scholarly journals Estimation of Oxygen Cylinder Availability and Classification of Its Types, Suitability Using Machine Learning and Data Analysis

2021 ◽  
Author(s):  
Anurag Sinha
Keyword(s):  
Pressure Sensor ◽  
Clinical Use ◽  
Outlet Nozzle ◽  
Safety Measures ◽  
Advantages And Disadvantages ◽  
Monitoring Technique ◽  
Oxygen Treatment ◽  
Oxygen Gas ◽  
Level Monitoring

This is break direction on oxygen sources and conveyance methodologies for COVID-19 treatment. It has been adjusted from WHO and UNICEF's specialized details and direction for oxygen treatment gadgets, which is important for the WHO clinical gadget specialized arrangement, 1 and depends on current information on the circumstance in China and different nations where cases have been distinguished. This direction is proposed for wellbeing office chairmen, clinical leaders, acquisition officials, arranging officials, biomedical architects, foundation engineers and strategy producers. It portrays how to: measure oxygen interest, to distinguish oxygen sources that are accessible, and select suitable flood sources to best react to COVID-19 patients' requirements, particularly in low-and-center pay nations. WHO will refresh these suggestions as new data opens up. Coronavirus pandemic spurred fake interest for oxygen gas chambers for clinical use - both at emergency clinics and inquisitively, for home use by patients. A few patients and surprisingly sound people investigate the conceivable outcomes and likely benefits of utilizing oxygen from chambers for private utilization. Be that as it may, this isn't continuously protected, and sufficient safety measures are to be taken, bombing which there can be fatalities. This paper investigates the significance of keeping up satisfactory degrees of oxygen levels appropriate for human utilization. It advises the clinical use and the advantages and disadvantages of putting away oxygen chambers at home. The investigation likewise addresses lawful and administrative perspectives. The investigation's discoveries can help people settle on an educated choice on the protected use regarding oxygen gas. Further, it cautions on the expanded significance of guidelines and limiting access and use. This paper aims at designing an oxygen level monitoring technique in an oxygen cylinder. The amount of oxygen present inside the oxygen cylinder is very vital information when such cylinder is in use for supply of oxygen to a critical patient. The amount of oxygen present inside the cylinder is measured by the pressure at the outlet nozzle. The pressure is measured using a high precision MEMS Pressure Sensor. The output of the MEMS pressure sensor is voltage of the order milli. An amplifier is used to amplify this milli volt signal. A microcontroller is used in cascade to process the signal and display the pressure of oxygen cylinder.

scholarly journals Estimation of Oxygen Cylinder Availability and Classification of Its Types, Suitability Using Machine Learning and Data Analysis

2021 ◽  
Author(s):  
Anurag Sinha
Keyword(s):  
Pressure Sensor ◽  
Clinical Use ◽  
Outlet Nozzle ◽  
Safety Measures ◽  
Advantages And Disadvantages ◽  
Monitoring Technique ◽  
Oxygen Treatment ◽  
Oxygen Gas ◽  
Level Monitoring

This is break direction on oxygen sources and conveyance methodologies for COVID-19 treatment. It has been adjusted from WHO and UNICEF's specialized details and direction for oxygen treatment gadgets, which is important for the WHO clinical gadget specialized arrangement, 1 and depends on current information on the circumstance in China and different nations where cases have been distinguished. This direction is proposed for wellbeing office chairmen, clinical leaders, acquisition officials, arranging officials, biomedical architects, foundation engineers and strategy producers. It portrays how to: measure oxygen interest, to distinguish oxygen sources that are accessible, and select suitable flood sources to best react to COVID-19 patients' requirements, particularly in low-and-center pay nations. WHO will refresh these suggestions as new data opens up. Coronavirus pandemic spurred fake interest for oxygen gas chambers for clinical use - both at emergency clinics and inquisitively, for home use by patients. A few patients and surprisingly sound people investigate the conceivable outcomes and likely benefits of utilizing oxygen from chambers for private utilization. Be that as it may, this isn't continuously protected, and sufficient safety measures are to be taken, bombing which there can be fatalities. This paper investigates the significance of keeping up satisfactory degrees of oxygen levels appropriate for human utilization. It advises the clinical use and the advantages and disadvantages of putting away oxygen chambers at home. The investigation likewise addresses lawful and administrative perspectives. The investigation's discoveries can help people settle on an educated choice on the protected use regarding oxygen gas. Further, it cautions on the expanded significance of guidelines and limiting access and use. This paper aims at designing an oxygen level monitoring technique in an oxygen cylinder. The amount of oxygen present inside the oxygen cylinder is very vital information when such cylinder is in use for supply of oxygen to a critical patient. The amount of oxygen present inside the cylinder is measured by the pressure at the outlet nozzle. The pressure is measured using a high precision MEMS Pressure Sensor. The output of the MEMS pressure sensor is voltage of the order milli. An amplifier is used to amplify this milli volt signal. A microcontroller is used in cascade to process the signal and display the pressure of oxygen cylinder.

Comparison of Alcohol Use Disorders in DSM and ICD

2020 ◽  
Vol 66 (3) ◽  
pp. 143-153
Author(s):  
Jessica W. M. Wong ◽  
Friedrich M. Wurst ◽  
Ulrich W. Preuss
Keyword(s):  
Alcohol Use Disorders ◽  
International Classification Of Diseases ◽  
Clinical Use ◽  
Diagnostic Systems ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Classification Of Diseases ◽  
Historical Developments

Abstract. Introduction: With advances in medicine, our understanding of diseases has deepened and diagnostic criteria have evolved. Currently, the most frequently used diagnostic systems are the ICD (International Classification of Diseases) and the DSM (Diagnostic and Statistical Manual of Mental Disorders) to diagnose alcohol-related disorders. Results: In this narrative review, we follow the historical developments in ICD and DSM with their corresponding milestones reflecting the scientific research and medical considerations of their time. The current diagnostic concepts of DSM-5 and ICD-11 and their development are presented. Lastly, we compare these two diagnostic systems and evaluate their practicability in clinical use.

Research of methods of protecting organizations from inimical mergers and acquisitions

2020 ◽  
pp. 29-45
Author(s):  
O.A. Naydis ◽  
I.O. Naydis
Keyword(s):  
Comparative Analysis ◽  
Mergers And Acquisitions ◽  
Positive Effects ◽  
Advantages And Disadvantages ◽  
Preventive Methods

The article considers the types, forms, mechanisms and classification of mergers and acquisitions, identifies their positive effects, and studies the tactics of acquisitions. The analysis of anti-capture measures: active and preventive methods of protection against hostile mergers and acquisitions. A comparative analysis of anti-capture measures with acquisitions tactics was carried out, the advantages and disadvantages of their application were identified.

Classification of the factors forming the cost of the web-site

2017 ◽  
Vol 31 (2) ◽  
pp. 82-89
Author(s):  
E. S. Epifanov
Keyword(s):  
Web Site ◽  
Internet Site ◽  
Advantages And Disadvantages ◽  
Major Factors ◽  
The Cost ◽  
The Web

This article presents a classification of major factors that shape the cost of Internet site. Also discusses the limitations in determining the objectives of the web site; advantages and disadvantages of different factors.

scholarly journals How Can I Grab That?

i-com ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 67-85
Author(s):  
Matthias Weise ◽  
Raphael Zender ◽  
Ulrike Lucke
Keyword(s):  
Virtual Reality ◽  
User Experience ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Advantages And Disadvantages ◽  
Multiple Dimensions ◽  
Application Developers ◽  
Three Dimensional Space

AbstractThe selection and manipulation of objects in Virtual Reality face application developers with a substantial challenge as they need to ensure a seamless interaction in three-dimensional space. Assessing the advantages and disadvantages of selection and manipulation techniques in specific scenarios and regarding usability and user experience is a mandatory task to find suitable forms of interaction. In this article, we take a look at the most common issues arising in the interaction with objects in VR. We present a taxonomy allowing the classification of techniques regarding multiple dimensions. The issues are then associated with these dimensions. Furthermore, we analyze the results of a study comparing multiple selection techniques and present a tool allowing developers of VR applications to search for appropriate selection and manipulation techniques and to get scenario dependent suggestions based on the data of the executed study.

scholarly journals A Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signal

2021 ◽  
Vol 11 (5) ◽  
pp. 668
Author(s):  
Sani Saminu ◽  
Guizhi Xu ◽  
Zhang Shuai ◽  
Isselmou Abd El Kader ◽  
Adamu Halilu Jabire ◽  
...  
Keyword(s):  
Deep Learning ◽  
Learning Algorithms ◽  
Epileptic Seizures ◽  
Seizure Detection ◽  
Performance Comparison ◽  
Eeg Signal ◽  
Detection Algorithms ◽  
Advantages And Disadvantages ◽  
Monitoring And Diagnosis

The benefits of early detection and classification of epileptic seizures in analysis, monitoring and diagnosis for the realization and actualization of computer-aided devices and recent internet of medical things (IoMT) devices can never be overemphasized. The success of these applications largely depends on the accuracy of the detection and classification techniques employed. Several methods have been investigated, proposed and developed over the years. This paper investigates various seizure detection algorithms and classifications in the last decade, including conventional techniques and recent deep learning algorithms. It also discusses epileptiform detection as one of the steps towards advanced diagnoses of disorders of consciousness (DOCs) and their understanding. A performance comparison was carried out on the different algorithms investigated, and their advantages and disadvantages were explored. From our survey, much attention has recently been paid to exploring the efficacy of deep learning algorithms in seizure detection and classification, which are employed in other areas such as image processing and classification. Hybrid deep learning has also been explored, with CNN-RNN being the most popular.

DEVELOPMENT OF AN ALGORITHM FOR FINDING ANOMALIES IN WEATHER REPORTS TO IMPROVE THE QUALITY OF FORECASTS

2021 ◽  
pp. 45-52
Author(s):  
K. G. Yashchenkov ◽  
K. S. Dymko ◽  
N. O. Ukhanov ◽  
A. V. Khnykin
Keyword(s):  
Optimal Method ◽  
Implementation Processes ◽  
Advantages And Disadvantages ◽  
Message Exchange ◽  
Text Information ◽  
Preliminary Preparation ◽  
Using Data ◽  
The Moment

The issues of using data analysis methods to find and correct errors in the reports issued by meteorologists are considered. The features of processing various types of meteorological messages are studied. The advantages and disadvantages of existing methods of classification of text information are considered. The classification methods are compared in order to identify the optimal method that will be used in the developed algorithm for analyzing meteorological messages. The prospects of using each of the methods in the developed algorithm are described. An algorithm for processing the source data is proposed, which consists in using syntactic and logical analysis to preclean the data from various kinds of noise and determine format errors for each type of message. After preliminary preparation the classification method correlates the received set of message characteristics with the previously trained model to determine the error of the current weather report and output the corresponding message to the operator in real time. The software tools used in the algorithm development and implementation processes are described. A complete description of the process of processing a meteorological message is presented from the moment when the message is entered in a text editor until the message is sent to the international weather message exchange service. The developed software is demonstrated, in which the proposed algorithm is implemented, which allows to improve the quality of messages and, as a result, the quality of meteorological forecasts. The results of the implementation of the new algorithm are described by comparing the number of messages containing various types of errors before the implementation of the algorithm and after the implementation.

scholarly journals Human Activity Recognition with Deep Learning: Overview, Challenges & Possibilities

2021 ◽  
Author(s):  
Pranjal Kumar
Keyword(s):  
Deep Learning ◽  
Activity Recognition ◽  
Human Activity ◽  
Well Being ◽  
Human Activity Recognition ◽  
Research Field ◽  
Daily Lives ◽  
Video Cameras ◽  
Advantages And Disadvantages

Human Activity Recognition (HAR) has become a vibrant research field over the last decade, especially because of the spread of electronic devices like mobile phones, smart cell phones, and video cameras in our daily lives. In addition, the progress of deep learning and other algorithms has made it possible for researchers to use HAR in many fields including sports, health, and well-being. HAR is, for example, one of the most promising resources for helping older people with the support of their cognitive and physical function through day-to-day activities. This study focuses on the key role machine learning plays in the development of HAR applications. While numerous HAR surveys and review articles have previously been carried out, the main/overall HAR issue was not taken into account, and these studies concentrate only on specific HAR topics. A detailed review paper covering major HAR topics is therefore essential. This study analyses the most up-to-date studies on HAR in recent years and provides a classification of HAR methodology and demonstrates advantages and disadvantages for each group of methods. This paper finally addresses many problems in the current HAR subject and provides recommendations for potential study.

scholarly journals Analysis of Metal Fire Problems and Corresponding Safety Measures

2020 ◽  
Vol 20 (2) ◽  
pp. 79-87
Author(s):  
Euipyeong Lee
Keyword(s):  
Case Analysis ◽  
Waste Recycling ◽  
Fire Prevention ◽  
Fire Departments ◽  
Safety Measures ◽  
Response System ◽  
Prevention Activities

The problems and measures were analyzed through the case analysis of metal fire as there was not enough research on metal fire. The problems included ① not having metal fires in the classification of fires, ② the lack of safety measures, ③ not having grounds for the specified quantity of the hazard, ④ an inadequate interim treatment of waste recycling and inappropriate notification by the Ministry of Environment. And the measures included ① the enactment of a metal fire guideline, ② establishment of preparedness and response system of fire departments, ③ strengthening fire prevention activities, ④ review of reduction of specified quantity such as iron, magnesium, etc.

scholarly journals SIMULATORS FOR TRAINING OF VEHICLES’ DRIVERS: INFORMATION MODELS’ ANALYSIS (REVIEW)

2019 ◽  
Vol 16 (5) ◽  
pp. 558-571
Author(s):  
A. V. Belyakova ◽  
B. V. Saveliev
Keyword(s):  
Visual Information ◽  
Educational Process ◽  
Vehicle Safety ◽  
Driver Training ◽  
Advantages And Disadvantages ◽  
Information Models ◽  
Initial Stage ◽  
Vestibular Information ◽  
Selection Of

Introduction. Organization of high-quality training of the vehicles’ drivers is possible only with the proper formation of professional skills. Moreover, the formation of the skills is necessary for the driver to control the vehicle safety, perhaps by using simulators at the initial stage of training. The use of simulators allows automating the actions that the driver performs, while not exposing the student to risks.Therefore, the purpose of the paper is to analyze the application of simulators in the training of the vehicles’ drivers.Materials and methods. The paper presented the basic psycho physiological principles of the learning process, which should be taken into account when using simulators for driver training. The authors demonstrated the classification of the car simulators used for training of drivers by the information models. Existing information models of simulators were divided into two groups: reproducing only visual information, without imitation of the vestibular and simulating both visual and vestibular information. The analysis reflected the advantages and disadvantages of information models.Results. As a result, the authors proposed two systematizing features: the view angle of the visual information and the simulation of vestibular information.Discussion and conclusions. The research is useful not only for the further science development, but also for the selection of simulators and for the organization of the educational process in driving schools.

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