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Investigating the technology catching-up trajectory of Chinese Hi-Tech SMEs: an integrated framework from industry-, resource-, and institution-based view
Accepted for WLICSMB 2010Purpose This paper intends to review the literatures on the technology catching-up trajectory of latecomers in order to understand the innovation strategies of Chinese Hi-Tech SMEs (Gu & Tse, 2010; Xie & White, 2006; Chen & Qu, 2003; Lee & Lim, 2001; Kim, 1997). It also tries to construct an integrated framework to investigate their innovation strategies and the impact on organizational performance from the Industry-, Resource-, and Institution-based view (Peng, Wang, & Jiang, 2008). Design/methodology/approach The authors have reviewed papers published in the leading journals in the R&D field and proposed an integrated conceptual framework of innovation strategies of Chinese Hi-Tech firms based on Peng, Wang and Jiang (2008)’s institution-based view framework to examine the innovation strategy from Industry-, firm-specific Resource-based, and Institution-based View Originality/Value This paper pays attention to the institution factors in shaping Chinese SMEs to develop innovative capabilities. Chinese firms have comparative advantages, such as better comprehending Chinese local market, better understanding of local business environment comparing to MNEs. Our paper argues that by developing effective innovation strategies and improving innovative capabilities, Chinese SMEs will be able to survive from the severe competitions from state-owned enterprises and foreign firms in China
Automatic loop-shaping in quantitative feedback theory using genetic algorithms
Design automation in Quantitative Feedback Theory (QFT) is addressed in
this paper. An automatic loop shaping procedure based on Genetic Algorithms
(GAs) is developed, where a robust controller for uncertain plants can be designed
automatically such that the cost of feedback is minimised and all robust stability
and performance specifcations are satisfed. The developed approach can improve
the current QFT design in at least two aspects. One is in the design of an initial
controller for complicated plants, which might be difficult even to find a stabilising controller manually. The other is in improving the initial manual design by
optimisation of the performance index under the prescribed requirements within
the neighbourhood of the manual design. An illustrative example which compares
manual loop shaping with automatic loop shaping is presented
On the Inverse Problem Relative to Dynamics of the w Function
In this paper we shall study the inverse problem relative to dynamics of the
w function which is a special arithmetic function and shall get some results.Comment: 11 page
Compression of Deep Neural Networks on the Fly
Thanks to their state-of-the-art performance, deep neural networks are
increasingly used for object recognition. To achieve these results, they use
millions of parameters to be trained. However, when targeting embedded
applications the size of these models becomes problematic. As a consequence,
their usage on smartphones or other resource limited devices is prohibited. In
this paper we introduce a novel compression method for deep neural networks
that is performed during the learning phase. It consists in adding an extra
regularization term to the cost function of fully-connected layers. We combine
this method with Product Quantization (PQ) of the trained weights for higher
savings in storage consumption. We evaluate our method on two data sets (MNIST
and CIFAR10), on which we achieve significantly larger compression rates than
state-of-the-art methods
Evolutionary computation enabled game theory based modelling of electricity market behaviours and applications
The collapse of the Californian electricity market system in 2001 has highlighted urgency in research in intelligent electricity trading systems and strategies involving both suppliers and customs. In their trading systems, power generation companies under the new electricity trading arrangement (NETA) of the UK are now developing gaming strategies. However, modelling of such "intelligent" market behaviours is extremely challenging, because traditional mathematical and computer modelling techniques cannot cope with the involvement of game theory. In this paper, evolutionary computation enabled modelling of such system is presented. Both competitive and cooperative game theory strategies are taken into account in evolving the intelligent model. The model then leads to intelligent trading strategy development and decision support. Experimental tests, verification and validation are carried out with various strategies, using different model scales and data published by NETA. Results show that evolutionary computation enabled game theory involved modelling and decision making provides an effective tool for NETA trading analysis, prediction and support
Critical behaviours of contact near phase transitions
A central quantity of importance for ultracold atoms is contact, which
measures two-body correlations at short distances in dilute systems. It appears
in universal relations among thermodynamic quantities, such as large momentum
tails, energy, and dynamic structure factors, through the renowned Tan
relations. However, a conceptual question remains open as to whether or not
contact can signify phase transitions that are insensitive to short-range
physics. Here we show that, near a continuous classical or quantum phase
transition, contact exhibits a variety of critical behaviors, including scaling
laws and critical exponents that are uniquely determined by the universality
class of the phase transition and a constant contact per particle. We also use
a prototypical exactly solvable model to demonstrate these critical behaviors
in one-dimensional strongly interacting fermions. Our work establishes an
intrinsic connection between the universality of dilute many-body systems and
universal critical phenomena near a phase transition.Comment: Final version published in Nat. Commun. 5:5140 doi:
10.1038/ncomms6140 (2014
Business integration models in the context of web services.
E-commerce development and applications have
been bringing the Internet to business and marketing
and reforming our current business styles and
processes. The rapid development of the Web, in
particular, the introduction of the semantic web and
web service technologies, enables business
processes, modeling and management to enter an
entirely new stage. Traditional web based business
data and transactions can now be analyzed,
extracted and modeled to discover new business
rules and to form new business strategies, let alone
mining the business data in order to classify
customers or products. In this paper, we investigate
and analyze the business integration models in the
context of web services using a micro-payment
system because a micro-payment system is
considered to be a service intensive activity, where
many payment tasks involve different forms of
services, such as payment method selection for
buyers, security support software, product price
comparison, etc. We will use the micro-payment case
to discuss and illustrate how the web services
approaches support and transform the business
process and integration model.
Adsorption/desorption and electrically controlled flipping of ammonia molecules on graphene
In this paper, we evaluate of the adsorption/ desorption of ammonia molecules
on a graphene surface by studying the Fermi level shift. Based on a physically
plausible model, the adsorption and desorption rates of ammonia molecules on
graphene have been extracted from the measured Fermi level shift as a function
of exposure time. An electric field-induced flipping behavior of ammonia
molecules on graphene is suggested, based on field effect transistor (FET)
measurements
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