Effective Prevention and Reduction in the Rate of Accidents Using Internet of Things and Data Analytics

2019 ◽  
pp. 99-121
Author(s):  
Sowmya B. J. ◽  
Chetan Shetty ◽  
Seema S. ◽  
Srinivasa K. G.
Keyword(s):  
Web Interface ◽  
Effective Prevention ◽  
Police Station ◽  
Medical Response ◽  
Intelligent Analysis ◽  
Traffic Policemen ◽  
On Chip ◽  
Accident Detection ◽  
Technical Solutions ◽  
The Web

Hundreds of lives in India are lost each day due to the delayed medical response. In the present scenario, the victims completely rely on the passersby for almost every kind of medical help such as informing the hospital or ambulance. This project aims to automate the process of detecting and reporting accidents using accident detection kits in vehicles. The kit has a system on chip and various sensors which sense various parameters that change drastically during the occurrence of accidents such as the vibration levels, orientation of vehicles with respect to the ground. The accident is said to occur when these values cross the permissible threshold limit. As soon as this happens, the latitude and longitude of the accident spot is tracked using the GPS module present in the kit. The nearest hospital and police station is computed by the GPS module, which uses the latitude and longitude values as the input. The accident notifications are sent to the concerned hospital and police station over the web interface accordingly. The assignment of particular ambulance and the required traffic policemen to the accident cases is done using the web interface. The android application guides the ambulance driver as well as the policemen to the accident spot and also helps in the detailed registration of the accidents. The closest doctor facility and police headquarters is processed by the GPS module, which utilizes the scope and longitude esteems as the information. The accident warnings are sent to the concerned healing facility and police headquarters over the web interface as needs be. The task of specific rescue vehicle and policemen to the accident cases is finished utilizing the web interface. An intelligent analysis of the last five years' rich dataset uncovers the patterns followed by the accidents and gives valuable insights on how to deploy the existing resources such as ambulances and traffic-police efficiently. Various types of analysis are done to identify the cause-effect relationships and deal with this in a better way. Such technical solutions to the frequently occurring problems would result in saving many lives as well as making the cities safer and smarter.

Effective Prevention and Reduction in the Rate of Accidents Using Internet of Things and Data Analytics

2020 ◽  
pp. 114-141
Author(s):  
B. J. Sowmya ◽  
Chetan Shetty ◽  
S. Seema ◽  
K. G. Srinivasa
Keyword(s):  
Web Interface ◽  
Effective Prevention ◽  
Police Station ◽  
Medical Response ◽  
Intelligent Analysis ◽  
Traffic Policemen ◽  
On Chip ◽  
Accident Detection ◽  
Technical Solutions ◽  
The Web

Hundreds of lives in India are lost each day due to the delayed medical response. In the present scenario, the victims completely rely on the passersby for almost every kind of medical help such as informing the hospital or ambulance. This project aims to automate the process of detecting and reporting accidents using accident detection kits in vehicles. The kit has a system on chip and various sensors which sense various parameters that change drastically during the occurrence of accidents such as the vibration levels, orientation of vehicles with respect to the ground. The accident is said to occur when these values cross the permissible threshold limit. As soon as this happens, the latitude and longitude of the accident spot is tracked using the GPS module present in the kit. The nearest hospital and police station is computed by the GPS module, which uses the latitude and longitude values as the input. The accident notifications are sent to the concerned hospital and police station over the web interface accordingly. The assignment of particular ambulance and the required traffic policemen to the accident cases is done using the web interface. The android application guides the ambulance driver as well as the policemen to the accident spot and also helps in the detailed registration of the accidents. The closest doctor facility and police headquarters is processed by the GPS module, which utilizes the scope and longitude esteems as the information. The accident warnings are sent to the concerned healing facility and police headquarters over the web interface as needs be. The task of specific rescue vehicle and policemen to the accident cases is finished utilizing the web interface. An intelligent analysis of the last five years' rich dataset uncovers the patterns followed by the accidents and gives valuable insights on how to deploy the existing resources such as ambulances and traffic-police efficiently. Various types of analysis are done to identify the cause-effect relationships and deal with this in a better way. Such technical solutions to the frequently occurring problems would result in saving many lives as well as making the cities safer and smarter.

Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents

2016 ◽  
Vol 7 (4) ◽  
pp. 60-76
Author(s):  
K.G. Srinivasa ◽  
Abhinav Shikhar ◽  
J.S. Naveen ◽  
B.J. Sowmya
Keyword(s):  
Android Application ◽  
Web Interface ◽  
Police Station ◽  
Medical Response ◽  
Intelligent Analysis ◽  
Traffic Policemen ◽  
On Chip ◽  
Accident Detection ◽  
Technical Solutions ◽  
The Web

Hundreds of lives in the country are lost each day due to the delayed medical response to the accident spots. In the present scenario, the victims completely rely on the passersby for almost every kind of medical help such as informing the hospital or ambulance. This project aims to automate the process of detecting and reporting accidents using accident detection kit in vehicles. The kit has a System on Chip and various sensors which sense various parameters that change drastically during the occurrence of accidents such as the vibration levels, orientation of vehicles with respect to the ground. The accident is said to occur when these values cross the permissible threshold limit. As soon as this happens, the latitude and longitude of the accident spot is tracked using the GPS module present in the kit. The nearest hospital and police station is computed by the GPS Module, which uses the latitude and longitude values as the input. The accident notifications are sent to the concerned hospital and police station over the web interface accordingly. The assignment of particular ambulance and the required traffic policemen to the accident cases is done using the web interface. The android application guides the ambulance driver as well as the policemen to the accident spot and also helps in the detailed registration of the accidents. An intelligent analysis of the last five years' rich dataset uncovers the patterns followed by the accidents and gives valuable insights on how to deploy the existing resources such as ambulances and traffic-police efficiently. Various types of analysis are done to identify the cause-effect relationships and deal with this in a better way. Such technical solutions to the frequently occurring problems would result in saving many lives as well as making the cities safer and smarter.

scholarly journals A Web Interface for Analyzing Hate Speech

2021 ◽  
Vol 13 (3) ◽  
pp. 80
Author(s):  
Lazaros Vrysis ◽  
Nikolaos Vryzas ◽  
Rigas Kotsakis ◽  
Theodora Saridou ◽  
Maria Matsiola ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Graphical User Interface ◽  
Hate Speech ◽  
Web Interface ◽  
Learning Models ◽  
Speech Detection ◽  
Media Services ◽  
The Web ◽  
Machine Learning Models

Social media services make it possible for an increasing number of people to express their opinion publicly. In this context, large amounts of hateful comments are published daily. The PHARM project aims at monitoring and modeling hate speech against refugees and migrants in Greece, Italy, and Spain. In this direction, a web interface for the creation and the query of a multi-source database containing hate speech-related content is implemented and evaluated. The selected sources include Twitter, YouTube, and Facebook comments and posts, as well as comments and articles from a selected list of websites. The interface allows users to search in the existing database, scrape social media using keywords, annotate records through a dedicated platform and contribute new content to the database. Furthermore, the functionality for hate speech detection and sentiment analysis of texts is provided, making use of novel methods and machine learning models. The interface can be accessed online with a graphical user interface compatible with modern internet browsers. For the evaluation of the interface, a multifactor questionnaire was formulated, targeting to record the users’ opinions about the web interface and the corresponding functionality.

Intelligent Sockets for Home Automation and Security

2019 ◽  
pp. 252-279
Author(s):  
Bharath V. N. ◽  
Adyanth H. ◽  
Shreekanth T. ◽  
Nalina Suresh ◽  
Ananya M. B.
Keyword(s):  
Machine Learning ◽  
Facial Recognition ◽  
Learning System ◽  
Current Sensor ◽  
Home Network ◽  
Home Automation ◽  
Web Interface ◽  
Software Updates ◽  
The Web ◽  
Manual Mode

The intelligent sockets are an advancement in approach to better the features and convenience offered by the existing switchboards. All updates to the board are done via a separately kept server for the web interface which connects to the home network. The features provided to the user can be bettered progressively via software updates. Features like timers which work in both automatic and manual mode, security aspect via surveillance and facial recognition, overload and usage logging with the help of the current sensor is provided. The data is also verified with the actual meter for accuracy and as a check for tampering. The data so gathered can also be used for prediction using machine learning. System first classifies various types of analog meters. Right now, the lbph classifier is trained to detect analog meter with needle and Analog meter with text readings.

Security Vulnerabilities, Threats, and Attacks in IoT and Big Data

2020 ◽  
pp. 141-167
Author(s):  
Prabha Selvaraj ◽  
Sumathi Doraikannan ◽  
Vijay Kumar Burugari
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Big Data Analytics ◽  
Cloud Services ◽  
Web Interface ◽  
Security Vulnerabilities ◽  
New Techniques ◽  
Iot Security ◽  
Web Interfaces ◽  
The Web

Big data and IoT has its impact on various areas like science, health, engineering, medicine, finance, business, and mainly, the society. Due to the growth in security intelligence, there is a requirement for new techniques which need big data and big data analytics. IoT security does not alone deal with the security of the device, but it also has to care about the web interfaces, cloud services, and other devices that interact with it. There are many techniques used for addressing challenges like privacy of individuals, inference, and aggregation, which makes it possible to re-identify individuals' even though they are removed from a dataset. It is understood that a few security vulnerabilities could lead to insecure web interface. This chapter discusses the challenges in security and how big data can be used for it. It also analyzes the various attacks and threat modeling in detail. Two case studies in two different areas are also discussed.

OO-H Method

2003 ◽  
pp. 144-173 ◽  
Author(s):  
Jaime Gomez ◽  
Cristina Cachero
Keyword(s):  
Software Engineering ◽  
Code Generation ◽  
Web Applications ◽  
Object Oriented ◽  
Generation Process ◽  
Interface Model ◽  
Web Interface ◽  
Web Environment ◽  
Technical Requirements ◽  
The Web

The mostly “creative” authoring process used to develop many Web applications during the last years has already proven unsuccessful to tackle, with its increasing complexity, both in terms of user and technical requirements. This fact has nurtured a mushrooming of proposals, most based on conceptual models, that aim at facilitating the development, maintenance and assessment of Web applications, thus improving the reliability of the Web development process. In this chapter, we will show how traditional software engineering approaches can be extended to deal with the Web idiosyncrasy, taking advantage of proven successful notation and techniques for common tasks, while adding models and constructs needed to capture the nuances of the Web environment. In this context, our proposal, the Object-Oriented Hypermedia (OO-H) Method, developed at University of Alicante, provides a set of new views that extend UML to provide a Web interface model. A code generation process is able to, departing from such diagrams and their associated tagged values, generate a Web interface capable of connecting to underlying business modules.

Building Trust in E-Commerce through Web Interface

2011 ◽  
pp. 1195-1205
Author(s):  
Muneesh Kumar ◽  
Mamta Sareen
Keyword(s):  
Economic Development ◽  
Human Development ◽  
Global Level ◽  
Web Interface ◽  
Web Interfaces ◽  
Number Of Factors ◽  
Online Trading ◽  
The Impact ◽  
Seller Relationship ◽  
The Web

The emergence of Internet has revolutionalized the way businesses are conducted. The impact of e-commerce is pervasive, both on companies and society as a whole. It has the potential to impact the pace of economic development and in turn influence the process of human development at the global level. However, the growth in e-commerce is being impaired by the issue of trust in the buyer-seller relationship which is arising due to the virtual nature of e-commerce environment. The online trading environment is constrained by a number of factors including web interface that in turn influences user experience. This article identifies various dimensions of web interface that have the potential to influence trust in e-commerce. The empirical evidence presented in the article is based on a survey of the web interfaces of 65 Indian e-Marketplaces.

scholarly journals Use of telephone and web interfaces of interactive response technology at clinical investigator sites in clinical trials

2019 ◽  
Vol 16 (3) ◽  
pp. 297-305
Author(s):  
Anna-Leena Saarela ◽  
Anja Walzer ◽  
Anne Mari Juppo
Keyword(s):  
Clinical Trials ◽  
Online Survey ◽  
Service Providers ◽  
Focal Point ◽  
Interactive Voice Response ◽  
End Users ◽  
Web Interface ◽  
Web Interfaces ◽  
Clinical Investigator ◽  
The Web

Background Interactive response technologies are used in clinical trials to provide services such as automated randomization and medication logistics management. The objective of this article is to investigate the usage of telephone (Interactive Voice Response) and web (Interactive Web Response) interfaces of interactive response technologies at clinical investigator sites in clinical trials, to obtain information about the preferences of interactive response technology end users between the telephone and web interfaces, and to explore the relevance of the telephone interface in this setting. Methods The data consist of an online survey conducted in spring 2016 with clinical investigators, study nurses, and pharmacists in 13 countries. Results Ninety-eight percent of survey respondents preferred the web interface over the telephone interface, the most important reason being superior usability. However, the respondents indicated the usability of interactive response technology interfaces is not optimal, and lack of integration and consistency across systems is common. A vast majority of interactive response technology end users at clinical sites prefer to use the web interface over the telephone interface, but most also feel there would need to be a back-up system. Conclusions Based on the results, it would be beneficial to improve the usability of the interactive response technology interfaces, and to increase consistency across systems from the current level. Support to and training of the users, as well as clarifying the responsibilities between sites and the sponsor should also be a focal point. Study sponsors should explore with interactive response technology service providers how removing the telephone interface would impact future studies, and whether there could be a more efficient means to achieve a reliable back-up to the web interface instead of a dedicated telephone interface.

scholarly journals The MG-RAST API explorer: an on-ramp for RESTful query composition

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Tobias Paczian ◽  
William L. Trimble ◽  
Wolfgang Gerlach ◽  
Travis Harrison ◽  
Andreas Wilke ◽  
...  
Keyword(s):  
Sequence Data ◽  
Web Interface ◽  
Function Data ◽  
Barrier To Entry ◽  
And Function ◽  
First Time ◽  
The Web

Abstract Background The MG-RAST API provides search capabilities and delivers organism and function data as well as raw or annotated sequence data via the web interface and its RESTful API. For casual users, however, RESTful APIs are hard to learn and work with. Results We created the graphical MG-RAST API explorer to help researchers more easily build and export API queries; understand the data abstractions and indices available in MG-RAST; and use the results presented in-browser for exploration, development, and debugging. Conclusions The API explorer lowers the barrier to entry for occasional or first-time MG-RAST API users.

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