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

Organizational models produced within computer science fields have proved to be effective communication tools in developing shared understandings of the design of organizations and systems. We argue that these models can also be valuable in capturing the actual implementation of organizations. However, this kind of usage requires the development of enterprise representations that (1) acknowledge the complexity of organizations and its agents and (2) are able of capturing the situated and dynamic behavior of organizational agents. This paper describes how engineering, cognitive and social approaches to context are integrated in a conceptual framework to model organizational agents and their contexts of interaction to address these issues. This integration is illustrated with examples from a case study.

Integrating engineering, cognitive and social approaches for a comprehensive modeling of organizational agents and their contexts

The Competency Architecture as Error Limiting Element and Efficiency Enhancer in Business Processes

Competency-based management i.e. linking and assigning work according to the competencies required, has been acknowledged as a key enabler of organizational effectiveness and highlights the importance of modeling organizational competencies. Whereas Enterprise Architectures (EA) model organizations from different perspectives that describe and inter-relate their processes and resources, most EA frameworks provide limited means to model competencies. Available competency modeling approaches rely on static classification models that prove difficult to adjust to the constant changes in competency requirements. We propose a bottom-up modeling approach for representing organizational competencies using semantic units such as actions, goals and resources that (1) provides a more flexible competency classification framework, (2) allows answering questions about different competency-related concerns, and (3) allows assessing the alignment between the competencies required by activities and the competencies held by the actors performing them. This paper describes the competency model proposed and a set of tools used in supporting the model building process. Some benefits of the model are illustrated with a case study in an organizational setting.

A Bottom-Up Competency Modeling Approach

Prediction plays a key role in many signal processing applications. Linear Prediction has, in particular, been extremely useful to the development of digital speech processing techniques and applications. There is however a growing need for improved forms of prediction. We discuss, in this paper, a form of non-linear prediction, namely, the prediction of the phase of speech signals. This study is conducted within a short-time analysis/synthesis framework and is based upon a new treatment of the classical speech production model. Experimental data are presented confirming the theoretical results. Finally the use of phase prediction to low-bit rate, high-quality coding applications is discussed.

A model for short-time phase prediction of speech

In a layered service-oriented enterprise architecture, business processes are supported by application services which are, in turn, supported by technological services. Service-orientation promotes the reuse and modular design of information systems. But achieving these design qualities requires the business processes of an organization to be consistently decomposed so that their supporting services can be effectively identified. This paper proposes using the separation of concerns principle to facilitate the consistent decomposition of a business process and the unambiguous identification of its atomic activities thus contributing to the task of identifying the supporting services.

José Tribolet

Papers

Integrating engineering, cognitive and social approaches for a comprehensive modeling of organizational agents and their contexts

The Competency Architecture as Error Limiting Element and Efficiency Enhancer in Business Processes

A Bottom-Up Competency Modeling Approach

A model for short-time phase prediction of speech

Identification of Services through Functional Decomposition of Business Processes