Cooperative Scheme Research Articles

The entry retained along gob side with small coal pillar and its surrounding rock control: a case study.

In order to effectively control the large deformation of coal pillar and roadway during entry retained along gob side with small coal pillar, taking 1311 and 1312 working faces of a coal mine in Shanxi Province as engineering background, the structural characteristics of overlying rock are studied, and the stress source of entry retained along gob side with small coal pillar and the principle of roof cutting and pressure relief are analyzed, then the roof cutting and pressure relief technology of shaped charge blasting with combined and grouped of deep and shallow holes is put forward. According to the geological conditions of 1311 working face, through the calculation of caving zone and crack zone height of the working face, the analysis of roof breaking and instability conditions and the calculation of crack zone blasting radius, the key parameters of roof cutting by deep and shallow hole combined blasting are determined. Through the numerical simulation and analysis of roof cutting and pressure relief in different key strata, the variation law of vertical stress acting on small coal pillar is obtained, as follows: no roof cutting > only cut layer 2 > only cut layer 1 > cut layer 3 + partial layer 2 > cut layer 1 ~ 3; Based on these, a cooperative control scheme of "roof cutting and pressure relief by shaped charge blasting with combined and grouped of deep and shallow holes" + "anchor-cable combined support" + "coal pillar strengthened" is put forward. The field industrial test results show that the control effect of small coal pillar and roadway surrounding rock is good.

Cooperative control of leader–follower ships with prescribed performance

With consideration of prescribed performance, the robust cooperative control of leader–follower ships with the existence of ocean disturbances and model uncertainties is studied. The environmental disturbances are modeled as the harmonics disturbances with unknown amplitude and frequency, which are evaluated using an adaptive disturbance observer(ADO). Meanwhile, the model uncertainties is approximated utilizing the neural network, and the prescribed performance method is employed so that the tracking errors can be limited to the predefined set. Then the anti-disturbance cooperative control strategy is presented such that the system states are uniformly ultimately bounded, in addition, the collaborative motion among the leader–follower formation ships are achieved. Eventually, comparative simulations are employed to validate the cooperative control method.

Cooperation and Production Strategy of Power Battery for New Energy Vehicles Under Carbon Cap-and-Trade Policy

Considering the supply chain composed of a power battery supplier and a new energy vehicle manufacturer, under the carbon cap-and-trade policy, this paper studies the different cooperation modes between the manufacturer and the supplier as well as their strategies for green technology and power battery production. Three game models are constructed and solved, respectively, under the collaboration mode of wholesale purchasing, patent-licensed manufacturing, and own R&D + Wholesale purchasing. The equilibrium analysis is carried out. Finally, the influence of relevant parameters is explored through numerical simulation. It is found that (1) the manufacturer’s choice of optimal battery production strategy is influenced by the input cost of green technology, the production cost of power battery, the carbon trading price, and the free carbon quota allocated by the government; (2) the cost coefficient of technological innovation affects negatively the optimal decision-making of the supply chain members, the market demand, and the optimal profit, and it has no impact when the cost coefficient reaches a certain value; (3) carbon cap-and-trade policy can, to a certain extent, incentivize suppliers and manufacturers to carry out technological innovation to reduce carbon emissions in the production process, but we cannot ignore the negative impacts of excessively high carbon trading price on the level of emission reduction and the market demand; and (4) the government should reasonably control the carbon price and carbon quota. The above conclusion will provide reference suggestions for new energy vehicle manufacturers and related suppliers.

Optimizing Volleyball Bottom Passing Skills: Unveiling the Impact of the STAD Learning Model on Learning Outcomes

The study focused on improving the lower passing skills of 8th-grade female students at SMP Negeri 6 Sumedang in volleyball. Recognizing the significance of passing in enhancing team attacks and overall match performance, the researcher employed the student teams achievement division (STAD) learning model to address existing skill deficiencies. The research identified common issues in lower passing execution, including imperfect movement stages, improper ball contact in the hands, ball deviation from the intended target, and an inability to control the ball’s direction. The results indicated a positive impact, with a significant increase in the lower passing skills observed during the volleyball underpassing tests. The t-test results, with T_count = 16.4 > T_table = 1.725, demonstrated a statistically significant improvement, confirming that the STAD learning model contributed to enhanced learning outcomes. In summary, the research concluded that the application of the STAD learning model positively influenced the learning outcomes related to lower passing skills in volleyball among 8th-grade female students at SMP Negeri 6 Sumedang. The findings emphasized the efficacy of employing cooperative learning strategies, such as STAD, to address specific skill challenges in sports education. Keywords: STAD, bottom passing, volleyball

Cooperative Strategies in Transboundary Water Pollution Control: A Differential Game Approach

This paper, based on differential game theory, examines governance models and cooperative strategies for managing cross-border water pollution in regions with uneven economic development. To address cross-regional water pollution, three differential game models are constructed under different scenarios: the Nash noncooperative mechanism, the pollution control cost compensation mechanism, and the collaborative cooperation mechanism. This study analyzes the dynamic changes in pollution emissions, governance investments, and economic returns within each model. The results indicate that the collaborative cooperation mechanism is the most effective, as it significantly reduces pollution emissions, maximizes overall regional benefits, and achieves Pareto optimality. In comparison, the pollution control cost compensation mechanism is suboptimal under certain conditions, while the Nash noncooperative mechanism is the least efficient, resulting in the highest pollution emissions. Furthermore, the research explores the influence of cooperation costs on the selection of governance models. It finds that high cooperation costs reduce local governments’ willingness to engage in collaborative cooperation. However, an appropriate compensation mechanism can effectively encourage less-developed regions to participate. Numerical analysis confirms the dynamic evolution of pollution stocks and economic returns under different models, and provides corresponding policy recommendations. This paper offers theoretical insights and practical guidance for cross-regional water pollution management, highlighting the importance of regional cooperation and cost-sharing in environmental governance.

VLIK from Madrid to Vienna: the Search for a New Political Direction in the Liberation of Lithuania

The Supreme Committee for the Liberation of Lithuania (Vyriausiasis Lietuvos išlaisvinimo komitetas, VLIK), relying on its right to speak on behalf of the subjugated nation and its belief in the meaning of the Helsinki Accords, emphasised the importance of the Madrid conference for the liberation activities of Lithuania. One more aspect of the Final Act of the Conference on Security and Cooperation in Europe, specifically the territorial integrity principle applicable to the liberation process of the Baltic States, was raised in the Spanish capital. Starting in 1981, the VLIK sought to draw international attention to the situation of Lithuanian dissidents in the Soviet Union and drafted memoranda on the situation in Lithuania. After it was ascertained that there was no possibility to raise the case of Lithuania’s freedom at the United Nations, focus was shifted to the situation evolving in Europe. A permanent VLIK representative for maintaining contacts with the European Parliament (EP) was therefore appointed. In co-operation with the Lithuanian diplomatic service and political organisations, the VLIK operated consistently and saw the passing of an EP resolution on the situation in the Baltic States in 1983. Observing signs of a new political trend in the liberation process of Lithuania, the VLIK sought to ensure that the ‘passive position of non-recognition of the occupation of Lithuania’ would become ‘an active and effective campaign’. To this end, expanding the geographical scope of its political activities, the VLIK established and strengthened its representative offices in North and South America, Australia, and Europe. The earlier strategy of cooperation between Lithuanians in the free world and those in the occupied country remained. Having established its intention to restore the ‘execution of the sovereign powers of Lithuania’, VLIK urged political figures at the Vienna conference to hold ‘a broader campaign in Europe’.

LFL-COBC: Lightweight Federated Learning on Blockchain-Based Device Contribution Allocation

In the distributed cyber-physical systems (CPSs) within the industrial domain, the volume of data produced by interconnected devices is escalating at an unprecedented pace, presenting novel opportunities to enhance service quality through data sharing. Nevertheless, data privacy protection emerges as a significant challenge for data providers in wireless networks. This paper puts forward a solution integrating blockchain and lightweight federated learning, designated as LFL-COBC, which aims to tackle the issues related to data privacy and device performance optimization. We initially analyze multiple dimensions influencing the performance of computing devices, such as mining capacity, data quality, computational efficiency and local device deviation, which are crucial for augmenting user engagement. Based on these dimensions, we deduce a set of cooperation strategies for selecting the optimal committee members and rewarding the contributions of node devices equitably, thereby stimulating cooperation between users and servers. To intelligently and automatically detect device anomalies and alleviate the operational burden, a convolutional neural network (CNN) model is employed. Additionally, to address the escalating cost of customer participation and the potential data explosion issue, a near-optimal model pruning algorithm is designed. This algorithm can make the model obtained from the training of node equipment lightweight, thereby reducing the load of federated learning and the blockchain, as well as enhancing the overall efficiency of the system. The efficacy of our approach is demonstrated through numerical experiments on the HDFS and BGL public data sets. Experimental results indicate that the LFL-COBC scheme can effectively safeguard data privacy and optimize device performance concurrently, providing an effective solution for device anomaly detection in CPSs.

Economic Cooperation and Development Strategies in New Energy Technology Between China and Central and Eastern European Countries in the 21st Century

Abstract: In the 21st century, the economic cooperation in new energy technologies between China and Central Eastern European countries is becoming more and more important. China, being the worlds largest energy consumer and a significant investor in sustainable energy, plays a pivotal role in this global transformation. This paper will study about the current state of this cooperation, existing challenges and opportunities. It will also talk about the development strategies for strengthening collaboration. The case study will be focused a successful program between China and Poland, highlighting the factors that contributed to its achievements. On the contrary, the failed project between China and Romania is also examined to understand the experiences and lessons. The paper aims to offer ideas and advices on improving economic and technological cooperation in the new energy sector. By highlighting the key experiences, fully showing the potential of the partnership between China and Central Eastern European countries in developing sustainable energy in the future.

Implementing the “Belt and Road” Initiative in Central Asia in a Pandemic: A Regional Risk Assessment

The relevance of the study stems from the need to assess the impact of the “Belt and Road” Initiative on the economic and political situation of the Central Asian states. In this context, article aims to identify features of the Central Asian states that may, in the process of deepening regional cooperation with the People’s Republic of China, lead to a dependency on it. The following research methods were also used: qualitative and quantitative analysis of scientific sources and documents, analysis of statistical data, discourse analysis, intents analysis, comparative analysis, method of synthesis, deduction. The article presents the results of the survey, revealing not only the strengthening of China’s economic influence in the region, but also, according to some experts, the increasing political influence that is reflected in the public and political discourse of the region’s countries and entails an increase in anti-Chinese sentiment in the form of debt obligations of Central Asian states to Chinese banks, revealing that the coronavirus pandemic and the ensuing economic crisis showed the need to find new ways of economic development. It justifies the importance of building a new cooperation strategy that could maintain a certain balance between the world centers of power – China, the United States and Russia, taking into account the interface between the Eurasian Economic Union project and the “Belt and Road” Initiative. The articles are of practical value in terms of a current expert assessment of the “Belt and Road” Initiative’s impact on the geopolitical and geo-economic situation during COVID-19.

Major-auxiliary cooperative metal pairs in MOFs enable cascade oxidation of KA oil to ε-caprolactone

Direct oxidation of KA oil (the mixture of cyclohexanone and cyclohexanol) toward ε-caprolactone is in high demand yet hard to implement in need of juggling the activation of both methyne C-H bond of cyclohexanol and α-C-C bond of cyclohexanone. Here we demonstrate that in situ formed Cu1+δ-Oδ-• active site, which originates from relay reaction at Ni(II) and Cu(I) pairs in a metal-organic framework (known as NiCu-MOF-74) with O2 and benzaldehyde (PhCHO), efficiently oxidizes KA oil toward ɛ-caprolactone along with good stability. Mechanism investigation discloses that the auxiliary Ni(II) site first adsorbs O2 for abstracting formyl hydrogen in PhCHO followed by transfer of PhCO· to react with another O2 over the major Cu(I) site, leading to formation of Cu1+δ-Oδ-• and PhCOOH. This major-auxiliary cooperative strategy will be particularly suitable for multivariate MOFs as next generation catalysts towards complex reactions.

Industrial Symbiosis Practices: A Case Study of Türkiye and Denmark

The term "industrial symbiosis (IS)" refers to a cooperative strategy where industrial actors share services and exchange physical resources. This method improves resource efficiency and lessens the environmental effects of industrial operations within the network. It is a cooperative method in which businesses trade and reuse physical resources such as by-products, water, and energy, as well as share services such as waste management and infrastructure. It has several advantages, such as (i) lowering greenhouse gas emissions through energy, process, input, disposal, and transportation savings, as well as fuel substitution; (ii) cutting energy expenses; (iii) diverting waste from landfills; (iv) avoiding the use of virgin materials; (v) lowering transportation and logistics costs; (vi) lowering pollution to land, water, and air; (vii) lowering industrial water use; (viii) lowering hazardous waste; (ix) creating economic value from waste material; and (x) simplifying environmental legislation and regulation compliance. In Türkiye and Denmark, the number of industrial companies is rapidly increasing. These industries consume many resources (such as raw materials, water, electricity, natural gas, coal, etc.) and generate a large amount of solid, liquid, and gaseous waste. IS is gaining popularity as an approach for improving the sustainability of industrial systems. The efforts to develop IS have emerged as a critical issue over the last decade in these two European countries. The paper presents the current implementation of IS in Türkiye and Denmark’s process sectors, focusing on well-known IS practices.

Research on Multi-Scenario Simulation of Urban Expansion for Beijing–Tianjin–Hebei Region Considering Multilevel Urban Flows

With the development of urban agglomerations in China, the study of the interactions between cities has become a popular and difficult issue. Exploring the interactions between cities can help decision-makers optimize regional resource allocation and improve regional spatial patterns. Combining the urban flow model and the patch-generating land use simulation (PLUS) model, this study simulates and analyzes the process of urban expansion in the Beijing–Tianjin–Hebei (BTH) region, and investigates the impact of urban hierarchical structure differences on urban expansion. In this study, the role and influence of inter-city economy flow, transportation flow, population flow, and information flow on the development of urban agglomerations are comprehensively considered, and a multilevel urban interaction model is constructed based on a hierarchical generalized linear model (HGLM). Based on the national BTH cooperation and development strategy, a multi-scenario simulation study of urban expansion is carried out using the HGLM-PLUS model. The results indicate the following: (1) compared to the traditional PLUS model, the coupled HGLM-PLUS model, which considers multilevel urban flows, improved the overall accuracy by 0.047, the Kappa coefficient by 0.207, and the figure of merit (FoM) index by 0.051; (2) under different simulation scenarios, the development trend under the cooperation and development policy in the BTH region is more stable, demonstrating a relatively smooth urbanization expansion trend; and (3) under the BTH cooperation and development background, the total area of construction land in the BTH region is expected to be maintained at around 1,164,500 km2 by 2040. The spatial expansion pattern will present a networked expansion with the core driving development, axes and belts connecting, and clusters breaking through.

Dynamics modeling and simulation for satellites with optoelectronic tracking system

Abstract The optoelectronic tracking system has a strong coupling between the tracking platform and the satellite platform when rapidly capturing and precisely tracking targets. The high-precision coordinated pointing control between the two platforms is a key technology in the fields of space laser communication, debris monitoring, and astronomical observation. Firstly, a multi-level coupled dynamics model of spacecraft with two-dimensional (2D) motion platforms is derived based on the principles of momentum and angular momentum. Secondly, the coupling effects between the motion platform and the satellite platform are theoretically analyzed, highlighting the impact of platform orientation, configuration, mass properties, and motion characteristics on the coupling. Finally, a multi-level platform cooperative control strategy is proposed, and the model and control strategy are validated through mathematical simulations. The results show that the model is consistent with simulation results from ADAMS software, and the satellite attitude accuracy under the cooperative control strategy can be improved by 80%.

Comparative analysis of communication strategies impact on the effectiveness of interaction with an AI chatbot

Introduction. The integration of artificial intelligence (AI) into everyday human interactions, particularly through chatbots, has significantly increased in recent years. AI-based chatbots successfully mimic human conversations by understanding user requests and responding appropriately. Improving the effectiveness of educational and professional activities related to text processing in these conditions seems extremely relevant and predetermines the goal of our study: comparing the effectiveness of interaction with ChatGPT when formulating queries in various communication strategies. Procedure and methods. The study on the effectiveness of interacting with ChatGPT was conducted using a natural experiment scheme with preliminary training. The subjects of the study were 34 employees (15 men, 19 women, aged 25-36; M = 31.6; SD = 1.8) from the marketing department of the company "Technologies of Trust". These employees performed rewriting tasks by interacting with ChatGPT within the framework of specially adapted communication strategies (persuasive and cooperative) and evaluated the chatbot's usability and the quality of the text generated by ChatGPT. The Wilcoxon signed-rank test for dependent samples was used to identify the effects of communication strategies on interaction efficiency, and exploratory factor analysis with subsequent varimax rotation was employed to identify latent variables of interaction under different communication strategies. Research Results. Comparison of the results of the ChatGPT interaction performance evaluation when using 2 strategies (cooperative and persuasive) showed that for all 11 usability indicators, there is a significant advantage of the cooperative communicative strategy at the significance level of p<0.05. However, on 6 indicators of text quality obtained through rewriting, the persuasive strategy shows advantages and on 4 of them at a significance level of p<0.05. In the course of the study it was found that the factor solutions for the studied communicative strategies differ significantly: the key factor in using the persuasive strategy is speed and accuracy in achieving goals, while in the cooperative strategy the adequate response of chatbots to objections is critical. Conclusion. The results obtained in the study contribute significantly to the understanding of communication with AI chatbots, highlighting the nuances of interacting through linguistic means typical for human communication. The findings demonstrate the complexity of choosing the optimal strategy for interacting with ChatGPT and uncover the factors that determine the features of subjective evaluation of the interaction.

Dual-path differential perturbation sand cat swarm optimization algorithm integrated with escape mechanism

In this paper, based on the sand cat swarm optimization (SCSO) algorithm, a dual-path differential perturbation sand cat swarm optimization algorithm integrated with escape mechanism (EDSCSO) is proposed. EDSCSO aims to solve the problems of the original SCSO, such as the limited diversity of the population, low efficiency of solving complex functions, and ease of falling into a local optimal solution. First, an escape mechanism was proposed to balance the exploration and exploitation of the algorithm. Second, a random elite cooperative guidance strategy was used to utilize the elite population to guide the general population to improve the convergence speed of the algorithm. Finally, the dual-path differential perturbation strategy is used to continuously perturb the population using two differential variational operators to enrich population diversity. EDSCSO obtained the best average fitness for 27 of 39 test functions in the IEEE CEC2017 and IEEE CEC2019 test suites, indicating that the algorithm is an efficient and feasible solution for complex optimization problems. In addition, EDSCSO is applied to optimize the three-dimensional wireless sensor network coverage as well as the unmanned aerial vehicle path planning problem, and it provides optimal solutions for both problems. The applicability of EDSCSO in real-world optimization scenarios was verified.

Cooperative control strategy of variable evaporation temperature and variable superheat degree for a VRF system to improve temperature stability in multiple rooms

The energy consumption of variable refrigerant flow (VRF) systems can be reduced by adopting the variable evaporation temperature and constant superheat degree (VECS) control strategy instead of constant evaporation temperature and constant superheat degree (CECS) control strategy. However, the constant superheat degree control strategy may weaken the adjustment ability of cooling capacity of indoor units, and result in obvious room temperature fluctuations. In order to decrease room temperature fluctuations and reduce energy consumption simultaneously, a cooperative control strategy of variable evaporation temperature and variable superheat degree (VEVS) is proposed, i.e. one indoor unit is chosen to be controlled by variable evaporation temperature and the rest of the indoor units are controlled by variable superheat degrees. In this control strategy, the target value of evaporation temperature is the lowest value among the upper limits of the evaporation temperatures of all indoor units, and the target values of the superheat degrees of indoor units are predicted according to the cooling demands of rooms. Comparative experiments on room temperature fluctuation and energy consumption among the control strategies of CECS, VECS and VEVS are done. It is shown that both the control strategies of VECS and VEVS achieve smaller room temperature fluctuation and lower energy consumption than those of CECS; compared with the VECS control strategy, the average room temperature fluctuation of the VEVS control strategy is decreased from 1.1°C to 0.5°C due to variable superheat degree, and the energy consumption of the VEVS control strategy is reduced by 4.4%.

Variable speed limit control strategy considering traffic flow lane assignment in mixed-vehicle driving environment

To accurately predict traffic flow and optimize the operations of freeway bottleneck areas in a mixed-vehicle driving environment, this paper proposes a traffic prediction model and a variable speed limit (VSL) cooperative control strategy. Firstly, a lane-level short-term traffic prediction model, physics informed Transformer and cell transmission model (PIT-CTM), is constructed by combining the Transformer neural network and lane-level cell transmission model (CTM) based on the physics-informed deep learning framework. On this basis, the accuracy and transferability of PIT-CTM are analysed. Secondly, a lane assignment decision model is presented, which enables the dynamic planning of the optimal traffic distribution across lanes. Furthermore, a lane-level VSL control model is constructed based on the model predictive control (MPC) framework. The model induces vehicles to change lanes earlier by setting the speed limit difference between lanes. By regulating the input flow in the bottleneck area of the freeway, it reduces conflicts between mainline vehicles and ramp vehicles. Finally, the feedback regulation between the lane assignment decision model and the lane-level VSL control model promotes the cooperative optimisation of the lateral and longitudinal flows and adapts the control strategy to the dynamic traffic characteristics. A three-lane freeway merging zone is selected, the numerical experiment is conducted and compared with differential lane-level VSL. The results show that the strategy can effectively optimise the mixed-vehicle traffic state and maintain better control performance under any connected and autonomous vehicle (CAV) penetration rates.

An integrated decision-execution framework of cooperative control for multi-agent systems via reinforcement learning

Cooperative control is both a crucial and hot research topic for multi-agent systems (MASs). However, most existing cooperative control strategies guarantee tracking stability under various non-ideal conditions, while the path decision capability is often ignored. In this paper, the integrated decision-execution (IDE) framework is newly presented for cooperative control of multi-agent systems (MASs) to accomplish the integrated task of path decision and cooperative execution. This framework includes a decision layer and a control layer. The decision layer generates a continuous trajectory for the virtual leader to reach the target from its initial position in an unknown environment. To achieve the goal of this layer, (1) the Step-based Adaptive Search Q-learning (SASQ-learning) algorithm is proposed based on reinforcement learning to efficiently find the discrete path, (2) an Axis-based Trajectory Fitting (ATF) method is developed to convert the discrete path into a continuous trajectory for mobile agents. In the control layer, this trajectory is used to regulate the following MASs to achieve cooperative tracking control with the presence of input saturation. Simulation experiments are presented to demonstrate the effectiveness of this framework.

MCMS submersibles: A safe undersea adventure

Abstract. Maritime Cruises Mini-Submarines (MCMS), a company based in Greece, aims to offer safe and deep-sea exploratory experiences to tourists. This paper discusses the primary challenges involved in ensuring tourist safety, particularly focusing on maintaining security in scenarios of mechanical failures or lost communication with the main vessel. We propose comprehensive safety protocols and technological solutions tailored for deep-sea tourist submersibles. The analysis begins with a detailed study of the forces acting on a submersible, considering both operational modes and the impact of ocean currents, utilizing a rigid-body coordinate system and Eulerian angular coordinate transformations to describe the submersibles motion comprehensively. We derive motion and safety parameters by solving the force differential equations, allowing the host ship to predict the submersibles position accurately. In addressing the recovery of lost submersibles, our approach evaluates power loss scenarios and search efficiency, recommending an optimal combination of hydroacoustic and frequency-hopping communication technologies for reliable, low-loss data transmission. We further enhance search methodologies by integrating motion parameters and ocean current dynamics to pinpoint probable locations, adjusting search strategies dynamically based on real-time data, and employing probabilistic models to optimize resource allocation during search operations. A case study in the Caribbean Sea exemplifies applying these methodologies, incorporating localized flow regimes and cooperative communication strategies among multiple submersibles to improve operational efficiency and safety.

The Impact of Trade Liberalization on China-ASEAN Trade Relations along the Belt and Road: An Augmented Gravity Model Analysis

While trade liberalization has become increasingly important in global economic integration, little is known about its specific impact on China-ASEAN bilateral trade relations within the Belt and Road Initiative framework, particularly regarding cultural factors. This study addresses this gap by examining how trade liberalization affects bilateral trade dynamics between China and ASEAN nations, with special attention to linguistic and religious proximity as potential moderators. Using an augmented gravity model and panel data from 2012-2022, we find that increased trade liberalization significantly enhances bilateral trade volumes, with stronger effects in export trade compared to imports. Moreover, shared linguistic foundations and religious beliefs amplify these positive effects, particularly in ASEAN countries with lower economic development levels. These findings provide crucial insights for policymakers seeking to strengthen regional economic integration and optimize trade cooperation strategies along the Belt and Road.