Number Of Device Types Research Articles

The system of computer simulation and organizational management of large enterprises activity

Study on the construction of an integrated technical support is carried out by the example of organizational information systems (or administrative and economic) management activities of large organizations. As part of the management information system, comprehensive technical support related to other parts of the system, first of all, to the information database managementsystem, which covers all types of information required for planning and management, and an algorithm for processing this information. This means that not only the control system determines the required set of technical means, but it features a significant effect on the composition and organization of the management information system database. A feature of the integrated logistics is the variety of hardware functions, a large number of device types, different ways of interaction of the operator and equipment, the possibility of a different line-up and aggregation devices. The complex of technical means of information management systems have all the features of a complex system: versatility, availability feedbacks multicriteriality, hierarchical structure, the presence of allocated parts connected to each other by complex interactions, the uncertainty of the behavior of these parts, which is the result of the ultimate reliability of technical means and the influence of environmental disturbances . For this reason, the tasks associated with the creation of an integrated logistics management information system should be solved with the system approach. To maximize the efficiency of the information management system required the construction of technological complex with minimal installation and operation, which leads to the need to choose the optimal variant of technical means of the number of possible. The decision of the main objectives of integrated logistics can be reduced to the construction of the joint number of languages - character sets or alphabets describing the input and output information files, and rules for manipulating these alphabets, the application of which is optimized in certain respects a one-to-one correspondence between the information base and comprehensive technical support.

Board #316 - Technology Innovation A Lower Cost Solution to Track Simulation Activity for ROI Reports (Submission #8338)

Introduction Simulation programs, large and small, struggle with effectively tracking their activities, learners, faculty time, equipment and manikin use. In addition, return on investment (ROI) reports are tedious to build and often inaccurately reflect the simulation program’s successes while failing to capture the breadth of activities. Often data is inadequately tracked on multiple spreadsheets, on paper (such as sign-in and learner evaluations) or through survey systems. This leads to data fragmentation, requiring time to compile into meaningful reports. After assessing what our program needed to track for medical education, learner reports, system usage, administrative analysis and fiscal reports, we found that simulation-specific, higher-cost products were not the best option. We developed a commercial relational database to develop a data tracking system that allows us to report on multiple activities, analyze our learner population, create ROI reports for administrative reviews and capture supportive data for end of fiscal year budgetary considerations. This low cost alternative data collection system is both generalizable and reproducible for any size program with the ability to be scaled based on program changes. Description Recognizing the need to build accurate reports on our simulation program’s activities, we sought out a low cost, locally managed commercial solution to data tracking and reporting. As an operationalized program within a large academic hospital, we are required to provide ROI reports to administrative committees and to justify budgetary requests yearly. Like many programs, faculty and staff office time was limited. Data collection needed to be centralized, accessible and able to create reports that could be easily manipulated and produced. With a fiduciary responsibility to stay within the constraints of our budget, the solution we sought had to be a low cost alternative to a marketed simulation-specific product yet have the ability to capture data relevant to the program. After doing a needs analysis on the types of reports we required and the data we wanted to track, we used a relational database to build a data collection tool that can be easily and remotely updated to meet our program’s growth and future project needs. This database is managed internally but it can be remotely accessed from a number of device types and is available to all faculty and staff who would need to create reports or submit data, while retaining data security. Conclusion It is possible to develop an effective and intuitive data collection tool to track learners, faculty time, simulator and equipment usage, learner evaluations and projects of the simulation program with a commercial relational database. We had additional barriers to consider such as the majority of our simulation projects occurring in the in-situ setting requiring the need for remote tracking. We required the ability to use hand held devices, such as tablets or smart phones, as scanners, allowing for ease of data entry for faculty and learners as well as for sessions and in clinical areas, increasing the efficiency of data tracking. Reports were easily manipulated to be individualized for its desired intent. While a new process, we anticipate a reduction in office time for ROI reports and an increased efficiency in providing these reports to administrative groups and end of fiscal year budgetary meetings. We suggest that relational database programs are a low cost, effective alternative to large-scale commercial event planners and data collection systems that can be easily developed and used by any sized simulation program.

Entropy as a measure of diversity in an inventory of medical devices

Quantitative techniques for the measurement of species diversity have been developed in ecological studies. One such technique, based on an entropy measurement, has been applied to the assessment of medical device diversity in large inventories of medical equipment. Using this technique it is possible to identify trends which are not apparent from simple considerations of the total number of devices, or the number of device types. Objective measurements of this type can be used to monitor the progress of planned equipment replacement programmes.

Effect of conducted EMI on the DC performance of operational amplifiers

Electromagnetic interference can affect the performance of operational amplifiers even when the frequency is well above the usable frequency range of the amplifier. This can result in an apparent change in offset voltage. This effect is investigated experimentally with a number of device types.

Estimating Weibull Parameters for a General Class of Devices from Limited Failure Data

Relatively simple approaches to estimating Weibull parameters for a general class of devices are developed through regression models. It is assumed that data are collected on a number of device types belonging to a general class. For each device type, the only information available is the number of devices being observed, the total time observed and the total number of failures. By assuming a constant shape parameter and a scale parameter that may vary with the characteristics of the device-type, the least squares method is used to provide estimates of the parameters of a two-parameter Weibull distribution for both replacement and nonreplacement data. An approach is also suggested for dealing with troublesome cases of zero failure occurrences. A numerical example is provided to illustrate the approach.