Survey of Workload and Job Satisfaction Relationship in a Productive Company

Background and aims: Promotion of workers’ health and safety is one of the main tasks of managers and planners. One of the important sciences that can assist managers to achieve this gool is ergonomics. This article presents results of workload and job satisfaction survey in a heavy metal components manufacturing company in Tehran, in 2010. Methods: This cross sectional study conducted by survey of all operational workers. Workload is survived by NASA-TLX questionnaire that contained six dimensions and job satisfaction evaluated by short version of Minnesota questionnaire . Results: Job satisfaction questionnaire ’s reliability which assessed by Cronbach’s Alpha was 0.91. In addition, data analysis results declare that the average job satisfaction scale was 65 and at medium level and workload with 85.11 as average scale was at the high level. Effort and physical loads were two dimensions which have high amount in the workload In addition, no statistical significant relation was observed between the total job satisfaction score and workload score. (p<0.05). While the performance dimension showed a positive relationshipwith job satisfaction, frustration demonstrated a negative relationship with job satisfaction. Conclusion: In order to improve the work conditions the administrative and technological controls should be implemented and actions need to be taken to modify workload dimensions specially, two dimensions with the high amount and dimensions that have relationship with job satisfaction

Comparison of 3 Different Perioperative Care Models for Patients With Hip Fractures Within 1 Health Service

INTRODUCTION: Orthogeriatric care models have been introduced within many health-care facilities to improve outcomes for hip fracture patients. This study aims to evaluate differences in care between 3 models, an orthopedic model, a geriatric model, and a comanaged model. MATERIALS AND METHODS: A retrospective analysis was conducted for hip fracture patients treated at Western Health between November 2012 and March 2014. All patients aged 65 years or older were included in the analysis. RESULTS: There were 183 patients in the orthopedic model, 137 in the geriatric model, and 126 in the comanaged model. Demographics and clinical characteristics were similar across the 3 models. Length of stay, mortality, and discharge destination were also consistent across the 3 groups. However, groups involving geriatricians were more likely to receive preoperative medical assessments, have greater recognition of postoperative medical problems, and have implementation of long-term osteoporosis management. CONCLUSION: The involvement of geriatricians in perioperative care models resulted in more comprehensive medical care without impacting length of stay, mortality, or discharge destination

Privacy preserving multi-target tracking

Automated people tracking is important for a wide range of applications. However, typical surveillance cameras are controversial in their use, mainly due to the harsh intrusion of the tracked individuals' privacy. In this paper, we explore a privacy-preserving alternative for multi-target tracking. A network of infrared sensors attached to the ceiling acts as a low-resolution, monochromatic camera in an indoor environment. Using only this low-level information about the presence of a target, we are able to reconstruct entire trajectories of several people. Inspired by the recent success of offline approaches to multi-target tracking, we apply an energy minimization technique to the novel setting of infrared motion sensors. To cope with the very weak data term from the infrared sensor network we track in a continuous state space with soft, implicit data association. Our experimental evaluation on both synthetic and real-world data shows that our principled method clearly outperforms previous techniques.Anton Milan, B, Stefan Roth, Konrad Schindler, and Mineichi Kud

Performance measures and a data set for multi-target, multi-camera tracking

To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a new pair of precision-recall measures of performance that treats errors of all types uniformly and emphasizes correct identification over sources of error; (ii) the largest fully-annotated and calibrated data set to date with more than 2 million frames of 1080 p, 60 fps video taken by 8 cameras observing more than 2, 700 identities over 85 min; and (iii) a reference software system as a comparison baseline. We show that (i) our measures properly account for bottom-line identity match performance in the multi-camera setting; (ii) our data set poses realistic challenges to current trackers; and (iii) the performance of our system is comparable to the state of the art