Journal articles on the topic 'Micro fusion framework'

Micro-electro-mechanical system (MEMS) gyro is one of the extensively used inertia sensors in the field of optical target tracking (OTT). However, velocity closed-loop bandwidth of the OTT system is limited due to the resonance and measurement range issues of MEMS gyro. In this paper, the generalized sensor fusion framework, named the closed-loop fusion (CLF), is analyzed, and the optimal design principle of filter is proposed in detail in order to improve measurement of the bandwidth of MEMS gyro by integrating information of MEMS accelerometers. The fusion error optimization problem, which is the core issue of fusion design, can be solved better through the feedback compensation law of CLF framework and fusion filter optimal design. Differently from conventional methods, the fusion filter of CLF can be simply and accurately designed, and the determination of superposition of fusion information can also be effectively avoided. To show the validity of the proposed method, both sensor fusion simulations and closed-loop experiments of optical target tracking system have yielded excellent results.

Abstract Designing a data-responsive system requires accurate input to ensure efficient results. The growth of technology in sensing methods and the needs of various kinds of data greatly impact data fusion (DF)-related study. A coordinative DF framework entails the participation of many subsystems or modules to produce coordinative features. These features are utilized to facilitate and improve solving certain domain problems. Consequently, this paper proposes a general Multiple Coordinative Data Fusion Modules (MCDFM) framework for real-time and heterogeneous data sources. We develop the MCDFM framework to adapt various DF application domains requiring macro and micro perspectives of the observed problems. This framework consists of preprocessing, filtering, and decision as key DF processing phases. These three phases integrate specific purpose algorithms or methods such as data cleaning and windowing methods for preprocessing, extended Kalman filter (EKF) for filtering, fuzzy logic for local decision, and software agents for coordinative decision. These methods perform tasks that assist in achieving local and coordinative decisions for each node in the network of the framework application domain. We illustrate and discuss the proposed framework in detail by taking a stretch of road intersections controlled by a traffic light controller (TLC) as a case study. The case study provides a clearer view of the way the proposed framework solves traffic congestion as a domain problem. We identify the traffic features that include the average vehicle count, average vehicle speed (km/h), average density (%), interval (s), and timestamp. The framework uses these features to identify three congestion periods, which are the nonpeak period with a congestion degree of 0.178 and a variance of 0.061, a medium peak period with a congestion degree of 0.588 and a variance of 0.0593, and a peak period with a congestion degree of 0.796 and a variance of 0.0296. The results of the TLC case study show that the framework provides various capabilities and flexibility features of both micro and macro views of the scenarios being observed and clearly presents viable solutions.

This paper describes a new modeling framework for microscopic to reservoir-scale simulations of hydraulic fracturing and production. The approach builds upon a fusion of two existing high-performance simulators for reservoir-scale behavior: the GEOS code for hydromechanical evolution during stimulation and the TOUGH+ code for multi-phase flow during production. The reservoir-scale simulations are informed by experimental and modeling studies at the laboratory scale to incorporate important micro-scale mechanical processes and chemical reactions occurring within the fractures, the shale matrix, and at the fracture-fluid interfaces. These processes include, among others, changes in stimulated fracture permeability as a result of proppant behavior rearrangement or embedment, or mineral scale precipitation within pores and microfractures, at µm to cm scales. In our new modeling framework, such micro-scale testing and modeling provides upscaled hydromechanical parameters for the reservoir scale models. We are currently testing the new modeling framework using field data and core samples from the Hydraulic Fracturing Field Test (HFTS), a recent field-based joint research experiment with intense monitoring of hydraulic fracturing and shale production in the Wolfcamp Formation in the Permian Basin (USA). Below, we present our approach coupling the reservoir simulators GEOS and TOUGH+ informed by upscaled parameters from micro-scale experiments and modeling. We provide a brief overview of the HFTS and the available field data, and then discuss the ongoing application of our new workflow to the HFTS data set.

The development of China’s sharing economy has slowed down significantly after experiencing the savage growth since the beginning of 2018 and has entered the turning point of structural adjustment. Factors including homogeneous and single profit model, excessive reliance on capital, and the immaturity of win-win industrial ecosystem are major bottlenecks. Therefore, how to overcome the obstacles is a key issue to be solved urgently. In view of the sharing economy’s characteristics of industry integration and cross-boundary symbiosis, the concept of sharing economy industrial ecosystem was put forward. Furthermore, social network analysis (SNA) was used to solve the problem of weak synergy in the development of China’s sharing economy and strive to break through the development bottleneck in order to realize the optimization of China’s sharing industry ecosystem and the sustainable development of industry. Specially, we proposed a fusion framework of industrial ecosystem and SNA including macro, meso, and micro dimensions. Macro analysis is based on the fusion of ecological environment in ecosystem theory and density analysis in SNA. Meso analysis is based on the fusion of ecological communities in ecosystem theory and subgroup analysis in SNA. Micro analysis is based on the fusion of an ecological niche in ecosystem theory and centrality analysis in SNA. It was found that the ecosystem of sharing mobility industry has been basically established, and the ecological diversity is good, including sharing mobility, third-party platform, automobile manufacturing, insurance and venture capital enterprises and universities. In addition, some sharing enterprises, typically represented by Didi, are upgrading their strategies to ecological development through cross-border integration. Mobile payment plays a vital role in developing China’s sharing mobility industry.

Purpose The purpose of this paper is to investigate the antecedents, internal/external drivers and circumstances that diminish the importance of reputation and permit it to be circumvented in the context of a fusion (Monsanto-Bayer) and propose a comprehensive stakeholder perception-molding (“sense-giving”) model to counter reputation-damaging factors. Design/methodology/approach The present study is a longitudinal case study of merging entities using an intra-organizational evolutionary perspective combined with external analysis. Findings Reputational hurdles can be successfully circumvented by a multifaceted strategy leveraging timely and tailored combinations of cognitive, conative and linguistic perception-molding strategies for effective management of diverse stakeholder perception processes spanning across identity orientation, legitimacy, posture, consistency, commitment, justification and transparency. Research limitations/implications The research is susceptible to the general limitations of case studies such as omission bias in terms of focusing on only two purposefully chosen market-leader firms involved in a merger, though every effort was made to track competitor movements, broad trends in markets and the micro- and macro-environments. Practical implications The proposed heptagonal reputation circumvention perception-molding framework (Figure 1) summarizes various actionable strategies to help managers develop a global vision and portfolio of strategies to proactively or reactively manage attacks on reputation. Originality/value An in-depth and multi-decade study of antecedents and internal/external drivers of the successful mega-fusion of two companies with a long history of reputational shocks was leveraged to provide unique insights into the interplay of various strategies targeting diverse stakeholder perceptions. These insights were then generalized to create a comprehensive perception-molding strategic framework to help firm managers circumvent reputational tarnishment hurdles.

AbstractResearchers now have the benefit of an unprecedented suite of space- and ground-based sensors that provide multidimensional and multiparameter precipitation information. Motivated by NASA’s Global Precipitation Measurement (GPM) mission and ground validation objectives, the System for Integrating Multiplatform Data to Build the Atmospheric Column (SIMBA) has been developed as a unique multisensor precipitation data fusion tool to unify field observations recorded in a variety of formats and coordinate systems into a common reference frame. Through platform-specific modules, SIMBA processes data from native coordinates and resolutions only to the extent required to set them into a user-defined three-dimensional grid. At present, the system supports several ground-based scanning research radars, NWS NEXRAD radars, profiling Micro Rain Radars (MRRs), multiple disdrometers and rain gauges, soundings, the GPM Microwave Imager and Dual-Frequency Precipitation Radar on board the Core Observatory satellite, and Multi-Radar Multi-Sensor system quantitative precipitation estimates. SIMBA generates a new atmospheric column data product that contains a concomitant set of all available data from the supported platforms within the user-specified grid defining the column area in the versatile netCDF format. Key parameters for each data source are preserved as attributes. SIMBA provides a streamlined framework for initial research tasks, facilitating more efficient precipitation science. We demonstrate the utility of SIMBA for investigations, such as assessing spatial precipitation variability at subpixel scales and appraising satellite sensor algorithm representation of vertical precipitation structure for GPM Core Observatory overpass cases collected in the NASA Wallops Precipitation Science Research Facility and the GPM Olympic Mountain Experiment (OLYMPEX) ground validation field campaign in Washington State.

The application of the Micro Electro-mechanical System (MEMS) inertial measurement unit has become a new research hotspot in the field of inertial navigation. In order to solve the problems of the poor accuracy and stability of MEMS sensors, the redundant design is an effective method under the restriction of current technology. The redundant data processing is the most important part in the MEMS redundant inertial navigation system, which includes the processing of abnormal data and the fusion estimation of redundant data. A developed quality index of the MEMS gyro measurement data is designed by the parity vector and the covariance matrix of the distributed Kalman filtering. The weight coefficients of gyros are calculated according to this index. The fault-tolerant fusion estimation of the redundant data is realized through the framework of the distributed Kalman filtering. Simulation experiments are conducted to test the performance of the new method with different types of anomalies.

Mechatronic systems are becoming an intrinsic part of our daily life, and the adopted control approach in turn plays an essential role in the emulation of the intelligent behavior. In this paper, a framework for the development of intelligent controllers is proposed. We highlight that robustness, prediction, adaptation, and learning, which may be considered the most fundamental traits of all intelligent biological systems, should be taken into account within the project of the control scheme. Hence, the proposed framework is based on the fusion of a nonlinear control scheme with computational intelligence and also allows mechatronic systems to be able to make reasonable predictions about its dynamic behavior, adapt itself to changes in the plant, learn by interacting with the environment, and be robust to both structured and unstructured uncertainties. In order to illustrate the implementation of the control law within the proposed framework, a new intelligent depth controller is designed for a microdiving agent. On this basis, sliding mode control is combined with an adaptive neural network to provide the basic intelligent features. Online learning by minimizing a composite error signal, instead of supervised off-line training, is adopted to update the weight vector of the neural network. The boundedness and convergence properties of all closed-loop signals are proved using a Lyapunov-like stability analysis. Numerical simulations and experimental results obtained with the microdiving agent demonstrate the efficacy of the proposed approach and its suitableness for both stabilization and trajectory tracking problems.

Taking Shanghai as an example, this paper uses remote sensing (RS) and geographical information systems (GIS) technology to conduct multisource data fusion and a spatial pattern analysis of urban carrying capacity at the micro scale. The main conclusions are as follows: (1) based on the “production, living and ecology” land functions framework and land use data, Shanghai is divided into seven types of urban spaces to reveal their heterogeneity and compatibility in terms of land use functions. (2) We propose an urban carrying capacity coupling model (UCCCM) based on multisource data. The model incorporates threshold and saturation effects, which improve its power to explain urban carrying capacity. (3) Using the exploratory spatial data analysis (ESDA) technique, this paper studies the spatial pattern of carrying capacity in different urban spaces of Shanghai. (4) We analyse the causes of the cold spots in each urban space and propose strategies to improve the urban carrying capacity according to local conditions.

Fusion of the Global Positioning System (GPS) and Inertial Navigation System (INS) for navigation of ground vehicles is an extensively researched topic for military and civilian applications. Micro-electro-mechanical-systems-based inertial measurement units (MEMS-IMU) are being widely used in numerous commercial applications due to their low cost; however, they are characterized by relatively poor accuracy when compared with more expensive counterparts. With a sudden boom in research and development of autonomous navigation technology for consumer vehicles, the need to enhance estimation accuracy and reliability has become critical, while aiming to deliver a cost-effective solution. Optimal fusion of commercially available, low-cost MEMS-IMU and the GPS may provide one such solution. Different variants of the Kalman filter have been proposed and implemented for integration of the GPS and the INS. This paper proposes a framework for the fusion of adaptive Kalman filters, based on Sage-Husa and strong tracking filtering algorithms, implemented on MEMS-IMU and the GPS for the case of a ground vehicle. The error models of the inertial sensors have also been implemented to achieve reliable and accurate estimations. Simulations have been carried out on actual navigation data from a test vehicle. Measurements were obtained using commercially available GPS receiver and MEMS-IMU. The solution was shown to enhance navigation accuracy when compared to conventional Kalman filter.

The rapid advancement in information and communication technology has revolutionized military departments and their operations. This advancement also gave birth to the idea of the Internet of Battlefield Things (IoBT). The IoBT refers to the fusion of the Internet of Things (IoT) with military operations on the battlefield. Various IoBT-based frameworks have been developed for the military. Nonetheless, many of these frameworks fail to maintain a high Quality of Service (QoS) due to the demanding and critical nature of IoBT. This study makes the use of mist computing while leveraging machine learning. Mist computing places computational capabilities on the edge itself (mist nodes), e.g., on end devices, wearables, sensors, and micro-controllers. This way, mist computing not only decreases latency but also saves power consumption and bandwidth as well by eliminating the need to communicate all data acquired, produced, or sensed. A mist-based version of the IoTNetWar framework is also proposed in this study. The mist-based IoTNetWar framework is a four-layer structure that aims at decreasing latency while maintaining QoS. Additionally, to further minimize delays, mist nodes utilize machine learning. Specifically, they use the delay-based K nearest neighbour algorithm for device-to-device communication purposes. The primary research objective of this work is to develop a system that is not only energy, time, and bandwidth-efficient, but it also helps military organizations with time-critical and resources-critical scenarios to monitor troops. By doing so, the system improves the overall decision-making process in a military campaign or battle. The proposed work is evaluated with the help of simulations in the EdgeCloudSim. The obtained results indicate that the proposed framework can achieve decreased network latency of 0.01 s and failure rate of 0.25% on average while maintaining high QoS in comparison to existing solutions.

The modern-day vehicle is evolved in a cyber-physical system with internal networks (controller area network (CAN), Ethernet, etc.) connecting hundreds of micro-controllers. From the traditional core vehicle functions, such as vehicle controls, infotainment, and power-train management, to the latest developments, such as advanced driver assistance systems (ADAS) and automated driving features, each one of them uses CAN as their communication network backbone. Automated driving and ADAS features rely on data transferred over the CAN network from multiple sensors mounted on the vehicle. Verifying the integrity of the sensor data is essential for the safety and security of occupants and the proper functionality of these applications. Though the CAN interface ensures reliable data transfer, it lacks basic security features, including message authentication, which makes it vulnerable to a wide array of attacks, including spoofing, replay, DoS, etc. Using traditional cryptography-based methods to verify the integrity of data transmitted over CAN interfaces is expected to increase the computational complexity, latency, and overall cost of the system. In this paper, we propose a light-weight alternative to verify the sensor data’s integrity for vehicle applications that use CAN networks for data transfers. To this end, a framework for 2-dimensional quantization index modulation (2D QIM)-based data hiding is proposed to achieve this goal. Using a typical radar sensor data transmission scenario in an autonomous vehicle application, we analyzed the performance of the proposed framework regarding detecting and localizing the sensor data tampering. The effects of embedding-induced distortion on the applications using the radar data were studied through a sensor fusion algorithm. It was observed that the proposed framework offers the much-needed data integrity verification without compromising on the quality of sensor fusion data and is implemented with low overall design complexity. This proposed framework can also be used on any physical network interface other than CAN, and it offers traceability to in-vehicle data beyond the scope of the in-vehicle applications.

AIM: This paper aims to establish a method for a micro-design intervention as a social acupuncture used to stimulate sustainable development consciousness among young students during fieldwork in mountain and rural areas of Bulgaria.MATERIAL AND METHODS: A theoretical framework of a sustainable approach for a micro-design intervention is established on the base of the phenomenological approach of Yuhani Pallasmaa, the concept of eco-museum type of endogeneous rural development by Toshio Mitsuhashi and the design philosophy of “Rural Studio” in USA. At the Department of History and Theory of Architecture at the Faculty of Architecture there are annual summer fieldworks for students of architecture usually organized at various mountain or rural villages within the country. Students are asked to conduct research on vernacular architecture, community relationships and local cultural milieau as part of their education curricula during the second year of their studies and in the 5th year as a pre-diploma architectural practice. By means of micro-design interventions at focal public points or buildings students tried to find a way to activate people environmental consciousness and attitudes to their immediate environment. The main aim of the fieldworks was to connect research with a Design & Make approach in order to catalyze citizen participation in a fusion with an environmental education.RESULTS: These practical experiences seek to transform the research theory of sustainable environmental design into a pragmatic strategy to strengthen environmental consciousness for young generations of students in architecture in Bulgaria. Working and living together in rural or mountain traditional environments, trying to understand and assist local people by creating micro-design interventions is one of the best ways to heighten environmental design consciousness by an immersion in the milieau of local culture and community relationships.CONCLUSION: A socially sustainable micro-design intervention as a strategy is only possible by combining the tools of an anthropologist and a designer or in other words by finding the intersection and cross-fertilization points between the cultural values of insiders and observers.

Advanced information technologies have transformed into high-level services for more efficient use of energy resources through the fusion with the energy infrastructure. As a part of these technologies, the energy cloud is a technology that maximizes the efficiency of energy resources through the organic connection between the entities that produce and consume the energy. However, the disruption or destruction of energy cloud systems through cyberattacks can lead to incidents such as massive blackouts, which can lead to national disasters. Furthermore, since the technique and severity of modern cyberattacks continue to improve, the energy cloud environment must be designed to resist cyberattacks. However, since the energy cloud environment has different characteristics from general infrastructures such as the smart grid and the Advanced Metering Infrastructure (AMI), it requires security technology specialized to its environment. This paper proposes a cyber threat intelligence framework to improve the energy cloud environment’s security. Cyber Threat Intelligence (CTI) is a technology to actively respond to advanced cyber threats by collecting and analyzing various threat indicators and generating contextual knowledge about the cyber threats. The framework proposed in this paper analyzes threat indicators that can be collected in the advanced metering infrastructure and proposes a cyber threat intelligence generation technique targeting the energy cloud. This paper also proposes a method that can quickly apply a security model to a large-scale energy cloud infrastructure through a mechanism for sharing and spreading cyber threat intelligence between the AMI layer and the cloud layer. Our framework provides a way to effectively apply the proposed technologies through the CTI architecture, including the local AMI layer, the station layer, and the cloud layer. Furthermore, we show that the proposed framework can effectively respond to cyber threats by showing a 0.822 macro-F1 score and a 0.843 micro-F1 score for cyberattack detection in an environment that simulates a model of an attacker and an energy cloud environment.

The present study attempts to investigate how contextual factors with ideology as the major component affect the process of translation and influence translators to adopt accommodations in translated text because all translations are ideological in one way or the other because preference of definite terms is motivated by the aims and interests of target society. For this purpose the researcher selected short story ‘Overcoat’ written by renowned Pakistani writer Ghulam Abbas and its English version included in syllabus of intermediate class. The author is a professional Urdu writer whose text is translated by PTB Lahore for academic purpose. The translated text was analyzed and compared and contrasted with the original text to trace the accommodation patterns which are adjustments to adjust target text in new context. The source context is informal, free and wide with a variety of readerships whereas target context is formal, restricted and with a specific type of readerships. Analytical framework is a fusion of Van Dijk (2005) approach of text analysis and Shi’s (2004) model of translation as accommodation. The analytical framework demonstrates that the analysis of the texts starts individually and then after analyzing macro and micro structures of the texts comparatively, draws the conclusion. The findings show that there are significant ideological and cultural accommodations in the target text.

<p><strong>AIM:</strong> This paper aims to establish a method for a micro-design intervention as a social acupuncture used to stimulate sustainable development consciousness among young students during fieldwork in mountain and rural areas of Bulgaria.</p><p><strong>MATERIAL AND METHODS:</strong> A theoretical framework of a sustainable approach for a micro-design intervention is established on the base of the phenomenological approach of Yuhani Pallasmaa, the concept of eco-museum type of endogeneous rural development by Toshio Mitsuhashi and the design philosophy of “Rural Studio” in USA. At the Department of History and Theory of Architecture at the Faculty of Architecture there are annual summer fieldworks for students of architecture usually organized at various mountain or rural villages within the country. Students are asked to conduct research on vernacular architecture, community relationships and local cultural <em>milieau</em> as part of their education curricula during the second year of their studies and in the 5^th year as a pre-diploma architectural practice. By means of micro-design interventions at focal public points or buildings students tried to find a way to activate people environmental consciousness and attitudes to their immediate environment. The main aim of the fieldworks was to connect research with a <em>Design &amp; Make</em> approach in order to catalyze citizen participation in a fusion with an environmental education.</p><p><strong>RESULTS:</strong> These practical experiences seek to transform the research theory of sustainable environmental design into a pragmatic strategy to strengthen environmental consciousness for young generations of students in architecture in Bulgaria. Working and living together in rural or mountain traditional environments, trying to understand and assist local people by creating micro-design interventions is one of the best ways to heighten environmental design consciousness by an immersion in the <em>milieau</em> of local culture and community relationships.</p><p><strong>CONCLUSION:</strong> A socially sustainable micro-design intervention as a strategy is only possible by combining the tools of an anthropologist and a designer or in other words by finding the intersection and cross-fertilization points between the cultural values of insiders and observers.</p>

Abstract Cognitive Enrichment Through Emotion Regulation (CENTER) is a theoretical framework of development that emphasizes the role of individuals finding their proverbial “centers” in shaping their cognitive aging trajectories. Within the CENTER framework, dynamic interactions between emotion regulatory processes that occur in real time (i.e., micro-level time), and global psychological well-being that develops over several years (i.e., macro-level time), aid in the optimization of cognitive aging. Indeed, by successfully regulating emotional reactions to stress in real time, which is supported by global psychological well-being, individuals will minimize their accumulation of allostatic load across the lifespan. Such minimization of allostatic load is key to optimizing cognitive aging through emotion regulation under the CENTER framework. CENTER will be motivated by fusing research on cognitive aging, emotion regulation, stress-and-coping, allostatic load, and psychological well-being.

Purpose The call for more women to start up and grow businesses as a vehicle for economic vibrancy is a prevailing discourse in the UK. There have been calls for greater co-ordination between research, policy and practice to create collaborative spaces whose focus is to influence and shape structures and processes beyond the individual or community level to a macro level of enterprise policy. However, calls have not specifically focussed on the issues of gender or other categories of social difference. This study aims to understand how such co-ordinations can be established to enable progress within the women’s entrepreneurship space through the development of collaborative spaces fusing research, policy and practice and how they should be structured to ensure inclusion through the process as well as enabling greater inclusion as part of the collaborative space outcome. Design/methodology/approach Taking a critical feminist perspective, the study draws from extant literature on women and minority networks research from the women in leadership, diversity and inclusion fields as a lens through which to frame the analysis of women’s enterprise policy in the UK, research and practice. Findings The study highlights the importance of collective feminist action drawing upon post-feminist sensibilities and an Engaged–Activist Scholarship approach. Such collective feminist action appreciates the importance of the micro as an enabler to progressive action at the macro level to enact structural and system change within the entrepreneurial ecosystem. A framework for inclusive and collaborative entrepreneuring space development is offered. Practical implications This paper offers policymakers, researchers and practitioners a framework as a practical way forward to ensure efforts are progressive and enable structural and systemic change. Originality/value The paper offers a framework for developing inclusive and collaborative entrepreneuring spaces to ensure progression by lifting the focus to a macro level of change to enable inclusion as part of the process and outcome of such collaborative spaces.

Background. The peculiarities of the worldview and philosophy of modern contradictory era put forward before the art new requirements and benchmarks, which the Postmodern aesthetics embodies. The phenomenon of «Postmodernism» covers different levels of contemporary life. In philosophy, this concept was first introduced by J.-F. Lyotard in his report «The status of postmodernism». The French philosopher revealed the essence of Postmodernism consisting in «awareness of diversity and pluralism of forms of rationality, activity of life, as well as the recognition of this diversity as a natural positive state» [2], and defined Postmodernism as «the general direction of modern European culture, formed in 1970–80-es» [2]. Now there is no single definition of «postmodern», probably, due to the incompleteness, continuity of formation of this phenomenon. Some philosophers, in particular, J. Habermas, D. Bell and Z. Bauman, consider postmodernism as the result of politics and ideology of neo-conservatism, which is characterized by aesthetic eclecticism [3]. Italian philosopher and writer U. Eco understands postmodernism as a process of changing one cultural era to another, perceiving it as «... the answer to modernism: since the past cannot be destroyed, because its destruction leads to dumbness, it needs to be rethought, ironically, without naivety» [5: 77]. This approach most accurately reveals the essence of postmodern art. In the field of aesthetics, the work of F. Jameson, «Postmodernism or The cultural logic of late capitalism», where postmodernism is represented as a «cultural dominant» is quite indicative. The philosopher defines such typical phenomenon of postmodern culture as a simulacrum, weakening of affects, the consequence of which is «the replacement of alienation of the subject by its fragmentation» [1: 105], the disappearance of the individual subject and the emergence on this basis of the practice of pastiche [1: 108], the loss of historicity. In musicology, the question of the essence of postmodernism has not yet received a sufficient scientific basis. From the latest works of Ukrainian researchers, in our opinion, it is disclosed most complete in the D. Ruzhinsky’s article “Specificity of the manifestation of postmodernism in musical creativity” [4]. The object of presented research is the specificity of postmodernism manifestations in an art; the subject of research are the postmodern landmarks in the individual style of outstanding Canadian pianist and composer M.-A Hamelin. The purpose of the article is to reveal the interrelation of the composer’ and performing style by M.-A. Hamelin with the aesthetic paradigms of Postmodernism. The methodological basis of the research consists of the concepts of postmodern philosophy and aesthetics presented in the works of J. Habermas, D. Bell, Z. Bauman. U. Eco, F. Jameson. For more full understanding of specificity of the postmodern traits implementation in M.-A. Hamelin’s activity, the “creative portrait” genre as well as analyses of some fragments of his music was used. Presenting the main material. The art of postmodernism reflects a fundamentally new attitude to the process of creativity, which includes of such typical features as 1) quoting or using famous plots, which are the realities of the culture of previous eras; 2) intertextuality; 3) the prevalence of the audience interpretation over the composer’s idea, when the author’s position is not decisive (according to M. Foucault, “the death of the author”); 4) syncretism; 5) the irony and the parody-game designing of works. The creativity of Marc-Andr&#233; Hamelin (b.1961) – the world-renowned Canadian virtuoso pianist and composer – is one of the brightest personifications of these principles, as well as their individual understanding. In 1985, he won the First prize at the competition at Carnegie hall, with which he began his ascent to the musical Olympus as a performer. To date, M.-A. Hamelin, an outstanding pianist and soloist, performs with many leading world orchestras, and his discography total more than 60 albums, including both his own works and the works of many composers of different genres and eras. In addition to intensive performance and interpretation activities, the Canadian artist is also engaged in composition, and his artistic search is concentrated mainly within the framework of piano music, which is quite natural. Among the works for piano solo the transcriptions can be identified, such as the “Etude-fantasy ‘Flight of the bumblebee’” by Rimsky-Korsakov (1987), “Waltz-minute, in seconds” (transcription of Chopin’s waltz). Another group of works &#8210; miniatures are, for example, the “Little Nocturne” (2007), “Preamble to the imaginary piano Symphony” (1989), “My impressions about chocolate” (2014); the cycles of miniatures – “Con intimissimo sentimento” (1986–2000); the larger-scale pieces – “Barcarolle” (2013), “Chaconne” (2013). The composer wrote the three cycles of variations and the cadenzas for piano concertos by Mozart (K453 and 491), for the Fourth piano Concerto by Beethoven, the Third and Fourth Concertos by Haydn and The second Hungarian Rhapsody by Liszt. In addition to the solo piano music, the composer turned to the chamber genre (“Fanfare” for three trumpets, “Passacaglia”» for piano quintet, «Four perspectives» for cello and piano). His style is characterized by the frequent using of thematic material from the works by other composers of different eras. From the very beginning, Hamelin rethinks this material, not introducing it in its original form, but transforming it. For example, in the “Variations on The theme of Paganini” the theme of the Twenty-fourth Caprice is already “modernized”: maintaining the harmonic basis of it, the author adds the non-chords sounds and the remark to tempo, which notes that the theme should be played “with a groove”, as it is typical for salsa, rock and fusion style. Interpretations of the quoted material are not in the original, but in its creative processing can see although in the Seventh variation with the theme of the Third variation of Sonata No. 30 by Beethoven. Another typical feature of postmodernism of the Canadian artist’s work is manifested in a certain game with the listener, because to catch all the allusions, to understand the quotes and styles of different eras, he must be intellectually well prepared. Some of the noted features of the composer’s creation find their direct projection in the performing pianistic style of M.-A. Hamelin. For example, virtuosity, which is present in his works in both explicit and veiled form, fully manifests itself in the interpretation of the works of other composers. Another characteristic feature of the performing style of M.-A. Hamelin is his aspiring to end-to-end development and cyclicity. In his discography, there are many different cycles, sometimes quite voluminous, performed by him as a whole. In practice of composition this is manifested at the level of the musical form (cycles, parts of which often follow directly one after another, and sometimes even the final harmony of one of the parts becomes the beginning of the next part). Conclusion. The results of the research confirm the idea of the relationship of Hamelin’s individual creative style with the basic ideas of postmodernism aesthetics. Quite typical for the manner of writing of the Canadian artist is the attraction to the throughness of development, to the creation of micro-cycles (as well as to the performing of cyclic works of other composers); the combination of ironic rethinking of thematic material with virtuosity; the playing with the listener on the basis of the introduction of quotation material and work with it; the combination of different styles within one work. Such manner requires a prepared, meaningful perception, that is, to paraphrase U. Eco, the «ideal listener».

PurposeThe purpose of the present study is twofold. First, the study will investigate the importance of tradition for businesses operating during the COVID-19 crisis, notably, as a valuable proposition and strategy. Second, the study seeks to advance theoretical understanding, proposing two frameworks based upon emerging dimensions, the resource-based view and dynamic capabilities.Design/methodology/approachAn online survey gathered the views of 107 predominantly micro and small-scale owner-manager and family-owned firms involved in the food and wine sector. These participants are based in Italy, one of the hardest-hit countries in the crisis.FindingsThree fundamental dimensions emerge from the findings. The first, “embedded advantage”, concerns firms' more direct involvement and tradition-related actions. The second, “active advantage”, highlights the already established value of tradition, for example, through firm identity gained, well-established roots and firm culture. The third dimension, “strategic fusion”, underscores the importance of upgrading the business model, where innovation complements tradition strategically.Originality/valueThe study's revealed dimensions provide new conceptual perspectives to understand tradition in the context of firms confronting an unprecedented event. The first proposed theoretical framework illustrates that firms appear to mainly rely on tradition as the fundamental pillar of their overall strategy. Additionally, other firms engage in actions to consolidate tradition's strategic significance, while others embrace innovation to further strengthen their competitiveness. The second framework emphasises relations between these dimensions and key attributes associated with the two adopted theoretical foundations, where the need to “reconfigure tradition” clearly emerges.

The automotive sector digitalization accelerates the technology convergence of perception, computing processing, connectivity, propulsion, and data fusion for electric connected autonomous and shared (ECAS) vehicles. This brings cutting-edge computing paradigms with embedded cognitive capabilities into vehicle domains and data infrastructure to provide holistic intrinsic and extrinsic intelligence for new mobility applications. Digital technologies are a significant enabler in achieving the sustainability goals of the green transformation of the mobility and transportation sectors. Innovation occurs predominantly in ECAS vehicles’ architecture, operations, intelligent functions, and automotive digital infrastructure. The traditional ownership model is moving toward multimodal and shared mobility services. The ECAS vehicle’s technology allows for the development of virtual automotive functions that run on shared hardware platforms with data unlocking value, and for introducing new, shared computing-based automotive features. Facilitating vehicle automation, vehicle electrification, vehicle-to-everything (V2X) communication is accomplished by the convergence of artificial intelligence (AI), cellular/wireless connectivity, edge computing, the Internet of things (IoT), the Internet of intelligent things (IoIT), digital twins (DTs), virtual/augmented reality (VR/AR) and distributed ledger technologies (DLTs). Vehicles become more intelligent, connected, functioning as edge micro servers on wheels, powered by sensors/actuators, hardware (HW), software (SW) and smart virtual functions that are integrated into the digital infrastructure. Electrification, automation, connectivity, digitalization, decarbonization, decentralization, and standardization are the main drivers that unlock intelligent vehicles' potential for sustainable green mobility applications. ECAS vehicles act as autonomous agents using swarm intelligence to communicate and exchange information, either directly or indirectly, with each other and the infrastructure, accessing independent services such as energy, high-definition maps, routes, infrastructure information, traffic lights, tolls, parking (micropayments), and finding emergent/intelligent solutions. The article gives an overview of the advances in AI technologies and applications to realize intelligent functions and optimize vehicle performance, control, and decision-making for future ECAS vehicles to support the acceleration of deployment in various mobility scenarios. ECAS vehicles, systems, sub-systems, and components are subjected to stringent regulatory frameworks, which set rigorous requirements for autonomous vehicles. An in-depth assessment of existing standards, regulations, and laws, including a thorough gap analysis, is required. Global guidelines must be provided on how to fulfill the requirements. ECAS vehicle technology trustworthiness, including AI-based HW/SW and algorithms, is necessary for developing ECAS systems across the entire automotive ecosystem. The safety and transparency of AI-based technology and the explainability of the purpose, use, benefits, and limitations of AI systems are critical for fulfilling trustworthiness requirements. The article presents ECAS vehicles’ evolution toward domain controller, zonal vehicle, and federated vehicle/edge/cloud-centric based on distributed intelligence in the vehicle and infrastructure level architectures and the role of AI techniques and methods to implement the different autonomous driving and optimization functions for sustainable green mobility.