scholarly journals Acoustic Emission Burst Extraction for Multi-Level Leakage Detection in a Pipeline

2020 ◽  
Vol 10 (6) ◽  
pp. 1933
Author(s):  
Bach Phi Duong ◽  
JaeYoung Kim ◽  
Inkyu Jeong ◽  
Cheol Hong Kim ◽  
Jong-Myon Kim
Keyword(s):  
Acoustic Emission ◽  
Support Vector ◽  
Pipeline System ◽  
Background Signal ◽  
Crucial Information ◽  
Fault Diagnosis System ◽  
Multi Level ◽  
The One ◽  
Constant Fault ◽  
Different Levels

Acoustic emission bursts are signal waveforms that include a number of consecutive imbrication transients with variable strengths and contain crucial information on the leakage phenomenon in a pipeline system. Detection and isolation of a burst against the background signal increases the ability of a pipe’s fault diagnosis system. This paper proposes a methodology using the Enhanced Constant Fault Alarm Rate (ECFAR) to detect bursts and exploit the burst phenomenon in acoustic emission. The extracted information from the burst waveform is used to distinguish several levels of leakage in a laboratory leak-off experimental testbed. The multi-class support vector machine in the one-against-all method is established as the classifier. The results are compared with those of the wavelet threshold-based method, another algorithm utilized for impulse and burst detection, which indicates that the ECFAR method gives an ameliorative classification result with an accuracy of 93% for different levels of leakage.

scholarly journals The Multi-Level Classroom or The One Room Little Red Schoolhouse Revisited

1984 ◽  
Vol 1 (1) ◽  
pp. 57
Author(s):  
Robert Courchêne
Keyword(s):  
Language Proficiency ◽  
Traditional Methods ◽  
Language Groups ◽  
Multi Level ◽  
Language Input ◽  
The One ◽  
Different Levels

ESL classes are often composed of students from different language groups who are at different levels of language proficiency. We need to adapt traditional methods and settings to accommodate this reality if we wish to provide our students with rich language input. This article proposes a listening activity: the use of multilevel tasks drawing from a common text using the resources of the language lab. As well as offering a rationale and guide to the use of the language lab, it features practical suggestions for structuring exercises and examples of exercise types.

Modelling and Querying the Expressive Semantics of Dance Videos

2006 ◽  
Vol 05 (03) ◽  
pp. 193-210 ◽  
Author(s):  
Balakrishnan Ramadoss ◽  
Kannan Rajkumar
Keyword(s):  
Data Model ◽  
Video Data ◽  
Experimental Results ◽  
Index Structure ◽  
Complex Type ◽  
Different Types ◽  
Multi Level ◽  
Sports News ◽  
The One ◽  
Different Levels

Dance videos are interesting and semantics-intensive. At the same time, they are complex type of videos, when compared to all other types such as sports, news and movie videos. In fact, dance video is the one which is less explored by the researchers across the globe. This paper presents a dance video data model to represent the semantics of the dance videos with different granularity levels, identified by the components of the accompanying song. Secondly, the paper proposes a multi-level index structure to efficiently handle containment, temporal, spatial and spatiotemporal query types. Moreover, the index structure has been designed to consider the queries with different levels of constraints. Finally, the paper presents the experimental results depicting the performance of different types of dance video queries.

scholarly journals Can the Paris Agreement Help Climate Change Litigation and Vice Versa?

2020 ◽  
Vol 9 (1) ◽  
pp. 17-36 ◽  
Author(s):  
Lennart Wegener
Keyword(s):  
Climate Change ◽  
Dynamic Interaction ◽  
Paris Agreement ◽  
Core Element ◽  
Global Issues ◽  
The Core ◽  
Multi Level ◽  
The Law ◽  
The One ◽  
Different Levels

AbstractDomestic climate change litigation is prospering across the globe to the extent of becoming a transnational phenomenon of growing importance. At the international level the Paris Agreement, although still in its infancy, has been established as the core element of the climate change governance framework. This article explores the still opaque relationship between domestic climate change litigation and the Paris Agreement. It is argued that dynamic interaction between domestic litigation and the Paris Agreement may improve the overall efficacy of both regimes. On the one hand, an examination of the Paris Agreement's architecture and provisions reveals pathways that are already being used or can be explored further in litigation. On the other hand, litigation can assist and complement the Paris Agreement with regard to its implementation and progress towards its overall goals. The result may deliver more than a multi-level perspective on climate change law. As it captures the law in action on different levels, the proposed ‘cross-level’ approach has due regard to the implications of the mutual supportiveness or complementarity of legal tools. It also thereby responds to the concern of whether the law can be of significant benefit in addressing complex global issues like climate change.

scholarly journals Acoustic Emission-Based Small Leak Detection of Propulsion System Pipeline of Sounding Rocket

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Lin Gao ◽  
Lili Dong ◽  
Jianguo Cao ◽  
Shaofeng Wang ◽  
Wenjing Liu
Keyword(s):  
Acoustic Emission ◽  
Leak Detection ◽  
Average Frequency ◽  
Kernel Functions ◽  
Estimation Accuracy ◽  
Support Vector ◽  
Pipeline System ◽  
Small Leak ◽  
Pipe Joints ◽  
Pipe Joint

For pipes connected by pipe joints, leaks in the pipeline system are likely to occur at the pipe joints as opposed to the tube itself. Thus, early detection is critical to ensure the safety of the pipeline system. Based on acoustic emission (AE) techniques, this paper presents an experimental research on small leak detection in gas distribution pipelines due to loosening of the pipe joint connection. Firstly, the acoustic characteristics of leak signals are studied; then, features of signals are extracted. Finally, a classifier based on the support vector machine (SVM) technology is established, and the qualified features are selected to detect the leak. It is verified that the main frequency of the AE small leak signal due to the failure of the pipe joint is focused in the range of 33–45 kHz, and the algorithms based on SVM with kernel functions all can reach a better estimation accuracy of 98% using the feature “envelope area” or the feature set {standard deviation (STD), root mean square (RMS), energy, average frequency}.

Differentiation of new coenomorph in context of the Belgard’s ecomorph system development

2017 ◽  
Vol 28 (1-2) ◽  
pp. 28-35 ◽  
Author(s):  
B. A. Baranovski
Keyword(s):  
Environmental Factors ◽  
Plant Species ◽  
Vascular Plants ◽  
Deciduous Forest ◽  
System Development ◽  
Vascular Plant ◽  
Tabular Form ◽  
Ecological Scales ◽  
The One ◽  
Different Levels

Nowadays, bioecological characteristics of species are the basis for flora and vegetation studying on the different levels. Bioecological characteristics of species is required in process of flora studying on the different levels such as biotopes or phytocenoses, floras of particular areas (floras of ecologically homogeneous habitats), and floras of certain territories. Ramensky scale is the one of first detailed ecological scales on plant species ordination in relation to various environmental factors; it developed in 1938 (Ramensky, 1971). A little later (1941), Pogrebnyak’s scale of forest stands was proposed. Ellenberg’s system developed in 1950 (Ellenberg, 1979) and Tsyganov’s system (Tsyganov, 1975) are best known as the systems of ecological scales on vascular plant species; these systems represent of habitat detection by ecotopic ecomorphs of plant species (phytoindication). Basically, the system proposed by Alexander Lyutsianovich Belgard was the one of first system of plant species that identiified ectomorphs in relation to environmental factors. As early as 1950, Belgard developed the tabulated system of ecomorphs using the Latin ecomorphs abbreviation; he also used the terminology proposed in the late 19th century by Dekandol (1956) and Warming (1903), as well as terminology of other authors. The article analyzes the features of Belgard’s system of ecomorphs on vascular plants. It has certain significance and advantages over other systems of ecomorphs. The use of abbreviated Latin names of ecomorphs in tabular form enables the use shortened form of ones. In the working scheme of Belgard’s system of ecomorphs relation of species to environmental factors are represented in the abbreviated Latin alphabetic version (Belgard, 1950). Combined into table, the ecomorphic analysis of plant species within association (ecological certification of species), biotope or area site (water area) gives an explicit pattern on ecological structure of flora within surveyed community, biotope or landscape, and on environmental conditions. Development and application by Belgrard the cenomorphs as «species’ adaptation to phytocenosis as a whole» were completely new in the development of systems of ecomorphs and, in this connection, different coenomorphs were distinguished. Like any concept, the system of ecomorphs by Belgard has the possibility and necessity to be developed and added. Long-time researches and analysis of literature sources allow to propose a new coenomorph in the context of Belgard’s system of ecomorphs development: silvomargoant (species of forest margin, from the Latin words margo – edge, boundary (Dvoretsky, 1976), margo – margin, ad margins silvarum – along the deciduous forest margins). As an example of ecomorphic characterization of species according to the system of ecomorphs by Belgard (when the abbreviated Latin ecomorph names are used in tabular form and the proposed cenomorph is used), it was given the part of the table on vascular plants ecomorphs in the National Nature Park «Orelsky» (Baranovsky et al). The Belgard’s system of ecomorphs is particularly convenient and can be successfully applied to data processing in the ecological analysis of the flora on wide areas with significant species richness, and the proposed ecomorph will be another necessary element in the Belgard’s system of ecomorphs. 

The Logical and Compositional Organization of the Lecture (Based on a Lecture from M. Mamardashvili’s Course “Lectures on Proust”)

2020 ◽  
pp. 72-81
Author(s):  
Aleksandra A. Talanina ◽  
Keyword(s):  
Academic Discourse ◽  
Basic Function ◽  
Literary Language ◽  
Linguistic Features ◽  
Specific Nature ◽  
Teaching Process ◽  
Discourse Studies ◽  
Multi Level ◽  
Spatiotemporal Coordination ◽  
Different Levels

Functional and stylistic studies give us an idea of linguistic features of speech products, thus enabling style identification. These specific features become most recognizable when comparing styles. Discourse studies, on the contrary, are mainly focused on understanding and describing basic factors of creating a form of a literary language (style) and factors that determine the characteristics of speech products in individual situations within a socially significant sphere. This article presents an analysis of the logical and compositional organization of the lecture as a genre of academic discourse, taking a university lecture from M. Mamardashvili’s course on M. Proust as an example. The specific nature of the lecture genre in academic discourse is determined by its basic function in the teaching process implemented in direct dialogue with the audience. The research is based on the thesis that a lecture is an event that can be analysed using the concept of chronotope. The use of this concept beyond the analysis of fiction is relevant since spatiotemporal coordination is mandatory for any speech product, regardless of the sphere it is created in or the functions it performs. The main feature of the lecture chronotope is multi-level organization, since a lecture has its own internal spatiotemporal coordinates. The lecture chronotope is explicated at different levels of the text (compositional, lexical and grammatical), which are interconnected. Considering this, two interconnected frameworks of the lecture – structural and semantic – are singled out; they provide the logical and compositional organization of the material, which is important to ensure students’ understanding.

Drug Target Group Prediction with Multiple Drug Networks

2020 ◽  
Vol 23 (4) ◽  
pp. 274-284 ◽  
Author(s):  
Jingang Che ◽  
Lei Chen ◽  
Zi-Han Guo ◽  
Shuaiqun Wang ◽  
Aorigele
Keyword(s):  
Drug Target ◽  
Low Cost ◽  
Machine Learning Algorithms ◽  
Classification Model ◽  
Support Vector ◽  
Multiple Drug ◽  
Property A ◽  
Multiple Networks ◽  
Proposed Model ◽  
The One

Background: Identification of drug-target interaction is essential in drug discovery. It is beneficial to predict unexpected therapeutic or adverse side effects of drugs. To date, several computational methods have been proposed to predict drug-target interactions because they are prompt and low-cost compared with traditional wet experiments. Methods: In this study, we investigated this problem in a different way. According to KEGG, drugs were classified into several groups based on their target proteins. A multi-label classification model was presented to assign drugs into correct target groups. To make full use of the known drug properties, five networks were constructed, each of which represented drug associations in one property. A powerful network embedding method, Mashup, was adopted to extract drug features from above-mentioned networks, based on which several machine learning algorithms, including RAndom k-labELsets (RAKEL) algorithm, Label Powerset (LP) algorithm and Support Vector Machine (SVM), were used to build the classification model. Results and Conclusion: Tenfold cross-validation yielded the accuracy of 0.839, exact match of 0.816 and hamming loss of 0.037, indicating good performance of the model. The contribution of each network was also analyzed. Furthermore, the network model with multiple networks was found to be superior to the one with a single network and classic model, indicating the superiority of the proposed model.

Turnout in Multi-Level Systems

2017 ◽  
Author(s):  
Sona N. Golder ◽  
Ignacio Lago ◽  
André Blais ◽  
Elisabeth Gidengil ◽  
Thomas Gschwend
Keyword(s):  
National Level ◽  
The Body ◽  
Political Community ◽  
The Political ◽  
European Level ◽  
National Elections ◽  
Political Issues ◽  
European Elections ◽  
Multi Level ◽  
Different Levels

Voters face different incentives to turn out to vote in one electoral arena versus another. Although turnout is lowest in European elections, it is found that the turnout is only slightly lower in regional than in national elections. Standard accounts suggest that the importance of an election, in terms of the policy-making power of the body to be elected, drives variation in turnout across elections at different levels. This chapter argues that this is only part of the story, and that voter attachment to a particular level also matters. Not all voters feel connected to each electoral arena in the same way. Although for some, their identity and the issues they most care about are linked to politics at the national level, for others, the regional or European level may offer the political community and political issues that most resonate with them.

Parties, Voters, and Multi-Level Elections

2017 ◽  
Author(s):  
Sona N. Golder ◽  
Ignacio Lago ◽  
André Blais ◽  
Elisabeth Gidengil ◽  
Thomas Gschwend
Keyword(s):  
Political Parties ◽  
Driving Force ◽  
Party System ◽  
Voting Behaviour ◽  
Electoral Institutions ◽  
Multi Level ◽  
Different Levels

This chapter argues that individual voting behaviour and the strategies chosen by political parties across multiple electoral arenas should be considered jointly. Existing literature points to the importance of an election as a major driving force in voting behaviour, but it is argued that voters and parties may differ in their assessments of the importance of elections at different levels. The chapter discusses how the effect of the importance of an electoral arena, for both voter and party behaviour, will be conditioned by electoral institutions and characteristics of parties and the party system, in addition to individual voter characteristics contributing to it.

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