Volume 11 | Issue 5 |

 Abstract

Information and communication technology has been adopted as a positive technological change in almost every industry; and education industry has not been excluded from this revolution. Education is considered as an important key to the transformation & overall development of human life. In today's competitive world; being literate is not enough; perusing higher education is in demand. The quality of education can be enhanced when educational institutions embrace the innovative and quality ways for teaching & learning processes. ICT symbolizes 'new time' in the evolution of education. Usage of ICT in education industry includes using information & technology in the form of hardware, software & applications in collecting storing students' data, imparting knowledge through audio-visual aids, conducting examination & evaluation of students etc. To sum up, ICT can really be proved advantageous to enhance quality of higher education. Based on primary data; this paper aims at encouraging the use of ICT to enhance the quality of education by understanding the current status of ICT practice in educational institutions and identifying key benefits & challenges of ICT with special reference to institutes in Mumbai suburbs.

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 Keywords

ICT, education industry, Quality, teaching & learning, revolution

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 Abstract

A study on the saving and investment behaviour of home makers in Jogeshwari and Andheri region of Mumbai

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Creative Commons Attribution 4.0 and The Open Definition

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A study on the saving and investment behaviour of home makers in Jogeshwari and Andheri region of Mumbai

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Creative Commons Attribution 4.0 and The Open Definition

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The 5G backhaul will need to support a large bandwidth of devices and data, up to hundreds of gigabits of traffic from the core network. Building an efficient backhaul is critical to 5G to enable high speeds, large capacities and opening up a high bandwidth for numerous connected devices. Nowadays users demand faster speeds, quicker downloads, and quality internet connections everywhere they go. 5G backhaul enables devices to wirelessly connect wherever they are. Additionally, any type of device can connect including smart phones, smart cities, industrial equipment and medical devices. 5G Wi-Fi backhaul, or as a few seek advice from it, Wi-Fi transport, is a method for connecting broadband web, websites to the middle community in a Wi-Fi manner. In the case of cell networks, it is not unusual to attach a radio to community (RAN) tail site (e.g. a base station, end or node/GB) to the middle of the cell community - without the want to install optical fiber. It is used whilst high-pace wire line connectivity to telecom web web sites (generally through fiber optics) is unavailable, whilst fast deployment is required, and whilst a cost-green answer is needed. In fact, in step with a 5G Microwave Report, approximately 38% of all worldwide telecom web web sites might be linked to the relaxation of the community through Wi-Fi backhaul, with the aid of using 2025.

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5G Wireless Backhaul Networks: Challenges and Research on Internet Traffic

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Bitcoin was launched in 2009, several new cryptocurrencies have been initiated with variations to Bitcoin's original design. Bitcoin still remains the most prominent actor in the market. The objective of the research paper is to determine whether the newer cryptocurrencies solves the problem arises in the digital world, Instead of evaluating several cryptocurrencies for this comparison, the crypto currency Ethereum has been chosen as a proxy for the others. Ethereum was started in 2014, is widely backed in the community and is second in line to Bitcoin when it comes to market capitalization. As a basis for the comparative analysis a rigorous study of the Bitcoin and Ethereum protocols have been performed, and parallel descriptions of the systems have been devised. Three problem have shaped the focus of the analysis: computational waste, concentration of power and ambiguity of transactions.

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 Keywords

Cryptocurrency, Security, Blockchain, Bitcoin, Internet, Ethereum

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 Abstract

A Study on the Effectiveness of E- Learning Tools in the classroom.

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A Study on the Effectiveness of E- Learning Tools in the classroom.

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Creative Commons Attribution 4.0 and The Open Definition

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Too many people today rely on emails and messages sent by strangers. Since anyone can leave emails and messages, spammers have a great opportunity to spam about our diverse interests. Spam fills your inbox with a bunch of ridiculous emails. Your internet speed will drop significantly. It steals useful information such as contact list details. Identifying these spammers and spam content can be a hot topic for research and tedious work. Spamming is the act of sending a large number of messages via email. Since the cost of spam is primarily borne by the recipient, it is effectively postage-based advertising. Spam is an economically viable type of commercial advertising as email can be a very cheap medium for senders. Using Bayes' theorem and a naive Bayesian classifier, this proposed model can declare whether a given message is spam or not, and often finds the sender's IP address as well.

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 Keywords

Term Frequency, Naive Bayes, spam, ham, Language Toolkit.

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Music Genre Classification using Deep Learning based pre-trained convolutional neural networks

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Music Genre Classification using Deep Learning based pre-trained convolutional neural networks

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The Chenchus are Adivasi, their habitat is confined to the rocky hills and forested plateau of the Nallamala forest Range, extending on both sides of the Krishna River. They are the overwhelming majority of the speakers of the Dravidian tongue of Telugu. The Chenchus are characterized by a strong sense of independence and personal freedom. The current investigation delineates literacy and health practices prevalent among Chenchu group of Tribals in the state of Telangana. The main objective was to appraise the literacy and health practices among the tribal children. A sample of 120 was included from six tribal villages of Achampet region in Nagarkurnool District of Telangana State. Purposive sampling technique was used to identify the sample. An Interview schedule was prepared for Parents to elicit required information. The findings of the study demonstrated that there was no significant difference was found among the Parents on the literary and health practices among tribal children in the state of Telangana. Educational Implications as well as suggestions for further research were also portrayed.

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 Keywords

Literacy; Health Practices; Tribal Children; Management; Health issues

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Machine learning and deep learning have become increasingly important as a result of technological advancement. Handwriting recognition, robotics, artificial intelligence, and many more industries are now using machine learning and deep learning approaches. Such systems require data training, allowing our machine to learn and make the necessary predictions. In this research, a Handwritten Equation solver with a respectable accuracy of 98 percent is demonstrated. It was trained on handwritten digits and mathematical symbols using a Convolutional Neural Network and certain image processing techniques. The images of the digits 0 to 9, plus and minus signs (+), and handwritten symbols * make up the dataset. For the purpose of extracting the features, we shall use contour extraction. In this Project we build the model using convolutional neural network and train the model to evaluate the equations written by hand in this we use the dataset of numbers and operators written by hand. The input image of hand written equation is given the image is converted into gray background for this we use contour extraction for obtaining the features. The output is produced by the model by evaluating the equation.

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Machine learning; Artificial Intelligence; Contour extraction

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 Abstract

The sewage system must be monitored in order to maintain the city clean. Uneven sewage system monitoring causes drainage to become clogged. Blockages in the sewer system are a major source of sewer flooding and pollution. Workers may be involved in an accident as a result of their ignorance of the situation inside the manhole. To get the necessary output from the module, this model uses a regulator circuit, sensor driver circuit, microcontroller, serial communication devices, and IoT module. Our answer to this problem is an IoT system that warns municipal officials about overflowing drains immediately by notification at the city control centre, as well as citizens via a mobile app. The essential component of this system is a low-power IoT-based portable gadget that is mounted below the manhole cover. Nowadays, accidents due to broken and missing manhole covers are quite frequent. Manholes are not monitored properly in developing countries. These accidents can lead to serious injuries and also death. Hence, here we propose a system to overcome this problem. We have included an array of sensors for complete monitoring of the manhole cover so that such accidents can be prevented. This project includes a Tilt sensor, Level sensor for to measure the level of water which could need to crack information, a tilt sensor is introduced to indicate whether the manhole can tilt, in case of any alert due to any of the parameters we send an SMS to an APP trough wifi. Also, all the parameters are continuously updated on the APP.

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 Keywords

Manhole, Sewage, microcontroller, Atmega328P, Tilt Sensor, Level Sensor

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Creative Commons Attribution 4.0 and The Open Definition