Challenges in development and implementation of Indian smart city mission
The rapid rise in India’s urban population is mainly in search of employment and education. Due to this rapid urbanization, the government is suppressed to concentrate on solutions for certain problems like overcrowding, pollution, resource constraints, needs for the development of infrastructure and restoration of ageing Infrastructure. As to meet these demand and problems, India has stepped into developing and constructing major cities as Smart cities in 2015 as ‘National Smart Cities Mission’ under Union Ministry of Urban Development. It is an initiative to make these cities friendly and sustainable to citizens as well as to nature. Some major barriers in developing a smart city in India are financing or allocation of budget, availability of resources, planning with most advanced techniques and making people used to it, rehabilitation and resettlement of huge population. Indian cities are already well-developed cities when compared to others, but through proper planning and implementation, it can also be made into Best smart cities in the world. This paper focuses on the Idea of Smart City, concept of smart city mission of India, its challenges and implementation. And also about the Smart city solutions and initiatives in some of the major smart cities of the world.
Published by: Hariprasanth Yuvaraja
Author: Hariprasanth Yuvaraja
Paper ID: V6I5-1373
Paper Status: published
Published: October 20, 2020
A comparative study of psychological well-being between working and non-working mothers
Nowadays, world is equally ruled by men as well as women in almost all aspects. Working mothers are more effective in managing both work and family. Psychological well-being of working mothers has gained a significant amount of interest among researchers. The following study aimed at digging out the difference between working mothers and non working mothers on Psychological Well-being. The total sample for this research was 40 women comprising of 20 working and 20 non working women who are mothers. The age range of the participants was 35 to 55 yrs. For assessment, Ryff’s Psychological Well-Being scale was used. The obtained scores were analysed by One Independent t-Test on SPSS software. As a result, it was found the the hypothesis, Working mothers will be high on psychological well-being as compared to non working mothers, is rejected.
Published by: Apurva Satbhai
Author: Apurva Satbhai
Paper ID: V6I5-1365
Paper Status: published
Published: October 20, 2020
Efficiently diagnosing breast cancer detection from histological images by combining FCN and BI LSTM model
Bosom disease (BC) is one of the most continuous kinds of malignancy that grown-up females experience the ill effects of around the world. Numerous BC patients face irreversible conditions and even passing because of late determination and treatment. Thusly, early BC analysis frameworks dependent on obsessive bosom symbolism have been sought after in ongoing years. In this paper, we acquaint an end-with end model dependent on completely convolutional network (FCN) and bidirectional long momentary memory (Bi-LSTM) for BC discovery. FCN is utilized as an encoder for elevated level element extraction. Yield of the FCN is gone to a one-dimensional arrangement by the smooth layer and took care of into the Bi-LSTM's information. This technique guarantees that high-goal pictures are utilized as immediate contribution to the model. We directed our investigations on the Break his information base, which is openly accessible at http://web.inf.ufpr.br/vri/bosom malignant growth information base. So as to assess the execution of the proposed strategy, the exactness metric was utilized by considering the five-overlap cross validation procedure. Execution of the proposed technique was discovered to be in a way that is better than already announced outcomes.
Published by: K. Venkata Shiva Rama Krishna Reddy
Author: K. Venkata Shiva Rama Krishna Reddy
Paper ID: V6I5-1340
Paper Status: published
Published: October 20, 2020
A text mining based automated BIM model data checking system
Building Information Modelling (BIM) has been widely used in the construction industry describing geometry of the building, spatial relationships and geographic information, as well as the quantities and properties of BIM objects and their properties. With large amounts of data exported from building information models, BIM data checking usually costs large amounts of man-hours to guarantee BIM model quality. In order to improve accuracy and efficiency for model data checking, applying machine learning techniques is highly expected. The machine learning algorithms can be used by combining data from many buildings, the characteristics, and location of flats to automatically detect flaws of building design, or even the likelihood of construction delays. Anomaly detection is useful to pinpoint modelling errors. In this project, semantic natural language processing technologies embedded with a machine leaning engine is developed to realize (1) automated object and property information retrieve from the massive BIM mode data, (2) similar objects recognition and naming consistence checking, and (3) automated BIM model data completeness and accuracy checking. The machine learning engine is wrapped by a dashboard-based user interface to facilitate manual object/property checking or batch data checking. The specially designed modules of the machine learning engine are allowed to be customized to support different construction regulatory requirements.
Published by: Rong Wen, Long Xiao
Author: Rong Wen
Paper ID: V6I5-1300
Paper Status: published
Published: October 20, 2020
Program Management Office (PMO) in UAE
Managing projects can be a challenging task due to the number of activities it has and managing a group of projects can also be a harder task, and here comes the projects or program management office role. The importance of having a PMO in any organization relies on the benefits it provides to organizations such as visibility, alignment, maximizing project benefits, and enhancing control over projects through governance (Misner, 2008). The goal of conducting this research is to understand the PMO role in the government entities and highlight the challenges occurring in organizations and provide suggestions to enhance its benefits. This paper will discuss PMO definition, its advantages, its roles and types, PMO in government organizations, its challenges, and steps to strengthen its role and illustrate data gathered from interviews which will be analyzed based on literature review.
Published by: Alsghaira Alkaabi, Khalil Alabdooli, Salama Al Harmoodi
Author: Alsghaira Alkaabi
Paper ID: V6I5-1312
Paper Status: published
Published: October 20, 2020
Performance Improvement of Grid-Integrated Solar PV System under Uncertainties and non-linearities
The various power quality (PQ) issues in a grid connected solar system arises because of intermittent nature of solar and uncertain loads at the consumer end. The reasons of uncertainties are; nonlinearity, disturbances or unbalanced loads. A three-phase grid-integrated solar photovoltaic (GISPV) system incorporating a control technique based on a modified partial integral (PI) based inverter control algorithm. The controller is so designed so as to obtain the streamline overall performance of the GISPV under adverse conditions.
Published by: Neha Nand
Author: Neha Nand
Paper ID: V6I5-1356
Paper Status: published
Published: October 19, 2020
