21 research outputs found
ΠΠΎΠΏΡΠΎΡΡ Ρ ΡΠ°Π½Π΅Π½ΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎ ΡΠ°ΡΠΏΠΈΡΠ°Π½ΠΈΠΈ Π·Π°Π½ΡΡΠΈΠΉ Π²ΡΠ·Π°
Carbon saturation of silicon target under the action of pulsed high-intensity ion beam
The action of the pulsed high-intensity ion (carbon) beam on the silicon target is investigated by means of the theoretical model. The forming of the carbon concentration profile in depth of the silicon sample is modelled. It is argued, that there are two ways of the profile forming: short-pulsed ion (carbon) implantation and diffusion of the carbon atoms adsorbed on the silicon surface. It is shown, that the carbon atoms adsorbed on the silicon surface and diffused into the silicon target play the main role in the concentration profile forming
You say Potato, I say Po-Data:Physical Template Tools for Authoring Visualizations
Data visualization authoring tools for the general public remains an ongoing challenge. Inspired by block-printing, we explore how visualization stamps as a physical tool for authoring visualizations could leverage both visual freedom and ease of repetition. We conducted two workshops where participants authored visualizations on paper using hand-carved stamps made from potatoes and sponges. The low-fidelity medium freed participants to test new stamp patterns and accept mistakes. From the created visualizations, we observed several unique traits and uses of block-printing tools for authoring visualizations, including: modularity of patterns; annotation guides; creation of multiple patterns from one stamp; and various techniques to apply data onto paper. We discuss issues around expressivity and effectiveness of block-printing stamps in authoring visualizations, and identify implications for the design and assembly of primitives in potential visualization stamp kits, as well as applications for future use in non-digital environments
Considering agency and data granularity in the design of visualization tools
The Ecuadorian Government supports Gonzalo Gabriel MΓ©ndez through a SENESCYT scholarship.Previous research has identified trade-offs when it comes to designing visualization tools. While constructive βbottom-upβ tools promote a hands-on, user-driven design process that enables a deep understanding and control of the visual mapping, automated tools are more efficient and allow people to rapidly explore complex alternative designs, often at the cost of transparency. We investigate how to design visualization tools that support a user-driven, transparent design process while enabling efficiency and automation, through a series of design workshops that looked at how both visualization experts and novices approach this problem. Participants produced a variety of solutions that range from example-based approaches expanding constructive visualization to solutions in which the visualization tool infers solutions on behalf of the designer, e.g., based on data attributes. On a higher level, these findings highlight agency and granularity as dimensions that can guide the design of visualization tools in this space.Postprin