Integrated Development Environment Research Articles

Penerapan Metode Harris Benedict Pada Media Informasi Kebutuhan Gizi Harian Berbasis Android

Calculation of nutritional needs is a way to find out a person's nutritional needs, which is usually done by nutritionists before compiling a diet menu. One formula that is often used is the Harris Benedict formula. The problem of this research is how to make an application for calculating nutritional needs with the Harris Benedict formula based on android mobile. This application aims to assist nutritionists and ordinary users in calculating nutritional needs through the results of calculations and dietary advice provided. The methodology in this study uses research and development which includes observation/data collection, interviews and literature study. As for software development using the waterfall model development method (waterfall). The implementation is built with the Java programming language, IDE (Integrated Development Environment) with Eclipse applications, Software Development Kit (SDK) which includes API (Application Programming Interface) tools. Testing is done by black box testing to evaluate the external appearance (Interface) and application functionality. This research has succeeded in implementing the Harris Benedict formula in an Android mobile-based nutritional needs calculation application that provides output for weight categories, ideal body weight, and dietary advice. Other features include a list of food and household sized tools, and an application guide. The purpose of this study is to produce an application that helps users calculate nutritional needs faster than manual calculations with correct results such as manual calculations. From the results of testing the application in black box, the results are in line with expectations.

MODELLING FIELD WORKABLE DAYS ON FERRALSOLS IN CAMEROON

The absence of accurate field operation time records may result to wasteful use of the time available for farm operation which reduces the possibility of a successful operation. Making decisions related to whether or not the soil is suitable for farm activities is essential. However, about 70% of Cameroons soils are ferralsols and there is little to no data on how they respond to pressure from farm machinery intensities at different levels of moisture content. For the Bimodal Humid Forest Agroecological Zone of Cameroon, a model was developed to estimate soil suitability and the effective time available for farm operations on ferralsols. To achieve this goal, pot and field experiments were carried out to observed how bulk densities changes under different traffic intensities at various soil moisture levels. Also, NetBeans Integrated Development Environment (IDE) was used to develop a model in JAVA language that isran by a desktop. It was found thatferralsols have four main types of soil texture: Sandy Clay Loam, Clay, Sandy Clay, Clay Loam.Also, compaction caused by farm machinery traffic in these soils at depths of 0-15 cm tends to be greater than that at depths of 15-40 cm, which did not vary much moisture content at wilting point (MCWP) was found to be between 10% and 15%, and critical moisture content (CMC) ranged from 25.88% to 38.32%. Furthermore, ferralsols reach their optimum bulk density at moisture contents higher than field capacity. The NGUTRACT model developed permits to determine if a day was workable or not based on several variables and consequently permit to determine the number of days in a year. As a result, the model is site-specific, and depending on the soil type and moisture content, a day may be workable for one farmer while being non-workable for another in the same location.However, in order to provide a comprehensive picture of the entire agroecological zone, the results should be extended to the East and South regions. NGUTRACT should be used in conjunction.

Measurement of Ultrasound Propagation Velocity in Liquids Using an FPGA Module

The design and development of an ultrasonic device for the measurement of ultrasonic propagation velocity in liquids based on Field Programmable Gate Array (FPGA) architecture is described. The device was implemented using a DE0-Nano-SoC Development Kit FPGA development module, a 2x16 LCD Display, a 2-channel quadrature output optical encoder with push button, two ultrasonic transducers and an external module for interfacing with the transducers containing the circuits corresponding to the transmitter, receiver and amplifier. For the development, the Altera Integrated Development Environment (IDE) software called Quartus II was used, which allows the logical design and supports different HDL hardware description languages, such as Verilog and VHLD. Although the device was calibrated to measure the acoustic velocity of water in the range of 35°C to 40°C, due to its design characteristics it is feasible to extend its application to measure acoustic velocity in different liquids, delimiting the operation intervals. The device acquires 100 readings per second, calculates the average with polynomial adjustment and displays the value of the ultrasonic propagation velocity in the fluid with a resolution of 0.01 [m/s] with a refresh rate of one second.

DOOR SECURTY SYSTEM DESIGN BASED ON INTERNET OF THINGS

The development of the internet of things (IoT) is one of the influencing factors in the industrial era 4.0 towards the next industrial era, where with this technology humans can communicate with electronic devices connected to microcontrollers remotely using an internet connection. The door is a place to enter or exit to start daily activities. Therefore, door security is the main thing in designing a good room security. This research uses research and development methods, namely methods that aim to produce or develop certain products. There are several stages in the research, namely (1) literature review (2) analysis of tool and material requirements (3) Arduino Integrated Development Environment (IDE) schema design (4) system design with Arduino Nano and (5) system testing and analysis. It can be concluded from the test results that the door safety device can work according to the design made, considering the results of the Arduino Uno which can be connected to Radio Frequency Identification (RFID) and read e-KTP ID and passive infra-red or PIR sensors to detect movement and send notification to Telegram.

Design and Programming of a Microcontroller Based on a Solar Tracking System

This paper is regarding the design and program of a Microcontroller Arduino Uno board using Arduino software to work as a photo-sensor (Active) Single Axis Solar Tracker System (SASTS). A solar panel, two photo-resistors which are also known as Light-Dependent Resistors (LDRs) on two sides (north/south) of the photovoltaic (PV,) and a servo motor are connected to the Uno board, which is previously running a code that is prepared by Arduino Integrated Development Environment (IDE) then it works as a tracking system. Here, the LDRs send the signal of the presence or absence of the light to the board and based on that signal the Uno reflects a new signal to the servo motor to rotate and find the light source. Lastly, the photo sensor single-axis tracker is made. While the system tries to move the panel face to the sun and change the irradiance intensity, in the meantime it starts a search to find the angle of the highest irradiance. Based on the results that are extracted from the data, the tracker system significantly boosts the output power ratio of the solar panel. Through using the Micro-controller Uno board, LDRs, servo motor, and specially designed mechanical base, the tracking system is constructed, determined from acquired data the influence of the STS on increasing the solar panel power ratio is tremendously obvious. Significantly, the tracker system rises the power ratio of the PV system. Significantly, the tracker system raises the power ratio of the PV. As a result, the tracker system remarkably boosts the output power ratio of the solar panel and increases by up to 32.18%.

A Didactic Study of an Algorithmic and Programming MOOC: Learning Strategies Adopted by Students and their Difficulties

While researches on programming MOOCs give importance to the pedagogical issues (assessment, using of integrated development environment, analyzing performance or drop out in programming MOOCs), studies focus less on didactic issues. Thus, this study aims to understand the learning process within the MOOC of “Algorithms and Programming” delivered on the national platform "Morocco Digital University (MUN)" and presents a description of the learning strategies within programming MOOCs and difficulties encountered by participants drawn from in-depth interviews with 39 participants. The results revealed that to learn within the MOOC, the students used “cognitive strategies” in terms of elaboration strategies such as linking the content with prior programming knowledge and organization strategies such as the use of flowcharts to build step by step the algorithmic knowledge and “technical strategies” in terms of mobilization of videos and quizzes of the MOOC. The students have difficulties in decomposing problems, passing from the analysis phase to the algorithmic development phase and complex treatments composed of several conditions and loops. These results can provide MOOC instructors and researchers with insights into the study and design of programming MOOCs by taking into account the various learning strategies used by students and their experienced difficulties.

A new QEXAFS system on the general XAFS beamline at the Shanghai Synchrotron Radiation Facility.

A new quick-scanning extended X-ray absorption fine-structure (QEXAFS) system for in situ studies has been developed and tested on the general XAFS beamline at the Shanghai Synchrotron Radiation Facility. In the new system, an analog-to-digital converter (ADC) with 1 MHz sampling rate is used to acquire the detector data while one scaler is used to precisely calculate the scanning energy. Two external hardware trigger signals were adopted to synchronize the data collection of the ADC and the scaler. The software development platforms of the double-crystal monochromator control system and the new QEXAFS system have been unified with the Experimental Physics and Industrial Control System. By comparing the spectra acquired by the conventional step-by-step XAFS system with an energy range of 1200 eV at the 7.5um Cu foil K-edge, the new system demonstrates satisfactory signal-to-noise ratio and energy resolution. The previous shortcomings, including distortion of the spectrum and energy shift, have been overcome. The tests with different integration times indicated that appropriate parameters not only ensure good experimental results but also enhance the smoothness of the XAFS spectrum at high energy zones. The reliability of the new system has also been verified.

Simulation and Implementation of Bluetooth Wireless Home Automation System

The stress and difficult experience undergone by the old aged and disabled persons in manually operating their home appliances is a major concern in this present day of rising burglary and other insecurities in Nigeria. In this study, simulation an implementation of a Bluetooth wireless home automation system was carried out using a microcontroller. The design comprised an Arduino ATmega328 microcontroller board, Bluetooth module (HC-06), and Massachusetts Institute of Technology (MIT) App Inventor 2 for android. The Arduino was programmed with C++ programming language by using Integrated Development Environment (IDE). Relays and Triacs were used for the switching mechanism. The software design was achieved using Proteus 8.0, while the hardware prototype was constructed on a Vero board and a performance analysis of the designed circuit was carried out. Result shows that, once the system is connected, the user can controls his electrical appliances by switching them ON and OFF using either the android app Bluetooth module, the IR remote control or the push button on the device. The system application is easy to use, user friendly and convenient to operate via any of the provided alternatives. The Bluetooth wireless home automation system makes life easier for the home owners especially the old aged and disables and prevent energy wastage. With addition of biometrics, it can also prevent unauthorized access to homes and thereby reduce the case of burglary and other insecurity treats at homes.

The role of awareness and gamification on technical debt management

Managing technical debt and developing easy-to-maintain software are very important aspects for technological companies. Integrated development environments (IDEs) and static measurement and analysis tools are used for this purpose. Meanwhile, gamification also is gaining popularity in professional settings, particularly in software development.

MetPy: A Meteorological Python Library for Data Analysis and Visualization

Abstract MetPy is an open-source, Python-based package for meteorology, providing domain-specific functionality built extensively on top of the robust scientific Python software stack, which includes libraries like NumPy, SciPy, Matplotlib, and xarray. The goal of the project is to bring the weather analysis capabilities of GEMPAK (and similar software tools) into a modern computing paradigm. MetPy strives to employ best practices in its development, including software tests, continuous integration, and automated publishing of web-based documentation. As such, MetPy represents a sustainable, long-term project that fills a need for the meteorological community. MetPy’s development is substantially driven by its user community, both through feedback on a variety of open, public forums like Stack Overflow, and through code contributions facilitated by the GitHub collaborative software development platform. MetPy has recently seen the release of version 1.0, with robust functionality for analyzing and visualizing meteorological datasets. While previous versions of MetPy have already seen extensive use, the 1.0 release represents a significant milestone in terms of completeness and a commitment to long-term support for the programming interfaces. This article provides an overview of MetPy’s suite of capabilities, including its use of labeled arrays and physical unit information as its core data model, unit-aware calculations, cross sections, skew T and GEMPAK-like plotting, station model plots, and support for parsing a variety of meteorological data formats. The general road map for future planned development for MetPy is also discussed.

Design and Implementation of an Online Enrolment System for Higher Education Institution amidst covid-19 Pandemic in Zamboanga Peninsula, Philippines

Abstract: The purpose of the study is to design and implement an enrolment system through web based application intended for higher education institution in Zamboanga Peninsula amidst covid-19 pandemic. The functionalities of the system are guided using Use Cases identified during requirement phase. The existing system encountered several constraints on the process of the enrolment, especially in detecting conflict of course schedules and the availability of slots of the courses offered, handling large number of data, and in cases where modifications or errors in the program that need to be fixed. The methodology used was prototyping to take advantage of the limited experience of users in using computerized systems. It was implemented using Hypertext Pre-processor (PHP) programming language and MYSQL database along with JavaScript, Cascading Style Sheets (CSS), JQuery and Macromedia Dreamweaver as integrated development environment (IDE). The functionalities of the system get the approval of the school administrators allowing the program to be use in an actual enrolment setting.

Aplikasi Algoritma Pengurutan Menggunakan Java BlueJ Sebagai Media Bantu Pembelajaran

Many research and project development has been done since a decade for algorithm animation. But as fundamental of the programming, sorting algorithm still difficult to understand, especially for the students who were novice or beginner in programming. To cope with that problem, one of the solutions was by creating tool for animation of sorting algorithm. As a teaching aid, this tool could help the students to understand the algorithm and at the end they could be able to build their own program. This research would be developed one of the sorting algorithms techniques that usually use by the lecturer: Merge sort. Java BlueJ will be the IDE (Integrated Development environment) to developed the algorithm animation. The Animation of sorting algorithm would provide the template featuring input random number which could be type by the user or through push the random number buttons, besides import existing data. The process would display visually movement of the bar structures and text where the output would show an ordered bar structure from small to large number. The purpose of the user interface modification was the user convenience to learn algorithm.

Watcher: Cloud-Based Coding Activity Tracker for Fair Evaluation of Programming Assignments.

Online learning has made it possible to attend programming classes regardless of the constraint that all students should be gathered in a classroom. However, it has also made it easier for students to cheat on assignments. Therefore, we need a system to deal with cheating on assignments. This study presents a Watcher system, an automated cloud-based software platform for impartial and convenient online programming hands-on education. The primary features of Watcher are as follows. First, Watcher offers a web-based integrated development environment (Web-IDE) that allows students to start programming immediately without the need for additional installation and configuration. Second, Watcher collects and monitors the coding activity of students automatically in real-time. As Watcher provides the history of the coding activity to instructors in log files, the instructors can investigate suspicious coding activities such as plagiarism, even for a short source code. Third, Watcher provides facilities to remotely manage and evaluate students’ hands-on programming assignments. We evaluated Watcher in a Unix system programming class for 96 students. The results showed that Watcher improves the quality of the coding experience for students through Web-IDE, and it offers instructors valuable data that can be used to analyze the various coding activities of individual students.

Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks-methodology and analyses.

The paper introduces a fundamental technological problem with collecting high-speed eye tracking data while studying software engineering tasks in an integrated development environment. The use of eye trackers is quickly becoming an important means to study software developers and how they comprehend source code and locate bugs. High quality eye trackers can record upwards of 120 to 300 gaze points per second. However, it is not always possible to map each of these points to a line and column position in a source code file (in the presence of scrolling and file switching) in real time at data rates over 60 gaze points per second without data loss. Unfortunately, higher data rates are more desirable as they allow for finer granularity and more accurate study analyses. To alleviate this technological problem, a novel method for eye tracking data collection is presented. Instead of performing gaze analysis in real time, all telemetry (keystrokes, mouse movements, and eye tracker output) data during a study is recorded as it happens. Sessions are then replayed at a much slower speed allowing for ample time to map gaze point positions to the appropriate file, line, and column to perform additional analysis. A description of the method and corresponding tool, Deja Vu, is presented. An evaluation of the method and tool is conducted using three different eye trackers running at four different speeds (60 Hz, 120 Hz, 150 Hz, and 300 Hz). This timing evaluation is performed in Visual Studio, Eclipse, and Atom IDEs. Results show that Deja Vu can playback 100% of the data recordings, correctly mapping the gaze to corresponding elements, making it a well-founded and suitable post processing step for future eye tracking studies in software engineering. Finally, a proof of concept replication analysis of four tasks from two previous studies is performed. Due to using the Deja Vu approach, this replication resulted in richer collected data and improved on the number of distinct syntactic categories that gaze was mapped on in the code.

The demonstration device for remote light control via the Internet by using MQTT protocol and Dual-Chip ESP32

In this article, the primary purpose is to design and implement a remote light control example that makes use of the Arduino IDE platform for programming, the MQTT protocol, and an ESP32 microcontroller, which has a dual-core CPU as well as Wi-Fi and Bluetooth capabilities. This aspect is related to the Internet of Things (IoT), which allows any fundamental device to be linked and become a smart device via the application of the Internet. As a result, these devices can be operated from a significantly long-distance, eliminating the need to physically interact with the switches to turn them on or off. The first part of the paper is a discussion of the fundamental theory that is provided to examine the potential of remote control methods, followed by a short overview of the Arduino integrated development environment (IDE), MQTT communication protocol, and PWM technique to regulate the brightness of lights. The second section is devoted to hands-on work, such as setting up an environment connection over the Internet, compiling and designing a printed circuit board (PCB).

Tendencia del NDVI en el Área de Conservación Regional Angostura Faical de Tumbes, Perú, 1999-2019

The Angostura Faical Regional Conservation Area is a protected area of the Equatorial Dry Forest, which seeks to guarantee the appropriate use of fauna and flora resources under sustainable practices by local populations, in addition to reducing the effects of climate change. Therefore, the trend of the Normalized Difference Vegetation Index (NDVI) in the Angostura Faical Regional Conservation Area was determined and the areas were quantified based on their trend over time. Geographic information systems, remote sensing and platforms such as Google Earth Engine made it possible to obtain data from Landsat 5-7-8 satellite images, and the R programming language was also used in the RStudio integrated development environment for statistical analysis with the Mann Kendall test which is qualitative in nature. It was found that in the time series the neutral trend predominates with a normal behavior in an area of 7,304,568 hectares, in a favorable case in the vegetation, 1,489,457 hectares were found with a positive trend and with a negative trend in the vegetation one surface of 0, 458 hectares located near the La Angostura creek where runoff is captured in rainy weather. It should be considered that the monitoring of the environment is of vital importance for the conservation of natural areas and of the utmost importance for those that provide an environmental service. For this reason, the behavior of our protected areas must be known in order to make decisions with foundations and taking hold of technology.

Intelligent Vehicle Engine Dynamic Test System Based on Internet of Things

In the context of technological modernization in the field of automotive engine testing, the development of an intelligent automotive engine testing system based on IQ has become an important trend in the future. This paper mainly studies the development of engine test software platform, the technical control of test process conditions, and the intelligent conversion of important components such as temporary fuel flow meters. By comparing the traditional bench test system and the dynamic test system based on the Internet of Things, the efficiency of data information transmission, information security, perception ability, and response speed between them are compared, and the intelligent dynamic engine detection based on the Internet of Things is found. The system is more secure and more efficient in information transmission, with a 12% increase in perception performance and a 48% increase in system response time. This also fully shows that the intelligent dynamic engine detection system based on the Internet of Things will be more suitable for current equipment and can also be detected more accurately, which can realize effective supervision of the running status of the test prototype and remote online feedback of the analysis results, and solve the engine test process. It solves the problem of efficient, reliable, and safe transmission and transmission of data and information between all levels and layers, and improves the ability of rapid perception and response in the process of engine testing.

A Scalable Data Integration Architecture for Smart Cities: Implementation and Evaluation

The collection, processing, and analysis of data generated by varied sources can help us better understand the functioning and demands of the cities. However, developing efficient solutions to explore urban data is challenging due to the large volume, heterogeneity, and lack of accessibility and integration of this kind of data. In this work, we identify the main requirements of a data integration system to support decision-making in cities, focusing on its challenges. We analyze some existing data integration solutions, to uncover their features and limitations. Based on these results, we propose a new microservice architecture to support the development of software platforms for integrating smart cities’ heterogeneous data and a guideline to assess their performance. We also present details of a proof-of-concept implementation of the proposed architecture and its performance evaluation. The results demonstrate that the platform can scale horizontally to handle the highly dynamic demands of a smart city while maintaining low response times.

Development of a low-cost teleoperated and semi-autonomous robotic arm

A safe human-robot physical interaction is required when the robot is used to help humans. This can be achieved by introducing a teleoperated robotic arm in which a human can teach the robot before performing tasks remotely. This paper develops and establishes a three-degree-of-freedom robotic arm and teaching pendant. In particular, a flexible robotic arm is operated in two different modes, namely, the teleoperated mode and the semi-autonomous mode. The teleoperated mode is a manual control using a teaching pendant, where the robot arm replicates various movements of the teaching pendant. On the contrary, the semi-autonomous mode allows the robot to execute a task from one point to another point repetitively after at least one training of the teaching pendant. The Arduino Uno board is employed as a microcontroller, and the integrated development environment ( IDE ) software is used to write and upload the computer code. A series of tests in which the robot performs different tasks is recorded to evaluate the accuracy and consistency of the semi-autonomous and teleoperated modes. The results show that the performance of the proposed low-cost teleoperated robotic arm is reliable and safe to perform various tasks based on the teaching pendant.

Eye tracking technologies to visualize secure coding behavior

Secure coders' experiences and performances vary greatly and any missed security flaws in source code may lead to costly consequences. Their behavior to analyze source code and develop mitigation techniques is not well understood. Our objective is to gain insight into the strategies and techniques from both novice and experienced developers. Proper understanding can help us to inform inexperienced coders to efficiently and accurately approach, discover, and mitigate security flaws. Our research relies upon eye tracking hardware and software to collect and analyze the eye gazes. Unlike existing approaches, we incorporate a wide range of tasks simultaneously reading documentation, writing code, and using security coding analysis tools. We analyze both static and dynamic (interactive) stimuli in a realistic software development environment. Our pictorial visualizations represent a coder's eye gazes that visually demonstrates their behavior and patterns. In addition, we provide the full context of the stimuli that a participant observed. This allows for investigating the behavior at a range of tasks for a single participant and between participants. Our secure coding tasks include reading documentation, reading source code, and writing source code for a web application as well as utilizing security code scanning tools. Our contributions also include (1) novel visualization techniques to present transitions among components within and between applications, and (2) presentations of coders' attention levels during secure coding by investigating the change of pupil sizes. The eye tracking collection and analysis techniques support both modifiable stimuli and stimuli presented in different sequences based upon individual participant's behavior. • Gain Insight into Secure Coders' Behavior and Methodologies Using Eye Trackers. • Visualizations Of Eye Gazes to Understand Approaches to Secure Coding. • Investigate Behavior When Discovering and Mitigating Source Code Flaws. • Evaluation Of Hands-On Secure Coding Learning Modules. • Dynamic Eye-Tracking Stimuli for Realistic Software Development Environment.