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In order to evaluate the effectiveness of turbidity removal from wastewater, the objective of this study is to take Artocarpus heterophyllus and Hibiscus rosa and compare the findings that were achieved from their respective applications. The Components and Procedures: For the purpose of this investigation, dye wastewater is treated with the coagulation process. A total of thirty samples were displayed, with fifteen samples belonging to each of the groups. In order to do the computation for the paired t-test, 80 percent G-power is utilised. As part of the coagulation process, the jar apparatus test is utilised in this investigation. The elimination of turbidity from wastewater is accomplished by the utilisation of two coagulants: Hibiscus rosa, which serves as a control, and Artocarpus heterophyllus, which serves as an experimental group. According to the findings, when two coagulants were compared, Artocarpus heterophyllus demonstrated the highest removal rate of sixty percent, while Hibiscus rosa had a removal rate of sixty-nine percent. With a p-value of less than 0.001 (p-value of less than 0.05), the paired sample t-test indicated that there was a statistically significant difference between the two groups. By comparing two different coagulants, the experiment demonstrated that Artocarpus heterophyllus was superior to Hibiscus rosa in terms of its ability to remove turbidity. [ABSTRACT FROM AUTHOR]

The goal of this research is to find out how Phaselous vulgaris L. and Hibiscus rosa can clean up dye effluent. Research Tools and Procedures: In this experiment, the coagulation process is used to remediate coloured wastewater. Two groups of 30 samples were employed for the wastewater assessment, with 80 percent of the samples analysed using a G-power valve. The purpose of this research was to determine if Hibiscus rosa and Phaselous vulgaris L might be used as coagulants to cleanse dye wastewater of organic compounds and turbidity. When comparing the efficacy of Hibiscus rosa (59 percent) and Phaselous vulgaris L (65 percent) coagulants in treating dye wastewater, the results show that the former is superior. There was a meaningful difference between the two groups, as indicated by the paired sample t-test (p<0.001(p<0.05)). Results showed that Phaselous vulgaris L was more effective than Hibiscus rosa in removing turbidity. [ABSTRACT FROM AUTHOR]

Aim: The purpose of this study is to remove turbidity from wastewater by using novel Carica papaya and Hibiscus rosa coagulants. Materials and Methods: Carica papaya and Hibiscus rosa coagulants were used to treat dye wastewater using a coagulation process. The two groups, control (Hibiscus rosa) and experimental (Carica papaya) have 15 samples for each group respectively, and a total of 30 samples. The paired t-test is performed by utilizing G-power of 80%. Turbidity removal is used as a quality index in this study. Results: Carica papaya showed the maximum removal of 67% compared to Hibiscus rosa (59%) coagulant in wastewater treatment. The paired sample t-test on two groups showed that there was a statistically significant difference with p value as 0.001 (p<0.05). Conclusion: From this study, the maximum turbidity removal was achieved by using Carica papaya compared with Hibiscus rosa. [ABSTRACT FROM AUTHOR]

The proposed system aims to increase the accuracy of coronary artery disease prediction through the Novel K- Nearest Neighbor Classifier and compare it with the Support Vector Machine algorithm. This project consists of two groups as SVM Classifier and KNN algorithm. Each group is having a sample size of 20 and G-power pretest of 80% with a Confidence Interval of 95% was used to determine the sample size. The novel K-Nearest Neighbors with Support Vector Machine predicted heart disease with accuracy of 90.8830% and 87.6640%, respectively. The statistical significance value between KNN and SVM based on an independent sample t-test is p=0.001 (p<0.05), which indicates that there is a significance from the two groups. In light of the acquired outcomes the K-Nearest Neighbour Classifier gives better accuracy of 90.8830% when compared with Support Vector Machine 87.6640%. [ABSTRACT FROM AUTHOR]

The heavy materials which are used in automobile industry, which are reducing the thermal efficiency, mechanical efficiency and fuel consumption. To overcome this all the factors by finding or introducing new materials such as composites in terms of requirement. The new materials which are used in manufacturing and automobile industry. High specific stiffness and near-zero coefficient of thermal expansion are being experienced in this work. As compared with the parent materials, the addition of new material exhibits better performance in terms of commercial value and the properties of materials. Aluminum has got excellent chemical and physical properties and also it has functioned well in thermal and chemical environments. The may drawback for aluminum is poor thermal resistance and very low toughness. It has been seen that many structural ceramics had poor conductivity when it was mixed with parent alloys. In this work, 10%,20%, and 30% of Al2O3 particles are mixed with Aluminum-Copper alloy to improve the electrical and mechanical properties. The prepared alloy mixtures are fabricated through a stir casting route followed by the sand casting method. [ABSTRACT FROM AUTHOR]

Supermarkets have revolutionized in the way people purchase items for their welfare. With the advent of online marketing, almost all items are available online. Still, most people stick to the supermarkets for their daily ration owing to their trust and the fast accessibility of such shops. Moreover, some items are best bought by personally selecting them from a collection for example the daily ration, food items, utensils, etc. However, some people feel left out in the everyday marketing scenario. The differently-abled people find it extremely difficult to navigate their way through the supermarkets and are often stared upon due to their disability. Some shop workers find it a waste of time to help such people. Such activities have turned the shopping experience of several differently-abled people difficult. It is usually the case that someone has to always accompany them to make their experience less bitter and a bit better. It is a plan to transform the bitter, better experience into the best experience. The Smart shopping cart is a smart solution to tackle the problems faced by differently-abled people. With our new idea of the Smart Shopping Cart differently-abled people would require no external help to find their way around the shop floor nor would they require anyone to push around their cart for them. The cart automatically moves to the required destination on the input of the user. The method is highly beneficial to disabled people as it solves their problem of mobility and getting lost in the supermarket and it helps them shop alone on their terms. The proposed project will be a boon to differently-abled people. [ABSTRACT FROM AUTHOR]