A data decomposition middleware tool with a generic built-in work-flow

2013 ◽  
Author(s):  
Ahmad Salah ◽  
Kenli Li
Keyword(s):  
Work Flow ◽  
Data Decomposition

The use of partnered usability testing to help to identify gaps in online work flow

2006 ◽  
Author(s):  
Dianne Davis ◽  
Gordon Tait ◽  
Cindy Bruce-Barrett
Keyword(s):  
Usability Testing ◽  
Work Flow

dC/dV and CV Characterization of Gate Resistance Defects in eDRAM Circuits

2013 ◽  
Author(s):  
Sweta Pendyala ◽  
Dave Albert ◽  
Katherine Hawkins ◽  
Michael Tenney
Keyword(s):  
Deep Submicron ◽  
Work Flow ◽  
Localization Technique ◽  
Characterization Techniques ◽  
Capacitance Voltage ◽  
Gate Resistance

Abstract Resistive gate defects are unusual and difficult to detect with conventional techniques [1] especially on advanced devices manufactured with deep submicron SOI technologies. An advanced localization technique such as Scanning Capacitance Imaging is essential for localizing these defects, which can be followed by DC probing, dC/dV, CV (Capacitance-Voltage) measurements to completely characterize the defect. This paper presents a case study demonstrating this work flow of characterization techniques.

NVESTIGATION OF THE EFFICIENCY OF DISTRIBUTED INFORMATION SYSTEMS BASED ON THE PROCESSING OF LARGE AMOUNTS OF DATA

2019 ◽  
Author(s):  
Mykhajlo Klymash ◽  
Olena Hordiichuk — Bublivska ◽  
Ihor Tchaikovskyi ◽  
Oksana Urikova
Keyword(s):  
Distributed Systems ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
Data Decomposition ◽  
Distributed Information ◽  
Software Model ◽  
Computing Performance ◽  
Mapreduce Model ◽  
Singular Data

In this article investigated the features of processing large arrays of information for distributed systems. A method of singular data decomposition is used to reduce the amount of data processed, eliminating redundancy. Dependencies of com­putational efficiency on distributed systems were obtained using the MPI messa­ging protocol and MapReduce node interaction software model. Were analyzed the effici­ency of the application of each technology for the processing of different sizes of data: Non — distributed systems are inefficient for large volumes of information due to low computing performance. It is proposed to use distributed systems that use the method of singular data decomposition, which will reduce the amount of information processed. The study of systems using the MPI protocol and MapReduce model obtained the dependence of the duration calculations time on the number of processes, which testify to the expediency of using distributed computing when processing large data sets. It is also found that distributed systems using MapReduce model work much more efficiently than MPI, especially with large amounts of data. MPI makes it possible to perform calculations more efficiently for small amounts of information. When increased the data sets, advisable to use the Map Reduce model.

Introduction of Wireless Buzzer to Improve Efficiency in Gynecology Triage (Preprint)

2020 ◽  
Author(s):  
Nicholas Mark Stansbury ◽  
Erin Nelson
Keyword(s):  
Medical Students ◽  
Nurse Practitioners ◽  
Nursing Staff ◽  
Internal Control ◽  
Patient Flow ◽  
Low Cost ◽  
Work Flow ◽  
Optimal Time ◽  
Nursing Experience ◽  
Asking Questions

BACKGROUND Current workflow in GYN triage has medical students interviewing patients after triage by nursing staff. The optimal time to initiate patient contact is unclear. This confusion has led to duplication of questions to patients, interruptions for nurses and fewer patient encounters for students. OBJECTIVE Determine if a restaurant-style buzzer can streamline workflow in gynecology (GYN) triage. METHODS A Plan-Do-Study-Act approach was used. Stakeholders were medical students, nurses, Nurse Practitioners and physicians. Factors contributing to workflow slowdown: students re-asking questions of patients, interruption of nursing staff, confusion about optimal patient flow. The net result was fewer interviews completed by students. The project was introduced during clerkship orientation. Buzzers were provided on weeks 1, 3, 5 of the rotation. Weeks 2, 4, 6 no buzzers were provided as an internal control. After each clerkship, students received a survey assessing key areas of waste and workflow disruption. A focus group with ten nurses was also conducted. RESULTS From February-July 2019, 30/45 surveys were completed (66%) 1. Very difficult/difficult to know when to begin the encounter: 90% without; 21.4% with buzzer p<.001 2. Students re-asking questions: very often/often 96.7% without; 14.8% with buzzer p<.001 3. Nursing staff interruptions: 76.7% very often/often without; 18.5% with buzzer p<.001 4. The odds of interviewing 5 or more patients per shift are ~10X greater using the buzzer χ²=14.2; p<.001 CONCLUSIONS The 10 nurses interviewed unanimously favored the use of the buzzer. Introduction of a simple, low-cost restaurant-style buzzer improved triage work-flow, student and nursing experience.

Sign in / Sign up

Export Citation Format

Share Document