Capital, Catastrophe: Marx’s “Dynamic Objects”

Author(s):  
Jacques Lezra

This chapter looks at how Capital, and capital, produce objects: what these objects are; how they dissolve classical, even dialectical models of identity; and finally, what analytic frameworks they command. Here the chapter shows Marx's critique of the logical form of classical political economy's statements (“the identity of consumption and production”). The range of names and objects and of disciplines that support them, providing them conditions of intelligibility and subsistence and taking from them coherence and legitimacy, hangs on two names, and on the mixed and contradictory sorts and principles of identity that attach historically to them: Marx and Baruch Spinoza.

Metrologiya ◽  
2020 ◽  
pp. 25-42
Author(s):  
Dmitrii V. Khablov

This paper describes a promising method for non-contact vibration diagnostics based on the use of Doppler microwave sensors. In this case, active irradiation of the object with electromagnetic waves and the allocation of phase changes using two-channel quadrature processing of the received reflected signal are used. The modes of further fine analysis of the resulting signal using spectral or wavelet transformations depending on the nature of the active vibration are considered. The advantages of this non-contact and remote vibration analysis method for the study of complex dynamic objects are described. The convenience of the method for machine learning and use in intelligent systems of non-destructive continuous monitoring of the state of these objects by vibration is noted.


1994 ◽  
Vol 16 (1) ◽  
pp. 53-64
Author(s):  
Chrsitopher Hookway
Keyword(s):  

Author(s):  
Мадина Усенбай ◽  
Акмарал Иманбаева

Конфиденциальность является одним из важных параметров для повышения безопасности в сети, цель которого - сохранить секретную информацию. Рассмотрена модель доверия, состоящая из текущих и прошлых оценок на основе репутации объекта в сети. В модели используется параметр времени для защиты конфиденциальности пользователя для статических и динамических объектов, например, в IoT или облачной технологии. Confidentiality is one of the important parameters for increasing security on the network, the coal of which is to keep secret information. A trust model consisting of current and past assessments based on the object reputation in the network is considered. The model uses a time parameter to protect user privacy for static and dynamic objects, for example, in IoT or cloud technology.


Author(s):  
Donald Davidson

Donald Davidson’s 1970 Locke Lectures appear in print for the first time in this volume, accompanied by an introduction highlighting their significance as a snapshot of his evolving views in the philosophy of language and describing their relationship to the work he published during his lifetime. The lectures comprise an invaluable historical document that illuminates how Davidson was thinking about the theory of meaning, the role of a truth theory therein, the ontological commitments of a truth theory, the notion of logical form, and so on, at a pivotal moment in the development of his thought. Unlike Davidson’s previously published work, they are written so as to be presented to an audience as a fully organized and coherent exposition of his program in the philosophy of language. Had these lectures been widely available in the years following 1970, the reception of Davidson’s work, especially in the philosophy of language, might have been very different. Given the systematic nature of the presentation of Davidson’s semantic program in these lectures, it is hoped that they will be of use to those encountering his thought for the first time.


Author(s):  
Jiahui Huang ◽  
Sheng Yang ◽  
Zishuo Zhao ◽  
Yu-Kun Lai ◽  
Shi-Min Hu

AbstractWe present a practical backend for stereo visual SLAM which can simultaneously discover individual rigid bodies and compute their motions in dynamic environments. While recent factor graph based state optimization algorithms have shown their ability to robustly solve SLAM problems by treating dynamic objects as outliers, their dynamic motions are rarely considered. In this paper, we exploit the consensus of 3D motions for landmarks extracted from the same rigid body for clustering, and to identify static and dynamic objects in a unified manner. Specifically, our algorithm builds a noise-aware motion affinity matrix from landmarks, and uses agglomerative clustering to distinguish rigid bodies. Using decoupled factor graph optimization to revise their shapes and trajectories, we obtain an iterative scheme to update both cluster assignments and motion estimation reciprocally. Evaluations on both synthetic scenes and KITTI demonstrate the capability of our approach, and further experiments considering online efficiency also show the effectiveness of our method for simultaneously tracking ego-motion and multiple objects.


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