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Considerations Regardingthe Integration-Intrication Processin the Nature and Technology

-973-7695-79-6 (in Romanian language). Nicolescu, B. (1999), Transdisciplinarity. Manifest, Polirom Publishing, Iasi, Romania, ISBN 973-683-234-1 (in Romanian language). Nicolescu, B. (2002), We, the particle and the world, Rocher, Paris. Peters, J., Van Brussel, H. (1989), Mechatronic Revolution and Engineering Education, European Journal of Mechanical Engineering, Vol. 34, Nr. 1, Pag. 5-8. Szabo, F. (2006), Contributions regarding the study of integration process in Mechatronics, PhD Thesis, Technical University

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Integrating Risk Analysis With Safety Dyagnostic In Complex Industrial Systems: Modeling Hazard

Abstract

Admitting as known the instruments that lends itself to highlighting the causes - consequences relationships in an industrial plant, the purpose of this research is, on the one hand, to integrate these relationships in the safety diagnostic procedures and, on the other hand, to use these “consequences” to forecast future failures likely to occur within the technical system. In this context, the paper aims to study systemic hazard models to develop structural, functional and behavioural models, describing a complex industrial system

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Integration Issues for Using Innovative Daylighting Strategies in Light Wells

Abstract

“Light well” as one of the most common means of daylight tolls in building, experiences severe limitations and deserve special attention. The question is which strategy is the best for increasing the daylight penetration to the depth of buildings. One of the main challenges in deep plan is to guide daylight into the building core and this can be performed through daylighting strategies, but the choice of the proper innovative daylighting system (IDS) with several parameters is the problem. This paper aims to find elements for optimal choice and selecting context-compatible tools for light well. The result shows that four macro factors were found at the interaction of building and IDS. Identifying the integration components can play an effective role in decision-making or design a new tolls consistent with the physical conditions of light well and building to overcome the daylight crisis.

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Realtime Motion Assessment For Rehabilitation Exercises: Integration Of Kinematic Modeling With Fuzzy Inference

inertial sensors and its integration with kinect,” in EMBC’11: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society , 2011, pp. 3479–3483. [17] E. Akdoğan, E. Taçgın, and M. A. Adli, “Knee rehabilitation using an intelligent robotic system,” Journal of Intelligent Manufacturing , vol. 20, no. 2, pp. 195–202, 2009. [18] Q. Wang, P. Turaga, G. Coleman, and T. Ingalls, “Somatech: an exploratory interface for altering movement habits,” in CHI’14 Extended Abstracts on Human Factors in Computing Systems . ACM, 2014, pp

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Radial Ball Bearing Inner Race Defect Width Measurement using Analytical Wavelet Transform of Acoustic and Vibration Signal

Radial Ball Bearing Inner Race Defect Width Measurement using Analytical Wavelet Transform of Acoustic and Vibration Signal

In the present work, an experiment is carried out with a customized test setup where the seeded defects are introduced in the form of an axial groove on the inner race of a radial ball bearing. The nature of the acoustic and vibration signal bursts, and their correlation with the inner race defects, are established and estimated. Experimental investigation reveals that the analytical wavelet transform (AWT) is an effective tool for analyzing the acoustic and vibration signals, transmitted from the bearing, in order to characterize and measure the defect size. In the recent work, AWT followed by the time marginal integration (TMI) have been implemented on acoustic and vibration signals of a defective radial bearing. Size of the defect in the inner race of bearing is corroborated well with AWT scalogram. The segregation of the defect is carried out on TMI graph across the highest amplitude spike, which is due to signal burst (due to a contact of ball with bearing inner race defect). This manual demarcation on TMI graph in time axis provides the time duration (contact between a ball and the inner race defect). Using this time duration of the ball passed over bearing inner race defect, RPM of shaft mounted across bearing, and the fundamental train frequency, the defect width is estimated. The deviation of the measured width from the actual, using the proposed method, is sought below 5%. Summarizing, the proposed method can be reckoned a suitable and reliable measurement of radial bearing inner race defect width from acoustic and vibration signal.

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A Bio-Inspired Integration Method for Object Semantic Representation

, P. Norvig, J.F. Canny, J.M. Malik, and D.D. Edwards, Artificial intelligence: a modern approach, Prentice hall Englewood Cliffs, NJ, (1995). [46] X.Wang, and H.Wei, An Integration Model Based on Non-classical Receptive Fields, Springer, (2009), pp. 451-459. [47] H.Wei, A Homogenous Associative Memory Neural Network Based on Structure Learning and Iterative Self-Mapping. Journal of Software Vol.13 (3) (2002) 438-446. [48] Serge Belongie, Jitendra Malik, Jan Puzicha, Shape matching and object recognition using shape

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Collision-Free Autonomous Robot Navigation in Unknown Environments Utilizing PSO for Path Planning

Abstract

The autonomous navigation of robots in unknown environments is a challenge since it needs the integration of a several subsystems to implement different functionality. It needs drawing a map of the environment, robot map localization, motion planning or path following, implementing the path in real-world, and many others; all have to be implemented simultaneously. Thus, the development of autonomous robot navigation (ARN) problem is essential for the growth of the robotics field of research. In this paper, we present a simulation of a swarm intelligence method is known as Particle Swarm Optimization (PSO) to develop an ARN system that can navigate in an unknown environment, reaching a pre-defined goal and become collision-free. The proposed system is built such that each subsystem manipulates a specific task which integrated to achieve the robot mission. PSO is used to optimize the robot path by providing several waypoints that minimize the robot traveling distance. The Gazebo simulator was used to test the response of the system under various envirvector representing a solution to the optimization problem.onmental conditions. The proposed ARN system maintained robust navigation and avoided the obstacles in different unknown environments. vector representing a solution to the optimization problem.

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Managing Information Flow in Self-Organising Networks of Communication Between Construction Project Participants

integrating multiple theoretical perspectives and influencing factors.” Project Management Journal 42.3 (2011): 4-22. [5] Moreno, Jacob Levy. “Who shall survive?: A new approach to the problem of human interrelations.” (1934). [6] Loosemore, Martin. “Construction crises as periods of social adjustment.” Journal of management in engineering 13.4 (1997): 30-37. [7] Loosemore, Martin. “Social network analysis: using a quantitative tool within an interpretative context to explore the management of construction crises.” Engineering, construction and

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Pattern Classification by Spiking Neural Networks Combining Self-Organized and Reward-Related Spike-Timing-Dependent Plasticity

, Learning touch preferences with a tactile robot using dopamine modulated STDP in a model of insular cortex, Frontiers in neurorobotics, vol. 9, p. 6, 2015. [31] A. H. Marblestone, G. Wayne, and K. P. Kording, Toward an integration of deep learning and neuroscience, Frontiers in computational neuroscience, vol. 10, 94, 2016. [32] A. S. Warlaumont and M. K. Finnegan, Learning to produce syllabic speech sounds via reward-modulated neural plasticity, PloS one, vol. 11, no. 1, e0145096, 2016. [33] Y. Kawai, T. Takimoto, J. Park, and M. Asada, Efficient

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Identification of Microrecording Artifacts with Wavelet Analysis and Convolutional Neural Network: An Image Recognition Approach

with high field and ultrahigh MR imaging? Frontiers in Integrative Neuroscience , 9, 46. [4] Abosch, A., Timmermann, L., Bartley, S., Rietkerk, H. G., Whiting, D., Connolly, P.J., et al. (2013). An international survey of deep brain stimulation procedural steps. Stereotactic and Functional Neurosurgery , 91 (1), 1-11. [5] Bour, L.J., Contarino, M.F., Foncke, E.M.J., de Bie, R.M.A., van den Munckhof, P., Speelman, J.D., Schuurman, P.R. (2010). Long-term experience with intraoperative microrecording during DBS neurosurgery in STN and GPi. Acta

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