Chittagong University of Engineering & Technology

About: Chittagong University of Engineering & Technology is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Renewable energy & Dielectric. The organization has 1200 authors who have published 1444 publications receiving 10418 citations. The organization is also known as: Engineering College, Chittagong & Bangladesh Institute of Technology, Chittagong.

Development of a System for Traffic Data Analysis and Recommendation

Abstract: Traffic Monitoring System is a traffic analysis program that authorizes the commuter to make better choices for the everyday commute. This system provides near real-time analysis and display of local traffic information measured by historical data and GPS data along roads and accessed by the user via a web server. There has always been the necessity of accurate and real time traffic information among the commuters and drivers of large cities. In present times, with the increased use and availability of GPS enabled device, a traffic monitoring system based on GPS data is highly practical. Vehicles equipped with a GPS device driving through the traffic of different roads can generate useful information, for example, vehicle geolocation and vehicle information regarding the road. Therefore, we have developed a system using these data, so that it can be sent back to a web service and stored in a database. Later based on this information, a map can be generated that reflects the near real time traffic condition with the vehicle marker of a city at any given time to any user. Traffic intensity and estimate waiting time can be generated also based on the collected information. Our traffic monitoring system based on these principles, requires less physical maintenance, has faster deployment capability and potentially can monitor a large section of the area.

High performance cost effective formalin detector using conductivity property

Abstract: Eating healthy is the key to a healthy life. But nowadays, it is getting increasingly difficult to decide which food is healthy and which is not. Our foods are so frequently adulterated by harmful preservatives like formalin that they have become potential dangers to our health. Formalin, which is a widely used food preservative in countries like Bangladesh, leaves a long term effect on both the human body and the ecosystem. Hence, it is very important to make formalin detection methods available to the mass so that they can be warned beforehand. Few techniques for formalin detection have already been developed. But they still have very limited uses because either the detection method is too complicated for general understanding or the device used for detection is not cost-effective. In this paper — a smart, reliable and economical technique to detect the presence of formalin in food products has been proposed. Using the conductivity property of formalin a detection method has been developed which provides high accuracy result. Moreover, the detector has been successfully tested with formalin solution of different concentrations. Besides, it is very cheap compared to the existing formalin detection devices in Bangladesh.

A Framework for Checking Plagiarized Contents in Programs Submitted at Online Judging Systems

Abstract: Plagiarism has always been a problem in the academic area through digitalization and the widespread use of computers, copying documents has become very easy. Nowadays, all kinds of documents are available as digital content and freely accessible either legally or illegally. This development makes it easy for culprits to copy digital content found on the web without much effort. Therefore, plagiarism can be found in any field such as literature, design, scientific papers, and source code. This project focused on the detection of a particular type of plagiarism: source code plagiarism, also known as software plagiarism. Source code plagiarism is often done by computer science students. Often, they solve their assignments by copying from other students or copying it from the internet and presenting it as their own work. This project implemented source code plagiarism detection framework by detecting finder prints of programs and using them to compare each of them instead of using the whole file. We used winnowing to select fingerprints among k-gram hash values of a source code, which was generated by Rabin-Karp Algorithm. At long last, we likewise give trial results on applying enormous data sets and contrasting the runtime with Measure of Software Similarity (MOSS), the extensively used plagiarism perception facility.

A framework for building a natural language interface for Bangla

Abstract: Mobile Computing Devices are enabling connection between people and the Internet, largest source of information in the world. However to properly utilize this knowledge in these devices most people need a Natural Language Interface. Siri, Google Now, Cortana are examples of such interfaces. Because Bangla is a low resource language building such interface is very difficult and time consuming. However due to the increasing numbers of smart phone and smart device users in the Bangla speaking regions, application developers are facing the need for such interfaces to provide web services effectively. This paper addresses this issue and gives an empirical framework on how to build a feasible Natural Language Interface in Bangla and similar low resource languages.

Channel Assignment Augmentation Algorithm to Mitigate Interference for Heterogeneous "TV White Space" Users

Abstract: TV White Space (TVWS) spectrum utilization is totally a new idea in wireless communication technology. It refers to some portion of TV spectrum that is not used by TV channels and available for other applications. This unused spectrum has been opened up for the free and unlicensed users. This spectrum can be utilized greatly if a noninterference environment is created between the users of this spectrum. Therefore, a coexistence of multiple networks requires interference management. In this paper, an interference management algorithm is developed. It ensures that a network can access the TVWS spectrum without causing interference to other networks. This is done by using three stages. The first stage is for finding the group of networks that will not cause interference to one another. For this "graph coloring" algorithm is used. The second stage is for assigning different channels to each group of networks. Here, channel assignment gives priority to the user requirement of each group. If any bandwidth is left after second stage, then the third stage is performed where performance of each network will be increased. This is done by considering the number of networks in a group. Simulation results show that the proposed scheme provides better channel assignment along with bandwidth utilization.