Academic literature on the topic 'Istorically inspired performance practice'
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Journal articles on the topic "Istorically inspired performance practice"
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Efstathopoulos, Yiannis. "La guitarra universal de Falla: el material del compositor como inspiración para prácticas interpretativas, la estética del Homenaje y de otras obras de la Generación 27'." Música Oral del Sur, no. 21 (December 30, 2024): 287–318. https://doi.org/10.5281/zenodo.14794384.
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Este artículo analiza las fuentes guitarrísticas de Manuel de Falla y propone ejemplos de un acercamiento a la interpretación histórica de su obra, el Homenaje escrito en 1920. A través de estas fuentes y experimentos realizados en instrumentos antiguos con cuerdas de tripa y seda, esta investigación se enfoca en los detalles interpretativos del Homenaje y en otras obras de la época como son el Preludio y Danza de Julián Bautista o los arreglos de Miguel Llobet. A través de esta búsqueda se pretende ampliar la estética guitarrística Falliana, interpretar música y formaciones olvidadas y reconsiderar el panorama guitarrístico.
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Arrazola, Juan Miguel, Alain Delgado, Bhaskar Roy Bardhan, and Seth Lloyd. "Quantum-inspired algorithms in practice." Quantum 4 (August 13, 2020): 307. http://dx.doi.org/10.22331/q-2020-08-13-307.
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We study the practical performance of quantum-inspired algorithms for recommendation systems and linear systems of equations. These algorithms were shown to have an exponential asymptotic speedup compared to previously known classical methods for problems involving low-rank matrices, but with complexity bounds that exhibit a hefty polynomial overhead compared to quantum algorithms. This raised the question of whether these methods were actually useful in practice. We conduct a theoretical analysis aimed at identifying their computational bottlenecks, then implement and benchmark the algorithms on a variety of problems, including applications to portfolio optimization and movie recommendations. On the one hand, our analysis reveals that the performance of these algorithms is better than the theoretical complexity bounds would suggest. On the other hand, their performance as seen in our implementation degrades noticeably as the rank and condition number of the input matrix are increased. Overall, our results indicate that quantum-inspired algorithms can perform well in practice provided that stringent conditions are met: low rank, low condition number, and very large dimension of the input matrix. By contrast, practical datasets are often sparse and high-rank, precisely the type that can be handled by quantum algorithms.
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Eeg-Tverbakk, Camilla. "Thinking Matter(s) in Theatre Practice." Nordic Theatre Studies 35, no. 2 (2024): 75–86. http://dx.doi.org/10.7146/nts.v35i2.149660.
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This article discusses a materialist approach to dramaturgy framed as a dramaturgy of assemblage. It is inspired by posthuman thinking and draws on theory from new materialism (Rosi Braidotti, Jane Bennett, Elaine Gan, and Anna Tsing). The dramaturgical approach is developed through artistic research, and the article refers to the performances Childism (2015) and Jeg vill høre havet (2017), which serve as examples of this practice. I articulate the movement from dramaturgy as a collective practice to exploring a collective which includes more-than-human collaborators. Rosi Bradotti’s work on the nomadic subject (drawing on Deleuze and Guattari) has inspired the notion of the nomadic dramaturge. In her book Posthuman Knowledge, Braidotti discusses what “we” are in the posthuman and post-anthropocentric condition, suggesting that the posthuman subject is (part of) a collective. Following Braidotti, I introduce the concept of dramaturgy of assemblages as a place for this collective subjectivity. A dramaturgy of assemblages responds in practice to the question of how a posthuman framework affects theatre and performance-making. What is presented in this article is all about shifting perspectives. When we think differently, we act differently, and different things are formed.
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Wang, Xuezhen, Ruizhi Du, Lingxin Geng, Hanmi Zhou, and Jiangtao Ji. "Performance Evaluation of a Cicada-Inspired Subsoiling Tool Using DEM Simulations." Biomimetics 9, no. 1 (2024): 25. http://dx.doi.org/10.3390/biomimetics9010025.
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Subsoiling practice is an essential tillage practice in modern agriculture. Tillage forces and energy consumption during subsoiling are extremely high, which reduces the economic benefits of subsoiling technology. In this paper, a cicada-inspired biomimetic subsoiling tool (CIST) was designed to reduce the draught force during subsoiling. A soil–tool interaction model was developed using EDEM and validated using lab soil bin tests with sandy loam soil. The validated model was used to optimize the CIST and evaluate its performance by comparing it with a conventional chisel subsoiling tool (CCST) at various working depths (250–350 mm) and speeds (0.5–2.5 ms−1). Results showed that both simulated draught force and soil disturbance behaviors agreed well with those from lab soil bin tests, as indicated by relative errors of <6.1%. Compared with the CCST, the draught forces of the CIST can be reduced by 17.7% at various working depths and speeds; the design of the CIST obviously outperforms some previous biomimetic designs with largest draught force reduction of 7.29–12.8%. Soil surface flatness after subsoiling using the CIST was smoother at various depths than using the CCST. Soil loosening efficiencies of the CIST can be raised by 17.37% at various working speeds. Results from this study implied that the developed cicada-inspired subsoiling tool outperforms the conventional chisel subsoiling tool on aspects of soil disturbance behaviors, draught forces, and soil loosening efficiencies. This study can have implications for designing high-performance subsoiling tools with reduced draught forces and energy requirements, especially for the subsoiling tools working under sandy loam soil.
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Philippe, Maxime. "Artaud et l’expérience des langues: les glossolalies comme performance thérapeutique." Nottingham French Studies 63, no. 1 (2024): 111–26. http://dx.doi.org/10.3366/nfs.2024.0403.
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After taking part in an art therapy experiment in 1943, Antonin Artaud started to include in his writings passages of an invented language that he connected to the tradition of glossolalia. I argue that the polyglottic dimension of this glossolalic practice is essential. After expounding the relationship of glossolalia to linguistic diversity, I will demonstrate how Artaud’s glossolalia conveys the poet’s linguistic experience. More specifically, I will emphasize the importance of the Raramuri rituals, which Artaud witnessed in Mexico in 1936, for the definition of his glossolalic practice. The Raramuri vision of an embodied and performed therapy inspired the poet to reclaim his agency in the process of art therapy. Artaud’s glossolalia corresponds to an art performance thought as such a therapy. This practice attempts to rebuild Babel, to simultaneously refound language and body.
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Abbas, Hosny, and Samir Shaheen. "Noshape." International Journal of Organizational and Collective Intelligence 9, no. 1 (2019): 12–36. http://dx.doi.org/10.4018/ijoci.2019010102.
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This article presents a bio-inspired paradigm for metaphorically modeling agent organizations as adaptive virtual amoebas for the development of large-scale complex multi-agent systems. The presented model is called Noshape inspired from the amoeba, which is a unicellular micro-organism that does not have a definite shape. This article aims to test the performance of Noshape MAS with applications contain higher numbers of agents up to 8000 agents; this number of agents is very huge compared to the current state of the practice of MAS. The performance evaluation results show that Noshape MAS have better long-term performance in terms of service response time compared to present organizational approaches (i.e., federation). In Noshape MAS, the response times of remote agents' interactions will seem to be as those of local interactions thanks to the transparently provided dynamic adaptation behavior which arises from the dynamic overlapping of agent organizations. Further research is recommended to give the focus to performance, resiliency, security, and agent mobility within Noshape MAS.
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Hastings, David M. "“With grace under pressure”: How critique as signature pedagogy fosters effective music performance." Arts and Humanities in Higher Education 16, no. 3 (2016): 252–65. http://dx.doi.org/10.1177/1474022216652772.
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Inspired by seminal writings on Critique as Signature Pedagogy in the Arts and performance as Signature Pedagogy in Music, this article unifies these two concepts into a study of how critique as signature pedagogy in music-performance promotes student learning. This essay seeks to first define the notion of different mindsets as musicians perform and as they practice for performances, and then explores the role of critique in guiding students toward these music-performance ways of thinking and habits of mind. The essay defines four different ways of applying critique (teacher-coach critique, self critique, audience critique, and peer critique) as a key teaching practice or signature pedagogy in the music-performance discipline. Finally, the essay ends with a description of a learning experience that effectively illustrates this pedagogy in a studio class setting.
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Jakobsen, Krisztina V., and David B. Daniel. "Evidence-Inspired Choices for Teachers: Team-Based Learning and Interactive Lecture." Teaching of Psychology 46, no. 4 (2019): 284–89. http://dx.doi.org/10.1177/0098628319872411.
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Research on team-based learning (TBL) generally supports its effectiveness over “traditional” lecture. In practice, however, lecturing rarely consists of teachers exclusively talking at their students, as many incorporate a variety of strategies to encourage active processing. This study compared an interactive lecture style with TBL on student performance. Generally, the results indicate that there are differences in particular aspects of course performance across conditions depending upon grade point average (GPA). Overall, these results support the findings that either teaching strategy is a viable option for teachers. We argue that there is no one right way to teach, and the scholarship of teaching and learning can best serve high-quality teaching by actively contrasting and evaluating a variety of techniques for the wide variety of teaching needs.
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Rouhiainen, Leena. "Priming the Body: Breath as a Foundation for Exploring Ethical Performance Practice." Nordic Journal of Dance 6, no. 1 (2015): 6–21. http://dx.doi.org/10.2478/njd-2015-0002.
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Abstract This article contemplates how the cultivation of breath through specific body awareness techniques might be understood to support a dialogical and ethical relatedness between collaborators constructing a performance through an open-ended process. The article introduces a teaching experiment based mainly upon exercises drawn from strands of body psychotherapy that took place within a larger experimental and cross-artistic workshop and performance project. This project aimed at enhancing the collaborative, creative, and critical skills of MA students in dance and theatre pedagogy of the Theatre Academy of the University of the Arts Helsinki. The article discusses the overall artistic project as well as the kind of bodywork the teaching experiment involved, and it makes a phenomenologically oriented reading of the written interview material gathered from the students. The specific theoretical perspective taken on the topic draws from two phenomenologically inspired thinkers, namely, Luce Irigaray’s and Timo Klemola’s views on the influence that cultivation of breathing can have on subjectivity. The article suggests that exploring and cultivating breathing through compassion can support the evolution of ethical collaboration in open-ended performance processes.
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Lexer, Sebastian. "Piano+: An Approach towards a Performance System Used within Free Improvisation." Leonardo Music Journal 20 (December 2010): 41–46. http://dx.doi.org/10.1162/lmj_a_00011.
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This article explores the author's strategy for developing a computer performance system designed for free improvisation with acoustic instruments following a non-idiomatic approach. Philosophical considerations on potentiality and personal and social space and research into the psychology of motivation and behavior have inspired and enabled a different approach to integrating technology with improvisation. The technical realization of a parameter space, in particular utilizing contingent behavior emerging from the convergent mapping of a mixture of controller types, has proven effective for the spontaneous creative decision making required to extend the sonic potential of an acoustic piano while minimizing direct computer operation, as applied regularly in practice by the author.
Dissertations / Theses on the topic "Istorically inspired performance practice"
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Huntingford, James. "Tasteful piano performance in classic-era Britain." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2439.
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In recent decades, British solo piano repertoire of the Classic era has attracted increasing interest from researchers. A number of scholars have sought to identify the compositional elements that comprise late eighteenth- and early nineteenth-century British piano music. Despite this interest, there has been little research into the conventions of performance with which this repertoire is inextricably associated. Moreover, scant attention has been given to the notions of taste that are so often encountered in contemporaneous music treatises and philosophical writings. This thesis addresses these gaps in the existing literature by examining tasteful piano performance in late eighteenth- and early nineteenth-century Britain. The thesis provides a survey of contemporaneous British writings on the subject of taste—first, the broad notion of taste in British culture during the period, then the notion of taste in music performance in general, and finally the notion of taste specifically in relation to piano music. This survey includes a comprehensive investigation of selected performance practice issues, again as discussed in contemporaneous British primary sources. The study shows that taste was a vital aspect of music performance in Classic-era Britain. Furthermore, the thesis reveals that tasteful performance was intimately connected with issues arising from performance practice, and that decisions made in relation to these issues involved a degree of freedom on the part of the performer. The findings of the study are manifested in annotated scores of selected contemporaneous repertoire, then performatively applied by the author in a recorded performance of the repertoire using an early nineteenth-century English piano.
Books on the topic "Istorically inspired performance practice"
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Nollywood-Inspired Migrant Filmmaking in Switzerland: Practice, Performance and Meaning. Cambridge Scholars Publishing, 2023.
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Mooser, Sandra. Nollywood-Inspired Migrant Filmmaking in Switzerland: Practice, Performance and Meaning. Cambridge Scholars Publishing, 2022.
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Goff, Derrick, and Rachelle Jonck. Vaccai Project: A Practice Diary Exploring the Historically Informed Performance Practice of the Bel Canto Style Inspired by the Classic Lessons of Vaccai. Independently Published, 2022.
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Eldridge, Alice, and Oliver Bown. Biologically Inspired and Agent-Based Algorithms for Music. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.18.
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This chapter examines a range of approaches to algorithmic music making inspired by biological systems, and considers topics at the intersection of contemporary music, computer science, and computational creativity. A summary of core precursor movements both within and beyond musical practice (A Life, cybernetics, systems art, etc.) sets the scene, before core models and algorithms are introduced and illustrated. These include evolutionary algorithms, agent-based modelling and self-organizing systems, adaptive behaviour and interactive performance systems, and ecosystemic approaches to composition and computational creative discovery. The chapter closes by reviewing themes for future work in this area: autonomy and agency, and the poetics of biologically inspired algorithms.
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Bäck, Thomas. Evolutionary Algorithms in Theory and Practice. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195099713.001.0001.
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This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming. The algorithms are presented within a unified framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms, showing how mutation seems to be much more important for the performance of genetic algorithms than usually assumed. The interaction of selection and mutation, and the impact of the binary code are further topics of interest. Some of the theoretical results are also confirmed by performing an experiment in meta-evolution on a parallel computer. The meta-algorithm used in this experiment combines components from evolution strategies and genetic algorithms to yield a hybrid capable of handling mixed integer optimization problems. As a detailed description of the algorithms, with practical guidelines for usage and implementation, this work will interest a wide range of researchers in computer science and engineering disciplines, as well as graduate students in these fields.
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Bennett, Susan. Experimental Shakespeare. Edited by James C. Bulman. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199687169.013.6.
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‘Experimental Shakespeare’ considers the various meanings of ‘experimental’ as it has been attributed to productions of the plays in the last fifty years. It looks at innovation in performance style as well as the criticism these stage practices have inspired. In addition, the chapter considers the emergence and popularity of a ‘global’ Shakespeare and how audiences engage non-English-language and postcolonial productions in diverse cultural markets. Finally, it looks at the idea of original practices productions in replica theatre buildings and considers what effects are produced by claims to an authentic Shakespearean performance practice. Each of these traditions of ‘experimental’ Shakespeare contributes to the ongoing cultural and economic impact of the playwright and his work.
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Walsh, Fintan. Theatre and Therapy. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350465114.
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What is the relationship between theatre and therapy? How has this relationship developed over time, with a new contemporary focus on mental wellbeing? How is therapy put on the couch by theatrical performance?Theatre and Therapy explores the evolution of links between theatre and therapy by considering actor training, theatre in therapeutic contexts, and contemporary theatre and performance practice. The book illuminates some of the connections and frictions between theatre and therapy, drawing on a range of examples that includes theatre performance, documentary theatre, solo performance, comedy, method acting and dramatherapy. This concise study traverses some of the changing interactions between theatre and therapy, and in this revised edition, takes into account shifting attitudes and approaches to theatre as a therapeutically inspired practice and tool.
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Leathem, Karen Trahan. Walking Raddy. Edited by Kim Vaz-Deville. University Press of Mississippi, 2018. http://dx.doi.org/10.14325/mississippi/9781496817396.001.0001.
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Since 2004, the Baby Doll Mardi Gras tradition in New Orleans has gone from an obscure, almost-forgotten practice to a flourishing cultural force. The original Baby Dolls were groups of black women, and some men, in the early Jim Crow era who adopted New Orleans street-masking tradition as a unique form of fun and self-expression against a backdrop of racial discrimination. Wearing short dresses, bloomers, bonnets, and garters with money tucked tight, they strutted, sang ribald songs, chanted, and danced on Mardi Gras Day and on St. Joseph feast night. Today’s Baby Dolls continue the tradition of one of the first street women's masking and marching groups in the United States. They joyfully and unabashedly defy gender roles, claiming public space and proclaiming through their performance their right to social citizenship. Essayists draw on interviews, theoretical perspectives, archival material, and historical assessments to describe women’s cultural performances that take place on the streets of New Orleans. They recount the history and contemporary resurgence of the Baby Dolls while delving into the larger cultural meaning of the phenomenon. Over 140 color photographs and personal narratives of immersive experiences provide passionate testimony of the impact of the Baby Dolls on their audiences. Fifteen artists offer statements regarding their work documenting and inspired by the tradition as it stimulates their imagination to present a practice that revitalizes the spirit.
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Ballard, Lincoln, Matthew Bengtson, and John Bell Young. Alexander Scriabin Companion. Published by Rowman & Littlefield, 2017. https://doi.org/10.5040/9798881818678.
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This unique collaboration between a musicologist and two pianists – all experts in Russian music – takes a fresh look at the supercharged music and polarizing reception of the Russian composer Alexander Scriabin. From his Chopin-inspired miniatures to his genre-bending symphonies and avant-garde late works, Scriabin left a unique mark on music history. Scriabin’s death centennial in 2015 brought wider exposure and renewed attention to this pioneering composer. Music lovers who are curious about Scriabin have been torn between specialized academic studies and popular sources that glamorize his interests and activities, often at the expense of historical accuracy. This book bridges the divide between these two branches of literature, and brings a modern perspective to his music and legacy. Drawing on archival materials, primary sources in Russian, and recently published books and articles, Part One details the reception and performance history of Scriabin’s solo piano and orchestral music. High quality recordings are recommended for each piece. Part Two explores four topics in Scriabin’s reception: the myths generated by Scriabin’s biographers, his claims to synaesthesia or “color-hearing,” his revival in 1960s America as a proto-Flower Child, and the charges of anti-Russianness leveled against his music. Part Three investigates stylistic context and performance practice in the piano music, and considers the domains of sound, rhythm, and harmony. It offers interpretive strategies for deciphering Scriabin’s challenging scores at the keyboard. Students, scholars, and music enthusiasts will benefit from the historical insights offered in this interdisciplinary book. Armed with this knowledge, readers will be able to better appreciate the stylistic innovations and colorful imagination of this extraordinary composer.
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Kinchin, Ian M., ed. Reclaiming the Teaching Discourse in Higher Education. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781350411500.
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This book examines university teaching to encourage a move away from the singular lens of neoliberalism towards more a pluralistic stance that inspires a healthy diversity of theories and practices.University teaching is dominated by neoliberal cultures of measurement, consumerism and deficit, generating a monocultural narrative that disenfranchises the higher education teaching community. Collaborative communities of support are now perceived as performative regimes of surveillance, and existing injustices in the education system have been amplified by institutional responses to the COVID-19 pandemic. This book offers a reappraisal of the current state of university teaching, and re-imaginings of potential futures. Inspired by emerging perspectives in educational research and building upon Biesta’s notion of the ‘rediscovery of teaching’, the book encourages an escape from accepted wisdom, liberating teaching from the bonds of reductive binary and linear thinking, and accepting the need for a plurality of theoretical perspectives. While universities use popular terms such as student-centredness, global excellence, active learning, and so on, and will highlight key performance metrics such as student satisfaction or teaching excellence awards, the reality is that much current teaching practice is rather ‘traditional’, ‘teacher-centred’, ‘passive’, and ‘content heavy’. Despite managerial emphasis on ‘best practice’ and ‘evidence-based practice’, teaching is not reducible to a simple set of competencies and student learning is not adequately summarised as a list of graduate attributes. Teaching is relational and highly context dependent, and our discussion of teaching should recognise this. The performative culture pervading many campuses can dampen down large-scale innovation, leaving marginalised pockets of subversive collaboration and experimentation to operate below the corporate radar. Here the contributors give voice to some of those emerging ideas and challenge neoliberal orthodoxy.
Book chapters on the topic "Istorically inspired performance practice"
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Jayavarthanan, Rathinasabapathi, Anima Nanda, and M. Amin Bhat. "The Impact of Nanotechnology on Environment." In Integrating Biologically-Inspired Nanotechnology into Medical Practice. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0610-2.ch007.
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Nanotechnology is an emerging field that covers a wide range of technologies which are presently under development in nanoscale. It plays a major role in the development of innovative methods to produce new products, to substitute existing production equipment and to reformulate new materials and chemicals with improved performance resulting in less consumption of energy and materials and reduced harm to the environment as well as environmental remediation. The environmental impact of nanotechnology is the possible effects that the use of nanotechnological materials and devices will have on the environment. This impact can be split into two aspects: the potential for nanotechnological innovations to help improve the environment (beneficial part), and the possibly novel type of pollution that nanotechnological materials might cause if released into the environment (harmful part). The nanoparticles can be used an individual product in pure form or as an adjuvant with existing products in order enhance their activities. The beneficial aspects of nanoparticles include water filtration and treatment, green energy synthesis, degradation of plastics, detoxification harmful dyes and chemicals. The harmful aspects consist of unwanted by-products of nanoparticles, effluents of nano industries, etc.
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Vadivel, R., and J. Ramkumar. "QoS-Enabled Improved Cuckoo Search-Inspired Protocol (ICSIP) for IoT-Based Healthcare Applications." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1090-2.ch006.
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Internet of Things (IoT) is a technology which accommodates the hardware, software, and physical objects that collaborate with each other. IoT-based healthcare applications are increasing day by day and are never going to be decreased. Healthcare applications work in an ad-hoc manner to collect patient data and send it to corresponding persons so they can take just-in-time action. The routing protocols designed for general ad-hoc networks and applications are not supported by IoT-based, ad-hoc networks. Hence, there exists a need to develop a routing protocol to support IoT-based, ad-hoc networks. This chapter focuses to develop a routing protocol for an IoT-based, cognitive radio ad-hoc network by utilizing bio-inspired concept with the objective of reducing the delay and energy consumption. NS2 simulation results reflect the proposed routing protocol's performance in terms of benchmark performance metrics.
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Khan, Siyab, Abdullah Khan, Rehan Ullah, Maria Ali, and Rahat Ullah. "Insulin DNA Sequence Classification Using Levy Flight Bat With Back Propagation Algorithm." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2521-0.ch011.
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Various nature-inspired algorithms are used for optimization problems. Recently, one of the nature-inspired algorithms became famous because of its optimality. In order to solve the problem of low accuracy, famous computational methods like machine learning used levy flight Bat algorithm for the problematic classification of an insulin DNA sequence of a healthy human, one variant of the insulin DNA sequence is used. The DNA sequence is collected from NCBI. Preprocessing alignment is performed in order to obtain the finest optimal DNA sequence with a greater number of matches between base pairs of DNA sequences. Further, binaries of the DNA sequence are made for the aim of machine readability. Six hybrid algorithms are used for the classification to check the performance of these proposed hybrid models. The performance of the proposed models is compared with the other algorithms like BatANN, BatBP, BatGDANN, and BatGDBP in term of MSE and accuracy. From the simulations results it is shown that the proposed LFBatANN and LFBatBP algorithms perform better compared to other hybrid models.
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Siebers, P. "Worker Performance Modeling in Manufacturing Systems Simulation." In Handbook of Research on Nature-Inspired Computing for Economics and Management. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59140-984-7.ch043.
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Discrete event simulation is generally recognized as a valuable aid to the strategic and tactical decision making that is required in the evaluation stage of the manufacturing systems design and redesign processes. It is common practice to represent workers within these simulation models as simple resources, often using deterministic performance values derived from time studies. This form of representing the factory worker ignores the potentially large effect that human performance variation can have on system performance, and it particularly affects the predictive capability of simulation models with a high proportion of manual tasks. The intentions of the chapter are twofold: firstly, to raise awareness of the importance of considering human performance variation in such simulation models; and secondly, to present some conceptual ideas for developing a worker agent for representing worker performance in manufacturing systems simulation models.
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Baumgartner, Holly Lynn, and Garrick Ducat. "Empowering Faculty Communities for Fostering and Assessing Student Performance in Virtual Landscapes." In Adaptation, Resistance and Access to Instructional Technologies. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61692-854-4.ch010.
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This chapter presents a case study and a narrative of an experimental course, an undergraduate allied health interdisciplinary seminar, and its corresponding faculty learning community exploring how collaborative learning may be fostered in a virtual world. The objectives of the course included enhancing student technology literacy, engendering reflective practice, and creating a student-focused faculty learning community; additionally, the faculty learning community both inspired and was inspired by students, fueling innovative teaching practices which, as a result, have infused the college curriculum. Receiving mentoring from learning community members, students were responsible for the design, development, and implementation of a virtual solution to a student defined, healthcare-based, needs analysis. The last part of this case study provides explication of the RIME model of student and learning community assessment for use in teaching with a multi-user virtual environment (MUVE) which may, by extension, be applied to other emergent technologies and social media. This instrument assesses student learning outcomes in the areas of retention, immersion, motivation, and engagement.
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Desuky, Abeer S. "Two Enhancement Levels for Male Fertility Rate Categorization Using Whale Optimization and Pegasos Algorithms." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5092-5.ch011.
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Recently, diseases and health problems that were common only in the elderly became common also among the youth. Some of these medical problems causes include behavioral, environmental, and lifestyle factors. The decrease in fertility rates especially among the male population is one of those problems. Now, machine learning and artificial intelligence algorithms are emerging methodologies as computer-aided decision systems in medical diagnosis and health problems. In this chapter, the incorporation of the bio-inspired whale optimization algorithm (WOA) and Pegasos algorithm are used to enhance the male fertility rate categorization in two levels. Results show that implementing WOA as the second level of enhancement gives better accuracy than the first level of enhancement in Pegasos algorithm with a prediction accuracy value of 90%. Using two machine learning algorithms to categorize the male fertility rate helped in the overall improvement of the proposed system performance to give results that exceeded all recent research results for fertility data.
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Desuky, Abeer S. "Severity of Breast Mass Prediction in Mammograms Based on an Optimized Naive Bayes Diagnostic System." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5092-5.ch012.
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Mammography is the most effective tool for breast mass screening. It is a special CT scan technique used only to detect breast tumors early and accurately. Detecting tumors in its early stage has improved the survival rate for breast cancer patients. Computer-aided diagnostic systems help physicians to detect breast cells abnormalities earlier than other traditional procedures. The main aim of this chapter is to increase physicians' ability to determine the severity of a mammographic mass lesion from the BI-RADS features and the patient's age using the bio-inspired chicken swarm optimization (CSO) algorithm for Naive Bayes (NBC) classifier. The mammographic mass dataset is used to analyze the proposed method (CSO-NBC). The dataset is preprocessed and divided to train the CSO-NBC system and test it by the 5-fold cross-validation technique. The performance of the proposed classification system is compared with the results from other research to show the efficiency of the system in predicting the severity of breast tumors with the highest accuracy.
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Kamboj, Aman, Rajneesh Rani, and Aditya Nigam. "EarLocalizer." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7525-2.ch006.
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With much concern over security, it has become essential to maintain the identity and track of an individual's activities in the modern healthcare sector. Although there are biometric authentication systems based on different modalities, recognition of a person using the ear has gained much attention as ears are unique. Ear localization is a first step for ear-based biometric authentication systems, and this needs to be accurate, since it plays a crucial role in the overall performance of the system. The localization of ear in the side face images captured in the wild possess great challenges due to varying angles, light, scale, background clutter, blur and occlusion, etc. In this chapter, the authors have proposed EarLocalizer model to localize the ear, which is inspired by Faster-RCNN. The model is evaluated on two wild ear databases, UBEAR-II and USTB-III, and has achieved an accuracy of 95% and 99.08%, respectively, at IOU (Intersection over Union) = 0.5. The results of the proposed model signify that the model is invariant to the environmental conditions.
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Cruz Rodrigues, Antonio, Cristiano Pedroso-Roussado, Joao Cunha, and Ana Jorge. "Biology of Creativity: A Nondesign-Inspired Model to Enhance Creativity and Innovation Skills." In Creativity and Innovation for a Better World. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.112738.
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From the merge of arts and crafts towards practice for mass production of desirability, consumption, and product development in a capitalist economy of scale, design has lost its natural ability of problem comprehension and tension alleviation. The modern world needs creativity, flexibility, and responsiveness embedded into design practices, mostly when a behavioural change, either individual or organisational, is intended. Still, the informality nature of the field is creating a gap between the study, research, and industrial design practice. Here, it is presented the Biology of Creativity Model (BoC), which is a design-by-analogy method that promotes an empowered design and creative practice through analysis of mostly biology reference texts for enhanced creative performance in a diverse array of contexts.
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Anno, Mariko. "Introduction." In Piercing the Structure of Tradition. Cornell University Press, 2020. http://dx.doi.org/10.7591/cornell/9781939161079.003.0001.
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This chapter investigates flute performance as a space for exploring the relationship between tradition and innovation and traces the characteristics of the nohkan and its music. It examines the musical structure and nohkan melodic patterns of five traditional Noh plays. It also assesses the degree to which Issō School nohkan players maintain the continuity of their musical tradition in three contemporary Noh plays inspired by the twentieth-century Irish poet William Butler Yeats. The chapter reviews three contemporary works draw upon Yeats's At the Hawk's Well, which was influenced by Noh drama. The chapter argues that traditions of musical style and usage remain vastly influential in shaping contemporary Noh composition and performance practice, and that the freedom within fixed patterns can be understood through a firm foundation in Noh tradition.
Conference papers on the topic "Istorically inspired performance practice"
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Dang, Yu, Jie Chen, and Jianda Han. "Preliminary Design and Performance Test of an Origami Actuator Inspired by Yoshimura Pattern." In 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE, 2021. http://dx.doi.org/10.1109/m2vip49856.2021.9664993.
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Lisiewski, Andrew P., Haijun Liu, and Miao Yu. "Fly Ear Inspired Miniature Sound Source Localization Sensor: Localization in Two Dimensions." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40741.
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Miniature directional microphones are desirable and attractive in many applications including micro air vehicles, hearing aid devices, and anti-sniper systems. To overcome the size constraint, the natural world can serve as a source of inspiration. One striking example is found in the parasitoid fly Ormia Ochracea. Although the interaural distance of the fly ears is only 520μm, it can localize its cricket host with a resolution of as small as 2° [1]. The key to this remarkable directional hearing capability has been linked to a mechanical coupling between the fly’s two eardrums [1–3]. By mimicking the fly-ear design, two-membrane devices have been developed in our previous work [4] which can localize sound in one dimension. This work is intended to develop a three-membrane sound localization sensor, with a coupling beam connected between each of the two adjacent membranes. By utilizing the responses from all three membranes, this device can pinpoint a sound source based on the obtained bearing and elevation angles. A reduced-order model with three degrees of freedom has been developed, and parametric studies have been carried out to study the performance of the system. In experiment, the membrane responses have been detected by using a fiber optic interferometric system. The experimental results have demonstrated an improved directional sensitivity compared with that obtained from a conventional microphone array with uncoupled membranes. This work offers an entirely new approach for sensor design and development practice via the seamless integration of bio-inspired solutions, mechanics modeling, micro-fabrication techniques, and optical detection strategies.
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Thompson, Stephanie C., and Christiaan J. J. Paredis. "An Introduction to Rational Design Theory." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28352.
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Design theories provide theoretical foundation for design and can lead to insights that improve the practice of design. From a theoretical perspective, existing design theories have some major limitations that limit the insights that can be gained and restrict their applicability in practice. These limitations include the treatment of uncertainty and the lack of interaction of concerns regarding the designed artifact and the design process. In this paper, a new design theory is introduced that explicitly includes uncertainty considerations and enables quantitative tradeoffs between the utility of the product and the process. This new theory is inspired by decision theory and expands upon the traditional product-centric perspective of decision-based design; the new theory is therefore termed Rational Design Theory (RDT). RDT combines a decision-theory-inspired descriptive model of artifact design decisions with a normative perspective for design process decisions. This theory provides new insights into the process of design that can inspire improved design methods. Furthermore, RDT provides a quantitative framework for comparing the relative performance of different design processes.
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Liu, Yuan, Jian Li, Qihong Lei, et al. "Pattern Fracturing: Concept, Simulation, and Case History of Platform-Based Completion and Fracturing Optimization." In SPE International Hydraulic Fracturing Technology Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215651-ms.
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Abstract Inspired by the success of North American unconventional resources, many shale oil operators in China adopted the intensive completion and fracturing practice for field development. The intention of the aggressive scheme was to improve individual well productivity as well as the ultimate recovery. Similar to the shale oil counterpart in North America, however, frequent frac hits have been reported in the recent years, and the increase of the engineering parameters has not always increased field productivity. Based on geo-engineering work in Ordos basin, we developed and tested an innovative strategy, pattern fracturing, to solve this issue, and it proved to be an effective and low-cost completion and fracturing optimization method for reservoir management. Pattern fracturing differs from the previous field practice by dividing pad wells into two groups, each with a distinctive strategy for the job design and execution sequence. One group is defined as energy charger (EC) and the other as reinforced producer (RP). EC wells adapt to the large-volume high-rate fracturing practice to maintain the long-term reservoir pressure. The RP wells adapted to an intensive staging with low-volume low-rate fracturing practice, which aims to create a better near-wellbore flowing environment. EC wells are to be completed earlier than the RP wells, so that the RP well engineering parameters can use the previous monitoring and observation as a reference. Essentially, pattern fracturing is a platform-based reservoir management approach. Pattern fracturing was evaluated with reservoir simulation for validity and then put into practice in a five-well testing site on platform-A in Ordos basin. The result from the pattern fracturing trial was encouraging. In addition to the lower horsepower consumption, the higher efficiency of job execution, and fewer perceived frac hits from offset wells, the production performance from platform-A showed positive results in both EC and RP wells. This indicates that by assigning the wells into different groups and refining the strategy and design for each of group, there is a good chance of improving the productivity with less cost. Pattern fracturing is an innovative completion and fracturing optimization approach with reservoir management purposes used in horizontal well groups, particularly fit for the scenario of unconventional resources.
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Teodorescu, Ioana, Vasile Viorel, and Bogdan cristian Onete. "EVALUATING E-SATISFACTION AND E-LOYALTY BASED ON WEB LEARNING EXPERIENCE." In eLSE 2015. Carol I National Defence University Publishing House, 2015. http://dx.doi.org/10.12753/2066-026x-15-190.
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E-learning initiatives have materialized by expansion of nontraditional learners. The requirements of flexible schedule, geographic location, access to on-line resources and use of new techniques and technologies have increased the number of learners that are seeking e-learning experiences. The main purpose of this paper is to identify and to analyze satisfaction and loyalty of employees that have completed an e-learning course and how e-learning programs contribute to improve CRM activities (customer relationship management) of the companies. Our study will be focused on Kano's model (1984) to evaluate how e-learning influences the CRM process. As CRM is based on strategies and technologies which main goal is to improve business relationships with customers, definetely e-learning programs for employees have impact on CRM activities. E-learning encourages participants to improve their skills, offering them a comprehensive learning. This method of learning determines employees to practice and apply what they learn in daily tasks and make better interactions with customers. Kano analysis was designed to better understand customer needs that contribute to satisfaction and loyalty. The model consists of 5 unique types of requirements: performance (originally called one-dimensional), basic (originally called must-be's), excitement (originally called attractive or delighters), indifferent and reverse. The research will be based on a questionnaire inspired from Kano's survey created to represent a requirement by using two strategic questions, a functional and dysfunctional representation of the requirements. As e-learners want more flexibility and affordability, it is important to investigate their online needs and level of e-satisfaction and e-loyalty.
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Mabe, Olivia, Carson McGuire, Nicholas Mazzoleni, and Matthew Bryant. "Variable-Stiffness Power Take-Off System for Broadband Ocean Wave Energy Point Absorbers." In ASME 2024 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/smasis2024-139877.
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Abstract This research presents a biologically-inspired method for harvesting energy from ocean waves using a variable-stiffness power take-off mechanism with a point absorber. A key limitation in current approaches to wave energy converter (WEC) design is that most WECs can only be tuned to perform optimally at one chosen period. In practice, ocean wave conditions are continually changing, causing the WECs to perform suboptimally throughout much of their operating time. As a result, WEC designs with variable, controllable resonant periods should be considered. The power take-off mechanism explored in this work is a fiber-reinforced elastic hose that acts as a pump: when stretched axially, the internal volume of the pump decreases, jetting fluid out, and when allowed to contract, the internal volume increases, drawing fluid back into the pump. This pumping action spins a turbine which drives a generator to produce electricity. The design of the pump itself draws inspiration from the helical arrangement of collagen fibers in the mantles of squids, which allows squids to be one of the fastest aquatic invertebrates when jetting. This type of elastic fiber-reinforced pump has a pressure-dependent variable stiffness property that, within this WEC system, can be controlled by a variable gearing device between the turbine and generator. The ability to control the pump stiffness opens the opportunity to adapt the WEC natural frequency to match the frequency of the instantaneous driving waves, allowing the WEC to operate optimally at a broader range of wave states. This research investigates the effects of controlled variable stiffness on the dynamics and performance of this pumping wave energy point absorber by developing dynamic system modeling and fluid flow modeling, as well as experimentally validating these models and demonstrating controllable variable stiffness on a lab-scale pump prototype.
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Labenda, Patrick, Marc Neumann, and Tim Sadek. "Wheeled, Kinematically Redundant Locomotion System for Mobility-Oriented Research and Experimentation." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47194.
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Mobile robots for inspection and surveillance of hard-to-reach and hazardous areas e.g. resulting from a building collapse in the course of a natural or man-made catastrophe have to possess enhanced rough terrain mobility capabilities. First, they must be able to navigate through a given environment and to avoid insurmountable obstacles. Second, they must have the ability to traverse different forms of ground without getting immobilized by a loss of traction. Third, they must be able to negotiate a wide spectrum of obstacles including e.g. wide gaps and high steps. These abilities can be described as a mobile robots performance indices “maneuverability”, “trafficability” and “terrainability”. As a consequence, mobile robot concepts for disaster control and search-and-rescue tasks always have to be developed and evaluated with regard to these performance indices. In principle, considerable potentials with regard to mobility in unstructured and rough environments offer kinematically redundant locomotion systems equipped with powered wheels or tracks which are inspired by their biological archetype snake. These potentials are based on the systems’ snake-like; modular design as well as their given kinematic redundancy. Due to their slender, modular and flexible design the systems are basically able to travel and maneuver through noticeable narrow passes and tunnels. Further on, their kinematic redundancy can be used for a purposeful posture and terrain adaptation to safeguard traction and the system’s trafficability, respectively. Finally, the systems’ modular and articulated design, both, can be used to achieve an outstanding terrainability and to be able to negotiate remarkable obstacles. The described and expected potentials of kinematically redundant locomotion systems have to be investigated in detail as well as evaluated in practice. To be able to do so, a demonstrator has been developed and implemented for intense mobility-oriented research and experimentation. The mobile robot and first experimental results are described in the paper at hand. The system stands out especially due to an innovative sensory for slip and contact force detection.
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Hewing, Lukas, Dennis Gramlich, Chris Verhoek, et al. "Enhancing the Guidance, Navigation and Control of Autonomous Parafoils using Machine Learning Methods." In ESA 12th International Conference on Guidance Navigation and Control and 9th International Conference on Astrodynamics Tools and Techniques. ESA, 2023. http://dx.doi.org/10.5270/esa-gnc-icatt-2023-135.
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Artificial Intelligence techniques have developed into a transformative force across many industries. Their industrial adaption in aerospace Guidance, Navigation and Control (GNC) systems, however, has been rather limited to date. The “Artificial Intelligence for Guidance, Navigation and Control” (AI4GNC) project led by SENER Aeroespacial and funded by the European Space Agency (ESA) investigates the potential of several machine learning methods to enhance the performance and robustness of an aerospace GNC design. As a specific use case, we consider the descent and landing phase of an autonomous parafoil-guided return vehicle, inspired by the ESA Space Rider whose GNC software is developed by SENER. On this benchmark scenario, we demonstrate how a combination of machine learning methods can be used to significantly improve the performance of a baseline GNC design and gain insight into the system behaviour and its sensitivities. We investigate several complementing technologies at different hierarchical levels in the GNC and its design process and demonstrate the gained advantages on a full-complexity functional simulator, representative of industrial practice. At the intersection of guidance and controls, the project employs data-driven system identification to capture closed-loop system behaviour to serve as a basis for higher-level planning and guidance algorithms. Such models are typically cumbersome to derive from first principles since flight software, including lower-level controllers, actuator saturations and similar effects are part of the loop. In particular, neural networks which have been trained with an efficient deep-learning-based system identification method are used to augment an idealized baseline model which assumes perfect lower-level control. This is shown to effectively reduce residual errors while extending the region of validity compared to alternative linear variants and thereby provide an accurate system description to higher-level planning algorithms. Within the guidance layer, a robust trajectory planning technique is developed based on onboard optimization which can take numerous sources of uncertainty into account, such as wind conditions or uncertain system dynamics. The planning method relies on a novel extension of differential dynamic programming using results from robust control to formulate a sequence of semidefinite programs to find feedback & feedforward policies that efficiently steer the system despite the adversarial action of uncertainties. Extensive evaluations on the functional simulator show a clear hierarchy of achieved performances: (nominal) optimization-based guidance outperforms the baseline solution, while the novel robust variant shows the strongest performance. We furthermore present a developed GNC auto-tuner tool that utilizes Bayesian optimization (BO) to efficiently tune high-level GNC parameters for complex natural language constraints or objectives formulated in terms of temporal logic expressions. The use of Bayesian optimization enables a data-efficient stochastic black-box optimization of several key GNC parameters using a small number of (simulation) experiments. We further demonstrate that it is straightforward to employ the techniques in an antagonistic fashion leading to an effective worst-case-analysis tool. Our results show how such temporal logic-constrained BO can be efficiently used to improve system performance, explore parameter interdependencies and provide valuable insights to support the tuning of complex GNC systems. Finally, all developments are presented in a unified perspective highlighting synergies and sketching a general framework in which AI and data-driven techniques can contribute to the GNC discipline. This particularly highlights the increasingly central position of simulations, not only as a verification and validation tool but rather as an integral part of the GNC design process itself. With this, we envision a viable path forward towards the integration of AI techniques towards industrial practice, and towards realizing its considerable potential for the field.
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Vicente Junior, Marcelo, Luiz Valdo Alves Maciel Filho, Amilton Arruda, and Thamyres Oliveira Clementino. "Inspirations for more sustainable practices in Design: potential of biomimicry, material selection and 3D technology." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003361.
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Several reflections arise in the field of design when it comes to the materialization of projects, covering artifacts, systems and others. The debate becomes pertinent due to the Designer's connection to the production chain, since their professional practice generates diverse repercussions for the well-being of living beings and ecosystems on the planet. For this, it is up to the Designer to redefine their practices, and more deeply, their way of thinking; with this, the article aims to contribute to the ongoing paradigm shift. In this context, the article presents analytical and critical perspectives on projects by Ross Lovegroove, Arturo Tedeschi and Neri Oxman; professionals who have in their work the exploration of high-performance materials, alongside with technologies and creative strategies that are at the threshold of human capacity (Arruda, 2022). For the study, projects of designers who seek to carry out the insertion of new materials, technologies and design approaches, such as parametric modeling, will be analyzed. As an example, the Aguahoja project by Neri Oxman developed in 2014, in which it was necessary to develop its own manufacturing platform, generating bio-inspired construction strategies, materialized by software capable of building rigid and flexible structures, can be mentioned. Ross Lovegroove also explores unconventional strategies in the Project Ergo, using highly sustainable material selection approaches, and inspirations from nature's shapes for the human anatomy. Arturo Tedeschi’s “Horizon” Project, for example, features both high and low tech, relying on 3D printing and Murano glass crafts, algorithmic design, and LED technology. Based on the exposed projects, we reinforce: 1) the importance and potential of nature's creative and strategic principles for solving humanity's problems, by uniting functionality, aesthetics and sustainability; 2) the relevance of questioning the role of technology, and applying it to visualize and materialize bioinspirations, as well as to build tools and mechanisms to generate autonomy in creative processes, generating advances in the area; and finally 3) urge the designer to solidify his repertoire about the possibilities related to the selection of materials, as well as the perception of their strengths and weaknesses, also contemplating the immaterial contexts embedded in these raw materials; thus being able to contribute even more to multidisciplinary processes.