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

Business transaction models prescribe the design freedom restrictions of a process-based organization and are useful to share a common understanding between the stakeholders that have a diverse interpretation of it. However, business transaction models do not guarantee that the business actors perform them accordingly. Business actors, individually and/or collectively, operate the organization and also administrate and control (steer and transform) it, by means of observing the state of the world and then acting with purpose to change its state. Therefore, a business actor is simultaneous a controller agent and a controlled agent within an enterprise. Classical dynamic system control theories alone are not applicable in a straightforward way to an enterprise because of the prohibitive complexity needed for the comprehensive definition of the business transactions’ dynamics. This paper conceptualizes the alignment of business transactions models with operations performed at run-time by the business actors, grounded on the emerging field of Enterprise Engineering and well-known Dynamic Systems Control theory, to elicit purposeful design requirements for a full enterprise dynamic systems control solution. A preliminary Markov chain simulation aids in clarifying the design requirements intent for the observation concept. In this simulation, the business transactions are observed considering three distinct variables: state space, transition space and actor roles.

Conceptualizing Enterprise Dynamic Systems Control For Run-Time Business Transactions

The general organization of today results from a combination of elements that makes it a very complex entity, in which the operational and support dimensions should co-exist in a dynamic and constant balance, whose configuration must have flexible and adaptable mechanisms to the outside world. The operational dimension of the organization, in this context, performs a key role because it is linked to the executables that generate output to the exterior, representing the added value and allowing it to achieve measurable objectives. Business Processes perform a key role and are essential for ensuring the availability of resources for proper organization functioning. As processes increase in complexity, it is essential to identify, given the complexity of procedures, what is the relationship between the operational component (generator of value) and the support component and, also, how to draw, organize and manage an organization, in the human and material resources domain, considering i) multiple restrictions; ii) critical needs of real time; iii) various configurations. The Portuguese Air Force, based on a coherent set of principles, initiated a process of change. The core business, flying, is a proven success and the evolving principles can be used in the Organization itself to improve self-awareness.

Organizational and Design Engineering of the Operational and Support Components of an Organization: The Portuguese Air Force Case Study

Two of the coding methods which have appeared recently, attempting to solve the problem of high quality speech coding at bit rates below 9.6 kbits/sec are harmonic and stochastic coding. The two represent distinct approaches to this problem and yield synthetic speech of a very different kind. In this paper, we discuss the advantages and disadvantages of both methods for processing voiced and unvoiced speech segments, and examine the potential benefits of combining the two methods in coding applications.

A study on the realtionships between stochastic and harmonic coding

Enterprise artography is fundamental to govern the transformation processes of an organisation. The artefacts of enterprise cartography represent the structure and dynamics of an organisation from three temporal views: as-was (past), as- is (present), and to-be (future). These views are dynamically generated from a continuous process that collects operational data from an organisation. This paper defines a set of enterprise cartography principles and provides an account of its role in understanding the dynamics of an organisation. The principles are grounded on control theory and are defined as a realisation of the observer and modeller components of the feedback control loop found on dynamic systems. As a result, an organisation can be abstracted as a dynamic system where a network of actors collaborate and produce results that can be depicted using cartographic maps.

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The Role of Enterprise Governance and Cartography in Enterprise Engineering

Homomorphic deconvolution has been successfully applied in a variety of areas. In many cases of interest, including speech and seismic processing, the signals to be analyzed are non-stationary and approximately follow a convolutional model only on a short-time basis. Thus, a window is applied to the data. In this paper a first attempt is made to understand the interaction between short-time windowing and homomorphic deconvolution. A model for short-time homomorphic analysis is proposed, which provides a framework for the interpretation of window effects encountered in speech and seismic data processing.

José Tribolet

Papers

Conceptualizing Enterprise Dynamic Systems Control For Run-Time Business Transactions

Organizational and Design Engineering of the Operational and Support Components of an Organization: The Portuguese Air Force Case Study

A study on the realtionships between stochastic and harmonic coding

The Role of Enterprise Governance and Cartography in Enterprise Engineering

Short-time homomorphic analysis