Performance Evaluation Of System Research Articles

Practical Implementation and Performance Evaluation of a Voice-Controlled Wheelchair System

Practical Implementation and Performance Evaluation of a Voice-Controlled Wheelchair System

Performance Assessment of Venturi-Assisted Confined Tube Aerators with Varying Diameter

A significant amount of energy in wastewater treatment plants is spent on aeration to treat the organic matter with microorganisms in an oxygen-enriched environment. In this study, a novel and simplistic aeration concept known as Confined Tube Aeration (CTA) is proposed, in which the main elements are a Venturi injector and a coiled tube at its outlet. Two Venturi injector diameters were chosen for evaluation in this study, measuring 1 inch (25.4 mm) and 4 inch (101.6 mm). In this study, a relationship was developed between air suction rate and pressure differential across the injector. Then, a numerical model was developed to analyze hydrodynamic conditions and evaluate system performance. The main findings are that the larger diameter aerator performs 20% better than the smaller injector in terms of standard aeration efficiency (SAE), with a maximal value of 0.74 kgO2/kWh found for the larger diameter system. These results suggest that future SAE improvements may be made for larger diameter systems in full-scale wastewater treatment applications with suitably designed injectors.

Comparative study on the organic rankine cycle off-design performance under different zeotropic mixture flow boiling correlations

Zeotropic mixture utilization enhances the performance of the Organic Rankine cycle (ORC) significantly. For geothermal ORC power plants, the zeotropic mixture flow boiling correlation plays a vital role in both evaporator design and system performance evaluation. Based on the screened zeotropic mixture R1224yd(Z)/R1234ze(E) (0.452/0.548), a comparative analysis of 4 flow boiling correlations is performed to assess their impact on both evaporator design and system performance under off-design conditions. The results underscore a substantial impact of these correlations on determining the plate length, with the largest relative difference being 53.8%, consequently resulting in uncertainties of 31.7% and 23.4% for the evaporator exergy loss and cost, respectively. Under off-design working conditions, the relative difference in net power output varies from 16.43% to 7.67%. The exergy efficiency variation is up to 11.82% and the electricity production cost (EPC) uncertainty is up to 11.2% at the working condition with the maximum difference in net output work. This study provides valuable insights for selecting the appropriate zeotropic mixture flow boiling correlation in practical evaporator design and evaluating the off-design performance of ORC systems.

Exploring the Feasibility of Solar Photovoltaic Generation for Residential Applications in Hubballi, Karnataka: A Simulation and Analysis Approach

This research paper explores the potential of solar photovoltaic (PV) generation in Hubballi, Karnataka, India, focusing on a small residential home premises. The objective is to assess the solar PV potential at this location using PVsyst simulation software and analyze the results. The paper begins with an introduction to solar PV technology and its significance in meeting energy demands. A literature review examines previous studies on solar PV potential in Karnataka, highlighting the factors influencing solar PV generation efficiency. The methodology section describes the study area, data collection methods, and the PVsyst simulation setup. The data analysis section presents the collected solar irradiation and temperature data and discusses the simulation results for solar PV generation at the selected premises. The performance evaluation of the PV system is based on the simulation outcomes. The discussion section compares the simulated results with expected solar PV potential, identifies factors affecting solar PV generation efficiency in Hubballi, and discusses the implications of the findings for residential installations. The conclusion summarizes the research findings, emphasizes the solar PV potential in Hubballi, and provides recommendations for future research and practical applications. This research contributes to the understanding of solar PV generation at the specific location of Hubballi and offers valuable insights for promoting renewable energy in residential settings

Performance Evaluation of Solar Photovoltaic Systems in Anand City, Gujarat, India

Since, India is situated on the sunny belt in the north of equator, the scope for generating power and thermal applications using solar energy is huge. The present study was planned to evaluate the performance of rooftop photovoltaic (PV) system in Anand city of Gujarat state of India. Performance of the PV system was carried out by recording and calculating various parameters such as average yearly solar PV energy yield, performance ratio and capacity utilization factor. The average daily energy yield of solar PV system was 42 kWh. The capacity utilization factor and performance ratio of solar PV system were 15% and 88% respectively. These results can be used by project developers to select optimum size of PV system to generate specified output of solar PV system.

Does target-based performance evaluation system reduce pollution emissions? Firm-level evidence from China

This paper sheds light on the effectiveness of a concrete target-based performance evaluation system (TPES) for localities in enhancing local environmental enforcement in China. We conduct a difference-in-differences (DID) specification and exploit unique firm-level data to investigate the effects of the TPES on SO2 emission reduction through the Two control Zones (TCZ) policy. The results suggest that the TPES significantly reduces SO2 emissions of firms located at the TCZ cities, both in extensive and intensive margins. We also find that the treatment effects vary largely across enterprise sizes, ownership types, and local economic development. Our findings further verify how the long-standing distortions in the decentralized implementation of nationwide environmental regulations in China are remedied with a proper performance evaluation system.

Development of DCS SCADA Module for Factory I/O Pick and Place XYZ Case Based on Siemens S7-1200 PLC and HMI Excel Link

The DCS SCADA course plays a significant role in the latest curriculum introduced at Politeknik ATI Makassar in 2022. However, the utilization of real plant instrumentation in industrial environments often proves costly. To overcome this cost barrier, this research develops a DCS SCADA module employing an industrial simulation application, namely the virtual plant Factory I/O, with a case study involving Pick and Place XYZ. This scenario entails the placement of boxes onto pallets using a three-axis robotic manipulator. The module utilizes the PLC Siemens S7-1200 as the control device and HMI Excel Link as the supervisory device. To detect the boxes and parts, two retroreflective sensors are employed, with three conveyors facilitating transportation and a robotic pick and place arm moving in three XYZ axes. Through integrated procedural testing, the system's performance evaluation demonstrates a 100% success rate (OK status).

Performance Evaluation of Water Quality Monitoring System using Arduino Uno with IoT Server Based

Clean drinking water is a critical resource, important for the health and well-being of all humans. So it’s very important to monitor the quality of water available in reservoir. For this purpose, we proposed a “Water quality monitoring system using IOT”. 40% of deceases in universal are produced by water contaminations. So, the eminence of the drinking water wants to be restrained in real time although it is provided to customers. In this project, we propose a development and extension of a real time water eminence computing structure at compact cost using Arduino Uno. To figure out the parameters of the water such as temperature, pH, Conductivity, Turbidity, TDS. The sensor output data is sent to the concerned authority for additional stages to advance the water quality.

A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

With the rapid growth of the economy, enterprises have encountered a series of problems while pursuing economic benefits, such as food safety and environmental pollution issues, resource shortages and energy consumption issues, which affect the sustainable development of enterprises. Establishing a corporate performance evaluation system from the perspective of social responsibility, based on stakeholder theory and the importance of overall goals reflected in the weight of social responsibility indicators, is a very effective measure to achieve corporate social responsibility (CSR) goals through CSR motivation and stakeholders. The performance evaluation of CSR from the perspective of environmental accounting is a MAGDM. Recently, the CoCoSo technique and cosine similarity measure (CSM) technique was utilized to conduct the MAGDM. The intuitionistic fuzzy sets (IFSs) are utilized as a technique for conducting uncertain information during the performance evaluation of CSR from the perspective of environmental accounting. In this study, the intuitionistic fuzzy CoCoSo based on the CSM (IFN-CSM-CoCoSo) technique is built for MAGDM with IFSs. Finally, a numerical example for performance evaluation of CSR from the perspective of environmental accounting is conducted to verify the IFN-CSM-CoCoSo technique.

Efficiency Evaluation and Performance Governance of Infrastructure Construction Based on DEA and Improved Neural Networks

Abstract Infrastructure construction is the carrier of regional economic development, and the rational use of urban construction land is an important basis that largely depends on the efficiency of urban infrastructure construction. However, due to the lack of effective integration between urban evaluation and management in infrastructure, the infrastructure performance evaluation system is not yet mature enough. Therefore, this article conducts efficiency evaluation and performance governance of infrastructure construction based on DEA and improved neural networks. Firstly, based on a comprehensive analysis of performance evaluation, the advantages and disadvantages of infrastructure construction were explored. Secondly, in the study of using DEA and improved neural networks to evaluate the efficiency of infrastructure construction, a performance evaluation index system for urban infrastructure construction was constructed from four aspects: input, output, effect, and activity. A systematic performance evaluation of urban infrastructure was conducted, and optimization suggestions were proposed accordingly.

Development and implementation of real-time staff performance monitoring and evaluation system based on Global Positioning System (GPS)

This work presents the development and implementation of a Real-Time Staff Performance Monitoring and Evaluation System (RT-SPMES) using Global Positioning System (GPS) technology. In line with the dynamism of the workplace, due to rapid changes in technology, existing staff performance appraisal systems have fallen short of expectations due to their manual nature. Hence, the need arises for a more robust approach to monitoring and evaluating employee work performance. To achieve this, this work carried out an exhaustive review of existing performance evaluation methods within the academic and a conceptual architecture was developed. A real-time monitoring and evaluation system was developed, using PHP programming language, Hyper Text Markup Language and Cascading Styles Sheet. The system is hosted on Azure Cloud infrastructure. Through sufficient testing of the developed system developed in this work, it was asserted effectively monitors employee performance in real-time, paving the way for an objective appraisal process devoid of bias and manipulation.

경찰공무원의 직무만족에 미치는 영향요인 연구

In modern society, police officials are responsible for key security tasks such as crime prevention, crime response, and civil safety, and play a role in maintaining national safety and stability. Therefore, it can be said that the job satisfaction of police officials is an important factor that has a great influence on social stability and the effectiveness of law enforcement. In this study, an in-depth study was conducted to analyze the relationship between police officials' job satisfaction based on Herzberg's motivation and hygiene theory to examine the factors affecting police officials' job satisfaction. Herzberg's motivation and hygiene theory is one of the important theories for explaining and improving job satisfaction, and classifies job satisfaction and job dissatisfaction as other factors. According to the analysis, higher growth potential, promotion, praiseㆍrecognition, and achievement, which are Herzberg's motivating factors, can have a positive effect on job satisfaction, and higher hygiene factors such as communication, work environment, policyㆍ supervision, and salaryㆍallowance can have a positive effect on job satisfaction. These results support Herzberg's motivation and hygiene theory, and suggest that police organizations need to improve job satisfaction by strengthening organizational management and support. As active and active police activities of individual police officials are required, the following implications are derived based on the analysis results of this study. The first is a sense of accomplishment. As shown in the analysis results, it was found that the sense of achievement had a high effect on job satisfaction. If you feel rewarded and accomplished through your current work as a police officer, this will soon help you improve your ability and expertise. Second is the rationalization of the police personnel management system. A representative area of human resources management is promotion. This is because police officials, unlike other organizations, are a vertical class culture and have a large difference in authority and responsibility for performing their duties depending on the class. Therefore, measures should be devised to increase the rationality of the performance evaluation system and the fairness of promotion.

Performance Analysis of Internet Enterprises From the Perspective of ESG: A Case Study of NetEase

In recent years, corporate performance evaluation has been mainly focused on financial performance, and there are few studies on the construction of performance evaluation system containing non-financial indicators. Especially since the concept of ESG was put forward by the Financial Action Agency of the United Nations Environment Program in 1992, environmental, social and corporate governance have gradually attracted the attention of social investors. Internet technology has helped the rapid development of domestic economy. Taking NetEase as an example, this paper aims to combine the concept of ESG with the financial performance of enterprises, establish an ESG performance evaluation system of Internet enterprises, and evaluate the system. It is found that the ESG performance evaluation system is more effective than the traditional performance evaluation, and finally summarizes the experience and enlightenment of ESG performance implementation.

Performance evaluation and dimensional optimization design of planar 6R redundant actuation parallel mechanism

AbstractAiming at the problems of small good workspace, many singular configurations, and limited carrying capacity of non-redundant parallel mechanisms, a full-redundant drive parallel mechanism is designed and developed, and its performance evaluation, good workspace identification, and scale optimization design are studied. First, the kinematics analysis of the planar 6R parallel mechanism is completed. Then, the motion/force transmission performance evaluation index of the mechanism is established, and the singularity analysis of the mechanism is completed. Based on this, the fully redundant driving mode of the mechanism is determined, and the good transmission workspace of the mechanism in this mode is identified. Then, the mapping relationship between the performance and scale of the mechanism is established by using the space model theory, and the scale optimization of the mechanism is completed. Finally, the robot prototype is made according to the optimal scale, and the performance verification is carried out based on the research of dynamics and control strategy. The results show that the fully redundant actuation parallel mechanism obtained by design optimization has high precision and large bearing capacity. The position repeatability and position accuracy are 0.053 mm and 0.635 mm, respectively, and the load weight ratio can reach 15.83%. The research results of this paper complement and improve the performance evaluation and scale optimization system of redundantly actuated parallel mechanisms.

Comparative evaluation of experimental ejector refrigeration system for different operating configurations

In this study, a comparative performance evaluation of an experimental ejector refrigeration system was conducted for various operating modes. The experimental setup was operated in different modes: conventional vapour compression refrigeration (CVCR), conventional dual-evaporator system (CDES), and dual-evaporator ejector system (DEES). The system was tested under different operating conditions, including varying condenser temperatures and mass flow rates. The results of the evaluation showed that the highest total cooling capacity and coefficient of performance (COP) were achieved in the DEES mode, while the lowest total cooling capacity was observed in the CDES mode. The lowest compressor power was calculated when the system was operated in DEES mode. When the condenser temperature was 33°C, the compressor power obtained in the DEES was 22.7%, 5.4%, and 17.7% lower than that of the CVCRA, CVCRB, and CDES modes, respectively. In conclusion, the performance of the ejector-operated system was found to be superior to the other configurations, and the ejector contributed positively to the system performance.

Performance Evaluation of Cable Shaft Fireproof Sealing System in High-Rise Buildings: A Comparative Test Method

The effectiveness of fireproof sealing systems in preventing the spread of fire in high-rise building cable shafts relies on the properties of various sealing materials and the construction process. Therefore, a comprehensive evaluation is necessary. The authors of this paper propose a comparative test method based on an entity test platform for a performance evaluation of cable shaft fireproof sealing systems in high-rise buildings. The test platform measures changes in temperature, humidity, and smoke mass during fire tests to compare the performance of four sets of fireproof sealing systems in terms of thermal insulation, smoke sealing capacity, and overall integrity. In addition, a fire dynamics simulation (FDS) of fireproof sealing systems was carried out on the entity test platform, and the sealing failure process in the case of cracking in the fireproof sealing system was revealed. The simulation results for the temperature trends in the lower space align with the fire test results. Furthermore, as the gap size increases, the diffusion of smoke and flame accelerates. Consequently, the performance of cable shaft fireproof sealing systems depends not only on the sealing material but also on the construction process.

IMPLEMENTASI SISTEM INFORMASI AKUNTANSI, SISTEM PENGUKURAN KINERJA TERHADAP KINERJA MANAJERIAL PADA KOPERASI SIMPAN PINJAM

Technology is advancing at an ever-increasing rate these days, and accounting computation processes in businesses are no exception. Performance evaluation and accounting information systems are crucial components of managerial effectiveness in businesses. This is why the purpose of this study is to evaluate the accounting information system and the performance evaluation system in Mataram City's savings and loan cooperatives.

Augmenting cybersecurity in smart urban energy systems through IoT and blockchain technology within the Digital Twin framework

This research presents a comprehensive framework to enhance the cybersecurity and efficiency of smart urban energy systems by integrating cutting-edge technologies. Leveraging advanced evolutionary optimization techniques, specifically Covariance Matrix Adaptation Evolution Strategy (CMA-ES), the proposed system optimizes energy management and trading within urban infrastructure. Simultaneously, the integration of Internet of Things (IoT) devices enables real-time monitoring and decision-making, while blockchain technology ensures secure and transparent transactions. The study evaluates system performance by comparing it with traditional approaches, assessing key metrics such as convergence speed, exploration, exploitation, and cybersecurity. Results indicate that the proposed framework outperforms traditional systems in energy efficiency, cost-effectiveness, and cybersecurity metrics. This research offers valuable insights into integrating emerging technologies to address evolving challenges in smart urban energy systems. The findings highlight the potential of this innovative framework to revolutionize urban energy management, providing a foundation for more resilient, secure, and efficient smart cities. As the global urban landscape continues to evolve, this framework represents a strategic approach to meet the increasing demands for sustainable and secure urban energy solutions.

Multi-objective optimization and long-term performance evaluation of a hybrid solar-hydrogen energy system with retired electric vehicle batteries for off-grid power and heat supply

This paper presents a novel off-grid hybrid renewable energy system integrated with hydrogen production and retired electric vehicle (EV) batteries for combined power and heat supply to a small rural community. The system consists of photovoltaic (PV) panels, evacuated tube solar collectors, a proton exchange membrane fuel cell (PEMFC), an alkaline electrolyzer, compressed hydrogen storage tanks, and reused lithium-ion batteries from EVs. A new battery model is developed in the Transient System Simulation Program (TRNSYS) to capture the capacity degradation of retired batteries. A two-stage energy management strategy is proposed to regulate power flow and maximize solar energy utilization. The system is optimized for minimum power supply disruption, hot water supply disruption, energy waste, and annualized costs over a 20-year lifetime using a multi-objective NSGA-II algorithm coupling MATLAB and TRNSYS. Optimization results reveal tradeoffs between the competing objectives. Dynamic simulations show the water tank temperature fluctuates between 20 and 100 °C with mean values dropping slightly in later years due to battery degradation. Energy waste from components rises in later years for the same reason. The replacement interval for a retired EV battery module is around 2.5 years. The integrated system proves feasible for off-grid combined power and heat supply using solar energy and retired EV batteries as storage, though battery degradation impacts long-term performance.

Performance evaluation of distributed multi-agent IoT monitoring based on intelligent reflecting surface

The advent of intelligent reflecting surface (IRS) technology has revolutionized the landscape of wireless communication systems, offering promising opportunities for enhancing the performance of Internet of Things (IoT) applications. This paper presents a comprehensive performance evaluation of multi-agent IoT monitoring systems leveraging IRS technology. We focus on three criteria for selecting IRS units and assess the impact on system performance. Specifically, we analyze the system performance by deriving an outage probability expression for each criterion. Our study begins by introducing the concept of IRS and its role in IoT monitoring. We then present three IRS unit selection criteria: optimal selection (OS), partial selection (PS), and random selection (RS). For each criterion, we mathematically model and analyze the system outage probability, shedding light on the reliability and connectivity of IoT devices. The outage probability expressions derived in this work offer valuable insights into the trade-offs associated with IRS unit selection criteria in the context of IoT monitoring. Additionally, our findings contribute to the optimization of multi-agent IoT monitoring systems, enabling improved communication performance and enhanced reliability.