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The purpose of this paper is to present an engineering inviscid‐boundary layer method for the calculation of convective heating rates on three‐dimensional non‐axisymmetric geometries at angle of attack.

Based on the axisymmetric analog, convective heating rates are calculated along the surface streamlines which are determined using the inviscid properties calculated on an unstructured grid.

Since the method is capable of using inviscid properties calculated on an unstructured grid, it is applicable to a variety of configurations and it requires much less computational effort than a Navier‐Stokes code. The results of the present method are evaluated on different wing body configurations in laminar and turbulent hypersonic equilibrium flows. In comparison to experimental data, the present results are found to be fairly accurate in the windward and leeward regions.

With this approach, heating rates can be predicted on general three‐dimensional configurations at hypersonic speeds in an accurate and fast scheme.

In order to calculate the heating rates at any specific point on the surface, a technique is developed to calculate the inviscid surface streamlines in a backward manner using the inviscid velocity components. The metric coefficients are also calculated using a new simple technique.

The purpose of this paper is to further our knowledge of what influences users to adopt mobile augmented reality in tourism (MART). A conceptual model is proposed, combining the extension of Unified Theory of Acceptance and Usage of Technology (UTAUT2) with task technology fit (TTF), to explain behavioural intention and user behaviour of MART adopters.

A questionnaire was completed by a sample of 335 respondents in Portugal. Both UTAUT2 and TTF were combined into a new model from which several hypotheses were drawn based upon the literature.

The results have shown that the model explains 72 per cent of the variance in behaviour intention to use MART and 45 per cent of the variance in user behaviour.

MART is becoming increasingly known to travellers as it provides the user diverse and useful information with a real relationship with the world. By studying behaviour and what influences consumers to use MART, this study aims to advance the research into new technologies in tourism.

本论文旨在扩展对于消费者在旅游行业中使用移动增强现实科技（MART）的知识。本论文结合科技接受和使用全模型（UTAUT2）和任务科技配置度模型（TTF）, 提出一个新型的理论模型, 用于更深度理解MART使用者的使用意图和行为。

本论文采用问卷采样形式, 采样地点在葡萄牙, 一共采集335份样本数据。由UTAUT2和TTF模型整合的新模型得到了理论认证。

本论文新模型解释了72%的MART消费者行为意图和45%消费者使用行为。

MART如今越来越受到游客的认识, 其科技通过一种与现实更贴近的手段, 向游客提供多样且实用的信息。本论文通过研究消费者使用MART的行为, 对旅游产业新科技的应用有着很深的理论贡献。

The aim of this paper is to explore, analyse and summarise the potential tangible user interface (TUI) design features for dyslexics learning to read and spell.

This study adopts a systematic literature review method through a manual search of published papers from 2011. This systematic literature review consists of three main phases starting with planning the review, conducting the review and studying the selection and reporting the results.

As the result, 10 papers were found that are considered most applicable as they met the review criteria. Based on the 10 papers, 11 design features are found in the current TUIs design features implemented in the tangible system dedicated for dyslexia and reading. The 11 design features are viewed to be fundamental and useful for the groundwork towards designing and developing a comprehensive TUIs design specifically and exclusively meant for dyslexic children learning to read and spell.

A critical reading of past literature relating to the TUIs concept reveals that this concept still appears to be under-explored even though it was introduced two decades ago. This systematic literature review highlights directions for future research, involving the dyslexic children early in the design process towards the evaluation of the prototype and finally examining the outcome of TUIs on children's learning.

Enterprise systems (ESs) are hard to maintain, since they embed a large fraction of organisational data and tasks, which are often intertwined and highly interdependent. The purpose of this paper is to propose a methodology for enterprise resource planning (ERP) post-implementation change management to support business analysts during perfective maintenance.

The methodology draws a parallel line with engineering change management and considers the steps of mapping the dependencies among ES components, understanding the ripple effects of change, and defining metrics to quantify and assess the impact of change. The methodology is instantiated in the case of ERP systems, for which a tool has also been implemented and evaluated by ERP implementation experts.

Experts positively evaluated the proposed methodology. General design principles to instantiate the methodology in the case of systems other than ERP have been derived.

While existing ESs change management methodologies help to identify the need for change, the proposed methodology help to structure the change process, supporting the task of perfective maintenance in an efficient way.

The purpose of this study was to investigate the polyacrylic polymer/Al₂O₃ as a new nanocomposite coating to protect brass and Al-bronze in 3.5% NaCl and the role of alumina formulation on their protection efficiency

The corrosion efficiency of the nanocomposite coating (NCC) was evaluated by open circuit potential and electrochemical impedance spectroscopy (EIS).

The protection efficiency was more in the case of Al-bronze even for the same formulation of alumina NCC indicated the Cu substrate contribution. The Cu oxides in alloys and Al₂O₃ from the NCC and Al-bronze were responsible for this protection.

All the techniques supported each other, the presence of alumina was responsible for the corrosion protection efficiency.

Despite recognising the importance of training on the successful implementation of enterprise resource planning (ERP) systems, there is a shortage of research on mechanisms that facilitate the effective use of ERP implementation training in business environments. This study aims to investigate the factors influencing post-implementation transfer behaviours as a measure of training effectiveness among ERP users.

A conceptual model based on related theories was developed to explain the effectiveness of post-implementation ERP training. The study analysed collected data from ERP users drawn from finance, customer relationship management, marketing, sales and logistics units in some organisations in New Zealand.

Findings reveal that 42.7% of the variance in ERP training transfer (TT) can be explained by mastery goal orientation (MGO), computer self-efficacy (CSE) and transfer motivation (TMO). Furthermore, CSE and TMO acted as vital mechanisms by which MGO affects the TT.

Future studies are implored to address the limitation of cross-sectional research design by using more objective measures and multiple data sources.

Understanding the underlying mechanisms of training effectiveness at the post-implementation phase can facilitate the development of strategic interventions to sustain effective transfer behaviours in ERP task environments.

Building on the self-determination theory, this study demonstrates the interrelationship among MGO, CSE, TMO and TT at the post-implementation phase of ERP.

The purpose of this study is to investigate the incorporation of lightweight aggregate concrete modify with fiber (LWACF) in water retaining structure. In developed countries LWACF is being successfully used as structural concrete; however, third-world countries such as Pakistan are still struggling to come up with the practical applications of lightweight concrete in the building and construction industry. One reason is because of the lack of reliable data regarding its performance as a structural member in the building and construction industry.

The present study inspected the flexural and shear tolerance of fiber-reinforced LWACF by testing six beam specimens’ cast, cured and tested after 28 days for the purpose. An overhead tank of 1,000-gallon capacity was also constructed to verify the application of LWACF by observing its water retention behavior. The experimental design included a mix design of concrete at a target strength of 21 MPa for control sample natural aggregate and for synthetic aggregate modified with polypropylene fibers. Compressive strengths of both categories of concrete were also determined by crushing the cylindrical samples at the age of 7, 14, 21 and 28 days. The cast beams were later subjected to the application of two-point loading test until failure.

It was found that the beams fabricated with LWACF possessed better resistance to cracks compared with those fabricated with normal weight concrete, both in terms of number and crack width. The study also concluded that the constructed water tank with LWACF was thermally efficient and structurally sound, as it showed no sign of seepage for the observed period.

On the basis of the results, it can be concluded that the LWACF used has revolutionized the concept of using lightweight aggregates in regular structures and that consequently it will help in a constructing a sustainable environment. One of the useful applications of such material is for water-retaining structures.

This study aims to prepare UV protection and hydrophobic fabric through modifying cotton fabric by graphene oxide and silane coupling agent. The graphene oxide and silane coupling agent (KH570) are anchored on the cotton fabric by a stable chemical bond.

Graphene oxide was prepared by modified Hummers method. The fabric sample was treated with graphene oxide and silane coupling agent KH570 using simple dipping-padding-drying method. The effects of the dosage of graphene oxide, silane coupling agent KH570 and curing temperature were determined by single variable experiment and orthogonal experiment, The UVA and UVB transmittances in ultraviolet light of the sample fabric were characterized, and the contact angle test method with water was used to indicate the hydrophobicity of the sample fabric. The structure and surface of the fabric were analyzed using Fourier-transform infrared spectroscopy and scanning electron microscopy.

The cotton fabric was successfully modified by graphene oxide and silane coupling agent KH570. Compared with the untreated fabric, the surface of the fabric was smooth, and there was no gap on the fiber. The graphene oxide, silane coupling agent KH570 and cotton fabric combined tightly. The UPF value of the modified fabric was 50+, and the contact angle reached 138.1°. It had excellent UV protection and hydrophobic properties.

Although graphene oxide and silane coupling agents KH570 had successfully endowed the cotton fabric with good UV protection and hydrophobic properties, graphene oxide and silane coupling agent KH570 are expensive and used in large quantities. There are certain limitations in the actual life and production process.

After treating with silane coupling agent, the hydrophilic fabric treated with graphene oxide is being translated into hydrophobic, and graphene oxide bonded with cotton. The modified fabrics also have excellent UV protection. This fabric can be used for outdoor sports such as clothes and tents.

Cotton fabric treated with graphene oxide generally by simple dip-dry-cure method is hydrophilic and graphene oxide is easy to drop. The usage of silane coupling agent KH570 as a crosslinking agent to link graphene oxide and cotton fibers has not been reported yet. The modified fabrics have both UV protection and hydrophobic properties.

The purpose of this paper is to illustrate an original decision-support tool (DST) that aids 3PL managers to decide on the proper warehouse management system (WMS) customization. The aim of this tool is to address to the three main issues affecting such decision: the cost of the information sharing, the scarce visibility of the client’s data and the uncertainty of quantifying the return from investing into a WMS feature.

The tool behaves as a digital twin of a WMS. In addition, it incorporates a set of WMS’s features based both on heuristics and optimization techniques and uses simulation to perform what-if multi-scenario analyses of alternative management scenarios. In order to validate the effectiveness of the tool, its application to a real-world 3PL warehouse operating in the sector of biomedical products is illustrated.

The results of a simulation campaign along an observation horizon of ten months demonstrate how the tool supports the comparison of alternative scenarios with the as-is, thereby suggesting the most suitable WMS customization to adopt.

The tool supports 3PL managers in enhancing the efficiency of the operations and the fulfilling of the required service level, which is increasingly challenging given the large inventory mix and the variable clients portfolio that 3PLs have to manage. Particularly, the choice of the WMS customization that better perform with each business can be problematic, given the scarce information visibility of the provider on the client’s processes.

To the author’s knowledge, this paper is among the first to address a still uncovered gap of the warehousing literature by illustrating a DST that exploits optimization and simulation techniques to quantify the impacts of the information availability on the warehousing operations performance. As a second novel contribution, this tool enables to create a digital twin of a WMS and foresee the evolution of the warehouse’s performance over time.