Performance Analysis Research Articles

Performance analysis of hybrid optimization approach for UAV path planning control using FOPID-TID controller and HAOAROA algorithm

Performance analysis of hybrid optimization approach for UAV path planning control using FOPID-TID controller and HAOAROA algorithm

Towards Recommendations for Cost-Effectiveness Analysis of Predictive, Prognostic, and Serial Biomarker Tests in Oncology.

Cost-effectiveness analysis (CEA) of biomarkers is challenging due to the indirect impact on health outcomes and the lack of sufficient fit-for-purpose data. Hands-on guidance is lacking. We aimed firstly to explore how CEAs in the context of three different types of biomarker applications have addressed these challenges, and secondly to develop recommendations for future CEAs. A scoping review was performed for three biomarker applications: predictive, prognostic, and serial testing, in advanced non-small cell lung cancer, early-stage colorectal cancer, and all-stage colorectal cancer, respectively. Information was extracted on the model assumptions and uncertainty, and the reported outcomes. An in-depth analysis of the literature was performed describing the impact of model assumptions in the included studies. A total of 43 CEAs were included (31 predictive, 6 prognostic, and 6 serial testing). Of these, 40 utilized different sources for test and treatment parameters, and three studies utilized a single source. Test performance was included in 78% of these studies utilizing different sources, but this parameter was differently expressed across biomarker applications. Sensitivity analyses for test performance was only performed in half of these studies. For the linkage of test results to treatments outcomes, a minority of the studies explored the impact of suboptimal adherence to test results, and/or explored potential differences in treatment effects for different biomarker subgroups. Intermediate outcomes were reported by 67% of studies. We identified various approaches for dealing with challenges in CEAs of biomarker tests for three different biomarker applications. Recommendations on assumptions, handling uncertainty, and reported outcomes were drafted to enhance modeling practices for future biomarker cost-effectiveness evaluations.

The Displeasure of Implication in Fix & Foxy’s Dark Noon (2019)

In their award-winning and still touring 2019 performance Dark Noon, the project theatre Fix&Foxy, led by Danish director Tue Biering, creates a theatrical space in which the audience are implicated in the hypercomplex relations between violent colonial oppression and the entertainment industry. What appears through the staging is the indirect complicity of the present White European in the long-distance and long-term atrocities of colonialism. Drawing on, amongst others, Michael Rothberg’s theory of The Implicated Subject, the present performance analysis will describe and discuss this unpleasant dramaturgy of implication in Dark Noon, and more specifically, how it works through a complex play on non/identity between the actors, the spectators, and the characters of the performance.

Energy and environmental performance analysis of solar-assisted heat pump drying system using natural working fluid carbon dioxide

Energy and environmental performance analysis of solar-assisted heat pump drying system using natural working fluid carbon dioxide

Performance Analysis of a D-Shaped Butterfly-Core PCF-SPR Sensor for Dual Polarization Guided by Optimal Au-Ta2O5 Coating

Performance Analysis of a D-Shaped Butterfly-Core PCF-SPR Sensor for Dual Polarization Guided by Optimal Au-Ta2O5 Coating

Enhancing Pose Estimation with Depth Integration: A Comparative Study of ArUco Markers and Depth Data

Pose estimation is a fundamental technique in computer vision, allowing systems to recognize and analyze the positions and movements of objects or individuals in three-dimensional space. Its applications extend to healthcare for physical therapy, sports for performance analysis, and surveillance for behavior monitoring. The development of advanced algorithms and hardware has significantly improved its accuracy and real-time processing capabilities, driving innovation across industries. This study examines the integration of depth data with ArUco marker detection to improve pose estimation precision. By comparing translation vector (tvec) calculations using RGB-only methods and depth-enhanced approaches, this paper demonstrates that depth data provides superior consistency, particularly at extended distances. The results suggest that depth integration could address the limitations of traditional marker systems, improving accuracy and robustness. This work highlights the potential of depth-based enhancements and outlines future directions for comprehensive evaluation and system refinement.

A Comprehensive Financial Performance Analysis of Renewable Energy Sector: A Case Study of Rajasthan Renewable Energy Corporation Limited (2019-2024)

A Comprehensive Financial Performance Analysis of Renewable Energy Sector: A Case Study of Rajasthan Renewable Energy Corporation Limited (2019-2024)

Power performance analysis and survey-based analytical formulation modelling using real-time wind farm monitoring data

Power performance analysis and survey-based analytical formulation modelling using real-time wind farm monitoring data

Breaking through the 'wall of complexity' in a politically themed microworld: a challenge for elected officials and the general public.

Political leaders are often regarded as the most qualified individuals to address modern societal challenges, owing to the knowledge they acquire through their experience in dealing with complex issues, governance and management, and working towards making impactful decisions. To understand the influence of prior knowledge on decision-making, we conducted a comparative analysis of complex decision-making performance in a politically themed computer-simulated microworld involving incumbent elected officials and a general population sample, each contrasted with a random-response baseline produced with randomly generated decisions. Participants were tasked to govern a country for re-election while maintaining financial stability. The pattern of results suggests that decision-making faces a 'wall of complexity' whether one is an elected official or a citizen. Although elected officials generally reported having greater political knowledge, their performance was still relatively poor. The elected officials and general population subgroups performed at the same level and only slightly better than chance. Addressing the societal challenges of our time requires elected officials to possess more than domain-specific prior knowledge.

In Situ Dynamic Characteristic Test and Seismic Performance Analysis of Hybrid Brick‐Concrete and Timber Structure of Historic and Cultural Architectures

In Situ Dynamic Characteristic Test and Seismic Performance Analysis of Hybrid Brick‐Concrete and Timber Structure of Historic and Cultural Architectures

Vanadium-Doped Hafnium Oxide: A High-Endurance Ferroelectric Thin Film with Demonstrated Negative Capacitance.

This study proposes and validates a novel CMOS-compatible ferroelectric thin-film insulator made of vanadium-doped hafnium oxide (V:HfO2) by using an optimized atomic layer deposition (ALD) process. Comparative electrical performance analysis of metal-ferroelectric-metal capacitors with varying V-doping concentrations, along with advanced material characterizations, confirmed the ferroelectric behavior and reliability of V:HfO2. With remnant polarization (Pr) values up to 20 μC/cm2, a coercive field (Ec) of 1.5 MV/cm, excellent endurance (>1011 cycles without failure, extrapolated to 1012 cycles), projected 10-year nonvolatile retention (>100 days measured), and large grain sizes of ∼180 nm, V:HfO2 emerges as a promising robust candidate for nonvolatile memory and neuromorphic applications. Importantly, negative capacitance (NC) effects were observed and analyzed in V:HfO2 through pulsed measurements, demonstrating its potential for NC applications. Finally, this novel ferroelectric shows potential as a gating insulator for future 3-terminal vanadium dioxide Mott-insulator devices and sensors, achieved through an all-ALD process.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications

Advancements in embedded systems and Artificial Intelligence (AI) have enhanced the capabilities of Unmanned Aircraft Vehicles (UAVs) in computer vision. However, the integration of AI techniques o-nboard drones is constrained by their processing capabilities. In this sense, this study evaluates the deployment of object detection models (YOLOv8n and YOLOv8s) on both resource-constrained edge devices and cloud environments. The objective is to carry out a comparative performance analysis using a representative real-time UAV image processing pipeline. Specifically, the NVIDIA Jetson Orin Nano, Orin NX, and Raspberry Pi 5 (RPI5) devices have been tested to measure their detection accuracy, inference speed, and energy consumption, and the effects of post-training quantization (PTQ). The results show that YOLOv8n surpasses YOLOv8s in its inference speed, achieving 52 FPS on the Jetson Orin NX and 65 fps with INT8 quantization. Conversely, the RPI5 failed to satisfy the real-time processing needs in spite of its suitability for low-energy consumption applications. An analysis of both the cloud-based and edge-based end-to-end processing times showed that increased communication latencies hindered real-time applications, revealing trade-offs between edge (low latency) and cloud processing (quick processing). Overall, these findings contribute to providing recommendations and optimization strategies for the deployment of AI models on UAVs.

Mapping analysis of sixty-seven years of scientific evolution about the transgender population

Gender, traditionally treated in a dichotomous manner as male and female, does not encompass non-binary gender identities. One of the terms used to refer to a non-binary gender identity is transgender, which is employed in this study to investigate its strategic themes and thematic evolution. To achieve this, a bibliometric performance and network analysis (BPNA) was carried out using the existing data from the Web of Science database between 1954 and March 2021. A total of 23,471 articles were identified and included in the SciMAT software to conduct a bibliometric analysis, resulting in the visualization of the graph depicting the thematic evolution structure and the strategic diagram. This analysis highlights eight motor themes and a significant cross-cutting theme, which are discussed in depth. The results demonstrate the relationship between the transgender theme and gender, identity, sexual orientation, hormone therapy, and gender-affirming surgery. It is concluded that, despite the large number of associated research, some areas of study are still in their early stages, such as the inclusion of transgender people in the formal labor market and in the prison context. This opens up the field for further studies.

Tractor Power Take-Off and Drawbar Pull Performance and Efficiency Evolution Analysis Methodology and Model: A Case Study

Previous studies on tractor performance and efficiency were conducted prior to the implementation of emission reduction technologies and the increased density and complexity of tractor portfolios. This study presents a robust methodology for forecasting specific fuel consumption based on public information, which incorporates physical attribute-based cohorts and technological generation groupings, alongside variables such as wheelbase, mass, and power take-off power. The proposed model significantly improves forecasting accuracy, enhancing the current R-squared (RSq) from 0.6091 to 0.8519 and reducing the root mean square error (RMSE) from 0.0098 to 0.0065. Additionally, the model provides accurate predictions of drawbar performance and efficiency. Its simplicity results in low cognitive and computational demands, making it accessible via widely available spreadsheet software on any computer or handheld device. This accessibility supports data-driven decision-making for tractor replacement strategies, ultimately promoting sustainable profitability in agricultural business operations.

Magnetohydrodynamic hybrid nanofluid flow with Cattaneo–Christov heat flux: thermal performance and entropy analysis

Magnetohydrodynamic hybrid nanofluid flow with Cattaneo–Christov heat flux: thermal performance and entropy analysis

IMPACT OF ZN-DOPPED ON SNEDDS/ZNXFE3-XO4 FORMULATION ON THEIR CRYSTAL STRUCTURE AND ANTIOXIDANT PERFORMANCE

Self-Nano-Emulsifying Drug Delivery System (SNEDDS)/ZnxFe3-xO4 has been successfully formulated through the synthesis of ZnxFe3-xO4 by the coprecipitation method and SNEDDS/ZnxFe3-xO4 by the sonication method. This study is focused on the effect of Zn doping on the crystal structure and antioxidant performance of ZnxFe3-xO4 nanoparticles. ZnxFe3-xO4 samples were characterized using FTIR and XRD to determine the functional groups and structure of the sample, respectively. SNEDDS/ZnxFe3-xO4 samples were characterized using FTIR and Antioxidants with the DPPH method to determine the functional groups and antioxidants in the sample, respectively. The FTIR characterization results of the ZnxFe3-xO4 sample showed the emergence of Zn-O and Fe-O functional groups in the wave number range of 825-869 cm-1 and 560-594 cm-1, respectively. This indicates that Zn2+ doping was successfully synthesized and shifted the Fe3+ ion. The IR spectrum also shows that the higher the concentration of Zn2+ ions, the more significant the change in absorption intensity, indicating that more molecules absorb light at wave numbers of 825-869 cm-1. The XRD characterization results show that the ZnxFe3-xO4 nanoparticle structure is an inverse cubic spinel occupying the Fd3m crystal group. Based on the analysis of XRD data, the higher the concentration of Zn2+ doping, the smaller the size of the ZnxFe3-xO4 nanoparticles produced. The diffraction peak of the sample on the 311 plane shifts towards a smaller angle due to the effectiveness of Zn2+ ion doping, shifting the Fe3+ ion because the radius of the Zn2+ ion is larger than the Fe3+ one. The antioxidant performance analysis of SNEDDS/ZnxFe3-xO4 showed inhibition potential ranging from 11% to 15%, increasing with higher Zn²⁺ concentrations.

A critical review of brand image and buying intentions: visualization and bibliometric analysis approach

PurposeThis study aims to explore the relationship between brand image and buying intentions, which is crucial in understanding consumer buying behaviour. This study aims to review the literature, identify research trends and further suggests research directions for future study.Design/methodology/approachA bibliometric analysis was conducted on 402 research articles extracted from the Scopus database, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. The study includes performance analysis, science mapping and network visualization, with VOSviewer and Biblioshiny software for the analysis. It examines publication trends, prolific countries, institutions, authors, highly cited papers, keyword co-occurrence and thematic evolution for a comprehensive analysis.FindingsThe study reveals the increasing scholarly interest of researchers in brand image and purchase intention over time and identified various research themes. Results state that Brand image and purchase intention themes remained central throughout both time zones (1995–2012 and 2013–2024). Emerging themes of the field include green marketing, corporate social responsibility, influencer marketing and entrepreneurial marketing.Originality/valueThis research study makes an addition to the body of literature by identifying the research hotspots and areas that need further investigation. Further, the thematic evolution of the brand image and purchase intentions illustrates how perception at various consumer levels and decision-making process has shifted over time in response to changing market dynamics. This study is of quite paramount importance for a vast group of stakeholders including researchers, businesses, brand managers, policy makers, marketing professionals and future research scholars.

Performance Analysis of a Wireless Power Transfer System Employing the Joint MHN-IRS Technology

The present study is concerned with the power transfer efficiency enhancement using a combination of the multi-hop node (MHN) and the Intelligent Reflecting Surface (IRS)-based passive beamforming technologies. The primary objective is to ensure a high RF-DC converter power conversion efficiency (PCE) used at the receiving end, which is difficult to achieve due to path loss and multi-path propagation. An electronically tunable reconfigurable reflectarray (RRA) designed to operate at the sub-GHz ISM band (865.5 MHz) is utilized to implement the IRS concept. Both the MHN and RRA were developed and studied in our earlier research. The RRA redirects the reflected power-carrying wave amplified by the MHN toward the intended receiver. It comprises two layers: the RF layer containing tunable phase shifters and the ground plane. Each phase shifter comprises two identical eight-shaped metal patches coupled by a pair of varactor diodes used to achieve the reflection phase tuning. The phase gradient method is used to synthesize the RRA phase profiles, ensuring different desired reflection angles. The RRA prototype, composed of 36 phase shifters, is employed in conjunction with the MHN equipped with two antennas and an amplifier. The RRA parameter optimization is accomplished by randomly varying the varactor diode voltages and measuring the corresponding received power levels until the power reflected in the desired direction is maximized. Two measurement scenarios are examined: power transmission without and with the MHN. In the first scenario, the received power is calculated and measured at several distinct beam steering angles for different distances between the Tx antenna and RRA. The same procedure is applied to different distances between the RRA and MHN in the second scenario. The effect of slight deviations in the operating frequency from the designed one (865.5 MHz) on the RRA performance is also examined. Additionally, the received power levels for both scenarios are estimated via full-wave analysis performed using the full-wave simulation software Ansys HFSS 2023 R1. A Huygens’ surface equivalence principle-based model decomposition method was developed and employed to reduce the CPU time. The calculated results are consistent with the measured ones. However, some discrepancies attributed to the adverse effect of RRA diode biasing lines, manufacturing tolerances, and imperfection of the indoor environment model are observed.

Practice Briefing: The inception and preliminary performance analysis of REITs in the Kingdom of Saudi Arabia

PurposeThe Saudi REIT market’s introduction in 2016 was part of the Kingdom of Saudi Arabia’s Vision 2030 master plan to diversify the country's sources of revenue and reform its financial sector. Despite the Saudi REIT market’s nascent state, it has experienced significant growth in a short period of time, being the largest REIT market in MENA. Saudi REITs are designed using well-established global REIT standards to facilitate efficient capital influx into commercial property investment opportunities in Saudi Arabia. The core aim of this paper is to highlight the development of Saudi REITs and empirically assess their performance over the period from December 2018 to December 2023.Design/methodology/approachUsing monthly total returns in local currency (SAR), the risk-adjusted performance and portfolio diversification attributes of Saudi REITs are assessed. A series of optimal portfolios are constructed to identify the potential added-value role of Saudi REITs in a multi-asset framework.FindingsWhilst Saudi REITs’ average annual return performance is lower than that of stocks, their annual returns are delivered with less volatility, thus giving a competitive overall risk-adjusted performance against other asset classes. This is a testament to Saudi REITs’ higher income return performance due to the fiscal-efficient framework. Further, when Saudi REITs are introduced in a stocks-bonds portfolio, they are able to improve the portfolio’s overall return whilst reducing the volatility, with their allocation in the asset mix observed to effectively scale throughout the portfolio risk-return spectrum.Practical implicationsSaudi REITs are an emerging investment opportunity for investors seeking exposure in a relatively stable and fast-growing MENA property market. As Saudi Arabia makes continuous reforms to improve the accessibility and transparency of its commercial property market, Saudi REITs are the most effective way to date for domestic and overseas investors to obtain exposure to the Kingdom’s property investment opportunities. Importantly, the encouraging preliminary results as identified in this paper provide valuable insight into the potential trajectory of Saudi REITs, given their significant contributing role to achieve the strategic objectives of Vision 2030.Originality/valueThis paper is the first empirical investigation that provides a preliminary performance validation of Saudi REITs as a listed pathway to commercial property exposure in Saudi Arabia. This study provides empirical evidence that enables more informed and practical decision-making in property investment, particularly in understanding the strategic importance of Saudi REITs within an investment portfolio.

A Novel Ensemble Model BharatAuthenticNet for Detecting Fake News: Experimentation and Performance Analysis

A Novel Ensemble Model BharatAuthenticNet for Detecting Fake News: Experimentation and Performance Analysis