scholarly journals Heterogeneous Map Merging: State of the Art

Robotics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 74 ◽  
Author(s):  
Andersone
Keyword(s):  
State Of The Art ◽  
Physical Nature ◽  
Attractive Alternative ◽  
Environment Modeling ◽  
Mapping Algorithms ◽  
Main Research ◽  
Model Merging ◽  
Shared Information ◽  
Technical Specifications ◽  
Map Merging

Multi-robot mapping and environment modeling have several advantages that makeit an attractive alternative to the mapping with a single robot: faster exploration, higherfault tolerance, richer data due to different sensors being used by different systems. However,the environment modeling with several robotic systems operating in the same area causes problemsof higher-order—acquired knowledge fusion and synchronization over time, revealing the sameenvironment properties using different sensors with different technical specifications. While theexisting robot map and environment model merging techniques allow merging certain homogeneousmaps, the possibility to use sensors of different physical nature and different mapping algorithms islimited. The resulting maps from robots with different specifications are heterogeneous, and eventhough some research on how to merge fundamentally different maps exists, it is limited to specificapplications. This research reviews the state of the art in homogeneous and heterogeneous mapmerging and illustrates the main research challenges in the area. Six factors are identified thatinfluence the outcome of map merging: (1) robotic platform hardware configurations, (2) maprepresentation types, (3) mapping algorithms, (4) shared information between robots, (5) relativepositioning information, (6) resulting global maps.

scholarly journals Self-Regulating Demand and Supply Equilibrium in Joint Simulation of Travel Demand and a Ride-Pooling Service

2021 ◽  
pp. 036119812199714
Author(s):  
Gabriel Wilkes ◽  
Roman Engelhardt ◽  
Lars Briem ◽  
Florian Dandl ◽  
Peter Vortisch ◽  
...  
Keyword(s):  
Real Time ◽  
Travel Demand ◽  
State Of The Art ◽  
Choice Model ◽  
Mode Choice ◽  
Attractive Alternative ◽  
Full Potential ◽  
Demand Model ◽  
Modeling Framework ◽  
Demand And Supply

This paper presents the coupling of a state-of-the-art ride-pooling fleet simulation package with the mobiTopp travel demand modeling framework. The coupling of both models enables a detailed agent- and activity-based demand model, in which travelers have the option to use ride-pooling based on real-time offers of an optimized ride-pooling operation. On the one hand, this approach allows the application of detailed mode-choice models based on agent-level attributes coming from mobiTopp functionalities. On the other hand, existing state-of-the-art ride-pooling optimization can be applied to utilize the full potential of ride-pooling. The introduced interface allows mode choice based on real-time fleet information and thereby does not require multiple iterations per simulated day to achieve a balance of ride-pooling demand and supply. The introduced methodology is applied to a case study of an example model where in total approximately 70,000 trips are performed. Simulations with a simplified mode-choice model with varying fleet size (0–150 vehicles), fares, and further fleet operators’ settings show that (i) ride-pooling can be a very attractive alternative to existing modes and (ii) the fare model can affect the mode shifts to ride-pooling. Depending on the scenario, the mode share of ride-pooling is between 7.6% and 16.8% and the average distance-weighed occupancy of the ride-pooling fleet varies between 0.75 and 1.17.

Ontologies for information entities: State of the art and open challenges

2021 ◽  
Vol 16 (2) ◽  
pp. 111-135
Author(s):  
Emilio M. Sanfilippo
Keyword(s):  
State Of The Art ◽  
The State ◽  
Literary Studies ◽  
Health Records ◽  
Research Challenges ◽  
Open Research ◽  
Applied Ontology ◽  
Nature Of Information ◽  
Technical Specifications

Information entities are used in ontologies to represent engineering technical specifications, health records, pictures or librarian data about, e.g., narrative fictions, among others. The literature in applied ontology lacks a comparison of the state of the art, and foundational questions on the nature of information entities remain open for research. The purpose of the paper is twofold. First, to compare existing ontologies with both each other and theories proposed in philosophy, semiotics, librarianship, and literary studies in order to understand how the ontologies conceive and model information entities. Second, to discuss some open research challenges that can lead to principled approaches for the treatment of information entities, possibly by getting into account the variety of information entity types found in the literature.

scholarly journals Estado del arte del rendimiento académico en la educación media

2014 ◽  
Vol 17 (17) ◽  
pp. 197-220
Author(s):  
Oscar Hernán Cerquera Losada
Keyword(s):  
Academic Achievement ◽  
Secondary Education ◽  
State Of The Art ◽  
School Achievement ◽  
The State ◽  
Main Research ◽  
The World ◽  
El Sistema ◽  
The Individual

Este documento muestra el Estado de arte de los determinantes del rendimiento académico en la educación media, teniendo en cuenta las principales investigaciones realizadas, tanto a nivel nacional como internacional, acerca de los factores que influyen en el logro escolar de los estudiantes. Con este trabajo, se busca establecer las principales variables, tanto en Colombia como en algunos lugares del mundo, que afectan el desempeño académico de los estudiantes. Este documento se organiza en dos sesiones, determinantes a nivel mundial y determinantes a nivel colombiano; cada sesión clasifica las investigaciones de acuerdo a los factores del estudiante, de la escuela y las características organizacionales y políticas. A pesar de existir muchas investigaciones sobre el tema, aún no se ha llegado a un consenso general sobre cómo determinar los factores del  rendimiento académico, pues en la realidad son muchas las características del individuo, la escuela o el sistema que se relacionan entre sí de diferente manera y pueden afectar el logro estudiantil.ABSTRACTThis document shows the state of the art of the determinants of academic achievement in secondary education, taking into account the main research conducted, both nationally and internationally, about the factors that influence school achievement of students. With this paper, we seek to establish the main variables which affect the academic achievement of students in Colombia as well as in some parts of the world. This document is organized in two sessions: world and Colombian determinants; each session classifies research according to the factors of the student, the school and organizational and political characteristics. Although there is much research on the topic so far it has not been possible to reach a consensus on how to determine the factors of academic achievement, because in reality many characteristics of the individual, of the school or of the system relate to each other differently and can affect student achievement.RESUMOEste documento mostra o Estado da arte dos determinantes do rendimento escolar no ensino medio, tendo em conta às principais pesquisas realizadas, tanto a nível nacional como internacionalmente, sobres os fatores que influenciam o desempenho escolar dos estudantes. Com este trabalho, se procura estabelecer as principais variáveis, tanto na Colômbia e em alguns lugares do mundo, afetando o desempenho acadêmico dos estudantes. Este documento está organizado em duas sessões, determinantes a nível mundial e determinantes a nível colombiano; cada sessão clasifica as pesquisas de acordó a os fatores do estudante, da escola e das características organizacionais e políticas. Embora haja muitas pesquisas sobre o tema, ainda não se chegou a um consenso geral sobre os fatores determinantes no desempenho acadêmico, porque na realidade são muitas as características do indivíduo, a escola ou o sistema que se relacionam uns com os outros de forma diferente e podem afetar o desempenho acadêmico.

scholarly journals Damage analysis and assessment of the impact of damage on the operation of supporting structures of oil refining tube furnaces

2020 ◽  
Vol 16 (3) ◽  
pp. 193-202
Author(s):  
Alexander V. Golikov ◽  
Dmitry I. Subbotin
Keyword(s):  
Structural Damage ◽  
Spatial Models ◽  
Physical Nature ◽  
Oil Refining ◽  
Main Research ◽  
Software Products ◽  
Tube Furnaces ◽  
Supporting Frame ◽  
The Impact ◽  
Supporting Structures

Relevance. Due to the widespread use in practice, tubular furnaces were chosen as the object of study of this work. The article provides an analysis of damage to the supporting structures of oil refining tubular furnaces. The causes of damage and the physical nature of the development of damage are established. According to the results of field surveys, it was found that about 10% of the furnaces are operated with damage in the form of significant curvature of the supporting structures that developed as a result of the explosion of the gas-air mixture and the technological product inside the furnace space. The aim of the work is to analyze the damage and assess the impact of damage on the operation of the supporting structures of furnaces. Methods. The main research results were obtained by static numerical analysis of spatial models of furnace frameworks in the LIRA-SAPR software package. This complex belongs to the class of software products that implement the finite element method. Results. According to the results of calculating a series of models of structures, the effect of damage on the operation of the supporting structures of the furnace is determined. Based on the analysis of calculation data for models of tube furnaces with damage and comparison of calculation results for furnace models with structural damage identified during the survey, ways to optimize the design decisions of an industrial furnace are determined. Studies have shown the need to improve the design of tube furnaces in the direction of improving technology and improving the structural form of the supporting frame of the furnace.

scholarly journals Optimal Prescriptive Trees

2019 ◽  
Vol 1 (2) ◽  
pp. 164-183 ◽  
Author(s):  
Dimitris Bertsimas ◽  
Jack Dunn ◽  
Nishanth Mundru
Keyword(s):  
Decision Making ◽  
Linear Models ◽  
State Of The Art ◽  
Online Advertising ◽  
Real Data ◽  
Attractive Alternative ◽  
High Quality ◽  
And Performance ◽  
Multiple Treatments ◽  
And Personalized Medicine

Motivated by personalized decision making, given observational data [Formula: see text] involving features [Formula: see text], assigned treatments or prescriptions [Formula: see text], and outcomes [Formula: see text], we propose a tree-based algorithm called optimal prescriptive tree (OPT) that uses either constant or linear models in the leaves of the tree to predict the counterfactuals and assign optimal treatments to new samples. We propose an objective function that balances optimality and accuracy. OPTs are interpretable and highly scalable, accommodate multiple treatments, and provide high-quality prescriptions. We report results involving synthetic and real data that show that OPTs either outperform or are comparable with several state-of-the-art methods. Given their combination of interpretability, scalability, generalizability, and performance, OPTs are an attractive alternative for personalized decision making in a variety of areas, such as online advertising and personalized medicine.

Text Mining in Bioinformatics

2013 ◽  
Vol 3 (2) ◽  
pp. 30-39 ◽  
Author(s):  
Yanliang Qi
Keyword(s):  
Text Mining ◽  
State Of The Art ◽  
Rapid Development ◽  
Exponential Rate ◽  
Data Set ◽  
Research Directions ◽  
Main Research ◽  
Needed Information ◽  
Huge Data ◽  
Daunting Task

Biomedical literatures have been increased at the exponential rate. To find the useful and needed information from such a huge data set is a daunting task for users. Text mining is a powerful tool to solve this problem. In this paper, we surveyed on text mining in Bioinformatics with emphasis on applications of text mining for bioinformatics. In this paper, the main research directions of text mining in bioinformatics are accompanied with detailed examples. This paper suited the need for the state-of-the-art of the field of text mining in Bioinformatics because of the rapid development in both text mining and bioinformatics. Finally, the problems and future way are identified at last.

scholarly journals The Characteristics of the Map Merging Methods: A Survey

2010 ◽  
Vol 41 (1) ◽  
pp. 113-121 ◽  
Author(s):  
Ilze Andersone
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
Research Field ◽  
Autonomous Mobile Robots ◽  
Multiple Robots ◽  
Characteristic Set ◽  
Robotic Mapping ◽  
New Research ◽  
Multi Robot ◽  
Map Merging

The Characteristics of the Map Merging Methods: A SurveyThe development of the autonomous mobile robots is a popular field of research in the artificial intelligence for more than twenty years. An important prerequisite for creation of autonomous robot is the ability to create a map of the environment. However there are several problems in the robotic mapping that are still not completely solved. The use of multiple robots for mapping solves some of these problems, but in this case several new problems, specific to multi-robot mapping, arise. One of the problems in multi-robot mapping is merging all of the local maps that robots have created into one global map. The application of the robot teams in the exploration is a relatively new research field and initially methods for multi-robot mapping were just extended single robot mapping methods. Consequently the map merging problem was simplified. The research of map merging has only recently evolved, thus existing papers on the map merging describe specific map merging methods and there are no comprehensive surveys on the state of the art in the field of map merging. Therefore the goal of this paper is to describe the situation in the field of the map merging and to identify the main characteristics of the map merging methods. The interrelations of these characteristics can then be identified and the corresponding map merging approaches of each characteristic set named.

scholarly journals K-means clustering based tone-mapping operator for high dynamic range video

2021 ◽  
Author(s):  
Negar Taherian
Keyword(s):  
Clustering Algorithm ◽  
Dynamic Range ◽  
State Of The Art ◽  
High Dynamic Range ◽  
Tone Mapping ◽  
Scene Change Detection ◽  
Mapping Algorithms ◽  
Mapping Algorithm ◽  
High Dynamic ◽  
Video Input

The field of high dynamic range (HDR) imaging deals with capturing the luminance of a natural scene, usually varying between 10−3 to 105 cd/m2 and displaying it on digital devices with much lower dynamic range. Here, we present a novel tone mapping algorithm that is based on K-means clustering. Our algorithm takes into account the color information within a frame and using k-means clustering algorithm it builds clusters on the intensities within an image and shifts the values within each cluster to a displayable dynamic range. We also implement a scene change detection to reduce the running time of our algorithm by using the cluster information from the previous frame for frames within the same scene. To reduce the flicker effect, we proposed a new method that multiplies a leaky integer to the centroid values of our clustering results. Our algorithm runs in O( N logK + K logK ) for an image with N input luminance levels and K output levels. We also show how to extend the method to handle video input. We display that our algorithm gives comparable results to state-of-the- art tone mapping algorithms. We test our algorithm on a number of standard high dynamic range images and video sequences and provide qualitative and quantitative comparisons to a number of state-of-the-art tone mapping algorithms for videos.

Where to direct research in lean six sigma?

2018 ◽  
Vol 9 (3) ◽  
pp. 324-350 ◽  
Author(s):  
Fabio Francisco da Silva ◽  
Lukas Daniel Filser ◽  
Fernando Juliani ◽  
Otávio José de Oliveira
Keyword(s):  
Six Sigma ◽  
State Of The Art ◽  
Lean Six Sigma ◽  
Research Trends ◽  
Content Type ◽  
Main Research ◽  
Efficiency And Effectiveness ◽  
Subject Areas ◽  
Number Of Citations ◽  
Practical Implications

Purpose Lean Six Sigma (LSS) is a continuous improvement methodology used to increase the efficiency and effectiveness of processes. Although there are several articles published, only two have analyzed the literature from a bibliometrics perspective. The purpose of this paper is to analyze the LSS literature by bibliometrics, identifying its state of the art, scientific gaps and research trends. Design/methodology/approach Articles published up to 2016 in the database Scopus were investigated to identify the most significant articles, authors, journals, institutions and countries based on citation counting as well as the most frequent keywords and subject areas on LSS. Articles published in 2014, 2015 and 2016 were analyzed to point out scientific gaps and to identify eight main research trends on LSS. Findings The research trends are: “LSS implementation”, “Healthcare”, “LSS tools”, “Human factors”, “Expansion of results”, “SME”, “LSS combined with other methodologies” and “Education”. The research outcomes also point out the most significant articles, authors, journals, institutions and countries in LSS literature. Practical implications This research contributes to develop the state of the art of LSS and helps professionals as well as researchers to identify which issues new studies should address. Originality/value The performance of the literature is measured based on the number of citations and not on the number of published papers, and the bibliometric analysis covers the highest number of articles so far (319 articles). Besides, the identification of the main research trends on LSS is exclusively based on the most recent studies.

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