Search Constraints

Start Over
Filtering by: Creator Mishra, Prafulla K. Remove constraint Creator: Mishra, Prafulla K. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

Search Results

  • Infant Hand Detection and Tracking

    Creator:
    Mishra, Shridhar
    Abstract:
    Hand detection is a fundamental step for many hand-related computer vision tasks, such as gesture recognition, hand pose estimation, hand sign language translation, and so on. However, robustly detecting hands is a challenging task because of drastic changes in appearance based on finger articulation and changes in lighting conditions, camera...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Shridhar Mishra for the degree

  • A motor-generator and supercapacitor based system for microgrid frequency stabilization

    Creator:
    Crispo, Richard F.
    Abstract:
    This research introduces an energy storage system to deliver microgrid frequency response. A doubly-fed induction generator (DFIG) and a squirrel cage induction machine (SCIM) are coupled together as a motor/generator set to deliver an immediate inertial response to a change of frequency, and an inverter and supercapacitors deliver short term...
    Resource Type:
    Masters Thesis
    Full Text:
    stabilize the system frequency under various load/source conditions. Mishra et. al [12] simulate a

  • Linearizing techniques for voltage controlled oscillator based analog to digital converters

    Creator:
    Rao, Sachin B.
    Abstract:
    Voltage controlled oscillator (VCO) based ADC is an important class of time-domain ADC that has gained widespread acceptance due to their several desirable properties. VCO-based ADCs behave like an open-loop continuous time ΔΣ modulator and achieve excellent resolution by first order noise shaping the quantization error. However, the SNDR of...
    Resource Type:
    Dissertation
    Full Text:
    ) K which indicates that the problem is especially severe at low OSR. For example, from Eq. 3.6

  • Enhancing Resolution and Scalability of Power Grid Reliability Algorithms

    Creator:
    Lassetter, Austin R.
    Abstract:
    This Thesis aims to determine whether we can improve the accuracy, resolution, and speed of calculations for common power system problems using simple computational models that scale well to machine learning and high performance computing solutions. The second chapter of this Thesis implements more precise aging and degradation models for...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 2 Raw Data Preprocessing . . . . . . . . . . . . . . . . . . . . . . . . 38 3 K-means algorithm

  • Applying the Technology Acceptance Model to Understand the Intention to Use a CS-based Curriculum

    Creator:
    Gupta, Ayushi
    Abstract:
    In the ever-evolving field of computer science (CS) education, the significance of teachers and their backgrounds have often been overshadowed by the predominant focus on students. Teachers in the K-12 often lack the necessary expertise and have limited support provided by existing CS-based curricula. While research on CS education effectiveness...
    Resource Type:
    Masters Thesis
    Full Text:
    . Teachers in the K-12 often lack the necessary expertise and have limited support provided by existing CS

  • Towards Direct Simultaneous Speech Translation

    Creator:
    Chen, Junkun
    Abstract:
    Simultaneous speech translation (SimulST) is widely useful in many cross-lingual communication scenarios, including multinational conferences and international traveling. Since text-based simultaneous machine translation (SimulMT) has achieved great success in recent years. The conventional cascaded approach for SimulST uses a pipeline of streaming ASR followed by simultaneous MT but suffers from...
    Resource Type:
    Dissertation
    Full Text:
    framework. The model can directly translate from the given speech with a wait-k policy guided by a syn

  • Energy-Efficient Resource Management Techniques for Cloud Data Centers

    Creator:
    Dabbagh, Mehiar
    Abstract:
    Energy consumption has become a great deal for cloud service providers due to financial as well as environmental concerns. Studies show that cloud servers operate, most of the time, at only between 10% and 50% of their maximal utilizations. These same studies also show that servers that are kept ON...
    Resource Type:
    Dissertation
    Full Text:
    ) requests along with their amounts of CPU and memory resources using k-Means clustering and adaptive Wiener

  • Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

    Creator:
    Ghadakchi, Vahid
    Abstract:
    Many database users are not familiar with formal query languages, the concept of schema, or the exact content of their database. Thus, it is challenging for these users to formulate their information needs over semi-structured and structured databases. To address this problem, researchers have proposed usable query interfaces over which...
    Resource Type:
    Dissertation
    Full Text:
    join compared to block nested loop join for dif- ferent values of k

  • Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

    Creator:
    Desai, Saurabh Satish
    Abstract:
    Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
    Resource Type:
    Masters Thesis
    Full Text:
    architecture described above. The final auxiliary loss LD is LD = − 1 16×N N∑ i=1 16∑ k=1 8∑ j=1 I(j

  • Poisoning machine learning models to increase membership inference risks

    Creator:
    Le, Hoang
    Abstract:
    Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
    Resource Type:
    Masters Thesis
    Full Text:
    , Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. Language models