scholarly journals FORMATION OF A PERSONNEL DETECTION SYSTEM IN SMOKE-FILLED PREMISES BASED ON BIOMETRIC ACCESS SYSTEMS

2020 ◽  
Vol 6 (444) ◽  
pp. 177-185
Author(s):  
H. T. Nguyen ◽  
◽  
N. G. Topolsky ◽  
T. A. Le ◽  
A. V. Mokshantsev ◽  
...  
Keyword(s):  
At Risk ◽  
Distribution System ◽  
Emergency Services ◽  
Detection System ◽  
Practical Significance ◽  
Trade Secrets ◽  
Conditional Access ◽  
Emergency Situations ◽  
Structural Integration

In modern organisations, personnel are not at their workplace permanently and, accordingly, in case of emergency, they are at risk. There are a number of situations in which the access of even emergency services to the premises is very difficult to organise due to the regime of secrecy and the desire to preserve trade secrets. Additionally, the system of restricting the movement of workers in their places can be very limited on the part of management in order to maintain production discipline. The novelty of the study is determined by the fact that when using the detection system in case of fire or other emergency, its integration with the access verification and distribution system can be based on the use of integrated access systems. The authors show that the use of conditional access systems makes it possible to get employee lists at a faster pace and identify threats if certain technological complexes are used in their work. The practical significance of the study is determined primarily by the necessity for structural integration between conditional access systems and systems for recording and forecasting actions in emergency situations. It is proposed to use a model that allows to eliminate such differences.

IMPLEMENTATIONS EMERGENCY RESPONSE SYSTEM IN CASE OF ACCIDENTS AND EMERGENCY SITUATIONS (ERA-GLONASS) FOR CARS AND TRUCKS IN UZBEKISTAN

2020 ◽  
Author(s):  
Akmal Rustamov
Keyword(s):  
Emergency Response ◽  
Call Center ◽  
Emergency Services ◽  
Main Idea ◽  
Emergency Situation ◽  
High Mountain ◽  
Additional Information ◽  
Emergency Situations ◽  
Emergency Response System ◽  
Response System

The paper addresses the problem of increasing transportation safety due to usage of new possibilities provided by modern technologies. The proposed approach extends such systems as ERA-GLONASS and eCall via service network composition enabling not only transmitting additional information but also information fusion for defining required emergency means as well as planning for a whole emergency response operation. The main idea of the approach is to model the cyber physical human system components by sets of services representing them. The services are provided with the capability of self- contextualization to autonomously adapt their behaviors to the context of the car-driver system. The approach is illustrated via an accident emergency situation response scenario. “ERA-GLONASS” is the Russian state emergency response system for accidents, aimed at improving road safety and reducing the death rate from accidents by reducing the time for warning emergency services. In fact, this is a partially copied European e Call system with some differences in the data being transmitted and partly backward compatible with the European parent. The principle of the system is quite simple and logical: in the event of an accident, the module built into the car in fully automatic mode and without human intervention determines the severity of the accident, determines the vehicle’s location via GLONASS or GPS, establishes connection with the system infrastructure and in accordance with the protocol, transfers the necessary data on the accident (a certain distress signal). Having received the distress signal, the employee of the call center of the system operator should call the on-board device and find out what happened. If no one answers, send the received data to Sistema-112 and send it to the exact coordinates of the team of rescuers and doctors, and the last one to arrive at the place is given 20 minutes. And all this, I repeat, without the participation of a person: even if people caught in an accident will not be able to independently call emergency services, the data on the accident will still be transferred. In this work intended to add some information about applying system project in Uzbek Roads especially mountain regions like “Kamchik” pass. The Kamchik Pass is a high mountain pass at an elevation of 2.306 m above the sea level, located in the Qurama Mountains in eastern Uzbekistan and its length is about 88km.The road to reach the pass is asphalted, but there are rough sections where the asphalt has disappeared. It’s called A373. The old road over the pass was by passed by a tunnel built in 1999. On the horizon, the snow-capped peaks of the Fan Mountains come into view. The pass is located in the Fergana Valley between the Tashkent and Namangan Regions.

Image detection and parameterization for different components in cross-sections of radial tires

2021 ◽  
pp. 095440702110236
Author(s):  
Chen Liu ◽  
Yude Dong ◽  
Yanli Wei ◽  
Jiangtao Wang ◽  
Hongling Li
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Cross Sections ◽  
Digital Image ◽  
Detection Method ◽  
Detection System ◽  
Practical Significance ◽  
Vehicle Safety ◽  
Wire Steel ◽  
Good Detection

The internal structure analysis of radial tires is of great significance to improve vehicle safety and during tire research. In order to perform the digital analysis and detection of the internal composition in radial tire cross-sections, a detection method based on digital image processing was proposed. The research was carried out as follows: (a) the distribution detection and parametric analysis of the bead wire, steel belt, and carcass in the tire section were performed by means of digital image processing, connected domain extraction, and Hough transform; (b) using the angle of location distribution and area relationship, the detection data were optimized through coordinate and quantity relationship constraints; (c) a detection system for tire cross-section components was designed using the MATLAB platform. Our experimental results showed that this method displayed a good detection performance, and important practical significance for the research and manufacture of tires.

scholarly journals Modeling the City Distribution System Reliability with Bayesian Networks to Identify Influence Factors

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Hao Zhang ◽  
Liyu Zhu ◽  
Shensi Xu
Keyword(s):  
Bayesian Networks ◽  
Bayesian Network ◽  
System Reliability ◽  
Distribution System ◽  
Complex Problem ◽  
Practical Significance ◽  
Correlation Degree ◽  
Urban Distribution ◽  
Distribution System Reliability ◽  
The City

Under the increasingly uncertain economic environment, the research on the reliability of urban distribution system has great practical significance for the integration of logistics and supply chain resources. This paper summarizes the factors that affect the city logistics distribution system. Starting from the research of factors that influence the reliability of city distribution system, further construction of city distribution system reliability influence model is built based on Bayesian networks. The complex problem is simplified by using the sub-Bayesian network, and an example is analyzed. In the calculation process, we combined the traditional Bayesian algorithm and the Expectation Maximization (EM) algorithm, which made the Bayesian model able to lay a more accurate foundation. The results show that the Bayesian network can accurately reflect the dynamic relationship among the factors affecting the reliability of urban distribution system. Moreover, by changing the prior probability of the node of the cause, the correlation degree between the variables that affect the successful distribution can be calculated. The results have significant practical significance on improving the quality of distribution, the level of distribution, and the efficiency of enterprises.

LORE: a model for the detection of fine-grained locative references in tweets

2021 ◽  
Author(s):  
Nicolás José Fernández-Martínez ◽  
◽  
Carlos Periñán-Pascual ◽  
Keyword(s):  
Emergency Services ◽  
Situational Awareness ◽  
State Of The Art ◽  
Detection System ◽  
Linguistic Knowledge ◽  
Terrorist Attacks ◽  
Fine Grained ◽  
Points Of Interest ◽  
Car Accidents ◽  
Location Detection

Extracting geospatially rich knowledge from tweets is of utmost importance for location-based systems in emergency services to raise situational awareness about a given crisis-related incident, such as earthquakes, floods, car accidents, terrorist attacks, shooting attacks, etc. The problem is that the majority of tweets are not geotagged, so we need to resort to the messages in the search of geospatial evidence. In this context, we present LORE, a location-detection system for tweets that leverages the geographic database GeoNames together with linguistic knowledge through NLP techniques. One of the main contributions of this model is to capture fine-grained complex locative references, ranging from geopolitical entities and natural geographic references to points of interest and traffic ways. LORE outperforms state-of-the-art open-source location-extraction systems (i.e. Stanford NER, spaCy, NLTK and OpenNLP), achieving an unprecedented trade-off between precision and recall. Therefore, our model provides not only a quantitative advantage over other well-known systems in terms of performance but also a qualitative advantage in terms of the diversity and semantic granularity of the locative references extracted from the tweets.

Bullwhip Effect – Logistic Stability Examination in Serial and Arborescent Topologies with Demand Uncertainty and Delay

2021 ◽  
Vol 1 (1) ◽  
pp. 68-80
Author(s):  
Adam Dziomdziora ◽  
Przemysław Ignaciuk
Keyword(s):  
Distribution System ◽  
Demand Uncertainty ◽  
Bullwhip Effect ◽  
Operating Conditions ◽  
Practical Significance ◽  
Transport Delay ◽  
Numerical Tests ◽  
The Face ◽  
Stability Examination ◽  
Basic Configuration

The paper analyzes the formation of the bullwhip effect in logistic systems as a significant threat to preserving stability in the face of non-negligible goods transport delay and uncertainty of demand and stock records. The popular order-up-to policy is selected as the method governing the goods flow. A dynamic model of entity interaction is constructed and examined, first, analytically, then in numerical tests for various scenarios of practical significance, e.g., a supply chain with external and local demand signals or real-world European goods distribution system. It has been found that the order-up-to policy does not trigger the bullwhip effect despite the delays in the goods delivery in the nominal operating conditions in supply chains. However, in networked environments, even the basic configuration triggers the bullwhip effect.

scholarly journals Psychological training of fire service employees

2022 ◽  
Vol 6 (4) ◽  
pp. 379-386
Author(s):  
G. I. Savina ◽  
Yu. V. Kalegina
Keyword(s):  
Training Programs ◽  
Fire Service ◽  
Stress Factors ◽  
Practical Significance ◽  
Training Center ◽  
Service Employees ◽  
Emergency Situations ◽  
Psychological Service ◽  
Professional Stress ◽  
Chelyabinsk Region

 The problem of premature professional burnout among employees, including firefighters is of scientific and practical significance. The article describes the nature and types of professional stress, as well as activities of the Training Center of the Federal Fire Service in Chelyabinsk Region. It aims to identify guidelines in the normative labor functions of rescuers of the Ministry of Emergency Situations of Russia and firefighters for training programs to prepare fire service employees for stressful activities. To achieve this goal, labor functions of rescuers of the Ministry of Emergency Situations of Russia and firefighters were analyzed; training programs developed by the Training Center of the Federal Fire Service in Chelyabinsk region were assessed. The methods of comparative analysis and conversation with experts were used to identify pedagogical aspects of labor functions of fire service employees associated with their willingness to work under stress. The article established a relationship between the training programs and the development of readiness to perform labor functions under stress. The condition required for the training program to be efficient was determined. It involves attracting the psychological service of the Ministry of Emergency Situations to hold methodical meetings and seminars. The positive result of this training is an adequate response to stress factors. The research results may be used by teachers of training centers and universities and methodologists.

Voltage Instability Detection Using Neural Networks

2011 ◽  
pp. 1596-1602
Author(s):  
Adnan Khashman ◽  
Kadri Buruncuk ◽  
Samir Jabr
Keyword(s):  
Neural Networks ◽  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Detection System ◽  
Nonlinear Problems ◽  
Voltage Instability ◽  
Voltage Output

The explosive growth in decision-support systems over the past 30 years has yielded numerous “intelligent” systems that have often produced less-than-stellar results (Michalewicz Z. et al., 2005). The increasing trend in developing intelligent systems based on neural networks is attributed to their capability of learning nonlinear problems offline with selective training, which can lead to sufficiently accurate online response. Artificial neural networks have been used to solve many problems obtaining outstanding results in various application areas such as power systems. Power systems applications can benefit from such intelligent systems; particularly for voltage stabilization, where voltage instability in power distribution systems could lead to voltage collapse and thus power blackouts. This article presents an intelligent system which detects voltage instability and classifies voltage output of an assumed power distribution system (PDS) as: stable, unstable or overload. The novelty of our work is the use of voltage output images as the input patterns to the neural network for training and generalizing purposes, thus providing a faster instability detection system that simulates a trained operator controlling and monitoring the 3-phase voltage output of the simulated PDS.

scholarly journals (P2-22) Proposed Model for Cellular Medical Record in Emergency Medicine

2011 ◽  
Vol 26 (S1) ◽  
pp. s142-s142
Author(s):  
N. Friedman ◽  
A. Goldberg
Keyword(s):  
Emergency Medicine ◽  
Medical Record ◽  
Emergency Services ◽  
Health Condition ◽  
Clinical Parameters ◽  
Emergency Situations ◽  
Life Saving ◽  
Proposed Model ◽  
Communication Methods ◽  
Conceptual Revolution

IntroductionIn a hypothetical situation, an emergency services team is launched to treat a man who collapsed in the street. The team finds John Doe's mobile phone, and within seconds retrieves the required clinical parameters from his Mobile Medical Record (MMR), thus, providing a life-saving treatment suited to his personal health condition. This study seeks to determine if the necessary clinical parameters, required at emergency situations have ever been examined in order to best match both emergency situations and cellular technology.ObjectiveTo characterize the clinical parameters that make up an MMR in the context of saving lives, and to propose a model for an MMR in emergency medicine.MethodsThe essential emergency medicine clinical parameters in the context of life-saving treatments were characterized through interviews with prehospital and hospital experts in emergency medicine. The results were analyzed with the help of a cellular multimedia expert in order to best incorporate the clinical parameters into cellular phones as MMRs.ConclusionEmergency medicine teams chose individual and specific clinical parameters in a certain order of appearance from the general medical record that should assembly, in their opinion, an emergency medicine MMR. A MMR was chosen by the emergency medicine treatment teams as one of their preferred communication methods. The MMR model, if applied correctly, will provide the emergency medicine treatment teams an available, reliable, homogeneous database of real time clinical parameters adapted to life-saving conditions. The MMR model represents a conceptual revolution of taking the medical record from the caregiver and transferring it to the patient, which can be constantly at hand at any given time or place in their mobile phones.

scholarly journals Sustainable and Resilient Smart House Using the Internal Combustion Engine of Plug-in Hybrid Electric Vehicles

2020 ◽  
Vol 12 (15) ◽  
pp. 6046
Author(s):  
Ahad Abessi ◽  
Elham Shirazi ◽  
Shahram Jadid ◽  
Miadreza Shafie-khah
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
Distribution Systems ◽  
Hybrid Electric Vehicles ◽  
Combustion Engine ◽  
Power Outage ◽  
Vehicle To Grid ◽  
Emergency Situations ◽  
Smart House ◽  
Hybrid Electric

Nowadays, due to the increasing number of disasters, improving distribution system resiliency is a new challenging issue for researchers. One of the main methods for improving the resiliency in distribution systems is to supply critical loads after disasters during the power outage and before system restorations. In this paper, a “Sustainable and resilient smart house” is introduced for the first time by using plug-in hybrid electric vehicles (PHEVs). PHEVs have the ability to use their fuel for generating electricity in emergency situations as the Vehicle to Grid (V2G) scheme. This ability, besides smart house control management, provides an opportunity for distribution system operators to use their extra energy for supplying a critical load in the system. The proposed control strategy in this paper is dedicated to a short duration power outage, which includes a large percent of the events. Then, improvement of the resiliency of distribution systems is investigated through supplying smart residential customers and injecting extra power to the main grid. A novel formulation is proposed for increasing the injected power of the smart house to the main grid using PHEVs. The effectiveness of the proposed method in increasing power injection during power outages is shown in simulation results.

(P2-30) Development of Disaster and Emergency Medicine in Nepal

2011 ◽  
Vol 26 (S1) ◽  
pp. s145-s145
Author(s):  
R.K. Maharjan
Keyword(s):  
Emergency Medicine ◽  
Disaster Response ◽  
Emergency Services ◽  
Service Providers ◽  
Research Training ◽  
University Teaching ◽  
International Institute ◽  
Institute Of Medicine ◽  
Emergency Situations ◽  
National Stadium

Nepal, a landlocked country between China and India, is developing disaster and emergency medicine. In 2007, the Nepal Disaster and Emergency Medicine (NADEM) Center was formed with the aim of developing this specialty in Nepal. The first hospital was built in July 1889. It wasn't until 1988 that a Disaster Response Team was organized following a stampede incident in the national stadium in Kathmandu. The country often experiences disaster and emergency situations due to geographic and natural hazards and political tensions.In 1984, the Institute of Medicine, Tribhuvan University Teaching Hospital created emergency services with general practitioners (GPs) directing and providing services. Since then, almost all emergency services of different hospitals are run by GPs with house officers, nurses, and paramedics. There still is a lack of training and proper management, and limited equipment and infrastructure to provide needed disaster and emergency services to the people. The NADEM Center is developing coordination objectives between different emergency service providers to organize ways of service providing. This will be done through NADEM's continuing medical education and publication of Journal of Nepal Disaster and Emergency Medicine (J-NADEM) and NewsHealth; coordination among emergency medical services (prehospital), in-hospital services, and disaster and critical care medicine; and planning and implementation of different research, training, workshops, seminars, and conferences in disaster and emergency medicine with cooperation from the world. The NADEM Center will develop International Institute of Disaster and Emergency Medicine.

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