UNT College of Engineering - 171 Matching Results
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- Channel Assignment in an IEEE 802.11 WLAN Based on Signal-to-Interference Ratio
- This article discusses channel assignment in an IEEE 802.11 WLAN based on signal-to-interference ratio.
- Optimal Access Point Selection and Traffic Allocation in IEEE 802.11 Networks
- This paper discusses optimal access point selection and the traffic allocation in IEEE 802.11 networks.
- Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control
- This paper discusses capacity allocation in multi-cell UMTS networks.
- Indoor Propagation Modeling at 2.4 GHZ for IEEE 802.11 Networks
- This paper discusses indoor propagation modeling.
- Intra-Class Competitive Assignments in CS2: A One-Year Study
- This paper discusses intra-class competitive assignments in CS2.
- Performance Enhancement by Eliminating Redundant Function Execution
- This paper discusses performance enhancement by eliminating redundant function execution.
- Simulation of Throughput in UMTS Networks with Different Spreading Factors
- In this paper, the authors design and implement a local session admission control (SAC) algorithm for third-generation wireless networks which allows for the simulation of network throughput for different spreading factors and various mobility scenarios.
- Non-Uniform Grid-Based Routing in Sensor Networks
- This paper discusses non-uniform grid-based routing in sensor networks.
- Enhanced Channel Assignment and Load Distribution in IEEE 802.11 WLANs
- This paper discusses enhanced channel assignment and load distribution in IEEE 802.11 WLANs.
- Dynamic Channel Assignment in IEEE 802.11 Networks
- This paper discusses dynamic channel assignment in IEEE 802.11 networks.
- Parity Assisted Decision Making for QAM Modulation
- This paper discusses parity assisted decision making for QAM modulation.
- Throughput Optimization in Multi-Cell CDMA Networks
- In this paper, the authors investigate the performance of a multi-cell CDMA network by determining the maximum throughput that the network can archive for a given grade-of-service requirement, quality-of-service requirement, network topology and call arrival rate profile.
- Classification of Attributes and Behavior in Risk Management Using Bayesian Networks
- This paper discusses issues in security.
- Optimal Load Distribution in Large Scale WLAN Networks Utilizing a Power Management Algorithm
- This article discusses optimal load distribution in large scale WLAN networks utilizing a power management algorithm.
- Retention and Recruitment of Women in Computer Engineering
- This paper describes the efforts and results of a plan for actively recruiting women students to undergraduate computer engineering programs at the University of North Texas (UNT). It also describes a series of activities aimed at improving retention rates of women students already in our programs. Such recruitment and retention of women is critical to the country's efforts to increase the number of engineering professionals, and is a priority for the Computer Science and Engineering (CSE) Department at UNT.
- Throughput Validation of an Advanced Channel Assignment Algorithm in IEEE 802.11 WLAN
- In this article, an enhanced channel-assignment algorithm at the Access Points (APs) of a Wireless Local Area Network (WLAN) is validated.
- Subscriber Maximization in CDMA Cellular Networks
- This paper discusses subscriber maximization in CDMA cellular networks.
- Approximating User Distributions in WCDMA Networks Using 2-D Gaussian
- This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian.
- Global versus Local Call Admission Control in CDMA Cellular Networks
- This paper discusses global versus local call admission control.
- Hybrid Energy-Aware Synchronization Algorithm in Wireless Sensor Networks
- This paper discusses a time synchronization scheme for wireless sensor networks that aims to conserve sensor battery power while maintaining network connectivity for as long as possible.
- An Efficient Non-Preemptive Real-Time Scheduling
- This paper discusses non-preemptive, real-time scheduling.
- Channel Assignment and Load Distribution in a Power-Managed WLAN
- This paper discusses a proposed algorithm.
- Impact of Interference Model on Capacity in CDMA Cellular Networks
- This paper discusses an impact of interference model on capacity in CDMA cellular networks.
- Grid-based Coordinated Routing in Wireless Sensor Networks
- This paper discusses grid-based coordinated routing in wireless sensor networks and compares the energy available in the network over time for different grid sizes. The authors explore the quality of service of wireless sensor networks, how the coordinator nodes are elected, and the size of the grid area that will minimize the total energy consumption and extend the lifetime of the network.
- Robocamp: Encouraging Young Women to Embrace STEM
- This paper describes the efforts and results of a plan for actively recruiting students to undergraduate computer science and engineering programs at the University of North Texas (UNT). Such recruitment of students is critical to the country's efforts to increase the number of engineering professionals, and is a priority for the Computer Science and Engineering (CSE) Department at UNT.
- Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results
- This paper discusses efforts to attract and retain students in computer science and engineering fields.
- Instance Based Learning with Automatic Feature Selection Applied to Word Sense Disambiguation
- This paper discusses instance based learning with automatic feature selection applied to word sense disambiguation.
- Letter Level Learning for Language Independent Diacritics Restoration
- This paper discusses letter level learning for language independent diacritics restoration.
- Building Multilingual Semantic Networks with Non-Expert Contributions over the Web
- This paper discusses building multilingual semantic networks.
- NLP (Natural Language Processing) for NLP (Natural Language Programming)
- This paper discusses Natural Language Processing (NLP).
- Investigations in Unsupervised Back-of-the-Book Indexing
- This paper discusses investigations in unsupervised back-of-the-book indexing.
- The Multidisciplinary Facets of Research on Humour
- In this paper, the authors summarize the main theories of humor that emerged from philosophical and modern psychological research, and survey the past and present developments in the fields of theoretical and computational linguistics.
- A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources
- This article discusses a bootstrapping method for building subjectivity lexicons for languages with scarce resources.
- BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
- This paper discusses BABYLON parallel text builder.
- Learning to Identify Emotions in Text
- This paper discusses learning to identify emotions in text.
- An Algorithm for Open Text Semantic Parsing
- This paper describes an algorithm for open text shallow semantic parsing.
- Making Sense Out of the Web
- This paper discusses the main lines of research in deriving efficient Word Sense Disambiguation.
- Putting Pieces Together: Combining FrameNet, VerbNet and WordNet for Robust Semantic Parsing
- This paper describes the authors' work in integrating three different lexical resources: FrameNet, VerbNet, and WordNet, into a unified, richer knowledge-base, to the end of enabling more robust semantic parsing.
- Text Semantic Similarity, with Applications
- In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.
- Topic Identification Using Wikipedia Graph Centrality
- This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from Wikipedia. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge.
- Using Encyclopedic Knowledge for Automatic Topic Identification
- This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotations.
- Open Text Semantic Parsing Using FrameNet and WordNet
- This article discusses open text semantic parsing using FrameNet and WordNet.
- Using Wikipedia for Automatic Word Sense Disambiguation
- This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.
- Unsupervised Graph-based Word Sense Disambiguation Using Measures of Word Semantic Similarity
- This paper describes an unsupervised graph-based method for word sense disambiguation, and presents comparative evaluations using several measures of word semantic similarity and several algorithms for graph centrality. The results indicate that the right combination of similarity metrics and graph centrality algorithms can lead to a performance competing with the state-of-the-art in unsupervised word sense disambiguation, as measured on standard data sets.
- Random-Walk Term Weighting for Improved Text Classification
- This paper describes a new approach for estimating term weights in a document, and shows how the new weighting scheme can be used to improve the accuracy of a text classifier.
- A Language Independent Algorithm for Single and Multiple Document Summarization
- This paper discusses a language independent algorithm for single and multiple document summarization.
- Of Men, Women, and Computers: Data-Driven Gender Modeling for Improved User Interfaces
- This paper discusses data-driven gender modeling for improved user interfaces.
- Multilingual Subjectivity: Are More Languages Better?
- This paper discusses multilingual subjectivity.
- Combining Lexical Resources for Contextual Synonym Expansion
- This paper discusses combining lexical resources for contextual synonym expansion.
- Linking Educational Materials to Encyclopedic Knowledge
- This paper discusses linking educational materials to encyclopedic knowledge.