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Leading error in line laser weld seam tracking significantly affects tracking accuracy. This paper aims to propose an accurate and reliable compensation method without increasing system complexity for weld seam tracking to improve tracking precision.

Based on the line laser seam tracking method, the seam image is simultaneously captured to obtain the angle offset of the seam relative to the sensor direction, which is then combined with the leading distance to calculate the leading error. The two sensing methods use different wavelengths and are captured simultaneously by a color industrial camera. The images of the two different wavelengths can be separated by extracting the RGB components, and the compensated tracking results are obtained after image processing.

The results of static positioning experiment indicate that the average absolute error in weld seam positioning is reduced to 0.099 mm after compensation. The real-time tracking experiments demonstrate that the proposed method preserves tracking accuracy even with changes in the sensor’s angle of deviation during welding, with the average absolute error being 0.248 mm. This method effectively enhances the precision of line laser weld seam tracking when the sensor exhibits a deviation relative to the welding direction.

By using the dual-sensing and dual-wavelength method for leading error compensation, the method effectively addresses the leading error issue while maintaining the advantages of the line laser seam tracking method.

This study aims to address the challenge of the real-time state of charge (SOC) estimation for lithium-ion batteries in robotic systems, which is critical for monitoring remaining battery power, planning task execution, conserving energy and extending battery lifespan.

The authors introduced an optimal observer based on adaptive dynamic programming for online SOC estimation, leveraging a second-order resistor–capacitor model for the battery. The model parameters were determined by fitting an exponential function to the voltage response from pulse current discharges, and the observer's effectiveness was verified through extensive experimentation.

The proposed optimal observer demonstrated significant improvements in SOC estimation accuracy, robustness and real-time performance, outperforming traditional methods by minimizing estimation errors and eliminating the need for iterative steps in the adaptive critic and actor updates.

This study contributes a novel approach to SOC estimation using an optimal observer that optimizes the observer design by minimizing estimation errors. This method enhances the robustness of SOC estimation against observation errors and uncertainties in battery behavior, representing a significant advancement in battery management technology for robotic applications.

This study aims to examine the acceptance of adaptive learning (AL) amongst construction professionals in Singapore. It seeks to compare their perceptions and attitudes with those of professionals from other industries to assess the rate of AL adoption in the construction sector. Furthermore, the study aims to identify the factors influencing construction professionals’ intention to adopt AL technologies.

A questionnaire survey was conducted with 188 construction professionals and 153 non-construction professionals. By employing the extended unified theory of acceptance and use of technology (UTAUT2) and the general extended technology acceptance model for e-learning (GETAMEL), this study also explored factors influencing construction professionals’ behavioural intention (BI) towards AL adoption. An SEM-machine learning approach facilitated the evaluation of the factors’ influence on BI.

A comparative analysis of the data found that construction professionals’ intention to use AL surpassed 75%, which had no significant difference with professionals from other industries. The findings revealed that learning value (LV) and self-efficacy (SE) were statistically significant predictors of construction professionals’ intentions to use AL. Furthermore, a supervised machine learning analysis identified performance expectancy (PE) as a crucial factor in predicting these intentions.

The study’s focus on self-reported intentions and a specific demographic limits its generalisability; further research should examine actual usage across diverse cultures.

The results offered insights into construction professionals’ perceptions and attitudes towards AL adoption, guiding the integration of AL into construction professional development.

This paper addresses a recognised gap by examining construction professionals’ perceptions and attitudes towards adopting AL.

This paper aims to explore the effectiveness of customer inoculation strategies in the context of AI service failures in the hospitality and tourism industries. Furthermore, it examines how these strategies can enhance customer complaint behavior and satisfaction with service recovery, thereby improving the overall service experience.

Four distinct studies were conducted: Study 1 investigated the influence of customer inoculation on complaint behavior post-AI service failure. Study 2 assessed the impact of service remedies on customer satisfaction. Study 3 explored the implications of initial purchase and usage intentions. Finally, Study 4 validated the findings using a large-scale online survey.

The results indicated that customer inoculation significantly increases customer complaint behavior and satisfaction with service remedies following AI service failures. They also showed that this relationship is mediated by psychological distance. Furthermore, customer inoculation positively affects initial purchase and usage intentions, demonstrating effectiveness at various customer engagement stages.

This study enriches the literature on AI hospitality service failure and recovery by introducing the novel concept of customer inoculation. Additionally, it significantly contributes to the inoculation theory literature, which covers diverse fields. Practically, this study proposes an efficient and low-cost strategy for marketers.

This study introduces the concept of customer inoculation in the context of AI service failures, a novel approach in the hospitality and tourism literature. It provides empirical evidence of the efficacy of the strategy, bridging a crucial gap in understanding customer behavior in the face of technological disruptions.

This paper aims to find a suitable solution to degrade the C.I. Reactive Red 24 (RR24) dyeing wastewater by using sodium persulphate to recycle water and inorganic salts.

The effects of temperature, the concentration of inorganic salts and Na₂CO₃ and the initial pH value on the degradation of RR24 were studied. Furthermore, the relationship between free radicals and RR24 degradation effect was investigated. Microscopic routes and mechanisms of dye degradation were further confirmed by testing the degradation karyoplasmic ratio of the product. The feasibility of the one-bath cyclic dyeing in the recycled dyeing wastewater was confirmed through the properties of dye utilization and color parameters.

The appropriate conditions were 0.3 g/L of sodium persulphate and treatment at 95°C for 30 min, which resulted in a decolorization rate of 98.4% for the dyeing wastewater. Acidic conditions are conducive to rapid degradation of dyes, while ·OH or SO₄⁻· have a destructive effect on dyes under alkaline conditions. In the early stage of degradation, ·OH played a major role in the degradation of dyes. For sustainable cyclic dyeing of RR24, inorganic salts were reused in this dyeing process and dye uptake increased with the times of cycles. After the fixation, some Na₂CO₃ may be converted to other salts, thereby increasing the dye uptake in subsequent cyclic staining. However, it has little impact on the dye exhaustion rate and color parameters of dyed fabrics.

The recommended technology not only reduces the quantity of dyeing wastewater but also enables the recycling of inorganic salts and water, which meets the requirements of sustainable development and clean production.

The purpose of this study is to conduct a comprehensive and precise investigation into the influence of office environments on employee performance. Office workers spend a considerable amount of time inside a building, and the office environment in which they work has a profound impact on their overall well-being and directly affects their effectiveness and productivity. Yet, the previous studies opted out the importance of hygiene factors like office environment and there is a need to uncover hidden causes and shed light on office environment areas that can be improved.

This research adopts a descriptive research design using a quantitative research method to study the relationships between office environment facilitations and employee performance. The technique of survey questionnaires was employed, and a total of 829 samples were analyzed. Measurement model, structural model and hypothesis testing using PLS-SEM software version 4.1.0.0 were briefly explained.

The study investigated the direct and indirect effects of the office environment on employee communication, interactions, productivity and performance. The findings revealed significant outcomes, indicating that the office environment does indeed have an impact on these employee-based factors. Both communication and interactions, as well as employee productivity as an indirect effect, were found to significantly mediate the connection between the office environment and employee performance.

Insufficient data and analysis exist regarding the factors influencing the effect of employee performance on business. The constraints of time, cost and scope impede comprehensive surveys and thorough analysis. Regrettably, only four specific aspects of the office environment were examined in relation to employee performance, neglecting other significant factors. By acknowledging the potential problems highlighted in this study concerning different office concepts, organizations can endeavor to establish a more conducive working environment. It is imperative to acknowledge that the absence of a well-structured office environment that meets employees’ expectations may lead to unfavorable consequences.

To the best of the authors knowledge, this is the first study of office environment facilitations related to employee behavioral attitude and employee performance in Yangon, Myanmar and this study will help discover new insights of the importance of employee performance in least developing countries.

This study aims to optimize the preparation conditions and modify the nanofiltration (NF) membranes to prepare high-performance polysulfone/sulfonated polysulfone composite nanofiltration (PSF/SPSF-NF) membranes through interfacial polymerization.

Investigating the impacts of anhydrous piperazine (PIP) concentration, trimesoyl chloride (TMC) concentration and basement membrane type on NF membrane performance, the optimal membrane was prepared. In addition, nano-SiO₂ was added to the active separation layer to modify the NF membranes.

The comprehensive performance of PSF/SPSF-NF membranes was optimized when the concentration of PIP was 0.75 Wt.% and the concentration of TMC was 0.15 Wt.%, at which time the water flux was 66.1 L·m⁻²·h⁻¹ and the retention rate of Na₂SO₄ was 98.1%. The comprehensive performance of polysulfone/sulfonated polysulfone-SiO₂ nanofiltration (PSF/SPSF-SiO₂-NF) membranes was optimized when the blending ratio of nano-SiO₂ to PIP was 2:3, with a pure water flux of 81.9 L·m⁻²·h⁻¹ and a Na₂SO₄ retention rate of 95.9%. Compared to polysulfone nanofiltration (PSF-NF) membranes and PSF/SPSF-NF membranes, NF membranes with nano-SiO₂ increased the flux recovery rate by 22.9% and 8.7%.

PSF/SPSF-SiO2-NF membrane exhibits excellent antifouling properties.

There is currently no literature available on the preparation of NF membranes using polysulfone/sulfonated polysulfone (PSF/SPFS) as a substrate. This provides a method for modifying NF membranes, starting with the modification of the basement membrane and then modifying the active separation layer.

Based on an in-depth literature review, this chapter aims to examine impacts of informal economy on the glocal sustainable and inclusive development and sustainability from the political economy and ethics perspectives. This chapter examines drivers for and causes of the informal economy from the perspective of the sustainability's three pillars. Furthermore, this chapter examines opportunity cost of the informal economy. It highlights informal economy's impacts on fair competition, circular economy, factors of production, and socio-economic aspects. Furthermore, this chapter discusses the informal economy from an ethical perspective. It highlights informal employment, its impacts on sustainability, and sustainable and inclusive development. This chapter provides recommendations on how to enhance glocal sustainable and inclusive development, and sustainability through reduced informal economy and its adverse impacts.

This study aims to improve the control accuracy and antidisturbance performance of the manipulator with the flexible link, a combined controller, which combines the novel backstepping sliding mode controller based on the extended state observer (ESO) and super-twisting sliding mode controller.

First, the dynamic of the system is constructed by Lagrange method and assumed mode method, and then the dynamic is decoupled by the singular perturbation theory to obtain the slow-varying subsystem and fast-varying subsystem. For the slow-varying subsystem, the novel backstepping sliding mode controller based on ESO is used to achieve joint tracking. For the fast-varying subsystem, the super-twisting sliding mode controller is used for vibration suppression. At the same time, to suppress chattering, the tanh function is used to replace the sign function in the reaching law.

The simulation results show that the combined control has better trajectory tracking performance, antiinterference performance and vibration suppression performance than traditional sliding mode control (SMC).

A novel backstepping sliding mode controller based on ESO is designed to guarantee the performance of the tracking trajectory. The new controller improves the converge rate. A super-twisting sliding mode controller, which can stabilize the fast-varying subsystem, is used to suppress the vibration of flexible link.

The main objective of this study is to assess kinship employee engagement as a mediating variable in the relationship between person–organization–fit (P-O Fit) and person–job–fit with turnover intention.

This research was conducted at creative industry micro, small and medium enterprises (MSME) in Yogyakarta, Indonesia. The number of respondents was 331 MSME employees. The distribution of questionnaires was carried out using offline and online systems through direct questions and Google forms. The data analysis tool used was structural equation modelling.

The findings of this study revealed that kinship employee engagement is proven to mediate the relationship between P-O-fit and P-J-fit on turnover intention.

This research provides a new perspective on social exchanges, namely, exchanges that are intangible based on the relationship between employees, leaders and owners of micro and small medium enterprises (MSMEs) in the form of kinship employee engagement. Employees who feel P-O Fit and P-J fit with their organizations will exhibit positive behavior in the form of kinship employee engagement.

The first practical implication is that MSME superiors/owners must pay more attention to P-O fit; one way to do this is to assess P-O fit at the recruitment and selection stage. This may be useful for organizations that hire and retain employees whose goals and values closely match those of the organization. With regard to the P-J fit relationship, and turnover intention, which turns out to have a negative relationship, this finding has implications for the formulation of policies that should not only focus on increasing the knowledge, skills and abilities of employees but also on fulfilling their wishes. For example, providing employees with training, self-development opportunities, flexible working hours and competitive salaries will strengthen their level of compatibility with their jobs, which in turn will reduce the willingness of employees to leave their jobs.

In social practice, kinship employee engagement can be applied to MSMEs. When MSME owners have limited funds, facilities, etc., to bind employees, they can apply kinship to employees so that they are more attached to MSMEs.

This study is among the first to introduce a new construct (kinship employee engagement) which is an extension of the engagement construct that is more specific and follows the MSME context, and is the first study to propose kinship employee engagement as a mediating variable in the relationship between P-O-fit and P-J-fit on turnover intention.