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This paper aims to examine the J-shaped relationship between age and job-specific skill obsolescence (JSSO), and the differential moderating effects of development and maintenance HR practices on this relationship.

Regression models of survey data obtained from a sample of 722 Chinese knowledge workers were used to test the hypotheses.

The results show that among women age and JSSO are J-shaped related and the relationship weakens under high development HR practices; while among men the J-shaped age-JSSO relation is significant only under low maintenance HR practices.

This research is subject to the cross-sectional design, and the sample is restricted to knowledge workers.

This study advances previous studies that hold a linear (positive or negative) age-JSSO relationship by theorizing and testing a J-shaped one. The differentiated moderating effects of two bundles of HR practices proved improves our knowledge about how to use HR practices appropriately to sustain employee work competency in the context of workforce aging.

This paper aims to reveal the curvilinear relationships between perceived development human resource practices (DHRPs) and both affective commitment and work stress, and the moderating effects of age on the curvilinear relationships.

Hypotheses were developed from an employee-oriented contingent view based on the person-job fit theory and lifespan development theories. Methods suggested by Haans et al. (2016) and Dawson (2014) to test curvilinear relationships and related moderations, and a two-wave survey data from 742 Chinese employees were used.

The results showed that perceived DHRPs related to affective commitment in an inverted U shape and work stress in a U shape. However, age moderated the nature of the relationships such that both the curvilinear relationships only existed under low age while under high age perceived DHRPs related to affective commitment positively and work stress negatively.

This study advances the prevailing linear (positive or negative) thinking on the DHRPs–outcomes relationships by showing that perceived DHRPs relate to both affective commitment and work stress nonlinearly. Moreover, different from existing findings that age moderates the strength of the linear DHRPs–outcomes relationships, the results indicate that age moderates the nature of the relationships between perceived DHRPs and affective commitment and work stress. This implies a refined age-differential approach to use DHRPs to sustain a committed and healthy workforce in the context of workforce aging.

The purpose of this paper is to examine the important application value of extending the concept of classification rule, so that it can describe and measure the uncertainty of classification knowledge.

The rough concept lattice (RCL), which is an effective tool for uncertain data analysis and knowledge discovery, reflects a kind of unification of concept intent and upper/lower approximation extent, as well as the certain and uncertain relations between objects and attributes.

A classification rules extraction algorithm, extraction algorithm of classification rule (EACR), based on the RCL is presented by adapting the rough degree to measure uncertainty of classification rule. The algorithm EACR is experimentally validated by taking the star spectrum data as the decision context.

An efficient way for classification rule extraction is provided.

The algorithm EACR based on the RCL is presented by adapting the rough degree to measure uncertainty of classification rule.

This research aims to argue that manual geometric modeling is blocking the building information modeling (BIM) promotion to small-size companies. Therefore, it is necessary to study a manner of automated modeling to reduce the dependence of BIM implementation on manpower. This paper aims to make a study into such a system to propose both its theory and prototype.

This research took a prototyping as the methodology, which consists of three steps: (1) proposing a theoretical framework supporting automated geometric modeling process; (2) developing a prototype system based on the framework; (3) conducting a testing for the prototype system on its performance.

Previous researches into automated geometric modeling only respectively focused on a specific procedure for a particular engineering domain. No general model was abstracted to support generic geometric modeling. This paper, taking higher level of abstraction, proposed such a model that can describe general geometric modeling process to serve generic automated geometric modeling systems.

This paper focused on only geometric modeling, skipping non-geometric information of BIM. A complete BIM model consists of geometric and non-geometric data. Therefore, the method of combination of them is on the research agenda.

The model proposed by this paper provide a mechanism to translate engineering geometric objects into textual representations, being able to act as the kernel of generic automated geometric modeling systems, which are expected to boost BIM promotion in industry.

Noise abatement is one of the key techniques for Partial Discharge (PD) on-line measurement and monitoring. However, how to enhance the efficiency of PD signal noise suppression is a challenging work. Hence, this study aims to improve the efficiency of PD signal noise abatement.

In this approach, the time–frequency characteristics of PD signal had been obtained based on fast kurtogram and S-transform time–frequency spectrum, and these characteristics were used to optimize the parameters for the signal matching over-complete dictionary. Subsequently, a self-adaptive selection of matching atoms was realized when using Matching Pursuit (MP) to analyze PD signals, which leading to seldom noise signal element was represented in sparse decomposition.

The de-noising of PD signals was achieved efficiently. Simulation and experimental results show that the proposed method has good adaptability and significant noise abatement effect compared with Empirical Mode Decomposition, Wavelet Threshold and global signal sparse decomposition of MP.

A self-adaptive noise abatement method was proposed to improve the efficiency of PD signal noise suppression based on the signal sparse representation and its MP algorithm, which is significant to on-line PD measurement.