Resilience Performance Research Articles

Innovative Fuzzy PID Algorithm: Advancing Quadcopter Control with Adaptive Precision

The integration of fuzzy logic techniques into PID controllers shows promising advantages in quadcopter control. By incorporating fuzzy logic, the PID controller achieves enhanced adaptability and robustness, resulting in more dynamic and resilient control performance. This is achieved through the automatic adjustment of PID parameters based on real-time system feedback, enabling a control strategy that closely resembles human reasoning. Overall, the combination of fuzzy logic and PID control offers significant potential for improving quadcopter control in various environmental conditions.

Graph neural network based abnormal perception information reconstruction and robust autonomous navigation

PurposeThis paper aims to develop a robust navigation enhancement framework to handle one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents.Design/methodology/approachIn this paper, the main idea is to fully exploit the consistent features among spatio-temporal data and thus detect the anomalies and build residual channels to reconstruct the abnormal information. The authors first develop an anomaly detection algorithm, then followed by a corresponding disturbed information reconstruction network which has strong robustness to address both the nature disturbances and external attacks. Finally, the authors introduce a fully end-to-end resilient navigation performance enhancement framework to improve the driving performance of existing self-driving models under attacks and disturbances.FindingsComparison results on CARLA platform and real experiments demonstrate strong resilience of the authors’ approach which enhances the navigation performance under disturbances and attacks.Originality/valueReliable and resilient navigation performance under various nature disturbances and even external attacks is one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents. The information reconstruction approach provides a resilient navigation performance enhancement method for existing self-driving models.

Effectiveness of Mindfulness-Based Interventions in Enhancing Sports Performance

Purpose: The aim of the study was to assess the effectiveness of mindfulness-based interventions in enhancing sports performance. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study found that mindfulness-based interventions (MBIs) hold promise in enhancing sports performance across various disciplines. The study indicate that athletes who engage in mindfulness practices experience improvements in attentional control, emotional regulation, and stress management, all of which are critical for optimal athletic performance. By cultivating present-moment awareness and fostering a non-judgmental attitude toward thoughts and sensations, athletes can better focus on the task at hand, manage competitive pressure, and maintain peak performance under stressful conditions. Furthermore, MBIs have been shown to facilitate skill acquisition and execution, as well as promote recovery and injury rehabilitation. Overall, these findings highlight the potential of incorporating mindfulness training into sports training programs to enhance athletes' mental resilience and overall performance. However, further research is needed to elucidate the specific mechanisms through which mindfulness exerts its effects on sports performance and to optimize the integration of MBIs into athletic training regimens. Implications to Theory, Practice and Policy: Self-determination theory, cognitive-behavioral theory and flow theory may be used to anchor future studies on assessing effectiveness of mindfulness-based interventions in enhancing sports performance. Develop evidence-based mindfulness training programs tailored specifically for athletes across different sports disciplines and performance levels. Advocate for the integration of mindfulness training into athlete development programs at the grassroots, elite, and professional levels.

A Mechanistic Study of Enterprise Digital Intelligence Transformation, Innovation Resilience, and Firm Performance

Enterprise Digital Intelligence Transformation is based on the Digital Conversion of information and process service upgrading, further touching the enterprise’s core business, with the goal of building a new business model of Digital Intelligence Transformation at a higher level. Based on dynamic capability theory, this paper conducts an in-depth study on the mechanism of enterprise Digital Intelligence Transformation and firm performance. This paper selects manufacturing companies listed in China’s Shanghai and Shenzhen A-shares from 2013 to 2022 as the research sample, and analyzes and tests the sample data using empirical research methods in order to explore the actual impact of Digital Intelligence Transformation on firm performance, including the specific pathways of action and moderating effects. This study helps enterprises to positively face the megatrend of Digital Intelligence Transformation and upgrading and the challenges it brings, and to grasp the new opportunities in the digital era. This study finds that enterprises carry out digital empowerment transformation and development strategies, and implement information Digital Conversion, service upgrading, and Digital Intelligence Transformation to promote firm performance to different degrees. Enterprise innovation resilience has a mechanism effect between information digitalization conversion enterprise performance and process service upgrading enterprise performance. The higher the environmental uncertainty, the greater the positive contribution of information digitalization to firm performance. Digital Conversion is the base and service upgrading is the process. The current sample enterprises have limited years of data collection, and most of them have only carried out the strategic implementation of Digital Conversion or servitization, and have not reached the high-level stage of digital and intellectual transformation. Therefore, it is found that enterprise innovation resilience has not yet shown a significant role mechanism effect between digital–intelligent transformation and enterprise performance at present. And environmental uncertainty has not yet shown a significant moderating effect in the stage of Servitization Upgrading and digital–intelligent transformation. The marginal contributions of this paper are mainly reflected in the following: (1) This study introduces the dynamic capability theory to explore the role of Digital Intelligence Transformation (Digital Conversion + service upgrading) on enterprise performance. (2) This paper investigates the role of Digital Intelligence Transformation in influencing the performance of enterprises from the Digital Conversion and service upgrading phases, and enriches the relevant role and regulatory mechanisms. (3) This study provides new ideas and strategic suggestions on Digital Intelligence Transformation for enterprises with different factor intensities, at different stages of development, and in different regions.

Temporary employment and financial distress in times of crisis

PurposeThis study investigates the impact of temporary employment on various forms of financial distress for firms during the COVID-19 pandemic.Design/methodology/approachThe authors apply a logit model to evaluate the differences in the probabilities of experiencing financial distress for firms with or without temporary reemployment and for firms with different intensities of temporary workers. As an additional test, an ordinal logistic model is applied to reflect different degrees of financial distress.FindingsOur main results indicate that firms with temporary employment are more likely to experience financial distress than firms without temporary employment, regardless of the severity of financial distress. Among firms with temporary employment, our analysis suggests that a firm’s likelihood of experiencing financial distress depends on its relative share (quantile) of temporary workers.Practical implicationsOur findings provide valuable insights for evaluating the impact of temporary employment on firms’ vulnerability during the COVID-19 crisis and suggest strategies for firms to enhance resilience to similar future crises.Originality/valueOur study is the first one that explores the relationship between temporary employment and financial distress. Firms around the world have been pursuing flexible labor to improve resilience and firm performance. The pandemic may further ramify this trend, creating a future “new normal” regarding employment relationships, job segmentation and gender equality in the job market. This article adds a new dimension to the evaluation of the new normal, which may help firms evaluate the consequences of temporary employment, especially in times of crisis.

Designing resilient health services supported by digital technologies: A study of the blood transfusion process

Although resilient performance (RP) in health services can be both enhanced and hindered by the use of digital technologies (DTs), little is known on how this influence occurs through design. This study introduces a framework for designing resilient health services supported by DTs, involving four steps: (i) define the motivation for the framework application, select the target system, and form a project team; (ii) modeling of the target system; (iii) identify problems and countermeasures, emphasizing the role of DTs supportive of RP; and (iv) implement countermeasures. The framework was tested in the blood transfusion process of a large tertiary hospital. Data collection for this test included participant and non-participant observations, interviews, and documentary analysis. Results shed light on the framework's utility and ease of use, also giving rise to propositions that guide the framework application. These propositions are related to using business process management notation to bridge the perspectives of DTs designers and human factors experts; supporting dynamic prioritization of orders; standardizing interactions between management information systems; using DTs to amplify rather than replace human skills; using DTs to buy time for deploying responses to variabilities; accounting for the perspectives of diverse stakeholders; and learning from applying the framework. Requirements of DTs supportive of RP were also derived from the propositions, offering guidance to designers.

Smart, sustainable, and resilient food supply chains in disruptive events context

AbstractFood systems include dynamic and complex networks made up of all the actors, processes, and infrastructures, as well as their interactions. Because of the growing supply chain's (SC) vulnerability, fragility, and operational disturbances, managing disruptions has become a crucial problem in the food SC. Thus, companies aim to improve their resilience to deal with unexpected conditions. Thus, this study aims to analyze and frame the food SC's resilience, sustainability, and smartness considering different causal conditions (e.g., digital technology adaption, providing traceability, and enhancing collaboration). This study also analyzes the numerous and complex linkages between outcome and causal variables. Thus, this study includes data on the food industry operating in Turkey. The Fuzzy Set Qualitative Comparative Analysis has been used to analyze different companies' data. SC resilience performance conditions have been determined and analyzed. According to the result of this study, it can be said that enhanced flexibility structure and adaptability skills in the SC, increased IT capability, and integration of digital technologies into the SC process are the key components for achieving high SC resilience, sustainability, and smartness in the food SCs. This study suggests various implications for policymakers and managers in the food SCs.

Evaluating the relationship between entrepreneurial ecosystem, resilience and SME performance in post-pandemic period

PurposeThe literature on entrepreneurship implicitly suggests that developed nations' entrepreneurial ecosystems (EE) are positively related to small and medium enterprise performance. However, few theoretical and empirical studies explicitly investigate this relationship in emerging economies. Also, earlier studies have concentrated on the EE–SME performance association in a stable environment without any uncertainties. Hence, the current study analyses the relationship between EE and SME performance in an emerging economy. Entrepreneurial resilience (ER) has been introduced (mediator) to understand the EE–SME performance relationship in the post-pandemic period.Design/methodology/approachThe research sample comprises 359 Indian SMEs. The owners/managers of each SME were contacted to obtain responses. The research employs a multifaceted method Partial Least Squares-structural equation modelling that permits the investigation of several concurrent associations for data analysis.FindingsThe findings reveal that EE significantly impacts ER and SME performance. Additionally, ER partially mediates the relationship between EE and SME performance. The findings indicate that post-pandemic India's EE positively influences SME performance directly, as well as indirectly through ER.Research limitations/implicationsThe results provide implications for policymakers from economies similar to India's. It suggests that policymakers can enhance ER and, consequently, SME performance during periods of uncertainty by focusing on developing an EE with strong institutional foundations, supportive frameworks and a culture of adaptability.Originality/valueSMEs and entrepreneurial activities in India are relatively new, but they are rising rapidly. This investigation adds to our knowledge of EE and allows us to comprehend its components in developing countries. This article contributes to the knowledge of India’s SME performance from an EE and ER perspective in the post-pandemic scenario.

Towards Extensive Definition and Planning of Energy Resilience in Buildings in Cold Climate

The transition towards a sustainable future requires the reliable performance of the building’s energy system in order for the building to be energy-resilient. “Energy resilient building in cold climates” is an emerging concept that defines the ability to maintain a minimum level of indoor air temperature and energy performance of the building and minimize the occupant’s health risk during a disruptive event of the grid’s power supply loss in a cold climate. The aim is to introduce an extensive definition of the energy resilience of buildings and apply it in case studies. This article first reviews the progress and provides an overview of the energy-resilient building concept. The review shows that most of the relevant focus is on short-term energy resilience, and the serious gap is related to long-term resilience in the context of cold regions. The article presents a basic definition of energy resilience of buildings, a systematic framework, and indicators for analyzing the energy resilience of buildings. Terms such as active and passive habitability, survivability, and adaptive habitable conditions are defined. The energy resilience indicators are applied on two simulated Finnish case studies, an old building and a new building. By systematic analysis, using the defined indicators and thresholds, the energy resilience performance of the buildings is calculated and compared. Depending on the type of the building, the results show that the robustness period is 11 h and 26 h for the old building and the new building, respectively. The old building failed to provide the habitability conditions. The impact of the event is 8.9 °C, minimum performance (Pmin) is 12.54 °C, and degree of disruption (DoD) is 0.300 for the old building. The speed of collapse (SoC) is 3.75 °C/h, and the speed of recovery (SoR) is 0.64 °C/h. On the other hand, the new building performed better such that the impact of the event is 4 °C, Pmin is 17.5 °C, and DoD is 0.138. The SoC is slow 3.2 °C/h and SoR is fast 0.80 °C/h for the new building. The results provide a pathway for improvements for long-term energy resilience. In conclusion, this work supports society and policy-makers to build a sustainable and resilient society.

Designing a learning tool for translating resilience in healthcare into practice: A qualitative mixed methods study

There is currently a lack of tools that focus on strengthening resilient performance of healthcare systems through learning from positive healthcare events. Such tools are needed to operationalize and translate resilience in healthcare and, thus, advance the field of patient safety by learning from both positive and negative events and outcomes. The purpose of this study is to describe the developmental process of one such tool to enable operationalization of resilient healthcare and aid future tool development. The development process featured a complex, multi-step, design through involvement of a range of different stakeholders.A combination of publicly available platforms, cross-sectional knowledge, step-by step instructions and a learning tool that engages participants in collaborative practice to facilitate discussions across stakeholders and system levels is proposed as a means to create awareness of when and what contributes to resilient performance is fundamental to understanding and improving healthcare system resilience.

A review on maritime disruption management: Categories, impacts, and strategies

Maritime transport is vulnerable to disruptions which could threaten the resilience performance of maritime businesses. Consequently, the management of disruptions has gained significant attention from academics and the industry. The objective of this study is to review and consolidate academic research on disruption management in maritime shipping. A systematic review is performed on the search engine, Scopus. The review findings highlight (1) major categories of disruptions; (2) impacts of disruptions, which include social and economic impact and operational challenges; and (3) disruption management strategies, which cover technology, policies and regulations, service quality improvement, capacity management, collaboration with stakeholders as well as continuous training and education. The study contributes to the literature by providing a timely consolidation of the increasing focus on disruption management and maritime resilience. The results offer some implications for government authorities, policymakers, and maritime industry players to ensure the shipping industry continues to be resilient and versatile to thrive in this dynamic, fast-paced, and ever-changing environment. Recommendations for future research are also provided.

유아교사의 회복탄력성 중요도와 실행도(IPA) 분석

Objectives The purpose of this study is to investigate the perception of the importance and performance of early childhood teachers' resilience and to seek improvement measures. Methods teachers working at kindergartens and daycare centers in Seoul and Gyeonggi Province. For the col-lected data, IPA analysis was conducted to verify the difference in the importance and performance of early child-hood teachers' resilience, and to verify future improvements. Results As a result of IPA analysis by sub-factor of resilience, self-regulation ability was analyzed as a factor to be mainly improved. As a result of the analysis by detailed items, in self-regulation ability, “control of emotions,” “not getting caught up in my emotions,” “overcoming temptation or disturbance when something needs to be done,” “attempting to fully understand the cause in a problem situation,” in interpersonal skills, “finding the appro-priate phrase or word for what you want to express,” “getting love and attention from people around you,” “thinking that people who meet me like me,” “believe that they can control the problems that happen to me,” “thinking that various conditions in my life are satisfactory,” and “satisfied with my life” were the items to invest heavily in. Conclusions These results suggest that in order to strengthen the resilience of early childhood teachers, it is first necessary to develop the ability to control, check, and adjust the current mind or behavior.

Dynamic resilient leadership: Mediating effects on logistics bureau performance

The majority of new employees come from the millennial generation and are required to know things related to technology and information. On the other hand, the leadership’s ability to utilize technology, which is generally not very high, will create a gap between leaders and subordinates, affecting organizational performance. This study seeks to determine whether dynamic resilient leadership can mediate the influence of personality, communication, and work abilities on organizational performance both directly and indirectly. The study sampled logistics bureau office employees in twelve cities of Indonesia. A cross-sectional survey technique with a total sampling method was used to obtain a sample of 527 respondents. Path analysis was employed using the IBM AMOS program. The findings reveal that personality, communication, and work ability directly have a positive and significant effect on dynamic resilient leadership and organizational performance. Personality, communication, and work ability indirectly have a positive and significant effect on organizational performance through dynamic resilient leadership. Thus, it is concluded that dynamic resilient leadership can mediate the influence of personality, communication, and work ability on organizational performance. This study provides contributions and suggestions for policymakers to improve organizational performance. AcknowledgmentThe authors are grateful to the Banyuwangi State Polytechnic for funding the PMDD research in 2023.

A Regeneration Model for Mitigation Against Attacks on HTTP Servers for Mobile Wireless Networks

The widespread expansion of the internet has fueled a global surge in the utilization of various online transactions, with a significant portion of such services operating on mobile web platforms. Simultaneously, the deployment of innovative Mobile Ad Hoc Network (MANET) technologies and mobile applications has grown as solutions for diverse tasks. Unfortunately, this progress has attracted the attention of hackers, who continually devise new strategies to exploit the vulnerabilities inherent in mobile networks. This study aims to address the escalating challenges posed by cyber threats in the era of widespread internet expansion, particularly focusing on securing mobile web platforms against sophisticated attacks such as Structured Query Language Injection (SQLi) for web-based database solutions and Denial of Service (DoS/DDoS) for various applications. In response to the identified vulnerabilities, this paper proposes an HTTP regeneration (HReg) model that not only detects various cyber-attacks but also ensures the uninterrupted provision of critical services during such incidents. The model introduces an innovative regeneration algorithm capable of scanning both the connection channel and web application to detect attacks, creating survivable connections within the underlying TCP engine to replace compromised ones during an ongoing attack. In simulated environments using OMNeT++, where the server is subjected to attacks, the experimental results demonstrate the efficacy of the model. The response and performance metrics, including throughput (73%), delivery ratio (68.8%), delay (3s), and network load, showcase the model's ability to detect and neutralize attacks. A comparison with state-of-the-art approaches highlights the superior performance of the regeneration model, attributed to its additional survivability layer. While the regeneration model proves robust in simulated environments, its real-world application may encounter limitations. Future research should explore these limitations to enhance the practical applicability of the proposed model. The proposed HReg model's resilient performance under attack conditions ensures the survivability of web-based applications. This innovative approach offers practical implications for securing mobile web platforms, providing continuous delivery of critical services even in the face of persistent and evolving cyber threats. This research addresses a significant gap in existing efforts by not only focusing on attack detection but also emphasizing the development of a survivable TCP connection for HTTP servers during attacks. The introduced regeneration model stands out for its unique ability to maintain service continuity, showcasing originality in the approach to cybersecurity in the context of web-based applications.

A novel cost-sensitive three-way intuitionistic fuzzy large margin classifier

Three-way decision (3WD) has been widely applied in diverse fields in tackling uncertainty, particularly in classification domain. As a discriminative learning algorithm, Large Margin Distribution Machine (LDM) aims to maximize the inter-class margin by leveraging the marginal distribution of samples, which captures the underlying structure and achieves superior classification performance. However, existing LDMs still suffer from some inherent flaws, including: i) the neglect of fuzzy decision items, leading to the inadequate handling of uncertainty; ii) the utilization of a cost-insensitive mechanism, resulting in high misclassification costs; and iii) the disregard of sample credibility, contributing to the noise susceptibility. To address these limitations, we introduce the intuitionistic fuzzy (IF) and cost-sensitive 3WD (CS3WD), presenting an innovative model known as the CS3W-IFLMC model. The IF theory is employed to quantify sample confidence levels, augmenting noise suppression in our proposed model. Moreover, the integration of the CS3WD method effectively reduces the overall decision cost and further improves the handling of uncertainty in datasets. Consequently, the CS3W-IFLMC model demonstrates superior noise resilience and generalization performance. Our comparative experiments validate the efficacy of the proposed CS3W-IFLMC model in achieving robustness to noise while upholding a competitive classification performance.

An Integrated Infrastructure Resilience Approach, from the Geotechnical Asset to the Transport Network

The main objective of this work is to present a comprehensive and integrated methodology to enhance the resilience of transportation critical infrastructure (TCI), focusing on the interplay between geotechnical assets and the transport network. Societies are greatly dependent on transport infrastructure systems, and as the mobility of passengers and the transport of freight is continuously growing, a disruption due to natural or man-made hazards creates significant impacts and dysfunctionalities on their operation and necessitates response measures to minimize vulnerability and ensure continuous functionality and robustness through resilience. Therefore, resilience quantification allows the design of ad hoc operation action plans before, during, and after a disruption, considering the dynamics of societal, ecological, and technological (SET) environments. The current work focuses on resilience quantification methodologies for TCIs and on the influence of single geotechnical asset (i.e., slope failure) resilience capacity on the overall system (i.e., national road network) resilience. Two case studies of unexpected transport network disruptions that took place in Greece are presented, and resilience metrics and performance indicators are applied to quantify the influence of the recovery stage.

Data-driven approach for port resilience evaluation

As pivotal nodes in international trade, ports have faced unprecedented challenges, particularly in the context of the COVID-19 pandemic. From the perspective of port congestion, this study investigates port resilience based on a quantitative approach. Port resilience is specifically evaluated using five novel metrics derived from resilience capacities and port congestion indexes, employing data-driven approaches, which are then applied to analyze nine global ports across six regions. The findings of the study indicate that: 1) The ports of Southampton and Shanghai display better resilience levels, whereas New York/New Jersey and Los Angeles/Long Beach show poorer resilience performance during the research period. 2) Ports in West Coast North America demonstrate relatively low resilience levels, while those in South East Asia showcase superior resilience. 3) The changing dynamics and evolution of port resilience rankings across different years underscore the multifaceted nature of port resilience and its capacity to adapt to external factors such as global events. Our study emphasizes the importance of quantifying port resilience, with a specific focus on port congestion. It provides valuable insights that have significant implications for port management and disaster preparedness within the maritime industry.

Accelerated system-reliability-based disaster resilience analysis for structural systems

Resilience has emerged as a crucial concept for evaluating structural performance under disasters because of its ability to extend beyond traditional risk assessments, accounting for a system’s ability to minimize disruptions and maintain functionality during recovery. To facilitate the holistic understanding of resilience performance in structural systems, a system-reliability-based disaster resilience analysis framework was developed. The framework describes resilience using three criteria: reliability (β), redundancy (π), and recoverability (γ), and the system’s internal resilience is evaluated by inspecting the characteristics of reliability and redundancy for different possible progressive failure modes. However, the practical application of this framework has been limited to complex structures with numerous sub-components, as it becomes intractable to evaluate the performances for all possible initial disruption scenarios. To bridge the gap between the theory and practical use, especially for evaluating reliability and redundancy, this study centers on the idea that the computational burden can be substantially alleviated by focusing on initial disruption scenarios that are practically significant. To achieve this research goal, we propose three methods to efficiently eliminate insignificant scenarios: the sequential search method, the n-ball sampling method, and the surrogate model-based adaptive sampling algorithm. Three numerical examples, including buildings and a bridge, are introduced to prove the applicability and efficiency of the proposed approaches. The findings of this study are expected to offer practical solutions to the challenges of assessing resilience performance in complex structural systems.

Annual report delivers ‘resilient performance' in challenging market

Annual report delivers ‘resilient performance' in challenging market

Resilience framework for urban water supply systems planning

ABSTRACT As the concept of resilience is becoming a criterion in planning, water utilities are seeking support and practical guidance to enhance their conventional risk-based planning processes. This paper presents a resilience framework for urban water supply systems planning during the transition towards integrated water resources management. Based on a synthesis of literature across engineering, ecological and social sciences, resilient system performance is defined using crossings of fail-safe and safe-fail thresholds as key indicators. System performance curves conceptually illustrate the capabilities withstanding, absorptive, restorative, adaptive, transformative, and anticipative (WARATA), during sudden and gradual disruptions. Sustainability goals are explicitly considered in the resilience framework, and the role of transformative and anticipative capabilities to facilitate transitions is discussed. Specifically, the desirability of physical design and predicted community consequences from performance impact and collapse can be used in resilience management to prioritize between fail-safe and safe-fail system capacities. Finally, key considerations for operationalizing the framework are summarized, including how issues related to social justice can be addressed when simulating performance and deriving metrics. While this paper focuses on urban water supply, the framework could be applied to other service-providing infrastructure where resilience-based planning supported by quantitative evidence is required to inform investments.