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Статті в журналах з теми "Multi-domain Performance Assessment"
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Kumar, Amit, and Bikash Kanti Sarkar. "Performance Assessment of Learning Algorithms on Multi-Domain Data Sets." International Journal of Knowledge Discovery in Bioinformatics 8, no. 1 (January 2018): 27–41. http://dx.doi.org/10.4018/ijkdb.2018010103.
Повний текст джерелаАнотація:
This article describes how for the last few decades, data mining research has had significant progress in a wide spectrum of applications. Research in prediction of multi-domain data sets is a challenging task due to the imbalanced, voluminous, conflicting, and complex nature of data sets. A learning algorithm is the most important technique for solving these problems. The learning algorithms are widely used for classification purposes. But choosing the learners that perform best for data sets of particular domains is a challenging task in data mining. This article provides a comparative performance assessment of various state-of-the-art learning algorithms over multi-domain data sets to search the effective classifier(s) for a particular domain, e.g., artificial, natural, semi-natural, etc. In the present article, a total of 14 real world data sets are selected from University of California, Irvine (UCI) machine learning repository for conducting experiments using three competent individual learners and their hybrid combinations.
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Jiao, Yu, Xinpei Wang, Changchun Liu, Han Li, Huan Zhang, Ying Hu, Runkun Liu, and Bing Ji. "Heart Sound Signal Quality Assessment Based on Multi-Domain Features." Journal of Medical Imaging and Health Informatics 10, no. 3 (March 1, 2020): 736–42. http://dx.doi.org/10.1166/jmihi.2020.2926.
Повний текст джерелаАнотація:
Heart sound is one of the most important physiological signals of our body, including a large number of physiological and pathological information that can reflect the cardiovascular status. This study aims to develop a heart sound signal quality assessment method. In view of the 3 common noises (deep breath, speaking and cough) in clinical data collection, a total of 72 features were extracted from 6 domains, i.e., time, frequency, entropy, energy, high-order statistics and cyclostationarity. Then information gain, which was used as feature selection method, as well as statistical analysis were employed for dimension reduction. A SVM with radial basis kernel function was trained for final signal quality classification. The best effect was obtained on distinguishing resting from cough and the result showed that the classification performance was significantly improved after feature selection. In contrast, statistical analysis had little effect on the improvement of classification results. The best accuracy in distinguishing between resting and deep breath, resting and speaking, resting and cough is 87.73%, 95.00%, 98.64%, respectively. These results indicate that the proposed method is effective for identifying different noise states, namely cough, speaking and deep breath.
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Seelye, Adriana M., Maureen Schmitter-Edgecombe, Diane J. Cook, and Aaron Crandall. "Naturalistic Assessment of Everyday Activities and Prompting Technologies in Mild Cognitive Impairment." Journal of the International Neuropsychological Society 19, no. 4 (January 25, 2013): 442–52. http://dx.doi.org/10.1017/s135561771200149x.
Повний текст джерелаАнотація:
AbstractOlder adults with mild cognitive impairment (MCI) often have difficulty performing complex instrumental activities of daily living (IADLs), which are critical to independent living. In this study, amnestic multi-domain MCI (N = 29), amnestic single-domain MCI (N = 18), and healthy older participants (N = 47) completed eight scripted IADLs (e.g., cook oatmeal on the stove) in a smart apartment testbed. We developed and experimented with a graded hierarchy of technology-based prompts to investigate both the amount of prompting and type of prompts required to assist individuals with MCI in completing the activities. When task errors occurred, progressive levels of assistance were provided, starting with the lowest level needed to adjust performance. Results showed that the multi-domain MCI group made more errors and required more prompts than the single-domain MCI and healthy older adult groups. Similar to the other two groups, the multi-domain MCI group responded well to the indirect prompts and did not need a higher level of prompting to get back on track successfully with the tasks. Need for prompting assistance was best predicted by verbal memory abilities in multi-domain amnestic MCI. Participants across groups indicated that they perceived the prompting technology to be very helpful. (JINS, 2013, 19, 1–11)
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Ford, Thomas, David Meyer, John Colombi, Brian Scheller, and Cody Palmer. "A method of assessing the time-variant value of multi-domain architectures." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 15, no. 4 (June 29, 2016): 471–81. http://dx.doi.org/10.1177/1548512916656291.
Повний текст джерелаАнотація:
Modeling and simulation continues to improve the ability to evaluate future complex concepts and conduct early systems analysis. While the systems engineering community now advocates model-based systems engineering, the actual integrated methods and tools need to be refined. This research synthesizes descriptive architectural depictions of multi-domain (air and space) concepts, simulates these concepts through a physics-based model, collects several performance metrics, and integrates them using value-focused thinking. The proposed method enables the assessment of alternatives whose value can increase or decrease over time, depending on the design properties and operational scenario. Three surveillance concepts are proposed, made up of a low-earth orbit satellite constellation, with varying payloads, and extended by an unmanned air system flying waypoints in the area of interest. Uniquely, this method shows promise of depicting time-variant value assessments of these concepts across the simulation.
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Liu, Tao, Xing Wu, Yu Guo, and Chang Liu. "BEARING PERFORMANCE DEGRADATION ASSESSMENT BY ORTHOGONAL LOCAL PRESERVING PROJECTION AND CONTINUOUS HIDDEN MARKOV MODEL." Transactions of the Canadian Society for Mechanical Engineering 40, no. 5 (December 2016): 1019–30. http://dx.doi.org/10.1139/tcsme-2016-0084.
Повний текст джерелаАнотація:
Bearing is the key component in rotating machine. It is important to assess the performance degradation degree of bearings for making proactive maintenance and realizing near-zero downtime. A methodology based on orthogonal local preserving projection (OLPP) and continuous hidden Markov model (CHMM) is introduced in bearing performance degradation assessment. Firstly, the time domain, frequency domain and time-frequency domain features are extracted from the vibration signals. Then, the multi-dimensional features are reduced by OLPP. And the selection of the adjacent paragraph parameters in OLPP is optimized adaptively by minimizing the ratio of between-class distance to within-class distance. A CHMM is trained by using the reduced feature in normal condition. At last, the test bearing data are input into the pre-trained CHMM to calculate the log-likelihood of the test data, which can assess the performance degradation of bearings quantitatively. A bearing accelerated life experiment is performed to validate the feasibility and validity of the proposed method.
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Bethge, David, Luis Falconeri Coelho, Thomas Kosch, Satiyabooshan Murugaboopathy, Ulrich von Zadow, Albrecht Schmidt, and Tobias Grosse-Puppendahl. "Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, no. 4 (December 21, 2022): 1–30. http://dx.doi.org/10.1145/3569466.
Повний текст джерелаАнотація:
Driver emotions play a vital role in driving safety and performance. Consequently, regulating driver emotions through empathic interfaces have been investigated thoroughly. However, the prerequisite - driver emotion sensing - is a challenging endeavor: Body-worn physiological sensors are intrusive, while facial and speech recognition only capture overt emotions. In a user study (N=27), we investigate how emotions can be unobtrusively predicted by analyzing a rich set of contextual features captured by a smartphone, including road and traffic conditions, visual scene analysis, audio, weather information, and car speed. We derive a technical design space to inform practitioners and researchers about the most indicative sensing modalities, the corresponding impact on users' privacy, and the computational cost associated with processing this data. Our analysis shows that contextual emotion recognition is significantly more robust than facial recognition, leading to an overall improvement of 7% using a leave-one-participant-out cross-validation.
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Yang, Chuanlei, Hechun Wang, Zhanbin Gao, and Xinjie Cui. "Improving rolling bearing online fault diagnostic performance based on multi-dimensional characteristics." Royal Society Open Science 5, no. 5 (May 2018): 180066. http://dx.doi.org/10.1098/rsos.180066.
Повний текст джерелаАнотація:
As the main cause of failure and damage to rotating machinery, rolling bearing failure can result in huge economic losses. As the rolling bearing vibration signal is nonlinear and has non-stationary characteristics, the health status information distributed in the rolling bearing vibration signal is complex. Using common time-domain or frequency-domain approaches cannot easily enable an accurate assessment of rolling bearing health. In this paper, a novel rolling bearing fault diagnostic method based on multi-dimensional characteristics was developed to meet the requirements for accurate diagnosis of different fault types and severities with real-time computational performance. First, a multi-dimensional feature extraction algorithm based on entropy characteristics, Holder coefficient characteristics and improved generalized fractal box-counting dimension characteristics was performed to extract the health status feature vectors from the bearing vibration signals. Second, a grey relation algorithm was employed to achieve bearing fault pattern recognition intelligently using the extracted multi-dimensional feature vector. This experimental study has illustrated that the proposed method can effectively recognize different fault types and severities after integration of the improved fractal box-counting dimension into the multi-dimensional characteristics, in comparison with existing pattern recognition methods.
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Agarwal, Mansi, Maitree Leekha, Ramit Sawhney, and Rajiv Ratn Shah. "Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 346–53. http://dx.doi.org/10.1609/aaai.v34i01.5369.
Повний текст джерелаАнотація:
In times of a disaster, the information available on social media can be useful for several humanitarian tasks as disseminating messages on social media is quick and easily accessible. Disaster damage assessment is inherently multi-modal, yet most existing work on damage identification has focused solely on building generic classification models that rely exclusively on text or image analysis of online social media sessions (e.g., posts). Despite their empirical success, these efforts ignore the multi-modal information manifested in social media data. Conventionally, when information from various modalities is presented together, it often exhibits complementary insights about the application domain and facilitates better learning performance. In this work, we present Crisis-DIAS, a multi-modal sequential damage identification, and severity detection system. We aim to support disaster management and aid in planning by analyzing and exploiting the impact of linguistic cues on a unimodal visual system. Through extensive qualitative, quantitative and theoretical analysis on a real-world multi-modal social media dataset, we show that the Crisis-DIAS framework is superior to the state-of-the-art damage assessment models in terms of bias, responsiveness, computational efficiency, and assessment performance.
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Muhammad, Naik, Saeed Ullah Jan Mandokhai, Zafar Baloch, Muhammad Habib, and Shamsher Sadiq. "ASSESSMENT OF SEISMIC PERFORMANCE OF SUBMERGED FLOATING TUNNEL UNDER MULTI-SUPPORT SEISMIC EXCITATIONS." NED University Journal of Research 3, Special Issue on First SACEE'19 (December 12, 2019): 217–24. http://dx.doi.org/10.35453/nedjr-stmech-2019-0025.
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Submerged floating tunnel (SFT) is an innovative structural solution for the transportation infrastructure through sea straits, fjords, and inland waters and is an economical alternative to the long-span cable-supported bridge, immersed tunnel, or underground tunnel. An SFT is a massive cylindrical structure that floats at a certain depth below the water surface and subjected to extreme environmental conditions, such as waves, tsunamis and earthquakes. The seismic assessment of SFT supported by mooring cables, under multi-support seismic excitations needs to be evaluated in more detail. The time domain dynamic problem of SFT moored by inclined mooring cables/anchors is formulated and the geometric non-linear dynamic analysis of SFT subjected to hydrodynamic and seismic excitations is performed in this paper. The prototype of SFT to be constructed in Qindao Lake of China is analysed under multi-support seismic excitations. It was found that due to the fluid environment and flexible cables the effective seismic forces are dissipated well and SFT is stable under the spectrum compatible ground motions. However, the lateral component of seismic excitations produce larger responses compared to longitudinal one and may be critical for other case studies.
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Mukherjee, S., B. Quilty, H. Burstow, and K. Hennessy. "AB0808 IMPLEMENTING IPad-BASED ASSESSMENTS TO IMPROVE PERFORMANCE IN A PSORIATIC ARTHRITIS CLINIC AT A DISTRICT GENERAL HOSPITAL." Annals of the Rheumatic Diseases 79, Suppl 1 (June 2020): 1705.1–1706. http://dx.doi.org/10.1136/annrheumdis-2020-eular.1111.
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Background:Psoriatic Arthritis (PsA) is a complex disease with profound physical and psychosocial effects. The core domain set for this condition was updated by the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA)-Outcome Measures in Rheumatology (OMERACT) PsA working group in 20161and the TICOPA (TIght COntrol of Psoriatic Arthritis) study suggested that adopting a ‘treat-to-target’ approach aiming for Minimal Disease Activity (MDA) could result in better clinical outcomes2.Objectives:To improve assessment of all the core domains of PsA during clinic appointments and aim to treat these patients using a ‘treat-to-target’ approach to improve clinical outcomes.Methods:We were able to confirm through a retrospective baseline audit that all core domains of PsA were not being fully addressed in our general rheumatology clinics. A dedicated weekly PsA clinic was then set up at our district general hospital. Subsequently, iPads incorporated with GRAPPA App were implemented in these clinics to facilitate multi-domain assessments aiming for MDA. This was supported by a Health Education England (Wessex) Quality Improvement Fellowship that involved rheumatology and dermatology team members working in close collaboration. We then carried out a re-audit to assess our performance. Additionally we set up quarterly combined Rheumatology and Dermatology clinics for patients with severe joint and skin involvement. We also conducted a baseline survey by asking patients for their opinion about the ‘setting up of the dedicated PsA service’, the ‘quarterly combined clinics’ and the ‘use of iPad-based assessments’. We asked them to score each of these on a scale of 0 to 10, with 0 being ‘very negative’ and 10 ‘very positive’.Results:We had pragmatically set a standard of 75% for our baseline audit but we found an overall compliance of only 27.4%. There was also a wide variation between different domains with a compliance of even 0% for some. Domains that are not assessed are unlikely to be fully taken into account when deciding about treatment. The re-audit following the implementation of iPad-based assessments in dedicated PsA clinics showed a significant improvement in each of the domains and the overall compliance went up to 97.9% (Table 1). The patient survey findings were also excellent with mean scores of 9.5, 9.0 and 9.5 respectively for the three items (Figure 1).Table. 1Audit(n = 25)Re-audit(n = 29)ComplianceQ1. Documented evidence of joint count being performed?84.0%100.0%Q2. If yes, then was it a 66/68 count for swollen and tender joints?4.7%100.0%Q3. Documented evidence of dactylitis being assessed?8.0%100.0%Q4. Documented evidence of enthesitis being assessed?4.0%100%Q5. Documented evidence of assessment of spinal involvement?8.0%100.0%Q6. Documented evidence of assessment of skin involvement?36.0%100.0%Q7. Documented evidence of assessment of nail involvement?4.0%93.1%Q8. Documented evidence of assessment of fatigue?8.0%96.6%Q9. Documented evidence of assessment of degree of pain?60.0%100.0%Q10. Documented evidence of patient’s global assessment?68.0%96.6%Q11. Documented evidence of assessment of physical function?0.0%96.6%Q12. Documented evidence of assessment of health-related quality of life?0.0%93.1%Q13. Documented evidence of assessment of systemic inflammation?72.0%96.6%Overall Compliance27.4%97.9%Conclusion:Dedicated PsA clinics using the GRAPPA App on iPads could facilitate comprehensive multi-domain assessments of patients with PsA and potentially lead to better outcomes as well as greater patient satisfaction.References:[1]Orbai AMet al., (2017) Updating the psoriatic arthritis (PsA) core domain set: a report from the PsA workshop at OMERACT 2016. J Rheumatol 44(10):1522–1528[2]Coates LCet al., Effect of tight control of inflammation in early psoriatic arthritis (TICOPA): a UK multicentre, open-label, randomised controlled trial. Lancet. 2015; 386(10012):2489–2498AcknowledgmentsDisclosure of Interests:None declared
Книги з теми "Multi-domain Performance Assessment"
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LAND.TECHNIK AgEng 2019. VDI Verlag, 2019. http://dx.doi.org/10.51202/9783181023617.
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Dieser VDI-Bericht ist ausschließlich als PDF-Dokument erschienen! Content half of it… Analysis of Drive Trains Model-Based Chiptuning Detection of Diesel Engines 1 M. Hinrichs, P. Pickel, John Deere GmbH, Kaiserslautern R. Isermann, Institute of Automatic Control, Darmstadt An Analysis of the Energy Consumption in the High-Pressure System of an Agricultural Tractor through Modeling and Experiment 9 X. Tian, A. Vacca, Purdue University, West Lafayette, IN, USA; S. Fiorati, F. Pintore, CNH Industrial S.p.A, Modena, Italy Multi-Domain Simulation for the Assessment of the NVH Behaviour of a Tractor with Hydrostatic-Mechanical Power Split Transmission 19 G. Pasch, G. Jacobs, G. Höpfner, J. Berroth, Institute for Machine Elements and Systems Engineering, RWTH Aachen University, Aachen Methods to evaluate steering performance of agricultural tractors 29 S. Liljenberg, M. Frederiksen, T. H. Langer, Danfoss Power Solutions, Nordborg, Denmark Tyres and Soil Soil pressure and pulling be...
Частини книг з теми "Multi-domain Performance Assessment"
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Vergerio, Giulia, Giulio Cavana, Federico Dell’Anna, Cristina Becchio, Sara Viazzo, and Marta Bottero. "A Multi-criteria and Multi-domain Model to Support the Comprehensive Assessment of Building Performance." In Lecture Notes in Networks and Systems, 1752–61. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06825-6_169.
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Succar, Bilal. "Building Information Modelling Maturity Matrix." In Handbook of Research on Building Information Modeling and Construction Informatics, 65–103. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-928-1.ch004.
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Building Information Modelling (BIM) is an expanding collection of concepts and tools which have been attributed with transformative capabilities within the Architecture, Engineering, Construction and Operations (AECO) industry. BIM discussions have grown to accommodate increasing software capabilities, infinitely varied deliverables, and competing standards emanating from an abundance of overlapping definitions attempting to delineate the BIM term. This chapter will steer away from providing its own definition of BIM yet concurs with those identifying it as a catalyst for change (Bernstein, 2005) poised to reduce industry’s fragmentation (CWIC, 2004), improve its efficiency (Hampson & Brandon, 2004) and lower its high costs of inadequate interoperability (NIST, 2004). In essence, BIM represents an array of possibilities and challenges which need to be understood and met respectively through a measurable and repeatable approach. This chapter briefly explores the multi-dimensional nature of the BIM domain and then introduces a knowledge tool to assist individuals, organisations and project teams to assess their BIM capability, maturity and improve their performance (Figure 1). The first section introduces BIM Fields and Stages which lay the foundations for measuring capability and maturity. Section 2 introduces BIM Competencies which can be used as active implementation steps or as performance assessment areas. Section 3 introduces an Organisational Hierarchy/Scale suitable for tailoring capability and maturity assessments according to markets, industries, disciplines and organisational sizes. Section 4 explores the concepts behind ‘capability maturity models’ and then adopts a five-level BIM-specific Maturity Index (BIMMI). Section 5 introduces the BIM Maturity Matrix (BIm³), a performance measurement and improvement tool which identifies the correlation between BIM Stages, Competency Sets, Maturity Levels and Organisational Scales. Finally, Section 6 introduces a Competency Granularity Filter which enables the tailoring of BIM tools, guides and reports according to four different levels of assessment granularity.
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Hashemi, Mukhtar, and Enda O’Connell. "Science and Water Policy Interface." In Data Mining, 405–34. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2455-9.ch020.
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Despite many advances in the field of hydroinformatics, the policy and decision-making world is unable to use these highly technical decision support systems (DSSs) because there has been an undue emphasis on the technological aspects. The historical analysis of hydroinformatics concepts and modelling shows that the technical aspects have been incorporated far better than the social aspects. Hence, there have been calls for the development of ‘socio-technical’ DSSs. However, far greater effort is required to incorporate social and political sciences into the domain of DSSs. The goal of this chapter is to elaborate on the illusive interface between science and water policy within the context of DSSs. It is an attempt to address one main question: how to link or find an interface between policy (institutional matters) and science (technical and natural environment aspects). To achieve this goal, a new paradigm for the DSS modelling approach has been envisaged based on combining multiple theoretical and analytical frameworks into a single methodological framework to attain a linkage between science and policy-making. The integrated methodological framework comprises of: (1) two ‘conceptual’ frameworks: (a) decision-making perspectives and (b) IWRM interface frameworks; (2) analytical frameworks: (a) DPSIR socio-technical assessment and (b) institutional analysis (IA) frameworks; (3) core engine of the DSS consisting of coupled decision support tools (DST) such as process, planning and evaluation models; and (4) a stakeholder participation interface framework consisting of (a(a multi-windowed dynamic cyber stakeholder interface (MDCSI) system and (b) DSS performance assessment (uncertainty and risk analysis) tools, within a shell of a graphical user interface (GUI). From experience, it can be concluded that DSSs are not just about software packages but they are a participatory communication platform for an interactive multi-stakeholder decision-making process. The required science-policy interface can be achieved by using a unique analytical approach in which technical, policy and institutional frameworks are combined within a DSS platform with an output framework, the MDCSI system, that facilitate policy dialogue by having a dynamic and interactive policy interface which can be linked to other technical and non-technical systems. DSSs should be integrated with institutional and socio-political frameworks to help attain both financial and institutional sustainability.
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Calderón-Garcidueñas, Lilian, Partha S. Mukherjee, Randy J. Kulesza, Ricardo Torres-Jardón, Jacqueline Hernández-Luna, Rodrigo Ávila-Cervantes, Edgar Macías-Escobedo, et al. "Mild Cognitive Impairment and Dementia Involving Multiple Cognitive Domains in Mexican Urbanites." In Advances in Alzheimer’s Disease. IOS Press, 2021. http://dx.doi.org/10.3233/aiad210020.
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Exposures to fine particulate matter PM2.5 and ozone O3 are associated with Alzheimer’s disease (AD) risk. Mexico City residents have lifetime exposures to PM2.5 and O3 above annual USEPA standards and their brains contain high redox, combustion, and friction-derived magnetite nanoparticles. AD pathological changes with subcortical pre-tangle stages in infancy and cortical tau pre-tangles, NFT Stages I-II, and amyloid phases 1–2 are identified by the 2nd decade. Given their AD continuum, a reliable identification of cognitive impairment is of utmost importance. The Montreal Cognitive Assessment (MoCA) was administered to 517 urbanites, age 21.60 ± 5.88 years, with 13.69 ± 1.28 formal education years, in Mexican PM2.5 polluted cities. MoCA score was 23.92 ± 2.82, and 24.7% and 30.3% scored ≤24 and ≤22, respectively (MCI ≤ 24, AD ≤ 22). Cognitive deficits progressively targeted Visuospatial, Executive, Language, and Memory domains, body mass index (BMI) impacting total scores negatively (p = 0.0008), aging driving down Executive, Visuospatial, and Language index scores (p < 0.0001, 0.0037, and 0.0045), and males performing better in Executive tasks. Average age for AD MoCA scores was 22.38 ± 7.7 years. Residency in polluted cities is associated with progression of multi-domain cognitive impairment affecting 55% of Mexican seemingly healthy youth. Normal BMI ought to be a neuroprotection goal. MoCA provides guidance for further mandatory neuropsychological testing in young populations. Identifying and lowering key neurotoxicants impacting neural risk trajectories in the developing brain and monitoring cognitive performance would greatly facilitate multidisciplinary early diagnosis and prevention of AD in high risk young populations. Cognitive deficits hinder development of those representing the force moving the country in future years.
Тези доповідей конференцій з теми "Multi-domain Performance Assessment"
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Kacenjar, Steve T., Aaron Dant, and Ronald A. Neely. "Performance assessment of a machine-learning-derived digital RF communication classifier." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, edited by Tien Pham, Latasha Solomon, and Katie Rainey. SPIE, 2020. http://dx.doi.org/10.1117/12.2557422.
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Wabnitz, Heidrun, Alexander Jelzow, Mikhail Mazurenka, Oliver Steinkellner, Rainer Macdonald, Antonio Pifferi, Alessandro Torricelli, et al. "Performance assessment of time-domain optical brain imagers: a multi-laboratory study." In SPIE BiOS, edited by Robert J. Nordstrom. SPIE, 2013. http://dx.doi.org/10.1117/12.2002438.
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Wang, Rui, Xi Chen, Zhengguang Gao, Shuangyi Yan, Reza Nejabati, and Dimitra Simeonidou. "Hybrid Learning Assisted Abstraction for Service Performance Assessment Over Multi-Domain Optical Networks." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/ofc.2020.m1b.2.
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Cifuentes, Jenny A., Minh Tu Pham, Richard Moreau, Flavio Prieto, and Pierre Boulanger. "Objective Assessment of Surgical Skills." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82862.
Повний текст джерелаАнотація:
Minimally Invasive Surgery (MIS) has definitively changed the procedures performed in operating rooms. In many cases, MIS has become the recommended standard technique, replacing the traditional open surgery. Effective training and objective assessment of surgeons in these techniques become a major concern in hospitals in recent years, encouraged primarily by patients and a society that demands safer surgical procedures, which is associated with better surgeons training. In the framework of surgery, the difficulty of defining objective metrics for performance evaluation lies in the strict dependency between tasks and the difficulty of defining the meaning of optimal performance, related to the characterization of gestures made by the experts. An objective method to compare 3D gestures between an expert and novice surgeons through multidimensional data analysis is proposed in this paper. A survey of different algorithms for surgical gestures analysis in time domain is carried out. These ones include the Multi-dimensional Dynamic Time Warping (MD-DTW) and Multi-Dimensional Derivative Dynamic Time Warping (MD-DDTW). Simulation and experimental results are given with this different techniques.
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Larbi Zeghlache, Mohamed, Abdulaziz Bazaid, Freeman Hill, and Nacer Guergueb. "Comprehensive Casing Corrosion Inspection Using Multi-Frequency Array EM Technology." In SPE International Oilfield Corrosion Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205050-ms.
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Abstract Historically, only total metal thickness measurement was possible using frequency domain electromagnetic (EM) logging tools. With advances in technology, it is critical to develop a frequency domain alternative answer using a multi-frequency array EM pipe inspection tool to accurately estimate the individual wall thicknesses of as many as five concentric pipes. Results from yard testing in a special design mockup, as well as field logs, are demonstrated as part of the technology assessment process. The new multi-frequency array EM tool uses the eddy current principle and includes two transmitters and eight receivers. It operates in continuous wave mode at multiple frequencies. Optimized transmitter-receiver spacing configurations and multi-frequency operation provide sufficiently diverse information to help assess the metal loss in each individual pipe for a wide range of configurations. The tool uses a sophisticated workflow of data processing and inversion algorithms to decouple individual thickness information from the measured data. The capabilities of the tool are demonstrated using two 400-ft long pipe mockups, each having 18 different combinations of overlapping and non-overlapping defects in five-, four-, and three-pipe sections. The configurations of the pipes used in the mockups were chosen to cover typical well completions commonly used in the Middle East. Data from the mockups are validated using synthetic data generated using two-dimensional (2D) computer models. The tool has delivered unprecedented accurate assessments of the fourth and fifth pipes, as well as an accurate assessment of the commonly evaluated first, second, and third pipes. The sensitivity of the inversion to model mismatches, such as those introduced by decentralized pipes, is studied by deliberately decentralizing one of the mockup pipes over a length of the log. An algorithm designed to correct for pipe eccentricity is also demonstrated. The results from the surface testing are discussed along with the performance of the tool in a test well with pipe configurations similar to the mockups. In the studied test well, the tool was able to identify defects in the outermost strings. This solution utilizes a novel inversion algorithm of big data from multi-frequency array sensors to derive individual pipes corrosion. This technology can significantly improve proactive decision making for mature well operations, especially in areas with high corrosion rates and shallow outer casing corrosion.
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Barsi, Dario, Andrea Perrone, Luca Ratto, Daniele Simoni, and Pietro Zunino. "Radial Inflow Turbine Design Through Multi-Disciplinary Optimisation Technique." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-42702.
Повний текст джерелаАнотація:
Multidisciplinary design optimisation (MDO) is nowadays widely employed to obtain advanced turbomachines design. The aim of this work is to provide a complete tool for the aeromechanical design of a radial inflow gas turbine. The high rotational speed of such machines, especially if used for micro cogenerative power plants, coupled with high exhaust gas temperature, exposes blades to really high centrifugal and thermal stresses; thus the aerodynamics optimisation has to be necessarily coupled with the mechanical one. Such an approach involves two different computational tools: a fully 3D Reynolds Averaged Navier-Stokes (RANS) solver is used for the aerodynamic optimisation, while an open source Finite Element Analysis (FEA) solver is employed for the mechanical integrity assessment. The geometry parameterization is handled with a commercial tool that employs b-spline advanced curve for blades and vanes definition. The aerodynamic mesh generation is managed via dedicated tools provided by the CFD software and it is a fully structured hexahedral multi-block grid. The FEA mesh is built by means of a harmonic map approach, which is able to provide high quality second order unstructured grid preserving geometrical features starting from boundary surfaces of the fluid domain. The finite element calculation provides stresses, displacements and eigenmodes that are used for mechanical integrity assessments while the CFD solver provides performance parameters and local thermodynamic quantities. Due to the high computational cost of both these two solvers, a metamodel, such as an artificial neural network, is employed to speed up the process. The interaction between two codes, the mesh generation and the post processing of the results is obtained via in-house developed scripting modules. Results obtained are presented and discussed.
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Noviello, Maria Chiara, Ignazio Dimino, Francesco Amoroso, Antonio Concilio, and Rosario Pecora. "Preliminary Assessment of Morphing Winglet and Flap Tabs Influence on the Aeroelastic Stability of Next Generation Regional Aircraft." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8138.
Повний текст джерелаАнотація:
Future aircraft wing technology is rapidly moving toward flexible and morphing wing concepts capable to enhance aircraft wing performance in off-design conditions and to reduce operative maneuver and gust loads. However, due to the reduced stiffness, increased mass, and increased degree of freedom (DOF), such mechanical systems require advanced aeroelastic assessments since the early design phases; this appears crucial to properly drive the design of the underlying mechanisms since the conceptual phase by mitigating their impact on the whole aircraft aeroelastic stability. Preliminary investigations have shown that the combined use of adaptive flap tabs and morphing winglets significantly improves aircraft aerodynamic performance in climb and cruise conditions by the order of 6%. Additionally, by adapting span-wise lift distributions to reduce gust solicitations and alleviate wing root bending moment at critical flight conditions, significant weight savings can also be achieved. Within the scope of Clean Sky 2 Airgreen 2 project, flutter and divergence characteristics of a morphing wing design integrating adaptive winglets and flap tabs are discussed. Multi-parametric flutter analyses are carried out in compliance with CS-25 airworthiness requirements (paragraph 25.629, parts (a), (b), (c) and (d)) to investigate static and dynamic aeroelastic stability behavior of the aircraft. The proposed kinematic systems are characterized by movable surfaces, each with its own domain authority, sustained by a structural skeleton and completely integrated with EMA-based actuation systems. For that purpose, a sensitivity analysis was performed taking into account variations of the stiffness and inertial properties of the referred architectures. Such layouts were reduced to a stick-equivalent model which properties were evaluated through MSC-NASTRAN-based computations. The proprietary code SANDY 4.0 was used to generate the aero-structural model and to solve the aeroelastic stability equations by means of theoretical modes association in frequency domain. Analyses showed the presence of critical modal coupling mechanisms in nominal operative conditions as well as in case of system malfunctioning or failure. Design solutions to assure clearance from instabilities were then investigated. Trade-off flutter and divergence analyses were finally carried out to assess the robustness of the morphing architectures in terms of movable parts layout, mass balancing and actuators damping.
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Polastri, Marco, Mattia Battarra, Massimo Milani, Gabriele Storchi, Luca Montorsi, and Emiliano Mucchi. "On the 0D – 3D Modelling Procedure for the Filling Analysis of the Lubrication System of Internal Combustion Engines." In BATH/ASME 2020 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/fpmc2020-2798.
Повний текст джерелаАнотація:
Abstract The paper focuses on the development of a predictive numerical tool for the assessment of the filling performance of engine lubrication systems. Filling analyzes are typically carried out by means of multi-phase 3-D CFD models but, despite allowing detailed and reliable results, they require very demanding computational requirements. On this basis, a procedure for the lumped parameter modelling of the fluid domain is proposed, allowing the discretization of complex systems that cannot be straightforwardly attributable to elementary submodels. The presented criteria are then applied to the lubrication system of a heavy-duty engine, for which the filling of the circuit plays a fundamental role. Different temperature conditions are simulated, and the predictive capabilities of the numerical model are presented in terms of flow pattern and filling time of the circuit branches. The same simulations are also carried out by means of a 3-D CFD model, permitting a result comparison. The comparative analysis concerns both the overall distribution of the lubricant over time, and the local phenomena within the oil domain, in order to assess the approximation of the lumped parameter approach with respect to the more accurate three-dimensional models.
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Bárcena Pasamontes, Lucía, Fernando Gómez Torres, Daniel Zwick, Sebastian Schafhirt, and Michael Muskulus. "Support Structure Optimization for Offshore Wind Turbines With a Genetic Algorithm." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24252.
Повний текст джерелаАнотація:
This study considers the use of a genetic algorithm for the structural design optimization of support structures for offshore wind turbines. Member diameters, thicknesses and locations of nodes are jointly optimized. Analysis of each design is performed with a complete wind turbine simulation, for a load case in the time domain. Structural assessment is in terms of fatigue damage, evaluated for each joint using the hot-spot stress approach. This defines performance constraints. Designs are optimized with respect to their weight. The approach has been tested with the modified 4-legged UpWind jacket from the OC4 project. The weight is quickly reduced, convergence slows after about 100 iterations, and few changes occur after 250 iterations. Interestingly, the fatigue constraint is not active for any member, and it is the validity of stress concentration factors that determines the best design, which utilizes less than 90 percent of the available fatigue lifetime. These results of the preliminary study using the genetic algorithm demonstrate that automatic optimization of wind turbine support structures is feasible under consideration of the simplified load approach. Even for complex, multi-member structures such as the considered jacket a weight reduction was achieved.
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Takahashi, Toshihiko, Kazunori Watanabe, Tomoharu Fujii, and Terutaka Fujioka. "Numerical Analysis of Temperature Distribution of a Film-Cooled and TBC Coated Blade." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50730.
Повний текст джерелаАнотація:
In order to contribute to assessment of structural integrity of a gas turbine cooled-blade, numerical estimation of temperature distributions of the blade was conducted. Steady-state simulations by means of one-way coupling of a CFD calculation with thermal conduction analysis were developed and executed to estimate the temperature distributions with using a realistic blade model. Thermal protection schemes applied to the target blade analyzed are external surface film cooling, internal convective cooling and thermal barrier coating (TBC). Non-conformal multi-block meshes were adopted in the analyses for the purpose of reducing turnarounds required in the simulations of real blades, so as to cope with a compound domain including film-cooling holes of various directions. The CFD was applied to flow fields inside and outside of the blade in order to estimate thermal loads imposed on the blade. The temperature distribution of the blade was calculated with the thermal conduction analysis under the conditions based on the CFD calculation. The calculated temperature profiles are in reasonable agreement with local temperature which was estimated on the basis of micro-structural observations of an ex-service blade. The present calculations can also predict influence of lower internal cooling performance on the temperature distribution of the blade.