Object-oriented Programming Method Research Articles

A software for calculating coal mine gas emission quantity based on the different-source forecast method

The ability to predict gas emissions accurately is pivotal in managing gas control and ensuring safe mining operations. Existing internationally acknowledged gas control and prediction software does not cater to the specific conditions in Chinese coal mines. Hence, this paper introduces an object-oriented programming method to design a software tool for calculating the total gas emission quantity using the MATLAB application program designer runtime environment. The software incorporates an algorithm, data structure, framework, and module functions, all of which enable seamless integration and visualization of gas emission calculation software. This software tool mitigates the inefficiencies and inaccuracies associated with manual, different-source forecast methods. Based on the field data of the Hulonggou Coal Mine in Shanxi province, this technical software was used to predict the gas emission of the mine. The research results show that the predicted value of the technical software is close to the actual measured value. The differing estimates of the working face and coal mine output primarily account for the deviation between the tool's predicted gas emission value and the field-measured value. The underlying design logic of this technical software determines that it has good adaptability to mines with clear mining technology parameters and gas geological parameters. This study provides a valuable method for researchers and engineers seeking to improve gas emission calculation efficiency.

Modeling and simulation of xenon storage and supply system for electric propulsion system based on fundamental equation of state

The electric propulsion system (EPS) xenon storage and supply system (SSS) is a complex pipeline network system, which involves the multi-physics coupled fields of transcritical flow, heat transfer, rigid body motion, electromagnetics, and control. Based on the fundamental equation of state, a one-dimensional finite volume model system is proposed for compressible transcritical transient pipe flow. Six typical components of the SSS are modularization modeled by using an object-oriented programming method in Fortran 2018. To evaluate the performance of the algorithm, a simulation model consisting of 77 components is developed for a proportional controlled EPS xenon SSS, and a system-level simulation is performed. Compared with the standard case constructed on the Amesim platform, the model has a pressure rise time error lower than 6%, and the restrictors mass-flow-rate errors of the anode, cathode, and neutralizer are less than 2.8% of the rated flow rate after stabilization. Moreover, the proposed model yields more accurate results at certain operating points. The model system provides an efficient reference for the design and optimization of EPS SSSs, and offers a new approach to simulate complex cryogenic pipe flow systems.

Проектирование интеллектуальной системы управления без-опасностью территорий

The conceptual stage of designing an intelligent territorial safety management system is presented. The article shows the problems of information support for management associated with the need to process a large volume of unformal-ized data and their low reliability. Existing descriptions of objects and processes are not constructive. The approval and decision-making processes are poorly algorithmized and there are no feedback mechanisms reflecting the quality of decisions. As an alternative, the article proposes the use of intelligent technologies that change the mechanisms for col-lecting, processing and using data. An ontological description of a multi-level management model is presented that formalizes the main tasks of ensuring the natural and technogenic security of territories. Management levels and ob-jects are highlighted, and their information support is shown. The model is based on assessments of territorial risks, rep-resenting a combination of comprehensive monitoring indicators. The novelty of the approach lies in the possibility of justifying the types and volumes of activities with the magnitude of risks, as well as linking management results with the necessary resources. The model is the basis of the intelligent system project. Using object-oriented programming methods, the transition from ontological description to structural and functional designing is shown. Representation of ontology elements in the form of sets allows the construction of multidimensional analytical models that reveal ways to solve management problems in specific conditions. This makes it possible to justify the composition of information and the requirements for its quality for each level of the territorial management hierarchy. Problem solving examples of ensuring territorial safety in accordance with the proposed classification are given. The model can be used as a scien-tific basis for management digitalization programs implemented in the constituent entities of the Russian Federation.

Development of fishery information system for production processes organization

The article substantiates the relevance of developing a software product that carries out the digitalization of the country’s fisheries management processes. The use of general scientific methods of structural analysis, synthesis, and formalization allowed us to develop a formal model of the subject area. Such a model became the basis for using object-oriented programming methods to obtain a full-fledged multi-user information system. Graphic images of screens of mobile and web-oriented versions of the system with a description of the functionality of user categories are presented. The developed information system allows to systematize and unify fishery processes, provide state control of the industry, and attract monetary investments into the industry.

HANDWRITTEN SIGNATURE RECOGNITION USING NEURAL NETWORKS

This work is devoted to solving the problem of signature recognition using neural networks. The authors proposed the use of convolutional neural networks to determine the signature class. Signatures play an important role in financial, commercial and legal transactions, their recognition guarantees the security of not only information, but the whole person. The use of neural networks for signature recognition allows you to reliably identify a user in an automated mode. The authors have developed a convolutional neural network, and also proposed an algorithm that consists of image preprocessing, including background segmentation, noise reduction, and image normalization. Image preprocessing improves the quality of the network. Next, feature extraction is performed, which consists of global features, such as the ratio of the height to width of the signature, the maximum horizontal histogram and the maximum vertical histogram, the horizontal center and the vertical center of the signature, the endpoints of the signature, the signature area, training a neural network with extracted features, recognition the owner of the handwritten signature and then predicting the class of the signature.
 Purpose – development of a handwritten signature recognition algorithm using neural networks.
 Methodology: the methods of computer vision were used in the work; deep learning methods, as well as object-oriented programming methods.
 Results: developed a handwritten signature recognition algorithm using a neural network.
 Practical implications: the application of the results obtained is useful in forensic analysis of documents, since a person uses a signature on a regular basis to sign checks, legal documents, contracts and other paper media that need protection. Therefore, when someone tries to copy a signature, a problem arises that can lead to undesirable consequences in the form of theft and further use of both personal data and other valuable secret information.

Personalized prediction of the probability of developing arterial hypertension and coronary heart disease in miners with anthracosilicosis using an automated system

Introduction. The remaining high level of production-related cardiovascular morbidity necessitates timely preventive measures. The development of an automated forecasting technique will make it possible to implement personalized and differentiated approaches in the prevention of cardiovascular pathology in persons in contact with harmful production factors.
 Materials and methods. The object of the study were workers employed in underground coal mining: One hundred sixty eight miners with previously diagnosed anthracosilicosis and 151 miners of the control group without lung pathology (a total of 319 people). Identification of diseases of the circulatory system and risk factors was carried out using clinical, laboratory, instrumental methods. The Bayes method was used to develop a forecasting system. The forecasting software as developed in the Lazarus environment using object-oriented programming methods.
 Results. The most informative markers associated with a high probability of developing arterial hypertension and coronary heart disease in workers with anthracosilicosis have been identified. A software “Automated system for personalized prediction of the probability of developing arterial hypertension and coronary heart disease in miners with anthracosilicosis” has been developed. An automated forecasting system determines the degree of risk of diseases based on the results of the sum of prognostic coefficients.
 Limitations. The limitation of the study was related to the sample of coal mine workers examined in the clinic of the Institute, namely: age from 40 to 54 years, long-term (more than 15 years) work experience in harmful working conditions. The study did not include miners who had other occupational diseases besides anthracosilicosis.
 Conclusions. An automated system of personalized forecasting ensures the formation of high cardiovascular risk groups with minimal time costs, which allows starting primary prevention of cardiological pathology in a timely manner.

INVESTIGATION AND DEVELOPMENT OF METHODS AND ALGORITHMS FOR ANALYZING VIDEO-EEG MONITORING OF DELAYED CEREBRAL ISCHEMIA AFTER SUBARACHNOID HAEMORRHAGE

Abstract. This work aims to study and develop methods and tools for analyzing video-EEG monitoring of delayed cerebral ischemia after subarachnoid haemorrhage. A study was made of methods and algorithms for processing video images, which are supposed to be used to recognize life events and medical care for a patient, which can lead to artefacts in the patient’s EEG records. An approach to video monitoring of the patient was proposed and tested on real video monitoring data using object-oriented logic programming methods in combination with neural network methods for image analysis.

RECOGNITION OF HUMAN ACTIVITY BY VIDEO DATA

The paper considers the problem solution of classifying the type of physical activity of a person according to visual data. The authors propose using of deep neural networks to determine the type of activity. The recognizing human activity from video data or a single image systems are currently actively used in various areas of human activity. As the example we can take the system for monitoring the effectiveness of enterprise employees. So solving the problem of recognizing human actions from visual data is an actual task. The authors developed an algorithm for determining the physical activity type by visual data based on the DenseNet121 and MobileNetV2 models. Then the deep neural network model was built and hyperparameters were selected, because pre-trained networks did not provide the required accuracy of detecting the type of physical activity. The software implementation of the model is made in the IDLE environment in the Python programming language. Experimental studies performed on a specialized UCF50 dataset containing 50 different types of human actions confirm the effectiveness of using the proposed approach to solve the problem. Additionally, the representativeness of the test data set was increased with the help of video sequences obtained from YouTube.
 Purpose – development of an algorithm for determining a person’s physical activity based on visual data.
 Methodology: in the work the methods of computer vision, deep learning methods and object-oriented programming methods were used.
 Results: an algorithm for tracking a person’s physical activity based on visual data using deep learning technologies has been developed.
 Practical implications: the obtained results can be used in human activity monitoring systems, for example, in tracking criminal activity, in medical diagnostics, in tracking the activity of office employees, etc.

Aplikasi Pengelolaan Data Penduduk di Kantor RW Berbasis Web

The RW17 Citaliktik Soreang office is one of the Residents' Associations having its address at Kp. Citaliktik Soreang Islamic Boarding School with various kinds of resident activities. Currently the population data collection at the Citaliktik RW17 Office is to collect citizen data in a conventional manner according to its category. With this, it is necessary to implement an information system, namely the Population Data Collection Application which is implemented through the website. By utilizing a computer or laptop device, the system will be developed using object-oriented software development and programming (OOAD) methods. With the aim of being able to assist the RW17 Citaliktik Soreang Office in improving the existing system with the hope that the processing and presentation of population data which is still conventional can make it easier to make this population data collection application. The result of making the application is a Population Data Collection Application at the RW17 Citaliktik Soreang Office.

Design of A Real-Time Object Detection Prototype System with YOLOv3 (You Only Look Once)

Object detection is an activity that aims to gain an understanding of the classification, concept estimation, and location of objects in an image. As one of the fundamental computer vision problems, object detection can provide valuable information for the semantic understanding of images and videos and is associated with many applications, including image classification. Object detection has recently become one of the most exciting fields in computer vision. Detection of objects on this system using YOLOv3. The You Only Look Once (YOLO) method is one of the fastest and most accurate methods for object detection and is even capable of exceeding two times the capabilities of other algorithms. You Only Look Once, an object detection method, is very fast because a single neural network predicts bounded box and class probabilities directly from the whole image in an evaluation. In this study, the object under study is an object that is around the researcher (a random thing). System design using Unified Modeling Language (UML) diagrams, including use case diagrams, activity diagrams, and class diagrams. This system will be built using the python language. Python is a high-level programming language that can execute some multi-use instructions directly (interpretively) with the Object Oriented Programming method and also uses dynamic semantics to provide a level of syntax readability. As a high-level programming language, python can be learned easily because it has been equipped with automatic memory management, where the user must run through the Anaconda prompt and then continue using Jupyter Notebook. The purpose of this study was to determine the accuracy and performance of detecting random objects on YOLOv3. The result of object detection will display the name and bounding box with the percentage of accuracy. In this study, the system is also able to recognize objects when they object is stationary or moving.

Rancang Bangun E-Sertifikat Berbasis Website Dengan Teknologi QRCode Menggunakan Metode Object Oriented Programming (Studi Kasus di Instansi Pendidikan Tinggi XYZ)

This research will discuss the analysis of the design and manufacture of website-based e-certificate applications using the Object Oriented Programming (OOP) method. The main problems that underlie this research are the waste in the use of paper and the cost of printing certificates, as well as the difficulty of distributing certificates to participants for every activity held in an agency. In addition, another problem is the number of fake certificates from activities that have been held and the difficulty of checking the authenticity of these certificates. Therefore, we need an application that can facilitate the making of certificates without having to be printed conventionally, assist in distributing certificates from activities that have been held to activity participants, as well as in checking the authenticity of certificates. For making applications using the OOP method with tools Unified Modeling Language (UML) as a tool in designing applications. The results achieved from this research are a website-based e-certificate application that will be used to print certificates digitally (paperless), distribute e-certificates from every activity organized by an agency, and check the authenticity of certificates using QRCode technology.

Teaching Design and Implementation of Design Mode in the Course of Java Programming in Higher Vocational Colleges

Java programming is one of the important courses for computer majors such as software technology in higher vocational colleges. The course has strong logic and abstraction, and is rich in content and practical. When studying this course, students should not only master the Java language and object-oriented programming ideas and methods, and cultivate programming habits, but also learn to use design patterns to efficiently solve real-world problems. In order to achieve the expected teaching goals in the limited class hours, universities must carry out teaching design work. This article will put forward some views on how to optimize the software design model teaching design and teaching activities based on the analysis of related concepts and teaching status.

APLIKASI STOCK OPNAME PRODUK KECANTIKAN KOSÉ BERBASIS ANDROID

Stock opname is an effort to control the turnover of a product so as not to deviate. The implementation of stock opname is inseparable from the support of the information system, therefore the aim of this study is to analyze the stock opname process of KOSÉ beauty product and to create a suitable application to facilitate the process. Analysis performed using the System Development Life Cycle. Data collection was obtained through interviews, observations, sampling and literature. The application design uses the Object Oriented Programming method. Testing application uses the blackbox method. The results of this study are an android application is made through Kodular and connected to the realtime database of Firebase, but the implementation of the application still has flaws in logic block-coding.

Research on Civil Aircraft Structural Strength Material Performance Database Based on SpringBoot

According to various materials used in civil aircraft structural strength analysis, and applying software engineering ideas and object-oriented programming methods, a set of civil aircraft structural strength material performance database system based on SpringBoot was developed. The scope of the material library management and the input data standards are initially defined, through the analysis of civil aircraft material data, the metal, composite materials and layup data are classified and managed respectively. The material library used for finite element calculation and strength inspection also provides the export function of Nastran material card, it has a certain reference value for highly-managed civil aircraft depots, and can achieve work collaboration and improve work efficiency.

PENERAPAN ALGORITMA SURF PENDETEKSI OBJEK PADA AUGMENTED REALITY BERBASIS ANDROID

Untuk penerapan konsep yang efektif dan efisien dalam pembelajaran menggunakan teknologi augmented reality yang interaktif. Pembelajaran multimedia merupakan bentuk pembelajaran secara interaktif. Pembelajaran dapat dilakukan dikelas maupun dalam bentuk tugas dirumah. Dampak dari pembelajaran interaktif ini sangat mempengaruhi kualitas pemahaman bagi pengguna. Berdasarkan pengujian dari teknologi augmented reality, penelitian, analisis dan analisis desain antarmuka interaktif, proses dan prinsip dilakukan melalui interaksi manusia dan komputer serta pengalaman pengguna. Metode desain antarmuka menggunakan metode Object Oriented Programming dan algoritma Speeded Up Robust Features. Hasil penelitian menunjukkan bahwa augmented reality interaktif dapat memberikan metode baru dalam proses pembelajaran dan memperbarui konten pembelajaran di kelas. Singkatnya, metode ini meningkatkan partisipasi dan antusiasme siswa, dan meningkatkan efektivitas pembelajaran.

PERANCANGAN APLIKASI ANDROID ABSENSI SISWA PADA SEKOLAH SMK NEGERI 5 PADANG

The purpose of this study was to design an application for attendance at the SMK Negeri 5 Padang school which was used as student absenteeism when the teaching and learning activities took place and to see reports of student attendance. The attendance process is carried out by utilizing a smartphone through a client-server based Android application, so that the attendance process no longer takes the timesheet on the picket table and records it on paper. The attendance application design was built using object-oriented programming methods using UML (Unified Modeling Language) modeling, among others: Context Diagrams, Use Case Diagrams, Activity Diagrams and Class Diagrams. On the server side the system is built using PHP (Hypertext Preprocessor) with CSS (Cascading Style Sheets) as an additional language and as an editor using SublimeText, while applications on the client side use the Java Development Kit (JDK) language and use MySQL as a database. The student absentee application at the SMK 5 Padang is produced namely, the application on the server side with a web display that is used for client management, while on the client side will produce an application used to retrieve student attendance data and view student attendance data reports Keywords: Sudent attendence, Android, Client-Server, PHP(Hypertext Preprocessor).

МЕТОД ТА КРОСПЛАТФОРМЕНИЙ ЗАСІБ АРХІВАЦІЇ ОДНОТИПНИХ ФАЙЛІВ

This work is devoted to the development of a method and cross-platform implementation of a file archiving tool of the same type. This software tool will allow you to efficiently archive a large number of files of the same type. The high level of the solution to this task was achieved through the use of modern Java programming language. In this thesis research and analysis of modern methods and means of archiving of data in the field of information technologies, analysis of approaches, methods and models of data archiving have been performed. The methods of compression and archiving of data and their comparative characteristics are considered. An overview of modern data archiving tools is performed, namely, processes of archiving on a cross-platform Java technology. The research performed during the research is based on multiple-theoretical and cross-platform approaches for performing cross-platform archiving of Java technology; structural software design - for implementation of cross-platform archiving of the same files; object-oriented programming methods - to implement algorithms and processes of the method of archiving of the same files and development of the corresponding software. In particular, the method of archiving of the same type files has been developed, the process of formation of the main vocabulary has been improved, the file archiving process has been improved.

Development of Drawing Program of Borehole Histogram Based on Delphi

Borehole data is basic in geological analysis in oilfield, geological and engineering exploration, and civil engineering departments, while the histogram that can visually represent borehole data is very important for extracting geological information and guide related work in the later stage. This paper develops the borehole chart automatic drawing program under Windows through the summary analysis of quantities of borehole data, based on the Delphi development platform, using the object-oriented programming method. This program can not only automate the mapping of single borehole histograms, but compare the porous histograms to draw the stratigraphic curve, so as to analyze the connection of different rock strata and their possible geological structures.

Suitability of Functional Programming for the Development of Mobile Applications: A Comparison of F# and C# Involving Xamarin

In recent years, functional programming has emerged from the academic world and has steadily gained popularity in the software industry. Still, it has not yet fully arrived in all application fields where it could bring its advantages to bear. This thesis examines the suitability of functional programming for the development of mobile applications using F# and Xamarin and compares it to the established method of object-oriented programming with C#. It therefore first shows how apps are typically built today within the Xamarin ecosystem. It then introduces functional programming in general and F# in particular, and it examines how app development with Xamarin could benefit from it. A case study is then carried out in which an app for Android and iOS is implemented twice: once object-oriented with C#, once functional with F#. The evaluation of this case study shows that functional programming with F# can be a viable alternative to the established object-oriented approach with C#.

Implementasi Model View Controller Pada Aplikasi Pemesanan Makanan Platform Sistem Operasi Android

Abstract It is common knowledge in big cities like Jakarta today that to start a small business in the field of food sales can be done quite easily. But to be able to survive, even growing in the midst of market competition, execution of innovations and superior strategies needs to be done. This paper discusses the making of a food ordering application using the mobile-based Object-oriented programming (OOP) method using an android platform that is systematically designed specifically to the characteristics of the object of study. Discovery requirements were carried out by conducting interviews, making scenarios, and ethnographic studies. System Modeling is applied with the UML method through activity diagrams, use-case diagrams, class diagrams and data flow diagrams. Furthermore, adding several features to the needs and demands of stakeholders was fulfilled by combining the MySQL database with Firebase - a Cloud-based platform from Google inc. to integrate the existing mobile user account that is already owned by the user on the device, as well as the utilization of other service facilities that have essential features for future application development. The final results of the study are 2 (two) applications integrated with the android platform, which consist of (1) Food ordering applications for clients (customers) that are expected to facilitate customers in obtaining product information, which further facilitates the purchasing process, and (2) Application management of the food sales process for the admin (seller / owner of the restaurant) and for carrying out additional promotional activities on his business activities.  Keywords : OOP, MVC, Android, Food Ordering