This paper proposes a novel approach to designing Parallel Continuum Robots (PCRs) with spherical movement. Pyramid elastic units are used to construct limbs with special kinematic characteristics for the PCR. By deve...
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With the rapid development of intelligent electric vehicles, the technology of lane-changing trajectory planning has become one of the pivotal issues. However, intelligent vehicles have problems of unsafety and conser...
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In order to improve the accuracy of Ultra-wide Band (UWB) indoor positioning in Non-line of Sight (NLOS) environment, a UWB indoor positioning algorithm based on Received Signal Strength Indication (RSSI) is proposed ...
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The dynamic properties of energy systems have gradually changed since the publication of the groundbreaking study on stability in power systems definitions in [reference]. This development is explained by the growing ...
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This study aims to detect the severity levels of Skin Lesion diseases. The study classifies the six different severity levels. Skin, a vital organ, acts as a barrier to external environments. Early detection of skin d...
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Smart building automationsystems (BASs) are designed to improve the convenience of residents and achieve efficient energy management, resulting in an increase in their components. However, unlike conventional buildin...
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Domain-driven design (DDD) aims to iteratively develop software based on a realistic model of the problem domain. This approach requires a thorough understanding of the domain's requirements and ensuring that the ...
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For the traditional big data classification models and algorithms that have the drawback of long processing time, the use of intelligent algorithms to model identification of multivariable systems has become a mainstr...
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Modern warfare is rapidly evolving towards unmanned and intelligent trends. Currently, one of the technical difficulties in unmanned aerial vehicle (UAV) airborne fire controlsystems is how to accurately and quickly ...
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Travel behavioral analysis is crucial to the demand computation, which underpins traffic planning and optimization of transportation management and control. While traditional methods seek to descriptively learn the tr...
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ISBN:
(数字)9798331505929
ISBN:
(纸本)9798331505936
Travel behavioral analysis is crucial to the demand computation, which underpins traffic planning and optimization of transportation management and control. While traditional methods seek to descriptively learn the travel patterns through behavioral models as well as big data from multiple sources, they perform weak predictive ability of system's evolutionary features. To model and analyze the dynamics of such cyber physical social systems, this paper proposes an interpretable analytical method for travel behaviors based on knowledge automation (named as knowledge refinement). The new approach provides a feasible and reliable methodology for the analytics of heterogenous human participated systems, and is validated using one month's data of public transportation in Beijing. Results indicate that the approach not only has the state-of-the-art “reproductive” ability of actual traffic flows compare with traditional methods, but also can further reveal systemic dynamics with semantics such as the stable or divergent regions.
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