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

Modeling the Function Perspective in ODE: Improving Unknown Exception Handling and Change

To improve the speech quality at lower bit rates within a digital communication system in which the coefficients of a frequency transform (e.g. discrete cosine transform) are adaptively encoded with adaptive quantization and adaptive bit-assignment, the adaptation is controlled by a short-term spectral estimate signal formed by combining the formant spectrum and the pitch excitation spectrum of the coefficient signals.

Speech signal processing circuit

If the organizational model was a trustworthy and updated representation of the organizations, in all of its aspects and perspectives, it could be permanently used as support base to most operational and management tasks, using all its capacities for capturing, representing and distributing organizational knowledge. However, the use of this model is normally restricted in time in order to support some organizational activities, instead of being a solid foundation to support the organizational daily activities acting as an organizational knowledge repository. This is a result of the difficulty to maintain the model updated and aligned with the reality. The research in Organizational Engineering is already mature in defining modeling artefacts, modelling languages and the necessary views to adequate the model to the users, promoting its usage in a continuous baseline. This paper propose a process to maintain the As-Is Organizational Model updated. The strategy presented considers the organizational model as a representation of the organizational conscience, continuously aligned with the reality.

As-is continuous representation in organizational engineering

Business processes modeling became a fundamental task for organizations. To model business processes is necessary to know all the activities as well as consumed and produced informational resources. From this knowledge, abstractions are constructed, which allow elaborating a highlevel business process model. This modeling process, which goes from the survey of the activities of the organizational units to the construction of a business model, follows a bottom-up approach. However, the majority of the existing business processes modeling tools follow a top-down approach, more adjusted to the To Be modeling, what makes the development of the As Is modeling more difficult. These tools start from the high-level business processes models, which became detailed to a more granular level through the decomposition in activities, the opposite of the necessary for the As Is modeling. This document establishes a methodology for the survey, analysis and validation of the information necessary for As Is business processes modeling, conjugating top-down and bottom-up approaches, in an iterative and articulated way.

http://www.inesc-id.pt/pt/indicadores/Ficheiros/204.pdf

Survey, Analysis and Validation of Information for Business Process Modeling.

Enterprises are dynamical systems, formed by a semantic web of active servers of two kinds: Carbon-based servers, normally called Humans, and silicon-based servers, called Computers. These active elements change the state of the world through their individual and collective orchestrated networked actions, in real time. All an enterprise "does" is the sum total of the actions of its active servers. No more, no less! An Enterprise is an entity by itself, whose existence is associated with intentions, missions, goals and purposes that are in some degree shared by its active elements and inform the prescribed organizational elements of its structures. An Enterprise is under permanent change, due to external and internal conditions, and the enacted changes occur either by spontaneous actions of its active servers or by intentional systemic change that propagates top-down and is purposefully adopted by the baseline servers. This talk will show how relevant is the Engineering Body of Knowledge of Systems Theory and Dynamic Systems Control and the formal principles and methods of Enterprise Engineering to model, design and operate Enterprises and in particular, how to steer top-down strategic transformations and to combine them with adaptive bottom-up emergent adaptive phenomena.

José Tribolet

Papers

Modeling the Function Perspective in ODE: Improving Unknown Exception Handling and Change

Speech signal processing circuit

As-is continuous representation in organizational engineering

Survey, Analysis and Validation of Information for Business Process Modeling.

An Engineering Approach to Natural Enterprise Dynamics - From Top-down Purposeful Systemic Steering to Bottom-up Adaptive Guidance Control.