Search results

This chapter presents a novel human arm gesture tracking and recognition technique based on fuzzy logic and nonlinear Kalman filtering with applications in crane guidance. A Kinect visual sensor and a Myo armband sensor are jointly utilised to perform data fusion to provide more accurate and reliable information on Euler angles, angular velocity, linear acceleration and electromyography data in real time. Dynamic equations for arm gesture movement are formulated with Newton–Euler equations based on Denavit–Hartenberg parameters. Nonlinear Kalman filtering techniques, including the extended Kalman filter and the unscented Kalman filter, are applied in order to perform reliable sensor fusion, and their tracking accuracies are compared. A Sugeno-type fuzzy inference system is proposed for arm gesture recognition. Hardware experiments have shown the efficacy of the proposed method for crane guidance applications.

Prefabricated building has been widely applied in the construction industry all over the world, which can significantly reduce labor consumption and improve construction efficiency compared with conventional approaches. During the construction of prefabricated buildings, the overall efficiency largely depends on the lifting sequence and path of each prefabricated component. To improve the efficiency and safety of the lifting process, this study proposes a framework for automatically optimizing the lifting path of prefabricated building components using building information modeling (BIM), improved 3D-A* and a physic-informed genetic algorithm (GA).

Firstly, the industry foundation class (IFC) schema for prefabricated buildings is established to enrich the semantic information of BIM. After extracting corresponding component attributes from BIM, the models of typical prefabricated components and their slings are simplified. Further, the slings and elements’ rotations are considered to build a safety bounding box. Secondly, an efficient 3D-A* is proposed for element path planning by integrating both safety factors and variable step size. Finally, an efficient GA is designed to obtain the optimal lifting sequence that satisfies physical constraints.

The proposed optimization framework is validated in a physics engine with a pilot project, which enables better understanding. The results show that the framework can intuitively and automatically generate the optimal lifting path for each type of prefabricated building component. Compared with traditional algorithms, the improved path planning algorithm significantly reduces the number of nodes computed by 91.48%, resulting in a notable decrease in search time by 75.68%.

In this study, a prefabricated component path planning framework based on the improved A* algorithm and GA is proposed for the first time. In addition, this study proposes a safety-bounding box that considers the effects of torsion and slinging of components during lifting. The semantic information of IFC for component lifting is enriched by taking into account lifting data such as binding positions, lifting methods, lifting angles and lifting offsets.

The purpose of this paper is to present the construction process innovations that enabled the successful delivery of the hybrid mass timber high-rise building in Canada, the Brock Commons Tallwood House at the University of British Columbia. It is one of a set of papers examining the project, including companion papers that describe innovations in the mass timber design process and the impact of these innovations on construction performance. The focus of this paper is on innovation in the construction phase and its relationship to innovations implemented in previous project phases.

A mixed-method, longitudinal case study approach was used in this research project to investigate and document the Tallwood House project over a three-year period. Both quantitative and qualitative data collection and analysis techniques were used. Members of the research team observed prefabrication and construction, conducted periodic interviews and reviewed project artefacts.

The research identified three innovation “clusters,” including the use of innovative tools, techniques and strategies in the design and construction processes and the role they played in delivering the project. The “clusters” were further characterized according to the type of “connectivity” they afforded, either facilitation, operationalization or materialization. These two perspectives support a compounding view on innovation and help to understand how it can flow throughout a project’s life cycle and across its supply chain. Three process-based innovations were initiated during the design phase, integrated design process, building information modeling and virtual design and construction and flowed through to the construction phase. These were seen to enable the creation of connections that were crucial to the overall success of the project. These innovations were operationalized and enacted through the construction phase as design for manufacturing and assembly and prefabrication, staged construction and just-in-time delivery, integration of safety and risk management and a rigorous quality control and quality assurance process. Finally, a full-scale mock-up was produced for practice and constructability assessment, materializing the radical product innovation that was the mass timber structure. These strategies are used together for a synergistic and integrated approach to increase productivity, expedite the construction schedule and develop an innovative building product.

This paper details an in-depth investigation into the diffusion dynamics of multiple systemic innovations for the construction process of a unique building project, the tools and techniques used by the construction manager and team, and the challenges, solutions and lessons learned.

This research is aimed at predicting tower crane accident phases with incomplete data.

The tower crane accidents are collected for prediction model training. Random forest (RF) is used to conduct prediction. When there are missing values in the new inputs, they should be filled in advance. Nevertheless, it is difficult to collect complete data on construction site. Thus, the authors use multiple imputation (MI) method to improve RF. Finally the prediction model is applied to a case study.

The results show that multiple imputation RF (MIRF) can effectively predict tower crane accident when the data are incomplete. This research provides the importance rank of tower crane safety factors. The critical factors should be focused on site, because the missing data affect the prediction results seriously. Also the value of critical factors influences the safety of tower crane.

This research promotes the application of machine learning methods for accident prediction in actual projects. According to the onsite data, the authors can predict the accident phase of tower crane. The results can be used for tower crane accident prevention.

Previous studies have seldom predicted tower crane accidents, especially the phase of accident. This research uses tower crane data collected on site to predict the phase of the tower crane accident. The incomplete data collection is considered in this research according to the actual situation.

Looks at research work into crane automation for the construction industry. Describes the six major areas of the project: analysis of existing crane structures and mechanisms, the general problem of remotely grabbing a load, the application of latest sensor technology, system integration, control and communications, teleoperator and data‐logging system and crane demonstrator construction. Also considers the use of advanced telemetry for communication between cranes and for the remote control operation of the cranes. Concludes that the project demonstrated that the emerging distributed control concepts are applicable to crane technology.

Parents whose children have undergone an autism assessment often describe the process as extremely stressful. This affects how parents engage with services post-diagnosis, meaning less likelihood of using subsequent service support despite struggling to cope. Since parents already report many barriers to accessing services, e.g. long waiting lists, lack of co-ordination and limited resources (Sapiets et al. 2023), negative experiences during assessment should not pose another potential barrier to engagement. This study aimed to address how families’ needs can be better met during the assessment process.

In this qualitative study, the author conducted semi-structured interviews with 11 parents whose child had undergone an autism assessment in the last five years. Thematic analysis determined key themes.

The six themes were: clarity and communication, access to support and resources, aftercare, recognition of parent concerns, personalisation of the assessment process and concerns around the use of personal protective equipment/online assessments. These themes led to criteria to assess the quality of autism assessment services in line with parent perspectives.

These parent-informed criteria could facilitate the consideration of parents’ views into service evaluations of autism assessment services across the UK.

Previous research indicates that the autism assessment experience is often extremely stressful and overwhelming for families (Crane et al., 2016). Despite this, guidance to improve autism services rarely prioritises the opinions and experiences of service-users and their families. The criteria presented here were derived from themes identified by interviewing parents on their experiences of the autism assessment process, thus shifting the focus onto service-users.

In order to succeed in an action under the Equal Pay Act 1970, should the woman and the man be employed by the same employer on like work at the same time or would the woman still be covered by the Act if she were employed on like work in succession to the man? This is the question which had to be solved in Macarthys Ltd v. Smith. Unfortunately it was not. Their Lordships interpreted the relevant section in different ways and since Article 119 of the Treaty of Rome was also subject to different interpretations, the case has been referred to the European Court of Justice.

The Howard Shuttering Contractors case throws considerable light on the importance which the tribunals attach to warnings before dismissing an employee. In this case the tribunal took great pains to interpret the intention of the parties to the different site agreements, and it came to the conclusion that the agreed procedure was not followed. One other matter, which must be particularly noted by employers, is that where a final warning is required, this final warning must be “a warning”, and not the actual dismissal. So that where, for example, three warnings are to be given, the third must be a “warning”. It is after the employee has misconducted himself thereafter that the employer may dismiss.