Temporal Data Mining Of Uncertain Water Reservoir Data,
2012
University of Nebraska-Lincoln
Temporal Data Mining Of Uncertain Water Reservoir Data, Abhinaya Mohan, Peter Revesz
School of Computing: Conference and Workshop Papers
This paper describes the challenges of data mining uncertain water reservoir data based on past human operations in order to learn from them reservoir policies that can be automated for the future operation of the water reservoirs. Records of human operations of water reservoirs often contain uncertain data. For example, the recorded amounts of water released and retained in the water reservoirs are typically uncertain, i.e., they are bounded by some minimum and maximum values. Moreover, the time of release is also uncertain, i.e., typically only monthly or weekly amounts are recorded. To increase the effectiveness of data mining of …
Fashionask: Pushing Community Answers To Your Fingertips,
2012
Singapore Management University
Fashionask: Pushing Community Answers To Your Fingertips, Wei Zhang, Lei Pang, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
We demonstrate a multimedia-based question-answering system, named FashionAsk, by allowing users to ask questions referring to pictures snapped by mobile devices. Specifically, instead of asking verbose questions to depict visual instances, direct pictures are provided as part of questions. To answer these multi-modal questions, FashionAsk performs a large-scale instance search to infer the names of instances, and then matches with similar questions from communitycontributed QA websites as answers. The demonstration is conducted on a million-scale dataset of Web images and QA pairs in the domain of fashion products. Asking a multimedia question through FashionAsk can take as short as five …
Predicting Domain Adaptivity: Redo Or Recycle?,
2012
Singapore Management University
Predicting Domain Adaptivity: Redo Or Recycle?, Ting Yao, Chong-Wah Ngo, Shiai Zhu
Research Collection School Of Computing and Information Systems
Over the years, the academic researchers have contributed various visual concept classifiers. Nevertheless, given a new dataset, most researchers still prefer to develop large number of classifiers from scratch despite expensive labeling efforts and limited computing resources. A valid question is why not multimedia community “embrace the green” and recycle off-the-shelf classifiers for new dataset. The difficulty originates from the domain gap that there are many different factors that govern the development of a classifier and eventually drive its performance to emphasize certain aspects of dataset. Reapplying a classifier to an unseen dataset may end up GIGO (garbage in, garbage …
Stress Monitoring Of Post-Processed Mems Silicon Microbridge Structures Using Raman Spectroscopy,
2012
Air Force Institute of Technology
Stress Monitoring Of Post-Processed Mems Silicon Microbridge Structures Using Raman Spectroscopy, Lavern A. Starman, Ronald A. Coutu Jr.
Electrical and Computer Engineering Faculty Research and Publications
Inherent residual stresses during material deposition can have profound effects on the functionality and reliability of fabricated Micro-Electro-Mechanical Systems (MEMS) devices. Residual stress often causes device failure due to curling, buckling, or fracture. Typically, the material properties of thin films used in surface micromachining are not well controlled during deposition. The residual stress; for example, tends to vary significantly for different deposition methods. Currently, few nondestructive techniques are available to measure residual stress in MEMS devices prior to the final release etch. In this research, micro-Raman spectroscopy is used to measure the residual stresses in polysilicon MEMS microbridge devices. This …
Community As A Connector: Associating Faces With Celebrity Names In Web Videos,
2012
Singapore Management University
Community As A Connector: Associating Faces With Celebrity Names In Web Videos, Zhineng Chen, Chong-Wah Ngo, Juan Cao, Wei Zhang
Research Collection School Of Computing and Information Systems
Associating celebrity faces appearing in videos with their names is of increasingly importance with the popularity of both celebrity videos and related queries. However, the problem is not yet seriously studied in Web video domain. This paper proposes a Community connected Celebrity Name-Face Association approach (CCNFA), where the community is regarded as an intermediate connector to facilitate the association. Specifically, with the names and faces extracted from Web videos, C-CNFA decomposes the association task into a three-step framework: community discovering, community matching and celebrity face tagging. To achieve the goal of efficient name-face association under this umbrella, algorithms such as …
Combining Emotion And Facial Nonamanual Signals In Synthesized American Sign Language,
2012
Bowling Green State University
Combining Emotion And Facial Nonamanual Signals In Synthesized American Sign Language, Jerry Schnepp, Rosalee Wolfe, John Mcdonald, Jorge Toro
Visual Communications and Technology Education Faculty Publications
Conference proceedings from the the 14th international ACM SIGACCESS conference on Computers and accessibility-2012. ASSETS '12. Boulder, CO, USA, October 22 - 24, 2012. New York, NY, USA: ACM. 249-250.
A Partition Dummy Sequence Insertion Papr Reduction Method Of The Ofdm System,
2012
Department of Communications, Navigation and Control Engineering, National Taiwan Ocean University, Keelung, Taiwan, R.O.C.
A Partition Dummy Sequence Insertion Papr Reduction Method Of The Ofdm System, Chi-Min Li, Jia-Chyi Wu, Chao-Chin Tseng
Journal of Marine Science and Technology–Taiwan
OFDM (Orthogonal Frequency Division Multiplexing) technique has been widely adopted in many wireless communication systems due to its high data-rate transmission ability and robustness to the multipath fading channel. One major drawback of the OFDM signal is the high peak-toaverage power ratio (PAPR) problem. The high PAPR results in the in-band distortion and out-of-band radiation when the OFDM signal is fed into a nonlinear power amplifier (PA). In this paper, we propose a partition dummy sequence insertion (PDSI) method to reduce the PAPR problem. Simulation results of the PAPR reduction and bit error rate (BER) performance for the proposed method …
Performance Comparison Of The Stbc-Ofdm Decoders In A Fast Fading Channel,
2012
Department of Communications, Navigation and Control Engineering, National Taiwan Ocean University, Keelung, Taiwan, R.O.C.
Performance Comparison Of The Stbc-Ofdm Decoders In A Fast Fading Channel, Chi-Min Li, Guo-Wei Li, Han-Yi Liu
Journal of Marine Science and Technology–Taiwan
In a fast fading channel, the orthogonality of the two consecutive STBC-OFDM symbols will be destroyed and the received signals can not be perfectly separated. As a result, the bit error rate (BER) performance will be degraded seriously. In this paper, we analyze several co-channel interference (CCI) cancellation decoders for the STBC-OFDM in a fast fading channel including the Alamouti method, SIC method, ML method, DMLD method, and a proposed DZFD method. The proposed DZFD method has the advantage of reducing the computational complexity for the DMLD method. We also conduct the outdoor channel measurements to verify the CCI cancellation …
A Model For Designing M-Agriculture Applications For Dairy Farming,
2012
Africa Nazarene University, Kenya
A Model For Designing M-Agriculture Applications For Dairy Farming, Amos Gichamba, Ismail A. Lukandu
The African Journal of Information Systems
In the recent past, developing countries have experienced major technological advancements including high mobile phone penetration. With the implementation of innovative technological solutions (e.g. mobile-based systems in key economic activities such as agriculture), there is need to develop models that software developers and researchers can use to design solutions. This paper aims to study the implementation of mobile systems in agriculture and presents a model for designing such applications. This study shows that models exist for general mobile applications design and development, although none specifically suits mobile agriculture applications. A model for designing and implementing M-Agriculture applications is presented. The …
Evolving Expert Agent Parameters For Capture The Flag Agent In Xpilot,
2012
Connecticut College
Evolving Expert Agent Parameters For Capture The Flag Agent In Xpilot, Gary Parker, Sarah Penrose
Computer Science Faculty Publications
Xpilot is an open source, 2d space combat game. Xpilot-AI allows a programmer to write scripts that control an agent playing a game of Xpilot. It provides a reasonable environment for testing learning systems for autonomous agents, both video game agents and robots. In previous work, a wide range of techniques have been used to develop controllers that are focused on the combat skills for an Xpilot agent. In this research, a Genetic Algorithm (GA) was used to evolve the parameters for an expert agent solving the more challenging problem of capture the flag.
Evolving Predator Control Programs For An Actual Hexapod Robot Predator,
2012
Connecticut College
Evolving Predator Control Programs For An Actual Hexapod Robot Predator, Gary Parker, Basar Gulcu
Computer Science Faculty Publications
In the development of autonomous robots, control program learning systems are important since they allow the robots to adapt to changes in their surroundings. Evolutionary Computation (EC) is a method that is used widely in learning systems. In previous research, we used a Cyclic Genetic Algorithm (CGA), a form of EC, to evolve a simulated predator robot to test the effectiveness of a learning system in the predator/prey problem. The learned control program performed search, chase, and capture behavior using 64 sensor states relative to the nearest obstacle and the target, a simulated prey robot. In this paper, we present …
Automation Techniques For Intelligent Environments - Prediction Of Building Activity Patterns Using A Cyclic Genetic Algorithm,
2012
Connecticut College
Automation Techniques For Intelligent Environments - Prediction Of Building Activity Patterns Using A Cyclic Genetic Algorithm, Gary Parker, David T. Alpert
Computer Science Faculty Publications
This work involves learning the use schedule of an academic building in order to intelligently control various aspects of the environment. Motion sensors are used to monitor and record the activity of each of the rooms in the building. After a basic preprocessing of the data, a Cyclic Genetic Algorithm (CGA) is used to pick out the patterns of use of the rooms. The CGA is seen as ideal for such a problem because of its ability to find repetitive cyclic patterns in the data. Our results show that a CGA has the ability to pick out such patterns and …
Designing Autonomous Robot Missions With Performance Guarantees,
2012
Fordham University
Designing Autonomous Robot Missions With Performance Guarantees, Damian M. Lyons, Ronald Arkin, Prem Nirmal, Shu Jiang
Faculty Publications
This paper describes the need and methods required to construct an integrated software verification and mission specification system for use in robotic missions intended for counter-weapons of mass destruction (c-WMD) operations, as part of a 3-year effort for the Defense Threat Reduction Agency. The overall system architecture is described. The principal tool for verification is a process algebra, PARS, based on port automata theory. PARS is introduced, emphasizing its ability to represent probabilistic programs and uncertain and dynamic environments, followed by the analysis of mission properties for an example robotic mission.
[Accepted Article Manuscript Version (Postprint)] Track Me To Track Us: Leveraging Short Range Wireless Technologies For Enabling Energy Efficient Wi-Fi-Based Localization,
2012
Carnegie Mellon University
[Accepted Article Manuscript Version (Postprint)] Track Me To Track Us: Leveraging Short Range Wireless Technologies For Enabling Energy Efficient Wi-Fi-Based Localization, Mohamed Abdellatif, Abderrahmen Mtibaa, Khaled Harras
Computer Science Faculty Works
Given the success of outdoor tracking via GPS and the rise of real-time context-aware services, users will soon rely on applications that require higher granularity indoor localization. This need is further manifested in countries like Qatar, where various social and business activities occur indoors. Wi-Fi-based indoor localization is one of the most researched techniques due to its ubiquitous deployment and acceptable accuracy for a wide range of applications. However, we do not witness such techniques widely deployed mainly due to their high demand on energy, which is a precious commodity in mobile devices. We propose an energy-efficient indoor localization system …
Digital Imperatives In Marketing: The Integration Of Communications And Technology To Target Consumers While Protecting Privacy,
2012
Seidenberg School of CSIS, Pace University
Digital Imperatives In Marketing: The Integration Of Communications And Technology To Target Consumers While Protecting Privacy, Catherine Dwyer, Randi Priluck
Cornerstone 3 Reports : Interdisciplinary Informatics
No abstract provided.
Andrews Computing Program Is Abet Accredited,
2012
Andrews University
Andrews Computing Program Is Abet Accredited, Keri Suarez
Lake Union Herald
No abstract provided.
An Investigation Of Distributed Schema Free Tabular Data Storage Technologies On Google App Engine And Microsoft Azure,
2012
Technological University Dublin
An Investigation Of Distributed Schema Free Tabular Data Storage Technologies On Google App Engine And Microsoft Azure, Conor Mcgrath, Gary Clynch
Conference Papers
This paper examines schema free non-relational tabular storage for two important emerging Platform as a Service (PaaS) environments, where Google App Engine applications persist data to the Google Datastore, and Microsoft Azure applications store data in Azure Tables. A simple mobile web application was initially developed for both platforms, to understand how an application could be developed and deployed. Java Data Objects (JDO) was selected for Google App Engine and Windows Communication Foundation (WCF) in C# for Microsoft Azure. Many applications have a requirement to store complex data that is organised in relations in the order of One to One, …
Ceg 7900-01: Special Topics: Computer And Network Security,
2012
Wright State University - Main Campus
Ceg 7900-01: Special Topics: Computer And Network Security, Junjie Zhang
Computer Science & Engineering Syllabi
This course will introduce active research topics in computer and network security, and will focus on discussing both sophisticated cyber-attacks and the defense mechanisms. The course will cover topics including intrusion detection, malware analysis, worm detection, botnet detection, spam, phishing, DNS security, web security, cellular network security, and privacy. This class is targeted at PhD and MS students who consider conducting research in computer and network security, and students who are interested in real-world security problems.
Ceg 4500/6500-01: Computer Graphics,
2012
Wright State University - Main Campus
Ceg 4500/6500-01: Computer Graphics, Thomas Wischgoll
Computer Science & Engineering Syllabi
By the end of this quarter, you will have learnt techniques for constructing 2-D and 3·D objects as well as manipulating and rendering the objects using OpenGL.
The outline of the course is as follows:
•Introduction
•Geometric primitives
•Attributes of geometric primitives
•Antialiasing techniques
•Homogeneous coordinate system
•2-0 and 3-D viewing transformations
•Structures and hierarchical modeling
•Input devices and interactive techniques
•Visible surface detection methods
•Three-Dimensional Object Representations (chapter 8)
•Visible-Surface Detection (chapter 9)
•Illumination Models and Surface-Rendering Methods (chapter 10)
•Interactive Input Methods and Graphics User Interfaces (chapter 11)
•Color Models and Color Applications (chapter 12)
•Advanced Rendering and …
Area Query Processing Based On Gray Code In Wireless Sensor Networks,
2012
Kennesaw State University
Area Query Processing Based On Gray Code In Wireless Sensor Networks, Chunyu Ai, Yueming Duan, Mingyuan Yan, Jing He
Faculty Articles
Area query processing is significant for various applications of wireless sensor networks since it can request information of particular areas in the monitored environment. Existing query processing techniques cannot solve area queries. Intuitively centralized processing on Base Station can accomplish area queries via collecting information from all sensor nodes. However, this method is not suitable for wireless sensor networks with limited energy since a large amount of energy is wasted for reporting useless data. This motivates us to propose an energy-efficient in-network area query processing scheme. In our scheme, the monitored area is partitioned into grids, and a unique gray …
