Press Tonnage Signal Decomposition and Validation Analysis for Transfer or Progressive Die Processes

2005 ◽  
Vol 127 (1) ◽  
pp. 231-235 ◽  
Author(s):  
Jionghua Jin ◽  
Jianjun Shi
Keyword(s):  
Data Analysis ◽  
Signal Decomposition ◽  
Progressive Die ◽  
Associated Data

A transfer or progressive die process consists of multiple stations working simultaneously in each stroke. This paper aims to develop a new methodology that can decompose press tonnage signals to obtain individual station signals without using in-die sensors. In the paper, two different tonnage decomposition tests, as well as the associated data analysis algorithms, are developed. Statistical profile analyses and an in-die sensor test were conducted to validate the proposed methodology.

scholarly journals PlateEditor: A web-based application for the management of multi-well plate layouts and associated data

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252488
Author(s):  
Vincent Delorme ◽  
Minjeong Woo ◽  
Virginia Carla de Almeida Falcão ◽  
Connor Wood
Keyword(s):  
Data Analysis ◽  
Open Source ◽  
Dose Response ◽  
Response Curves ◽  
Web Based ◽  
Speed Up ◽  
Definition Of ◽  
Client Side ◽  
Associated Data ◽  
Multiple Conditions

Multi-well plates are convenient tools to work with in biology experiments, as they allow the probing of multiple conditions in a compact and economic way. Although both free and commercial software exist for the definition of plate layout and management of plate data, we were looking for a more flexible solution, available anywhere, free from download, installation and licensing constraints. In this context, we created PlateEditor, a free web-based, client-side application allowing rapid creation of even complex layouts, including dose-response curves and multiple combination experiments for any plate format up to 1536 wells. PlateEditor also provides heatmap visualization and aggregation features to speed-up the process of data analysis and formatting for export in other application. Written in pure JavaScript, it is fully open-source, can be integrated in various workflows and has the potential to be extended with more functionalities in the future.

Hierarchical Regression Model for Truck Collision Severity Analysis

2013 ◽  
Vol 671-674 ◽  
pp. 2889-2892 ◽  
Author(s):  
Hui Li Wang ◽  
Zhong Ke Shi
Keyword(s):  
Data Analysis ◽  
Hierarchical Model ◽  
Safety Concern ◽  
Weather Condition ◽  
Safety Performance ◽  
Segment Length ◽  
Hierarchical Regression ◽  
Factors Affecting ◽  
Hierarchical Regression Model ◽  
Associated Data

Collisions involving trucks have long been a major safety concern for the collision severity. This paper describes the rationale and construction of a hierarchical model that can be used to assess severity of truck collisions in a freeway network. The outcome of models and associated data analysis revealed that presence of ramp and freeway segment length were important factors affecting truck safety performance. Furthermore, weather condition was found to be a significant factor in the severity of truck collisions. Using these models, practitioners can identify freeway sites where truck crashes are more likely to occur and then take measure to mitigate the severity.

scholarly journals Numerical Optimization to AI, and Back

2019 ◽  
Vol 33 ◽  
pp. 9894-9895
Author(s):  
Sathya N. Ravi
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Numerical Optimization ◽  
Research Work ◽  
Statistical Machine Learning ◽  
Machine Learning Applications ◽  
The Impact ◽  
Associated Data

The impact of numerical optimization on modern data analysis has been quite significant. Today, these methods lie at the heart of most statistical machine learning applications in domains spanning genomics, finance and medicine. The expanding scope of these applications (and the complexity of the associated data) has continued to raise the expectations of various criteria associated with the underlying algorithms. Broadly speaking, my research work can be classified into two AI categories: Optimization in ML (Opt-ML) and Optimization in CV (Opt-CV).

Microchemical imaging in biomedical research

1992 ◽  
Vol 50 (2) ◽  
pp. 1118-1119
Author(s):  
P. Ingram
Keyword(s):  
Data Analysis ◽  
Electron Probe ◽  
The Other ◽  
X Ray ◽  
Cell Element ◽  
Physiological Information ◽  
Functional States ◽  
Elemental Maps ◽  
Electron Energy Loss ◽  
Secondary Ion

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.

Perceptions of a Collaborative Professional Learning Program: Seeing the “Bigger Picture”

2020 ◽  
Vol 5 (1) ◽  
pp. 290-303
Author(s):  
P. Charlie Buckley ◽  
Kimberly A. Murza ◽  
Tami Cassel
Keyword(s):  
Data Analysis ◽  
Professional Learning ◽  
Social Communication ◽  
Special Educators ◽  
Service Providers ◽  
Integrative Approach ◽  
Theory Approach ◽  
Learning Program ◽  
Speech Language Pathologists ◽  
Related Service

Purpose The purpose of this study was to explore the perceptions of special education practitioners (i.e., speech-language pathologists, special educators, para-educators, and other related service providers) on their role as communication partners after participation in the Social Communication and Engagement Triad (Buckley et al., 2015 ) yearlong professional learning program. Method A qualitative approach using interviews and purposeful sampling was used. A total of 22 participants who completed participation in either Year 1 or Year 2 of the program were interviewed. Participants were speech-language pathologists, special educators, para-educators, and other related service providers. Using a grounded theory approach (Glaser & Strauss, 1967 ) to data analysis, open, axial, and selective coding procedures were followed. Results Three themes emerged from the data analysis and included engagement as the goal, role as a communication partner, and importance of collaboration. Conclusions Findings supported the notion that educators see the value of an integrative approach to service delivery, supporting students' social communication and engagement across the school day but also recognizing the challenges they face in making this a reality.

Communicative Performance of Adolescents with Severe Speech Impairment

1989 ◽  
Vol 54 (3) ◽  
pp. 403-421 ◽  
Author(s):  
Beth M. Dalton ◽  
Jan L. Bedrosian
Keyword(s):  
Data Analysis ◽  
Peer Interactions ◽  
Consistent Pattern ◽  
Clinical Implications ◽  
Speech Impairment ◽  
Communication Mode ◽  
Mode Function ◽  
Communicative Performance ◽  
Therapy Room ◽  
Communication Board

The communicative performance of 4 preoperational-level adolescents, using limited speech, gestures, and communication board techniques, was examined in a two-part investigation. In Part 1, each subject participated in an academic interaction with a teacher in a therapy room. Data were transcribed and coded for communication mode, function, and role. Two subjects were found to predominantly use the speech mode, while the remaining 2 predominantly used board and one other mode. The majority of productions consisted of responses to requests, and the initiator role was infrequently occupied. These findings were similar to those reported in previous investigations conducted in classroom settings. In Part 2, another examination of the communicative performance of these subjects was conducted in spontaneous interactions involving speaking and nonspeaking peers in a therapy room. Using the same data analysis procedures, gesture and speech modes predominated for 3 of the subjects in the nonspeaking peer interactions. The remaining subject exhibited minimal interaction. No consistent pattern of mode usage was exhibited across the speaking peer interactions. In the nonspeaking peer interactions, requests predominated. In contrast, a variety of communication functions was exhibited in the speaking peer interactions. Both the initiator and the maintainer roles were occupied in the majority of interactions. Pertinent variables and clinical implications are discussed.

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