Managerial interpretation of environment dynamism, nonlocal search trajectories, and ties with service intermediaries

2012 ◽  
Author(s):  
W. Kittilaksanawong ◽  
T. Shentu ◽  
B. Guo ◽  
J. Du
Keyword(s):  
Search Trajectories

“Nearest Zero-point” Algorithm for Cooperative Robotic Search Missions

2017 ◽  
Vol 6 (1) ◽  
pp. 49
Author(s):  
Vahid Aryai ◽  
Mahsa Kharazi ◽  
Farid Ariai
Keyword(s):  
Path Planning ◽  
Data Exchange ◽  
Zero Point ◽  
Programming Environment ◽  
Cooperative Search ◽  
Mission Duration ◽  
Search Trajectories ◽  
C Programming ◽  
Exchange Algorithms ◽  
Robotic Missions

<p><span lang="EN-AU">Four path planning and data exchange algorithms for cooperative search and coverage robotic missions are proposed and modified. The introduced methods are simulated using C++ programming environment and the results are discussed in detail for environments with static obstacles. It has been shown that using the <strong>“nearest zero-point”</strong> algorithm can greatly optimize the mission duration and also overlapping of the search trajectories. Finally, the results are compared with several existing algorithms.</span></p>

scholarly journals Recommendation of Search Trajectories to Travel Package for Real Time

2021 ◽  
Vol 11 (2) ◽  
pp. 352-363
Author(s):  
Dr.M. Somu ◽  
N. Saravanan ◽  
S. Subhitha ◽  
A. Thambidinakaran ◽  
G. Ragul
Keyword(s):  
Real Time ◽  
Public Transport ◽  
Cell Phones ◽  
Search Trajectories ◽  
Day By Day ◽  
The Web ◽  
Basic Test

Ongoing years have seen an expanded interest in recommender frameworks. Notwithstanding huge advancement in this field, there still stay various roads to investigate. Surely, this work gives an investigation of misusing on the web travel data for customized travel bundle suggestion. A basic test along this line is to address the remarkable attributes of movement information, which recognize travel bundles from customary things for proposal. With that in mind, in this work, we initially dissect the qualities of the current travel bundles and build up a traveler region season subject (TAST) model. This TAST model can address travel bundles and sightseers by various subject disseminations, where the point extraction is molded on both the vacationers and the inherent highlights (i.e., areas, travel periods) of the scenes. GPS empowers cell phones to constantly give new freedoms to improve our day by day lives. For instance, the information gathered in applications made by Uber or Public Transport Authorities can be utilized to design transportation courses, gauge limits, and proactively recognize low inclusion zones.

Evolving search trajectories

2020 ◽  
Author(s):  
Vincent Hénaux ◽  
Adrien Goëffon ◽  
Frédéric Saubion
Keyword(s):  
Search Trajectories

Search trajectories illuminated

2021 ◽  
Vol 14 (2) ◽  
pp. 1-5
Author(s):  
Gabriela Ochoa ◽  
Katherine M. Malan ◽  
Christian Blum
Keyword(s):  
Single Point ◽  
Data Driven ◽  
Modeling Tool ◽  
Journal Paper ◽  
Search Trajectories ◽  
Data Driven Modeling

This article summarizes our recent journal paper entitled "Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics", where we propose a graph-based, data-driven modeling tool (STNs) to visualize and analyze the dynamics of any type of metaheuristic (evolutionary, swarm-based or single-point).

scholarly journals Principles of transcription factor traffic on folded chromatin

2017 ◽  
Author(s):  
Ruggero Cortini ◽  
Guillaume Filion
Keyword(s):  
Transcription Factors ◽  
Low Density ◽  
Chromosome Conformation ◽  
Know How ◽  
Several Variables ◽  
Search Trajectories ◽  
Dynamics Simulations ◽  
Animal Genomes ◽  
Conflicting Role

AbstractAll organisms regulate the transcription of their genes. To understand this process, it is essential to know how transcription factors find their targets in the genome. In addition to the DNA sequence, several variables have a known influence, but overall the binding patterns of transcription factors distribution remains mostly unexplained in animal genomes. Here we investigate the role of the chromosome conformation in shaping the search path of transcription factors. Using molecular dynamics simulations, we uncover the main principles of their diffusion on folded chromatin. Chromosome contacts play a conflicting role: at low density they enhance the traffic of transcription factors, but a high density they lower the traffic by volume exclusion. Consistently, we observe that in human cells, highly occupied targets, where protein binding is promiscuous, are found at sites engaged in chromosome loops within uncompact chromatin. In summary, those results provide a theoretical framework to understand the search trajectories of transcription factors and highlight the key contribution of genome conformation.

scholarly journals Diverse food-sensing neurons trigger idiothetic local search in Drosophila

2018 ◽  
Author(s):  
Román A. Corfas ◽  
Michael H. Dickinson
Keyword(s):  
Local Search ◽  
Path Integration ◽  
Neural System ◽  
Neural Pathways ◽  
Local Searches ◽  
Search Trajectories ◽  
Food Site ◽  
The Central Nervous System ◽  
Receptor Neurons ◽  
External Stimuli

ABSTRACTResources are often sparsely clustered in nature. Thus, foraging animals may benefit from remembering the location of a newly discovered food patch while continuing to explore nearby [1, 2]. For example, after encountering a drop of yeast or sugar, hungry flies often perform a local search consisting of frequent departures and returns to the food site [3, 4]. Fruit flies, Drosophila melanogaster, can perform this food-centered search behavior in the absence of external stimuli or landmarks, instead relying solely on internal (idiothetic) cues to keep track of their location [5]. This path integration behavior may represent a deeply conserved navigational capacity in insects [6, 7], but the neural pathways underlying food-triggered searches remain unknown. Here, we used optogenetic activation to screen candidate cell classes and found that local searches can be initiated by diverse sensory neurons including sugar-sensors, water-sensors, olfactory-receptor neurons, as well as hunger-signaling neurons of the central nervous system. Optogenetically-induced searches resemble those triggered by actual food and are modulated by starvation state. Furthermore, search trajectories exhibit key features of path integration: searches remain tightly centered around the fictive-food site, even during long periods without reinforcement, and flies re-center their searches when they encounter a new fictive-food site. Flies can even perform elaborate local searches within a constrained maze. Together, these results suggest that flies enact local searches in response to a wide variety of food-associated cues, and that these sensory pathways may converge upon a common neural system for path integration. Optogenetically induced local searches in Drosophila can now serve as a tractable system for the study of spatial memory and navigation in insects.

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