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Amersfoort Local Municipality implemented the workbench spatial quality method (referred to as workbench method) to enhance participation in green‐planning processes.

As part of the Valuing Attractive Landscapes in the Urban Economy project (made possible by INTERREG IVB North West Europe, European Regional Development Fund, European Territorial Cooperation, 2007‐2013), the method was evaluated based on its contribution to three core issues: understanding the value of green spaces; identifying these values; and planning for the enhancement of thereof.

Based on case studies conducted in Amersfoort, The Netherlands, this interactive method invites people to think about the use and experience values of spatial aspects and rate them according to importance and vulnerability. The method focuses on participatory planning and quality identification.

Assessment of the value of green space will differ between users, experts and between locations.

Meaningful participation processes enhance the sustainability and feasibility of urban development projects, as it captures the real use values and enhances green‐planning initiatives.

The workbench method is a communication tool that enhances social perspectives, social responsibility and awareness of values.

The workbench method stresses the need for participatory processes and the added value that these processes can have on urban development and future green‐planning initiatives. It furthermore identifies adequate ways of approaching participation to ensure successful implementation thereof. The workbench method report 2009 as compiled by the University of Applied Sciences Van Hall Larenstein contains all details and data of the study evaluating the workbench method in terms of stakeholder identification and level of involvement of these stakeholders.

The purpose of this paper is to link economic value to urban green spaces to enhance the value of green urban spaces, along with the added benefit it can offer to the urban environment.

As part of the VALUE project (Valuing Attractive Landscapes in the Urban Economy, made possible by INTERREG IVB North West Europe, European Regional Development Fund, European Territorial Cooperation, 2007‐2013), this development approach was designed to enhance the planning of qualitative urban spaces by linking an economic value to green urban spaces, to enhance value and meaning.

Based on case studies conducted in The Netherlands, the approach proves that by linking an economic value to green urban spaces, space is considered differently, authorities tend to prioritize these spaces and additional spinoffs realize.

The notion of green‐value is subjective and differs between users, experts and between locations.

The paper provides local authorities with a new approach to spatial planning, considering the economic value of green urban spaces.

The paper transforms the way in which green urban spaces are valued and planned; by realizing the intrinsic value of green urban spaces, in terms of social, environmental and economic benefit.

The Value Added Planning approach stresses the need for qualitative planning processes that will enhance future economic value and sustainable development initiatives. The green environment is hard to quantify in terms of economic value, but it is this intrinsic value that can provide future benefit and sustainability in terms of place management and development.

The Green Credit Tool is evaluated as a method to quantify the value of green‐spaces and to determine how these green‐space‐values can be replaced or compensated for within urban spatial planning projects.

Amersfoort Local Municipality created the Green Credit Tool to ensure protection and enhancement of the urban green totality. The tool is described and evaluated based on three core elements: the value matrix, the collection of values and green compensation. Findings were based on case studies in Parkweelde and Randerbroek (Amersfoort, The Netherlands).

Green‐planning is not just about flora and fauna, but also about planning for economic benefits and thus needs to have a quantifiable value. The Green Credit Tool enhances integrated green‐planning by means of the value matrix (identifying values of green), collecting values (participation and stakeholder‐identification) and compensation (protecting green spaces).

Assessment of green values will differ between users, experts and between locations.

The Green Credit Tool introduces a different perspective to green‐spaces that can add value to urban environments and thus creates economic spin‐offs. It stresses the need for environmental issues to play a greater role in future planning processes.

Green‐planning is known to have various psychological benefits. The Green Credit Tool is a communication tool and thus incorporates public opinions, enhances social responsibility and enhances awareness of the broader benefits of green spaces.

The Green Credit Tool creates an integrated approach towards the planning of green‐spaces, enhancing the value of green areas and thus ensuring qualitative urban planning and sustainable economic development.

This study aims to monitor and guide the assembly process. The operators need to change the assembly process according to the products’ specifications during manual assembly of mass customized production. Traditional information inquiry and display methods, such as manual lookup of assembly drawings or electronic manuals, are inefficient and error-prone.

This paper proposes a projection-based augmented reality system (PBARS) for assembly guidance and monitoring. The system includes a projection method based on viewpoint tracking, in which the position of the operator’s head is tracked and the projection images are changed correspondingly. The assembly monitoring phase applies a method for parts recognition. First, the pixel local binary pattern (PX-LBP) operator is achieved by merging the classical LBP operator with the pixel classification process. Afterward, the PX-LBP features of the depth images are extracted and the randomized decision forests classifier is used to get the pixel classification prediction image (PCPI). Parts recognition and assembly monitoring is performed by PCPI analysis.

The projection image changes with the viewpoint of the human body, hence the operators always perceive the three-dimensional guiding scene from different viewpoints, improving the human-computer interaction. Part recognition and assembly monitoring were achieved by comparing the PCPIs, in which missing and erroneous assembly can be detected online.

This paper designed the PBARS to monitor and guide the assembly process simultaneously, with potential applications in mass customized production. The parts recognition and assembly monitoring based on pixels classification provides a novel method for assembly monitoring.

The purpose of this paper is to design a multifingered dexterous hand grasping planning method that can efficiently perform grasping tasks on multiple dexterous hand platforms.

The grasping process is divided into two stages: offline and online. In the offline stage, the grasping solution form is improved based on the forward kinematic model of the dexterous hand. A comprehensive evaluation method of grasping quality is designed to obtain the optimal grasping solution offline data set. In the online stage, a safe and efficient selection strategy of the optimal grasping solution is proposed, which can quickly obtain the optimal grasping solution without collision.

The experiments verified that the method can be applied to different multifingered dexterous hands, and the average grasping success rate for objects with different structures is 91.7%, indicating a good grasping effect.

Using a forward kinematic model to generate initial grasping points can improve the generality of grasping planning methods and the quality of initial grasping solutions. The offline data set of optimized grasping solutions can be generated faster by the comprehensive evaluation method of grasping quality. Through the simple and fast obstacle avoidance strategy, the safe optimal grasping solution can be quickly obtained when performing a grasping task. The proposed method can be applied to automatic assembly scenarios where the end effector is a multifingered dexterous hand, which provides a technical solution for the promotion of multifingered dexterous hands in industrial scenarios.

There are three purposes in this paper: to verify the importance of bi-directional fluid-structure interaction algorithm for centrifugal impeller designs; to study the relationship between the flow inside the impeller and the vibration of the blade; study the influence of material properties on flow field and vibration of centrifugal blades.

First, a bi-directional fluid-structure coupling finite element numerical model of the supersonic semi-open centrifugal impeller is established based on the Workbench platform. Then, the calculation results of impeller polytropic efficiency and stage total pressure ratio are compared with the experimental results from the available literature. Finally, the flow field and vibrational characteristics of 17-4PH (PHB), aluminum alloy (AAL) and carbon fiber-reinforced plastic (CFP) blades are compared under different operating conditions.

The results show that the flow fields performance and blade vibration influence each other. The flow fields performance and vibration resistance of CFP blades are higher than those of 17-4PH (PHB) and aluminum alloy (AAL) blades. At the design speed, compared with the PHB blades and AAL blades, the CFP blades deformation is reduced by 34.5% and 9%, the stress is reduced by 69.6% and 20% and the impeller pressure ratio is increased by 0.8% and 0.14%, respectively.

The importance of fluid-structure interaction to the aerodynamic and structural design of centrifugal impeller is revealed, and the superiority over composite materials in the application of centrifugal impeller is verified.

This paper aims to describe the popular trends and methods and ICT tools used for mapping and visualization of scientific domains as a research methodology which is attracting more and more interest from scientific information and science studies professionals. Science mapping or bibliometric mapping is a spatial representation of how disciplines, fields, specialties and individual documents or authors. The researchers analysed Bibexel, Pajek, VOSViewer, programmes used for processing and visualization of bibliographic and bibliometric data, within the framework of the implementation of IRNet research network project and activities and presented several examples of visualisation.

Among the main indicators of research effectiveness – bibliometric indicators – is a powerful information tool to support the development of science. Practical research methods were prepared using the programs: Bibexel (metadata analyses), program Pajek: graph editing and visualization of the graph structure of co-authorship – using the method of Kamada-Kawai and VOSviewer: a computer program for creating maps based on network data and for visualizing and exploring these maps. The main features of VOSviewer can be summarized for creating maps based on network data, visualizing and exploring maps.

The cited references and keywords are used to analyse in particular the intellectual base used by the research field or to analyse documents that cite the same references.

The authors of the paper, who are researchers of the European IRNet project and international research network, described and analysed certain bibliographic results of these activities using methods of mapping and visualization of scientific domains.

This paper aims to comprehensively achieve the requirements of high assembly precision and low cost, a precision-cost model of assembly based on three-dimensional (3D) tolerance is established in this paper.

The assembly precision is related to the tolerance of parts and the deformation of matching surfaces under load. In this paper, the small displacement torsor (SDT) theory is first utilized to analyze the manufacturing tolerances of parts and the assembly deformation deviation of matching surface. In the meanwhile, the extracting method of SDT parameters is proposed and the assembly precision calculation model based on the 3D tolerance is established. Second, an integrated optimization model based on the machining cost, assembly cost (mapping the deviation domain to the SDT domain) and quality loss cost is built. Finally, the practicability of the precision-cost model is verified by optimizing the horizontal machining center.

The assembly deviation has a great influence on cost fluctuation. By setting the optimization objective to maximize the assembly precision, the optimal total cost is CNY 72.77, decreasing by 16.83 per cent from the initial value, which meets economical requirements. Meanwhile, the upper bound of each processing tolerance is close to the maximum value of 0.01 mm, indicating that the load deformation can be offset by appropriately increasing the upper bound of the tolerance, but it is necessary to strictly restrict the manufacturing tolerances of lower parts in a reasonable range.

In this paper, a 3D deviation precision-cost model of assembly is established, which can describe the assembly precision more accurately and achieve a lower cost compared with the assembly precision model based on rigid parts.

The purpose of this study is to achieve multi-variety and small-batch assembly through direct cooperation between equipment and people and to improve assembly efficiency as well as flexibility.

Firstly, the concept of the human–computer interaction is designed. Secondly, the machine vision technology is studied theoretically. Skin color filter based on hue, saturation and value color model is put forward to screen out images that meet the skin color characteristics of the worker, and a multi-Gaussian weighted model is built to separate moving objects from its background. Both of them are combined to obtain the final images of the target objects. Then, the key technology is applied to the smart assembly workbench. Finally, experiments are conducted to evaluate the role of the human–computer interaction features in improving productivity for the smart assembly workbench.

The result shows that multi-variety and small-batch considerable increases assembly time and the developed human–computer interaction features, including prompting and introduction, effectively decrease assembly time.

This study proves that the machine vision technology studied in this paper can effectively eliminate the interferences of the environment to obtain the target image. By adopting the human–computer interaction features, including prompting and introduction, the efficiency of manual operation is improved greatly, especially for multi-variety and small-batch assembly.