Advanced Driver Assists and Safety Management System

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Dipti Chavan ◽  
Aniket Kamble ◽  
Aditya Khadsare ◽  
Vaibhav Chougule ◽  
Vaibhav Chougule
Keyword(s):  
Real Time ◽  
Automobile Industry ◽  
Safety Management ◽  
Public Utilities ◽  
Sensor Platform ◽  
Key Points ◽  
Different Types ◽  
Important Field ◽  
And Control ◽  
Web Platform

Electronics and communication is the most important field. In this paper, we can describe how much safety is in the Automobile industry. In this paper, we are using uno-Arduino. The different types of sensors facilities are also provided using key points. The different sensors are provided to check visitor count. In this system, we can monitor and control all the safety precautions their one IoT web platform. This helps in the proper utilization of drivers and helps in avoiding accidents. This paper can be implemented in any two-wheelers, heavily loaded trucks, small SUVs, compact cars. In our paper, the electronics machine/components will be automatically working with using of Arduino program. The proposed wireless sensor platform is an attempt to develop more safety devices that can be used in multiple areas such as homes, schools, and public utilities to reduce accidents. This Advanced Driver Assists system will provide real-time accident detections and monitoring usage information that helps in real-time by using GSM, GPS, and sensors.

Safety Management of Buildings and Structures

2018 ◽  
Vol 931 ◽  
pp. 1291-1294
Author(s):  
Valeriya A. Bobkina ◽  
N.G. Tsurkina
Keyword(s):  
Real Time ◽  
Safety Management ◽  
Technical Condition ◽  
Safe Operation ◽  
Emergency Situations ◽  
Real Time Mode ◽  
Current State ◽  
And Control ◽  
To Receive

In order to monitor the current state of buildings and structures effectively the author proposes development and maintenance of constantly updated electronic databases of buildings and structures to manage the safety of buildings and structures operation, which provides an opportunity to receive information on technical condition of the facility in real time mode, which allows increasing the effectiveness of buildings’ owners, operating organisations, state supervisory and control bodies for safe operation as well as simulates emergency situations and predicts the behaviour of structures with regard to their repair and reconstruction.

scholarly journals Applying ZigBee wireless sensor and control network for bridge safety monitoring

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401878739 ◽  
Author(s):  
Jin-Lian Lee ◽  
Yaw-Yauan Tyan ◽  
Ming-Hui Wen ◽  
Yun-Wu Wu
Keyword(s):  
Conceptual Framework ◽  
Real Time ◽  
Safety Management ◽  
Safety Information ◽  
Safety Monitoring ◽  
Wireless Sensor ◽  
Mobile Telecommunication ◽  
Smart Building ◽  
Bridge Safety ◽  
And Control

Internet technologies bring methods to help bridge safety management, to collect data or monitor conditions in real time, and to comprehensively record or analyze the collected data of on-site conditions in real time. In this study, the wireless sensor networks and smart building technologies are adopted to help the bridge safety information transmission and management. The study proposed a bridge safety–monitoring system conceptual framework by applying the ZigBee wireless sensor and control technology. The conceptual framework demonstrated by a prototype includes four major subsystems: (1) monitoring units; (2) photovoltaic units; (3) wireless communication system; and (4) bridge safety–monitoring server system. This system can monitor and analyze in real time the conditions of a bridge and its environment, including the waters levels nearby, pipelines, air, and other safety conditions. The detected data and images are transmitted to the server and database for users to have real-time monitoring of the bridge conditions via mobile telecommunication devices.

Microstructural investigation of surface roughness in MBE-grown AlAs

1995 ◽  
Vol 53 ◽  
pp. 454-455
Author(s):  
R. Rajesh ◽  
R. Droopad ◽  
C. H. Kuo ◽  
R. W. Carpenter ◽  
G. N. Maracas
Keyword(s):  
Thin Film ◽  
Real Time ◽  
Growth Control ◽  
Native Oxide ◽  
Effusion Cell ◽  
Surface Oxide Layer ◽  
Microstructural Investigation ◽  
Mbe Growth ◽  
Film Substrate ◽  
And Control

Knowledge of material pseudodielectric functions at MBE growth temperatures is essential for achieving in-situ, real time growth control. This allows us to accurately monitor and control thicknesses of the layers during growth. Undesired effusion cell temperature fluctuations during growth can thus be compensated for in real-time by spectroscopic ellipsometry. The accuracy in determining pseudodielectric functions is increased if one does not require applying a structure model to correct for the presence of an unknown surface layer such as a native oxide. Performing these measurements in an MBE reactor on as-grown material gives us this advantage. Thus, a simple three phase model (vacuum/thin film/substrate) can be used to obtain thin film data without uncertainties arising from a surface oxide layer of unknown composition and temperature dependence.In this study, we obtain the pseudodielectric functions of MBE-grown AlAs from growth temperature (650°C) to room temperature (30°C). The profile of the wavelength-dependent function from the ellipsometry data indicated a rough surface after growth of 0.5 μm of AlAs at a substrate temperature of 600°C, which is typical for MBE-growth of GaAs.

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

Knowledge and Awareness of Dengue Fever

2018 ◽  
pp. 219-222
Author(s):  
Y. Arockia Suganthi ◽  
Chitra K. ◽  
J. Magelin Mary
Keyword(s):  
Dengue Fever ◽  
Prevention And Control ◽  
Control Measures ◽  
Infection Transmission ◽  
Standard Guideline ◽  
The World ◽  
Different Types ◽  
Prevention And Control Measures ◽  
Dengue Prevention ◽  
And Control

Dengue fever is a painful mosquito-borne infection caused by different types of virus in various localities of the world. There is no particular medicine or vaccine to treat person suffering from dengue fever. Dengue viruses are transmitted by the bite of female Aedes (Ae) mosquitoes. Dengue fever viruses are mainly transmitted by Aedes which can be active in tropical or subtropical climates. Aedes Aegypti is the key step to avoid infection transmission to save millions of people in all over the world. This paper provides a standard guideline in the planning of dengue prevention and control measures. At the same time gives the priorities including clinical management and hospitalized dengue patients have to address essentially.

Real-time Worker Safety Management System Using Deep Learning-based Video Analysis Algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 25-30
Author(s):  
So Yeon Jeon ◽  
Jong Hwa Park ◽  
Sang Byung Youn ◽  
Young Soo Kim ◽  
Yong Sung Lee ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Video Analysis ◽  
Management System ◽  
Safety Management ◽  
Worker Safety ◽  
Safety Management System ◽  
Analysis Algorithm

Utility of Real-Time Whole Genome Sequencing in Partner Notification and Control of Neisseria gonorrhoeae Infection

2020 ◽  
Author(s):  
Ling Yuan Kong ◽  
Janet Wilson ◽  
Ines B. Moura ◽  
Warren Fawley ◽  
Laura Kelly ◽  
...  
Keyword(s):  
Neisseria Gonorrhoeae ◽  
Whole Genome Sequencing ◽  
Real Time ◽  
Genome Sequencing ◽  
Partner Notification ◽  
Whole Genome ◽  
And Control

Protecting Disaster Rescue and Recovery Workers

2017 ◽  
Author(s):  
Dori B. Reissman ◽  
Maryann M. D’Alessandro ◽  
Lisa Delaney ◽  
John Piacentino
Keyword(s):  
Safety Management ◽  
Healthcare Services ◽  
Medical Evaluation ◽  
Worker Education ◽  
Protection Strategies ◽  
Training Worker ◽  
Protective Strategies ◽  
Disaster Event ◽  
And Control ◽  
Diverse Groups

This chapter describes disaster worker protection strategies and health surveillance activities in terms of temporal phases to address disaster safety management before, during, and after a disaster event. The protective strategies discussed in the chapter integrate assessments of on-scene hazards and health or safety impacts and require pre-event planning and coordination across multiple entities. The chapter also addresses the integration of physical, psychological and behavioral health approaches. The chapter addresses the complexities of hazard assessment and control, worker education and training, worker illness and injury surveillance, and access to healthcare services, along with a box on community preparedness. These activities are performed by diverse groups of occupational and environmental health professionals. Various illustrative examples are presented to describe how basic concepts of protection and medical evaluation are applied in specific situations. The U.S. federal system for protecting disaster rescue and recovery workers is described in detail.

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