Search results for "LMA"
showing 10 items of 3320 documents
An inverse problem for the fractional Schrödinger equation in a magnetic field
2020
This paper shows global uniqueness in an inverse problem for a fractional magnetic Schrödinger equation (FMSE): an unknown electromagnetic field in a bounded domain is uniquely determined up to a natural gauge by infinitely many measurements of solutions taken in arbitrary open subsets of the exterior. The proof is based on Alessandrini's identity and the Runge approximation property, thus generalizing some previous works on the fractional Laplacian. Moreover, we show with a simple model that the FMSE relates to a long jump random walk with weights. peerReviewed
Collective Intentionality, Methodological Solipsism, and Current Neurosciences.
2008
L’intervento analizza la teoria searleana dell’intenzionalità collettiva e la sua pretesa di superamento della dicotomia tra approcci individualisti (riduzionisti) e collettivisti all’intenzionalità collettiva considerandone la plausibilità alla luce della recente scoperta dei mirror neurons (interpretata alla luce delle teorie di Gallese e Rizzolatti) e della più generale concezione della mente come sistema autonomo modulato dall’ambiente quale emerge dalle teorie di Edelman e Llinàs.
Ierobežojuma nēsāt seju aizsedzošu apģērbu tiesiskais regulējums
2016
Bakalaura darba tēma ir “Ierobežojuma nēsāt seju aizsedzošu apģērbu tiesiskais regulējums”. Šāds regulējums var aizskart personas tiesības uz reliģiskās pārliecības brīvību, jo galvassegu valkāšana ir viens no reliģiskās pārliecības izpausmes veidiem, īpaši islāma ticīgām sievietēm. Tā kā ierobežojums var tikt noteikts arī Latvijas normatīvajos aktos, ir nepieciešams izvērtēt tā ieviešanas nepieciešamību. Darba mērķis ir analizēt iespējamos iemeslus ierobežojuma nepieciešamībai. Darbā autore aplūko reliģijas brīvības principu, kā arī sniedz nelielu ieskatu musulmaņu galvassegu veidos. Īpaša uzmanība tiek pievērsta iespējamo ierobežojuma ieviešanas pamatu analīzei, kā arī tiek aplūkoti atsev…
Peter Senge puolustaa luontoa ja luonnollista oppimista
2002
Peter Senge on eniten siteerattuja kirjoittajia, kun puhutaan oppivista organisaatioista. Hänen tunnetuin kirjansa The Fifth Discipline ilmestyi Yhdysvalloissa vuonna 1990 ja sai miltei kulttikirjan maineen. Sengeä pidetään ihmisenä, joka tietää hyvin paljon oppivan organisaation kysymyksistä, hän on jotakin tällä alueella. Ennakkokuva vahvasta osaajasta oli vankkumaton lupautuessani haastattelemaan Sengeä. Tapaaminen muutti ennakkokäsityksiäni ja -odotuksiani.
Relative Vessel Motion Tracking using Sensor Fusion, Aruco Markers, and MRU Sensors
2017
This paper presents a novel approach for estimating the relative motion between two moving offshore vessels. The method is based on a sensor fusion algorithm including a vision system and two motion reference units (MRUs). The vision system makes use of the open-source computer vision library OpenCV and a cube with Aruco markers placed onto each of the cube sides. The Extended Quaternion Kalman Filter (EQKF) is used for bad pose rejection for the vision system. The presented sensor fusion algorithm is based on the Indirect Feedforward Kalman Filter for error estimation. The system is self-calibrating in the sense that the Aruco cube can be placed in an arbitrary location on the secondary ve…
Sequence Q-learning: A memory-based method towards solving POMDP
2015
Partially observable Markov decision process (POMDP) models a control problem, where states are only partially observable by an agent. The two main approaches to solve such tasks are these of value function and direct search in policy space. This paper introduces the Sequence Q-learning method which extends the well known Q-learning algorithm towards the ability to solve POMDPs through adding a special sequence management framework by advancing from action values to “sequence” values and including the “sequence continuity principle”.
Further Developments and Tests of a Progressive Algorithm for Multiple Criteria Decision Making
1993
P. Korhonen, H. Moskowitz, and J. Wallenius (1986) developed a progressive algorithm and the supporting theory for modeling and solving multiple criteria decision problems with discrete alternatives. A special feature of the algorithm is that it relaxes the usual assumption of a fixed set of available decision alternatives and complete knowledge of a decision maker's (DM's) preference structure or value function. The algorithm is based on progressively sampling the decision space, obtaining preference information from the DM, determining the likelihood of finding possibly/surely better alternatives, and based on this information, continuing the search or terminating it by making the final …