Performance Evaluation Of System Research Articles

Evaluation of a permanent SHM system performance in detecting damage scenarios considering runnability thresholds

Due to an increasing number of bridges approaching the end of their design lives, there is a growing interest by the infrastructure managers on monitoring systems able to provide information on the service capability of structures. Focusing, in particular, on railway bridges, serviceability is related to both structural serviceability and runnability, where the first is related to the structural capability of the bridge, while the second is related to the constraints on rail geometry. In this work the authors present an investigation of the capability of a permanent monitoring system to detect the presence of damages that would lead to an exceedance of the structural threshold values imposed by runnability norms. The target structure is a double-span Warren truss railway bridge, located in Italy, designed in 1946 and currently instrumented with a permanent monitoring system. The latter performs dynamic, quasi-static and static measurements, with sensors ranging from velocimeters to end displacement transducers and clinometers. Thanks to a FE model of the actual structure, a set of damage scenarios can be simulated, defining the damage entities that lead to the exceedance of thresholds imposed by norms in terms of runability assessment. As a result, the installed sensors mesh was found to distinguish such critical structural conditions as well as lower entity damage scenarios. The paper discusses the capability of different sensor configurations and monitoring strategies (“dynamic”, “static”, etc) to detect such damage scenarios, in terms both of “early warning” capability and of minimum time required to detect the anomaly. The same approach can be extended to the analysis with respect to structural serviceability limits.

Construction and performance evaluation of polyguluronic acid polysaccharides-based drug delivery systems

Polysaccharides have garnered significant attention as potential nanoparticle carriers for targeted tumor therapy due to their excellent biodegradability and biocompatibility. Polyguluronic acid (PG) is a homogeneous acidic polysaccharide fragment derived from alginate, which is found in brown algae, possesses excellent bioactivities, unique properties. This study explored the immunomodulatory activity of PG and developed PG-based nanogels through modified disulfide bonds and Ca2+ dual crosslinking. We characterized their structure, assessed their drug-loading and release properties, and ultimately validated both the safety of the nanocarrier and the in vitro anti-tumor efficacy of the encapsulated drug. Results indicated that PG significantly enhanced the proliferative activity and phagocytosis of RAW264.7 cells while promoting reactive oxygen species (ROS) production and cytokine secretion. The study identified TLR4 as the primary receptor for PG recognition in RAW264.7 cells. Furthermore, PG-based drug-carrying nanogels were prepared, exhibiting uniform sizes of about 184 nm and demonstrating exceptional encapsulation efficiency (82.15 ± 0.82 %) and drug loading capacity (8.12 ± 0.08 %). In vitro release experiments showed that these nanogels could responsively release drugs under conditions of high glutathione (GSH) reduction, facilitating drug accumulation at tumor sites and enhancing therapeutic efficacy. This research not only expands the application of PG in drug delivery systems but also provides valuable insights into leveraging natural immunomodulatory polysaccharides as carriers for targeted drug delivery.

Performance evaluation of the SMART passive safety injection system against the SBLOCA scenario with the SMART-ITL facility

A set of system performance tests has been performed and the thermal-hydraulic behaviors were investigated for the passive safety injection system (PSIS) of the SMART design. Major thermal-hydraulic characteristics of core cooling in reactor coolant system and safety injection (SI) in PSIS were investigated using the SMART-ITL. The parametric effects of break size, break location and train number on the PSIS performance were discussed with the relevant SMART-ITL data. Compared with the 2.0 inch SI line break test, the 0.4 inch SI line break test has a milder change of system parameters. The pressure is reduced more quickly, the decrease of water level is slower and the break mass flow rate is higher during the pressurizer safety valve line break than during the SI line break. Major thermal-hydraulic parameters were compared among single, two and full train operation of the PSIS focusing on the effect of train number. It was shown that multiple trains of CMT and SIT were operated independently and the reactor vessel (RV) inventory increased proportionally with the addition of each train. Sufficient SI water was injected into the RV in a passive manner to cool down the reactor core efficiently during the full train test.

Analisis Perilaku Kerja Pegawai pada Kantor Kecamatan Teluk Jambe Timur

This research aims to analyze the work behavior of employees at the East Telukjambe Sub-district Office, Karawang Regency, based on the Regulation of the Minister of State Apparatus Empowerment and Bureaucratic Reform of the Republic of Indonesia Number 6 of 2022. This study uses a qualitative approach with a focus on seven indicators of employee behavior, namely Service Orientation, Accountability, Competence, Harmony, Loyalty, Adaptability, and Collaboration. Informants in this study consist of the Sub-district Head, staff members, and the community. Primary data were obtained through direct interviews with respondents, while secondary data were obtained from related literature and documentation. The analysis results indicate that the East Telukjambe Sub-district Office shows positive performance in all the examined indicators of employee behavior. Measures such as clear service policies, employee training, participatory performance evaluation systems, and promotion of collaboration among employees have been taken to strengthen this performance.

Lane Line Detection System for Vehicle Using Python

Abstract: This research presents a real-time collision detection and lane assistance system implemented using Python and OpenCV. The system leverages computer vision techniques to detect vehicles and lane lines, calculate distances to detected objects, and issue timely alerts to prevent collisions. The implementation aims to enhance driver safety by providing real-time feedback about the vehicle's surroundings. This paper details the system's design, methodology, and performance evaluation.

Research on the Performance Evaluation System of Teachers in X University based on Analytic Hierarchy Process

In 2019, the gross enrollment rate of higher education in China was 51.6 %, and higher education has entered a period of universalization. the gross enrollment rate of higher education in China has reached 60.2 % by 2023. The change in education methods has caused problems such as declining teaching quality and shortage of school resources in colleges and universities. College teachers are the disseminators of culture, the backbone of teaching and educating people, and a group of high-quality talents in society and colleges and universities. They are the key to improving the quantity and quality of talent training in colleges and universities [1]. In this context, the performance evaluation of college teachers is particularly important, and the performance evaluation system of college teachers is a weather vane of teacher behavior. A scientific and reasonable performance evaluation system for college teachers can effectively motivate teachers to improve their teaching ability, education ability, scientific research ability, social service ability, etc. This paper uses the Delphi method to screen and determine the evaluation indicators initially extracted, and establishes a local university performance evaluation index system that includes the first-level indicators of teacher ethics, teaching level, scientific research ability and social service, 11 second-level indicators and 29 third-level indicators. In order to verify the effectiveness of the index system, a combination of qualitative and quantitative methods is used to take X University as an example. On the premise of understanding the current status of teacher performance management in X University, the performance of teachers in X University is evaluated. Finally, the performance evaluation results of X University are analyzed, and according to the actual situation of X University, suggestions are put forward for the performance evaluation of teachers in X University from three aspects: strengthening teacher workload management, improving performance evaluation feedback mechanism, establishing teacher performance incentive mechanism, strengthening teacher social service, and improving teacher scientific research ability.

Performance Evaluation of Hologic Panther Aptima System to Detect HBV, HCV, and HIV-1 Infections: A Comparison with Abbott Alinity m System

Performance Evaluation of Hologic Panther Aptima System to Detect HBV, HCV, and HIV-1 Infections: A Comparison with Abbott Alinity m System

The Relationship of the European Differentiation Model to the Effectiveness of Performance Evaluation Systems

تتجسد الفكرة الرئيسية لهذه الدراسة في محاولة الباحث التعرف على الدور الذي يمارسه الانموذج الاوربي للتميز كمتغير مستقل في تعزيز فاعلية انظمة تقييم الاداء كمتغير تابع داخل ديوان الرقابة المالية الاتحادي في العراق ، اما اهمية الدراسة تتمثل بتقديم جملة توصيات تساعدنا بمجملها من وضع اقتراح الحلول للمشاكل المشخصة بهذه الدراسة، في حين تتمثل اهداف هذه الدراسة بتشخيص واقع هذه المتغيرات والعلاقة بينها داخل ديوان الرقابة المالية الاتحادي في العراق ولغرض اتمام هذا البحث بمفاصله النظرية والتطبيقية اعتمد المنهج الوصفي التحليلي ، اما البيانات فقد تم حصرها من خلال استخدام الاستبانة التي تم اعدادها بالاستناد الى مجموعة من المؤشرات والمعايير الجاهزة التي تم تكيفها لتلائم البيئة المحلية ، والتي تم توزيعها والاجابة عليها من قبل مجموعة موظفين والبالغ عددهم (267) موظف في ديوان الرقابة المالية الاتحادي / العراق ، وبعد معالجة البيانات احصائياً باستخدام مجموعة من الادوات الاحصائية المتاحة في برنامج spss-v23 وقد بينت النتائج ان المؤسسة المبحوثة تطبق جميع ابعاد الانموذج الاوربي للتميز وان الابعاد تراوحت متوسطاتها الحسابية ما بين (3.3-3.7) حيث جاء بعد القيادة بالمرتبة الاولى وبنسبة اتفاق (88%) ويليه الابعاد الثلاثة الموارد البشرية والشراكات والمجتمع الخارجي بالتشارك بنفس الترتيب وبنسبة اتفاق (86%) ومن ثم بعد الاستراتيجية والمنتجات بنسبة اتفاق (85%) واخيرا بعد الاداء التنظيمي وبنسبة اتفاق (84%) ، وقد اظهر الدراسة ايضا ان المؤسسة المبحوثة تطبق ابعاد فاعلية تقييم الاداء وتراوح متوسطاتها الحسابية بين(3.6-3.7) حيث جاء بعد الابداع بالمرتبة الاول وبنسبة اتفاق (87%) ويليه أبعاد الميزة التنافسية والكفاءة والفاعلية بنسبة اتفاق (86%).

Performance Evaluation of Variable Rate Spraying System under Simulated Conditions

Performance Evaluation of Variable Rate Spraying System under Simulated Conditions

An Analysis of Performance Appraisal in China from The Perspectives of Scholars

The importance of performance appraisal is widely acknowledged, and its implementation varies from country to country. China's performance evaluation is conducted once a year, and a new version of the civil service evaluation system will be developed in 2020. This study examines academic perspectives on performance appraisal in China, which often vary in approach, content, incentive structures, and outcomes. Due to the lack of accuracy and subjectivity, the concept of "unscientific indicator design" in China has been greatly criticized. Chinese civil servants must have a high ideological and political quality, strong working ability, maintain a good work style, outstanding work performance, and achieve excellent results in the annual assessment. These criteria have a wide range and have the potential to lead to unfair evaluations that can negatively impact employee motivation. Many experts put forward opinions and suggestions on improving the content of performance appraisal in China; The Dutch academics suggest a transparent and detailed workflow system for registering and measuring performance, while the Brazilian academics suggest that employee performance should be taken seriously during evaluation. This requires recognizing strengths and weaknesses, making suggestions for improvement, and identifying their career prospects based on the results of the performance review. This study mainly examines the scholars' views on the similarities and differences of performance evaluation. In addition, it assesses current concerns within the appraisal system. This data will provide the basis for the exploration and development of broader, more scientific and logical performance evaluation systems.

Development of an Comprehensive Budget Management and Performance Evaluation System

The rapid advancement of socio-economic conditions and technology offers enterprises opportunities to enhance their capabilities. As they expand operations, improving management precision becomes essential. Budgeting, a crucial accounting tool for implementing corporate strategy, quantifies action plans and translates strategic planning into specific quantitative measures. Budget management involves forecasting, planning, evaluating, and providing feedback on future business activities and financial outcomes, guiding operational optimization and driving the achievement of strategic goals. Comprehensive implementation of budget management is highly significant for enterprises. This paper explores the characteristics and implementation details of comprehensive budget management, assesses the achievements and shortcomings of Company A in its practice, and analyzes its budget performance evaluation methods, particularly the deficiencies in indicator design. Using the balanced scorecard theory and methods, this study designs a budget performance evaluation indicator system tailored to Company A’s context. This system, based on the company’s strategy and objectives, employs budget performance evaluation as a means to achieve overall strategic goals through business improvement and employee motivation.

Clinical efficacy and performance evaluation of a bendable remote robot system for a bone tumour surgery: A pilot animal study.

Traditional open surgery for bone tumours sometimes has as a consequence an excessive removal of healthy bone tissue because of the limitations of rigid surgical instruments, increasing infection risk and recovery time. We propose a remote robot with a 4.5-mm diameter bendable end-effector, offering four degrees of freedom for accessing the inside of the bone and performing tumour debridement. The preclinical studies evaluated the effectiveness, clinical scenario, and usability across 12 total surgeries-six phantom surgeries and six bovine bone surgeries. Evaluation criteria included skin incision size, bone window size, surgical time, removal rate, and conversion to open surgery. Preclinical studies demonstrated that the robotic approach requires significantly smaller incision size and procedure times than traditional open curettage. This study validated the performance of the proposed system by assessing its preclinical effectiveness and optimising surgical methods using human phantom and bovine bone tumour models.

Performance Evaluation of Heat Pump Systems Utilizing Construction Waste as a Low-Temperature Heat Source

Performance Evaluation of Heat Pump Systems Utilizing Construction Waste as a Low-Temperature Heat Source

Field trial and performance evaluation of IoT poultry farm monitoring system

IoT technology revolutionizes poultry farming by enabling real-time data collection and analysis. Traditional manual methods for monitoring temperature, humidity, and AC voltage are being replaced with automated systems. The IoT setup includes three sensor nodes, CCTV, an IoT gateway, and a web server. Temperature ranges from 27 to 35°C in offfattening periods and consistently above 30°C during fattening. Humidity fluctuates between 60% to 90% in both periods. The CPU temperature remains within safe limits. Uplink data rates exceed 2 Mbps, while AC voltage initially falls below standards but improves over time.

Performance evaluation of standalone new solar energy system of hybrid PV/electrolyzer/fuel cell/MED-MVC with hydrogen production and storage for power and freshwater building demand

To achieve zero carbon emissions, increasing the scale of renewable energy implementation is imperative. Hydrogen is considered the prospective solution for sustainable energy due to its dual nature as a carbon-neutral fuel and an efficient storage medium for renewable energy sources. So, in this work, a standalone new hybrid energy system powered by solar energy for yearly power and freshwater production for building demand in New Borg El-Arab, Egypt. The system comprises photovoltaic (PV) panels, a water electrolyzer, multi-effect mechanical vapor compression desalination (MED-MVC), and fuel cells with hydrogen storage. A complete mathematical system model is built and solved by MATLAB/Simulink to study the daily, monthly, and yearly performance and sizing of the different system components based on the location climate conditions. The results indicate that PV panels of an area of 1824 m2, in conjunction with an electrolyzer, 863 fuel cells, and a storage tank capacity of 3013.4 m3can satisfy the annual building requirements of 255.17 MWh electricity, 766.5 m3 hot water and 876 m3 cold water. The maximum hydrogen storage lies between September and October, with maximum consumption between February and March. The average annual efficiency of PV, electrolyzer, fuel cell, electrolyzer output, fuel cell output, and overall hybrid system is 20.7%, 68.2%, 34.6%, 13.4%, 4.4%, and 16.5%, respectively, and the performance ratio (PR) of MED-MVC is 2.61. The system proves its capability to supply the building with electrical and water requirements with a levelized cost of energy (LCOE) equal to 0.712 $/kWh. Additionally, This system shows the potential to include other activities in remote areas or islands besides its contribution to achieving SDGs 6, 7, and 13.

Performance modeling and cost optimization of a solar desalination system using forward osmosis with energy storage

This study presents the design and performance evaluation of a solar-driven water desalination system based on forward osmosis (FO) with thermally responsive ionic liquids (ILs). FO is a two-step process involving dilution of the ILs with water, followed by heating above a critical temperature to induce phase separation of liquid water from the IL. This regeneration step can be achieved by integrating FO with low-grade solar energy, which is abundant in regions that face severe water scarcity. A system design is presented that couples an FO membrane module with a compound parabolic concentrator solar collector and thermal energy storage to minimize solar intermittency and produce clean water at a distributed scale of 10 m3/day. To determine the optimal sizing of components in the system, a technoeconomic analysis using the TRNSYS software is performed with the goal of minimizing the levelized cost of water (LCOW). Notably, over 96 % of the energy required for regeneration comes from solar energy and/or the thermal energy storage (TES) in all cases, with auxiliary heat from electricity being used to maintain a continuous process. To evaluate the potential of solar-FO in three different locations within the United States, a case study is presented for Phoenix, AZ; San Diego, CA; and Atlanta, GA. The simulation results reveal that for a small-scale desalination system, LCOW values as low as $1.31/m3 can be attained, with the potential to approach $1/m3 by lowering the costs of the solar collector and FO module based on a sensitivity analysis.

Performance evaluation of complex systems based on hierarchical evidential reasoning rule considering disturbances

Performance evaluation of complex systems based on hierarchical evidential reasoning rule considering disturbances

In situ performance evaluation of a solar water heating system for a hospital laundry in the Sahel

There is a limited number of empirical studies on the actual energy output of solar water heating systems (SWHSs). In the Sahel, where solar potential is abundant, the transition to sustainable energy solutions requires comprehensive evaluations of SWHSs, including their economic viability. Such assessments are crucial for informed decision-making by stakeholders and for facilitating the widespread adoption of SWHSs, including their integration into industrial processes. This paper presents a year-round experimental study assessing the real-world performance and economic viability of a SWHS integrated into a hospital laundry in Ouagadougou, Burkina Faso. The primary aim of the study is to analyse the practical performance of the integrated collector storage (ICS) SWHS and evaluate its economic viability. The performance of the ICS SWHS is monitored over the course of a year. Data collection included measurements of solar irradiation, ambient temperature, inlet and outlet water temperatures, and energy output of the SWHS. Economic assessments considered factors such as installation costs, energy savings, and payback periods. Environmental implications were evaluated through the estimation of avoided CO2 emissions. The ICS SWHS achieved an efficiency of 38 % and a solar fraction of 17 %, resulting in approximately 1.3 t of avoided CO2 emissions annually. Economic assessments revealed extended payback periods, leading to exploration of alternatives. Subsequently, a water-in-glass evacuated tube collector (ETC) system, deemed more cost-effective, was selected and it indicated superior energy production. Preliminary results suggest compelling payback periods for the ETC system, ranging from 3.1 to 4.5 years under realistic scenarios. The study underscores the significance of practical experimentation, appropriate technology selection, and improved market regulations for informed decision-making. SWHSs present a promising avenue for sustainable energy solutions in the Sahelian region and beyond, offering both economic benefits and environmental impact.

Fractional order PID controller for load frequency control in a deregulated hybrid power system using Aquila Optimization

This paper presents an innovative approach for automatic generation control for power system under a deregulated setting. The main objective of this work is to optimally tune the parameters of the fractional-order controller using the newly developed Aquila Optimizer (AO) to enhance system performance. A test system comprising a thermal power plant, a hydroelectric system, a gas turbine-based power plant, and wind energy sources is examined under deregulated environment. The study emphasizes the minimization of frequency variations, tie line deviations, and area control errors during diverse operational shifts. The proposed control strategy explores the response of generators in a hybrid deregulated power system, emphasizing the critical role of properly tuned Fractional Order Proportional-Integral-Derivative (FOPID) controllers in ensuring system stability. The potential and effectiveness of the proposed algorithm are compared with particle swarm optimization (PSO) and whale optimization algorithm (WOA) based controller performance for the same test system. The objective function for optimization is set as the minimization of the integral time and absolute error (ITAE) performance index. Furthermore, the efficacy of the proposed technique is compared with the Unified Power Flow Controller (UPFC) and its superiority is validated. Performance evaluation of the hybrid power system is conducted under Poolco agreement, bilateral agreement, and varying operating conditions. Comparative assessments reveal the superiority of the AO-driven FOPID over other techniques, demonstrating improved system metrics, including frequencies across different areas, tie-line power variations, and generator outputs.

Performance Evaluation Model of Corporate Financial Sustainability based on Swarm Algorithm

In traditional financial performance evaluation models, parameter settings are often too large or too small, resulting in significant model errors. To address this issue, an improved artificial bee colony algorithm was proposed and applied to optimize the parameters of performance evaluation models. This method first constructs a corporate financial performance evaluation system, and then improves the artificial bee colony algorithm with differential evolution algorithm to optimize the parameters of the long short-term memory network, in order to improve the accuracy of the long short-term memory network in corporate financial performance evaluation. The results showed that the improvement of the ABC algorithm was effective. The improved ABC algorithm converged on the Ackley function in the 800th iteration, and the ABC algorithm converged in the 1400th iteration. The evaluation error of the proposed method is the lowest, with the algorithm having the lowest four errors of -0.0121, 0.0453, 0.0683, and 0.0047, respectively. Among the other algorithms, the comprehensive error of the financial performance evaluation model based on Long Short Term Memory (LSTM) network is relatively low, but still lower than the algorithm proposed in the study. The research proposes a long short-term memory network optimized based on improved artificial bee colony algorithm, which can accurately evaluate the financial performance of enterprises, help them review their own development level, and clarify their future development direction.