Internet Smart Technology Drives High Quality Development of Agricultural Economy

This paper builds a mechanism for the integration of the digital economy and agricultural economy and analyzes the scientific path of agricultural economic development under the mode of “Internet+”. Secondly, on the basis of Internet technology, for the multi-objective optimization problem of agricultural circular economy, the multi-objective optimization problem is solved by selecting decision variables of agricultural circular economy and determining the objective function of agricultural circular economy. Then, from the actual situation of the regional agricultural economy, we determine the constraints, decision variable parameters, and the adaptability function so as to construct the structural optimization model of the agricultural circular economy and carry out an example analysis of the high-quality development of the agricultural economy. The results show that on the model optimization analysis, the optimized planting area of corn is 15,956 hectares, and the optimized numbers of pigs, cattle and poultry are 302, 144, 25, 543 and 579, 1332, respectively. On the model application prediction analysis, it is recommended to increase the support for agriculture to 102.5% (2022=100%) while increasing the support for forestry to 105.1% (2022=100%). This study provides strong support and guidance for the optimization of the agricultural and industrial structure and provides a more scientific decision-making basis for the high-quality development of the agricultural economy

Complete consistency for recursive probability density estimator of widely orthant dependent samples

In this paper, we will study the recursive density estimators of the probability density function for widely orthant dependent WOD random variables. The complete consistency and complete convergence rate are established under some general conditions.In this paper, we will study the recursive density estimators of the probability density function for widely orthant dependent WOD random variables. The complete consistency and complete convergence rate are established under some general conditions

An algorithm for jamming strategy using OMP and MAB

Abstract Reinforcement learning (RL) has the advantage of interaction with an environment over time, which is helpful in cognitive jamming research, especially in an electronic warfare-type scenario, in which the communication parameters and jamming effect are unknown to a jammer. In this paper, an algorithm for a jamming strategy using orthogonal matching pursuit (OMP) and multi-armed bandit (MAB) is proposed. We construct a dictionary in which each atom represents a symbol error rate (SER) curve and can be obtained with known noise distribution and deterministic parameters. By reconnoitering, the jammer counts acknowledge/not acknowledge (ACK/NACK) frames to calculate the SER, which is also regarded as samples that are sampled from the real SER curve using an MAB. When we obtain the sampled sequence and the constructed dictionary, the OMP algorithm is used to search and locate atoms and its corresponding coefficients. With the searching results, the jammer can construct an SER curve that is similar to the real SER curve. The experimental results demonstrate that the proposed algorithm can learn an optimal jamming strategy with three interactions, which converges substantially faster than the state of the art

ADI-MRTD Algorithm for Periodic Structures Analysis

In this paper, a novel algorithm based on the alternating direction implicit (ADI) multiresolution time-domain (MRTD) method for periodic structure simulation is proposed. By applying the multiresolution analysis in accordance with wavelet theory, the spatial sampling rate of the conventional finite-difference time-domain (FDTD) is significantly reduced by the MRTD method. The ADI method is then used to remove the Courant-Friedrich-Levy (CFL) limit that the MRTD method experiences. The periodic boundary condition (PBC) is directly implemented in the time domain using a constant transverse wave-number (CTW) wave. Numerical results are presented to confirm the efficiency and accuracy of the proposed method

Degradation of methylene blue organic wastewater by plasma assisted method

In the current situation of water shortage and serious pollution, plasma discharged technology has a useful application prospect in sewage treatment. In order to control the degradation rate of pollutants, the effects of different gas environment, OH scavenger ethanol and H2O2 on the degradation of methylene blue simulated organic wastewater by plasma assisted method were studied. The experimental results show that the effect of air plasma discharge is slightly better than that of atmospheric pressure argon discharge. Ethanol can remove OH, thus reducing the degradation rate of methylene blue, while H2O2 can improve the degradation rate