1,720,957 research outputs found
Intrusion Detection System Using Machine Learning Models
Get PDFME, CSEDThe anomaly Intrusion Detection is one of the major research issues now a days. The
advancement in networks has indeed increased the need of designing and executing a
more reliable and more accurate network security systems. For this purpose, intrusion
detection systems (IDS) are used to monitor the threats encountered on the network, by
detecting any change in the normal profile. The idea here is, to use classification
algorithms for analyzing KDD’99 datasets, with 41 Attributes (features). Based on
these 41 attributes, the KDD’99 Datasets has been classified into five different types of
attacks, i.e. normal, Probe, U2R, R2L and DOS. The algorithms used in this paper are
support vector machine (SVM) and Random Forest (RF). Apart from using Random
Forest for classification, it is also used in feature extraction. These algorithms are used
to classify the data among various classes. The simulation results demonstrated that the
support vector machine out performs as compared with Random Forest as an anomaly
intrusion detection system with high accuracy. The validation of snort rule’s dataset,
generated by the given attacks, has been performed using support vector machine. The
experimentation results have higher accuracy, for the validation of the KDD’99 data set
used in the training
Directed Assembly and Manipulation of Anisotropic Colloidal Particles by External Fields
No full textThe application of external fields to anisotropic particles can be an efficient means of programmed assembly of novel materials and is a rapidly expanding research field. We report a series of studies on the assembly and manipulation of surface patterned anisotropic colloidal particles (whose surfaces are physically or chemically different) by external alternating current (AC) electric and magnetic fields. The fundamental results include the first experimental observation of induced-charge electrophoretic (ICEP) motion of asymmetric metallodielectric microspheres and the formation of novel assembled structures of these particles by dielectrophoresis (particle interaction with external AC electric ﬠeld gradients) and by magnetophoresis (migration and interaction of particles in an inhomogeneous magnetic field). The experimental and modeling techniques developed and fundamental principles uncovered could be used to engineer the processes of directed and/or programmed assembly of other types of anisotropic particles.
“Janus†particles were prepared by coating dielectric, polystyrene latex microspheres with a conductive metal layer on one hemisphere. The phase space for AC electric field intensity and frequency was explored for these particles on a glass surface between two electrodes. A rich variety of metallodielectric structures and dynamics were uncovered, which are very different from those obtained from directed dielectrophoretic assembly of plain dielectric or plain conductive particles. The application of low frequency AC ﬠelds to aqueous suspensions of the Janus particles leads to unbalanced liquid flows around each half of the particle causing nonlinear, ICEP particle motion (perpendicular to the ﬠeld direction). Above 10 kHz field frequency, the metallodielectric particles assemble into new types of chain structures, where the metallized halves of neighboring particles align into lanes along the ﬠeld direction. These staggered chains were confined together to form two-dimensional metallodielectric crystals. The experimental results of the orientation of Janus particles in the electric field and the formation of staggered chains were interpreted by means of numerical simulations of the electric energy of the system. The assembly of Janus metallodielectric particles may ﬠnd applications in liquid-borne microcircuits and materials with directional electric and heat transfer. The electrokinetic motion of the particles may ﬠnd applications in microactuators and microfluidic devices.
The assembly of magnetic Janus colloids (having 50% surface coating of iron on polystyrene microspheres) under the combined (and sometimes competing) dielectrophoretic and magnetophoretic forces was investigated. The structures formed by magnetic fields have the advantage that the particle interactions are bistable. They can result in permanent structures, which could be disassembled on demand by remote demagnetization and then reassembled into new stable structures, thus recycling the building blocks. The assembly of magnetic anisotropic particles may find numerous potential applications, among which are bifunctional drug delivery agents and novel flexible displays.
We found that even more unusual types of new structures are formed when high frequency (> 50 kHz) AC electric fields are applied to suspensions of “patchy†particles. The microspheres, produced by glancing angle metal deposition, have either a single patch that is less than 50% of the total latex particle surface or two metallic patches on each pole of the particle. These patchy particles assemble in electric fields by interacting with each other in two or more directions, pre-programmed by the patch size and orientation. The multi-directional chains were confined together to form a percolated network of particles and lattices of unusual symmetry. Simulation results indicate that the assembly pattern of these particles into multi-directional chains is guided by quadrupolar and multipolar interactions, which allow for the future development of new strategies for highly controlled “programmed†assembly by external fields
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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