112 research outputs found
Discussion of ‘‘Re-Examination of Undrained Strength at Atterberg Limits Water Contents’’ by H.B. Nagaraj, A. Sridharan & H.M. Mallikarjuna
No full textHaving recently investigated soil strength at the Atterberg limits, the discussers read the paper by Nagaraj et al. (2012) with interest. Whilst some of the conclusions of the paper concur with those of our own work, there are other areas in which we would question the authors’ conclusions
Deep author name disambiguation using DBLP data
No full text431441In the academic world, the number of scientists grows every year and so does the number of authors sharing the same names. Consequently, it is challenging to assign newly published papers to their respective authors. Therefore, author name ambiguity is considered a critical open problem in digital libraries. This paper proposes an author name disambiguation approach that links author names to their real-world entities by leveraging their co-authors and domain of research. To this end, we use data collected from the DBLP repository that contains more than 5 million bibliographic records authored by around 2.6 million co-authors. Our approach first groups authors who share the same last names and same first name initials. The author within each group is identified by capturing the relation with his/her co-authors and area of research, represented by the titles of the validated publications of the corresponding author. To this end, we train a neural network model that learns from the representations of the co-authors and titles. We validated the effectiveness of our approach by conducting extensive experiments on a large dataset.25
Iterating with crowd
No full textThis thesis studies how novice designers iterate on their designs using the feedback received from a popular online forum Reddit. The goal was to understand the potential of online forums to serve the need for external feedback during the design process. The thesis also strives to understand the feedback and what motivated iterations. This could potentially aid development of rubrics for receiving design feedback using online forums.
This thesis also looks at the difference in perceived quality of designs between iterations and if the perceived quality improves. Domain experts were asked to judge (blind to condition) which iteration more effectively satisfied the design goals originally stated by the designer. The goal is to understand if the evolution of a design better satisfies the design goals due to the feedback received online.
Sentiment analysis was performed to test if certain qualities of feedback potentially trigger iterations on a design. Additionally, the thesis studied how much of the feedback received on the designs through Reddit was used to make design changes. The other aspect is to understand if the degree of transformation between designs correlates to the number of perceived differences.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01The student, Dharthi Nagaraj Kashyap, accepted the attached license on 2016-04-25 at 21:05.The student, Dharthi Nagaraj Kashyap, submitted this Thesis for approval on 2016-04-25 at 21:06.This Thesis was approved for publication on 2016-04-26 at 13:29.DSpace SAF Submission Ingestion Package generated from Vireo submission #9492 on 2016-07-07 at 13:50:52Made available in DSpace on 2016-07-07T20:35:16Z (GMT). No. of bitstreams: 2
NAGARAJKASHYAP-THESIS-2016.pdf: 1238286 bytes, checksum: 952cc957a766a898eda7b984883202aa (MD5)
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Previous issue date: 2016-04-26Embargo set by: Seth Robbins for item 93183
Lift date: 2018-07-07T20:35:34Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 93183 on 2018-07-08T09:15:30Z
Whois? Deep Author Name Disambiguation Using Bibliographic Data
No full text201215As the number of authors is increasing exponentially over years, the number of authors sharing the same names is increasing proportionally. This makes it challenging to assign newly published papers to their adequate authors. Therefore, Author Name Ambiguity (ANA) is considered a critical open problem in digital libraries. This paper proposes an Author Name Disambiguation (AND) approach that links author names to their real-world entities by leveraging their co-authors and domain of research. To this end, we use a collection from the DBLP repository that contains more than 5 million bibliographic records authored by around 2.6 million co-authors. Our approach first groups authors who share the same last names and same first name initials. The author within each group is identified by capturing the relation with his/her co-authors and area of research, which is represented by the titles of the validated publications of the corresponding author. To this end, we train a neural network model that learns from the representations of the co-authors and titles. We validated the effectiveness of our approach by conducting extensive experiments on a large dataset
Whois? Deep Author Name Disambiguation using Bibliographic Data
No full textAs the number of authors is increasing exponentially over years, the number
of authors sharing the same names is increasing proportionally. This makes it
challenging to assign newly published papers to their adequate authors.
Therefore, Author Name Ambiguity (ANA) is considered a critical open problem in
digital libraries. This paper proposes an Author Name Disambiguation (AND)
approach that links author names to their real-world entities by leveraging
their co-authors and domain of research. To this end, we use a collection from
the DBLP repository that contains more than 5 million bibliographic records
authored by around 2.6 million co-authors. Our approach first groups authors
who share the same last names and same first name initials. The author within
each group is identified by capturing the relation with his/her co-authors and
area of research, which is represented by the titles of the validated
publications of the corresponding author. To this end, we train a neural
network model that learns from the representations of the co-authors and
titles. We validated the effectiveness of our approach by conducting extensive
experiments on a large dataset.Comment: Accepted for publication @ TPDL202
A new type of quaternionic frame in R-4
No full textWOS: 000473348100017In this paper, we obtain a new version of Serret-Frenet formulae for quaternionic curve in R-4 by using a method similar to the method given by Bharathi and Nagaraj and called it Type 2-Quaternionic Frame. Also, we give an application of this new type of the quaternionic frame by an example.Ahi Evran University Scientific Research Projects Coordination UnitAhi Evran University [EGT.A4.18.031]The author is supported by Ahi Evran University Scientific Research Projects Coordination Unit. Project Number: EGT.A4.18.031
IS DEXMEDETOMIDINE A POOR SURROGATE TO PROPOFOL FOR PROCEDURAL SEDATION DURING ENDOSCOPIC RETROGRADE CHOLANGIO-PANCREATOGRAPHY (ERCP)
No full textBreaking Symmetries: Universal Behaviour of Asymmetric Particles in Confined Stokes Flow
No full textThe recent advancements in lab-on-a-chip technologies has led to numerous studies on the collective dynamics of micro-particles suspended in a microfluidic channel. The role of hydrodynamics in “self-steering” of the particles in a low Reynolds flows is explicitly dependent only on the particle’s exterior geometry. Thus richer responses can be achieved by controlling the transport and orientation of asymmetric particles under external flow. In this work, we study the universal behaviour of particles with any arbitrary shape, strongly confined along direction involving height. The particle both translates and rotates in-plane, until a stable orientation is reached, after which it drifts cross-stream. By combining analytical, numerical and experimental techniques, we establish the generalised equations of motion for a particle sufficiently far away from the channel walls along width. Thus, the total motion of a particle is characterized by estimating only a few timescales, intrinsic to its exterior geometry. We discuss the shape properties defining the dynamics, and use them to derive an analytical framework. The results are then validated against the numerical solution utilizing an improved 2-Dimnesional Brinkman formulation for highly confined particles. Experiments are performed using stop-flow lithography, where the dynamics of the photo-polymerized particles are observed by driving it out of equilibrium using an externally imposed pressure difference. We confirm the universal behaviour of the particles, except for a few cases, only when close to the stable orientation. Our experimentally observed rotational timescales consistently match the numerically computed values when multiplied by a factor of 1.8.Mechanical Engineerin
Exploring laser-induced cavitation for primary nucleation control: An experimental study
No full textCrystallization is one of the most sought after separation and purification technique in the process industries. However, the fundamental understanding on the formation of crystals poses quite a challenge due to the inherent complexity and stochasticity associated with the process. In the past, several attempts put forth to control crystal nucleation have been anything but successful. But, more recently, the use of lasers to control primary nucleation have led to promising prospects.In the current study, efforts were made to explore the phenomena behind Non-Photochemical Laser Induced Nucleation (NPLIN). Experiments were carried out starting with a confined microfluidic system for both supersaturated aqueous potassium permanganate and potassium chloride solutions and later extended to unconfined geometry with potassium chloride solutions. A single nanosecond laser pulse of 532 nm wavelength was employed to create vapour bubbles and the resulting crystal formation was quantified.To begin with, a quadratic relationship between the laser energy supplied and the maximum radius of the bubble formed was observed. By systematically varying both the supplied laser energy and the solution supersaturation, the probability of crystal formation for various energy–supersaturation combinations were studied. A minimum laser energy threshold for crystal formation was observed to be a function of solution supersaturation. The results obtained in this study will aid in developing a numerical model that can apriori predict the minimum necessary laser and supersaturation conditions required for any given salt to undergo NPLIN.Mechanical Engineering | Energy, Flow and Process Technolog
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