scholarly journals An efficient FIFO buffer management to ensure task level and effect-chain level data properties

2020 ◽  
Author(s):  
Evariste Ntaryamira ◽  
Cristian Maxim ◽  
Therence Niyonsaba ◽  
Liliana Cucu-Grosjean
Keyword(s):  
Buffer Management ◽  
Level Data ◽  
Chain Level ◽  
Task Level

Development of an Integrated, Adaptable CNC System

2009 ◽  
pp. 283-296
Author(s):  
Xun Xu
Keyword(s):  
Cnc Machine Tools ◽  
Manufacturing Companies ◽  
Cnc Machine ◽  
Cnc System ◽  
Design Information ◽  
Level Data ◽  
Level Information ◽  
Function Blocks ◽  
And Function ◽  
Task Level

In order to prepare manufacturing companies to face increasingly frequent and unpredictable market changes with confidence, there is a recognized need for CNC machine tools to be further advanced so that they become more integrated with design models and adaptable to uncertain machining conditions. For a CNC system to be able to access any design information, this design information has to be at the task-level, that is what-to-do. For a CNC system to produce the final part, it has to turn the task-level information into method-level information which effectively is the machine control data. These topics are discussed at the beginning of this chapter. The rest of the chapter discusses a CNC native database used for converting the task-level data to method-level data, the methodology of converting the task-level data to methodlevel data, and implementation of the methodology to a conventional CNC machine that employs G-codes. Again both STEP-NC (ISO 14649-1, 2003) and function blocks (IEC 61499, 2005) are used.

An Extension of the REA Framework to Support Balanced Scorecard Information Requirements

2007 ◽  
Vol 21 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Kim S. Church ◽  
Rod E. Smith
Keyword(s):  
Balanced Scorecard ◽  
Value Chain ◽  
Information Architecture ◽  
Financial Resources ◽  
Management Systems ◽  
Information Requirements ◽  
The Balanced Scorecard ◽  
Nonfinancial Measures ◽  
Chain Level ◽  
Task Level

In this paper, we propose extensions to the resource-event-agent (REA) framework to encompass the information requirements of the balanced scorecard and other management systems that incorporate nonfinancial measures. The REA conceptual accounting framework was designed to describe the information architecture related to an organization's economic activity (e.g., McCarthy 1982; Dunn et al. 2005). Geerts and McCarthy (2001b, 2002) extended the original REA to include value-chain level configurations, task-level configurations, and encompass a broader array of business economic phenomena. Yet, the REA framework remains closely tied to its accounting roots, with a focus on economic events and financial resources. A substantial number of organizations are adopting strategic management systems that include both financial and nonfinancial measures to overcome known limitations of systems based on traditional financial data alone (e.g., Said et al. 2003; Eccles et al. 2001; Ittner et al. 2003). We therefore examine whether the REA framework supports the information requirements of this broader domain and propose extensions to fill the gaps identified.

scholarly journals Task-Level Data Model for Hardware Synthesis Based on Concurrent Collections

2012 ◽  
Vol 2012 ◽  
pp. 1-24
Author(s):  
Jason Cong ◽  
Karthik Gururaj ◽  
Peng Zhang ◽  
Yi Zou
Keyword(s):  
Data Model ◽  
Electronic System ◽  
Design Flow ◽  
System Level ◽  
Hardware Synthesis ◽  
Synthesis Design ◽  
Electronic System Level ◽  
Level Data ◽  
Modeling Task ◽  
Task Level

The ever-increasing design complexity of modern digital systems makes it necessary to develop electronic system-level (ESL) methodologies with automation and optimization in the higher abstraction level. How the concurrency is modeled in the application specification plays a significant role in ESL design frameworks. The state-of-art concurrent specification models are not suitable for modeling task-level concurrent behavior for the hardware synthesis design flow. Based on the concurrent collection (CnC) model, which provides the maximum freedom of task rescheduling, we propose task-level data model (TLDM), targeted at the task-level optimization in hardware synthesis for data processing applications. Polyhedral models are embedded in TLDM for concise expression of task instances, array accesses, and dependencies. Examples are shown to illustrate the advantages of our TLDM specification compared to other widely used concurrency specifications.

TDFL: A task-level data flow language

1990 ◽  
Vol 9 (2) ◽  
pp. 103-115 ◽  
Author(s):  
Paul A. Suhler ◽  
Jit Biswas ◽  
Kim M. Korner ◽  
James C. Browne
Keyword(s):  
Data Flow ◽  
Level Data ◽  
Task Level

Factors Influencing Cognate Performance for Young Multilingual Children's Vocabulary: A Research Synthesis

2020 ◽  
Vol 29 (4) ◽  
pp. 2170-2188
Author(s):  
Lindsey R. Squires ◽  
Sara J. Ohlfest ◽  
Kristen E. Santoro ◽  
Jennifer L. Roberts
Keyword(s):  
Test Validity ◽  
Reaction Times ◽  
Bilingual Children ◽  
Second Grade ◽  
High Quality Research ◽  
Word Level ◽  
Research Questions ◽  
Word Characteristics ◽  
Study Inclusion ◽  
Task Level

Purpose The purpose of this systematic review was to determine evidence of a cognate effect for young multilingual children (ages 3;0–8;11 [years;months], preschool to second grade) in terms of task-level and child-level factors that may influence cognate performance. Cognates are pairs of vocabulary words that share meaning with similar phonology and/or orthography in more than one language, such as rose – rosa (English–Spanish) or carrot – carotte (English–French). Despite the cognate advantage noted with older bilingual children and bilingual adults, there has been no systematic examination of the cognate research in young multilingual children. Method We conducted searches of multiple electronic databases and hand-searched article bibliographies for studies that examined young multilingual children's performance with cognates based on study inclusion criteria aligned to the research questions. Results The review yielded 16 articles. The majority of the studies (12/16, 75%) demonstrated a positive cognate effect for young multilingual children (measured in higher accuracy, faster reaction times, and doublet translation equivalents on cognates as compared to noncognates). However, not all bilingual children demonstrated a cognate effect. Both task-level factors (cognate definition, type of cognate task, word characteristics) and child-level factors (level of bilingualism, age) appear to influence young bilingual children's performance on cognates. Conclusions Contrary to early 1990s research, current researchers suggest that even young multilingual children may demonstrate sensitivity to cognate vocabulary words. Given the limits in study quality, more high-quality research is needed, particularly to address test validity in cognate assessments, to develop appropriate cognate definitions for children, and to refine word-level features. Only one study included a brief instruction prior to assessment, warranting cognate treatment studies as an area of future need. Supplemental Material https://doi.org/10.23641/asha.12753179

New Evidence on the Construct Validity of the ASI-3 and the Dimensional Conceptualization of Trait Anxiety Sensitivity From IRT Modeling

2017 ◽  
Vol 33 (3) ◽  
pp. 181-189 ◽  
Author(s):  
Christoph J. Kemper ◽  
Michael Hock
Keyword(s):  
Construct Validity ◽  
Anxiety Sensitivity ◽  
Latent Class ◽  
Dimensional Structure ◽  
Sensitivity Index ◽  
Response Scale ◽  
Established Risk Factor ◽  
Irt Models ◽  
Level Data ◽  
Extreme Response

Abstract. Anxiety Sensitivity (AS) denotes the tendency to fear anxiety-related sensations. Trait AS is an established risk factor for anxiety pathology. The Anxiety Sensitivity Index-3 (ASI-3) is a widely used measure of AS and its three most robust dimensions with well-established construct validity. At present, the dimensional conceptualization of AS, and thus, the construct validity of the ASI-3 is challenged. A latent class structure with two distinct and qualitatively different forms, an adaptive form (normative AS) and a maladaptive form (AS taxon, predisposing for anxiety pathology) was postulated. Item Response Theory (IRT) models were applied to item-level data of the ASI-3 in an attempt to replicate previous findings in a large nonclinical sample (N = 2,603) and to examine possible interpretations for the latent discontinuity observed. Two latent classes with a pattern of distinct responses to ASI-3 items were found. However, classes were indicative of participant’s differential use of the response scale (midpoint and extreme response style) rather than differing in AS content (adaptive and maladaptive AS forms). A dimensional structure of AS and the construct validity of the ASI-3 was supported.

Modeling Intraindividual Variability in Three-Level Multilevel Models

Methodology ◽  
2018 ◽  
Vol 14 (3) ◽  
pp. 95-108 ◽  
Author(s):  
Steffen Nestler ◽  
Katharina Geukes ◽  
Mitja D. Back
Keyword(s):  
Multilevel Model ◽  
Multilevel Models ◽  
Mixed Effects ◽  
Repeated Measurements ◽  
Scale Model ◽  
Suggested Approach ◽  
Psychological Study ◽  
Level Data ◽  
Ecological Momentary ◽  
Momentary Assessment

Abstract. The mixed-effects location scale model is an extension of a multilevel model for longitudinal data. It allows covariates to affect both the within-subject variance and the between-subject variance (i.e., the intercept variance) beyond their influence on the means. Typically, the model is applied to two-level data (e.g., the repeated measurements of persons), although researchers are often faced with three-level data (e.g., the repeated measurements of persons within specific situations). Here, we describe an extension of the two-level mixed-effects location scale model to such three-level data. Furthermore, we show how the suggested model can be estimated with Bayesian software, and we present the results of a small simulation study that was conducted to investigate the statistical properties of the suggested approach. Finally, we illustrate the approach by presenting an example from a psychological study that employed ecological momentary assessment.

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