scholarly journals Autonomous robotic fire detection and extinguishing system

2021 ◽  
Vol 2107 (1) ◽  
pp. 012060
Author(s):  
Nivennesh A/L Sathiabalan ◽  
Anis Farihin Mohamed Lokimi ◽  
Ong Zi Jin ◽  
Nur Syazwani Mohd Hasrin ◽  
Aini Syuhada Md Zain ◽  
...  
Keyword(s):  
Human Error ◽  
Average Length ◽  
Fire Detection ◽  
Water Tank ◽  
Water Pump ◽  
Robot System ◽  
Fire Extinguishing ◽  
High Death Rate ◽  
High Death ◽  
Robot Body

Abstract Firefighting is a dangerous job with a high death rate. Robotics is the new way to protect the environment and human lives. This work proposes an autonomous robot system that can inevitably discover fire using the flame sensor and extinguish it. This project includes Arduino UNO, flame sensor, servo motor, motor driver, relay module, Bluetooth HC-06 module, and water pump. Besides, using the push Bluetooth app at the transmitting end, commands are sent to the receiver to control the robot’s movement. The motors are connected to the microcontroller and used to move the robot and sprinkle water on the fire. A water tank and a water pump are mounted on the robot body and automatically detected by the infrared. An ATMEGA328 series microcontroller controls the flame sensor and the whole operation. A motor driver IC, L298N, is interfaced to the microcontroller through which the controller drives the motors. As a result, the robot can detect fire from a distance. The average length for detecting flame is approximately 5.11cm, and Bluetooth transmission is about 300cm. It has the potential to reduce human error and limitations associated with fire extinguishing tasks.

scholarly journals Irovers: Real Time Unmanned Four Wheeled Iot Vehicles for Fire Monitoring and Extinguishing using Sonic Waves

2019 ◽  
Vol 8 (2S5) ◽  
pp. 55-57
Keyword(s):  
Mobile Robot ◽  
Fire Detection ◽  
Noise Pollution ◽  
Autonomous Mobile Robot ◽  
Robot System ◽  
Fire Monitoring ◽  
Fire Extinguishing ◽  
Ir Sensor ◽  
Sonic Waves ◽  
Fire Accidents

The aim of the proposed system is to build an autonomous mobile robot system for measuring the various levels of air and noise pollution as well as the fire monitoring and in case of fire, this robot is used to extinguish the fire using SONIC WAVES. This is a IOT based robot which moves autonomously avoiding obstacles using the IR sensor. This robot is used for temperature monitoring for the analysis of the presence of fire. The data from the robot is sent and received using WIFI in IOT. This mobile robot is capable of avoiding obstacles using IR sensor thereby it can be easily introduced in places of fire accidents for the process of fire extinguishing. The fire detection are monitored by using the temperature sensor. These information from the sensor are sent to the PIC microcontroller and then using the wi-fi the information are sent to the cloud. The fire extinguishing process is carried out by the sonic fire extinguisher

Project Review on Water Level Sensing Using PLC

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Osama Mahfooz ◽  
Mujtaba Memon ◽  
Asim Iftikhar
Keyword(s):  
Automatic Control ◽  
Water Level ◽  
Digital Computer ◽  
Human Error ◽  
Water Tank ◽  
Industrial Plants ◽  
Commercial Use ◽  
The Cost ◽  
Water Tanks

<span>A PLC is a digital computer used to automate electromechanical processes. This research is<span> based on automation of a water tank by using Siemens PLC. Automatic control of water tanks<span> can work continuously and can provide accurate quantity of water in less time. In such process<span> there is no need of labor so there is no human error. Without human error, the quality of product<span> is better and the cost of production would definitely decrease with no error in quantity required.<span> Water level sensing can be implemented in industrial plants, commercial use and even at home<br /><br class="Apple-interchange-newline" /></span></span></span></span></span></span>

scholarly journals MicroRNAs Which Can Prognosticate Aggressiveness of Bladder Cancer

Cancers ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1551 ◽  
Author(s):  
Edyta Marta Borkowska ◽  
Tomasz Konecki ◽  
Michał Pietrusiński ◽  
Maciej Borowiec ◽  
Zbigniew Jabłonowski
Keyword(s):  
Bladder Cancer ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Control Group ◽  
Low Grade ◽  
Operating Characteristics ◽  
High Death Rate ◽  
Biological Potential ◽  
High Death ◽  
Muscle Invasive

Bladder cancer (BC) is still characterized by a very high death rate in patients with this disease. One of the reasons for this is the lack of adequate markers which could help determine the biological potential of the tumor to develop into its invasive stage. It has been found that some microRNAs (miRNAs) correlate with disease progression. The purpose of this study was to identify which miRNAs can accurately predict the presence of BC and can differentiate low grade (LG) tumors from high grade (HG) tumors. The study included 55 patients with diagnosed bladder cancer and 30 persons belonging to the control group. The expression of seven selected miRNAs was estimated with the real-time PCR technique according to miR-103-5p (for the normalization of the results). Receiver operating characteristics (ROC) curves and the area under the curve (AUC) were used to evaluate the feasibility of using selected markers as biomarkers for detecting BC and discriminating non-muscle invasive BC (NMIBC) from muscle invasive BC (MIBC). For HG tumors, the relevant classifiers are miR-205-5p and miR-20a-5p, whereas miR-205-5p and miR-182-5p are for LG (AUC = 0.964 and AUC = 0.992, respectively). NMIBC patients with LG disease are characterized by significantly higher miR-130b-3p expression values compared to patients in HG tumors.

scholarly journals Causes of spontaneous death and euthanasia in dogs: A background study in Bahia, Brazil

2021 ◽  
Vol 66 (No. 4) ◽  
pp. 156-166
Author(s):  
JL Freitas ◽  
TS Andrade ◽  
ES Martins Filho ◽  
CS D’Soares ◽  
ACSN Souza ◽  
...  
Keyword(s):  
Death Rate ◽  
Northeast Brazil ◽  
Disease Category ◽  
Pathology Laboratory ◽  
High Death Rate ◽  
High Death ◽  
Veterinary Pathology ◽  
Diagnostic Capabilities ◽  
Health Programmes ◽  
Epidemiological Information

Understanding the causes of death in dogs enhances the diagnostic capabilities of veterinarians, as well as reduces animal mortality. Studies on this topic assist in the control and prophylaxis of epidemics and in structuring public health programmes. In total, 1 355 necropsy reports of dogs filed at the Veterinary Pathology Laboratory of the Federal University of Bahia, Northeast, Brazil (2005–2017) were analysed. The epidemiological information and anatomopathological diagnoses were obtained. The diagnosed diseases were classified into 10 categories. The frequency of the zoonoses, the overall age of the death (AD) of the dogs, and the AD of the dogs for each disease category were determined. Infectious and parasitic diseases were the most frequent primary causes of death in puppies (44.62%) and adult dogs (26.52%). In elderly dogs, most deaths occurred due to neoplasms (42.37%). Distemper (10.46%) was the most prevalent condition. A high frequency of zoonoses (6.12%) and a high death rate caused by diseases that could have been prevented (15.06%), such as distemper, parvovirus and canine visceral leishmaniasis, were reported. The AD in the population studied was eight years. The results confirmed the hypothesis of a high death rate in dogs in the state of Bahia, Northeast, Brazil, because of preventable infectious diseases.

scholarly journals DECLARATION OF EPIDEMIC PUBLIC HEALTH WITH NOVEL CORONAVIRUS

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Rafid A. Abdulkareem
Keyword(s):  
Public Health ◽  
Early Detection ◽  
Diagnostic Tests ◽  
Death Rate ◽  
Rna Viruses ◽  
Virus Disease ◽  
Respiratory Problems ◽  
High Death Rate ◽  
High Death ◽  
Novel Coronavirus

Coronaviruses (CoV) are broad enveloped RNA viruses in humans and animals are mostly correlated with enteric and respiratory problems. Within the last decades, incidents of high death rate triggered by the spread of CoV from animals to humans have occurred. Certain pathogen city of CoV is known species-dependent as with the extent of infection; Complications typically appear in closely associated human hosts. Epidemiologists assume that the SARS virus arose in bats (natural reservoirs hosts) that were transferred to persons in Wuhan, China. Presently, the available diagnostic tests are aimed at the traditional early detection of the causes of pneumonia, promote disease prevention efforts and collaborate with research laboratories that can conduct pan coronavirus detection or controlled sequencing. No vaccine is sufficient to protect toward coronaviruses. Also there is no clear treatment for corona virus disease. Patients take comprehensive medication in clinics and typically heal on their own after several times. A vaccine can take up to 45 months to develop. Let’s stay safe during this period of time. Keywords: Coronaviruses, Spreading, bats, diagnostic, vaccine

scholarly journals CST: A Multitask Learning Framework for Colorectal Cancer Region Mining Based on Transformer

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Dong Sui ◽  
Kang Zhang ◽  
Weifeng Liu ◽  
Jing Chen ◽  
Xiaoxuan Ma ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Cancer Screen ◽  
Region Detection ◽  
High Death Rate ◽  
High Death ◽  
Colorectal Cancer Screen ◽  
Segmentation Task ◽  
Transformer Model

Colorectal cancer is a high death rate cancer until now; from the clinical view, the diagnosis of the tumour region is critical for the doctors. But with data accumulation, this task takes lots of time and labor with large variances between different doctors. With the development of computer vision, detection and segmentation of the colorectal cancer region from CT or MRI image series are a great challenge in the past decades, and there still have great demands on automatic diagnosis. In this paper, we proposed a novel transfer learning protocol, called CST, that is, a union framework for colorectal cancer region detection and segmentation task based on the transformer model, which effectively constructs the cancer region detection and its segmentation jointly. To make a higher detection accuracy, we incorporate an autoencoder-based image-level decision approach that leverages the image-level decision of a cancer slice. We also compared our framework with one-stage and two-stage object detection methods; the results show that our proposed method achieves better results on detection and segmentation tasks. And this proposed framework will give another pathway for colorectal cancer screen by way of artificial intelligence.

Mapping of PubMed Literature on Early Trends of 2019 Novel Coronavirus (COVID-19)

2020 ◽  
Author(s):  
Kutty Kumar
Keyword(s):  
Data Science ◽  
Time Frame ◽  
Research Organizations ◽  
High Death Rate ◽  
Pubmed Database ◽  
Examination Time ◽  
Production Distribution ◽  
High Death ◽  
Novel Coronavirus ◽  
Distribution Type

Abstract 2019 novel corona virus infection (COVID-19) causes extreme viral pneumonia in people, known to have a high death rate and a similitude in clinical indications with Severe Acute Respiratory Syndrome coronavirus. This investigation intended to study the attributes of distributions on early COVID-19 research through bibliometric analysis. PubMed database was looked on 07, February, 2020 for COVID-19 distributions published during 01st December 2019 to 06th February 2020. Investigation parameters incorporate year of production, distribution type, examples of universal coordinated effort, and research organizations. An aggregate of 62 COVID-19 research distributions were distributed during the examination time frame. The exploration works were distributed from 13 nations, demonstrating the global noteworthiness on coronavirus episode. USA was the biggest supporter, with 24 articles distributed over a range of 2months and 6 days, trailed by England (11 articles). Aftereffects of the investigation will bear some significance with understudies, specialists, curators and data science experts, and will fill in as a pattern for resulting examinations.

Inquiry found surgeon had high death rate for operation

BMJ ◽  
1998 ◽  
Vol 316 (7144) ◽  
pp. 1553-1553 ◽  
Author(s):  
C. Dyer
Keyword(s):  
Death Rate ◽  
High Death Rate ◽  
High Death

Portraits in Stone

2017 ◽  
Author(s):  
Jennifer Van Horn
Keyword(s):  
South Carolina ◽  
Social Network ◽  
Death Rate ◽  
High Death Rate ◽  
High Death ◽  
Stone Carvers

Elite residents of Charleston, South Carolina, sought a unique means of memorializing their dead: gravestones embellished with bust-length depictions of the deceased. Commissioned from stone carvers in Boston, these portrait gravestones reimagined the small, ivory form of the portrait miniature at a public scale suitable for the cemetery. This chapter examines why Charlestonians patronized this type of memorial, tying the gravestones to residents’ horror at the savagery unleashed upon corpses by putrefaction and to their desire to preserve bodies’ former politeness. Considering portrait gravestones along with mourning rituals and coffin construction illuminates the stones’ role as protective containers that kept savagery at bay, an important function given Charleston’s high death rate and steamy climate. Recognizing the memorials’ similarity to boundary markers, such as those erected to mark the Mason Dixon line, illuminates how the gravestones demarcated a space of colonial control. By erecting stone portraits of civil persons, Charlestonians created a social network with incredible permanence.

scholarly journals WeReview: CRISPR Tools—Live Repository of Computational Tools for Assisting CRISPR/Cas Experiments

2019 ◽  
Vol 6 (3) ◽  
pp. 63 ◽  
Author(s):  
Torres-Perez ◽  
Garcia-Martin ◽  
Montoliu ◽  
Oliveros ◽  
Pazos
Keyword(s):  
Fast Moving ◽  
Death Rate ◽  
Scientific Literature ◽  
Computational Tools ◽  
Guide Rna ◽  
Comprehensive List ◽  
High Death Rate ◽  
High Death ◽  
On Line ◽  
Rapid Pace

Computational tools are essential in the process of designing a CRISPR/Cas experiment for the targeted modification of an organism’s genome. Among other functionalities, these tools facilitate the design of a guide-RNA (gRNA) for a given nuclease that maximizes its binding to the intended genomic site, while avoiding binding to undesired sites with similar sequences in the genome of the organism of interest (off-targets). Due to the popularity of this methodology and the rapid pace at which it evolves and changes, new computational tools show up constantly. This rapid turnover, together with the intrinsic high death-rate of bioinformatics tools, mean that many of the published tools become unavailable at some point. Consequently, the traditional ways to inform the community about the landscape of available tools, i.e., reviews in the scientific literature, are not adequate for this fast-moving field. To overcome these limitations, we have developed “WeReview: CRISPR Tools,” a live, on-line, user-updatable repository of computational tools to assist researchers in designing CRISPR/Cas experiments. In its web site users can find an updated comprehensive list of tools and search for those fulfilling their specific needs, as well as proposing modifications to the data associated with the tools or the incorporation of new ones.

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