Showing papers by "Østfold University College published in 2020"
TL;DR: This study analyzed various prospects of the country in renewable energy and discusses in-depth about the three Indian states, namely Karnataka, Gujarat, Tamil Nadu, which pioneers the renewable energy production in India.
Abstract: Clean and environment-friendly energy harvesting are of prime interest today as it is one of the key enablers in achieving the Sustainable Development Goals (SDGs) as well as accelerates social progress and enhances living standards. India, the second-most populous nation with a population of 1.353 billion, is one of the largest consumers of fossil fuels in the world which is responsible for global warming. An ever-increasing population is projected until 2050, and consequently, the energy demand in the upcoming decades will be co-accelerated by the rapid industrial growth. The Ministry of New and Renewable Energy (MNRE) with the support of National Institution for Transforming India (NITI) Aayog is working to achieve the Indian Government's target of attaining 175 GW through renewable energy resources. Many Indian states are currently increasing their renewable energy capacity in an objective to meet future energy demand. The review paper discusses in-depth about the three Indian states, namely Karnataka, Gujarat, Tamil Nadu, which pioneers the renewable energy production in India. The global energy scenario was discussed in detail with Indian contrast. Further, the barriers to the development of renewable energy generation and policies of the Indian government are discussed in detail to promote renewable energy generation throughout India as well as globally since the challenges are similar for other nations. This study analyzed various prospects of the country in renewable energy which has been done in a purpose to help the scholars, researchers, and policymakers of the nation, as it gives an insight into the present renewable energy scenario of the country.
254 citations
TL;DR: About 215 most important WSN clustering techniques are extracted, reviewed, categorized and classified based on clustering objectives and also the network properties such as mobility and heterogeneity, providing highly useful insights to the design of clustering Techniques in WSNs.
150 citations
TL;DR: A comprehensive review of different modelling, simulation, and analysis methods and different types of cyber-attacks, cybersecurity measures for modern CPPS is explored in this paper.
Abstract: Cyber-Physical System (CPS) is a new kind of digital technology that increases its attention across academia, government, and industry sectors and covers a wide range of applications like agriculture, energy, medical, transportation, etc. The traditional power systems with physical equipment as a core element are more integrated with information and communication technology, which evolves into the Cyber-Physical Power System (CPPS). The CPPS consists of a physical system tightly integrated with cyber systems (control, computing, and communication functions) and allows the two-way flows of electricity and information for enabling smart grid technologies. Even though the digital technologies monitoring and controlling the electric power grid more efficiently and reliably, the power grid is vulnerable to cybersecurity risk and involves the complex interdependency between cyber and physical systems. Analyzing and resolving the problems in CPPS needs the modelling methods and systematic investigation of a complex interaction between cyber and physical systems. The conventional way of modelling, simulation, and analysis involves the separation of physical domain and cyber domain, which is not suitable for the modern CPPS. Therefore, an integrated framework needed to analyze the practical scenario of the unification of physical and cyber systems. A comprehensive review of different modelling, simulation, and analysis methods and different types of cyber-attacks, cybersecurity measures for modern CPPS is explored in this paper. A review of different types of cyber-attack detection and mitigation control schemes for the practical power system is presented in this paper. The status of the research in CPPS around the world and a new path for recommendations and research directions for the researchers working in the CPPS are finally presented.
147 citations
TL;DR: A clear summary of the latest progress in the context of intrusion detection methods is prepared, a technical background on boosting is presented, and the ability of the three well-known boosting algorithms as IDSs is demonstrated by using five IDS public benchmark datasets.
78 citations
TL;DR: An ontology-based advertisement recommendation system that leverages the data produced by users in social networking sites is proposed, and this approach is substantiated by a shared ontology model with which to represent both users’ profiles and the content of advertisements.
Abstract: Social applications foster the involvement of end users in Web content creation, as a result of which a new source of vast amounts of data about users and their likes and dislikes has become available. Having access to users’ contributions to social sites and gaining insights into the consumers’ needs is of the utmost importance for marketing decision making in general, and to advertisement recommendation in particular. By analyzing this information, advertisement recommendation systems can attain a better understanding of the users’ interests and preferences, thus allowing these solutions to provide more precise ad suggestions. However, in addition to the already complex challenges that hamper the performance of recommender systems (i.e., data sparsity, cold-start, diversity, accuracy and scalability), new issues that should be considered have also emerged from the need to deal with heterogeneous data gathered from disparate sources. The technologies surrounding Linked Data and the Semantic Web have proved effective for knowledge management and data integration. In this work, an ontology-based advertisement recommendation system that leverages the data produced by users in social networking sites is proposed, and this approach is substantiated by a shared ontology model with which to represent both users’ profiles and the content of advertisements. Both users and advertisement are represented by means of vectors generated using natural language processing techniques, which collect ontological entities from textual content. The ad recommender framework has been extensively validated in a simulated environment, obtaining an aggregated f-measure of 79.2% and a Mean Average Precision at 3 (MAP@3) of 85.6%.
59 citations
TL;DR: In this paper, the authors explored the possibility of utilizing urea as a chemical admixture for lunar geopolymers, which can increase the workability while utilizing less water, would be highly beneficial for utilizing lunar regolith geopolymer for lunar 3D printing.
46 citations
TL;DR: In this paper, the authors investigated the link between housing market regulation and the growth of Airbnb, based upon Norwegian Airbnb listings and agent-based modelling and found that Airbnb's current growth will not simply flatten out when the supply matches the demand, but will be followed by a series of sudden crises and subsequent quick recoveries.
40 citations
TL;DR: In this article, the authors explored middle management strategies that can facilitate workplace learning when introducing eHealth and new ways of providing healthcare and found that there is a necessity for a shift towards learning-oriented leadership and adaptive management that emphasizes employee involvement and opportunities for learning.
35 citations
TL;DR: Patient participation was seen as a central aspect of the development of the TECT, as well as when using it, and can be used to better understand what is needed to develop, implement and improve such services.
Abstract: Healthcare services are facing extensive challenges due to the increased proportion of elderly persons and persons with chronic disease. Technology enabled care (TEC) is a collective term for telecare, telehealth, telemedicine, mobile (m)-, digital- and electronic (e) health services. TEC is increasingly seen as a solution to many of the challenges facing the health sector. Patient perspectives may provide a useful evaluation tool for new healthcare technologies that have limited clinical data to support their effectiveness. More studies need to be done to better understand the acceptance of technology in healthcare. This review aim to summarize empirical studies exploring patient experiences with TEC. Findings in this study can be used to better understand what is needed to develop, implement and improve such services. Systematic searches were conducted in the Pubmed, Psycinfo, Cinahl, Embase, Cochrane systematic reviews and Cochrane clinical trials databases. These studies were systematically reviewed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, subjected to quality appraisals using the Critical Appraisal Skills Program (CASP), and synthesized via integrative analysis. After removal of duplicates, languages other than English, and non-scientific records, 4087 titles and abstracts were screened. After assessment against inclusion and exclusion criteria, 69 records were screened in full-text, and underwent quality appraisal. 21 records were included in the integrative analysis. Patients’ experiences with TEC related to 1) technological features, namely functionality and appearance, and 2) evolving independence, namely empowerment, autonomy and security. Technological challenges lead to frustrations and negative experiences, while a stigmatizing appearance lead to patients not using the solution. Through the use of TECs, patients felt more empowered, learning about their condition, increasing awareness to their symptoms and treatment, and feeling more safe and self-efficient. Patient participation was seen as a central aspect of the development of the TECT, as well as when using it. This review deepens the understanding of patients’ experiences with technology enabled care solutions. Patients’ experiences not only relate to the practical/technical element of the device or solution, but to how this impact on their everyday life. Patient participation in development and planned use of such solutions should be considered an integral part in healthcare quality initiatives.
35 citations
TL;DR: A novel reduced part count MLI interfacing single-stage grid-tied PV system along with a closed-loop control strategy that ensures the maximum power tracking, dc-link voltage balancing, satisfactory operation of the MLI and injection of clean sinusoidal grid current under any dynamic changes is presented.
Abstract: Multilevel inverters (MLIs) have drawn tremendous attention in the power sector. Application of MLI has grown extensively to improve the power quality and efficiency of the photovoltaic (PV) system. For an MLI interfacing PV system, the size, cost and voltage stress are the key constraints of the MLI that need to be minimized. This paper presents a novel reduced part count MLI interfacing single-stage grid-tied PV system along with a closed-loop control strategy. The proposed MLI consists of n repeating units and a level boosting circuit (LBC) that assists in generating 4n + 7 voltage levels instead of 2n + 3 levels. Three different algorithms are proposed for a proper selection of dc-link voltages to enhance the levels further. A comparative analysis is carried out to confirm the superiority of the developed MLI. The workability of the proposed MLI is investigated with a 1.3 kW PV system. The closed-loop control strategy ensures the maximum power tracking, dc-link voltage balancing, satisfactory operation of the MLI and injection of clean sinusoidal grid current under any dynamic changes. Comprehensive simulation analysis is carried out considering a 15-level MLI structure. Experimental tests further confirm the practicality of the topological advancement for a PV system under different dynamic conditions.
34 citations
TL;DR: In this paper, the effect of temperature and addition of two different Micro-encapsulated Phase Change Materials (MPCM) to geopolymer concrete (GPC) and Portland cement concrete (PCC) and pastes was investigated.
TL;DR: This work examines an extreme case of the application of AI in the domain of government, and uses this case to examine a subset of the potential harms associated with algorithmic governance, and focuses on five objections based on political theoretical considerations and the potential political harms of an AI technocracy.
TL;DR: Empirical findings showing that restoration can occur in non-natural environments and through various sensory stimuli, as well as findings demonstrating that previous negative experience with nature can subsequently lower restorative effects, should prove to be a valuable framework for future research.
Abstract: Natural environments have been shown to trigger psychological and physiological restoration in humans. A new framework regarding natural environments restorative properties is proposed. Conditioned restoration theory builds on a classical conditioning paradigm, postulating the occurrence of four stages: (i) unconditioned restoration, unconditioned positive affective responses reliably occur in a given environment (such as in a natural setting); (ii) restorative conditioning, the positive affective responses become conditioned to the environment; (iii) conditioned restoration, subsequent exposure to the environment, in the absence of the unconditioned stimulus, retrieves the same positive affective responses; and (iv) stimulus generalization, subsequent exposure to associated environmental cues retrieves the same positive affective responses. The process, hypothetically not unique to natural environments, involve the well-documented phenomenon of conditioning, retrieval, and association and relies on evaluative conditioning, classical conditioning, core affect, and conscious expectancy. Empirical findings showing that restoration can occur in non-natural environments and through various sensory stimuli, as well as findings demonstrating that previous negative experience with nature can subsequently lower restorative effects, are also presented in support of the theory. In integration with other existing theories, the theory should prove to be a valuable framework for future research.
TL;DR: In this article, the authors show how liberals can justify government interference for the protection of privacy by relying on the avoidance of harm, and not on paternalism or other arguments not easily reconcilable with liberalism.
TL;DR: A hybrid high voltage gain non-isolated single switch converter for photovoltaic applications that connects the standard conventional Cuk and boost converter in parallel for providing continuous current mode operation with the help of a single power switch, which gives less voltage stress on controlled switch and diodes.
Abstract: In the current era, the desire for high boost DC-to-DC converter development has increased. Notably, there has been voltage gain improvement without adding extra power switches, and a large number of passive components have advanced. Magnetically coupled isolated converters are suggested for the higher voltage gain. These converters use large size inductors, and thus the non-isolated traditional boost, Cuk and Sepic converters are modified to increase their gain by adding an extra switch, inductors and capacitors. These converters increase circuit complexity and become bulky. In this paper, we present a hybrid high voltage gain non-isolated single switch converter for photovoltaic applications. The proposed converter connects the standard conventional Cuk and boost converter in parallel for providing continuous current mode operation with the help of a single power switch, which gives less voltage stress on controlled switch and diodes. The proposed hybrid topology uses a single switch with a lower component-count and provides a higher voltage gain than non-isolated traditional converters. The converter circuit mode of operation, operating performance, mathematical derivations and steady-state exploration and circuit parameters design procedures are deliberated in detail. The proposed hybrid converter circuit components, voltage gain and performance, were compared with other topologies in the literature. The MATLAB/Simulink simulation study and microcontroller-based experimental laboratory prototype of 150 W were implemented. The simulation study and experimentation results were confirmed to be a satisfactory agreement with the theoretical analysis. This topology produced non-inverting output in continuous input current mode using a single switch with high voltage gain (≈5.116 gain) with a maximum efficiency of 92.2% under full load.
University of Antwerp1, Karolinska Institutet2, Medical University of Warsaw3, HU University of Applied Sciences Utrecht4, Østfold University College5, First Faculty of Medicine, Charles University in Prague6, Swansea University7, University of Primorska8, Bournemouth University9, Martin Luther University of Halle-Wittenberg10, University of Pécs11, Slovak Medical University12
TL;DR: Nurses’ practice and interprofessional collaboration in PC is described from the viewpoint of nurses, physicians and pharmacists, and most healthcare professionals felt their involvement should be extended.
Abstract: Objectives Safe pharmaceutical care (PC) requires an interprofessional team approach, involving physicians, nurses and pharmacists. Nurses’ roles however, are not always explicit and clear, complicating interprofessional collaboration. The aim of this study is to describe nurses’ practice and interprofessional collaboration in PC, from the viewpoint of nurses, physicians and pharmacists. Design A cross-sectional survey. Setting The study was conducted in 17 European countries, each with their own health systems. Participants Pharmacists, physicians and nurses with an active role in PC were surveyed. Main outcome measures Nurses’ involvement in PC, experiences of interprofessional collaboration and communication and views on nurses’ competences. Results A total of 4888 nurses, 974 physicians and 857 pharmacists from 17 European countries responded. Providing patient education and information (PEI), monitoring medicines adherence (MMA), monitoring adverse/therapeutic effects (ME) and prescribing medicines were considered integral to nursing practice by 78%, 73%, 69% and 15% of nurses, respectively. Most respondents were convinced that quality of PC would be improved by increasing nurses’ involvement in ME (95%), MMA (95%), PEI (91%) and prescribing (53%). Mean scores for the reported quality of collaboration between nurses and physicians, collaboration between nurses and pharmacists and interprofessional communication were respectively Conclusions ME, MMA, PEI and prescribing are part of nurses’ activities, and most healthcare professionals felt their involvement should be extended. Collaboration between nurses and physicians on PC is limited and between nurses and pharmacists even more.
TL;DR: In this paper, microencapsulated phase change materials (MPCM) were incorporated in calcium sulphoaluminate cement (CSA) at high concentrations to achieve a significant effect on the thermal properties.
TL;DR: The findings illuminate the need for student‐centred strategies in nursing education, including elements of self‐assessment in relation to examination to make the students more aware of their clinical competence.
Abstract: AIMS: To identify clusters based on graduating nursing students' self-reported professional competence and their achievement on a national examination. Furthermore, to describe and compare the iden ...
27 Jun 2020
TL;DR: A Systematic Literature Review was carried out to provide a better understanding of this topic from the human factor's perspective, and raises the following question: Is DevSecOps going to become mainstream?
Abstract: DevOps goes beyond automation, continuous integration and delivery processes, since it also encompasses people. In fact, DevOps promotes the collaboration between the development team and the operations team. When security comes into DevOps routines, people play an even more relevant role involving the collaboration between those teams and security team. Moreover, security is especially relevant while developing critical systems where we need to manage goals, risks and evidences. After implementing security into the DevOps toolchain, work only starts. We also need to start with behavioral changes in order to create a security culture. Several authors underlined DevSecOps, as one of the proposals for solving or, at least, minimizing this challenge. However, to date, the characterization of such a culture remains unclear. In this paper, a Systematic Literature Review was carried out to provide a better understanding of this topic from the human factor's perspective. However it raises the following question: Is DevSecOps going to become mainstream?
27 Jun 2020
TL;DR: The definition ofdigital twin and state-of-the-art on the development of digital twin including reported work on the usability of a digital twin for cybersecurity are summarized.
Abstract: The advancements in the field of internet of things, artificial intelligence, machine learning, and data analytics has laid the path to the evolution of digital twin technology. The digital twin is a high-fidelity digital model of a physical system or asset that can be used e.g. to optimize operations and predict faults of the physical system. To understand different use cases of digital twin and its potential for cybersecurity incident prediction, we have performed a Systematic Literature Review (SLR). In this paper, we summarize the definition of digital twin and state-of-the-art on the development of digital twin including reported work on the usability of a digital twin for cybersecurity. Existing tools and technologies for developing digital twin is discussed.
TL;DR: The contribution of Piotr Galperin (1902-1988) to cultural-historical theory and related approaches to pedagogy remains little known in the West and is often reduced to listing the phases of the formation of mental actions.
TL;DR: The current systematic literature review shows that automatic diagnosis of infectious diseases using computational intelligence is well documented in the medical literature, and it is concluded that the most widely addressed infection is by far sepsis, followed by Clostridium difficile infection and surgical site infections.
Abstract: Infections encompass a set of medical conditions of very diverse kinds that can pose a significant risk to health, and even death. As with many other diseases, early diagnosis can help to provide patients with proper care to minimize the damage produced by the disease, or to isolate them to avoid the risk of spread. In this context, computational intelligence can be useful to predict the risk of infection in patients, raising early alarms that can aid medical teams to respond as quick as possible. In this paper, we survey the state of the art on infection prediction using computer science by means of a systematic literature review. The objective is to find papers where computational intelligence is used to predict infections in patients using physiological data as features. We have posed one major research question along with nine specific subquestions. The whole review process is thoroughly described, and eight databases are considered which index most of the literature published in different scholarly formats. A total of 101 relevant documents have been found in the period comprised between 2003 and 2019, and a detailed study of these documents is carried out to classify the works and answer the research questions posed, resulting to our best knowledge in the most comprehensive study of its kind. We conclude that the most widely addressed infection is by far sepsis, followed by Clostridium difficile infection and surgical site infections. Most works use machine learning techniques, from which logistic regression, support vector machines, random forest and naive Bayes are the most common. Some machine learning works provide some ideas on the problems of small data and class imbalance, which can be of interest. The current systematic literature review shows that automatic diagnosis of infectious diseases using computational intelligence is well documented in the medical literature.
TL;DR: The main focus of this paper is to design and assess the characteristics investigation of Novel Dual Stator Pseudo-Pole Five Phase Permanent Magnet Synchronous Generator for wind power application and finds that the power density of the proposed generator is maximum.
Abstract: The main focus of this paper is to design and assess the characteristics investigation of Novel Dual Stator Pseudo-Pole Five Phase Permanent Magnet Synchronous Generator (NDSPPFP-PMSG) for wind power application. The proposed generator has a dual stator and two sets of five phase windings which enhance its power density and fault tolerant capability. The novelty of this generator is based on the fact that, eight magnetic poles are formed using only four poles of actual magnets on both the surfaces of the rotor. For the designing and optimal electromagnetic performance of the proposed generator, a Dynamic Magnetic Circuit Model (DMCM) is reported. To validate the results obtained from DMCM, Finite Element Method (FEM) has been opted owing to its high accuracy. For showing the performance superiority, the proposed generator is compared with two conventional generators namely, Dual Stator Embedded-Pole Five Phase (DSEPFP) and Single Stator Single Rotor Five Phase (SSSRFP) PMSG. To compare their performances, FEM results are considered. The electromagnetic performance namely, generated Electromotive Force(EMF), percentage(%) Total Harmonic Distortion(THD) of generated EMF, generated EMF vs speed, terminal voltage vs load current, electromagnetic torque developed on rotor vs time, %ripple content in the torque, and %efficiency vs load current are investigated for all the three generators. From these investigations, it is found that the power density (power to weight ratio) of the proposed generator is maximum.
TL;DR: It is claimed that social robots are parasitic to deeply ingrained human social behaviour, in the sense that they exploit and feed upon processes and mechanisms that evolved for purposes that were originally completely alien to human-computer interactions.
Abstract: Can artificial intelligence (AI) develop the potential to be our partner, and will we be as sensitive to its social signals as we are to those of human beings? I examine both of these questions and how cultural psychology might add such questions to its research agenda. There are three areas in which I believe there is a need for both a better understanding and added perspective. First, I will present some important concepts and ideas from the world of AI that might be beneficial for pursuing research topics focused on AI within the cultural psychology research agenda. Second, there are some very interesting questions that must be answered with respect to central notions in cultural psychology as these are tested through human interactions with AI. Third, I claim that social robots are parasitic to deeply ingrained human social behaviour, in the sense that they exploit and feed upon processes and mechanisms that evolved for purposes that were originally completely alien to human-computer interactions.
TL;DR: A mapping was conducted to identify factors that impact blockchain initiatives, synthesize available evidence, and identify gaps between relevant approaches available in the literature to help practitioners to understand the main assessment factors that undermine blockchain implementations.
Abstract: Blockchain is considered as a major emerging technology that is having an ever‐increasing spread both in industrial and academic contexts. As the usage of blockchain keeps increasing, a fo...
TL;DR: This work highlights the main ethical considerations that have to be made in order to untangle the web of pros and cons of social robots in care as these Pros and cons are related the trade-offs regarding quantity and quality of care, process and outcome, and objective and subjective outcomes.
TL;DR: An amendment to this paper has been published and can be accessed via the original article.
Abstract: Aging is associated with reduced muscle mass and strength leading to impaired physical function. Resistance training programs incorporated into older adults’ real-life settings may have the potential to counteract these changes. We evaluated the effectiveness of 8 months resistance training using easily available, low cost equipment compared to physical activity counselling on physical function, muscle strength, and body composition in community-dwelling older adults receiving home care. This open label, two-armed, parallel group, cluster randomized trial recruited older adults above 70 years (median age 86.0 (Interquartile range 80–90) years) receiving home care. Participants were randomized at cluster level to the resistance training group (RTG) or the control group (CG). The RTG trained twice a week while the CG were informed about the national recommendations for physical activity and received a motivational talk every 6th week. Outcomes were assessed at participant level at baseline, after four, and 8 months and included tests of physical function (chair rise, 8 ft-up-and-go, preferred- and maximal gait speed, and stair climb), maximal strength, rate of force development, and body composition. Twelve clusters were allocated to RTG (7 clusters, 60 participants) or CG (5 clusters, 44 participants). The number of participants analyzed was 56–64 (6–7 clusters) in RTG and 20–42 (5 clusters) in CG. After 8 months, multilevel linear mixed models showed that RTG improved in all tests of physical function and maximal leg strength (9–24%, p = 0.01–0.03) compared to CG. No effects were seen for rate of force development or body composition. This study show that resistance training using easily available, low cost equipment is more effective than physical activity counselling for improving physical function and maximal strength in community-dwelling older adults receiving home care. ISRCTN1067873
TL;DR: Insight is provided into how teachers’ interactions with videos may contribute to enhancing their agentic capacity to learn and transformative digital agency in the ICTMOOC and for the design of videos in online courses.
Abstract: This study examines how videos may support participants’ learning in the Information and Communication Technology Massive Open Online Course (ICTMOOC) aimed to develop digital skills with pre- and ...
TL;DR: In this article, the rheological behavior of bis[(2-hydroxyethyl)ammonium] palmitate (DPA) fatty acid-derived ionic liquid crystal (ILC) and its dispersions in water has been determined.
TL;DR: This review aims to map and describe existing approaches to recording or using critical incidents and reflection in nursing and health professions literature over the last decade; identify challenges, facilitating factors, strengths, and weaknesses; and discuss relevance for nursing education.
Abstract: Background The terms critical incident technique and reflection are widely used but often not fully explained, resulting in ambiguity. Purpose The aims of this review were to map and describe existing approaches to recording or using critical incidents and reflection in nursing and health professions literature over the last decade; identify challenges, facilitating factors, strengths, and weaknesses; and discuss relevance for nursing education. Methods A systematic narrative review was undertaken. MEDLINE and the Cumulative Index to Nursing and Allied Health Literature were searched using MeSH terms, returning 223 articles (2006-2017). After exclusions, 41 were reviewed. Results Articles were categorized into 3 areas: descriptions of the development of an original tool or model, critical incidents or reflection on events used as a learning tool, and personal reflections on critical incidents. Conclusions Benefits have been identified in all areas. More attention is needed to the pedagogy of reflection and the role of educators in reflection.