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  Partner: UNT College of Engineering
 Decade: 2000-2009
 Year: 2006
 Collection: UNT Scholarly Works
Architecture Support for 3D Obfuscation

Architecture Support for 3D Obfuscation

Date: May 2006
Creator: Gomathisankaran, Mahadevan & Tyagi, Akhilesh
Description: This article discusses architecture support for 3D obfuscation. Abstract: Software obfuscation is defined as a transformation of a program P into T(P) such that the whitebox and blackbox behaviors of T(P) are computationally indistinguishable. However, robust obfuscation is impossible to achieve with the existing software only solutions. This results from the power of the adversary model in DRM which is significantly more than in the traditional security scenarios. The adversary has complete control of the computing node - supervisory privileges along with the full physical as well as architectural object observational capabilities. In essence, this makes the operating system (or any other layer around the architecture) untrustworthy. Thus the trust has to be provided by the underlying architecture. In this paper, the authors develop an architecture to support 3-D obfuscation through the use of well known cryptographic methods. The three dimensional obfuscation hides the address sequencing, the contents associated with an address, and the temporal reuse of address sequences such as in loops (or the second order address sequencing). The software is kept as an obfuscated file system image statically. Moreover, its execution traces are also dynamically obfuscated along all the three dimensions of address sequencing, contents and second order ...
Contributing Partner: UNT College of Engineering
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control

Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control

Date: January 2006
Creator: Akl, Robert G. & Nguyen, Son
Description: This presentation discusses user and interference models, wideband code division multiple access (WCDMA) capacity with perfect and imperfect power control, and spreading factors with numerical results.
Contributing Partner: UNT College of Engineering
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control

Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control

Date: January 2006
Creator: Akl, Robert G. & Nguyen, Son
Description: This paper discusses capacity allocation in multi-cell UMTS networks. Abstract: An analytical model for calculating capacity in multi-cell UMTS networks is presented. Capacity is maximized for different spreading factors and for perfect and imperfect power control. An analytical model is presented for approximating the user distributions in multi-cell third generation WCDMA networks using 2-dimensional Gaussian distributions by determining the means and the standard deviations of the distribution for every cell. This allows for the calculation of the inter-cell interference and the reverse-link capacity of the network. The capacity was determined for signal-to-interference threshold from 5 dB to 10 dB and spreading factor values of 256, 64, 16, and 4.
Contributing Partner: UNT College of Engineering
Corpus-based and Knowledge-based Measures of Text Semantic Similarity

Corpus-based and Knowledge-based Measures of Text Semantic Similarity

Date: July 2006
Creator: Mihalcea, Rada, 1974-; Corley, Courtney & Strapparava, Carlo, 1962-
Description: Abstract: This paper presents a method for measuring the semantic similarity of texts, using corpus-based and knowledge-based measures of similarity. Previous work on this problem has focused mainly on either large documents (e.g. text classification, information retrieval) or individual words (e.g. synonymy tests). Given that a large fraction of the information available today, on the Web and elsewhere, consists of short text snippets (e.g. abstracts of scientific documents, image captions, product descriptions), in this paper the authors focus on measuring the semantic similarity of short texts. Through experiments performed on a paraphrase data set, the authors show that the semantic similarity method out-performs methods based on simple lexical matching, resulting in up to 13% error rate reduction with respect to the traditional vector-based similarity metric.
Contributing Partner: UNT College of Engineering
A Corpus-based Approach to Finding Happiness

A Corpus-based Approach to Finding Happiness

Date: March 2006
Creator: Liu, Hugo & Mihalcea, Rada, 1974-
Description: This paper discusses how to locate emotions. Abstract: What are the sources of happiness and sadness in everyday life? In this paper, the authors employ 'linguistic ethnography' to seek out where happiness lies in our everyday lives by considering a corpus of blogposts from the LiveJournal community annotated with happy and sad moods. By analyzing this corpus, the authors derive lists of happy and sad words and phrases annotated by their 'happiness factor'. Various semantic analyses performed with this wordlist reveal the happiness trajectory of a 24-day (3am and 9-10p are most happy), and a 7-day week (Wednesdays are saddest), and compare the socialness and human-centeredness of happy descriptions versus sad descriptions. The authors evaluate our corpus-based approach in a classification task and contrast our wordlist with emotionally-annotated wordlists produced by experimental focus groups. Having located happiness temporally and semantically within this corpus of everyday life, the paper concludes by offering a corpus-inspired livable recipe for happiness.
Contributing Partner: UNT College of Engineering
Creating a Testbed for the Evaluation of Automatically Generated Back-of-the-book Indexes

Creating a Testbed for the Evaluation of Automatically Generated Back-of-the-book Indexes

Date: February 2006
Creator: Csomai, Andras & Mihalcea, Rada, 1974-
Description: This paper discusses automatic generating of back-of-the-book indexes. Abstract: The automatic generation of back-of-the-book indexes seems to be out of sight of the Information Retrieval and Natural Language Processing communities, although the increasingly large number of books available in electronic format, as well as recent advances in key-phrase extraction, should motivate an increased interest in this topic. In this paper, the authors describe the background relevant to the process of creating back-of-the-book indexes, namely (1) a short overview of the origin and structure of back-of-the-book indexes, and (2) the correspondence that can be established between techniques for automatic index construction and keyphrase extraction. Since the development of any automatic system requires in the first place an evaluation testbed, the authors describe their work in building a gold standard collection of books and indexes, and the authors present several metrics that can be used for the evaluation of automatically generated indexes against the gold standard. Finally, the authors investigate the properties of the gold standard index, such as index size, length of index entries, and upper bounds on coverage as indicated by the presence of index entries in the document.
Contributing Partner: UNT College of Engineering
Indoor Propagation Modeling at 2.4 GHZ for IEEE 802.11 Networks

Indoor Propagation Modeling at 2.4 GHZ for IEEE 802.11 Networks

Date: April 2006
Creator: Akl, Robert G.; Tummala, Dinesh & Li, Xinrong
Description: This paper discusses indoor propagation modeling. Abstract: The purpose of this study is to characterize the indoor channel for 802.11 wireless local area networks at 2.4 GHz frequency. This work presents a channel model based on measurements conducted in commonly found scenarios in buildings. These scenarios include closed corridor, open corridor, classroom, and computer lab. Path loss equations are determined using log-distance path loss model and log-normal shadowing. The Chi-square test statistic values for each access point are calculated to prove that the observed fading is a normal distribution at 5% significance level. A numerical analysis of measurements in each scenario was conducted and the study determined equations that describe path loss for each scenario.
Contributing Partner: UNT College of Engineering
Intra-Class Competitive Assignments in CS2: A One-Year Study

Intra-Class Competitive Assignments in CS2: A One-Year Study

Date: July 2006
Creator: Garlick, Ryan & Akl, Robert G.
Description: This paper discusses intra-class competitive assignments in CS2. Abstract: The widespread goals of student retention, introducing larger programming projects, and fostering collaboration among students in computer science courses has led to the inclusion of group projects in many curricula, with task division and collaboration as motivation for students to complete assignments. This paper presents a study in a first-year programming assignment with similar goals, but with methods adopting the contrarian view - having students directly compete with one another in a tournament of their respective software agents. This paper presents the results of a year-long experiment in an intra-class competitive assignment in the second C++ programming course at the University of North Texas in Denton. Metrics of student performance on the assignment, correlation with course grade, student surveys of the project, and retention statistics are presented. Results demonstrating overwhelmingly positive response and high levels of effort among students are submitted, along with remarks on application to student recruiting, retention, and curriculum design.
Contributing Partner: UNT College of Engineering
NLP (Natural Language Processing) for NLP (Natural Language Programming)

NLP (Natural Language Processing) for NLP (Natural Language Programming)

Date: February 2006
Creator: Mihalcea, Rada; Liu, Hugo & Lieberman, Henry
Description: This paper discusses Natural Language Processing (NLP). NLP holds great promise for making computer interfaces that are easier to use for people, since people will (hopefully) be able to talk to the computer in their own language, rather than learn a specialized language of computer commands. For programming, however, the necessity of a formal programming language for communicating with a computer has always been taken for granted. The authors would like to challenge this assumption. The authors believe that modern Natural Language Processing techniques can make possible the use of natural language to (at least partially) express programming ideas, thus drastically increasing the accessibility of programming to non-expert users. To demonstrate the feasibility of Natural Language Programming, this paper tackles what are perceived to be some of the hardest cases: steps and loops. The authors look at a corpus of English descriptions used as programming assignments, and develop some techniques for mapping linguistic constructs onto program structures, which we refer to as programmatic semantics.
Contributing Partner: UNT College of Engineering
A Non-Preemptive Scheduling Algorithm for Soft Real-Time Systems

A Non-Preemptive Scheduling Algorithm for Soft Real-Time Systems

Date: April 10, 2006
Creator: Li, Wenming; Kavi, Krishna & Akl, Robert G.
Description: This article discusses a non-preemptive scheduling algorithm for soft real-time systems. Real-time systems are often designed using preemptive scheduling and worst-case execution time estimates to guarantee the execution of high priority tasks. There is, however, an interest in exploring non-preemptive scheduling models for real-time systems, particularly for soft real-time multimedia applications. In this paper, the authors propose a new algorithm that uses multiple scheduling strategies for efficient non-preemptive scheduling of tasks. The goal is to improve the success ratio of the well-known Earliest Deadline First (EDF) approach when the load on the system is very high and to improve the overall performance in both underloaded and overloaded conditions. The authors' approach, known as group EDF (gEDF) is based on dynamic grouping of tasks with deadlines that are very close to each other, and using Shortest Job First (SJF) technique to schedule tasks within the group. The authors present results comparing gEDF with other real-time algorithms including EDF, Best-effort, and Guarantee, by using randomly generated tasks with varying execution times, release times, deadlines and tolerance to missing deadlines, under varying workloads. The authors believe that grouping tasks dynamically with similar deadlines and utilizing a secondary criteria, such as minimizing the total ...
Contributing Partner: UNT College of Engineering
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