scholarly journals Geospatial Queries on Data Collection Using a Common Provenance Model

2021 ◽  
Vol 10 (3) ◽  
pp. 139
Author(s):  
Guillem Closa ◽  
Joan Masó ◽  
Núria Julià ◽  
Xavier Pons
Keyword(s):  
Web Application ◽  
Distributed Environment ◽  
Levels Of Abstraction ◽  
Geospatial Information ◽  
Error Sources ◽  
Process Step ◽  
Process Chains ◽  
Level Information ◽  
High Level ◽  
The Relationship

Lineage information is the part of the metadata that describes “what”, “when”, “who”, “how”, and “where” geospatial data were generated. If it is well-presented and queryable, lineage becomes very useful information for inferring data quality, tracing error sources and increasing trust in geospatial information. In addition, if the lineage of a collection of datasets can be related and presented together, datasets, process chains, and methodologies can be compared. This paper proposes extending process step lineage descriptions into four explicit levels of abstraction (process run, tool, algorithm and functionality). Including functionalities and algorithm descriptions as a part of lineage provides high-level information that is independent from the details of the software used. Therefore, it is possible to transform lineage metadata that is initially documenting specific processing steps into a reusable workflow that describes a set of operations as a processing chain. This paper presents a system that provides lineage information as a service in a distributed environment. The system is complemented by an integrated provenance web application that is capable of visualizing and querying a provenance graph that is composed by the lineage of a collection of datasets. The International Organization for Standardization (ISO) 19115 standards family with World Wide Web Consortium (W3C) provenance initiative (W3C PROV) were combined in order to integrate provenance of a collection of datasets. To represent lineage elements, the ISO 19115-2 lineage class names were chosen, because they express the names of the geospatial objects that are involved more precisely. The relationship naming conventions of W3C PROV are used to represent relationships among these elements. The elements and relationships are presented in a queryable graph.

Novel Wafer Dicing and Chip Thinning Technologies Realizing High Chip Strength

2006 ◽  
Vol 970 ◽  
Author(s):  
Shinya Takyu ◽  
Tetsuya Kurosawa ◽  
Noriko Shimizu ◽  
Susumu Harada
Keyword(s):  
Residual Strain ◽  
Information Networks ◽  
Diamond Blade ◽  
Telecommunication Equipment ◽  
Key Technologies ◽  
Level Information ◽  
Residual Damage ◽  
On Chip ◽  
High Level ◽  
The Relationship

ABSTRACTAs telecommunication equipment that supports high-level information networks is being made portable, the requirements for telecommunication equipment to be small and lightweight are becoming stricter. Thus, miniaturization of semiconductor devices is necessary, and wafer dicing and chip thinning technologies are important key technologies to achieve it. Wafers are thinned by mechanical in-feed grinding using a grindstone containing diamond particles, and wafers are divided by mechanical blade dicing using a diamond blade. However, mechanical processes using diamond grits leave damage such as chipping, saw mark or residual strain on chip surfaces; thus, chip strength decreases. At chip thicknesses of 50 to 200 μm, such damage has to be avoided.In this study, the relationship between chip residual damage and chip strength is examined, and novel wafer dicing and thinning technologies that realize an average chip strength have increased from 253 MPa to 1903 MPa are described.

scholarly journals CRIC: a unified information system for WLCG and beyond

2019 ◽  
Vol 214 ◽  
pp. 03003 ◽  
Author(s):  
Alexey Anisenkov ◽  
Julia Andreeva ◽  
Alessandro Di Girolamo ◽  
Panos Paparrigopoulos ◽  
Aresh Vedaee
Keyword(s):  
Information System ◽  
Distributed Computing ◽  
User Interfaces ◽  
Service Discovery ◽  
Large Scale ◽  
Atlas Collaboration ◽  
Distributed Environment ◽  
Distributed Resources ◽  
Level Information ◽  
High Level

The Worldwide LHC Computing Grid (WLCG) is an innovative distributed environment which is deployed through the use of grid computing technologiesin order to provide computing and storage resources to the LHC experimentsfor data processing and physics analysis. Following increasing demands of LHC computing needs toward high luminosity era, the experiments are engagdin an ambitious program to extend the capability of WLCG distributed environment, for instance including opportunistically used resources such as High-Performance Computers (HPCs), cloud platforms and volunteer computer. norder to be effectively used by the LHC experiments, all these diverse distributed resources should be described in detail. This implies easy service discovery of shared physical resources, detailed description of service configurations and experiment-specific data structures is needed. In this contribution, we present a high-level information component of a distributed computing environment, the Computing Resource Information Catalogue (CRIC) which aims to facilitate distributed computing operations for the LHC experiments and consolidate WLCG topology information. In addition, CRIC performs data validation and provides coherent view and topology descriptinto the LHC VOs for service discovery and configuration. CRIC represents teevolution of ATLAS Grid Information System (AGIS) into the common experiment independent high-level information framework. CRIC’s mission is to serve not just ATLAS Collaboration needs for the description of the distributed environment but any other virtual organization relying on large scale distributed infrastructure as well as the WLCG on the global scope. The contribution describes CRIC architecture, implementation of data model,collectors, user interfaces, advanced authentication and access control components of the system.

Academic motivation and professional skills development in the Specialty of Social Sciences and Tourism at a public university [Motivación académica y desarrollo de competencias profesionales en la Especialidad de Ciencias Sociales y Turismo de una universidad pública]

2019 ◽  
Vol 1 (2) ◽  
pp. 96
Author(s):  
Ana Cecilia De Paz Lazaro ◽  
Jessica Luz Palomino Collantes
Keyword(s):  
Social Sciences ◽  
Academic Motivation ◽  
Public University ◽  
Skills Development ◽  
Professional Skills ◽  
Research Results ◽  
Competencias Profesionales ◽  
High Level ◽  
The Relationship

The objective of the research is to determine the relationship between academic motivation and the professional skills development in the specialty of Social Sciences and Tourism. The study is quantitative and the design is non-experimental correlational translational. The results indicate that there is a high level relationship (0.914) between the independent academic motivation variable and the professional competences development in the Specialty of Social Sciences and Tourism. In conclusion, motivation is directly related to the professional skills development in the specialty of Social Sciences and Tourism. The research results conclude that there is a high relationship between the variables.

Barriers of physical activity (kinesiophobia) in patients subjected to cardiac rehabilitation

2014 ◽  
Vol 6 (4) ◽  
Author(s):  
Janusz Kocjan ◽  
Andrzej Knapik
Keyword(s):  
Physical Activity ◽  
Cardiac Rehabilitation ◽  
Short Form ◽  
Social Activity ◽  
Self Assessment ◽  
Rehabilitation Process ◽  
Sf 36 ◽  
Polish Version ◽  
High Level ◽  
The Relationship

AbstractBackground: Comprehensive cardiac rehabilitation (CR) is a process designed to restore full physical, psychological and social activity and to reduce cardiovascular risk factors. Fear of movement may contribute to the occurrence and intensification of hypokinesia, and consequently affect the effectiveness of therapy. The aim of the study was to determine the level of barriers of physical activity in patients undergoing cardiac rehabilitation. The relationship between selected determinants (age and health selfassessment) and the kinesiophobia level were also examined.Material/Methods: 115 people aged 40-84 years were examined: 50 females (x = 63.46; SD = 11.19) and 65 males (x = 64.65; SD = 10.59) - patients undergoing cardiac rehabilitation at the Upper-Silesian Medical Centre in Katowice. In the present study, the Polish version of questionnaires: Kinesiophobia Causes Scale (KCS) and Short Form Health Survey (SF-36) were used. Questionnaires were supplemented by authors’ short survey.Results: The patients presented an elevated level of kinesiophobia, both in general as well as in individual components. In women, the kinesiophobia level was higher than in men. The psychological domain was a greater barrier of physical activity than the biological one. Strong, negative correlations of psychological and biological domains of kinesiophobia to physical functioning (SF-36) were noted in women. In the case of men, correlations were weaker, but also statistically significant.Conclusions: 1. Sex differentiates patients in their kinesiophobia level 2. Poor self-assessment of health is associated with a greater intensification of kinesiophobia 3. A high level of kinesiophobia may negatively affect cardiac rehabilitation process

Investigation of Online Learning Satisfaction During COVID 19: In Relation to Academic Achievement

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Abdul Basith ◽  
Rosmaiyadi Rosmaiyadi ◽  
Susan Neni Triani ◽  
Fitri Fitri
Keyword(s):  
Academic Achievement ◽  
Online Learning ◽  
Random Sampling ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Research Data ◽  
Student Academic Achievement ◽  
Learning Satisfaction ◽  
High Level ◽  
The Relationship

The aim of this research is; 1) investigating the level of online learning satisfaction among students during COVID 19; 2) analyzing the influence of differences in gender, years of study, major in determining online learning satisfaction among students during COVID 19; 3) to analyze the relationship between online learning satisfaction and student academic achievement during COVID 19. The population was 656 students at STKIP Singkawang, and then a sample of 357 students (87 males and 270 females) was taken using a simple random sampling technique. The instrument in this study was adapted from Aman's Satisfaction instrument, which was then used to collect research data. Data analysis using SPSS with descriptive statistical techniques, MANOVA, and correlation. The results showed that online learning satisfaction was at a high level, meaning that students were satisfied with the online learning that had been implemented. The major differences have a significant effect on determining online learning satisfaction. Intercorrelation shows that there is a significant relationship on each indicator of online learning satisfaction with academic achievement, meaning that the higher the satisfaction felt by students in online learning, the student's academic achievement will increase.

CHALLENGES OF INTERPRETATION OF GENETIC TEST RESULTS ON THE EXAMPLE OF STUDY OF ENDURANCE

2020 ◽  
Vol 8 (1) ◽  
pp. 75-82
Author(s):  
Elmira Shamsuvaleeva ◽  
Anastasiya Nevmyvaka ◽  
Andrey Nazarenko
Keyword(s):  
Sport Activity ◽  
Computerized Testing ◽  
Daily Routine ◽  
Modern Approach ◽  
Functional Studies ◽  
Sport Training ◽  
Genetic Test Results ◽  
High Level ◽  
Biomedical Education ◽  
The Relationship

The purpose of the research is to study the possibility of predicting the development of aerobic endurance of athletes through a comparative analysis of the outcomes of genetic and computerized testing. Methods and organization of the research. In our research, we used scientific and methodological literature, as well as the outcomes of competitive activity and genetic analysis of a particular athlete. The total number of survey respondents was 158 people including athletes (n = 85) and coaches (n = 73). Results and discussion. Some authors find the relationship between the ability to develop and manifest endurance and the presence of the appropriate alleles of genes: ACE I, ACNT X, ACNT3 (RX, XX), ADRA2A, AMPDI C, PGC1A Gly, NFATC4, UCP2. Most studies reveal the relationship between the ACE gene and endurance supported by the I allele. Genetic foresight of the possibility of developing aerobic endurance of athletes can become the framework for the application of an individual approach in sport training, and contribute to the development of techniques aimed at the refinement of physical qualities. The modern approach to the coaching and competitive activities of athletes should include both genetic and functional studies of the human body. Conclusion. Sport forecast cannot be based solely on genetic testing results. The presence of polymorphisms in one or more genes associated with sport activity is the platform for good performance in a particular sport, but the actual manifestation of genetic predisposition depends on many factors. These factors include nutrition, daily routine and competent organization of the training process, which requires a high level of theoretical and practical competency of coaches in the field of biomedical education.

scholarly journals Interpretation of Swedish Sign Language Using Convolutional Neural Networks and Transfer Learning

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Gustaf Halvardsson ◽  
Johanna Peterson ◽  
César Soto-Valero ◽  
Benoit Baudry
Keyword(s):  
Neural Networks ◽  
Sign Language ◽  
Transfer Learning ◽  
Convolutional Neural Networks ◽  
Web Application ◽  
Training Dataset ◽  
Motion Processing ◽  
Image Perception ◽  
Sign Languages ◽  
High Level

AbstractThe automatic interpretation of sign languages is a challenging task, as it requires the usage of high-level vision and high-level motion processing systems for providing accurate image perception. In this paper, we use Convolutional Neural Networks (CNNs) and transfer learning to make computers able to interpret signs of the Swedish Sign Language (SSL) hand alphabet. Our model consists of the implementation of a pre-trained InceptionV3 network, and the usage of the mini-batch gradient descent optimization algorithm. We rely on transfer learning during the pre-training of the model and its data. The final accuracy of the model, based on 8 study subjects and 9400 images, is 85%. Our results indicate that the usage of CNNs is a promising approach to interpret sign languages, and transfer learning can be used to achieve high testing accuracy despite using a small training dataset. Furthermore, we describe the implementation details of our model to interpret signs as a user-friendly web application.

scholarly journals The relationship between time to a high COVID-19 response level and timing of peak daily incidence: an analysis of governments’ Stringency Index from 148 countries

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Yan Ma ◽  
Shiva Raj Mishra ◽  
Xi-Kun Han ◽  
Dong-Shan Zhu
Keyword(s):  
Standard Error ◽  
Daily Basis ◽  
Linear Regression Models ◽  
Response Level ◽  
Peak Number ◽  
Epidemic Curve ◽  
Government Response ◽  
Early Arrival ◽  
High Level ◽  
The Relationship

Abstract Background The transmission dynamics and severity of coronavirus disease 2019 (COVID-19) pandemic is different across countries or regions. Differences in governments’ policy responses may explain some of these differences. We aimed to compare worldwide government responses to the spread of COVID-19, to examine the relationship between response level, response timing and the epidemic trajectory. Methods Free publicly-accessible data collected by the Coronavirus Government Response Tracker (OxCGRT) were used. Nine sub-indicators reflecting government response from 148 countries were collected systematically from January 1 to May 1, 2020. The sub-indicators were scored and were aggregated into a common Stringency Index (SI, a value between 0 and 100) that reflects the overall stringency of the government’s response in a daily basis. Group-based trajectory modelling method was used to identify trajectories of SI. Multivariable linear regression models were used to analyse the association between time to reach a high-level SI and time to the peak number of daily new cases. Results Our results identified four trajectories of response in the spread of COVID-19 based on when the response was initiated: before January 13, from January 13 to February 12, from February 12 to March 11, and the last stage—from March 11 (the day WHO declared a pandemic of COVID-19) on going. Governments’ responses were upgraded with further spread of COVID-19 but varied substantially across countries. After the adjustment of SI level, geographical region and initiation stages, each day earlier to a high SI level (SI > 80) from the start of response was associated with 0.44 (standard error: 0.08, P < 0.001, R2 = 0.65) days earlier to the peak number of daily new case. Also, each day earlier to a high SI level from the date of first reported case was associated with 0.65 (standard error: 0.08, P < 0.001, R2 = 0.42) days earlier to the peak number of daily new case. Conclusions Early start of a high-level response to COVID-19 is associated with early arrival of the peak number of daily new cases. This may help to reduce the delays in flattening the epidemic curve to the low spread level. Graphic abstract

scholarly journals Inference of Mood State Indices by Using a Multimodal High-Level Information Fusion Technique

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Chih-Hua Tai ◽  
Kuo-Hsuan Chung ◽  
Ya-Wen Teng ◽  
Feng-Ming Shu ◽  
Yue-Shan Chang
Keyword(s):  
Information Fusion ◽  
Mood State ◽  
Fusion Technique ◽  
Level Information ◽  
Information Fusion Technique ◽  
High Level

scholarly journals Report on the 18th International Symposium on Geo-disaster Reduction and the 4th Gu Dezhen Lecture, 20–22 November 2020, Beijing, China

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Shengwen Qi ◽  
Ning Liang ◽  
Kongming Yan ◽  
Zili Dai ◽  
Fawu Wang
Keyword(s):  
International Symposium ◽  
Disaster Reduction ◽  
High Level ◽  
The Relationship ◽  
Beijing China

AbstractThe 18th International Symposium on Geo-disaster Reduction (ISGdR) was held on 20–22 November in Beijing, China, focusing on the theme of “Improving the Relationship between Geoenvironment and Society”. In this symposium, a high-level Gu Dezhen Lecture and a number of keynote and invited lectures provided a platform for scientists, industrial professionals and students to share their researches and exchange novel ideas on geo-disaster reduction in a hybrid way of offline and online.

Sign in / Sign up

Export Citation Format

Share Document