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The purpose of this study is to explore a new assembly process planning and execution mode to realize rapid response, reduce the labor intensity of assembly workers and improve the assembly efficiency and quality.

Based on the related concepts of digital twin, this paper studies the product assembly planning in digital space, the process execution in physical space and the interaction between digital space and physical space. The assembly process planning is simulated and verified in the digital space to generate three-dimensional visual assembly process specification documents, the implementation of the assembly process specification documents in the physical space is monitored and feed back to revise the assembly process and improve the assembly quality.

Digital twin technology enhances the quality and efficiency of assembly process planning and execution system.

It provides a new perspective for assembly process planning and execution, the architecture, connections and data acquisition approaches of the digital twin-driven framework are proposed in this paper, which is of important theoretical values. What is more, a smart assembly workbench is developed, the specific image classification algorithms are presented in detail too, which is of some industrial application values.

The purpose of this paper is to use the viscosity of fluid to transmit power known as the hydro-viscous drive (HVD) to research the effect of two-phase flow on transmission characteristics.

In this paper, a 3D computational model of oil film between friction pair was built to study the transmission characteristics of a two-phase oil film, and the distribution contours of pressure and temperature of oil film were investigated using the computational fluid dynamics technology.

The finding of the paper suggests that the distribution law of pressure and temperature of two-phase oil film is almost linear along the radial direction. However, since the physical phenomena near the outlet of the oil film are entirely different, there exists fluctuation. Meanwhile, the volume fraction of air was obtained at different rotation speeds, and the maximum value is 10.55 percent. Compared to the single-phase oil film, the torque transferred by the oil film is not linear with the rotation speed, its value decreases gradually.

This paper’s conclusions are very important for the study of HVD and its applications, which provide a new idea to further study the mechanism of oil film transmission and its cavitation. The development of fluid viscous speed clutch is dedicated to a large industrial fan and water pump speed regulation and energy saving. With the successful application of the technology, it will have more wide applications in different fields, such as, in steel, water, petrochemical, power plant of slag pump and exhaust fan.

This paper aims to investigate the effect of transformational leadership (TL), behavioral integration of top management team (TMT) and team conflict on manager ambidexterity behavior.

Hierarchical linear modeling has been applied to test the degree of influence of TL and behavioral integration of TMT on manager ambidexterity using data collected from 60 chief executive officers (CEOs) and 322 TMT members of small- and medium-sized enterprises in the Chinese electronic commerce industry.

The results suggest the following: transformational leadership is positively associated with the behavioral integration of TMT and a high level of TMT behavioral integration strengthens the positive relationship between transformational leadership and manager ambidexterity. Also, team conflict moderates the mediating role of TMT behavioral integration in the relationship of transformational leadership to manager ambidexterity.

First, this study does not directly test whether transformational leadership encourages a focus on manager ambidexterity, although the results on behavioral integration draw attention to the usefulness of such leadership. Second, in focusing on manager ambidexterity, this paper omits key variables, especially skills and abilities.

Given that several aspects of leadership can be learned and adjusted, the findings suggest that organizations can improve their individual ambidexterity by helping the CEOs develop and display transformational leadership through training and mentoring. TMTs were found to rely mostly on the behavioral integration approach (collaborative behavior, quality of information exchange and joint decision-making) and team conflict management. Such reliance, in turn, predicts effective team behavioral coordination and subsequent manager ambidexterity.

First, this study goes beyond the current research that focuses primarily on ambidexterity at the inter-organizational alliance, firm and business unit levels. This earlier research lacks a conceptually and empirically validated understanding of ambidexterity at the level of the manager. In contrast, by investigating and examining the antecedents of manager ambidexterity behavior, the study develops an individual perspective to elucidate the ambidextrous mechanisms. Second, the study also contributes by explaining how transformational leadership relates to manager ambidexterity. To date, only limited research has disentangled how transformational leaders enhance managers’ teamwork (e.g. behavioral integration) and how such leaders affect the ambidextrous orientation of managers.

The purpose of this paper is to design and implement a novel type of PCI eXtension for Instruments (PXI) bus‐based airborne data transfer equipment (DTE) test system.

First, the basic principle of PXI bus is introduced in detail. Then, the hardware and software are developed for the PXI bus‐based airborne DTE test system. Based on the description of the basic conceptions of rough set theory, a novel hybrid approach for fault diagnosis in PXI bus‐based airborne DTE test system is proposed, which is based on rough set theory, genetic algorithm and neural network. Combining with rough set theory, genetic algorithm is used to compute the reductions of the decision table. Subsequently, the condition attributes of decision table are regarded as the input nodes of neural network and the decision attributes are regarded as the output nodes of neural network correspondingly.

The exact application results are also presented to verify the feasibility and effectiveness of the developed PXI bus‐based airborne DTE test system, and the test results can also be saved automatically. The exact application results show that the various faults within the PXI bus‐based airborne DTE test system can be located on board level, and the newly developed airborne DTE test system is also easy to be extended and upgraded.

The proposed hybrid rough set theory, genetic algorithm and neural network approach could reduce the number of attributes in the decision table, simplify the structure of neural network and improve the ability of generality. The airborne DTE test system is also capable of different unit under test (UUT), which can be selected by the definite operators at the start of the test, to ensure that failures and problems are handled automatically and without intervention. This newly developed PXI bus‐based airborne DTE test system can be located on board level, and it is also very easy to be extended and upgraded. Practical implementations show that hidden errors can be effectively detected by the developed PXI bus‐based airborne DTE test system. The proposed methodology can help improve the general performance of the airborne DTE test system, and the faults can be checked with minimum time and effort. This system can enhance the army combat capability efficiently.

This paper develops a novel type of PXI bus‐based airborne DTE test system. In particular, a hybrid approach for fault diagnosis in PXI bus‐based airborne DTE test system is proposed, which is based on rough set theory, genetic algorithm and neural network. This approach provides an effective way to diagnosis the faults of the airborne DTE test system.

The purpose of this paper is to propose a new algorithm for pendulum‐like oscillation control of an unmanned rotorcraft (UR) in a reconnaissance mission and improve the stabilizing performance of the UR's hover and stare.

The algorithm is based on linear‐quadratic regulator (LQR), of which the determinable parameters are optimized by the artificial bee colony (ABC) algorithm, a newly developed algorithm inspired by swarm intelligence and motivated by the intelligent behaviour of honey bees.

The proposed algorithm is tested in a UR simulation environment and achieves stabilization of the pendulum oscillation in less than 4s.

The presented algorithm and design strategy can be extended for other types of complex control missions where relative parameters must be optimized to get a better control performance.

The ABC optimized control system developed can be easily applied to practice and can safely stabilize the UR during hover and stare, which will considerably improve the stability of the UR and lead to better reconnaissance performance.

This research presents a new algorithm to control the pendulum‐like oscillation of URs, whose performance of hover and stare is a key issue when carrying out new challenging reconnaissance missions in urban warfare. Simulation results show that the presented algorithm performs better than traditional methods and the design process is simpler and easier.

The purpose of this paper is to present a solution space searching method to study the initial design of interplanetary low thrust gravity assist trajectory.

For reducing the complexity and nonlinearity of the initial design problem, a sixth degree inverse polynomial shape based approach is brought. Then some improvements are provided for solving the parameters in the shape function and a quasi‐lambert solver is brought through the shape based method, the thrust profile can be generated under the given time of flight, boundary states including positions and velocities for low thrust phase. Combining gravity assist model, the problem is summarized and an improved pruning technique is used for searching the feasible solution space for low thrust gravity assist trajectory.

Using the solution space searching method, the feasible solution region would be generated under the given mission condition. The treatment about gravity assist demonstrates more accurate than previous method. Also another advantage is that the searching method can be used to design different types of mission trajectory, including flyby and rendezvous trajectories.

The method can be used as an efficient approach to search the feasible region for the complex low thrust gravity assist trajectory, and it can provide appropriate initial guesses for the low thrust gravity assist trajectory in mission design phase.

Feasible solution space would be obtained through the searching method. The quasi‐Lambert solver in the paper is found under the shape‐based method and relative improvement, and it shows its availability during the searching process. Through mission trajectory design, the effectiveness of the method is shown.

The aim of the research is to achieve a robot skin which is easy to use, and can detect both position and force interacted between robot and environments.

The new type of robot skin proposed in this paper includes two functional modules – contact position sensor and contact force sensor. The contact position sensor module is based on the resistor divider principle, which consists of two perpendicular conductive fiber layers and insulated dot spacer between them. The contact force sensor module is based on capacitance change theory, which consists of two soft conductive plates and a viscoelastic layer between them. By combining the two modules, the soft robot skin was designed.

Simulation and experiment results demonstrate that the proposed robot skin design is feasible and effective enough to sense contact position and contact force simultaneously.

This robot skin is low-cost and easy to make and use, which provides safety solutions for most of the robot.

For the first time, an integrated robot skin which can get contact position and force information simultaneously is designed. Unlike general tactile sensor matrices, this robot skin has only six leads. Furthermore, the number of leads does not increase with the enlarging of sensor area. Soft and simple structure of the robot skin makes it possible to cover any region of the robot body.

The purpose of this paper is to propose a control approach for small unmanned helicopters, and a novel swarm intelligence algorithm is used to optimize the parameters of the proposed controller.

Small unmanned helicopters have many advantages over other unmanned aerial vehicles. However, the manual operation process is difficult because the model is always instable and coupling. In this paper, a novel optimized active disturbance rejection control (ADRC) approach is presented for small unmanned helicopters. First, a linear attitude model is built in hovering condition according to small perturbation linearization. To realize decoupling, this model is divided into two parts, and each part is equipped with an ADRC controller. Finally, a novel Levy flight-based pigeon-inspired optimization (LFPIO) algorithm is developed to find the optimal ADRC parameters and enhance the performance of controller.

This paper applies ADRC method to the attitude control of small unmanned helicopters so that it can be implemented in practical flight under complex environments. Besides, a novel LFPIO algorithm is proposed to optimize the parameters of ADRC and is proved to be more efficient than other homogenous methods.

The model of proposed controller is built in the hovering action, whereas it cannot be used in other flight modes.

The optimized ADRC method can be implemented in actual flight, and the proposed LFPIO algorithm can be developed in other practical optimization problems.

ADRC method can enhance the response and robustness of unmanned helicopters which make it valuable in actual environments. The proposed LFPIO algorithm is proved to be an effective swarm intelligence optimizer, and it is convenient and valuable to apply it in other optimized systems.

The purpose of this paper is to propose a new algorithm for linear-quadratic regulator (LQR) controller of a quadrotor with fast and stable performance, which is based on pigeon-inspired optimization (PIO).

The controller is based on LQR. The determinate parameters are optimized by PIO, which is a newly proposed swarm intelligent algorithm inspired by the characteristics of homing pigeons.

The PIO-optimized LQR controller can obtain the optimized parameters and achieve stabilization in about 3 s.

The PIO-optimized LQR controller can be easily applied to the flight formation, autonomous aerial refueling (AAR) and detection of unmanned aerial vehicles, especially applied to (AAR) in this paper.

This research applies PIO to optimize the tuning parameters of LQR, which can considerably improve the fast and stabilizing performance of attitude control. The simulation results show the effectiveness of the proposed algorithm.

The purpose of this paper is to provide a critical and informative exploration of the emerging roles and rising influence of the Global South in shaping the future of global governance. Specifically, it inquires into the following questions: How is the Global South impacting the way we govern globally? What are the pushers, pulls and weights to the futures of global governance? Using Jim Dator’s alternative futures archetype, what is the future of global governance? What are the emerging issues and trends?

It uses Sohail Inayatullah’s futures triangle to map the drivers – the pushes, pulls and weights of global governance and Jim Dator’s archetypes – continued economic growth, collapse, conserver and transformation – to imagine and construct alternative futures of global governance.

The futures triangle analysis maps and reveals three diverse but causally linked Global South narratives of global governance. The pulls of the future include the Brazil, Russia, India, China and South Africa leading the way, and emerging economies reinforcing the pluralization of global governance discourses and systems. New governance regimes create new global governance dynamics and North – South relations. Their increasing social, political and economic clout leads to new governance structures. The Global South’s rising human development index, economic growth, decreasing financial reliance, the rise of minilateralism and South – South cooperation is a push of the present. Weights are recurring financial constraints, their lack of technical capacity, existing international laws, stagnating bureaucracy, poverty, domestic issues and state centrism (among others). Four alternative global governance scenarios emerge: a harmonious world is everybody’s business – a state-centric and economic growth global governance future. Here, the dynamics of global governance remain the same as zero-sum thinking informs the rules of the game. In dangerous transitions and the rise of the rest, however, the status quo is disrupted as power shifts rapidly and detrimentally. Then, in mosaic of the old structure, the South embraces protectionism, and the old vanguards return. Finally, in all boats rise substantially, power is redistributed as emerging states gain larger, formal (and informal) leadership roles in global governance. The global world order is re-designed for the Global South. A world parliament is created and stronger regional confederation or unions emerge.

This paper extensively utilizes existing and emerging literature, official reports, blogs, interviews, books and other digital texts on global governance. The sources relevance is analyzed using the futures triangle tool and dissected to present four detailed scenarios using Dator’s alternative futures archetype. This study seeks to initially explore alternative futures of global governance from the perspective of the Global South. While some studies have approached the topic, only a few authors have addressed global governance using futures tools and methods. The goal of this research is to map and explore some alternative futures of global governance. The paper is less useful in predicting what lies ahead. Its intention is to highlight the “rise of the different” and to create a space for more meaningful conversations on global governance.

This research could provide futurists, policy-makers, international relations scholars and global governance advocates some alternative narratives, frameworks and images of global governance. While it does not offer any specific structures and solutions, it offers a number of emerging issues and perspectives from the Global South that decision-makers and institutions might want to consider as they rethink global governance.

This paper highlights the emerging roles and perspectives of the Global South in global governance. It identifies some “trading zones” and “emerging issues” that may inspire actors to create new global governance spaces, innovate alternative narratives and design new frameworks of global governance.

It maps and constructs some plausible scenarios of global governance that emphasize Global South perspectives while using futures tools and methods.