scholarly journals Data analytics for smart buildings: a classification method for anomaly detection for measured data

2021 ◽  
Vol 2042 (1) ◽  
pp. 012015
Author(s):  
Enguerrand de Rautlin de la Roy ◽  
Thomas Recht ◽  
Akka Zemmari ◽  
Pierre Bourreau ◽  
Laurent Mora
Keyword(s):  
Energy Consumption ◽  
Anomaly Detection ◽  
Data Quality ◽  
Data Analytics ◽  
Measured Data ◽  
Detection Techniques ◽  
Frequent Use ◽  
Different Types ◽  
User Comfort

Abstract Data generated by the increasingly frequent use of sensors in housing provide the opportunity to monitor, manage and optimize the energy consumption of a building and the user comfort. These data are often strewn with rare or anomalous events, considered as anomalies (or outliers), that must be detected and ultimately corrected in order to improve the data quality. However, many approaches are used or might be used (for the most recent ones) to achieve this purpose. This paper proposes a classification methodology of anomaly detection techniques applied to building measurements. This classification methodology uses a well-suited anomaly typology and measurement typology in order to provide, in the future, a classification of the most adapted anomaly detection techniques for different types of building measurements, anomalies and needs.

scholarly journals Zero-skipping in CapsNet. Is it worth it?

10.29007/cd8h ◽  
2020 ◽  
Author(s):  
Ramin Sharifi ◽  
Pouya Shiri ◽  
Amirali Baniasadi
Keyword(s):  
Neural Networks ◽  
Energy Consumption ◽  
Complex Networks ◽  
General Purpose ◽  
Graphical Processing Units ◽  
Different Types ◽  
Graphical Processing ◽  
Save Energy ◽  
Time And Energy

Capsule networks (CapsNet) are the next generation of neural networks. CapsNet can be used for classification of data of different types. Today’s General Purpose Graphical Processing Units (GPGPUs) are more capable than before and let us train these complex networks. However, time and energy consumption remains a challenge. In this work, we investigate if skipping trivial operations i.e. multiplication by zero in CapsNet, can possibly save energy. We base our analysis on the number of multiplications by zero detected while training CapsNet on MNIST and Fashion- MNIST datasets.

scholarly journals Twenty Years after De Ley and Blaxter—How Far Did We Progress in Understanding the Phylogeny of the Phylum Nematoda?

Animals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3479
Author(s):  
Mohammed Ahmed ◽  
Oleksandr Holovachov
Keyword(s):  
Data Quality ◽  
Phylogenetic Relationships ◽  
Molecular Phylogenetics ◽  
Phylogenetic Analyses ◽  
Phylogenetic Studies ◽  
Methods Of Analysis ◽  
Different Types ◽  
Molecular Phylogenies

Molecular phylogenetics brought radical changes to our understanding of nematode evolution, resulting in substantial modifications to nematode classification implemented by De Ley and Blaxter and widely accepted now. Numerous phylogenetic studies were subsequently published that both improved and challenged this classification. Here we present a summary of these changes. We created cladograms that summarise phylogenetic relationships within Nematoda using phylum-wide to superfamily-wide molecular phylogenies published in since 2005, and supplemented with the phylogenetic analyses for Enoplia and Chromadoria with the aim of clarifying the position of several taxa. The results show which parts of the Nematode tree are well resolved and understood, and which parts require more research, either by adding taxa that have not been included yet (increasing taxon coverage), or by changing the phylogenetic approach (improving data quality, using different types of data or different methods of analysis). The currently used classification of the phylum Nematoda in many cases does not reflect the phylogeny and in itself requires numerous improvements and rearrangements.

Dual stain kit for the microscopic gram classification of ocular infection bacteria

1993 ◽  
Vol 51 ◽  
pp. 248-249
Author(s):  
Jacob S. Hanker ◽  
Dale N. Holdren ◽  
Kenneth L. Cohen ◽  
Beverly L. Giammara
Keyword(s):  
Contact Lenses ◽  
Ocular Infection ◽  
Gram Negative Bacteria ◽  
Gram Negative ◽  
Gram Staining ◽  
Ocular Infections ◽  
Different Types ◽  
Culture Positive ◽  
Increased Susceptibility

Keratitis and conjunctivitis (infections of the cornea or conjunctiva) are ocular infections caused by various bacteria, fungi, viruses or parasites; bacteria, however, are usually prominent. Systemic conditions such as alcoholism, diabetes, debilitating disease, AIDS and immunosuppressive therapy can lead to increased susceptibility but trauma and contact lens use are very important factors. Gram-negative bacteria are most frequently cultured in these situations and Pseudomonas aeruginosa is most usually isolated from culture-positive ulcers of patients using contact lenses. Smears for staining can be obtained with a special swab or spatula and Gram staining frequently guides choice of a therapeutic rinse prior to the report of the culture results upon which specific antibiotic therapy is based. In some cases staining of the direct smear may be diagnostic in situations where the culture will not grow. In these cases different types of stains occasionally assist in guiding therapy.

Explanatory Power for Medical Expert Systems: Studies in the Representation of Causal Relationships for Clinical Consultations

1982 ◽  
Vol 21 (03) ◽  
pp. 127-136 ◽  
Author(s):  
J. W. Wallis ◽  
E. H. Shortliffe
Keyword(s):  
Explanatory Power ◽  
Prototype System ◽  
Inference Rules ◽  
Medical Expert ◽  
Comprehensive Knowledge ◽  
Different Types ◽  
Medical Expert Systems ◽  
Explanation System ◽  
Systems Studies

This paper reports on experiments designed to identify and implement mechanisms for enhancing the explanation capabilities of reasoning programs for medical consultation. The goals of an explanation system are discussed, as is the additional knowledge needed to meet these goals in a medical domain. We have focussed on the generation of explanations that are appropriate for different types of system users. This task requires a knowledge of what is complex and what is important; it is further strengthened by a classification of the associations or causal mechanisms inherent in the inference rules. A causal representation can also be used to aid in refining a comprehensive knowledge base so that the reasoning and explanations are more adequate. We describe a prototype system which reasons from causal inference rules and generates explanations that are appropriate for the user.

scholarly journals Injuries and frequent use of emergency department services: a systematic review

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e040272
Author(s):  
Catherine Laferté ◽  
Andréa Dépelteau ◽  
Catherine Hudon
Keyword(s):  
Systematic Review ◽  
Emergency Department ◽  
Cohort Studies ◽  
Eligibility Criteria ◽  
Geriatric Population ◽  
Physical Injuries ◽  
Frequent Use ◽  
Different Types ◽  
Ed Visits ◽  
Return Visits

ObjectiveTo review all studies having examined the association between patients with physical injuries and frequent emergency department (ED) attendance or return visits.DesignSystematic review.Data sourceMedline, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and PsycINFO databases were searched up to and including July 2019.Eligibility criteriaEnglish and French language publications reporting on frequent use of ED services (frequent attendance and return visits), evaluating injured patients and using regression analysis.Data extraction and synthesisTwo independent reviewers screened the search results, and assessed methodological quality using the Joanna Briggs Institute tool for prevalence studies. Results were collated and summarised using a narrative synthesis. A sensitivity analysis was performed to evaluate the repercussions of removing a study that did not meet the quality criteria.ResultsOf the 2184 studies yielded by this search, 1957 remained after the removal of duplicates. Seventy-eight studies underwent full-text screening leaving nine that met the eligibility criteria and were included in this study: five retrospective cohort studies; two prospective cohort studies; one cross-sectional study; and one case-control study. Different types of injuries were represented, including fractures, trauma and physical injuries related to falls, domestic violence or accidents. Sample sizes ranged from 200 to 1 259 809. Six studies included a geriatric population while three addressed a younger population. Of the four studies evaluating the relationship between injuries and frequent ED use, three reported an association. Additionally, of the five studies in which the dependent variable was return ED visits, three articles identified a positive association with injuries.ConclusionsPhysical injuries appear to be associated with frequent use of ED services (frequent ED attendance as well as return ED visits). Further research into factors including relevant youth-related covariates such as substance abuse and different types of traumas should be undertaken to bridge the gap in understanding this association.

scholarly journals Optimization Issues of a Hammer Mill Working Process Using Statistical Modelling

2021 ◽  
Vol 13 (2) ◽  
pp. 973
Author(s):  
Gigel Paraschiv ◽  
Georgiana Moiceanu ◽  
Gheorghe Voicu ◽  
Mihai Chitoiu ◽  
Petru Cardei ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Optimization Problem ◽  
Specific Energy Consumption ◽  
Statistical Modelling ◽  
Hammer Mill ◽  
Objective Functions ◽  
Working Process ◽  
Rotor Spinning ◽  
Milled Material ◽  
Different Types

Our paper presents the hammer mill working process optimization problem destined for milling energetic biomass (MiscanthusGiganteus and Salix Viminalis). For the study, functional and constructive parameters of the hammer mill were taken into consideration in order to reduce the specific energy consumption. The energy consumption dependency on the mill rotor spinning frequency and on the sieve orifices in use, as well as on the material feeding flow, in correlation with the vegetal biomass milling degree was the focus of the analysis. For obtaining this the hammer mill was successively equipped with 4 different types of hammers that grind the energetic biomass, which had a certain humidity content and an initial degree of reduction ratio of the material. In order to start the optimization process of hammer mill working process, 12 parameters were defined. The objective functions which minimize hammer mill energy consumption and maximize the milled material percentage with a certain specific granulation were established. The results obtained can serve as the basis for choosing the optimal working, constructive, and functional parameters of hammer mills in this field, and for a better design of future hammer mills.

scholarly journals Freely scalable and reconfigurable optical hardware for deep learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liane Bernstein ◽  
Alexander Sludds ◽  
Ryan Hamerly ◽  
Vivienne Sze ◽  
Joel Emer ◽  
...  
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Data Transfer ◽  
Power Delivery ◽  
Optical Data ◽  
Optical Multicast ◽  
Optical Neural Network ◽  
Fully Connected ◽  
Management Power

AbstractAs deep neural network (DNN) models grow ever-larger, they can achieve higher accuracy and solve more complex problems. This trend has been enabled by an increase in available compute power; however, efforts to continue to scale electronic processors are impeded by the costs of communication, thermal management, power delivery and clocking. To improve scalability, we propose a digital optical neural network (DONN) with intralayer optical interconnects and reconfigurable input values. The path-length-independence of optical energy consumption enables information locality between a transmitter and a large number of arbitrarily arranged receivers, which allows greater flexibility in architecture design to circumvent scaling limitations. In a proof-of-concept experiment, we demonstrate optical multicast in the classification of 500 MNIST images with a 3-layer, fully-connected network. We also analyze the energy consumption of the DONN and find that digital optical data transfer is beneficial over electronics when the spacing of computational units is on the order of $$>10\,\upmu $$ > 10 μ m.

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