Leveraging IS-based Energy Systems for Energy Poverty Alleviation in Zambia: An Interpretive Case Study

Energy poverty is a pressing societal challenge, affecting over 700 million people worldwide, particularly underserved communities. Although information systems (IS) resources have been made available to alleviate energy poverty, realizing their effective use for intended impacts remains challenging. In this ongoing research, we adopt a resourcing perspective to explore how IS resources can be effectively used to alleviate energy poverty in underserved contexts. We present a community case study in Lusaka, Zambia, where the effective use of IS-based Energy Systems (IES) has yielded promising results. We develop an initial framework that explains “what it takes” to realize effective IES resourcing for energy poverty alleviation, including mechanisms (i.e., gap spotting, narratives, and scaffolding) and actors (i.e., resource providers and users) in three stages - resourcing IN, resourcing WITHIN, and resourcing OUT. We also indicate the next steps of this study and expected contributions and discuss implications for future research

Leveraging IS-based Energy Systems for Energy Poverty Alleviation in Zambia: An Interpretive Case Study

Energy poverty is a pressing societal challenge, affecting over 700 million people worldwide, particularly underserved communities. Although information systems (IS) resources have been made available to alleviate energy poverty, realizing their effective use for intended impacts remains challenging. In this ongoing research, we adopt a resourcing perspective to explore how IS resources can be effectively used to alleviate energy poverty in underserved contexts. We present a community case study in Lusaka, Zambia, where the effective use of IS-based Energy Systems (IES) has yielded promising results. We develop an initial framework that explains “what it takes” to realize effective IES resourcing for energy poverty alleviation, including mechanisms (i.e., gap spotting, narratives, and scaffolding) and actors (i.e., resource providers and users) in three stages - resourcing IN, resourcing WITHIN, and resourcing OUT. We also indicate the next steps of this study and expected contributions and discuss implications for future research

Knowledge NeRF: Few-shot Novel View Synthesis for Dynamic Articulated Objects

We present Knowledge NeRF to synthesize novel views for dynamic scenes. Reconstructing dynamic 3D scenes from few sparse views and rendering them from arbitrary perspectives is a challenging problem with applications in various domains. Previous dynamic NeRF methods learn the deformation of articulated objects from monocular videos. However, qualities of their reconstructed scenes are limited. To clearly reconstruct dynamic scenes, we propose a new framework by considering two frames at a time.We pretrain a NeRF model for an articulated object.When articulated objects moves, Knowledge NeRF learns to generate novel views at the new state by incorporating past knowledge in the pretrained NeRF model with minimal observations in the present state. We propose a projection module to adapt NeRF for dynamic scenes, learning the correspondence between pretrained knowledge base and current states. Experimental results demonstrate the effectiveness of our method in reconstructing dynamic 3D scenes with 5 input images in one state. Knowledge NeRF is a new pipeline and promising solution for novel view synthesis in dynamic articulated objects. The data and implementation are publicly available at https://github.com/RussRobin/Knowledge_NeRF

Coupling of RF Antennas to Large Volume Helicon Plasma

Large volume helicon plasma sources are of particular interest for large scale semiconductor processing, high power plasma propulsion and recently plasma-material interaction under fusion conditions. This work is devoted to studying the coupling of four typical RF antennas to helicon plasma with infinite length and diameter of $0.5$~m, and exploring its frequency dependence in the range of $13.56-70$~MHz for coupling optimization. It is found that loop antenna is more efficient than half helix, Boswell and Nagoya III antennas for power absorption; radially parabolic density profile overwhelms Gaussian density profile in terms of antenna coupling for low-density plasma, but the superiority reverses for high-density plasma. Increasing the driving frequency results in power absorption more near plasma edge, but the overall power absorption increases with frequency. Perpendicular stream plots of wave magnetic field, wave electric field and perturbed current are also presented. This work can serve as an important reference for the experimental design of large volume helicon plasma source with high RF power