1,720,988 research outputs found
Development of self-adaptaning virtual machines to improve learning outcomes in heterogeneous computing enviroment
No full textSavremeno izvođenje nastavnih procesa u okviru visokoškolskog obrazovanja oslanja se
na upotrebu principa učenja od kuće koji, pored prednosti, ispoljavaju i neke
nedostatke. Jedan od uočenih nedostataka jeste heterogenost računarskog okruženja, kao
rezultat upotrebe ličnih računarskih resursa studenata budući da ti računarski
resursi međusobno ispoljavaju veliku raznolikost.
Način prevazilaženja nastale heterogenosti jeste prevođenje u homogeni oblik
upotrebom virtuelnih mašina. Ovakvim pristupom vrši se približavanje postizanju
uniformnosti nastavnog procesa posmatrano sa stanovišta upotrebe računarske
tehnike. Virtuelizacija unosi novu kompleksnost jer se sve aktivnosti virtuelizacije
sprovode od strane studenata i nastavnog osoblja. To podrazumeva da će se akteri
nastavnog procesa privremeno udaljiti od primarnih ciljeva vezanih za postizanje
pozitivnih ishoda učenja. Potrebno je razviti mehanizme koji će omogućiti
automatizaciju procesa vezanih za primenu virtuelne mašine u nastavnom procesu u
cilju svođenja učešća aktera nastavnog procesa u virtuelizaciji na prihvatljiv
minimum.
Ovo je postignuto razvojem samoadaptirajuće virtuelne mašine koja, u odnosu na
klasičnu virtuelnu mašinu, poseduje adaptivna svojstva u hardverskom i softverskom
smislu. Adaptivnost u hardverskom smislu ogleda se u automatskom prilagođavanju
trenutnim uslovima okruženja u kome virtuelna mašina ostvaruje rad, analizom
parametara okruženja, statističkom obradom istih i predikcijom budućih stanja, čime
se definišu parametri rada virtuelne mašine. U softverskom smislu, adaptivnost se
postiže korišćenjem principa ontološkog inženjerstva čime se svi instalacioni
procesi u okviru virtuelne mašine obavljaju bez direktnog učešća korisnika.
Sve funkcionalnosti realizovanog rešenja potvrđene su odgovarajućim testiranjima.The modern implementation of teaching processes within higher education relies on the use of
the principles of learning from home, which have some disadvantages. One of the observed
disadvantages is the heterogeneity of the computer environment, as a result of the use of
personal computer resources of students, since these computer resources exhibit great diversity
among themselves.
The way to overcome the resulting heterogeneity is to translate it into a homogeneous form
using virtual machines. Virtualization introduces new complexity because all virtualization
activities are performed by students and teaching personnel. This means that the actors of the
teaching process will temporarily move away from the primary goals related to achieving
positive learning outcomes. It is necessary to develop mechanisms that will enable the
automation of processes related to the application of a virtual machine in the teaching process
in order to reduce the participation of actors of the teaching process in virtualization to an
acceptable minimum.
This was achieved by developing a self-adaptive virtual machine that, compared to a classic
virtual machine, has hardware and software adaptive properties. Hardware adaptability is
reflected in automatic adaptation to the current conditions of the environment in which the
virtual machine works, by analyzing the parameters of the environment, statistical processing
of them and prediction of future states, which defines the operating parameters of the virtual
machine. Software adaptability is achieved by using the principles of ontological engineering,
whereby all installation processes within the virtual machine are performed without direct user
participation.
All functionalities of the implemented solution were confirmed by appropriate tests
Development of self-adaptaning virtual machines to improve learning outcomes in heterogeneous computing enviroment
No full textSavremeno izvođenje nastavnih procesa u okviru visokoškolskog obrazovanja oslanja se
na upotrebu principa učenja od kuće koji, pored prednosti, ispoljavaju i neke
nedostatke. Jedan od uočenih nedostataka jeste heterogenost računarskog okruženja, kao
rezultat upotrebe ličnih računarskih resursa studenata budući da ti računarski
resursi međusobno ispoljavaju veliku raznolikost.
Način prevazilaženja nastale heterogenosti jeste prevođenje u homogeni oblik
upotrebom virtuelnih mašina. Ovakvim pristupom vrši se približavanje postizanju
uniformnosti nastavnog procesa posmatrano sa stanovišta upotrebe računarske
tehnike. Virtuelizacija unosi novu kompleksnost jer se sve aktivnosti virtuelizacije
sprovode od strane studenata i nastavnog osoblja. To podrazumeva da će se akteri
nastavnog procesa privremeno udaljiti od primarnih ciljeva vezanih za postizanje
pozitivnih ishoda učenja. Potrebno je razviti mehanizme koji će omogućiti
automatizaciju procesa vezanih za primenu virtuelne mašine u nastavnom procesu u
cilju svođenja učešća aktera nastavnog procesa u virtuelizaciji na prihvatljiv
minimum.
Ovo je postignuto razvojem samoadaptirajuće virtuelne mašine koja, u odnosu na
klasičnu virtuelnu mašinu, poseduje adaptivna svojstva u hardverskom i softverskom
smislu. Adaptivnost u hardverskom smislu ogleda se u automatskom prilagođavanju
trenutnim uslovima okruženja u kome virtuelna mašina ostvaruje rad, analizom
parametara okruženja, statističkom obradom istih i predikcijom budućih stanja, čime
se definišu parametri rada virtuelne mašine. U softverskom smislu, adaptivnost se
postiže korišćenjem principa ontološkog inženjerstva čime se svi instalacioni
procesi u okviru virtuelne mašine obavljaju bez direktnog učešća korisnika.
Sve funkcionalnosti realizovanog rešenja potvrđene su odgovarajućim testiranjima.The modern implementation of teaching processes within higher education relies on the use of
the principles of learning from home, which have some disadvantages. One of the observed
disadvantages is the heterogeneity of the computer environment, as a result of the use of
personal computer resources of students, since these computer resources exhibit great diversity
among themselves.
The way to overcome the resulting heterogeneity is to translate it into a homogeneous form
using virtual machines. Virtualization introduces new complexity because all virtualization
activities are performed by students and teaching personnel. This means that the actors of the
teaching process will temporarily move away from the primary goals related to achieving
positive learning outcomes. It is necessary to develop mechanisms that will enable the
automation of processes related to the application of a virtual machine in the teaching process
in order to reduce the participation of actors of the teaching process in virtualization to an
acceptable minimum.
This was achieved by developing a self-adaptive virtual machine that, compared to a classic
virtual machine, has hardware and software adaptive properties. Hardware adaptability is
reflected in automatic adaptation to the current conditions of the environment in which the
virtual machine works, by analyzing the parameters of the environment, statistical processing
of them and prediction of future states, which defines the operating parameters of the virtual
machine. Software adaptability is achieved by using the principles of ontological engineering,
whereby all installation processes within the virtual machine are performed without direct user
participation.
All functionalities of the implemented solution were confirmed by appropriate tests
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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