Performance Evaluation Of Strategies Research Articles

Performance evaluation and energy management strategy of drone methanol reforming fuel cell hybrid power system: A case study

The performance of hydrogen production by methanol steam reforming and high temperature proton exchange membrane fuel cells on drone lacks the comparison of experimental data, resulting in the overall performance improvement of the system is difficult to evaluate. Therefore, the energy management strategy of methanol reforming high temperature proton exchange membrane fuel cell hybrid power system and state machine is designed and optimized. The performance of this system is analyzed and compared with the flight experiment data of a proton exchange membrane fuel cell hybrid UAV. The results show that the SOC of the system can be stabilized between 70 and 80 during the long cruise phase. The test results show that the maximum hydrogen storage mass density of the hydrogen supply system is increased by 67.6%. The flight time of the system under economic cruise flight of the drone is improved by 29.1%–44.9% with different quality of fuel. Under the maximum flight speed of a certain wind speed, the system can meet the flight requirements and increase the flight time by 31.9% and 17.6% respectively under the wind speed of 1.5 m/s and 4 m/s. Its flight time has been greatly improved, and it has great potential as a drone system.

Comprehensive Review and Assessment of Computational Methods for Prediction of N6-Methyladenosine Sites.

N6-methyladenosine (m6A) plays a crucial regulatory role in the control of cellular functions and gene expression. Recent advances in sequencing techniques for transcriptome-wide m6A mapping have accelerated the accumulation of m6A site information at a single-nucleotide level, providing more high-confidence training data to develop computational approaches for m6A site prediction. However, it is still a major challenge to precisely predict m6A sites using in silico approaches. To advance the computational support for m6A site identification, here, we curated 13 up-to-date benchmark datasets from nine different species (i.e., H. sapiens, M. musculus, Rat, S. cerevisiae, Zebrafish, A. thaliana, Pig, Rhesus, and Chimpanzee). This will assist the research community in conducting an unbiased evaluation of alternative approaches and support future research on m6A modification. We revisited 52 computational approaches published since 2015 for m6A site identification, including 30 traditional machine learning-based, 14 deep learning-based, and 8 ensemble learning-based methods. We comprehensively reviewed these computational approaches in terms of their training datasets, calculated features, computational methodologies, performance evaluation strategy, and webserver/software usability. Using these benchmark datasets, we benchmarked nine predictors with available online websites or stand-alone software and assessed their prediction performance. We found that deep learning and traditional machine learning approaches generally outperformed scoring function-based approaches. In summary, the curated benchmark dataset repository and the systematic assessment in this study serve to inform the design and implementation of state-of-the-art computational approaches for m6A identification and facilitate more rigorous comparisons of new methods in the future.

Advanced multi-image segmentation-based machine learning modeling strategy for corrosion prediction and rust layer performance evaluation of weathering steel

Corrosion images are the most accessible type of data to collect. To utilize these data to monitor and evaluate the corrosion of weathering steel (WS) efficiently. This study established a dataset of corrosion images of WS by accelerated corrosion experiments with dry and wet cycles. Image segmentation algorithms and machine learning were used for training, modeling, and data mining of the image data. The results showed that 22 features in the corrosion images were highly correlated with the corrosion thickness loss, with the highest correlation coefficient exceeding 0.7. The rust layer texture and color features showed a synergistic evolution during the corrosion process. On this basis, a classification model of the rust layer was developed to quantify the evolution of the protective properties of the rust layer during the corrosion process. In addition, the established integrated learning model achieves accurate prediction (R2 > 0.94) for WS corrosion thickness loss.

Developing a tile drainage module for the Cold Regions Hydrological Model: lessons from a farm in southern Ontario, Canada

Abstract. Systematic tile drainage is used extensively in poorly drained agricultural lands to remove excess water and improve crop growth; however, tiles can also transfer nutrients from farmlands to downstream surface water bodies, leading to water quality problems. Thus, there is a need to simulate the hydrological behaviour of tile drains to understand the impacts of climate or land management change on agricultural surface and subsurface runoff. The Cold Regions Hydrological Model (CRHM) is a physically based, modular modelling system developed for cold regions. Here, a tile drainage module is developed for CRHM. A multi-variable, multi-criteria model performance evaluation strategy was deployed to examine the ability of the module to capture tile discharge under both winter and summer conditions (NSE > 0.29, RSR < 0.84 and PBias < 20 for tile flow and saturated storage simulations). Initial model simulations run at a 15 min interval did not satisfactorily represent tile discharge; however, model simulations improved when the time step was lengthened to hourly but also with the explicit representation of capillary rise for moisture interactions between the rooting zone and groundwater, demonstrating the significance of capillary rise above the saturated storage layer in the hydrology of tile drains in loam soils. Novel aspects of this module include the sub-daily time step, which is shorter than most existing models, and the use of field capacity and its corresponding pressure head to provide estimates of drainable water and the thickness of the capillary fringe, rather than using detailed soil retention curves that may not always be available. An additional novel aspect is the demonstration that flows in some tile drain systems can be better represented and simulated when related to shallow saturated storage dynamics.

Novel separate aeration self-circulating technology for continuous aerobic granular sludge process: Performance evaluation, hydrodynamic simulation and control strategy

The continuous aerobic granular sludge (AGS) process is promising for upgrading existing wastewater treatment facilities. However, this approach is still challenging because of its complicated structure and operation. To address this issue, a novel separate aeration self-circulating technology (abbreviated as Zier) was proposed, which is promising for cultivating AGS by its outstanding upflow velocity and circulation multiplier (more than 30 m/h and 200, respectively). This study elaborated on the Zier reactor's feasibility, optimization, and control strategy through computational fluid dynamics simulations, theoretical calculations, and experiments. An appropriate flow regime for efficient removal of pollutant and granulation of sludge was attained at a superficial gas velocity of 1.3 cm/s. Moreover, optimizing the aeration column diameter to half of the reaction column and increasing the height/diameter ratio to 20 dramatically boosted the nitrogen removal capacity over 1.6 kg N/m3/d. Utilizing a smaller circulation pipe diameter ensured granulation under a consistent flow regime. By judiciously regulating, multiple CSTRs and PFRs seamlessly integrated within the Zier reactor across a broad spectrum of particle sludge. The validity of these findings was further substantiated through experimental and theoretical validations. Drawing from these findings, a multi-scenario control strategy was proposed as Zier's map. With all the superiorities shown by the Zier reactor, this study could offer new insights into an efficient continuous AGS process.

The organic waste management supply chain performance evaluation strategy uses an Interpretive Structural Modeling approach

National Waste Management Information System shows that the amount of waste handled in Semarang City over the last three years has decreased with an average decline index of 1.06% per year. This is reinforced by the results of interviews with the Semarang City Environmental Service, that the handling of organic waste is still very limited because so far the handling has been more focused on an-organic waste. Therefore, it is necessary to evaluate supply chain performance to determine the constraints in organic waste management from upstream to downstream. Based on the research results using the Interpretive Structural Modeling (ISM) method through a focus group discussion process involving eight experts in the field of waste management, it is known that the supply chain performance for handling organic waste in Semarang City has 11 elements of constraints, which are divided into seven priority levels. The element with the highest priority is related to the availability of organic waste supplies, while the element with the lowest priority is technological innovation and the application of appropriate technology. Improving the performance of organic waste management supply chains should focus on elements according to priority.

Digital technologies in personnel management

This paper examines the pivotal role of digital technologies in the transformation of personnel management within contemporary enterprises. As businesses increasingly emphasize efficiency, adaptability, and innovation, digitalization in human resources (HR) management is becoming indispensable. The integration of cutting-edge technologies such as Artificial Intelligence (AI), Big Data, Machine Learning (ML), the Internet of Things (IoT), and 5G within HR processes stands at the forefront of this transformation, enhancing productivity and fostering sustainable organizational development. The study focuses on several critical aspects of HR digital transformation including recruitment, employee development, performance evaluation, and engagement strategies. It systematically examines the impact of digital technologies on these HR functions and assesses how they contribute to creating a more effective work environment. The research underscores the potential of digital tools to not only streamline HR processes but also to enhance employee satisfaction and organizational efficiency. Empirical evidence from leading companies that have successfully integrated digital HR solutions suggests significant cost reductions and improved operational efficiency. The paper analyzes these cases to identify the benefits and challenges associated with HR digitalization. It further discusses the implications of these technologies on corporate culture and the overall workforce management. Ultimately, this article provides a comprehensive overview of the challenges and opportunities presented by HR digitalization. It offers insights into effective strategies for implementing digital transformations in HR processes, based on practical examples from industry leaders. The findings aim to assist organizations in making informed decisions about optimizing their HR operations through digital technologies, thereby enhancing their overall effectiveness and adaptability in the digital era.

Impact and Dynamics of Stakeholders in Indonesia through the Public Service Evaluation Revolution

This qualitative descriptive study investigates the implementation of PermenPAN RB No. 6 of 2022 on civil service performance assessment at BKD Sidoarjo, Indonesia. Using interviews, observation, and documentation, the research explores how the policy provides subjective assessments, tracks employee work for personal and organizational evaluation, and involves stakeholders in the assessment process. Findings indicate that the policy aligns with stakeholder expectations, facilitates dialogue between employees and superiors, and employs various strategies for performance evaluation. This study contributes to understanding policy implementation dynamics in public administration, emphasizing the importance of aligning policy objectives with practical strategies to improve employee competency and organizational effectiveness in the public sector. Highlights: Examines PermenPAN RB No. 6's implementation, effectiveness in civil service assessment. Emphasizes stakeholder involvement, vital for policy alignment and organizational goals. Highlights need for practical strategies, enhancing employee competency in public administration. Keywords: Policy Implementation, Civil Service Performance Assessment, Stakeholder Involvement, Public Administration, Organizational Effectiveness

Mitigating against relative age effects in youth Track & Field: Validating corrective adjustment procedures across multiple events

ObjectivesWith the aim to better identify talented Track & Field performance development, this study estimated the relationships between chronological (decimal) age with 60-m sprint, high jump, triple jump, and pole vault performance. Then, to mitigate against expected Relative Age Effects (RAEs), Corrective Adjustment Procedures (CAPs) were applied to an independent sample. DesignMixed-longitudinal design examining public data between 2005 and 2019. MethodsThe performances of 5339 Italian sprinters and jumpers (53.1 %) spanning 11.01–17.99 years of age were examined, with trendlines between chronological age and performance established. Related to an independent sample (N = 40,306; female 45.5 %), trendlines were then utilised to apply CAPs and adjust individual performance. Considering raw and adjusted performance data, RAE distributions were examined for the top 25 % and 10 % performers. ResultsFor all male and female events, quadratic models best summarised the relationships between chronological age and performance (R2 = 0.74–0.89). When examining independent athletes in similar event, RAEs were more pronounced in males (Cramer's V = 0.35–0.14) than females (Cramer's V = 0.29–0.07). For both sexes, RAE magnitude decreased with age and increased according to performance level (i.e., Top25%–Top10%). However, following CAP applications, RAEs were reduced or removed within annual age groups and performance levels. ConclusionsWith RAEs prevalent across Italian youth Track & Field events, findings validate CAPs as a strategy to account for the influence of relative age differences on athletic performance. CAPs help establish a more equitable strategy for performance evaluation and could help improve the efficacy of long-term athlete development programming.

An Analytical Method for Timely Predicting of Coal Seam Pressure during Gas Production for Undersaturated Coalbed Methane Reservoirs

Coal seam pressure is an important parameter for production performance evaluation and prediction of coalbed methane (CBM). CBM production from undersaturated CBM reservoirs can be divided into two stages according to critical desorption pressure. At present, few prediction models of coal seam pressure performance consider the comprehensive influence of critical desorption pressure, dissolved gas, matrix shrinkage, and stress sensitivity. For the purpose of accurately predicting coal seam pressure during gas production for an undersaturated coalbed methane reservoir, the material balance principle is used to establish the analytical method for predicting coal seam pressure, considering the comprehensive influence of the critical desorption pressure, dissolved gas, matrix shrinkage, and stress sensitivity. Then, the proposed method is verified against a numerical simulation case using a computer modelling group (CMG) and two actual coalbed methane wells. Finally, the sensitivities of influencing factors on the coal seam pressure are analyzed. The results show that good agreements were obtained between the calculated coal seam pressures using the proposed method and those from the CMG-GEM simulation case and actual CBM wells, with the relative errors all being less than 1%. When ignoring the influence of critical desorption pressure and mistaking pd for pi as well as ignoring Cs, the relative error can reach as high as 31.3%. The main factors affecting the coal seam pressure are the critical desorption pressure and free gas saturation. The proposed method is simple to use, and without shutting-in the well, it can provide an important basis for production performance evaluation and development strategies.

Business Management Goal Setting and Performance Appraisal Strategies of Development

The purpose of this paper is to explore the issue of management optimization in construction engineering cost consulting enterprises, and to provide scientific and reasonable management methods and strategies for enterprises to improve their management level and overall competitiveness by studying and analyzing the formulation of goal setting and performance evaluation strategies. This paper adopts the method of combining literature review and case analysis to conduct research. Firstly, through reviewing relevant literature, we understand the relevant theories and practical experience of goal setting and performance evaluation; then, combined with the actual situation of engineering cost consulting enterprises, we conduct an in-depth analysis and research on the goal setting and performance evaluation strategy of enterprises; finally, through the method of case study, we conduct an empirical research on the management optimization of enterprises, and verify the effectiveness and feasibility. The findings of this paper include the following: 1. Key elements of goal-setting and core indicators of performance assessment for engineering cost consulting firms were summarized; 2. Based on the results of the questionnaire survey and the case study, a performance appraisal strategy for different positions and levels is proposed; 3. Based on the results of the empirical study, the effectiveness and feasibility of the goal-setting and performance assessment strategies were verified. Through researching and analyzing the management optimization problems of construction engineering cost consulting enterprises.

Performance Evaluation Strategies and Teachers’ Productivity in Public Secondary Schools in Rivers State

This study investigated the performance evaluation strategies and teachers’ productivity in public senior secondary schools in Rivers State. Four research questions and hypotheses guided the study. The correlational design was adopted by the study. The population of the study is 1,714 respondents in 95 public senior secondary schools in Rivers West Senatorial district in Rivers State. The sample size of the study comprises 514 respondents in Rivers West Senatorial District in Rivers State. A simple random sampling approach and proportional sampling technique is used. Two sets are used for data collection. They are Performance Evaluation Strategies Questionnaire (PESQ) and Teacher’s Productivity Questionnaire (TPQ) for data collection. The reliability of the instruments (PESQ and TPQ) were determined by using Cronbach Alpha method. The research questions were answered using Pearson Product Moment Correlation Coefficient (PPMC) to answer the research questions while the hypotheses were tested using Multiple Regression. The findings of the study showed that the Performance Evaluation Strategies, such as complying to quality assurance, adherence to output specification, knowledge of the job, creative initiative had positive relationship with teachers productivity in public senior secondary schools in Rivers State. It was also found that there was significant difference between complying to quality assurance, adherence to output specification, and knowledge of the job, as creative initiative had a positive relationship with teachers productivity in public senior secondary schools in Rivers State. It was recommended among others that the government should provide a legal framework that coordinates and harmonizes the best performance evaluation strategy to ensure standards and uniformity.

Low-cost architecture performance evaluation strategy based on pixel difference degree contrast measurement

The time and effort required to manually design deep neural architectures is extremely high, which has led to the development of neural architecture search technology as an automatic architecture design method. However, the neural architecture search convergence process is slow and expensive, and the process requires training a large number of candidate architectures to get the final result. If the final accuracy of an architecture can be predicted from its initial state, this problem can be greatly alleviated. Therefore, this paper proposes a low-cost architecture performance evaluation strategy based on pixel difference degree contrast measurement, which takes 1) the difference matrix value between the feature map generated in the untrained architecture and the original image, and 2) the predicted accuracy of the neural network as evaluation indices. A new multi-index weight comprehensive measurement strategy was introduced to comprehensively score the multi-index, the real architecture performance can be approximately represented by score, which greatly reduces the cost of architecture evaluation. The experimental show that the proposed scoring strategy is highly correlated with real architecture accuracy. In the practical engineering application research, this strategy can search a high-performance architecture with an accuracy of 96.2% within 343.3 s, which proves that the proposed strategy can significantly improve the search efficiency in practical applications, reduce the subjectivity of artificial architecture design, and promote the application of practical time-consuming projects.

Response Characteristics of Irregular Continuous Rigid Frame Bridges with Long-Span and High-Rise Piers under Ground Motion Excitations with Different Fault Distances

An innovative seismic performance evaluation strategy for irregular rigid frame bridges with a long-span and high-rise piers under the action of ground motions with different fault distances is presented in this paper. A total of 129 mainshock records taken during the Wenchuan earthquake, from national seismic stations with different fault distances, were analyzed using statistical methods, to determine the attenuation characteristics of the intensity index of the Wenchuan earthquake records from the perspective of aseismic engineering, and the attenuation of the acceleration response spectrum is discussed. The Miaoziping Bridge on the Dujiangyan–Wenchuan Expressway, which was damaged in the Wenchuan earthquake, is taken as the analysis background; two sets of samples for long-span continuous rigid frame bridges with different pier heights are constructed, to discuss the seismic response characteristics of continuous long-span rigid frame bridges; and representative values for the natural periods of these two bridge structural groups are subsequently compared and analyzed. After the peak responses for various bridges with various pier heights are determined through a response spectrum analysis under the action of ground motions with different fault distances, and the surfaces for the obtained peak responses are fitted and the response characteristics for different fault distances are discussed. It is shown in the results that the seismic response characteristics of the continuous rigid frame bridges with long-span and high-rise piers were significantly different under the action of the ground motions with different fault distances, and the seismic responses of these two bridge groups were distinctly larger under the action of near-fault ground motions. Furthermore, based on the above research, suggestions for the pier arrangement and bridge site selection for continuous rigid frame bridges with long-span and high-rise piers are also discussed. The results of this paper also provide some theoretical guidance for the sustainable development of bridges with long-span and high-rise piers, from the perspective of bridge seismic response characteristics.

Performance Evaluation and Tuning Strategies for High Availability Messaging Infrastructures: A Case Study with Zookeeper and Kafka

Performance Evaluation and Tuning Strategies for High Availability Messaging Infrastructures: A Case Study with Zookeeper and Kafka

Identifying Dimensions and Components of Functional Performance Evaluation in Effective Schools with a Grounded Theory Approach

Objective: The purpose of this research is to identify the dimensions and components of functional performance evaluation in effective schools using a grounded theory approach. Methodology: This qualitative study utilized the snowball sampling method to gather opinions from 15 experts and specialists in the field of education in Tehran, as well as university professors. Findings: The research results indicated that six central factors, ten main categories, and thirty-eight subcategories play a significant role in the performance evaluation model of effective elementary schools in Tehran. Additionally, the research's paradigmatic model consists of causal factors, including physical and technological factors, environmental health assurance, and individual health assurance for students; the central phenomenon includes active participants and the teaching-learning process; contextual conditions include components and elements of performance evaluation; intervening conditions include the principles and values of effective schools and educational organizations and policymakers; effective strategies for performance evaluation in effective schools include preparation for evaluation implementation; and the outcomes of performance evaluation in effective schools include achieving scientific and practical accomplishments. Conclusion: Overall, this research has identified and analyzed these dimensions and components, providing a comprehensive model for evaluating the performance of effective schools in Tehran, which can help improve educational quality in this city.

Seismic Performance Evaluation and Retrofit Strategy of Overhead Gas-Insulated Transmission Lines

The overhead gas-insulated transmission line (GIL) in ultra-high-voltage converter stations, distinct from traditional buried pipelines, demands a thorough investigation into its seismic behavior due to limitations in existing codes. A refined finite element model is established, considering internal structure, slip between various parts, and the relative displacement at the internal conductor joint. Seismic analysis reveals the vulnerability of the GIL at the corner of the pipeline height change, with two failure modes: housing strength failure and internal conductor displacement exceeding the limit. Furthermore, the acceleration amplification coefficient of the support generally exceeds 2.0. Two retrofit methods, namely increasing the fundamental frequency of all supports and fixing the connections between all supports and the housing, have been proposed. The results indicate the effectiveness of both methods in reducing the relative displacement. Fixing all the supports effectively reduces the stress, whereas the other one yields the opposite effect. The seismic performance of a GIL is determined not by the dynamic amplification of supports, but by the control of relative displacement between critical sections, specifically influenced by the angular deformation of the pipeline’s first-order translational vibration mode along the line direction. Seismic vulnerability analysis reveals a reduction of over 50% in the failure probability of the GIL after the retrofit compared to before the retrofit, with the PGA exceeding 0.4 g.

Large constellations for fast acquisition and delivery of information: Design and analysis by stereographic projection onto the equatorial plane

SummaryRecent space projects are designed by satellite constellations with a large number of spacecraft, a global character (i.e., from equatorial to high inclination orbits), and the possibility to transfer information to different satellites of the constellation (inter satellite link) in order to deliver the information to the ground as soon as possible. To cope with a large number of parameters, a fast tool for constellation design, performance evaluation and networking strategies is needed. The aim of this paper is to obtain the performance of any constellation in less than 1 s, even when the number of satellites in the constellation and the duration of the analysis is large (e.g., more than 200 satellites in a period of some days). The proposed algorithm is based on analytical formulae obtained by using the stereographic projection on the equatorial plane of the satellite orbits and the projection of the target and ground station orbits. It is believed that the two‐dimensional projection proposed here can offer some advantages with respect to the spatial analysis of satellite orbits and their ground tracks, such as the reduction in time required to calculate station/satellite and satellite/satellite encounter conditions, and the clear and simple representation of the motion of the satellite of the constellation and of the ground stations of interest.

A new data mining strategy for performance evaluation of a shared energy recovery system integrated with data centres and district heating networks

This study presents a new data mining strategy to discover the performance and operational patterns of a shared energy recovery (SER) system with a data centre and a district heating network. Multidimensional clustering incorporated with a composite performance metric was first used to evaluate the typical performance of the system and reveal the interactions among different performance indicators. Decision tree analysis was then used to identify distinct system performances under different external conditions. Temporal clustering analysis was lastly used to identify the impact of recovered waste heat on the variations in heat supply from the district heating substation. The strategy was evaluated through a case study SER system at a university campus located in Norway. It was found that the most frequent performance accounted for 34 % of the total operational period with the instantaneous waste heat recovery rate of 572.9 kW, the temperature of waste heat of 57.2 °C, and the coefficient of performance of the heat pumps of 2.0. The outdoor air temperature and supply water temperature from the main district heating substation to the campus buildings showed a significant impact on the SER system performance. Moreover, the results showed that the SER system can help reduce the energy use of the district heating networks while increasing the fluctuations of heat supply from the main district heating substation.

B-124 Applicability of measurement uncertainty in the validity of results in the clinical laboratory

Abstract Background The results of the clinical laboratory must comply with attributes of precision, veracity, and accuracy to guarantee the validity of the result; since the assurance of analytical quality, different performance evaluation strategies have been applied with the use of tools such as total permissible error (ETa) and sigma metric. However, based on the requirements to qualify for the accreditation process by standards such as ISO 15189 and ISO 17025, the concept of the “measurement uncertainty” of the measured magnitude values was introduced, giving special relevance in the interpretation of the values obtained, therefore it is important to consider its estimation and evaluation as a tool that contributes to patient safety in the interpretation of clinical decision limits. Methods Uncertainty estimation was performed for forty-one measurands that were previously selected considering the variables of clinical risk and processing volume. The estimation of uncertainty, ETa and sigma metric were made with the RANDOX Acusera software 24/7 online from the information obtained from the internal quality control data and the scheme of the external quality evaluation. The uncertainty obtained was compared against four criteria of acceptability of uncertainty. Results After comparing the uncertainty obtained against the four criteria of acceptability of uncertainty, it was found that the most demanding criterion is that derived from the reference biological interval. The implementation of this criterion would allow objective comparability of performance between laboratories. Conclusions: The estimation of uncertainty as an indicator of the validity of the results provides relevant information in the interpretation of the results that are within the limits of clinical decision, while the ET and sigma metric contribute to the monitoring and control of the performance of the analysis or measurement procedure. Conclusion We observed that the efforts of the laboratory for minimizing the variation sources that can affect the analytical accuracy have been prolific. Total Error quantification, Sigma 6 and MU have a correlation, favorably impacting the tests performance. Aiming to guarantee a constant improvement of the results’ quality, the Total Error and MU goals must be periodically revised, ensuring their utility throughout time.