Purpose The study advances an enhanced model encompassing psychological involvement, denoted as the psychological continuum model (PCM) and perceived customer service quality as intermediaries in the association between subjective customer knowledge (SCK) and behavioral loyalty. The purpose of this study is to assess the mediating role of psychological engagement and consumers' perceived service quality in the relationship between SCK and behavioral loyalty among members of nonprofit sports service organizations. Additionally, the study aims to examine the impact of membership duration on the relationship between consumer knowledge and behavioral loyalty. Design/methodology/approach The study used a quantitative research design, and primary data were collected through a structured questionnaire from 527 members of nonprofit Chinese sports clubs who were selected using a simple random sampling technique. A 5-point Likert scale questionnaire was developed to measure all constructs in the intended research model. The suitability of the measurement model was analyzed by performing confirmatory factor analysis (CFA). Structural equation modeling (SEM) was used to analyze the data using AMOS-24. Findings The results of the overall direct effect indicate a significant influence of subjective knowledge on perceived service quality, perceived service quality significantly and positively influences psychological engagement; psychological engagement was found to be an important predictor of consumer behavioral loyalty. Originality/value The results offer information for nonprofit sports club (NPSC) managers who seek to increase the attractiveness and retention of their clubs' members by establishing the importance of subjective consumer knowledge.
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This paper analyzes the characters of the network management system of access network, introduces the models of Web-based network management, points out the advantages of Java technologies. Finally, an implementation of Web-Java based on network performance management system of broadband access network is described in detail.
This paper proposes a novel dopingless ternary FET (DLT-FET) composed of the longitudinal metal-source/InAs-channel/InAs-drain structure for compact implementation of the ternary inverter. A single DLT-FET mixes two types of carrier transport mechanisms: 1) according to the concept of charge plasma, the Band-to-Band tunneling (BTBT) can occur at channel/drain interface by metal work function engineering; 2) Schottky Barrier tunneling (SBT) at the source/channel interface. The mechanism of the DLT-FET is verified with the help of TCAD tools. The simulation results revealed that both N/P-type DLT-FETs have a flat drain current characteristic around V G = 0.5 V DD , where the V G -independent I BTBT dominates the drain current. The stable third output voltage can be obtained through the voltage dividing, while both the I SBT and I BTBT generate the other voltage levels of 0 V and 1.0 V DD . Furthermore, the effects of a series of key device parameters on DLT-FETs and ternary inverter performance are evaluated. The ternary inverter can be implemented by simply replacing two transistors with N/P-type DLT-FETs in a conventional binary inverter and selecting appropriate device parameters for exhibiting comparable transfer characteristics.
This paper presents an adiabatic tree multiplier based on modified Booth algorithm, which operates in a single-phase power-clock. All circuits are realized using improved CAL (clocked adiabatic logic) circuits with TSMC 0.18 mum CMOS process. The proposed single-phase adiabatic booth encoder attains energy savings of 82% at 50 MHz and 70% at 300 MHz, compared with its CMOS counterpart. The single-phase adiabatic partial product generator and 4-2 compressors based on the gate level attain energy savings of 80% and 76% as compared to the conventional CMOS implementations at 200 MHz, respectively.
In high-speed applications, MOS current mode logic (MCML) is a good alternative. Scaling down supply voltage of the MCML circuits can achieve low power-delay product (PDP). However, the current almost all MCML circuits are realized with dual-rail scheme, where the NMOS configuration in series limits the minimum supply voltage. In this paper, single-rail MCML (SRMCML) circuits are described, which can avoid the devices configuration in series, since their logic evaluation block can be realized by only using MOS devices in parallel. The relationship between the minimum supply voltage of the SRMCML circuits and the model parameters of MOS transistors is derived, so that the minimum supply voltage can be estimated before circuit designs. An MCML dynamic flop-flop based on SRMCML is also proposed. The optimization algorithm for near-threshold sequential circuits is presented. A near-threshold SRMCML mode-10 counter based on the optimization algorithm is verified. Scaling down the supply voltage of the SRMCML circuits is also investigated. The power dissipation, delay, and power-delay products of these circuits are carried out. The results show that the near-threshold SRMCML circuits can obtain low delay and small power-delay product.
A compact optimization method with neural network fault diagnosis samples is presented by combining with grey correlation analysis theory, so as to resolve on-line fault diagnosis issues on massive amounts of samples affecting the neural network diagnostic performances and its application in engineering. This method is utilized to enhance the network performances of neural network, and speed up the convergent velocity, so as to reduce the time and misjudgment of the condition monitoring in the neural network and fault diagnosis, while its application steps in fault diagnosis are designed to be applied for the sample compact optimization of coal mine ventilator fault diagnosis. The simulation result shows that this method in this paper can be effective. Compared with the rough set neural network method, it has the advantage of simplified computation that is convenient for engineering applications.
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