Factors controlling scheduling of construction projects
The occurrence of a delay in the construction project is a common problem in civil engineering. There is an increase in the number of construction projects experiencing extensive delays leading to exceeding the initial time and cost budget. The delay is a situation where the actual progress of a construction project is slower than the planned schedule. This paper presents a major construction delay caused by rank order retrieved from past literature by analyzing several negative effects. Even though over the years, existing delay analysis techniques (DATs) for aiding this decision-making have been helpful but have not succeeded in curbing the high incidence of disputes associated with delay claims resolutions and a major source of the disputes lies with the limitations and capabilities of the techniques in their practical use. Developing a good knowledge of these aspects of the techniques is of paramount importance in understanding the real problematic issues involved and their improvement needs. So analyzing all the data’s over a decade this paper seeks to develop such knowledge and understanding. Thus this paper presents a major construction delay caused by rank order retrieved from past literature. It is followed by collecting a list of factors that cause the delay in a construction project. The collected factors are analyzed categorized into groups with ranking. A scheduling model of the apartment building is developed using MS-Project. To develop delay factors influencing in the model. As a result, the comparison between actual schedule progress and factors influencing the schedule are determined. From the study, the unforced delay is identified, so that that delay can be considered in the developing of any future construction scheduling work.
Published by: Haritha C., Dr. K. Murali
Author: Haritha C.
Paper ID: V5I3-1479
Paper Status: published
Published: May 20, 2019
Tackling aquaphobia using Virtual Reality
Aqua phobia is a disease caused due to many cases such as rabies, inheritance or previous false experiences with respect to water. In some cases, the cause of this disease is eradicated, but the disease itself is a phobia therefore, it remains in the mind. Such cases are taken to a psychologist or a psychiatrist, which causes individuals lot amount of charges. Therefore, a costeffective solution is needed for this critical issue. Virtual Reality creates an environment for any individual which is totally different form the current reality. This might prove to be a solution for the issue of Aqua phobia. Virtual Reality has the ability to render environments where an Aqua phobic individual can experience the fearsome situations visually. The proposed plan focuses on simulating different environments (levels) wherein fearsome environments of different intensity would be provided to the Aqua phobic people. While experiencing these environments visually, the individual would be in coordination with a pulse-rate sensor. This sensor, integrating with the application would provide a percentage on removal of Aqua phobia for that respective level. If the percentage amount crosses certain percentage, then the individual would be able to move on to the next level. This project aims on reducing effect of Aqua phobia, as the related diseases are removed but the phobias which are caused due to the diseases retain. In future, the project aims to tackle Claustrophobia and Arachnophobia as well.
Published by: Sanket Tembekar, Rohit Modak, S. P. Patil
Author: Sanket Tembekar
Paper ID: V5I3-1471
Paper Status: published
Published: May 20, 2019
Intelligent pothole detection via deep learning using Raspberry-Pi microcontroller
Bad road conditions are public trouble, causing passenger discomfort, damage to vehicles, and accidents. In India, 9300 deaths and over 25000 injured in 3 years due to potholes according to Ministry of road transport and Highways. Often we complain about bad roads, we have no proper way to detect or report them at scale. To address this issue, we have developed a system to detect potholes and assess road conditions on the go. Our solution is a raspberry pi that captures data on a car’s movement from gyroscope and accelerometer sensors in the Sense Hat sensor. To assess roads using this sensor data, we trained SVM model and Multi layer Perceptron Neural Network to classify road conditions with 97% accuracy. As the user drives, the models use the accelerometer and gyroscope sensor data to classify whether or not pothole is present. Then, the classification results are given to the public to drive by looking at the Potholes in map. Our system will empower civic officials to identify and repair damaged roads which inconvenience passengers and cause accidents
Published by: Pruthvi Gowda R., Ankith A. S., Hari Prabhanjan L., Kiran Acharya, Dr. K. N. Rama Mohan Babu
Author: Pruthvi Gowda R.
Paper ID: V5I3-1462
Paper Status: published
Published: May 20, 2019
Intelligent vehicle accident detection and ambulance rescue system
The accident is the major fatalities in the world. Where the victims die with lack of emergency personnel or remain unnoticed over the night. Road accident is a collision between any vehicles or it can be with any pedestrian, animal and any obstacle placed on or off the road. The mortality rate of the victim depends on the time taken to reach the accident location and to reach the hospital by ambulance. As time increases the mortality rate of the victim also increases. In this paper, we introduce system that automatically detects the accident occurrences and notifies the recorded ambulance through GSM and GPS module, and the time delay is minimized by introducing RF module at the traffic signals. Whenever an accident occurs the vibration sensor senses the accident occurrence automatically makes microcontroller to retrieve the location of the accident through GPS and GSM will notify the recorded ambulance driver with messaging which consist of longitude and latitude coordinates of the location. If the current ambulance which received the message is not available then the message is sent to the next ambulance number, so that immediate help can be provided. This system also controls the traffic signals in the path of an ambulance by providing RF communication between the ambulance and traffic section. The methods used in the paper are fully automated which finds the accident spot, controls the traffic lights, helps to reach the hospital as soon as possible.
Published by: Nayan Kumar R. N., Navya V. R., Ganashree N., Pranav K. U., Ajay N.
Author: Nayan Kumar R. N.
Paper ID: V5I3-1452
Paper Status: published
Published: May 20, 2019
Sustainable participation of Artificial Intelligence in design process
The rise of AI has been in the core of several speculations about it taking over all the jobs from humans, however, Artificial intelligence is also recognized as one of the most disruptive technological advancement of the 21st century. This paper talks about the role of AI in the process of design, considering the role of human intelligence and artificial intelligence in an eco-system of the design process. Paper articulates conclusive note postulating sustainable roles of artificial intelligence in the design process. The paper should be helpful for professional designers, engineers, developers, visionaries, academicians and CXOs to understand and define the future scope of artificial intelligence in design. It should also be helpful to students and practitioners interested in the subject to understand, dream and imagine new aspects of human-machine interactions.
Published by: Abhijeet Shukla
Author: Abhijeet Shukla
Paper ID: V5I3-1451
Paper Status: published
Published: May 20, 2019
An in-vivo study to evaluate the clinical efficacy of different gingival retraction systems
Background: Meticulous impression of the prepared teeth is of extreme importance for successful fixed prosthetic restorations. Gingival retraction allows access to finish lines and to create space for the impression material to record prepared and unprepared tooth structure. Dentists should carefully consider the various materials and methods of gingival retraction in light of the potential risks involved. Aim: The aim of this study was to assess and compare the amount of displacement in terms of lateral displacement by the Expasyl and Magic FoamCord retraction systems. Materials and methods: Study was conducted on the unprepared right and left maxillary central incisors for 10 subjects. Subjects were selected based on certain selection criteria. The pre-displacement and post-displacement impressions were made in a custom tray with monophase addition silicone material using a single mix-one step impression technique. Final cast of maxillary central incisors was sectioned longitudinally into two equal halves. The sectioned halves were oriented on mounting jig using a spirit level and assessed under a traveling microscope. The measurements were made from the crest of the gingival margin to the mid-buccal surface of the tooth. The amount of gingival displacement in each group was calculated by subtracting the pre- displacement values from post-displacement values. From the observations obtained statistical analysis was performed using paired 't' and unpaired 't' test. Results: Group I produced more amount of lateral displacement than Group II. However, the amount of gingival displacement between Group I and Group II showed a statistically significant difference. Conclusion: Expasyl pastes retraction system showed more lateral displacement of gingiva compared to Magic Foam Cord system.
Published by: Dr. Imtiyaz Ahmed Magray, Dr. Arwah Bashir, Dr. Adil Fayaz
Author: Dr. Imtiyaz Ahmed Magray
Paper ID: V5I3-1444
Paper Status: published
Published: May 20, 2019
