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A deeper understanding of creativity and design is essential for the development of tools to improve designers’ creative processes and drive future innovation. The objective of this research is to evaluate the effect of physical activity versus movement in a virtual environment on the creative output of industrial design students. This study contributes a novel assessment of whether the use of virtual reality can produce the same creative output within designers as physical activity has been shown to produce in prior studies. Eighteen industrial design students at the Georgia Institute of Technology completed nine design tasks across three conditions in a within-subjects experimental design. In each condition, participants independently experienced one of three interventions. Solutions were scored for novelty and feasibility, and self-reported mood data was correlated with performance. No significant differences were found in novelty or feasibility of solutions across the conditions. However, there are statistically significant correlations between mood, interventions, and peak performance to be discussed. The results show that participants who experienced movement in virtual reality prior to problem solving performed at an equal or higher level than physical walking for all design tasks and all designer moods. This serves as motivation for continuing to study how VR can provide an impact on a designer's creative output. Hypothesized creative performance with each mode is discussed using trends from four categories of mood, based on the combined mood characteristics of pleasantness (positive/negative) and activation (active/passive).
This report provides technical information from a study on the lives of the second generation of Turkish and Moroccan immigrants in the Netherlands today. Respondents provided detailed information on cultural, social, and economic aspects of integration in Dutch society. This report has a methodological focus and is important to those wishing to further explore the collected data and examine aspects of the survey's design and implementation.
In this paper, an online self-gain tuning method of a PD computed torque control (CTC) is used for a 3UPS-PS parallel robot. The CTC is applied to the 3UPS-PS parallel robot based on the robot dynamic model which is established via a virtual work principle. The control system of the robot comprises a nonlinear feed-forward loop and a PD control feedback loop. To implement real-time online self-gain tuning, an adjustment method based on the genetic algorithm (GA) is proposed. Compared with the traditional CTC, the simulation results indicate that the control algorithm proposed in this study can not only enhance the anti-interference ability of the system but also improve the trajectory tracking speed and the accuracy of the 3UPS-PS parallel robot.
In this study, we introduce a novel three-dimensional micro-scale robot capable of swimming in low Reynolds number. The proposed robot consists of three rotating disks linked via three perpendicular adjustable rods, actuated by three rotary and three linear motors, respectively. The robot mechanism has an important property which makes it superior to the previously designed micro swimmers. In fact, our goal is designing a micro swimmer which its controllability matrix has full rank and hence it will be capable to perform any desired maneuver in space. After introducing the mechanism and derivation of the dynamical equations of motion, we propose a control method to steer the robot to the desired position and orientation in the presence of external disturbances in the low Reynolds number flow. Simulation results confirm the successful performance of the proposed mechanism and employed control method demonstrating high maneuverability of microrobot.
State preferences play an important role in international politics. Unfortunately, actually observing and measuring these preferences are impossible. In general, scholars have tried to infer preferences using either UN voting or alliance behavior. The two most notable measures of state preferences that have flowed from this research area are ideal points (Bailey et al., 2017) and S-scores (Signorino & Ritter, 1999). The basis of both these models is a spatial weighting scheme that has proven useful but discounts higher-order effects that might be present in relational data structures such as UN voting and alliances. We begin by arguing that both alliances and UN voting are simply examples of the multiple layers upon which states interact with one another. To estimate a measure of state preferences, we utilize a tensor decomposition model that provides a reduced-rank approximation of the main patterns across the layers. Our new measure of preferences plausibly describes important state relations and yields important insights on the relationship between preferences, democracy, and international conflict. Additionally, we show that a model of conflict using this measure of state preferences decisively outperforms models using extant measures when it comes to predicting conflict in an out-of-sample context.
Let G be a simple graph that is properly edge-coloured with m colours and let \[\mathcal{M} = \{ {M_1},...,{M_m}\} \] be the set of m matchings induced by the colours in G. Suppose that \[m \leqslant n - {n^c}\], where \[c > 9/10\], and every matching in \[\mathcal{M}\] has size n. Then G contains a full rainbow matching, i.e. a matching that contains exactly one edge from Mi for each \[1 \leqslant i \leqslant m\]. This answers an open problem of Pokrovskiy and gives an affirmative answer to a generalization of a special case of a conjecture of Aharoni and Berger. Related results are also found for multigraphs with edges of bounded multiplicity, and for hypergraphs.
Finally, we provide counterexamples to several conjectures on full rainbow matchings made by Aharoni and Berger.
In this paper, mathematical models of kinematics, statics and inverse dynamics are derived firstly according to the mechanical structure of leg hydraulic drive system (LHDS). Then, all the above models are integrated with MATLAB/Simulink to build the LHDS simulation model, the model not only considers influence of leg dynamic characteristics on hydraulic system but also takes into account nonlinearity, variable load characteristics and other common problems brought by hydraulic system, and solves compatibility and operation time which brought by using multiple software simultaneously. The experimental results show the simulation model built in this paper can accurately express characteristics of the system.