Performance Evaluation Of System Research Articles

Feasibility and performance evaluation of solar photovoltaic systems in diverse climatic regions of Algeria: energy, exergy, environmental, and economic approaches

Solar energy systems, particularly photovoltaic (PV) technology, still require some improvement based on weather data to effectively tackle challenges related to the energy crisis, costs, climate, and environmental changes. Algeria enjoys high solar intensity and ideal weather conditions throughout the day, but they are not effectively exploited yet. The main objective of this study is to evaluate the economic and environmental feasibility of solar PV systems under the climatic conditions of different regions in Algeria including Ghardaïa, Djelfa, and Algiers. These regions represent the different climatic conditions of Algeria because of their different climate and geographical location. Results showed that the maximum power output from the PV system was obtained in June for tested regions Algiers, Djelfa, and Ghardaïa with 14.64, 14.80, and 14.81 kW/month, respectively. In addition, Ghardaïa has the lowest unit cost of energy (0.24 USD/kWh), followed by Djelfa (0.2582 USD/kWh) and then Algiers (0.2587 USD/kWh) with rates of 7.58 and 7.79%, respectively. The minimum CO2 emissions were obtained during December, reaching 0.18, 0.16, and 0.20 kg CO2 in Ghardaïa, Djelfa, and Algiers, respectively. Finally, the analysis demonstrated that solar PV systems rare economically feasible, profitable, and environmentally friendly in Algeria, especially in the Ghardaïa region.

Fundamentals of System Design for Cardiac Pulsed Field Ablation: Optimization of Safety, Efficacy, and Usability.

The goal of a cardiac pulsed field ablation (PFA) system is to provide safe, effective, and usable therapy for the treatment of cardiac arrhythmias. Achieving this goal is a complex exercise in system design, requiring optimization of catheter, waveform, and dosing. This optimization is often iterative, as myriad design factors are balanced to achieve the goal while making use of computational modeling, bench testing, preclinical animal studies, and human clinical studies to evaluate system performance. It is important for both engineers and clinicians to understand the fundamentals of cardiac PFA system design in order to partner to continuously improve performance of this expanding ablation modality.

Investigation of Fatigue Performance for In-Service Asphalt Pavement Mixtures Using Push-Pull Fatigue Test

With the increasing service life of asphalt pavements, fatigue cracking has become a typical distress that significantly affects the structural lifespan of in-service asphalt pavements. To address the issues of high variability in laboratory fatigue tests and the poor correlation between test results and actual pavement cracking conditions, this study collected field core samples from in-service highways with varying degrees of cracking. The study employed push-pull fatigue tests on asphalt mixtures and linear amplitude sweep tests on extracted and recovered asphalt to evaluate fatigue performance. Quantitative relationships between transverse crack spacing and fatigue indices were established. With the inclusion of laboratory-compacted asphalt mixtures, the relationship between transverse crack spacing and the average pseudo-stiffness degradation rates was well described by a logarithmic function (R2 = 0.928), while the apparent damage capacity achieved a stronger correlation (R2 = 0.945). The findings demonstrate that the push-pull fatigue test, based on a viscoelastic continuum damage model, shows high stability and repeatability, with the coefficients of variation for the indices consistently below 11%. Compared to the average pseudo-stiffness degradation rates, the apparent damage capacity demonstrates better discriminative capability as an evaluation index for the intermediate-temperature fatigue performance of asphalt mixtures. The fatigue life from linear amplitude sweep tests on extracted and recovered asphalt from core samples shows a high degree of consistency with the patterns observed in various parameters of push-pull fatigue tests. The findings confirm the reliability of the push-pull fatigue test for evaluating intermediate-temperature fatigue performance of asphalt mixtures and provide the necessary theoretical support for establishing a fatigue performance evaluation system for in-service asphalt pavements.

Experimental analysis and performance evaluation of a solar PV-driven diffusion absorption refrigeration system

Experimental analysis and performance evaluation of a solar PV-driven diffusion absorption refrigeration system

Field test and long-term heat extraction performance evaluation of the deep U-type borehole heat exchanger system

Field test and long-term heat extraction performance evaluation of the deep U-type borehole heat exchanger system

Parallelized Event Data Management System Based on MT-SNiPER Framework and PODIO

Software framework serves as a skeleton for the offline data processing software for many high energy physics (HEP) experiments. The event data management, including the event data model (EDM), transient event store and data input/output, implements the core functionalities of the framework, and has a great impact on the performance of the entire offline software. Future HEP experiments are generating increasingly large amounts of data, bringing challenges to offline data processing. To address this issue, a common event data management system that supports efficient parallelized data processing applications has been developed based on Software for Non-collider Physics ExpeRiments (SNiPER) common software framework as well as PODIO, a common EDM toolkit for future HEP experiments. In this paper, the implementation of a parallelized event data management (PEDM) system is introduced, including the integration with MT-SNiPER and PODIO, as well as the implementation of GlobalStore to support multi-threaded event processing. Finally, the application and performance evaluation of the data management system in OSCAR (offline software of Super Tau Charm Facility) is presented.

The Influence of Leadership Style, Work Facilities, and Salary on Employee Motivation

This study aims to analyze the influence of leadership style, technology-based work facilities, and salary systems on employee work motivation at PT. Elektrindo Sarana Abadi. In a volatile economy, companies must maintain the stability and sustainability of their operations. The workforce is a key element in achieving organizational goals, and an adaptive leadership style, adequate work facilities, and a fair compensation system greatly influence work motivation. This study uses a quantitative approach with the Multiple Linear Regression Analysis method using SmartPLS ver.4. The research sample consisted of 100 respondents who were employees of PT. Elektrindo Sarana Abadi. The study results show that digital leadership style, work facilities, and salary significantly influence employee work motivation. Simultaneously, these three variables also have a significant effect on work motivation. These findings underscore the importance of developing leadership training programs to improve managerial skills and employee motivation, periodic audits and improvements to work facilities, and adjustments to salary structures and incentive systems so employees feel financially valued. In addition, implementing a regular performance evaluation system and the use of feedback from employees for continuous improvement are highly recommended. The study concludes that flexible and adaptive leadership approaches, adequate work facility support, and a fair compensation system are crucial in increasing employee motivation in an increasingly technology-connected work environment. Further research is suggested to explore other factors influencing work motivation and expand the research object to different industry contexts.

Tropospheric ozone sensing with a differential absorption lidar based on a single CO2 Raman cell

Abstract. This study presents the development and performance evaluation of an ozone differential absorption lidar system. The system could effectively obtain vertical profiles of lower-tropospheric ozone in an altitude range of 0.3 to 4 km with high spatiotemporal resolutions. The system emits three laser beams at wavelengths of 276, 287 and 299 nm by using the stimulated Raman effect of carbon dioxide (CO2). A 250 mm telescope and a grating spectrometer are used to collect and separate the backscattering signals at the three wavelengths. Considering the influences of aerosol interference and statistical error, a wavelength pair of 276–287 nm is used for the altitude below 600 m and a wavelength pair of 287–299 nm is used for the altitude above 600 m to invert ozone concentration. We also evaluated the errors caused by the uncertainty of the wavelength index. The developed ozone lidar was deployed in a field campaign that was conducted to measure the vertical profiles of ozone using a tethered balloon platform. The lidar observations agree very well with those of the tethered balloon platform.

Viable industrial supplier performance evaluation using fuzzy inference system: a case of the automotive industry

Purpose As the global focus on supply chain management has shifted toward the importance of digitalization, resilience and sustainability to ensure viability, this paradigm merits special consideration in the industrial supplier selection process in a VUCA (Volatile, Uncertain, Complex and Ambiguous) world. Additionally, the increasing geopolitical challenges further complicate the industrial supplier selection process, necessitating robust decision-making frameworks. Thus, this paper aims to present a decision-making system using a fuzzy inference system (FIS) for industrial supplier evaluation and selection, considering a new criterion: viability. Design/methodology/approach Fuzzy set theory, particularly a FIS, is used to address the subjectivity of decision-makers’ preferences. The suggested method’s validity is evaluated using a real automotive case study for industrial supplier selection situations. Findings Seventeen key criteria for viable industrial supplier selection were identified and used to evaluate and select the case study firm’s industrial supplier. The chosen supplier (B) demonstrated superior resilience, sustainability and digitalization capabilities, making it preferable to others. Specifically, supplier (B) exhibited exceptional adaptability to disruptions, a strong commitment to sustainable practices and advanced digital integration that enhances operational efficiency. Practical implications This study provides valuable insights for researchers and professionals by proposing a comprehensive industrial supplier selection system. Integrating diverse criteria is essential for viable performance in supply chains that enhances robustness and adaptability, supporting more strategic decision-making in supplier evaluation amid global and network-related challenges. Originality/value This novel paper introduces a new criterion, i.e. viability, in the industrial supplier selection process in the VUCA environment. In addition, it proposes a decision-making system for viable supplier performance evaluation. Furthermore, it validates the proposed FIS in an automotive case study.

Developing a Chatbot System for PT. NG Tech Supplies based on the Python Flask Framework

This study focuses on developing and implementing a chatbot system using the Python Flask framework to enhance customer service efficiency at PT. NG Tech Supplies. The chatbot is designed to provide fast and accurate responses to customer inquiries, leveraging artificial intelligence and natural language processing technologies. The development follows a systematic approach using the Waterfall methodology, encompassing requirements analysis, design, implementation, verification, and maintenance. Key features include seamless integration with order management and CRM systems, enabling real-time updates on product and order status. Black-box testing was conducted to evaluate system performance, demonstrating an average response time of less than 2 seconds and high accuracy in handling queries. The chatbot also supports a well-organized folder structure in cPanel, ensuring efficient management and scalability. This research highlights the chatbot's potential to automate repetitive tasks, reduce workload, and improve customer satisfaction through enhanced service delivery.

Breast ultrasound imaging systems performance evaluation using novel Contrast-Detail (C-D) and Anechoic-Target (A-T) phantoms.

C-D and A-T phantoms were imaged using a range of clinical breast ultrasound systems and imaging modes. A novel sensitive imaging performance metric, the Detectability Score (DS), was proposed which encompasses the Lesion Contrast to Noise Ratio (LCNR) weighted by the lesion depth and diameter. A geometry-based theoretical model comparing LCNR measured using spherical and cylindrical phantom anechoic/lesion targets was developed to investigate the influence of slice thickness on focal lesion detectability. LCNR and DS metrics derived from phantom image measurments were capable of differentiating the imaging performance of a range of ultrasound systems and advanced imaging modes, with the -2 dB contrast lesion targets offered as the most challenging to resolve. The geometry-based theoretical model, validated against phantom measurements, demonstrated the significant influence of slice thickness on focal lesion detectability, highlighting the need for increased availability of low contrast resolution spherical target phantoms for clinically realistic performance evaluation. The performance metrics coupled with the -1 dB contrast targets provide scope for evaluating future technological improvements in ultrasound systems. Given the high dependence of breast cancer care on high quality ultrasound imaging techniques, there is a need for evaluating imaging performance using clinically relevant test objects.

Optimization and Performance Evaluation of Photovoltaic Thermal System with Varying Nanofluids and Environmental Parameters by Taguchi Technique

Optimization and Performance Evaluation of Photovoltaic Thermal System with Varying Nanofluids and Environmental Parameters by Taguchi Technique

Year-round performance evaluation of a solar-powered compact HDH desalination system for remote water scarce regions

ABSTRACT Climate change is intensifying global hydrological stress, increasing evaporation, degrading water quality, raising water temperatures, and altering runoff periods. This study introduces a fully solar-powered humidification-dehumidification (HDH) desalination system designed to address water scarcity in remote and arid regions. The significance of the research lies in its potential to provide a sustainable, off-grid water supply using renewable solar energy, which is particularly relevant in areas with limited infrastructure. The aim of the study is to evaluate the year-round performance of the system by developing a comprehensive mathematical model based on mass, energy, and momentum conservation equations. The model simulates the system’s behavior under varying solar conditions, enabling the optimization of key parameters. The system combines thermal photovoltaic panels and evacuated tube solar water collectors, enhancing energy efficiency through the pre-heating of seawater. The model is implemented in MATLAB, and the performance is evaluated over a full annual cycle. Results show that the system achieves a peak efficiency of 42% during high solar months, with monthly productivities of up to 238.87 L/m2, while the lowest performance occurs in December, with 14% efficiency and 63.02 L/m2 productivity. These findings underscore the system’s capability to provide a sustainable water source year-round.

ESMIoTHD: ENHANCED BLOCKCHAIN SECURITY AND MANAGEMENT FOR IOT-BASED HEALTHCARE DATA, A ROBUST FRAMEWORK FOR TRUST AND INTEGRITY

The primary focus of the study, entitled “Enhanced Blockchain Security and Management for IoT-Based Healthcare Data: A Robust Framework for Trust and Integrity”, was to determine the performance of four encryption algorithms, SADBTM, ECSBFQL, HBDMS, and ESMIoTHD, regarding their encryption and decryption times, average latency, and packet delivery ratio on different data sizes. It can be seen that employing blockchain security and management increases the security of IoT-based healthcare data. Consequently, this ensures that healthcare data can be linked to the confidentiality, integrity, and availability that remains central in today’s digitally interconnected world. Since the blockchain is a decentralized medical data-sharing tool that is impossible to alter, it is more secure due to guaranteed no potential unauthorized access to the data. Additionally, as indicated in the results during the performance evaluation of the blockchain systems in IoT healthcare networks, it was possible to improve patient data privacy, make data access easier, and ensure the trustworthiness of the healthcare systems. For instance, according to the study’s results, the encryption and decryption times had been computed in terms of milliseconds. The range of the data size was from 10 kilobytes to 100 kilobytes. When 100 data points had been encrypted, the ESMIoTHD had the lowest encryption time, namely, 12363 m, as compared to its encryption peers which include 13232 m, 13854 m, and 14376 m SADBTM, ECSBFQL, and HBDMS, respectively. Conversely, the results regarding the decryption times revealed a similar pattern to the encryption times. That is there was no significant deviation between the three encryption algorithms with the values being 13232 m, 13854 m, and 14376 m; however, ESMIoTHD had a decryption time of 13232 m. The average latency had been calculated in terms of milliseconds (m), whereby the results showed that ESMIoTHD has equivalent performance and its average latency was closest to its peers, such as 808 m for 100 data points. The packet delivery ratio had been computed in terms of percentages. Both the encryption and decryption algorithms had a similar pattern as they had been assessed based on the three results. However, the results show that ESMIoTHD had the highest PDR values in all data sizes, for example, the PDR was 98.896% for a 100 kb data size, which was far much higher than its peers. Based on the results of ESMIoTHD being the most efficient and reliable, particularly in terms of high throughput and low latency, these outcomes show that it is one of the leading encryption algorithms.

The Effect of Managerial Support on Employee Creativity: A Study on Aircraft Maintenance Personnel

This study aims to examine the effect of managerial support on employee creativity in SHY-145 approved aircraft maintenance organizations operating in Turkey and authorized by the Directorate General of Civil Aviation (DGCA). A quantitative research method was adopted in the study and a relational survey model was used. Data were collected from 362 technical personnel selected by convenience sampling method. A questionnaire form consisting of three sections was used as a data collection tool, and in addition to demographic information, Manager Support Scale and Employee Creativity Scale were applied. According to the regression analysis results, managerial support has a positive and significant effect on employee creativity. Analyses conducted according to demographic variables revealed that both managerial support and employee creativity variables did not show a significant difference according to gender, marital status, age and professional experience groups. In line with the results of the study, it is recommended that creative leadership training programs should be organized for managers in aircraft maintenance organizations, formal mechanisms should be established where technical personnel can share their creative ideas, performance evaluation systems should be restructured to encourage creative thinking, and regulations should be included in DGCA regulations to encourage creative thinking. In future studies, it is suggested investigating the moderating effects of variables such as organizational culture, technological competence and job security climate and conducting comparative studies covering aircraft maintenance organizations in different countries.

Evaluation of Variable Frequency Drive System in Pumping Stations of Irrigation Networks Using INACSEM Model

ABSTRACTLimited resources for the construction of new irrigation networks and low performance of most of them have led to more attention to evaluate and improve the performance of networks. The use of automated systems to improve performance and increase flexibility in irrigation networks is expanding. Regarding the variety of equipment, algorithms and applications of various automated systems in different parts of irrigation networks, it is necessary to develop performance evaluation models that include all aspects of automation. In this research, the irrigation networks automatic control system evaluation model (INACSEM) has been prepared using the classical evaluation method to assess automated control systems in irrigation networks. In this model, evaluation includes both technical and general approach. The technical point of view includes the types of equipment, software and automated control structures and their application in different stages of operation in different parts of the network and the general approach, which includes the general aspects of evaluation, mainly the managerial, social, economic and environmental point of views. The remote‐control system [by variable frequency drive (VFD)] installed in the pumping stations of Moghan plain was examined in order to show the application of the developed model. The results of performance evaluation of the automatic system show a performance of 82% with a validity of 74% in the pumping stations of Moghan plain. The results indicate the suitability of the model for evaluating automated systems in irrigation networks. Considering all aspects of automation, it also shows the problems of its components.

A Review Study on the Construction of Medical Institution Service Quality Performance Evaluation System under the Background of Internet Plus

With the advent of the "Internet Plus" era, the medical service industry is undergoing a significant transformation. This paper systematically reviews and analyzes the construction process of the medical institution service quality performance evaluation system, aiming to provide theoretical support and practical guidance for the improvement of service quality in internet hospitals. The article first introduces the challenges and opportunities faced by the medical service industry under the "Internet Plus" background, then discusses the definition, dimensions, and theoretical framework of medical service quality evaluation. Through a comparative analysis of the service quality evaluation systems of Chinese and American medical institutions, the similarities and differences in the construction of medical service evaluation systems between the two countries are revealed. Finally, based on the "Internet Plus" background, the paper proposes principles, objectives, indicator system design, and implementation and feedback mechanisms for constructing a service quality performance evaluation system. The research results indicate that constructing a comprehensive and objective service quality evaluation system is of great significance for optimizing resource allocation, innovating service models, improving service efficiency, and reducing service costs, which helps to promote the implementation of the Healthy China strategy.

Performance Evaluation of Ceiling Cooling with PCM in the Hot-Dry Climate of Yazd, Iran: An Experimental Analysis of Energy, Environmental, and Economic Impacts

The present study investigates experimental cooling from the ceiling using phase change materials (PCMs) in Yazd, a city characterized by a hot and dry climate. A one-fourth scale model of a real room, measuring 4 m × 3 m × 3 m, was employed for the analysis. To evaluate system performance and the impact of PCM on energy consumption reduction, three configurations were considered: a simple PCM system, a PCM system with a fan (PCM-F), and a PCM system with a mini cooler (PCM-C). Additionally, to assess the influence of window configurations on ventilation, temperature, and comfort conditions within the model, three scenarios were examined: two open windows, one open window, and no windows. The economic analysis compared the two systems with the fan and mini cooler against a full mechanical cooling system without PCMs. Furthermore, CO2 emissions and environmental impacts associated with the systems were also evaluated. The results indicate that the presence of PCMs in the ceiling, due to heat absorption during phase change, leads to a temperature reduction of 5 to 10 °C in the ceiling and a 3.2 °C reduction in the average room temperature compared to the scenario without PCMs. The findings demonstrate that ceiling cooling with PCMs significantly contributes to energy consumption reduction during peak hours of cooling demand. Specifically, the PCM-F system results in a 92% reduction, and the PCM-C system leads to a 71% reduction in total cost compared to the reference mechanical cooling system. Additionally, the PCM-F system achieves approximately a 36% reduction, and the PCM-C system results in a 34% reduction in environmental impact relative to the reference full mechanical cooling system.

Challenges and Opportunities in Human Resource Management in Indonesian Law Enforcement: A Literature Review

Law enforcement in Indonesia faces complex challenges, such as a lack of human resource competency, weak inter-agency coordination, and the impact of decentralization that hampers the effectiveness of institutions such as the police and the Corruption Eradication Commission. This study uses a literature review approach based on the Strategic Human Resource Management (SHRM) theory to explore the challenges and opportunities in human resource management in law enforcement. The research data were collected from literature originating from the Scopus database, focusing on geographically relevant articles (Indonesia) and published from 2000 to the present. The results of the study indicate that performance-based reforms, investment in training, utilization of digital technology, and strengthening inter-agency coordination can improve the effectiveness of human resource management. A humanistic approach to HRM can also strengthen personnel motivation and efficiency. Theoretically, this study enriches the literature on human resource management in developing countries. In contrast, managerially, this study offers practical recommendations for improving the recruitment, training, and performance evaluation systems in Indonesian law enforcement institutions.

Simulation Framework for Detection and Localization in Integrated Sensing and Communication Systems

Integrated Sensing and Communication (ISAC) systems have emerged as a key component for Sixth Generation (6G) networks, enhancing resource efficiency and enabling diverse applications. Currently, ISAC systems have been recognized as a leading trend for future standardization, i.e., International Mobile Telecommunications (IMT)-2030. As in the previous IMT-2020 standardization, the emphasis has been on developing a methodology for assessing network conditions, with one of the crucial approaches incorporating system-level simulations. However, within this framework, there has been a notable absence of proposed abstractions for the physical layer of ISAC systems, which are valuable for system-level simulators. The physical abstraction process helps reduce computational simulation costs, enabling efficient and rapid evaluation of system conditions. Therefore, this paper aims to fill this gap by outlining the key aspects and metrics recommended for a physical layer abstraction in sensing applications within ISAC frameworks. Applying physical abstraction in the context of target localization and detection algorithms may enable an initial understanding and evaluation of ISAC system performance. These algorithms are proposed as an example of simulating the sensing functionalities to be abstracted, which are based on a stochastic geometric channel model. Orthogonal Frequency Division Multiplexing (OFDM) symbols play a crucial role in target position estimation. The findings show that doubling OFDM symbols improves the detection probability by 3 dB in terms of Signal to Noise Ratio (SNR). Finally, the proposed Physical Layer Abstraction (PLA) method produces performance metrics as figures and lookup tables tailored for system-level simulators.