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This paper aims to facilitate the research and development of resilient navigation approaches, explore the robustness of adversarial training to different interferences and promote their practical applications in real complex environments.

In this paper, the authors first summarize the real accidents of self-driving cars and develop a set of methods to simulate challenging scenarios by introducing simulated disturbances and attacks into the input sensor data. Then a robust and transferable adversarial training approach is proposed to improve the performance and resilience of current navigation models, followed by a multi-modality fusion-based end-to-end navigation network to demonstrate real-world performance of the methods. In addition, an augmented self-driving simulator with designed evaluation metrics is built to evaluate navigation models.

Synthetical experiments in simulator demonstrate the robustness and transferability of the proposed adversarial training strategy. The simulation function flow can also be used for promoting any robust perception or navigation researches. Then a multi-modality fusion-based navigation framework is proposed as a light-weight model to evaluate the adversarial training method in real-world.

The adversarial training approach provides a transferable and robust enhancement for navigation models both in simulation and real-world.

In response to the challenges posed by the conventional manual flange docking method in the LNG (Liquefied Natural Gas) loading process, such as low positioning accuracy, constraints on production efficiency and safety hazards, this study analyzed the LNG five-axis loading arm’s main functions and structural characteristics.

An automated solution for the joints of the LNG loading arm was designed. The forward kinematic model of the LNG loading arm was established using the Denavit–Hartenberg (D-H) parameter method, and its workspace was analyzed. The Newton–Raphson iteration method was employed to solve the inverse kinematics of the LNG loading arm, facilitating trajectory planning. The relationship between the target position and the joint variables was established to verify the stability of the arm’s motion. Flange center identification was achieved using the Hough transform function. Based on the ROS platform, combined with Gazebo and Rviz, an experimental simulation of automatic docking of the LNG loading arm was conducted.

The docking errors in the XYZ directions were all less than 0.8 mm, meeting the required docking accuracy. Moreover, the motion performance of the loading arm during docking was smooth and free of abrupt changes, validating its capability to accomplish the automatic docking task.

The proposed trajectory planning and automatic docking scheme can be used for the rapid filling of LNG filling arms and LNG tankers to improve the efficiency of LNG transportation. In guiding the docking, the proposed automatic docking scheme is an accurate and efficient way to improve safety.

Previous RMIL versions of the conjugate gradient method proposed in literature exhibit sufficient descent with Wolfe line search conditions, yet their global convergence depends on certain restrictions. To alleviate these assumptions, a hybrid conjugate gradient method is proposed based on the conjugacy condition.

The conjugate gradient (CG) method strategically alternates between RMIL and KMD CG methods by using a convex combination of the two schemes, mitigating their respective weaknesses. The theoretical analysis of the hybrid method, conducted without line search consideration, demonstrates its sufficient descent property. This theoretical understanding of sufficient descent enables the removal of restrictions previously imposed on versions of the RMIL CG method for global convergence result.

Numerical experiments conducted using a hybrid strategy that combines the RMIL and KMD CG methods demonstrate superior performance compared to each method used individually and even outperform some recent versions of the RMIL method. Furthermore, when applied to solve an image reconstruction model, the method exhibits reliable results.

The strategy used to demonstrate the sufficient descent property and convergence result of RMIL CG without line search consideration through hybrid techniques has not been previously explored in literature. Additionally, the two CG schemes involved in the combination exhibit similar sufficient descent structures based on the assumption regarding the norm of the search direction.

This paper aims to improve the performance of approximate multiplier in terms of peak signal to noise ratio (PSNR) and quality of the image.

The paper proposes an approximate circuit for 4:2 compressor, which shows a significant amount of improvement in performance metrics than that of the existing designs. This paper also reports a hybrid architecture for the Dadda multiplier, which incorporates proposed 4:2 compressor circuit as a basic building block.

Hybrid Dadda multiplier architecture is used in a median filter for image de-noising application and achieved 20% more PSNR than that of the best available designs.

The proposed 4:2 compressor improves the error metrics of a Hybrid Dadda multiplier.

The purpose of this study is to understand the nature of children’s consumer competence and the role that parents play in its development.

A total of 15 parent/children dyads provided a novel and participatory approach. Children were accompanied to their local supermarket to conduct a grocery shop for their families and asked to explain the reasons for each consumption choice. Parents were interviewed separately to discuss their role in the development of their children’s consumer competence. Both sets of responses were analysed thematically to identify commonalities.

The research identified four themes comprising children’s consumer competence: decision-making; advertising, brands and promotion; financial awareness and shopping knowledge. The themes are the result of an intentional process of parental socialization that enable children to move from simple to complex and contingent shopping scripts as an essential stage in the development of their consumer competence.

Although the study comprised a mixed sample of participants, its small size prevents extrapolation of the results to inform wider conclusions. It should also be noted that the influence of social desirability bias needs to be acknowledged.

Results show that children are highly aware of the competing demands of individual and family needs and able to make the consumption decisions necessary to meet them. These decisions are underpinned by parental values and attitudes that are explicit in the socialization of their children’s consumption. The authors define children’s consumption competence as the ability to make informed, independent, contingent, complex and values-based consumption decisions.

Based on qualitative data from a large study exploring Muslim experiences in the workplace, this chapter explains how Muslim dress standards inform identity and are influenced by US cultural ideals about self-presentation and perceived anti-Muslim hostility. Theoretical sampling was used to find 25 men and 59 women, 32 of whom are veiled. These individuals worked at major corporations as numerical minorities or held professions where they encountered non-Muslims regularly. Informed by theories of orientalism and social identity, findings examine hegemonic representations of organizational power and describe how men could employ masculine practices to navigate anti-Muslim discourse and foster a sense of belonging at work. Within immigrant-centered workplaces, women face cultural backlash for appropriating Western styles deemed immodest. While working outside their community, women who wore hijabs emphasized their femininity through softer colors, makeup, or “unpinning” their veil to offset the visceral reaction to their hijab. Thus, adapting to workplace dress expectations is structured by intersections of gender, religion, and workplace location. This chapter illustrates how Muslim dress strategies indirectly reflect how Western standards of dress, behavior, and self-expression determine qualifications and approachability within workplace structures, marginalizing Muslims and reproducing racial and gender hierarchies.

The purpose of this study is to explore a new assembly process planning and execution mode to realize rapid response, reduce the labor intensity of assembly workers and improve the assembly efficiency and quality.

Based on the related concepts of digital twin, this paper studies the product assembly planning in digital space, the process execution in physical space and the interaction between digital space and physical space. The assembly process planning is simulated and verified in the digital space to generate three-dimensional visual assembly process specification documents, the implementation of the assembly process specification documents in the physical space is monitored and feed back to revise the assembly process and improve the assembly quality.

Digital twin technology enhances the quality and efficiency of assembly process planning and execution system.

It provides a new perspective for assembly process planning and execution, the architecture, connections and data acquisition approaches of the digital twin-driven framework are proposed in this paper, which is of important theoretical values. What is more, a smart assembly workbench is developed, the specific image classification algorithms are presented in detail too, which is of some industrial application values.

The growth of the internet, access to technology and rapid digital transformations have paved the way for developing attack surfaces for individuals and organizations. There is a dire need to provide cybersecurity awareness most effectively. Gamification-based platforms have evolved to make cybersecurity education more engaging and effective. This study explores the gamification platforms available for cybersecurity training and awareness, the extent to which they are used and their benefits and challenges.

PRISMA 2020 was used to conduct the systematic literature review.

The study comprehends the game design elements and their role in the effectiveness of cybersecurity training and awareness. The study unveils that traditional education methodologies are insignificant in cybersecurity awareness, and gamification-based platforms are more beneficial. The paper summarizes the implications of the findings and further postulates future research directions.

This work comprehends the various forms of gamification platforms and frameworks available for cybersecurity training and will motivate further development of gamification platforms. This paper will help academia, private and public organizations and game designers enhance their gamification-based cybersecurity education interventions.

This study aims to evaluate the nutrient content and acceptable qualities of plant-based burger patties (PBBP) formulated with chickpea flour, defatted sesame cake (DSC) flour, coffee silver skin and pomegranate juice as colorant.

The chemical composition, energy value, cholesterol content, amino acid composition, cooking loss, pH, color characteristics and sensory attributes of PBBP were analyzed using official procedures and compared to beef burger. 

PBBP had a protein value of 16.0 g/100g, which is nearly close to the protein content of the beef burger (18.1 g/100g). The fat content of the PBBP was approximately three times lower than that of the beef burger. The fiber content in PBBP was approximately 23 times as high as that in beef burgers samples (p = 0.05). The raw PBBP samples supplies 178 Kcal/100g, whereas beef burger possessed 259 Kcal/100g. Neither the raw nor the cooked PBBP samples contained any cholesterol. Both the beef and PBBP displayed acceptability scores higher than 7.0, which suggests that PBBP was well accepted.

It is concluded that the PBBP sample exhibited a protein value of 16.0 g/100g, which is comparable to the protein level of beef burgers (18.1 g/100g). The fat level of the PBBP samples was significantly lower than that of the beef burger samples. Uncooked PBBP samples contained significantly higher fiber content compared to beef burger samples. No cholesterol was found in raw or cooked PBBP samples. Overall acceptance scores for both beef and PBBP samples exceeded 7.0, suggesting that the proposed product (PBBP) was received favorably.

Transitional periods are important for people, such as birth, marriage and death, are important times when ceremonial meals are prepared and served and certain practices are carried out. These periods and the practices constitute our gastronomic cultural heritage. In order to keep our cultural heritage alive and pass it on to future generations, existing values must first be identified and recorded. For this reason, in this study, gastronomic practices of Mentese's transitional periods were examined within the scope of intangible cultural heritage.

In this research, data was collected using ethnographic design, which is one of the qualitative research methods, and document analysis, interviews and focus group studies, as well as participant observation techniques and image/audio materials. The sample was determined using snowball sampling, convenience sampling and maximum diversity sampling methods. In the analysis of the data, themes and codes related to gastronomic practices in transitional periods were created and direct quotations were included with a descriptive approach.

It has been found that traditions are kept more alive in rural areas, while those living in the city centres no longer perform these practices dating back to the ancient times. Participants attribute the main reason for this to the fact that economic conditions are not favourable and that some traditional practices are “unnecessary” today. While wedding meals, which are the main part of the weddings, used to be made by women in the past, they are now mostly made by catering companies.

It was accepted that some of the participants started to give short answers as the duration of the interview increased and that the answers given were limited to what the participants could remember.

This study reveals special day meals and practices, rituals and traditions related to food within the scope of Mentese's culinary culture, which has a very deep-rooted history. In this regard, in addition to making an important contribution to the literature, the study also contributes to the articles about “recording and promoting the culture” mentioned in the Intangible Cultural Heritage convention.