Soliton-potential interaction in the nonlinear Klein-Gordon model

The interaction of solitons with external potentials in nonlinear Klein-Gordon field theory is investigated using an improved model. The presented model has been constructed with a better approximation for adding the potential to the Lagrangian through the metric of background space-time. The results of the model are compared with another model and the differences are discussed.Comment: 14 pages,8 figure

Development of risk maps for flood, landslide, and soil erosion using machine learning model

Natural hazards, such as flood, landslide, and erosion, are the reality of human life. spatial prediction of these hazards and their effectiveness factors are extremely important. The main goal of this study was to prepare multi-hazard probability mapping (flood, landslide, and gully erosion) of the Gorganrood Watershed. In addition, different machine learning models such as Random Forest (RF), Support Vector Machine (SVM), Boosted Regression Tree (BRT), and Multivariate Adaptive Regression Spilines (MARS) were applied. First, a flood, landslide, and gully erosion inventory map was produced using GPS in the field surveys and Google Earth. Factors affecting the hazards were identified, and GIS maps were prepared. The MARS model (AUC = 99.1%) provided the highest predictive performance for flood, landslide, and gully erosion hazards. However, for flood and landslide, the RF model exposed excellent and good performance, respectively. According to the variable importance analysis, drainage density (89.4%), digital elevation model (30.5%), and rainfall (41.7%) were consistently highly ranked variables for flood, landslide, and gully erosion, respectively. Multi-hazard maps can be a valuable tool for the conservation of natural resources and the environment, as well as for sustainable land use planning in multi-hazard-prone areas

Collective-coordinate analysis of inhomogeneous nonlinear Klein-Gordon field theory

Two different sets of collective-coordinate equations for solitary solutions of Nonlinear Klein-Gordon (NKG) model is introduced. The collective-coordinate equations are derived using different approaches for adding the inhomogeneities as exrernal potentials to the soliton equation of motion. Interaction of the NKG field with a local inhomogeneity like a delta function potential wall and also delta function potential well is investigated using the presented collective-coordinate equations and the results of two different models are compared. Most of the characters of the interaction are derived analytically. Analytical results are also compared with the results of numerical simulations.Comment: 16 pages, 8 figures. Accepted for publication in Volume 43 of the Brazilian Journal of Physic

Rethinking non-traditional resistance at work : the case of the Indian Diaspora in Mauritius

Resistance at work can take many forms and this is reflected in the multiple ways it has been theorised in research. In this paper, I use postcolonial theory to analyse employee resistance in Mauritius. To do this, I deploy Homi Bhabha’s concepts of mimicry, ambivalence and hybridity to explore non-traditional forms of resistance among the Indian Diaspora working in the hotel industry. Using ethnographic research, I firstly look at its ‘home’-making practices as it is within the home that visions of community emerge (Bhabha, 1994) which could later influence behaviours at work. I argue that the Diaspora maintains connections with its ancestral roots via routine religious practices and language use while concomitantly resisting assimilation in the local context. The analysis is then extended to their workplace where further forms of non-traditional resistance are found to be enacted which are strongly influenced by the same values emerging at home

Are researchers deliberately bypassing the technology transfer office? An analysis of TTO awareness

Most universities committed to the commercialization of academic research have established technology transfer offices (TTOs). Nonetheless, many researchers bypass these TTOs and take their inventions directly to the marketplace. While TTO bypassing has typically been portrayed as deliberate and undesirable behavior, we argue that it could be unintentional as many researchers may simply be unaware of the TTO’s existence. Taking an information-processing perspective and using data on 3250 researchers in 24 European universities, we examine researcher attributes associated with TTO awareness. Our evidence confirms that only a minority of researchers are aware of the existence of a TTO at their university. TTO awareness is greater among researchers who possess experience as entrepreneurs, closed many research and consulting contracts with industry partners, conduct research in medicine, engineering or life sciences, or occupy postdoctoral positions. Policy implications of these findings are discussed

Embedding Radars in Robots for Safety and Obstacle Detection

A safety system is designed to use small, low-cost radars embedded in joints and end effectors of a robot to monitor an environment for potential safety hazards. In this way, the radars directly detect obstacles with respect to the moving parts of the robot. A safety controller analyzes the obstacle data provided by the radars and determines an appropriate operating state of the robot based on predefined safety requirements

Embedding Radars in Robots to Accurately Measure Motion

A motion correction system is designed to use small, low-cost radars embedded in joints and end effectors of a robot to measure motion of the robot. In this way, the radars directly measure the robot’s motion and relative position and velocity with respect to a target. A motion correction controller analyzes the motion data provided by the radars and determines an amount of motion correction required to accurately position the robot

Closed-Loop Manufacturing System Using Radar

A closed-loop manufacturing system is designed to use small, low-cost radar to observe a manufacturing process and measure characteristics of a build product. The build data measured by the radar includes geometry, reflection characteristics, material density, and high resolution maps. A controller processes the build data to detect errors. Example errors include mistakes in geometry, delamination, curling, shrinkage, lack of material uniformity, air bubbles, inclusions, and contaminations in the build product. Based on the detected errors, the controller determines build corrections and reports the build corrections to the manufacturing process. Using radar, the closed-loop manufacturing system automatically detects and corrects errors, saving time and resources in additive and subtractive manufacturing