Characterisation of End-to-End Performance for Web Based File Server Repositories

2001 ◽  
pp. 37-63
Author(s):  
Manoel Eduardo Mascarenhas da V. Alves ◽  
Sergey Nesterov ◽  
Reginald P Coutts
Keyword(s):  
File Server ◽  
Web Based ◽  
End To End

scholarly journals Web-based bioinformatics workflows for end-to-end RNA-seq data computation and analysis in agricultural animal species

BMC Genomics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Weizhong Li ◽  
R. Alexander Richter ◽  
Yunsup Jung ◽  
Qiyun Zhu ◽  
Robert W. Li
Keyword(s):  
Animal Species ◽  
Rna Seq ◽  
Web Based ◽  
Agricultural Animal ◽  
End To End ◽  
Bioinformatics Workflows

scholarly journals CAiRE: An End-to-End Empathetic Chatbot

2020 ◽  
Vol 34 (09) ◽  
pp. 13622-13623
Author(s):  
Zhaojiang Lin ◽  
Peng Xu ◽  
Genta Indra Winata ◽  
Farhad Bin Siddique ◽  
Zihan Liu ◽  
...  
Keyword(s):  
User Interface ◽  
Active Learning ◽  
Transfer Learning ◽  
User Feedback ◽  
Data Driven ◽  
Dialogue Systems ◽  
Generation Task ◽  
Web Based ◽  
End To End ◽  
Negative Training

We present CAiRE, an end-to-end generative empathetic chatbot designed to recognize user emotions and respond in an empathetic manner. Our system adapts the Generative Pre-trained Transformer (GPT) to empathetic response generation task via transfer learning. CAiRE is built primarily to focus on empathy integration in fully data-driven generative dialogue systems. We create a web-based user interface which allows multiple users to asynchronously chat with CAiRE. CAiRE also collects user feedback and continues to improve its response quality by discarding undesirable generations via active learning and negative training.

scholarly journals End-to-End Argumentation Knowledge Graph Construction

2020 ◽  
Vol 34 (05) ◽  
pp. 7367-7374
Author(s):  
Khalid Al-Khatib ◽  
Yufang Hou ◽  
Henning Wachsmuth ◽  
Charles Jochim ◽  
Francesca Bonin ◽  
...  
Keyword(s):  
Large Scale ◽  
Question Answering ◽  
Knowledge Graph ◽  
Exploratory Search ◽  
Text Generation ◽  
Fake News ◽  
High Quality ◽  
Web Based ◽  
Knowledge Graphs ◽  
End To End

This paper studies the end-to-end construction of an argumentation knowledge graph that is intended to support argument synthesis, argumentative question answering, or fake news detection, among others. The study is motivated by the proven effectiveness of knowledge graphs for interpretable and controllable text generation and exploratory search. Original in our work is that we propose a model of the knowledge encapsulated in arguments. Based on this model, we build a new corpus that comprises about 16k manual annotations of 4740 claims with instances of the model's elements, and we develop an end-to-end framework that automatically identifies all modeled types of instances. The results of experiments show the potential of the framework for building a web-based argumentation graph that is of high quality and large scale.

scholarly journals Design and Implementation of an End-to-End Web based Trusted Email System

2018 ◽  
Vol 141 ◽  
pp. 231-238
Author(s):  
Muhammad Zeeshan Sabir ◽  
Muhammad Yousaf
Keyword(s):  
Web Based ◽  
Design And Implementation ◽  
End To End

scholarly journals Minimizing Barriers in Learning for On-Call Radiology Residents—End-to-End Web-Based Resident Feedback System

2017 ◽  
Vol 31 (1) ◽  
pp. 117-123 ◽  
Author(s):  
Hailey H Choi ◽  
Jennifer Clark ◽  
Ann K Jay ◽  
Ross W Filice
Keyword(s):  
Feedback System ◽  
Web Based ◽  
Radiology Residents ◽  
End To End

scholarly journals A New Upper Bound on Cache Hit Probability for Non-anticipative Caching Policies

2021 ◽  
Vol 48 (3) ◽  
pp. 138-143
Author(s):  
Nitish K. Panigrahy ◽  
Philippe Nain ◽  
Giovanni Neglia ◽  
Don Towsley
Keyword(s):  
Upper Bound ◽  
Hazard Rate ◽  
New Method ◽  
Application Performance ◽  
Web Based ◽  
Statistical Assumptions ◽  
Simulation Results ◽  
End To End ◽  
Hr Function

Caching systems have long been crucial for improving the performance of a wide variety of network and web based online applications. In such systems, end-to-end application performance heavily depends on the fraction of objects transfered from the cache, also known as the cache hit probability. Many cache eviction policies have been proposed and implemented to improve the hit probability. In this work, we propose a new method to compute an upper bound on hit probability for all non-anticipative caching policies, i.e. for policies that have no knowledge of future requests. At each object request arrival, we use hazard rate (HR) function based ordering to classify the request as a hit or not. Under some statistical assumptions, we prove that our proposed HR based ordering model computes the maximum achievable hit probability and serves as an upper bound for all non-anticipative caching policies. We also provide simulation results to validate its correctness and to compare it to Belady's upper bound. We find it to almost always be tighter than Belady's bound.

scholarly journals EVALUASI PENGGUNAAN MANUAL DAN AUTOMATED SOFTWARE TESTING PADA PELAKSANAAN END-TO-END TESTING

2020 ◽  
Vol 6 (1) ◽  
pp. 18
Author(s):  
Joan Lian Min ◽  
Adila Istiqomah ◽  
Ani Rahmani
Keyword(s):  
Software Development ◽  
Web Pages ◽  
Web Based ◽  
Automated Software Testing ◽  
Development Life Cycle ◽  
Implementation Techniques ◽  
Testing Techniques ◽  
End To End ◽  
The Right ◽  
Automated Software

In software development life cycle, testing is needed to ensure the quality of the software before it is released. Choosing the testing technique depends on the characteristics of the software to be released. Web-based applications, for example, will tend to use end-to-end testing techniques to ensure web pages interact according to requirements. The cycle of software development recently is getting shorter. It is necessary to study to determine the testing implementation techniques (manually or automated) on the right end-to-end testing. The research objective is to look at the characteristics and technical testing of end-to-end testing that can be done in software development, both manually and automatically. The result showed that the number of iterations of end-to-end testing is very influential in the selection of quality techniques used. That can be a basis for determining testing techniques: manual or automatic.

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