Use Of Object-oriented Programming Research Articles

Website Penetration Analysis Against XSS Attacks using Payload Method

This research aims to analyze the effectiveness of various penetration testing methods in identifying and mitigating XSS (Cross-Site Scripting) vulnerabilities in web applications. XSS is a type of web security attack that takes advantage of weaknesses in web applications to insert malicious code into web pages displayed to users. This attack can steal user data, take over user sessions, or spread malware. This research uses a penetration testing method with a black-box approach, where the researcher does not know the construction of the system being tested. Tests were conducted on 10 random websites, including 5 open-source websites and 5 commercial websites. The test results show that the payload method used is effective in exploiting XSS vulnerabilities on some websites. Of the 10 websites tested, 6 of them were successfully exploited using different payload methods. This research highlights the importance of using open-source penetration testing tools in detecting and addressing security vulnerabilities in web applications. These tools are easy to implement, supported by extensive documentation, and have a strong community. This research also emphasizes the importance of a deep understanding of how penetration testing tools work to identify and address security vulnerabilities. To address XSS vulnerabilities, this research recommends good programming techniques such as programming language updates, use of OOP (Object-Oriented Programming), MVC (Model-View-Controller) concepts, and use of frameworks. Further research can be done to develop and test new payload methods, explore the use of other penetration testing tools, and test security vulnerabilities in other types of web applications.

Survey on Concept of Object-Oriented Programming

These days, object-oriented programming is regarded as an essential programming concept.The moment Simula brought it into life. The use of object-oriented programming (OOP) has expanded in the software real world due to the future growth of the software business and the advancement of software engineering. The following review examines different oop concepts that are essential to object-orientation, in great detail. Many widely used object-oriented programming languages implement various parts of inheritance and polymorphism. We come to the conclusion that much more work needs to be done to find a middle ground so that these can accomplish OOPs features.

Using Python in developing video games

The aim of this paper is to investigate the capabilities of Python language to be used for game developing. On the other hand we are interested in analyzing the advantages offered by Python in introducing students and non-professionals in the game design world. As a prove of concept we implemented a slider game in Python using Ursina engine and highlighted how easy different concepts from game design can be implemented using Python.The conclusion is that the main disadvantage of Python (time execution) can be overcome exploiting the multiple data structures provided by the language, the use of OOP (Object Oriented Programming) and of multitude of available frameworks. The ease of learning and understanding the language is a major advantage. Our code can be accessed on Github. Our study and project can also be used as a starting point for developing Python-based projects for introductory game design courses.

Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis.

Open source analytical software for the analysis of electrophysiological cardiomyocyte data offers a variety of new functionalities to complement closed-source, proprietary tools. Here, we present the Cardio PyMEA application, a free, modifiable, and open source program for the analysis of microelectrode array (MEA) data obtained from cardiomyocyte cultures. Major software capabilities include: beat detection; pacemaker origin estimation; beat amplitude and interval; local activation time, upstroke velocity, and conduction velocity; analysis of cardiomyocyte property-distance relationships; and robust power law analysis of pacemaker spatiotemporal instability. Cardio PyMEA was written entirely in Python 3 to provide an accessible, integrated workflow that possesses a user-friendly graphical user interface (GUI) written in PyQt5 to allow for performant, cross-platform utilization. This application makes use of object-oriented programming (OOP) principles to facilitate the relatively straightforward incorporation of custom functionalities, e.g. power law analysis, that suit the needs of the user. Cardio PyMEA is available as an open source application under the terms of the GNU General Public License (GPL). The source code for Cardio PyMEA can be downloaded from Github at the following repository: https://github.com/csdunhamUC/cardio_pymea.

Decision support system for assessing the consequences of cyber attacks

The architecture of the Bayesian_Net decision support system (DSS) is described, which was developed to analyze data on signs of anomalies and cyberattacks based on the use of Bayesian Networks (BN) for this task. The proposed DSS is distinguished by the use of object-oriented programming and has a modular architecture. The Bayesian_Net DSS is designed to solve data mining problems, in particular, to analyze weakly structured problems related to cybernetic security (CS) of informatization objects (IO), and to assess the consequences of cyber attacks in conditions of weakly structured data on signs and detected anomalies.

FieldOpt: A powerful and effective programming framework tailored for field development optimization

Petroleum field development involves critical decisions such as well location, well completion design and optimal control setting that have a significant impact on revenues and costs. These decisions are associated with a large degree of engineering effort that commonly involves time-consuming reservoir simulations to compute the performance of different field development scenarios. Increasingly within the petroleum industry, software tools and optimization methodology are developed and implemented to support and augment the various decision-making processes. The overall aim of these tools is to increase productivity and improve decision quality. Within this context, this work introduces an open-source, extensible, tailor-made programming framework: FieldOpt. FieldOpt’s primary purpose is rapid prototyping and testing of optimization procedures to solve critical field development problems. The framework is implemented in C++ and provides an efficient integration of mathematical optimization procedures with reservoir simulation.FieldOpt’s modular architecture and use of object-oriented programming allow the users to adapt and extend the code with ease. The architecture has proven successful in facilitating new optimization algorithms, new use cases, and new methodology for optimization with minimal effort and change to internal data structures and data flow.Three use cases are presented to demonstrate the optimization capabilities of FieldOpt as well as the flexibility and ease-of-use of the software regarding configuring various optimization procedures to solve a range of field development problems. The three use cases presented optimize on well control, well completion design and well placement parameters, respectively. For each case, both the configuration of the algorithms and problems within FieldOpt as well as the final solution and performance of the different optimization procedures are discussed. In all three cases, FieldOpt was able to find significant improvements or crucial information to decision making.

Применение объектно-ориентированного программирования в инвентаризации оборудования

Применение объектно-ориентированного программирования в инвентаризации оборудования

Structure, Function, and Applications of the Georgetown-Einstein (GE) Breast Cancer Simulation Model.

The Georgetown University-Albert Einstein College of Medicine breast cancer simulation model (Model GE) has evolved over time in structure and function to reflect advances in knowledge about breast cancer, improvements in early detection and treatment technology, and progress in computing resources. This article describes the model and provides examples of model applications. The model is a discrete events microsimulation of single-life histories of women from multiple birth cohorts. Events are simulated in the absence of screening and treatment, and interventions are then applied to assess their impact on population breast cancer trends. The model accommodates differences in natural history associated with estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) biomarkers, as well as conventional breast cancer risk factors. The approach for simulating breast cancer natural history is phenomenological, relying on dates, stage, and age of clinical and screen detection for a tumor molecular subtype without explicitly modeling tumor growth. The inputs to the model are regularly updated to reflect current practice. Numerous technical modifications, including the use of object-oriented programming (C++), and more efficient algorithms, along with hardware advances, have increased program efficiency permitting simulations of large samples. The model results consistently match key temporal trends in US breast cancer incidence and mortality. The model has been used in collaboration with other CISNET models to assess cancer control policies and will be applied to evaluate clinical trial design, recurrence risk, and polygenic risk-based screening.

Object-Oriented Programming When Developing Software in Geology and Geophysics

The paper reviews the role of object-oriented programming when developing software in geology and geophysics. Main stages have been identified at which it is worthwhile to apply principles of object-oriented programming when developing software in geology and geophysics. The research was based on a number of problems solved in Geology and Petroleum Production Institute. Distinctive features of these problems are given and areas of application of the object-oriented approach are identified. Developing applications in the sphere of geology and geophysics has shown that the process of creating such products is simplified due to the use of object-oriented programming, firstly when designing structures for data storage and graphical user interfaces.

Simulation of Latex Film Formation Using a Cell Model in Real Space: Vertical Drying.

This paper presents a simulation tool applied to latex film formation by drying, a hybrid between a classical numerical resolution method using finite differences and cellular automata, and making use of object-oriented programming. It consists of dividing real space into cells and applying local physical laws to simulate the exchange of matter between neighboring cells. In a first step, the simulation was applied to the simple case of vertical drying of a latex containing only one population of monodisperse particles and water. Our results show how the distribution of latex particles evolves through the different drying stages due to a combination of diffusion, convection, and particle deformation. While repulsive interactions between the particles tend to favor homogeneous distributions in the first drying stage, concentration gradients that develop in opposite ways can be observed depending on the drying regime. The distributions, calculated in various cases, reproduce and extend several theoretical results and are in qualitative agreement with some experimental findings.

Procedimiento para el cálculo de circuitos en el modelado del flujo en intercambiadores de calor de aletas y tubos

En este trabajo se presenta un procedimiento general para la simulación del comportamiento del flujo en los intercambiadores de tubos y aletas con una gran flexibilidad en el manejo de la información. Este procedimiento está basado en el uso de Programación Orientada a Objetos y específicamente al uso de C++, esto debido a todas las ventajas de este tipo de programación. La entrada de datos se lleva a cabo por medio de archivos, de forma que programas de terceros puedan generar la configuración del intercambiador y permitir calcular el intercambiador en forma paramétrica. Los resultados para el análisis se presentan en tres formatos diferentes: valores separados por comas (CSV), texto plano estructurado y autodocumentado (XML) y un formato para la visualización gráfica de resultados (VTK).

Logistiese beplanning met behulp van simulasiemodellering: 'n Gevallestudie

This article gives an overview of the combined use of object-oriented programming and simulation, with the objective of analysing and planning the logistic functions of a firm. An object-oriented simulation approach is used to evaluate the reception and distribution function of a courier firm. Both the reception of and operations (sorting) on the parcels in the plant were simulated. The first objective of the firm was to analyse the productivity of the conveyer belts and workers in the sorting plant of the courier firm. The firm's utilisation of most of its resources is fairly good, but it is possible to obtain a more efficient process by restructuring its activities. Results from the simulation study showed an imbalance in the capacities of the workstations. Some of the workers, especially those to the end of the conveyer belts, spent almost all of their time waiting for parcels to reach them, while those at the beginning were working at maximum capacity. This is mainly due to the layout and structure of the system. The biggest bottleneck in the system was the capacity of the coupling between two of the conveyer belts. The conclusion was that the firm should seriously consider redesigning the plant. This is the first computer model of the firm's business activities that can be used as a planning tool, and fills a gap in its current planning function. This simulation can be used to determine where and how workers should be applied in the sorting process. The complete simulation model reaches its potential when used as a strategic operational tool, by forecasting the expected results from changing operations and plant layout. A new plant layout has been proposed to the firm, which the model shows to result in substantial improvements in the productivity of the workers, allowing a reduction in their numbers.

Designing Context-Driven English to Mother-Tongue Translation System

Responding to the need to develop an open source translation system, this paper aimed to present a prototype context-driven English to Cebuano machine translation system. The system was developed using the PHP programming language for easy and platform-independent deployment and MySQL for database management. It was piloted to 30 selected students using a piloted-tested survey questionnaire and test cases to evaluate the capability of the online translation system, technical and linguistic aspects. Findings show that the translation system was rated “Good” by the respondents based on George and Mallery’s rules of thumb. This means that it can translate English texts into Cebuano in a context-driven manner despite the latter’s ambiguity. The study further recommends additional morphological works and the use of object-oriented programming for future studies and development. Keywords: Linguistics, prototype, context-driven, translation, system, database, descriptive design, Philippines

An Open-Source Hardware/Software Architecture for Quadrotor UAVs

In this paper, we illustrate an open-source ready-to-use hardware/software architecture for a quadrotor UAV. The presented platform is price effective, highly customizable, and easily exploitable by other researchers involved in high-level UAV control tasks and for educational purposes as well. The use of object-oriented programming and full support of Robot Operating System (ROS) and Matlab Simulink allows for an efficient customization, code reuse, functionality expansion and rapid prototyping of new algorithms. We provide an extensive illustration of the various UAV components and a thorough description of the main basic algorithms and calibration procedures. Finally, we present some experimental case studies aimed at showing the effectiveness of the proposed architecture.

A B-Rep data structure and object GUI programming to implement 2D boundary elements

One of the main advantages of the Boundary Elements Methods (BEM) is the inherent feature of a Boundary Representation scheme (B-Rep),since it represents the geometry and physical properties of a model using just its boundary. This characteristic makes the representation andmanipulation of the model geometry an easy task, also allowing the boundary element mesh generation in a straightforward and simple way.Even though a simple pre-processor program may suffice for generating most two-dimensional boundary element models, in some specialcases the modeling procedure represents a cumbersome task, requiring pre-processor programs with enhanced characteristics. The specialcases considered in this work are non-trivial models, such as geometries with infinite or semi-infinite domains, multiple regions, disconnectedregions, cracks and holes. To handle with the modeling task of these special models, the present development proposes a scheme based onthe well-known Half-Edge data structure (HED). It also considers the use of Object-Oriented Programming (OOP) to implement a graphicaluser interface (GUI) with the proposed data structure. The results of step-by-step generation of some special two-dimensional models in theimplemented GUI illustrate the main characteristics of the proposed scheme.Keywords: Geometric Modeling, HED Data Structure, BEM, OOP, GUIs.

OPT++

Object-oriented programming is a relatively new tool in the development of optimization software. The code extensibility and the rapid algorithm prototyping capability enabled by this programming paradigm promise to enhance the reliability, utility, and ease of use of optimization software. While the use of object-oriented programming is growing, there are still few examples of general purpose codes written in this manner, and a common approach is far from obvious. This paper describes OPT++, a C++ class library for nonlinear optimization. The design is predicated on the concept of distinguishing between an algorithm-independent class hierarchy for nonlinear optimization problems and a class hierarchy for nonlinear optimization methods that is based on common algorithmic traits. The interface is designed for ease of use while being general enough so that new optimization algorithms can be added easily to the existing framework. A number of nonlinear optimization algorithms have been implemented in OPT++ and are accessible through this interface. Furthermore, example applications demonstrate the simplicity of the interface as well as the advantages of a common interface in comparing multiple algorithms.

A case study of environmental modelling and simulation using transplantable components

Recent changes in environmental modelling practice have included adoption of modern software engineering concepts of model reuse, extensibility and flexibility, and development of better visual user interfaces. Additionally, the concepts of component-based software development and use of object-oriented programming have produced new environmental modelling methods. These changes have been supported by development of a range of modelling environments that allow rapid creation of environmental models from components. To date there has been little exploration of the opportunities that modelling environments offer in terms of flexible model construction by transplanting components. In the work reported here, simple catchment-based nonpoint source pollution models are constructed using the ICMS modelling environment, and a number of different data types and components are used within a single model structure to estimate pollution loads. Models include a bulk runoff-concentration load calculation, an export coefficient model, and land-use specific runoff and loads. It was found that, when applied using a powerful and flexible modelling environment, the component-based modelling concept provides not only an elegant method for model development, but also the opportunity to explore model expansion and refinement through use of transplantable components.

What do the experts say?

This study examined ways to improve students' chances of success learning design concepts through the use of Object-Oriented Programming and Design (OOP&D) patterns by examining potentially effective ways to teach such patterns to novice programmers. Using hierarchical tree, complete-linkage analysis to survey a group of design experts, the study developed an order in which those experts believed thirty fundamental OOP&D patterns should be taught to optimize effective student learning. Once that basic order was identified, it became possible to divide the patterns into six sequential phases of patterns instruction to allow both maximal teaching and learning. Although the study did not present a conclusively effective approach for OOP&D teaching, it did provide information essential for future sequential phase patterns research.

The design and analysis of a quantitative simulator for dynamic memory management

The use of object-oriented programming in software development allows software systems to be more robust and more maintainable. At the same time, the development time and expense are also reduced. To achieve these benefits, object-oriented applications use dynamic memory management (DMM) to create generic objects that can be reused. Consequently, these applications are often highly dynamic memory intensive. For the last three decades, several DMM schemes have been proposed. Such schemes include first fit, best fit, segregated fit, and buddy systems. Because the performance (e.g., speed, memory utilization, etc.) of each scheme differs, it becomes a difficult choice in selecting the most suitable approach for an application and what parameters (e.g., block size, etc.) should be adopted. In this paper, a DMM simulation tool and its usage are presented. This tool receives DMM traces of C/C++ or Java programs and performs simulation according to the scheme (first fit, best fit, buddy system, and segregated fit) defined by the user. Techniques required to obtain memory traces are presented. At the end of each simulation run, a variety of performance metrics are reported to the users. By using this tool, software engineers can evaluate system performance and decide which algorithm is the most suitable. Moreover, hardware engineers can perform a system analysis before hardware (e.g., modified buddy system, first fit, etc.) is fabricated.

The application of object-oriented programming to Monte Carlo experiments on beams of phonons in crystals

Recently there has been a lot of interest in experiments with beams of particles and quasi-particles. In particular, beams of phonons (sound quanta) have been used for inventing new types of solid-state spectroscopies. In most real-life experiments, the down-converting long-wavelength acoustic phonons propagate in crystalline media which contain scattering centres. This means that the physical problem considered is quite general and concerns unstable, elastically scattered particles and quasi-particles. The underlying physical problem is so complex that until now the only effective method for the study of such beams has been computer experiments. This paper discuss some aspect of the use of object-oriented programming (OOP) for designing programs of computer experiments on beams of phonons, but the present methods can be applied to quite a wide class of experiments on beams of particles and quasi-particles of the other kinds. The main ideas of OOP are presented and illustrated with examples. The support for OOP concepts that C++ programming language provides is discussed.