Learning Models for Concept Extraction From Images With Drug Labels for a Unified Knowledge Base Utilizing NLP and IoT Tasks

Author(s):  
Sukumar Rajendran ◽  
Prabhu J.

The evolution of humankind is through the exchange of information and extraction of knowledge from available information. The process of exchange of the information differs by the probability of the medium through which the information is exchanged. The Internet of things (IoT) contains millions of devices with sensors simultaneously transferring real time information to devices as rapid streams of data that need to be processed on the go. This leads to the need for development of effective and efficient approaches for segregating data based on class, relatedness, and differences in the information. The extraction of text from images is performed through tesseract irrespective of the language. SCIBERT models to extract scientific information and evaluating on a suite of tasks specially in classifying drugs based on free data (tweets, images, etc.). The images and text-based semantic similarity analysis provide similar drugs grouped together by composition or manufacturer.

2019 ◽  
Vol 31 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Marko Periša ◽  
Goran Marković ◽  
Peter Kolarovszki ◽  
Radovan Madleňák

Design and development of systems for delivering real-time information to people with disabilities and elderly persons need to be based on defined user requirements. For this purpose, the user requirements have been defined in this paper according to the everyday needs of people who use traffic networks and move in closed spaces. The logical presentation of the functionality of the informing system operation and its subsystems includes all the information (data) important for designing a user information delivery system. The paper presents a conceptual architecture system for delivering user informing services related to the environment based on the Internet of Things concept. The aim of the user informing service is an increase in the level of mobility of persons with disabilities and the senior age groups of users. In order to check the operation of the proposed architecture, the informing system operation was monitored on Arduino Uno and Raspberry Pi platforms in laboratory conditions. A simulation confirmed the interdependence of individual data from different subsystems in order to provide real-time information to the system user. The proposed conceptual architecture can contribute to a more efficient approach to the modeling of assistive technologies (with the aim of informing the users) based on dew/fog/cloud technologies in the Internet of Things  environment.


2013 ◽  
Vol 273 ◽  
pp. 641-645 ◽  
Author(s):  
Rong Chun Sun ◽  
Yan Piao ◽  
Yu Wang ◽  
Han Wang

To help drivers to quickly find a spare parking, a parking guidance control system was proposed. The principle of ultrasonic ranging was used to detect the state of a parking space, and through the internet of things the parking detector transmits the real-time information to the control center. The control center mainly is an industrial computer and is responsible for dealing with the real-time information and sending the control command by internet of things. The guidance signs at each crossroad receive the wireless commands and execute them, by which the guidance function is performed. The internet of things was realized by ZigBee star network, in which the control center is a coordinator and other parts are routers or terminal equipments. The simulation experiment results show that the parking guidance system works well, and has the value of application and promotion to some extent.


Author(s):  
Andrés Boza ◽  
Beatriz Cortes ◽  
Maria del Mar Eva Alemany ◽  
Llanos Cuenca

Sensing Enterprise is a new concept, which appears with the Internet of Things (IoT) application in industry. This technology applied in production sys- tems provides many benefits like better transparency or real time information. This approach proposes a conceptual framework for IoT application in Production Systems. The aim of this framework is helping enterprises to identify the main el- ements to apply IoT in Production Systems. To create this framework, a literature review has been made and the main components of IoT in Sensing Enterprise in production proposals have been identify. Thus, these elements and its relations have been the source for the conceptual framework proposed. 


2013 ◽  
Vol 846-847 ◽  
pp. 1881-1884
Author(s):  
Hong Yu He

The Internet of things is a new kind of application technology. It is the extension and expansion of Internet technology. The real-time information theory in the Internet of things promotes the development of China's industry, agriculture and military aspects. Therefore, we should strengthen the study of Internet of things real-time information access problems. This paper introduces the Internet of things, the Internet of things real-time information meaning and basic characteristic, and further discusses the related application of the Internet of things real-time information in detail. It researches the advantages and disadvantages of different access path of the Internet of things real-time information, and tries to explore a way which is conducive to the further development of the Internet of things real-time information theory.


2021 ◽  
Author(s):  
Marina Corradini ◽  
Laure Fallou ◽  
Rémy Bossu ◽  
Frédéric Roussel

<p>Twitter has proved to be a powerful tool for the dissemination of scientific information in the aftermath of a seismic event. During an earthquake crisis, the affected population is in need of rapid, reliable information on what has just happened and what to do next to stay safe. However, it is not rare that reliable earthquake information takes a few minutes to be accessible and shared with the population. This shortcoming can have harmful impact: every time there is a lack of information, rumors fill the void and misinformation spreads. To make matters worse, scientific communication is often jargon-laden and hence perceived as overly technical, inappropriate, and unfeeling. Effective earthquake communication must therefore be:</p><ul><li>rapid and clear, to prevent fake news from spreading;</li> <li>transparent, by acknowledging uncertainty if reliable information is not available yet;</li> <li>empathetic and compassionate, to decrease anxiety and promote a sense of calming.</li> </ul><p>In this light, we discuss the communication strategy of @LastQuake, the official Twitter channel (160k followers) of the Euro-Med Seismological Centre. When an earthquake strikes and is felt by the population, real-time information on the seismic event begins to be automatically published via a twitter-robot. These automatic tweets range from easily-accessible scientific information about the earthquake location and magnitude, to the shaking felt by the earthquake eyewitnesses, to the safety guidelines and –where applicable– to tsunami warnings. Our automatic tweets have little or no technical jargon. The Information is primarily accessed by users who are in the midst of responding and possibly traumatized. Hence our words, tone, and images have been carefully chosen to provide competent and appropriate communication. Meanwhile, when necessary, further tweets may be manually published to counter the onset of specific false claims and theories, or to address cultural and situational specific needs.  </p><p>Our discussion will outline the current @lastquake twitter-bot environment and discuss evidence-based best practices for using Twitter for earthquake crisis communication to avoid misinformation and promote self and community efficacy.</p>


2023 ◽  
Vol 55 (1) ◽  
pp. 1-35
Author(s):  
Abhishek Hazra ◽  
Mainak Adhikari ◽  
Tarachand Amgoth ◽  
Satish Narayana Srirama

In the era of Industry 4.0, the Internet-of-Things (IoT) performs the driving position analogous to the initial industrial metamorphosis. IoT affords the potential to couple machine-to-machine intercommunication and real-time information-gathering within the industry domain. Hence, the enactment of IoT in the industry magnifies effective optimization, authority, and data-driven judgment. However, this field undergoes several interoperable issues, including large numbers of heterogeneous IoT gadgets, tools, software, sensing, and processing components, joining through the Internet, despite the deficiency of communication protocols and standards. Recently, various interoperable protocols, platforms, standards, and technologies are enhanced and altered according to the specifications of the applicability in industrial applications. However, there are no recent survey papers that primarily examine various interoperability issues that Industrial IoT (IIoT) faces. In this review, we investigate the conventional and recent developments of relevant state-of-the-art IIoT technologies, frameworks, and solutions for facilitating interoperability between different IIoT components. We also discuss several interoperable IIoT standards, protocols, and models for digitizing the industrial revolution. Finally, we conclude this survey with an inherent discussion of open challenges and directions for future research.


2007 ◽  
Vol 7 (3) ◽  
pp. 156-160 ◽  
Author(s):  
Adrian Dale

AbstractThe twenty-first century is already proving to be the real dawn of the information revolution. The internet is now officially coming of age and highly functional mobile devices are everywhere. The youth of today are permanently connected and the media world is shifting to a “born digital”, “on line first” mentality. Every part of our society is feeling the effects of this revolution and is reaping the benefits of “real time information everywhere” ... or are they? Adrian Dale, in the second Willi Steiner Memorial Lecture, suggests that the reality is that many businesses are failing to keep pace with information growth and desperately need help – the question is from whom?


2019 ◽  
Author(s):  
Nelson Gonçalves Prates Junior ◽  
Andressa Vergutz ◽  
Ricardo Tombesi Macedo ◽  
Michele Nogueira

The Internet of Things (IoT) emerged because of the technologicalevolution of wireless sensor networks, which enabled these sensors to integrate with common objects. These objects are equipped with sensors and actuatorscollect data from users and the environment, process them, and transform theminto useful information. By allowing the transmission of restricted / personaldata, communication traffic between devices becomes an interesting target forattackers who either access or manipulate them. However, even with cryptographic data, side-channel attacks exploit the characteristics of devices forthe purpose of acquiring information that may compromise the security of thenetwork structure. This work presents a way of characterizing the identical IoT dispositives by only exploring the time information. It carried the activitiesout such as structuring an experimental scenario, collecting traffic, extractingstatistical characteristics and finally identifying the dispositives. The results show we can identify even identical devices with up to 100% of accuracy.


Sign in / Sign up

Export Citation Format

Share Document