Cross-Modal Recipe Retrieval: How To Cook This Dish?,
2017
City University of Hong Kong
Cross-Modal Recipe Retrieval: How To Cook This Dish?, Jingjing Chen, Lei Pang, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
In social media users like to share food pictures. One intelligent feature, potentially attractive to amateur chefs, is the recommendation of recipe along with food. Having this feature, unfortunately, is still technically challenging. First, the current technology in food recognition can only scale up to few hundreds of categories, which are yet to be practical for recognizing ten of thousands of food categories. Second, even one food category can have variants of recipes that differ in ingredient composition. Finding the best-match recipe requires knowledge of ingredients, which is a fine-grained recognition problem. In this paper, we consider the problem from …
Collaboration In Virtual Worlds: Impact Of Task Complexity On Team Trust And Satisfaction,
2017
Singapore Management University
Collaboration In Virtual Worlds: Impact Of Task Complexity On Team Trust And Satisfaction, Fiona Fui-Hoon Nah, Shu Schiller, Brian E. Mennecke, Keng Siau
Research Collection School Of Computing and Information Systems
Virtual worlds are three-dimensional, computer-generated worlds in which team collaboration can be facilitated through the use of shared virtual space and mediated using avatars. This article examines the effect of task complexity on team collaboration. A puzzle game in Second Life was used as the collaborative task and task complexity was manipulated by varying the number of pieces in the puzzle. The hypotheses are that task complexity influences team trust, and team trust influences team process satisfaction in virtual team collaboration. The experimental results indicate that task complexity has significant effects on team trust and team process satisfaction, and team …
Extracting A Relational Database Schema From A Document Database,
2017
University of North Florida
Extracting A Relational Database Schema From A Document Database, Jared Thomas Wheeler
UNF Graduate Theses and Dissertations
As NoSQL databases become increasingly used, more methodologies emerge for migrating from relational databases to NoSQL databases. Meanwhile, there is a lack of methodologies that assist in migration in the opposite direction, from NoSQL to relational. As software is being iterated upon, use cases may change. A system which was originally developed with a NoSQL database may accrue needs which require Atomic, Consistency, Isolation, and Durability (ACID) features that NoSQL systems lack, such as consistency across nodes or consistency across re-used domain objects. Shifting requirements could result in the system being changed to utilize a relational database. While there are …
Investigating The Spatial Complexity Of Various Pke-Peks Schematics,
2016
Rose-Hulman Institute of Technology
Investigating The Spatial Complexity Of Various Pke-Peks Schematics, Jacob Patterson
Rose-Hulman Undergraduate Research Publications
With the advent of cloud storage, people upload all sorts of information to third party servers. However, uploading plaintext does not seem like a good idea for users who wish to keep their data private. Current solutions to this problem in literature involves integrating Public Key Encryption and Public key encryption with keyword search techniques. The intent of this paper is to analyze the spatial complexities of various PKE-PEKS schemes at various levels of security and discuss potential avenues for improvement.
Handling Relationships In A Wiki System,
2016
San Jose State University
Handling Relationships In A Wiki System, Yashi Kamboj
Master's Projects
Wiki software enables users to manage content on the web, and create or edit web pages freely. Most wiki systems support the creation of hyperlinks on pages and have a simple text syntax for page formatting. A common, more advanced feature is to allow pages to be grouped together as categories. Currently, wiki systems support categorization of pages in a very traditional way by specifying whether a wiki page belongs to a category or not. Categorization represents unary relationship and is not sufficient to represent n-ary relationships, those involving links between multiple wiki pages.
In this project, we extend Yioop, …
Predicting User's Future Requests Using Frequent Patterns,
2016
San Jose State University
Predicting User's Future Requests Using Frequent Patterns, Marc Nipuna Dominic Savio
Master's Projects
In this research, we predict User's Future Request using Data Mining Algorithm. Usage of the World Wide Web has resulted in a huge amount of data and handling of this data is getting hard day by day. All this data is stored as Web Logs and each web log is stored in a different format with different Field names like search string, URL with its corresponding timestamp, User ID’s that helps for session identification, Status code, etc. Whenever a user requests for a URL there is a delay in getting the page requested and sometimes the request is denied. Our …
Deep Data Analysis On The Web,
2016
San Jose State University
Deep Data Analysis On The Web, Xuanyu Liu
Master's Projects
Search engines are well known to people all over the world. People prefer to use keywords searching to open websites or retrieve information rather than type typical URLs. Therefore, collecting finite sequences of keywords that represent important concepts within a set of authors is important, in other words, we need knowledge mining. We use a simplicial concept method to speed up concept mining. Previous CS 298 project has studied this approach under Dr. Lin. This method is very fast, for example, to mine the concept, FP-growth takes 876 seconds from a database with 1257 columns 65k rows, simplicial complex only …
Spatial Data Mining Analytical Environment For Large Scale Geospatial Data,
2016
LSU New Orleans
Spatial Data Mining Analytical Environment For Large Scale Geospatial Data, Zhao Yang
LSU New Orleans Theses and Dissertations
Nowadays, many applications are continuously generating large-scale geospatial data. Vehicle GPS tracking data, aerial surveillance drones, LiDAR (Light Detection and Ranging), world-wide spatial networks, and high resolution optical or Synthetic Aperture Radar imagery data all generate a huge amount of geospatial data. However, as data collection increases our ability to process this large-scale geospatial data in a flexible fashion is still limited. We propose a framework for processing and analyzing large-scale geospatial and environmental data using a “Big Data” infrastructure. Existing Big Data solutions do not include a specific mechanism to analyze large-scale geospatial data. In this work, we extend …
Web-Based Integrated Development Environment,
2016
San Jose State University
Web-Based Integrated Development Environment, Hien T. Vu
Master's Projects
As tablets become more powerful and more economical, students are attracted to them and are moving away from desktops and laptops. Their compact size and easy to use Graphical User Interface (GUI) reduce the learning and adoption barriers for new users. This also changes the environment in which undergraduate Computer Science students learn how to program. Popular Integrated Development Environments (IDE) such as Eclipse and NetBeans require disk space for local installations as well as an external compiler. These requirements cannot be met by current tablets and thus drive the need for a web-based IDE. There are also many other …
Aiddata Gis International Fellowship: Ghana West-Africa,
2016
GISDE
Aiddata Gis International Fellowship: Ghana West-Africa, Jason N. Ready
Sustainability and Social Justice
My internship, or fellowship as it was commonly referred to, was funded by a non-profit organization out of Williamsburg Virginia called AidData. This fellowship took place in in the country of Ghana, West-Africa beginning in May of 2016 and continued for 14 weeks with 40 hours each week. The objective of this internship was to provide in-depth training on the use of geographic Information Systems to Private and Public sectors within the country to allow for increased efficiency, and transparency through data visualization. In accordance with the requirement of Clark Universities GISDE master’s program this paper will delve into the …
A System For Detecting Malicious Insider Data Theft In Iaas Cloud Environments,
2016
Dakota State University
A System For Detecting Malicious Insider Data Theft In Iaas Cloud Environments, Jason Nikolai, Yong Wang
Research & Publications
The Cloud Security Alliance lists data theft and insider attacks as critical threats to cloud security. Our work puts forth an approach using a train, monitor, detect pattern which leverages a stateful rule based k-nearest neighbors anomaly detection technique and system state data to detect inside attacker data theft on Infrastructure as a Service (IaaS) nodes. We posit, instantiate, and demonstrate our approach using the Eucalyptus cloud computing infrastructure where we observe a 100 percent detection rate for abnormal login events and data copies to outside systems.
Implementation And Testing Of A Book Lookup System For The Robert E. Kennedy Library,
2016
California Polytechnic State University, San Luis Obispo
Implementation And Testing Of A Book Lookup System For The Robert E. Kennedy Library, Casey C. Sheehan
Computer Science and Software Engineering
The goal of this senior project centered around improving the quality of student and teacher experiences when visiting the library. The task of finding a book amongst the shelves is an arduous one, which I felt could be improved upon through implementation and testing of a Book Lookup system for the Cal Poly Robert E. Kennedy Library. Development for this project was done using a Python framework. Testing and earlier designs were also created using JavaScript and PHP. Repeated tests were conducted on the accuracy of the software and its ability to decrease user search-time when compared to conventional methods.
Designing A Datawarehousing And Business Analytics Course Using Experiential Learning Pedagogy,
2016
Singapore Management University
Designing A Datawarehousing And Business Analytics Course Using Experiential Learning Pedagogy, Gottipati Swapna, Venky Shankararaman
Research Collection School Of Computing and Information Systems
Experiential learning refers to learning from experience or learning by doing. Universities have explored various forms for implementing experiential learning such as apprenticeships, internships, cooperative education, practicums, service learning, job shadowing, fellowships and community activities. However, very little has been done in systematically trying to integrate experiential learning to the main stream academic curriculum. Over the last two years, at the authors’ university, a new program titled UNI-X was launched to achieve this. Combining academic curriculum with experiential learning pedagogy, provides a challenging environment for students to use their disciplinary knowledge and skills to tackle real world problems and issues …
Applying Ahp And Clustering Approaches For Public Transportation Decisionmaking: A Case Study Of Isfahan City,
2016
Isfahan Dept. of Transportation and Traffic
Applying Ahp And Clustering Approaches For Public Transportation Decisionmaking: A Case Study Of Isfahan City, Alireza Salavati, Hossein Haghshenas, Bahador Ghadirifaraz, Jamshid Laghaei, Ghodrat Eftekhari
Journal of Public Transportation
The main purpose of this paper is to define appropriate criteria for the systematic approach to evaluate and prioritize multiple candidate corridors for public transport investment simultaneously to serve travel demand, regarding supply of current public transportation system and road network conditions of Isfahan, Iran. To optimize resource allocation, policymakers need to identify proper corridors to implement a public transportation system. In fact, the main question is to adopt the best public transportation system for each main corridor of Isfahan. In this regard, 137 questionnaires were completed by experts, directors, and policymakers of Isfahan to identify goals and objectives in …
Preliminary Investigation Of Walking Motion Using A Combination Of Image And Signal Processing,
2016
Wright State University - Main Campus
Preliminary Investigation Of Walking Motion Using A Combination Of Image And Signal Processing, Bradley Schneider, Tanvi Banerjee
Kno.e.sis Publications
We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video …
Towards Building A Review Recommendation System That Trains Novices By Leveraging The Actions Of Experts,
2016
University of Nebraska-Lincoln
Towards Building A Review Recommendation System That Trains Novices By Leveraging The Actions Of Experts, Shilpa Khanal
School of Computing: Dissertations, Theses, and Student Research
Online reviews increase consumer visits, increase the time spent on the website, and create a sense of community among the frequent shoppers. Because of the importance of online reviews, online retailers such as Amazon.com and eOpinions provide detailed guidelines for writing reviews. However, though these guidelines provide instructions on how to write reviews, reviewers are not provided instructions for writing product-specific reviews. As a result, poorly-written reviews are abound and a customer may need to scroll through a large number of reviews, which could be up to 6000 pixels down from the top of the page, in order to find …
The Development Of An Automated Testing Framework For Data-Driven Testing Utilizing The Uml Testing Profile,
2016
Dakota State University
The Development Of An Automated Testing Framework For Data-Driven Testing Utilizing The Uml Testing Profile, James Edward Hearn
Masters Theses & Doctoral Dissertations
The development of increasingly-complex Web 2.0 applications, along with a rise in end-user expectations, have not only made the testing and quality assurance processes of web application development an increasingly-important part of the SDLC, but have also made these processes more complex and resource-intensive. One way to effectively test these applications is by implementing an automated testing solution along with manual testing, as automation solutions have been shown to increase the total amount of testing that can be performed, and help testing team achieve consistency in their testing efforts. The difficulty, though, lies in how to best go about developing …
Ios Application For Inventory In Small Retail Stores,
2016
California Polytechnic State University, San Luis Obispo
Ios Application For Inventory In Small Retail Stores, Andrea Savage
Computer Science and Software Engineering
Currently, small retail stores with low technology budgets such as those right here in San Luis Obispo are struggling to integrate new technologies into their companies. This mobile application built for iOS with a Firebase backend is seeking to remove their barriers to entry. I built this application to give small retail stores a customizable application that allows them to display products electronically to customers and maintain accurate inventory both in one place. The construction of this application hinged around three major design decisions: UI design of the color management views, organization of the database, and accessing the database with …
Cryptographic Reverse Firewall Via Malleable Smooth Projective Hash Functions,
2016
Singapore Management University
Cryptographic Reverse Firewall Via Malleable Smooth Projective Hash Functions, Rongmao Chen, Guomin Yang, Guomin Yang, Willy Susilo, Fuchun Guo, Mingwu Zhang
Research Collection School Of Computing and Information Systems
Motivated by the revelations of Edward Snowden, postSnowden cryptography has become a prominent research direction in recent years. In Eurocrypt 2015, Mironov and Stephens-Davidowitz proposed a novel concept named cryptographic reverse firewall (CRF) which can resist exfiltration of secret information from an arbitrarily compromised machine. In this work, we continue this line of research and present generic CRF constructions for several widely used cryptographic protocols based on a new notion named malleable smooth projective hash function. Our contributions can be summarized as follows. – We introduce the notion of malleable smooth projective hash function, which is an extension of the …
Validating Social Media Data For Automatic Persona Generation,
2016
Singapore Management University
Validating Social Media Data For Automatic Persona Generation, Jisun An, Haewoon Kwak, Bernard J Jansen
Research Collection School Of Computing and Information Systems
Using personas during interactive design has considerable potential for product and content development. Unfortunately, personas have typically been a fairly static technique. In this research, we validate an approach for creating personas in real time, based on analysis of actual social media data in an effort to automate the generation of personas. We validate that social media data can be implemented as an approach for automating generating personas in real time using actual YouTube social media data from a global media corporation that produces online digital content. Using the organization's YouTube channel, we collect demographic data, customer interactions, and topical …
