Fault Verification Simulation for Light-Emission Microscopy and Liquid-Crystal Analysis

1996 ◽  
Author(s):  
N. Kuji ◽  
T. Takeda ◽  
S. Nakamura ◽  
Y. Komine
Keyword(s):  
Liquid Crystal ◽  
Light Emission ◽  
Logic Model ◽  
Spice Simulation ◽  
Logic Models ◽  
Model Derivation ◽  
Emission Microscopy ◽  
Derivation Method ◽  
Fault Verification

Abstract A new logic-model derivation method for leak faults observed by light-emission microscopy (LEM) or in liquid-crystal analysis (LCA) has been developed to verify those faults by comparing them with failures observed on an LSI tester. Since CMOS devices display various kinds of faulty behavior depending on leak resistance, it is essential to include the effects of this resistance in logic models. Considering that the resistance of leaks observed in LEM and LCA ranges from 10 to 10,000 ohm, the new logic models have been derived so that the leak fault could be easily incorporated into logic simulators without SPICE simulation. The feasibility of the proposed method has been demonstrated by using it to diagnose LEM and LCA faults causing logic failure in a 20k-gate logic LSI circuit.

SRAM Failure Analysis Strategy

2003 ◽  
Author(s):  
P. Egger ◽  
C. Burmer
Keyword(s):  
Liquid Crystal ◽  
Failure Analysis ◽  
The Other ◽  
Other Hand ◽  
Analysis Strategy ◽  
Emission Microscopy ◽  
Metal Layers ◽  
Failure Localization

Abstract The area of embedded SRAMs in advanced logic ICs is increasing more and more. On the other hand smaller structure sizes and an increasing number of metal layers make conventional failure localization by using emission microscopy or liquid crystal inefficient. In this paper a SRAM failure analysis strategy will be presented independent on layout and technology.

scholarly journals Using logic models to enhance the methodological quality of primary health-care interventions: guidance from an intervention to promote nutrition care by general practitioners and practice nurses

2017 ◽  
Vol 23 (1) ◽  
pp. 53 ◽  
Author(s):  
Lauren Ball ◽  
Dianne Ball ◽  
Michael Leveritt ◽  
Sumantra Ray ◽  
Clare Collins ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Care Setting ◽  
Logic Model ◽  
Practice Nurses ◽  
Nutrition Care ◽  
Health Care Interventions ◽  
Primary Health ◽  
Health Care Practitioners ◽  
Logic Models

The methodological designs underpinning many primary health-care interventions are not rigorous. Logic models can be used to support intervention planning, implementation and evaluation in the primary health-care setting. Logic models provide a systematic and visual way of facilitating shared understanding of the rationale for the intervention, the planned activities, expected outcomes, evaluation strategy and required resources. This article provides guidance for primary health-care practitioners and researchers on the use of logic models for enhancing methodological rigour of interventions. The article outlines the recommended steps in developing a logic model using the ‘NutriCare’ intervention as an example. The ‘NutriCare’ intervention is based in the Australian primary health-care setting and promotes nutrition care by general practitioners and practice nurses. The recommended approach involves canvassing the views of all stakeholders who have valuable and informed opinions about the planned project. The following four targeted, iterative steps are recommended: (1) confirm situation, intervention aim and target population; (2) document expected outcomes and outputs of the intervention; (3) identify and describe assumptions, external factors and inputs; and (4) confirm intervention components. Over a period of 2 months, three primary health-care researchers and one health-services consultant led the collaborative development of the ‘NutriCare’ logic model. Primary health-care practitioners and researchers are encouraged to develop a logic model when planning interventions to maximise the methodological rigour of studies, confirm that data required to answer the question are captured and ensure that the intervention meets the project goals.

Using Logic Models for Program Planning in K20 Education

2013 ◽  
pp. 429-446
Author(s):  
Carol Adamec Brown
Keyword(s):  
Focal Point ◽  
Program Planning ◽  
Logic Model ◽  
Open Communication ◽  
Outreach Programs ◽  
Logic Models ◽  
Grant Proposals ◽  
Community Projects ◽  
Common Vision

A well-designed logic model shows inter-connections within components of outreach programs, community projects, grant proposals, and even the design of a graduate internship. The logic model is a systematic display of inputs, outputs, outcomes, and impact on a community. One may define community as any group of people with a common vision, purpose, or problem. Relationships among people are the focal point for a community and the logic model can be used as a tool for fostering open communication within the community. The logic model is typically one of three approaches in design: 1) theoretical, 2) outcomes-based, or 3) activities approach. Use of a logic model ensures accountability for stakeholders, a tool for generating a common vision, and a method for reporting far-reaching impact as a result of activities identified for the model.

Experimental Studies Assessing the Repeatability of a Functional Modeling Derivation Method

2003 ◽  
Vol 125 (4) ◽  
pp. 682-693 ◽  
Author(s):  
Mark A. Kurfman ◽  
Michael E. Stock ◽  
Robert B. Stone ◽  
Jagan Rajan ◽  
Kristin L. Wood
Keyword(s):  
Design Research ◽  
Functional Model ◽  
Experimental Studies ◽  
Testing Procedure ◽  
Research Literature ◽  
Functional Modeling ◽  
Skill Levels ◽  
Functional Models ◽  
Model Derivation ◽  
Derivation Method

This paper presents the results of research attempts to substantiate repeatability and uniqueness claims of a functional model derivation method following a hypothesis generation and testing procedure outlined in design research literature. Three experiments are constructed and carried out with a participant pool that possesses a range of engineering design skill levels. The experiments test the utility of a functional model derivation method to produce repeatable functional models for a given product among different designers. In addition to this, uniqueness of the functional models produced by the participants is examined. Results indicate the method enhances repeatability and leads designers toward a unique functional model of a product. Shortcomings of the method and opportunities for improvement are also identified.

Development and implementation of a longitudinal quality assessment for community outreach programs.

2014 ◽  
Vol 32 (30_suppl) ◽  
pp. 235-235
Author(s):  
Yolanda Martins ◽  
Elizabeth Gonzalez-Suarez ◽  
Luis de Zengotita ◽  
Magnolia Contreras ◽  
Anne L Levine
Keyword(s):  
Community Education ◽  
Community Outreach ◽  
Logic Model ◽  
Cross Sectional ◽  
Outreach Programs ◽  
Community Benefits ◽  
Logic Models ◽  
Key Stakeholders ◽  
The Common ◽  
Underserved Minorities

235 Background: Part of Dana-Farber Cancer Institute’s mission is to educate the community and raise awareness about the importance of cancer prevention, outreach, screening, early detection, clinical trials and survivorship. Development of a logic model and evaluation plan enables us to assess program quality and identify areas for improvement and future outreach. Methods: A forward logic, iterative approach was used to develop logic models for our community outreach programs. Models were reviewed by key stakeholders including program staff and management. These were used as the basis for a comprehensive logic model encompassing the common elements across all programs. Results: Seven logic models were developed to capture work in tobacco, sun safety, breast health, obesity prevention, community education programs, as well as comprehensive community benefits program model. We designed a developmental evaluation to allow for an assessment that could be adapted in a dynamic, ever-changing environment. This approach is also responsive to program growth and changes. It measures demographic information about our community participants, satisfaction with our programs, and strength of our community partnerships and compares these to internal benchmarks and state information. We can re-contact participants for on-going assessments and provide cross-sectional and longitudinal reports. RedCap freeware was used to create online versions of all tracking measures. Since (date) we have captured information from 119 community participants, most of whom are Black and Latino/a, and are representative of traditionally underserved minorities. Conclusions: Logic models and evaluation plans are integral components of community outreach programming. They ensure that effective, high-quality community outreach programming is being delivered, allow for the assessment of impact and assessment against program benchmarks. More importantly, they provide continuous information about areas for program growth and improvement.

SiPM Avalanche Size and Crosstalk Measurements with Light Emission Microscopy

2014 ◽  
Vol 61 (3) ◽  
pp. 1488-1492 ◽  
Author(s):  
Max Ludwig Knoetig ◽  
Jurgen Hose ◽  
Razmik Mirzoyan
Keyword(s):  
Light Emission ◽  
Avalanche Size ◽  
Emission Microscopy

scholarly journals Developing a logic model to guide evaluation of impact for learning disability projects: the case of the Positive Behavioural Support (PBS) Academy

2018 ◽  
Vol 23 (3) ◽  
pp. 125-132 ◽  
Author(s):  
Suzi J. Scott ◽  
Louise D. Denne ◽  
Richard P. Hastings
Keyword(s):  
Learning Disabilities ◽  
Logic Model ◽  
Content Type ◽  
Policy Practice ◽  
Stakeholder Groups ◽  
Behavioural Support ◽  
Logic Models ◽  
The Uk ◽  
The Impact ◽  
The Relationship

Purpose Measuring “impact” is an important aspect of the dissemination of evidence-based practice and relevant to all disciplines. However, it has only recently become a focus of enquiry and is not commonly directly researched within the learning disabilities field. The purpose of this paper is to describe the process of developing a logic model for the UK Positive Behavioural Support (PBS) Academy as part of an evaluation and impact study of its work to date. Design/methodology/approach Logic models are a visual representation of the relationship between a project’s resources, activities and outputs and identified outcomes, in relation to key stakeholder groups. This representation allows for key impact measures to be identified and can be a useful tool for evaluation purposes. The authors used the process outlined by McLaughlin and Jordan (1998) to develop a bespoke logic model for the PBS Academy. Findings The model was particularly helpful in making clear the distinction between output and impact, identifying impact criteria differentiated by stakeholder group and across time scales, and highlighting areas of activity that are needed to increase the impact of the work of the PBS Academy in the longer term. Originality/value In the absence of any generalised impact evaluation frameworks in the learning disabilities field, the authors suggest that logic models may provide a useful framework for evaluating the impact of policy, practice, and research interventions.

Scanning SQUID Microscopy for Die Level Fault Isolation

2002 ◽  
Author(s):  
David P. Vallett
Keyword(s):  
Liquid Crystal ◽  
Photon Emission ◽  
Fault Isolation ◽  
Induced Voltage ◽  
Sem Images ◽  
Thermal Mapping ◽  
Localized Defects ◽  
Emission Microscopy ◽  
Scanning Squid ◽  
Scanning Squid Microscopy

Abstract This paper presents detailed results of scanning SQUID microscopy (SSM) analyses performed on the frontside and backside of both loose and packaged die. Optical and SEM images of localized defects are shown. Comparisons with alternative physical fault isolation (PFI) techniques like liquid crystal (LC), Schlieren thermal mapping (STM), temperature induced voltage alteration (TIVA), and photon emission microscopy (PEM) are included. Finally, limitations with and potential improvements for die level SSM are also discussed.

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