Vol. 6 No. 07 (2024): Volume 06 Issue 07

This study delves into the optimization of industrial processes through the application of PID (Proportional-Integral-Derivative) controllers for optimal level control. PID controllers are widely utilized in various industries to maintain desired levels of parameters such as liquid levels, pressure, and temperature. Effective tuning techniques play a crucial role in maximizing controller performance, ensuring stability, responsiveness, and minimal overshoot. This research investigates significant PID tuning methods, including Ziegler-Nichols, Cohen-Coon, and model-based approaches, evaluating their applicability and effectiveness in real-world industrial applications.

This study explores the fundamental achievement elements in Public-Private Partnership (PPP) highway development projects in Malaysia. By identifying and analyzing the critical success factors (CSFs), the research aims to provide a comprehensive understanding of the key elements that contribute to the successful implementation and operation of PPP highway projects. The analysis includes an evaluation of various dimensions such as project planning, stakeholder collaboration, financial structuring, risk management, and regulatory frameworks. Through a combination of qualitative and quantitative methods, including case studies and expert interviews, the study highlights best practices and offers strategic recommendations for enhancing the efficiency and effectiveness of PPP highway initiatives. The findings are intended to guide policymakers, project managers, and private sector partners in fostering more sustainable and successful infrastructure development through PPPs in Malaysia.

A review of the literature on scientific approaches in the development of composite materials and building structures made of composites is carried out. When creating and manufacturing traditional and new composite materials, for example, by additive manufacturing, and when creating structures and structures in engineering calculations, new techniques, finite element computational software systems, and neural network technologies are used, which are used in the creation of modern metal and composite materials, analysis of mechanical characteristics of materials, forecasting loads on the structure, optimization of structures and calculation of their construction characteristics.

The distinctive features of modern composite materials are shown. The main types of composite materials are considered: talc, diatomite, calcium carbonate, gibbsite, barium sulfate, feldspar, nepheline, aragonite, calcium carbonate, wool, silk, cotton, linen, jute, wood pulp, asbestos, fiberglass, metal fibers, quartz fibers, basalt fibers, polyamide fibers, polyester fibers, polyvinyl alcohol fibers, carbon fibers, viscose fibers. The physical and mechanical characteristics of composite materials (based on epoxy, aluminum, carbon, magnesium, and nickel matrices) and traditional (steel, aluminum, brick, concrete) building materials are presented.

The disadvantages of such composite materials as carbon fiber, fiberglass, organoplastics, textolite, carbon concrete, and polystyrene concrete are presented.

Deformation diagrams of some types of fibers for composite materials are considered: high-modulus carbon fibers, high-strength carbon fibers, aramid fibers, glass fibers, and basalt fibers.

The advantages of the system of external reinforcement of building structures with composite materials are described. Examples of reinforcement of building structures are considered: reinforced concrete reinforcement; reinforcement of floor slabs; reinforcement of columns; and reinforcement of brick walls.

In the world of Android application development, building scalable and easily supported systems is a crucial task. The Model-View-Intent (MVI) architectural pattern has proven to be an effective approach to achieve these goals due to the strict separation of responsibilities between components, unidirectional data flow and an emphasis on immutability. This article discusses the basic principles of the MVI architecture, its advantages and disadvantages, as well as its impact on the testability and maintainability of applications. Using MVI allows you to improve the predictability of application behavior, simplify debugging and state management, and also contributes to modularity and ease of code maintenance. In conclusion, examples of successful application of MVI in practice are discussed, which confirms its usefulness for the development of complex and highly loaded applications.

This study aims to develop an automated system for processing scientific texts using advanced NLP techniques. The methodology integrates classical NLP methods with deep learning approaches, employing SciBERT for text classification, LDA for topic modeling, and a modified TextRank algorithm for keyword extraction. Results demonstrate high accuracy in document classification (F1-score of 0.92), effective topic identification, and precise keyword extraction. The developed web interface showcases the system's practical applicability. This research contributes to the field by presenting a comprehensive solution for scientific text analysis, combining state-of-the-art language models with established NLP techniques. The study's novelty lies in its tailored approach to scientific literature, addressing the unique challenges of domain-specific language and complex content structure in academic texts.

This paper touches upon the best practices for implementing the Salesforce Enablement Playbook and achieving organizational success. The article highlights the importance of aligning business drivers; setting a vision, defining the target state, and creating an action plan through a deep dive into the customer journey and CRM upstream business processes. Organizations can realize potential ROI elements such as predictable revenue, customer 360, increased agent productivity, and cost optimization by following these guidelines. CRM Transformation Timeline and Milestones scheme is presented as well. The efficiency percentage is also provided. The article concludes with a discussion on the value additions of Salesforce products and features, emphasizing the importance of smarter service, personalized marketing, and faster decision-making.

In today's world, Globalization and fast-growing economics force enterprises and governments to keep up with the times. Stakeholders are highly interested in reducing downtime, directly impacting profitability rates and customer satisfaction. Under that pressure, maintenance managers and other stakeholders should consider how to alter their current practices and make their systems more efficient and reliable. Many industrial organizations such as ExxonMobil, BP, Chevron, Equinor, Repsol, Total, and others have already invested in AI projects related to predictive analytics to increase reliability levels and optimize their supply chain operations (Tom Mostyn, 2019).

Strong cybersecurity measures are required in this digital era due to the high risk of cyber assaults on people, businesses, and governments. Protecting yourself from cyber threats is the focus of this study, which delves into preventative and reactive measures. To address security weaknesses proactively, it is recommended that advanced encryption technologies and multi-factor authentication (MFA) be implemented and frequent security audits conducted. Implementing intrusion detection and prevention systems (IDPS), real-time monitoring, and quick incident response protocols are all components of reactive methods. In addition, the article delves into how AI and ML improve cyber threat detection and response capabilities by predicting and fighting cyber threats. Users must have cybersecurity education and awareness because user mistakes are still a significant risk. To protect digital assets from the always-changing cyber threat landscape, this paper seeks to offer a broad overview of successful cybersecurity procedures by reviewing existing tactics and emerging developments.

This study examines the application of containerization in the development and deployment of esports platforms. Utilizing a comprehensive methodology including literature review, expert evaluations, and experimental modeling, the research investigates architectural solutions, scalability, fault tolerance, and security aspects of containerized esports systems. The findings demonstrate that containerization, coupled with microservices architecture and orchestration tools like Kubernetes, provides significant advantages in terms of flexibility, scalability, and resilience. Results indicate that while containerization offers substantial benefits, its successful implementation requires careful planning and optimization. The research contributes to the understanding of practical aspects of container technologies in esports platform development, offering methodological approaches and architectural solutions for creating high-performance, reliable systems capable of meeting the growing demands of the esports industry.

Artificial Intelligence (AI) tools are increasingly integrated into software engineering tasks such as code generation, defect prediction, and project planning. However, widespread adoption is hindered by developers’ skepticism toward opaque AI models that lack transparency. This paper explores the integration of Explainable AI (XAI) into software engineering to foster a “developer-in-the-loop” paradigm that enhances trust, understanding, and collaboration between developers and AI agents. We review existing research on XAI techniques applied to feature planning, debugging, and refactoring, and identify the challenges of embedding XAI in real-world development workflows. A modular framework and system architecture are proposed to integrate explanation engines with AI models, IDEs, dashboards, and CI tools. A case study on explainable code review demonstrates how transparent AI suggestions can improve developer trust and team learning. We conclude by highlighting future directions, including personalization of explanations, cross-SDLC integration, and human-AI dialogue mechanisms, positioning XAI as essential to the next generation of intelligent development environments.