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The goal for this paper is to bring the easy‐to‐use geometry drawing software RDS to a “solid” mesh, which could be analyzed and simulated in CEASIOM, to enhance both CEASIOM and RDS's capabilities.

The RDS‐SUMO interface is developed based on the feature that both RDS and SUMO define their geometric model using cross‐sectional information, i.e. their “universe” shapes are close to each other.

The translation is automated and allows the engineer to easily modify and augment the geometry in the process. Two test cases are shown, with their high quality Euler mesh and CFD computations. The A321‐look‐alike test case tests the mesh quality for transonic aerodynamics, such as high‐speed trim and drag divergence; the twin‐prop asymmetric aircraft is a “diffi+cult” non‐conventional configuration analyzed for yaw stability in one‐engine out mode.

This paper shows that the CFD solutions based on solid grids could be obtained once the design is proposed and the RDS wire‐frame model is available. The aerodynamic properties can then be predicted in early design stage, which is very efficient for preliminary aircraft design.

This fast meshing tool could obtain “working” grids of a new design within hours.

This research analyses challenges faced by users at various levels in planning and designing participatory simulation models of cities. It aims to identify issues that hinder experts from maximising the effectiveness of the SUMO tool. Additionally, evaluating current methods highlights their strengths and weaknesses, facilitating the use of participatory simulation advantages to address these issues. Finally, the presented case studies illustrate the diversity of user groups and emphasise the need for further development of blueprints.

In this research, action research was used to assess and improve a step-by-step guideline. The guideline's conceptual design is based on stakeholder analysis results from those involved in developing urban logistics scenarios and feedback from potential users. A two-round process of application and refinement was conducted to evaluate and enhance the guideline's initial version.

The guidelines still demand an advanced skill level in simulation modelling, rendering them less effective for the intended audience. However, they have proven beneficial in a simulation course for students, emphasising the importance of developing accurate conceptual models and the need for careful implementation.

This paper introduces a step-by-step guideline designed to tackle challenges in modelling urban logistics scenarios using SUMO simulation software. The guideline's effectiveness was tested and enhanced through experiments involving diverse groups of students, varying in their experience with simulation modelling. This approach demonstrates the guideline's applicability and adaptability across different skill levels.

Since November 1996, the Physical Sciences & Engineering Library at McGill University has established a new Subsidised UnMediated Ordering (SUMO) service for its users: the CISTI Source/SUMO service, a one‐stop shopping service where the patrons (faculty, staff and graduate students) can browse the CISTI Source Table of Contents database over the Web, order their articles and have them sent directly to their desktop by CISTI (Canada Institute for Scientific and Technical Information) without having to search McGill’s OPAC. A blocking mechanism is set in place so that currently owned journal subscription articles cannot be ordered. This service has proved to be a better alternative to the traditional acquisition of journals (both paper and online) and the interlibrary loan service. The CISTI Source/SUMO service has provided more pertinent journals, more quickly and more readily than before and in a much cheaper way than with any journal subscriptions. It is one of the best ways to cope with the rapid increase in journal prices.

Large terminologies usually contain a mix of terms that are either generic or domain specific, which makes the use of the terminology itself a difficult task that may limit the positive effects of these systems. The purpose of this paper is to systematically evaluate the degree of domain specificity of the AGROVOC controlled vocabulary terms as a representative of a large terminology in the agricultural domain and discuss the generic/specific boundaries across its hierarchy.

A user-oriented study with domain-experts in conjunction with quantitative and systematic analysis. First an in-depth analysis of AGROVOC was carried out to make a proper selection of terms for the experiment. Then domain-experts were asked to classify the terms according to their domain specificity. An evaluation was conducted to analyse the domain-experts’ results. Finally, the resulting data set was automatically compared with the terms in SUMO, an upper ontology and MILO, a mid-level ontology; to analyse the coincidences.

Results show the existence of a high number of generic terms. The motivation for several of the unclear cases is also depicted. The automatic evaluation showed that there is not a direct way to assess the specificity degree of a term by using SUMO and MILO ontologies, however, it provided additional validation of the results gathered from the domain-experts.

The “domain-analysis” concept has long been discussed and it could be addressed from different perspectives. A resume of these perspectives and an explanation of the approach followed in this experiment is included in the background section.

The authors propose an approach to identify the domain specificity of terms in large domain-specific terminologies and a criterion to measure the overall domain specificity of a knowledge organisation system, based on domain-experts analysis. The authors also provide a first insight about using automated measures to determine the degree to which a given term can be considered domain specific. The resulting data set from the domain-experts’ evaluation can be reused as a gold standard for further research about these automatic measures.

Four comparative case studies of subcommunities within a single school district were conducted. For the purposes of this study each subcommunity was operationally defined by the attendance area of an elementary school. The purposes of the study were: (i) to develop analytically the concept of a subcommunity; (ii) to develop the concept of a subcommunity's political influence; (iii) to test the application of these concepts with data collected from four low income subcommunities; (iv) to analyze and explore the possible relationships of environmental and school characteristics on the political influence of subcommunities. As a result of this study some of the problems of operationally defining and measuring political influence became apparent. Nevertheless, the data did suggest that focusing on the subcommunity politics of education might be a fruitful approach for studying political processes within large urban school districts. In addition, a number of possible determinants of subcommunity political influence were identified.

To identify some of the major issues and problems firms face, when they collaborate with suppliers in new product development.

The paper presents a case study of a leading Danish hearing aid manufacturer.

Early involvement of suppliers in new product development reduces time‐to‐market, but increases the risk that proprietary knowledge is leaked to the competitors. Therefore, the supplier approval process is very important.

The paper discusses the implications of platform management for new product development and sourcing strategies. The paper is based on a single case study. In order to generalize the findings, it is necessary to study more companies from different industries, with different technologies, competition, and contextual features.

The paper illustrates the risk of single sourcing and raises the question, how buyers without leverage can become an interesting customer for large suppliers.

The paper analyzes the implications of platform management for new product development and supply chain management at the interfaces between focal company and its suppliers and customers.

The purpose of this paper is to present the status of the on-going development of the new computerized environment for aircraft synthesis and integrated optimization methods (CEASIOM) and to compare results of different aerodynamic tools. The concurrent design of aircraft is an extremely interdisciplinary activity incorporating simultaneous consideration of complex, tightly coupled systems, functions and requirements. The design task is to achieve an optimal integration of all components into an efficient, robust and reliable aircraft with high performance that can be manufactured with low technical and financial risks, and has an affordable life-cycle cost.

CEASIOM (www.ceasiom.com) is a framework that integrates discipline-specific tools like computer-aided design, mesh generation, computational fluid dynamics (CFD), stability and control analysis and structural analysis, all for the purpose of aircraft conceptual design.

A new CEASIOM version is under development within EU Project AGILE (www.agile-project.eu), by adopting the CPACS XML data-format for representation of all design data pertaining to the aircraft under development.

Results obtained from different methods have been compared and analyzed. Some differences have been observed; however, they are mainly due to the different physical modelizations that are used by each of these methods.

This paper summarizes the current status of the development of the new CEASIOM software, in particular for the following modules: CPACS file visualizer and editor CPACSupdater (Matlab) Automatic unstructured (Euler) & hybrid (RANS) mesh generation by sumo Multi-fidelity CFD solvers: Digital Datcom (Empirical), Tornado (VLM), Edge-Euler & SU2-Euler, Edge-RANS & SU2-RANS Data fusion tool: aerodynamic coefficients fusion from variable fidelity CFD tools above to compile complete aero-table for flight analysis and simulation.

Using brand netnography (analyzing consumers' first‐person on‐line stories that include discussions of their product and brand use), this article aims to probe how visitors interpret the places, people, and situations that they experience while traveling in Japan.

Through analysis of online consumer stories about their trip experiences, Heider's balance theory is applied to visitors' trip experiences. Follow‐up contact with the consumers allows application of autodriving methodology to gather additional post‐trip insights.

The results show immediate and downstream positive and negative associations of concepts, events, and outcomes in visitors' stories. Maps of consumer stories identify kernel concepts and include descriptions of how visitors live a specific destination's unique promises (e.g. distinct cultural history). Using the kernel concepts as a basis, Holt's five‐step strategy for building icons is applied to the travel destination to show how a destination can create a brand identity.

Bloggers reporting their travel experience may not be representative of the population of travelers. On the other hand, travel blogs potentially can influence trip planning by other visitors collecting travel information.

Blog reports represent an unobtrusive method of collecting emic interpretive information from consumers. Emic reporting provides deep insights about consumers' trip interpretations. Tourism and hospitality managers can use this information to improve service experiences and design communication strategies to strengthen positive iconic imagery reported by consumers.

Emic and etic interpretations of travel experiences create a bricolage of the travelers' experiences. Autodriving methodology is extended to tourism research to gather additional insights and to better clarify informants' interpretations. This article also expands on a revisionist proposal to Holt's five‐step strategy for building destinations as iconic brands and suggestions for tourism management.

Traffic density is one of the most important parameters to consider in the traffic operation field. Owing to limited data sources, traditional methods cannot extract traffic density directly. In the vehicular ad hoc network (VANET) environment, the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interaction technologies create better conditions for collecting the whole time-space and refined traffic data, which provides a new approach to solving this problem.

On that basis, a real-time traffic density extraction method has been proposed, including lane density, segment density and network density. Meanwhile, using SUMO and OMNet++ as traffic simulator and network simulator, respectively, the Veins framework as middleware and the two-way coupling VANET simulation platform was constructed.

Based on the simulation platform, a simulated intersection in Shanghai was developed to investigate the adaptability of the model.

Most research studies use separate simulation methods, importing trace data obtained by using from the simulation software to the communication simulation software. In this paper, the tight coupling simulation method is applied. Using real-time data and history data, the research focuses on the establishment and validation of the traffic density extraction model.