Volume 11 | Issue 4 |

 Abstract

Introduction: Phlebitis, which can happen to as many as 75-80% of hospitalised patients, is one of the most typical side effects of peripheral intravenous catheters. The thrombus in the vein produces discomfort and irritation and could obstruct blood flow. Objectives: To determine whether applying cold or glycerin magnesium sulphate is more successful at reducing thrombophlebitis in patients who have had intravenous treatment. Method: It was quasi-experimental, pre-test-post-test. 60 thrombophlebitis patients were randomly selected and put into two groups. Experimental group-I (N=30) applied glycerin magnesium sulphate and experimental group-II (N=30) applied cold thrice a day for three days to the thrombophlebitis site. Pre-test and post-test used modified visual infusion phlebitis scale. Result: Statistical findings revealed that the experimental group-I mean score 6.00 was lesser than the experimental group-II mean score 6.47. The obtained 't' value was 2.191, significant at 0.05 level. Conclusion: From the above findings, it was evidenced that glycerin magnesium sulphate application was effective than the cold application on reduction of thrombophlebitis among patients received intravenous therapy.

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 Keywords

Assess, Effectiveness, Glycerine Magnesium Sulphate, Cold Application, Thrombophlebitis, Intravenous Therapy

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 Abstract

Sign Language is substantially used by deaf and dumb people to change information between their own community and with other people. It's a language where people use their hand gestures to communicate as they can not speak or hear. Sign Language Recognition( SLR) deals with feting the hand gestures achievement and continues till text is generated for corresponding hand gestures. Then hand gestures for sign language can be classified as static and dynamic. still, static hand gesture recognition is simpler than dynamic hand gesture recognition, but both recognition is important to the community. We can use Deep Learning Computer Vision to fete the hand gestures by erecting Deep Neural Network infrastructures(complication Neural Network infrastructures) where the model will learn to fete the hand gestures images over an time. Once the model Successfully recognizes the gesture the corresponding English text is generated and also display on the screen. This model will be more effective and hence communicate for the deaf and dump people will be easier.

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 Keywords

Sign Language Recognition1, Complication Neural Network2, Image Processing3, Edge Detection4, Hand Gesture Recogniton5.

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Creative Commons Attribution 4.0 and The Open Definition

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Heart disease is a severe health issue that might impact millions of individuals worldwide (HD). Early diagnosis of a cardiac condition will thus benefit in therapy. Because the frequency of heart disease is rapidly growing, it is critical to create technology that can identify the condition more promptly. The presence or absence of a condition is determined by the patient's smoking history. The heart disease system may be able to detect high-risk individuals, explain the essential characteristics of cardiovascular patients, and develop a model that allows them to be distinguished. Machine learning algorithms are applied and assessed based on characteristics such as age, heartbeat, cholesterol, sex, blood pressure, and chest pain. The primary goal of this effort is to create a simple machine learning model.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cardiovasular, promptly, diagnosis.

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Creative Commons Attribution 4.0 and The Open Definition

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: Commercial Propane and Commercial Butane, both of which contain saturated and unsaturated hydrocarbons, make up LPG. Because of the versatile nature of LPG, it is used for many needs such as domestic fuel, industrial fuel, auto-mobile fuel, illumination, etc. and the demand for LPG is continuously increasing day by day. Liquefied petroleum gas is used widely in homes, industries, and automobiles as fuel because of its desirable properties which include high calorific value, it creates very less smoke, and not causing much harm to the environment. Natural gas is another widely used fuel in homes. Both burn to produce clean energy, however, there is a serious threat of leakage. The gases being 5 times heavier than air do not disperse easily.

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Load cell, Fire Sensor, MQ-2 Gas Sensor, GSM Module, Power Supply.

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Compared to earlier years, there are many different uses for mobile phones nowadays. There are many different brands of mobile phones on the market, and a customer's purchasing habits will change depending on the product. Consumers of mobile phones are turning to online to make their purchases since it allows them to receive the product as soon as it is released and because it is less expensive there than in stores. Online shopping makes it simple to compare items, and reviews of the products are used to find the best brands for mobile devices. The study objective is to identify the impact of online marketing towards mobile phone buying decisions. The data used for the analysis is primary data and collected through the use of questionnaire A sample size of 100 was employed by the researcher. Tools used for the study are percentage, chi-square and one way ANOVA. The results says that the Mobile phone purchases are made online more and more frequently by clients, thus internet marketers must continue to satiate them by offering additional deals and discounts when making purchases.

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 Keywords

Mobile phones, online marketing, buying decisions and customers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the mall every person takes product put into trolley. After the shopping is done that person have to stand in the queue for billing. In the billing process a sell person scan barcode of each and every product and gives final bill. This process is very time consuming and it becomes worst on holidays, special offers or weekends. So far the solution to the problem has been intelligent forklifts with different technologies . There have been a number of methods designed for smart spending carts in order to make shopping easier for the customers in malls and save the time of customers by avoiding the requirements to stand in long billing queues. Here we are using the RFID technology which means the bill payment also done in the shopping trolley at the customer without standing in the queue. Electronic Commerce has become extremely popular with the rise in the wireless technologies and other communication techniques. In this paper we are discussing about the smart trolley system for real time application. RFID reader will read the tag data and the amount and it will sent to the server using the wi-fi module with operating frequency (2.4GHz).Here we are using python language for programming communication with the thing speak

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RFID Technology, Thing Speak, Embedded.

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 Abstract

In India, more than 200 children go missing every day, amounting to 73,000 missing children every year. To address this massive issue, We have created an application that would assist parents in locating their missing child. This android/iOS application employs a Facial Recognition technology, Google Geo, SMS, email services, and the Missing Child's database maintained by the Ministry of Women and Child Development to identify their child's location. If a common citizen finds a lost child on the street without any guardian or parents, they can take a picture of their child; if the child's face is detected in the database, this application will send an SOS message to the Police and Childs Parents. When the child's face is identified, this application sends all data to the server and from the server to the police department. When a face is identified, police as well as parents can obtain a geolocation of the child. To acquire information and identify existing problems, a study of a few existing child facial recognition system was conducted. The Rational Unified Process (RUP) paradigm was used in this project's methodology. To obtain user requirements and needs for the system, data collecting methods such as questionnaires and interviews were used. Based on user feedback, the results were analyzed. The majority of users (parents) agree and look forward to implementing the system.

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 Keywords

facial recognition, missing people, missing children

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The shift of transportation technology from internal combustion engine (ICE) based vehicles to electric vehicles (EVs) in recent times due to their lower emissions, fuel costs, and greater efficiency has brought EV technology to the forefront of the electric power distribution systems due to their ability to interact with the grid through vehicle-to-grid (V2G) infrastructure. The greater adoption of EVs presents an ideal use-case scenario of EVs acting as power dispatch, storage, and ancillary service-providing units. This EV aspect can be utilized more in the current smart grid (SG) scenario by incorporating demand-side management (DSM) through EV integration. The integration of EVs with DSM techniques is hurdled with various issues and challenges addressed throughout this review. As the use of electric vehicles (EVs) increases, managing their impact on the power grid becomes increasingly important. Smart grid technologies offer a solution to this problem, with demand side management (DSM) being a key approach. DSM involves managing the demand for electricity on the grid, incentivizing customers to reduce their usage during peak periods. In the context of EVs, DSM can be used to manage the charging of these vehicles during off-peak periods when the demand for electricity is lower. Additionally, Electric Vehicle (EV) batteries can be utilized as potential energy storage devices in micro-grids. They can help in micro-grid energy management by storing energy when there is surplus (Grid-To-Vehicle, G2V) and supplying energy back to the grid (Vehicle-To-Grid, V2G) when there is demand for it & helping to balance the grid and reduce demand. These DSM techniques can help to ensure that the power grid is able to handle the additional demand from EVs while maintaining stability and reliability. Overall, DSM in smart grids is an essential tool for managing the load of EVs and creating a more sustainable and efficient power grid.

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Keywords - Inverter Circuit, DC Charger, Battery.

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 Abstract

In the current generation, online social networks have grown in popularity, which has had an impact on how individuals interact with one another on different social media platforms. Several activities, including promotion, communication, agenda formulation, advertisement, and news generation, have started to be done on social media platforms. It has gotten simpler to add new friends and stay in touch with them and their updates. These online social networks have been the subject of research to see how they affect people. Some fraudulent accounts are used, to spread false information and further political agendas, for example. Finding a fraudulent account is important. Machine learning-based techniques were used to find fake accounts that might deceive users. The dataset is pre-processed using various Python libraries, and a comparison model is obtained to get a feasible algorithm suitable for the given dataset. Several machine learning algorithms try to identify fraudulent accounts on social media platforms. The detection of fake accounts takes advantage of the classification abilities of the algorithms K-Nearest Neighbors, Naive Bayes, and Support Vector Machines.

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Keywords-- Classification , Fake accounts ,Supportvectormachine , Random forest .

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 Abstract

The aim of presence study was to evaluate the anthelmintic activity of aqueous, chloroform and methanolic extract of plant Prosopis Cineraria of family Leguminosae (Fabaceae). Prosopis is a genus of roughly 44 species, most of which are found in dry areas of Southwest Asia, Africa, and America, primarily from western North America to Patagonia. The plant goes by many different common names. It is referred to as Jand in Punjab and Sami, Sumri in Gujarat. Anthelmintic activity of different extracts of Prosopis Cineraria (Linn) leaves were evaluated against Indian earthworm. Various concentrations of the extracts were bioassayed for the determination of time of paralysis (p) and time of death (d) of the worm. Piperazine citrate at a concentration of 20 mg/ml has been used as reference standard. In our present study, the crude Chloroform extract demonstrated paralysis and also caused death of worms especially at the higher concentration (50 mg/ml) compared to the other extracts and standard, piperazine citrate. This study confirmed the use of plant leaves as an anthelmintic agent.

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 Keywords

Prosopis Cineraria, Anthelmintic Activity, Piperazine citrate, Pheretima Posthuma.

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Creative Commons Attribution 4.0 and The Open Definition