Parity space-based fault detection for Markovian jump systems

This article deals with problems of parity space-based fault detection for a class of discrete-time linear Markovian jump systems. A new algorithm is firstly introduced to reduce the computation of mode-dependent redundancy relation parameter matrices. Different from the case of linear time invariant systems, the parity space-based residual generator for a Markovian jump system cannot be designed off-line because it depends on the history of system modes in the last finite steps. In order to overcome this difficulty, a finite set of parity matrices is pre-designed applying a unified approach to linear time invariant systems. Then the on-line residual generation can be easily implemented. Moreover, the problem of residual evaluation is also considered which includes the determination of a residual evaluation function and a threshold. Finally, a numerical example is given to illustrate the effectiveness of the proposed method

Learning gradients on manifolds

A common belief in high-dimensional data analysis is that data are concentrated on a low-dimensional manifold. This motivates simultaneous dimension reduction and regression on manifolds. We provide an algorithm for learning gradients on manifolds for dimension reduction for high-dimensional data with few observations. We obtain generalization error bounds for the gradient estimates and show that the convergence rate depends on the intrinsic dimension of the manifold and not on the dimension of the ambient space. We illustrate the efficacy of this approach empirically on simulated and real data and compare the method to other dimension reduction procedures.Comment: Published in at http://dx.doi.org/10.3150/09-BEJ206 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm

Effect due to charge symmetry violation on the Paschos-Wolfenstein relation

The modification of the Paschos-Wolfenstein relation is investigated when the charge symmetry violations of valence and sea quark distributions in the nucleon are taken into account. We also study qualitatively the impact of charge symmetry violation (CSV) effect on the extraction of $\sin^{2}\theta_{w}$ from deep inelastic neutrino- and antineutrino-nuclei scattering within the light-cone meson-baryon fluctuation model. We find that the effect of CSV is too small to give a sizable contribution to the NuTeV result with various choices of mass difference inputs, which is consistence with the prediction that the strange-antistrange asymmetry can account for largely the NuTeV deviation in this model. It is noticeable that the effect of CSV might contribute to the NuTeV deviation when the larger difference between the internal momentum scales, $\alpha_{p}$ of the proton and $\alpha_{n}$ of the neutron, is considered.Comment: 15 Latex pages, no figure, final version to appear in PR

Interfirm Alliance Linkages and Knowledge Transfer:An Exploratory Analysis of Mutual Cooperative Learning in an International Joint Venture in the Chinese Automotive Industry

The purpose of this thesis is to extend existing knowledge in interfirm knowledge transfer research and provide a rich description of the dynamic knowledge transfer process in alliance arrangements. An exploratory case study methodology is employed, and one international joint venture (IJV) project is investigated. The empirical evidence was derived from the researcher’s involvement with one auto IJV – Shanghai GM, an IJV formed between Shanghai Automotive Industry Corporation (SAIC) from P.R. China and General Motors (GM) from the United States. Data collection was conducted through primary and secondary sources including fieldwork interviews with Chinese and American executives respectively in the IJV, selected published sources as well as government officials, and consultants who were directly or indirectly involved with the case companies. Using CATPAC software as an analytical tool for textual analysis of the collected data, the following findings emerged. First, partner firms in Shanghai-GM reinforce the development of international cooperation as a means of increasing knowledge exchange and adaptation, such as enlarging the product ranges, and developing new car models. Second, partner firms are motivated to increase their knowledge transfer activities to increase competitive advantage levels to match or exceed those of other competitors. Both partner companies initially contributed differentiated sets of idiosyncratic and nonsubstitutable resources that are distinctively under the control of each partner. The Chinese side brings in locally embedded resources and country-specific knowledge. The foreign side contributes technology, managerial abilities, brand image, and financial resources. There is thus an asymmetrical relationship between the objectives of partners and the resources brought into the alliance: each partner firm tries to gain access to what the other puts into the joint venture. Third, relevant important preconditions and situational factors regarding knowledge transfer effectiveness in alliance context are also mentioned. Certain elements are identified as a critical barrier during the process. Fourth, IJV knowledge transfer actually occurred over a longitudinal period involving intensive interactions between the partners. Different types of knowledge were transferred over time starting with key technologies, management skills, followed by the tacit social and cultural knowledge. As time passed, both partner firms demonstrated effort and commitment in facilitating interfirm knowledge transfer practices. The IJV knowledge transfer performance finally influenced the nature of the interfirm partnership. This thesis provides a unique example which looks at the two-way learning processes for true knowledge creation and sharing in a cross-border collaborative organisation, demonstrating the performance of partner organisations in the process of IJV knowledge transfer. Based on literature reflections, tangible facts and interpretations, this thesis provides a deeper understanding of the organisational activities involving cooperation and the dynamic knowledge transfer routines, which is a significant extension of past static cross-sectional conceptualisations. This thesis also proposes an interfirm knowledge transfer and cooperative learning framework, which is emphasised that the issue of sharing knowledge in IJVs and bringing IJVs into profitability requires partner companies to engage in interpartner learning and to be able to benefit from the transfer of knowledge. A key implication for the firm, therefore, is the critical ability to deal effectively and efficiently with the transfer of knowledge resources and in so doing to gain a competitive advantage

Nucleon sea in the effective chiral quark model

The asymmetries of both light-flavor antiquark $\bar{d}(x)-\bar{u}(x)$ and strange-antistrange $s(x)-\bar{s}(x)$ distributions of the nucleon sea are considered with more details in the effective chiral quark model. We find that the asymmetric distribution of light-flavor antiquarks $\bar{d}(x)-\bar{u}(x)$ matches the experiment data well and that the asymmetry of strange and antistrange distributions can bring about 60-100% correction to the NuTeV anomaly of $\sin^{2}\theta_{w}$, which are three standard deviations from the world average value measured in other electroweak processes. The results on the correction to the NuTeV anomaly are insensitive to the inputs of the constituent quark distributions and the cut-off parameters. The ratios of $\bar{d}(x)/\bar{u}(x)$ and $s(x)/\bar{s}(x)$ are also discussed, and it is found that the ratio $s(x)/\bar{s}(x)$ is compatible with the available experiments with an additional symmetric sea contribution being considered effectively.Comment: 24 Latex pages, 8 figure