Academic literature on the topic 'Cloud passport'

The paper discusses proposals for implementing the COVID-19 digital Vaccination Passport based on Blockchain that protects privacy. Since the end of the last year, after the commencement of vaccination against COVID-19, there has been an intense discussion on the form of introducing such a tool and the consequences of its implementation. This discussion is taking place in many European countries. One element of this discussion was the safety and anonymity of the massively verified data of persons on vaccinations in various areas of society functioning. These issues are being resolved by the proposed digital Vaccination Passport system. This system uses two major methods: Blockchain and hash functions, which allow you to maintain security, privacy, and anonymity at the same time. To improve the intuitiveness and simplicity of the system operation, the QR code technology was proposed in the passport verification process. The system has been implemented and tested in the Amazon AWS cloud computing environment. A reference architecture based on Blockchain for the AWS environment was proposed, dedicated to large and demanding application solutions. In addition, the cloud environment offers access to many tools that were used in the system’s implementation, significantly increasing the security of the entire solution.

Competency-based medical education (CBME) shifts us from static assessment of learning to developmental assessment for learning. However, implementation challenges associated with CBME remain a major hurdle, especially after training and into practice. The full benefit of developmental assessment for learning over time requires collaboration, cooperation, and trust among learners, regulators, and the public that transcends each individual phase. The authors introduce the concept of an “Education Passport” that provides evidence of readiness to travel across the boundaries between undergraduate medical education, graduate medical education, and the expanse of practice. The Education Passport uses programmatic assessment, a process of collecting numerous low stakes assessments from multiple sources over time, judging these data using criterion-referencing, and enhancing this with coaching and competency committees to understand, process, and accelerate growth without end. Information in the Passport is housed on a cloud-based server controlled by the student/physician over the course of training and practice. These data are mapped to various educational frameworks such Entrustable Professional Activities or milestones for ease of longitudinal performance tracking. At each stage of education and practice the student/physician grants Passport access to all entities that can provide data on performance. Database managers use learning analytics to connect and display information over time that are then used by the student/physician, their assigned or chosen coaches, and review committees to maintain or improve performance. Global information is also collected and analyzed to improve the entire system of learning and care. Developing a true continuum that embraces performance and growth will be a long-term adaptive challenge across many organizations and jurisdictions and will require coordination from regulatory and national agencies. An Education Passport could also serve as an organizing tool and will require research and high-value communication strategies to maximize public trust in the work.

In the context of globalization, English, as a unique passport to the world, is an important way for countries to communicate in information, technology, and culture. The output-oriented approach is a new theory of foreign language learning and teaching constructed by Chinese scholars, which has attracted widespread attention from foreign language scholars and front-line teachers and is expected to address the issue of “separation of learning and use” of English in Chinese universities. In the context of globalization, English, as a unique passport to the world, is an essential way for countries to exchange ideas about information, technology, and culture. Therefore, there is no doubt that English education plays a crucial role in nurturing the younger generation, especially at the high school level. This paper introduces an edge detection algorithm and an output-oriented approach to the teaching model of English translation. Questionnaires were administered to students in the control and experimental classes. The percentages of students who strongly disagreed, disagreed, neutral, agreed, and strongly agreed with the translation task based on their interest were 1.9%, 13%, 25.1%, 36.8%, and 23.2%, respectively.

"Human Health Passport", developed at the Institute of Gerontology for remote monitoring of health of the population, automatic assessment and determine the need for maintaining health and developed preventive measures necessary for health and labour activity of the population. The state of health is the basis of the general working capacity and functional age of the pensioners and the employee. In the world are exists basic scales for the definition and assessment of frailty, intrinsic capacity, assessment of cognitive abilities. We have created a method named "Human Health Passport" online for round-the-clock monitoring of public health online. The objective self-assessment or estimation by a medical specialist for individual and public health, physician, rehabilitator or geriatricians gets results of functional test state and questionnaire answers and computers assessment in the cloud. The content of the passport includes the research results of the Institute of Gerontology, worldwide gerontologists scales and WHO’s recommendations that have been adopted for the local communities (for Ukraine’s actual three languages: Ukrainian, Russian and English). The results of the test “Human Health Passport” help a person to get attention to the state of their health and workability and evaluate the possibility of the diseases. Detailed information on diseases and treatment is available after physician investigation. Meanwhile, the total individual data based can be used for monitoring aims in local professional populations. Using traditional methods such as systematization of research results, multivariate analysis of data, correlation and Cronbach's alpha analysis determined the degree of reliability on the basic parameters that make up the initial assessment, especially for remote monitoring of public health-based for all age groups. The results of monitoring randomized sample study have been shown high informativeness of the method regarding health state in persons with full employment status within age 31-85 years by all regions and administrative units in Ukraine. The results of the online monitoring "Human Health Passport" has been shown that the determination coefficients of the education parameters and occupational status, vision, hearing, metabolism, physical ability, cognition (mainly attention) and functional activity, mostly in the working population respondents determine a significant impact on health (p < 0.05 - 0.001) according to the total and scale assessment. Assessment of reliability, informativeness and analysis of correlation relationship between monitoring indicators are demonstrated as a favourable criterion of compliance of parameters to the scale of individual Human Health Passport. Similar patterns have been found on the population level mainly in working subjects as online users of mobile applications with remote automated health monitoring. Keywords: Human Health Passport; automatic assessment; the criterion of compliance of parameters; health and labour activity.

Deakin University’s online study environment continues to grow with over 12,000 students now studying in the Cloud. It is important to provide these students not only academic support, but also a sense of inclusion and community. This will improve their social engagement and from there, they will more likely succeed. In 2015, the Division of Student Life ran an online pilot based on their successful Peer-Assisted Study Sessions program. Results from the pilot were positive. Students reported greater connection with the subject and with their fellow students. The program will be expanded in 2016 based on this pilot.

Purpose: increasing the resource potential of objects of reclamation systems by developing a digitalization mechanism and an expert system for managing the efficiency of operation. An algorithm for the formation of the digital identity of individual reclamation systems is proposed, which presents the process of solving the logical problem of assessing the residual resource of individual objects of the reclamation system. The characteristics of the parameters of reclamation objects included in the Database of the expert system, focused on the creation of a flexible platform in the cloud environment with the prospect of predictive forecasting of the functioning efficiency, is given. The expediency of including the digital identity module in the passport of the melioration system has been substantiated. The factors influencing the efficient operation of the objects of reclamation systems are considered. The ranking of normative documents by the classification level of responsible persons has been completed. Requirements have been established for the level of competence of performers in the end-to-end document flow of monitoring the state of objects of reclamation systems throughout the entire period of operation. The fulfilled analysis of the structural elements of the objects of reclamation systems shows that the system of scheduled maintenance and repairs on demand, although it is sufficient to maintain the operable state of reclamation systems as a whole, does not include measures aimed at maintaining the modern level of workability of obsolete facilities. Particular attention in the research is paid to the issue of reducing the cost of operating reclamation facilities by carrying out a phased modernization of not only mechanical systems, but also by including additional modules of digital systems in the design that provide monitoring of the state and control of the complex in real time. The concept of formation of digital identity of objects of reclamation systems is proposed as a mechanism for increasing control over management and resource provision.

AbstractThe increasing population growth and urbanization rises the worldwide consumption of material resources and energy demand. The challenges of the future will be to provide sufficient resources and to minimize the continual amount of waste and energy demand. For the achievement of sustainability, increasing recycling rates and reuse of materials, next to the reduction of energy consumption has the highest priority.This article presents the results of the multidisciplinary research project SCI_BIM, which is conducted on an occupied existing building. Within SCI_BIM, a workflow for coupling digital technologies for scanning and modeling of buildings is developed. Laser scanning is used for capturing the geometry, and ground-penetrating radar is used for assessing material composition. For the semi-automated generation of an as-built BIM, algorithms are developed, wherefore the Point-Cloud serves as a basis. The BIM-model is used for energy modeling and analysis as well as for the automated compilation of Material Passports. Further, a gamification concept will be developed to motivate the buildings’ users to collect data. By applying the gamification concept, the reduction of energy consumption together with an automated update of the as-built BIM will be tested. This article aims to analyze the complex interdisciplinary interactions, data, and model exchange processes of various disciplines collaborating within SCI_BIM.Results show that the developed methodology is confronted with many challenges. Nevertheless, it has the potential to serve as a basis for the creation of secondary raw materials cadaster and for the optimization of energy consumption in existing buildings.

Through the use of blockchain technology, sensitive information may be securely communicated without the need to replicate it, which can assist in decreasing medical record mistakes and saving time by eliminating the need to duplicate information. Furthermore, the information is timestamped, which further enhances the security of the data even further. The deployment of blockchain technology in a range of healthcare situations may enhance the security and efficiency of payment transactions. In this way, only those who have been allowed access to patient medical information can see or modify such information. It is proposed in this study that blockchain technology be used to provide an accessible data storage and retrieval mechanism for patients and healthcare professionals in a healthcare system that is both safe and efficient. As of 1970, a variety of traditional knowledge-based approaches such as Personal Identification Recognition Number (PIRN), passwords, and other similar methods have been made available; however, many token-based approaches such as drivers’ licenses, passports, credit cards, bank accounts, ID cards, and keys have also been made available; however, they have all failed to establish a secure and reliable transaction channel. Because they are easily misplaced, stolen, or lost, they are usually unable to protect secrecy or authenticate the identity of a legitimate claimant. Aside from that, personally identifiable information such as passwords and PINs is very prone to fraud since they are easily forgotten or guessed by an imposter. Biometric identification and authentication (commonly known as biometrics) are attracting a great deal of attention these days, particularly in the realm of information security systems, due to its inherent potential and advantages over other conventional ways for identifying and authenticating. As a result of the device’s unique biological characteristics, which include features such as fingerprints, facepalms, hand geometry (including the iris), and the device’s iris, it can be used in a variety of contexts, such as consumer banking kiosks, airport security systems, international ports of entry, universities, office buildings, and forensics, to name a few. It is also used in several other contexts, including forensics and law enforcement. Consequently, every layer of the system—sensed data, computation, and processing of data, as well as the storage and administration of data—is susceptible to a broad variety of threats and weaknesses (cloud). There does not seem to be any suitable methods for dealing with the large volumes of data created by the fog computing architecture when normal data storage and security technologies are used. Because of this, the major objective of this research is to design security countermeasures against medical data mining vulnerabilities that originate from the sensing layer and data storage in the Internet of Things’ cloud database, both of which are discussed in more depth further down. A key allows for the creation of a distributed ledger database and provides an immutable security solution, transaction transparency, and the prohibition of tampering with patient information. This mechanism is particularly useful in healthcare settings, where patient information must be kept confidential. When used in a hospital environment, this method is extremely beneficial. As a result of incorporating blockchain technology into the fog paradigm, it is possible to alleviate some of the current concerns associated with latency, centralization, and scalability.

Buildings are the largest consumer of raw materials and simultaneously are responsible for 40% of the global energy consumption as well as for about 30% of global CO2 emissions. In order to reach sustainability goals such as reduction of the use of primary resources, it is of utmost importance to reuse or recycle the existing stocks – a strategy labelled as “Urban Mining”. The fact that the new construction rate is only 3%, underlines the importance of Urban Mining. However, there is lack of knowledge about the exact material composition and geometry of the existing stock, which represents the main obstacle for Urban Mining and accordingly for reaching high recycling rates. In this paper the Integrated Data Assessment and Modelling (IDAM) method based on digital scanning and modelling technologies for capturing of the geometry and material composition data is proposed for enabling a generation of as built Building Information Modelling (BIM)-models from acquired point clouds and non-geometric data. The main aim of this research is to explore the potential of the IDAM method for the generation of a BIM-model, which serves as basis for BIM-based Material Passports (MP), as major element enabling Circular Economy (CE) and Urban Mining strategies as well as the creation of a digital secondary raw materials cadastre. In order to deliver a proof of concept for IDAM, a real use case will be assessed in terms of geometry and material composition, and possibilities of data capturing via laser scanning and ground penetrating radar (GPR) for follow-up generation of a BIM-based MP explored. For capturing the geometry, laser scanning, and for capturing the material composition, GPR is used. The use of GPR for the generation of a BIM-model, which incorporates material information, addresses a research gap – the capturing and modelling of geometry is already well explored, however the methods and tools for capturing and modelling of the material composition of buildings are largely lacking. Result show, that the coupled use of capturing technologies has great potential to serve as basis for a BIM-based MP. Moreover, the use of GPR, enables a determination of embedded materials within a building, but is confronted with various difficulties. As a result, a framework, which can serve as groundwork for follow-up research, is presented.

The forgery of primary documents has become a cause of great concern in recent times. Forged passports have been used in significant numbers, and the number continues to rise year after year. As a result, there is a need for a quick, inexpensive technique that can recognize false passports. This is the same cause why researchers adapted our basic tasks to recognize persons effectively even at a stretch using the SURF matching technique for use in counterfeit passport detection applications. The use of the SURF matching algorithm to identify and so discover the targeting individual has been expanded to the detecting of false passports. This has broadened the area of the paper's application in both detection and tracking and the identification of duplicated passports. The outcome and applicability of our technology can be changed depending on the photographs associated with the input. In the case of a phony passport, the authors' article likewise tries to remove the patient's genuine identity.