PI control based on parameter space approach supported metaheuristic optimization algorithms and ANFIS in a natural gas combined cycle power plant

In this article, proportional‐integral (PI) control to ensure stable operation of a steam turbine in a natural gas combined cycle power plant is investigated, since active power control is very important due to the constantly changing power flow differences between supply and demand in power systems. For this purpose, an approach combining stability and optimization in PI control of a steam turbine in a natural gas combined cycle power plant is proposed. First, the regions of the PI controller, which will stabilize this power plant system in closed loop, are obtained by parameter space approach method. In the next step of this article, it is aimed to find the best parameter values of the PI controller, which stabilizes the system in the parameter space, with artificial intelligence‐based control and metaheuristic optimization. Through parameter space approach, the proposed optimization algorithms limit the search space to a stable region. The controller parameters are examined with Particle Swarm Optimization based PI, artificial bee colony based PI, genetic algorithm based PI, gray wolf optimization based PI, equilibrium optimization based PI, atom search optimization based PI, coronavirus herd immunity optimization based PI, and adaptive neuro‐fuzzy inference system based PI (ANFIS‐PI) algorithms. The optimized PI controller parameters are applied to the system model, and the transient responses performances of the system output signals are compared. Comparison results of all these methods based on parameter space approach that guarantee stability for this power plant system are presented. According to the results, ANFIS‐ PI controller is better than other methods.

WhatsApp as a University Tutoring Resource

Tutoring, as a process of accompaniment of university students, has among its purposes identification of and reflection on the various difficulties that can interfere in the development of student competencies. To the same end, the present research explores the possibility of using WhatsApp as a tutoring resource in universities, with an emphasis on identifying and reflecting on the academic, personal, and family problems of students. This case study uses a quasi-experimental approach with a treatment group and a control group intentionally selected at the Escuela Profesional de Educación Secundaria de la Universidad Nacional del Altiplano de Puno, Peru, during the first semester of the 2020 academic year. Data were collected using semi-structured interview guides and individual tutoring cards. The results show that this technological resource improved the university tutoring service among the students in the experimental group. It proved more flexible and attractive to students, who were motivated to externalize and reflect on their personal, family, and academic difficulties and showed increased openness to receiving help in problem solving them. On the other hand, student participation was less active in the control group. These findings affirm that WhatsApp is a resource that can allow more spontaneous and friendly communication between tutors and students, creating a context conducive to achieving the objectives of university tutoring.

The Sense of Safety and Active Leisure in Gated Enclaves: Evidence from Fuzhou University Campus

Scientific interest in how residential patterns affect both people’s subjective sense of safety and their behavior is increasing. The surge of gated communities in the world has changed the way we live to a great extent. Research on the gated development trend in postmodern cities is still limited;therefore, the purpose of this study was to analyze the relationship between residents’ attitudes toward gated enclaves and their sense of safety. At the same time, the relationship between a sense of security and active leisure behavior was also investigated. Using data collected from 350 college students in Fuzhou University Town, this study introduces a conceptual model to test the relationship between closed enclaves, campus security, and active leisure behavior while controlling population and community characteristics. The results of structural equation model analysis show that gated enclaves positively correlate with campus safety and positively correlate with active leisure behavior, and a safe campus positively correlates with active leisure behavior. The results of this study focus on the importance of gated enclaves as a living environment, and the discovery of functional characteristics of gated enclaves supports future interventions. In other words, when promoting active leisure behavior and increasing the sense of safety in the neighborhood environment, attention must be paid to the characteristics of these gated enclaves. In addition, the simultaneous measurement of these structures provides a dynamic observation of the existing environment, as well as information for future research and construction. Decision makers and urban planners can use these results to promote interaction and healthy behavior in the community under the multi-angle development of the existing access control, thereby improving residents’ sense of security, and increasing leisure participation.

Financial feasibility assessment of adopting active controlled atmosphere containers for exporting highly perishable fruits during COVID-19: case of Taiwanese atemoya

Purpose>This study deals with attenuating the risk of relying on a single export market, which was heightened by the outbreak of the COVID-19 pandemic. It focuses on Taiwanese atemoya (a fruit with short storage life) and the adoption of active controlled atmosphere (CA) containers, a new technology which lengthens storage time for other export markets. This study looks at the financial feasibility of the technology's first ever use in atemoya exports.Design/methodology/approach>Apart from the standard financial assessment tools—like net present value (NPV), internal rate of return (IRR), benefit-cost ratio (BCR) and payback period (PBP)—this study calibrated five different scenarios based on data gathered from relevant market agents including suppliers, exporters, customs brokers and technology developer.Findings>Due to the high profit margin and low investment cost, the use of active CA containers for long-haul exports of this highly perishable fruit is found both technically and financially feasible, despite the generally higher operational cost during the pandemic.Research limitations/implications>This study looked at three specific export markets: Malaysia, Dubai and Canada. Results here may lack generalizability in other markets, although it is believed that slight deviations would not invalidate the conclusions of this research because short, medium and long distances were all covered therein.Originality/value>This paper studies the first time that active CA is used for export of atemoyas to expand existing markets.

Automatic Sanitization Robot

This project describes the evolving role of robotics in healthcare and allied are as with special concerns relating to the management and control of the spread of the novel coronavirus disease 2019 (COVID-19). The prime utilization of such robots is to minimize person-to-person contact and to ensure cleaning, sterilization and support in hospitals and similar facilities such as quarantine. This will result in minimizing the life threat to medical staffs and doctors taking an active role in the management of the COVID-19 pandemic. The intention of the present research is to highlight the importance of medical robotics in general and then to connect its utilization with the perspective of COVID-19 management so that the hospital management can direct themselves to maximize the use of medical robots for various medical procedures. This is despite the popularity of telemedicine, which is also effective in similar situations. In essence, the recent achievement of the Korean and Chinese health sectors in obtaining active control of the COVID-19 pandemic was not possible without the use of state of the art medical technology.To overcome the problem developed automatic portable sanitizing equipment for spraying sanitization solution. The portable sanitizer unit is attached to the top of the mobile robot. The system integrates a sprinkler mechanism and is used to distribute air and disinfectant fluid mixture. The mobile robot main components consist of a DC motor, Bluetooth module, Arduino, Motor driver, Submergible pump, Sprinkler, Battery, DC Converters are used. The system is capable of sanitizing the floors of hospitals.

Flow Control in Wings and Discovery of Novel Approaches via Deep Reinforcement Learning

In this review, we summarize existing trends of flow control used to improve the aerodynamic efficiency of wings. We first discuss active methods to control turbulence, starting with flat-plate geometries and building towards the more complicated flow around wings. Then, we discuss active approaches to control separation, a crucial aspect towards achieving a high aerodynamic efficiency. Furthermore, we highlight methods relying on turbulence simulation, and discuss various levels of modeling. Finally, we thoroughly revise data-driven methods and their application to flow control, and focus on deep reinforcement learning (DRL). We conclude that this methodology has the potential to discover novel control strategies in complex turbulent flows of aerodynamic relevance.

A review of mathematical model-based scenario analysis and interventions for COVID-19.

Mathematical model-based analysis has proven its potential as a critical tool in the battle against COVID-19 by enabling better understanding of the disease transmission dynamics, deeper analysis of the cost-effectiveness of various scenarios, and more accurate forecast of the trends with and without interventions. However, due to the outpouring of information and disparity between reported mathematical models, there exists a need for a more concise and unified discussion pertaining to the mathematical modeling of COVID-19 to overcome related skepticism. Towards this goal, this paper presents a review of mathematical model-based scenario analysis and interventions for COVID-19 with the main objectives of (1) including a brief overview of the existing reviews on mathematical models, (2) providing an integrated framework to unify models, (3) investigating various mitigation strategies and model parameters that reflect the effect of interventions, (4) discussing different mathematical models used to conduct scenario-based analysis, and (5) surveying active control methods used to combat COVID-19.