Volume 11 | Issue 4 |

 Abstract

Cancer is the foremost cause of death around the globe, almost 10 million deaths in 2020, or appropriately one in six demises. Besides Almost on third of deaths from cancer are due to tobacco use, high body mass index, alcohol consumption, lack of physical activity. Almost all types of cancers can be cured effectively by detecting in cradle stage. Moreover, In Recent days there are huge number of detection techniques are there in the medical field like computed tomography (CT), magnetic resonance imaging (MRI) etc. Nevertheless, advancement in the Raman spectroscopic techniques is also playing a pivotal role in the monitoring and diagnostic purpose. Fundamentally this Raman spectroscopic techniques are showing other auspicious advantages in other backgrounds like polymorphic screening and molecular signature along with the pharmaceutical product's compositional analysis also when compare to all other equipment's. Notably this Raman spectroscopic techniques are very much helpful in the predominant issues like cancer which is world renowned disease.

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 Keywords

Cancer, glioblastoma multiforme (GBM), Raman spectroscopic techniques, SORS, SERS, SOSERS, CLS, MRI, PET, CT, monitoring, detection, Nano particles,

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 Abstract

Drink and drive detection is in interest since it has potential to save accidents whose main cause is over drinking of alcohol. Much research is currently being undertaken to develop detection technique of alcohol limit which cause unconsciousness and the human will not in able to work, walk and understand things properly. The research is primarily achieved by utilizing the significant of electronics and automobile parts, components and concept. A variety of devices exists including: different MQ series sensors, face expression reading devices etc. Among these, the MQ-3 Sensor has shown potential within the field of Electronics, Which detect the concentration of alcohol in human beings. Aspects related to the long term environmental impact of drink and drive detection technology are taken carefully and are considered carefully. This study is aimed to promoting the understanding and commercial investigation of the detection technique effect in the field of safety precautions. This paper presents a device and system commonly known as alcohol sensor device which is used to detect the concentration of alcohol in human. This device detect the alcohol level concentration and if the alcohol concentration is above specific concentration level then the ignition system of automobile is stopped i.e. the automobile will not start.by the use of above device we can save the accidents which cause due to the drink and drive. As we know drunk driving is a very dangerous behavior. People will become slow In reacting and can't control their actions. Drunk drivers aren't able to deal with the emergency situations when they are driving. The investigation done by the World Health Organization in 2008 shows that about 50%-60% of traffic accidents are related to drunk driving. The drunk drving has been listed as the main for the fatal car accident.

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 Keywords

Alcohol Detector, Alcohol Sensor; LCD: MQ3

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 Abstract

The main objective of this research is to find out the impact of Artificial Intelligence (AI) on the performance appraisal and how the artificial intelligence is modified day by day. Based on some studies the research focuses on the detailed study of artificial intelligence as well as the history of artificial intelligence and the role of artificial intelligence. With the help of this study we found that artificial intelligence helps organizations to conduct intelligent surveys and gather feedback in real time. The study finds that artificial intelligence has both positive and negative impact on organization and we found that 91.5% of leading businesses invest in AI on a regular basis as well as customer satisfaction also grow by 25% by 2023 in the organization which uses artificial intelligence (according to tech jury article). In this article we also know about the impact of covid 19 on performance appraisal in any organization and the use of artificial intelligence to improve performance appraisal during pandemic. We come up with suggestions and recommendations to increase investment in artificial intelligence in organizations.

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 Keywords

Artificial Intelligence, Performance appraisal, Feedback, Customer satisfaction, Technology adoption.

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 Abstract

Urban areas exposed to pollution require tolerant plant species to thrive there and give natural benefits. The present study is an attempt to document the Air Pollution Tolerance Index (APTI) of selected trees from Vimala College Campus, to analyze their air pollution tolerance capacity. The assessment of the Ascorbic Acid, pH, Relative Water Content and Total Chlorophyll Content of the leaves of the selected tree species was done to determine the APTI. The APTI of the plant ranged from 7.445 to 9.711 with Bambusa vulgaris having the highest value which indicates it's high tolerance of air pollutants from the assessment and Acacia sinuata with the lowest value and least tolerant. The study also put forward the suggestion model for urban areas and urban campuses.

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 Keywords

APTI, pH, Ascorbic acid, Relative water content, Total chlorophyll, Tolerant trees

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

: Isolation Methods for Flavonoids, Phytochemical Investigation, TLC, HPLC, UV, FTIR etc.

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 Abstract

In this text, we proposed a crowd-sensing concept to assemble the use of surroundings in order that the reason pressure must have a better know-how of his or her environment on the roadway. We assume that smart vehicles will embed a sensing tool. We count on that smart motors will embed a sensing gadget that consists of an accelerometer sensor, PIC 16F877A, switches, and an RFID reader. The customer scans their RFID card with the assist of an RFID reader, after which it suggests their respective Aadhar gambling playing cards. The key or transfer is used to start the automobile, and switches are pressed with the resource of the individual. The accelerometer sensor detects whether or no longer or no longer or not the character is following the suggestions (8 commands) efficiently. If the character eliminated their leg from the pedal or did not have a look at the hints of RTO, the purchaser may moreover furthermore mark this as rejected via way of manner of the tool. Our device shows the consumer's repute inside the route of license checking out on the LCD display, and a buzzer signs, and it is also up to date to the cloud with their respective Aadhar numbers the usage of an IoT module and RFID tag.

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 Keywords

Accelerometer sensor, Automated License and use of licenses.

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 Abstract

Speech and text is the primary medium for human communication. A character wishes vision to get admission to the information in a textual content. However, the ones who've terrible imaginative and prescient can accumulate statistics from voice. This challenge has been built through the usage of Node MCU microcontroller. It is controlling the peripherals like Camera and headset which act as an interface among the device and the person. Optical Character Recognitions (OCR) is carried out on this task to recognize characters which might be then read out through the device through a headset. The camera is set up on spectacles/head tool; it captures a full view of the paper into the device. Its miles ensured that there are correct lights conditions. The content on the paper ought to be written in English and be of accurate font size. When some of these conditions are met the gadget takes the picture, techniques it and if it acknowledges the content material written on the paper it will announce at the Bluetooth headset speaker that the content material at the paper has been correctly processed. After this it speaks out the content that was transformed in to textual content format inside the machine from processing the photograph of the paper. In this proposed device, PC Based Reader for Blind allows a blind man or woman to examine a paper without the assist of any human reader. It additionally achieves sound chew hearing machine for both blind and deaf peoples, we will pay attention the usage of vibrator while we bite it. It makes use of the Optical person recognition era for the identity of the broadcast characters the use of picture sensing devices and computer programming. It converts photos of typed or revealed textual content into system encoded textual content. In this studies these photos are converted into the audio output (Speech) via using OCR and Text-to-speech synthesis. The conversion of printed record into text files is performed the use of PC which again makes use of PyTesseract library and Python programming. The textual content documents are processed & convert into the audio output (Speech) the usage of GOOGLE Text-to-speech (gTTS) & python programming language and audio output is achieved. For visually and listening to impaired man or woman, they are able to hear sound by way of using soundbite hearing device the usage of vibrator.

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 Keywords

Node MCU, Hearing System and blind.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A major global health issue with a high morbidity and mortality rate, chronic kidney disease (CKD) also causes other diseases. Patients frequently overlook the disease in the early stages of CKD since there are no evident symptoms. Early diagnosis of CKD enables patients to receive effective treatment in time to slow the disease's progression. Due of their rapid and precise recognition performance, machine learning models can help physicians attain this goal in an efficient manner. In this paper, we suggest a machine learning approach for CKD diagnosis. The Irvine(UCI) machine learning repository provided the CKD data set, which contains a significant amount of missing values.. Although patients may overlook particular measurements for a variety of reasons, missing data are frequently observed in real-world medical settings. Six machine learning algorithms (logistic regression, random forest, support vector machine, k-nearest neighbour naive bayes classifier, and feed forward neural network) were used to create models after the incomplete data set was successfully filled in. Of these machine learning models, random forest had the highest accuracy. We created an integrated model that combines logistic regression and random forest by employing perceptron, which has the best accuracy; as a result, we hypothesised that this methodology may be used to more complex clinical data for disease diagnosis.

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 Keywords

Logistic Regression, Random Forest Classifier, Decision Tree Classifier, Chronic Kidney Disease.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human lungs use the reverse pressure generated by means of contraction motion of the diaphragm to suck in air for breathing. A contradictory motion is used by a ventilator to inflate the lungs by way of pumping type movement. A ventilator mechanism has to be able to supply inside the variety of 10 - 30 breaths consistent with minute, with the ability to adjust growing increments in units of 2. Along with this the ventilator need to have the capacity to regulate the air volume driven into lungs in each breath. The final however now the least is the placing to alter the time period for inhalation to exhalation ratio. Apart from this the ventilator need to be capable of display the patient's blood oxygen stage and exhaled lung stress to avoid over/beneath air pressure concurrently. The ventilator we here layout and increase using arduino encompasses most of these necessities to increase a dependable but low-priced ventilator to help in times of pandemic. We here use a silicon ventilator bag coupled pushed by servo motor with one side push mechanism to push the ventilator bag. Our machine uses blood oxygen sensor along side touchy heart Beat sensor to display the important vitals of the patient and show on a webpage the usage of IoT. To alter the time duration for inhalation the choice command given in the IoT application to set. The complete machine is driven by way of arduino controller to gain desired results and to assist patients in COVID pandemic and other emergency situations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lungs, COVID pandemic and ventilator mechanism.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture serves as the primary and most essential source of food products worldwide, while also being the backbone of a country's economic system. It not only provides food but also furnishes raw materials for various industries such as Textiles, Jute, Oil, Tobacco, etc. However, as the world population continues to grow, ensuring food security by supplying diverse varieties of food products has become increasingly crucial. In this regard, Smart Farming emerges as a promising concept that employs modern information and communication technologies to enhance the quantity and quality of agricultural products. Smart Agriculture incorporates the application of Internet of Things (IoT) technology, such as sensors, autonomous vehicles, hardware, and control systems like robots, to enhance livestock and farm monitoring. In this paper, we review various approaches to IoT-based Smart Farming to identify new opportunities for future research.

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 Keywords

Agriculture, Food Security, IoT, Smart Farming.

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Creative Commons Attribution 4.0 and The Open Definition