graph and find paths between vertices, with DFS prioritizing depth and BFS prioritizing breadth of exploration. DFS uses recursion to implicitly store paths while BFS uses queues and must store paths separately.
BFS, Breadth first search | Search Traversal Algorithm
Breadth-First Search Traversal Algorithm, Overall Strategy of BFS Algorithm, Algorithms based on BFS, Some Applications of BFS
Algorithms and data Chapter 3 V Graph.pptx
This document discusses graphs and graph algorithms. It defines graphs as collections of vertices and edges. It describes different types of graphs like directed, undirected, weighted graphs. It explains graph traversal algorithms like breadth-first search and depth-first search. It also discusses minimum spanning trees and algorithms to find them, like Prim's algorithm and Kruskal's algorithm.
breadth first traversal- tree traversal
Breadth-first traversal is an algorithm for traversing tree and graph data structures that visits each level of the tree from left to right before moving on to the next level. It uses a queue to keep track of nodes to visit, following the FIFO principle of adding nodes to the back of the queue and removing from the front. The algorithm starts with a root node, adds its neighbors to the back of the queue, then removes the front node and adds its unvisited neighbors until the queue is empty, ensuring all nodes at each level are visited before moving deeper.
Bfs and dfs
The document discusses Breadth First Search (BFS) and Depth First Search (DFS) graph traversal algorithms. BFS uses a queue data structure and explores neighbor nodes level-wise, starting from a source node. Its time and space complexity is O(V+E) and O(V) respectively. DFS uses a stack and explores nodes by going deeper first until reaching a dead end, then backtracks. Its complexity is O(V+E) for adjacency lists and O(V^2) for adjacency matrices. Both algorithms are used for path finding, cycle detection and other graph applications.
Analysis and design of algorithms part 3
This document discusses graph representation and traversal techniques. It begins by defining graph terminology like vertices, edges, adjacency, and paths. It then covers different ways to represent graphs, including adjacency lists and matrices. It describes the pros and cons of each representation. The document also explains depth-first search and breadth-first search traversal algorithms in detail, including pseudocode. It analyzes the time complexity of these algorithms. Finally, it briefly discusses other graph topics like strongly connected components and biconnected components.
Unit 4.2(graphs)
The document discusses various topics related to graphs including:
1. Graph representations such as adjacency matrices and linked lists.
2. Graph terminology like vertices, edges, paths, cycles, and traversals.
3. Graph traversal algorithms like depth-first search and breadth-first search.
4. Applications of graphs in areas like transportation networks, databases, and computer networks.
5. Minimum spanning trees and algorithms to find them such as Kruskal's algorithm and Prim's algorithm.
Breadth first search (Bfs)
This document provides an overview of the Breadth-First Search (BFS) graph traversal algorithm. It begins by explaining that BFS starts at the root node and explores all neighboring nodes, selecting the nearest unexplored node at each step. It then provides examples of BFS traversing different graphs and describes the key aspects of the BFS algorithm, including maintaining a queue, coloring nodes as white/gray/black to track explored status, and updating distance and predecessor values at each step. In the end, it analyzes the properties of BFS, such as finding the shortest path distances, and discusses applications like finding connected components.
Graphs
adjacency matrix ppt, bfs ppt, dfs ppt, graph representations, graph traversals, introduction to graphs, krushkal minimum spanning tree ppt, minimum spanning tree, prims minimum spanning tree ppt, topological sort ppt
Data structure
Graph (Data structure)
for download this slide message me on gmail account techhubsolution0@gmail.com
Class01_Computer_Contest_Level_3_Notes_Sep_07 - Copy.pdf
The document discusses graph theory concepts including:
- Euler's analysis of the Seven Bridges of Königsberg problem which proved that a walk crossing each bridge once is impossible.
- Definitions of graphs, vertices, edges, degree of a vertex, adjacency matrix, adjacency lists, trees, forests, connectivity, graph traversal algorithms like breadth-first search and depth-first search.
- Explanations and examples are provided for graph representations and common graph terminology.
Similar to Bfs present (12)
bfs tree searching ,sortingUntitled presentation.pptx
bfs tree searching ,sortingUntitled presentation.pptx
BFS, Breadth first search | Search Traversal Algorithm
BFS, Breadth first search | Search Traversal Algorithm
Class01_Computer_Contest_Level_3_Notes_Sep_07 - Copy.pdf
Class01_Computer_Contest_Level_3_Notes_Sep_07 - Copy.pdf
Recently uploaded
Modelagem de um CSTR com reação endotermica.pdf
Modelagem em função de transferencia. CSTR não-linear.
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
For International shipping and maritime laws all wood must contain the ISPM 15 Stamp. Here is how and why.
The Python for beginners. This is an advance computer language.
Python language is very important language at this time. we can easily understand this language by these notes.
Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
ACEP Magazine edition 4th launched on 05.06.2024
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Recycled Concrete Aggregate in Construction Part II
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
原版一模一样【微信：741003700 】【(csu毕业证书)查尔斯特大学毕业证硕士学历】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
New techniques for characterising damage in rock slopes.pdf
rock mass characterization and New techniques for characterising damage in rock slopes
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology towards Sustainable Steelmaking
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Recently uploaded (20)
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Recycled Concrete Aggregate in Construction Part II
Recycled Concrete Aggregate in Construction Part II
New techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning an...
Bfs present
- 1. Breadth First Search Presented By: Minhaz Uddin ID: 151001612
- 2. BFS Definition: BFS is an algorithm for traversing or searching tree or graph data structures. BFS Algorithm: 1.We pointed start vertice as level zero. 2.Starting from start vertice we visited all the vertices that are at the distance of one edge away. these vertices pointed as level one from the start vertice and mark as visited.
- 3. 3. we again visited all the new vertices that are at the distance of one edge away from the level one. these vertices pointed as level two and mark as visited . 4.The process is continue until all the vertice mark as visited.
- 5. Start vertice : A Output : A Output : A B E Queue B E
- 6. Current vertice: B Output : A B E D Queue E D
- 7. Current vertice: E Output : A B E D C Queue D C
- 8. Current vertice: D Current vertice: C Output : A B E D C Output : A B E D C Queue C Queue
- 9. Output : A B E D C BFS is done Queue