Performance Evaluation Of Services Research Articles

Service performance evaluation of light-transmitting concrete lane markings on highways based on accelerated pavement testing

Applying light-transmitting concrete (LTC) to highway lane markings is a novel idea to increase the visual recognition distance and promote traffic safety. However, compared to its excellent visual recognition performance, its service performance has received little attention in the current research. This paper conducted an accelerated pavement test to investigate the behaviour of rutting depth, British Pendulum Number (BPN) and water permeability coefficient of the LTC lane markings. The results show that rutting depth of LTC is lower than that of asphalt pavement. As a result, small height steps appeared at the seam of the two parts. For the anti-sliding performance represented by the BPN, the BPN of LTC gradually exceeds asphalt pavement and maintains a slightly higher value. For the water permeability coefficient, the LTC is almost un-permeable, avoiding water damage during service. According to these findings, the LTC lane markings meet the requirements of highway service performance. .

Fatigue test and service performance evaluation of high-speed train hanging equipment bolts

The high-speed train hanging equipment may extend maintenance cycle, prompting an urgent need for bolt service performance evaluation. In this paper, the hanging bolts of the hanging equipment of high-speed trains are taken as the research object, and accelerated fatigue tests of the hanging bolts under five alternating loads are designed and carried out. The SN curves of the bolts under axial loads are obtained with the Goodman modified equation and double logarithmic linear regression analysis, which provides a basis for acquiring the cycle life under different real vehicle loads. A tracking test system for real trains was established, and vibration acceleration data of four types of hanging equipment were obtained when the high-speed train was running on the Beijing-Shanghai high speed railway. An averaging method based on supervised classification was proposed, and the average daily acceleration load spectrum of different hanging equipment with cycle characteristics of 1.2 million km was constructed to provide data support for service mileage evaluation. A service mileage evaluation model of the hanging bolts based on the fatigue life model, Miner's rule and train dispatching rules was proposed. Moreover, the service mileage evaluation of four types of hanging bolt equipment was completed to provide an important reference for the formulation of a bolt repair system for the hanging bolt equipment of high-speed trains.

Differences in inpatient performance of public general hospitals following implementation of a points-counting payment based on diagnosis-related group: a robust multiple interrupted time series study in Wenzhou, China

ObjectivesThis study measures the differences in inpatient performance after a points-counting payment policy based on diagnosis-related group (DRG) was implemented. The point value is dynamic; its change depends on the...

A Modular IoT-Based Architecture for Logistics Service Performance Assessment and Real-Time Scheduling towards a Synchromodal Transport System

Logistics is significantly impacted by quality/quantity issues associated with data collection and data sharing restrictions. Nonetheless, public data from national entities and internet-of-things (IoT) solutions enable the development of integrated tools for performance analysis and real-time optimization of logistics networks. This study proposes a three-module data-driven system architecture that covers (a) logistics data collection tools, (b) logistics services performance evaluation, and (c) the transition to synchromodal systems. Module 1 integrates multisource data from national logistics platforms and embedded devices placed within intermodal containers. A multigraph representation of the problem is conceived. Environmental, economic, and operational data are generated and injected into a digital twin. Thus, key performance indicators (KPIs) are computed by simulation or direct transformation of the collected data. Module 2 uses Multi-directional Efficiency Analysis, an optimization algorithm that benchmarks multimodal transportation routes of containers using prior KPIs. Outputs are a technical performance index relevant to logistics clients and improvement measures for logistics service providers. A real case study application of the solution proposed for Module 2 is presented. Module 3 provides real-time scheduling and assignment models using CP-sat solvers, accommodating varying system dynamics and resource availability, minimizing makespan and operational costs.

Performance evaluation of a firewall service based on virtualized IncludeOS unikernels

Network function virtualization technology has long moved beyond the experimental phase to become a standard in the implementation of modern telecommunications networks. It is anticipated that in the near future all network services will be implemented in software based on cloud-native architecture. As a result, telecommunications service providers have started exploring containers and unikernels as alternative technologies to traditional virtual machines. This paper presents performance evaluation of a firewall service based on IncludeOS unikernels. It shows that IncludeOS unikernels achieve promising performance results compared to Ubuntu-based virtual machines and containers. The presented evaluation is based on a number of experiments and benchmarks performed to investigate how different parameters of a firewall service change depending on the number of firewall rules.

Performance evaluation of Internet medical service based on network big data--Take Good Doctor Online as an example

In order to develop new economic and social forms in a wide range, China has been actively promoting the ‘Internet +’ action to encourage the deep integration of the Internet and various fields. However, the performance of the Internet platform built in various fields has always been a difficulty in assessment and evaluation. Taking the ‘Internet + Medical’ Good Doctor Online platform as an example, this paper explores how the ‘Internet +’ platform conducts data collection, data cleaning, data conversion, data regulations and data visualization, thus exploring a general approach for the performance evaluation of the ‘Internet +’ platform. Based on this performance evaluation approach, this paper thinks that the performance of Good Doctor Online platform is good, but in order to promote the comprehensive development of Internet medical service, there are still some possibilities of improvement, such as standardization of subject classification, reasonableness of doctors resources distribution in different areas, sustainability of health insurance settlement and satisfaction enhancement, etc.

Measuring digital government service performance: Evidence from China

Digital services of the public sector are regarded as one of the most crucial aspects of the administrative system's reform. However, empirical studies on digital services are insufficient, especially for service performance evaluation. This paper establishes a conceptual framework to model service performance with quantity and quality output measures. Based on the panel data of Chinese cities from 2017 to 2020, we employ a one-step stochastic frontier analysis (SFA) to estimate the city's digital government service efficiency (DGSE) and examine its drivers. The findings suggest that the proposed analytical framework is applicable to the public sector performance measurement when quantitative and qualitative outputs are considered. Second, Chinese cities' DGSE levels ranged from 0.149 to 0.999, with a mean of 0.798. The DGSE score also shows significant spatio-temporal heterogeneity, with the eastern area performing best, followed by the middle and western regions, and the northeastern region performing the worst. Further, exogenous factors such as fiscal decentralization, public-private partnership, urban scale, the mayor's ability, and policy intervention substantially affect the DGSE level. The results have significant policy implications for governments' digital transition in the ongoing global digital era.

Evaluating service performance at a community health center: Promethee and Lean Service methodologies

Evaluating service performance at a community health center: Promethee and Lean Service methodologies

Interaction Between the Imperial Examination System and Politics and Its Limitations

The imperial examination system has been deeply influenced by the country's system category, historical tradition, and political system, which also determines its limited historical and realistic role in the political system. The imperial examination system extended the selection of officials to the whole society, provided a relatively fair opportunity for China's intellectuals to compete, and gave the country a wide range of political talents and a stable system. The civil service performance evaluation system established on this basis also has a positive reference value for curbing corruption. The imperial examination system in ancient China is an important system in Chinese history, which is an important part of ancient Chinese culture and an important symbol of Chinese history. This paper studies its profound influence and enlightenment on Chinese history and culture. At the same time, the paper studies that the imperial examination system is an important part of Chinese history and culture, which promotes the development of Chinese bureaucracy, cultivates Chinese cultural tradition, promotes social mobility and social progress, and also highlights China's cultural self-confidence and cultural consciousness. While the imperial examination system is an education based on political needs, after education it can impact politics, which forms a circular structure. This reflects interactions between the imperial examination system as the carrier of ' education' and politics. However, in ancient China there will inevitably be some limitations.

Performance evaluation of physiotherapy service of the State budgetary healthcare institution «Leningrad regional center of specialized types of medical care» (SBHI Lenoblcenter) for 2018– 2022

The paper considers the evaluation of the performance of the physiotherapy service of the SBHI Leningrad Regional Center of Specialized Types of Medical Care (SBHI LenoblCenter) for the last five years. The results of the analysis of the work of the physiotherapy unit of the SBHI LenoblCenter from 2018 to 2022 are presented. The methodology for calculating the structure of physiotherapy procedures is presented, and intensive, extensive, and basic physiotherapy ratio indices are estimated. The problems of the legal and regulatory framework of physiotherapy service in the field of dermatovenerology are outlined. The impossibility of purchasing high-tech physiotherapy equipment for phototherapy (phototherapy cabin) in current conditions is displayed. Positive trends in the development of physiotherapy service of the SBHI LenoblCenter are shown.

Radiation Dose Tracking in Digital Mammography: Evaluation of Population Profiles through Automatic Data Extraction from the DICOM Header

International regulatory organizations for quality control of X-ray systems, such as the International Atomic Energy Agency (IAEA), have implemented protocols for acceptance testing of digital mammography and breast tomosynthesis equipment, aiming to establish quality standards in radiology services. However, these guidelines are usually based on tests with breast phantoms with standardizedthicknesses and compositions, often not representative of the patient population profiles at those services. In a prior study, we developed a computational system designed to automatically tracking and managing data extracted from the image acquisition processes of digital mammography and breast tomosynthesis, stored on a DICOM SCP (Service Class Provider) server. This approach enables obtaining technical reports characterizing exposure parameters and tests have shown that the reference levels outlined in international standards for breast composition and radiation dose do not accurately reflect the characteristics of the actual patient population. Thus this study describes data collection and corresponding analysis for the dose tracking process primarily on three digital mammography systems of different radiological services. Extensive image datasets from these systems were obtained using a new application described previously, with a focus on dose profiles generated during exposures. Graphical representations resultingfrom the datasets are presented, along with analysis of skin entrance and mean glandular doses distributions, average kV and mAs applied during the exams together with the target/filter combinations, radiographic density distribution, as well as the age and breast thickness characteristic of the respective population submitted to exposures in each of those mammography services. Additionally, the extent of information and ease of acquisition provided by the tool for performance evaluation of digital mammography services is discussed

The construction of a shared resource base of enterprise financial informationization for intelligent terminal platform

Abstract This paper uses an adaptive load-balancing algorithm to calculate an intelligent terminal platform on the basis of an enterprise financial information-sharing model. Firstly, a new server performance evaluation index is established based on the hierarchical analysis method, and the load performance of each node is reacted using the influence factors. Then a judgment matrix is constructed for the set of evaluation factors based on the change in the average load utilization rate of nodes. Finally, the results of the matrix are normalized to derive the evaluation weights of each node of the server, which completes the construction of the intelligent terminal platform. An enterprise’s quarterly bills for 2018-2020 were selected for analysis, and after running the financial information sharing, the processing time of a single voucher could be saved by 0.3 hours. It shows that the constructed information-sharing resource base can not only significantly reduce operation costs but also access the business data of subsidiaries at any time to effectively prevent operation risks.

The supplier performance evaluation of sports event service under the COVID-19 outbreak: A novel hesitant fuzzy MARCOS method

Under the COVID-19 pandemic, sports event is facing enormous challenges. Logistics and security are affected seriously. The ability of service suppliers to deal with uncertainty is critical. Considering complex uncertainty, evaluating the service suppliers of sports events is reasonable. This study proposes a new framework for selecting sports suppliers, which combines a hesitant fuzzy set (HFS) and Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS) method. MARCOS is based on determining the reference values of alternatives about the ideal and is a comprehensively rational and reasonable application methodology. HFS has the advantage of expressing fuzzy and hesitant evaluation information, which is seldom used in the MARCOS framework. A case study of a sports supplier selection for the 2022 China National Youth U Series Floorball Championship is given to demonstrate the practicability of the proposed approach. Finally, a comprehensive sensitivity analysis is performed to verify the proposed methodology’s stability and effectiveness.

GRA-Based Dynamic Hybrid Multi-Attribute Three-Way Decision-Making for the Performance Evaluation of Elderly-Care Services

As an important branch of modern decision-making theory, multi-attribute decision-making (MADM) plays an important role in various fields. Classic MADM methods can provide a ranking of alternatives, and decision-makers need to evaluate the level subjectively based on the ranking results. Because of the limitation of knowledge, this is likely to lead to potential individual losses. Three-way decision (3WD) theory has good classification ability. Therefore, this paper proposes a dynamic hybrid multi-attribute 3WD (MA3WD) model. First, a new scheme for constructing loss functions is proposed from the perspective of gray relational analysis (GRA), which is an accurate and objective way to describe the relationship between loss functions and attribute values. Then, conditional probabilities are determined by employing the gray relational analysis technique for order preference by similarity to the ideal solution (GRA-TOPSIS). With these discussions, a GRA-based hybrid MA3WD model for a single period is proposed by considering multi-source information. Furthermore, by extending the single-period scenario to a multi-period one, we construct a dynamic hybrid MA3WD model, which can obtain the final three-way decision rules as well as the results of each period and each attribute. Finally, the proposed method is applied to the case of performance evaluation of elderly-care services to demonstrate the effectiveness of the method, and comparative analyses are given to verify the superiority of the proposed method.

Transport of Organic Contaminants in Composite Vertical Cut-Off Wall with Defective HDPE Geomembrane.

Soil-bentonite vertical cut-off wall is an emergency technique used for contaminant control in geo-environmental engineering, high-density polyethylene (HDPE) geomembrane (GM) with an extremely low-permeability coefficient is expected to enhance the contaminant barrier effect of the vertical cut-off wall. To evaluate the barrier performance of the composite barrier composed of GM and soil-bentonite mixture towards organic contaminant, while also quantitively revealing the impact of GM defects and placement, a one-dimensional transport model for organic contaminants in composite barrier is solved under semi-infinite boundary conditions. The proposed transport model is validated by numerical simulations using COMSOL Multiphysics 5.4, and the effects of GM defect rate, placement within the composite isolation wall, and contact level with soil-bentonite on contaminant transport behavior are further studied. The results show that as the average frequency of GM defects increases from 2.5 to 50 holes per hectare, the breakthrough time of organic contaminants through composite barrier decreases by almost 70%. Poor contact level between GM and soil-bentonite mixture may reduce the breakthrough time of the composite cut-off wall by 65%. Although the selection of GM placement has limited impact on the transient flux of contaminants, it does affect the total flux of contaminants over a certain period of time. The effects of permeability coefficient, effective diffusion coefficient, distribution coefficient, and hydraulic head of the composite cut-off wall can be considered by the proposed analytical solution, which would provide guidance and reference for the design and service performance evaluation of the composite cut-off wall.

An Evaluation of e-Health Service Performance through the Integration of 5G IoT, Fog, and Cloud Computing.

In recent years, Internet of Things (IoT) advancements have led to the development of vastly improved remote healthcare services. Scalability, high bandwidth, low latency, and low power consumption are all essential features of the applications that make these services possible. An upcoming healthcare system and wireless sensor network that can fulfil these needs is based on fifth-generation network slicing. For better resource management, organizations can implement network slicing, which partitions the physical network into distinct logical slices according to quality of service (QoS) needs. Based on the findings of this research, an IoT-fog-cloud architecture is proposed for use in e-Health services. The framework is made up of three different but interconnected systems: a cloud radio access network, a fog computing system, and a cloud computing system. A queuing network serves as a model for the proposed system. The model's constituent parts are then subjected to analysis. To assess the system's performance, we run a numerical example simulation using Java modelling tools and then analyze the results to identify the key performance parameters. The analytical formulas that were derived ensure the precision of the results. Finally, the results show that the proposed model improves eHealth services' quality of service in an efficient way by selecting the right slice compared to the traditional systems.

The impact of digital information treatment on the evaluation of service performance of agricultural extension agents

A randomized survey experiment was used to investigate the influence of digital information treatment on the subjective attitudes of agricultural extension agents. The objective was to explore the influence and mechanism of the digital economy on agricultural extension performance. This paper sets up the digital economy as a counterfactual information treatment. The sample was split into two groups using group randomization according to the location and type of unit where the agricultural extension agents were stationed. When responding to questions about the issues encountered, the randomly chosen treatment participants were informed of the numerous changes and implications the digital economy would bring to agricultural extension. In contrast, the control group answered the same questions without receiving the treatment information. The empirical results indicate that digital information treatment significantly affected agricultural extension agents’ preferred choice of extension service supply. Also, the recognition of the impact of actions to innovate the service mode and enhance the service capability of agricultural extension agents was much enhanced by the use of digital information treatment. The type of units dispatched and the scale of production of service recipients have significant moderating effects. Digital information treatment has a greater influence on the attitude of specialists from universities and research institutes and those whose service recipients are small farmers. The paper highlights the important role of government in the development of the digital economy by actively providing digital public goods for agricultural extension services.

Materials Optimization and Service Performance Evaluation of a Novel Steel Bridge Deck Pavement Structure: A Case Study

Although the double-layer pavement structure with a top layer of stone mastic asphalt concrete (SMAC) and a bottom layer of epoxy asphalt concrete (EAC) has been confirmed to have excellent overall performance in the laboratory, there is a lack of comparison and verification in practical projects. Hence, the utilization of the SMAC + EAC structure in this steel bridge deck pavement (SBDP) practical project and the clarification of its service performance are of significant importance for facilitating the promotion and application of this novel structure. This study relied on an SBDP reconstruction project in Ningbo, China. Indoor performance tests were used to determine the appropriate material compositions for SMAC and EAC. Subsequently, both ERS and SMAC + EAC pavement structures were paved in the project, and the service conditions of the different pavements after one year of operation were tested and compared. The results indicated that the epoxy SBS asphalt (ESA) binder prepared by substituting SBS-modified asphalt binder for the base binder, exhibited improved mechanical strength and toughness. The variation of modifier content significantly affected the high-temperature stability, low-temperature crack resistance, and moisture damage resistance of epoxy SBS asphalt concrete (ESAC) and high-viscosity SBS asphalt concrete (HSAC), while the gradation mainly influenced the skid resistance. The optimal contents of modifiers in ESA and HAS binders were finalized at 45 wt% and 11 wt%. After one year of operation on the trial road, the pavement performance of the SMAC + EAC structure had significant advantages over the ERS system, with all lanes having an SBDP quality index (SDPQI) above 90 and an excellent service condition. The successful application of the SMAC + EAC structure validated its applicability and feasibility in SBDP, which provided strong evidence for the further promotion of this structure.

Research and Application of the Original Position Statistical Distribution Analysis Method for Non-Metallic Inclusions in P91 Steel

Heat-resistant P91 martensitic steel is used to produce high-temperature steam pipelines in (ultra) critical power plants. However, non-metallic inclusions are inevitably produced in the metallurgical process. The type, composition, morphology, quantities, size and distribution of these inclusions have significant influences on the properties of materials. The present work developed an original position statistical distribution analysis method to characterize non-metallic inclusions in P91 steel based on scanning electron microscopy (SEM) with energy-dispersive spectroscopy (EDS). Two samples from P91 steel pipes fabricated by different processes were examined. The non-metallic inclusions in these samples could be divided into spherical oxides, strand-shaped oxides, spherical sulfides, spherical oxygen–sulfur compounds, strip sulfides and other inclusions. The amount, proportional area, particle sizes, original positions and statistical distribution results of non-metallic inclusions in different processed samples were assessed, and the causes and effects of these inclusions were analyzed. This novel method could provide diversified information on inclusions, which is helpful for the improvement of metallurgical processes and service performance evaluations.

Performance characterization of network timing with remote traceability via GNSS time transfer

One credible method for performance evaluation of network timing service was proposed, based on one kind of disciplined time standard with GNSS time transfer, NIMDO. The performance of the NTP timing service were characterized over multiple baselines on both the Internet and the Intranet, and the network delay and the timing offset were analyzed in detail. The results show that on the Internet the averaged timing offsets via the NTP servers are roughly hundreds of μs to several ms level, and on the Intranet the averaged timing offsets via the NTP servers are at about 20 μs level. NTP timing service was mainly affected by white phase noise, and flicker phase noise at the different sites. The maximum change of the timing offset was one-half of the maximum change of RTDelay. The uncertainties have been separately evaluated as less than 30 ms on the Internet and less than 60 μs on the Intranet for NTP timing service.