Browsing by Author "Wang, C."

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    Explaining the surge in M&A as an entry mode: home country and cultural influences
    (Emerald Publishing Limited, 2017) Boateng, Agyenim; Du, Min; Wang, Y.; Wang, C.; Ahammad, Mohammad F.
    Purpose – The purpose of this paper is to examine the trends, patterns and the impact of cultural and home country macroeconomic influences on Chinese cross-border mergers and acquisitions (CBM&A) as foreign entry strategy for the period of 1998-2011. Design/methodology/approach – Using three regression models, namely, ordinary least squares, the random effects and fixed effects to examine the impact of home country macroeconomic and cultural factors on CBM&A outflows as an entry mode of Chinese firms. The authors check the robustness of the results using system GMM. Findings – The findings suggest that CBM&A as a preferred mode of market entry provides a means for obtaining strategic resources to develop competitive advantages for the Chinese emerging market firms. The regression results indicate that home country macroeconomic and cultural variables, including gross domestic product (GDP), liquidity, interest rates, inflation, acquisitions in resource seeking sectors and cultural distance play an important role in explaining the trends of CBM&A outflows by the Chinese firms. Research limitations/implications – The results imply that government support to emerging market multinational enterprises (EMEs) to acquire strategic assets and economic policies in the home country play an important role in shaping international expansion behaviour of EMEs through CBM&A. The study demonstrates that outward investments of EMEs are partly a function of the level of economic policies and government support at home. The limitation is that most of the Chinese CBM&A transactions took place in Asia/Pacific locations. Future studies appear warranted if new data become available. Originality/value – The study demonstrates how the institutions, strategic asset seeking with government support and economic policies in the home country play important role in shaping international expansion behaviour of emerging market enterprises through CBM&A thereby contributing to the political economy literature and institutional theory. More importantly, the study shows that the level of economic policies and development such as GDP, money supply, interest rates, inflation of the home country are important for EME growth in the international market
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    Lean partially premixed turbulent flame equivalence ratio measurements using laser-induced breakdown spectroscopy
    (Elsevier, 2018-10-06) Badawy, T.; Hamza, M.; Mansour, M. S.; Lattimore, T.; Wang, C.; Abdel‐Raheem, M. A.; Abdel‐Hafez, Abdel‐Hafez H.
    The creation of a more stable flame along with the extension of flammability limits under lean mixture combustion was the main motivation to develop a new burner design, which has been investigated in this research. The current burner configuration was utilized to create a wide range of higher turbulent intensities and to produce different degrees of mixture inhomogeneity, which acted to promote minimum pollution, highest performance and higher flame stability. The burner stability assessment was investigated using two types of fuel: natural gas (NG) and liquefied petroleum gas (LPG). They were tested under different degrees of partial premixing, and two turbulence generator disks for lean mixture at an equivalence ratio of φ = 0.8 were used. Following this, the Laser Induced Breakdown Spectroscopy (LIBS) technique was utilized to characterize and quantify the impact of changing the disk slit diameter on the distributions profiles of equivalence ratio or mixture fraction for a NG/air partially premixed flame. A series of homogeneous NG/air mixtures with different equivalence ratios were used to obtain the correlations between the measured emission lines of LIBS spectra and the global flame equivalence ratio. Consequently, the emission spectral lines ratios of H/N, H/O and C/N + O were utilized to predict the equivalence ratio distributions. The results demonstrated that for all of the mixing lengths, NG/air mixture with larger disk generator diameter yielded the maximum burner stability, whilst the LPG/air mixture with a larger disk generator diameter resulted in the minimum burner stability. Furthermore, the flame associated with the larger disk slit diameter had a uniform local equivalence ratio distribution and lower RMS fluctuation profiles of equivalence ratio in comparison to the lower disk slit diameter.
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    Terrain Adaptive Estimation of Instantaneous Centres of Rotation for Tracked Robots
    (Complexity, Hindawi, 2018-11-01) Wang, C.; Lv, W.; Li, Xiaochuan; Mei, M.
    As a type of skid-steering mobile robot, the tracked robot suffers from inevitable slippage, which results in an imprecise kinematics model and a degradation of performance during navigation. Compared with the traditional robot, the kinematics model is able to reflect the influences of slippage through the introduction of instantaneous centres of rotation (ICRs). However, ICRs cannot be measured directly and are time-varying with terrain variation, and thus, here, we aim to develop an online estimation method to acquire the ICRs of a robot by means of data fusion technologies. First, an innovation-based extended Kalman filter (IEKF) is employed to fuse the readings from two incremental encoders and a GPS-compass integrated sensor, to provide a real-time ICR estimation. Second, a decision tree-based learning system is used to classify the terrains that the robot traverses, according to the vibration signals gathered by an accelerometer. The results of this terrain classification are improved via a Bayesian filter, by utilizing temporal correlation in the terrain time series. Third, the performances of the ICR estimation and terrain classification are mutually promoted. On one hand, terrain variation is detected with the aid of the terrain classification, and therefore, the process noise variance of IEKF can be automatically adjusted. Hence, the results of ICR estimation are smooth if the terrain does not change and converge rapidly upon terrain variation. On the other hand, the sudden changes in innovation are used to adjust the state transition probability during the recursive calculation of the Bayesian filter, thus increasing the accuracy of the terrain classification. A real-world experiment was undertaken on a tracked robot to validate the effectiveness of the proposed method. It is also demonstrated that the terrain adaptive odometry outperforms the traditional approach with the knowledge of ICRs.