Study on the Construction of 3D Geological Model of Quaternary Loose Sedimentary Strata Based on the Global Stratigraphic Discrete Points

Accurately depicting the spatial structure characteristics of Quaternary loose sedimentary strata is not only of great significance for the research of Quaternary geological evolution, but also for the analysis of spatial variation characteristics of the inner hydrogeological and engineering geological attributes of the strata. In this study, an approach for constructing a 3D geological model of Quaternary loose sedimentary strata is proposed based on global stratigraphical discrete points. The approach obtains the discrete control point set of each stratum by using limited borehole data for interpolation and encryption, and the contact relationships and intersection modes of adjacent strata can be determined via the analysis of stratigraphic sequence; finally, taking these as the professional basis, the construction of the 3D geological model of Quaternary loose sedimentary strata can be carried out. This application can not only accurately describe the three-dimensional spatial distribution characteristics of the Quaternary loose sedimentary strata, it can also be used to perform a layered simulation of the spatial variation characteristics of the inner geological properties of the Quaternary loose sedimentary strata, such as lithology, porosity, and water content, by taking the three-dimensional spatial framework of each stratum as the simulation boundary. Finally, this study takes the citizen center of Xiong’an new area as an example in order to verify the reliability and advancement of the 3D geological modeling scheme.

Deep reinforcement learning for universal quantum state preparation via dynamic pulse control

Accurate and efficient preparation of quantum state is a core issue in building a quantum computer. In this paper, we investigate how to prepare a certain single- or two-qubit target state from arbitrary initial states in semiconductor double quantum dots with only a few discrete control pulses by leveraging the deep reinforcement learning. Our method is based on the training of the network over numerous preparing tasks. The results show that once the network is well trained, it works for any initial states in the continuous Hilbert space. Thus repeated training for new preparation tasks is avoided. Our scheme outperforms the traditional optimization approaches based on gradient with both the higher efficiency and the preparation quality in discrete control space. Moreover, we find that the control trajectories designed by our scheme are robust against stochastic fluctuations within certain thresholds, such as the charge and nuclear noises.

Theoretical and Conceptual Basis of Budget Security: Regional and Local Dimension

In current conditions, budget security is one of the essential components of financial security. The budget is the leading financial plan of the state and reflects most of the economic processes in the country; it also redistributes and accumulates revenues, provides financing of vital costs. Proper use of the budget as a financial basis for state regulation of a market economy should ensure the rule of economic and social processes in the interests of society to create conditions for the economic development of the country. Оn the one hand, and Budget security reflects the regularities of the functioning of the budget as an objective reality and, on the other hand, the subjective manifestations of human activity that find their expression in fiscal policy.The article aims to substantiate budget security's theoretical and conceptual basis at the regional and local levels.The article examines the theoretical essence of budget security at the regional and local levels. First, scientific approaches to the definition of "budget security" are generalized. Second, budget risks are considered, which under the influence of certain factors can be transformed into threats to budget security (discrete control; insolvency of taxpayers; political, military actions; destabilization of the financial sector of the region/communities; imbalance of revenues and expenditures; structure of revenues and expenses; external dependence violation of the stability of payments, debt growth (internal/external), stochastic errors, corrupt growth of the shadow sector, irrational budgeting). Third, the theoretical conceptualization of the concept of "threat", their essence and characteristics are substantiated. Fourth, understanding the nature of the concept of "budget risk" and "threat to budget security" is investigated. Finally, the functions and tasks that the budget security of territories should perform in the conditions of increasing financial and economic instability are considered.Coverage of the theoretical and conceptual basis of budget security of regions and communities, specification of existing and potential factors and risks of budget security, functions and tasks of budget security will minimize and neutralize various aspects and threats in budget security and increase budget security at regional and local levels and achieve important strategic guidelines.

The Mathematical Models of Lattice Functions in Modelling of Control System

The paper proposes an approach to constructing a mathematical model of lattice functions, which are mainly used in the study of discrete control systems in the time and domain of the Laplace transform. The proposed approach is based on the assumption of the physical absence of an impulse element. An alternative to the classical approach to the description of discrete data acquisition - the process of quantization in time, is considered. As a result, models of the lattice function in the time domain and the domain of the discrete Laplace transform are obtained. Based on the obtained mathematical models of lattice functions, a mathematical model of the time quantization element of the system is obtained. This will allow in the future to proceed to the construction of mathematical models of various discrete control systems, incl. expanding the proposed approaches to the construction of mathematical models of multi-cycle continuous-discrete automatic control systems

High power density thermal control design of onboard phased array antenna

Thermal control of high power density phased array antenna [1] has become a critical problem for onboard seeker which is confined by compact structure and harsh flight condition [2-4], different from land-based or airborne seekers. As a key technology, thermal control of onboard phased array antenna faces the challenge of high density power element as well as worse operating temperature. Using finite volume method as theoretic foundation of numerical simulation, this paper firstly calculates temperature field and fluid field via discrete control equation group, which is transformed from continuous integration equation group according to energy reservation equation. Next,2 kinds of phased array antenna with phase change energy storage and water cooling are designed and evaluated by thermal control performance simulation. Then advice is given for reasonable assembly after temperature distribution of phased array antenna is quantified under different assembly state with the influence of contact thermal resistance. At the end, precision of temperature simulation is verified with temperature test result of phased array antenna.

Understanding Media Control in the Digital Age

Media control comprises multifaceted and amorphous phenomena, combining a variety of forms, tools, and practices. Today media control takes place in a sphere where national politics meet global technology, resulting in practices that bear features of both the (global) platforms and the affordances of national politics. At the intersection of these fields, we try to understand current practices of media control and the ways in which it may be resisted. This thematic issue is an endeavour to bring together conceptual, methodological, and empirical contributions to revise the scholarly discussion on media control. First, authors of this thematic issue re-assemble the notion of media control itself, as not being holistic and discrete (control vs freedom) but by considering it from a more critical perspective as having various modes and regimes. Second, this thematic issue brings a “micro” perspective into understanding and theorising media control. In comparison to structural and institutional perspectives on control, this perspective focuses on the agency of various actors (objects and subjects of media pressure) and their practices, motivations, and the resources with which they exert or resist control. Featuring cases from a broad range of countries with political systems ranging from democracy to electoral authoritarian regime, this issue also draws attention to the question of how media control relates to regime type.

A Multi-Period Optimal Reactive Power Dispatch Approach Considering Multiple Operative Goals

The optimal reactive power dispatch (ORPD) problem plays a key role in daily power system operations. This paper presents a novel multi-period approach for the ORPD that takes into account three operative goals. These consist of minimizing total voltage deviations from set point values of pilot nodes and maneuvers on transformers taps and reactive power compensators. The ORPD is formulated in GAMS (General Algebraic Modeling System) software as a mixed integer nonlinear programming problem, comprising both continuous and discrete control variables, and is solved using the BONMIN solver. The most outstanding benefit of the proposed ORPD model is the fact that it allows optimal reactive power control throughout a multi-period horizon, guaranteeing compliance with the programmed active power dispatch. Additionally, the minimization of maneuvers on reactors and capacitor banks contributes to preserving the useful life of these devices. Furthermore, the selection of pilot nodes for voltage control reduces the computational burden and allows the algorithm to provide fast solutions. The results of the IEEE 118 bus test system show the applicability and effectiveness of the proposed approach.

Analytical Approach to the Design of Joint Motion Control of the Egratic System " Skipper-Ship"

The article deals with the problem of designing a joint control of the movement of a water transport object — the ergatic system " ship-to-ship" . Joint motion control is presented in mathematical form on the basis of the model of actions and responses of the human operator and the machine, adopted in engineering psychology for the " human-machine" systems. The model is formalized by composing mathematical models of the plane motion of the ship and the movements of the controls of the propellers (propellers) and rudders of the ship. For the ship’s human-machine interface, it is proposed to use a new type of apparatus, with the help of which the control actions on the control body from the boatmaster and the control automaton of the ergatic system are combined.For the mathematical description of virtual signals of discrete control in solving problems of target designation and planning, a method for constructing a set of incomplete representations of elementary movements in the state space of the " skipper-ship" system is proposed. The numerical estimates of pairwise different representations of elementary movements and discrete control signals that implement transitions from one elementary movement to another by influencing the propellers and rudders of the ship using the ship’s human-machine interface controls are obtained.In order to unify the anthropomorphic control of ship movement at the target designation and planning levels, it is proposed to use templates from several discrete control signals, based on the experience of navigation and solving mathematical programming problems. The solution of the practical problem of optimal anthropomorphic control of the vessel movement from the mooring wall to the lock chamber is obtained, which provides for the implementation of a sequence of ten discrete control signals and two control templates. A method is proposed for estimating the influence of signal, parametric, and coordinate uncertainties on the position of the image point in the state space of the " su-driver-ship" system relative to the nominal trajectory of the program motion. The regions of interval representations of uncertainties in the subspace of the ship’s " time-position-speed" states are obtained. The procedure for correcting the a priori description of nominal anthropomorphic control is considered on the basis of control patterns and analysis of rectangles of uncertainty in the subspace of states of the " skipper-ship" system.