718 research outputs found
Influence of self-disassembly of bridges on collective flow characteristics of swarm robots in a single-lane and periodic system with a gap
Inspired by the living bridges formed by ants, swarm robots have been
developed to self-assemble bridges to span gaps and self-disassemble them.
Self-disassembly of bridges may increase the transport efficiency of swarm
robots by increasing the number of moving robots, and also may decrease the
efficiency by causing gaps to reappear. Our aim is to elucidate the influence
of self-disassembly of bridges on the collective flow characteristics of swarm
robots in a single-lane and periodic system with a gap. In the system, robots
span and cross the gap by self-assembling a single-layer bridge. We consider
two scenarios in which self-disassembling bridges is prevented
(prevent-scenario) or allowed (allow-scenario). We represent the horizontal
movement of robots with a typical car-following model, and simply model the
actions of robots for self-assembling and self-disassembling bridges. Numerical
simulations have revealed the following results. Flow-density diagrams in both
the scenarios shift to the higher-density region as the gap length increases.
When density is low, allow-scenario exhibits the steady state of repeated
self-assembly and self-disassembly of bridges. If density is extremely low,
flow in this state is greater than flow in prevent-scenario owing to the
increase in the number of robots moving horizontally. Otherwise, flow in this
state is smaller than flow in prevent-scenario. Besides, flow in this state
increases monotonically with respect to the velocity of robots in joining and
leaving bridges. Thus, self-disassembling bridges is recommended for only
extremely low-density conditions in periodic systems. This study contributes to
the development of the collective dynamics of self-driven particles that
self-assemble structures, and stirs the dynamics with other self-assembled
structures, such as ramps, chains, and towers.Comment: 13 pages, 9 figure
Characteristics of Medical Products Comprising Human Cells, Genes, or Tissues Developed in Japan and the European Union Compared via Public Assessment Reports
Effectiveness of Winter-Flooding in Organic Rice Farming and Some Relating Management Practices
Poster Session
Production of overdense plasmas by launching 2,45 GHz electron cyclotron waves in a helical device
For production of low temperature plasmas with low collisionality, 2.45GHz
microwave power up to 20kW is injected perpendicularly to the toroidal field at
very low toroidal field BtComment: 12th International Congress on Plasma Physics, 25-29 October 2004,
Nice (France
The Relationship Between Deep Rooting and Nitrate Leaching of Wheat in Subsoil Acidity
Poster Session
Human movement decisions during Coronavirus Disease 2019
To predict epidemics' future course in changing situations, understanding
human mobility patterns is important, notwithstanding decision-making process
uncertainties owing to difficulties in quantifying people's mobility change
decision timings, which make the mobility-epidemic causal relationship unclear.
We used the 'mobility avoidance index' to investigate time-series changes
during Japan's Coronavirus Disease 2019 (eight waves until February 2023) as a
previous study, which measured this index using accommodation reservation
data-booking/cancellation timings-was able to quantify the timing of
decision-making for mobility changes. Our analyses revealed two general
patterns: 1) the index increased/decreased proportional to logarithms of
reported cases during the first wave, conforming with Weber-Fechner's
psychophysics law; 2) its slope against the change in the number of reported
cases had similar values among the waves, but its intercepts changed as the
waves passed, suggesting that people neglected reported cases lower than a
certain threshold for behavioural decision-making. We shifted the threshold
level as the waves passed, and named this pattern 'shift of negligible
epidemic' rule. It is the first pattern quantitatively observed, that possesses
decision making tendencies for future mobility avoidance. Our findings
contribute to constructing a mathematical model, which simultaneously considers
epidemics and human mobility dynamics
The Relationship Between Seedling Quality and Root System of Rice Seedling in Organic Farming Analyzing with Root Modeling
Poster Session
Positive Effects of Tubificid Worms on Rice Growth and Yield in Organic Farming System
Poster Sessio
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