Volume 8 | Issue 6 |

 Abstract

Before 2004 there was a paper based voting system called the Ballot Paper System. With the growth of technology, we have moved in to the electronic voting machine system, called the EVM. But now a days EVM are not safe, because of the hardware malpractice which includes virus, hacking as well as physical tampering. To overcome such situations we are proposing a new system called the Advanced Voting Machine (AVM). Initially the voters are enrolled using the biometric fingerprint. After the verification of fingerprint the voters can cast their vote. There by we can avoid the fake votes. The candidate details are already stored so the voters can easily choose the candidate. At the time of voting, camera will be activated and it will capture the image of the corresponding voter symbol and it will be stored in the database. These images will be processed to identify the symbols using the image comparison techniques, and based on that counting take place. After casting the vote a token will be generated to the voters in the encrypted form to their mobile phones. After voting token generated in mobile phones to the voters, through this token voters get the details of the voting like candidate name, party name and symbol of the party etc in which we can assure that vote will be given for the right person. Otherwise we can claim on it.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ADVANCED VOTING MACHINE (AVM)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Expect to build up a customized travel arranging framework that all the while thinks about all classes of client prerequisites and gives clients an itinerary arranging administration. This will empower the client in finding what they are searching for, effectively without investing energy and exertion.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Framwork ,empower, itinerary

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project aims at cleaning up the wall tiles in, hospitals, halls, malls, houses, and hotels. This project research aims to design and improve processes for cleaning the vertical wall surfaces. The brushing of wall tiles is usually annoying, repetitive, and boring daily routine work. It takes a very long time to maintain the health and hygiene of bathrooms. In today�s world maintain hygiene is an essential part of life, wall tiles clean-up is very essential to good health. This floor cleanup machine lessens the washing work needed. This concept is very helpful in our day-to-day lifestyles. Intelligent machines for floor cleaning are becoming more popular for working and growing populations. But the scrubbing of wall tiles isn�t common. This project gives a wall tile washing machine system idea.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

System to wash the wall, device to wash, machinery

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Urbanisation and urban growth has increased urban population and affected socio-economic conditions in urban areas. The study aim is to assess the impact of socio-economic conditions on quality of life (QOL) of residents of Yenagoa City, Nigeria. Objectives are to determine social and economic indicators to assess QOL of residents in the study area; assess the impact of social and economic indicators on QOL of residents in the study area; and suggest urban planning policy and socio-economic framework to improve QOL of residents of Yenagoa City. The study employed Mixed Methods Research (MMR) approach using concurrent triangulation research design. The study identified 29 communities in the study area and 6 communities (20%) namely; Famgbe, Yenagoa, Ovom, Yenizue-Gene, Yenegwe and Igbogene communities were randomly selected for the study. A total of 399 respondents were selected for interview using stratified sampling technique and key informant approach was also used to obtain quantitative and qualitative data. The study revealed that there are inadequate quantity of healthcare and educational facilities and services in the study area which has increase mortality rate and access to education. Employment rate and monthly income is low as most residents are in the informal sector. This has increase crime and violent activity in the study area. These conditions have impacted negatively on QOL of residents of the study area. The study suggested that Yenagoa Master Plan 2004 should be reviewed to provide urban social and economic facilities and services to improve QOL; control, guide and manage urban growth and development, prepare urban renewal schemes for the communities; develop a Local Economic Development (LED) plan and apply Participatory Planning Approach (PPA) to planning and development of communities to achieve sustainable urban development.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Urbanisation, Urban Growth, Social and Economic Conditions, Quality of Life & Urban Planning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: This paper gives and brief idea about the time and cost optimization by using network crashing technique. In this paper, the construction of a girl�s hostel building is taken as a case study. The brief procedure of network crashing is explained with proper example. The application of network compression technique is shown with all the necessary calculations in proper table format. We can get adequate result and conclusion by adopting this procedure and also obtain the optimum duration of the project with respect to its optimum cost.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Time Optimization, Cost Optimization, Network Compression Techniques.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents the Dark light project designed for visually impaired people using GPS and Arduino. Approximately, 285 million people are visually impaired and 39 million are blind according to World Health Organization. People who are visually impaired should depend on technological devices. Thus this project aims to develop �Dark Light� for visually impaired to connect them to real time environment. This contains Ultrasonic sensor connected with Arduino and it send the audio information to the people using headphones to convey the distance measured for an obstacle present in front of the people. It can be tracked and Google Assistant will Guide the visually impaired people to move exact location. The device can measure up to a distance of about 2m.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dark light, Blind vision, Third eye, Arduino for blind

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Construction industry is one of the most important sectors in the development of the country and it�s GDP. Bricks are widely used in the construction industry. Porotherm bricks are mainly made off clay mixed with coal ash, rice husk ash, saw dust and fly ash. In this experimental study bricks are made off natural waste material like rice husk ash and granite powder. The main objective of the study is to reduce the quantity of clay with natural waste material. On the other hand proper and efficient management of natural solid waste disposal can be done. Here we are replacing granite powder and rice husk ash in appropriate proportions to make light weight brick with same compressive strength. This study helps to identify the average water absorption ratio and compressive strength.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

porotherm brick, rice husk, granite powder,compressive strength, light weight

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The impartial of a firm is to allocate the resources in a way that meets the objective of maximizing wealth of all stakeholders by increasing the efficiency of the resources of the business. The dividend policy is focused on determining the returns to the shareholder from the earnings of the business. The objective of this study is to (i) investigate the annual dividend return by the sample of S&P BSE 500, BSE listed firms in India and (ii) investigate the dividend payout policy of the sample firms. Considering the usable sample of 164 companies, grouped into thirty-nine industry for the period from FY2015-16 to FY2018-19 i.e. span of 4 years shows results that the sample firms has been steady on an aggregate level in dividend payout policy and shows resistance with respect to change in policy. The overall performance of sample companies shows that the 4-year average of dividend yield was 1.53% with a variability range from 0.08% to 6.92%. Similarly, the dividend payout policy as measured in proportion of EPS and Cash EPS shows 4-year average as 39% and 29% respectively. The results also showed that on an average the architecture and engineering activities; technical testing and analysis (NIC code 71) has given the maximum dividend yield (6%). The dividend payout in proportion of EPS was highest (77%) for the manufacture of fabricated metal products, except machinery and equipment (NIC code 25) and dividend payout in proportion of cash EPS, the financial service activities, except insurance and Pension funding (NIC code 64) was highest (69%). In both the proportions, information service activities (NIC code 61) has recorded the minimum (1%).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

firms, dividend, dividend yield, dividend payout policy, profitability, efficiency

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Machine condition checking innovation has around for a long time, designed for advancing machine execution and limiting unplanned personal time. Since the appearance of the IoT, nonetheless, there has been development around machine condition observing. An IoT-based model for machine apparatuses condition examination with AI, IoT computerizes and adds knowledge to machine condition checking. In this paper different techniques are studied about machine tools condition analysis and classification. This examination surveys different techniques which are used to classify machine sound data. The center goal is to order the obtained machine sound sign into the comparing machine conditions effectively for example faulty and normal, which is generally a multi-class order issue.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine tools condition analysis, Machine learning, IoT, Sound data.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Automatic Emotion Recognition from audio signals is a challenging task for machines however it is quite easy for human. The audio signals vary according to different features such as pitch, loudness, timbre, speech rate and pauses. In this work, speech emotions were classified seven different emotions namely happy, sad, surprised, neural, angry, disgust, fear. A convolution neural network of nine layers has been applied to classify above emotions. Feature extraction is done through Mel-Frequency Cepstral Coefficient (MFCC).

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MFCC, CNN, SER, SAVEE

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Creative Commons Attribution 4.0 and The Open Definition