Results 21 to 30 of about 40,732 (301)
Organizational couplings: a literature review
Innovar: Revista de Ciencias Administrativas y Sociales, 2021 The loosely coupled systems (LCS) perspective emerged as a new way to understand the organizational structure from the field of Organization Studies.
Leonel Arango-Vasquez, Mariano Gentilin
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Study of robust H(infinity) filtering application in loosely coupled INS/GPS system [PDF]
, 2014 Since a celebrate linear minimum mean square (MMS) Kalman filter in integration GPS/INS system cannot guarantee the robustness performance, a H(infinity) filtering with respect to polytopic uncertainty is designed.
Yanming Feng +5 more
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Improved Spoofing Loosely Coupled INS /GPS with Steady State Kalman Matrix Gain [PDF]
فصلنامه علوم و فناوری فضایی, 2023 This paper presents a solution for detecting and recovery for the spoof error of GPS receiver signals, in order to increase the accuracy of the navigation system integrating inertial systems with GPS signals.
Reza Ghasrizadeh, Amir Ali Nikkhah
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Loosely Coupled TCP Acceleration Architecture [PDF]
14th IEEE Symposium on High-Performance Interconnects (HOTI'06), 2006 We present a novel approach for scalable network acceleration. The architecture uses limited hardware support and preserves protocol processing flexibility, combining the benefits of TCP offload and onload. The architecture is based on decoupling the data movement functions, accelerated by a hardware engine, from complex protocol processing, controlled
Leah Shalev +6 more
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Tight and Loose Coupling in Organizations [PDF]
The B.E. Journal of Theoretical Economics, 2017 AbstractSome industries have consumers who seek novelty and firms that innovate vigorously and whose organizational structure is loosely coupled, or easily adaptable. Other industries have consumers who take comfort in the traditional and firms that innovate little and whose organizational structure is tightly coupled, or not easily adaptable.
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A Loosely Coupled Model for Simulating and Predicting Land Use Changes
Land, 2023 The analysis and modeling of spatial and temporal changes in land use can reveal changing urban spatial patterns and trends. In this paper, we introduce a linear transformation optimization Markov (LTOM) model that can be exploited to estimate the state ...
Jing Liu +3 more
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Explicit Domain Adaptation With Loosely Coupled Samples [PDF]
IEEE Robotics and Automation Letters, 2020 Transfer learning is an important field of machine learning in general, and particularly in the context of fully autonomous driving, which needs to be solved simultaneously for many different domains, such as changing weather conditions and country-specific driving behaviors. Traditional transfer learning methods often focus on image data and are black-
Oliver Scheel +3 more
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Benefits of Combined GPS/GLONASS with Low-Cost MEMS IMUs for Vehicular Urban Navigation
Sensors, 2012 The integration of Global Navigation Satellite Systems (GNSS) with Inertial Navigation Systems (INS) has been very actively researched for many years due to the complementary nature of the two systems.
Giovanni Pugliano +2 more
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Loose excitation–secretion coupling in astrocytes [PDF]
Glia, 2015 Astrocytes play an important housekeeping role in the central nervous system. Additionally, as secretory cells, they actively participate in cell‐to‐cell communication, which can be mediated by membrane‐bound vesicles. The gliosignaling molecules stored in these vesicles are discharged into the extracellular space after the vesicle membrane fuses with ...
Nina, Vardjan +2 more
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Sensors, 2016 This paper researches an AUV (Autonomous Underwater Vehicle) positioning method based on SINS (Strapdown Inertial Navigation System)/LBL (Long Base Line) tightly coupled algorithm.
Tao Zhang +4 more
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