scholarly journals Distributed Formation Estimation Via Pairwise Distance Measurements

2021 ◽  
Vol 6 (2) ◽  
pp. 3017-3024
Author(s):  
Thomas Ziegler ◽  
Marco Karrer ◽  
Patrik Schmuck ◽  
Margarita Chli
Keyword(s):  
Pairwise Distance ◽  
Distance Measurements

scholarly journals On Distributed Localization for Road Sensor Networks: A Game Theoretic Approach

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Jie Jia ◽  
Guiyuan Zhang ◽  
Xingwei Wang ◽  
Jian Chen
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
Optimal Solution ◽  
Pairwise Distance ◽  
Potential Game ◽  
Theoretic Approach ◽  
Distance Measurements ◽  
Node Connectivity ◽  
Anchor Nodes ◽  
Game Theoretic

Road sensor network is an important part of vehicle networks system and is critical for many intelligent automobile scenarios, such as vehicle safety monitoring and transportation efficiency supporting. Localization of sensors is an active and crucial issue to most applications of road sensor network. Generally, given some anchor nodes’ positions and certain pairwise distance measurements, estimating the positions of all nonanchor nodes embodies a nonconvex optimization problem. However, due to the small number of anchor nodes and low sensor node connectivity degree in road sensor networks, the existing localization solutions are ineffective. In order to tackle this problem, a novel distributed localization method based on game theory for road sensor networks is proposed in this paper. Formally, we demonstrate that our proposed localization game is a potential game. Furthermore, we present several techniques to accelerate the convergence to the optimal solution. Simulation results demonstrate the effectiveness of our proposed algorithm.

Relationships, derived from optimum alignments, among amino acid sequences of plant peroxidases

1992 ◽  
Vol 70 (3) ◽  
pp. 543-556 ◽  
Author(s):  
Hugh Tyson
Keyword(s):  
Amino Acid ◽  
Dna Sequences ◽  
Average Distance ◽  
Amino Acid Sequences ◽  
Pairwise Distance ◽  
Distance Measurements ◽  
Plant Peroxidases ◽  
Optimum Alignment ◽  
Sequence Relationships ◽  
Sequence Similarities

The amino acid and (or) DNA sequences of 13 plant peroxidases (EC 1.11.1.7), which include isozymes within species, are currently available in data bases; all have similar lengths of approximately 300 amino acids. Sequence relationships among these 13, plus 2 microbial peroxidases of similar length, were examined. The 15 sequences were compared in all 105 pairwise combinations using optimum alignment procedures. Gap penalties were determined from analysis of penalty change effects. Distances between sequences generated by optimum alignments were analysed by clustering techniques to generate dendrograms. Specific distances, which provided pairwise distance measurements independent of the average distance for a sequence, were used to evaluate sequence similarities; closely related sequences produce closely correlated specific distances. Among the seven plant species, five subgroups were established: (1) horseradish isoperoxidases, (2) turnip and wheat, (3) cucumber and tobacco, (4) potato and tomato, and (5) in which cytochrome c peroxidase showed some similarity to ligninase, but both were only distantly related to plant peroxidases. Horseradish isoperoxidases were related to sequences in subgroups 2, 3, and 4 but resembled subgroups 2 and 3 more closely than 4. Subgroup 2 was more related to 3 than any other. Key words: plant peroxidases, sequence relationships, peroxidase profiles.

scholarly journals Microarcsec Astrometry: The Gaia Mission

1998 ◽  
Vol 11 (1) ◽  
pp. 581-582
Author(s):  
L. Lindegren ◽  
M.A.C. Perryman
Keyword(s):  
Accurate Determination ◽  
Distance Measurements ◽  
Profound Impact ◽  
Individual Stars ◽  
The Galaxy ◽  
Direct Distance ◽  
Scientific Potential ◽  
Space Astrometry ◽  
Small Instrument

The Hipparcos mission demonstrated the efficiency of space astrometry (in terms of number of objects, accuracy, and uniformity of results) and the fact that a relatively small instrument can have a very large scientific potential in the area of astrometry. However, Hipparcos could probe less than 0.1 per cent of the volume of the Galaxy by direct distance measurements. Using a larger instrument and more efficient detectors, it is now technically feasible to increase the efficiency of a space astrometry mission by several orders of magnitude, thus encompassing a large part of the Galaxy within its horizon for accurate determination of parallaxes and transverse velocities. Such a mission will have immediate and profound impact in the areas of the physics and evolution of individual stars and of the Galaxy as a whole.

scholarly journals DL-based segmentation of endoscopic scenes for mitral valve repair

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Matthias Ivantsits ◽  
Lennart Tautz ◽  
Simon Sündermann ◽  
Isaac Wamala ◽  
Jörg Kempfert ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Minimally Invasive ◽  
Mitral Valve Repair ◽  
Video Stream ◽  
Field Of View ◽  
Valve Repair ◽  
Distance Measurements ◽  
Anatomical Structures ◽  
Endoscopic Video ◽  
Camera Position

AbstractMinimally invasive surgery is increasingly utilized for mitral valve repair and replacement. The intervention is performed with an endoscopic field of view on the arrested heart. Extracting the necessary information from the live endoscopic video stream is challenging due to the moving camera position, the high variability of defects, and occlusion of structures by instruments. During such minimally invasive interventions there is no time to segment regions of interest manually. We propose a real-time-capable deep-learning-based approach to detect and segment the relevant anatomical structures and instruments. For the universal deployment of the proposed solution, we evaluate them on pixel accuracy as well as distance measurements of the detected contours. The U-Net, Google’s DeepLab v3, and the Obelisk-Net models are cross-validated, with DeepLab showing superior results in pixel accuracy and distance measurements.

scholarly journals Chatbot to improve learning punctuation in Spanish and to enhance open and flexible learning environments

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Esteban Vázquez-Cano ◽  
Santiago Mengual-Andrés ◽  
Eloy López-Meneses
Keyword(s):  
Learning Process ◽  
Latent Dirichlet Allocation ◽  
Distance Matrix ◽  
Ease Of Use ◽  
Three Dimensions ◽  
Pairwise Distance ◽  
Control Group ◽  
Quantitative Methodology ◽  
Quasi Experimental ◽  
Experimental Group

AbstractThe objective of this article is to analyze the didactic functionality of a chatbot to improve the results of the students of the National University of Distance Education (UNED / Spain) in accessing the university in the subject of Spanish Language. For this, a quasi-experimental experiment was designed, and a quantitative methodology was used through pretest and posttest in a control and experimental group in which the effectiveness of two teaching models was compared, one more traditional based on exercises written on paper and another based on interaction with a chatbot. Subsequently, the perception of the experimental group in an academic forum about the educational use of the chatbot was analyzed through text mining with tests of Latent Dirichlet Allocation (LDA), pairwise distance matrix and bigrams. The quantitative results showed that the students in the experimental group substantially improved the results compared to the students with a more traditional methodology (experimental group / mean: 32.1346 / control group / mean: 28.4706). Punctuation correctness has been improved mainly in the usage of comma, colon and periods in different syntactic patterns. Furthermore, the perception of the students in the experimental group showed that they positively value chatbots in their teaching–learning process in three dimensions: greater “support” and companionship in the learning process, as they perceive greater interactivity due to their conversational nature; greater “feedback” and interaction compared to the more traditional methodology and, lastly, they especially value the ease of use and the possibility of interacting and learning anywhere and anytime.

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