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This paper aims to study six degrees-of-freedom (6DOF) pose measurement of reflective metal casts by machine vision, analyze the problems existing in the positioning of metal casts by stereo vision sensor in unstructured environment and put forward the visual positioning and grasping strategy that can be used in industrial robot cell.

A multikeypoints detection network Binocular Attention Hourglass Net is constructed, which can complete the two-dimensional positioning of the left and right cameras of the stereo vision system at the same time and provide reconstruction information for three-dimensional pose measurement. Generate adversarial networks is introduced to enhance the image of local feature area of object surface, and the three-dimensional pose measurement of object is completed by combining RANSAC ellipse fitting algorithm and triangulation method.

The proposed method realizes the high-precision 6DOF positioning and grasping of reflective metal casts by industrial robots; it has been applied in many fields and solves the problem of difficult visual measurement of reflective casts. The experimental results show that the system exhibits superior recognition performance, which meets the requirements of the grasping task.

Because of the chosen research approach, the research results may lack generalizability. The proposed method is more suitable for objects with plane positioning features.

This paper realizes the 6DOF pose measurement of reflective casts by vision system, and solves the problem of positioning and grasping such objects by industrial robot.

The positioning and grasping of large-size objects have always had problems of low positioning accuracy, slow grasping speed and high application cost compared with ordinary small parts tasks. This paper aims to propose and implement a binocular vision-guided grasping system for large-size object with industrial robot.

To guide the industrial robot to grasp the object with high position and pose accuracy, this study measures the pose of the object by extracting and reconstructing three non-collinear feature points on it. To improve the precision and the robustness of the pose measuring, a coarse-to-fine positioning strategy is proposed. First, a coarse but stable feature is chosen to locate the object in the image and provide initial regions for the fine features. Second, three circular holes are chosen to be the fine features whose centers are extracted with a robust ellipse fitting strategy and thus determine the precise pose and position of the object.

Experimental results show that the proposed system has achieved high robustness and high positioning accuracy of −1 mm and pose accuracy of −0.5 degree.

It is a high accuracy method that can be used for industrial robot vision-guided and grasp location.

The purpose of this paper is to reveal how Chinese private entrepreneurs behaved in a transition economy with a weak institutional environment to obtain organizational legitimacy.

Drawing on five consecutive nation‐wide surveys from 1997 to 2006 in China, the study provides empirical evidence and theoretical explanation on private entrepreneurs' behaviors in obtaining organizational legitimacy in China's transition economy.

The paper finds that the institutional environment in China's transition economy for private firms was weak. Specifically, weak property protection and Three Payouts showed a high risk of property confiscation for private firms; an under‐developed (discriminatory) financial system and a weak credit system had been big obstacles for the development of private firms, which resulted in debt chain among firms, a substitution for the weak financial system. Under such a hostile institutional environment where firms have been facing a high risk of organizational legitimacy, private entrepreneurs have great willingness to connect with government officers, participate in PC or CPPCC which are likely be politically connected, employ isomorphism in organizational structure, apply government‐oriented corporate social responsibility behaviors, on which they depend to obtain organizational legitimacy in transitional economy.

The paper exhibits the institutional environment in the past ten years in China's transition economy, and proposes the likely ways in which private entrepreneurs choose to establish legitimacy under a weak institutional environment.

The purpose of this study is to examine the relationship between demographic characteristics, job stress, and cognitive and affective conflict faced by Chinese top managers and how this conflict is resolved over multiple rounds of conflict situations.

A questionnaire was designed and submitted to Chinese top managers of firms located in Sichuan Province, PRC. Besides Likert‐type questions concerning demographic characteristics, job stress, and both types of conflict, contextual anchorage method was used to let top managers rank the conflict resolution styles they would prefer for solving a given situation of conflict.

Data were submitted to hierarchical regression analysis. It was found that age is in negative relation with job stress and that the higher the education level of top managers, the more cognitive conflict they will experience. In turn, the more cognitive conflict, the more affective conflict will be experienced. In addition, it was found that job stress is in positive association with cognitive conflict. Finally and most importantly, the findings indicated that Chinese top managers are inclined to using integrating to handle conflict. This seems to be generally inconsistent with traditional Chinese culture.

The paper accounted for respective calls that proposed to focus on the antecedent conditions of cognitive and affective conflict. Therefore, a framework containing important antecedent factors of conflict was proposed. As a first attempt, it integrated the relationship between job stress and conflict. Most importantly, and also as a first attempt, however, this study sought to identify the conflict resolution styles Chinese top managers applied over multiple rounds of conflict situations, whereas findings additionally differentiate between affective and cognitive types of conflict.

The aim of this study is to explore the mediating role of executive competency in entrepreneurial-orientated corporations between entrepreneurial orientation and corporate performance.

The authors conducted a survey of entrepreneurial-oriented enterprises mainly located in Beijing, Shanghai, Hangzhou, Shenyang, Dalian, Anshan, Chengdu, Guiyang, Wuhan, Taiyuan, Xi’an, Guangzhou, Shenzhen and so on, areas which cover North China, northeast of China, Yangtze River Delta and Pearl River Delta, and are largely representative of the population as a whole. A total of 300 questionnaires were issued with 276 returns, a response rate of 92 per cent; 248 of these were valid.

First, executive competency in entrepreneurial-oriented corporations has four dimensions. These are profession features, concept features, interpersonal features and individual internal drive features; 15 competency elements are included in the above dimensions. Second, entrepreneurial orientation does improve corporate performance, and the positive influence is mainly through two dimensions, which are innovation and antecedence. Third, executive competency has a positive influence on corporate performance, thus confirming the effectiveness of executive competency as a dependent variable. Finally, executive competency has a partial mediating influence on the relationship between entrepreneurial orientation and corporate performance, with a full mediating influence on innovation and corporate performance, and a partial mediating influence on antecedence and corporate performance.

The conclusions have important implications. Theoretically, the executive competency model, which fits entrepreneurial orientation, is constructed, and the relationship between entrepreneurial orientation and corporate performance is enriched and extended to include executive competency, which provides a theoretical foundation and empirical support for understanding and explaining entrepreneurial strategy in Chinese corporations. In terms of practical implications, this study helps entrepreneurial-orientated corporations to develop a proper human resources management system to recruit, evaluate, train and develop executives, resulting in continuous performance improvement.

Infrared simulation plays an important role in small and affordable unmanned aerial vehicles. Its key and main goal is to get the infrared image of a specific target. Infrared physical model is established through a theoretical research, thus the temperature field is available. Then infrared image of a specific target can be simulated properly while taking atmosphere state and effect of infrared imaging system into account. For recent years, some research has been done in this field. Among them, the infrared simulation for large scale is still a key problem to be solved. In this passage, a method of classification based on texture blending is proposed and this method effectively solves the problem of classification of large number of images and increase the frame rate of large infrared scene rendering. The paper aims to discuss these issues.

Mosart Atmospheric Tool (MAT) is used first to calculate data of sun radiance, skyshine radiance, path radiance, temperatures of different material which is an offline process. Then, shader in OGRE does final calculation to get simulation result and keeps a high frame rate. Considering this, the authors convert data in MAT file into textures which can be easily handled by shader. In shader responding, radiance can be indexed by information of material, vertex normal, eye and sun. Adding the effect of infrared imaging system, the final radiance distribution is obtained. At last, the authors get infrared scene by converting radiance to grayscale.

In the fragment shader, fake infrared textures are used to look up temperature which can calculate radiance of itself and related radiance.

The radiance is transferred into grayscale image while considering effect of infrared imaging system.

Simulation results show that a high frame rate can be reached while guaranteeing the fidelity.

Although social media has been increasingly applied and valued in the construction industry, there has been little evidence revealing the influence mechanism of social media use in the construction context. In this way, this paper aims to explore how different purposes of social media use affect project performance from a project manager's perspective.

Drawing on the mechanism–outcome–performance framework, this paper developed a research model to figure out the mechanism through which work-oriented and socialization-oriented social media use influences construction project performance. The empirical data were collected from a survey of 249 construction project managers, and the structural equation modeling technique was applied to test the proposed model.

Results indicate that both work-oriented and socialization-oriented social media use promote knowledge acquisition and project social capital, which both further positively impact the project performance. Additionally, the negative moderating role of information overload is identified on the relationship between social media use and knowledge acquisition.

This study fulfills the need for an in-depth investigation of social media use on construction project performance, contributing to the project management and social media literature. Furthermore, this study provides recommendations for project managers to advance social media applications in the construction domain.

This paper aims to successfully synthesize three-dimensional spindle-like Au functionalized Co₃O₄-ZnO nanocomposites; characterize the structure, morphology and surface chemical properties of the products; study the effect of Au NPs doping concentration, operating temperature different gas to, sensing properties; and introduce an attractive gas sensor for acetone detection.

Au NPs functionalized Co₃O₄-ZnO nanocomposite was prepared by coprecipitation and impregnation methods; the structure and surface chemical property of the products were characterized by XRD, SEM, TEM, UV-Vis, BET and XPS. The sensing ability of Au@Co₃O₄-ZnO for acetone and mechanism was analyzed systematically.

The results of gas sensing tests show that the unique component structure, Schottky junction and catalytic effect of Au functionalization make it have low operating temperature, excellent selectivity, high response (10 ppm, 56) and rapid response recovery time.

All the characterization and test data of the prepared materials are provided in this paper and reveals the gas sensing mechanism of the gas sensor.

The detection limit is 2.92–100 ppb acetone. It is promising to be applied in low-power, micro detection and miniature acetone gas sensors.

The gas sensor prepared has a lower working temperature and low detection limit, so it has promising application prospects in low-concentration acetone detection and early warning.

The unique component structure, Schottky junction and catalytic effect of Au functionalization Co₃O₄-ZnO make it have low operating temperature, excellent selectivity and rapid response recovery time.

Existing research focuses on the pension systems and reforms in China from a macro-level and financial perspective. The expectations of mid-life Chinese people regarding their retirement and pensions have been ignored to date, and this research set out to address this lacuna.

The application of qualitative research methods is relatively novel in Chinese social science. As a grounded theory (GT) study, the research reported here deployed semi-structured interviews to investigate middle-aged Chinese women's and men's perceptions of their pensions and retirement. In total, 36 interviews were conducted, following the constructivist GT method.

The data point to disparities between the choices and perceptions of individuals on the one hand and the official assumptions underlying the current pension regime on the other hand. Research participants had varying interpretations of the inequality in retirement incomes in China, the main division being between enterprise workers and public-sector employees.

Although there are in principle rigidly fixed retirement ages for men and women in contemporary China, the phenomena of early retirement and working post-retirement are increasing. There are trade-offs between work/retirement and family needs, which influence the choices of middle-aged citizens. Retirement pathways are increasingly individualised, reflecting broader patterns of individualisation and inequality in China.

Despite the documented benefits of voice behavior for projects, little is known about antecedents of voice behavior in the project context, especially construction projects. Against this background, adopting a multi-team system perspective, this study attempts to investigate antecedents of team voice behavior from a contextual view.

This study identifies and examines six factors that influence team voice behavior. Specifically, project urgency, project temporality, and project complexity are identified from the project nature perspective. Satisfaction, trust, and commitment are generated from the relationship quality approach. Then, data from completed construction projects in China was collected to verify the effectiveness of these factors. Besides, the partial least squares structural equation modeling (PLS-SEM) technique was used in this study.

All six factors are found to be significant predictors of promotive team voice behavior. For prohibitive team voice behavior, only project complexity and project commitment make significant effects. Further, the differential effects of these factors on two types of voice behavior are revealed.

This study contributes to the literature on voice behavior in the project context, especially construction projects consisting of multiple teams. Also, this research enriches our knowledge on antecedents of team voice behavior in construction projects and thus affords practical implications to foster voice behavior.