scholarly journals Performance Comparison of CRUD Methods using NET Object Relational Mappers: A Case Study

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Doina Zmaranda ◽  
Lucian-Laurentiu Pop-Fele ◽  
Cornelia Gyorödi ◽  
Robert Gyorödi ◽  
George Pecherle
Keyword(s):  
Performance Comparison ◽  
Object Relational

Performance Comparison of Web Backend And Database: A Case Study Of Node.JS, Golang and MySQL, MongoDB

2019 ◽  
Vol 13 ◽  
Author(s):  
Faried Effendy ◽  
Taufik ◽  
Bramantyo Adhilaksono
Keyword(s):  
Response Time ◽  
Open Source ◽  
Poisson Distribution ◽  
Mobile Application ◽  
Web Applications ◽  
Performance Comparison ◽  
Memory Usage ◽  
Data Traffic ◽  
Cpu Utilization

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.

scholarly journals Performance Comparison of Analytical Models for Rotor Eccentricity: A Case Study of Active Magnetic Bearing

2020 ◽  
Vol 25 (2) ◽  
pp. 285-292
Author(s):  
Zhi Cao ◽  
Yunkai Huang ◽  
Baocheng Guo ◽  
Jianning Dong ◽  
Fei Peng
Keyword(s):  
Magnetic Bearing ◽  
Performance Comparison ◽  
Active Magnetic Bearing ◽  
Analytical Models ◽  
Rotor Eccentricity

scholarly journals Introducing an Educational Tool for Learning Branch & Bound Strategy

2017 ◽  
Vol 3 (1) ◽  
pp. 8 ◽  
Author(s):  
Sofriesilero Zumaytis ◽  
Oscar Karnalim
Keyword(s):  
Qualitative Evaluation ◽  
Performance Comparison ◽  
Brute Force ◽  
Educational Tool ◽  
Breadth First Search ◽  
Cost Matrix ◽  
Algorithm Visualization ◽  
Case Based

Abstract—According to our informal survey, Branch & Bound strategy is considerably difficult to learn compared to other strategies. This strategy consists of several complex algorithmic steps such as Reduced Cost Matrix (RCM) calculation and Breadth First Search. Thus, to help students understanding this strategy, AP-BB, an educational tool for learning Branch & Bound is developed. This tool includes four modules which are Brute Force solving visualization, Branch & Bound solving visualization, RCM calculator, and case-based performance comparison. These modules are expected to enhance student’s understanding about Branch & Bound strategy and its characteristics. Furthermore, our work incorporates TSP as its case study and Brute Force strategy as a baseline to provide a concrete impact of Branch & Bound strategy. According to our qualitative evaluation, AP-BB and all of its features fulfil student necessities for learning Branch & Bound strategy. Keywords— Educational Tool; Branch & Bound; Algorithm Strategy; Algorithm Visualization

scholarly journals Performance Comparison of Asymmetric Cryptography (Case study- Mail message)

2019 ◽  
Vol 4 (3) ◽  
pp. 105-111
Author(s):  
Zarni Sann ◽  
Thi thi Soe ◽  
Kaythi Wyut Mhone Knin ◽  
Zin May Win
Keyword(s):  
Computation Time ◽  
Performance Comparison ◽  
Sql Server ◽  
Sensitive Data ◽  
Rsa Algorithm ◽  
Mail Server ◽  
C Programming ◽  
Elgamal Encryption ◽  
Server System

Encryption is a well known technology for protecting sensitive data. ElGamal encryption and RSA algorithm is made before storing mails to mail server. ElGamal decryption and RSA decryption is made after retrieving mails from mail server. This system is implemented to secure mail server system for local government’s important mail messages. These algorithms consume a considerable amount of time and resources such as memory, CPU time, and computation time to encrypt and decrypt data. In this paper, the results are comparison of these algorithms in term of encryption time, decryption time, and memory usage over variable file sizes. After processing, it is proven that RSA performs a faster encryption process than ElGamal. However, ElGamal decryption process is faster than RSA. This system is also expressed comparison of storage Size between RSA and ElGamal. Both of these algorithms are cryptographic public-key algorithms but have functions in different ways. This system is using C# programming language and SQL Server to store mail messages.

Performance Comparison of Named Data and IP-based Network—Case Study on the Indonesia Higher Education Network

2018 ◽  
pp. 612-617
Author(s):  
Nana Rachmana Syambas ◽  
◽  
Harashta Tatimma ◽  
Alvin Mustafa ◽  
Fajar Pratama
Keyword(s):  
Higher Education ◽  
Performance Comparison ◽  
Education Network

scholarly journals The Analysis of Plant’s Organic Volatiles Compounds with Electronic Nose and Pattern Recognition Techniques

2011 ◽  
pp. 115-126
Author(s):  
Reza Ghaffari ◽  
Fu Zhang ◽  
Daciana Iliescu ◽  
Evor Hines ◽  
Mark Leeson ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Electronic Nose ◽  
Disease Diagnosis ◽  
Performance Comparison ◽  
Plant Pest ◽  
Organic Volatiles ◽  
Greenhouse Plant ◽  
Diagnosis Tool ◽  
Volatiles Compounds

In this chapter, the authors introduce the principles of some of the most widely used supervised and unsupervised Pattern Recognition (PR) techniques and assess behaviour and performances. A dataset acquired from a set of experiments conducted at University of Warwick is employed to construct a case study in which the techniques will be applied. The chapter will also evaluate the integration of PR methods with an Electronic Nose (EN) device to develop and implement a plant diagnosis tool based on discriminating the Organic Volatile Compounds (VOC) released by plants when attacked by pest. The chapter concludes with a performance comparison and a brief discussion of how an appropriate PR technique can be coupled with an EN to produce a greenhouse plant pest and disease diagnosis system for day-to-day utilisation. Some consideration of further work is also presented.

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