Volume 10 | Issue 5

 Abstract

This paper presents a low-cost flexible and reliable home automation system. By using this project user can monitor and control the home appliances anywhere in the world. This IoT-based home automation system has the following features. Control appliances with Alexa and Arduino IoT Cloud dashboard, control the relays with the IR remote, control appliances manually with push buttons. And also monitor the real-time room temperature in the Amazon Alexa app and Arduino IoT Cloud. The purpose of this project is to control home appliances with the internet from anywhere in the world. If there is no internet available still, we can control the appliances manually by using IR remote and push buttons. The home automation system not only refers to decrease human efforts but also save the energy and time competence. To demonstrate we are using ESP32 module in this project. It helps the user to monitoring the room temperature and controlling the home appliances.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ESP32, 4 CHANNEL RELAY, ALEXA, Arduino IoT Cloud, DHT11

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The growth in internet and e-commerce appears to involve the use of online credit/debit card transactions. The increase in the use of credit / debit cards is causing an increase in fraud. The frauds can be detected through various approaches, yet they lag in their accuracy and its own specific drawbacks. In this work, the behavior-based approach to classification is used to improve its accuracy. If there are any changes in the conduct of the transaction, the frauds are predicted and taken for further process. Due to large amount of data credit / debit card fraud detection problem is rectified by the proposed method. The credit card frauds can be detected by evaluating the CC purchasing patterns using the historical data in order to detect the frauds. This data evaluation can help the banks or other organizations offering credit cards to minimize their losses due to the credit card frauds. The historical data evaluation with the current purchasing patterns requires the statistical modelling, which can automatically evaluate the fraudulent patterns and alarm the banks about the transactions. This helps the banks for early detection of the frauds, where they can easily eliminate the CC frauds by declining the suspected transactions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyber security, Credit card, Machine learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Shershabadia, Sher Shah Abadi, Nuristani, Quraishi, Sarsabad, Shershabadi.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nanotechnology has applications in practically every department of science, including physics, biology, chemistry, medicine, and engineering. One of the most potential applications of nanotechnology is in medical technology. Designing multifunctional nanoparticles capable of targeting cancer cells, delivering and releasing medications in a controlled manner, and detecting cancer cells with high specificity and sensitivity are just a few examples of how nanotechnology might be used to treat cancer. Chemotherapy and radiation are well-known cancer therapies, but they have various drawbacks, such as a lack of early illness identification and non-local medication distribution. Because the exact medication concentration reaches not just the tumor site but is disseminated throughout the body, these therapies have a limited capacity to cure and monitor the drug's effect in the human body. To some extent, nanotechnology has allowed us to circumvent these restrictions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nanotechnology, Nanoparticles, Cancer,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

MeetAll is a video calling web app which basically provides a direct real-time connection with remote devices after connecting with the server. It uses a peer-to-peer audio and video calling application function. In order to initiate the connection, users have to go through the signalling server to identify and locate the remote peers. After the session is established, two-way direct connection can be activated without going through the signalling server. MeetAll is assumed to be used by two persons at one session. Users can use their own workstation or any other devices as long as it contains an HTML5-enabled browser and the browsers supported by Web Real-Time Communications(WebRTC).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Web Real-Time Communications(WebRTC).

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Embedded System, Arduino-Nano, Traffic Lights, RF Module.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Public health is an art and science which promotes and protects the health of the individual and the community where they live, learn, work, and play. Public health aims to understand and influence the socioeconomic determinants of health and to study the structure of health systems as efficient channels for health services (PHFI, 2014). The national datasets show variations and inequalities in health status, health access, and nutritional status across socio-religious groups in India (Government of India, 2006, 2007a, 2007b, 2014). The statistical surveys documenting child mortality highlighted higher rates among SCs/STs, followed by Muslims. Similarly, stunting, wasting, underweight, and anaemia in children and adults are higher among Muslims with marginal differences between SCs/STs. National reports also documented a similar picture of low lower accessibility and utilization of health services among Muslims. Muslims are worse off than most other communities concerning child under-nutritional statuses. The study aims to understand inequality in health and nutritional status across different religious groups in India and its association with socioeconomic status. The study is based on a review of secondary data available on different socioeconomic variables, health status, nutritional status, and accessibility of health services, especially for Muslims. The relevant data from available large scale data sets are identified, compiled, and analyzed. To conclude, the study disclosed that health inequalities escalate according to social inequalities. The study provides a substantial base for future studies to look at other dimensions of public health among Muslims.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Inequalities, Public Health, Socioeconomic, Muslim, and India

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Exercise counter, curl counter, Pushup counter, AI Gym

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The project introduces an application using computer vision for Hand gesture recognition. A camera records a live video stream, from which a snapshot is taken with the help of interface. The system is trained for each type of count hand gestures (one, two, three, four, and five) at least once. After that a test gesture is given to it and the system tries to recognize it. Research was carried out on a number of algorithms that could best differentiate a hand gesture. It was found that the diagonal sum algorithm gave the highest accuracy rate. In the preprocessing phase, a self-developed algorithm removes the background of each training gesture. After that the image is converted into a binary image and the sums of all diagonal elements of the picture are taken. This sum helps us in differentiating and classifying different hand gestures.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Augmented Reality, Neural Networks.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pile foundation are commonly adopted to transfer the loads from the superstructure through weak strata onto the stiffer soils or rocks. Therefore the reliability of pile-supported depends largely on the behavior of the piles. Pile Foundation consist of piles that are dug into soil till a layer of stable soil is reached. Pile foundation transfer building load to the bearing ground with the greater bearing capacity. Pile foundation are useful in region with unstable upper soil that may erode, or for or for large structures. Pile foundations are often required to resist lateral loading. Lateral loads come from a variety of sources including wind, earthquakes, waves, and ship impacts.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CASE STUDY ON PILE FOUNDATION

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The COVID-19 pandemic has resulted in schools shutting all across the world. Globally, over 1.2 billion children are out of the classroom. As a result, education has changed dramatically, with the distinctive rise of e-learning, whereby teaching is undertaken remotely and on digital platforms. Research suggests that online learning has been shown to increase retention of information, and take less time, meaning the changes coronavirus has caused might be here to stay. E-Learning is an advanced system and powerful tool which supports teaching and learning by the use of Information and communication technology. It bridges the gap between a teacher and a student in different geographical locations. E-Learning is the use of technology to enable people to learn anytime and anywhere. In this presentation, we are presenting the idea of our web-based E-Learning Classroom platform. This app contains various features that are essential for conducting online learning such as Live Video Lectures, Online IDE, Assessments tool, Assignments Tool, etc. We are also presenting the workflow for the development behind this app, the stakes involved, and the scope of this app in the real world.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-Learning, Cloud Computing, Web Application Model, WebRTC

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetes is a disease caused by a high level of glucose in the human body. Diabetes should not be ignored if it is not treated, then Diabetes can cause serious problems for a person such as: heart problems, kidney problems, high blood pressure, eye damage and can affect other parts of the human body. Curing diabetes can be easier if it is predicted earlier. In order to achieve this project goal we will be able to predict Diabetes in the human body or patient with the highest accuracy by applying, Various Machine Learning Strategies. Machine learning is used to predict accurate values with the available set of patient informations so the accurate values of the diabetes based on the individual can be predicted accurately. In this activity we will use the Learning Machine Planning and compile data to predict diabetes. Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Neighboring K-Nearest (KNN), Gradient Boosting (GB) and Random Forest (RF). Accuracy is different for all models compared to other models. Project Work gives a more exact or precise model appearance that the model can precisely foresee diabetes. Our outcome shows that Random Forest has accomplished higher exactness contrasted with other AI systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning; vector support machine; predicting diabetes.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The most important challenge of the construction industry is to extend the life of the project work. This is possible by improving the quality of materials like steel bars, cement water quality etc. But in this review we focus specially on concrete, what are possible ways to increase the properties of concrete. Within the last decades new technology was invented in Russia and China called as magnetic water technology. This technology used in construction industry. Magnetic water was created using electromagnetic fields. In this magnetic water technology, a mechanism for magnetic water treatment was designed and its application on the ions contain in water has been passed through magnetic field to check the effect of magnetic water on concrete and change in the physical properties of the tendency.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Magnetic water, Magnetic technology, magnetic field, compressive strength, workability, water quality.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There are few approaches to character distinguishing proof. Basic stages of character recognition incorporate pre-processing, segmentation, features extraction and classification of features. A few classification techniques have been talked about in this paper, such as neural network, System Vector Machine (SVM), coordinating models, etc. The issue of character affirmation has been turned out from different viewpoints. One of the foremost well-known ways is as character grouping. Character course of action could be a zone wherein a system can recognize the assorted information boosts in an imperative gathering as shown by the highlights show within the data character. In this paper we investigate the Hindi Offline written by hand word acknowledgment (HWR) that we are making. In the HWR, we utilize OCR Framework, OCR is the strategy of taking pictures or pictures of letters or typhoid content and interpreting them into data that the computer can effectively translate and in Convolutional Neural Network (CNN). The proposed framework has been prepared on tests of a sizably voluminous set of database pictures and tried on tests pictures from utilizer characterizes information set and from this try we accomplished exceptionally tall apperception comesabout.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HWR, OCR System, feature extraction, Python, CNN.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In recent years, emotion recognition has become a rapidly increasing research subject. Machines, unlike humans, lack the ability to perceive and express emotions. However, automatic emotion recognition can improve human-computer connection, minimizing the need for human intervention. The manufacturing properties of these signals are extracted using signal processing methods. The studies use the source's instantaneous fundamental frequency (F0), the system's formants and dominant frequencies, the zero-crossing rate (ZCR), and the combined features signal energy. Zero-frequency filtering (ZFF) is used to produce F0, while LP spectrum is used to obtain formants and dominating frequencies. A rectangular window of 200 samples is used to derive short-time signal energy (STE) and ZCR in the voiced and unvoiced regions. The main goal of SER is to improve the human-machine interface. It can also be utilised in lie detectors to check a person's psychophysiological condition. Speech emotion recognition has recently found applications in health and forensics. In this work, pitch and prosody traits are used to distinguish seven emotions. The majority of the speech features used in this study are time-domain features. The emotions were classified using a Long Short Time Memory (LSTM) classifier.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Speech Emotion Recognition,Long Short Time Memory , Mel-Frequency Cepstrum

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The focus of this study is on the women consumers who purchases land in Coimbatore city. In recent times women prefer to buy land than gold, etc. And real estate industry is also the one of the employment generation sectors in India. This pandemic has also a huge influence in the thought of safe investment in the minds of people, especially women. This study focuses on which age group of people is interested in investing in lands, why do they prefer land than any other property, whether women face any problems while purchasing the land and the important factors which influences the women consumers in choosing the land. By using percentage analysis and chi square analysis this project has been done. The findings of the study are there is no relationship between educational qualification and investment style of customers, people of every age group have developed their interest towards fitness. Majority of people belong to an income category below Rs. 20,000 and there is relationship between income and how do consumers prefer to buy the land. Majority of the respondents are homemakers and also only completed schooling. In conclusion most of the people does not have awareness about the real estate sector and it is the duty of the government to create awareness about this sector

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

land, Women consumers, Purchasing, Problems faced

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Duplicate Record Detection, Cross Language Systems, and entity matching. Data Cleaning, Duplicate Data

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Identification of Kloma, its function, site and relation with Srotas is still a debated issue and no unanimous opinion has been emerged so far. In our Samhitas there are many references about the Kloma . In Samhita the Moolasthana of Udakavha Srotas is mentioned as Talu and Kloma . Kloma is the organ situated on the right lateral side of the Abdomen below the Liver and also called as Tila. Some scholars correlate the Kloma with right Phuppusa or Mediastinum or Kloma nalika or Pancreas. But by justification, it can be correlated with Right Suprarenal gland.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Kloma , Udakvaha Srotas , Pipasa , Talu , Right Suprarenal gland.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mobile online shopping applications are an essential use for many people who want to buy products from their location. The technology developed paves the way for these mobile online shopping applications, making it easier and faster to do business. Product promotion plays an important role in online mobile applications. Presenting products in digital format is very important for online sellers. The idea of an online seller is to attract online buyers and get them to buy a product. Online shoppers are fascinated by the image of the product displayed in the mobile application. Many online mobile applications do not publish the actual image of the product, but promote 3D rendered images that resemble the actual product. Many online shoppers look at these images to buy an item and understand when they will actually receive it. These 3D images create the best possible reality for a real product. In this study, we analyse actual product images and 3D design images, analyse how customers realize these images after purchasing the product, and compare them with the 3D design images displayed in mobile shopping applications. This research is done using a qualitative method and content analysis tools are used for data analysis. The data is analysed by the top 4 trending mobile shopping apps, and the products are analysed by each mobile app along with the ratings of the customers who purchased the product. The data will analysed from top four trending shopping mobile applications and one product will be analysed from each mobile application with the review of costumers who has purchased the product. The comparison of real product image and 3D designed image shown in the shopping mobile application will be analysed and differences will be shown through images.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Images, Online shopping, Mobile applications, 3D Images,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The SAS application is an API (Application Programming Interface) based on online emergency applications useful to contact the mentioned emergency contacts. The user will only have to provide a GPS location of the area to be searched. With the help of this application, the user will also be able to make calls and send messages to a selected person. In this project, the application can be scaled up to the procedures that can be carried out in an emergency. For future scope is that the application can be mapped into any other operating system and can be used on any device. Since this application is phone-based, it can run on any Android OS-based device. It is a mobile phone application that anyone can use.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SAS-Save All Souls, GPS-Global Positioning System, SMS-Short Message Service, SOS-Save Our Souls, IOS-iPhone Operating System, OS-Operating System

  License

Creative Commons Attribution 4.0 and The Open Definition