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Innovation Engine, Arcot Desai Narasimhalu Jun 2007

Innovation Engine, Arcot Desai Narasimhalu

Research Collection School Of Computing and Information Systems

This paper describes a meta-model for innovation using an automobile engine as a metaphor. This innovation meta-model is used to manage a collection of innovation models. We develop an algorithm to identify innovations with potential for success using this meta-model. This meta-model can be used by corporations and individuals to identify plausible innovations at any given point in time.

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Active Learning For Part-Of-Speech Tagging: Accelerating Corpus Annotation, George Busby, Marc Carmen, James Carroll, Robbie Haertel, Deryle W. Lonsdale, Peter Mcclanahan, Eric K. Ringger, Kevin Seppi Jun 2007

Active Learning For Part-Of-Speech Tagging: Accelerating Corpus Annotation, George Busby, Marc Carmen, James Carroll, Robbie Haertel, Deryle W. Lonsdale, Peter Mcclanahan, Eric K. Ringger, Kevin Seppi

Faculty Publications

In the construction of a part-of-speech annotated corpus, we are constrained by a fixed budget. A fully annotated corpus is required, but we can afford to label only a subset. We train a Maximum Entropy Markov Model tagger from a labeled subset and automatically tag the remainder. This paper addresses the question of where to focus our manual tagging efforts in order to deliver an annotation of highest quality. In this context, we find that active learning is always helpful. We focus on Query by Uncertainty (QBU) and Query by Committee (QBC) and report on experiments with several baselines and …

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Can Uml Be Simplified? Practitioner Use Of Uml In Separate Domains, J. Erickson, Keng Siau Jun 2007

Can Uml Be Simplified? Practitioner Use Of Uml In Separate Domains, J. Erickson, Keng Siau

Research Collection School Of Computing and Information Systems

UML’s complexity is regularly criticized by practitioners and researchers alike, who argue that such complexity is a considerable detriment to the adoption and use of UML in the field. Attempts have been made to assess and/or measure UML’s complexity in a number of ways. Erickson and Siau proposed that a subset (kernel) of UML, composed of the most important constructs, could be equated with the complexity that practitioners face when using the modeling language. This research extends Erickson and Siau’s work by proposing a UML kernel in three application areas, real-time, webbased and enterprise systems. Compared to other modeling methods …

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Intelligence Through Interaction: Towards A Unified Theory For Learning, Ah-Hwee Tan, Gail A. Carpenter, Stephen Grossberg Jun 2007

Intelligence Through Interaction: Towards A Unified Theory For Learning, Ah-Hwee Tan, Gail A. Carpenter, Stephen Grossberg

Research Collection School Of Computing and Information Systems

Machine learning, a cornerstone of intelligent systems, has typically been studied in the context of specific tasks, including clustering (unsupervised learning), classification (supervised learning), and control (reinforcement learning). This paper presents a learning architecture within which a universal adaptation mechanism unifies a rich set of traditionally distinct learning paradigms, including learning by matching, learning by association, learning by instruction, and learning by reinforcement. In accordance with the notion of embodied intelligence, such a learning theory provides a computational account of how an autonomous agent may acquire the knowledge of its environment in a real-time, incremental, and continuous manner. Through a …

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The Multi-Agent Data Collection In Hla-Based Simulation System, Heng-Jie Song, Zhi-Qi Shen, Chunyan Miao, Ah-Hwee Tan, Guo-Peng Zhao Jun 2007

The Multi-Agent Data Collection In Hla-Based Simulation System, Heng-Jie Song, Zhi-Qi Shen, Chunyan Miao, Ah-Hwee Tan, Guo-Peng Zhao

Research Collection School Of Computing and Information Systems

The High Level Architecture (HLA) for distributed simulation was proposed by the Defense Modeling and Simulation Office of the Department of Defense (DOD) in order to support interoperability among simulations as well as reuse of simulation models. One aspect of reusability is to collect and analyze data generated in simulation exercises, including a record of events that occur during the execution, and the states of simulation objects. In order to improve the performance of existing data collection mechanisms in the HLA simulation system, the paper proposes a multi-agent data collection system. The proposed approach adopts the hierarchical data management/organization mechanism …

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A Hybrid Of Plot-Based And Character-Based Interactive Storytelling, Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen Jun 2007

A Hybrid Of Plot-Based And Character-Based Interactive Storytelling, Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen

Research Collection School Of Computing and Information Systems

Interactive storytelling in the virtual environment attracts a lot of research interests in recent years. Story plot and character are two most important elements of a story. Based on these two elements, currently there are two research directions: plot-based and character-based interactive storytelling. However, plot-based approach lacks the refinement of character behaviors as character-based approach. On the other side, character-based approach does not follow a well organized story plot so that the moral of the story might be distorted. Therefore, there is a need to develop an integrated framework to achieve the balance between conveying story moral and enhancing the …

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An Efficient Identity-Based Key Exchange Protocol With Kgs Forward Secrecy For Low-Power Devices, Robert W. Zhu, Guomin Yang, Duncan S. Wong Jun 2007

An Efficient Identity-Based Key Exchange Protocol With Kgs Forward Secrecy For Low-Power Devices, Robert W. Zhu, Guomin Yang, Duncan S. Wong

Research Collection School Of Computing and Information Systems

For an ID-based key exchange (KE) protocol, KGS forward secrecy is about the protection of previously established session keys after the master secret key of the Key Generation Server (KGS) is compromised. This is the strongest notion of forward secrecy that one can provide for an ID-based KE protocol. Among all the comparable protocols, there are only a few of them that provide this level of forward secrecy, and all of these protocols require expensive bilinear pairing operations and map-to-point hash operations that may not be suitable for implementation on low-power devices such as sensors. In this paper, we propose …

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Time Capsule Signature: Efficient And Provably Secure Constructions, Bessie C. Hu, Duncan S. Wong, Qiong Huang, Guomin Yang, Xiaotie Deng Jun 2007

Time Capsule Signature: Efficient And Provably Secure Constructions, Bessie C. Hu, Duncan S. Wong, Qiong Huang, Guomin Yang, Xiaotie Deng

Research Collection School Of Computing and Information Systems

Time Capsule Signature, first formalized by Dodis and Yum in Financial Cryptography 2005, is a digital signature scheme which allows a signature to bear a (future) time t so that the signature will only be valid at time t or later, when a trusted third party called time server releases time-dependent information for checking the validity of a time capsule signature. Also, the actual signer of a time capsule signature has the privilege to make the signature valid before time t.In this paper, we provide a new security model of time capsule signature such that time server is not required …

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A More Natural Way To Construct Identity-Based Identification Schemes, Guomin Yang, Jing Chen, Duncan S. Wong, Xiaotie Deng, Dongsheng Wang Jun 2007

A More Natural Way To Construct Identity-Based Identification Schemes, Guomin Yang, Jing Chen, Duncan S. Wong, Xiaotie Deng, Dongsheng Wang

Research Collection School Of Computing and Information Systems

Constructing identification schemes is one of the fundamental problems in cryptography, and is very useful in practice. An identity-based identification (IBI) scheme allows a prover to identify itself to a public verifier who knows only the claimed identity of the prover and some common information. In this paper, we propose a simple and efficient framework for constructing IBI schemes. Unlike some related framework which constructs IBI schemes from some standard identification schemes, our framework is based on some more fundamental assumptions on intractable problems. Depending on the features of the underlying intractable problems presumed in our framework, we can derive …

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Mobile G-Portal Supporting Collaborative Sharing And Learning In Geography Fieldwork: An Empirical Study, Yin-Leng Theng, Kuah-Li Tan, Ee Peng Lim, Jun Zhang, Dion Hoe-Lian Goh, Kalyani Chatterjea, Chew-Hung Chang, Aixin Sun, Han Yu, Nam Hai Dang, Yuanyuan Li, Minh Chanh Vo Jun 2007

Mobile G-Portal Supporting Collaborative Sharing And Learning In Geography Fieldwork: An Empirical Study, Yin-Leng Theng, Kuah-Li Tan, Ee Peng Lim, Jun Zhang, Dion Hoe-Lian Goh, Kalyani Chatterjea, Chew-Hung Chang, Aixin Sun, Han Yu, Nam Hai Dang, Yuanyuan Li, Minh Chanh Vo

Research Collection School Of Computing and Information Systems

Integrated with G-Portal, a Web-based geospatial digital library of geography resources, this paper describes the implementation of Mobile G-Portal, a group of mobile devices as learning assistant tools supporting collaborative sharing and learning for geography fieldwork. Based on a modified Technology Acceptance Model and a Task-Technology Fit model, an initial study with Mobile G-Portal was conducted involving 39 students in a local secondary school. The findings suggested positive indication of acceptance of Mobile G-Portal for geography fieldwork. The paper concludes with a discussion on technological challenges, recommendations for refinement of Mobile G-Portal, and design implications in general for digital libraries …

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Designing An Experimental Gaming Platform For Trading Grid Resources, Danny Oh, Shih-Fen Cheng, Dan Ma, Ravi Bapna Jun 2007

Designing An Experimental Gaming Platform For Trading Grid Resources, Danny Oh, Shih-Fen Cheng, Dan Ma, Ravi Bapna

Research Collection School Of Computing and Information Systems

This paper describes our current work in designing an experimental gaming platform for simulating the trading of grid resources. The open platform allows researchers in grid economics to experiment with different market structures and pricing models. We would be using a design science approach in the implementation. Key design considerations and an overview of the functional design of the platform are presented and discussed.

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A Time-And-Value Centric Provenance Model And Architecture For Medical Event Streams, Marion Bllount, John Davis, Archan Misra, Daby Sow, Min Wang Jun 2007

A Time-And-Value Centric Provenance Model And Architecture For Medical Event Streams, Marion Bllount, John Davis, Archan Misra, Daby Sow, Min Wang

Research Collection School Of Computing and Information Systems

Provenance becomes a critical requirement for healthcare IT infrastructures, especially when pervasive biomedical sensors act as a source of raw medical streams for large-scale, automated clinical decision support systems. Medical and legal requirements will make it obligatory for such systems to answer queries regarding the underlying data samples from which output alerts are derived, the IDs of the processing components used and the privileges of the individuals and software components accessing the medical data. Unfortunately, existing models of either annotation or process based provenance are designed for transaction-oriented systems and do not satisfy the unique requirements for systems processing high-volume, …

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Making The ‘Most’ Out Of Rfid Technology: A Research Agenda For The Study Of The Adoption, Use And Impact Of Rfid, John Curtin, Robert J. Kauffman, Frederick J. Riggins Jun 2007

Making The ‘Most’ Out Of Rfid Technology: A Research Agenda For The Study Of The Adoption, Use And Impact Of Rfid, John Curtin, Robert J. Kauffman, Frederick J. Riggins

Research Collection School Of Computing and Information Systems

Radio frequency identification (RFID) technology dramatically increases the ability of the organization to acquire a vast array of data about the location and properties of any entity that can be physically tagged and wirelessly scanned within certain technical limitations. RFID can be applied to a variety of tasks, structures, work systems and contexts along the value chain, including business-to-business logistics, internal operations, business-to-consumer marketing, and after-sales service applications. As industry adoption of RFID increases there is an emerging interest by academic researchers to engage in scholarly investigation to understand how RFID relates to mobility, organizational and systems technologies (MOST). In …

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Teaching "Global Project Management" With Distributed Team Projects, Randy Weinberg, Benjamin Gan Jun 2007

Teaching "Global Project Management" With Distributed Team Projects, Randy Weinberg, Benjamin Gan

Research Collection School Of Computing and Information Systems

The education of rising professionals must keep pace with changing forces of globalization and the realities of distributed work. Students who understand the basics of global project management, teamwork and collaboration are likely to find themselves at a competitive advantage over those who do not. This article describes the experiences in an undergraduate course called Global Project Management offered concurrently at two universities, one in the U.S. and one in Singapore, and incorporating collaborative student projects.

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Learning Nonparametric Kernel Matrices From Pairwise Constraints, Steven C. H. Hoi, Rong Jin, Michael R. Lyu Jun 2007

Learning Nonparametric Kernel Matrices From Pairwise Constraints, Steven C. H. Hoi, Rong Jin, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Some kernel learning methods assume the target kernel matrix to be a linear combination of parametric kernel matrices. This assumption again importantly limits the flexibility of the target kernel matrices. The key challenge with nonparametric kernel learning arises from the difficulty in linking the nonparametric kernels to the input patterns. In this paper, we resolve this problem by introducing the graph Laplacian of the observed data as a regularizer when optimizing the kernel matrix with …

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Altering Document Term Vectors For Classification - Ontologies As Expectations Of Co-Occurrence, Meenakshi Nagarajan, Amit P. Sheth, Marcos Aguilera, Kimberly Keeton, Arif Merchant, Mustafa Uysal May 2007

Altering Document Term Vectors For Classification - Ontologies As Expectations Of Co-Occurrence, Meenakshi Nagarajan, Amit P. Sheth, Marcos Aguilera, Kimberly Keeton, Arif Merchant, Mustafa Uysal

Kno.e.sis Publications

In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in Ontologies. Preliminary evaluations indicate that the new approach generally improves precision and recall, more so for hard to classify cases and reveals patterns indicating the usefulness of such background knowledge.

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Network Performance Monitor And Electronic Mail/Smtp Gateway For The Regis Academic Research Network, Steven F. Martin May 2007

Network Performance Monitor And Electronic Mail/Smtp Gateway For The Regis Academic Research Network, Steven F. Martin

Regis University Student Publications (comprehensive collection)

The Academic Research Network (ARN) is in need of a means of monitoring servers and other nodes on the network. That need is driven by the requirement to remotely monitor and support the sprawling network resources between campuses, provide real-time network status reports, and immediate reports of downed nodes. An additional need is electronic mail (e-mail) to serve the practicum students and administrators, but primarily to provide a mail gateway through which Internet mail can be transported in order to provide the aforementioned alerts.

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Sees - An Adaptive Multimodal User Interface For The Visually Impaired, Aparajit Saigal May 2007

Sees - An Adaptive Multimodal User Interface For The Visually Impaired, Aparajit Saigal

Computer Science and Engineering Theses - Archive

The enormous amount of electronic data present today can be a daunting task to access and process for a regular person, let alone someone with a disability. The World Wide Web and Electronic Mail have transformed the way we live. We are constantly become more dependent on this information, communication and commerce medium. The Speech Enabled Email System (SEES) is an alternate user interface that allows for the retrieval of emails and RSS feeds using speech. SEES can be accessed via a desktop application or through a telephony interface such as a regular phone-line or Voice over IP. This thesis …

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Automatic Content Analysis Of Endoscopy Video (Endoscopic Multimedia Information System), Sae K. Hwang May 2007

Automatic Content Analysis Of Endoscopy Video (Endoscopic Multimedia Information System), Sae K. Hwang

Computer Science and Engineering Dissertations - Archive

Advances in video technology are being incorporated into today's healthcare practice. For example, various types of endoscopes are used for colonoscopy, upper gastrointestinal endoscopy, enteroscopy, bronchoscopy, cystoscopy, laparoscopy, and some minimal invasive surgeries (i.e., video endoscopic neurosurgery). These endoscopes come in various sizes, but all have a tiny video camera at the tip of the endoscopes. During an endoscopic procedure, the tiny video camera generates a video signal of the interior of the human organ, for example, the internal mucosa of the colon. The video data are displayed on a monitor for real-time analysis by the physician. Diagnosis, biopsy and …

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Information Theoretic, Probabilistic And Maximum Partial Substructure Algorithms For Discovering Graph-Based Anomalies, William Fred Eberle May 2007

Information Theoretic, Probabilistic And Maximum Partial Substructure Algorithms For Discovering Graph-Based Anomalies, William Fred Eberle

Computer Science and Engineering Dissertations - Archive

The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly detection, particularly for fraud. However, less work has been done in terms of detecting anomalies in graph-based data. While there has been some previous work that has used statistical metrics and conditional entropy measurements, the results have been limited to certain types of anomalies and specific domains. In this work we present graph-based approaches to uncovering anomalies in domains where the anomalies consist of unexpected entity/relationship alterations that closely resemble non-anomalous behavior. …

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Flash Crowd Mitigation System, Dongchul Kim May 2007

Flash Crowd Mitigation System, Dongchul Kim

Computer Science and Engineering Theses - Archive

Flash crowd means that a web server suffers a sudden surge of traffic since a large number of Internet users access the web server simultaneously. Once a flash crowd occurs in a web server, the response rate for the HTTP requests decreases rapidly, or the web server may even crash. To protect the web server from such flash crowds, in this paper, we propose the Flash Crowd Mitigation System (FCMS) which is based on the cooperation of the web servers and the redirection of the HTTP request. In FCMS, when a flash crowd is predicted by the traffic monitoring module …

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Wildcat: An Integrated Stealth Environment For Dynamic Malware Analysis, Amit Vasudevan May 2007

Wildcat: An Integrated Stealth Environment For Dynamic Malware Analysis, Amit Vasudevan

Computer Science and Engineering Dissertations - Archive

Malware -- a term that refers to viruses, trojans, worms, spyware or any form of malicious code -- is widespread today. Given the devastating effects that malware have on the computing world, detecting and countering malware is an important goal. Malware analysis is a challenging and multi-step process providing insight into malware structure and functionality, facilitating the development of an antidote. To successfully detect and counter malware, malware analysts must be able to analyze them in binary, in both a coarse- (behavioral) and fine-grained (structural) fashion. However, current research in coarse- and fine-grained code analysis (categorized into static and dynamic) …

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Heros: A Patient-Centered Goal-Directed Electronic Medical Record System For The Homeless, Kallol Silas Mahata May 2007

Heros: A Patient-Centered Goal-Directed Electronic Medical Record System For The Homeless, Kallol Silas Mahata

Computer Science and Engineering Theses - Archive

Homelessness is a growing problem in the United States. Numerous barriers keep the street homeless from obtaining healthcare. Medical Street Outreach (MSO) programs are designed to reach out to the homeless. Gathering relevant clinical information on the streets is difficult, and carrying paper records in MSO is cumbersome and inefficient. Several complex healthcare record systems have been developed for hospitals, but no such system exists for collecting health data on the streets. In this thesis, we describe a light weight Electronic Medical Record (EMR), called HEROS (Homeless Electronic RecOrd System) that we have built to address the process of healthcare …

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Medical Decision Support System Using Augmentable Guideline Engine, Adetayo Afolabi Aiyedun May 2007

Medical Decision Support System Using Augmentable Guideline Engine, Adetayo Afolabi Aiyedun

Computer Science and Engineering Theses - Archive

Increasing life expectancy accompanied by existing growth of wireless infrastructure and ubiquitous computing technologies has given healthcare providers access to vital information within their healthcare networks. Medical decision support systems (MDSS) play an increasingly important role in medical practice by assisting physicians with making clinical decisions. MDSS are interactive computer programs, which are designed to assist physicians and other health professionals with decision making. Currently, the strategies for providing MDSS has failed, in part, because they have not provided a secure, timely access to information that is current, ability to modify their knowledge base without hard coding them in their …

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Efficient Multi-View Video Coding Scheme Based On Dynamic Video Object Segmentation, Xiaohui Wei May 2007

Efficient Multi-View Video Coding Scheme Based On Dynamic Video Object Segmentation, Xiaohui Wei

Computer Science and Engineering Dissertations - Archive

Multi-view video, which simultaneously acquires multiple video sequences from multiple viewpoints or view directions, is poised to become the next generation video technology. Exploiting redundancy is the hallmark of traditional video coding but is even more essential in multi-view video coding (MVC) where the data size is extremely large. The exploitation of additional redundancies, however, incurs extra computational overhead, thereby counteracting the benefits gained from coding efficiency. This dissertation proposes an efficient MVC scheme that provides a complete encoding solution with low complexity. This includes exploitation of inter- and intra-view redundancies for achieving high coding efficiency, and exploitation of inter-view …

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Efficient Visualization Of Streaming Sensor Network Data Using Approximation Technique, Sunil Pai May 2007

Efficient Visualization Of Streaming Sensor Network Data Using Approximation Technique, Sunil Pai

Computer Science and Engineering Theses - Archive

By commanding a large number of wireless sensor nodes capable of sensing, communicating, and computing, wireless sensor networks have revealed their vast potential in a plethora of applications. However, due to the stringent resources limitations on each sensor node ranging from energy and computation to network bandwidth and storage, efficient and light weight systems must be designed in order to accommodate the resource limited environment. Furthermore, due to the potentially large number of sensor nodes deployed, the amount of sensory data gathered therein can be overwhelming for processing and visualizing in a resource limited central controller, such as mobile devices. …

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Hiearchical Overlay For Service Composition In Pervasive Environments, Aparna Kailas May 2007

Hiearchical Overlay For Service Composition In Pervasive Environments, Aparna Kailas

Computer Science and Engineering Theses - Archive

The objective of pervasive computing is to allow users to perform their tasks in a transparent way regardless of device features. Resources on devices should be exploited to provide services in order to perform user tasks. When there is no exact match for the user task in the environment, the capabilities of available devices should be combined to perform the user task. Seamless Service Composition (SeSCo) abstracts device capabilities as services and leverages existing work on graph algorithms to perform service composition. A lightweight framework, PerSON (Service Overlay Network for Pervasive Environments) was developed to provide a service overlay network …

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A Dynamic Framework For Testing The Synchronization Behavior Of Java Monitors, Andres Yanes May 2007

A Dynamic Framework For Testing The Synchronization Behavior Of Java Monitors, Andres Yanes

Computer Science and Engineering Theses - Archive

A Java monitor is a specialized class that is used to synchronize the behavior of threads in a Java program. The monitors in a Java program must be adequately tested to ensure the correctness of the program. In this thesis we propose a dynamic framework in which a Java monitor is tested by exploring its state space in a depth-first manner. The state exploration procedure consists of dynamically creating method sequences to exercise the possible synchronization behavior of the monitor. During exploration, new threads will be created on the fly to simulate different scenarios that result from threads reaching the …

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To Repair Or Not To Repair: Helping Ad Hoc Routing Protocols To Distinguish Mobility From Congestion, Qiuyi Duan, Roger Pack, Manoj Pandey, Lei Wang, Daniel Zappala May 2007

To Repair Or Not To Repair: Helping Ad Hoc Routing Protocols To Distinguish Mobility From Congestion, Qiuyi Duan, Roger Pack, Manoj Pandey, Lei Wang, Daniel Zappala

Faculty Publications

In this paper we consider the problem of distinguishing whether frame loss at the MAC layer has occurred due to mobility or congestion. Most ad hoc routing protocols make the faulty assumption that all frame loss means the destination node has moved, resulting in significant overhead as they initiate the repair of routes that have not been broken. We design a mobility detection algorithm, MDA, that properly detects the cause of a lost frame, then coordinates with the routing protocol so that it reacts properly. This approach dramatically reduces routing protocol overhead and significantly increases application throughput. We use a …

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Probabilistic Searching Using A Small Unmanned Aerial Vehicle, Steven R. Hansen, Timothy W. Mclain, Michael A. Goodrich May 2007

Probabilistic Searching Using A Small Unmanned Aerial Vehicle, Steven R. Hansen, Timothy W. Mclain, Michael A. Goodrich

Faculty Publications

Ground breaking concepts in optimal search theory were developed during World War II by the U.S. Navy. These concepts use an assumed detection model to calculate a detection probability rate and an optimal search allocation. Although this theory is useful in determining when and where search effort should be applied, it offers little guidance for the planning of search paths. This paper explains how search theory can be applied to path planning for an SUAV with a fixed CCD camera. Three search strategies are developed: greedy search, contour search, and composite search. In addition, the concepts of search efficiency and …

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