Search results

To plan the urban traffic path using the ant colony algorithm, the composition and functional division of the mobile robot are analyzed. The TSP (Traveling Salesman Problem) is used to deeply understand the traditional ant colony algorithm. Then, based on this, the improvement scheme of the traditional ant colony algorithm is analyzed. The results showed that the artificial potential field method and the A* algorithm improved the performance of the ant colony algorithm. At the initial stage of the search path, the blindness and randomness of the ant colony algorithm due to insufficient pheromone concentration in each path were solved. The local optimal path is avoided with the development of algorithm iteration. Therefore, the improved ant colony algorithm is superior to the traditional ant colony algorithm.

Drawing from social capital theory and resource dependence theory, this paper aims to test the relationship between top management team (TMT) government social capital and firm’s innovation performance via firm’s network prestige, and the moderating effect of TMT academic social capital.

The authors collected data from the China Stock Market and Accounting Research Database as well as A-share listed firms’ annual reports, and finally generated a sample of 922 firms and 2,464 firm-years from 2008 to 2014. UCINET 6.0 was used to analyze the data.

The authors find that the government social capital of TMT is positively related to firms’ innovation performance and firms’ network prestige plays a mediating role in this relationship. In addition, TMT academic social capital can strengthen the links between TMT government social capital and innovation performance through firms’ network prestige.

This paper not only contributes to literatures on the mechanism in the relationship between government social capital and firms’ innovation, but also to literatures on the effectiveness of the heterogeneity of firm’s social capital.

The purpose of this paper is to analyze the measurement error of a three-dimensional coordinate measurement system based on dual-position-sensitive detector (PSD) under different background light.

The mind evolutionary algorithm (MEA)-back propagation (BP) neural network is used to predict the three-dimensional coordinates of the points, and the influence of the background light on the measurement accuracy of the three-dimensional coordinates based on PSD is obtained.

The influence of the background light on the measurement accuracy of the system is quantitatively calculated. The background light has a significant influence on the prediction accuracy of the three-dimensional coordinate measurement system. The optical method, electrical method and photoelectric compensation method are proposed to improve the measurement accuracy.

BP neural network based on MEA is applied to the coordinate prediction of the three-dimensional coordinate measurement system based on dual-PSD, and the influence of background light on the measurement accuracy is quantitatively analyzed.

The purpose of this paper is to examine the impacts of ambidextrous capabilities, explorative capability and exploitative capability on product innovation performance in the context of internationalization and cross-cultural environment; and to examine the moderating effects of CEO’s preference of risks and opportunities in the international market on the relationship between ambidextrous capabilities and multinational enterprises’ (MNEs) product innovation performance.

Data were collected from 189 MNEs located in China, which develop international business through export, outsourcing, foreign equity investment or foreign direct investment. Measurement reliability and validity were examined and hierarchical linear regression was used to test the hypotheses.

Results indicated that both explorative and exploitative capability are positively related to MNEs’ new product development and commercialization of Chinese MNEs; and CEO’s preference of risks and opportunities in international market plays a significant moderating role in the two phases of product innovation.

This study extends organizational ambidextrous capabilities theory to better understand the effects of explorative capability and exploitative capability on innovation performance in the context of internationalization and national cultural differences. Sample constitution is a possible limitation.

MNEs, especially those from emerging economies, should develop both explorative and exploitative capability to be flexible and competitive in dealing with cultural differences. fully take risks and opportunities should be taken into consideration regarding the international market and national cultural differences, and take an effective contingency strategy, driven by the ambidextrous capabilities toward new product innovation development and commercialization.

An empirical examination of how ambidextrous capabilities impact on Chinese MNEs’ new product development and commercialization connects the organizational ambidexterity theory to the innovation and characteristics of upper echelons.

The purpose of this paper is to study the correlation between the dynamic features of the running-in attractor and the wear particle group, so as to characterize the running-in attractor by means of the wear particle group.

Wear particles are collected in phased wear experiments, and their dynamic features are investigated by the equivalent mean chord length L. Then, the correlation between the equivalent mean chord length L and the correlation dimension D of the running-in attractor is studied.

In the wear process, the equivalent means chord length L first decreases, then remains steady, and finally increases, this process agrees with the increase, stabilization and decrease of the correlation dimension D. Therefore, the wear particle group has a dynamic nature, which characterizes the formation, stabilization, and disappearance of a running-in attractor. Consequently, the dynamic characteristics and evolution of a running-in attractor can be revealed by the wear particle group.

The intrinsic relationship between the wear particle group and the running-in attractor is proved, and this is advantageous for further revealing the dynamic features of the running-in attractor and identifying the wear states.

The purpose of this paper is to review the theoretical background, methodological extensions, and empirical applications of the Engel curve, which is applied to the research of the change in farmers’ welfare and food demand in China after the economic reform in 1978, compared with the statistics of income and food consumption.

This paper mainly uses the traditional method of Engel curve, which is compared with income growth and food consumption, to study farmers’ welfare improvement in rural China.

The Engel coefficients identify three different stages for farmers’ welfare change after 1978. The first stage is the period between 1978 and 1988, in which farmers’ welfare has been continuously enhanced due to the institutional bonus of the 1978 economic reform and increased government purchase price of agricultural products. The second stage is the period between 1989 and 1995, in which farmers’ welfare has been slightly deteriorated mainly due to the end of institutional reform bonus, suppressed food prices, relative high inflation, and instable political situation. The third stage is the period after 1995, in which farmers’ welfare returns to a growing path, as the dual price system was abolished, the transition from a planned economy to a market economy had been completed, and the government carried out protective policies for agriculture and started to heavily subsidize agriculture. The Engel coefficient still remained at a very high level at 0.59 in 1995, but it continuously decreased to 0.33 in 2015. The welfare enhancement for farmers mainly results from deepened market-oriented reform, protective policies for agriculture, and prevalent off-farm employment. The Engel coefficient is also linked to food demand elasticities. Along with the decreasing Engel coefficient in the past 40 years, income elasticities also continuously decrease from 0.55 in 1978 to 0.08 in 2015. Food demand is very inelastic now, and any further increase in income will not substantially increase food demand any more.

Inequality has not been analyzed.

This paper reviews the methodological advantages of the Engel curves, and uses it to identify different stages of welfare change and estimate income elasticities of food demand for farmers in China after the 1978 economic reform.

The purpose of this paper is to focus on how the three elements of paternalistic leadership – authoritarianism, benevolence and moral leadership – affect organizational innovation – both explorative and exploitative innovation – in Chinese enterprises. It also examines the moderating effect of environmental dynamism on the relationship between paternalistic leadership and organizational innovation.

Data on 190 superior–subordinate dyads are collected using questionnaire surveys. The supervisors are recruited from the MBA program in a famous university in the city of Hefei, China, who are also asked to distribute subordinate questionnaires to their subordinates. The hierarchical regression analysis is conducted to test the hypotheses by using SPSS 22.0.

The analysis of 190 superior–subordinate dyads shows that benevolent and authoritarian leadership is positively related to exploratory innovation, while moral leadership has no significant impact on exploratory innovation. The results also reveal that all three elements of paternalistic leadership is, in general, positively correlated with exploitative innovation. Furthermore, environmental dynamism moderates the relationship between paternalistic leadership and innovation. In a dynamic environment, moral leadership has a stronger positive effect on innovation, but only on exploratory innovation; whereas authoritarian leadership exerts more detrimental effects on both exploratory and exploitative innovation.

The current work contributes to understanding the relationship between paternalistic leadership and innovation in the Chinese cultural context by examining the effects of the three elements of paternalistic leadership separately and by showing how these effects can be moderated by environmental dynamism.

This paper aims to provide a series of new methods for projecting a three-dimensional (3D) object onto a free-form surface. The projection algorithms presented can be divided into three types, namely, orthogonal, perspective and parallel projection.

For parametric surfaces, the computing strategy of the algorithm is to obtain an approximate solution by using a geometric algorithm, then improve the accuracy of the approximate solution using the Newton–Raphson iteration. For perspective projection and parallel projection on an implicit surface, the strategy replaces Newton–Raphson iteration by multi-segment tracing. The implementation takes two mesh objects as an example of calculating an image projected onto parametric and implicit surfaces. Moreover, a comparison is made for orthogonal projections with Hu’s and Liu’s methods.

The results show that the new method can solve the 3D objects projection problem in an effective manner. For orthogonal projection, the time taken by the new method is substantially less than that required for Hu’s method. The new method is also more accurate and faster than Liu’s approach, particularly when the 3D object has a large number of points.

The algorithms presented in this paper can be applied in many industrial applications such as computer aided design, computer graphics and computer vision.

It is widely accepted that enterprises obtaining academic discoveries through R&D collaboration improve their innovation performance. However, it is not necessarily true in emerging economies, such as China and post-socialist countries in Europe. The purpose of this paper is to fill the gap by investigating how R&D collaboration between industry and academia (i.e. universities and research institutes) affects the industrial innovation performance; and whether and how intermediaries moderate their relationships.

This paper constructs the research model according to the knowledge production function, and the pooled ordinary least square regression is used to verify our hypotheses.

Evidence from a sample of Chinese industrial enterprises in thirty provinces spanning from 2009 to 2014 suggests that R&D collaboration with research institutes (CWR) is positively related to innovation output, while R&D collaboration with universities (CWU) exerts negative effect on innovation output measured by sales revenue of new product (NPSR). The significant moderating role of technology transfer institutions is confirmed in the negative relationship between CWU and NPSR.

This paper empirically examines the moderating role of intermediary organisations in academia–industry cooperation and industrial innovation, and has practical implications for the government to formulate policies to improve the quality and effectiveness of cooperation between academic and industrial sectors. These results vary in inland and coastal areas, which suggest the policy makers to formulate policies according to local conditions not only in China but also in other countries, like European countries.

The purpose of this paper is to predict the effect of bra pad specifications on breast deformation during jumping using a finite element (FE) method. Breast deformation is a key concern for women during exercise and can be effectively controlled with sports bras. In most studies, the deformation of breasts when wearing a sports bra is measured using motion capture devices to judge their effectiveness. However, the operation of such devices is highly complex and time-consuming. Computer-aided technology is an efficient way to simulate these experiments.

In this study, the breast model was obtained using three-dimensional (3D) scanning. Assembling models were obtained for FE analysis using reverse engineering and computer-aided design (CAD) software. The breast deformation results were obtained by completing pre-processing, solving and post-processing in the FE simulation software. To extend the application of these models, pads of different sizes and thicknesses within the bra were constructed to simulate the effect of pads on breast deformation.

The calculated root mean square errors were <1%, which indicated good agreement between the FE and experimental data in all the models. Nipple deformation was always the largest in most models. The smallest deformation occurred at the superior position of breasts in all models. In addition, larger pads were not effective in reducing breast deformation; however, thicker pads were.

The method developed in this study provides an effective way to predict breast deformation in multiple positions and is convenient for designing compression bras.