Dynamic coarse‐to‐fine ISAR image blind denoising using active joint prior learning

2021 ◽  
Author(s):  
Bin Xue ◽  
Yi He ◽  
Feng Jing ◽  
Yimeng Ren ◽  
Mei Gao
Keyword(s):  
Active Joint ◽  
Prior Learning ◽  
Coarse To Fine

The Use of Principles of Good Assessment in Recognition of Prior Learning Practice in Library and Information Science in South Africa

Mousaion ◽  
2018 ◽  
Vol 35 (3) ◽  
Author(s):  
Ike Khazamula Hlongwane
Keyword(s):  
South Africa ◽  
Information Science ◽  
Good Practice ◽  
Survey Method ◽  
Library And Information Science ◽  
Prior Learning ◽  
Good Assessment ◽  
Recognition Of Prior Learning ◽  
Appeals Process ◽  
South African Higher Education

Recognition of Prior Learning (RPL) practice offers sound benefits to library and information science (LIS) schools. Despite these envisaged benefits, very little is known about RPL practice in LIS schools in South Africa. This study sought to establish whether principles of good assessment were being followed in the LIS schools to ensure the integrity of the RPL outcomes. A combination of a questionnaire and document analysis were used to collect data from the ten LIS schools in the South African higher education and training landscape. The questionnaire was used to collect quantitative data through a survey method. In addition, the researcher employed content analysis to collect qualitative data from institutional RPL policy documents. The findings indicate that RPL assessment processes across LIS schools in South Africa were largely subjected to principles of good practice. The study found that in accordance with the SAQA RPL policy the purpose of assessment was clarified to the candidate upfront, the quality of support to be provided to the candidate in preparing for the assessment was established, an appeals process was made known to the candidate, and the choice of assessment methods was fit for purpose to ensure credible assessment outcomes. It is therefore recommended that other disciplines or departments use LIS schools’ experiences as a benchmark to improve their own RPL endeavours.

Vehicle trajectory clustering based on 3D information via a coarse-to-fine strategy

2017 ◽  
Vol 22 (5) ◽  
pp. 1433-1444 ◽  
Author(s):  
Huansheng Song ◽  
Xuan Wang ◽  
Cui Hua ◽  
Weixing Wang ◽  
Qi Guan ◽  
...  
Keyword(s):  
Trajectory Clustering ◽  
Vehicle Trajectory ◽  
3D Information ◽  
Coarse To Fine

Mobility of Single-Loop N-Bar Linkage With Active/Passive Prismatic Joints

2005 ◽  
Vol 128 (6) ◽  
pp. 1261-1271 ◽  
Author(s):  
W. Z. Guo ◽  
R. Du
Keyword(s):  
Open Loop ◽  
Class Iii ◽  
Active Joint ◽  
Revolute Joint ◽  
Single Loop ◽  
Prismatic Joint ◽  
Passive Joint ◽  
Offset Distance ◽  
Prismatic Joints ◽  
Planar Linkages

Single-loop N-bar linkages that contain one prismatic joint are common in engineering. This type of mechanism often requires complicated control and, hence, understanding its mobility is very important. This paper presents a systematic study on the mobility of this type of mechanism by introducing the concept of virtual link. It is found that this type of mechanism can be divided into three categories: Class I, Class II, and Class III. For each category, the slide reachable range is cut into different regions: Grashof region, non-Grashof region, and change-point region. In each region, the rotation range of the revolute joint or rotatability of the linkage can be determined based on Ting’s criteria. The characteristics charts are given to describe the rotatability condition. Furthermore, if the prismatic joint is an active joint, the revolvability of the input revolute joint is dependent in non-Grashof region but independent in other regions. If the prismatic joint is a passive joint, the revolvability of the input revolute joint is dependent on the offset distance of the prismatic joint. Two examples are given to demonstrate the presented method. The new method is able to cover all the cases of N-bar planar linkages with one or a set of adjoined prismatic joints. It can also be used to study N-bar open-loop planar robotic mechanisms.

scholarly journals OP0162 ETANERCEPT RESPONSE CLUSTERS IN JUVENILE IDIOPATHIC ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 97.1-98
Author(s):  
S. Shoop-Worrall ◽  
K. Hyrich ◽  
L. Wedderburn ◽  
W. Thomson ◽  
N. Geifman
Keyword(s):  
Young People ◽  
Disease Activity ◽  
Treatment Response ◽  
Similar Response ◽  
Response Patterns ◽  
Active Joint ◽  
Research Support ◽  
Similar Treatment ◽  
Children And Young People ◽  
Multiple Drugs

Background:In children and young people (CYP) with JIA, we have previously identified clusters with different patterns of disease impact following methotrexate (MTX) initiation. It is unclear whether clusters of treatment response following etanercept (ETN) therapy exist and whether, in a group of CYP who have responded inadequately to or had adverse events on methotrexate, similar treatment response patterns exist. Novel response patterns would aid stratified treatment approaches through better understanding and potential forecasting of more specific response patterns across multiple domains of disease.Objectives:To identify and characterise trajectories of juvenile arthritis disease activity score (JADAS) components following ETN initiation for JIA.Methods:ETN-naïve CYP with non-systemic JIA were selected if enrolled prior to January 2019 in at least one of four CLUSTER consortium studies: BSPAR-ETN, BCRD, CAPS and CHARMS, at point of starting ETN as their first biological therapy. JADAS components (active joint count, physician’s global assessment (0-10cm), parental global evaluation (0-10cm) and standardised ESR (0-10) were collected at ETN initiation and during the following year.Multivariate group-based trajectory models, that identify clusters of CYP with similar patterns of change over time, were used to explore ETN response clusters across the different JADAS components. Censored-normal (global scores, ESR) and zero-inflated Poisson (active joint count) models were used, adjusting for year of ETN initiation. Optimal models were selected based on a combination of model fit (BIC), parsimony, and clinical plausibility.Results:Of the 1003 CYP included, the majority were female (70%) and of white ethnicity (90%), with rheumatoid factor-negative JIA the most common disease category (39%).The optimal model identified five trajectory clusters of disease activity following initiation of ETN (Figure 1). Clusters following ETN were similar and covered similar proportions of CYP to those previously identified following MTX: Fast (Group 1: 13%) and Slow (Group 2: 10%) response, active joint count improves but either physician (Group 3: 6%) or parent global scores (Group 4: 34%) remain persistently raised and a group with persistent raised scores across all JADAS components (Group 5: 36%). Compared to the persistent disease cluster, those with greater improvement had lower age and higher functional ability at ETN initiation and those with persistent raised parent global scores had lower ESR levels and were less likely to be RF-positive at ETN initiation.Figure 1.Clusters identified following ETN initiation in children and young people recruited to the UK BSPAR-ETN, BCRD, CAPS and CHARMS studies.Conclusion:This study has identified that within CYP initiating ETN, similar response clusters are evident to those previously identified following MTX. This commonality suggests a new framework for understanding treatment response, beyond a simple responder/non-responder analysis at a set point, which applies across multiple drugs despite different mechanisms of action and previous unfavourable treatment outcomes. Understanding both clinical factors associated with, and biological mechanisms underpinning, these clusters would aid stratified medicine in JIA.Acknowledgements:We thank the children, young people and families involved in CLUSTER, as well as clinical staff, administrators and data management teams. Funding for CLUSTER has been provided by generous grants from the MRC, Versus Arthritis, GOSH children’s charity, Olivia’s vision and the NIHR Manchester and GOSH BRC schemes.Disclosure of Interests:Stephanie Shoop-Worrall: None declared, Kimme Hyrich Speakers bureau: Abbvie, Grant/research support from: BMS, UCB, Pfizer, Lucy Wedderburn Speakers bureau: Pfizer, Grant/research support from: Abbvie, Sobi, Wendy Thomson Grant/research support from: Abbvie, Sobi, Nophar Geifman Grant/research support from: Abbvie, Sobi

scholarly journals The signs of frenetic standstill: The concept of change in the discourse of lifelong learning and the tempo of the Czech National Qualifications Framework

2021 ◽  
pp. 0961463X2110060
Author(s):  
Tomáš Karger
Keyword(s):  
Adult Education ◽  
Technological Change ◽  
Document Analysis ◽  
Further Education ◽  
Prior Learning ◽  
The Czech Republic ◽  
Organizational Hierarchy ◽  
National Qualifications Framework ◽  
Recognition Of Prior Learning ◽  
Recent Developments

The aim of this study is to interpret recent developments in the field of adult education in the Czech Republic through the theory of social acceleration. The study is designed as focused ethnography, drawing upon observation, interviewing, and document analysis. The material is read through the concepts of acceleration and frenetic standstill and contextualized in the discourses on industry 4.0 and recognition of prior learning. The study shows how the notion of constant technological change drives the Czech discourse of adult education, introducing a sense of urgency and pressing for faster developments in the further education of adults. However, the field of adult education exhibits a lack of consistency in its development, translating into absenting sense of progress. Within this context, the Czech National Qualifications Framework (NQF) has produced a steady output of qualification standards even though its internal processes have been prolonged. The tempo of the NQF and the absenting sense of progress can be read as signs of a frenetic standstill, accompanied by a high fluctuation of individuals on all levels of an organizational hierarchy. The study argues that acceleration is not driven by technological change in the observed context as the examined discourses expect. Instead, social acceleration seems to be perpetuating itself as a relatively independent force, eroding institutions that are seen as key in adapting to the incoming transition.

scholarly journals A Novel Coarse-to-fine Sea-land Segmentation Technique Based on Superpixel Fuzzy C-Means Clustering and Modified Chan-Vese Model

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Eman Elkhateeb ◽  
Hassan Soliman ◽  
Ahmed Atwan ◽  
Mohammed Elmogy ◽  
Kyung-Sup Kwak ◽  
...  
Keyword(s):  
Fuzzy C Means ◽  
Segmentation Technique ◽  
Fuzzy C Means Clustering ◽  
Coarse To Fine
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