Overcoming restrictive technologies in police call centres: A human agency perspective

Call centres in the police force are restrictive information systems which tend to present call operators with constraints that they need to overcome using their experience in order to offer better services to the public. This paper is looking at how elements of human agency come in to play and help users’ enactment against restrictive technologies. Information systems research on human agency has been mainly focused on the examination of whether agency lies within human or machines or both while in this paper we take a different approach and we clearly describe how human agency is enacted in practice. We use empirical data from contact centres and operational rooms of five UK police forces. After extensive observations we present how police call handlers manipulate digital information efficiently through human agency. The theoretical framework is based on the three elements of agency theory (iteration, projectivity and practical evaluation) The research findings assert that call handlers overcome the restrictions of the system by forming human-digital networks and using mental structures from their past experience in order to cope with the task at hand. The paper concludes by drawing implications for theory and practice and suggests future research directions

Heisenberg Operator Approach for Spin Squeezing Dynamics

We reconsider the one-axis twisting Hamiltonian, which is commonly used for generating spin squeezing, and treat its dynamics within the Heisenberg operator approach. To this end we solve the underlying Heisenberg equations of motion perturbatively and evaluate the expectation values of the resulting time-dependent Heisenberg operators in order to determine approximately the dynamics of spin squeezing. Comparing our results with those originating from exact numerics reveals that they are more accurate than the commonly used frozen spin approximation.Comment: 16 pages, 3 figure

Model Predictive BESS Control for Demand Charge Management and PV-Utilization Improvement

Adoption of battery energy storage systems for behind-the-meters application offers valuable benefits for demand charge management as well as increasing PV-utilization. The key point is that while the benefit/cost ratio for a single application may not be favorable for economic benefits of storage systems, stacked services can provide multiple revenue streams for the same investment. Under this framework, we propose a model predictive controller to reduce demand charge cost and enhance PV-utilization level simultaneously. Different load patterns have been considered in this study and results are compared to the conventional rule-based controller. The results verified that the proposed controller provides satisfactory performance by improving the PV-utilization rate between 60% to 80% without significant changes in demand charge (DC) saving. Furthermore, our results suggest that batteries can be used for stacking multiple services to improve their benefits. Quantitative analysis for PV-utilization as a function of battery size and prediction time window has also been carried out.Comment: Accepted in: Conference on Innovative Smart Grid Technology (ISGT), Washington, DC, 201