Applications of operations research tools in financial engineering
This research paper aims at establishing a dependence of the New era financial services on operations research tools and how operations research tools have become the essence of financial management fields. This paper also introduces Financial Engineering a revolutionary idea that has made finance instability more predictable and manageable.
Published by: Rishab Agarwal, Arpit Pruthi, Yash Kandpal, Siddharth Chaudhary
Author: Rishab Agarwal
Paper ID: V4I8-1144
Paper Status: published
Published: August 19, 2019
Teaching effects of numeric integration by using MATLAB Programming
Teaching mathematical programs parallel to a traditional course is being introduced all over the world and MATLAB is the most popular program for that. Numerical analysis is useful course which can solve various practical problems and research with the combination of mathematics and computer. In this paper, the demonstrating systems of numerical integration problems are implemented based on MATLAB. The structure of the system and some specific algorithms are given, including Rectangular Rule, Trapezoidal Rule and Simpson’s Rule. The main idea is to show basic principles and solutions to students that MATLAB could provide. They can extend knowledge gained from the MATLAB course on the other courses. This paper aims at teaching how to program the numerical integral with a step-by-step approach in transforming their algorithms to the most basic lines of code that can run on the computer efficiently and output the solution at the required degree of accuracy. In addition, this paper gives notes on the use of each of these MATLAB commands and programs through several Numerical examples.
Published by: Khin Ma Ma Than, Marlar Win Khin
Author: Khin Ma Ma Than
Paper ID: V4I8-1143
Paper Status: published
Published: August 14, 2019
Arduino based tracking system using GPS and GSM
The location tracking system is the combination of the Global Positioning System (GPS) and the Global System Mobile communication (GSM) technologies via the microcontroller. It is used to detect the GPS location of vehicles or any objects which are attached to a tracking device. The proposed system made good use of popular technology that combines a smartphone with an Arduino UNO. GPS is a satellite-based navigation technology that provides accurate location and information. The GSM module is used to transmit and receive an update from the object location to a database. Data from the numerous satellites are received by GPS receiver in the National Marine Electronics Association (NMEA) protocol form. The system SMS contains latitude and longitude of the location of the object. The NMEA code consists of a combination of information. Arduino is linked to the GPS and the GSM module in the serial connection. The GPS receiver sends data to Arduino. Then, Arduino instructs the GSM module to send the location data to the GSM enable device in a short message form. Thus, by using the tracking system, it is easy to calculate and get the estimate location and time for the vehicle to reach a given destination.
Published by: Thin Thin Htwe, Dr. Kyaw Kyaw Hlaing
Author: Thin Thin Htwe
Paper ID: V4I8-1137
Paper Status: published
Published: August 10, 2019
Reduce traffic cause on traffic point/light using image processing
The main objective of traffic jams increased by a number of motor vehicles and an increasing number of city population and development of the city's living style. We need a solution to handle this situation more effectively and usable. The management part of the traffic in Myanmar is using like training and only manual efforts that cannot completely solve this situation state. So, we need to do automatically system to control current traffic and to avoid the congestion of main roads, that we can call the Auto Traffic Control System with Intelligent Computing. This method, the webcam will be used for each of the traffic light in order to take a shot current image of the main roads traffic is bound to occur. These systems will count a total number of vehicles in images and will be calculated using image processing theory and various timings are detected according to the count along with a green signal for vehicles to pass. The simplest way of controlling a traffic light uses a timer for each phase. Another way is to use electronic sensors in order to detect vehicles and produce a signal that cycles. We propose a system for controlling the traffic light by image processing. The system will detect vehicles through images instead of using electronic sensors embedded in the pavement. A camera will be installed alongside the traffic light. It will capture image sequences. Setting the image of an empty road as a reference image, the captured images are sequentially matched using image matching. In these projects, we are building a system to solve the traffic with image processing by using various types of image processing theory, the vehicles can be detected on the basis of which traffic lights can switch.
Published by: Ohnmar Aung
Author: Ohnmar Aung
Paper ID: V4I8-1141
Paper Status: published
Published: August 9, 2019
Future industries and our life-style development with 5G Technology and their dark side
Fifth-generation(5G) networks are the next level of mobile internet connectivity, offering faster speeds and more reliable connections on mobile smart devices and other devices. Combining cutting-edge network technology and the very latest research, 5G should offer connections that are faster than current connections, with average download speeds of around 1GBps expected to soon be the norm. 2020 will be the year of the fifth generation of telecommunication. Fifth-generation mobile wireless networks will be faster, easily accessible, more reliable. For consumers, the first changes will be faster mobile data speeds - eventually up to 100 times quicker than those of 4G, letting people download full-length movies in seconds. At work, the trend will be greater automation of tasks and digital connectivity, driving a new wave of productivity gains for some industries. This will definitely change our lifestyles in a significant manner. Today the world's economy depends on many things from which one of the backbone business foundation stones is the economical, advanced use of Information Technology in the communication sector with its latest inventions. Information Communication systems have reserved an important space in the trade and economy. In other words, the true value of 5G won’t be limited to phones. Just about every industry that touches our daily lives will be transformed – for the better – by the technology evolution that will define 2020. The networks will help power a huge rise in the Internet of Things technology, providing the infrastructure needed to carry huge amounts of data, allowing for a smarter and more connected world. Other side needs to take a noted disadvantage about 5G connection example: increased bandwidth, raise radio frequency rate.
Published by: Nwet Nwet Than
Author: Nwet Nwet Than
Paper ID: V4I8-1138
Paper Status: published
Published: August 9, 2019
CBR based kidney and urinary tract diagnosis system
Nowadays, medical diagnosis reasoning is a very important application area of the computer-based systems. Case-Based Reasoning (CBR) has become a successful technique for developing medical diagnosis systems. This system presents a CBR methodology and the technical aspects of implementing a medical diagnosis system. CBR is a recent approach to problem-solving and learning that has got a lot of attention over the last few years. In the case-based reasoning system, old cases are retrieved to solve user input problems or new cases. To be a complete CBR system, case adaptation is used to revise and retain the new case for future use when no match case is found in the casebase. This system is implemented as a case-based reasoning system for Kidney and Urinary Tract Diseases. In this system, the K-Nearest Neighbor classifier (KNN) is used for case retrieval. If the result of the input case is not satisfied, the adaptation process will be done. Decision Tree algorithm is used in case adaptation.
Published by: Thin Thin Swe
Author: Thin Thin Swe
Paper ID: V4I7-1144
Paper Status: published
Published: August 6, 2019
Predictive maintenance for vehicles services by using data mining techniques
A well-planned data classification system makes essential data for easy to use and finds and retrieves the data. At the point, when an individual considers buying a vehicle, there are many aspects that could impact his/her choice on which kind of vehicle he/she is interested in. Even if a brand new motor vehicle, it could be a failure in any component without maintaining and serviced a short period. Vehicle uptime is getting increasingly important as the transport solutions become more complex and the transport industry seeks new ways of being competitive. Traditional Fleet Management Systems are gradually extended with new features to improve reliability, such as better maintenance planning. Typical diagnostic and predictive maintenance methods require extensive experimentation and modeling during development. This paper investigates unsupervised and supervised methods for predicting vehicle maintenance. The methods rely on a telematics gateway that enables vehicles to communicate with a back-office system. These are later associated with the repair history and form a knowledge base that can be used to predict upcoming failures on other vehicles that show the same deviations. Data mining presents an opportunity to increase significantly the rate at which the volume of data can be turned into useful information. The purpose of the prediction algorithms is to forecast future values based on present records, in order to estimate the possibility of a machine break-down and therefore to support maintenance teams in planning appropriate maintenance interventions. It is observed that the proposed data mining approach provides promising results in predicting the exact value.
Published by: Aye Aye Bo
Author: Aye Aye Bo
Paper ID: V4I7-1145
Paper Status: published
Published: August 2, 2019
Assess the association of body mass index and the life style practices among adolescents
Body mass index is a measure of body fat based on your weight in relation to your height. BMI percentile is the best assessment of body fat. Lifestyle practices are considered to be the important determinant of health and sickness. In our study lifestyle practices include physical activity and dietary practices. The objectives of the study were to calculate the BMI of adolescents, to assess the lifestyle practices of adolescents and to find out the association of BMI and lifestyle practices of adolescents. A quantitative descriptive study was carried out in selected villages of District Sirmour, (HP), using non-probability convenience sampling, 60 adolescents between the age group of 13-19 years were selected from selected areas. Subjects were interviewed using structured questionnaire regarding demographic variables and checklist for the lifestyle practices which were followed by adolescents. Data was analysed by manually in terms of descriptive and inferential statistics. The result shows that more than half of the samples were having normal BMI i.e. 34(56.66%), 24(40%) adolescents come under the underweight category, only 2 (3.33%) adolescents come under overweight category and out of 60 samples no one come under obese category. 42(70%) samples have normal good practices, 11(18.33%) were having very good practices, only 7(11.66%)having fair practices and 0(0%) out of 60 samples having poor practices. By applying Chi square method the level of significance of association of BMI and lifestyle practices is (p=0.05). In conclusion, we as nurses must continue to remind and update the community adolescents about good lifestyle practices and early identification of cases of malnutrition and obesity. Intensive educational campaigns to increase awareness regarding good lifestyle practices in order to increase awareness regarding malnutrition and obesity.
Published by: Sangeeta Sharma
Author: Sangeeta Sharma
Paper ID: V4I7-1149
Paper Status: published
Published: July 30, 2019
Machine learning implementation to recognize manuscripts
A field of studies in artificial intelligence, computer vision, and pattern recognition is handwritten character recognition. In paper files, images, touch-screen devices, and other sources, a computer performing handwriting recognition is said to be able to obtain and identify characters and transform them into machine-encoded form. Its implementation can be discovered in optical character recognition, handwritten document transcription into digital papers, and more sophisticated smart character recognition technologies.
Published by: Aayush Rijal
Author: Aayush Rijal
Paper ID: V4I7-1147
Paper Status: published
Published: July 30, 2019
Study on the environmental impacts of ocean garbage patches and possible solutions
Over the past two decades, unprecedented issues in the oceans, floating garbage patches, have been discovered. There are majorly 5 massive garbage patches floating on the ocean surface, including the biggest Pacific Patch, between Hawaii and California. The garbage patch is an accumulation of trash disposal by industrial production that mainly consists of oil-based plastic. In a recent study from nature.com, it was known that 79,000 tons of plastic are floating in an area spanning 1.6 million square kilometers. The ocean garbage patches can linger on the ocean surface for centuries, posing potential threats to the surrounding environment. Multiple organizations like the Sea Educations Association have carried research in this field by sending ships in the patch, which lay nets, tow and collect the garbage for analysis. This technique has numerous disadvantages as the patch is too large to be monitored by a group of boats. Airplanes can be used to map the patch; however floating plastic can change its position, and thus a piece of more dynamic and real-time equipment is needed for assistance in clean-up. Satellite monitoring proposes another challenge, as a lot of observers have claimed that patches are not visible on satellite imaging (1). Another challenge is the type of plastic. Currently, 65-70% of the dump is mega plastic (>40cm). As plastic is buoyant, it usually is found above 40 m of depth. On exposure of sunlight and SONAR waves, this can turn to micro-plastic, which will be difficult to monitor and clean. Thus, effective cleaning needs to be carried out immediately (2). In this report, I review the impact of the garbage patch on the climate and the environment and aim to investigate and provide suggestions on methods to monitor such patches.
Published by: Kabir Malhotra
Author: Kabir Malhotra
Paper ID: V4I7-1146
Paper Status: published
Published: July 29, 2019