# Articles — Recent

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Robot localization in a mapped environment using Adaptive Monte Carlo algorithm
Localization is the challenge of determining the robot's pose in a mapped environment. This is done by implementing a probabilistic algorithm to filter noisy sensor measurements and track the robot's position and orientation. This paper focuses on localizing a robot in a known mapped environment using Adaptive Monte Carlo Localization or Particle Filters method and send it to a goal state. ROS, Gazebo and RViz were used as the tools of the trade to simulate the environment and programming two robots for performing localization.
Sagarnil Das
ANALYSIS OF FLIGHT-EFFICIENT ECOSYSTEM SOLUTIONS IN A MULTI-AIRCRAFT CONFLICT ENVIRONMENT
To accommodate future demands in air traffic management, this article qualitatively elaborates the multi-aircraft conflict resolution relying on the concept of an airborne ecosystem, as a set of autonomously operating aircraft whose trajectories are causally involved in a tactically detected conflict. The methodology provides two types of solutions: Air Traffic Control-based resolution that is considered as one from a set of compulsory avoidance maneuvers at a certain time instance, and the multi-agent simulated resolution as a product of the aircraft negotiation interactions and agreement on the avoidance maneuvers for the conflict state removal. The article further analyses a flight efficiency of the ecosystem resolution, in both distance and time, by comparing the compulsory against the negotiated solutions. From the total amount of tested trajectories and identified conflict patterns, three ecosystem scenarios have been randomly selected and efficiently quantified. Finally, the results have shown the significant savings in favor of the multi-agent solution approach.
Laboratorios Windows Server 2016
Laboratorios Windows Server 2016
Claudia Carrizales
Studies in particle astrophysics with the ANITA experiment
The Antarctic Impulsive Transient Antenna (ANITA) is a NASA long-duration balloon experiment with the primary goal of detecting ultra-high-energy ($$&gt; 10^{18}$$eV) neutrinos via the Askaryan Effect. In the fourth ANITA mission, the Tunable Universal Filter Frontend (TUFF) boards were deployed for mitigation of narrow-band, anthropogenic noise with tunable, switchable notch filters. They contributed to a factor of 2.8 higher total instrument livetime in ANITA-4 compared to ANITA-3. A search for a diffuse flux of ultra-high-energy neutrinos was conducted using the data collected during the ANITA-3 flight with a new approach where the Antarctic ice area is sectioned off into bins and a search is performed with different thresholds in different bins. The binned analysis methods were extended to the development of a search for neutrinos from Gamma Ray Bursts, implementing constraints in time, and for the first time, in direction. Lower analysis thresholds were achieved in a feasibility search even when extending the search to include longer afterglow periods. Authored with osudiss-2.cls (v0.9.1)
Oindree Banerjee
Dhatrik Nikhil Kumar's CV
Dhatrik Nikhil Kumar's CV
Dhatrik Nikhil Kumar
Shivam Singh's CV
Shivam Singh's CV
Shivam Singh
Solutions for Concurrency Control in DBMS : A Survey
This is my first Survey paper and topic is from DBMS: Concurrency control solutions. I have compared different methods in this paper. As this is my first paper so critical review is highly needed
Faheem Feroz
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