Tracking and Estimation of Multiple Cross-Over Targets in Clutter.

Tracking problems, including unknown number of targets, target trajectories behaviour and uncertain motion of targets in the surveillance region, are challenging issues. It is also difficult to estimate cross-over targets in heavy clutter density environment. In addition, tracking algorithms including smoothers which use measurements from upcoming scans to estimate the targets are often unsuccessful in tracking due to low detection probabilities. For efficient and better tracking performance, the smoother must rely on backward tracking to fetch measurement from future scans to estimate forward track in the current time. This novel idea is utilized in the joint integrated track splitting (JITS) filter to develop a new fixed-interval smoothing JITS (FIsJITS) algorithm for tracking multiple cross-over targets. The FIsJITS initializes tracks employing JITS in two-way directions: Forward-time moving JITS (fJITS) and backward-time moving JITS (bJITS). The fJITS acquires the bJITS predictions when they arrive from future scans to the current scan for smoothing. As a result, the smoothing multi-target data association probabilities are obtained for computing the fJITS and smoothing output estimates. This significantly improves estimation accuracy for multiple cross-over targets in heavy clutter. To verify this, numerical assessments of the FIsJITS are tested and compared with existing algorithms using simulations.

Exploration of a leadership competency model for medical school faculties in Korea.

PURPOSE: To adapt to rapid and turbulent changes in the field of medicine, education, and society, medical school faculties need appropriate leadership. To develop leadership competencies through education, coaching, and mentoring, we need a leadership competency model. The purpose of this study was to develop a new leadership competency model that is suitable for medical school faculties in Korea. METHODS: To collect behavioral episodes with regard to leadership, we interviewed 54 subjects (faculties, residents, nurses) and surveyed 41 faculties with open-ended questionnaires. We classified the behavioral episodes based on Quinn and Cameron's leadership competency model and developed a Likert scale questionnaire to perform a confirmatory factor analysis. Two hundred seven medical school faculties responded to the questionnaire. RESULTS: The competency clusters that were identified by factor analysis were professionalism, citizenship, leadership, and membership to an organization. Accordingly, each cluster was linked with a dimension: self, society, team (that he/she is leading), and organization (to which he/she belongs). The clusters of competencies were: professional ability, ethics/morality, self-management, self-development, and passion; public interest, networking, social participation, and active service; motivating, caring, promoting teamwork, nurturing, conflict management, directing, performance management, and systems thinking; organizational orientation, collaboration, voluntary participation, and cost-benefit orientation. CONCLUSION: This competency model that fits medical school faculties in Korea can be used to design and develop selection plans, education programs, feedback tools, diagnostic evaluation tools, and career plan support programs.