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

Low bit-rate, good-quality speech coding is one of the fundamental goals of today's speech processing research. Present-day coding techniques, like APC and ATC, are able to achieve good-quality transmission only down to about 12 kb/s. Below this rate, their quality degrades rapidly. On the other hand, the various kinds of vocoders, which operate up to about 5 kb/s, have inherent quality limitations which cannot be overcome by an increase of the bit rate. In this paper, a new coding scheme is presented, which is based on a recently developed spectral model for nonstationary voiced speech, and it forms the basis of a waveform coder and a vocoder which are introduced in this paper, and which share the same basic structure. Experimental results are presented, which show that both systems yield significant bit-rate reductions relative to present-day schemes of equivalent quality.

Harmonic coding: A low bit-rate, good-quality speech coding technique

Two commonly used signal analysis techniques are linear prediction and homomorphic filtering. Each has particular advantages and limitations. This paper considers several ways of combining these methods to capitalize on the advantages of both. The resulting techniques, referred to collectively as homomorphic prediction, are potentially useful for pole-zero modeling and inverse filtering of mixed phase signals. Two of these techniques are illustrated by means of synthetic examples.

Signal analysis by homomorphic prediction

This chapter describes the key concepts for modeling the organization’s enterprise architecture using the Unified Modeling Language (UML). Enterprise architecture consists on defining and understanding the different elements that shape the organization and how these elements are inter-related with the purpose of understand and facilitate organizational evolution and change. It separates core organizational concerns as different architectural views; the authors argue that modeling the multidimensional aspects of the enterprise should be organized into five architectural components: Organization, Business, Information, Application and Technological architectures. These five components are supported in a small set of fundamental concepts described using UML 2.0. Furthermore the authors argue that any organization model may be abstracted to three elements: Activity, Role and Entity. The authors also propose a set of rules for assessing the alignment between the enterprise architectural elements.

Enterprise Architecture Modeling with the Unified Modeling Language

In this paper, we investigate the support of enterprise architecture management (EAM) for enterprise transformation. Conceptualizing enterprises as systems, we draw on two theories that investigate static and dynamic system aspects, respectively – the theory of hierarchical, multi-level systems and control theory. From the theory of hierarchical, multi-level systems, we first introduce three orthogonal dimensions of hierarchy – layers, strata, and echelons. We then position EAM as a cross-dimensional transformation support function in this there-dimensional hierarchy space. Finally, we draw on control theory to derive a model of control and feedback loops that enables a designed EAM support of system-wide transformations. Using this model, we propose to extend the multi-level systems theory by a set of interlinked feedback loops as a fourth dimension. A case study of transformation in the Portuguese air force serves as an example illustrating the usefulness of the two theories for describing enterprise transformation.

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Transformation of Multi-level Systems – Theoretical Grounding and Consequences for Enterprise Architecture Management

Business objects are object-oriented representations of the concepts of interest in an organization, such as activities, resources and actors. Business objects collaborate with one another in order to achieve business goals, showing different behavior and properties according to each specific collaboration context. This means the same business object may be perceived differently depending on the business objects it is collaborating with. However, most approaches to business process modeling do not separate the collaborative aspects of a business object from its internal aspects. To cope with such issues, this paper makes use of role modeling to separate these concerns while increasing the understandability and reusability of business process models. This approach makes use of object-oriented concepts to separate a business process model into a business object model and a role model. The business object models deals with specifying the structure and intrinsic behavior of business objects, while the role model specifies its collaborative aspects.

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José Tribolet

Papers

Harmonic coding: A low bit-rate, good-quality speech coding technique

Signal analysis by homomorphic prediction

Enterprise Architecture Modeling with the Unified Modeling Language

Transformation of Multi-level Systems – Theoretical Grounding and Consequences for Enterprise Architecture Management

A Role-Based Framework for Business Process Modeling