Realistic Performances Research Articles

Enhancing Historical Extended Reality Experiences: Prompt Engineering Strategies for AI-Generated Dialogue

Extended reality offers unique ways to create mediated spaces that enhance and help popularize experiences across several domains, including entertainment, creativity, and culture. There are still issues that hinder the widespread adoption of the medium, such as the over-reliance on scripted sequences, generalized approaches, and curated asset production. Artificial intelligence can be used to, in part, alleviate these issues, but this comes with its own set of challenges, such as factual inaccuracy or hallucinations. We delve into prompt engineering methods for the GPT API, enhancing context understanding to enable more realistic performances in historical event recreations. Specifically, we experiment with the Great Fire of Smyrna in 1922 as our historical context, situating the AI agent in the middle of chaos as a resident that has been affected by the event. Our experiments demonstrate that refined prompt engineering techniques significantly reduce factual inaccuracies and enhance the emotional resonance of AI-generated dialogues, which can lead to more immersive and engaging XR experiences. Our experiments indicate that AI can effectively support historical recreations by providing dynamic and contextually appropriate interactions.

Simulating Bulk Ore Sorting Performance of a Panel Cave Mine: A Comparison between Two Approaches

Conceptual bulk ore sorting studies are essential for determining a potential improvement in mine economics before undertaking on-site sensor trials. Two approaches, block modelling and drill core compositing, are applied to simulate the bulk ore sorting performance of mining operations. While one employs the grade data of a block model, the other approach utilizes composited drill core grades. This study aimed at comparing these two approaches by estimating in-situ grade heterogeneities and simulating the bulk ore sorting performances of the currently active caves of the Cadia East panel cave mine. The results show that block modelling tends to smooth the grade variability that initially exists in the drill core grade data. Particularly in the portions of the deposit where drilling is sparse or widely spaced compared to the selected block size, block modelling leads to lower grade heterogeneity and bulk ore sorting performance estimates. However, when the drill hole data is nonrepresentative of the area of interest, block modelling can predict more realistic bulk ore sorting performances compared to drill core grades. The assessments performed with the blocks and drill core composites of various sizes showed that grade heterogeneity was adversely affected by an increased sorting scale due to averaged metal grades.

A Soft Computing Scaled Conjugate Gradient Procedure for the Fractional Order Majnun and Layla Romantic Story

The current study shows the numerical performances of the fractional order mathematical model based on the Majnun and Layla (FO-MML) romantic story. The stochastic computing numerical scheme based on the scaled conjugate gradient neural networks (SCGNNs) is presented to solve the FO-MML. The purpose of providing the solutions of the fractional derivatives is to achieve more accurate and realistic performances of the FO-MML romantic story model. The mathematical model is divided into four dynamics, while the exactness is authenticated through the comparison of obtained and reference Adam results. Moreover, the negligible absolute error enhances the accuracy of the stochastic scheme. Fourteen numbers of neurons have been taken and the information statics are divided into authorization, training, and testing, which are divided into 12%, 77% and 11%, respectively. The reliability, capability, and accuracy of the stochastic SCGNNs is performed through the stochastic procedures using the regression, error histograms, correlation, and state transitions for solving the mathematical model.

A Combined Dynamic Programming and Simulation Approach to the Sizing of the Low-Level Order-Picking Area

In order to increase the efficiency of the order-picking process, warehouses are forced to find ways to adopt to constantly intensifying changes in the assortment and quantities of stored products. Accordingly, we present a methodology that deals with such a problem at a tactical level by defining the optimal size and an allocation of products within the order-picking area of the most typical order-picking setting. The methodology combined two methods, dynamic programming and simulation modelling, with the aim of taking advantages of their positive features. In that sense, the optimal allocation of products for different sizes of the order-picking zone were obtained by the dynamic programming approach. Afterwards, the influence of a demand’s seasonality and variations were treated by the simulation model, so that the more realistic performances of the system were captured for the optimal allocation of products. The methodology was tested on the retailer data with significant week seasonality. The obtained results confirmed the practical applicability of the methodology in real systems, while the sensitivity analysis of results showed that special attention and effort should be given to the determination of costs related to the engagement of order-pikers, storage equipment and unit replenishment during a planning period.

Experimental analysis of airtightness performance in high-rise residential buildings for improved code-compliant simulations

Recently, the government of Korea announced a green remodeling policy to improve building energy efficiency and achieve the zero energy goals by 2030. As a result, the insulation performance of residential buildings has been enhanced every 2–3 years for the past 10 years. However, the airtightness performance has been revised once only for windows and doors. Also, energy modelers in practice still use a predetermined and fixed infiltration value for code-compliant energy simulations in the design stage without any differences in air leakages. Currently, a few articles investigated measured data of air leakage rates for high-rise residential buildings in Korea. Thus, typical code-compliant models may not represent realistic airtightness performances, especially in retrofits that were built in different construction years (i.e., the 1990s to 2010s). In this study, we performed the experimental analysis of the airtightness in residential buildings in Korea. The blower door tests were conducted in twelve representative households in the capital area. The results were compared to the previous measurement studies, and specific metrics were calculated to confirm the characteristics of influential factors on airtightness in residential units. The measurement showed that the airtight performance of the recently built residential buildings has improved by about 3–4 times compared to the residential buildings built 30 years ago. The identified airtightness in this study will provide better knowledge for designers and engineers to develop more accurate residential energy models for code compliance.

High-fidelity simulation for the education of nursing students: a scoping review of the literature.

High-fidelity simulation can be defined as a technique to refine specific human performance in a protected environment, and thanks to the innovation of technologies it has been possible to obtain increasingly realistic performances. The aim of this study is to map and describe the effects of training through a high-fidelity simulation method on the technical and non-technical skills of nursing students in an emergency setting. A scoping review was chosen as research methodology within some main databases of biomedical interest: MEDLINE, Scopus, CINAHL, PsycINFO, Academic Search Index, Science Citation Index and ERIC. 530 articles were selected. Of these, 21 met the inclusion criteria and underwent the review process. Participants undergoing the intervention demonstrated better skills than the control group when subjected to a simulation based on realistic scenarios. The selected articles can be divided into two categories: those that focus essentially on non-technical skills and those that study only technical skills. Evidence suggests that HFS should include feedback, briefing and debriefing; it should be applied in every area of nursing education; student self-efficacy, confidence and competence are key principles to consider when measuring the effect of a simulation environment.

Applications of Body Language in Theatrical Performance—Taking Practice in Campus Plays as Examples

As drama is the art of action, action is the core factor for actors’ portrayal of their roles. On the stage, body language is a very essential way to showcase the roles that actors play as well as the lines delivered. This essay is to explain the distinctiveness of body language applied in drama performance from three perspectives: particularity of character images shown by body language; prescriptive scenario restraints on body language; realistic yet dramatic performances of body language. Besides, combining the practical campus plays, relevant issues will be stated with solutions to the body language performing issues of non-professional actors.

Energy Balance, Cost and Architectural Design Features of 24 Building Integrated Photovoltaic Projects Using a Modelling Approach

This paper presents the energy balance, architectural design features and cost aspects of 24 building integrated photovoltaic (BIPV) projects in three different contexts, namely BIPV in residential, office and historical buildings. These BIPV projects have been modelled and evaluated for different geographic locations because the European Energy Performance of Buildings Directive (2018/844/EU) has resulted in country-specific regulations and situations aimed towards the reduction in energy consumption, and hence the CO2 emissions of built environments. Moreover, the geographical variation of irradiation affects the performance of different BIPV projects on different locations. The results of our study show that the return of investment of BIPV projects across 12 countries took (on average) 13.3 years. Furthermore, the residential projects —as compared to non-residential buildings—were mostly energy plus buildings with an average self-sufficiency of 110% due to their low energy consumption. In conclusion, most BIPV projects resulted in realistic energy performances (on average: 761 kWh/kWp.year), low payback times (10 years for residential and office buildings), and modelled unique design features.

Investigation of Small Wind Turbine Noise as per IEC 61400-11 and AWEA 9.1 Standard

This paper analyzes the noise generated from a 5 kW test wind turbine generator (WTG), having hub height, rotor diameter, cut-in and rated speed of 15m, 4m, 3 m/s and 12 m/s respectively, according to IEC 61400-11 (acoustic noise) standard. It discusses the realistic and comparable performances of small WTG that sets its own characteristics in terms of power and acoustic performances. Standard set by American Wind Energy Association (AWEA 2009) has also been incorporated in this research together with IEC 61400-11. For measuring noise level, the averaging period has been considered to be 10-second as per AWEA 2009. The study attempts to analyze time-series noise data recorded at different distance from the WTG for finding Noise (dB)- Frequency (Hz), RPM-Volt and Noise-RPM relationship. The current analysis done with the help of wind speed histogram bin each of size 1 m/s estimates that, the ranges of RPM, overall noise and background noise lie between 0 - 170, 45.17 (dB) - 48.78 (dB) and 33.2 (dB) - 65.6 (dB) respectively. The correlation between the WTG noise and background noise indicates for the research that the environmental impact due to noise for the WTG is subject to analyze and may not be underrated.

An Analysis of Pumped Thermal Energy Storage With De-coupled Thermal Stores

Results from the first demonstration of Pumped Thermal Energy Storage (PTES) were published in 2019, indicating an achieved turn-round efficiency of 60-65% for a system capable of storing 600kWh of electricity. PTES uses a theoretically reversible thermodynamic cycle involving compression and expansion stages with constant pressure heat addition and rejection to hot and cold thermal stores. Energy storage turn-round efficiency largely depends on the isentropic efficiencies of the compression and expansion equipment, the thermal effectiveness of the thermal stores, the presence of circuit pressure drops, heat leaks to and from the system and electrical machine efficiencies. We present a simulation model of a PTES system which is used to produce an inventory of the relative magnitudes of the various system losses. We consider the feasibility of a large-scale, 1GWh nominal storage capacity, PTES system with de-coupled thermal stores; and provide comparison with the so far more investigated, coupled system. Based on ambitious yet realistic component performances, we calculate an energy storage turn around efficiency of 65.3% and 59.5% for the coupled and de-coupled systems respectively. Even with dwell times in the charged state as long as 5 days, a turn-round efficiency of over 50% is still predicted in both systems; suggesting that PTES could offer a viable large-scale, long duration energy store.

Data‐Driven Facial Simulation

AbstractIn Visual Effects, the creation of realistic facial performances is still a challenge that the industry is trying to overcome. Blendshape deformation is used to reproduce the action of different groups of muscles, which produces realistic static results. However, this is not sufficient to generate believable and detailed facial performances of animated digital characters.To increase the realism of facial performances, it is possible to enhance standard facial rigs using physical simulation approaches. However, setting up a simulation rig and controlling material properties according to the performance is not an easy task and could take a lot of time and iterations to get it right.We present a workflow that allows us to generate an activation map for the fibres of a set of superficial patches we call pseudo‐muscles. The pseudo‐muscles are automatically identified using k‐means to cluster the data from the blendshape targets in the animation rig and compute the direction of their contraction (direction of the pseudo‐muscle fibres). We use an Extended Position–Based Dynamics solver to add physical simulation to the facial animation, controlling the behaviour of simulation through the activation map. We show the results achieved using the proposed solution on two digital humans and one fantastic cartoon character, demonstrating that the identified pseudo‐muscles approximate facial anatomy and the simulation properties are properly controlled, increasing the realism while preserving the work of animators.

Symbiotic organisms search algorithm‐based optimal control strategy for efficient operation of variable‐speed wind generators

The penetration rate of grid-tied wind turbine generator systems (WTGSs) into the existing electricity networks is rapidly increasing worldwide. Huge efforts are exerted for improving the characteristics of variable-speed wind energy conversion systems. This study exhibits a novel symbiotic organisms search algorithm (SOSA)-based optimal control strategy for achieving efficient operation of a grid-connected WTGS. The optimal control strategy relies on proportional–integral (PI) controllers, which are properly fine-tuned using the SOSA. The simulation-based optimisation method is considered in the optimisation process, where the integration of the square error criterion is selected as a fitness function. To obtain realistic performances, practical wind speed data extracted from the Zaafarana power plant in Egypt are used in the analyses. The efficacy of the SOSA-based optimal PI control strategy is compared with that realized using the grey wolf optimiser algorithm (GWOA)-based PI control scheme, considering network disturbances. The feasibility of the proposed control strategy is validated using the simulation studies, which are implemented using MATLAB/Simulink software. Notably, the proposed SOSA-based optimal control strategy is considered to be a precise means of improving the behaviour of grid-tied WTGSs.

Numerical simulation and laboratory evaluation of alkali–surfactant–polymer and foam flooding

Tertiary recovery techniques such as alkali–surfactant–polymer flooding (henceforth ASP) and foam flooding have been widely administered in production operations of oil reservoirs which have led to the higher value of oil recovery factor, especially in heavy-oil reservoirs. The objective of this extensive study is to provide a comparative study between numerical simulation which was used by the commercial software implicit pressure and explicit composition (henceforth IMPEC) and experimental investigation for different injectivity scenarios of foaming agent and ASP solution after water and gas flooding on the oil recovery enhancement. To do this, simulation parameters for each scenario were considered in the simulator to investigate the results of each scenario on the oil recovery enhancement. Due to the presence of a gas phase in the realistic performances, the experiments were performed in the presence of three-phase fluids to match the results with the operational circumstances. Moreover, regarding the lack of information about the considerable influence of in situ gas which is in the trapped and continuous phase, the dissolved gas is taken into the evaluation. To validate the simulation analysis, an experimental investigation was performed for different scenarios and selected the optimum injectivity scenario. Consequently, regarding the presence of gas phase, ASP flooding after gas and water flooding had the maximum oil recovery factor and was considered as the optimum technique to produce initial oil in place. The reason for this phenomenon is elaborated to the more feasibility of gas phase which had led to the more mobilization of the oleic phase in the porous medium.

Three dimensional cyclonic turbulent flow structures at various geometries, inlet-outlet orientations and operating conditions

Flow structure inside a chamber greatly determines the process performances. Therefore, the flow structure inside a chamber are often constructed in such a way as an effort to obtain equipment performances in accordance with the expectations. This study explored flow structure inside several chamber geometries and operating conditions. Three types of chamber, namely; GTC, DTC and TJC were set as the investigated chambers. The Computational Fluid Dynamics technique, supported by some experimental data from the literature, is used as an investigation method. The RANS based models, under Ansys-Fluent software were used in this numerical investigation. Simulation results revealed that the flow structures of GTC and DTC are predominantly created by spiral and vortex patterns. The vortex stabilizer diameter in the GTC affects the vortex pattern, velocity profile and pressure drop. The flow structure of DTC presents the most complex behavior. The flow structure inside TJC, in the case of unconfined outlet boundary, is characterized by the helical and wavy jet pattern. This structure is determined by the initial tangential intensity (IIT) and the inlet aspect ratio (RIA). The structures of vortex, helical, and wavy axial flow are properly constructed and visualized in this paper. There is no a turbulence model which is always superior to the other models, consistently. The standard k-ε model exhibits the realistic and robust performances among all of investigatied cases.

Proppant Crushing Mechanisms Under Reservoir Conditions: Insights into Long-Term Integrity of Unconventional Energy Production

Proppant crushing, a major proppant failure mechanism, occurs in geothermal energy and oil/gas stimulation production stages when the level of net stress exerted on the proppant exceeds the actual crush resistance of the material. Loss of effective reservoir conductivity due to proppant crushing can result in significant loss in productivity, and so it is crucial to understand the realistic proppant mechanical performances under deep reservoir conditions. This review provides a comprehensive overview of proppant crushing at the micro- to macro-levels by analyzing single proppant breakage, as well as re-arrangement and breakage mechanisms of proppant packs under in situ fracture environments. The choice of an appropriate proppant type based on the fracture treatment plays a key role in effective geothermal and oil/gas recovery. In addition, injection of proppants with better characteristics (higher sphericity, lower size, better gradation and lower granular porosity) can significantly influence the reduction of the extent of proppant crushing. Moreover, this study compares the performances and responses of different types of proppants upon proppant interaction with geothermal and oil/gas reservoir environments. Furthermore, this paper discusses various proppant types and their enhanced characteristics, which can be utilized as controlling measures for proppant crushing during unconventional energy extraction.

0.18µm-CMOS Rectifier with Boost-converter and Duty-cycle-control for Energy Harvesting

Existing works on battery-less of energy harvesting systems often assume as a high efficiency of rectifier circuit for power management system. In practice, rectifier circuit often varies with output power and circuit complexity. In this paper, based on a review of existing rectifier circuits for the energy harvesters in the literature, an integrated rectifier with boost converter for output power enhancement and complexity reduction of power management system is implemented through 0.18-micron CMOS process. Based on this topology and technology, low threshold-voltage of MOSFETs is used instead of diodes in order to reduce the power losses of the integrated rectifier circuit. Besides, a single switch with the duty-cycle control is introduced to reduce the complexities of the integrated boost converter. Measurement results show that the realistic performances of the rectifier circuit could be considerably improved based on the performances showed by the existing study.

Sound localization models as evaluation tools for tactical communication and protective systems.

Tactical Communication and Protective Systems (TCAPS) are hearing protection devices that sufficiently protect the listener's ears from hazardous sounds and preserve speech intelligibility. However, previous studies demonstrated that TCAPS still deteriorate the listener's situational awareness, in particular, the ability to locate sound sources. On the horizontal plane, this is mainly explained by the degradation of the acoustical cues normally preventing the listener from making front-back confusions. As part of TCAPS development and assessment, a method predicting the TCAPS-induced degradation of the sound localization capability based on electroacoustic measurements would be more suitable than time-consuming behavioral experiments. In this context, the present paper investigates two methods based on Head-Related Transfer Functions (HRTFs): a template-matching model and a three-layer neural network. They are optimized to fit human sound source identification performance in open ear condition. The methods are applied to HRTFs measured with six TCAPS, providing identification probabilities. They are compared with the results of a behavioral experiment, conducted with the same protectors, and which ranks the TCAPS by type. The neural network predicts realistic performances with earplugs, but overestimates errors with earmuffs. The template-matching model predicts human performance well, except for two particular TCAPS.

Aerodynamic properties of Wind Turbine Towers based on Wind Tunnel Experiments

The presented investigations aim to suggest more realistic models to predict the dynamic behavior of wind turbine structures. Two key issues are addressed: the aerodynamic damping and the cross-wind vibrations.Based on experimental studies in the boundary layer wind tunnel, aerodynamic information for both effects has been obtained. A scaled model of a wind energy tower (1:150) in combination with complementary models have been tested in a test bench designed to carry out HFFB, dynamic wind pressure and forced-oscillation experiments. Reynolds number based scale effects on the tower model have been studied previously.In the predictions of cross-wind vibrations, the length related correlation of vortices shedding from cylindrical structures plays an important role. Therefore, wind dynamic pressures were measured along static tower and cylinder models using pressure taps to determine realistic values of the vortex shedding correlation length.Motion-induced wind vibrations can be significantly influenced by the aerodynamic damping. Using the forced-oscillations method, experiments have been performed under controlled system oscillation with varying wind speed in prism models and tower model. The measured base model forces were correlated with the model motion using spectral methods to obtain the corresponding aerodynamic stiffness and damping coefficients.Both aerodynamic studies will allow more detailed models for the design of new wind tower structures. The acquired information will be applicable in MB-simulations to obtain more realistic and accurate wind turbine performances

New Formula for Conversion Efficiency of RF EH and Its Wireless Applications

Existing works on energy harvesting (EH) wireless systems often assume constant conversion efficiency for the energy harvester. In practice, conversion efficiency often varies with input power. In this paper, based on a review of existing energy harvesters in the literature, a heuristic expression for the conversion efficiency as a function of the input power is derived by curve fitting. Using this function, two example energy harvesters are used to analyze the realistic performances of wireless relaying and wireless energy transfer. Numerical results show that the realistic performances of the wireless systems could be considerably different from the performances predicted by the existing analysis.

Application of multiple criteria decision making in the selection of digital forensics software

Nowadays there is almost no criminal offense in the investigation of which digital evidence does not play a key role. Constant increase of the capacity of media that store digital data leads to continuous increase of the time necessary to identify and copy (acquire) digital evidence. Selection of appropriate digital forensics software is gaining in importance. Selection of adequate software includes a previous comparative analysis of two or more digital forensics software tools and an optimization process. The objective of the comparative analysis of these software tools is to determine and compare each of their realistic and comparable performances. Optimization aims to determine which of digital forensics software tools has better performances. This paper shows one of possible variants of selecting digital forensics software, using the latest scientific achievements in support of decision making based on the analytic hierarchy process (AHP) method and the Expert Choice computer program.