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

This document focuses on information and all the dynamics associated with it, particularly in combination with one or more information systems.

Definition of the Model of Automatic Calculation of Flight Time Cost of the Portuguese Air Force Weapon Systems

The as-is business process model represents the operational view of the organizations. Its creation effort is associated with several business activities such as (1) requirements gathering to build information systems, (2) implementing quality management systems, (3) re-engineering activities and the improvement of business processes. However, even recognizing its importance in supporting these business activities, the business process model is normally discarded after being used because it is not updated and does not follow the dynamics of organizational change. This paper describes the development of a tool that aims to implement the as-is business process model dynamic update process. The tool recognizes all organizational actors as key agents to reduce the gap between the executed processes and its representation. The tool was tested in a governmental organization where the organizational actors have detected several misalignments between the modeled activities and the real ongoing activities, which after been discussed were turned into corrections to the distributed model.

MAPA: Monitoring and Annotation of Processes and Activities

High quality speech coding at medium-to-low bit rates is presently one of the major goals in speech research. Stochastic coding represents an important step towards this objective. Yet, the quality of synthetic speech is still not always good enough. A subjectively important part of the distortion may arise from imperfect reproduction of voiced regions, where the harmonic structure is not was well marked in the synthetic signal as it is in the original speech signal. Postprocessing of synthetic signals using harmonic modelling arises as a natural solution to reduce this distortion. The disadvantages of this method in terms of additional delay, complexity and dependency on high precision pitch detectors can be well counter-balanced by the higher quality of resynthesised speech signals in voiced regions. >

Harmonic postprocessing of speech synthesised by stochastic coders

Governance: Decision-making Model and Cycle

Purpose – The aim of this article is to: provide an overview of the role of organizational simulators as essential tools to assess, at early stages of the planning phase, organizational objectives and strategy; propose recommendations on how to advance the subject area in terms of research and development; demonstrate that aeronautical concepts can be applied in the organizational context. Design/methodology/approach – The article refers concepts and theories related with the subject and presents a methodology for social investigation, which was used in this research. Findings – Organizational simulators have a fundamental role in organizational self-awareness because they help to control the organization's vital parameters, in a proactive manner, considering the creation of different scenarios that allow, beforehand, a predictive assessment. Research limitations/implications – The research provides empirical evidence of use in the operational domain of the Portuguese Air Force and also an example of the ...

José Tribolet

Papers

Definition of the Model of Automatic Calculation of Flight Time Cost of the Portuguese Air Force Weapon Systems

MAPA: Monitoring and Annotation of Processes and Activities

Harmonic postprocessing of speech synthesised by stochastic coders

Governance: Decision-making Model and Cycle

Strategy essentials: organizational simulators