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The paper presents design details and applications of the recently developed 3‐D laser radar from Z+F. It presents models which have been constructed using the data from “inspection of tunnel tubes”, modelling of a “car body welding cell” and a “car body gripper” in the automotive industry as well as a “chemical process plant”. The laser radar was developed for use in industrial environments. Its twin design aims are measurement performance and robustness. The laser radar can be used with a range of mechanical beam deflection units to meet the needs of specific applications.

Laser scanning technique is used to measure and model objects using point cloud data generated laser pulses. Conventional techniques to construct 3D models are time consuming, costly and need more manpower. The purpose of this paper is to assess the 3D model of the Sultan Salahuddin Abdul Aziz Shah Mosque’s main dome using a terrestrial laser scanner.

A laser scanner works through line of sight, which indicates that multiple scans need to be taken from a different view to ensure a complete data set. Targets must spread in all directions, and targets should be placed on fixed structures and flat surfaces for the normal scan and fine scan. After the scanning operation, point cloud data from the laser scanner were cleaned and registered before a 3D model could be developed.

As a result, the reconstruction of the 3D model was successfully developed. The samples are based on the triangle dimension, curve line, horizontal dimension and vertical dimension at the dome. The standard deviation and accuracy are calculated based on the comparison of the 21 samples taken between the high-resolution and low-resolution scanning data.

There are many ways to develop the 3D model and based on this study, the less complex ways also produce the best result. The authors implement the different types of dimensions for the 3D model assessment, which have not yet been considered in the past.

The paper seeks to bridge the already familiar benefits of 3D printing (3DP) to the rehabilitation of cultural heritage, still based on the use of complex and expensive handcrafted techniques and scarce materials.

A compilation of different information on frequent anomalies in cultural heritage buildings and commonly used materials is conducted; subsequently, some innovative techniques used in the construction sector (3DP and 3D scanning) are addressed, as well as some case studies related to the rehabilitation of cultural heritage building elements, leading to a reflection on the opportunities and challenges of this application within these types of buildings.

The compilation of information summarised in the paper provided a clear reflection on the great potential of 3DP for cultural heritage rehabilitation, requiring the development of new mixtures (lime mortars, for example) compatible with the existing surface and, eventually, incorporating some residues that may improve interesting properties; the design of different extruders, compatible with the new mixtures developed and the articulation of 3D printers with the available mapping tools (photogrammetry and laser scanning) to reproduce the component as accurately as possible.

This paper sets the path for a new application of 3DP in construction, namely in the field of cultural heritage rehabilitation, by identifying some key opportunities, challenges and for designing the process flow associated with the different technologies involved.

The purpose of this research is to provide the necessarily and resourceful information regarding range sensors to select the best fit sensor for robust autonomous navigation. Autonomous navigation is an emerging segment in the field of mobile robot in which the mobile robot navigates in the environment with high level of autonomy by lacking human interactions. Sensor-based perception is a prevailing aspect in the autonomous navigation of mobile robot along with localization and path planning. Various range sensors are used to get the efficient perception of the environment, but selecting the best-fit sensor to solve the navigation problem is still a vital assignment.

Autonomous navigation relies on the sensory information of various sensors, and each sensor relies on various operational parameters/characteristic for the reliable functioning. A simple strategy shown in this proposed study to select the best-fit sensor based on various parameters such as environment, 2 D/3D navigation, accuracy, speed, environmental conditions, etc. for the reliable autonomous navigation of a mobile robot.

This paper provides a comparative analysis for the diverse range sensors used in mobile robotics with respect to various aspects such as accuracy, computational load, 2D/3D navigation, environmental conditions, etc. to opt the best-fit sensors for achieving robust navigation of autonomous mobile robot.

This paper provides a straightforward platform for the researchers to select the best range sensor for the diverse robotics application.

For several decades, national culture has been described as having major influence over international business outcomes. Yet national culture has been framed often by vague terms and simplistic scales. The purpose of this paper is to explain why and how the influence of national culture should be reframed.

Review of literature concerned with causation in the behaviour of individuals and groups: anthropology, cognition, psychology, cross-cultural psychology, cultural psychology and cultural geography.

Within every nationality, and across international business, there is dynamic complexity of thought and action among individuals and groups. This derives from differences of genders, age, cultures, personality types and past experiences; the highly complex interactions between them; their commingling with common traits; and the varying influence of contextual factors. This dynamic complexity cannot be addressed by managers through use of vague simplistic conceptualizations of national culture.

As an alternative to vague simplistic conceptualizations, scientific theories, such as resource-based theory, knowledge-based view, contagion theories and social cognition theory, can be referred to in the formulation of multi-resolution simulation models. These models can enable managers to analyze dynamic complex international business scenarios, in terms of situation-specific variables.

The originality of this paper is that it provides a detailed explanation of why vague simplistic conceptualizations of national culture are of limited usefulness to managers of international business. The value of this paper is that it describes a practical alternative: theory-based multi-resolution simulation models.

Building information modelling (BIM) is a digital representation of the physical and functional characteristics of a building. Its use offers a range of benefits in terms of achieving the efficient design, construction, operation and maintenance of buildings. Applying BIM at the outset of a new build project should be relatively easy. However, it is often problematic to apply BIM techniques to an existing building, for example, as part of a refurbishment project or as a tool supporting the facilities management strategy, because of inadequacies in the previous management of the dataset that characterises the facility in question. These inadequacies may include information on as built geometry and materials of construction. By the application of automated retrospective data gathering for use in BIM, such problems should be largely overcome and significant benefits in terms of efficiency gains and cost savings should be achieved.

Laser scanning can be used to collect geometrical and spatial information in the form of a 3D point cloud, and this technique is already used. However, as a point cloud representation does not contain any semantic information or geometrical context, such point cloud data must refer to external sources of data, such as building specification and construction materials, to be in used in BIM.

Hyperspectral imaging techniques can be applied to provide both spectral and spatial information of scenes as a set of high-resolution images. Integrating of a 3D point cloud into hyperspectral images would enable accurate identification and classification of surface materials and would also convert the 3D representation to BIM.

This integrated approach has been applied in other areas, for example, in crop management. The transfer of this approach to facilities management and construction would improve the efficiency and automation of the data transition from building pathology to BIM. In this study, the technological feasibility and advantages of the integration of laser scanning and hyperspectral imaging (the latter not having previously been used in the construction context in its own right) is discussed, and an example of the use of a new integration technique is presented, applied for the first time in the context of buildings.

Research indicates that a link exists between resting heart rate (RHR) and various forms of antisocial, violent and criminal behavior among community and criminal samples. However, the relationship between RHR and engagement in aggressive/violent encounters among law enforcement has not yet been examined. The purpose of this paper is to examine the link between RHR and engagement in violent encounters using prospective longitudinal data on a sample of law enforcement officers in the USA.

Negative binomial regression, Kaplan-Meier survival analysis and Cox hazard regressions are conducted using a sample of 544 police officers to determine if there a relationship between RHR and engagement in violent encounters by law enforcement, even when controlling for demographics, biological and social covariates.

Results indicate that higher RHR is associated with an increased risk of officers engaging in a violent altercation, as measured by the number of arrests for suspects resisting arrest with violence, even after controlling for all other relevant factors.

This study was the first to examine police officers RHR levels and its associated with violent altercations during arrest using a rigorous statistical methodology.

The proposed theoretical model offers a systematic approach to synthesize the fragmented research on organizational crisis, disasters and extreme events.

This paper offers a theoretical model of organizational responses to extreme threats.

The paper explains that organizations choose between hypervigilance (freeze), exit (flight), growth (fight) and dormancy (fright) when faced with extreme threats. The authors explain how the choice between these responses are informed by the interplay between slack and routines.

The study’s theoretical model contributes by explaining the nature of organizational responses to extreme threats and how the two underlying mechanisms, slack and routines, determine heterogeneity between organizations.

The authors advance four key managerial considerations: the need to distinguish between discrete and chronic threats, the critical role of hypervigilance in the face of extreme threats, the distinction between resources and routines during threat mitigation, and the recognition that organizational exit may sometimes be the most effective means for survival.

The novelty of this paper pertains to the authors’ use of the comparative developmental approach to incorporate insights from the study of individual responses to life-threatening events to explain organizational responses to extreme threats.