Cs 205: Introduction To Computers And Office Productivity Software,
2010
Wright State University - Main Campus
Cs 205: Introduction To Computers And Office Productivity Software, Terri Bauer
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including intermediate word processing, spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.
Cs 415: Social Implications Of Computing,
2010
Wright State University - Main Campus
Cs 415: Social Implications Of Computing, Leo Finkelstein
Computer Science & Engineering Syllabi
CS 415 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.
Cs 205: Introduction To Computers And Office Productivity Software,
2010
Wright State University - Main Campus
Cs 205: Introduction To Computers And Office Productivity Software, Ann Tirpack
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including intermediate word processing, spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are added to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.
Ceg 210-01: Pc Networking I,
2010
Wright State University - Main Campus
Ceg 210-01: Pc Networking I, Karen Meyer
Computer Science & Engineering Syllabi
Introduction to networking technologies including infrastructure and architectures, standards, protocols and directory services, administrations, security and management. Integrated lecture and lab.
Ceg 730-01: Distributed Computing Principles,
2010
Wright State University - Main Campus
Ceg 730-01: Distributed Computing Principles, Yong Pei
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 220-01: Introduction To C Programming For Engineers - I,
2010
Wright State University - Main Campus
Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor
Computer Science & Engineering Syllabi
This course provides a general introduction to computers as a problem-solving tool using the C programming language. Emphasis is on algorithms and techniques useful to engineers. Topics include data representation, debugging, and program verification. Some programming assignments may involve complex arithmetic and trigonometric and exponential functions. 4 credit hours. The course includes a scheduled laboratory section for which you must register.
Cs 240: Computer Programming I,
2010
Wright State University - Main Campus
Cs 240: Computer Programming I, Travis E. Doom
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.
Cs 241: Computer Programming Ii,
2010
Wright State University - Main Campus
Cs 241: Computer Programming Ii, Travis E. Doom
Computer Science & Engineering Syllabi
A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.
Cs 142: Computer Programming Ii,
2010
Wright State University - Main Campus
Cs 142: Computer Programming Ii, Vanessa Starkey
Computer Science & Engineering Syllabi
Concepts introduced in CS 141 are developed in greater detail and depth.
Emphasis on verification and testing of programs. Three hours of lecture, two hours lab.
Multi-Scale Edge Detection Algorithms And Their Information-Theoretic Analysis In The Context Of Visual Communication,
2010
Old Dominion University
Multi-Scale Edge Detection Algorithms And Their Information-Theoretic Analysis In The Context Of Visual Communication, Bo Jiang
Electrical & Computer Engineering Theses & Dissertations
The unrealistic assumption that noise can be modeled as independent, additive and uniform can lead to problems when edge detection methods are applied to low signal-to-noise ratio (SNR) images. The main reason for this is because the filter scale and the threshold for the gradient are difficult to determine at a regional or local scale when the noise estimate is on a global scale. Therefore, in this dissertation, we attempt to solve these problems by using more than one filter to detect the edges and discarding the global thresholding method in the edge discrimination. The proposed multi-scale edge detection algorithms …
Comparing Discrete Simulation And System Dynamics: Modeling An Anti-Insurgency Influence Operation,
2010
Portland State University
Comparing Discrete Simulation And System Dynamics: Modeling An Anti-Insurgency Influence Operation, Wayne Wakeland, Una E. Medina
Complex Systems Faculty Publications and Presentations
This paper contrasts the tradeoffs of modeling the same dynamic problem at a micro scale and at a macro scale of analysis: discrete system simulation (DS) versus continuous system simulation or system dynamics (SD). Both are employed to model the influence of entertainment education on terrorist system decay, with implications for field application. Each method optimizes different design, scope/scale, data availability/accuracy, parameter settings, and system sensitivities. Whether the research served by the computer model is applied or theoretical, DS tends to be useful for understand low-level individual unit/step influences on system change over time, whereas SD tends to shine when …
System Dynamics Implementation Of An Extended Brander And Taylor-Like Easter Island Model,
2010
Portland State University
System Dynamics Implementation Of An Extended Brander And Taylor-Like Easter Island Model, Takuro Uehara, Yoko Nagase, Wayne Wakeland
Complex Systems Faculty Publications and Presentations
We provide a system dynamics implementation of a dynamic ecological economics model. Dynamic economic models are often constrained to use functions, such as the Cobb-Douglas function, chosen “conveniently” to allow for analytic solutions. The C-D function, however, suffers from its fixed elasticity that does not allow for the substitutability between man-made capital and natural capital to change, which is vital for economic sustainability. Using system dynamics removes this constraint and enables more realistic ecological economics models containing functions not amenable to analytic solution. The base model is the natural resource and population growth model developed by Brander and Taylor (1998) …
Scan Loss Pattern Synthesis For Adaptive Array Ground Stations,
2010
Embry-Riddle Aeronautical University
Scan Loss Pattern Synthesis For Adaptive Array Ground Stations, William C. Barott, Mary Ann Ingram, Paul G. Steffes
Publications
We present several techniques for maximizing the contact time between low Earth orbiting satellites (LEOs) and a ground station (GS). The GS comprises an adaptive array of electronically steered space-fed lenses (SFLs). Each SFL is manufactured as a low-cost printed circuit with the result that it exhibits scanning loss. By differently orienting the boresights of the SFLs in the adaptive array, the SFL's scanning losses can be made to optimally complement the path loss of the LEO, thereby reducing the cost of the GS while maximizing the download capacity of the satellite link. The optimization, implemented with a genetic algorithm …
On The Sampling Of Web Images For Learning Visual Concept Classifiers,
2010
Singapore Management University
On The Sampling Of Web Images For Learning Visual Concept Classifiers, Shiai Zhu, Gang Wang, Chong-Wah Ngo, Yu-Gang Jiang
Research Collection School Of Computing and Information Systems
Visual concept learning often requires a large set of training images. In practice, nevertheless, acquiring noise-free training labels with sufficient positive examples is always expensive. A plausible solution for training data collection is by sampling the largely available user-tagged images from social media websites. With the general belief that the probability of correct tagging is higher than that of incorrect tagging, such a solution often sounds feasible, though is not without challenges. First, user-tags can be subjective and, to certain extent, are ambiguous. For instance, an image tagged with “whales” may be simply a picture about ocean museum. Learning concept …
Coherent Bag-Of Audio Words Model For Efficient Large-Scale Video Copy Detection,
2010
Singapore Management University
Coherent Bag-Of Audio Words Model For Efficient Large-Scale Video Copy Detection, Yang Liu, Wan-Lei Zhao, Chong-Wah Ngo, Chang-Sheng Xu, Han-Qing Lu
Research Collection School Of Computing and Information Systems
Current content-based video copy detection approaches mostly concentrate on the visual cues and neglect the audio information. In this paper, we attempt to tackle the video copy detection task resorting to audio information, which is equivalently important as well as visual information in multimedia processing. Firstly, inspired by bag-of visual words model, a bag-of audio words (BoA) representation is proposed to characterize each audio frame. Different from naive singlebased modeling audio retrieval approaches, BoA is a highlevel model due to its perceptual and semantical property. Within the BoA model, a coherency vocabulary indexing structure is adopted to achieve more efficient …
Analysis And Optimization Of Dynamic Spectrum Sharing For Cognitive Radio Networks,
2010
Old Dominion University
Analysis And Optimization Of Dynamic Spectrum Sharing For Cognitive Radio Networks, Manish Wadhwa
Electrical & Computer Engineering Theses & Dissertations
The goal of this dissertation is to present the analysis and optimization of dynamic spectrum sharing for cognitive radio networks (CRNs). Spectrum scarcity is a well known problem at present. In order to deal with this problem, dynamic spectrum sharing (DSS) was proposed. DSS is a technique where cognitive radio networks dynamically and opportunistically share the channels with primary users. The major contribution of this dissertation is in analyzing the problem of dynamic spectrum sharing under different scenarios and developing optimal solutions for these scenarios. In the first scenario, a contention based dynamic spectrum sharing model is considered and its …
The Executable Command In Support Of Scheduled Subroutine Calls,
2010
Old Dominion University
The Executable Command In Support Of Scheduled Subroutine Calls, Andrew Scott Lewis
Electrical & Computer Engineering Theses & Dissertations
A potential solution to improving the utilization of increased thread level parallelism available in modern general purpose CPU's is the inclusion of a hardware scheduler. The hardware scheduler is designed to schedule subroutine calls based on a numerical condition in a high performance memory located on the CPU die, due to which the size of available memory is extremely limited. The main stumbling block in the development of a feasible hardware scheduler is the lack of a method of invoking a scheduled call using a single pointer. The use of a single pointer allows the limited size of the memory …
Action Recognition Based On Multi-Level Representation Of 3d Shape,
2010
Old Dominion University
Action Recognition Based On Multi-Level Representation Of 3d Shape, Binu M. Nair
Electrical & Computer Engineering Theses & Dissertations
A novel algorithm is proposed in this thesis for recognizing human actions using a combination of two shape descriptors, one of which is a 3D Euclidean distance transform and the other based on the Radon transform. This combination captures the necessary variations from the space time shape for recognizing actions. The space time shapes are created by the concatenation of human body silhouettes across time. The comparisons are done against some common shape descriptors such as the zernike moments and Radon transform. This is also compared with an algorithm which uses the same concept of a space time shape and …
A Differential Absorption Model For Remote Sensing Of Atmospheric Pressure,
2010
Old Dominion University
A Differential Absorption Model For Remote Sensing Of Atmospheric Pressure, Shivam J. Shah
Electrical & Computer Engineering Theses & Dissertations
The goal of the project is to develop and test a "model based" radar processing strategy that is compatible with the concept of a "cognitive radar". The basic approach will be to develop a cognitive radar algorithm (genetic algorithm) based on the capabilities of an existing commercially available Software Radio. While the focus of this effort is the development of a candidate approach for genetic algorithm, the longer term goal would be to implement the approach using this software radio technology to provide a low cost radar processor. The proposed technology would use differential absorption radar working at the 50-56 …
Designing Software Product Lines For Testability,
2010
University of Nebraska-Lincoln
Designing Software Product Lines For Testability, Isis Cabral
School of Computing: Dissertations, Theses, and Student Research
Software product line (SPL) engineering offers several advantages in the development of families of software products such as reduced costs, high quality and a short time to market. A software product line is a set of software intensive systems, each of which shares a common core set of functionalities, but also differs from the other products through customization tailored to fit the needs of individual groups of customers. The differences between products within the family are well-understood and organized into a feature model that represents the variability of the SPL. Products can then be built by generating and composing features …
