Road traffic accidents have, therefore, remained one of the persisting leading causes of public health burdens all over the world, involving millions of deaths and severe injuries annually. The traditional emergency response systems have remained stricken by delay problems in accident detection and notification; hence, the severity of the outcome for the accident victim is increased. One of the recent, novel solutions for the challenge of time delay in expediting the emergency response process is the Emergency Response Delay Management System (ERDMS)—a smartphone sensor and cloud-based communication recently proposed for this challenge. This paper will provide clear methods for identifying the key features of the ERDMS. It is divided into two major phases: accident detection, emergency response, and notification. ERDMS may thus easily detect an accident for necessary emergency response without delay since the smartphone uses sensors such as an accelerometer, GPS, and a microphone. The cloud-based communication platform ensures smooth coordination and informs the authorities and designated pre-selected contacts in the event of an accident. The main focus of ERDMS is on accessibility, and secondly, it is very cheap since it needs very little hardware and relies mostly on smartphone technology. By innovatively changing the way emergency responses are done and using user-centered design principles, the ERDMS bears the enormous potential to save countless lives by helping reduce critical delays in emergency response following road traffic accidents and hence improving road safety at large.

ERDMS: Bridging the Gap Between Accident Detection and Timely Medical Assistance

The researchers are focusing on harnessing the electricity form the renewable energy resources by overcoming the challenges faced by them due its variable nature. This study discusses the developing significance of renewable energy sources (RES), in particular wind and solar electricity, in meeting future electricity demands. India’s geographical length is highlighted as beneficial for integrating variable renewable energy outputs into its grid. The paper also addresses Power-quality (PQ) issues springing up from integrating renewable energy sources, proposing solutions including single and Unified active power filter (SUAPF) and distributed Static Compensators (DSTATCOM). The work examines power quality issues associated with grid-related solar PV systems and the combination of Unified Power Quality Conditioners (UPQCs) in hybrid solar-wind systems. The analysis of the UPQC integration with the solar wind energy based hybris system concludes the enhancement in the power quality issues such as total harmonic distortions along with balancing the reactive power in the line. 

Study on UPQC Integration Benefits in a Hybrid Solar Wind Energy System

This article shows that when an accident occurs, the time it takes for an emergency medical facility to be established and put into operation has a significant influence on the survival of the victim. Reducing accident scene time is considered by medical professionals to reduce mortality. Emergency responders can be alerted to disasters using the Raspberry Pi-based accident identification system. This helps to shorten response times. The vibration sensor detects the error and then sends the prepared message to the right person. It is important to know what happened and who was involved in an accident in order to send appropriate information to emergency responders. It is possible to get precise latitude and longitude positions for satellites if GPS is first used in this way. In order for the GSM device to start tracking the vehicle, need to send a message to it. The Raspberry Pi controller's vibration sensor can also be used to identify faults.

Implementation of Smart Vehicle Accident Detection using Raspberry PI in Smart Cities

Livelihood process is influenced by various factors and the socio economic factors are becoming critical these days. In this research study that influence will be discusses in various that have been divided. The first part is the introductory part here the brief background about the topic have been provided the importance of this research along with the research aims and objectives. After the introductory the methodology and material section have been explained where the way data have been collected and the way data have been analysis have been explained briefly. Secondary data have been taken for this research and it have been analysed with the by thematic analysis by preparing themes. The next part is the results part here the detailed rationale have been provided regarding the research topic it includes four graph that have been aligned with the research topic. The graph includes the globally energy consumption, global renewable energy supplier and global GDP growth rate. The GDP growth rate and the GDP size graph aims to provide how the energy production affects the livelihoods of different countries. The results part a brief discussion part has been covering the useful finding and all the important points that have been covered in the results part have been explained thoroughly. Finally, this study has been concluded with the conclusion part where the whole discussion has been concluded. Keyword : Globally, livelihood, Renewable energy, and socio-economic.

/pdf/the-socio-economic-influence-on-the-livelihood-process-of-20vlhnfp.pdf

The Socio Economic Influence on the Livelihood Process of Recent Days Societies through the Production of Various Energy Sources

When an accident occurs, the time it takes for an emergency medical facility to be established and operational has a significant impact on a victim’s survival. Reduce the time it takes for an accident scene to be examined by a medical professional to reduce the death rate. Emergency responders can be alerted to a disaster by using a Raspberry Pi-based accident identification system. This helps to shorten response times. Vibration sensors detect errors and then send a prepared message to the right people. It’s important to know what happened and who was involved in an accident in order to send the appropriate information to emergency responders. It is possible to get accurate longitude and latitude positions for satellites if the first GPS is used in this manner. To get the GSM device to start following the car, you must send it a message. The Raspberry Pi controller’s vibration sensor can also be used to identify the error. A pre-programmed emergency server receives every GSM emergency call, no matter where the caller is located.

An Accident Identification and Alerting System by Using Raspberry Pi

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Implementation of Smart Vehicle Accident Detection using Raspberry PI in Smart Cities

The Socio Economic Influence on the Livelihood Process of Recent Days Societies through the Production of Various Energy Sources

An Accident Identification and Alerting System by Using Raspberry Pi