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    Edificiul ca ornament: observaţii iconografice asupra nimfeului severan din Sarmizegetusa

    Marinescu-Ivan, Cristian Peter
    Buletinul Cercurilor Științifice Studențești, 2017, Vol.23(1), pp.55-73 [Peer Reviewed Journal]
    Central and Eastern European Online Library (C.E.E.O.L.)
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    Title: Edificiul ca ornament: observaţii iconografice asupra nimfeului severan din Sarmizegetusa
    Author: Marinescu-Ivan, Cristian Peter
    Subject: History ; Ulpia Traiana Sarmizegetusa ; Nymphaeum ; Roman Fountains ; Iconography
    Description: This article aims to analyze the fountains discovered at Ulpia Traiana Sarmizegetusa in the broader context of the historiography of monumental wells of the Roman Empire. It deals systematically with the emplacement of this type of monuments in Roman cities using examples from various parts of the Roman Empire, then it presents the types of fountains and their decorations. Next, the analysis is stressing the situation of the public fountains from Sarmizegetusa built during the 2nd century AD by Lucius Ophonius Priscus. Several archaeological observations by Alexandru Diaconescu, Ioan Piso, Gică Băeștean, conjugated with sculptural details are compared with observations made by Croatian, Hungarian, and Bulgarian archaeologists in regard to other similar fountains from northern Balkans and Hungary. As the information concerning the fountains of Sarmizegetusa seems fairly abundant, it is possible to pursue a project of restoration, since both the emplacement and the building materials...
    Is part of: Buletinul Cercurilor Științifice Studențești, 2017, Vol.23(1), pp.55-73
    Identifier: 1454-8097 (ISSN)

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    Open charm analysis with the ALICE detector in pp collisions at LHC

    Ivan, Cristian
    arXiv.org, May 26, 2010
    © ProQuest LLC All rights reserved, Engineering Database, Publicly Available Content Database, ProQuest Engineering Collection, ProQuest Technology Collection, ProQuest SciTech Collection, Materials Science & Engineering Database, ProQuest Central (new), ProQuest Central Korea, SciTech Premium Collection, Technology Collection, ProQuest Central Essentials, ProQuest One Academic, Engineering Collection (ProQuest)
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    Title: Open charm analysis with the ALICE detector in pp collisions at LHC
    Author: Ivan, Cristian
    Contributor: Ivan, Cristian (pacrepositoryorg)
    Subject: Efficiency ; Kaons ; Charm (Particle Physics) ; Decay ; Quantum Chromodynamics ; Accident Reconstruction ; Pions ; Tracking Systems ; Efficiency ; Large Hadron Collider ; Flavor (Particle Physics) ; Mesons ; Contamination ; Ionic Collisions
    Description: The ALICE experiment, at the Large Hadron Collider located at CERN, is designed to investigate the physics of strongly interacting matter at very high energy densities. We present an analysis strategy of reconstructing open charm mesons with ALICE via the hadronic decay of D0 and D* mesons. Heavy flavours, produced at the The Large Hadron Collider, are excellent tools to investigate the properties of the QCD medium produced in heavy-ion collisions. Baseline measurements of heavy flavour production mechanisms in pp collisions are necessary in order to understand the production in the medium as well as medium induced effects. The study shows that for one year of data taking we will be able to measure charmed mesons with very large significances (78 for D0 and 33 for D?). Both yields allow a measurement in one month of data taking (about 100 million events) with a D? significance of 10. The reconstruction of the charged mesons is more difficult than for the neutral mesons due to kinematic...
    Is part of: arXiv.org, May 26, 2010
    Identifier: 2331-8422 (E-ISSN)

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    History, Archaeology and the Bible Forty Years after „Historicity‟, Part I - Changing Perspectives in Biblical Studies, Vol. VI of Changing Perspectives, a Copenhagen International Seminar series

    Marinescu-Ivan, Cristian Peter
    Revista CICSA online, Serie Nouă, 2016, Issue II, pp.138-140
    Central and Eastern European Online Library (C.E.E.O.L.)
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    Title: History, Archaeology and the Bible Forty Years after „Historicity‟, Part I - Changing Perspectives in Biblical Studies, Vol. VI of Changing Perspectives, a Copenhagen International Seminar series
    Author: Marinescu-Ivan, Cristian Peter
    Subject: Ancient World
    Is part of: Revista CICSA online, Serie Nouă, 2016, Issue II, pp.138-140
    Identifier: 2457-3809 (ISSN)

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    Open charm analysis with the ALICE detector in pp collisions at LHC

    Ivan, Cristian George
    Cornell University
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    Title: Open charm analysis with the ALICE detector in pp collisions at LHC
    Author: Ivan, Cristian George
    Subject: High Energy Physics - Experiment
    Description: The ALICE experiment, at the Large Hadron Collider located at CERN, is designed to investigate the physics of strongly interacting matter at very high energy densities. We present an analysis strategy of reconstructing open charm mesons with ALICE via the hadronic decay of D0 and D* mesons. Heavy flavours, produced at the The Large Hadron Collider, are excellent tools to investigate the properties of the QCD medium produced in heavy-ion collisions. Baseline measurements of heavy flavour production mechanisms in pp collisions are necessary in order to understand the production in the medium as well as medium induced effects. The study shows that for one year of data taking we will be able to measure charmed mesons with very large significances (78 for D0 and 33 for D?). Both yields allow a measurement in one month of data taking (about 100 million events) with a D? significance of 10. The reconstruction of the charged mesons is more difficult than for the neutral mesons due to kinematic constraints on the soft pion in case of the D* decay. Most of these pions have momenta lower than 0.4 GeV/c which makes them difficult to detect and therefore the reconstruction efficiency is very low. However, by using the ALICE Inner Tracking System as a standalone detector, the reconstruction efficiencies for kaons and pions at very low momenta are improved. Due to selection criteria imposed on the tracks the overall efficiency increase for the D* with the ITS-standalone procedure is reported to be 7%. Note that after applying the cuts on the D mesons, the contamination with D0 from beauty decays becomes slightly larger (10%). For analyses where high efficiency is preferred over high purity, the cuts on the D* and D0 can be loosened in order to have as many particles as possible. In this case, a review of the contamination from B decays is needed.
    Identifier: 1005.4954 (ARXIV ID)

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    Modeling and numerical simulation of the Richards equation for infiltration problems

    Iván Cristian Naula Reina, Guillermo Alexis Albuja Proaño, René Alfonso Carrillo Flores, Carlos Fabián Izurieta Cabrera
    Enfoque UTE : revista científica, 01 March 2016, Vol.7(1), pp.46-58
    Directory of Open Access Journals (DOAJ)
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    Title: Modeling and numerical simulation of the Richards equation for infiltration problems
    Author: Iván Cristian Naula Reina; Guillermo Alexis Albuja Proaño; René Alfonso Carrillo Flores; Carlos Fabián Izurieta Cabrera
    Subject: Infiltration ; Richards Equation ; Mathematical Model ; Finite Elements ; Sciences (General)
    Description: One of the most important natural resources we have is the soil and it is of great interest to the society to take care of them and not to pollute it. In the study of this issue, we are going to consider one of the most common forms of soil contamination due to an infiltration process. It is therefore that it is essential to address study and clearly understand this process by developing a mathematician model, which will be a representation of this physicist phenomenon. Then design and implement a computer program that simulates the infiltration of liquid pollutants in a given area. In this paper we will develop a mathematical model for two-dimensional infiltration in the saturated zone of porous media, based on the equation in nonlinear partial differential Richards Also, It will present a numerical solution through finite element method and first order This paper shows the computational implementation using a simulator that presents graphically the process of pollution afflicting...
    Is part of: Enfoque UTE : revista científica, 01 March 2016, Vol.7(1), pp.46-58
    Identifier: 1390-6542 (ISSN); 1390-6542 (E-ISSN)

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    Convolutional Neural Networks on Randomized Data

    Ivan, Cristian
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1-8. 2019
    Cornell University
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    Title: Convolutional Neural Networks on Randomized Data
    Author: Ivan, Cristian
    Subject: Computer Science - Computer Vision And Pattern Recognition
    Description: Convolutional Neural Networks (CNNs) are build specifically for computer vision tasks for which it is known that the input data is a hierarchical structure based on locally correlated elements. The question that naturally arises is what happens with the performance of CNNs if one of the basic properties of the data is removed, e.g. what happens if the image pixels are randomly permuted? Intuitively one expects that the convolutional network performs poorly in these circumstances in contrast to a multilayer perceptron (MLPs) whose classification accuracy should not be affected by the pixel randomization. This work shows that by randomizing image pixels the hierarchical structure of the data is destroyed and long range correlations are introduced which standard CNNs are not able to capture. We show that their classification accuracy is heavily dependent on the class similarities as well as the pixel randomization process. We also indicate that dilated convolutions are able to recover some of the pixel correlations and improve the performance. Comment: 8 pages, 17 figures, presented at Deep-Vision workshop, CVPR 2019
    Is part of: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1-8. 2019
    Identifier: 1907.10935 (ARXIV ID)

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    Simulation of integrated photonic gates

    Ivan, Cristian, Ionicioiu, Radu
    arXiv.org, Jun 7, 2020
    © ProQuest LLC All rights reserved, Engineering Database, Publicly Available Content Database, ProQuest Engineering Collection, ProQuest Technology Collection, ProQuest SciTech Collection, Materials Science & Engineering Database, ProQuest Central (new), ProQuest Central Korea, SciTech Premium Collection, Technology Collection, ProQuest Central Essentials, ProQuest One Academic, Engineering Collection (ProQuest)
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    Title: Simulation of integrated photonic gates
    Author: Ivan, Cristian; Ionicioiu, Radu
    Contributor: Ionicioiu, Radu (pacrepositoryorg)
    Subject: Design ; Devices ; Algorithms ; Quantum Computing ; Photonics ; Subroutines ; Microprocessors ; Room Temperature ; Computer Simulation
    Description: Quantum technologies, such as quantum communication, sensing and imaging, need a platform which is flexible, miniaturizable and works at room temperature. Integrated photonics is a promising and fast-developing platform. This requires to develop the right tools to design and fabricate arbitrary photonic quantum devices. Here we present an algorithm which, starting from a \(n\)-mode transformation \(U\), designs a photonic device implementing \(U\). Using this method we design integrated photonic devices which implement quantum gates with high fidelity. Apart from quantum computation, future applications include the design of photonic subroutines or embedded quantum devices. These custom-designed photonic devices will implement in a single step a given algorithm and will be small, robust and fast compared to a fully-programmable processor.
    Is part of: arXiv.org, Jun 7, 2020
    Identifier: 2331-8422 (E-ISSN)

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    On modelling the emergence of logical thinking

    Ivan, Cristian, Indurkhya, Bipin
    Cornell University
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    Title: On modelling the emergence of logical thinking
    Author: Ivan, Cristian; Indurkhya, Bipin
    Subject: Computer Science - Artificial Intelligence ; Computer Science - General Literature
    Description: Recent progress in machine learning techniques have revived interest in building artificial general intelligence using these particular tools. There has been a tremendous success in applying them for narrow intellectual tasks such as pattern recognition, natural language processing and playing Go. The latter application vastly outperforms the strongest human player in recent years. However, these tasks are formalized by people in such ways that it has become "easy" for automated recipes to find better solutions than humans do. In the sense of John Searle's Chinese Room Argument, the computer playing Go does not actually understand anything from the game. Thinking like a human mind requires to go beyond the curve fitting paradigm of current systems. There is a fundamental limit to what they can achieve currently as only very specific problem formalization can increase their performances in particular tasks. In this paper, we argue than one of the most important aspects of the human mind is its capacity for logical thinking, which gives rise to many intellectual expressions that differentiate us from animal brains. We propose to model the emergence of logical thinking based on Piaget's theory of cognitive development.
    Identifier: 1905.09730 (ARXIV ID)

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    Title: Training highly effective connectivities within neural networks with randomly initialized, fixed weights
    Author: Ivan, Cristian; Florian, Razvan
    Subject: Computer Science - Machine Learning ; Computer Science - Neural And Evolutionary Computing ; Statistics - Machine Learning
    Description: We present some novel, straightforward methods for training the connection graph of a randomly initialized neural network without training the weights. These methods do not use hyperparameters defining cutoff thresholds and therefore remove the need for iteratively searching optimal values of such hyperparameters. We can achieve similar or higher performances than in the case of training all weights, with a similar computational cost as for standard training techniques. Besides switching connections on and off, we introduce a novel way of training a network by flipping the signs of the weights. If we try to minimize the number of changed connections, by changing less than 10% of the total it is already possible to reach more than 90% of the accuracy achieved by standard training. We obtain good results even with weights of constant magnitude or even when weights are drawn from highly asymmetric distributions. These results shed light on the over-parameterization of neural networks and... Comment: 14 pages, 13 figures
    Identifier: 2006.16627 (ARXIV ID)

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    Simulation of integrated photonic gates

    Dragomir, Andrei-Emanuel, Ivan, Cristian George, Ionicioiu, Radu
    Cornell University
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    Title: Simulation of integrated photonic gates
    Author: Dragomir, Andrei-Emanuel; Ivan, Cristian George; Ionicioiu, Radu
    Subject: Quantum Physics
    Description: Quantum technologies, such as quantum communication, sensing and imaging, need a platform which is flexible, miniaturizable and works at room temperature. Integrated photonics is a promising and fast-developing platform. This requires to develop the right tools to design and fabricate arbitrary photonic quantum devices. Here we present an algorithm which, starting from a $n$-mode transformation $U$, designs a photonic device implementing $U$. Using this method we design integrated photonic devices which implement quantum gates with high fidelity. Apart from quantum computation, future applications include the design of photonic subroutines or embedded quantum devices. These custom-designed photonic devices will implement in a single step a given algorithm and will be small, robust and fast compared to a fully-programmable processor.
    Identifier: 2006.02946 (ARXIV ID)