Monitoring network structure and content quality of signal processing articles on wikipedia

Diverse computer-aided diagnosis systems based on convolutional neural networks were applied to automate the detection of myocardial infarction (MI) found in electrocardiogram (ECG) for early diagnosis and prevention. However, issues, particularly overfitting and underfitting, were not being taken into account. In other words, it is unclear whether the network structure is too simple or complex. Toward this end, the proposed models were developed by starting with the simplest structure: a multi-lead features-concatenate narrow network (N-Net) in which only two convolutional layers were included in each lead branch. Additionally, multi-scale features-concatenate networks (MSN-Net) were also implemented where larger features were being extracted through pooling the signals. The best structure was obtained via tuning both the number of filters in the convolutional layers and the number of inputting signal scales. As a result, the N-Net reached a 95.76% accuracy in the MI detection task, whereas the MSN-Net reached an accuracy of 61.82% in the MI locating task. Both networks give a higher average accuracy and a significant difference of p < 0.001 evaluated by the U test compared with the state-of-the-art. The models are also smaller in size thus are suitable to fit in wearable devices for offline monitoring. In conclusion, testing throughout the simple and complex network structure is indispensable. However, the way of dealing with the class imbalance problem and the quality of the extracted features are yet to be discussed.

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Defining and Measuring News Media Quality: Comparing the Content Perspective and the Audience Perspective

The International Journal of Press/Politics ◽

10.1177/1940161221999666 ◽

2021 ◽

pp. 194016122199966

Author(s):

Philipp Bachmann ◽

Mark Eisenegger ◽

Diana Ingenhoff

Keyword(s):

News Media ◽

Social Scientists ◽

Content Quality ◽

Media System ◽

Evaluative Criteria ◽

Political Implications ◽

Multimethod Approach ◽

Media Systems ◽

Measurement Approach

High-quality news is important, not only for its own sake but also for its political implications. However, defining, operationalizing, and measuring news media quality is difficult, because evaluative criteria depend upon beliefs about the ideal society, which are inherently contested. This conceptual and methodological paper outlines important considerations for defining news media quality before developing and applying a multimethod approach to measure it. We refer to Giddens' notion of double hermeneutics, which reveals that the ways social scientists understand constructs inevitably interact with the meanings of these constructs shared by people in society. Reflecting the two-way relationship between society and social sciences enables us to recognize news media quality as a dynamic, contingent, and contested construct and, at the same time, to reason our understanding of news media quality, which we derive from Habermas' ideal of deliberative democracy. Moreover, we investigate the Swiss media system to showcase our measurement approach in a repeated data collection from 2017 to 2020. We assess the content quality of fifty news media outlets using four criteria derived from the deliberative ideal ( N = 20,931 and 18,559 news articles and broadcasting items, respectively) and compare the results with those from two representative online surveys ( N = 2,169 and 2,159 respondents). The high correlations between both methods show that a deliberative understanding of news media quality is anchored in Swiss society and shared by audiences. This paper shall serve as a showcase to reflect and measure news media quality across other countries and media systems.

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LOCALLY IMPLEMENTABLE MATRIX FLOWS AND THEIR APPLICATION TO NEURAL NETWORK LEARNING

Journal of Circuits System and Computers ◽

10.1142/s021812669400003x ◽

1994 ◽

Vol 04 (01) ◽

pp. 23-51 ◽

Cited By ~ 1

Author(s):

JEROEN DEHAENE ◽

JOOS VANDEWALLE

Keyword(s):

Neural Network ◽

Signal Processing ◽

Network Structure ◽

Adaptive Signal Processing ◽

External Signal ◽

Neural Network Learning ◽

Network Learning ◽

Adaptive Signal

A number of matrix flows, based on isospectral and isodirectional flows, is studied and modified for the purpose of local implementability on a network structure. The flows converge to matrices with a predefined spectrum and eigenvectors which are determined by an external signal. The flows can be useful for adaptive signal processing applications and are applied to neural network learning.

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A new neural network structure for temporal signal processing

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1997.595509 ◽

2002 ◽

Cited By ~ 9

Author(s):

A. Hussain

Keyword(s):

Neural Network ◽

Signal Processing ◽

Network Structure ◽

Neural Network Structure

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A New Approach to Assess the Quality of Small High-Speed Centrifugal Fans Using Noise Measurement

International Journal of Rotating Machinery ◽

10.1155/s1023621x99000135 ◽

1999 ◽

Vol 5 (2) ◽

pp. 147-153 ◽

Cited By ~ 3

Author(s):

Dingjun Cui ◽

Ian A. Craighead

Keyword(s):

Signal Processing ◽

Quality Assessment ◽

Condition Monitoring ◽

High Speed ◽

Noise Levels ◽

New Approach ◽

Commercial Market ◽

Centrifugal Fans ◽

Special Approach

The requirements for a special approach for the quality assessment of small high-speed centrifugal fans are outlined and a new parameter designating the noise levels from the product in comprehensive form will be discussed and described as a criterion for such quality assessment.By applying techniques of signal processing and condition monitoring, the sources of the vibration and noise in different sections of the product can be identified, then the noise from each source from different components can be determined. Using this criterion, more aspects of the quality of the products can be assessed and suggestions to improve the quality of the products can be made. Finally, the assessment of a number ofvacuum cleaner motor/fan units available in the commercial market will be presented and compared with conventional specifications. It will be shown that the new parameter provides a more useful indication of appliance quality.

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ANALYSIS OF INFLUENCE OF VARIABLE BASE ON THE QUALITY OF JAMMER SUPPRESSION WITH TIMESPACE SIGNAL PROCESSING

Radio Electronics Computer Science Control ◽

10.15588/1607-3274-2014-2-8 ◽

2014 ◽

Vol 0 (2) ◽

Author(s):

D. M. Piza ◽

E. A. Zviahintsev

Keyword(s):

Signal Processing

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REAL-TIME ENVIRONMENTAL SENSORS TO IMPROVE HEALTH IN THE SENSING CITY

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xli-b2-729-2016 ◽

2016 ◽

Vol XLI-B2 ◽

pp. 729-733 ◽

Cited By ~ 3

Author(s):

L. Marek ◽

M. Campbell ◽

M. Epton ◽

M. Storer ◽

S. Kingham

Keyword(s):

Quality Of Life ◽

Air Pollution ◽

Air Quality ◽

Real Time ◽

Low Cost ◽

Monitoring Network ◽

Environmental Data ◽

Chronic Obstructive ◽

Actual Usage

The opportunity of an emerging smart city in post-disaster Christchurch has been explored as a way to improve the quality of life of people suffering Chronic Obstructive Pulmonary Disease (COPD), which is a progressive disease that affects respiratory function. It affects 1 in 15 New Zealanders and is the 4th largest cause of death, with significant costs to the health system. While, cigarette smoking is the leading cause of COPD, long-term exposure to other lung irritants, such as air pollution, chemical fumes, or dust can also cause and exacerbate it. Currently, we do know little what happens to the patients with COPD after they leave a doctor’s care. By learning more about patients’ movements in space and time, we can better understand the impacts of both the environment and personal mobility on the disease. This research is studying patients with COPD by using GPS-enabled smartphones, combined with the data about their spatiotemporal movements and information about their actual usage of medication in near real-time. We measure environmental data in the city, including air pollution, humidity and temperature and how this may subsequently be associated with COPD symptoms. In addition to the existing air quality monitoring network, to improve the spatial scale of our analysis, we deployed a series of low-cost Internet of Things (IoT) air quality sensors as well. The study demonstrates how health devices, smartphones and IoT sensors are becoming a part of a new health data ecosystem and how their usage could provide information about high-risk health hotspots, which, in the longer term, could lead to improvement in the quality of life for patients with COPD.

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Peer review declaration

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/941/1/011002 ◽

2021 ◽

Vol 941 (1) ◽

pp. 011002

Keyword(s):

Peer Review ◽

English Language ◽

Environmental Science ◽

Reference List ◽

Scientific Content ◽

Double Blind ◽

Content Quality ◽

Scientific Standards ◽

Academic Debate

Abstract All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind • Conference submission management system: MeisterTask CRM • Number of submissions received: 72 • Number of submissions sent for review: 57 • Number of submissions accepted: 39 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 54% • Average number of reviews per paper: 2 • Total number of reviewers involved: 6 • Any additional info on review process: In general, each article was checked for scientific content, quality of the English language and technical formatting. Reviewers rated the following (5 excellent, 1 poor): Relevance to the themes; Contribution to academic debate; Structure of the paper; Standard of English; Appropriateness of abstract; Appropriateness and number of keywords; Appropriateness of the research/study method; Literature review; Relevance and clarity of drawings, graphs, and tables; Results and findings; Discussion and conclusions; Reference list. In the absence of a scientific component of an article, authors right to revision was rejected. In other cases, correction notes were sent to authors. • Contact person for queries: Anastasia Kulachinskaya, [email protected]

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