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

Several distance measures have been proposed for comparing sets of LPC coefficients. The most popular one has been the "log likelihood ratio" proposed by Itakura [1]. In this paper we discuss this measure (strictly speaking, a somewhat generalized version of it) from both a theoretical and a practical point of view. We derive its statistical properties both when the reference vector is known and when it is estimated from the data. We also show how these properties are affected by windowing, additive noise, and preemphasis. We present results of extensive simulations in support of the theoretical predictions. Finally, we argue that de Souza's [2] recent criticism of this measure is unjustified.

Statistical properties of an LPC distance measure

Pedro Sousa, Carla Pereira, Rute Vendeirinho, Artur Caetano, Jose Tribolet 1 Department of Information Systems and Computer Engineering, Instituto Superior Tecnico, Technical University of Lisbon, Portugal 2 Organizational Engineering Center, INESC INOV, Lisboa, Portugal 3 Link Consulting, S.A , Lisboa, Portugal 4 Sogrupo SI, Grupo CGD, Lisboa, Portugal {pedro.sousa, carla.pereira}@link.pt, rute.felix@cgd.pt, {artur.caetano, jose.tribolet}@inov.pt

http://ltodi.est.ips.pt/det2006/papers/Process/f9_P17.pdf

Applying the Zachman Framework Dimensions to Support Business Process Modeling

Organizations deal with contrasting domains such as people, strategy, business processes, and information systems as well as with their representation, alignment and governance In this setting, different approaches to enterprise architecture have been introduced to address these concerns This paper focuses on describing an enterprise architecture framework centered in three core concepts (role, entity and activity) from which domain-specific concepts are derived from The framework abstracts the organization's domains as five architectural views (organization, business, information, application and technology) and captures the concept dependencies and relationships across the different domains

A role-based enterprise architecture framework

In this paper, we propose an organizational model to describe the execution of business activities. The model offers a dynamic, actor centered, context based and business process oriented perspective of the organization that explicitly addresses the information and collaboration requirements derived from human multi-tasking capabilities. Actors are approached as a network of contexts managed by an “operating system”. Three kinds of actors are defined; human, business process and organization actor. Two context types are introduced. An action context defines the specific behavior and information needs of a human actor performing a task under a given role, at particular time intervals. Interaction contexts support and regulate activity-related interactions among action contexts. This modeling approach seeks to facilitate a personalized, proactive and timely knowledge support to human business actors. We illustrate these ideas with working examples.

/pdf/modeling-contexts-for-business-process-oriented-knowledge-326cpk6pt9.pdf

Modeling contexts for business process oriented knowledge support

This paper presents a method to analyse the consistency of a process model according to business transactions. Business transactions focus on specifying the pattern-based behaviour resulting from the collaboration between actors and systems while services and products are being requested and provided. The method makes possible assessing the consistency of a business process in terms of the business transactions that can be inferred from it. To do so, it takes as input a process model that is converted to a transactional model. The transactional model is then analysed and revised so that all transactions become consistent according to the pat-terns of DEMO. Finally, the original process model is revised to comply with the transactional model. As a result, the revised business process becomes consistent with the corresponding transactional model.

José Tribolet

Papers

Statistical properties of an LPC distance measure

Applying the Zachman Framework Dimensions to Support Business Process Modeling

A role-based enterprise architecture framework

Modeling contexts for business process oriented knowledge support

Using Business Transactions to Analyse the Consistency of Business Process Models