49 research outputs found
Two-fluid Physical Modeling of Superconducting Resonators in the ARTEMIS Framework
Input files, data files and scripts to replicate results in "Two-fluid Physical Modeling of Superconducting Resonators in the ARTEMIS Framework" (Jambunathan et el.)
Please direct any questions to the corresponding author, Revathi Jambunathan (rjambunathan [at] lbl.gov)
Artemis simulations were run using the development branch of artemis https://github.com/ECP-WarpX/artemis
Some simulations in this paper were performed with different commit hashes of artemis and amrex, however, the input files should still work with the most recent development branch of artemis.
In the attached tar file, the input files, data, and scripts used to analyse simulation results shown in Figures 1, 2, 3, 4, and 6 of the paper are provided. To run the simulations on perlmutter GPUs, the code is compiled with USE_GPU=TRUE and USE_LLG=FALS
p-Pheneylendiamine functionalized rGO/Si heterostructure Schottky junction for UV photodetectors
In this work, we report on p-Phenylenediamine (PPD) functionalized reduced graphene oxide (rG0)/Si hybrid-structure designed for UV photodetector applications (PD). The hybrid-structure was characterized by using Fourier Transform-infrared spectroscopy, X-ray photoelectron spectroscopy to confirm the formation of nano-hybrid structure and the experimental results confirmed the covalent bond between rGO and PPD. The diode parameters such as barrier height, series resistance, and ideality factor were estimated for both PPD functionalized rGO (PrGO)/Si and rGO/Si heterostructure by using I-V characteristics. The time-resolved photocurrent spectroscopy used to examine the photoresponse properties of both PrGO/Si and rGO/Si samples with UV light (lambda = 382 nm). The experimental results showed that PrGO/Si exhibited significant UV photoresponse than that of rGO/Si PD. The PrGO/Si heterostructure device exhibited photoresponsivity of 1.4 x 10(-3) A/W, which is 15 times higher than rGO/Si. The high photoresponse was attributed to the synergistic effects originated from the charge transfer between PPD and rGO. The results proved that PrGO is a promising material for high response photodetector applications.
Disruptive Technology: Do Robots Want Your Job?
Keynote talk with Martin Ford, author of Rise of the Robots. Part of the “Deep Humanities,” One-Day Symposium: FrankenSTEM? Technology Ethics in Silicon Valley, organized by Dr. Revathi Krishnaswamy & Dr. Katherine D. Harris, Department of English and Comparative Literature, San Jose State University.
May 1, 2018, 7pm, The Tech Museum of Innovation, San Jose.https://scholarworks.sjsu.edu/frankenstein200_flyers/1003/thumbnail.jp
Machine Learning-Based Cache Replacement Policies: A Survey
Despite extensive developments in improving cache hit rates, designing an optimal cache replacement policy that mimics Belady’s algorithm still remains a challenging task. Existing standard static replacement policies does not adapt to the dynamic nature of memory access patterns, and the diversity of computer programs only exacerbates the problem. Several factors affect the design of a replacement policy such as hardware upgrades, memory overheads, memory access patterns, model latency, etc. The amalgamation of a fundamental concept like cache replacement with advanced machine learning algorithms provides surprising results and drives the development towards cost-effective solutions. In this paper, we review some of the machine-learning based cache replacement policies that outperformed the static heuristics
Urban Asymmetries Ciudad Juarez, Mexico: Designing A Transferium ...... A point of Exchange
The MSc. graduation project dealt with understanding the implications of Neo liberal policies on the city of Juarez which lies on the US - Mexico border. In 2009 Ciudad Juarez was rated as “the most violent zone in the world outside of declared war zones” due to high crime rates, femisides, homicides, corruption, drug trafficking and multiple other problems. The city is also presently facing massive exodus and the abandoning of large portions of its housing stock due to the increase in violence and a prevailing low intensity war between the state and the drug cartels. The reasons for this asymmetrical development are multiple and point towards a complex mesh of forces that transgress the scope of the built environment. They encompass entangled dimensions of political economy and socio-economic developments, which eventually affect the built environment. With this background a six month intense research was carried out and a counter proposal group strategy was proposed on a prototype site Riberas Del bravo and eventually an Urban & architectural intervention was designed. Thus as part of my graduation project I designed a collective transport system comprising of three design elements the Transferium hub, the bus stops and the routes on the prototype site. The core design idea dealt with developing a time based concept, that allowed hybridization of the programme and hence catered to both peak and anti-peak hour differently. Firstly a strong east west axis was developed to regulate and accentuate the flow of people along the canal & public promenade proposed as part of the group strategy. These east west axis were flanged by three pavilions serving the Transferium and Community center on the two edges and a multipurpose market space at the center. The central multipurpose market space manifested itself further as Hawking zone courtyard, Mobile Market courtyard and Permanent Market. During the peak hour the Transferium expanded into the central multipurpose space and during the anti-peak hour the community market/activities expanded into the multipurpose space. Thus depending on the flow of vehicles the central multipurpose space grew or condensed in size catering to different activities.Urban AsymmetriesDelft School of DesignArchitectur
Bacteriophage mediated toxin gene regulation in Clostridium difficle
Embargo status: Restricted to TTU community only. To view, login with your eRaider (top right). Others may request the author grant access exception by clicking on the PDF link to the left
Incorporating current research, wikis, and discussion lists in a mathematics capstone course
This article shows how current mathematical research and innovative internet technologies such as wikis and email discussion lists can enliven a senior seminar or capstone course. We give example of assignments as well as examples of how new technologies can enhance a course. This paper grew out of the author\u27s experience of teaching a senior seminar for many years at Kean University
Effectiveness of Teacher Training in Using Latest Technologies
In this chapter, the author would elaborately discuss the workshop, which she conducted for teachers (who represented various Indian states) and trained them in using the hand-held devices for teaching language skills. Further, she would throw light on the responses given by the participants, which reflected the effectiveness of the program. </jats:p
A Novel Chaos Quasi-Oppositional based Flamingo Search Algorithm with Simulated Annealing for Feature Selection
In present situations feature selection is one of the most vital tasks in machine learning. Diminishing the feature set helps to increase the accuracy of the classifier. Due to large number of information’s present in the dataset it is a tremendous process to select the necessary features from the dataset. So, to solve this problem a novel Chaos Quasi-Oppositional based Flamingo Search Algorithm with Simulated Annealing algorithm (CQOFSA-SA) is proposed for feature selection and to select the optimal feature set from the datasets and thus it shrinks the dimension of the dataset. The FSA approach is used to choose the optimal feature subset from the dataset. In each iteration, the optimal solution of FSA is enriched by Simulated Annealing (SA). TheChaos Quasi-Oppositional based learning (CQOBL) included in the initialization of FSA improves the convergence rate and increases the searching capability of the FSA approach in choosing the optimal feature set. From the experimental outcomes, it is proved that the proposed CQOFSA-SA outperforms other feature selection approaches in terms of accuracy, optimal reduced feature set, fast convergence and fitness value
COVID-19 Monitoring System using Social Distancing and Face Mask Detection on Surveillance video datasets
In the current times, the fear and danger of COVID-19 virus still stands
large. Manual monitoring of social distancing norms is impractical with a large
population moving about and with insufficient task force and resources to
administer them. There is a need for a lightweight, robust and 24X7
video-monitoring system that automates this process. This paper proposes a
comprehensive and effective solution to perform person detection, social
distancing violation detection, face detection and face mask classification
using object detection, clustering and Convolution Neural Network (CNN) based
binary classifier. For this, YOLOv3, Density-based spatial clustering of
applications with noise (DBSCAN), Dual Shot Face Detector (DSFD) and
MobileNetV2 based binary classifier have been employed on surveillance video
datasets. This paper also provides a comparative study of different face
detection and face mask classification models. Finally, a video dataset
labelling method is proposed along with the labelled video dataset to
compensate for the lack of dataset in the community and is used for evaluation
of the system. The system performance is evaluated in terms of accuracy, F1
score as well as the prediction time, which has to be low for practical
applicability. The system performs with an accuracy of 91.2% and F1 score of
90.79% on the labelled video dataset and has an average prediction time of 7.12
seconds for 78 frames of a video.Comment: I, Rujula Singh R, would like to apologize to the research community
for the confusion caused by the inconsistency in author lists between
multiple versions of this paper. I take full responsibility for this error
and will be more diligent in the future to ensure the accuracy and
consistency of our research publication
