Databases and Information Systems Commons^™

Online Library Project, Surya Teja Muthyala, Sai Krishna Raparthi, Satyanarayana Asundi

All Capstone Projects

The main objective of this project is to provide the hand free access to the library portal through web interface. This project of “ONLINE LIBRARY” gives us the complete information about the library. We can enter the record of new books and retrieve the details of books available in the library. We can issue the books to the students and maintain their records and can also check how many books are issued and stock available in the library. In this project we can maintain the late fine of students who returns the issued books after the due date. Throughout the …

Hotel Management System, Sumanth Deeti, Sravani Manne, Veerendra Vundavalli

All Capstone Projects

The system aims at the maintenance and management of the different Hotels that are available in the different parts of the world. It mainly takes care of the Hotel management at the core area of the database. The system provides the information regarding the different Hotels that are available and their status specific to availability. The guests can visit the site and register themselves with the required information that is expected by the system. Each registered guest can raise a request for the unit bookings. The Guests are scheduled with the information of the availability of the units for they …

Capstone Database Management, Sharanya Amuduri, Anitha Avula, Ahmed Hussaini Syed

All Capstone Projects

The main aim of this project is to provide a well-structured database for storing information about Grad projects Apart from this, CCDS displays the existing grad projects to the students through web by query implementation. And also they can access information about any particular Grad Project .The main objective of this project is to design an application which is user-friendly and should be able to get the details about student Grad Project. Grad Project is a particular course and administrator for maintaining the data of students, List of Grad projects and modules this system facilitates the administrator to manage Project …

Concept Of Trusted Transaction For Secure Cloud Transactions, Taufeeq Mohammed, Mohammed Asifuddin Quraishi, Faisal Mohammed Saleem

All Capstone Projects

In this project, we are providing accuracy and improving performance of cloud transactions in distributed transactional database system deployed over cloud servers.

Data transfer from one system to another means data will be transferred from system to database through third-party service, this third party provide the service of the transaction manager.

A distributed transactional data stored in database has access to one or more systems or suitable users (it is not system to system connection but it is database to user, client and cloud server connection). The transaction manager checks if the users, client have the privileges by checking their …

Illinois State Finance Corporation, Allamudi Uday Kiran, Pallet Sravan Kumar, Vecha Tarun Mithilesh, Kontam Vinod

All Capstone Projects

Our project named Illinois State Finance corporation deals with the different types of loans for Personal loan, car loan, crop loan, Home loan. Generally we search for companies who give loans with low interest. Our company can offer you different types of loans in single place. Users can search the details from user portal where you will aware of interest rate and how many installments. It displays the information such as cost , installments, interest, validation and estimation quote.

Artistic Connections, A Community Development Tool, Amanda Cobb, Patrick Douglas

All Capstone Projects

This purpose of this project is to develop a peer to peer connection service, designed to give artists the ability to easily find, connect and collaborate with other artists. Current attempts at meeting this need revolve around forum based architecture or social media outlets. These existing structures do not provide a clean or focused means of connecting artists. We intend to provide artists with a smooth and transparent management interface designed solely around the needs of its artistic community. With our software, artists will no longer have to scour media sources or generate thread posts for collaborative needs. As this …

Practice Management & Patient Health Record System, Mohammed Abdul Qadeer Aali, Sameer Khan, Arun Pallam

All Capstone Projects

General Physicians or Specialists who has less number of patients often cannot afford to buy high end Practice management software which often costs thousands of dollars. Online Personal health record (PHR) sharing system is an emerging patient oriented model created for health information exchange following all HIPAA regulations, Using this application patient can share his/her health record with organizations (Hospitals, Health insurance firms.. etc.). It is an application which helps connect doctors and billers together and provides hassle free experience and it does not need any additional plugins or hardware and can be accessed from any device like personal computer, …

What Makes A Music Track Popular In Online Social Networks?, Jing Ren, Jialie Shen, Robert John Kauffman

Research Collection School Of Computing and Information Systems

Tens of thousands of music tracks are uploaded to the Internet every day through social networks that focus on music and videos, as well as portal websites. While some of the content has been popular for decades, some tracks that have just been released have been completely ignored. So what makes a music track popular? Can we predict the popularity of a music track before it is released? In this research, we will focus on an online music social network, Last.fm, and investigate three key factors of a music track that may have impact on its popularity. They include: the …

Olps: A Toolbox For On-Line Portfolio Selection, Bin Li, Doyen Sahoo, Hoi, Steven C. H.

Research Collection School Of Computing and Information Systems

On-line portfolio selection is a practical financial engineering problem, which aims to sequentially allocate capital among a set of assets in order to maximize long-term return. In recent years, a variety of machine learning algorithms have been proposed to address this challenging problem, but no comprehensive open-source toolbox has been released for various reasons. This article presents the first open-source toolbox for "On-Line Portfolio Selection" (OLPS), which implements a collection of classical and state-of-the-art strategies powered by machine learning algorithms. We hope that OLPS can facilitate the development of new learning methods and enable the performance benchmarking and comparisons of …

Real-Time Netnography: Rejecting The Passive Shift, Leesa Costello, Marie-Louise Mcdermott

Research outputs 2014 to 2021

Although netnography emerged in the 1990s, it is a term unfamiliar to many ethnographers and is still touted as a new methodology. Once explained, ethnographers often understand it in terms of online ethnography. While this is helpful, netnography, however, offers a set of steps and analytic approaches that can be applied across a spectrum of involvement online. Its focus is on gaining entree to an online community, distinguishing between participant observation and nonparticipant observation.

Exploration Of Web Technologies: A Real World Application, Andrew Ballard, James Francis, Sam Jentsch

Undergraduate Research Conference

Our team created a web application for a photography studio. In addition to a portfolio for the studio, the application required the ability to manage photographer schedules, handle and organize orders and provide secure user accounts with different access levels for the site.

Developing Probability Maps For Locating And Scouting Unprotected Areas Of Gravel Hill Prairies On Rodman Soils Along The Wabash River Valley Near Lafayette, Indiana, Ryan W.R. Schroeder

Engagement & Service-Learning Summit

No abstract provided.

Concept Based Search Engine: Concept Creation, Aishwarya Rastogi

Master's Projects

Data on the internet is increasing exponentially every single second. There are billions and billions of documents on the World Wide Web (The Internet). Each document on the internet contains multiple concepts (an abstract or general idea inferred from specific instances).

In this paper, we show how we created and implemented an algorithm for extracting concepts from a set of documents. These concepts can be used by a search engine for generating search results to cater the needs of the user. The search result will then be more targeted than the usual keyword search.

The main problem was to extract …

A Personalized People Recommender System Using Global Search Approach, Chun-Hua Tsai, Peter Brusilovsky

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The goal of people recommender system is to generate meaningful social suggestion to users. The abundant data are the key factor in fulfilling a recommendation task, but the cost of user data in a real-world system is high. In this paper, we propose a novel approach that integrates a global search result with a personalized people recommendation system. Our approach utilizes the user identity as a query keyword and processes the search results through five different customized parsers. This approach solves the cold-start issue in recommendation systems and leverages the crossdomain information in order to provide a better recommendation result. …

Semantic, Cognitive, And Perceptual Computing: Paradigms That Shape Human Experience, Amit P. Sheth, Pramod Anantharam, Cory Henson

Kno.e.sis Publications

Unlike machine-centric computing, in which efficient data processing takes precedence over contextual tailoring, human-centric computation provides a personalized data interpretation that most users find highly relevant to their needs. The authors show how semantic, cognitive, and perceptual computing paradigms work together to produce actionable information.

Man Vs. Machine: Investigating The Effects Of Adversarial System Use On End-User Behavior In Automated Deception Detection Interviews, Jeffrey Gainer Proudfoot, Randall Boyle, Ryan M. Schuetzler

Information Systems and Quantitative Analysis Faculty Publications

Deception is an inevitable component of human interaction. Researchers and practitioners are developing information systems to aid in the detection of deceptive communication. Information systems are typically adopted by end users to aid in completing a goal or objective (e.g., increasing the efficiency of a business process). However, end-user interactions with deception detection systems (adversarial systems) are unique because the goals of the system and the user are orthogonal. Prior work investigating systems-based deception detection has focused on the identification of reliable deception indicators. This research extends extant work by looking at how users of deception detection systems alter their …

Image Use In Social Network Communication: A Case Study Of Tweets On The Boston Marathon Bombing, Jungwon Yoon, Eunkyung Chung

School of Information Systems and Management Faculty Publications

Introduction. This study aimed to understand how images are used in communication practices in the Twitter environment. Method. 1,428 Boston marathon bombing related Twitter messages with embedded images were collected, and content analysis was conducted. Analysis. Characteristics of image use were examined and were analysed by type of Twitter messages. Results. People used diverse types of images in Twitter messages including: direct photos, captured images, computer graphics, and maps. Depending on the content of Twitter messages, uses of images were categorised into four types: 1) to illustrate news, information, and anecdotes, 2) to disseminate visual information that cannot be provided …

Mobilaudio – A Multimodal Content Delivery Platform For Geo-Services, James Carswell, Keith Gardiner, Charlie Cullen

Articles

Delivering high-quality context-relevant information in a timely manner is a priority for location-based services (LBS) where applications require an immediate response based on spatial interaction. Previous work in this area typically focused on ever more accurately determining this interaction and informing the user in the customary graphical way using the visual modality. This paper describes the research area of multimodal LBS and focuses on audio as the key delivery mechanism. This new research extends familiar graphical information delivery by introducing a geoservices platform for delivering multimodal content and navigation services. It incorporates a novel auditory user interface (AUI) that enables …

Interactive Teachable Cognitive Agents: Smart Building Blocks For Multiagent Systems, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Developing a complex intelligent system by abstracting their behaviors, functionalities, and reasoning mechanisms can be tedious and time consuming. In this paper, we present a framework for developing an application or software system based on smart autonomous components that collaborate with the developer or user to realize the entire system. Inspired by teachable approaches and programming-by-demonstration methods in robotics and end-user development, we treat intelligent agents as teachable components that make up the system to be built. Each agent serves different functionalities and may have prebuilt operations to accomplish its own design objectives. However, each agent may also be equipped …

Semantic Memory Modeling And Memory Interaction In Learning Agents, Wenwen Wang, Ah-Hwee Tan, Loo-Nin Teow

Research Collection School Of Computing and Information Systems

Semantic memory plays a critical role in reasoning and decision making. It enables an agent to abstract useful knowledge learned from its past experience. Based on an extension of fusion adaptive resonance theory network, this paper presents a novel self-organizing memory model to represent and learn various types of semantic knowledge in a unified manner. The proposed model, called fusion adaptive resonance theory for multimemory learning, incorporates a set of neural processes, through which it may transfer knowledge and cooperate with other long-term memory systems, including episodic memory and procedural memory. Specifically, we present a generic learning process, under which …