537 research outputs found

    Review of the applications of principles of insect hearing to microscale acoustic engineering challenges

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    When looking for novel, simple, and energy-efficient solutions to engineering problems, nature has proved to be an incredibly valuable source of inspiration. The development of acoustic sensors has been a prolific field for bioinspired solutions. With a diverse array of evolutionary approaches to the problem of hearing at small scales (some widely different to the traditional concept of "ear"), insects in particular have served as a starting point for several designs. From locusts to moths, through crickets and mosquitoes among many others, the mechanisms found in nature to deal with small-scale acoustic detection and the engineering solutions they have inspired are reviewed. The present article is comprised of three main sections corresponding to the principal problems faced by insects, namely frequency discrimination, which is addressed by tonotopy, whether performed by a specific organ or directly on the tympana; directionality, with solutions including diverse adaptations to tympanal structure; and detection of weak signals, through what is known as active hearing. The three aforementioned problems concern tiny animals as much as human-manufactured microphones and have therefore been widely investigated. Even though bioinspired systems may not always provide perfect performance, they are sure to give us solutions with clever use of resources and minimal post-processing, being serious contenders for the best alternative depending on the requisites of the problem

    Efficient 3D Reconstruction, Streaming and Visualization of Static and Dynamic Scene Parts for Multi-client Live-telepresence in Large-scale Environments

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    Despite the impressive progress of telepresence systems for room-scale scenes with static and dynamic scene entities, expanding their capabilities to scenarios with larger dynamic environments beyond a fixed size of a few square-meters remains challenging. In this paper, we aim at sharing 3D live-telepresence experiences in large-scale environments beyond room scale with both static and dynamic scene entities at practical bandwidth requirements only based on light-weight scene capture with a single moving consumer-grade RGB-D camera. To this end, we present a system which is built upon a novel hybrid volumetric scene representation in terms of the combination of a voxel-based scene representation for the static contents, that not only stores the reconstructed surface geometry but also contains information about the object semantics as well as their accumulated dynamic movement over time, and a point-cloud-based representation for dynamic scene parts, where the respective separation from static parts is achieved based on semantic and instance information extracted for the input frames. With an independent yet simultaneous streaming of both static and dynamic content, where we seamlessly integrate potentially moving but currently static scene entities in the static model until they are becoming dynamic again, as well as the fusion of static and dynamic data at the remote client, our system is able to achieve VR-based live-telepresence at close to real-time rates. Our evaluation demonstrates the potential of our novel approach in terms of visual quality, performance, and ablation studies regarding involved design choices

    Corseto: A Kinesthetic Garment for Designing, Composing for, and Experiencing an Intersubjective Haptic Voice

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    We present a novel intercorporeal experience - an intersubjective haptic voice. Through an autobiographical design inquiry, based on singing techniques from the classical opera tradition, we created Corsetto, a kinesthetic garment for transferring somatic reminiscents of vocal experience from an expert singer to a listener. We then composed haptic gestures enacted in the Corsetto, emulating upper-body movements of the live singer performing a piece by Morton Feldman named Three Voices. The gestures in the Corsetto added a haptics-based \u27fourth voice\u27 to the immersive opera performance. Finally, we invited audiences who were asked to wear Corsetto during live performances. Afterwards they engaged in micro-phenomenological interviews. The analysis revealed how the Corsetto managed to bridge inner and outer bodily sensations, creating a feeling of a shared intercorporeal experience, dissolving boundaries between listener, singer and performance. We propose that \u27intersubjective haptics\u27 can be a generative medium not only for singing performances, but other possible intersubjective experiences

    Complexity Science in Human Change

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    This reprint encompasses fourteen contributions that offer avenues towards a better understanding of complex systems in human behavior. The phenomena studied here are generally pattern formation processes that originate in social interaction and psychotherapy. Several accounts are also given of the coordination in body movements and in physiological, neuronal and linguistic processes. A common denominator of such pattern formation is that complexity and entropy of the respective systems become reduced spontaneously, which is the hallmark of self-organization. The various methodological approaches of how to model such processes are presented in some detail. Results from the various methods are systematically compared and discussed. Among these approaches are algorithms for the quantification of synchrony by cross-correlational statistics, surrogate control procedures, recurrence mapping and network models.This volume offers an informative and sophisticated resource for scholars of human change, and as well for students at advanced levels, from graduate to post-doctoral. The reprint is multidisciplinary in nature, binding together the fields of medicine, psychology, physics, and neuroscience

    Economics for Ecology

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    Матеріали присвячені проблемам довкілля та економічним методам їх вирішення. Проаналізовано можливі механізми досягнення стійкого розвитку. Для науковців, студентів, аспірантів, представників бізнесу та громадських організацій і вищих навчальних закладів та широкого кола читачів.Materials are devoted to environmental problems and economic methods of solving them. Possible mechanisms for achieving sustainable development are analyzed. For scientists, students, graduate students, representatives of business and public organizations and higher education institutions and a wide range of readers

    Risk Analysis for Smart Cities Urban Planners: Safety and Security in Public Spaces

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    Christopher Alexander in his famous writings "The Timeless Way of Building" and "A pattern language" defined a formal language for the description of a city. Alexander developed a generative grammar able to formally describe complex and articulated concepts of architecture and urban planning to define a common language that would facilitate both the participation of ordinary citizens and the collaboration between professionals in architectural and urban planning. In this research, a similar approach has been applied to let two domains communicate although they are very far in terms of lexicon, methodologies and objectives. These domains are urban planning, urban design and architecture, seen as the first domain both in terms of time and in terms of completeness of vision, and the one relating to the world of engineering, made by innumerable disciplines. In practice, there is a domain that defines the requirements and the overall vision (the first) and a domain (the second) which implements them with real infrastructures and systems. To put these two worlds seamlessly into communication, allowing the concepts of the first world to be translated into those of the second, Christopher Alexander’s idea has been followed by defining a common language. By applying Essence, the software engineering formal descriptive theory, using its customization rules, to the concept of a Smart City, a common language to completely trace the requirements at all levels has been defined. Since the focus was on risk analysis for safety and security in public spaces, existing risk models have been considered, evidencing a further gap also within the engineering world itself. Depending on the area being considered, risk management models have different and siloed approaches which ignore the interactions of one type of risk with the others. To allow effective communication between the two domains and within the engineering domain, a unified risk analysis framework has been developed. Then a framework (an ontology) capable of describing all the elements of a Smart City has been developed and combined with the common language to trace the requirements. Following the philosophy of the Vienna Circle, a creative process called Aufbau has then been defined to allow the generation of a detailed description of the Smart City, at any level, using the common language and the ontology above defined. Then, the risk analysis methodology has been applied to the city model produced by Aufbau. The research developed tools to apply such results to the entire life cycle of the Smart City. With these tools, it is possible to understand how much a given architectural, urban planning or urban design requirement is operational at a given moment. In this way, the narration can accurately describe how much the initial requirements set by architects, planners and urban designers and, above all, the values required by stakeholders, are satisfied, at any time. The impact of this research on urban planning is the ability to create a single model between the two worlds, leaving everyone free to express creativity and expertise in the appropriate forms but, at the same time, allowing both to fill the communication gap existing today. This new way of planning requires adequate IT tools and takes the form, from the engineering side, of harmonization of techniques already in use and greater clarity of objectives. On the side of architecture, urban planning and urban design, it is instead a powerful decision support tool, both in the planning and operational phases. This decision support tool for Urban Planning, based on the research results, is the starting point for the development of a meta-heuristic process using an evolutionary approach. Consequently, risk management, from Architecture/Urban Planning/Urban Design up to Engineering, in any phase of the Smart City’s life cycle, is seen as an “organism” that evolves.Christopher Alexander nei suoi famosi scritti "The Timeless Way of Building" e "A pattern language" ha definito un linguaggio formale per la descrizione di una città, sviluppando una grammatica in grado di descrivere formalmente concetti complessi e articolati di architettura e urbanistica, definendo un linguaggio comune per facilitare la partecipazione dei comuni cittadini e la collaborazione tra professionisti. In questa ricerca, un approccio simile è stato applicato per far dialogare due domini sebbene siano molto distanti in termini di lessico, metodologie e obiettivi. Essi sono l'urbanistica, l'urban design e l'architettura, visti come primo dominio sia in termini di tempo che di completezza di visione, e quello del mondo dell'ingegneria, con numerose discipline. In pratica, esiste un dominio che definisce i requisiti e la visione d'insieme (il primo) e un dominio (il secondo) che li implementa con infrastrutture e sistemi reali. Per metterli in perfetta comunicazione, permettendo di tradurre i concetti del primo in quelli del secondo, si è seguita l'idea di Alexander definendo un linguaggio. Applicando Essence, la teoria descrittiva formale dell'ingegneria del software al concetto di Smart City, è stato definito un linguaggio comune per tracciarne i requisiti a tutti i livelli. Essendo il focus l'analisi dei rischi per la sicurezza negli spazi pubblici, sono stati considerati i modelli di rischio esistenti, evidenziando un'ulteriore lacuna anche all'interno del mondo dell'ingegneria stessa. A seconda dell'area considerata, i modelli di gestione del rischio hanno approcci diversi e isolati che ignorano le interazioni di un tipo di rischio con gli altri. Per consentire una comunicazione efficace tra i due domini e all'interno del dominio dell'ingegneria, è stato sviluppato un quadro di analisi del rischio unificato. Quindi è stato sviluppato un framework (un'ontologia) in grado di descrivere tutti gli elementi di una Smart City e combinato con il linguaggio comune per tracciarne i requisiti. Seguendo la filosofia del Circolo di Vienna, è stato poi definito un processo creativo chiamato Aufbau per consentire la generazione di una descrizione dettagliata della Smart City, a qualsiasi livello, utilizzando il linguaggio comune e l'ontologia sopra definita. Infine, la metodologia dell'analisi del rischio è stata applicata al modello di città prodotto da Aufbau. La ricerca ha sviluppato strumenti per applicare tali risultati all'intero ciclo di vita della Smart City. Con questi strumenti è possibile capire quanto una data esigenza architettonica, urbanistica o urbanistica sia operativa in un dato momento. In questo modo, la narrazione può descrivere con precisione quanto i requisiti iniziali posti da architetti, pianificatori e urbanisti e, soprattutto, i valori richiesti dagli stakeholder, siano soddisfatti, in ogni momento. L'impatto di questa ricerca sull'urbanistica è la capacità di creare un modello unico tra i due mondi, lasciando ognuno libero di esprimere creatività e competenza nelle forme appropriate ma, allo stesso tempo, permettendo ad entrambi di colmare il gap comunicativo oggi esistente. Questo nuovo modo di progettare richiede strumenti informatici adeguati e si concretizza, dal lato ingegneristico, in un'armonizzazione delle tecniche già in uso e in una maggiore chiarezza degli obiettivi. Sul versante dell'architettura, dell'urbanistica e del disegno urbano, è invece un potente strumento di supporto alle decisioni, sia in fase progettuale che operativa. Questo strumento di supporto alle decisioni per la pianificazione urbana, basato sui risultati della ricerca, è il punto di partenza per lo sviluppo di un processo meta-euristico utilizzando un approccio evolutivo

    A Review of Deep Learning Techniques for Speech Processing

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    The field of speech processing has undergone a transformative shift with the advent of deep learning. The use of multiple processing layers has enabled the creation of models capable of extracting intricate features from speech data. This development has paved the way for unparalleled advancements in speech recognition, text-to-speech synthesis, automatic speech recognition, and emotion recognition, propelling the performance of these tasks to unprecedented heights. The power of deep learning techniques has opened up new avenues for research and innovation in the field of speech processing, with far-reaching implications for a range of industries and applications. This review paper provides a comprehensive overview of the key deep learning models and their applications in speech-processing tasks. We begin by tracing the evolution of speech processing research, from early approaches, such as MFCC and HMM, to more recent advances in deep learning architectures, such as CNNs, RNNs, transformers, conformers, and diffusion models. We categorize the approaches and compare their strengths and weaknesses for solving speech-processing tasks. Furthermore, we extensively cover various speech-processing tasks, datasets, and benchmarks used in the literature and describe how different deep-learning networks have been utilized to tackle these tasks. Additionally, we discuss the challenges and future directions of deep learning in speech processing, including the need for more parameter-efficient, interpretable models and the potential of deep learning for multimodal speech processing. By examining the field's evolution, comparing and contrasting different approaches, and highlighting future directions and challenges, we hope to inspire further research in this exciting and rapidly advancing field

    Application and Prospect of Telesurgery: The Role of Artificial Intelligence

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    Remote surgery refers to a new surgical mode in which doctors operate on patients with the help of surgical robots, network technology, and virtual reality technology. These robots are located far away from patients. The remote surgical robot system integrates key technologies such as robot, communication technology, remote control technology, space mapping algorithm, and fault tolerance analysis. Apply a variety of emerging networking modes such as 5G, optical fiber private network, fusion network technology, and deterministic network to realize the motion of the subordinate surgical robot and the vision of the main knife, and ensure stable signal transmission and safe remote operation. The development and application of remote surgical robots has become a new trend, which helps to break the barriers of unbalanced regional medical resource allocation, promote the rational allocation of high-quality medical resources, and solve the telemedicine problems in special areas and special circumstances. The development prospect is broad. In the future, relying on the 5G network technology with high speed, low power consumption, and low latency, remote surgery can operate more efficiently and stably, and the surgical robot will also develop toward a more portable and flexible direction, so as to better serve patients

    Augmented reality (AR) for surgical robotic and autonomous systems: State of the art, challenges, and solutions

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    Despite the substantial progress achieved in the development and integration of augmented reality (AR) in surgical robotic and autonomous systems (RAS), the center of focus in most devices remains on improving end-effector dexterity and precision, as well as improved access to minimally invasive surgeries. This paper aims to provide a systematic review of different types of state-of-the-art surgical robotic platforms while identifying areas for technological improvement. We associate specific control features, such as haptic feedback, sensory stimuli, and human-robot collaboration, with AR technology to perform complex surgical interventions for increased user perception of the augmented world. Current researchers in the field have, for long, faced innumerable issues with low accuracy in tool placement around complex trajectories, pose estimation, and difficulty in depth perception during two-dimensional medical imaging. A number of robots described in this review, such as Novarad and SpineAssist, are analyzed in terms of their hardware features, computer vision systems (such as deep learning algorithms), and the clinical relevance of the literature. We attempt to outline the shortcomings in current optimization algorithms for surgical robots (such as YOLO and LTSM) whilst providing mitigating solutions to internal tool-to-organ collision detection and image reconstruction. The accuracy of results in robot end-effector collisions and reduced occlusion remain promising within the scope of our research, validating the propositions made for the surgical clearance of ever-expanding AR technology in the future
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