Computer Sciences Commons^™

A Probabilistic Graphical Model For Topic And Preference Discovery On Social Media, Lu Liu, Feida Zhu, Lei Zhang, Shiqiang Yang

Research Collection School Of Computing and Information Systems

Many web applications today thrive on offering services for large-scale multimedia data, e.g., Flickr for photos and YouTube for videos. However, these data, while rich in content, are usually sparse in textual descriptive information. For example, a video clip is often associated with only a few tags. Moreover, the textual descriptions are often overly specific to the video content. Such characteristics make it very challenging to discover topics at a satisfactory granularity on this kind of data. In this paper, we propose a generative probabilistic model named Preference-Topic Model (PTM) to introduce the dimension of user preferences to enhance the …

Eating Alone, Together: New Forms Of Commensality, Catherine Grevet, Anthony Tang, Elizabeth Mynatt

Research Collection School Of Computing and Information Systems

Eating with others, or commensality, is an enjoyable activity that serves many important social functions; however, many individuals eat meals alone due to life circumstances, meaning that they miss out on these social benefits. We developed and deployed a simple technology probe providing social awareness around mealtimes to explore how social systems might help alleviate the loneliness of solitary dining. Our findings suggest that these systems can convey a sense of connectedness around a meal; further, our analysis revealed three themes relevant to systems of this type: that contextually-located peripheral awareness engenders connectedness; that such tools can foster a feeling …

Entity Synonyms For Structured Web Search, Tao Cheng, Hady W. Lauw, Stelios Paparizos

Research Collection School Of Computing and Information Systems

Nowadays, there are many queries issued to search engines targeting at finding values from structured data (e.g., movie showtime of a specific location). In such scenarios, there is often a mismatch between the values of structured data (how content creators describe entities) and the web queries (how different users try to retrieve them). Therefore, recognizing the alternative ways people use to reference an entity, is crucial for structured web search. In this paper, we study the problem of automatic generation of entity synonyms over structured data toward closing the gap between users and structured data. We propose an offline, data-driven …

Influentials, Novelty, And Social Contagion: The Viral Power Of Average Friends, Close Communities, And Old News, Nicholas Harrigan, Palakorn Achananuparp, Ee Peng Lim

Research Collection School Of Computing and Information Systems

What is the effect of (1) popular individuals, and (2) community structures on the retransmission of socially contagious behavior? We examine a community of Twitter users over a five month period, operationalizing social contagion as ‘retweeting’, and social structure as the count of subgraphs (small patterns of ties and nodes) between users in the follower/following network. We find that popular individuals act as ‘inefficient hubs’ for social contagion: they have limited attention, are overloaded with inputs, and therefore display limited responsiveness to viral messages. We argue this contradicts the ‘law of the few’ and ‘influentials hypothesis’. We find that community …

Information Retrieval Based Nearest Neighbor Classification For Fine-Grained Bug Severity Prediction, Yuan Tian, David Lo, Chengnian Sun

Research Collection School Of Computing and Information Systems

Bugs are prevalent in software systems. Some bugs are critical and need to be fixed right away, whereas others are minor and their fixes could be postponed until resources are available. In this work, we propose a new approach leveraging information retrieval, in particular BM25-based document similarity function, to automatically predict the severity of bug reports. Our approach automatically analyzes bug reports reported in the past along with their assigned severity labels, and recommends severity labels to newly reported bug reports. Duplicate bug reports are utilized to determine what bug report features, be it textual, ordinal, or categorical, are important. …

Credit Card Program Value Maximization With Promotion Density For Product Discounts In Shopping Malls, Rae M. Chang, Robert John Kauffman, Kwansoo Kim

Research Collection School Of Computing and Information Systems

We model value maximization of credit card programs for shopping malls, when card customerscan obtain product discounts of different percentages in the presence of promotion density andcompetition. Our results suggest strategies for quantitatively evaluating the trade-offs in valueoutcomes when consumer sensitivity to product discounting varies.

Sensor Openflow: Enabling Software-Defined Wireless Sensor Networks, Tie Luo, Hwee-Pink Tan, Tony Q. S. Quek

Research Collection School Of Computing and Information Systems

While it has been a belief for over a decade that wireless sensor networks (WSN) are application-specific, we argue that it can lead to resource underutilization and counter-productivity. We also identify two other main problems with WSN: rigidity to policy changes and difficulty to manage. In this paper, we take a radical, yet backward and peer compatible, approach to tackle these problems inherent to WSN. We propose a Software-Defined WSN architecture and address key technical challenges for its core component, Sensor OpenFlow. This work represents the first effort that synergizes software-defined networking and WSN.

The Factors Behind A Successful Implementation Of Electronic Health Records Systems, Anjee Gorkhali

Engineering Management & Systems Engineering Theses & Dissertations

This research explores the role that budget for Information System (IS) and technical expertise of healthcare service provider staff play on the successful leap from a partial to exhaustive implementation of Electronic Health Records (EHR) Systems. Technical expertise in Information Systems might not be easily measurable directly, but there are a number of indicators that could be used as a proxy, such as: Information System (IS) Department Budget, number of IS staff and the extent of technical trainings provided by the IS department to the clinical staff. This research study hypothesizes that quality technical trainings conducted by an IS department …

Front Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

Masthead

Journal of Digital Forensics, Security and Law

No abstract provided.

Back Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

Awsr: Active Web Service Recommendation Based On Usage History, Guosheng Kang, Jianxun Liu, Mingdong Tang, Xiaoqing Liu, Buqing Cao, Yu Xu

Computer Science Faculty Research & Creative Works

Web services are very prevalent nowadays. Recommending Web services that users are interested in becomes an interesting and challenging research problem. in this paper, we present AWSR (Active Web Service Recommendation), an effective Web service recommendation system based on users' usage history to actively recommend Web services to users. AWSR extracts user's functional interests and QoS preferences from his/her usage history. Similarity between user's functional interests and a candidate Web service is calculated first. a hybrid new metric of similarity is developed to combine functional similarity measurement and nonfunctional similarity measurement based on comprehensive QoS of Web services. the AWSR …

Location-Aware Collaborative Filtering For Qos-Based Service Recommendation, Mingdong Tang, Yechun Jiang, Jianxun Liu, Xiaoqing Liu

Computer Science Faculty Research & Creative Works

Collaborative filtering is one of widely used Web service recommendation techniques. in QoS-Based Web service recommendation, predicting missing QoS values of services is often required. There have been several methods of Web service recommendation based on collaborative filtering, but seldom have they considered locations of both users and services in predicting QoS values of Web services. Actually, locations of users or services do have remarkable impacts on values of QoS factors, such as response time, throughput, and reliability. in this paper, we propose a method of location-aware collaborative filtering to recommend Web services to users by incorporating locations of both …

A Glyph And Animation-Based Visualization System For Evaluation And Comparison Of Soccer Players, Edward Burns

Theses and Dissertations

The dimensionality of soccer statistics relating to both player and goalkeeper specific data can be difficult to interpret. Attempting to formulate an analysis of large sums of soccer statistics can be extremely challenging if the data is not presented graphically. As a result, we developed an application, titled Soccer Scoop, which provides two separate visualizations that can aid a soccer team manager. With this application, a team manager can compare two players on different teams, analyze a particular player before signing them to a contract, measure the performance of a particular player at different positions, generate practice exercises, and determine …

Secure Browser-Based Instant Messaging, Christopher Douglas Robison

Theses and Dissertations

Instant messaging is a popular form of communication over the Internet. Statistics show that instant messaging has overtaken email in popularity. Traditionally, instant messaging has consisted of a desktop client communicating with other clients via an instant messaging service provider. However, instant messaging solutions are starting to become available in the web browser–services like Google Talk, Live Messenger and Facebook. Despite the work done by researchers to secure instant messaging networks, little work has been done to secure instant messaging in the browser. We present secure browser-based instant messaging overlays as a means to enable convenient, secure communication in existing …

Dynamic Estimation Of Rater Reliability In Regression Tasks Using Multi-Armed Bandit Techniques, Alexey Tarasov, Sarah Jane Delany, Brian Mac Namee

Conference papers

No abstract provided.

Multi-Level Opinion Dynamics Under Bounded Confidence, Gang Kou, Yiyi Zhao, Yi Peng, Yong Shi

Information Systems and Quantitative Analysis Faculty Publications

Opinion dynamics focuses on the opinion evolution in a social community. Recently, some models of continuous opinion dynamics under bounded confidence were proposed by Deffuant and Krause, et al. In the literature, agents were generally assumed to have a homogeneous confidence level. This paper proposes an extended model for a group of agents with heterogeneous confidence levels. First, a social differentiation theory is introduced and a social group is divided into opinion subgroups with distinct confidence levels. Second, a multi-level heterogeneous opinion formation model is formulated under the framework of bounded confidence. Finally, computer simulations are conducted to study the …

Effects Of Architecture On Information Leakage Of A Hardware Advanced Encryption Standard Implementation, Eric A. Koziel

Theses and Dissertations

Side-channel analysis (SCA) is a threat to many modern cryptosystems. Many countermeasures exist, but are costly to implement and still do not provide complete protection against SCA. A plausible alternative is to design the cryptosystem using architectures that are known to leak little information about the cryptosystem's operations. This research uses several common primitive architectures for the Advanced Encryption Standard (AES) and assesses the susceptibility of the full AES system to side-channel attack for various primitive configurations. A combined encryption/decryption core is also evaluated to determine if variation of high-level architectures affects leakage characteristics. These different configurations are evaluated under …

Creating Network Attack Priority Lists By Analyzing Email Traffic Using Predefined Profiles, Eric J. Merrit

Theses and Dissertations

Networks can be vast and complicated entities consisting of both servers and workstations that contain information sought by attackers. Searching for specific data in a large network can be a time consuming process. Vast amounts of data either passes through or is stored by various servers on the network. However, intermediate work products are often kept solely on workstations. Potential high value targets can be passively identified by comparing user email traffic against predefined profiles. This method provides a potentially smaller footprint on target systems, less human interaction, and increased efficiency of attackers. Collecting user email traffic and comparing each …

.Net High Performance Computing, Hsuan-Hsiu Ou

Student Theses and Dissertations

Graphics Processing Units (GPUs) have been extensively applied in the High Performance Computing (HPC) community. HPC applications require additional special programming environments to improve the utilization of GPUs, for example, NVIDIA's CUDA and Khronos group's OpenCL. This thesis will introduce a preprocessor framework called HPC.NET, which is deployed on the Microsoft .NET platform to meet demands of GPU programmers while utilizing familiar languages. Multiple .NET languages are supported as well as detected loops and .NET TPL methods are converted into NVIDIA CUDA code automatically using common language processing techniques. Moreover, HPC.NET is able to scale to utilize multiple GPUs in …

Whole-Word Recognition From Articulatory Movements For Silent Speech Interfaces, Jun Wang, Ashok Samal, Jordan R. Green, Frank Rudzicz

Department of Special Education and Communication Disorders: Faculty Publications

Articulation-based silent speech interfaces convert silently produced speech movements into audible words. These systems are still in their experimental stages, but have significant potential for facilitating oral communication in persons with laryngectomy or speech impairments. In this paper, we report the result of a novel, real-time algorithm that recognizes whole-words based on articulatory movements. This approach differs from prior work that has focused primarily on phoneme-level recognition based on articulatory features. On average, our algorithm missed 1.93 words in a sequence of twenty-five words with an average latency of 0.79 seconds for each word prediction using a data set of …

Utilizing Graphics Processing Units For Network Anomaly Detection, Jonathan D. Hersack

Theses and Dissertations

This research explores the benefits of using commonly-available graphics processing units (GPUs) to perform classification of network traffic using supervised machine learning algorithms. Two full factorial experiments are conducted using a NVIDIA GeForce GTX 280 graphics card. The goal of the first experiment is to create a baseline for the relative performance of the CPU and GPU implementations of artificial neural network (ANN) and support vector machine (SVM) detection methods under varying loads. The goal of the second experiment is to determine the optimal ensemble configuration for classifying processed packet payloads using the GPU anomaly detector. The GPU ANN achieves …

Susan Anderson-Freed, Susan Anderson-Freed, Meg Miner

All oral histories

Dr. Susan Anderson-Freed began teaching in the Sociology Department at Illinois Wesleyan University in 1977. A few years later she was reappointed to a position in the Computer Science program where she remained until her departure in 2008.

Anderson-Freed left teaching due to the effects of cancer treatments she was receiving and died on November 4, 2012. A long-time knitting enthusiast, she used the time of her treatments to design patterns and published two books on the subjects. Proceeds from these volumes, which have already been translated into several languages, are designated for the Community Cancer Center, Normal, Illinois. Her …

Recent Advances In Integrating Owl And Rules, Matthias Knorr, David Carral Martinez, Pascal Hitzler, Adila A. Krisnadhi, Frederick Maier, Cong Wang

Computer Science and Engineering Faculty Publications

As part of the quest for a unifying logic for the Semantic Web Technology Stack, a central issue is finding suitable ways of integrating description logics based on the Web Ontology Language (OWL) with rule-based approaches based on logic programming. Such integration is difficult since naive approaches typically result in the violation of one or more desirable design principles. For example, while both OWL 2 DL and RIF Core (a dialect of the Rule Interchange Format RIF) are decidable, their naive union is not, unless carefully chosen syntactic restrictions are applied.

We report on recent advances and ongoing work by …

A Tableau Algorithm For Description Logics With Nominal Schema, Adila Krisnadhi, Pascal Hitzler

Computer Science and Engineering Faculty Publications

We present a tableau algorithm for the description logic ALCOV. This description logic is obtained by extending the description logic ALCO with the expressive nominal schema construct that enables DL-safe datalog with predicates of arbitrary arity to be covered within the description logic framework. The tableau algorithm provides a basis to implement a delayed grounding strategy which was not facilitated by earlier versions of decision procedures for satisfiability in expressive description logics with nominal schemas.

Predicting Common Web Application Vulnerabilities From Input Validation And Sanitization Code Patterns, Lwin Khin Shar, Hee Beng Kuan Tan

Research Collection School Of Computing and Information Systems

Software defect prediction studies have shown that defect predictors built from static code attributes are useful and effective. On the other hand, to mitigate the threats posed by common web application vulnerabilities, many vulnerability detection approaches have been proposed. However, finding alternative solutions to address these risks remains an important research problem. As web applications generally adopt input validation and sanitization routines to prevent web security risks, in this paper, we propose a set of static code attributes that represent the characteristics of these routines for predicting the two most common web application vulnerabilities—SQL injection and cross site scripting. In …

Automatic Content-Based Temporal Alignment Of Image Sequences With Varying Spatio-Temporal Resolution, Samuel R. Ogden

Theses and Dissertations

Many applications use multiple cameras to simultaneously capture imagery of a scene from different vantage points on a rigid, moving camera system over time. Multiple cameras often provide unique viewing angles but also additional levels of detail of a scene at different spatio-temporal resolutions. However, in order to benefit from this added information the sources must be temporally aligned. As a result of cost and physical limitations it is often impractical to synchronize these sources via an external clock device. Most methods attempt synchronization through the recovery of a constant scale factor and offset with respect to time. This limits …

Gpu-Based High-Performance Computing, Su Chen

Student Theses and Dissertations

In the past few years, multi-core and many-core CPU/GPU architectures have received unprecedented attention and were becoming the only hope to keep Moore's law from working in this age. Because of the change of the computer architecture and the corresponding programming model, software development for the new GPU architectures has not been fully researched and is far behind the development of hardware. Applications and algorithms need to be redesigned and optimized as GPU code so that reasonable comparison can be made between CPU and GPU versions in term of performance. In this thesis work, the author collects four major research …

Achieving High Accuracy Prediction Of Minimotifs, Tian Mi, Sanguthevar Rajasekaran, Jerlin Camilus Merlin, Michael R. Gryk, Martin Schiller

Life Sciences Faculty Research

The low complexity of minimotif patterns results in a high false-positive prediction rate, hampering protein function prediction. A multi-filter algorithm, trained and tested on a linear regression model, support vector machine model, and neural network model, using a large dataset of verified minimotifs, vastly improves minimotif prediction accuracy while generating few false positives. An optimal threshold for the best accuracy reaches an overall accuracy above 90%, while a stringent threshold for the best specificity generates less than 1% false positives or even no false positives and still produces more than 90% true positives for the linear regression and neural network …

Distance Vector Routing Protocols Vs Link State, Fidan Vërbovci

Theses and Dissertations

Procesi i Rutimit të informacioneve është njëri nga proceset esenciale duke filluar nga rrjetet më të vogla komunikuese. Me rritjen dhe zhvillimin e rrjetave kompjuterike ne madhësi dhe për nga kompleksiviteti i tyre edhe çështjet e rutimit te informacioneve apo konfigurimi i rrugëve se kah duhet të shkoj ai informacion bëhet me delikat. Në këtë mënyrë duhet tu kushtohet shumë kujdese aftësive për menaxhimin e rrjetave të kompjuterëve (qofshin ato rrjeta të vogla, mesme apo të mëdha) , dizajnimin e tyre si dhe mirëmbajtjes së tyre (Network troubleshooting). Për administrimin e rrjetave te kompjuterëve dhe sistemeve te distribuimit nevojiten ekspert …