According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

Out of the Crisis

How to Do Things With Words

Building Leadership Effectiveness This program encourages leaders to develop practices that transform values into action, vision into realities, obstacles into innovations, and risks into rewards. Participants will be introduced to the five practices of exemplary leadership: modeling the way, inspiring a shared vision, challenging the process, enabling others to act, and encouraging the heart Coaching & Communicating for Performance Coaching & Communicating for Performance is a highly interactive program that will give supervisors and managers the opportunity to build skills that will enable them to share expectations and set objectives for employees, provide constructive feedback, more effectively engage in learning conversations, and coaching opportunities. Skillful Conflict Management for Leaders As a leader, it is important to understand conflict and be effective at conflict management because the way conflict is resolved becomes an integral component of our university’s culture. This series of conflict management sessions help leaders learn and put into practice effective strategies for managing conflict.

기독교 사역과 Leadership

A maximum likelihood (ML) estimator is developed for determining time delay between signals received at two spatially separated sensors in the presence of uncorrelated noise. This ML estimator can be realized as a pair of receiver prefilters followed by a cross correlator. The time argument at which the correlator achieves a maximum is the delay estimate. The ML estimator is compared with several other proposed processors of similar form. Under certain conditions the ML estimator is shown to be identical to one proposed by Hannan and Thomson [10] and MacDonald and Schultheiss [21]. Qualitatively, the role of the prefilters is to accentuate the signal passed to the correlator at frequencies for which the signal-to-noise (S/N) ratio is highest and, simultaneously, to suppress the noise power. The same type of prefiltering is provided by the generalized Eckart filter, which maximizes the S/N ratio of the correlator output. For low S/N ratio, the ML estimator is shown to be equivalent to Eckart prefiltering.

The generalized correlation method for estimation of time delay

This paper focuses on the class of speech enhancement systems which capitalize on the major importance of the short-time spectral amplitude (STSA) of the speech signal in its perception. A system which utilizes a minimum mean-square error (MMSE) STSA estimator is proposed and then compared with other widely used systems which are based on Wiener filtering and the "spectral subtraction" algorithm. In this paper we derive the MMSE STSA estimator, based on modeling speech and noise spectral components as statistically independent Gaussian random variables. We analyze the performance of the proposed STSA estimator and compare it with a STSA estimator derived from the Wiener estimator. We also examine the MMSE STSA estimator under uncertainty of signal presence in the noisy observations. In constructing the enhanced signal, the MMSE STSA estimator is combined with the complex exponential of the noisy phase. It is shown here that the latter is the MMSE estimator of the complex exponential of the original phase, which does not affect the STSA estimation. The proposed approach results in a significant reduction of the noise, and provides enhanced speech with colorless residual noise. The complexity of the proposed algorithm is approximately that of other systems in the discussed class.

Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator

A wide variety of distance measures for comparing sets of LPC coefficients have been proposed. The most popular one has been the log likelihood ratio test as proposed by Itakura [1]. Although this measure is both computationally efficient, and theoretically sound, de Souza, in a recent paper [2], found that the measured distribution of LPC distances was significantly different from the one predicted by theory. De Souza then proposed alternative statistical tests for measuring LPC distances. In this paper we present both theoretical and experimental results which show that there is, in general, excellent agreement between theory and practice when using the log likelihood ratio to measure LPC distance. Included in the paper are discussions of the effects of LPC analysis method (covariance or auto-correlation), the use of fixed pre-emphasis, and the effects of additive, uncorrelated noise on the distributions.

Statistical properties of an LPC distance measure

Multipulse LPC, as is often designated the model proposed by Atal and Remae, has been directed towards 9.6 kb/s speech coding. However, at such bit rate, the speech quality is not yet generally acceptable. This paper has a double purpose - one is to investigate the role of short-time phase in multipulse LPC. The other is to look for different modelling structures to be used with this method. This study was prompted by direct observation of the structure of the excitation, where patterns of pulses may be found which are associated with phase-correcting mechanisms of the LPC impulse response. Consequently, a new multipulse technique was developed, based on a special ARMA model formed by cascading an all-pole with an all-pass network. This new model will be referred to as the MAPAP (Multipulse All-Pole All-Pass) method. Another one was tried in which the synthetic speech is formed by combination of several MAPAP signals. We therefore denoted it "multichannel multipulse" method. The potential advantages of both single and multichannel models seem rather promising.

A study on short-time phase and multipulse LPC

Currently organizations, pushed by several business and technological changes, are more concern about Information systems (IS) than ever Though organizations usually still face each IS as a separately technological issue with slight relations with business domain This paper discusses the importance of the Information System Architecture (ISA) as the tool for ensuring a global view on IS and for explicitly assessing alignment between technology and business processes and strategies In this paper, considering the numerous topics, technologies and buzzwords surrounding ISA domain, we identify the major ISA open issues, namely: ISA Modelling, ISA Methodology, ISA Evaluation, IS Architectural Styles and Patterns, and IS/Business Alignment We also present our advances in addressing some of these issues, by proposing an approach for ISA evaluation and IS/Business Alignment measure This approach is supported on an ISA modelling framework and provides several indicators and measures for ISA evaluation This approach is applied to an IS health care project evaluation

http://www.inesc-id.pt/pt/indicadores/Ficheiros/1901.pdf

Open issues on information system architecture research domain: the vision

Dominated by the behavioral science approach for a long time, information systems research increasingly acknowledges design science as a complementary approach. The systematic design ("engineering") of artifacts is not restricted to information systems components. Being the conceptual foundations for information systems requirements, artifacts on the strategic and organizational level have to be engineered as well.

Editorial message: special track on organizational engineering

Enterprise modelling helps improving individual and organisational self-awareness by allowing sharing knowledge about the organisation among its human actors through graphical representations. In order to achieve this goal, enterprise models must not only offer a trustworthy and reliable representation of different enterprise concerns, but such representation must be up-to-date. The work presented in this paper defines a collaborative ‘as-is’ business process model updating process that uses the annotation mechanism to create interaction contexts and enable business actors to communicate their knowledge about organisational processes turning it explicit and to discuss existing process representations in order to update them. The proposed approach allows actors to act as active updaters and modellers of the as-is business process model by comparing modelled with actually executed activities. The benefits of this approach have been gathered through several case studies in real organisational environment where a collaborative enterprise modelling tool was deployed to support the defined process.

José Tribolet

Papers

Statistical properties of an LPC distance measure

A study on short-time phase and multipulse LPC

Open issues on information system architecture research domain: the vision

Editorial message: special track on organizational engineering

Collaborative maintenance of business process models