GerminaQuant: a new tool for germination measurements

Abstract:The seed technologies related with germination and seed research has provided unprecedented opportunities for the biologic research community. Researchers require such information to rapidly determine the speed of seedling emergence. However, an immense amount of data must be analyzed to achieve this goal. In this paper, we introduce a computer software designed for broad use to facilitate the understanding of germination processes and their analysis. GerminaQuant 1.0 was written in the C++ programming language and presents a user-friendly interface. The accuracy of the software was tested using fifty different matrices, whose output values were compared with other spreadsheets available on the web. With data analysis, we showed that the GerminaQuant is capable of generating mathematical calculations with extreme accuracy, besides have a good performance and wide ease of use in any kind of computer. In addition, the new software has been tested by at least eighty users, which compared functionality, designer and accuracy of the output data. In all variables, the GerminaQuant was evaluated as superior compared to other spreadsheets available on the web. The full GerminaQuant package (for Windows(r), Macintosh(r) and Linux(r)) is freely available to the scientific community and can be easily downloaded from the website (http://www.ufpe.br/lev).

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The Impact of Term Fake News on the Scientific Community. Scientific Performance and Mapping in Web of Science

Social Sciences ◽

10.3390/socsci9050073 ◽

2020 ◽

Vol 9 (5) ◽

pp. 73 ◽

Cited By ~ 1

Author(s):

Santiago Alonso García ◽

Gerardo Gómez García ◽

Mariano Sanz Prieto ◽

Antonio José Moreno Guerrero ◽

Carmen Rodríguez Jiménez

Keyword(s):

Scientific Community ◽

Web Of Science ◽

Research Community ◽

Fake News ◽

Scientific Performance ◽

Impact Indicators ◽

The World ◽

Multidisciplinary Perspective ◽

The Impact ◽

The Web

Nowadays, multiple phenomena have promoted an impact on society, constituting in some cases, not only a contribution of benefits but also of risks. Among them, the fake news phenomenon is considered one of the most burning phenomena today due to the risk it poses to society. In view of this situation, the research community has carried out numerous studies that seek to address this issue from a multidisciplinary perspective. Based on this, the objective of this work was to analyze the productivity and, therefore, the impact of this topic in the research community. To this end, this work advocated a scientometric-type methodology, through scientometric laws, impact indicators, and scientific evolution of 640 publications of the web of science (WOS). The results showed the impact of the fake news discipline today, which is considered an emerging issue that is of interest to many knowledge disciplines around the world. Likewise, the results showed that the publications not only have a focus on analyzing the veracity or not of the news, but that it begins to vertebrate a new line of an investigation directed to the informational education and towards the prevention of the consumption of this type of news through the internet.

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Design and Implementation of the Web-based Learning System for C Programming Language

KIISE Transactions on Computing Practices ◽

10.5626/ktcp.2014.20.12.640 ◽

2014 ◽

Vol 20 (12) ◽

pp. 640-645

Author(s):

Yeomyeong Woo ◽

Jiwoong Bang ◽

Jaemin Song ◽

Jinyeong Yoo ◽

Sangjun Lee

Keyword(s):

Programming Language ◽

Learning System ◽

Web Based ◽

C Programming Language ◽

Design And Implementation ◽

Web Based Learning ◽

C Programming ◽

The Web

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An Educational Visual C++ Program Aid to Estimate Fuel Consumption for Tillage Equipment Based on Trained Artificial Neural Network

Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Agriculture ◽

10.15835/buasvmcn-agr:5104 ◽

2010 ◽

Vol 67 (1) ◽

Author(s):

Abdulrahman AL-JANOBI ◽

Saad AL-HAMED ◽

Abdulwahed ABOUKARIMA

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fuel Consumption ◽

Undergraduate Students ◽

Field Experiments ◽

Soil Conditions ◽

C Programming Language ◽

C Programming ◽

Artificial Neural ◽

User Friendly

An educational program was developed to assist graduate and undergraduate students to estimate fuel consumption for tillage equipment. It supports to select the appropriate power of an agricultural tractor to operate with a particular tillage implement in specific operation and soil conditions to minimize fuel consumption. The program was written in visual C++ programming language. The program was based on training library of an artificial neural network. The program offers an educational help and clarification to most of the affecting parameters on fuel consumption. The program was validated by comparing predicted fuel consumption with the results obtained during field experiments. The program has proven to be very user-friendly and efficient to meet the requirement.

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Text Language Identification Using Letters (Frequency, Self-information, and Entropy) Analysis for English, French, and German Languages

Journal of Southwest Jiaotong University ◽

10.35741/issn.0258-2724.54.4.21 ◽

2019 ◽

Vol 54 (4) ◽

Author(s):

Rasha Hassan Abbas ◽

Firas Abdul Elah Abdul Kareem

Keyword(s):

Computer Software ◽

Language Identification ◽

Entropy Analysis ◽

Original Language ◽

C Programming Language ◽

Detection Program ◽

C Programming ◽

The World ◽

Internet Router ◽

Text Language

People illustrate the world, convey stories, share ideas, and interconnect in over 6900 languages. Information on the Internet may appear unlimited. All over history, electrical and computer experts have built tools such as telephone, telegraph and internet router, which have helped people communicate. Computer software that can translate between languages stands for one of such tools. The first step of translating a text is to categorize its language. In this research, self-identification program of text language was designed and tested depending on text letters (frequency, self-information, and entropy of certain chosen letters) for the English, French and German languages. The research, trying to detect the original language, is successful of detecting these languages, after applied to randomly selected text files. The detection program was written using C++ programming language.

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Electronic Assessment and Self-Paced Learning on the Web Using a Multiple-Choice Quiz Generator

International Journal of Electrical Engineering Education ◽

10.7227/ijeee.37.2.1 ◽

2000 ◽

Vol 37 (2) ◽

pp. 119-125 ◽

Cited By ~ 4

Author(s):

A. Carbone ◽

P. Schendzielorz ◽

J. D. Zakis

Keyword(s):

Computer Science ◽

Programming Language ◽

Multiple Choice ◽

Educational Assessment ◽

First Year ◽

Web Based ◽

C Programming Language ◽

Electronic Assessment ◽

C Programming ◽

The Web

This paper describes the work of an advanced first-year student in the Department of Computer Science, Monash University, who developed a Web-based multiple-choice quiz. It highlights the unique quiz features, and its use by students and staff. The paper describes how the quiz was incorporated into the first-year computer programming unit, which is based on the C programming language, and presents a conduit of attitudes useful to those who are planning to use the Web as a resource for educational assessment. It also describes some aspects of introduction of the quiz into engineering and Java.

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RANCANG BANGUN PURWARUPA SISTEM PENDETEKSI KENDARAAN MENGGUNAKAN PUSTAKA OPENCV

Electro Luceat ◽

10.32531/jelekn.v1i1.3 ◽

2015 ◽

Vol 1 (1) ◽

Author(s):

Markus Dwiyanto Tobi

Keyword(s):

Detection System ◽

Pedestrian Bridge ◽

C Programming Language ◽

C Programming ◽

Web Camera ◽

Computer Vision Technology ◽

Time Average ◽

Vehicle Travel Time ◽

Background Image ◽

The Web

Video monitors traffic generally does not detect the speed, quantity, and length of passing vehicles. This research provides the design, manufacture, and analysis of vehicle detection system with computer vision technology using OpenCV library. The system can display the output of the number, speed, and length of the vehicle. The study was conducted using OpenCV as a library of C++ programming language. In this research tool used is a web camera mounted on the pedestrian bridge. Web cameras will record the movement of the vehicle at a certain distance. To detect the movement of vehicles, we need a background image. Background image was obtained by using the method of Time Average Background Image (TABI). Reduction of pixels between the background image with the image captured by the web camera will produce a vehicle is detected. The vehicles will be marked with a red box. The speed of a vehicle can be measured by dividing the distance traveled by the vehicle travel time of vehicles. This system has been successfully calculate the speed of a passing car with an error range of about 2.44 to 4 percent. The number of vehicles can also be calculated with an error of 26.7 percent, and the length of the vehicle can also be calculated with an error of 11%.

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Toward a More Robust Home Automated System

International Journal of Information Technology and Web Engineering ◽

10.4018/ijitwe.2019070105 ◽

2019 ◽

Vol 14 (3) ◽

pp. 78-92

Author(s):

Segun Aina ◽

Samuel Dayo Okegbile ◽

Adeniran Ishola Oluwaranti ◽

Oghenerukome Brenda Okoro ◽

Tayo Obasanya

Keyword(s):

Language Processing ◽

Ease Of Use ◽

Automated System ◽

Complete Control ◽

Human Voice ◽

C Programming Language ◽

C Programming ◽

Natural Language Processing Tool ◽

Reasonable Limit ◽

The Mean

The work reported in this article developed a home automated system using voice activation. This is with a view to providing users complete control over electrical appliances using simple easy to remember voice commands on an Android mobile device. This work was implemented using the Atmega 328 microcontroller, Relays and a Wi-Fi shield. The human voice is first converted to text using a Natural language processing tool from the Android based application. Thereafter, the text is sent over the internet via the PubNub to the microcontroller. The Atmega 328 microcontroller was programmed on an Arduino using C programming language and the Android based application was developed using Android Software Development Kit. Results obtained from the testing show that the implemented system achieves the mean scores of 8, 7.6, and 7.2 for ease of use, learnability and effectiveness respectively justifying the fact that the system is capable of controlling appliances by changing their state (ON/OFF) from remote a location with a response time within the reasonable limit.

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Toward a More Robust Home Automated System

10.4018/978-1-6684-3694-3.ch040 ◽

2022 ◽

pp. 825-841

Author(s):

Segun Aina ◽

Samuel Dayo Okegbile ◽

Adeniran Ishola Oluwaranti ◽

Oghenerukome Brenda Okoro ◽

Tayo Obasanya

Keyword(s):

Language Processing ◽

Ease Of Use ◽

Automated System ◽

Complete Control ◽

Human Voice ◽

C Programming Language ◽

C Programming ◽

Natural Language Processing Tool ◽

Reasonable Limit ◽

The Mean

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Application of FEM Mesh Generation Algorithm for Digital Processing of Handmade Sketches

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.797.19 ◽

2015 ◽

Vol 797 ◽

pp. 19-26

Author(s):

Marcin Gryniewicz ◽

Jerzy K. Szlendak

Keyword(s):

Mesh Generation ◽

Input Data ◽

Computer Software ◽

Digital Processing ◽

Engineering Structures ◽

User Input ◽

C Programming Language ◽

C Programming ◽

Different Shapes ◽

Processing Algorithms

Handmade sketches of different shapes roof structures, often with openings, are outlined on plain sheet of paper. Then, they are transformed by a 2D mesh generation and applied to FEM calculations. Algorithm where only main coordinates of nodes are used as user input data is studied by the Authors. Shape of the surface, its curvature and openings are detected through the procedures developed in the C++ programming language. A particular emphasis is put to the automation of the process. At a present version the method is used for rectangular shapes, which are quite common in civil engineering structures e.g. building elevations. Detection and processing algorithms are implemented with a usage of a library based on a open code called OpenCV. The computer software is described in this paper and some examples are given

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Device for the remote measurement of meteorological data based on Arduino platform

Serbian Journal of Electrical Engineering ◽

10.2298/sjee1601133t ◽

2016 ◽

Vol 13 (1) ◽

pp. 133-144 ◽

Cited By ~ 1

Author(s):

Mihajlo Tatovic ◽

Alenka Milovanovic ◽

Ivan Karapandzic

Keyword(s):

Web Application ◽

Meteorological Data ◽

Weather Conditions ◽

Remote Measurement ◽

C Programming Language ◽

C Programming ◽

Recorded Data ◽

The Republic ◽

Sd Card ◽

The Web

The aim of this paper is to present a realization of a device for displaying, monitoring, and recording non-electrical quantities relevant to the determination and examination of weather conditions. The main unit of this device is the Arduino platform, which controls digital sensors and the GSM module used for communication with user. To accomplish that, the GSM module responds to SMS with the current values of parameters that are being monitored. Also, it uses the GPS service, which allows an Internet connection and sends data back to the Web application. When the Web application receives these data, it processes them and saves them in a MySQL database. The device has the ability to record data on an SD card. A user application is created in C# programming language and allows reading of the recorded data from the SD card and handling of such data. All of results obtained by this device is compared with the results gathered by the Republic Hydrometeorogical Service of Serbia.

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