Explore the vast range of titles available.

In the design of satellite systems, it is essential to control the satellite’s position for various reasons, either to have correct communication with a ground station or to make connections with other satellites. In the same way, the positioning of a satellite poses a significant challenge since its behavior is non-linear; due to these issues, several test benches have been developed for the satellite’s position problem. In this review, there will be a journey from the rise of the space age to the latest advances in technology for emulating the satellite’s dynamics.

The assessment of didactic effect is the most important in evaluating the effectiveness of training simulators. Modern methods of training specialists have shown that the most applicable at present is the step-by-step formation of skills and abilities. The methodology of obtaining the value of a complex indicator that takes into account the degree of influence of didactic possibilities realized in training simulators on the reduction of training time based on the methods of expert evaluation, the method of selecting the main component, convolution of single indicators into private ones and selection of the type of its function of a private indicator

The study analyzes computer modeling tools intended for use in educational and scientific contexts. The concept of modeling as a method of research and a teaching tool is examined, the emphasis is placed on computer modeling. It is shown how physical laws, particularly Coulomb’s law, can be studied through modeling. The study uses pre-made simulators, spreadsheets, mathematical packages, as well as our own software in Object Pascal and Python. Experimental testing has confirmed the effectiveness of computer modeling in teaching natural sciences. A survey of students and teachers showed interest in further use of simulation tools in the educational process.

Given the factors such as safety, profitability, and environmental concerns at stake, operator training is an everlasting and vital process in the process industry. An inevitable need for skilled operators in the chemical industry leads to search for novel and effective training methodologies. Consequently, dynamic simulation techniques have been considered as a tool to educate and train inexperienced personnel as expected by the industry. Traditional training methodologies are hardly sufficient to instruct the operators for seldom-occurring perilous situations. Conventional operator training simulators (OTS) are generally effective, but they lack to give operators the actual feel of the scenarios. Training effectiveness can be enhanced by providing operators with a sense of realism. Therefore, integration of OTS with virtual reality (VR-OTS) certainly comes out to be an alternative. VR-OTS can replicate emergency conditions, accidents, and investigate safety protocols. In this work, we discuss the need for virtual reality (VR) in OTS, merits of VR-OTS, and the role of training assessment methods. Contributions of OTS Authors’ in process industry from year 2000 to mid-2017 are reviewed and discussed extensively. The review shows that VR-OTS provides tangible benefits over its conventional counterparts in terms of improved safety of plant, increased productivity, and environmental protection. Finally, this paper outlines future scopes that the current researcher may consider to focus for the increased and improved VR-OTS usage.

We describe Global Atmosphere 7.0 and Global Land 7.0 (GA7.0/GL7.0), the latest science configurations of the Met Office Unified Model (UM) and the Joint UK Land Environment Simulator (JULES) land surface model developed for use across weather and climate timescales. GA7.0 and GL7.0 include incremental developments and targeted improvements that, between them, address four critical errors identified in previous configurations: excessive precipitation biases over India, warm and moist biases in the tropical tropopause layer (TTL), a source of energy non-conservation in the advection scheme and excessive surface radiation biases over the Southern Ocean. They also include two new parametrisations, namely the UK Chemistry and Aerosol (UKCA) GLOMAP-mode (Global Model of Aerosol Processes) aerosol scheme and the JULES multi-layer snow scheme, which improve the fidelity of the simulation and were required for inclusion in the Global Atmosphere/Global Land configurations ahead of the 6th Coupled Model Intercomparison Project (CMIP6).In addition, we describe the GA7.1 branch configuration, which reduces an overly negative anthropogenic aerosol effective radiative forcing (ERF) in GA7.0 whilst maintaining the quality of simulations of the present-day climate. GA7.1/GL7.0 will form the physical atmosphere/land component in the HadGEM3–GC3.1 and UKESM1 climate model submissions to the CMIP6.

This study aims to provide framework for considering fidelity in the design of simulator training. Simulator fidelity is often characterised as the level of physical and visual similarity with real work settings, and the importance of simulator fidelity in the creation of learning activities has been extensively debated. Based on a selected literature review and fieldwork on ship simulator training, this study provides a conceptual framework for fidelity requirements in simulator training. This framework is applied to an empirical example from a case of ship simulator training. The study identifies three types of simulator fidelity that might be useful from a trainer’s perspective. By introducing a framework of technical , psychological and interactional fidelity and linking these concepts to different levels of training and targeted learning outcomes, the study demonstrates how the fidelity of the simulation relates to the level of expertise targeted in training. The framework adds to the body of knowledge on simulator training by providing guidelines for the different ways in which simulators can increase professional expertise, without separating the learning activity from cooperative work performance.

PurposeTo investigate the influence of logistics and transportation workers’ perceptions of their management’s simultaneous safety and operations focus (or lack thereof) on related worker safety and operational perceptions and behaviors.Design/methodology/approachThis multi-method research consisted of two studies. Study 1 aimed to establish correlational relationships by evaluating the impact of individual-level worker perceptions of operationally focused routines (as a moderator) on the relationship between worker perceptions of safety-related routines and workers’ self-reported safety and in-role operational behaviors using a survey. Study 2 aimed to establish causal relationships by evaluating the same conceptual relationships in a behavioral-type experiment utilizing vehicle simulators. After receiving one of four pre-task briefings, participants completed a driving task scenario in a driving simulator.FindingsIn Study 1, the relationship between perceived safety focus and safety behavior/in-role operational behavior was strengthened at higher levels of perceived operations focus. In Study 2, participants who received the balanced pre-task briefing committed significantly fewer safety violations than the other 3 treatment groups. However, in-role driving deviations were not impacted as hypothesized.Originality/valueThis research is conducted at the individual (worker) level of analysis to capture the little-known perspectives of logistics and transportation workers and explore the influence of balanced safety and operational routines from a more micro perspective, thus contributing to a deeper understanding of how balanced routines might influence worker behavior when conducting dynamic tasks to ensure safe, effective outcomes.

The output characteristics of any solar modules or solar cells are typically assessed according to the standard requirements known as Standard Test Conditions (STC). To meet the STC requirement before commercializing products, manufacturers must subject every fabricated solar cell or module to various tests. These tests include conducting current-voltage characteristics under specific conditions: a solar irradiance of 1000 W/m², a cell temperature of 25°C, and an air mass (AM) of 1.5. This study investigates this STC requirements for developing an alternative measurement platform for photovoltaic cells, specifically focusing on current-voltage characterization of solar cells. Utilizing calibrated photovoltaic cells, the optimal angles for Air Mass 1.0 and 1.5 was identified to be 48.2° and 41.8° respectively. Main methodology was segregated in three stages: first, correlating solar irradiance and illuminance under different light conditions, both outdoor and indoor; second, designing a system with a cooling device to stabilize cell temperature at 25°C; and third, developing a platform to meet AM 1.0 and 1.5 requirements. Results demonstrated varying irradiance outputs for sunlight, halogen lamps, and LED Grow Lights, with the latter achieving 810.2 W/m² under AM 1.5. The study also established optimal voltage and current settings for temperature stabilization, achieving 25°C in 3 minutes. Although the proposed solar simulator design did not reach the targeted 1000 W/m², it offers a feasible low-cost alternative for small-scale applications. The research underscores the technical viability of developing cost-effective solar simulators that meet STC requirements, despite challenges in achieving high irradiance levels with LEDs.

In this paper, both grounded and floating type novel designs of inductance simulator, capacitance multiplier simulator and frequency-dependent negative conductance (FDNC) simulator are proposed. Current follower differential input transconductance amplifier (CFDITA) is utilized as active building block in the realization of the proposed works. All the proposed ideas employ grounded capacitor(s) as only passive element(s) which make these designs suitable to modern integration technology. The proposed designs are electronically tunable as transconductance of CFDITA can be varied with bias current. Additionally, the proposed designs have no matching constraints. PSPICE with 0.18 µm CMOS technology process parameters is used to perform simulations of the proposed designs. Experimental verification of functionality of the proposed grounded inductance simulator is also done using commercially available ICs, AD844 and LM13700. The applications of the proposed floating inductance simulator as band-pass filter and band-reject filter are explored. Additionally, proposed grounded FDNC simulator is also tested in third-order high-pass filter to demonstrate the applicability aspects.

The Internet of Things (IoT) has emerged as an important concept, bridging the physical and digital worlds through interconnected devices. Although the idea of interconnected devices predates the term “Internet of Things”, which was coined in 1999 by Kevin Ashton, the vision of a seamlessly integrated world of devices has been accelerated by advancements in wireless technologies, cost-effective computing, and the ubiquity of mobile devices. This study aims to provide an in-depth review of existing and emerging IoT simulators focusing on their capabilities and real-world applications, and discuss the current challenges and future trends in the IoT simulation area. Despite substantial research in the IoT simulation domain, many studies have a narrow focus, leaving a gap in comprehensive reviews that consider broader IoT development metrics, such as device mobility, energy models, Software-Defined Networking (SDN), and scalability. Notably, there is a lack of literature examining IoT simulators’ capabilities in supporting renewable energy sources and their integration with Vehicular Ad-hoc Network (VANET) simulations. Our review seeks to address this gap, evaluating the ability of IoT simulators to simulate complex, large-scale IoT scenarios and meet specific developmental requirements, as well as examining the current challenges and future trends in the field of IoT simulation. Our systematic analysis has identified several significant gaps in the current literature. A primary concern is the lack of a generic simulator capable of effectively simulating various scenarios across different domains within the IoT environment. As a result, a comprehensive and versatile simulator is required to simulate the diverse scenarios occurring in IoT applications. Additionally, there is a notable gap in simulators that address specific security concerns, particularly battery depletion attacks, which are increasingly relevant in IoT systems. Furthermore, there is a need for further investigation and study regarding the integration of IoT simulators with traffic simulation for VANET environments. In addition, it is noteworthy that renewable energy sources are underrepresented in IoT simulations, despite an increasing global emphasis on environmental sustainability. As a result of these identified gaps, it is imperative to develop more advanced and adaptable IoT simulation tools that are designed to meet the multifaceted challenges and opportunities of the IoT domain.