Infrastructure Framework Research Articles

Architecting Resilience : A Framework for Secure and Compliant Healthcare IT Infrastructures

Healthcare information technology (IT) systems face unique challenges in maintaining data security and regulatory compliance while supporting critical patient care functions. This article provides a comprehensive analysis of the complex interplay between data protection measures and compliance requirements in the healthcare sector. We examine key components of data security, including encryption, data integrity measures, and secure transfer protocols, with a specific focus on their application to sensitive patient information. The impact of regulations such as HIPAA on system design and maintenance is explored, offering insights into the alignment of IT practices with evolving standards. Through a review of current literature and industry best practices, we present strategies for risk management, employee training, and the implementation of technical controls that address both security and compliance needs. Emerging trends, including cloud computing, the Internet of Medical Things (IoMT), and artificial intelligence in healthcare security, are discussed to provide a forward-looking perspective. This article contributes to the ongoing dialogue on balancing innovation with security in healthcare IT, offering practical recommendations for healthcare organizations to enhance their data protection measures while ensuring regulatory compliance.

Risk assessment of urban infrastructure vulnerability to meteorological disasters: A case study of Dongguan, China

Effective forecasting and response to meteorological hazards are crucial for safeguarding life, property, and supporting sustainable socioeconomic development. With the rising frequency and severity of meteorological hazards worldwide, this study proposes an enhanced risk assessment framework for urban infrastructure exposed to extreme weather events, with a focus on cascading impacts to critical services such as electricity, communication, and transportation networks (roads and subways). A disaster-loss model is developed to quantify infrastructure vulnerability at various spatial and temporal scales under heavy rainfall conditions, accounting for secondary effects. The model's performance is validated through empirical analysis of a 15-year rainfall event in Dongguan City, China, occurring from September 7–8, 2023. Results indicate the model's ability to predict real-event outcomes with approximately 70% accuracy. This model offers valuable insights for disaster prevention and mitigation strategies, aiding decision-makers in optimizing emergency resource allocation, enhancing disaster response efficiency, and issuing timely public risk warnings to minimize losses.

Electric vehicles charging infrastructure framework using internet of things

Electric vehicles (EVs) sales have grown rapidly recently, and more growth is expected over the coming years. A challenging problem arises when managing different battery requirements of moving EVs through reliable Charging Stations (CSs). Current concerns for EV users are long waiting lines at CSs and dropping below a predefined battery capacity limit. For this reason, this paper proposes an Internet of Things (IoT)-based EV charging scheduling system, which with the use of IoT technologies, decides the optimal assignment between EVs and Charging Points (CPs) located at different CSs at given time t. By using cloud computing and real time data such as number of EVs, number of CSs, number of CPs at different CSs … etc; the scheduling controller uses a recursive algorithm to generate all possible scenarios, and then shares the optimal assignment (that minimizes the average waiting time and fulfill battery constraints and charging needs) with all EVs. To test the validity of the IOT based scheduling system, sensitivity analysis by running different scenarios (pertaining to different parameters) was conducted. The different scenarios were compared to a base scenario where the system was not used and real-life random assignment is considered. The different run scenarios show superiority over the base scenario in terms of average waiting time (WT) and battery capacity threshold. For example, in the base scenario, violation of battery capacity threshold occurred 9.1% of the time, making random selection an unreliable choice versus no violations when the IOT scheduling system is used. Also, all tested scenarios under the IOT scheduling system show shorter average WT compared to the base scenario. For instance, scenarios 2 and 3 show more than 35% and 55% decrease in WT compared to the base scenario.

Institutional Mechanisms for Enhancing Production of Doctoral Research Outputs at Makerere University

In the contemporary knowledge society, research production is being re-purposed in terms of not just its academic value, but also its wider societal value. As such, doctoral research ought to be produced in the context of application. Therefore, universities have a responsibility to enhance the uptake and use of doctoral research outputs. This necessitates institutional mechanisms for enhancing the production of doctoral research outputs for uptake and use beyond the academia. We examined the institutional mechanisms for enhancing production of doctoral research outputs at Makerere University using the research knowledge infrastructure (RKI) framework as the analytical lens. This was in light of the dismal uptake and use of research produced at Makerere University by students and staff. We used qualitative single case study research design. We collected data through interviewing and review of documents. We interviewed 10 doctoral program coordinators, three managers of research and graduate training and 13 PhD students we selected purposively. We reviewed seven institutional documents pertaining graduate training at Makerere University: two plans, three policies, one framework and one guideline. We used thematic data analysis to make sense of the data. The findings revealed that due to policy-practice gaps and funding constraints, mechanisms to enhance doctoral research production to facilitate uptake and use of doctoral research outputs beyond the academia were not adequately integrated into doctoral research training. This was shown by the lack of mechanisms to enhance doctoral research commissioning and execution, and gaps in priority setting. Opportunities for productive interactions between doctoral researchers and potential users were missed. As such, doctoral research outputs largely remained within the scholarly community. We recommend that the university should establish interface structures and co-creation spaces to leverage doctoral research commissioning, execution and priority setting to facilitate the uptake and use of doctoral research outputs beyond the scientific community

A comprehensive framework for circular product-service systems in infrastructure: Enhancing customer-contractor collaboration

Product-service systems (PSS) represent a business model that increases material decoupling and decreases environmental risks while providing customer value. PSS can help realize a more sustainable construction industry, which remains among the largest polluting and waste-generating sectors. Systemic change in the infrastructure sector requires client involvement, which is represented by the government. However, establishing circular PSS is challenging due to the complexities, which need to combine the lifecycle approach, customer-client aspects, new contracting, knowledge transfer, technology, and PSS-specific aspects. It requires ex-ante evaluation of real case studies to increase knowledge and understanding. This article presents a first-of-its-kind framework for infrastructure based on the current literature and analysis of five infrastructure pilots in the Netherlands (bridge deck, digital road lights, guide rails, roads). The final multistakeholder integrated circular PSS framework includes i) lifecycle perspective and circularity, a) materials and b) management, ii) customer-contractor relationship including a) customer-perspective b) co-creation aspects, c) client-customer hierarchy, iii) technology perspective (functions and resources) iv) business aspects such as a) network and b) value creation and retention. The framework allows customer-contractor communication and can serve as decision support. It is applicable to circular PSS where the customer has more involvement in the formulation of PSS.

Резильєнтність в атомній енергетиці: визначення та концептуалізація поняття

The paper presents an analysis of the concept of resilience within the framework of critical infrastructure, specifically focusing on nuclear energy. It offers a definition of resilience tailored to the nuclear sector, emphasizing the critical role in ensuring nuclear and radia-tion safety at nuclear power plants. The study draws a parallel between the resilience con-cept and the defense-in-depth strategy widely adopted in nuclear power plants, highlight-ing the importance of resilience in addressing high-impact, low-probability events. The research identifies key directions for advancing the understanding and application of resilience in nuclear energy, including the development of assessment methodologies that align with nuclear safety standards. The article underscores the potential benefits of integrating resi¬lience into existing safety paradigms, proposing that such integration could enhance the ability of nuclear power plants to anticipate, withstand, and recover from ex-treme disruptions (initia¬ting events), thereby contributing to the overall sustainability of nuclear energy systems.

Creating financial mechanisms for enacting the monotowns revitalization strategy

The article provides an analysis of a study focused on crafting financial mechanisms to enact the monotown revitalization strategy. Monotowns marginalized within the economic development landscape encounter multifaceted challenges, including demographic decline, elevated unemployment rates, and degradation of social infrastructure. Consequently, the formulation of efficient financial mechanisms emerges as imperative for their resurgence. The objective of this study is to formulate efficient financial mechanisms to facilitate the implementation of monotown revitalization strategies. This entails a comprehensive examination of the existing conditions within monotowns, encompassing the identification of pertinent challenges and potential avenues for development. Additionally, the study aims to devise financial strategies and instruments geared towards fostering both economic advancement and social progress within these locales. Scientifically, the significance of this research resides in the conception of novel financing paradigms tailored specifically for monotowns, thereby fostering their sustainable development. Practically, the research holds relevance in its potential application, as the developed mechanisms stand poised for utilization by governmental and municipal entities in the execution of monotown revival initiatives. Consequently, this investigation contributes substantively to the realm of regional development management and financial planning. Its findings are poised to offer utility to governmental bodies, corporate entities vested in the enhancement of regional infrastructural frameworks and the rejuvenation of monotowns.

Institutional Mechanisms for Enhancing Production of Doctoral Research Outputs at Makerere University

In the contemporary knowledge society, research production is being re-purposed in terms of not just its academic value, but also its wider societal value. As such, doctoral research ought to be produced in the context of application. Therefore, universities have a responsibility to enhance the uptake and use of doctoral research outputs. This necessitates institutional mechanisms for enhancing the production of doctoral research outputs for uptake and use beyond academia. We examined the institutional mechanisms for enhancing production of doctoral research outputs at Makerere University using the research knowledge infrastructure (RKI) framework as the analytical lens. This was in light of the dismal uptake and use of research produced at Makerere University by students and staff. We used qualitative single case study research design. We collected data through interviewing and review of documents. We interviewed 10 doctoral program coordinators, three managers of research and graduate training and 13 PhD students we selected purposively. We reviewed seven institutional documents pertaining graduate training at Makerere University: two plans, three policies, one framework and one guideline. We used thematic data analysis to make sense of the data. The findings revealed that due to policy-practice gaps and funding constraints, mechanisms to enhance doctoral research production to facilitate uptake and use of doctoral research outputs beyond the academia were not adequately integrated into doctoral research training. This was shown by the lack of mechanisms to enhance doctoral research commissioning and execution, and gaps in priority setting. Opportunities for productive interactions between doctoral researchers and potential users were missed. As such, doctoral research outputs largely remained within the scholarly community. We recommend that the university should establish interface structures and co-creation spaces to leverage doctoral research commissioning, execution and priority setting to facilitate the uptake and use of doctoral research outputs beyond the scientific community.

Investigating the impact of the internet on managing green financial innovation and improving agricultural conditions in water-scarce Asian regions using ANN modeling

This research focuses on the importance of management strategies, green innovation, and sustainable practices in the agricultural sector. These factors are crucial for job creation, food security, and environmental conservation. Particularly in water-scarce regions, effective management is necessary to overcome natural resource constraints and encourage a shift towards digital agriculture (AGRI). The study aims to identify and analyze the challenges and issues related to agricultural research and technology in Asian countries. The collected data were analyzed using exploratory factor analysis in the SPSS software. The analysis revealed a range of issues and challenges for agricultural development, including those related to the structure and policy framework, the availability and quality of resources and infrastructures, and the provision of effective support services, all of which encompassed factors such as research and technology investment, research management, productivity, research culture, networking, and the integration of higher education and agricultural research. To estimate the efficiency of technology development, agricultural development, and support services for AGRI, an artificial neural network (ANN) was utilized. The ANN was trained by incorporating changes in management strategies, green innovation, and sustainability across a broader range of experimental scenarios. The evaluation of the ANN's predictions showed that improvements in management strategies and the adoption of green innovation and sustainability significantly impacted the productivity of technology development, agricultural development, and support services for AGRI. The accuracy of the ANN's predictions was further assessed using linear regression. The results indicated an acceptable level of error when compared to the target results obtained from experimental tests. Overall, this study emphasizes the importance of effective management, green innovation, and sustainable practices in driving advancements in technology and agricultural development.

The role of Nature-Based Solutions for the water flow management in a Mediterranean urban area

Due to climate change and rapid urban sprawl, central Mediterranean regions are subjected to short but intensive storm events resulting in a significant increase of flow rates and runoff volumes in low-lying coastal urban areas. Within the framework of green urban infrastructures (GUIs), a suitable combination of Nature-Based Solutions (NBS) with traditional grey infrastructures should be adopted to mitigate flood risk effects in urban and sub-urban areas contributing at the same time to achieve multiple benefits for both the environment and the community. The aim of this study is (i) to evaluate flood hazard maps for identifying the areas within a Sicilian hydrological river basin (Toscano catchment) with a high risk of flooding by implementing the HEC-RAS model at catchment scale; (ii) to quantify the peak flow and floodplain area reduction; (iii) to assess the effectiveness of small-scale NBS (green roofs, porous pavements, rain gardens and rain barrel), in terms of peak flow and runoff volume reductions, at urban block scale by using the EPA SWMM model Model simulations are performed integrating the hydraulic (HEC-RAS) and hydrological (EPA SWMM) models for return periods of 10, 50 and 200 years. The results showed that the estimated peak flow (m3 s−1) obtained from the simulations performed at catchment scale for each T in the current scenario (without NBS) using HEC-RAS and EPA SWMM models are very close to each other (R2 = 0.99). In addition, the utopian scenario simulation showed the HEC-RAS model sensitivity to CN calibration achieving a peak flow reduction up to about 60% with the floodplain area decreasing up to about 17%. Finally, the model EPA SWMM shows its sensitivity to NBS implementation at urban block scale with a peak flow reduction up to about 16% and a runoff volume (mm) reduction up to about 24%. These reductions decrease as T increases with a higher NBS mitigation effects for the lowest T. The results highlighted that the integration of NBS in urban areas could have hydrological and hydraulic positive effects, particularly in terms of peak flow and runoff volume reduction. Furthermore, the results suggest that small-scale NBS have a potential to be effective to smaller rainfall events, but a combination with large-scale NBS is necessary to cope with extreme events.

Academic librarians’ Twitter practices and the production of knowledge infrastructures in higher education

This short paper describes the use of infrastructural theory to interrogate data gathered for an ongoing study on the Twitter practices of academic librarians at one research-intensive university in the United Kingdom. In tandem with wider changes in networked technologies and ways of producing scholarship, academic librarians’ roles have shifted increasingly to knowledge production, particularly in the area of research support. A related shift has been academic librarians’ adoption of social media, particularly Twitter, to disseminate information and encourage community and collaboration. The few existing studies of librarians’ Twitter practices, however, frame such activity as service promotion, overlooking the relationship between technology and professional practice entwined and concomitant social effects in the university. The theoretical framework devised for this study was woven from research in anthropology and Science and Technology Studies about the nature of infrastructure. Instead of viewing infrastructure as separate and monolithic substrates supporting the circulation of goods and information, such theory posits infrastructure as relational and contingent, constituted of political decisions and having broad and co[1]constitutive social effects on knowledge, subjectivities and agencies (Jensen & Morita, 2017). The study’s theoretical framework particularly draws on the notion of knowledge infrastructures defined as “networks of people, artifacts, and institutions that generate, share, and maintain specific knowledge about the human and natural worlds” (Edwards, 2010). The framework therefore emphasises the invisible labour of infrastructure — often dubbed infrastructuring — and related socio-political practices of design and maintenance that embody promises for the future (Larkin, 2018). In this picture, infrastructure is fragile and contingent, shaped by its installed base, and remarkably complicated, unfixed and open to contestation. Based on preliminary findings, the study argues that academic librarians' Twitter practices constitute knowledge infrastructures in higher education. Using an infrastructural framework helped foreground the material conditions of librarians’ knowledge production in terms of entanglements of technology and professional values, shifts in professional subjectivities and performative effects within the university. A tentative implication for studies of technology and learning is that, by insisting that infrastructure and social activity are intertwined, learners and teachers are not framed in opposition to infrastructure and are thus better able to contest totalising narratives surrounding infrastructural learning technologies such as VLEs or MOOCs. In this picture, therefore, infrastructure is not simplistically background bulwark or sinister force. Appreciating the invisible labour involved in creating and sustaining infrastructure is therefore important for understanding contemporary learning contexts.

A GNN-Based Adversarial Internet of Things Malware Detection Framework for Critical Infrastructure: Studying Gafgyt, Mirai, and Tsunami Campaigns

A GNN-Based Adversarial Internet of Things Malware Detection Framework for Critical Infrastructure: Studying Gafgyt, Mirai, and Tsunami Campaigns

Fostering inter-sectorial integration: Legal and policy framework for physical infrastructure in Addis Ababa, Ethiopia

Fostering inter-sectorial integration: Legal and policy framework for physical infrastructure in Addis Ababa, Ethiopia

Assessment of Theoretical and Test Performance Considerations of Concentrated Solar Water Purification System “Parabosol” in Underserved Regions

Water is a fundamental human right and a prerequisite for sustainable development because it is an essential element of existence. Notwithstanding, a huge part of the world’s population continues to face challenges in accessing clean and safe drinking water. This situation is particularly pronounced in arid and underdeveloped regions where there is a global water crisis that is a huge threat to human health, economic development, and environmental stability. Designed with solar energy, the award-winning “Parabosol” enhances water evaporation and purifies it simultaneously. Parabosol does not require any expensive machines or complicated infrastructural frameworks, making it both cost-effective and efficient for such vulnerable communities. Transporting it easily allows for quick deployment in remote areas during emergencies, ensuring a clean, dependable water supply for basic household use. This innovative measure, which reduces the risk of waterborne diseases and increases access to safe water resources within communities, could greatly contribute to public health promotion efforts. It is intended for daily performance that corresponds to the minimum needs of one family unit (no less than 35 L per person). The processing capacity of each station varies between 120 and 180 L of water per day (depending on geographical and environmental conditions), depending on geographical and meteorological (solar radiation values) factors. However, experimental values are around 250 L. Parabosol illustrates a novel model with its distinctive design and functionality, highlighting the critical role of clean energy in the development of a more sustainable and resilient future. Additionally, unlike macrosystems that require a substantial initial investment and ongoing operating costs, Parabosol is a portable solution that has the potential to address the issue of clean water scarcity in the future.

Critical Infrastructure in Historical Perspective: The Portuguese Railroad Network in the Second Half of the Nineteenth Century

In the 1850s, Portugal initiated an ambitious public works program spearheaded by railroads. In this article, I analyze how policymakers (congressmen, government officials, engineers, and military officers) debated and managed the construction and operation of the Portuguese railroad network using the theoretical framework of critical infrastructure. I show that railroads were deemed critical to modernize the country, draw it closer to the European core nations and further from the periphery, and to attract traffic to the Portuguese harbors. The absence of railroads was considered a vulnerability that could jeopardize Portugal as a nation and it fostered a sense of urgency that motivated policymakers to act, to a large extent, hastily. The construction of the network brought about other vulnerabilities that, for different motives, could threaten the future of the country. In a parallel way, the implementation of the system was marked by vulnerabilities that originated within or surrounding it, which limited its technical potential. Balancing between a literature review and the use of primary sources (parliamentary debates, technical reports, the press, and photography), I argue that the criticality associated with railroads, as a sociotechnical construction, was central to motivate their construction, but different vulnerabilities, inherent or external to the system, limited their influence and the advantages touted by its promoters.

Optimization of containerized application deployment in virtualized environments: a novel mathematical framework for resource-efficient and energy-aware server infrastructure

This study addresses the critical need for effective resource management through software container migration in cloud data centers. It emphasizes its role in avoiding resource shortages and reducing energy consumption in cloud environments. This study introduces a novel multi-objective integer linear programming (ILP) approach for software container replacements, complemented by a specialized algorithm designed to migrate software containers between over- and underutilized hosts to enhance efficiency compared to traditional optimization methods. The simulation results demonstrate the algorithm's effectiveness, validating its potential for optimizing energy usage and resource allocation in cloud environments. Statistical analyses confirm the proposed model's and algorithm's superiority over benchmark approaches, highlighting their potential for enhancing resource management in cloud computing systems.

The importance of organizational capacities for collaborative research: boundary crossings within a Swedish research–practice partnership

ABSTRACT Research – practice partnerships (RPPs) in education have been on the political agenda in Sweden during the last years. RPPs are long-term collaborations between higher education institutions and school districts (municipalities) and schools which intend to facilitate teacher-researcher collaboration in close relation to the teaching practice. This study focuses on a Swedish RPP between one university and multiple municipalities. It explores why two comparable municipalities differed in their success in the partnership’s core activity: calls for funding for collaborative research. Using the theoretical framework of absorptive capacity and boundary infrastructure, the internal organization of the two municipalities and how the RPP-initiative was docked into these organizations were analysed. We interviewed municipal- and school-level actors involved in the application processes within the two municipalities. Significant results include that for equal opportunities for teacher – researcher collaboration, municipalities must develop an organizational capacity that allows them to learn productively from external partners and recognize the knowledge provided by boundary spanners. This study contributes to the expanding literature on partners’ strategies to address emerging challenges of RPPs. It expands our understanding of how municipalities’ internal organization facilitates or hinders collaborative research within RPPs in education.

Adaptive Scheduling of High-Availability Drone Swarms for Congestion Alleviation in Connected Automated Vehicles

The Intelligent Transportation System (ITS) serves as a pivotal element within urban networks, offering decision support to users and connected automated vehicles (CAVs) through comprehensive information gathering, sensing, device control, and data processing. Presently, ITS predominantly relies on sensors embedded in fixed infrastructure, notably Roadside Units (RSUs). However, RSUs are confined by coverage limitations and may encounter challenges in prompt emergency responses. On-demand resources, such as drones, present a viable option to supplement these deficiencies effectively. This paper introduces an approach where Software-Defined Networking (SDN) and Mobile Edge Computing (MEC) technologies are integrated to formulate a high-availability drone swarm control and communication infrastructure framework, comprising the cloud layer, edge layer, and device layer. Drones confront limitations in flight duration attributed to battery limitations, posing a challenge in sustaining continuous monitoring of road conditions over extended periods. Effective drone scheduling stands as a promising solution to overcome these constraints. To tackle this issue, we initially utilized Graph WaveNet, a specialized graph neural network structure tailored for spatial-temporal graph modeling, for training a congestion prediction model using real-world dataset inputs. Building upon this, we further propose an algorithm for drone scheduling based on congestion prediction. Our simulation experiments using real-world data demonstrate that, compared to the baseline method, the proposed scheduling algorithm not only yielded superior scheduling gains but also mitigated drone idle rates.

Providing the conceptual framework and architecture of spatial knowledge infrastructure (SKI) with the application of spatial web services

Providing the conceptual framework and architecture of spatial knowledge infrastructure (SKI) with the application of spatial web services

New criteria for sustainable land use planning of metropolitan green infrastructures in the tropical Andes

ContextUrbanization is rapidly increasing worldwide, with about 60% of the global population currently residing in cities and expected to reach 68% by 2050. In Latin America's tropical Andes region, managing these changes poses challenges, including biodiversity loss and vulnerability to climate change.ObjectivesThis study assesses urban growth and agricultural intensification impacts on the ecological functionality of metropolitan green infrastructures and their capacity to provide ecosystem services using a landscape sustainability and sociometabolic approach. Specifically, it aims to identify landscape configurations promoting socio-ecological sustainability amidst rapid urbanization.MethodsA landscape-metabolic model (IDC) was applied to evaluate the interactions between land use changes and ecosystem functions in the metropolitan region of Cali.ResultsAgricultural intensification and industrialization, coupled with uncontrolled urban growth, have significantly transformed the landscape, posing threats to its sustainability. The prevailing biocultural landscapes hold a substantial potential to provide essential ecosystem services to the metropolis. The IDC offers an approach that utilizes a land cover map and agricultural production/metabolism data to calculate an indicator closely related to ecosystem services and multifunctionality.ConclusionsThe IDC model stands out for efficiently capturing landscape dynamics, providing insights into landscape configuration and social metabolism without extensive resource requirements. This research highlights the importance of adopting a landscape-metabolic and green infrastructure framework to guide territorial policies in the tropical Andes and similar regions. It stresses the need for informed land use planning to address challenges and leverage opportunities presented by biocultural landscapes for regional sustainability amidst rapid urbanization and agricultural expansion.