Volume 10 | Issue 5 |

 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.

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 Keywords

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

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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.

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 Keywords

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

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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.

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 Keywords

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

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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

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 Keywords

land, Women consumers, Purchasing, Problems faced

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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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.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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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.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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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.

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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Biodiversity, Insects, Pilibanga, Hanumangarh, Arthropoda, faunal, species.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition