Grid Technologies in Epidemiology

2011 ◽  
pp. 426-443
Author(s):  
Ignacio Blanquer ◽  
Vicente Hernandez
Keyword(s):  
Large Scale ◽  
Heterogeneous Data ◽  
Semantic Integration ◽  
Security And Privacy ◽  
Use Case ◽  
Seamless Integration ◽  
Computationally Intensive ◽  
Art Research ◽  
Additional Constraints

Epidemiology constitutes one relevant use case for the adoption of grids for health. It combines challenges that have been traditionally addressed by grid technologies, such as managing large amounts of distributed and heterogeneous data, large scale computing and the need for integration and collaboration tools, but introduces new challenges traditionally addressed from the e-health area. The application of grid technologies to epidemiology has been concentrated in the federation of distributed repositories of data, the evaluation of computationally intensive statistical epidemiological models and the management of authorisation mechanism in virtual organisations. However, epidemiology presents important additional constraints that are not solved and harness the take-off of grid technologies. The most important problems are on the semantic integration of data, the effective management of security and privacy, the lack of exploitation models for the use of infrastructures, the instability of Quality of Service and the seamless integration of the technology on the epidemiology environment. This chapter presents an analysis of how these issues are being considered in state-of-the-art research.

A Use Case for Ontology Evolution and Interoperability

2013 ◽  
pp. 387-415
Author(s):  
Mathias Uslar ◽  
Fabian Grüning ◽  
Sebastian Rohjans
Keyword(s):  
Quantitative Analysis ◽  
Electric Utility ◽  
Semantic Integration ◽  
International Standards ◽  
Use Cases ◽  
Use Case ◽  
Seamless Integration ◽  
Open Questions ◽  
Integration Architecture ◽  
Domain Models

Within this chapter, the authors provide two use cases on semantic interoperability in the electric utility industry based on the IEC TR 62357 seamless integration architecture. The first use case on semantic integration based on ontologies deals with the integration of the two heterogeneous standards families IEC 61970 and IEC 61850. Based on a quantitative analysis, we outline the need for integration and provide a solution based on our framework, COLIN. The second use cases points out the need to use better metadata semantics in the utility branch, also being solely based on the IEC 61970 standard. The authors provide a solution to use the CIM as a domain ontology and taxonomy for improving data quality. Finally, this chapter outlines open questions and argues that proper semantics and domain models based on international standards can improve the systems within a utility.

A Use Case for Ontology Evolution and Interoperability

2010 ◽  
pp. 187-209 ◽  
Author(s):  
Mathias Uslar ◽  
Fabian Grüning ◽  
Sebastian Rohjans
Keyword(s):  
Quantitative Analysis ◽  
Electric Utility ◽  
Semantic Integration ◽  
International Standards ◽  
Use Cases ◽  
Use Case ◽  
Seamless Integration ◽  
Open Questions ◽  
Integration Architecture ◽  
Domain Models

Within this chapter, the authors provide two use cases on semantic interoperability in the electric utility industry based on the IEC TR 62357 seamless integration architecture. The first use case on semantic integration based on ontologies deals with the integration of the two heterogeneous standards families IEC 61970 and IEC 61850. Based on a quantitative analysis, we outline the need for integration and provide a solution based on our framework, COLIN. The second use cases points out the need to use better metadata semantics in the utility branch, also being solely based on the IEC 61970 standard. The authors provide a solution to use the CIM as a domain ontology and taxonomy for improving data quality. Finally, this chapter outlines open questions and argues that proper semantics and domain models based on international standards can improve the systems within a utility.

scholarly journals Application of Deep Learning for Quality of Service Enhancement in Internet of Things: A Review

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6384
Author(s):  
Nasser Kimbugwe ◽  
Tingrui Pei ◽  
Moses Ntanda Kyebambe
Keyword(s):  
Quality Of Service ◽  
Deep Learning ◽  
Internet Of Things ◽  
Optimization Techniques ◽  
Security And Privacy ◽  
Potential Candidate ◽  
Critical Systems ◽  
Art Research ◽  
Privacy Breaches

The role of the Internet of Things (IoT) networks and systems in our daily life cannot be underestimated. IoT is among the fastest evolving innovative technologies that are digitizing and interconnecting many domains. Most life-critical and finance-critical systems are now IoT-based. It is, therefore, paramount that the Quality of Service (QoS) of IoTs is guaranteed. Traditionally, IoTs use heuristic, game theory approaches and optimization techniques for QoS guarantee. However, these methods and approaches have challenges whenever the number of users and devices increases or when multicellular situations are considered. Moreover, IoTs receive and generate huge amounts of data that cannot be effectively handled by the traditional methods for QoS assurance, especially in extracting useful features from this data. Deep Learning (DL) approaches have been suggested as a potential candidate in solving and handling the above-mentioned challenges in order to enhance and guarantee QoS in IoT. In this paper, we provide an extensive review of how DL techniques have been applied to enhance QoS in IoT. From the papers reviewed, we note that QoS in IoT-based systems is breached when the security and privacy of the systems are compromised or when the IoT resources are not properly managed. Therefore, this paper aims at finding out how Deep Learning has been applied to enhance QoS in IoT by preventing security and privacy breaches of the IoT-based systems and ensuring the proper and efficient allocation and management of IoT resources. We identify Deep Learning models and technologies described in state-of-the-art research and review papers and identify those that are most used in handling IoT QoS issues. We provide a detailed explanation of QoS in IoT and an overview of commonly used DL-based algorithms in enhancing QoS. Then, we provide a comprehensive discussion of how various DL techniques have been applied for enhancing QoS. We conclude the paper by highlighting the emerging areas of research around Deep Learning and its applicability in IoT QoS enhancement, future trends, and the associated challenges in the application of Deep Learning for QoS in IoT.

A Survey on Internet of Things : Applications and Layered Wise Security Issues

2019 ◽  
pp. 171-180
Author(s):  
Uppuluri Sirisha ◽  
G. Lakshme Eswari
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Security And Privacy ◽  
Global Network ◽  
Business Growth ◽  
Paper Briefly ◽  
Smart Meters ◽  
Security Issues ◽  
Data Points

This paper briefly introduces Internet of Things(IOT) as a intellectual connectivity among the physical objects or devices which are gaining massive increase in the fields like efficiency, quality of life and business growth. IOT is a global network which is interconnecting around 46 million smart meters in U.S. alone with 1.1 billion data points per day[1]. The total installation base of IOT connecting devices would increase to 75.44 billion globally by 2025 with a increase in growth in business, productivity, government efficiency, lifestyle, etc., This paper familiarizes the serious concern such as effective security and privacy to ensure exact and accurate confidentiality, integrity, authentication access control among the devices.

Assessment of quality of life in patients with the effects of transient ischemic stroke

2016 ◽  
pp. 37-39
Author(s):  
A. Babirad
Keyword(s):  
Quality Of Life ◽  
Ischemic Stroke ◽  
Large Scale ◽  
Cerebrovascular Diseases ◽  
Control Measures ◽  
Sociological Research ◽  
Cerebrovascular Events ◽  
Sf 36 ◽  
Angioplasty And Stenting

Cerebrovascular diseases are a problem of the world today, and according to the forecast, the problem of the near future arises. The main risk factors for the development of ischemic disorders of the cerebral circulation include oblique and aging, arterial hypertension, smoking, diabetes mellitus and heart disease. An effective strategy for the prevention of cerebrovascular events is based on the implementation of large-scale risk control measures, including the use of antiagregant and anticoagulant therapy, invasive interventions such as atheromectomy, angioplasty and stenting. In this connection, the efforts of neurologists, cardiologists, angiosurgery, endocrinologists and other specialists are the basis for achieving an acceptable clinical outcome. A review of the SF-36 method for assessing the quality of life in patients with the effects of transient ischemic stroke is presented. The assessment of quality of life is recognized in world medical practice and research, an indicator that is also used to assess the quality of the health system and in general sociological research.

BIM-Based Quality Control for Safety Issues in the Design and Construction Phases

2015 ◽  
Vol 9 (3) ◽  
pp. 111 ◽  
Author(s):  
Seunghwa Park ◽  
Inhan Kim
Keyword(s):  
Decision Making ◽  
Traditional Method ◽  
Building Information Modeling ◽  
Safety Management ◽  
Information Modeling ◽  
Use Case ◽  
Safety Issues ◽  
Building Information ◽  
Building Safety

Today’s buildings are getting larger and more complex. As a result, the traditional method of manually checking the design of a building is no longer efficient since such a process is time-consuming and laborious. It is becoming increasingly important to establish and automate processes for checking the quality of buildings. By automatically checking whether buildings satisfy requirements, Building Information Modeling (BIM) allows for rapid decision-making and evaluation. In this context, the work presented here focuses on resolving building safety issues via a proposed BIM-based quality checking process. Through the use case studies, the efficiency and usability of the devised strategy is evaluated. This research can be beneficial in promoting the efficient use of BIM-based communication and collaboration among the project party concerned for improving safety management. In addition, the work presented here has the potential to expand research efforts in BIM-based quality checking processes.

Model and Method for Contributor’s Quality Assessment in Community Image Tagging Systems

2018 ◽  
pp. 45-51
Author(s):  
A. V. Ponomarev
Keyword(s):  
Large Scale ◽  
Wide Spectrum ◽  
Preference Relation ◽  
Pairwise Comparison ◽  
Ground Truth ◽  
Comparison Method ◽  
Characteristic Matrix ◽  
Image Tagging ◽  
Proposed Model

Introduction: Large-scale human-computer systems involving people of various skills and motivation into the information processing process are currently used in a wide spectrum of applications. An acute problem in such systems is assessing the expected quality of each contributor; for example, in order to penalize incompetent or inaccurate ones and to promote diligent ones.Purpose: To develop a method of assessing the expected contributor’s quality in community tagging systems. This method should only use generally unreliable and incomplete information provided by contributors (with ground truth tags unknown).Results:A mathematical model is proposed for community image tagging (including the model of a contributor), along with a method of assessing the expected contributor’s quality. The method is based on comparing tag sets provided by different contributors for the same images, being a modification of pairwise comparison method with preference relation replaced by a special domination characteristic. Expected contributors’ quality is evaluated as a positive eigenvector of a pairwise domination characteristic matrix. Community tagging simulation has confirmed that the proposed method allows you to adequately estimate the expected quality of community tagging system contributors (provided that the contributors' behavior fits the proposed model).Practical relevance: The obtained results can be used in the development of systems based on coordinated efforts of community (primarily, community tagging systems). 

Translation and Validation of the Thai Version of the Wisconsin Quality of Life Questionnaire (TH WISQoL) for Kidney Stone Patients

2020 ◽  
Vol 103 (11) ◽  
pp. 1194-1199
Keyword(s):  
Quality Of Life ◽  
Internal Consistency ◽  
Kidney Stone ◽  
Convergent Validity ◽  
Large Scale ◽  
Short Form ◽  
Outcome Measurement ◽  
Life Questionnaire ◽  
Sf 36

Objective: To develop and validate a Thai version of the Wisconsin Quality of Life (TH WISQoL) Questionnaire. Materials and Methods: The authors developed the TH WISQoL Questionnaire based on a standard multi-step process. Subsequently, the authors recruited patients with kidney stone and requested them to complete the TH WISQoL and a validated Thai version of the 36-Item Short Form Survey (TH SF-36). The authors calculated the internal consistency and interdomain correlation of TH WISQoL and compared the convergent validity between the two instruments. Results: Thirty kidney stone patients completed the TH WISQoL and the TH SF-36. The TH WISQoL showed acceptable internal consistency for all domains (Cronbach’s alpha 0.768 to 0.909). Interdomain correlation was high for most domains (r=0.698 to 0.779), except for the correlation between Vitality and Disease domains, which showed a moderate correlation (r=0.575). For convergent validity, TH WISQoL demonstrated a good overall correlation to TH SF-36, (r=0.796, p<0.05). Conclusion: The TH WISQoL is valid and reliable for evaluating the quality of life of Thai patients with kidney stone. A further large-scale multi-center study is warranted to confirm its applicability in Thailand. Keywords: Quality of life, Kidney stone, Validation, Outcome measurement

Comprehensive Handbook of Childhood Cancer and Sickle Cell Disease

2006 ◽  
Keyword(s):  
Quality Of Life ◽  
Sickle Cell Disease ◽  
Childhood Cancer ◽  
Children And Adolescents ◽  
Peer Relationships ◽  
Sickle Cell ◽  
Cell Disease ◽  
Life Issues ◽  
Art Research

Over recent decades, tremendous advances in the prevention, medical treatment, and quality of life issues in children and adolescents surviving cancer have spawned a host of research on pediatric psychosocial oncology. This important volume fulfills the clear need for an up-to-date, comprehensive handbook for practitioners that delineates the most recent research in the field--the first of its kind in over a decade. Over 60 renowned authors have been assembled to provide a thorough presentation of the state-of-the art research and literature, with topics including: -Neuropsychological effects of chemotherapy and radiation therapy -Bone marrow transplantation -Important issues about quality of life during and following treatment -Collaborative research among child-focused psychologists -Standards of psychological care for children and adolescents -Stress and coping in the pediatric cancer experience -The role of family and peer relationships The Comprehensive Handbook of Childhood Cancer and Sickle Cell Disease represents both multidisciplinary and international efforts, an alliance between physicians and parents, and a combination of research and service. With a wealth of information of great interest to patients and their families, this volume will also be a welcome resource to the psychologists, psychiatrists, pediatricians, oncologists, nurses, and social workers who confront these issues as they help children and their families through the treatment, recovery, and grieving processes.

Evaluating Qualitative Research

2017 ◽  
Author(s):  
Jeasik Cho
Keyword(s):  
Qualitative Research ◽  
Large Scale ◽  
Academic Research ◽  
Research Community ◽  
Assessment Tools ◽  
Journal Articles ◽  
Journal Editors ◽  
The Past ◽  
Grant Proposals

This book provides the qualitative research community with some insight on how to evaluate the quality of qualitative research. This topic has gained little attention during the past few decades. We, qualitative researchers, read journal articles, serve on masters’ and doctoral committees, and also make decisions on whether conference proposals, manuscripts, or large-scale grant proposals should be accepted or rejected. It is assumed that various perspectives or criteria, depending on various paradigms, theories, or fields of discipline, have been used in assessing the quality of qualitative research. Nonetheless, until now, no textbook has been specifically devoted to exploring theories, practices, and reflections associated with the evaluation of qualitative research. This book constructs a typology of evaluating qualitative research, examines actual information from websites and qualitative journal editors, and reflects on some challenges that are currently encountered by the qualitative research community. Many different kinds of journals’ review guidelines and available assessment tools are collected and analyzed. Consequently, core criteria that stand out among these evaluation tools are presented. Readers are invited to join the author to confidently proclaim: “Fortunately, there are commonly agreed, bold standards for evaluating the goodness of qualitative research in the academic research community. These standards are a part of what is generally called ‘scientific research.’ ”

Sign in / Sign up

Export Citation Format

Share Document