Motion analysis deals with determining what and how activities are being performed by a subject, through the use of sensors. The process of answering the what question is commonly known as classification, and answering the how question is here referred to as characterization. Frequently, combinations of inertial sensor such as accelerometers and gyroscopes are used for motion analysis. These sensors are cheap, small, and can easily be incorporated into wearable systems. The overall goal of this thesis was to improve the processing of inertial sensor data for the characterization of movements. This thesis presents a framework for the development of motion analysis systems that targets movement characterization, and describes an implementation of the framework for gait analysis. One substantial aspect of the framework is symbolization, which transforms the sensor data into strings of symbols. Another aspect of the framework is the inclusion of human expert knowledge, which facilitates the connection between data and human concepts, and clarifies the analysis process to a human expert. The proposed implementation was compared to state of practice gait analysis systems, and evaluated in a clinical environment. Results showed that expert knowledge can be successfully used to parse symbolic data and identify the different phases of gait. In addition, the symbolic representation enabled the creation of new gait symmetry and gait normality indices. The proposed symmetry index was superior to many others in detecting movement asymmetry in early-to-mid-stage Parkinson's Disease patients. Furthermore, the normality index showed potential in the assessment of patient recovery after hip-replacement surgery. In conclusion, this implementation of the gait analysis system illustrated that the framework can be used as a road map for the development of movement analysis systems.

This dissertation describes the development and implementation of a rule based expert system for the design of computer systems' hardware configurations utilizing a portable workload model based on user/process profiles, local optimization rules and architectural constraints. The systems' configuration expert was designed within the framework of an expert system lifecycle model. The lifecycle model provides an useful methodology to support the design of expert systems. Expert systems are proposed as a means for automated support for decision making in systems analysis and design, especially for those less structured tasks that occur during problem definition, requirements analysis and logical design. The development of the systems' configuration expert was simplified by the use of an integrated rule base management tool: NEWES. NEWES allows for data driven inference, flexible conflict resolution, multiple concurrent rule bases, relational data base like access to short term memory and frame based object definition of short term memory.

Hypertext is the dominant method to navigate the Internet, providing user freedom and control over navigational behaviour. There has been an increase in converting existing educational material into Internet web pages but weaknesses have been identified in current WWW learning systems. There is a lack of conceptual support for learning from hypertext, navigational disorientation and cognitive overload. This implies the need for an established pedagogical approach to developing the web as a teaching and learning medium. Guided Discovery Learning is proposed as an educational pedagogy suitable for supporting WWW learning. The hypothesis is that a guided discovery environment will produce greater gains in learning and satisfaction, than a non-adaptive hypertext environment. A second hypothesis is that combining concept maps with this specific educational paradigm will provide cognitive support. The third hypothesis is that student learning styles will not influence learning outcome or user satisfaction. Thus, providing evidence that the guided discovery learning paradigm can be used for many types of learning styles. This was investigated by the building of a guided discovery system and a framework devised for assessing teaching styles. The system provided varying discovery steps, guided advice, individualistic system instruction and navigational control. An 84 subject experiment compared a Guided discovery condition, a Map-only condition and an Unguided condition. Subjects were subdivided according to learning styles, with measures for learning outcome and user satisfaction. The results indicate that providing guidance will result in a significant increase in level of learning. Guided discovery condition subjects, regardless of learning styles, experienced levels of satisfaction comparable to those in the other conditions. The concept mapping tool did not appear to affect learning outcome or user satisfaction. The conclusion was that using a particular approach to guidance would result in a more supportive environment for learning. This research contributes to the need for a better understanding of the pedagogic design that should be incorporated into WWW learning environments, with a recommendation for a guided discovery approach to alleviate major hypertext and WWW issues for distance learning.

No description available.

International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, Nevada / As on-board satellite systems develop increased sophistication and autonomous capabilities, failures become fewer, but the diagnosis of the remaining failures becomes more complex. In addition, autonomy requirements for space vehicles are being issued along with requirements for reduced staffing of ground stations. Thus successful groundbased fault handling in the future will require greatly increased automation of fault detection and diagnosis. This paper investigates the use of an expert system as a ground system component for diagnosis. The diagnostic cycle of the system is presented, along with requirements for its knowledge base. The results of implementing the design to diagnose part of a satellite attitude control system are given. Knowledge acquisition for this problem centered on the generation and analysis of terminal displays of telemetry which look much like strip charts. Correct diagnosis by the expert system derived from the use of extensive telemetry analysis, operations and satellite status databases, and satellite modeling.

No description available.

An analog study was devised to examine perceived differences between psychiatrists and psychologists in providing expert testimony on the insanity defense. The effects of issue involvement and initial attitude were also assessed. Subjects who had been exposed to the differences in training between the professionals were used. In a pilot investigation, subjects were exposed to identical testimony from a defense expert identified either as a psychiatrist or psychologist. Medical bias, as measured by the tendency to concur with the expert recommendations and endorse attitudes consistent with the M.D., was confirmed. This finding was especially strong among pro insanity defense subjects with low issue involvement. The failure to find a similar pattern among anti-insanity defense subjects with low issue involvement was thought to be an artifact of the absence of opposing testimony. The overall failure of highly involved anti insanity defense subjects to reach verdicts consistent with their initial attitudes, was also thought to result from the lack of opposing testimony. The primary study was designed to clarify the findings of the pilot investigation and to approximate a more authentic court situation by including an opposing expert. Witness credentials were manipulated while testimony remained constant. Some subjects were exposed to the Ph.D. for the defense and M.D. for prosecution and others to the M.D. for the defense and Ph.D. for the prosecution. Medical bias was evident in this study, again measured by the tendency to follow the recommendations of the M.D. and endorse attitudes consistent with those recommendations. Additionally, subjects tended to evaluate the psychiatrist more favorably than the psychologist. Subjects with low issue involvement were more susceptible to the influence of the medical expert. Highly issue involved subjects maintained their initial attitudes. Attitudes, issue involvement and credentials seemed to affect memory for facts of the case. In some instances, initial attitudes became stronger when mock jurors were exposed to the opposing view (polarization). Implications and limits of these findings were explored.

An information center (IC) is described as an organization designed to help end users help themselves. ICs are expected to provide several services to end users. The services can be summarized as: consultation, distribution and trouble-shooting. The research is focused on a specific consultation activity: software selection. Providing support for selection and evaluation of software for users constitutes 91.5 percent of a typical IC's daily workload. In the last decade, ICs have proved successful in managing software resources for organizations. The initial success of ICs has increased user expectations and demand for the services offered but, because ICs are considered cost centers in most organizations, there is growing pressure for them to accomplish more with fewer resources. The research hypothesis is that the knowledge and methodologies of IC consultants, concerning software selection, as well as relevant institutional policies, can be represented in a knowledge base. A knowledge-based system ICE (Information Center Expert) to assist users with software selection has been developed and evaluated in the study reported here. The development of ICE used two main design criteria: maintainability and transportability. Maintainability was defined as the ability to support frequent updating of the software supported by an IC. This is important because new software tools are introduced in the market at a very rapid rate; to stay competitive an IC must be able continually to adapt to this dynamic environment. Transportability was considered necessary to make ICE usable in many different ICs, each supporting a different set of software. The transportability feature allows different ICs to individualize the system to meet their own site-specific needs. Validation studies were conducted to test the appropriateness of the recommendations made by ICE, using "blind" validation procedures in which scenarios (in case form) were presented to consultants. The cases were selected to represent problems frequently taken to an IC. Two sets of solutions, those offered by consultants and those provided by ICE, were then presented to experts who were asked to judge the appropriateness of each solution to a case without knowing its source. To test the comparative advantages of using ICE or IC consultants to obtain assistance with software selection a laboratory experiment was conducted. A hypothetical construct called "Consultation Effectiveness" was used, which included measures for "user satisfaction" with the process, as well as measures for the "task basis" and the "recommendation basis" for evaluating a consultation session.

Group Decision Support System (GDSS) pre-session planning is a complex task requiring considerable expertise. GDSS pre-session planning involves the selection of group participants and GDSS tools for a subsequent computer-supported group meeting. An effective plan is required to achieve a successful meeting (success measured by the time and cost necessary to reach an outcome satisfactory to group participants). This research investigates the nature of GDSS pre-session planning and the knowledge that is applied when expert human facilitators plan for collaborative work. A model of and a prototype expert system for GDSS tool selection were developed from the documented knowledge of pres-session planning. The model and system were then revised as a result of extensive consultations with domain experts. The expert system was verified by comparing human experts' recommendations with the system's recommendations (there was no significant difference between the two sets of recommendations). The usefulness of the system was tested by comparing facilitators' and non-facilitators' (with and without the use of the expert system) recommendations with those of human experts in a 2 by 2 factorial design. Results show that facilitators and non-facilitators who use the system are better able to select the tools experts have chosen than they would have otherwise. When they are not using the system, facilitators and non-facilitators perform equally well in selecting the tools experts have judged most appropriate (both groups differ significantly from the experts' recommendations). This research contributes to knowledge of pre-session planning for GDSS sessions with a particular emphasis on the tool selection process. However, further research on the development of a complete session agenda is needed.

The problem approached in this thesis is how to help the novice do image processing with a rule-based system. An interactive expert system prototype, which includes the image processing functions of SADIE, has been created. A software interface between the image processing environment, SADIE, and the expert system tool, CLIPS, has been coded in standard C. Knowledge about low-level image processing (contrast enhancement and noise suppression) has been successfully implemented in the CLIPS program. The experimental results have shown that this system is efficient and friendly. Although this system was developed on a VAX under VMS, it is easily modified for most machines because it includes the portability of CLIPS. With only a minimal amount of work, we also can incorporate the system with the new SADIE C version, which has been developed in another project.