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Abnormal driving behavior detection via Deep Learning Approaches

During this period detection of abnormal driving is more important. It give safety to passengers and drivers in vehicle . In our proposed method deep learning methods used for abnormal driving behavior prediction. Deep learning classification methods are more applicable of various fields. The applications are computer vision, speech finding, language processing, audio identification, medical image analysis, bioinformatics and self driving cars. Our simplified method we use three deep learning methods such as CNN, Deep Residual Network and Visualized Geometric Group16. The CNN extract high level features such as hidden object in an image and doesn’t need hand designed features. For the purpose we use one dataset that contain 22,424 color frames (images).In the existing system that use novel deep learning fusion methods to detect abnormal driving behavior and the accuracy of that dataset is 82%. Our proposed method revealed an accuracy 87.44%. So new method more better than the existing method.

Published by: Roy T. P., Ancy Omanakuttan

Author: Roy T. P.

Paper ID: V6I5-1318

Paper Status: published

Published: October 9, 2020

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Research Paper

A comparative study of profitability performance of selected real estate companies after Real Estate Regulation Act, 2016

Real estate sector in India is witnessing a huge uprising in current period as it has become as one of the essential contributor in the growth of the Indian economy. The RERA Act 2016 helps to protect home buyers right as well as promote investment in real estate sector.

Published by: Ranjit Karsan Modhvadiya

Author: Ranjit Karsan Modhvadiya

Paper ID: V6I5-1315

Paper Status: published

Published: October 9, 2020

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Research Paper

A study on regulatory measures for investors protection in stock market

Investor’s protection involves various measures taken by regulatory mechanisms to protect the interest of investors from fraudulent and malpractices. Investor’s protection legislation is implemented under section 11(2) of SEBI Act, to take into consideration the interest of investors, the framework design for this purpose involves proper regulation on the activities performed by stock exchanges to carry out activities relating to investor awareness and training program. So it is the responsibility of the regulatory mechanisms to take various measures for the betterment of the interest of the investors. The emphasis under the present paper is given to issues relating to awareness about investors' rights and duties, opening up Mutual Funds business for private players, compulsory internal audit and secretarial audit for depository participants, and mandatory PAN for dealing in securities. Further, an attempt has been made to know the perception of investors towards these issues.

Published by: Kuldeep Singh, Dr. S. S. Narta

Author: Kuldeep Singh

Paper ID: V6I5-1291

Paper Status: published

Published: October 8, 2020

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Research Paper

Capital Punishment

Capital punishment, also known as the death penalty, is a government-sanctioned practice whereby a person is put to death by the state as a punishment for a crime. The phrase 'capital punishment' comes from the Latin word for the head. A 'corporal' punishment is carried under due process of law. Capital punishment is a matter of active controversy in several countries and states, and positions can vary within a single political ideology or cultural region. Amnesty International holds that the death penalty breaches human rights, in particular the right to life and the right to live free from torture or cruel, inhuman, or degrading treatment or punishment. Both rights are protected under the Universal Declaration of Human Rights, adopted by the UN in 1948.

Published by: Soumya Sharma

Author: Soumya Sharma

Paper ID: V6I5-1314

Paper Status: published

Published: October 8, 2020

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Research Paper

Study of irregular multi-storey RC frame subjected to seismic condition analysis with STAAD Pro V8i software

These analyses intend to the seismic response of different vertical irregularity structures. The study of this project is done by Response spectrum analysis (RSA) of vertically irregular RC structure. This study includes the modelling of regular and various irregular structure having area of 20 m X15 m and height of 3.2 m from each except ground floor for G+7 storey .The performance of this structure during this study seismic activity motions depends on the distribution of stiffness, strength, and mass in both the horizontal and vertical planes of the structure. The main aim of this work is comparative study of the stiffness of the structure by considering the three models in Regular Structure and three models in Plan irregular structure with different Vertical irregular structure. All models are analysed with dynamic earthquake loading for the Zones V .Result found from the response spectrum analysis that in irregular shaped structure displacements are more than that of regular shaped building. All building frames are modelled & analysed in software Staad. Pro CE. Various seismic responses like base shear, frequency, node displacement, etc. are obtained. The overall performance of regular building is found better than irregular building .The seismic performance of multi-storey regular building is determined by Response Spectrum analysis in STAAD Pro. Software.

Published by: Smita, Juhi Nigam

Author: Smita

Paper ID: V6I5-1308

Paper Status: published

Published: October 8, 2020

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Research Paper

Design of soft storey in multi storey building with various combinations of beam and column using STADD Pro

Nowadays, building has provided by soft storey or weak storey. This feature is not suitable for building situated earthquake prone reason. In this study effect of soft storey in different height, different section of beam and columns while keeping their area constant. The determinations of percentage stiffness, maximum bending moment, maximum Shear force. The analysis is carried out by STAAD. Pro V8i. Here the present works (problem taken) are on a G+9 storied regular building. These buildings have the plan area of 15 meter x 15 meter with a soft storey height of 2.1 meter & 2.5 meter at first floor, and 4 meter constant height above first floor in all models. Depth of foundation is 2.5 meter, and the overall height of chosen building including depth of foundation are 40.6 meter & 41 meter. The analysis has done on computer with the help of STAAD. Pro V8i software using the parameters for the design as per the IS-1893- 2002-Part-1[B] for the Bhopal area and the post processing result obtained has summarized. It is concluded that from this study that the column section 200 mm x 450 mm is more suitable than, square column whose section is 300 mm x 300 mm, and a circular column whose diameter 340 mm. This is finding out on the basis of their area constant with different section.

Published by: Priyanka Chauhan, Vikash Ku.Singh

Author: Priyanka Chauhan

Paper ID: V6I5-1307

Paper Status: published

Published: October 8, 2020

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