Final project
•Download as DOCX, PDF•
0 likes•166 views
1) The document provides instructions for a final programming project for a computer programming class, broken into 3 potential projects: a math quiz game, tic tac toe game, or a horse movement prediction program. 2) Students are instructed to form groups of 1-4 members, choose a project, and provide their group name and members to the instructor. 3) For the math quiz project, the program will randomly select questions from a pool of 50 and track individual question times and overall times, saving top 10 player data between runs.
Report
Share
Report
Share
![left000UNIVERSITI TUN HUSSEIN ONN MALAYSIA<br />FACULTY OF MECHANICAL AND MANUFACTURING ENGINEERING <br />DTI2143/DAM31303: COMPUTER PROGRAMMING<br />FINAL PROJECTFINAL PROJECT<br />Instructions:<br />,[object Object]](https://image.slidesharecdn.com/finalproject-110822221334-phpapp01/85/Final-project-1-320.jpg)
Recommended
Dti2143 dam31303 lab sheet 5
The document outlines 5 exercises for a computer programming lab, including writing programs to determine the larger of two numbers, calculate moving distance based on force and angle, compute the 12th Fibonacci number using a formula, convert a time period in seconds to hours, minutes and seconds, and display age categories based on a user's age input. It provides examples of the expected output for each program.
20181204i mlse discussions
This document discusses deep learning and inductive programming. It begins by defining deep learning as a stateless function that can take in high-dimensional or categorical variables as input and provide low-dimensional outputs for classification or high-dimensional outputs for generation. The document then provides an example of converting Celsius to Fahrenheit using a simple formula. It contrasts this with an inductive, data-driven approach requiring no prior knowledge of the model or algorithm. The document suggests neural networks can approximate any high-dimensional function, acting as a universal computing mechanism. It speculates that by 2020, over half of newly developed software will have inductively trained components, representing a large paradigm shift. Finally, it discusses how new engineering disciplines are needed as new
HUDF5199 Columbia Class
Individual project for HUDF5199 class at Columbia - The Learning Opportunities Lab with Prof. Natriello
Experiments with Machine Learning - GDG Lviv
This document discusses experiments with machine learning. It begins by defining machine learning as a program that improves its performance on tasks through experience. It then categorizes machine learning into supervised learning, unsupervised learning, and reinforcement learning. The document goes on to explain regression, classification, linear regression, and logistic regression. It provides an example of classifying human speech to detect whether a phrase contains the word "Google" or not. Features are extracted from audio files using Mel-Frequency Cepstral Coefficients rather than using the raw waveform. The document concludes by providing contact information for the author to ask questions.
Polygonbiasa
Npm : 2012 4350 1163
Nama : Hamim Suyuti
Kelas : R7H
Mata Kuliah : Komputer Grafik
Dosen : Nahot Frastian, M.Kom
Program Studi : Teknik Informatika
Universitas : Universitas Indraprasta PGRI
Polygon
Npm : 2012 4350 1163
Nama : Hamim Suyuti
Kelas : R7H
Mata Kuliah : Komputer Grafik
Dosen : Nahot Frastian, M.Kom
Program Studi : Teknik Informatika
Universitas : Universitas Indraprasta PGRI
Purpose elaborate
This document outlines basic programming concepts including variable types like float and int, input statements like scanf and getchar, output statements like printf, assignment statements using =, and special features like #define and const.
Test 1 alish schema 1
The program allows the user to calculate the cost of installing tiles in a room. It takes input for the tile size, room length, and room width from the user. It then calculates the room size in square meters and number of tiles required based on the tile size selected. Finally, it displays an invoice with the product number, room size, number of tiles, cost per tile, and total cost. The program runs without errors and outputs the results as specified.
Recommended
Dti2143 dam31303 lab sheet 5
The document outlines 5 exercises for a computer programming lab, including writing programs to determine the larger of two numbers, calculate moving distance based on force and angle, compute the 12th Fibonacci number using a formula, convert a time period in seconds to hours, minutes and seconds, and display age categories based on a user's age input. It provides examples of the expected output for each program.
20181204i mlse discussions
This document discusses deep learning and inductive programming. It begins by defining deep learning as a stateless function that can take in high-dimensional or categorical variables as input and provide low-dimensional outputs for classification or high-dimensional outputs for generation. The document then provides an example of converting Celsius to Fahrenheit using a simple formula. It contrasts this with an inductive, data-driven approach requiring no prior knowledge of the model or algorithm. The document suggests neural networks can approximate any high-dimensional function, acting as a universal computing mechanism. It speculates that by 2020, over half of newly developed software will have inductively trained components, representing a large paradigm shift. Finally, it discusses how new engineering disciplines are needed as new
HUDF5199 Columbia Class
Individual project for HUDF5199 class at Columbia - The Learning Opportunities Lab with Prof. Natriello
Experiments with Machine Learning - GDG Lviv
This document discusses experiments with machine learning. It begins by defining machine learning as a program that improves its performance on tasks through experience. It then categorizes machine learning into supervised learning, unsupervised learning, and reinforcement learning. The document goes on to explain regression, classification, linear regression, and logistic regression. It provides an example of classifying human speech to detect whether a phrase contains the word "Google" or not. Features are extracted from audio files using Mel-Frequency Cepstral Coefficients rather than using the raw waveform. The document concludes by providing contact information for the author to ask questions.
Polygonbiasa
Npm : 2012 4350 1163
Nama : Hamim Suyuti
Kelas : R7H
Mata Kuliah : Komputer Grafik
Dosen : Nahot Frastian, M.Kom
Program Studi : Teknik Informatika
Universitas : Universitas Indraprasta PGRI
Polygon
Npm : 2012 4350 1163
Nama : Hamim Suyuti
Kelas : R7H
Mata Kuliah : Komputer Grafik
Dosen : Nahot Frastian, M.Kom
Program Studi : Teknik Informatika
Universitas : Universitas Indraprasta PGRI
Purpose elaborate
This document outlines basic programming concepts including variable types like float and int, input statements like scanf and getchar, output statements like printf, assignment statements using =, and special features like #define and const.
Test 1 alish schema 1
The program allows the user to calculate the cost of installing tiles in a room. It takes input for the tile size, room length, and room width from the user. It then calculates the room size in square meters and number of tiles required based on the tile size selected. Finally, it displays an invoice with the product number, room size, number of tiles, cost per tile, and total cost. The program runs without errors and outputs the results as specified.
Test 1 skema q&a
The document describes a C programming assignment to create a program that calculates the time needed for a user to burn a given number of calories through exercise, based on their weight and the type of exercise selected. The program allows the user to choose between jogging or bicycling/playing tennis and calculates the hours needed to burn the calories entered by the user. The user can make multiple calculations by rerunning the program.
Dam31303 dti2143 lab sheet 7
The document contains instructions and code snippets for 5 exercises involving functions and switch case statements in C programming.
Exercise 1 demonstrates a simple function that adds two numbers and returns the result. Exercise 2 defines a function without arguments that gets user input, calculates a sum, and prints the output.
Exercise 3 defines a function that takes 3 arguments, finds the maximum value, and returns it. Exercise 4 contains a switch case statement to print a color based on user input.
Exercise 5 instructs the user to write a program to calculate electrical bills based on consumption tiers using input, switch case, if-else, and loops.
Dti2143 lab sheet 6
The document contains 4 exercises for a Computer Programming lab that focuses on selection and loop structures in C programming. The exercises include programs to calculate total and average prices using loops and selection statements, a program to draw a symmetrical triangle using a for loop, and a program to calculate internet charges at a villa based on usage hours and rates. Students are asked to study, modify, and analyze the code samples provided to better understand loops and conditional statements.
Lab 9 sem ii_12_13
There are errors in the function prototype and definition. The function prototype in line 4 declares the function as int fnAdd(int iValue1, int iValue2) but the definition in line 14 is int fnAdd(inum1, inum2). The parameter names must match between the prototype and definition.
What are the causes of conflicts (Bahasa Malaysia)
Meaning, Definition, Causes, types , Prevention conflict
Maksud, Definisi , Penyebab, Jenis , Pencegahan Konflik
Final project
The document provides instructions for a final programming project for a computer programming class. Students must form groups of 1-4 members and choose one of three project options: a math quiz game, a tic-tac-toe game, or a program to predict horse movements on a board. The math quiz game would include 20 random questions from a pool of 50 and track answering times and top scores. The tic-tac-toe game would be for two human players. And the horse movement predictor would take user input of horse positions on an 8x8 grid and calculate the next move.
Defuzzification
This document discusses defuzzification in fuzzy logic. It defines defuzzification as the process of converting fuzzy quantities into crisp quantities. There are several reasons for and applications of defuzzification, such as converting fuzzy controller outputs into crisp values for applications. The document outlines the defuzzification process and several common defuzzification methods, including the centroid method, weighted average method, and max membership principle. It also discusses the lambda-cut and alpha-cut methods for deriving crisp values from fuzzy sets and relations.
Harnessing deep learning algorithms to predict software refactoring
During software maintenance, software systems need to be modified by adding or modifying source code. These changes are required to fix errors or adopt new requirements raised by stakeholders or market place. Identifying thetargeted piece of code for refactoring purposes is considered a real challenge for software developers. The whole process of refactoring mainly relies on software developers’ skills and intuition. In this paper, a deep learning algorithm is used to develop a refactoring prediction model for highlighting the classes that require refactoring. More specifically, the gated recurrent unit algorithm is used with proposed pre-processing steps for refactoring predictionat the class level. The effectiveness of the proposed model is evaluated usinga very common dataset of 7 open source java projects. The experiments are conducted before and after balancing the dataset to investigate the influence of data sampling on the performance of the prediction model. The experimental analysis reveals a promising result in the field of code refactoring prediction
Programming definitions on fuzzy logic and genetic algorithms
This document contains 6 problems related to fuzzy logic and genetic algorithms. It provides definitions for problems involving programming fuzzy logic concepts like membership functions and complement membership. It also provides definitions for genetic algorithm problems like single and double variable function optimization, and the traveling salesman problem. Sample functions are given that should be optimized or minimized. The problems range from 5-20 marks and involve writing computer programs to implement the given fuzzy logic or genetic algorithm concepts and problems.
ARTICLECooperating with machinesJacob W. Crandall 1, May.docx
ARTICLE
Cooperating with machines
Jacob W. Crandall 1, Mayada Oudah 2, Tennom3, Fatimah Ishowo-Oloko 2, Sherief Abdallah 4,5,
Jean-François Bonnefon6, Manuel Cebrian7, Azim Shariff8, Michael A. Goodrich 1 & Iyad Rahwan 7,9
Since Alan Turing envisioned artificial intelligence, technical progress has often been mea-
sured by the ability to defeat humans in zero-sum encounters (e.g., Chess, Poker, or Go). Less
attention has been given to scenarios in which human–machine cooperation is beneficial but
non-trivial, such as scenarios in which human and machine preferences are neither fully
aligned nor fully in conflict. Cooperation does not require sheer computational power, but
instead is facilitated by intuition, cultural norms, emotions, signals, and pre-evolved dis-
positions. Here, we develop an algorithm that combines a state-of-the-art reinforcement-
learning algorithm with mechanisms for signaling. We show that this algorithm can cooperate
with people and other algorithms at levels that rival human cooperation in a variety of two-
player repeated stochastic games. These results indicate that general human–machine
cooperation is achievable using a non-trivial, but ultimately simple, set of algorithmic
mechanisms.
DOI: 10.1038/s41467-017-02597-8 OPEN
1 Computer Science Department, Brigham Young University, 3361 TMCB, Provo, UT 84602, USA. 2 Khalifa University of Science and Technology, Masdar
Institute, P.O. Box 54224, Abu Dhabi, United Arab Emirates. 3 UVA Digital Himalaya Project, University of Virginia, Charlottesville, VA 22904, USA. 4 British
University in Dubai, Dubai, United Arab Emirates. 5 School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK. 6 Toulouse School of Economics
(TSM-Research), Centre National de la Recherche Scientifique, University of Toulouse Capitole, Toulouse 31015, France. 7 The Media Lab, Massachusetts
Institute of Technology, Cambridge, MA 02139, USA. 8 Department of Psychology and Social Behavior, University of California, Irvine, CA 92697, USA.
9 Institute for Data, Systems and Society, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. Correspondence
and requests for materials should be addressed to J.W.C. (email: [email protected]) or to I.R. (email: [email protected])
NATURE COMMUNICATIONS | (2018) 9:233 |DOI: 10.1038/s41467-017-02597-8 |www.nature.com/naturecommunications 1
12
3
4
5
6
7
8
9
0
()
:,;
http://orcid.org/0000-0002-5602-4146
http://orcid.org/0000-0002-5602-4146
http://orcid.org/0000-0002-5602-4146
http://orcid.org/0000-0002-5602-4146
http://orcid.org/0000-0002-5602-4146
http://orcid.org/0000-0003-3141-6159
http://orcid.org/0000-0003-3141-6159
http://orcid.org/0000-0003-3141-6159
http://orcid.org/0000-0003-3141-6159
http://orcid.org/0000-0003-3141-6159
http://orcid.org/0000-0003-3011-5047
http://orcid.org/0000-0003-3011-5047
http://orcid.org/0000-0003-3011-5047
http://orcid.org/0000-0003-3011-5047
http://orcid.org/0000-0003-3.
Introduction to computing Processing and performance.pdf
This document discusses analyzing the performance of computer programs through empirical analysis and mathematical modeling. It provides an example of empirically analyzing the running time of a 3-sum problem algorithm by running experiments with increasing input sizes, measuring times, plotting the results, and fitting the data to a mathematical model. The analysis suggests the algorithm runs in O(N3) time. Doubling the input size and verifying the predicted running time supports the performance hypothesis.
Computer Science CS Project Matrix CBSE Class 12th XII .pdf
The following project is based on Matrices and Determinants. It is a menu based program with data file and SQL Connectivity. The program is capable of performing all the complex functions of matrices and determinants that are mentioned in the Class 12th Math’s book. The ‘Menu’ of the program upon which it executes is as follows:
1: Generate a Random Matrix
2: Addition
3: Subtraction
4: Multiplication by a Scalar
5: Multiplication by a Matrix
6: Calculate Determinant
7: Calculate Minor
8: Calculate Cofactor
9: Calculate Adjoint
10: Transpose
11: Inversion
M017419499
This document presents a task allocation model for balancing resource utilization in a multiprocessor environment. It discusses partitioning a task into modules and allocating the modules to processors to minimize execution time. The model aims to minimize total execution cost while balancing the load across processors and minimizing inter-task communication costs. It presents the mathematical modeling and development of an algorithm to allocate m modules of a task to n processors. The algorithm considers execution costs, communication costs, and task sizes to determine the optimal allocation that balances utilization across processors. An example application of the model to a system with 3 processors and 9 task modules is provided.
MULTIPROCESSOR SCHEDULING AND PERFORMANCE EVALUATION USING ELITIST NON DOMINA...
Task scheduling plays an important part in the improvement of parallel and distributed systems. The problem of task scheduling has been shown to be NP hard. The time consuming is more to solve the problem in deterministic techniques. There are algorithms developed to schedule tasks for distributed environment, which focus on single objective. The problem becomes more complex, while considering biobjective.This paper presents bi-objective independent task scheduling algorithm using elitist Nondominated
sorting genetic algorithm (NSGA-II) to minimize the makespan and flowtime. This algorithm generates pareto global optimal solutions for this bi-objective task scheduling problem. NSGA-II is implemented by using the set of benchmark instances. The experimental result shows NSGA-II generates efficient optimal schedules.
A STRATEGIC HYBRID TECHNIQUE TO DEVELOP A GAME PLAYER
The document presents a strategic hybrid technique that combines minimax search and Aggregate Malanobis Distance Function (AMDF) to develop an intelligent game player for Awale, a mancala board game. The technique was tested in a series of 10 games against an existing Awale program at different skill levels. The results showed that the hybrid player performed well at initial levels and competed strongly at higher levels, defeating the existing program at some levels on average while losing to the grandmaster level program. The combination of minimax search and AMDF provides an efficient and adaptive approach for game playing.
Network Design and Management
This document discusses network design and management. It covers the systems development life cycle (SDLC) which involves planning, analysis, design, implementation, and maintenance phases. It also discusses network modeling, feasibility studies, capacity planning, creating a baseline, skills needed for a network manager, and generating useful statistics.
Hci md exam
This document is a 3-page exam for a Human Computer Interaction course. It contains 4 parts testing students' knowledge of HCI concepts and principles. Part 1 has 6 true/false questions worth 1.5 points each about system design and interface factors. Part 2 contains 8 multiple choice questions worth 2 points each related to HCI influences, usability, and interaction terms. Part 3 requires discussing the importance of HCI for e-business systems, describing 4 interaction styles, explaining human characteristics for design, and differentiating between slips and mistakes as human errors. The exam is out of a total of 35% and covers a range of foundational HCI topics.
A frugal-bidding-procedurefor-replicating-www-content
The document describes a frugal bidding mechanism for replicating web content across distributed sites on the internet. It uses game theoretical techniques and auctions to design a mechanism where selfish agent sites can bid in a way that encapsulates their own interests, while achieving desired system-wide goals of minimizing communication costs. The mechanism asks sites to bid truthfully based on their own costs and benefits. It is shown through experiments that this mechanism provides high quality solutions with fast execution times compared to other techniques like greedy algorithms, branch and bound, and genetic algorithms.
Ch14
Properly designing and managing a computer network is a difficult task that requires planning, analysis, capacity planning, and skills to keep up with changing technology. Network design follows a systematic process called the Systems Development Life Cycle (SDLC) which includes planning, analysis, design, implementation, and maintenance phases. Network models and diagrams are created to demonstrate the current and planned network configuration. Capacity planning determines necessary network bandwidth by analyzing current usage and projecting future needs. Baseline studies measure current network performance to determine future capacity requirements.
Informatics Practices (new) solution CBSE 2021, Compartment, improvement ex...
This document contains solutions to questions from a computer science examination. It includes questions on topics like Python, Pandas, SQL, data visualization, and computer networks. The solutions demonstrate how to write Python code to create and manipulate dataframes, plot charts, and perform SQL queries. Examples of network topologies and devices like switches, modems, and gateways are also provided. The document aims to test students' understanding of key concepts in informatics practices.
resume
Nikhil Sharma is seeking a position that allows him to utilize his skills in VLSI design and new technologies. He has an M.Tech in VLSI Design from Thapar University with 6.67 CGPA. His skills include EDA tools, hardware description languages like VHDL and Verilog, and software skills in C and C++. He has experience with architectures like 8085 and 8051 and their assembly programming. His M.Tech project involved residue number system scaling. He is currently working on a residue number system based processor. He secured 436 rank in GATE 2013 and has work experience as a testing engineer.
More Related Content
Viewers also liked
Test 1 skema q&a
The document describes a C programming assignment to create a program that calculates the time needed for a user to burn a given number of calories through exercise, based on their weight and the type of exercise selected. The program allows the user to choose between jogging or bicycling/playing tennis and calculates the hours needed to burn the calories entered by the user. The user can make multiple calculations by rerunning the program.
Dam31303 dti2143 lab sheet 7
The document contains instructions and code snippets for 5 exercises involving functions and switch case statements in C programming.
Exercise 1 demonstrates a simple function that adds two numbers and returns the result. Exercise 2 defines a function without arguments that gets user input, calculates a sum, and prints the output.
Exercise 3 defines a function that takes 3 arguments, finds the maximum value, and returns it. Exercise 4 contains a switch case statement to print a color based on user input.
Exercise 5 instructs the user to write a program to calculate electrical bills based on consumption tiers using input, switch case, if-else, and loops.
Dti2143 lab sheet 6
The document contains 4 exercises for a Computer Programming lab that focuses on selection and loop structures in C programming. The exercises include programs to calculate total and average prices using loops and selection statements, a program to draw a symmetrical triangle using a for loop, and a program to calculate internet charges at a villa based on usage hours and rates. Students are asked to study, modify, and analyze the code samples provided to better understand loops and conditional statements.
Lab 9 sem ii_12_13
There are errors in the function prototype and definition. The function prototype in line 4 declares the function as int fnAdd(int iValue1, int iValue2) but the definition in line 14 is int fnAdd(inum1, inum2). The parameter names must match between the prototype and definition.
What are the causes of conflicts (Bahasa Malaysia)
Meaning, Definition, Causes, types , Prevention conflict
Maksud, Definisi , Penyebab, Jenis , Pencegahan Konflik
Viewers also liked (6)
What are the causes of conflicts (Bahasa Malaysia)
What are the causes of conflicts (Bahasa Malaysia)
Similar to Final project
Final project
The document provides instructions for a final programming project for a computer programming class. Students must form groups of 1-4 members and choose one of three project options: a math quiz game, a tic-tac-toe game, or a program to predict horse movements on a board. The math quiz game would include 20 random questions from a pool of 50 and track answering times and top scores. The tic-tac-toe game would be for two human players. And the horse movement predictor would take user input of horse positions on an 8x8 grid and calculate the next move.
Defuzzification
This document discusses defuzzification in fuzzy logic. It defines defuzzification as the process of converting fuzzy quantities into crisp quantities. There are several reasons for and applications of defuzzification, such as converting fuzzy controller outputs into crisp values for applications. The document outlines the defuzzification process and several common defuzzification methods, including the centroid method, weighted average method, and max membership principle. It also discusses the lambda-cut and alpha-cut methods for deriving crisp values from fuzzy sets and relations.
Harnessing deep learning algorithms to predict software refactoring
During software maintenance, software systems need to be modified by adding or modifying source code. These changes are required to fix errors or adopt new requirements raised by stakeholders or market place. Identifying thetargeted piece of code for refactoring purposes is considered a real challenge for software developers. The whole process of refactoring mainly relies on software developers’ skills and intuition. In this paper, a deep learning algorithm is used to develop a refactoring prediction model for highlighting the classes that require refactoring. More specifically, the gated recurrent unit algorithm is used with proposed pre-processing steps for refactoring predictionat the class level. The effectiveness of the proposed model is evaluated usinga very common dataset of 7 open source java projects. The experiments are conducted before and after balancing the dataset to investigate the influence of data sampling on the performance of the prediction model. The experimental analysis reveals a promising result in the field of code refactoring prediction
Programming definitions on fuzzy logic and genetic algorithms
This document contains 6 problems related to fuzzy logic and genetic algorithms. It provides definitions for problems involving programming fuzzy logic concepts like membership functions and complement membership. It also provides definitions for genetic algorithm problems like single and double variable function optimization, and the traveling salesman problem. Sample functions are given that should be optimized or minimized. The problems range from 5-20 marks and involve writing computer programs to implement the given fuzzy logic or genetic algorithm concepts and problems.
ARTICLECooperating with machinesJacob W. Crandall 1, May.docx
ARTICLE
Cooperating with machines
Jacob W. Crandall 1, Mayada Oudah 2, Tennom3, Fatimah Ishowo-Oloko 2, Sherief Abdallah 4,5,
Jean-François Bonnefon6, Manuel Cebrian7, Azim Shariff8, Michael A. Goodrich 1 & Iyad Rahwan 7,9
Since Alan Turing envisioned artificial intelligence, technical progress has often been mea-
sured by the ability to defeat humans in zero-sum encounters (e.g., Chess, Poker, or Go). Less
attention has been given to scenarios in which human–machine cooperation is beneficial but
non-trivial, such as scenarios in which human and machine preferences are neither fully
aligned nor fully in conflict. Cooperation does not require sheer computational power, but
instead is facilitated by intuition, cultural norms, emotions, signals, and pre-evolved dis-
positions. Here, we develop an algorithm that combines a state-of-the-art reinforcement-
learning algorithm with mechanisms for signaling. We show that this algorithm can cooperate
with people and other algorithms at levels that rival human cooperation in a variety of two-
player repeated stochastic games. These results indicate that general human–machine
cooperation is achievable using a non-trivial, but ultimately simple, set of algorithmic
mechanisms.
DOI: 10.1038/s41467-017-02597-8 OPEN
1 Computer Science Department, Brigham Young University, 3361 TMCB, Provo, UT 84602, USA. 2 Khalifa University of Science and Technology, Masdar
Institute, P.O. Box 54224, Abu Dhabi, United Arab Emirates. 3 UVA Digital Himalaya Project, University of Virginia, Charlottesville, VA 22904, USA. 4 British
University in Dubai, Dubai, United Arab Emirates. 5 School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK. 6 Toulouse School of Economics
(TSM-Research), Centre National de la Recherche Scientifique, University of Toulouse Capitole, Toulouse 31015, France. 7 The Media Lab, Massachusetts
Institute of Technology, Cambridge, MA 02139, USA. 8 Department of Psychology and Social Behavior, University of California, Irvine, CA 92697, USA.
9 Institute for Data, Systems and Society, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. Correspondence
and requests for materials should be addressed to J.W.C. (email: [email protected]) or to I.R. (email: [email protected])
NATURE COMMUNICATIONS | (2018) 9:233 |DOI: 10.1038/s41467-017-02597-8 |www.nature.com/naturecommunications 1
12
3
4
5
6
7
8
9
0
()
:,;
http://orcid.org/0000-0002-5602-4146
http://orcid.org/0000-0002-5602-4146
http://orcid.org/0000-0002-5602-4146
http://orcid.org/0000-0002-5602-4146
http://orcid.org/0000-0002-5602-4146
http://orcid.org/0000-0003-3141-6159
http://orcid.org/0000-0003-3141-6159
http://orcid.org/0000-0003-3141-6159
http://orcid.org/0000-0003-3141-6159
http://orcid.org/0000-0003-3141-6159
http://orcid.org/0000-0003-3011-5047
http://orcid.org/0000-0003-3011-5047
http://orcid.org/0000-0003-3011-5047
http://orcid.org/0000-0003-3011-5047
http://orcid.org/0000-0003-3.
Introduction to computing Processing and performance.pdf
This document discusses analyzing the performance of computer programs through empirical analysis and mathematical modeling. It provides an example of empirically analyzing the running time of a 3-sum problem algorithm by running experiments with increasing input sizes, measuring times, plotting the results, and fitting the data to a mathematical model. The analysis suggests the algorithm runs in O(N3) time. Doubling the input size and verifying the predicted running time supports the performance hypothesis.
Computer Science CS Project Matrix CBSE Class 12th XII .pdf
The following project is based on Matrices and Determinants. It is a menu based program with data file and SQL Connectivity. The program is capable of performing all the complex functions of matrices and determinants that are mentioned in the Class 12th Math’s book. The ‘Menu’ of the program upon which it executes is as follows:
1: Generate a Random Matrix
2: Addition
3: Subtraction
4: Multiplication by a Scalar
5: Multiplication by a Matrix
6: Calculate Determinant
7: Calculate Minor
8: Calculate Cofactor
9: Calculate Adjoint
10: Transpose
11: Inversion
M017419499
This document presents a task allocation model for balancing resource utilization in a multiprocessor environment. It discusses partitioning a task into modules and allocating the modules to processors to minimize execution time. The model aims to minimize total execution cost while balancing the load across processors and minimizing inter-task communication costs. It presents the mathematical modeling and development of an algorithm to allocate m modules of a task to n processors. The algorithm considers execution costs, communication costs, and task sizes to determine the optimal allocation that balances utilization across processors. An example application of the model to a system with 3 processors and 9 task modules is provided.
MULTIPROCESSOR SCHEDULING AND PERFORMANCE EVALUATION USING ELITIST NON DOMINA...
Task scheduling plays an important part in the improvement of parallel and distributed systems. The problem of task scheduling has been shown to be NP hard. The time consuming is more to solve the problem in deterministic techniques. There are algorithms developed to schedule tasks for distributed environment, which focus on single objective. The problem becomes more complex, while considering biobjective.This paper presents bi-objective independent task scheduling algorithm using elitist Nondominated
sorting genetic algorithm (NSGA-II) to minimize the makespan and flowtime. This algorithm generates pareto global optimal solutions for this bi-objective task scheduling problem. NSGA-II is implemented by using the set of benchmark instances. The experimental result shows NSGA-II generates efficient optimal schedules.
A STRATEGIC HYBRID TECHNIQUE TO DEVELOP A GAME PLAYER
The document presents a strategic hybrid technique that combines minimax search and Aggregate Malanobis Distance Function (AMDF) to develop an intelligent game player for Awale, a mancala board game. The technique was tested in a series of 10 games against an existing Awale program at different skill levels. The results showed that the hybrid player performed well at initial levels and competed strongly at higher levels, defeating the existing program at some levels on average while losing to the grandmaster level program. The combination of minimax search and AMDF provides an efficient and adaptive approach for game playing.
Network Design and Management
This document discusses network design and management. It covers the systems development life cycle (SDLC) which involves planning, analysis, design, implementation, and maintenance phases. It also discusses network modeling, feasibility studies, capacity planning, creating a baseline, skills needed for a network manager, and generating useful statistics.
Hci md exam
This document is a 3-page exam for a Human Computer Interaction course. It contains 4 parts testing students' knowledge of HCI concepts and principles. Part 1 has 6 true/false questions worth 1.5 points each about system design and interface factors. Part 2 contains 8 multiple choice questions worth 2 points each related to HCI influences, usability, and interaction terms. Part 3 requires discussing the importance of HCI for e-business systems, describing 4 interaction styles, explaining human characteristics for design, and differentiating between slips and mistakes as human errors. The exam is out of a total of 35% and covers a range of foundational HCI topics.
A frugal-bidding-procedurefor-replicating-www-content
The document describes a frugal bidding mechanism for replicating web content across distributed sites on the internet. It uses game theoretical techniques and auctions to design a mechanism where selfish agent sites can bid in a way that encapsulates their own interests, while achieving desired system-wide goals of minimizing communication costs. The mechanism asks sites to bid truthfully based on their own costs and benefits. It is shown through experiments that this mechanism provides high quality solutions with fast execution times compared to other techniques like greedy algorithms, branch and bound, and genetic algorithms.
Ch14
Properly designing and managing a computer network is a difficult task that requires planning, analysis, capacity planning, and skills to keep up with changing technology. Network design follows a systematic process called the Systems Development Life Cycle (SDLC) which includes planning, analysis, design, implementation, and maintenance phases. Network models and diagrams are created to demonstrate the current and planned network configuration. Capacity planning determines necessary network bandwidth by analyzing current usage and projecting future needs. Baseline studies measure current network performance to determine future capacity requirements.
Informatics Practices (new) solution CBSE 2021, Compartment, improvement ex...
This document contains solutions to questions from a computer science examination. It includes questions on topics like Python, Pandas, SQL, data visualization, and computer networks. The solutions demonstrate how to write Python code to create and manipulate dataframes, plot charts, and perform SQL queries. Examples of network topologies and devices like switches, modems, and gateways are also provided. The document aims to test students' understanding of key concepts in informatics practices.
resume
Nikhil Sharma is seeking a position that allows him to utilize his skills in VLSI design and new technologies. He has an M.Tech in VLSI Design from Thapar University with 6.67 CGPA. His skills include EDA tools, hardware description languages like VHDL and Verilog, and software skills in C and C++. He has experience with architectures like 8085 and 8051 and their assembly programming. His M.Tech project involved residue number system scaling. He is currently working on a residue number system based processor. He secured 436 rank in GATE 2013 and has work experience as a testing engineer.
Failed handoffs in collaborative Wi-Fi networks
Cognitive radio networks enable a more efficient use of the radioelectric spectrum through dynamic access. Decentralized cognitive radio networks have gained popularity due to their advantages over centralized networks. The purpose of this article is to propose the collaboration between secondary users for cognitive Wi-Fi networks, in the form of two multi-criteria decision-making algorithms known as TOPSIS and VIKOR and assess their performance in terms of the number of failed handoffs. The comparative analysis is established under four different scenarios, according to the service class and the traffic level, within the Wi-Fi frequency band. The results show the performance evaluation obtained through simulations and experimental measurements, where the VIKOR algorithm has a better performance in terms of failed handoffs under different scenarios and collaboration levels.
IRJET- Jeevn-Net: Brain Tumor Segmentation using Cascaded U-Net & Overall...
This document presents Jeevn-Net, a new neural network architecture for brain tumor segmentation and overall survival prediction. Jeevn-Net uses a cascaded U-Net structure with two U-Nets and applies auto-encoder regularization. It takes in MRI scans and outputs a segmented tumor image with extracted features. Random forest regression is then used to predict survival based on these features. The network achieves state-of-the-art performance for brain tumor segmentation and survival prediction.
R programming lab 1 - jupyter notebook
1. The document outlines tasks to be performed in an R programming lab experiment including exploring assignment operators, creating vectors and matrices, performing operations on matrices, creating arrays, selecting and extracting elements, and exploring logical operators.
2. Matrices and vectors are created using functions like matrix(), c(), seq(), and rep(). Operations like addition, subtraction, multiplication and division are demonstrated on matrices and vectors.
3. Elements are selected and extracted from matrices and arrays using indexing and functions like ncol(), nrow(), length(), and dim(). Logical operators like &, |, ! are also explored.
4. The document shows how to remove elements from selected positions in a matrix.
A study of Machine Learning approach for Predictive Maintenance in Industry 4.0
I am delighted to share with you my graduation project presentation submitted for the award of Bachelor degree in #electromechanical_engineering.
#subject : A study of machine Learning approach for predictive maintenance in industry 4.0
>> the aim of the project is to Build and Develop Machine Learning models to predict Time-To-Failure (TTF) or Remaining Useful Life (RUL) of in-service equipment in order to pre-emptively trigger a maintenance visit to avoid adverse machine performance and minimizing the number and cost of unscheduled machine failures.
Technologies used: #Python, #TensorFlow, #Keras, #Sklearn, #RNN_LSTM, #XGboost, #LightGBM, #CATboost, #KNN, #SVM, #GaussianNB
>>> The Global Predictive Maintenance Market size is expected to reach $12.7 billion by 2025, rising at a market growth of 28.4% CAGR during the forecast period
#July_2019
#machine_learning
#deep_learning
#predictive_maintenance
#industry_4.0
(confidential details not presented)
LinkedIN : https://www.linkedin.com/posts/mohsen-sadok-254b0a110_a-study-of-machine-learning-approach-for-activity-6550815214206627840-Pq3G
Similar to Final project (20)
Harnessing deep learning algorithms to predict software refactoring
Harnessing deep learning algorithms to predict software refactoring
Programming definitions on fuzzy logic and genetic algorithms
Programming definitions on fuzzy logic and genetic algorithms
ARTICLECooperating with machinesJacob W. Crandall 1, May.docx
ARTICLECooperating with machinesJacob W. Crandall 1, May.docx
Introduction to computing Processing and performance.pdf
Introduction to computing Processing and performance.pdf
Computer Science CS Project Matrix CBSE Class 12th XII .pdf
Computer Science CS Project Matrix CBSE Class 12th XII .pdf
MULTIPROCESSOR SCHEDULING AND PERFORMANCE EVALUATION USING ELITIST NON DOMINA...
MULTIPROCESSOR SCHEDULING AND PERFORMANCE EVALUATION USING ELITIST NON DOMINA...
A STRATEGIC HYBRID TECHNIQUE TO DEVELOP A GAME PLAYER
A STRATEGIC HYBRID TECHNIQUE TO DEVELOP A GAME PLAYER
A frugal-bidding-procedurefor-replicating-www-content
A frugal-bidding-procedurefor-replicating-www-content
Informatics Practices (new) solution CBSE 2021, Compartment, improvement ex...
Informatics Practices (new) solution CBSE 2021, Compartment, improvement ex...
IRJET- Jeevn-Net: Brain Tumor Segmentation using Cascaded U-Net & Overall...
IRJET- Jeevn-Net: Brain Tumor Segmentation using Cascaded U-Net & Overall...
A study of Machine Learning approach for Predictive Maintenance in Industry 4.0
A study of Machine Learning approach for Predictive Maintenance in Industry 4.0
More from alish sha
T22016 – how to answer with ubs 9
How to answer practical examination question of computerised accounting / accounting information system using UBS 9.0
July 2014 theory exam (theory)
The document contains questions from a July 2014 theory exam for accounting. It includes questions on the accounting equation, understandability and comparability, defining liabilities and recording them, differentiating between cash books and petty cash books, identifying which ledger accounts have debit or credit balances, differentiating between debtors and creditors, listing accounts created in a general ledger, and identifying reports that can be printed from an accounting system. The document provides sample answers to the questions.
Accounting basic equation
The document provides information on key accounting concepts and the accounting process. It discusses how accounting measures and reports on business transactions and activities in financial terms. The accounting process involves analyzing, recording, classifying, summarizing, and reporting transactions. It also covers the basic accounting equation of assets equaling liabilities plus equity. Several key accounting concepts are defined, including the business entity, realization, accrual, and matching concepts.
It 302 computerized accounting (week 2) - sharifah
Here are some potential ways to represent relational databases other than using tables and relationships:
- Graph databases: Represent data as nodes, edges, and properties. Nodes represent entities, edges represent relationships between entities. Good for highly connected data.
- Document databases: Store data in flexible, JSON-like documents rather than rigid tables. Good for semi-structured or unstructured data.
- Multidimensional databases (OLAP cubes): Represent data in cubes with dimensions and measures. Good for analytical queries involving aggregation and slicing/dicing of data.
- Network/graph databases: Similar to graph databases but focus more on network properties like paths, connectivity etc. Good for social networks, recommendation systems.
-
It 302 computerized accounting (week 1) - sharifah
This document provides an overview of an accounting information systems course. It defines accounting information systems and management information systems, and distinguishes between the two. It describes the primary business flows within a company and how different user groups require different types of information. The document outlines the data processing cycle, including data input, storage, processing, and output. It also discusses transaction processing systems and enterprise resource planning systems, outlining their advantages and disadvantages.
Lab 10 sem ii_12_13
This document contains code examples and questions about functions in C programming. It demonstrates passing arguments to functions by value and by address, as well as recursion using a factorial function.
The code samples show how arguments are passed differently depending on whether they are passed by value or by reference. The factorial function recursively calls itself to calculate the factorial of a given number.
Lab 6
1. The document discusses different types of loops in computer programming including while, do-while, and for loops.
2. Examples are provided to illustrate the syntax and usage of each loop type. While and do-while loops test the condition at the start or end of each iteration. For loops allow specifying an initial value, condition, and counter update.
3. Nested loops are also demonstrated with an example program that prints a triangle pattern using loops within loops. Exercises are included to write and run loop programs.
Lab 5 2012/2012
The document provides information on various selection control structures in C programming:
1. If structure - executes statements if a condition is true.
2. If-else structure - executes one set of statements if a condition is true, and another set if false.
3. If-else if structure - checks multiple conditions in sequence.
4. Switch structure - tests a variable against multiple constant values, and executes one set of statements for true cases.
5. Goto structure - unconditionally transfers control to another part of the program.
Lab sheet 1
The document provides instructions for a lab exercise on computer programming basics. It includes objectives to identify variables, input/output statements, and how to write pseudo code and draw flowcharts. Examples of pseudo code and a flowchart are given to calculate the result of a value multiplied by 3. Exercises include determining the purpose of sample C programs, identifying their variables, statements, and features. Pseudo code and a flowchart are to be written for a compound interest calculation program based on given variables, calculations, and output.
Lab 6 sem ii_11_12
The document provides instructions for a programming exercise to analyze student exam results. Students must write a program that inputs 15 exam scores, categorizes them as pass or fail based on a score range, counts the number of passes and fails, and prints a summary. If more than 6 students failed, a message about needing teaching improvements should also print.
Test 1 skema q&a
The document contains code for a C program that calculates the mass of oil in a tank. The program prompts the user to enter the oil density and tank volume, and allows the user to specify whether the volume is in centimeters or meters. It then calculates the mass based on the density and volume, and displays the result. The user is given the option to recalculate with new values.
Carry markdam31303
This document contains a matrix listing the names, identification codes, and ages of 31 individuals. The matrix includes their name, identification code, and total age. Ages range from 36 to 55 years old.
Final project
This document provides instructions for a final project assignment in a computer programming course. Students are asked to form groups of 1-4 members, choose a project topic from three options, and submit their group name and members to the instructor. The three project options are a math quiz game, a tic tac toe game, or a program to predict horse movements.
Dti2143 dam31303 lab sheet 8
The document contains instructions for 3 programming exercises:
1. Write a program to calculate student marks using functions like main(), getio(), calc(), disp().
2. Study a program using goto statements to direct program flow based on user input, then rewrite the program as an example using goto.
3. Rewrite a program that prints out the elements of a 2D array to instead: accept 12 numbers as input, calculate the total, and calculate the average.
Math hquickissential
The math.h header file declares functions for common mathematical operations like powers, logarithms, trigonometric functions, rounding and absolute values. It allows using functions like pow() to calculate powers, sqrt() for square roots, sin() cosine() and tan() for trigonometric functions, log() for logarithms and exp() for exponents, and fabs() for absolute values in C code. Examples are provided to demonstrate how to use these functions by including math.h and passing parameters to functions like pow(), sqrt(), sin(), etc. to perform operations and print outputs.
Rpp
This document provides information on a Computer Programming course, including its goals, learning objectives, content outline, assignments, assessment, and references. The course aims to introduce programming concepts using the C language. Over 14 weeks, students will learn about programming history, algorithms, C language structure, operators, control statements, functions, and arrays. Assessment includes quizzes, assignments, tests, a project, and a final exam. Students must attend at least 80% of lectures.
Dam31303 lab sheet 4
The document provides instructions for writing programs to calculate the circumference and area of a circle, average velocity given position and time values, the heat required to change the temperature of mercury by a given amount, and the total amount a customer must pay for various items purchased based on given prices. It includes relevant formulas and example calculations for each problem, and specifies the expected structure and input/output of the programs.
Lab exe 2 dti 2143 dam31303
This document contains the code for several short C programming exercises and instructions to modify and run the code. It demonstrates basic C programming concepts like variables, input/output, arithmetic operators, and debugging code. The exercises are meant to teach debugging skills and understanding how programs work by stepping through the code line-by-line.
Copy of dti2143/dam31303 chap 1 problem solving and program design
The document discusses program design methods including pseudocode, flowcharts, and their conventions. It provides examples of pseudocode for different problems and their corresponding flowcharts. Key points covered are the basic structure of pseudocode using keywords, and the common symbols used in flowcharts to represent different elements like processes, decisions, and flow of steps.
More from alish sha (20)
It 302 computerized accounting (week 2) - sharifah
It 302 computerized accounting (week 2) - sharifah
It 302 computerized accounting (week 1) - sharifah
It 302 computerized accounting (week 1) - sharifah
Copy of dti2143/dam31303 chap 1 problem solving and program design
Copy of dti2143/dam31303 chap 1 problem solving and program design
Recently uploaded
Hamster Kombat' Telegram Game Surpasses 100 Million Players—Token Release Sch...
Hamster Kombat' Telegram Game Surpasses 100 Million Players—Token Release Schedule Unveiled
Satta Matka Dpboss Matka Guessing Kalyan Chart Indian Matka Kalyan panel Chart
Satta Matka Dpboss Matka Guessing Kalyan Chart Indian Matka Kalyan panel Chart➒➌➎➏➑➐➋➑➐➐Dpboss Matka Guessing Satta Matka Kalyan Chart Indian Matka
SATTA MATKA SATTA FAST RESULT KALYAN TOP MATKA RESULT KALYAN SATTA MATKA FAST RESULT MILAN RATAN RAJDHANI MAIN BAZAR MATKA FAST TIPS RESULT MATKA CHART JODI CHART PANEL CHART FREE FIX GAME SATTAMATKA ! MATKA MOBI SATTA 143 spboss.in TOP NO1 RESULT FULL RATE MATKA ONLINE GAME PLAY BY APP SPBOSSThe Evolution and Impact of OTT Platforms: A Deep Dive into the Future of Ent...
This presentation provides a thorough examination of Over-the-Top (OTT) platforms, focusing on their development and substantial influence on the entertainment industry, with a particular emphasis on the Indian market.We begin with an introduction to OTT platforms, defining them as streaming services that deliver content directly over the internet, bypassing traditional broadcast channels. These platforms offer a variety of content, including movies, TV shows, and original productions, allowing users to access content on-demand across multiple devices.The historical context covers the early days of streaming, starting with Netflix's inception in 1997 as a DVD rental service and its transition to streaming in 2007. The presentation also highlights India's television journey, from the launch of Doordarshan in 1959 to the introduction of Direct-to-Home (DTH) satellite television in 2000, which expanded viewing choices and set the stage for the rise of OTT platforms like Big Flix, Ditto TV, Sony LIV, Hotstar, and Netflix. The business models of OTT platforms are explored in detail. Subscription Video on Demand (SVOD) models, exemplified by Netflix and Amazon Prime Video, offer unlimited content access for a monthly fee. Transactional Video on Demand (TVOD) models, like iTunes and Sky Box Office, allow users to pay for individual pieces of content. Advertising-Based Video on Demand (AVOD) models, such as YouTube and Facebook Watch, provide free content supported by advertisements. Hybrid models combine elements of SVOD and AVOD, offering flexibility to cater to diverse audience preferences.
Content acquisition strategies are also discussed, highlighting the dual approach of purchasing broadcasting rights for existing films and TV shows and investing in original content production. This section underscores the importance of a robust content library in attracting and retaining subscribers.The presentation addresses the challenges faced by OTT platforms, including the unpredictability of content acquisition and audience preferences. It emphasizes the difficulty of balancing content investment with returns in a competitive market, the high costs associated with marketing, and the need for continuous innovation and adaptation to stay relevant.
The impact of OTT platforms on the Bollywood film industry is significant. The competition for viewers has led to a decrease in cinema ticket sales, affecting the revenue of Bollywood films that traditionally rely on theatrical releases. Additionally, OTT platforms now pay less for film rights due to the uncertain success of films in cinemas.
Looking ahead, the future of OTT in India appears promising. The market is expected to grow by 20% annually, reaching a value of ₹1200 billion by the end of the decade. The increasing availability of affordable smartphones and internet access will drive this growth, making OTT platforms a primary source of entertainment for many viewers.
Recruiting in the Digital Age: A Social Media Masterclass
In this masterclass, presented at the Global HR Summit on 5th June 2024, Luan Wise explored the essential features of social media platforms that support talent acquisition, including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok.
buy old yahoo accounts buy yahoo accounts
As a business owner, I understand the importance of having a strong online presence and leveraging various digital platforms to reach and engage with your target audience. One often overlooked yet highly valuable asset in this regard is the humble Yahoo account. While many may perceive Yahoo as a relic of the past, the truth is that these accounts still hold immense potential for businesses of all sizes.
Income Tax exemption for Start up : Section 80 IAC
A presentation on the concept of Exemption of Profits of Start ups from Income Tax
Best Forex Brokers Comparison in INDIA 2024
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...
Evgen Osmak: Methods of key project parameters estimation: from the shaman-inspired to the data-driven praxis (UA)
Kyiv PMDay 2024 Summer
Website – www.pmday.org
Youtube – https://www.youtube.com/startuplviv
FB – https://www.facebook.com/pmdayconference
Business storytelling: key ingredients to a story
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
Structural Design Process: Step-by-Step Guide for Buildings
The structural design process is explained: Follow our step-by-step guide to understand building design intricacies and ensure structural integrity. Learn how to build wonderful buildings with the help of our detailed information. Learn how to create structures with durability and reliability and also gain insights on ways of managing structures.
3 Simple Steps To Buy Verified Payoneer Account In 2024
Buy Verified Payoneer Account: Quick and Secure Way to Receive Payments
Buy Verified Payoneer Account With 100% secure documents, [ USA, UK, CA ]. Are you looking for a reliable and safe way to receive payments online? Then you need buy verified Payoneer account ! Payoneer is a global payment platform that allows businesses and individuals to send and receive money in over 200 countries.
If You Want To More Information just Contact Now:
Skype: SEOSMMEARTH
Telegram: @seosmmearth
Gmail: seosmmearth@gmail.com
一比一原版新西兰奥塔哥大学毕业证（otago毕业证）如何办理
一模一样【微信：A575476】【新西兰奥塔哥大学毕业证（otago毕业证）成绩单Offer】【微信：A575476】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，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）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，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
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
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...
Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
The 10 Most Influential Leaders Guiding Corporate Evolution, 2024.pdf
In the recent edition, The 10 Most Influential Leaders Guiding Corporate Evolution, 2024, The Silicon Leaders magazine gladly features Dejan Štancer, President of the Global Chamber of Business Leaders (GCBL), along with other leaders.
Organizational Change Leadership Agile Tour Geneve 2024
Organizational Change Leadership at Agile Tour Geneve 2024
Call 8867766396 Satta Matka Dpboss Matka Guessing Satta batta Matka 420 Satta...
CALL 8867766396 SATTA MATKA | DPBOSS | KALYAN MAIN BAZAR | FAST MATKA | DPBOSS GUESSING | TARA MATKA | KALYAN CHART | MATKA BOSS
Recently uploaded (20)
Hamster Kombat' Telegram Game Surpasses 100 Million Players—Token Release Sch...
Hamster Kombat' Telegram Game Surpasses 100 Million Players—Token Release Sch...
Satta Matka Dpboss Matka Guessing Kalyan Chart Indian Matka Kalyan panel Chart
Satta Matka Dpboss Matka Guessing Kalyan Chart Indian Matka Kalyan panel Chart
The Evolution and Impact of OTT Platforms: A Deep Dive into the Future of Ent...
The Evolution and Impact of OTT Platforms: A Deep Dive into the Future of Ent...
Recruiting in the Digital Age: A Social Media Masterclass
Recruiting in the Digital Age: A Social Media Masterclass
The Influence of Marketing Strategy and Market Competition on Business Perfor...
The Influence of Marketing Strategy and Market Competition on Business Perfor...
Income Tax exemption for Start up : Section 80 IAC
Income Tax exemption for Start up : Section 80 IAC
Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...
Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...
Structural Design Process: Step-by-Step Guide for Buildings
Structural Design Process: Step-by-Step Guide for Buildings
3 Simple Steps To Buy Verified Payoneer Account In 2024
3 Simple Steps To Buy Verified Payoneer Account In 2024
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s Dholera
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s Dholera
The 10 Most Influential Leaders Guiding Corporate Evolution, 2024.pdf
The 10 Most Influential Leaders Guiding Corporate Evolution, 2024.pdf
Organizational Change Leadership Agile Tour Geneve 2024
Organizational Change Leadership Agile Tour Geneve 2024
Call 8867766396 Satta Matka Dpboss Matka Guessing Satta batta Matka 420 Satta...
Call 8867766396 Satta Matka Dpboss Matka Guessing Satta batta Matka 420 Satta...
Final project
- 2. Choose a name, list down you members and pass it to me this instant.
- 3. Discuss with your team member to choose 1 project between this three project
- 6. The 20 question are a random question from 50 question prepared in the program.
- 7. The program must be able to calculate total and average answering time for each question
- 8. Top 10 player information will be kept as long as the window is not close.
- 9. Hint: use rand(),time.h, time_t.
- 10. TIC TAC TOE
- 11. Program rules:
- 12. Program 3 X 3 metric’s TIC TAC TOE
- 13. Two player involve : Human VS Human
- 14. Prediction of horse movement
- 15. User input the coordinate base on 8X8 matrix
- 16. From the information receive from the user, calculate the next move and show in the chart.