The Role of Teachers’Apperception in Herbart’s Theory for Chinese Teaching in Shenzhen Primary Schools of China

This paper deeply analyzes the practical application of Herbart’s educational concept in contemporary education and teaching,especially its guiding significance to the primary school Chinese classroom in Shenzhen area.Herbart proposed that teachers should play a key role in students’cognitive process,that is,help students better understand and master new knowledge by combining it with existing knowledge.The survey results show that although teachers have some understanding of Herbart’s educational philosophy,it is not widely used in the concrete teaching process.However,the study also shows that there is a positive relationship between Herbart’s theory and students’academic performance,indicating that it plays an important role in improving students’interest and engagement in learning.The research also reveals the differences between educational concepts and practices,as well as the uneven distribution of educational resources,and puts forward measures to alleviate these contradictions,such as strengthening teacher training,improving teaching methods,and emphasizing moral education.At the same time,the study also highlights the critical role of teachers in promoting knowledge integration,arousing learning enthusiasm,shaping students’moral character,and promoting personal and professional growth.

Experience Overview of Foreign Teachers in the Allocation of Resources of Compulsory Education Stage

This article briefly introduces the successful experience of American ＂Compensatory Education Program＂, British ＂Education Action Zone＂, French＂Priority Education Zone Policy＂ and Japanese ＂Regular Flow of TeachersSystem＂, which are about the optimal allocation of compulsory education teacher resources allocation. Corresponding enlightenment has been gotten based on it. In addition, this article holds the opinion that we can focus on the reference and practice of Japan, and implement the regular flow of teachers. The main reason is that China has possessed the key condition of carrying out this system.

The Optimization of Manufacturing Resources Allocation Considering the Geographical Distribution

From the perspective of the geographical distribution, considering production fare, supply chain information and quality rating of the manufacturing resource(MR), a manufacturing resource allocation(MRA) model considering the geographical distribution in cloud manufacturing(CM) environment is built. The model includes two stages, preliminary selection stage and optimal selection stage. The membership function is used to select MRs from cloud resource pool(CRP) in the first stage, and then the candidate resource pool is built. In the optimal selection stage, a multi-objective optimization algorithm, particle swarm optimization(PSO) based on the method of relative entropy of fuzzy sets(REFS_PSO), is used to select optimal MRs from the candidate resource pool, and an optimal manufacturing resource supply chain is obtained at last. To verify the performance of REFS_PSO, NSGA-Ⅱ and PSO based on random weighting(RW_PSO) are selected as the comparison algorithms. They all are used to select optimal MRs at the second stage. The experimental results show solution obtained by REFS_PSO is the best. The model and the method proposed are appropriate for MRA in CM.

Conjunctive Utilization of Water Resources at the Yulin Coal-Mine Base in China

Shortages in water resources and the fragile ecosystem by coal-mine water affect the Yulin coal-mine base in northwest China, so taking coal-mine water into account is an important issue for the sustainable management of water resources. This paper aims to explore how the Yulin coal-mine base can improve its conjunctive utilization of water resources. Integrated utilization is proposed by establishing a multi-objective, multi-water-source, optimal-allocation model;setting up an integrated information platform;and giving very useful measures and policy suggestions to the local government. Finally, this research can also serve as an example of integrated water utilization for other energy bases.

A Novel Stochastic Framework for the Optimal Placement and Sizing of Distribution Static Compensator

This paper proposes a new stochastic framework based on the probabilistic load flow to consider the uncertainty effects in the Distribution Static Compensator (DSTATCOM) allocation and sizing problem. The proposed method is based on the point estimate method (PEM) to capture the uncertainty associated with the forecast error of the loads. In order to explore the search space globally, a new optimization algorithm based on bat algorithm (BA) is proposed too. The objective functions to be investigated are minimization of the total active power losses and reducing the voltage deviation of the buses. Also to reach a proper balance between the optimization of both the objective functions, the idea of interactive fuzzy satisfying method is employed in the multi-objective formulation. The feasibility and satisfying performance of the proposed method is examined on the 69-bus IEEE distribution system.

Research on Demand Response Potential of Adjustable Loads in Demand Response Scenarios

To address the issues of limited demand response data,low generalization of demand response potential evaluation,and poor demand response effect,the article proposes a demand response potential feature extraction and prediction model based on data mining and a demand response potential assessment model for adjustable loads in demand response scenarios based on subjective and objective weight analysis.Firstly,based on the demand response process and demand response behavior,obtain demand response characteristics that characterize the process and behavior.Secondly,establish a feature extraction and prediction model based on data mining,including similar day clustering,time series decomposition,redundancy processing,and data prediction.The predicted values of each demand response feature on the response day are obtained.Thirdly,the predicted data of various characteristics on the response day are used as demand response potential evaluation indicators to represent different demand response scenarios and adjustable loads,and a demand response potential evaluation model based on subjective and objective weight allocation is established to calculate the demand response potential of different adjustable loads in different demand response scenarios.Finally,the effectiveness of the method proposed in the article is verified through examples,providing a reference for load aggregators to formulate demand response schemes.

Resource allocation optimization of equipment development task based on MOPSO algorithm

Resource allocation for an equipment development task is a complex process owing to the inherent characteristics,such as large amounts of input resources,numerous sub-tasks,complex network structures,and high degrees of uncertainty.This paper presents an investigation into the influence of resource allocation on the duration and cost of sub-tasks.Mathematical models are constructed for the relationships of the resource allocation quantity with the duration and cost of the sub-tasks.By considering the uncertainties,such as fluctuations in the sub-task duration and cost,rework iterations,and random overlaps,the tasks are simulated for various resource allocation schemes.The shortest duration and the minimum cost of the development task are first formulated as the objective function.Based on a multi-objective particle swarm optimization(MOPSO)algorithm,a multi-objective evolutionary algorithm is constructed to optimize the resource allocation scheme for the development task.Finally,an uninhabited aerial vehicle(UAV)is considered as an example of a development task to test the algorithm,and the optimization results of this method are compared with those based on non-dominated sorting genetic algorithm-II(NSGA-II),non-dominated sorting differential evolution(NSDE)and strength pareto evolutionary algorithm-II(SPEA-II).The proposed method is verified for its scientific approach and effectiveness.The case study shows that the optimization of the resource allocation can greatly aid in shortening the duration of the development task and reducing its cost effectively.

Principal-subordinate hierarchical multi-objective programming model of initial water rights allocation

The principal-subordinate hierarchical multi-objective programming model of initial water rights allocation was developed based on the principle of coordinated and sustainable development of different regions and water sectors within a basin. With the precondition of strictly controlling maximum emissions rights, initial water rights were allocated between the first and the second levels of the hierarchy in order to promote fair and coordinated development across different regions of the basin and coordinated and efficient water use across different water sectors, realize the maximum comprehensive benefits to the basin, promote the unity of quantity and quality of initial water rights allocation, and eliminate water conflict across different regions and water sectors. According to interactive decision-making theory, a principal-subordinate hierarchical interactive iterative algorithm based on the satisfaction degree was developed and used to solve the initial water rights allocation model. A case study verified the validity of the model.

Downlink Resource Allocation with Multi-Objective Optimization in OFDMA Systems

A downlink radio resource allocation algorithm is proposed for orthogonal frequency division multiple access( OFDMA) systems. The resource allocation problem about system throughput and user fairness is formulated based on the multi-objective optimization theory. Then the optimality conditions are derived,according to which a joint subcarrier and power allocation algorithm is proposed. The simulation results show that the proposed algorithm can dynamically achieve arbitrary levels of compromise between throughput and fairness by adjusting the weighting coefficient,outperforming some static algorithms. In comparison,the classic maximum rate algorithm( MRA),max-min algorithm and proportional fairness( PF) algorithm can only achieve tradeoff in a certain level and are all special cases of the proposed algorithm.

OFDMA系统中基于多目标优化的无线资源分配算法

本文提出了OFDMA系统中基于多目标优化的无线资源分配算法。针对不同业务的QoS要求,建立多目标优化模型,并提出一种多业务分级分配算法通过确定优先级、引入合适的参数获得次优解。仿真结果表明,该算法不但能够保证不同业务的QoS要求,而且能够兼顾相同业务的用户之间的公平性。

How to Promote the Online Flow of High-Quality Teacher Resources under the"Double Reduction"Policy:An Analysis of Factors Influencing Teachers'Continuance Intention to Participate in Online After-School Teaching Services

Promoting the online flow of high-quality teacher resources has emerged as an important way to pursue coordinated progress in burden reduction and quality improvement under the"double reduction"policy.Based on the Open Online Tutoring Program of Secondary School Teachers(hereinafter referred to as"the open tutoring program")in City A,China,this study examined the factors influencing teachers'continuance intention to participate in the open tutoring program and their structural relationships,using a structural equation modeling analysis based on 1,159 sample data.The results show that:Firstly,teachers'reputation enhancement,perceived playfulness,perceived usefulness,and perceived ease of use have a positive effect on teachers'continuance intention to participate in online after-school teaching services.Secondly,online teaching efficacy has no direct effect on teachers'continuance intention,but rather impacts their reputation enhancement and beliefs about the value of the open tutoring program.Thirdly,social influence has a positive effect on teachers'reputation.Fourthly,perceived ease of use has a positive effect on teachers'perception of the value of the open tutoring program.In light of the above,relevant suggestions are proposed to encourage teachers to continue participating in online after-school teaching services.

改进的NSGA-Ⅱ算法在MIMO-OFDMA系统多目标资源分配中的应用

将快速非支配遗传算法NSGA-Ⅱ用于MIMO-OFDMA系统下行信道的子载波和比特动态分配中,不仅能降低计算复杂度,而且能提升系统性能,提高系统资源分配效率。改进的NSGA-Ⅱ算法通过丢弃不同数目的精英个体,在保持原有算法优点的同时,可以增加个体的多样性,有效防止算法提前收敛或陷入局部最优解。本文提出了NSGA-Ⅱ算法的改进方案,以及将改进的算法用于MIMO-OFDMA系统多目标资源分配中的详细流程和参数设计。仿真结果表明改进的NSGA-Ⅱ算法能进一步提高系统的总容量,改善系统中资源分配的问题。

Research on the Strategy for the Balanced Allocation of Educational Resources between Urban and Rural Areas in China

This study conducts an in-depth analysis of the current state,influencing factors,and strategies for the distribution of educational resources between urban and rural areas in China.It aims to provide an empirical foundation and specific recommendations for policymakers and educational practitioners.The research reveals significant disparities in teacher allocation,teaching facilities,and educational funding between urban and rural regions,which adversely impact the quality and equity of education.Despite national policies promoting educational equity,discrepancies in local implementation hinder the effectiveness of these policies.The study underscores the profound influence of education on social development,noting that educational gaps can restrict individual social mobility and affect overall societal progress and economic growth.Policy recommendations include increasing investment in rural education,establishing dynamic resource allocation mechanisms,enhancing rural teacher remuneration and social status,and promoting the application of educational technology.The study acknowledges limitations in sample selection and data collection,suggesting future research directions such as the impact of educational policies on specific groups and the psychosocial effects of educational inequality.Interdisciplinary research and systematic policy evaluation and feedback mechanisms are encouraged to ensure policies adapt to new educational demands.

Adaptive Resource Allocation Algorithm for 5G Vehicular Cloud Communication

The current resource allocation in 5G vehicular networks for mobile cloud communication faces several challenges,such as low user utilization,unbalanced resource allocation,and extended adaptive allocation time.We propose an adaptive allocation algorithm for mobile cloud communication resources in 5G vehicular networks to address these issues.This study analyzes the components of the 5G vehicular network architecture to determine the performance of different components.It is ascertained that the communication modes in 5G vehicular networks for mobile cloud communication include in-band and out-of-band modes.Furthermore,this study analyzes the single-hop and multi-hop modes in mobile cloud communication and calculates the resource transmission rate and bandwidth in different communication modes.The study also determines the scenario of one-way and two-way vehicle lane cloud communication network connectivity,calculates the probability of vehicle network connectivity under different mobile cloud communication radii,and determines the amount of cloud communication resources required by vehicles in different lane scenarios.Based on the communication status of users in 5G vehicular networks,this study calculates the bandwidth and transmission rate of the allocated channels using Shannon’s formula.It determines the adaptive allocation of cloud communication resources,introduces an objective function to obtain the optimal solution after allocation,and completes the adaptive allocation process.The experimental results demonstrate that,with the application of the proposed method,the maximum utilization of user communication resources reaches approximately 99%.The balance coefficient curve approaches 1,and the allocation time remains under 2 s.This indicates that the proposed method has higher adaptive allocation efficiency.

Multiple-Objective Optimization and Design of Series-Parallel Systems Using Novel Hybrid Genetic Algorithm Meta-Heuristic Approach

In this study, we develop a new meta-heuristic-based approach to solve a multi-objective optimization problem, namely the reliability-redundancy allocation problem (RRAP). Further, we develop a new simulation process to generate practical tools for designing reliable series-parallel systems. Because the?RRAP is an NP-hard problem, conventional techniques or heuristics cannot be used to find the optimal solution. We propose a genetic algorithm (GA)-based hybrid meta-heuristic algorithm, namely the hybrid genetic algorithm (HGA), to find the optimal solution. A simulation process based on the HGA is developed to obtain different alternative solutions that are required to generate application tools for optimal design of reliable series-parallel systems. Finally, a practical case study regarding security control of a gas turbine in the overspeed state is presented to validate the proposed algorithm.

基于Theil指数和Gini系数的教师资源配置均衡性分析

收集韶关市22所初级中学的教师资源数据,分别计算韶关市中级以上教师数、本科以上教师数、中青年教师数的Theil指数和Gini系数,并对Theil指数进行分解.通过将计算得到的Theil指数和Gini系数结果进行对比发现,Theil指数和Gini系数计算结果基本一致,在教师资源配置均衡性评价中,Theil指数与Gini系数可结合应用进行综合评价.

Optimization of QoS Parameters in Cognitive Radio Using Combination of Two Crossover Methods in Genetic Algorithm

Radio Cognitive (RC) is the new concept introduced to improve spectrum utilization in wireless communication and present important research field to resolve the spectrum scarcity problem. The powerful ability of CR to change and adapt its transmit parameters according to environmental sensed parameters, makes CR as the leading technology to manage spectrum allocation and respond to QoS provisioning. In this paper, we assume that the radio environment has been sensed and that the SU specifies QoS requirements of the wireless application. We use genetic algorithm (GA) and propose crossover method called Combined Single-Heuristic Crossover. The weighted sum multi-objective approach is used to combine performance objectives functions discussed in this paper and BER approximate formula is considered.

The evolution of the spatial-temporal patterns of global energy security since the 1990s

In this study, we developed an energy security evaluation model(ESEM) from three dimensions, energy supply-transport security, safety of energy utilization, and stability of political-socioeconomic environment, based on the integrated application of subjective and objective weight allocation technique. Then the spatial-temporal evolution of global energy security pattern and its driving mechanism was analyzed with the method above, and the results are shown as follows:(1) since the 1990 s, the spatial patterns of global energy security have shown a deteriorating trend, with the growth of countries in at-risk type and relatively at-risk type.(2) The spatial distribution of countries with secure energy system shows a strong stability, and these countries are concentrated persistently in Western Europe and North America. The spatial evolution of countries with relatively secure energy system also presents a strong stability, which are mainly distributed in the periphery of the secure ones, namely Central and Southern Europe, South America and Eurasia, while countries with general energy system are mainly distributed in Asia, Africa and Southern Europe, and the spatial-temporal evolution of this type is the main cause for the deterioration of world energy security pattern. Countries with at-risk and relatively at-risk energy system are mainly concentrated in Africa, Asia, the Middle East and Eurasia, rendering spatial extension to the east and south.(3) In the past 20 years, the mechanism for world’s energy security pattern formation gradually transforms from the ‘unitary dimension dominated’ to the ‘binary dimension-dominated’, and the main factors influencing the global energy security pattern become more diverse.(4) In the pattern of world’s energy security, China’s performance on energy security has been the global average since the 1990 s, which shows a decreasing trend in safety of energy utilization dimension. Findings in this study can provide a reference for the government in terms of formulating strategic responses and policy options.

Centralized Dynamic Spectrum Allocation in Cognitive Radio Networks Based on Fuzzy Logic and Q-Learning

A novel centralized approach for Dynamic Spectrum Allocation (DSA) in the Cognitive Radio (CR) network is presented in this paper. Instead of giving the solution in terms of formulas modeling network environment such as linear programming or convex optimization, the new approach obtains the capability of iteratively on-line learning environment performance by using Reinforcement Learning (RL) algorithm after observing the variability and uncertainty of the heterogeneous wireless networks. Appropriate decision-making access actions can then be obtained by employing Fuzzy Inference System (FIS) which ensures the strategy being able to explore the possible status and exploit the experiences sufficiently. The new approach considers multi-objective such as spectrum efficiency and fairness between CR Access Points (AP) effectively. By interacting with the environment and accumulating comprehensive advantages, it can achieve the largest long-term reward expected on the desired objectives and implement the best action. Moreover, the present algorithm is relatively simple and does not require complex calculations. Simulation results show that the proposed approach can get better performance with respect to fixed frequency planning scheme or general dynamic spectrum allocation policy.

协调公平与效率的“四水四定”研究Ⅰ:方法与模型

针对水资源刚性约束落地缺抓手的问题,按照以水定发展、协调定规模的理念,提出“四水四定”的分析思路和控制指标,厘清各类发展目标与水资源利用的协调关系。以公平为社会目标,以效益为经济目标,提出“尊重现状、保障刚需、效率驱动、区域均衡”的协调优化准则,建立目标函数和约束条件,构建“四水四定”多目标协调模型,以满足保障刚性需求基础上的水量高效流转,确定发展规模和水量分配方案。模型选取人均GDP最大实现效率驱动,使有限水量产生更大效益;选取区域人均GDP差异最小、发展匹配度最高实现发展公平,缩小区域经济差异;通过约束条件反映水资源约束、刚性需求保障、水源用户配置关系、经济社会发展合理范围等要求;设置罚函数协调约束条件不能满足时的目标值调整。通过归一化方法将多目标转化为单目标,基于现状设置初始条件,采用线性规划等方法求解,得出协调产业发展和水量优化分配的整体结果,通过结果评价反馈调整,形成可服务于经济社会发展和水资源管控决策的方案。