Mark Edward Dausch

Detecting Semantic Group Activities Using Relational Clustering

Existing approaches to detect modeled activities in video often require the precise specification of the number of actors or roles, or spatial constraints, or other limitations that create difficulties for generic detection of group activities. We develop an approach to detect group behaviors in video, where an arbitrary number of participants are involved. We address scene conditions with non-participating objects, an arbitrary number of instances of the behaviors of interest, and arbitrary locations for those instances. Our approach uses semantic spatio-temporal predicates to define activities, and relational clustering to identify groups of objects for which the relational predicates are mutually true over time. The algorithm handles conditions where object segmentation and tracking are highly unreliable, such as busy scenes with occluders. Results are shown for the group activities of crowd formation and dispersal on low-resolution, far-field video surveillance data.

Mass-customize service agreements for heavy industrial equipment

This research investigates the requirement for proactive service delivery for heavy industrial equipment and generalizes the results into a reference model for the development of service agreements in the field. The observer-participant method was used to develop and test the model with manufacturers of gas turbines, jet engines, and locomotives. The reference model organizes the requirements for information, processes, and service offerings and provides multiple views for different types of users. The reference model can also prescribe the contents of the service agreement based on goals dictated by the service provider and the customer; thus providing for mass-customization of the service agreement.

SENSOR INFORMATICS FOR MANUFACTURING

Abstract With the advent of very small low-cost, low-power sensors and wireless networking, new approaches to the processing of sensor data are required in manufacturing, and particularly in equipment and process diagnostics. The purpose of this paper is to describe and illustrate the nature of these changes, termed *** sensor informatics , that promise to transform the face of 21 st century manufacturing.

A Framework for Service Enterprise Integration: A Case Study

This paper presents a case study on a company that encountered numerous challenges resulting from mergers and acquisitions of other companies as well as a new strategy to promote organic growth. To address some of these challenges, a new process, systems, and applications were developed to enable the company to shift from providing primarily products to their customers to products and services. This new process together with the resources captures information on what services are performed, why the services are performed, and how the services are performed; thus facilitating this new business model. The results from this work position the company with a sustainable competitive advantage in the global marketplace.