Integrated Development Environment Research Articles

Design and implementation of a decision support system for flood management

This work deals with the design and implementation of a decision support system for flood management. In the society today emergency issues arises due to terrorist attack, flood disaster, epidemics, widespread massive riot etc. In other to handle this situation government has established a number of agents supported by Non-governmental organization (NGO). Due to non-existence of integrated database and communication support system for managing flood emergency has resulted to poor handling, huge losses and reoccurrences. This work involves managing the inter operations/ interlinks of flood incidents sources by the handling agents, design of database report format and communication media for the system automation. In other to solve this problem waterfall methodology was adopted in this study. The programming tool adopted was adobe dreamer. Its host has front end and back end. The front end is the user interface and serves as a channel through which users communicates to the system. Adobe dreamer being the tools used for building such web-based application supports many mark-up languages like HTML, CSS and Java script. The most common available tools for the development of this system is the Adobe Dream waver which is IDE (integrated Development Environment. It is a creation management tool and requires no programming language and good enough for experienced website developers.

Prediction of IPO Subscription – A Logistic Regression Model

The main objective of this research paper is to apply logistic regression to estimate IPO subscription status in terms of oversubscription or under subscription. For this purpose, we used SMOTE (Synthetic Minority Oversampling Technique) to generate minority class cases to rectify class imbalance problems and classification model logistic regression function to further classify the cases into majority class and minority class. KNIME (Konstanz Information Miner) and R Studio were used, as Integrated Development Environments (IDE), to develop the model. The results were quite encouraging with more than 90% accuracy levels for both training and testing datasets. The model was tested with different train-to-test ratios. The model and the results of the study can be used by firms and individuals involved in capital markets to predict the subscription status of a public offering. Further, there is ample scope to improvise the model by using different sets of variables and by applying different machine learning algorithms.

Development of Digital twin for Plug-and-Produce of a Machine tending system through ISO 21919 interface

ABSTRACT The introduction of robot-assisted automation, such as in machine tending systems for the automated operation of CNC machine tools, is being actively carried out at many industrial sites. The most important part of this intelligent system is the installation of a machine tending system that involves interface programming between the CNC machine tools and the industrial robot. Despite this importance, however, the machine tending system has many setup problems. It must be reprogrammed for both controllers whenever a new CNC machine tool or robot is introduced. Owing to the complex structure of the machine tending system, external engineers are required even though trivial changes have been made. To solve and remove inconveniences, there is a need to introduce a standardized and integrated system of the interface between multi-vendor CNC machine tools and industrial robots. In addition, the digital twin implemented inside the machine tool controller enables external engineers to easily change robot programming. To implement this system, an integrated development environment for: an intelligent platform that provides ISO 21919 interfaces to multi-vendors CNC machine tools, a robot platform developing application software of various robots, has been established.

Computer vision-based prototype robotic picking cum grading system for fruits

Huge harvest and post-harvest losses in conventional processes and methods demands precise applications of agricultural inputs. Computer vision based robotic picking is one of such systems that reduces time consumption, labor requirement; and enhances fruits picking and grading efficiency. In this study, an all-in-one prototype robotic picking cum grading system is developed that integrates robotic picking and fruit quality recognition based grading processes. Therein, computer vision algorithms are used for fruit detection followed by picking and placing through controlled robotic arm. For fruit detection, the steps includes color scheme conversion, masking of normal/fresh skin, masking of defects, and morpological dilation operations; and opencv library is used for implementation in Python Language on Anaconda Spyder Integrated Development Environment (IDE). The detection information is then communicated to robotic arm through microcontroller. The fabricated arm is of 4 Degrees of Freedom (4-DOF) and therein, four servo motors aid the robotic arm. The time taken by proposed computer vision algotihms scheme is as follows: 0.0035136 s, 0.0081954 s, 0.0005433 s, and 0.0002408 s for color scheme conversion, segmentation, morphological operations, and bitwise operations respectively; and total time for complete scheme is 0.0125 s. Overall, the developed system took average time of 15 s for one grading cycle in case of poor quality fruits. For this case, no action is carried out and the fruit passes the conveyor directly to storage bin. However, the time required for good quality fruits is high i.e. 21 s as the robotic arm picks and places the fruits for this case.

.NET Tools for Software Development: Tool Selection, Key Benefits of .NET Web Applications

Aims: This report analysis the top 5 .NET tools that can be used to develop website and software.
 Study Design: We have shortlisted the 5 .NET tools that can be used to design and implement website and software.
 Methodology: According to Microsoft, .NET is a software-based approach for integrating information, users, technologies, and devices, and it encompasses everything that an organization requires to build and deploy an integrated data architecture: servers used to host services; development tools; and apps that utilize them. We have selected Web essential for Visual studio, Resharper, Ncrunch, NuGet and Elmah tools.
 Results: The exposed qualities connect to modern emerging techniques such as components, allocation, software and services, and online redirection. As a result of the available options, .NET is recognized as one of the most extensively used software development platforms. The framework .NET's of devices and technologies as well as their optimal usage in practice, need knowledge with its tool set.
 Conclusion: The NET-framework offers a variety of software types, with a focus on producing apps for Windows, mobile devices, and the Internet. Windows applications can be terminal (text-based) or graphical, including drivers, libraries, and services. Applications for mobile devices are created for smartphones and tablets. ASP.NET web services and web applications written for the Internet.

Security Evaluation of Arduino Projects Developed by Hobbyist IoT Programmers

Arduino is an open-source electronics platform based on cheap hardware and the easy-to-use software Integrated Development Environment (IDE). Nowadays, because of its open-source nature and its simple and accessible user experience, Arduino is ubiquitous and used among hobbyist and novice programmers for Do It Yourself (DIY) projects, especially in the Internet of Things (IoT) domain. Unfortunately, such diffusion comes with a price. Many developers start working on this platform without having a deep knowledge of the leading security concepts in Information and Communication Technologies (ICT). Their applications, often publicly available on GitHub (or other code-sharing platforms), can be taken as examples by other developers or downloaded and used by non-expert users, spreading these issues in other projects. For these reasons, this paper aims at understanding the current landscape by analyzing a set of open-source DIY IoT projects and looking for potential security issues. Furthermore, the paper classifies those issues according to the proper security category. This study's results offer a deeper understanding of the security concerns in Arduino projects created by hobbyist programmers and the dangers that may be faced by those who use these projects.

An eFPGA Generation Suite with Customizable Architecture and IDE

From edge devices to cloud servers, providing optimized hardware acceleration for specific applications has become a key approach to improve the efficiency of computer systems. Traditionally, many systems employ commercial field-programmable gate arrays (FPGAs) to implement dedicated hardware accelerator as the CPU's co-processor. However, commercial FPGAs are designed in generic architectures and are provided in the form of discrete chips, which makes it difficult to meet increasingly diversified market needs, such as balancing reconfigurable hardware resources for a specific application, or to be integrated into a customer's system-on-a-chip (SoC) in the form of embedded FPGA (eFPGA). In this paper, we propose an eFPGA generation suite with customizable architecture and integrated development environment (IDE), which covers the entire eFPGA design generation, testing, and utilization stages. For the eFPGA design generation, our intellectual property (IP) generation flow can explore the optimal logic cell, routing, and array structures for given target applications. For the testability, we employ a previously proposed shipping test method that is 100% accurate at detecting all stuck-at faults in the entire FPGA-IP. In addition, we propose a user-friendly and customizable Web-based IDE framework for the generated eFPGA based on the NODE-RED development framework. In the case study, we show an eFPGA architecture exploration example for a differential privacy encryption application using the proposed suite. Then we show the implementation and evaluation of the eFPGA prototype with a 55nm test element group chip design.

Automatic System of Sound and Light Intensity for Swiftlet House

In cultivating swiftlet nests, some swiftlet breeders still find it difficult to summon sounds and control the intensity of light in swiftlet houses. As for the bird calling technique by playing the audio of the swiftlet without having to be heard at any time and there is also a certain hour, an automatic time system is made so that the on/off audio swiftlet process can be properly organized and also the intensity of light entering the swiftlet house is too bright, so breeders close the ventilation holes with insulation or wood, so the system will be made to control light intensity by using automatic opening or closing of curtains/windows, where when the swiftlet house is bright, the curtain closes, while when the light of the swiftlet house is dark, the curtain opens. RTC DS3231 and LDR sensor which functions as a detector of sound time and light intensity, the NodeMCU ESP8266 microcontroller which functions as a data processor so that results can be displayed on the LCD. This research was conducted in stopover Village, stopover District, West Kutai Regency. Data collection methods used are literature study, interviews, and observation. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment.

THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS

Programming is an important course for any IT or engineering-related course. However, previous research shows that students face difficulties in learning programming due to its abstract concepts. This study aims to evaluate the acceptance of a developed Integrated Development Environment (IDE), namely C-SOLVIS which is a web-based application that specifically intends to facilitate the teaching and learning of the C programming fundamentals in Malaysian tertiary education. The C-SOLVIS integrates problem-solving into a program development environment for the C language. The goal is to guide the users in problem-solving and help them write C programs based on problem-solving algorithms. The Rapid Application Development (RAD) Model was employed in the C-SOLVIS development process. Based on this model, the requirement planning phase was carried out through the triangulation technique by applying qualitative approaches comprising a literature review supported by semi-structured interviews, document reviews, and content validation by expert programming lecturers. Subsequently, the design of the application was accomplished through the iterative prototyping process which was then followed by the application construction. Then, the C-SOLVIS is deployed to be used by several programming lecturers to evaluate its usability by adopting a quantitative method using the System Usability Scale (SUS) questionnaire. The study has discovered several suitable techniques and designs for the problem-solving and program development environment. For the problem-solving environment, the Computational Thinking (CT) concepts were applied which were supported by the Input-Process-Output (IPO) Model through Scientific Instructions and Inquiries. Meanwhile, the program development environment was designed and developed based on frame-based programming using a set of developed Code Patterns. The C-SOLVIS evaluation using the SUS instrument has yielded a SUS mean score of 86.07. This score is interpreted by SUS as an A grade that indicates C-SOLVIS as a highly usable application and thus is accepted for C programming learning. Hence, the development process of the C-SOLVIS can be used as a guideline for educational software development, especially in the field of programming education.

Framework Development for Efficient Mission-Oriented Satellite System-Level Design

The space mission analysis and design process defines a space system at the system level to accomplish space mission objectives. Although the traditional process is well established and comprehensive through several years of experience, we propose a novel design process framework in this paper to aid the traditional process focusing on the following areas of improvement: (1) clarification of the direct connection between mission objectives and final system-level baseline design and requirements, (2) development of a comprehensive quantitative judgment criterion to evaluate various design alternatives, (3) derivation of system drivers and critical requirements after obtaining sufficient design knowledge based on the analysis of big data obtained from exploration of entire design space using an integrated design environment, and (4) system optimization even at the system level with a holistic perspective to guarantee that the baseline design meets the mission objectives. Examples of design steps in the proposed framework are characterizing stakeholder needs and engineering characteristics, building an integrated design environment, exploring and analyzing design space, optimizing system-level design, and elaborating mission utility to ensure an efficient mission-oriented design approach. The proposed framework is implemented in an example space mission involving quantum cryptographic communication. Accordingly, we demonstrate that the proposed framework provides an efficient mission-oriented satellite system-level baseline design.

CONVENIENT SOFTWARE FOR BUSINESS WITH THE POSSIBILITY OF ADAPTATION TO MARKET REQUIREMENTS

To support day-to-day operations, business companies need flexible systems that will allow them to adapt to the markets that are changing quite quickly in today’s environment. However, most of the software that exists in the market does not meet the needs of a particular company, let alone adapt to the requirements that change very quickly. Software for supporting enterprises, intended mainly for solving specific tasks. The question arises about the possibility of simplifying the development of business software, without limitations, and also being able to create custom software specifically for business, not only for use, but also for further adaptation. In business-companies, there is a need to transmit external inspection data to laboratories, as well as the possible collection of these results and combining them into research reports, which contain the results of checks on the quality and quantity of manufactured products. Usually, in order to perform such actions, it is customary for companies to use standard office programs and paper records that will allow you to conduct reviews and create various reports. In such cases, it becomes necessary to enter the same data many times in several documents. Companies are trying to find applications that can reduce such overhead and prevent errors. Since there are no existing solutions to support such activities, there is a need to create such supporting software. The task is to develop a method called “administration generation” capable of introducing a level of abstraction to reduce repetitive tasks during development. Using the Apache open-source web-server, which allows customization for a specific business-company, and the Eclipse multipurpose integrated development environment (IDE), which supports multiple development languages, including PHP and JavaScript, this method was implemented. It used the fully pluggable Symfony PHP framework combined with the highly flexible Ext JS JavaScript framework. Symfony allows you to implement the right “administrative generation” property and extensibility to meet the right current market requirements. Ext JS is currently integrating to improve the user experience. Both the first and the second are known for their excellent documentation and active community.

APPROACH FOR CODE ANALYSIS TO ESTIMATE POWER CONSUMPTION OF CUDA CORE

The graphics processing unit is a popular computing device for achieving exascale performance in high-performance computing programs, which is used not only in graphics tasks, but also in computational tasks such as machine learning, scientific computing, and cryptography. With the help of a graphics processor, you can achieve significant speed and performance compared to the central processing unit. CUDA, Compute Unified Device Architecture, a graphics processing unit software development platform, allows developers to use the high-performance computing capabilities of graphics processing units to solve problems traditionally handled by central processing units. Even though the graphics processing unit has a relatively high power to performance ratio, it consumes a significant amount of power during computing. The paper proposes an approach for code analysis to estimate power consumption of CUDA core to improve the power efficiency of applications focused on computing on graphics processing units. The proposed approach makes it possible to estimate the power consumption of such applications without the need to run them on physical devices. The proposed approach is based on static analysis of the CUDA program and machine learning methods. To evaluate the effectiveness of the proposed approach, three graphics processing unit architectures were used: NVIDIA PASCAL, NVIDIA TURING, and NVIDIA AMPERE. The results of the experiments showed that for the NVIDIA AMPERE architecture, the proposed approach using decision trees makes it possible to achieve a determination coefficient of 0.9173. The results obtained confirm the effectiveness of the proposed code analysis method for estimating the power consumption of the CUDA core. This method can be useful for CUDA developers who want to improve the efficiency and power efficiency of their programs.

Real-Time Objects Detection, Tracking, and Counting Using Image Processing Techniques

As a result of the tremendous development taking place in modern systems and technologies in the field of electronic monitoring. Intelligent monitoring, decision making, and automated response systems have become common subjects at this time, especially after the development of machines responsible for these processes. Traffic surveillance is a trend goal nowadays using different techniques and equipment. In this article, real-time Object detection and tracking techniques were proposed for traffic surveillance using image processing techniques. A state was specifically examined for its ability to detect and count passing motorcycles on a highway in a specific area. The results showed good reliability, with a frame processing time of approximately about (30 ms) and the achievement of real-time performance. The main contribution of this article is reaching the best result implemented by the performance the real-time process using image process technique and tracking the object by depending on the sequencing of frames and can stands with rationally not so powerful machines. Several tools have been used for different types of necessary tasks that will be part of the required application such as Python 3.7; which was used to build the basic algorithms,Visual studio code (VSC) as an Integrated Development Environment (IDE), and Anaconda navigator for downloading many useful libraries. The specifications of the used device were Intel(R) Core (TM) i7- 10750H CPU @ 2.60GHz 2.59 GHz, RAM 16.0 GB, NVIDIA GeForce GTX 1650 GPU, 64-bit operating system, x64-based processor.

Surveillance and Security Models Based on the Arduino UNO Interface

In the "digital era," where technology is advancing more quickly than anything else, security and surveillance systems are no exception (video surveillance cameras; fire alarms; security alarms; access systems; environmental measurement products detecting air pollution level, humidity, temperature etc.). This industry is constantly advancing in terms of technology. Artificial intelligence and many others are actively being introduced in this field. Of course, it is possible to buy the technological systems stated above. They are widely available online. However, their technological aspect and the principles behind creating such "smart" products are generally fascinating.  https://innotech.ge/full-color-technology-2/ ;   https://innotech.ge/. Today's most popular model  Arduino UNO platform is used as an example to demonstrate how to build surveillance and security systems using its interface, which is based on the AIR Quality Semiconductor Sensor-MQ135 and the utilization of the PIR Motion Sensor block's characteristics. The project model integration process in both a virtual and physical context is described in detail and analyzed in the paper. The following are specifically used: An Arduino UNO microcontroller board, the Arduino Software IDE (Integrated Development Environment), a local code editor on the PC, and the virtual online platform tinkercad.com. The work is supplemented by pertinent electronic diagrams, schemes, software code, descriptions of fundamental functionalities, links to virtual project simulation, real-world application, and links to video recordings of the experiment in order to demonstrate the project model's smooth operation.

DESIGN AND DEVELOPMENT OF A HOSPITAL BIOMETRIC DATA MANAGEMENT SYSTEM

The need to drastically reduce the delay faced by patients before they receive treatment in the University Clinic and the need to reduce the occurrence of medical mistakes due to patient’s misidentification led to this work which aimed at developing a hospital biometric data management system.Java was the programming language of choice and Netbeans was the Integrated Development Environment (IDE) used to design the Graphical User Interphase (GUI) and write codes. For the backend database, MySQL was used for demonstration purposes. The analytical diagrams were drawn using VioletUMLEdit. The Griaule Fingerprint Software Development Kit (SDK) was used to implement the fingerprint capture, enrollment, identification and verification features of the software.The tests and results obtained showed that with this hospital management system, the time taken to retrieve patient’s record has been reduced from several minutes to less than five seconds thereby eliminating the delay experienced by patients during search of their records. The problem of medical mistakes due to patient’s misidentification was also addressed by the biometric feature of the management system.

Adopting distributed pair programming as an effective team learning activity: a systematic review.

As online learning has become an inevitable trend in the post-peak era of the COVID-19 pandemic, distributed pair programming (DPP) is gaining momentum in both education and industry. DDP serves as a collaborative programming approach and also benefits the development of computational thinking, a fundamental skill in today's world. This study conducted a systematic review of studies on DPP published after 2010 to understand the themes and factors that impact the team effectiveness of DPP and thus inform future research and practices on how to better leverage this approach for teaching and learning. The results showed that individual characteristics attracted major investigations in the selected 23 studies, including prior programming experience, actual skill, perceived skill, gender, personality, time management, confidence, and self-esteem, with pair compatibility identified as a critical team design factor that significantly affects programmers' satisfaction. Although the feel-good factor in the team process was investigated, no significant impact was found. Under the team environment theme, we compared different opinions on the orientation (e.g., scripted roles) and the use of technology (e.g., integrated development environment tools). Future research should investigate how task structure influences team effectiveness of DPP and relates to computational thinking education. Additionally, because most studies were conducted in higher education contexts, more research in primary and secondary educational contexts is also needed.

Blockchain-Driven Real-Time Incentive Approach for Energy Management System

In the current era, the skyrocketing demand for energy necessitates a powerful mechanism to mitigate the supply–demand gap in intelligent energy infrastructure, i.e., the smart grid. To handle this issue, an intelligent and secure energy management system (EMS) could benefit end-consumers participating in the Demand–Response (DR) program. Therefore, in this paper, we proposed a real-time and secure incentive-based EMS for smart grid, i.e., RI-EMS approach using Reinforcement Learning (RL) and blockchain technology. In the RI-EMS approach, we proposed a novel reward mechanism for better convergence of the RL-based model using a Q-learning approach based on the greedy policy that guides the RL-agent for faster convergence. Then, the proposed RI-EMS approach designed a real-time incentive mechanism to minimize energy consumption in peak hours and reduce end-consumers’ energy bills to provide incentives to the end-consumers. Experimental results show that the proposed RI-EMS approach induces end-consumer participation and increases customer profitabilities compared to existing approaches considering the different performance evaluation metrics such as energy consumption for end-consumers, energy consumption reduction, and total cost comparison to end-consumers. Furthermore, blockchain-based results are simulated and analyzed with the help of deployed smart contracts in a Remix Integrated Development Environment (IDE) with the parameters such as transaction efficiency and data storage cost.

Real-Time Target Detection System for Intelligent Vehicles Based on Multi-Source Data Fusion.

To improve the identification accuracy of target detection for intelligent vehicles, a real-time target detection system based on the multi-source fusion method is proposed. Based on the ROS melodic software development environment and the NVIDIA Xavier hardware development platform, this system integrates sensing devices such as millimeter-wave radar and camera, and it can realize functions such as real-time target detection and tracking. At first, the image data can be processed by the You Only Look Once v5 network, which can increase the speed and accuracy of identification; secondly, the millimeter-wave radar data are processed to provide a more accurate distance and velocity of the targets. Meanwhile, in order to improve the accuracy of the system, the sensor fusion method is used. The radar point cloud is projected onto the image, then through space-time synchronization, region of interest (ROI) identification, and data association, the target-tracking information is presented. At last, field tests of the system are conducted, the results of which indicate that the system has a more accurate recognition effect and scene adaptation ability in complex scenes.

Petri Nets-Based Modeling Solution for Cyber–Physical Product Control Considering Scheduling, Deployment, and Data-Driven Monitoring

For a complex electromechanical product that is a cyber–physical system (CPS), its dynamic behaviors are embodied in the closed-loop control between the logic process in its cyber component and actual actuators/sensors in its physical component, and thus, a well-defined model of the control is important to create a digital twin that acts as much like the real machine as possible. This article proposes a Petri nets (PNs)-based modeling solution that employs hybrid PNs (HPNs) for physics and system of sequential systems with shared resources (S4R) nets for logic in building a hierarchical control model. We also present PNs technologies for implementing a smooth transition and bidirectional mapping from the virtual prototype to the real machine. These technologies involve a PNs integration of a reinforcement learning (RL) method for generating a workflow scheduling agent in design, an extension of PNs definitions that is compatible with the microcontroller for easy deployment in manufacturing, and an architecture of PNs execution recording for data-driven monitoring in service. A software kit is provided for the solution that includes an integrated development environment of PNs, tools for quickly building a virtual prototype, and a monitor server for remote data-driven monitoring. This solution is successfully applied in the development of a typical cyber–physical product case, namely, the chemiluminescence immunoassay (CLIA) analyzer.

Prediction of Drug Concentration in Human Bloodstream using Adams-Bashforth-Moulton Method

Pharmaceutical drugs are chemicals intended to avoid, assess, heal, or cure a disease. It is also commonly referred to as medication. When medicine is taken, it gets absorbed into the bloodstream, spreads throughout the body, and achieves its maximum concentration. Following this, the medication level gradually decreases as it is removed from the body. The drug concentration according to the time can be predicted using mathematical concepts and pharmacokinetic models. The compartmental model is a fundamental type of model used in pharmacokinetics. The number of compartments required to describe the drug's action in the body is one-compartment, two-compartment, and multicompartment. These models can forecast medication concentrations in the body over time. This paper will focus on the one-compartment model and Adams Bashforth-Moulton method. Adams Method is one of the linear multistep techniques applied to solve numerical ordinary differential equations that contain the predictor method (Adams Bashforth) and corrector method (Adams Moulton). The integrated development environment used for the computation and graphing is MATLAB. The expected result of this report is that we can predict the concentration of the chosen drugs over time and how long a particular person needs to wait before donating blood safely.