Search Constraints

Start Over
Filtering by: Committee Member Kovchegov, Yevgeniy Remove constraint Committee Member: Kovchegov, Yevgeniy Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

Search Results

  • Data Collection in Sensor Networks via the Novel Fast Markov Decision Process Framework

    Creator:
    Duong, Thai
    Abstract:
    We investigate the data collection problem in sensor networks. The network consists of a number of stationary sensors deployed at different sites for sensing and storing data locally. A mobile element moves from sites to sites to collect data from the sensors periodically. There are different costs associated with the...
    Resource Type:
    Masters Thesis
    Full Text:
    my committee members Prof. Raviv Raich, Prof. Prasad Tadepalli, and Prof. Yevgeniy Kovchegov for

  • Detecting bad smells in spreadsheets

    Creator:
    Asavametha, Atipol
    Abstract:
    Spreadsheets are a widely used end-user programming tool. Field audits have found that 80-90% of spreadsheets created by end users contain textual and formula errors in spreadsheets. Such errors may have severe negative consequences for users in terms of productivity, credibility, or profits. To solve the problem of spreadsheet errors,...
    Resource Type:
    Masters Thesis

  • An adiabatic approach to analysis of time inhomogeneous Markov chains : a queueing policy application

    Creator:
    Zacharias, Leena
    Abstract:
    In this thesis, convergence of time inhomogeneous Markov chains is studied using an adiabatic approach. The adiabatic framework considers slowly changing systems and the adiabatic time quantifies the time required for the change such that the final state of the system is close to some equilibrium state. This approach is...
    Resource Type:
    Masters Thesis
    Full Text:
    this work would not have materialized. I also thank Dr. Yevgeniy Kovchegov for his help with this work

  • Probabilistic models for classification of bioacoustic data

    Creator:
    Lakshminarayanan, Balaji
    Abstract:
    Probabilistic models have been successfully applied for a wide variety of problems, such as but not limited to information retrieval, computer vision, bio-informatics and speech processing. Probabilistic models allow us to encode our assumptions about the data in an elegant fashion and enable us to perform machine learning tasks such...
    Resource Type:
    Masters Thesis
    Full Text:
    useful for my research. I thank Dr. Yevgeniy Kovchegov for his valuable time. I thank all the members

  • Resource allocation optimization in large scale distributed systems

    Creator:
    Duong-Ba, Thuan Hong
    Abstract:
    We studied the problem of resource allocation in large scale distributed applications such as Online Social Networks (OSN) and Cloud Computing. In such settings, resource allocation schemes need to efficient as well as adaptive to the time-varying environments. The abstract resource allocation problem concerns with how to optimally use resources...
    Resource Type:
    Dissertation
    Full Text:
    thank Professor Bechir Hamdaoui and Professor Yevgeniy Kovchegov for their acceptance to be my

  • Revenue-based spectrum management via Markov decision process

    Creator:
    Zhu, Pingan
    Abstract:
    We consider the problem of wireless spectrum management in cognitive wireless networks that maximizes the revenue for a spectrum operator. Specifically, we study the problem on how a wireless spectrum operator can optimally allocate its limited spectrum to various classes users/devices who pay differently for their spectrum per unit time....
    Resource Type:
    Masters Thesis
    Full Text:
    a lot when I just started my graduate school. I would like to thank Dr. Yevgeniy Kovchegov , Dr

  • Low-power successive approximation analog to digital converter with digital calibration

    Creator:
    Li, Wei
    Abstract:
    IC designers are continuously facing the challenges from reduced CMOS feature sizes and supply voltages. ADCs that deliver satisfactory resolutions/speeds while utilizing the state-of-the-art technologies to save power are in high demand. The analog circuits are more and more assisted by various digital calibration techniques to get boosted performances. This...
    Resource Type:
    Dissertation
    Full Text:
    Terri Fiez, Professor Thinh Nguyen, Professor Alan Wang, Professor Yevgeniy Kovchegov, Professor Pavan

  • Adiabatic Markov Decision Process : convergence of value iteration algorithm

    Creator:
    Duong, Thai
    Abstract:
    Markov Decision Process (MDP) is a well-known framework for devising the optimal decision making strategies under uncertainty. Typically, the decision maker assumes a stationary environment which is characterized by a time-invariant transition probability matrix. However, in many real-world scenarios, this assumption is not justified, thus the optimal strategy might not...
    Resource Type:
    Masters Thesis
    Full Text:
    Prof. Yevgeniy Kovchegov for serving on my committee and reviewing this work. I also thank my

  • Fast queuing policies via convex relaxation

    Creator:
    Nguyen-Huu, Duong
    Abstract:
    Traditionally, networking protocol designs have placed much emphasis on point-to-point reliability and efficiency. With the recent rise of mobile and multimedia applications, other considerations such as power consumption and/or Quality of Service (QoS) are becoming increasingly important factors in designing network protocols. As such, we present a new flexible framework...
    Resource Type:
    Masters Thesis

  • Modeling and analysis of spur structure of digital-to-time conversion based frequency synthesizers

    Creator:
    Talwalkar, Sumit A.
    Abstract:
    Frequency synthesizers are critical components of all communication systems. This thesis considers the issue of undesirable frequency spurs of a relatively recent type of frequency synthesis architecture called digital-to-time conversion (DTC). The DTC-based frequency synthesis architecture has important performance benefits over older frequency synthesizers, such as fast frequency switching, large...
    Resource Type:
    Dissertation
    Full Text:
    committee members Drs. Liu, Raich, Faridani and the GCRs, first Dr. Bokil and then, Dr. Kovchegov gave