Volume 11 | Issue 5

 Abstract

Customer Loyalty and Brand Loyalty are two variables in the field of marketing which look similar on the surface but when analysed critically, it would be discovered that they mean separate things. Today's consumers face greater choices due to the abundance of goods and services available. By understanding the factors that influence consumer behaviour, businesses may create specific products and sales strategies that give consumers a reason to buy. This research was carried out to investigate the impact of customer loyalty and brand loyalty in the retailing industry. This research adopted an empirical analysis of literature to determine which among the two concepts is receiving more attention in practice. The study was anchored on theory of reasoned action by Ajzen and Fishbein who asserted that consumers carry out actions that think, whether or not they know the consequences, will produce or bring about that conclusion. As a result, logical decision-making is the primary influence of consumer behaviour. The findings of the research revealed that in practice, brand loyalty is becoming more increasingly significant for business organizations than customer loyalty. Based on the revelation of the study, it was recommended among others that retailers should integrate their loyalty programmes with their CSR initiatives.

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 Keywords

Brand loyalty, Consumers, CSR, Customer loyalty, Retailers

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 Abstract

Cloud computing has become an essential paradigm in modern IT infrastructure, providing flexible and scalable services to organizations and individuals. With the rapid growth of cloud service offerings, it has become increasingly challenging for users to identify the most suitable services and understand their relationships with other services. Association rule mining techniques have been widely used to discover meaningful patterns and relationships in various domains. In this study, we propose a novel approach called Priority Based Association Rule Mining (PBARM) to explore cloud services and their associations based on user-defined priorities. PBARM leverages user-defined priorities to guide the association rule mining process and extract relevant patterns and relationships. Users can specify their preferences and requirements regarding service characteristics, such as cost, performance, security, and availability. These priorities are then used to assign weights to different attributes and determine the importance of each attribute in the association rule generation process. By considering user-defined priorities, PBARM enables users to focus on the most relevant associations based on their specific needs. To evaluate the effectiveness of PBARM, we conducted experiments using a real-world dataset of cloud services. The results demonstrate that PBARM outperforms traditional association rule mining approaches in terms of relevance and accuracy of the discovered associations. By incorporating user-defined priorities, PBARM provides a more personalized and targeted exploration of cloud services, assisting users in making informed decisions and optimizing their cloud service selections. Furthermore, we developed a user-friendly visualization tool that presents the discovered associations in an intuitive manner, allowing users to interactively explore the relationships between different cloud services. The tool enables users to adjust their priorities dynamically and observe the impact on the generated associations, enhancing the flexibility and usability of the exploration process. In conclusion, PBARM offers a novel approach to explore cloud services and their associations by incorporating user-defined priorities. By considering user preferences and requirements, PBARM provides personalized and relevant recommendations, facilitating decision-making in cloud service selection. The proposed approach and visualization tool contribute to enhancing the usability and efficiency of cloud service exploration, ultimately improving the overall cloud computing experience for users

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 Keywords

Association Rule, Cloud, Apriori Algorithm, Support, Sector, Sphere, PBARM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Plastics offer a variety of advantages or benefits, due to its flexibility it has wide applications in modern world. However, use of too much plastic can put effect on the environment and human life. Need for the production of biodegradable plastic (plastic that can be decomposed in the environment by the action of naturally occurring microbes) has been increasing day by day. There is an extensive need to produce biodegradable plastic due to its ability to decompose itself in short period of time hence saving environment.

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PHAs production PHAs applications Therapeutic application Agricultural application Cancer detection

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The objective of this study is to formulate and evaluate poly-herbal shampoo for cosmetic purpose from herbal ingredients. Hibiscus powder, Neem powder, Henna powder, Amla powder, Shikakai powder, Ritha powder, Alo-vera gel was procured from local market in powdered form also gel form Banyan root powder and Soya milk is prepared by homemade method, then prepared decoction of these ingredients and mixing with each other and evaluated for its organoleptic and physico-chemical characteristics. Herbal shampoo is used to cleansing of the hair also conditioning, smoothing, of the hair surface, good health of hair, hair free of dandruff, dirt grease and lice above all, it's safety benefits are expected.

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 Keywords

Herbal shampoo; Eclipta prostrata, Sapindus indica, Evaluation of shampoo .

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 Abstract

In the hill station, the most common problem to the drivers is to park their cars in the slope and to start up the car. While waiting in the traffic, the cars have to move on step by step very slowly, this situation is a difficult one for the drivers to make their car not to roll back in the slope. So, the mechanism has to be developed to stop the vehicle from rolling back and it should not stop the vehicle in accelerating forwards. This function can be achieved by using the ratchet and pawl mechanism. We also used a pneumatic cylinder which is useful when we wanted to drive in reverse direction. The 3D model will be drawn with the help of CATIA software. The parts of the system are manufactured and then assembled together. After making the assembly, the experimental testing will be carried out and then the result and conclusion will be drawn.

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 Keywords

Hill Assist System, Ratchet Wheel , Pawl,

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 Abstract

Diabetic Retinopathy (DR) is an eye complaint related with periodic diabetes. DR is the driving cause of visual deficiency among working matured grown-ups around the world and evaluated it may influence assist than 93 million individuals. Movement to vision impedance can be braked or controlled in the event that DR is recognized in time, still this may be fragile as the complaint regularly appears numerous side effects until it's as well late to give effective treatment. by and by, recognizing DR may be a time- devouring and custom made handle, which needs an ophthalmologist or prepared clinician to look at and gauge computerized color fundus photographs of the retina, to distinguish DR by the nearness of injuries related with the vascular variations from the norm caused by the complaint. The computerized framework of DR webbing will speed up the disclosure and choice- making handle, which can offer assistance to control or oversee DR movement. This paper presents an robotized bracket framework, in which it analyzes fundus pictures with changing light and areas of see and produces a rigidity review for diabetic retinopathy (DR) utilizing machine proficiency models comparative as CNN, VGG-16.

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 Keywords

Diabetic retinopathy, CNN, VGG-16, NUMPY, TENSORFLOW

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 Abstract

Every day Metropolitan cities generate more and more waste and this is overloading our municipal systems, systematic management of waste is big problem. Composting is known and easy process of organic waste management. It is a biological conversion self-heating, which generates desired end products such as substrates for cultivation of mushroom, bio-gas and fertilizers. The proper maintenance of temperature and humidity in pulverized organic waste will increase the process of bio-degradation. The study is done to evaluate the performance of compost machine. The proper management of temperature and humidity is important. The aim is to decrease unscientific land filling, segregation of waste and to increase quality of compost or manure.

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Compost Waste Management Arduino Uno

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 Abstract

The primary goal of this initiative is to offer high-level domestic security systems to the general public. These days, breaking into locked homes is rather popular because it is relatively simple for the criminals and requires little effort on their part. Therefore, this project work is developed with a covert watch dog to prevent these forms of muggings. The fundamental idea behind the system is to recognise a passing person using IR sensors coming from any of the four directions, at which point the speech chip is activated to automatically announce the spoken message. The device also aims to guarantee privacy by making it impossible for unauthorised people to open the door in any situation. This type of automatic door with a top-secret code can be used in significant locations where top-notch security is required. Strong rooms, home laboratories, etc. These days, the majority of security systems that offer password protection are relatively widespread. Scratch cards or RFID cards are sometimes used to identify users. But since all of these ways have become incredibly dated and people are searching for new approaches, this project work was created to provide some excitement while the code is being decoded using invisible devices placed inside the wall.

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IR sensors, high security

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 Abstract

The world has been concerned about the issues related to the environment. The successful implementation of the Internet of Things (IoT) has been posed by the emergence of the Internet of Things (IoT) and the move toward smart approaches like smart cities, smart buildings, and smart grids. However, success is only real when the problems can be solved. The environment of a poultry house is proposed to be protected and monitored using Internet of Things technology in this paper. The proposed hardware, which is based on software, is capable of monitoring environmental parameters like air temperature, humidity, oxygen concentration, CO2 level, and NH3 concentration. Effective data collection of the aforementioned parameters, as well as source coordination and control, is the responsibility of the wireless sensor. The equipment is executed effectively at various destinations inside the poultry shed. The experimental setup was found to be extremely accurate and effective. This plan will procure a protected climate and benefit to the poultry business.

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 Keywords

Arduino, DHT11, MQ2 Sensor, IR Sensor

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 Abstract

High-strength steels are being used more frequently lately in a variety of architectural and structural applications, including bridges, high-rise buildings, and offshore structures. High-strength steel is stronger and more durable than normal-strength steel. This can lighten structures, making them more appropriate for large-space buildings and long-span bridges. The ultimate flexural capabilities of H-section high-strength steel beams with and without web holes were compared. As predicted by circular perforations, the maximum allowable flexural strength of H-strength steel beams was decreased. This reduction in flexural capacity resulted from stress concentrations that were present close to the apertures

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H-section, ANSYS software, opening diameter, force reaction

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The anti-microbial activity of the formulated herbal hand wash gel was tested against Escherichia coli, Staphylococcus aureus and Salmonella by spread plate techniques and the results obtained were compared with commercial antibacterial standards. Alsothe efficiency was checked by using the hand wash gel on volunteers. The results from the present work suggest and support the incorporation and utilization of herbs in theformulations to give better effect. Herbal medicines are significant part of healthcare throughout the world. Herbal medicines have been extensively utilized as effectual remedies for the prevention and management of multiple health conditions. Hands are a prime mode of transmission of microbes and nosocomial infections. Handwashing is extremely imperative in healthcare and domestic sector. Numerous of the antiseptic hand wash available in the market are alcohol based sanitizers which have some adverse effects. To avoid these adverse effects like itching, drying, irritation, dermatitis etc., of the synthetic handwash formulations an attempt has been made to formulate a herbal hand wash using extracts of Eucalyptus globulus extracts. The results from the present work support the incorporation and utilization of herbs in the formulations to give a better effect. Herbal hand wash evaluated by tested parameters like physical parameters like colour, fragrance and chemical parameters like pH, Viscosity, Foam height, Foam retention, Skin irritation test etc. and obtained results were in the acceptable limits with less or

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Herbal hand wash, tulsi, vitamin c, Aloe vera, citrus Limon, essential oil

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 Abstract

Machine Learning is a category of algorithms that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build models and employ algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available. These models can be applied in different areas and trained to match the expectations of management so that accurate steps can be taken to achieve the organization's target. In this paper, the case of Big Mart, a one-stop-shopping center, has been discussed to predict the sales of different types of items and for understanding the effects of different factors on the items' sales. Taking various aspects of a dataset collected for Big Mart, and the methodology followed for building a predictive model, results with high levels of accuracy are generated, and these observations can be employed to take decisions to improve sales.

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 Keywords

Machine Learning, Linear Regression, XG Boost, Prediction.

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 Abstract

The pandemic has taught us how important it is to protect our environment and lead a responsible life in the society. The pandemic overhauled the health care systems and forced many nations to look for alternatives to strengthen the nation. The rich indigenous environmental knowledge of our country helped us to protect ourselves from the pandemic and also help the world. Many indigenous practices like use of turmeric, amla etc., steam inhalation, yoga, preparations like kadha etc., have all made India strong and added to this the development of indigenous vaccines helped India to fight the battle successfully. Indigenous knowledge systems facilitate holistic development and empower people in their struggle for survival and achieve self- efficiency. The present paper highlights the indigenous environmental knowledge for holistic development especially in the field of Education.

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 Keywords

Indigenous Environmental Knowledge, Holistic Development, Yoga, Self- efficiency

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 Abstract

As a country with one of the largest young populations in the world and a booming economy, youngsters in India expect a brighter future. As a result, the young Indian Investor today shows an unprecedented degree of financial prudence. Most Indian youngsters invest directly in the stock market. However, it is always recommended to have an in-depth knowledge of the market before venturing in, as the stock market's performance depends on various macro and microeconomic factors. Thus, the youth of India are very aware of investment possibilities around them and intelligent enough to know what is best for them.

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 Keywords

Investment, Behavioral Inclination, Investor attitude

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Food is a key aspect of our lives because it is the most fundamental necessity of all living things on our planet. Because agriculture provides the majority of our food, it is extremely significant. Agriculture works to produce food goods for the expanding population, but plant diseases also impede the growth and nutritional value of food crops. Here, we'll focus on five different plants: the tomato, the hibiscus, the spinach, the mango tree, and the bitter gourd. This paper suggests a CNN-based method for earlier disease detection in plants. The method involved the following steps: image segmentation, feature extraction, and picture pre-processing. A Convolutional Neural Network (CNN) classifier is created using the outcomes of these three phases. To conduct research and analysis, an image of the plant's diseased portions is obtained, compared to the desired dataset, and used to predict the disease and provide subsequent treatment options. Following the diagnosis of the disease, the pesticides, their quantity, and the area where they should be applied are displayed. Additionally, it will display the vicinity where pesticides can be found.

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 Keywords

Agriculture, Machine Learning, CNN, Image Segmentation, Feature Extraction, Automatic disease Recognition, Classification

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Apps and websites that facilitate online dating are rapidly becoming increasingly common ways to meet potential partners. Online dating, despite (Mlaz, 2020) having some great qualities, has been shown to have a negative impact on how people regard themselves. Because online dating is predominately (Enguix & Ardevol, 2012) based on visually observable characteristics, users are commonly objectified as a result of their participation in the activity. This may result in unfavourable effects in terms of body dissatisfaction. On the other hand, the outcomes of prior research studies investigating this link have produced conflicting findings. The present study aimed to correlate body image and self-esteem among those adults who uses online dating apps. Data from 100 participants were gathered using purposive and snowball sampling technique. Rosenberg's self-esteem and Body Uneasiness Test has been used to measure the variables. The findings depicted that there is a significant correlation between body image and self-esteem among those who use online dating apps and body image significantly predicts self -esteem. In addition, society as a whole can relax its judgement of persons who use online dating more regularly, who it incorrectly assumes are trying to make up for shortcomings in their offline lives.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Body image, Self-esteem, online-dating,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The objective of this study is to formulate and evaluate poly-herbal shampoo for cosmetic purpose from herbal ingredients. Hibiscus powder, Neem powder, Henna powder, Amla powder, Shikakai powder, Ritha powder, Alo-vera gel was procured from local market in powdered form also gel form Banyan root powder and Soya milk is prepared by homemade method, then prepared decoction of these ingredients and mixing with each other and evaluated for its organoleptic and physico-chemical characteristics. Herbal shampoo is used to cleansing of the hair also conditioning, smoothing, of the hair surface, good health of hair, hair free of dandruff, dirt grease and lice above all, it's safety benefits are expected.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal shampoo; Eclipta prostrata, Sapindus indica, Evaluation of shampoo

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper discusses with the review of using Carbon Nanotube (CNT) for development of Ultra-high strength concrete (U.H.S.C.). MWCNT'S will be used as nano reinforcement in cement, this improves microstructure of cement. Hence objective of this literature survey is to collect past data on properties of concrete by application of carbon nanotube. The CNT are highly recommended because of their high strength behaviour with less quantity of dosses. CNT is majorly known for properties such as high tensile strength, stable chemical nature, corrosion resistance & high thermal behaviour. But we will study only few properties such as microstructure behaviour, compressive strength, tensile strength & flexural strength

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Multiwalled carbon nanotubes, compressive strength, microstructure behaviour.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The degree of acidity(pH) and total dissolved solids (TDS) is very important for the fish's health. The Fish in the aquarium release their waste in the form of ammonia. Ammonia is toxic to all other aquatic organisms. The high level of ammonia in water will affect the pH and TDS levels of water. If pH and TDS levels in the water are not good then it will affect the fish's health. Usually, the pH sensor and TDS sensor are used to monitor the pH value and TDS value. The fish requires a 7-7.5 pH value and 400ppm-450ppm of TDS value. If these sensors are not working properly, then it will affect the fish in the aquarium. This proposed system stores these sensor values for one day in a CSV file(dataset). The isolation forest algorithm is used for detecting the outlier in the dataset. The Linear regression algorithm is used for predicting the pH value and TDS value range. Based on the prediction, the pH level and TDS level of water can be checked once again and then can be changed. By detecting the outlier we can identify the hardware faults in the system. By predicting the pH value and TDS value, the water can be changed on time to save the aquatic organisms.

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 Keywords

Prediction, TDS value, outlier detection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays, cosmetics are becoming more high demand in daily life and it was used frequently by many of people per year. Mankind uses various products to enhance beauty and elegance to look young and charming. Cosmetics thus play a vital role in human life. Now days, herbal cosmetic are widely used because of the belief that they have fewer side effects and better safety. Hair is one of the primary parts of the body which acts as a protective appendage. The main objective of the present work is to develop an herbal hair serum for general purpose (daily use) using various herbs with this evaluate the characteristics of cosmetic serum and to identify the best formulation of cosmetic serum. Three formulations of cosmetic serum (H1, H2 and H3) with different concentration of excipients have been developed. They were evaluated for its physical appearance, pH, homogeneity test, viscosity, spread ability test and stability test. All the parameters were found to be good and within the standards. Current research has revealed that herbal formulations are effective in enhancing hair consistency.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cosmetic, hair, herbs, formulation, effective, Beauty, Herbal hair serum

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Creative Commons Attribution 4.0 and The Open Definition