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Academic literature on the topic 'Adaptability metrics'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Adaptability metrics"

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van Haastrecht, Max, Bilge Yigit Ozkan, Matthieu Brinkhuis, and Marco Spruit. "Respite for SMEs: A Systematic Review of Socio-Technical Cybersecurity Metrics." Applied Sciences 11, no. 15 (July 27, 2021): 6909. http://dx.doi.org/10.3390/app11156909.

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Cybersecurity threats are on the rise, and small- and medium-sized enterprises (SMEs) struggle to cope with these developments. To combat threats, SMEs must first be willing and able to assess their cybersecurity posture. Cybersecurity risk assessment, generally performed with the help of metrics, provides the basis for an adequate defense. Significant challenges remain, however, especially in the complex socio-technical setting of SMEs. Seemingly basic questions, such as how to aggregate metrics and ensure solution adaptability, are still open to debate. Aggregation and adaptability are vital topics to SMEs, as they require the assimilation of metrics into an actionable advice adapted to their situation and needs. To address these issues, we systematically review socio-technical cybersecurity metric research in this paper. We analyse aggregation and adaptability considerations and investigate how current findings apply to the SME situation. To ensure that we provide valuable insights to researchers and practitioners, we integrate our results in a novel socio-technical cybersecurity framework geared towards the needs of SMEs. Our framework allowed us to determine a glaring need for intuitive, threat-based cybersecurity risk assessment approaches for the least digitally mature SMEs. In the future, we hope our framework will help to offer SMEs some deserved respite by guiding the design of suitable cybersecurity assessment solutions.
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Egilmez, M. Mert, Jong Min Park, Alparslan Emrah Bayrak, Bogdan I. Epureanu, and Panos Y. Papalambros. "Adaptability of modular vehicle fleets to changing supply route characteristics." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 17, no. 4 (September 10, 2019): 327–38. http://dx.doi.org/10.1177/1548512919874127.

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Modularity in vehicle systems can reduce total lifecycle cost and improve adaptability for ground military fleets. This paper quantifies the adaptability of vehicle fleets to changes in supply route characteristics defined by route distance, threat level, and damage probability. Each characteristic is discretized into three levels, and the adaptability analysis is performed over 27 scenarios with significantly different characteristics. Fleet adaptability is measured in terms of two fleet-level metrics, namely the total fleet mass (which is correlated to the total cost) and the personnel requirements. Results show that modularity improves adaptability in terms of total fleet mass compared with a conventional approach, while providing a comparable adaptability in terms of personnel requirements. A sensitivity analysis is also performed on module characteristics of the modular fleet. This analysis shows that changes in relatively small parts of the system can change the values of performance metrics substantially.
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Peng Ye, Youcong Ni, Linlin Zhang, Kai Zhao, and Ming Hu. "Adaptability Evaluation of Aspect-Oriented Software Architecture Using Quantitative Metrics." International Journal of Advancements in Computing Technology 5, no. 4 (February 28, 2013): 216–23. http://dx.doi.org/10.4156/ijact.vol5.issue4.27.

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Ismail, Suryani, Fatihah Mohd, Masita Abdul Jalil, and Wan M. N. Wan Kadir. "Development metrics measurement level for component reusability evaluation approach (CREA)." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (December 1, 2019): 5428. http://dx.doi.org/10.11591/ijece.v9i6.pp5428-5435.

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The study of software component reuse is rising in software development field and one of the methods used to reduce the production cost and time. Among the problems faced by software developers in component reuse, is the difficulty to determine which set of components are suitable to use in new software development. Thus, this study was conducted with the purpose; to define the characteristics of software component reusability evaluation approach (CREA) based on experienced software developer’s feedback, and to estimate the measurement level for each of the predefined metric. Three characteristics and sub characteristics, namely understandability (documentation level and observality), adaptability (customizability), and portability (external dependency) were identified that have been used to develop the metrics for CREA. The result for all metrics will be used as an input to the fuzzy inference system (FIS) for measuring the reusability level of the component.
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Resick, Christian J., Toshio Murase, Wendy L. Bedwell, Elizabeth Sanz, Miliani Jiménez, and Leslie A. DeChurch. "Mental model metrics and team adaptability: A multi-facet multi-method examination." Group Dynamics: Theory, Research, and Practice 14, no. 4 (2010): 332–49. http://dx.doi.org/10.1037/a0018822.

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Amsallem, Myriam, Marie Aymami, William Hiesinger, Sanford Zeigler, Kegan Moneghetti, Michael Marques, Jeffrey Teuteberg, Richard Ha, Dipanjan Banerjee, and François Haddad. "Right ventricular load adaptability metrics in patients undergoing left ventricular assist device implantation." Journal of Thoracic and Cardiovascular Surgery 157, no. 3 (March 2019): 1023–33. http://dx.doi.org/10.1016/j.jtcvs.2018.08.095.

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French, Sarah, Myriam Amsallem, Nadia Ouazani, Shufeng Li, Kristina Kudelko, Roham T. Zamanian, Francois Haddad, and Lorinda Chung. "Non-invasive right ventricular load adaptability indices in patients with scleroderma-associated pulmonary arterial hypertension." Pulmonary Circulation 8, no. 3 (June 25, 2018): 204589401878826. http://dx.doi.org/10.1177/2045894018788268.

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Scleroderma-associated pulmonary arterial hypertension (SSc-PAH) is associated with worse outcome than idiopathic pulmonary arterial hypertension (IPAH), potentially due to worse right ventricular adaptation to load as suggested by pressure–volume loop analysis. The value of non-invasive load-adaptability metrics has not been fully explored in SSc-PAH. This study sought to assess whether patients with incident SSc-PAH have worse echocardiographic load-adaptability metrics than patients with IPAH. Twenty-two patients with incident SSc-PAH were matched 1:1 with IPAH based on pulmonary vascular resistance. Echocardiographic load-adaptability indices were divided into: surrogates of ventriculo-arterial coupling (e.g. right ventricular area change/end-systolic area), indices reflecting the proportionality of load adaptation (e.g. tricuspid regurgitation velocity-time integral normalized for average right ventricular radius), and simple ratios (e.g. tricuspid annular plane systolic excursion/right ventricular systolic pressure). The prognostic value of these indices for clinical worsening (i.e. death, transplant, or hospitalization for heart failure) at one year was explored. The two groups were comprised of patients of similar age, with similar cardiac index, pulmonary resistance, capacitance and NT-proBNP levels ( p > 0.10). There was no difference in baseline right ventricular dimension, function or load-adaptability indices. At one year, eight (36.4%) SSc-PAH patients had experienced clinical worsening (eight hospitalizations and two deaths) versus one hospitalization in the IPAH group. Load adaptation at one year in survivors was not worse in SSc-PAH ( p > 0.33). Patients with IPAH responded better to therapy than SSc-PAH in terms of reduction of right ventricular areas at one year ( p < 0.05). Right ventricular load-adaptability echocardiographic indices do not appear to capture the increased risk of negative outcomes at one year associated with SSc-PAH.
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Krause, Karolin Rose, Sophie Chung, Maria da Luz Sousa Fialho, Peter Szatmari, and Miranda Wolpert. "The challenge of ensuring affordability, sustainability, consistency, and adaptability in the common metrics agenda." Lancet Psychiatry 8, no. 12 (December 2021): 1094–102. http://dx.doi.org/10.1016/s2215-0366(21)00122-x.

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Krause, J., M. Cornelius, P. Goldsmith, M. Mzungu, C. Kambani-Banda, and C. Tamimie. "Soy dairy performance metrics." African Journal of Food, Agriculture, Nutrition and Development 21, no. 105 (December 24, 2021): 19016–39. http://dx.doi.org/10.18697/ajfand.105.21245.

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Soybean (Glycine max (L. Merr.) has been a crop of interest to address both poverty and malnutrition in the developing world because of its high levels of both protein and oil, and its adaptability to grow in tropical environments. Development practitioners and policymakers have long sought value added opportunities for local crops to move communities out of poverty by introducing processing or manufacturing technologies. Soy dairy production technologies sit within this development conceptual model. To the researchers’ knowledge, no research to date measures soy dairy performance, though donors and NGOs have launched hundreds of enterprises over the last 18 years. The lack of firm-level data on operations limits the ability of donors and practitioners to fund and site sustainable dairy businesses. Therefore, the research team developed and implemented a recordkeeping system and training program first, as a 14-month beta test with a network of five dairies in Ghana and Mozambique in 2016-2017. Learning from the initial research then supported a formal research rollout over 18 months with a network of six different dairies in Malawi and key collaboration from USAID’s Agricultural Diversification activity. None of the beta or rollout dairies kept records prior to the intervention. The formal rollout resulted in a unique primary dataset to address the soy dairy performance knowledge gap. The results of analysis show that the dairies, on average, achieve positive operating margins of 61%, yet cannot cover the fixed costs associated with depreciation, amortization of equipment and infrastructure, working capital, marketing and promotion, and regulatory compliance. The enterprises in our sample operate only at 9% of capacity, which limits their ability to cover the normal fixed costs associated with the business. The challenge is not the technology itself, as when operated, it produces a high-quality dairy product. The challenges involve a business that requires too much capital for normal operations relative to a nascent and small addressable market.
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Ghareb, Mazen Ismaeel, and Garry Allen. "An empirical evaluation of metrics on aspect-oriented programs." UHD Journal of Science and Technology 3, no. 2 (October 23, 2019): 74. http://dx.doi.org/10.21928/uhdjst.v3n2y2019.pp74-86.

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The quality evaluation of software metrics measurement is considered as the primary indicator of imperfection prediction and software maintenance in various empirical studies of software products. However, there is no agreement on which metrics are compelling quality pointers for new software development approaches such as aspect-oriented programming (AOP) techniques. AOP intends to enhance programming quality by providing fundamentally different parts of the systems, for example, pointcuts, advice, and intertype relationships. Hence, it is not evident if quality characteristics for AOP could be extracted from direct expansions of traditional object-oriented programming (OOP) measurements. Then again, investigations of AOP do regularly depend on established static and dynamic metrics measurement; notwithstanding the late research of AOP in empirical studies, few analyses been adopted using the International Organization for Standardization 9126 quality model as useful markers of flaw inclination in this context. This paper examination we have considered different programming quality models given by various authors every once in a while and distinguished that adaptability was deficient in the current model. We have testing 10 projects developed by AOP. We have used many applications to extract the metrics, but none of them could extract all AOP Metrics. It only can measure some of AOP Metrics, not all of them. This study investigates the suitable framework for extract AOP Metrics, for instance, static and dynamic metrics measurement for hybrid application systems (AOP and OOP) or only AOP application.
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Dissertations / Theses on the topic "Adaptability metrics"

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Cervi, Cristiano Roberto. "Rep-Index : uma abordagem abrangente e adaptável para identificar reputação acadêmica." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/90440.

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A tarefa de avaliar a produção científica de um pesquisador é fortemente baseada na análise de seu currículo. É o que fazem, por exemplo, as agências de fomento à pesquisa e desenvolvimento ou comissões de avaliação, quando necessitam considerar a produção científica dos pesquisadores no processo de concessão de bolsas e auxílios, na seleção de consultores e membros de comitês, na aprovação de projetos ou simplesmente para avaliar o conceito de um programa de pós-graduação. Nesse contexto, a modelagem de perfis de pesquisadores é tarefa fundamental, especialmente quando se quer avaliar a reputação dos pesquisadores. Isto pode ocorrer por meio de um processo de análise da trajetória de toda a carreira científica do pesquisador. Tal processo envolve não somente aspectos relacionados a artigos ou livros publicados, mas também por outros elementos inerentes à atividade de um pesquisador, como orientações de trabalhos de mestrado e de doutorado; participação em defesas de mestrado e de doutorado; trabalhos apresentados em conferências; participação em projetos de pesquisa, inserção internacional, dentre outros. O objetivo deste trabalho é especificar um modelo de perfil de pesquisadores (Rep- Model) e uma métrica para medir reputação acadêmica (Rep-Index). O processo de modelagem do perfil envolve a definição de quais informações são relevantes para a especificação do perfil e as apresenta por meio de 18 elementos e 5 categorias. O processo para medir a reputação do pesquisador é definido por uma métrica que gera um índice. Esse índice é calculado mediante a utilização dos elementos constantes no perfil do pesquisador. Para avaliar a abordagem proposta na tese, diversos experimentos foram realizados. Os experimentos envolveram a avaliação dos elementos do Rep-Model por meio de análise de correlação e por algoritmos de mineração de dados. O Rep-Index também foi avaliado e correlacionado com duas métricas amplamente utilizadas na comunidade científica, o h-index e o g-index. Como baseline, foram utilizados todos os pesquisadores do CNPq das áreas de Ciência da Computação, Economia e Odontologia. O trabalho desenvolvido nesta tese está inserido no contexto da identificação da reputação de pesquisadores no âmbito acadêmico. A abordagem desta tese tem como premissa ser abrangente e adaptável, pois envolve a vida científica do pesquisador construída ao longo de sua carreira científica e pode ser utilizada em diferentes áreas e em diferentes contextos.
The task of evaluating the scientific production of a researcher is based strongly on the analysis of their curriculum. It's what makes the agencies for research support or evaluation committees, when they need to consider the scientific production of researchers in the process of awarding grants and aid in the selection of consultants and committee members in approving projects or simply to assess the concept of a program graduate. In that context, the modeling of profiles of researchers is fundamental task especially when one wants to evaluate the reputation of the researchers. This can occur by means of a process of analysis of the trajectory of all the scientific career of the researcher. Such process involves not only aspects related to papers or books, but also other elements inherent in the activity of a researcher, as orientations of master’s degree and doctorate; participation in defense of master's and doctoral degrees; papers presented in conferences, participation in research projects, international integration, among others. This proposal specifies a profile template for researchers (Rep-Model) and a metric to measure academic reputation (Rep-Index). The profile modeling process involves define which information is relevant to the specification of the profile and shows through 18 elements and 5 categories. The process for measuring researcher's reputation is defined by a metric that generates an index. This index is calculated by using the information contained in the profile of the researcher. To evaluate the approach proposed in the thesis, extensive experiments were conducted. The experiments involved the evaluation of Rep-Model by means of correlation analysis and data mining algorithms. The Rep-Index was also evaluated and correlated with two metrics widely used in the scientific community, the h-index and gindex. As a baseline, all of CNPq researchers in the areas of Computer Science, Economics and Dentistry were used. The work in this thesis is set in the context of identifying the reputation of researchers within the academic sphere. The approach of this thesis is premised be comprehensive and adaptable, because it involves the life science researcher built throughout his scientific career and can be used in different research areas and in different contexts.
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Erasmus, Cathariena Petronella. "The role of emotional intelligence in the adaptation of adolescent boys in a private school." Diss., 2007. http://hdl.handle.net/10500/2203.

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The lack of emotional intelligence can be linked to problem behaviour in adolescent boys between 14 and 18 years of age. The concepts of emotions, emotional intelligence, adolescents and adaptation formed the focal point of this research. Profiles were compiled from data obtained from the Q-metrics emotional intelligence questionnaire, the Sacks Sentence Completion Test, an unstructured interview and the projection media (Draw a person). Detailed information with regards to risk and protective factors for each adolescent boy were provided. The above techniques and measuring instruments provided a holistic picture of the adolescent's level of emotional functioning as well as hypotheses for future therapy. The importance of the father-son relationship in the adolescent years was stressed. Early identification of adolescent boys in a private school (with low levels of emotional development) enables the school to implement programmes aimed at developing emotional intelligence.
Educational Studies
M. Ed.
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Book chapters on the topic "Adaptability metrics"

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Mirandola, Raffaela, Diego Perez-Palacin, Patrizia Scandurra, Michele Brignoli, and Andrea Zonca. "Business Process Adaptability Metrics for QoS-Based Service Compositions." In Service Oriented and Cloud Computing, 110–24. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24072-5_8.

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Skourdoumbis, Andrew, and Shaun Rawolle. "Pedagogic Adaptability." In The Metrics of Teacher Effectiveness and Teacher Quality Research, 117–30. Routledge, 2020. http://dx.doi.org/10.4324/9781003026716-8.

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Eldridge, Hannah Vandegrift. "Klopstock’s Meters as Embodied Meaning." In Metrical Claims and Poetic Experience, 56–95. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192859211.003.0003.

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Abstract This chapter introduces Friedrich Gottlieb Klopstock for unfamiliar audiences and then argues that Klopstock’s metrical theory and practice show how a historically grounded, non-scientistic metrics can illuminate and enrich our own experiences of meter and thus of reading poetry more broadly. Klopstock provides a vocabulary and categories of analysis to understand the complex interaction between poet, meter, content, and listener. The chapter considers his interwoven metrical theories, poems about meter, and poems on other topics, culminating in a reading of the radical metrical innovation of the final canto of his epic Der Messias. It shows that Klopstock’s sense of meter as communicating meaning includes the way metrical association and pattern recognition build up across a poem, such that the effects of meter are enhanced (rather than disproved) by their adaptability.
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Gonçalves, Carlos. "Models, Methods, and Metrics to Measure Socioeconomic Resilience." In Handbook of Research on Methods and Tools for Assessing Cultural Landscape Adaptation, 346–67. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4186-8.ch014.

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This chapter aims to discuss concepts and methods to measure the landscape resilience of urban systems and test the indicators framework in the Portuguese regional context. The objective is to measure the performance and the direction of the urban changes in different phenomena, as well as to evaluate the level of urban systems preparation for a desired and undesired change adaptability. The approach to these issues is analyzed in the literature, dividing the aforementioned analysis into the resilience of the economic base, of the social structure, and of the urban form. In brief, the chapter meets three objectives: firstly, defining the framework of principles more commonly associated with urban resilience; secondly, providing a selection of indicators that embodies the different proposals of measurement; and thirdly, applying the indicator matrix to two Portuguese case studies (Caldas da Rainha and Évora urban systems).
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Sigamani, Rama Mercy Sam. "Adoption of Machine Learning With Adaptive Approach for Securing CPS." In Handbook of Research on Machine and Deep Learning Applications for Cyber Security, 388–415. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9611-0.ch018.

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The cyber physical system safety and security is the major concern on the incorporated components with interface standards, communication protocols, physical operational characteristics, and real-time sensing. The seamless integration of computational and distributed physical components with intelligent mechanisms increases the adaptability, autonomy, efficiency, functionality, reliability, safety, and usability of cyber-physical systems. In IoT-enabled cyber physical systems, cyber security is an essential challenge due to IoT devices in industrial control systems. Computational intelligence algorithms have been proposed to detect and mitigate the cyber-attacks in cyber physical systems, smart grids, power systems. The various machine learning approaches towards securing CPS is observed based on the performance metrics like detection accuracy, average classification rate, false negative rate, false positive rate, processing time per packet. A unique feature of CPS is considered through structural adaptation which facilitates a self-healing CPS.
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Delgado, José C. "The Role of Compliance and Conformance in Software Engineering." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 392–420. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6026-7.ch017.

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One of the most fundamental aspects of software engineering is the ability of software artifacts, namely programs, to interact and to produce applications that are more complex. This is known as interoperability, but, in most cases, it is dealt with at the syntactic level only. This chapter analyzes the interoperability problem from the point of view of abstract software artifacts and proposes a multidimensional framework that not only structures the description of these artifacts but also provides insight into the details of the interaction between them. The framework has four dimensions (lifecycle, concreteness level, concerns, and version). To support and characterize the interaction between artifacts, this chapter uses the concepts of compliance and conformance, which can establish partial interoperability between the artifacts. This reduces coupling while still allowing the required interoperability, which increases adaptability and changeability according to metrics that are proposed and contributes to a sustainable interoperability.
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Delgado, José C. "The Role of Compliance and Conformance in Software Engineering." In Standards and Standardization, 333–60. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8111-8.ch017.

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One of the most fundamental aspects of software engineering is the ability of software artifacts, namely programs, to interact and to produce applications that are more complex. This is known as interoperability, but, in most cases, it is dealt with at the syntactic level only. This chapter analyzes the interoperability problem from the point of view of abstract software artifacts and proposes a multidimensional framework that not only structures the description of these artifacts but also provides insight into the details of the interaction between them. The framework has four dimensions (lifecycle, concreteness level, concerns, and version). To support and characterize the interaction between artifacts, this chapter uses the concepts of compliance and conformance, which can establish partial interoperability between the artifacts. This reduces coupling while still allowing the required interoperability, which increases adaptability and changeability according to metrics that are proposed and contributes to a sustainable interoperability.
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Bora, Abhijit, and Tulshi Bezboruah. "Some Aspects of QoS for High Performance of Service-Oriented Computing in Load Balancing Cluster-Based Web Server." In Handbook of Research on Recent Developments in Intelligent Communication Application, 557–92. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1785-6.ch021.

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Quality estimation for viability of data processing and delivering through the paradigm of service oriented computing and load balancing cluster based web server for high performance of services against extensive load of consumers is an important concern in the domain of grid and distributed computing, big data analysis and internet of things. As such, this chapter proposes a quality estimation framework considering a prototype architecture for multi service multi-functional web services deploying in load balancing cluster based Apache Tomcat web server and developing a clinical database for processing disease related queries through the architecture. The high quality of service is monitored by generating extensive load of users over the system through Mercury LoadRunner load testing tool. In this chapter, the authors will discuss the methodology to study the quality of service, recorded quality metrics against different load of users and the statistical analysis along with results to establish the feasibility, applicability and adaptability of proposed quality estimation framework.
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Crossen, Dennis M. "Student Retention Performance Using Absorbing Markov Chains." In Advances in Business Information Systems and Analytics, 293–323. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0654-6.ch015.

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Performance models are well established in the literature. More specifically, student performance has been of growing concern at all levels. To confront the challenges, researchers have collected data, monitored performance criterion, developed quantitative models, and analyzed patterns to formulate theories and adaptive measures. At the university level, many students' performance deficiencies are keenly noticed and actualized for a variety of reasons. Some reasons may include transition from a home-reporting educational environment to an autonomous setting; lack of a friendly support system; or a host of behavioral circumstances which exacerbate latent academic deficits. One such technique for reviewing student performance can be employed and analyzed using absorbing Markov chains. The use of Markov Chains can provide quantitative information such the characterization potential delays (latency points) within and throughout the system, prediction of probabilistic metrics which define transitions between each stage of a defined state, and adaptability options for enrollment outcomes for use by school administrators. Furthermore, Markov chains can be employed to determine the impact on system resources such as limitations in faculty schedules, classroom assignments, and technology availability. Managers, administrators and advisors may find this information useful when notified of such limitations. This paper is of value to a broad audience such as researchers, managers, and administrators since it augments standard approaches of the Markov model. The blend of stochastic mathematics, applications of stochastic methods and retention theory, as well as the inclusion of adaptive sensitivity analysis are effective performance measures. Therefore, applications in Markov chains and subsequent forecasting models are of contemporary values in educational performance. Each of these concepts and methods contribute to a broader consideration of Markov properties in a branch of mathematics known as Markov Decision Processes (MDP). These types of processes allow researchers the ability to adjust parameters based on rewards, sets of actions, and discount factors. The cases outlined in this paper may be helpful when considering reductions in recidivism rates, improving policies to diminish recidivism, and increasing enrollment options using Markov analysis.
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Hand, Laura Elizabeth. "Practical and Case-Based Methods in Teaching and Learning." In Education 3.0 and eLearning Across Modalities, 148–79. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8032-5.ch008.

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This chapter (re)introduces practical learning methods to the reader. Focusing on multimodality, authenticity, engagement, and environmental adaptability, this chapter breaks down practicality in a rapidly changing learning environment and provides a brief overview of three practical approaches. Combining industry-developed knowledge of agile strategies with experiential knowledge of frontline, metric-driven innovations in teaching, learning, and eLearning, this chapter also showcases blueprints for establishing a sustainable foundation for the growing architecture of eLearning in the US and internationally. The chapter is designed to model the chapter's content for the reader, actively involving readers across modalities in the processes of refining an understanding of practical methods and approaches, including (1) case-based learning, (2) active learning, and (3) communicative learning (as a corollary to communicative language teaching).
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Conference papers on the topic "Adaptability metrics"

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Perez-Palacin, Diego, Raffaela Mirandola, and José Merseguer. "Software architecture adaptability metrics for QoS-based self-adaptation." In the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2000259.2000288.

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Masciadri, Laura, and Claudia Raibulet. "Frameworks for the Development of Adaptive Systems: Evaluation of Their Adaptability Feature Through Software Metrics." In 2009 Fourth International Conference on Software Engineering Advances (ICSEA). IEEE, 2009. http://dx.doi.org/10.1109/icsea.2009.51.

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Kanner, Oren Y., and Aaron M. Dollar. "Optimization of Coupling Ratio and Kinematics of an Underactuated Robot Leg for Passive Terrain Adaptability." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70741.

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This paper investigates how the passive adaptability of an underactuated robot leg to uneven terrain is affected by variations in design parameters. In particular, the ratio between the joint torques, the ratio between the link lengths, and the initial joint rest angles are varied to determine configurations that allow for maximum terrain roughness adaptability while minimizing the transmission of disturbance forces to the body. The results show that a proximal/distal joint torque coupling ratio of 1.58, proximal/distal leg length ratio of 0.5, and an initial proximal joint angle of −49 degrees maximize the terrain variability over which the robot can remain stable by exerting a near-constant vertical reaction force while minimizing lateral force and moment disturbances. In addition, the spring stiffness ratio allows for a tradeoff to be made between the different performance metrics.
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Michaloski, John, Murat Aksu, Craig Schlenoff, Rafael C. Cardoso, and Michael Fisher. "Agile Tasking of Robotic Kitting." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-73683.

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Abstract Manufacturers are looking for intelligent solutions to increase quality and productivity. Smart manufacturing envisions production empowered by autonomous robots that can complete tasks intelligently, with the focus on adaptability, flexibility, and versatility. In such systems, agile tasking plays an important role, as it is critical for robots to be quickly tasked to perform an operation. However, task agility is not limited to the speed of tasking robots, but also includes other features such as handling task failure, planning for new goals, interchangeability of data and task plans between different robots, and adapting to dynamic environments. Because robot task agility requires sophisticated dynamic and continuous planning and replanning, the Gwendolen agent programming language was chosen to evaluate as the agile robot planner. In this paper, we develop a manufacturing kitting case study and provide a list of kitting performance metrics to evaluate performance. The case study uses Gwendolen, Canonical Robot Command Language (CRCL), Robot Operating System (ROS) and Gazebo software components in combination to simulate and evaluate kitting. We explore the strengths of Gwendolen agile tasking to assess the operation against the kitting performance metrics.
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Mu, Dongyan, Fu Zhao, Thomas P. Seager, and P. Suresh C. Rao. "Integration of Resilience Perspective Into Sustainability Assessment of Biofuel Production." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28148.

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The recent boom and collapse of the corn ethanol industry calls into question on the long-term sustainability of biofuels and traditional approaches to biofuel systems design. Compared with petroleum based transportation fuel production, biofuel production systems are so closely connected and heavily influenced by natural systems that they have to deal with high degrees of complexity, variability and unpredictability. Accordingly, a fundamental change in design philosophy is necessary for long-term viability of biofuel production. The new approach requires the system to be designed not for a narrowly defined efficiency (both economic and ecological), but for resilience (indicated by characteristics such as diversity, efficiency, cohesion and adaptability) to absorb unexpected disruptions and changes. Also, biofuel systems must be endowed with transformability to allow for “creative destruction” when current transportation fuels are eventually supplanted by new vehicle technologies and/or mode of transportation. This paper addresses important concepts in the design of coupled engineering-ecological systems (i.e. resilience, adaptability and transformability) that determine future system trajectories at multiple scales. In addition, several emerging biofuel conversion technologies are examined from a resilience perspective. It is suggested that the thermo-chemical conversion technologies may be preferable for biofuel production from resilience aspect. However, multiple technologies may increase the diversity and flexibility of the entire industry. This paper calls for the development of quantitative metrics for resilience assessment (similar to life cycle assessment for environmental sustainability) of industrial system, which are critical for integrating resilience into technology development and system design.
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Chinde, Venkatesh, Jeffrey C. Heylmun, Adam Kohl, Zhanhong Jiang, Soumik Sarkar, and Atul Kelkar. "Comparative Evaluation of Control-Oriented Zone Temperature Prediction Modeling Strategies in Buildings." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9864.

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Predictive modeling of zone environment plays a critical role in developing and deploying advanced performance monitoring and control strategies for energy usage minimization in buildings while maintaining occupant comfort. The task remains extremely challenging, as buildings are fundamentally complex systems with large uncertainties stemming from weather, occupants, and building dynamics. Over the past few years, purely data-driven various control-oriented modeling techniques have been proposed to address different requirements, such as prediction accuracy, flexibility, computation and memory complexity. In this context, this paper presents a comparative evaluation among representative methods of different classes of models, such as first principles driven (e.g., lumped parameter autoregressive models using simple physical relationships), data-driven (e.g., artificial neural networks, Gaussian processes) and hybrid (e.g., semi-parametric). Apart from quantitative metrics described above, various qualitative aspects such as cost of commissioning, robustness and adaptability are discussed as well. Real data from Iowa Energy Center’s Energy Resource Station (ERS) test bed is used as the basis of evaluation presented here.
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Mesina, George L. "Reformulation RELAP5-3D in FORTRAN 95 and Results." In ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-30401.

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RELAP5-3D is a nuclear power plant code used worldwide for safety analysis, design, and operator training. In keeping with ongoing developments in the computing industry, we have re-architected the code in the FORTRAN 95 language [2], the current, fully-available, ANSI standard FORTRAN language. These changes include a complete reworking of the database and conversion of the source code to take advantage of new constructs. The improvements and impacts to the code are manifold. It is a completely machine-independent code that produces machine independent fluid property and plot files and expands to the exact size needed to accommodate the user’s input. Runtime is generally better for larger input models, many prior user-reported problems have been resolved, and the program is better tested. Other impacts of code reformulation are improved code readability, reduced maintenance and development time, increased adaptability to new computing platforms, and increased code longevity. Comparison between the pre- and post-conversion code are made on the basis of programming metrics and code performance.
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Otto, Kevin, and Clas Jacobson. "Using Model Uncertainty to Reduce Verification and Validation in Noise and Vibration Problems." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70929.

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Verifying and validating that a mechanical system meets the design requirements is often a costly iterative activity. This is particularity true, for example, with complex vehicle systems that must meet noise and vibration requirements to ensure vehicle occupant comfort. We show here how analysis of model uncertainty can speed verification testing by bounding and guiding hardware prototype redesign. Vibration and acoustic model uncertainty and residual errors are estimated, and then analysis derived to ensure that this uncertainty range is covered by a planned set of design changes. We further use these results to define a complexity metric based on uncertainty, and an adaptability metric based on the domain of available adjustment. We then propose a capability metric by comparing the range of uncertainty against the range of adaptability provided. We demonstrate the efficacy with an example from the elevator system design, rapidly meeting noise and vibration requirements with only one prototype iteration.
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