scholarly journals Real-Time Sentiment Analysis for Polish Dialog Systems Using MT as Pivot

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1813
Author(s):  
Krzysztof Wołk
Keyword(s):  
Real Time ◽  
English Language ◽  
Dialogue Systems ◽  
Dialog Systems ◽  
Dialog System ◽  
Medical Interviews ◽  
Polish Language ◽  
Training Resources ◽  
The Cost

We live in a time when dialogue systems are becoming a very popular tool. It is estimated that in 2021 more than 80% of communication with customers on the first line of service will be based on chatbots. They enter not only the retail market but also various other industries, e.g., they are used for medical interviews, information gathering or preliminary assessment and classification of problems. Unfortunately, when these work incorrectly it leads to dissatisfaction. Such systems have the possibility of contacting a human consultant with a special command, but this is not the point. The dialog system should provide a good, uninterrupted and fluid experience and not show that it is an artificial creation. Analysing the sentiment of the entire dialogue in real time can provide a solution to this problem. In our study, we focus on studying the methods of analysing the sentiment of dialogues based on machine learning for the English language and the morphologically complex Polish language, which also represents a language with a small amount of training resources. We analyse the methods directly and use the machine translator as an intermediary, thus checking the quality changes between models based on limited resources and those based on much larger English but machine translated texts. We manage to obtain over 89% accuracy using BERT-based models. We make recommendations in this regard, also taking into account the cost aspect of implementing and maintaining such a system.

YAG: A TEMPLATE-BASED TEXT REALIZATION SYSTEM FOR DIALOG

2001 ◽  
Vol 09 (06) ◽  
pp. 649-659
Author(s):  
SONGSAK CHANNARUKUL ◽  
SUSAN W. MCROY ◽  
SYED S. ALI
Keyword(s):  
Natural Language ◽  
Real Time ◽  
Semantic Content ◽  
Text Structure ◽  
Tutoring Systems ◽  
Dialog Systems ◽  
Base Content ◽  
Knowledge Based ◽  
Text Structures ◽  
Dialog System

We present a natural language realization component, called YAG, that is suitable for intelligent tutoring systems that use dialog. Dialog imposes unique requirements on a generation component, namely: dialog systems must interact in real-time; they must be capable of producing fragmentary output; and they may be re-deployed in a number of different domains. Our approach to real-time natural language realization combines a declarative, template-based approach for the representation of text structure with knowledge-based methods for representing semantic content. Possible text structures are defined in a declarative language that is easy to understand, maintain, and re-use. A dialog system can use YAG to realize text structures by specifying a template and content from its knowledge base. Content can be specified in one of two ways: (1) as a sequence of propositions along with some control features; or (2) as a set of feature-value pairs. YAG's template realization algorithm realizes text without any search (in contrast to systems that must find rules that unify with a feature structure).

scholarly journals Improving real-time drone detection for counter-drone systems

2021 ◽  
pp. 1-26
Author(s):  
E. Çetin ◽  
C. Barrado ◽  
E. Pastor
Keyword(s):  
Object Detection ◽  
Real Time ◽  
State Of The Art ◽  
Low Cost ◽  
Detection Algorithm ◽  
Test Results ◽  
Security Risks ◽  
Art Object ◽  
The Cost

Abstract The number of unmanned aerial vehicles (UAVs, also known as drones) has increased dramatically in the airspace worldwide for tasks such as surveillance, reconnaissance, shipping and delivery. However, a small number of them, acting maliciously, can raise many security risks. Recent Artificial Intelligence (AI) capabilities for object detection can be very useful for the identification and classification of drones flying in the airspace and, in particular, are a good solution against malicious drones. A number of counter-drone solutions are being developed, but the cost of drone detection ground systems can also be very high, depending on the number of sensors deployed and powerful fusion algorithms. We propose a low-cost counter-drone solution composed uniquely by a guard-drone that should be able to detect, locate and eliminate any malicious drone. In this paper, a state-of-the-art object detection algorithm is used to train the system to detect drones. Three existing object detection models are improved by transfer learning and tested for real-time drone detection. Training is done with a new dataset of drone images, constructed automatically from a very realistic flight simulator. While flying, the guard-drone captures random images of the area, while at the same time, a malicious drone is flying too. The drone images are auto-labelled using the location and attitude information available in the simulator for both drones. The world coordinates for the malicious drone position must then be projected into image pixel coordinates. The training and test results show a minimum accuracy improvement of 22% with respect to state-of-the-art object detection models, representing promising results that enable a step towards the construction of a fully autonomous counter-drone system.

Classification of the factors forming the cost of the web-site

2017 ◽  
Vol 31 (2) ◽  
pp. 82-89
Author(s):  
E. S. Epifanov
Keyword(s):  
Web Site ◽  
Internet Site ◽  
Advantages And Disadvantages ◽  
Major Factors ◽  
The Cost ◽  
The Web

This article presents a classification of major factors that shape the cost of Internet site. Also discusses the limitations in determining the objectives of the web site; advantages and disadvantages of different factors.

Use of real-time videoconferencing to deliver physical therapy services: A scoping review of published and emerging evidence

2019 ◽  
Vol 26 (10) ◽  
pp. 581-589 ◽  
Author(s):  
Stephanie Horsley ◽  
Gunnar Schock ◽  
Stacey L Grona ◽  
Kara Montieth ◽  
Bryttnee Mowat ◽  
...  
Keyword(s):  
Physical Therapy ◽  
Real Time ◽  
English Language ◽  
Data Extraction ◽  
Therapy Assessment ◽  
Process Outcomes ◽  
Study Characteristics ◽  
Therapy Services ◽  
Videoconferencing Technology ◽  
Physical Therapy Services

Introduction Telehealth may be a viable means to deliver physical therapy services across a range of practice settings and health conditions; however, there is limited uptake of telehealth in clinical practice. The purpose of this study is to examine and describe trends, gaps and opportunities in published and emerging evidence regarding the use of real-time videoconferencing to deliver physical therapy services. Methods Four databases and three trial registries were searched using terms for physical therapy and telehealth. Inclusion criteria were primary studies, systematic reviews and published trial registries that had the following features: physical therapy assessment and/or treatment, real-time videoconferencing and English language. Title/abstract, full text screening and data extraction were completed by pairs of independent reviewers. Descriptive statistics stratified by published research and trial registry records were used to summarize study characteristics. Results A total of 100 studies (80 published and 20 trial registries) were included. Australia, Canada and the US have the highest proportion of published and emerging research (63%). The majority of conditions studied were musculoskeletal (42%). Computers were the most common videoconferencing technology used (31%) and only 14% of studies reported using a secure platform. The majority of studies examined health outcomes (64%) and process outcomes (65%), while only 32% reported system outcomes. Discussion Research in the field of telehealth and physical therapy is growing and becoming increasingly diverse with the advancements in technology.

scholarly journals Implementation of a deep learning model for automated classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) in real time

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Song-Quan Ong ◽  
Hamdan Ahmad ◽  
Gomesh Nair ◽  
Pradeep Isawasan ◽  
Abdul Hafiz Ab Majid
Keyword(s):  
Deep Learning ◽  
Aedes Aegypti ◽  
Real Time ◽  
Aedes Albopictus ◽  
Automated Classification ◽  
Expert Performance ◽  
Deep Convolutional Neural Networks ◽  
Significant Difference ◽  
Set Up

AbstractClassification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) by humans remains challenging. We proposed a highly accessible method to develop a deep learning (DL) model and implement the model for mosquito image classification by using hardware that could regulate the development process. In particular, we constructed a dataset with 4120 images of Aedes mosquitoes that were older than 12 days old and had common morphological features that disappeared, and we illustrated how to set up supervised deep convolutional neural networks (DCNNs) with hyperparameter adjustment. The model application was first conducted by deploying the model externally in real time on three different generations of mosquitoes, and the accuracy was compared with human expert performance. Our results showed that both the learning rate and epochs significantly affected the accuracy, and the best-performing hyperparameters achieved an accuracy of more than 98% at classifying mosquitoes, which showed no significant difference from human-level performance. We demonstrated the feasibility of the method to construct a model with the DCNN when deployed externally on mosquitoes in real time.

scholarly journals Classification of cesarean section through Robson criteria: an emerging concept to audit the increasing cesarean section rate

2018 ◽  
Vol 7 (11) ◽  
pp. 4674
Author(s):  
Anita Kant ◽  
Shweta Mendiratta
Keyword(s):  
Cesarean Section ◽  
Sedentary Lifestyle ◽  
Health Concern ◽  
Vaginal Birth After Cesarean ◽  
Public Health Concern ◽  
Cesarean Deliveries ◽  
Poor Tolerance ◽  
Group 5 ◽  
The Cost

Background: There has been an increase in rate of cesarean section over last five decades. This is a matter of international public health concern as it increases the cesarean section related maternal morbidity. The aim of the present study was to audit the increasing rate of caesarean section.Methods: In the present study, all cases delivered by cesarean section during the period of six months were recorded and classified according to Robson's 10 group classification system. This was an attempt to see which clinically relevant groups contributed most to the cesarean deliveries.Results: There was a trend of increased percentage of cesarean section in group 5 and 2 respectively in present study. Increasingly sedentary lifestyle and poor tolerance to pain are adding to cesarean delivery on maternal request.Conclusions: We should judiciously make use of vaginal birth after cesarean section but not at the cost of maternal or fetal health. Standardization of indication of cesarean deliveries, regular audits and definite protocols in                                                                                                                                                                                                                                                                                                                                 hospital will aid in curbing the rate of cesarean deliveries in hospitals.

scholarly journals Methods of Disinfecting Stethoscopes: Systematic Review

2020 ◽  
Vol 17 (6) ◽  
pp. 1856 ◽  
Author(s):  
Margherita Napolitani ◽  
Daiana Bezzini ◽  
Fulvio Moirano ◽  
Corrado Bedogni ◽  
Gabriele Messina
Keyword(s):  
Systematic Review ◽  
English Language ◽  
Light Emitting Diode ◽  
Bacterial Load ◽  
Silver Ions ◽  
Light Emitting ◽  
Disinfection Methods ◽  
Mesh Terms ◽  
Healthcare Associated ◽  
The Cost

The aim of this systematic review was to investigate the effectiveness of various disinfection methods available for stethoscopes. In March 2019, we performed a search in PubMed and Scopus using the search terms: “reducing stethoscopes contamination” and “disinfection stethoscopes”; the Mesh terms used in PubMed were “Decontamination/methods” or “Disinfection/methods” and “Stethoscopes/microbiology”. Selection criteria were: English language; at least one disinfection method tested. A total of 253 publications were screened. After title, abstract, and full-text analysis, 17 papers were included in the systematic review. Ethanol at 90%, Ethanol-Based Hands Sanitizer (EBHS), triclosan, chlorhexidine, isopropyl alcohol, 66% ethyl alcohol, sodium hypochlorite, and benzalkonium chloride have been proven to lower the presence of bacteria on stethoscopes’ surfaces. In addition, alcohol wipes show effective results. A wearable device emitting ultraviolet C by Light-Emitting Diode (LED) resulted efficacious against common microorganisms involved in Healthcare Associated Infections. The cover impregnated with silver ions seemed to be associated with significantly higher colony counts. Instead, copper stethoscopes surface reduced bacterial load. The disinfection of stethoscopes appears to be essential. There are many valid methods available; the choice depends on various factors, such as the cost, availability, and practicality.

scholarly journals Graph node rank based important keyword detection from Twitter

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mukesh Kumar ◽  
Palak Rehan
Keyword(s):  
Real Time ◽  
English Language ◽  
Hybrid Approach ◽  
Levenshtein Distance ◽  
Social Media Networks ◽  
The Social ◽  
Keyword Detection ◽  
Product Launches ◽  
Process Detection ◽  
Good Resource

Social media networks like Twitter, Facebook, WhatsApp etc. are most commonly used medium for sharing news, opinions and to stay in touch with peers. Messages on twitter are limited to 140 characters. This led users to create their own novel syntax in tweets to express more in lesser words. Free writing style, use of URLs, markup syntax, inappropriate punctuations, ungrammatical structures, abbreviations etc. makes it harder to mine useful information from them. For each tweet, we can get an explicit time stamp, the name of the user, the social network the user belongs to, or even the GPS coordinates if the tweet is created with a GPS-enabled mobile device. With these features, Twitter is, in nature, a good resource for detecting and analyzing the real time events happening around the world. By using the speed and coverage of Twitter, we can detect events, a sequence of important keywords being talked, in a timely manner which can be used in different applications like natural calamity relief support, earthquake relief support, product launches, suspicious activity detection etc. The keyword detection process from Twitter can be seen as a two step process: detection of keyword in the raw text form (words as posted by the users) and keyword normalization process (reforming the users’ unstructured words in the complete meaningful English language words). In this paper a keyword detection technique based upon the graph, spanning tree and Page Rank algorithm is proposed. A text normalization technique based upon hybrid approach using Levenshtein distance, demetaphone algorithm and dictionary mapping is proposed to work upon the unstructured keywords as produced by the proposed keyword detector. The proposed normalization technique is validated using the standard lexnorm 1.2 dataset. The proposed system is used to detect the keywords from Twiter text being posted at real time. The detected and normalized keywords are further validated from the search engine results at later time for detection of events.

scholarly journals Evaluation of StrepBSelectChromogenic Medium and the Fast-Track Diagnostics Group B Streptococcus (GBS) Real-Time PCR Assay Compared to Routine Culture for Detection of GBS during Antepartum Screening

2017 ◽  
Vol 55 (7) ◽  
pp. 2137-2142 ◽  
Author(s):  
Deirdre L. Church ◽  
Heather Baxter ◽  
Tracie Lloyd ◽  
Oscar Larios ◽  
Daniel B. Gregson
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Fast Track ◽  
Group B Streptococcus ◽  
Culture Method ◽  
Predictive Values ◽  
Content Type ◽  
Standard Culture ◽  
Group B ◽  
The Cost

ABSTRACTLife-threatening infection in neonates due to group BStreptococcus(GBS) is preventable by screening of near-term pregnant women and treatment at delivery. A total of 295 vaginal-rectal swabs were collected from women attending antepartum clinics in Calgary, Alberta, Canada. GBS colonization was detected by the standard culture method (Strep B Carrot Broth subcultured to blood agar with a neomycin disk) and compared to recovery with Strep Group B Broth (Dalynn Biologicals) subcultured to StrepBSelectchromogenic medium (CM; Bio-Rad Laboratories) and the Fast-Track Diagnostics GBS real-time PCR (quantitative PCR [qPCR]) assay (Phoenix Airmid Biomedical Corp.) performed with broth-enriched samples and the Abbottm2000sp/m2000rt system. A total of 62/295 (21%) women were colonized with GBS; 58 (19.7%) cases were detected by standard culture, while CM and qPCR each found 61 (20.7%) cases. The qPCR and CM were similar in performance, with sensitivities, specificities, and positive and negative predictive values of 98.4 and 98.4%, 99.6 and 99.6%, 98.4 and 98.4%, and 99.6 and 99.6%, respectively, compared to routine culture. Both qPCR and CM would allow more rapid reporting of routine GBS screening results than standard culture. Although the cost per test was similar for standard culture and CM, the routine use of qPCR would cost approximately four times as much as culture-based detection. Laboratories worldwide should consider implementing one of the newer methods for primary GBS testing, depending on the cost limitations of different health care jurisdictions.

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