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

The current international financial situation is causing serious budgetary constraints at the level of governmental organizations. This chapter describes how the Portuguese Air Force, in response to financial constraints, has added effectiveness and efficiency to the management of scarce resources by adopting new artifacts. One of the tools adopted is the Integrated Operational Management Information System (SIGOP). At the operational level, this tool is used for storing execution data, with no relation with the planned operational objectives. In order to join planning and execution, this research used the theoretical support of the EX-ANTE and EX-POST Model, in conjunction with the Zachman framework, to propose the Operational Management Model, which allows accounting of access control, registration and validation mechanisms within the information systems, essential to the Organization. Also, inserting planning data and Key Performance Indicators increased the SIGOP capabilities and permitted alignment between strategic level management objectives and execution.

EX-ANTE and EX-POST Model: Contributions and Applications

The area of Spectral Analysis has grown considerably in recent years. A multitude of methods are now available and yet no tools have been developed to guide the naive user in the difficult process of choosing an adequate technique for his particular data problem. The purpose of this paper is to address, within a very general framework, the problem of choosing the "best" Spectral Analysis technique, from within a set of available methods and for a given class of data signals, according to some pre- -specified criteria. The foundations of the evaluation framework we propose are laid out in this paper. An in-depth study based on a particular evaluation methodology is reported, using a goodness of fit criterion derived from the works of Kedem and Slud [4,5]. Examples of this approach will be given for several data cases and several spectral analysis methods.

A framework for the evaluation of spectral analysis techniques

In order to study the nasalization of vowels, a set of CVCV utterances read by several speakers has been analyzed. The consonent C consisted of nasal consonant (/m/,/n/,/ŋ/) and voiced stops (/b/,/d/,/g/). The vowel V was one of seven vowels. The utterances were analyzed using predictive coding and cepstral prediction technics (to detect zero frequencies). Formant frequencies and bandwidth frequencies were studied to find acoustic correlates of vowel nasalization. The associated vowel affected which acoustic correlate of nasalization was most salient. For instance, the nasalization of the vowels /a/ and /ae/ are mainly characterized by a weakness of FI, whereas for the vowel /i/ a nasal formant with large bandwidth can be detected between the first and the second formant. Furthermore, the degree of shifting of the formant frequencies depends on the vowel. Possible application of the results to the detection of nasalization and the identification of nasalized vowels is discussed.

Acoustic characteristics of vowel nasalization

The functional decomposition of a business process breaks it down into progressively less granular activities. Decomposition contributes to the modular design of a system, the reuse of its parts and to its overall comprehensibility. But achieving these qualities requires a business process to be decomposed consistently, which implies it is always split into an identical set of activities according to a specific purpose, regardless of the modeller’s and modelling context. This paper describes an application of the principle of role-based separation of concerns to consistently decompose a business process into its constituent atomic activities, thus separating its distinct features and minimizing behaviour overlap. An activity is abstracted as collaboration between role types that are played by entities. The decomposition method successively separates the overlapping roles until an activity is specified as a collaboration of an orthogonal set of role types. The method facilitates the consistent decomposition of a business process and the identification of its atomic activities. The relevance of the method is assessed through a number of scenarios according to the guidelines of design science research.

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On the Use of a Role Ontology to Consistently Design Business Processes

Much time is lost in organisations in handling unknown exceptions because organisational models are not current or coherent with reality, and there is a lack of concepts and methods in Organisational Engineering (OE) for a continuous and timely update of models of organisational reality. To address these problems, a renowned methodology for OE – Design and Engineering Methodology for Organisations (DEMO) – is extended, enabling a precise and integrated modelling of three aspects that we consider to be part of the function perspective of an organisation: viability – norms of operation that ensure the viability of the organisation, dysfunctions and exceptions causing the dysfunctions; change – OE processes responsible for generation, operation and discontinuation of Organisational Artefacts (OAs) – e.g., business rules or organisational actors – to solve dysfunctions; architecture – design rules that guide the referred engineering processes, restricting the 'shape' of their end result – OAs.

José Tribolet

Papers

EX-ANTE and EX-POST Model: Contributions and Applications

A framework for the evaluation of spectral analysis techniques

Acoustic characteristics of vowel nasalization

On the Use of a Role Ontology to Consistently Design Business Processes

Towards a G.O.D. theory for Organisational Engineering: modelling the (re)Generation, Operation and Discontinuation of the enterprise