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Secret sharing schemes on general access structures /Beiter, Bernd Michael. January 2008 (has links)
Zugl.: Tübingen, University, Diss., 2008.
A Study of Doctor-to-doctor and Doctor-to-patient Knowledge Sharing Practices: An Example of one Medical CenterLee, Yann-chun 30 January 2004 (has links)
In the medical industry, doctors play a core role in promoting and improving patients¡¦ health conditions. In this pursuit, effective knowledge sharing between doctors and doctors and between doctors and patients is a critical element. In this study, the theory of social recognition is adopted to research doctor-to-doctor and doctor-to-patient knowledge sharing practices in a medical Center. The results show that at the individual level, self-promotion, professional pride, and a doctor¡¦s personal traits may influence their knowledge sharing practices. At the environments level, the factors are the master-apprentice system, changing values, the reward system, Electronic Patient Record (EPR), the assurance system, the education of doctors, and the progression of medical technique. Both the individual and environmental then interact reciprocally with the behavioral patterns that can be characterized by the following: the nomadic relationship between doctors and patients, poor doctor-patient communication, hollow authority, Electronic Patient Record (EPR), the cooperation in the medical family, the solitary individuality, the friendship of colleagues, and the influence of atmosphere in the hospital. To promote doctor-to-doctor or doctor-to-patient knowledge sharing practices, we suggest that hospitals should develop the assistant system of medical procedure for patients. This system may broadcast the Q&A for patients in the waiting room, check medical examples, and provide pertinent explanations for medical conditions. Last, we propose the development of web-based services to promote teamwork, case database to support analysis, and a problem-based learning system to facilitate doctor-doctor knowledge sharing practices.
Reconstruction probability of distributed secret sharing schemes DissertationSans, Oda January 2006 (has links)
Zugl.: Hagen, Fernuniv., Diss., 2006
Managerial profit sharing an examination of the technique of basing the extra compensation of executives and managers on profits ...Balderston, C. Canby. January 1928 (has links)
Thesis (P.H.D.)--University of Pennsylvania, 1928. / Published also without thesis note. Bibliography: p. 123.
An analysis of applicability and effectiveness of retail profit sharingChou, Victor Ven Kai, January 1953 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1953. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves -205).
Job-sharing in a secondary school in Hong KongChim, Yin-chu, Cynthia. January 2008 (has links)
Thesis (M.Ed.)--University of Hong Kong, 2008. / Includes bibliographical references (p. 110-116).
Die gesetzliche Regelung der Arbeitergewinnbeteiligung unter besonderer Berücksichtigung der ausländischen GesetzgebungDichgans, Hans. January 1929 (has links)
Thesis (doctoral)--Rheinische Friedrich-Wilhelms-Universität zu Bonn, 1929. / Bibliography: p. 8-9.
Betrugserkennung in secret sharing schemes durch Tests auf KonsistenzStambke, Hans-Georg. January 2002 (has links) (PDF)
Giessen, Universiẗat, Diss., 2002.
A multi-agent collaboration model for knowledge sharingSloan, Nevena 31 August 2011 (has links)
M.Sc. / Knowledge has become a valuable resource for organisations contributing to their competitive advantage through innovation. Over the years, the capture of organisational information has grown to include structured information, such as corporate databases, as well as unstructured information, such as best practices, policies, rules and strategies. However, most of the organisational tacit knowledge gained through experience and development of expertise is never captured by the organisation and remains with employees, leaving the organisation whenever employees depart. The goal of the dissertation is to understand how knowledge travels through an enterprise, in order to gain insight into the possibilities of capturing organisational tacit knowledge, while encouraging employee collaboration. Based on this understanding, the aim is to propose a model that will allow knowledge sharing and encourage collaboration in order to present the organisation with an alternative knowledge base of daily user activities, organisational experiences and learning. The proposed collaboration model makes use of multiple agents, namely a user agent, a conversation manager agent, question analysis and query agents and a conversation classifier. The model aims to store knowledge base entries in an ontology-based structure and to leverage off the power of existing search engine technologies to perform searches. An implementation of the proposed model is discussed using Microsoft Office SharePoint Server, a popular enterprise collaboration platform, which assists implementation and user adoption.
The future of fully automated vehicles : opportunities for vehicle- and ride-sharing, with cost and emissions savingsFagnant, Daniel James 17 September 2014 (has links)
Fully automated or autonomous vehicles (AVs) hold great promise for the future of transportation, with Google and other auto manufacturers intending on introducing self-driving cars to the public by 2020. New automation functionalities will produce dramatic transportation system changes, across safety, mobility, travel behavior, and the built environment. This work’s results indicate that AVs may save the U.S. economy up to $37.7 billion from safety, mobility and parking improvements at the 10% market penetration level (in terms of system-wide vehicle-miles traveled [VMT]), and up to $447.1 billion with 90% market penetration. With only 10% market share, over 1,000 lives could be saved annually. However, realizing these potential benefits while avoiding pitfalls requires overcoming significant barriers including AV costs, liability, security, privacy, and missing research. Additionally, once fully self-driving vehicles can safely and legally drive unoccupied, a new personal travel transportation mode looks set to arrive. This new mode is the shared automated vehicle (SAV), combining on-demand service features with self-driving capabilities. This work simulates a fleet of SAVs operating within Austin, Texas, first using an idealized grid-based representation, and next using Austin’s actual transportation network and travel demand flows. This second model incorporates dynamic ride-sharing (DRS), allowing two or more travelers with similar origins, destinations and departure times to share a ride. Model results indicate that each SAV could replace around 10 conventionally-owned household vehicles while serving over 56,000 person-trips. SAVs’ ability to relocate unoccupied between serving one traveler and the next may cause an increase of 7-10% more travel; however, DRS can result in reduced overall VMT, given enough SAV-using travelers willing to ride-share. Furthermore, using DRS results in overall lower wait and service times for travelers, particularly from pooling rides during peak demand. SAVs should produce favorable emissions outcomes, with an estimated 16% less energy use and 48% lower volatile organic compound (VOC) emissions, per person-trip compared to conventional vehicles. Finally, assuming SAVs cost $70,000 each, an SAV fleet in Austin could provide a 19% return on investment, when charging $1 per trip-mile served. In summary, this new paradigm holds much promise that technological advances may soon realized. / text
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