Concept Of Systems Research Articles

A multi-objective indirect neural adaptive processes control design for minimization of energy consumption: An experimental validation on a transesterification reactor

Nowadays, energy management environment is a very important issue that technologies have focused on in order to save costs and minimize energy waste. This objective can be achieved by means of an energy resource management approach through an appropriate optimization technique. However, energy savings can conflict with other objective functions, to solve the problem a multi-objective optimization that considers the minimization of the control energy can be adopted. In this paper, we propose to use a multi-objective indirect neural adaptive control concept for nonlinear systems with unknown dynamics. The control scheme consists of an adaptive instantaneous neural emulator and neural controller built on fully connected real-time recurrent learning networks (RTRL). The multi-objective particle swarm optimization (MOPSO) algorithm is used as a mechanism to find NE and NC adaptive learning rates that optimize the proposed objective functions: control energy minimization and closed-loop preservation. Comparative studies and experimental validation on a semi-batch reactor, used to generate cleaner biofuels, are performed to confirm the effectiveness of the proposed strategy.

Corporate Governance: Exploring Key Concepts, Mechanisms, and Historical Evolution

Corporate governance involves several key concepts that help define its scope and purpose. Though review of key corporate governance concepts and historical evolution is widespread in the extant literature, detailed review across the globe is limited. Motivated by this dearth, this study reviewed these concepts and explored how firms rely on them to implement effective corporate governance. The study employed documentary and descriptive research methods to review concepts of corporate governance, systems, mechanisms and historical perspectives around the world. Our study discovered that understanding internal controls helps ensure compliance, minimize risks and safeguard the firm’s assets. Similarly, the study discovered that executive compensation structures help align management interests with shareholder value and external oversight through auditing and regulation which provides an unbiased assessment of the firm’s financial reports. Our historical perspective of corporate governance highlighted significant milestones that have shaped its evolution. Importantly, these include reports and acts aimed at addressing corporate scandals and improving governance practices. We also discovered that to improve corporate governance standards worldwide, multilateral organizations like the Organisation for Economic Cooperation and Development (OECD) among others have played a number of roles in developing international guidelines and codes of best practice. Further, the study explored the dynamic nature of corporate governance in response to evolving economic, social and technological trends. The study concluded that understanding the concepts, systems, mechanisms and historical perspectives of corporate governance is essential for firms and stakeholders to maintain transparency, accountability and sustainable performance.

Experimental verification of a common assumption in the use of concentration-dependent interdiffusion coefficient

There has generally been a view that concentration-dependent interdiffusion coefficient, D(C), obtained at any diffusion temperature and time is a material constant and can be reliably used to predict diffusion effects at all other isothermal diffusion times. This notion which is implicitly predicated on the assumption that diffusion-induced stress (DIS) rapidly and completely relaxes once formed and does not influence D(C) is experimentally verified in the present work. The results of the study show that reliably computed D(C) from concentration profile obtained at long diffusion time fails to correctly predict concentration profiles at shorter diffusion periods, due to isothermal variation of the D(C) with time. Accordingly, instead of continuing to assume that D(C) is time-independent and can be reliably used to predict diffusion effects at any isothermal diffusion time, without appropriate experimental support, proper experimental verification of this crucial concept in other alloy systems, as done in the present work, is imperative.

Quantized embedding approaches for collective strong coupling-Connecting abinitio and macroscopic QED to simple models in polaritonics.

Collective light-matter interactions have been used to control chemistry and energy transfer, yet accessible approaches that combine abinitio methodology with large many-body quantum optical systems are missing due to the fast increase in computational cost for explicit simulations. We introduce an accessible abinitio quantum embedding concept for many-body quantum optical systems that allows us to treat the collective coupling of molecular many-body systems effectively in the spirit of macroscopic quantum electrodynamics while keeping the rigor of abinitio quantum chemistry for the molecular structure. Our approach fully includes the quantum fluctuations of the polaritonic field and yet remains much simpler and more intuitive than complex embedding approaches such as dynamical mean-field theory. We illustrate the underlying assumptions by comparison to the Tavis-Cummings model. The intuitive application of the quantized embedding approach and its transparent limitations offer a practical framework for the field of abinitio polaritonic chemistry to describe collective effects in realistic molecular ensembles.

Providing organizations with a validated instrument for an Enterprise Service Management capability

In light of new digital opportunities, enterprises require modernization also with regard to intra-organizational business and IT management. Enterprise Service Management (ESM) is an organizational capability aimed at a more efficient and effective IT and business service management in organizations. Although ESM has been recognized as an approach to improve customer and employee satisfaction and to create digital competitive advantage, there is a methodological and analytical void for organizations in how to measure their ESM capability. Motivated by this lack of measurability and tangibility, we aim to empirically validate the ESM capability model. Our contribution to this paper is empirical, as we provide a measurable instrument for further ESM studies. We aim to initiate a broader debate on ESM and thereby add to the scholarly establishment of the concept in the Information Systems and IT Management literature. Practically, we contribute by offering companies a validated and actionable set of ESM characteristics.

A LiDAR-Based Digital Twinning Workflow for Traffic Monitoring and Simulation

Abstract. The process of ensuring efficient and safe urban transportation is closely linked to urban planning, particularly through the aspects of transportation planning. Transportation planning is a pivotal concern for urban regions worldwide, reflecting the growing need to increase mobility while ensuring safety and sustainability in densely populated areas. This research focuses on developing a novel digital-twin-based approach for micro-traffic simulation to support data-driven decision-making for increasing traffic safety through scenario planning. Leveraging the traffic data obtained through monitoring one of the busiest intersections in Sofia city, this research workflow shows the effective integration of LiDAR data and the urban digital twin concept in intelligent transportation systems (ITS). The research addresses problems related to moving object classification, trajectory analysis, and reclassification of unrecognised objects by processing the LiDAR data, pre-processed in a .osef format, thereby transforming it to make it suitable for simulation. The proposed solution for the monitoring of urban traffic is demonstrated by the usage of SUMO (Simulation of Urban MObility) for performing simulations and a Random Forest model for unrecognized object reclassification to pre-existing vehicles and pedestrian classes. The architecture of the proposed workflow can possibly be applied in other similar urban settings, providing a scalable solution for both traffic management and urban planning. The study’s results support the wider use of urban digital twin principles in ITS by highlighting the value of advanced modelling tools and high-quality data in addressing today's urban transportation challenges.

Formation and Preservation conditions of ultra-deep (>6000 m) hydrocarbon systems

For 40 years, the concept of petroleum systems has been well developed and a considerable amount of actual data has been accumulated. However, with the beginning of the development of ultra-large depths (more than 6000 m, although nowadays this boundary has been lowered to 8000 m) it became clear that many processes proceed somewhat differently, and some a priori assumptions cease to be relevant. The article deals with the peculiarities of formation and conditions of preservation of petroleum systems when diving to ultra-large depths. Special attention is paid to numerous examples of HC detection in the liquid phase accumulated over the last decades, when the upper ‘classical’ threshold of formation temperatures, at which, as it was supposed, the transformation of liquid HC into gaseous should occur. Examples of studies of ultra-deep sections, first, well data, considered in the article, allow us to constantly revise upward the maximum temperatures in the pools, leading to oil destruction, previously estimated rather conservatively. This, in turn, causes reassessment of HC potential of many basins. At the same time, the volume of reserves of both oil and gas in ultra-deep sections is constantly increasing, especially in China, where vast experience of direct continental projects has been accumulated. At the same time, there are limited opportunities to prepare any practical recommendations directly, and the development of methods for forecasting such accumulations requires further significant efforts. It can be confidently assumed that the upper limit of the so-called ultra-deep will fall significantly below 8000 m, as the data show that geological constraints are significantly decreasing, technological solutions are continuously emerging, and their costs are steadily decreasing. The development of ultra-deep projects as an alternative to the so-called ‘shale’ projects will inevitably lead to an increase in their efficiency in developing oil and gas deposits, which are not perceived as such today. The article considers examples of ultra-deep hydrocarbon systems in the basins of continental China (Tarim, Dzungarian and Sichuan) and the Gulf of Mexico (Perdido folded zone).

Decision-making frameworks for assessment of small-scale off-grid photovoltaic home system-based design concepts in rural context of north-east India

Energy security plays an influential role in developing sustainable cities and promoting a better quality of life for the population. The United Nations' sustainable development goal focuses on energy security. Against the backdrop of India's energy concerns in the northeastern region, the study investigates the user-centric challenges related to the designs of solar photovoltaic home system concepts to facilitate access to energy. This is followed by the proposal of design concepts for solar photovoltaic home systems that take due cognizance of the identified challenges. To facilitate determining the optimal design concept in the context of small-scale off-grid photovoltaic home systems the paper proposes and applies an extended TOmada de Decisao Interativa Multicriteria (TODIM) methodology wherein the linguistic evaluations have been modelled using T-Spherical fuzzy sets. The information was aggregated using T-Spherical Fuzzy Aczel-Alsina Hammy Mean and T-Spherical Fuzzy Aczel-Alsina Weighted Hammy Mean operators. Ten design concepts were developed and evaluated through the proposed decision-making frameworks. Five performance metrics arising out of the field study: Functionality, Reliability, Affordability, Novelty and Usability have been chosen to appraise the conceptualized design concepts. Design concept 3 has been revealed to be the optimal design concept for the application of the proposed approach. Sensitivity analysis of the ranking results revealed that although both the proposed methodologies are robust, the methodology based on T-Spherical fuzzy Aczel-Alsina Weighted Hammy Mean operator was revealed to be the superior of the two. By presenting an effective method to address the complexities in design assessment for off-grid PV systems, this research offers practical insights to guide context-specific design in the region.

Compatible weak factorization systems and model structures

In this paper, the concept of compatible weak factorization systems in general categories is introduced as a counterpart of compatible complete cotorsion pairs in abelian categories. We describe a method to construct model structures on general categories via two compatible weak factorization systems satisfying certain conditions, and hence, generalize a very useful result by Gillespie for abelian model structures. As particular examples, we show that weak factorization systems associated to some classical model structures (for example, the Kan-Quillen model structure on sSet) satisfy these conditions.

THE TRAINING OF TEMPERATURE MONITORING SYSTEM WITH LM35 SENSOR BASED ON RESBEERY PI

Abstract. This community service activity aims to train the community on developing and implementing a temperature monitoring system using the LM35 sensor integrated with Raspberry Pi. This training was carried out to improve people's understanding and skills, especially in utilizing microcontroller-based technology and IoT (Internet of Things) in daily life, especially in the field of room temperature or environmental monitoring. This activity involves targets, for example, teachers, students, and technicians, at SMA AL-IRSYAD TEGAL, with training methods that include basic theories about temperature sensors, introduction to Raspberry Pi, and hands-on practice in assembling and programming temperature monitoring systems. The results of this training showed that participants could understand the basic concepts of temperature monitoring systems and could apply the knowledge gained in making simple devices that can measure and display temperature in real time. The activity evaluation showed that most of the participants felt helped by this training and showed high interest in further developing the system that had been studied. In the future, it is hoped that similar activities can continue to be carried out to empower the community to utilize technology for daily needs. Keywords: Community service, temperature monitoring system, LM35, Raspberry Pi, technology training.

System friendliness of distributed resources in sustainable energy systems

The increasing share of volatile renewable energy generation in current and future energy systems which does not follow the demand, makes it necessary to shift the synchronization tasks to the system and demand level. The intended demand side consumption management is usually incentivized via financial mechanisms. However, the optimum design of related incentives is still unclear. It is usually discussed under the term “system friendliness” which in turn still lacks a broadly accepted definition. In this article we introduce a new technical definition of “system friendliness” and develop comprehensive and holistic related indicators. For that, we introduce the burden concept for energy systems which represents the amount of technical infrastructure required for stable operation. We use the concept of a hypothetical system energy storage to derive indicators that are capable of quantifying the system friendliness of a given point-of-interest. The developed indicators are independent of regulations or market environments which enables comparability of results between studies and different systems. In a case study we demonstrate our newly developed methodology and exemplary examine decentral district energy storages. Our findings demonstrate that today’s regulatory environments that usually support residential self-consumption maximization are counterproductive. Instead, we show that dynamic end-user prices coupled with dynamic feed in tariffs are able to incentivize an almost 100% system friendly behavior of distributed prosumers.

Art therapy and neuroscience: evidence, limits, and myths.

The evidence base for the effectiveness of art therapy continues to grow, even as a mechanistic understanding of how art therapy works remains limited. One promising avenue for increasing our understanding of how and why art therapy works is through the lens of neuroscience. A neuroscience-based approach to art therapy provides opportunities for improving understanding of the neural processes that underlie the complex interaction between perception, cognition, emotion and behavior that play out in the art therapy process. Understanding how therapeutic change occurs can result in improved treatment and better outcomes for clients. However, it can be tricky to connect art therapy and psychological theory directly to neural responses. The purposes of this perspective are to provide an overview of the current evidence and limits of neurobiological concepts of neuroplasticity, mirror systems, and interoception as applied to art therapy practice, and to provide updated information about outdated concepts that are still actively used in clinical practice. Critical analysis and understanding of the current scientific knowledge base can then be used to guide art therapy practice and support the development of hypothesis-based research to determine the primary mechanisms that drive the observed effects of art therapy interventions.

Methodical system of training future english language teachers based on a complex of approaches

Introduction. The article describes a methodical system for developing professional competencies of future English language teachers based on communicative, cognitive and synergetic approaches. The relevance of the study is due to the need to ensure effective professional training of future teachers in the context of the increasing complexity of the educational environment and the diversity of student needs. The purpose of the study is to design a methodical system based on a complex of approaches that allows creating more adaptive and flexible conditions for the training and professional development of future English language teachers, taking into account modern requirements and challenges in the field of education. Materials and Methods. During the study, a theoretical analysis of scientific literature and legal documents on the issue under study was carried out, as well as a comparative analysis of existing concepts of methodical systems and models for the formation of professional competencies of future teachers. The methods of analysis, synthesis, comparison, generalization and modelling are used in the study. Results. As a result of theoretical and comparative analysis of scientific research, generalization of our own practical experience, a methodical system for developing professional competencies of future English language teachers based on a complex of approaches has been developed, its key components, which ensure the comprehensive and systematic nature of the educational process, have been described, as well as the mechanism of their interaction. All components of the system are presented in target, content, conceptual and methodical, effective blocks. Discussions and Conclusions. The development of a methodology for the formation of professional competencies of future English language teachers based on communicative, cognitive and synergetic approaches in the process of studying special disciplines with a focus on the integration of disciplinarydevelopment and the progressive formation of competencies is a prospect for further research.

Tuning the Electronic Properties of Bridged Dithienyl-, Difuryl-, Dipyrrolyl-Vinylene as Precursors of Small-Bandgap Conjugated Polymer.

Optoelectronic properties of linear π-conjugated polymers/oligomers are of great importance for the fabrication of organic photonic and electronic devices. To this end, the π-conjugated polymers/oligomers need to meet both optoelectronic and key structural properties in order to fulfill their implementation as active components. In particular, they need to possess low bandgap and high thermal, conformational, and photochemical stabilities. So far, several strategies have been developed to attain such requirements including the covalent and non-covalent rigidification concepts of the π-conjugated systems. On the basis of these findings, we describe herein the theoretical studies of novel series of covalently bridged derivatives demonstrating the benefits of the strategy. Comparison of these derivatives with compounds previously described in the literature highlights enhanced optoelectronic properties and behaviors that would be beneficial for the construction and development of new linear π-conjugated polymers.

Navigating the complexities of post-traumatic stress disorder and its variants

SUMMARY In this issue of BJPsych Advances Siddaway explores the challenges of assessing and treating post-traumatic stress disorder (PTSD) and complex PTSD. In this commentary I reflect on those challenges, not least of which is the need for a thorough understanding of different approaches to diagnoses. The very concept of diagnostic classification systems can be problematic, but when used sensitively they can aid communication, assessment and treatment. The relatively new diagnosis of complex PTSD may serve as a more accurate and more useful description of some psychological difficulties, leading to better treatment decisions. Good assessment, leading to accurate diagnosis, useful formulation and effective treatment takes time, and adequate resources should be allocated. Professionals can help patients to make well-informed choices about treatment options and they should offer evidence-based treatments without unnecessary delay.

Big Data and Ideational Institutionalism. Reconsidering the Possibilities and Limitations of Google Ngram in the Study of Ideas

AbstractIdeas and ideational change are difficult to grasp. When exactly did the idea of sustainability emerge? How has the meaning of democracy changed over time? Did ideational change precede or follow institutional change? These and many similar questions are highly relevant to the emerging field of ideational institutionalism, but they are difficult to answer conclusively without reliable data. Google Books Ngram Viewer, a tool introduced in 2011, opens up new possibilities in this regard by allowing the analysis of millions of print sources over time. However, after initial euphoria, its use has waned somewhat due to growing doubts about its reliability and the validity of the results it produces. Some of these problems have been addressed, but the debate about the potential and limitations of Google Books Ngram Viewer is ongoing. This research note will contribute to this debate by proposing a systematization for the use of search terms based on the concept of belief systems and by presenting the results of a reliability test for the German language corpus.

FRACTAL DIFFUSION IN AN ISOTROPOUS MEDIUM

This paper provides a comprehensive examination of fractal diffusion in an isotropic medium. This process has a fascinating temporal memory and an extremely high initial response, which are unquestionably characterized by the Caputo fractional derivative. Its spatio-symmetric property is described by the Riesz fractional derivative. To illustrate the diffusion mechanism, we present an example of a toxic gas leak in a subway station. The numerical results are extremely promising and challenging. They clearly indicate that a MEMS-based gas sensor can track a toxic gas leak immediately due to its extremely fast diffusion at the initial time. This is of great importance for public safety. Furthermore, the diffusion process is primarily contingent upon the density of the air, which we can easily control. The diffusion pattern in an isotropic medium exhibits fractal behavior, which is extremely helpful for designing an emergency system for evacuating people from the center of toxic gas leaks by changing air density or temperature. This paper presents a rigorous mathematical concept for monitoring systems and early warning systems for toxic gas leaks.

Unmasking the complexities of healthcare access in low-resource settings: a health systems approach to obstetric and under-5 healthcare in rural settings of Eastern Uganda

ABSTRACT Background Access to appropriate obstetric and under-5 healthcare services in low-resource settings is a challenge in countries with high mortality rates. However, the interplay of multiple factors within an ecological system affects the effectiveness of the health system in reaching those in need. Objective This study examined how multiple factors concurrently affect access to obstetric and child healthcare services in resource-poor settings Methods The research used social autopsies [in-depth interview] with mothers who experienced newborn death [n = 29], focus group discussions [n = 8] with mothers [n = 32], and fathers [n = 28] of children aged 6–59 months, and the author’s field observations in Eastern Uganda’s rural settings. The research employed narrative and inductive thematic analysis, guided by concepts of social interactions, behaviour, and health institutional systems drawn from system theory. Results The study unmasked multiple concurrent barriers to healthcare access at distinct levels. Within families, the influence of mothers-in-law and gender dynamics constrains women’s healthcare-seeking autonomy and agency. At the community level, poor transport system, characterised by long distances and challenging road conditions, consistently impede healthcare access. At the facility level, attitudes, responsiveness, and service delivery of health workers critically affect healthcare access. Negative experiences at health facilities profoundly discourage the community from seeking future health services. Conclusion The findings emphasise the persistent influence of structural and social factors that, although well documented, are often overlooked and continue to limit women’s agency and autonomy in healthcare access. Enhancing universal access to appropriate healthcare services requires comprehensive health systems interventions that concurrently address the healthcare access barriers.

Developing a Logistics Ontology for Natural Language Processing

The business area requires the presence of Supply Chain services, to respond to the constantly evolving requirements. Supply chains are dynamic networks that include a continuous flow of processes, starting with the supplier and ending with the customer. For effective supply chain management, a conceptual understanding of the knowledge underlying this field is of utmost importance. On the other hand, ontologies are considered one of the most appropriate ways of representing knowledge and valuable tools for decision-making situations. The purpose of this paper is to present an ontology created to identify the common concepts of supply chain management systems, with the ultimate goal of supporting and promoting Natural Language Processing technologies through the representation of terminological knowledge for this specific field.

Non-modal analysis of transient growth in a liquid annular jet surrounded by gas flow

Transient energy growth is a common mathematical concept in many fluid flow systems, and it has been widely investigated in recent years using non-modal analysis. Non-modal analysis can characterize the short-term energy amplification of perturbations, which is influenced by the Reynolds number, the Weber number, and the initial conditions such as the wavenumber. In gas–liquid coaxial nozzles, annular jets are often produced, and their breakup process is influenced by transient energy growth. However, research in this area has been limited so far. This paper for the first time investigates the transient energy growth of an annular liquid jet in static gas and validates it using a modified annular jet model. In the derivation process, the gas–liquid interfaces inside and outside the annular liquid film are taken into account. It has been found that there exists an optimal initial condition for a certain Reynolds number and a Weber number. The increase in the Reynolds number and ratio of inner and outer radius of the annular jet can maximize the transient growth under a specific initial wavenumber, while the increase in gas/liquid density ratio and the Weber number will minimize the transient growth. It is also found that transient energy growth is caused by the displacement of the free boundary.