Physical Sciences and Mathematics Commons^™

Artificial Intelligence Animal Recognition System, Bohan Zhang, Xu Cao, Jeremy Straub, Eunjin Kim

Jeremy Straub

Artificial Intelligence Animal recognition system can be widely used for chil-dren education, zoology database implement. It is known that existing animal classification system can be used to distinguish an animal fairly fast. For example mammals, reptiles, amphibians. Our goal is to implement an AI system which could eliminate the possibility by half or more for which animal the user is thinking by means of asking the player "the best" question for an animal property.

Medical Procedure Expert System, Timothy Whitney, Jeremy Straub, Eunjin Kim

Jeremy Straub

Artificial intelligence is an area of research in computer science that allows for computer systems to make logical decisions based on its environment. This basic ability can be applied to many problems, including detecting abnormalities in a system, such as commands issued by malicious users, or erroneous commands from valid users. The ability to detect such commands is particularly useful in high risk application where such a command could result in harm to people. This research focuses on one such area by applying the decision making power of AI towards a medical use by developing an expert system to detect …

Data Mining Temporal Work Patterns Of Programming Student Populations, Dale E. Parson, Lori Bogumil, Allison Seidel

Computer Science and Information Technology Faculty

This paper reports the second stage of a study of the correlations between the temporal work patterns of computer programming students and their success or failure as measured by programming project assignment grades and related metrics. The first stage confirmed the importance for most students of getting an early start on a programming project, and it also uncovered the fact that some student groups perform well with late starts, suggesting the likelihood that they engage in the productive practice of active procrastination. The second most important factor for success is the average length of assignment work sessions. Session lengths from …

How The University Of California Runs One Repository For Ten Campuses, Katie Fortney

Inaugural CSU IR Conference, 2015

Katie Fortney, JD, MLIS, Copyright Policy & Education Officer, Office of Scholarly Communication, University of California http://osc.universityofcalifornia.edu/

Implementing Metaarchive And Lockss At Digital Commons @Cal Poly, Michele Wyngard

Inaugural CSU IR Conference, 2015

Michele Wyngard, Digital Repository Coordinator, CSU Cal Poly

Using Google Tag Manager And Google Analytics, (Code{4}Lib Journal), Suzanna Conrad

Inaugural CSU IR Conference, 2015

Suzanna Conrad, Digital Initiatives Librarian, Cal Poly Pomona

What’S New Since The April 2013 Stim Ir Subcommittee Report To Cold: Hydra, Islandora And Dspace, Aaron Collier, Suzanna Conrad, Carmen Mitchell, Joan Parker, Andrew Weiss, Jeremy C. Shellhase

Inaugural CSU IR Conference, 2015

Aaron Collier, Digital Repository Services Manager, Chancellor’s Office
Suzanna Conrad, Digital Initiatives Librarian, Cal Poly Pomona
Carmen Mitchell, Institutional Repository Librarian, CSU San Marcos
Joan Parker, Librarian, Moss Landing Marine Laboratories
Andrew Weiss, Digital Services Librarian, CSU Northridge

Jeremy Shellhase, Head of Information Services & Systems Department, Humboldt State University

The State Of Scholarworks, Aaron Collier

Inaugural CSU IR Conference, 2015

Aaron Collier, Digital Repository Services Manager, Chancellor’s Office

Three-Dimensional Printing And Scanning Web-Based Job Management System, Stephanie Hollman, Dalyn Limesand, Jeremy Straub, Scott Kerlin

Jeremy Straub

Three-dimensional (3D) printers have gained popularity for use for many different projects. The work presented herein aims to make this process simpler. This poster discusses a system that will allow individuals from all over campus to submit object files for printing, without having to schedule appointments and schedule 3D scanning appointments and retrieve scan results.

Check Exception Automation (Cea) System, Aashima Arora

Masters Theses & Doctoral Dissertations

Check Exception Automation (CEA) System is a web application which provides the facility to create and resolve the check exception that occurs after the check is successfully deposited to the American Bank. Checks can be deposited via different channels such as ATM, Cash Vault (which is a kind of check dropping box) and via mobile. There are a number of exceptions that may occur after depositing the check such as missing signature, wrong amount, altered check, duplicate check and missing amount. The older check exception resolution process was manual process. The goal of this project is to automate the check …

Affect And Online Privacy Concerns, David Charles Castano

CCE Theses and Dissertations

The purpose of this study was to investigate the influence of affect on privacy concerns and privacy behaviors. A considerable amount of research in the information systems field argues that privacy concerns, usually conceptualized as an evaluation of privacy risks, influence privacy behaviors. However, recent theoretical work shows that affect, a pre-cognitive evaluation, has a significant effect on preferences and choices in risky situations. Affect is contrasted with cognitive issues in privacy decision making and the role of affective versus cognitive-consequentialist factors is reviewed in privacy context.

A causal model was developed to address how affect influences privacy concerns and …

Fast Nearest Neighbor Search With Keywords, Ramu Anthati, Santosh Aditya Kokku, Tejaswini Vodapally

All Capstone Projects

Conventional spatial queries, such as range search and nearest neighbor retrieval, involve only conditions on objects’ geometric properties. Today, many modern applications call for novel forms of queries that aim to find objects satisfying both a spatial predicate, and a predicate on their associated texts. For example, instead of considering all the restaurants, a nearest neighbor query would instead ask for the restaurant that is the closest among those whose menus contain “steak, spaghetti, brandy” all at the same time. Currently the best solution to such queries is based on the IR2-tree, which, as shown in this paper, has a …

Enterprise Search Technology Using Solr And Cloud, Padmavathy Ravikumar

All Capstone Projects

Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.

Databases and Solr have complementary strengths and weaknesses. SQL supports very simple wildcard-based text search with some simple normalization …

Ewebsite For Placement Consultant Portal, Abhilashreddy Karam, Karthik Nakarakanti, Sravani Sriramoju

All Capstone Projects

This project is aimed at developing an online search Portal for the Placement Dept. of the college. The system is an online application that can be accessed throughout the organization and outside as well with proper login provided. This system can be used as an Online Job Portal for the Placement Dept. of the college to manage the student information with regards to placement. Students logging should be able to upload their information in the form of a CV. Visitors/Company representatives logging in may also access/search any information put up by Students.

The project has been planned to be having …

Instamapp, Andrew Dicosmo, Preethi Reddy, Venkat Nischey

All Capstone Projects

InstaMapp is a web application we started building in fall 2014. This application is intended for anyone who wants to locate a product from a department store. Anyone who would like to print or view a shopping list with aisle or department locations. Currently there isn’t a reliable application out that that exist in the technology space. InstaMapp currently integrates with Walmart’s API and supports a responsive design for mobile devices.

During fall 2014, we built a proof of concept on Microsoft Windows Azure websites integrating with Intel Mashery Services for the API. We used the following Languages: PHP, JQuery, …

Intensity And Resolution Enhancement Of Local Regions For Object Detection And Tracking In Wide Area Surveillance, Evan Krieger, Vijayan K. Asari, Saibabu Arigela, Theus H. Aspiras

Electrical and Computer Engineering Faculty Publications

Object tracking in wide area motion imagery is a complex problem that consists of object detection and target tracking over time. This challenge can be solved by human analysts who naturally have the ability to keep track of an object in a scene. A computer vision solution for object tracking has the potential to be a much faster and efficient solution. However, a computer vision solution faces certain challenges that do not affect a human analyst. To overcome these challenges, a tracking process is proposed that is inspired by the known advantages of a human analyst.

First, the focus of …

Context-Driven Automatic Subgraph Creation For Literature-Based Discovery, Delroy H. Cameron, Ramakanth Kavuluru, Thomas Rindflesch, Amit P. Sheth, Krishnaprasad Thirunarayan, Olivier Bodenreider

Kno.e.sis Publications

Background: Literature-based discovery (LBD) is characterized by uncovering hidden associations in non-interacting scientific literature. Prior approaches to LBD include use of: 1) domain expertise and structured background knowledge to manually filter and explore the literature, 2) distributional statistics and graph-theoretic measures to rank interesting connections and 3) heuristics to help eliminate spurious connections. However, manual approaches to LBD are not scalable and purely distributional approaches may not be sufficient to obtain insights into the meaning of poorly understood associations. While several graph-based approaches have the potential to elucidate associations, their effectiveness has not been fully demonstrated. A considerable degree of …

Inventory Management Software, Sofia Galarza, Kevin Kovach

All Capstone Projects

Our planned project is to create an application with a database that will allow users to store all the necessary information for equipment. Technical managers will be able to select the location, type of equipment, scan tag number and add other necessary fields. This will allow users to update inventory much easier at the start and end of fiscal year. Users will be able to determine which staff members need an upgrade on their equipment without having to go over and over a spreadsheet.

Recipe Suggestion Tool, Tejaswi Patha, Deepika Sandhadi

All Capstone Projects

There is currently a great need for a tool to search cooking recipes based on ingredients, country and recipe type. Current search engines do not provide this feature. Most of the recipe search results in current websites are not efficiently clustered based on relevance or categories resulting in a user getting lost in the huge search results presented. They also do not provide links to view images of the ingredients of a recipe.

My project aims to combine the features like search based on ingredients, suggestions for similar recipes, and images for the ingredients under one search engine and provide …

Big Data Analytics By Using Hadoop, Chaitanya Arava, Sudharshan Bandaru, Saradhi Bhargava Reddy Tiyyagura

All Capstone Projects

Data is large and vast, with more data coming into the system every day. Summarization analytics are all about grouping similar data together and then performing an operation such as calculating a statistic, building an index, or just simply counting.

Filtering is more about understanding a smaller piece of your data, such as all records generated from a particular user, or the top ten most used verbs in a corpus of text. In short, filtering allows you to apply a microscope to your data. It can also be considered a form of search.

Hadoop allows us to modify the way …

Hadoop "The Emerging Tool In The Present Scenario For Accessing The Large Sets Of Data", Chandra Kiran Movva, Tejaswi Sura, Ranjith Reddy Thipparthi

All Capstone Projects

Hadoop is one of the tools designed to handle big data. Hadoop and other software products work to interpret or parse the results of big data searches through specific proprietary algorithms and methods. Hadoop is an open-source program under the Apache license that is maintained by a global community of users. It includes various main components, including a MapReduce set of functions and a Hadoop distributed file system (HDFS). The idea behind MapReduce is that Hadoop can first map a large data set, and then perform a reduction on that content for specific results. A reduce function can be thought …

E-Exam Engine, Obaid Ahmed, Muthyalamma Gangula, Rakesh Margam

All Capstone Projects

E-Exam Engine is a web application by which is designed for Educational Institutes like Grad Schools, Colleges, and Private Institutes to conduct logic tests of their students on a regular basis. Design to facilitate administrator and user friendly interface complete and secure information is provided to user scope.

The E-Exam Engine is the process of conducting exam online. This project Provide accurate and flexible manner of conducting exam online. This Project provides more accurate and efficient way to take exam. It also provides flexibility to the user as one can give the exam at home. This is a one of …

Social Services Management Solution, Kurt A. Karner, James L. Potulny

All Capstone Projects

The modern privately run social services agency exists within a complex regulatory framework that requires detailed recordkeeping. In such an environment, paperwork tracking is best managed by a centralized enterprise data management system. While commercial applications that perform this function exist, they are frequently bundled with software for other business functions. Such additional software can be helpful, but it frequently duplicates the functionality of other enterprise software for these businesses, which is financially inefficient. This project developed a similar system using the ASP.NET 4.5 framework that is designed to provide a standalone solution to recordkeeping requirements. It followed a typical …

Memory Dynamics In Attractor Networks, Guoqi Li, Kiruthika Ramanathan, Ning Ning, Luping Shi, Changyun Wen

Research Collection School Of Computing and Information Systems

As can be represented by neurons and their synaptic connections, attractor networks are widely believed to underlie biological memory systems and have been used extensively in recent years to model the storage and retrieval process of memory. In this paper, we propose a new energy function, which is nonnegative and attains zero values only at the desired memory patterns. An attractor network is designed based on the proposed energy function. It is shown that the desired memory patterns are stored as the stable equilibrium points of the attractor network. To retrieve a memory pattern, an initial stimulus input is presented …

Understanding The Test Automation Culture Of App Developers, Pavneet Singh Kochhar, Ferdian. Thung, Nachiappan Nagappan, Thomas Zimmermann, David Lo

Research Collection School Of Computing and Information Systems

Smartphone applications (apps) have gained popularity recently. Millions of smartphone applications (apps) are available on different app stores which gives users plethora of options to choose from, however, it also raises concern if these apps are adequately tested before they are released for public use. In this study, we want to understand the test automation culture prevalent among app developers. Specifically, we want to examine the current state of testing of apps, the tools that are commonly used by app developers, and the problems faced by them. To get an insight on the test automation culture, we conduct two different …

Sensorem – An Efficient Mobile Platform For Wireless Sensor Network Visualization, Jin Ming Koh, Marcus Sak, Hwee Xian Tan, Huiguang Liang, Fachmin Folianto, Tony Quek

Research Collection School Of Computing and Information Systems

No abstract provided.

Multi-Roles Affiliation Model For General User Profiling, Lizi Liao, Heyan Huang, Yashen Wang

Research Collection School Of Computing and Information Systems

Online social networks release user attributes, which is important for many applications. Due to the sparsity of such user attributes online, many works focus on profiling user attributes automatically. However, in order to profile a specific user attribute, an unique model is built and such model usually does not fit other profiling tasks. In our work, we design a novel, flexible general user profiling model which naturally models users’ friendships with user attributes. Experiments show that our method simultaneously profile multiple attributes with better performance.

A Study Of Access Control For Electronic Health Records, Sergio Vincent Senese

All Student Theses and Dissertations

The expansion between Information Technology and Healthcare has created many new options for both disciplines, as well as challenges. One of these topics is the Electronic Health Record (EHR) and the push for a universal record. A challenge for this topic is access control: how to keep patient’s personal health information secure, but at the same time accessible to all fields of healthcare and accomplish this within the federal privacy laws made by our government. This study focuses on the idea of a single EHR containing all the different medical information for all the areas of healthcare for a patient. …

Review Selection Using Micro-Reviews, Thanh-Son Nguyen, Hady W. Lauw, Panayiotis Tsaparas

Research Collection School Of Computing and Information Systems

Given the proliferation of review content, and the fact that reviews are highly diverse and often unnecessarily verbose, users frequently face the problem of selecting the appropriate reviews to consume. Micro-reviews are emerging as a new type of online review content in the social media. Micro-reviews are posted by users of check-in services such as Foursquare. They are concise (up to 200 characters long) and highly focused, in contrast to the comprehensive and verbose reviews. In this paper, we propose a novel mining problem, which brings together these two disparate sources of review content. Specifically, we use coverage of micro-reviews …

Mining Business Competitiveness From User Visitation Data, Doan Thanh Nam, Freddy Chong Tat Chua, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Ranking businesses by competitiveness is useful in many applications including business (e.g., restaurant) recommendation, and estimation of intrinsic value of businesses for mergers and acquisitions. Our literature reveals that previous methods of business ranking have ignored the competing relationship among businesses within their geographical areas. To account for competition, we propose the use of PageRank model and its variant to derive the Competitive Rankof businesses. We use the check-ins of users from Foursquare, a location-based social network, to model the winners of competitions among stores. The results of our experiments show that Competitive Rank works well when evaluated against ground …