Computer Science Projects, Mini projects for CSE, MCA on IEEE Topics. Latest 2. 01. 3 2. Computer Science projects, Mini projects, IEEE Project Topics, Project Ideas for CSE, I. T Engineering, MCA, MSc students with Abstract, Source Code, Reports in C, Java,. Net, PHP and Android. Project reports are provided at the end of each article. Cse Seminar Topics' title='Cse Seminar Topics' />Mises Academy. The Mises Academy is the online education platform of the Mises Institute. Drawing on the Institutes expert faculty, the Mises Academy advances the. As one of the Souths most innovative institutions in teaching and learning, Kennesaw State University offers undergraduate, graduate and doctoral degrees across two. Seminar Topics. Big List of Latest 2013 2014 Seminar Topics and Presentation for Computer Science CSE, Information Technology I. T, MCA, MSc, MS, Electronics and. Lectures, tours and other programs and events for members and the general public. Details. In todays world, online business is making great strides and other industry which is on the rise is car rental industry. This project is a study on Online car rental industry. The client hires a Limo Cab for rent via telephone operator or customer walk in. This Project is an honest attempt to digitize the whole Limo cabs car rental ordering system, via which Limo cabs will be able to take rental request from customers online and track the order with driver updates. Details. Churn prediction is currently a relevant subject in data mining and has been applied in the field of banking, mobile telecommunication, life insurances, and others. In fact, all companies who are dealing with long term customers can take advantage of churn prediction methods. Cse Seminar Topics' title='Cse Seminar Topics' />Recently, the mobile telecommunication market has changed from a rapidly growing market, into a state of saturation and fierce competition. The focus of telecommunication companies has therefore shifted from building a large customer base into keeping customers in house. For that reason, it is valuable to know which customers are likely to switch to a competitor in the near future. Given a set of data records of telecom customers, each of which belongs to one of a number of predefined attribute classes, the problem is concerned with the discovery of classification rules that can allow records with unknown attribute class membership to be correctly classified. In this computer science project will will discuss about Data mining by evolutionary learning DMEL using HBase. Details. The travelling salesman problem TSP is one of the most intensively studied problems in optimization. Cse Seminar Topics' title='Cse Seminar Topics' />Loosely speaking, given a set of cities on a map, the problem consists of finding a tour that goes through each city exactly once and ends in the same city it started with. There has been much research done on finding efficient heuristics to get provably optimal and close to optimal solutions to TSP problems. Recently a polynomial time approximation scheme was discovered for the Euclidian TSP problem. Cse Seminar Topics' title='Cse Seminar Topics' />With parallel and cloud computing gaining prominence in the past few years, finding efficient parallelization of existing algorithms will gain importance. Details. In this Computer Science Project, a new authentication scheme called Color Scheme Authentication is proposed for PDAs. These schemes authenticate the user by session passwords. Session passwords are passwords that are used only once. Weve listed 20 Topics for CSE in previous post, here is the next 10 topics for computer science students, if you have any ideas, project lists, topics, seminar. Crowdsourcingbased Data Processing Chen Jason Zhang, Yongxin Tong, Lei Chen Where To CrowdAided Path Selection, in Proc. VLDB, 2015. Chen Zhang, Lei Chen. Podcast. ucsd. edu offers free audio recordings of UC San Diego class lectures for download onto your music player or computer. Once the session is terminated, the session password is no longer useful. For every login process, users input different passwords. The session passwords provide better security against dictionary and brute force attacks as password changes for every session. The proposed authentication schemes use text and colors for generating session passwords. Details. For medication therapy to be effective, it is critical that the patient take their medicine on an effective schedule. Taking their medicine correctly is medication adherence and is vital for the medicine to produce its maximal benefit. For healthcare professionals, understanding the drugs action is a major part of their clinical training. However, from a patients perspective, many times incorrect, and possibly, erroneous information drug prevails, creating negative atmosphere for medication adherence. Prescription Viewer App is an easy to use medication management app which helps you to monitor and keep track of your medication. It is an android app which helps you to view your medication anytime, anywhere through your phone. A website is created for the doctor to enter the prescription details. The prescription is then sent to the Prescription Viewer App, installed in the patients phone, using Google cloud messaging GCM. The app stores the prescription and displays it in the patients phone. Details. File sorting and file content sorting are the solutions to the most pressing situation of the organizing and maintaining the data for any systems. Sorting the files may be on the basis of their size or the date of creation. This is significant in the archiving of files. This helps in the reorganization of files in the systems with vast amounts of data which are updated frequently. Content sorting can be counted as a real world application that requires the sorted output for further manipulation. Apache hadoop provides a framework for large scale parallel processing using a distributed file system and the map reduce programming paradigm. Both of these sorting programs are implemented within the framework with the help of map reduce module that forms one of the major pillar of Hadoop framework. Details. As Cloud Computing becomes prevalent, more and more sensitive information are being centralized into the cloud, such as emails, personal health records, government documents, etc. By storing their data into the cloud, the data owners can be relieved from the burden of data storage and maintenance so as to enjoy the on demand high quality data storage service. However, the fact that data owners and cloud server are not in the same trusted domain may put the outsourced data at risk, as the cloud server may no longer be fully trusted. It follows that sensitive data usually should be encrypted prior to outsourcing for data privacy and combating unsolicited accesses. Details. Computer Science Projects on Fuzzy Keyword Search Over Encrypted Data In Cloud Computing based on Wild card and Gram based scheme. Since the cloud is not trusted, the data should be stored in an encrypted form at the server. But the problem is how to query the encrypted data efficiently. Data encryption also demands the protection of keyword privacy since keywords usually contain important information related to the data files. Although encryption of keywords can protect keyword privacy. In our project, we propose fuzzy keyword search scheme based on the following techniques. Wild card based scheme. Gram based scheme Details. Coding algorithms are intended to minimize the bit rate in the digitized version of a signal. It does so without any major loss in signal quality during encoding process. Speech coding became one of the integral part of digitized speech signal processing. High quality is attained at low bit rates by exploiting signal redundancy as well as the knowledge that certain types of coding distortion are difficult because they are masked by the signal. With the recent advancements in the microelectronics, cheap programmable processors and chips are available. Boot Sector Vista Download Freeware. This helps various players to make complex coding algorithms for signal redundancy and distortion masking which in turn help us in improving the quality of low bit rate signals. Details. Diversity techniques mitigate the adverse effects of fading in wireless communications. One of the several forms of diversity is spatial diversity, which creates multiple fading paths between the transmitter and the receiver.