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In the last decade, XML has become the de facto standard for data exchange in the world wide web (WWW). The positive benefits of data exchangeability to support system and software heterogeneity on application level and easy WWW integration make XML an ideal data format for many other application and network scenarios like wireless sensor networks (WSNs). Moreover, the usage of XML encourages using standardized techniques like SOAP to adapt the service‐oriented paradigm to sensor network engineering. Nevertheless, integrating XML usage in WSN data management is limited by the low hardware resources that require efficient XML data management strategies suitable to bridge the general resource gap. The purpose of this paper is to present two separate strategies on integrating XML data management in WSNs.

The paper presents two separate strategies on integrating XML data management in WSNs that have been implemented and are running on today's sensor node platforms. The paper shows how XML data can be processed and how XPath queries can be evaluated dynamically. In an extended evaluation, the performance of both strategies concerning the memory and energy efficiency are compared and both solutions are shown to have application domains fully applicable on today's sensor node products.

This work shows that dynamic XML data management and query evaluation is possible on sensor nodes with strict limitations in terms of memory, processing power and energy supply.

The paper presents an optimized stream‐based XML compression technique and shows how XML queries can be evaluated on compressed XML bit streams using generic pushdown automata. To the best of the authors' knowledge, this is the first complete approach on integrating dynamic XML data management into WSNs.

This paper aims to present an object detection methodology to categorize 3D object models in an efficient manner. The authors propose a dynamically generated hierarchical architecture to compute very fast objects’ 3D pose for mobile service robots to grasp them.

The methodology used in this study is based on a dynamic pyramid search and fast template representation, metadata and context-free grammars. In the experiments, the authors use an omnidirectional KUKA mobile manipulator equipped with an RGBD camera, to localize objects requested by humans. The proposed architecture is based on efficient object detection and visual servoing. In the experiments, the robot successfully finds 3D poses. The present proposal is not restricted to specific robots or objects and can grow as much as needed.

The authors present the dynamic categorization using context-free grammars and 3D object detection, and through several experiments, the authors perform a proof of concept. The authors obtained promising results, showing that their methods can scale to more complex scenes and they can be used in future applications in real-world scenarios where mobile robot are needed in areas such as service robots or industry in general.

The experiments were carried out using a mobile KUKA youBot. Scalability and more robust algorithms will improve the present proposal. In the first stage, the authors carried out an experimental validation.

The current proposal describes a scalable architecture, where more agents can be added or reprogrammed to handle more complicated tasks.

The main contribution of this study resides in the dynamic categorization scheme for fast detection of 3D objects, and the issues and experiments carried out to test the viability of the methods. Usually, state-of-the-art treats categories as rigid and make static queries to datasets. In the present approach, there are no fixed categories and they are created and combined on the fly to speed up detection.

Visual object tracking plays a significant role in intelligent robot systems. This study aims to focus on unlocking the tracking performance potential of the deep network and presenting a dynamic template update strategy for the Siamese trackers.

This paper presents a novel and efficient Siamese architecture for visual object tracking which introduces densely connected convolutional layers and a dynamic template update strategy into Siamese tracker.

The most advanced performance can be achieved by introducing densely connected convolutional neural networks that have not yet been applied to the tracking task into SiamRPN. By using the proposed architecture, the experimental results demonstrate that the performance of the proposed tracker is 5.8% (area under curve), 5.4% expected average overlap (EAO) and 3.5% (EAO) higher than the baseline on the OTB100, VOT2016 and VOT2018 data sets and achieves an excellent EAO score of 0.292 on the VOT2019 data set.

This study explores a deeper backbone network with each convolutional network layer densely connected. In response to tracking errors caused by templates that are not updated, this study proposes a dynamic template update strategy.

The purpose of this paper is a study aimed at overcoming the interface issue between nanopaper and polymer matrix in shape-memory polymer (SMP) composite laminates caused by their large dissimilarity in electrical/thermal conductive properties. The study attempted to develop an effective approach to fabricate free-standing carbon nanofibre (CNF) assembly in octagon shape formation. The structure design and thermal conductive performance of the resulting octagon-shaped CNF assembly were optimised and simulated.

The CNF nanopaper was prepared based on a filtration method. The SMP nanocomposites were fabricated by incorporating these CNF assemblies with epoxy-based SMP resin by a resin-transfer modelling technique. Thermal conductivity of the octagon-shaped CNF assembly was simulated using the ANSYS FLUENT software for structure design and optimisation. The effect of the octagon-shaped CNF on the thermomechanical properties and thermally responsive shape-memory effect of the resulting SMP nanocomposites were characterised and interpreted.

The CNF template incorporated with SMP to achieve Joule heating triggered shape recovery at a low electric voltage of 3-10 V, due to which the electrical resistivity of SMP nanocomposites was significantly improved and lowered to 0.20 O·cm by the CNF template. It was found that the octagon CNF template with 2 mm width of skeleton presented a highest thermally conductive performance to transfer resistive heat to the SMP matrix.

A simple way for fabricating electro-activated SMP nanocomposites has been developed by using an octagon CNF template. Low electrical voltage actuation in SMP has been achieved.

The fabricated CNF template, the structure design and analysis of dynamic thermomechanical properties of SMP are novel.

Algorithms developed at the Royal Signals and Radar Establishment and the Joint Speech Research Unit open the way to greater precision in distinguising similar words and to recognition of continuously spoken connected speech.

The purpose of this paper is to expand the benefits of building information modeling (BIM) to include data analytics to analyze construction project performance. BIM is a great tool which improves communication and information flow between construction project parties. This research aims to integrate different types of data within the BIM environment, then, to perform descriptive data analytics. Data analytics helps in identifying hidden patterns and detecting relationships between different attributes in the database.

This research is considered to be an inductive research that starts with an observation of integrating BIM and descriptive data analytics. Thus, the project’s correspondence, daily progress reports and inspection requests are integrated within the project 5D BIM model. Subsequently, data mining comprising association analysis, clustering and trend analysis is performed. The research hypothesis is that descriptive data analytics and BIM have a great leverage to analyze construction project performance. Finally, a case study for a construction project is carried out to test the research hypothesis.

The research finds that integrating BIM and descriptive data analytics helps in improving project communication performance, in terms of integrating project data in a structured format, efficiently retrieving useful information from project raw data and visualizing analytics results within the BIM environment.

The research develops a dynamic model that helps in detecting hidden patterns and different progress attributes from construction project raw data.

The purpose of this paper is to analyze the business model of techno parks (TPs) in Turkey and shed light on the value co-creation in TPs in the light of the service perspective and stakeholder theory.

In this conceptual paper, a generic business model canvas for Turkish TPs has been elicited based on an in-depth review of the literature. Then, the functioning of the model and the nature of value co-creation have been viewed through the lenses of service perspective and stakeholder theory, and then the relationships and flows between the components of the business model have been visualized with a dynamic model.

The institutional environment leads Turkish TPs to have similar business models with functional differences. The value is co-created by stakeholders in TPs and value co-creation depends on the skills, competencies and cooperative efforts of all actors involved in the functioning of the business model.

This paper provides insight for TP management companies to improve their business models, for policymakers to refine institutional framework to enable effective functioning of TPs and for stakeholders to understand their role in value co-creation.

This paper provides a dynamic framework and a model for understanding business models of TPs and the value co-creation process, which is an understudied area, especially in a developing country context. It also extends the business model and value co-creation literature in the context of TPs by integrating multiple theoretical perspectives.

The purpose of this paper is to challenge existing models of career ambition, extending understanding of how women define and experience ambition at early career stages in a professional services organisation.

Semi-structured interviews were conducted with 20 women from a professional services organisation, who were aged 24-33 and had not yet reached managerial positions. The interviews were recorded, transcribed and template analysis was conducted.

The analysis revealed four main themes in the women’s experiences: subjective, dynamic ambition; frustrated lack of sight; self-efficacy enables ambition; and a need for resilience vs a need to adapt. The findings support that women do identify as ambitious, but they vary in the extent to which they view ambition as intrinsic and stable, or affected by external, contextual factors, such as identity-fit, barriers, support and work-life conflict.

These results demonstrated insufficiency of current models of ambition and a new model was proposed. The model explains how women’s workplace experiences affect their ambition and therefore how organisations and individuals can better support women to maintain and fulfil their ambitions.

This study extends and contributes to the redefinition of women’s career ambition, proposing a model incorporating women’s affective responses to both internal (psychological) and external (organisational) factors. It provides further evidence against previous individual-level claims that women “opt-out” of their careers due to an inherent lack of ambition, focussing on the interplay of contextual-level explanations.

Molecularly imprinted polymers (MIPs) have aroused focus in medicinal chemistry in recent decades, especially for biomedical applications. Considering the exceptional abilities to immobilize any guest of medical interest (antibodies, enzymes, etc.), MIPs is attractive to substantial research efforts in complementing the quest of biomimetic recognition systems. This study aims to review the key-concepts of molecular imprinting, particularly emphasizes on the conformational adaptability of MIPs beyond the usual description of molecular recognition. The optimal morphological integrity was also outlined in this review to acknowledge the successful sensing activities by MIPs.

This review highlighted the fundamental mechanisms and underlying challenges of MIPs from the preparation stage to sensor applications. The progress of electrochemical and optical sensing using molecularly imprinted assays has also been furnished, with the evolvement of molecular imprinting as a research hotspot.

The lack of standard synthesis protocol has brought about an intriguing open question in the selection of building blocks that are biocompatible to the imprint species of medical interest. Thus, in this paper, the shortcomings associated with the applications of MIPs in electrochemical and optical sensing were addressed using the existing literature besides pointing out possible solutions. Future perspectives in the vast development of MIPs also been postulated in this paper.

The present review intends to furnish the underlying mechanisms of MIPs in biomedical diagnostics, with the aim in electrochemical and optical sensing while hypothesizing on future possibilities.

This paper aims to study a bibliography acquisition approach to verify the bibliography by author name from the integrated system and the metadata from the digital object identifier (DOI) content negotiation proxy. As managed scientific research papers increase at a higher rate, an accurate and automated scheme for bibliography acquisition is desirable.

This study develops a framework using DOI content negotiation proxy as context for the entering of the bibliography. The bibliography acquisition architecture is composed of three point of views to reduce the complexity: terminal UI, service deployed in the cloud and DOI content negotiation proxy. To simplify the service interface and support many kinds of bibliographic formats, this paper presents the independent BibModel and its template-based model transformation engine to support rich bibliographic records.

An important finding of this article is that we do some significant development work to combine the open CrossCite DOI content service and DOI resolvers of registry agencies. As more than 95 per cent of DOIs are owned or managed by CrossRef, DataCite, ISTIC and mEDTA DOI registry agencies, it is a common universal approach for the scientific research paper results with DOIs.

Through a simple method built quickly from freely available parts, it is partially successful, suggesting the scheme can be integrated with third-party systems, such as the management system of scientific research results and the electronic journal management system. The analysis of the application’s effect shows the ability to verify the authenticity of the paper by author name from the system and the metadata from our DOI content negotiation proxy.

This paper proposes an original and simple framework to acquire the metadata of bibliographies automatically. No detailed evaluative study has been carried out supporting both DOI content negotiation and resolver. This work shows how to implement the acquisition approach and how to integrate this framework with the current system.