scholarly journals Survey on Online Log Parsers

2021 ◽  
Vol 10 (5) ◽  
pp. 324-330
Author(s):  
Tejaswini S ◽  
Azra Nasreen
Keyword(s):  
Comparative Study ◽  
Knowledge Base ◽  
Time Complexity ◽  
Health And Safety ◽  
Log Analysis ◽  
Analysis Techniques ◽  
Software Applications ◽  
Health Deterioration ◽  
Conversion Rules

Technological dependence is growing in leaps and bounds as days progress. As a result, software applications are required to be up and running at all times without fail. The health and safety of these applications need to be monitored regularly by theuse of constant logging of any faults that occur at their runtime executions. Log analysis techniques are applied to recorded logsto obtain a better overview of how to handle failures and health deterioration. Before these algorithms can be utilized in practice, the raw unstructured logs need to be converted into structured log events. This process is performed by log parsers, which are accessible in two different modes – offline and online. While offline log parsers have a predefined knowledge base containing templates and conversion rules, online log parsers learn new templates on the job. This paper focuses on surveying and creating a comparative study on online log parses by analysing the type of technique used, efficiency and accuracy of the parser on a given dataset, time complexity, and their effectiveness in motivating applications.

Transferring ergonomics: A methodology for self diagnosis of workplace problems

1998 ◽  
Vol 1 (3) ◽  
pp. 223-237
Author(s):  
M. Aileen Sullivan ◽  
E. Nigel Corlett
Keyword(s):  
Knowledge Base ◽  
World Economy ◽  
Western Europe ◽  
Health And Safety ◽  
Work Demands ◽  
Environment Analysis ◽  
The People

The pressure from recent and imminent Health and Safety legislation, both in Western Europe and Canada, has increased the awareness of the important contributions of ergonomics. At the same time it has become clear that ergonomists will never be plentiful enough to attack all workplace problems. In today's world economy, often, many companies lack the resources to employ an ergonomist. This creates a need for the transfer of ergonomics to non-ergonomists so that they can address their own workplace problems themselves. To transfer this skill in an effective and safe way requires a methodology which will incorporate a knowledge base, techniques for identifying mismatches between the people and their work, and ways to assist the users to interpret the results of the analyses and implement the necessary changes. Some useful ergonomics techniques are presented to assist people in assessing their own workplaces. They include techniques which measure work demands and their causes, equipment and environment analysis procedures and techniques that assess the potential for musculo-skeletal injuries.

scholarly journals Comparative study of cloud platforms to develop a Chatbot

2017 ◽  
Vol 6 (3) ◽  
pp. 57 ◽  
Author(s):  
Amit Patil ◽  
Marimuthu K ◽  
Nagaraja Rao A ◽  
Niranchana R
Keyword(s):  
Artificial Intelligence ◽  
Comparative Study ◽  
Time Complexity ◽  
Completion Time ◽  
Setup Time ◽  
Human Being ◽  
Cloud Platform ◽  
New Era ◽  
Ibm Watson ◽  
Aws Lambda

Before chatbots there were simply bots: The invention of a chatbot brought us to the new era of technology, the era of conversation service. A chatbot is a virtual person that can effectively talk to any human being with the help of interactive conversion textual skill. Now a days there are many cloud-based platforms available for developing and deploying the chatbot such as Microsoft bot framework, IBM Watson, Kore, AWS lambda, Microsoft Azure bot service, Chatfuel, Heroku and many more but all those techniques has some drawbacks such as built-in Artificial Intelligence, NLP, conversion service, programming etc. This paper represents the comparison between all cloud-based chatbot technologies with some constraint such as built-in AI, setup time, completion time, complexity etc. Finally, by the comparison, we will get to know that which cloud platform is efficient and suitable for developing chatbot.

Backing up digital preservation practice with empirical research

2017 ◽  
Vol 27 (2) ◽  
pp. 66-82
Author(s):  
Gareth Kay ◽  
Libor Coufal ◽  
Mark Pearson
Keyword(s):  
Knowledge Base ◽  
Empirical Research ◽  
Digital Preservation ◽  
Graph Database ◽  
National Library ◽  
Software Applications ◽  
Functional Relationships ◽  
File Formats ◽  
Digital Objects

This article introduces the National Library of Australia’s Digital Preservation Knowledge Base which helps the Library to manage digital objects from its collections over the long term. The Knowledge Base includes information on file formats, rendering software, operating systems, hardware and, most importantly, the relationships between them. Most of the work on the Knowledge Base over the last few years has been focused on the mapping of functional relationships between file formats, their versions and software applications. The information is gathered through unique empirical research and is initially being recorded in a multiple-worksheet Excel file in a semi-structured format, though development of a prototype graph database is underway.

Comparative Study of Uterine Myoelectrical Response to Labour Induction Drugs in Nulliparous and Parous Women with Different EHG Analysis Techniques

2021 ◽  
Author(s):  
Alba Diaz-Martinez ◽  
Rogelio Monfort-Ortiz ◽  
Yiyao Ye-Lin ◽  
Javier Garcia-Casado ◽  
Felix Nieto-Del-Amor ◽  
...  
Keyword(s):  
Comparative Study ◽  
Labour Induction ◽  
Analysis Techniques

scholarly journals NOISE-BASED LOGIC: WHY NOISE? A COMPARATIVE STUDY OF THE NECESSITY OF RANDOMNESS OUT OF ORTHOGONALITY

2012 ◽  
Vol 11 (04) ◽  
pp. 1250021 ◽  
Author(s):  
HE WEN ◽  
LASZLO B. KISH
Keyword(s):  
Computational Complexity ◽  
Comparative Study ◽  
Power Dissipation ◽  
Time Complexity ◽  
Logic Systems ◽  
Sinusoidal Signals ◽  
Better Than

Although noise-based logic shows potential advantages of reduced power dissipation and the ability of large parallel operations with low hardware and time complexity the question still persist: Is randomness really needed out of orthogonality? In this Letter, after some general thermodynamical considerations, we show relevant examples where we compare the computational complexity of logic systems based on orthogonal noise and sinusoidal signals, respectively. The conclusion is that in certain special-purpose applications noise-based logic is exponentially better than its sinusoidal version: Its computational complexity can be exponentially smaller to perform the same task.

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