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Nowadays, artificial intelligence (AI) technology has demonstrated extensive applications in the field of art design. Attribute editing is an important means to realize clothing style and color design via computer language, which aims to edit and control the garment image based on the specified target attributes while preserving other details from the original image. The current image attribute editing model often generates images containing missing or redundant attributes. To address the problem, this paper aims for a novel design method utilizing the Fashion-attribute generative adversarial network (AttGAN) model was proposed for image attribute editing specifically tailored to women’s blouses.

The proposed design method primarily focuses on optimizing the feature extraction network and loss function. To enhance the feature extraction capability of the model, an increase in the number of layers in the feature extraction network was implemented, and the structure similarity index measure (SSIM) loss function was employed to ensure the independent attributes of the original image were consistent. The characteristic-preserving virtual try-on network (CP_VTON) dataset was used for train-ing to enable the editing of sleeve length and color specifically for women’s blouse.

The experimental results demonstrate that the optimization model’s generated outputs have significantly reduced problems related to missing attributes or visual redundancy. Through a comparative analysis of the numerical changes in the SSIM and peak signal-to-noise ratio (PSNR) before and after the model refinement, it was observed that the improved SSIM increased substantially by 27.4%, and the PSNR increased by 2.8%, serving as empirical evidence of the effectiveness of incorporating the SSIM loss function.

The proposed algorithm provides a promising tool for precise image editing of women’s blouses based on the GAN. This introduces a new approach to eliminate semantic expression errors in image editing, thereby contributing to the development of AI in clothing design.

There is a significant dearth of theoretical and practical knowledge with respect to the design and planning stages of post-conflict housing reconstruction projects. This research presents the development of a conceptual framework towards improving the design and planning processes of post-conflict housing reconstruction projects.

A systematic review of the literature on post-conflict housing reconstruction in developing countries, incorporating the themes of collaboration and stakeholder engagement, is presented. A synthesis of this literature is used to inform the development of a conceptual framework that seeks to address the limitations of current housing reconstruction models in post-conflict environments by establishing collaborative approaches at the initial stages of design, as well as the tasks required to achieve efficient results through the aid of relief organisations (NGOs).

While the review essentially identifies the fundamental issues and inadequacies of the current housing reconstruction models, the proposed framework aims to enable the implementation of better and efficient collaborative design and planning strategies and practices in post-conflict housing reconstruction.

The conceptual framework aims to promote more effective collaboration through the design of post-conflict housing reconstruction projects by strengthening communication and coordination between the key stakeholders. Furthermore, the research highlights several gaps in the extant literature, signposting new directions for future research in the area of stakeholder engagement during the design and planning post-conflict housing.

Health and safety in small construction firms is often neglected by owners leading to poor health and safety performance and unacceptably high fatality and injury rates. A body of knowledge has established significant links between the motivational behaviours of operatives towards health and safety. Motivation is also considered as a key tool for improving operative productivity as when operatives experience safe worksites, they can carry out their work in a more productive manner. The purpose of this research is to develop a framework to examine the motivational factors that affect operative health and safety in small construction firms.

A critical review and synthesis of the body of knowledge incorporating motivational theory, health and safety literature and the factors which characterise small firms, is used to develop the framework.

Key components of the framework include the presence of intrinsic and extrinsic components, appropriate health and safety policies and procedures, the type of work environment, the operatives (i.e. attitude, experience and training) as well as the presence of appropriate management and supervision. The study revealed that operatives in small firms are less likely to be extrinsically motivated due to the absence of training, management commitment, policies and the wider working environment

Failure of motivational support can result in increased danger and risk in exposing operatives to injury in the small firm environment. In this context, the damage caused to operative's health and safety in small construction firms is dependent mainly on the extrinsic factors.

The framework provides a basis for improving our understanding of how to motivate operatives to act safely and will help to improve the health and safety performance of small firms. It is therefore vital to emphasise enhancement efforts on these extrinsic strategies in the small firms' environment especially in the initial stages of the project (or activity), so that the health and safety of operatives in small firms can be improved.

This study proposes a contribution in developing an understanding of the motivational factors and their influence on the health and safety of operatives in small construction firms. The study revealed that operatives in small firms are less likely to be extrinsically motivated and have only intrinsically motivated elements in their workplace. The study proposes an indirect link between the extrinsic and intrinsic factors that affect motivation.

International comparisons of contractor performance can provide robust benchmarks for contractors in different countries and help to identify ways towards performance improvement. Based on a hypothetical construction project, overall contractor performance (OCP) in Japan, the UK and the USA is compared. Overall contractor performance is defined to embrace construction cost, construction time, construction quality and sustainable development, the philosophy being that the achievement of one aspect of performance should not be at the expense of another. Multiple regression analysis reveals that overall contractor performance is dependent on: their past performance on previous similar projects; their commitment towards lifetime employment; their perceived importance of time performance; their relationship with subcontractors; and the number of design variations during construction. To improve their overall performance, contractors are advised to focus on construction time, reduce delays, maintain a stable workforce and establish partnerships with their subcontractors. Clients should attempt to reduce design variations during construction.

Many historical urban cultural landscapes are suffering the effect of rapid urban economic development. This paper integrally relates historical sites in dispersed and point-shape distributions in cities and proposes strategies and methods for constructing urban linear cultural landscapes. As such, our work aims to form urban cultural landscape communities with an organic and linear distribution. The urban linear cultural landscape is not only an important means for integrally protecting and utilizing historical sites in historical cities but is also a special type of urban cultural landscape. The urban linear cultural landscape’s extensive application can enrich the theory of cultural landscape and protection methods of urban cultural heritage.

Despite the present focus on improving the resilience of homes to flooding in UK flood risk management policy and strategy, a general measurement framework for determining levels of flood resilience in UK homes does not exist. In light of this, the aim of this study was to develop a means to evaluate the levels of resilience in flood-prone homes from the perspective of homeowners'.

A quantitative research methodology was employed, with empirical data obtained through a postal survey of homeowners who had experienced flooding. The responses received were then analysed using a combination of statistical techniques including agreement/reliability tests and multiple regression to develop a model of flood resilience.

A predictive model was developed that allows the resilience of a property to be quantified and measured as perceived by homeowners. The findings indicate that the main factors found to influence the level of flood resilience were: property type (PT), presence of cellar/basement (C/B), property wall type (PWT), property ground floor type (PGFT), kitchen unit type (KU), flood experience (FE), flood source (FS) and flood risk level (FRL).

The resulting model provides unique insights into resilience levels to the benefit of a range of stakeholders including policy makers (such as Defra/Environment Agency), Local Authority flood teams, property professionals, housing associations and homeowners. As a result, homeowners will be in a better position to determine which interventions should be prioritised to ensure better flood protection.

This is the first study of its kind to have rigorously quantified the level of flood resilience for individual homes. This study has quantified the effectiveness of individual resilience measures to derive the first reliable means to measure the overall levels of resilience at the individual property level. This is regarded as a significant contribution to the study of flood risk management through the quantification of resilience within individual UK homes, enabling the prioritisation of interventions and the overall monitoring of resilience.

The Environment Agency estimates that one in six homes in England (approximately 5.2m properties) are at risk from flooding and 185,000 commercial properties are located in flood-prone areas. Further, an estimate of 10,000 new homes are built on flood plains yearly. The UK has witnessed a significant increase in flood events over the past 10 years. During this period, there has been growing research attention into measures to mitigate the effects of flooding, including the benefits of deploying sustainable urban drainage systems (SuDs) in new developments or as a retrofit. The purpose of this paper is to present the development of a cost-benefit analysis model for the retrofit of SuDs focusing on the potential for improved flood risk mitigation in the context of commercial properties.

A synthesis of flood risk management and SuDs literature is used to inform the development of a conceptual cost-benefit analysis model for the retrofit of SuDs and focusing on the potential for improved flood risk mitigation in the context of commercial properties.

SuDs have been applied successfully in different parts of the world; however, the uptake of SuDs, in particular, the retrofit of SuDs, has been restricted by a number of issues including a lack of experience and trust in their performance and a lack of understanding in their true benefits. In particular, there is the limited experience of retrofitting SuDs and there are no well-established procedures for evaluating the feasibility, value or cost effectiveness of doing this.

This offers the potential to support the UK government’s flood risk management policy by helping to increase the resilience of properties, whilst offering other benefits to communities such as improvements in air quality and biodiversity and also presenting a clearer understanding of the monetary and non-monetary implication to owners of commercial properties for a more informed and acceptable uptake of SuDs retrofit.

The proposed model will allow a more comprehensive understanding of the costs and associated benefits associated with SuDs retrofit, highlighting the flood risk mitigation benefits that might accrue over a period of time for commercial property.

Examines the tenth 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.

This paper aims to investigate an approach for mental fatigue detection and estimation of assembly operators in the manual assembly process of complex products, with the purpose of founding the basis for adaptive transfer and demonstration of assembly process information (API), and eventually making the manual assembly process smarter and more human-friendly.

The proposed approach detects and estimates the mental state of assembly operators by electroencephalography (EEG) signal recording and analysis in an engine assembly experiment. When the subjects perform assembly tasks, their EEG signal is recorded by a portable EEG recording system called Emotiv EPOC+ headset. The feature set of the EEG signal is then extracted by calculating its power spectrum density (PSD), followed by data dimension reduction based on principal component analysis (PCA). The dimension-reduced data are classified by using support vector machines (SVMs), and hence, the mental state of assembly operators can be estimated during the assembly process.

The experimental result shows that the proposed approach is able to estimate the mental state of assembly operators within an acceptable accuracy range, and the PCA-based dimension reduction method performs very well by representing the high-dimensional EEG feature set with just a few principal components.

This paper provides theoretical and experimental basis for the API transfer and demonstration based on human cognition. It provides a new idea to seek balance between the improvement of production efficiency and the sustainable utilization of human resources.

Fastener technology is one of the key technologies of the ballastless track structure, and the spring strip is the key component to realize the fastener function. Based on the fatigue test of the WJ-7 type fastener of the ballastless track in China, it is concluded that the fatigue damage of an elastic strip is the main reason for the decline of service performance of the fastener. The purpose of this paper is to discuss the fatigue life of the fastener.

First, a DH3818 static strain tester is used to measure the static strain signal in the elastic strip fatigue test, and then the fatigue limit of the WJ-7 elastic strip is calculated. Finally, the fatigue life of the fastener strip is estimated.

The findings of the paper are as follows: first, the lowest fatigue life with a survival rate of 99 percent should be taken as a reference for the service times of WJ-7; second, the fatigue life of the modified formula found to be short under the same stress amplitude.

The fatigue test is processed by the authors and the results of elastic strip are obtained based on the test. Meanwhile, the corresponding limit value of the fatigue stress amplitude is calculated based on the tested results.