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A Cost-Effective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications
This paper from the 9th International Conference on Future Networks and Communications, FNC 2014 conference proceedings presents a low-cost indoor air quality monitoring wireless sensor network system developed using Arduino, XBee modules, and micro gas sensors.
Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation
In this paper, the authors discuss research on whether they can use Mechanical Turk (MTurk) to acquire good annotations with respect to gold-standard data, whether they can filter out low-quality workers (spammers), and whether there is a learning effect associated with repeatedly completing the same kind of task.
Subjectivity Word Sense Disambiguation
This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses.
Subscriber Maximization in CDMA Cellular Networks
This paper discusses subscriber maximization in CDMA cellular networks.
Dynamic Channel Assignment in IEEE 802.11 Networks
This paper discusses dynamic channel assignment in IEEE 802.11 networks.
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.
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.
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.
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.
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.
Global versus Local Call Admission Control in CDMA Cellular Networks
This paper discusses global versus local call admission control.
Impact of Interference Model on Capacity in CDMA Cellular Networks
This paper discusses an impact of interference model on capacity in CDMA cellular networks.
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.
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.
Non-Uniform Grid-Based Routing in Sensor Networks
This paper discusses non-uniform grid-based routing in sensor networks.
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.
Anchor Nodes Placement for Effective Passive Localization
This paper discusses anchor nodes placement for effective passive localization. The authors show that, for effective passive localization, the optimal placement of the anchor nodes is at the center of the network in such a way that no three anchor nodes share linearity.
Indoor Propagation Modeling at 2.4 GHZ for IEEE 802.11 Networks
This paper discusses indoor propagation modeling.
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.
Parity Assisted Decision Making for QAM Modulation
This paper discusses parity assisted decision making for QAM modulation.
Dynamic Agent Population in Agent-Based Distance Vector Routing
This paper discusses dynamic agent population in agent-based distance vector routing.
Enhancing the Undergraduate Research Experience in a Senior Design Context
This paper discusses enhancing the undergraduate research experience in a senior design context.
Building Multilingual Semantic Networks with Non-Expert Contributions over the Web
This paper discusses building multilingual semantic networks.
Multilingual Subjectivity: Are More Languages Better?
This paper discusses multilingual subjectivity.
Multilingual Subjectivity Analysis Using Machine Translation
This paper discusses multilingual subjectivity analysis using machine translation.
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.
Transformational Paradigm for Engineering and Engineering Technology Education
This paper discusses a transformational paradigm for engineering and engineering technology education at the baccalaureate level.
Thread Specific Features Are Helpful For Identifying Subjectivity Orientation of Online Forum Threads
Paper discussing thread specific features for identifying subjectivity orientation of online forum threads.
Identifying Emotional and Informational Support in Online Health Communities
This paper analyses user messages on an online cancer support community, Cancer Survivors Network (CSN), to identify the two types of social support present: emotional support and informational support.
Co-training over Domain-independent and Domain-dependent Features for Sentiment Analysis of an Online Cancer Support Community
Paper on co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community.
Automatic Generation and Scoring of Positive Interpretations from Negated Statements
This paper presents a methodology to extract positive interpretations from negated statements.
PicNet: Augmenting Semantic Resources with Pictorial Representations
In this paper, the authors introduce PicNet, a Web-based system for augmenting semantic resources with illustrative images using volunteer contributions over the Web.
Co-Training for Topic Classification of Scholarly Data
This paper describes a co-training approach that uses the text and citation information of a research article as two different views to predict the topic of an article.
Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach
This paper proposes a supervised model for keyphrase extraction from research papers, which are embedded in citation networks.
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces
Article on combining hashing and abstraction in sparse high dimensional feature spaces.
Abstraction Augmented Markov Models
Article discussing the abstraction augmented Markov models.
Classifying Scientific Publications Using Abstract Features
Article discussing classifying scientific publications using abstract features.
The Decomposition of Human-Written Book Summaries
In this paper, the authors evaluate the extent to which human-written book summaries can be obtained through cut-and-paste operations from the original book. The authors analyze the effect of the parameters involved in the decomposition algorithm, and highlight the distinctions in coverage obtained for different summary types.
Explorations in Automatic Book Summarization
This paper discusses explorations in automatic book summarization.
Quantifying the Limits and Success of Extractive Summarization Systems Across Domains
This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and legal documents.
Performance Enhancement by Eliminating Redundant Function Execution
This paper discusses performance enhancement by eliminating redundant function execution.
Building a Sense Tagged Corpus with Open Mind Word Expert
This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web.
Exploiting Agreement and Disagreement of Human Annotators for Word Sense Disambiguation
This paper discusses word sense disambiguation.
The SENSEVAL-3 Multilingual English-Hindi Lexical Sample Task
This paper describes the English-Hindi Multilingual lexical sample task in SENSEVAL-3.
Measuring the Semantic Similarity of Texts
This paper discusses measuring the semantic similarity of texts.
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.
Automatic Keyword Extraction for Learning Object Repositories
This article discusses automatic keyword extraction for learning object repositories.
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.
Creating a Testbed for the Evaluation of Automatically Generated Back-of-the-book Indexes
This paper discusses automatic generating of back-of-the-book indexes.
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