Performance Evaluation Of System Research Articles

Comparative Power Quality Performance Evaluation of Grid-Connected Solar PV System

Comparative Power Quality Performance Evaluation of Grid-Connected Solar PV System

Comparator Data Characteristics and Testing Procedures for the Clinical Performance Evaluation of Continuous Glucose Monitoring Systems.

Comparing the performance of different continuous glucose monitoring (CGM) systems is challenging due to the lack of comprehensive guidelines for clinical study design. In particular, the absence of concise requirements for the distribution of comparator (reference) blood glucose (BG) concentrations and their rate of change (RoC) that are used to evaluate CGM performance, impairs comparability. For this article, several experts in the field of CGM performance testing have collaborated to propose characteristics of the distribution of comparator measurements that should be collected during CGM performance testing. Specifically, it is proposed that at least 7.5% of comparator BG concentrations are <70 mg/dL (3.9 mmol/L) and >300 mg/dL (16.7 mmol/L), respectively, and that at least 7.5% of BG-RoC combinations indicate fast BG changes with impending hypo- or hyperglycemia, respectively. These proposed characteristics of the comparator data can facilitate the harmonization of testing conditions across different studies and CGM systems and ensure that the most relevant scenarios representing real-life situations are established during performance testing. In addition, a study protocol and testing procedure for the manipulation of glucose levels are suggested that enable the collection of comparator data with these characteristics. This work is an important step toward establishing a future standard for the performance evaluation of CGM systems.

Analisa Pengaruh Penggunaan Teknologi Dalam Manajemen Evaluasi Kinerja

Recent developments in information and communication technology such as artificial intelligence (AI) provide new opportunities to increase the efficiency and accuracy of performance assessment. The impact of the COVID-19 pandemic and the shift to a remote work model has created a need for technology solutions to unify and transmit the performance of employees working from multiple locations. The use of technology in performance management evaluations may raise concerns regarding data security and privacy, inconvenience or resistance to employees or stakeholders. Not all employees or managers have the same level of skill and understanding of the technology being implemented and it requires a high initial investment in maintenance and upgrades. This article provides an understanding of how technology can be applied in management performance evaluation and its benefits in increasing efficiency, objectivity and accuracy in employee assessment as well as providing recommendations for innovation and changes in the use of technology in management performance evaluation. The methodology used is a qualitative method by collecting data from various information sources. Some of the positive impacts of implementing technology in performance evaluation management are increased efficiency and productivity, real-time feedback, increased objectivity and fairness, more accurate and measurable performance monitoring. The technologies that can be used are Go Talent, Feedback and Recognition Systems, Analytics Technology, Application-Based Performance Evaluation Systems, Use of AI for Objective Evaluation and Chabots for Feedback.

Performance evaluation system of key energy-saving technologies in public institutions based on heat pump system in cold regions

The energy systems of public institutions experience unsatisfactory actual operation and improper operation management, and the level of building energy consumption is increasing annually. Research on the application of key energy-saving technologies in public institutions is an effective method to improve building energy efficiency and reduce energy wastage. In this study, the aperformance of key energy-saving technologies in public institutions were considered as the research object. Combined with the characteristics of different energy-saving technologies and relevant national standards, the evaluation indices were selected from four aspects: comprehensive energy efficiency, economy, environment, and operation management. According to the results of expert investigations and measured data, the index weight was determined using the artificial neural network and expert scoring methods, and a complete evaluation system of indices was built. There were 4 first-level, 10 second-level, and 11 third-level evaluation indices in the evaluation system. The evaluation indices of each level with the largest weights were the comprehensive energy efficiency of the buildings (0.532), technical energy efficiency (0.331), and water pump power consumption to heat (cold) transmission ratio (0.167). The evaluation system for key energy-saving technologies in public institutions is useful for operation managers to identify the weak points of system operations and formulate timely optimisation schemes. This evaluation system can be used as a valuable reference for improving the energy-saving levels of public institutions.

Enhancing Public Financial Management through Performance Evaluation and Cost Systems

Purpose: This study aims to explore public financial management (PFM) through performance evaluation and cost systems, seeking to enhance the efficiency, effectiveness, and accountability of managing public funds. The study highlights the importance of integrating performance evaluation and cost systems to achieve optimal resource allocation and transparency in attaining societal objectives. Research Design and Methodology: This research employs a qualitative approach through a literature review. The research process involves systematic searches of relevant literature, thematic analysis, and synthesis of findings from various studies. The focus is on the design, implementation, and impact of performance evaluation and cost systems in PFM and the challenges and opportunities encountered in their application. Findings and Discussion: The findings indicate that integrating performance evaluation and cost systems can improve public financial management by providing more comprehensive information for decision-making. This integration enables governments to allocate resources more efficiently, identify areas for improvement, and enhance transparency and accountability in managing public funds. However, the study also identifies challenges related to data availability, organizational complexity, and cultural resistance to change. Implications: This study has a practical impact on governments and policymakers in optimizing public financial management. Investment in data infrastructure, capacity-building, and change management strategies is necessary to overcome challenges in implementing integrated performance evaluation and cost systems. Furthermore, the study encourages further research to explore these integrated systems' long-term impact and sustainability in different contexts.

Corporate Leadership in Agricultural Advancements: Exploratory Evaluation of Performance of Kenya Agricultural and Livestock Research Organization (KALRO)

The study examined the influence of corporate leadership on the performance of Kenya Agricultural and Livestock Research Organization (KALRO), utilizing theories of organizational excellence, upper echelons, and stakeholder. The study utilized a mixed-methods design with a pragmatic philosophy to reduce biases. It specifically targeted 75 management organs, with a focus on 60 directors and 188 top leadership members. The study employed cross-sectional survey to examine quantitative relationships, while qualitative perceptions were obtained through interpretive phenomenological analysis. The thorough examination, utilizing a composite regression model, revealed the significant effect of corporate leadership on KALRO's performance. The ANOVA results strongly supported the significant effect of corporate leadership on KALRO's performance by ruling out the null hypothesis that corporate leadership has no significant effect. Engaging in telephone discussions with the respondents who expressed apprehension resolved the primary constraint of the confidentiality of data. Suggested actions involve giving priority to achieving gender diversity, enhancing leadership development, conducting frequent performance evaluations, integrating monitoring and evaluation systems into regular operations, and enhancing communication. The study seeks to provide KALRO's leadership with guidance in making well-informed decisions in the face of conflicting priorities in the country. The research focused on assessing the impact of corporate leadership on the performance of the Kenya Agricultural and Livestock Research Organization (KALRO), employing organizational excellence, upper echelons, and stakeholder theories. Using a mixed-methods design aligned with a pragmatic philosophy to minimize biases, the study targeted 75 management organs, specifically 60 directors and 188 top leadership members. Employing a cross-sectional survey for quantitative analysis and interpretive phenomenological analysis for qualitative insights, the research, through a composite regression model, revealed a significant influence of corporate leadership on KALRO's performance. ANOVA results strongly supported this influence, rejecting the null hypothesis. Addressing confidentiality concerns, telephone discussions with hesitant respondents were conducted. Proposed actions include prioritizing gender diversity, enhancing leadership development, conducting frequent performance evaluations, integrating monitoring and evaluation systems into regular operations, and improving communication. The objective is to equip KALRO's leadership with guidance for informed decision-making amid conflicting priorities in the country. Keywords: Corporate Leadership, Organizational Performance, KALRO, Cabinet Secretary.

OPTIMALISASI DISIPLIN KERJA PEGAWAI DI UPT SDN PURWOREJO 1 KOTA PASURUAN

Evaluation is an effort to identify and evaluate aspects of work performance that influence the success of an organization or agency. The performance evaluation system or process plays a very important role in optimalizing and managing human resources in an agency because if it is not communicated well it will affect the success of the agency and also the ability of employees to plan their careers. The aim of this research is to assess the current employee work discipline at UPT SDN Purworejo 1 Pasuruan City and to find out what percentage of employee work discipline is according to employee attendance records monitored at UPT. SDN Purworejo 1, Pasuruan City. In this research, the data analysis used to analyze the data is a descriptive method. This method systematically, factually and precisely describes or describes the relationship between the facts and phenomena studied without statistical calculations. The research sample used was all employees at the UPT SDN Purworejo 1 school, Pasuruan City. Data collection techniques were carried out through guidance and literature review.

Data-Driven Construction of Operation Evaluation System for Large Medical Equipment in Children's Hospital

Through data collection and analysis, the method of evaluating the operation quality of large medical equipment in children's hospital is explored and suggestions on the use and configuration of large medical equipment is put forward. Collect the equipment operation data through the Internet of Things, and combine the hospital HIS, RIS, HRP and other information system data to establish the operation evaluation system of large medical equipment of children's hospital. CRITIC method is used to quantitatively evaluate single type of equipment and single equipment. Hospital big data platform realizes the longitudinal analysis of the operation data of a single large equipment and forms a visual chart, which is displayed on the PC and mobile terminals. Municipal platform can conduct horizontal analysis on the equipment operation data to realize the comprehensive quantitative evaluation of the operation level of large equipment of children's hospital and put forward suggestions for use and configuration. A large equipment operation evaluation system for children's hospital is established through data collection and analysis, and the fine management level of large medical equipment is improved.

Corridor-Level Auto Occupancy in Mobility Monitoring Efforts: A Crash-Based Approach

Vehicle occupancy (the number of persons per vehicle) is fundamental to evaluations of transportation system performance focused on the movement of people rather than solely vehicles. Historically, obtaining detailed estimates of occupancy has required manual (expensive) field data collection. This paper reports on a crash-based approach for estimating occupancy. Because some characteristics, such as the presence of multiple passengers aged 16 to 21, may affect the likelihood of crash involvement, the study examined ways to control possible crash bias using two methods. The first—heuristic bias correction, which entails synthesizing missing samples—is useful for smaller jurisdictions where there is no ground truth value readily available but an area-wide occupancy measure is needed. The second—statistical bias correction, which uses manual observations for calibration followed by the creation of a model—is suitable for obtaining occupancy at the corridor level. The approach is demonstrated with 12 years of fall and spring crash data for the Hampton Roads region of southeastern Virginia, U.S., representing 1.7 million people and 50,000 crashes. Testing showed estimated occupancies were within roughly 0.05 of true occupancy when corridor-specific calibration was performed. Further, the larger number of samples used for an area-wide occupancy means that heuristic bias correction is not always necessary: for cities with more than 200 samples, the difference between uncorrected and corrected occupancies was 0.02. For states that report the number of occupants for crashes with and without injury, this approach holds promise for estimating vehicle occupancy for both corridors and regions.

A Performance Evaluation Method for Employees in Small and Medium-Sized IT Enterprises Based on Multiple Indicators

In recent years, research on performance evaluation of IT enterprises has become a hot topic worthy of attention. In some countries, IT enterprises have become essential in driving economic development. However, there are significant differences in personnel management, performance evaluation, and other aspects among listed IT enterprises, large IT enterprises, and small and medium-sized IT enterprises, making it difficult to standardize performance evaluation for different types of enterprises. Especially for small and medium-sized IT enterprises, there are still specific problems in performance evaluation due to the unique characteristics of the enterprise. The primary manifestation is that standardized evaluation indicators cannot be fully applicable to small and medium-sized IT enterprises, making it challenging to conduct dynamic evaluations based on the characteristics of the enterprise. This article is based on the research and analysis data of performance evaluation management for small and medium-sized IT enterprises in a particular region of China. It proposes a multi-indicator-oriented performance evaluation system for small and medium-sized IT enterprises and offers corresponding guarantee measures.

A novel 260 Gb/s 2D-OCDMA-FSO multiplexing system's performance evaluation for upcoming generations of high-speed wireless optical networks

A novel 260 Gb/s 2D-OCDMA-FSO multiplexing system's performance evaluation for upcoming generations of high-speed wireless optical networks

Application of The Rapid Application Development Method to Develop a Decision Support System for Employee Performance Assessment in a State-Owned Electricity Company

This study aims to create a decision support system for employee performance evaluation that will help managers choose qualified applicants for advancement. In this study, observation, interviews, and literature review were employed as data collection techniques. RAD is the system development methodology that the author used in this study. Black box testing is used for testing. The following conclusions were drawn from the research's findings: first, it created a helpful decision support system that helped managers judge employee promotions by giving them more objectivity. This system helps managers make more accurate and equitable promotion decisions by offering rewards for evaluating employee performance. Second, this research contributes to the field by developing a decision support system visually representing employee performance metrics using graphs. Using the MFEP and MPE methods in the system provides a clear and easy-to-understand picture of employee performance. With graphs, managers can quickly and efficiently evaluate employee performance data, facilitating decision-making.

Design and performance evaluation of thermal energy storage system with hybrid heat sources integrated within a coal-fired power plant

The operational flexibility of coal-fired power plants (CFPPs) should be effectively enhanced to accommodate large-scale photovoltaic and wind power within the power grid. The integration of thermal energy storage (TES) systems is a potential way to enlarge the load-cycling range of CFPPs. To achieve high operational flexibility of CFPPs and high round-trip efficiency of TES systems, TES systems with hybrid heat sources including the heat converted from power by power-to-heat (P2H) devices and transferred from the reheat steam integrated into CFPP were proposed. Then, simulation and thermo-economic analysis models were developed, and the system design procedure was provided. Results show the minimum power load ratio is decreased from 30 % to about 16 % by storing heat from the reheat steam within the TES system, and then to zero by converting electricity to heat with P2H devices. The mode P-basic constitutes two double-tank molten salt TES systems, which are charged by the heat converted from power by P2H devices and the heat transferred from the reheat steam, respectively. It is discharged by releasing the heat to water/steam cycle of CFPP, and the highest equivalent round-trip efficiency of mode P-basic is up to 62.97 %. Moreover, mode P-basic exhibits the largest total cost of the equipment and storage materials at $58.26 million while it has the largest net present value at $103.79 million and the corresponding payback period is 5 years.

Financial Performance Evaluation of Leading Fisheries Enterprises Based on Entropy-Weighted TOPSIS Method

Fishery is a strategic and fundamental core industry in China. Since the 18th National Congress of the Communist Party of China, the central government has attached great importance to the fishery industry and has issued a series of policies to promote its revitalization and vigorous development. In the favorable policy environment, it is crucial for leading fisheries enterprises to pay attention to financial performance evaluation and strive to improve their own operational efficiency. In this study, we selected seven leading fisheries enterprises as research subjects and used the entropy-weighted TOPSIS method to construct a financial performance evaluation system from four dimensions: debt-paying ability, operational capability, profitability, and development potential. We then conducted performance evaluations on the seven sample companies. The research findings indicate that enterprises should focus on their development capabilities to improve their potential for sustained development, enhance the operational efficiency of fisheries enterprises, and promote their continuous and healthy growth.

Evaluation of Health Systems Performance of OECD Countries Using MOORA Method

International comparison of health systems performance provides evidence to countries, policymakers and decision-makers. This study was conducted in order to rank and compare the health systems performance levels of the Organization for Economic Development and Cooperation (OECD) countries according to the determined health performance indicators. In the study, the data of the countries between the years of 2000–2017 were used and evaluated. The study consists of 36 member countries of the OECD. The data was analysed with the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method, which is one of the multi-criteria decision-making methods, allowing the comparison of the performance of health systems across countries is compared. As a result of the health system performance evaluations of OECD countries. As a result of the health system performance evaluations of OECD countries, it has been concluded that countries such as Switzerland, Germany and Sweden have a high level of health systems performance, and Mexico, Colombia and Turkey have a lower performance compared to other countries. It is expected that countries with lower health system performance levels due to health system structures, demographic characteristics, education levels and technological development levels can still develop by selecting alternative countries suitable for their purpose and adopting the policies and strategies of such countries to their own systems.

Performance Evaluation of Tunnel Support System in Jointed Rock Mass by Numerical Simulation: A Case Study

In this study, a numerical verification of the performance of preliminary tunnel support systems suggested by rock mass classification methods is performed. The Rock Mass Rating (RMR) method and the Quality Index (Q Barton) show a succession of a moderately jointed and jointed quality of Kherrata Tunnel 3. The numerical assessment combining the Finite Element Method (FEM) with the Discrete Fracture Network (DFN) models; involves the jointed area of the tunnel, in which the Voronoi model represents the joints distribution. During numerical simulations, particular attention focused on the evolution of the total displacement and the extension of the plastic zone. In addition, a parametric study was carried out to study the effect of the length and spacing of rock bolts on tunnel deformation. Results showed that the combined FEM and DFN models represent a solution for the stability analysis of underground excavations. The Voronoi model is suitable for representing the global distribution of joints in the rock mass. The parametric study carried out revealed pertinent conclusions. Thus, increasing the length of bolts (4 m to 6 m) decreases the total displacement of the tunnel; and reduces the extension of the plastic zone. However, the spacing between rock bolts does not improve the stability. The empirical method remains a reliable tool for the recommendations of preliminary support systems.

Flow characteristics of dispersed two-phase flows in an 8 × 8 rod bundle

Two-phase flows in rod bundles or tube bundles appear in heat transfer systems. The bundle-average (or one-dimensional) void fraction is a critical parameter in overall system design, performance evaluation, and safety assessment. Accurate bundle-average void fraction prediction requires a precise interfacial momentum transfer term formulated using the distribution parameter and drift velocity, two essential drift-flux parameters in the drift-flux model. The currently utilized modeling approach is based on the distribution parameter and drift velocity determined together through drift-flux plots. This results in possible compensation errors between the distribution parameter and drift velocity in the model validation process. The independent validation of the constitutive equations for the distribution parameter and drift velocity has been challenging due to experimental difficulty in measuring detailed two-phase flow structures in rod bundles. The present study proposes an approximation methodology to obtain subchannel average two-phase flow parameters using local two-phase flow data measured at two local points: the subchannel center and minimum gap center in a rod bundle. The distributions of subchannel average two-phase flow parameters are invaluable in benchmarking subchannel analysis codes. Comprehensive subchannel average void fraction and gas velocity mappings are given to discuss the effects of gas and liquid velocities, pressure, spacer grid, and developing length on the two-phase flow characteristics in the rod bundle. The bundle-average distribution parameter values calculated by subchannel average two-phase flow parameters are used for independent validation of the constitutive equations of the distribution parameter. The bundle-average drift velocity values back-calculated using the distribution parameter values are also used for independent validation of the constitutive equation of the drift velocity.

A novel machinery RUL prediction method based on exponential model and cross-domain health indicator considering first-to-end prediction time

Remaining useful life (RUL) prediction is of great significance in the mechanical transmission system as it provides a basis for the predictive maintenance of bearings and gears. Recently, intelligent data-driven methods of tag-based end-to-end and based-health indicator multi-step iterative for RUL prediction have been developed. However, they still mostly suffer from some limitations: 1) The reasonable failure threshold of mechanical system is rarely considered. 2) First-to-end prediction time (FEPT) is ignored during the construction of degradation trend. To address the above drawbacks, a novel machinery RUL prediction method based on Exponential model and cross-domain health indicator (CDHI) considering FEPT is proposed. The grey target decision (GTD) is first applied to the performance evaluation of mechanical system and a weighted GTD is proposed to construct sensitive health indicators and sensitive failure indicators for determining FPT and EPT respectively. Then, to generate the CDHI considering FEPT under different working conditions, a transfer quadratic function-based ConvLSTM framework is proposed based on the degradation trend of quadratic function and maximum mean discrepancy. Finally, the Exponential model is used to perform RUL regression prediction based on the generated CDHIs. The proposed RUL prediction method has been demonstrated by five datasets and compared with several state-of-the-art approaches. Extensive experiments show that the proposed method outperforms other approaches in terms of superiority, robustness and generalization.

Performance evaluation of a UOWC system based on the FRS/OCDMA code for different types of Jerlov waters.

In this work, the fixed right shift (FRS) code is utilized for the optical code division multiple access (OCDMA) technique in an underwater optical wireless communication (UOWC) system. Additionally, in this system, a 532nm laser diode (LD) source is employed to generate optical signals. The investigation encompasses an analysis of five distinct Jerlov water types, each exhibiting diverse chlorophyll concentrations. The performance of the proposed system is evaluated when each channel that is assigned a unique FRS code sequence carries different data rates (2.5, 5, and 10Gbps). Underwater (UW) ranges, bit error rate (BER), eye diagrams, and quality factor (Q-factor) are the performance metrics used to evaluate the system performance. The proposed UOWC-FRS/OCDMA system is simulated, and the obtained results show that the eye diagram openings close, the BER increases, and the Q-factor decreases as the data rate per each channel increases from 2.5 to 10Gbps, and the attenuation of water becomes higher. Moreover, the lower attenuation values caused by the Jerlov type I (JI) waterbody allow each channel to carry 10Gbps of data to propagate longer UW for a range of 35m with a log(BER) ≤-6.33 and Q-factor greater than 4.9. On the other hand, at the same values of BER and Q-factor, the shortest ranges of 12 and 5.15m are obtained for JII and JIII waters, respectively, where their attenuation coefficient values are 0.5297 (JII) and 1.8998 m -1 (JIII). Furthermore, as our model uses three channels, the overall achieved capacity is 3×10G b p s=30G b p s.

Development of a dual-functional inhibitor for natural gas hydrates and construction of drilling fluid system

Throughout the 21st century, natural gas hydrates have emerged as a pivotal and promising clean energy resource with immense potential for commercial development. However, during shallow-water gas hydrate drilling in deep-sea areas, heat and mass transfer between the drilling fluid and the natural gas hydrate reservoir result in hydrate dissociation. As a result, the reservoir strength is weakened, wellbore instability occurs, and there is a high risk of well collapse. Additionally, the formation of secondary hydrates can cause blockages in drilling tools or pipelines, compromising drilling safety. In this study, acrylamide and dimethyl diallyl ammonium chloride were used as raw materials to successfully develop a dual-effect hydrate inhibitor named ADP. The results showed that a 1% ADP concentration increased the inhibition efficiency of hydrate dissociation by approximately 21.13%. Furthermore, core immersion and linear expansion experiments using a 1% ADP solution showed that after 24 h, the core maintained its structural integrity without experiencing collapse, and the linear expansion rate decreased to 1.5%. Building upon the HEM system, this research employed the developed dual-effect hydrate inhibitor as the core component and further optimized density, rheology, filtration loss, hydration expansion inhibition, and hydrate inhibition properties to construct a high-performance water-based drilling fluid system for strong hydrate inhibition. Performance evaluation of the HTX system demonstrated excellent rheological filtration, lubrication, plugging, hydration expansion inhibition, and hydrate inhibition properties. Additionally, predictive models for drilling fluid rheological parameters under different temperature conditions were established. The research outcomes presented in this paper hold significant practical value in addressing the wellbore stability issues encountered during the drilling process of gas hydrate reservoirs in deep-sea areas.