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The paper aims to leverage the importance of the integrated automatic structural design for tall buildings at the early stage. It proposes to use an automatic prototype to perform the structural design, analysis and optimisation in a building information modelling (BIM)-based platform. This process starts with extracting the required information from the architectural model in Revit Autodesk, such as boundary conditions and designs different options of the structural models in Robot Autodesk. In this process, Dynamo for Revit is used to define the mathematical functions to use different variables and generate various structural models. The paper aims to expand the domain of automation in the BIM platform to reduce the iterative process in different areas such as conceptual structural design and collaboration between architects and structural engineers to reduce the time and cost at the early stages.

The paper begins with an exploratory research by adopting a qualitative methodology and using open-ended questions to achieve more information about the phenomenon of automation and interoperability between structural engineers and architects and gain new insight into this area. Furthermore, correlation research is used by adopting quantitative and short questions to compare the proposed prototype with the traditional process of the structural design and optimisation and the interoperability between architects and engineers and consequently, validate the research.

As an outcome of the research, a structural design optimisation (SDO) prototype was developed to semi-automate the structural design process of tall buildings at the early stages. Moreover, the proposed prototype can be used during the early stage of structural design in different areas such as residential buildings, bridges, truss, reinforced concrete detailing, etc. Moreover, comprehensive literature regarding using automation in structural design, optimisation process and interoperability between architects and engineers is conducted that provides a new insight to contribute to future research and development.

Due to the time limit, the paper results may lack in a comprehensive automatic structural design process. Therefore, the researchers are encouraged to expand the workability of the prototype for a comprehensive automatic design check such as automatic design for the minimum deflection, displacement of different types of buildings.

The prototype includes implications for the development of different automatic designs.

The focus of this paper is the optimisation of the structural design in the BIM platform by using automation. This combination is one of the novelties of this paper, and the existing literature has a very limited amount of information and similar work in this area, especially interoperability between architects and engineers.

Examines the thirteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Examines the twelfth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Twenty first century problems are increasingly being addressed by multi technology solutions developed by regional entrepreneurial and intreprepreneurial innovators. However, they require an expensive new type of fabrication facility. Multiple technology production facilities (MTPF) have become the essential incubators for these innovations. This paper aims to focus on the issues.

The authors address the lack of managerial understanding of how to express the value and operationally manage MTPF centers through the use of investigative case study methods for multiple firms in the study.

Owing to the MTPF centers' novelty and outward similarity to high volume semiconductor fabrication (HVF) facilities, they are laden with ineffective operation and strategic management practices. Metrics are the standard for both operational and strategic management of HVF facilities, yet their application to this new type of center is proving ineffectual.

These new types of regional economic resources may be at risk. A new approach is needed.

The authors develop an operational and strategic metrics management approach for MTPFs that are based on these facilities' unique nature and leverages both the HVF and R&D metrics knowledge base.

Innovations at the interface of micro technology, nanotechnology and semiconductor micro fabrication are poised to solve many of these problems and become a basis for job creation and prosperity. If a new management technique is not developed, then these harbingers of regional economic development will be closed.

While there is an abundance of research on metrics for HVF, this is the first attempt to develop metrics for MTPFs.

The purpose of this paper is to investigate the early development stages of International New Ventures (INVs). Specifically, the authors explore how INVs acquire and leverage four kinds of capital – strategic, managerial, financial and social – to recognise a foreign opportunity, begin the pre-foreign entry activities, and finally start the INV.

A stage-based, multidimensional framework was used to investigate how INVs acquire and use the four capitals throughout the internationalisation process. Drawing on four case studies of high-tech INVs, this study tracks their development in three stages: foreign opportunity, pre-foreign operation and post-foreign operation.

Results indicate INVs build advantages and internationalisation activities occur before formal operations begin. INVs deliberately orchestrate certain kinds of capital contingent to the specific internationalisation stage. Further, the authors find that not all types of capital are equally important throughout the internationalisation process: INVs identify foreign opportunities when endowed with managerial and social capital; INVs source a majority of their managerial and financial capitals externally before internationalising; and INVs only contribute all four capitals simultaneously after internationalising.

Findings contribute to knowledge about the development of INVs pre-internationalisation and pre-founding. The study is limited to a comparative sample of INVs, which impacts the generalisability. However, the findings provide a starting point for investigating similar effects using more representative samples.

Entrepreneurs can be proactive in networking activities to allow them greater opportunity to interact with potential resource providers dependent on the stage of internationalisation.

This study contributes to the international entrepreneurship literature with qualitative evidence of the micro-level processes of internationalisation. Very few studies investigate the early, pre-internationalisation and pre-foundation, development stages of INVs.

The idea of this paper is to present optical and microwave systems making use of new materials. Materials science as an interdisciplinary field has pushed on the development of revolutionary technologies such as polymer, semiconductors and nanomaterials. A brief introduction to optical and related microwave transmission systems was given; pure-optical, fiber-optic, Radar, WLAN and hybrid transmission systems have been taken into account. Principle operations and first promising experimental results in telecom and automotive applications have been shown. Also using Radar techniques we presented a Matlab/Simulink model of a correlation method for speed measurement allowing a variation of all known parameters.

Ground Penetrating Radar is a multidisciplinary Nondestructive Evaluation technique that requires knowledge of electromagnetic wave propagation, material properties and antenna theory. Under some circumstances this tool may require auxiliary algorithms to improve the interpretation of the collected data. Detection, location and definition of target’s geometrical and physical properties with a low false alarm rate are the objectives of these signal post-processing methods. Basic approaches are focused in the first two objectives while more robust and complex techniques deal with all objectives at once. This work reviews the use of Artificial Neural Networks and Machine Learning for data interpretation of Ground Penetrating Radar surveys. We show that these computational techniques have progressed GPR forward from locating and testing to imaging and diagnosis approaches.