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Related papers: MOC - HEALPix Multi-Order Coverage map Version 1.0

200 papers

We describe the use of Multi Order Coverage (MOC) maps as a practical way to manage complex regions of the sky for the planning of multi-messenger observations. MOC maps are a data structure that provides a multi-resolution representation…

In this paper, we formulate the new multi-objective coverage (MOC) problem where our goal is to identify a small set of representative samples whose predicted outcomes broadly cover the feasible multi-objective space. This problem is of…

Machine Learning · Computer Science 2026-02-18 Zakaria Shams Siam , Xuefeng Liu , Chong Liu

Context. The Multi-Order Coverage map (MOC) is a widely adopted standard promoted by the International Virtual Observatory Alliance (IVOA) to support data sharing and interoperability within the Virtual Observatory (VO) ecosystem. This…

Object counting is a hot topic in computer vision, which aims to estimate the number of objects in a given image. However, most methods only count objects of a single category for an image, which cannot be applied to scenes that need to…

Computer Vision and Pattern Recognition · Computer Science 2024-01-22 Junyu Gao , Liangliang Zhao , Xuelong Li

The MocServer is an astronomical service dedicated to the manipulation of data set coverages. This server sets together about 15 000 spatial footprints associated to catalogs, data bases and pixel surveys. Thanks to the Multi-Order Coverage…

Instrumentation and Methods for Astrophysics · Physics 2016-11-07 Pierre Fernique , Thomas Boch , Anais Oberto , Francois-Xavier Pineau

HEALPix is a Hierarchical, Equal Area, and iso-Latitude Pixelisation of the sphere designed to support efficiently - local operations on the pixel set, - a hierarchical tree structure for multi-resolution applications, and - the global Fast…

We report the development of numerical tools for the topological analysis of sub--degree resolution, all--sky maps. Software to be released in the HEALFAST (V0.9) package defines neighbour relationships for the HEALPIX tessellation of the…

Astrophysics · Physics 2007-05-23 Benjamin D. Wandelt , Eric Hivon , Kris M. Gorski

This manuscript explores the complexities of multi-objective path planning, aiming to optimize routes against a backdrop of conflicting performance criteria. The study integrates the cell mapping approach as its foundational concept. A…

Robotics · Computer Science 2023-12-19 Athanasios Karagounis

This document presents HiPS, a hierarchical scheme for the description, storage and access of sky survey data. The system is based on hierarchical tiling of sky regions at finer and finer spatial resolution which facilitates a progressive…

Instrumentation and Methods for Astrophysics · Physics 2019-05-22 Pierre Fernique , Mark Allen , Thomas Boch , Tom Donaldson , Daniel Durand , Ken Ebisawa , Laurent Michel , Jesus Salgado , Felix Stoehr

Decades of research on Internet congestion control (CC) has produced a plethora of algorithms that optimize for different performance objectives. Applications face the challenge of choosing the most suitable algorithm based on their needs,…

Networking and Internet Architecture · Computer Science 2021-07-06 Yiqing Ma , Han Tian , Xudong Liao , Junxue Zhang , Weiyan Wang , Kai Chen , Xin Jin

The past decade and a half has seen the design and execution of several ground-based spectroscopic surveys, both Galactic and Extra-galactic. Additionally, new surveys are being designed that extend the boundaries of current surveys. In…

Instrumentation and Methods for Astrophysics · Physics 2016-06-15 G. R. Ruchti , S. Feltzing , K. Lind , E. Caffau , A. J. Korn , O. Schnurr , C. J. Hansen , A. Koch , L. Sbordone , R. S. de Jong

HEALPix -- the Hierarchical Equal Area isoLatitude Pixelization -- has become a standard in high-energy and gravitational wave astronomy. Originally developed to improve the efficiency of all-sky Fourier analyses, it is now also utilized to…

Instrumentation and Methods for Astrophysics · Physics 2022-05-18 I. Martinez-Castellanos , Leo P. Singer , E. Burns , D. Tak , Alyson Joens , Judith L. Racusin , Jeremy S. Perkins

Nowadays, several real-world tasks require adequate environment coverage for maintaining communication between multiple robots, for example, target search tasks, environmental monitoring, and post-disaster rescues. In this study, we look…

We present an online centralized path planning algorithm to cover a large, complex, unknown workspace with multiple homogeneous mobile robots. Our algorithm is horizon-based, synchronous, and on-demand. The recently proposed horizon-based…

Robotics · Computer Science 2024-03-08 Ratijit Mitra , Indranil Saha

The objective in this article is to develop a control strategy for coverage purposes of a convex region by a fleet of Mobile Aerial Agents (MAAs). Each MAA is equipped with a downward facing camera that senses a convex portion of the area…

Systems and Control · Electrical Eng. & Systems 2024-10-18 Sotiris Papatheodorou , Anthony Tzes

Clustering is fundamental for gaining insights from complex networks, and spectral clustering (SC) is a popular approach. Conventional SC focuses on second-order structures (e.g., edges connecting two nodes) without direct consideration of…

Machine Learning · Computer Science 2018-12-27 Yan Ge , Haiping Lu , Pan Peng

The problem of efficient modulation classification (MC) in multiple-input multiple-output (MIMO) systems is considered. Per-layer likelihood-based MC is proposed by employing subspace decomposition to partially decouple the transmitted…

Information Theory · Computer Science 2016-10-12 Hadi Sarieddeen , Mohammad M. Mansour , Ali Chehab

One of the key-points for the future developments of the multiconjugate adaptive optics for the astronomy is the availability of the correction for a large fraction of the sky. The sky coverage represents one of the limits of the existing…

Instrumentation and Methods for Astrophysics · Physics 2014-11-20 Carmelo Arcidiacono , Emiliano Diolaiti , Roberto Ragazzoni , Jacopo Farinato , Elise Vernet

This paper proposes MOON (Multi-Objective Optimization-driven Object-goal Navigation), a novel framework designed for efficient navigation in large-scale, complex indoor environments. While existing methods often rely on local heuristics,…

Robotics · Computer Science 2026-01-06 Daigo Nakajima , Kanji Tanaka , Daiki Iwata , Kouki Terashima

Real-time environmental monitoring using a multi-agent system (MAS) has long been a focal point of cooperative control. It is still a challenging task to provide cost-effective services for potential emergencies in surface environments.…

Optimization and Control · Mathematics 2024-05-06 Chao Zhai , Yuming Wu
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