Abstract—: The paper considers the problem of modeling the gravitational field of contact binary trans-Neptunian asteroid (486 958) Arrokoth. A so-called gravitating dumbbell is being built—a model of a celestial bo...
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To understand the smoke level and NO_(x)emission characteristics of in-use construction machinery in Beijing,we selected 905 construction machines in Beijing from August 2022 to April 2023 to monitor the emission leve...
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To understand the smoke level and NO_(x)emission characteristics of in-use construction machinery in Beijing,we selected 905 construction machines in Beijing from August 2022 to April 2023 to monitor the emission level of smoke and NO_(x).The exhaust smoke level and excessive emission situation of different machinery types were identified,and their NO_(x)emission levels were monitored according to the free acceleration *** investigated the correlation of NO_(x)and smoke emission,and proposed suggestions for controlling pollution discharge from construction machinery in the *** results show that the exhaust smoke level was 0–2.62 m^(−1),followed a log-normal distribution(μ=-1.73,δ=1.09,R^(2)=0.99),with a 5.64%exceedance *** observed amongmachinery types,with low-power engine forklifts showing higher smoke *** NO_(x)emission range was 71–1516 ppm,followed a normal distribution(μ=565.54,δ=309.51,R^(2)=0.83).Differences among machinery types were relatively *** rated net power had the most significant impact on NO_(x)***,NO_(x)emissions from construction machinery need further ***,we found a weak negative correlation(p<0.05)between the emission level of smoke and NO_(x),that is the synergic emission reduction effect is poor,emphasizing the need for NO_(x)emission *** the future,the oversight in Beijing should prioritize phasing out ChinaⅠand ChinaⅡmachinery,and monitor emissions from highpower engine ChinaⅢmachinery.
This paper addresses security problems in cyber-physical systems (CPSs). A multi-objective optimal stealthy attack strategy is designed to disrupt the estimation process and degrade the stabilizing performance of the ...
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This paper studies a geometric attitude tracking control problem of quadrotor unmanned aerial vehicles (UAVs) with adaptive extended state observers (AESOs). Through coordinate transformation, the error dynamic of AES...
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In the absence of any observation system or low veracity of the data, it is possible to provide control over a limited time interval basing on a high-precision control object model used. The paper proposes to use a mu...
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The microeconomic description of the investment policy of a firm in a market-type economic system is presented. Firms differ from each other by the moment of creation and are limited liability companies. At the moment...
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To apply a solution of the optimal control problem directly to the control object for which model this problem was solved, it is necessary to build a system of motion stabilization along the obtained optimal trajector...
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The paper presents for the first time a methodology for solving supervised learning problems, such as classification and regression, based on deep Gaussian mixture models (DGMMs). We use a self-supervised approach to ...
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A state-constrained optimal control problem is considered in which the starting position is fixed and the terminal position is free. The endpoints are strictly included within the set shaped by the given state constra...
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Safety of electronic and computer systems largely depend on their failure-free operation time ("lifetime" (LT)). The problem of predicting the degradation rate of technical system characteristics ("serv...
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ISBN:
(纸本)9783031769337
Safety of electronic and computer systems largely depend on their failure-free operation time ("lifetime" (LT)). The problem of predicting the degradation rate of technical system characteristics ("service life") which determines LT, is often solved within the accelerated testing (AT) paradigm. However, it has its own specifics for prototypes of devices produced at the early stages of development work, when, having only a small number of device copies, it is necessary to estimate their potential service life (LT), if this characteristic is decisive for assessing the feasibility of continuing the development. This may concern both technical devices (and elements of "Cyber-physical systems", in particular) and software products, for example, machine learning (ML) systems under development. This paper analyzes the extent to which state-of-the-art of machine learning (ML), as well as such specialized LT assessment models as selective censoring, Survival Analysis (SA), Extreme Value theory (EVT), allow obtaining service life forecasts for designed devices under real operating conditions at the early stages of development/design. The difficulties of solving the maintenance forecasting problem using traditional machine learning software tools are analyzed, and a heuristic method for solving the maintenance forecasting problem under given conditions is considered and proposed. It is noted that the problems under consideration have a similar fundamental nature for a wide variety of applications of electronic and computer technology, for which it is necessary to estimate the rate of degradation of efficiency. Examples will be given both from the modern practice of computer networks and from the practice of developing modern solar electric cells (SEC) of autonomous power supply, the lifetime of which is one of the factors of safe operation of various systems. At the same time, a common property of time series representing the efficiency of these systems in certain terms is, in
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