scholarly journals Preventive Path to Control Fire Accident in Firework Industry using Iot

2020 ◽  
Vol 9 (3) ◽  
pp. 414-417
Keyword(s):  
Real Time ◽  
Chemical Control ◽  
Human Life ◽  
Preventive Measure ◽  
The Real ◽  
Higher Temperature ◽  
Fire Accident

The Surveillance and the ongoing examination on Fire work mishaps are just arrangements with the manual preventions, mindfulness and how to keep away from the mishaps during the assembling procedure of wellbeing matches and fireworks. Dangerous mishaps happen frequently, resulting in overwhelming misfortunes of human lives and wounds to laborers. The fundamental driver of Fire mishaps is from Gun Powder. In this Gunpowder not just explosives at the time of higher temperature which additionally obliterated the whole things underneath the referenced temperature. The preventive measure on this surveillance bargains and suggested that the temperature, smoke caution sensor is bolstered to the laborers keep away from heavier harms. The proposed work enhances the preventive system through, advanced IoT based sensors which is deployed on the field to monitor and prevent the real time mishaps. The framework clearly identifies the Automated Chemical Manager (ACM) to balance chemical control activities and threshold limits to avoid the possibility of accidents in the firework industries. The timely alarm through this smart preventive system will avoid the loss of human life and frequent accidents in the firework industry.

The Design of Remote Monitoring System of PM2.5 Air Quality Based on ARM-M3 Ethernet

2014 ◽  
Vol 926-930 ◽  
pp. 2143-2146
Author(s):  
Xiu Wei Fu ◽  
Li Fu ◽  
Jing Li
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Human Life ◽  
The Real ◽  
Remote Monitoring System ◽  
Testing Data ◽  
Quality Testing ◽  
Real Time Detection

Human life and work are affected by PM2.5, so it is very necessary to get the real-time detection of PM2.5 every day. Remote monitoring is achieved by the LM3S8962 with Ethernet module as control core, and then the detect signals about PM2.5 air quality are transmitted by Ethernet communications. It has been proved by our experiment that Air quality testing data can be obtained in real time by experiments. It can be conclusion that the data of experimental is right by comparing.

scholarly journals Smart Authentication and Secured Engine Unlocking System for Automobiles

2021 ◽  
pp. 653-659
Author(s):  
Bhargava R ◽  
Amulya H C ◽  
Jyothi K P ◽  
Keerthana R
Keyword(s):  
Real Time ◽  
Human Life ◽  
Security System ◽  
Raspberry Pi ◽  
Biometric Authentication ◽  
Servo Motor ◽  
Smart System ◽  
The Real ◽  
Alert Message ◽  
Vehicle Security

As human life started to evolve on this earth, the craving for smart automobiles has increased, and adding a vehicle security system to secure the automobile from theft in parking and in unsecured places is important. This paper proposes the design and development of smart system to prevent theft that uses biometric authentication to access the door and to start the engine of the automobile. This system initially uses the fingerprint module that takes the real time fingerprint of a person trying to open the vehicle door and compares it with the authorized person’s fingerprint and then allows or denies the access to door, and secondly the camera takes the image of a person trying to start the engine and compares with the authorized person’s image to allow or deny the access to the engine. In case of detection of unauthorized fingerprint, the GSM module sends the message to the owner and in case unauthorized person detected by camera it sends the captured image with alert message to owner. The system is developed using raspberry pi, GSM module, fingerprint module, pi camera, dc and servo motor.

scholarly journals Real-Time Cloud-Based Health Tracking and Monitoring System in Designed Boundary for Cardiology Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Aamir Shahzad ◽  
Yang Sun Lee ◽  
Malrey Lee ◽  
Young-Gab Kim ◽  
Naixue Xiong
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Medical Information ◽  
Human Life ◽  
Pressure Sensors ◽  
Cellular Systems ◽  
Medical Systems ◽  
Private Cloud ◽  
The Real ◽  
Medical Wards

Telemonitoring is not a new term, in information technology (IT), which has been employed to remotely monitor the health of patients that are located not in common places, such hospitals or medical centers. For that, wearable medical sensors, such as electrocardiography sensors, blood pressure sensors, and glucometer, have commonly been used to make possible to acquire the real-time information from the remotely located patients; therefore, the medical information is further carried, via the Internet, to perform medical diagnosis and the corresponding treatments. Like in other IT sectors, there has been tremendous progress accounted in medical sectors (and in telemonitoring systems) that changes the human life protection against several chronic diseases, and the patient’s medical information can be accessed wirelessly via Wi-Fi and cellular systems. Further, with the advents of cloud computing technology, medical systems are now more efficient and scalable in processing, such as storage and access, the medical information with minimal development costs. This study is also a piece of enhancement made to track and monitor the real-time medical information, bounded in authorized area, through the modeling of private cloud computing. The private cloud-based environment is designed, for patient health monitoring called bounded telemonitoring system, to acquire the real-time medical information of patients that resided in the boundary, inside medical wards and outside medical wards, of the medical center. A new wireless sensor network scenario is designed and modeled to keep or monitor the patients’ health information whole day, 24 hours. This research is a new secured sight towards medical information access and gives directions for future developments in the medical systems.

scholarly journals Machine Learning for Healthcare Diagnostics

2019 ◽  
Vol 8 (6S2) ◽  
pp. 999-1001
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Real Time ◽  
Genetic Disease ◽  
World Wide ◽  
Early Stage ◽  
Human Life ◽  
The Real ◽  
Initial Stage

Presently machine learning and artificial intelligence is playing one of the most important role in diagnose many genetic and non genetic disease. So that the rapid inventions in machine learning can save thousands of life’s as it can diagnose the early stage of many serious diseases. In this research the datasets for such diseases is studied and it will be analyzed that how such deep machine learning will impact to a human life. The problem with such methodology is that it is not possible to get accurate results in the initial stage of research. The reason is every human have different immunity power and stamina. There are many diagnostics center who are fully dependent on the equipments which are fully based on machine learning. In order to boost this process it is necessary to collect the real time patient’s data from different hospitals, states and countries. So that it will be beneficial for world wide.

scholarly journals Development of a web platform for COVID-19 integrated care: an experience from an Italian Region

2021 ◽  
Vol 31 (Supplement_3) ◽  
Author(s):  
G Di Martino ◽  
R Di Biagio ◽  
G Soldato ◽  
J Del Papa ◽  
I Porfilio ◽  
...  
Keyword(s):  
Public Health ◽  
Integrated Care ◽  
Real Time ◽  
Preventive Measure ◽  
Population Level ◽  
Local Health Authority ◽  
Local Health ◽  
The Real ◽  
Web Platform ◽  
Time Evaluation

Abstract Issue After the announcement of Public Health Emergency of International Concern about COVID19 by WHO, health authorities need to implement strategies to face the emergency. These responses included early diagnosis, patient isolation, quarantine and symptomatic monitoring of contacts. In this context, integrated care and telemedicine are the best instruments for COVID management. Description of the problem The COVID19 epidemic needs a real time integration of epidemiological, clinical and laboratoristic data, in order to better manage patients and to improve public health surveillance. Based on a tool previosly used by GPs for flu vaccination and diabetes integrated care, the Local Health Authority of Pescara, Abruzzo Region, Italy, developed a web-based platform (QuickwebConnect), accessible to public health practitioners (PHP), GPs, infectious diseases physicians and laboratories, in order to integrate information about COVID19 patients. This platform contain individual-level information on patients with laboratory-confirmed COVID19, symptoms, reported onset dates, and basic demographics. Information are in real time accessible to all actors involved in the process. In addition, GPs can use this tool to directly book diagnostic tests for symptomatic or suspected patients. Results With the use of this platform, the management of pandemic emergency was improved, allowing direct management of epidemic data both at person and population level. The real time evaluation of clinical and epidemiological data improved patients care, clinical survellance of COVID19 contacts and development of tailored preventive measure in areas with high incidence. Lessons COVID19 patients care need to be quick, needing the integrate support of different actors. In addition, public health actions have to be supported by strong data. The use of a cost-effective web platform allow physician and PHP to better manage patiens and develope focused interventions. Key messages Integrated care and telemedicine are best instruments for COVID management. The real time evaluation of data aimed to develop tailored preventive measure.

scholarly journals Implementation of ISO Check For Early Failure Detection in Vehicle Design Using FPGA

2021 ◽  
Vol 12 (6) ◽  
pp. 1792-1802
Author(s):  
B. Thiyaneswaran Et al.
Keyword(s):  
Real Time ◽  
Automotive Industry ◽  
Preventive Measure ◽  
Emergency Situation ◽  
Failure Detection ◽  
Vehicle Design ◽  
Production Loss ◽  
Model Checker ◽  
Early Failure ◽  
The Real

To be more concerned with the fatal cause during the real time experiences in automotive industry in the ECU failures, it shall be a preventive measure to detect the failure of the ECU’s at the probation period of modelling it. MATLAB, the tool used for designing the ECU’s would be useful also to check this with the help of its inbuilt tool called MODEL ADVISOR. With the m-script, we can use to customize the rules for which there might be the reason for failure. Some of the model level failures are detected using this model checker tool. Before we dump the code into FPGA or an ECU, the code level failures can be detected via polyspace, which is also a tool by MATLAB. With this earlier detection of failures before dumping the code into ECU, this saves the lives of many people during the emergency situation when there is a possibility of failure of ECU. Also production loss of the component can be reduced along with this the standardized product can be released, so that it would be the safe for use.

scholarly journals Intelligent system of airspace surveillance and security in the real time

2018 ◽  
Vol 2018 (9) ◽  
pp. 1-7
Author(s):  
Anita Linka ◽  
Agnieszka Wróblewska
Keyword(s):  
Real Time ◽  
Intelligent Systems ◽  
Human Factor ◽  
New Technologies ◽  
Intelligent System ◽  
Human Life ◽  
The Real ◽  
Weakest Link ◽  
Intelligent Technology ◽  
Support Work

New technologies are more and more often used to increase the level of securing humans work as well as many processes from various areas of industry or transport. Intelligent systems not only support work while optimizing it, but also minimize the risk of dangerous situations for human life. It is the man who is still considered the weakest link in most processes, and it is the human factor that causes many accidents and disasters. Therefore, its activities should be controlled at every stage of the task being performed. This publication describes the use of intelligent technology in the process of training pilots and performing aerobatics.

The Real-Time Neural Genesis of a Punchline

2014 ◽  
Author(s):  
Irving Biederman ◽  
Ori Amir
Keyword(s):  
Real Time ◽  
The Real

Real-Time System for Sending Data from Three Clients to One Server with MATLAB

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Information System ◽  
Real Time ◽  
Time System ◽  
Real Time System ◽  
The Real ◽  
Performance Time ◽  
Data Process ◽  
Effectiveness And Efficiency

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.

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