Search results | J. Murrey Atkins Library

Title: A Recurrent Neural Network Based Patch Recommender for Linux Kernel Bugs
Author: Bableshwar, Anusha
Date Created: 2019
Subjects--Topical: Computer engineering
Description: Software bugs result in a variety of issues including system crashes, loss of system performance, incorrect output and security vulnerabilities. In this thesis, we explore the design of a patch recommender system for the Linux kernel. Software too...

Title: A SCALABLE LSTM BASED APPROACH FOR MULTI-PEDESTRIAN TRACKING IN SURVEILLANCE CAMERAS
Author: Kulkarni, Pratik
Date Created: 2019
Subjects--Topical: Computer engineering
Description: There has been an ever growing interest in leveraging state of the art deep learning techniques for tracking objects in video frames. Such works primarily focus on using appearance based models which prove not to be effective in modelling the beha...

Title: ASSESSING THE IMPACT OF SCHOOL BUS TRAFFIC USING MODELING SOFTWARE AND AUTOMATED TRAFFIC SIGNAL PERFORMANCE MEASURES
Author: Dumitru, Andrei
Date Created: 2019
Subjects--Topical: Computer science, Transportation, Computer engineering
Description: Some of the least studied vehicle types in the urban and suburban traffic environment are school buses. Their dynamic deficiencies, as well as the two additional rules that govern their functionality versus other vehicles (no right-turn-on-red and...

Title: Abstract visualization of large-scale time-varying data
Author: Yu, Li
Date Created: 2012
Subjects--Topical: Computer science, Computer engineering
Description: The explosion of large-scale time-varying datasets has created critical challenges for scientists to study and digest. One core problem for visualization is to develop effective approaches that can be used to study various data features and tempor...

Title: An Integrative Algorithm/Architecture Co-Design Of Deep Spatial and Temporal Separable Convolutional Neural Networks
Author: Baharani, Mohammadreza
Date Created: 2021
Subjects--Topical: Computer engineering
Description: In this dissertation, I present my researches on the co-design of algorithms and architectures for deep spatial and temporal separable convolutional neural networks and their applications. As a first step, I will present Deep RACE as an applicatio...

Title: Assured Information Sharing for Ad-hoc Collaboration
Author: Jin, Jing
Date Created: 2009
Subjects--Topical: Computer engineering, Information technology
Description: Collaborative information sharing tends to be highly dynamic and often ad hoc among organizations. The dynamic natures and sharing patterns in ad-hoc collaboration impose a need for a comprehensive and flexible approach to reflecting and coping wi...

Title: Autonomous Control of an All-terrain Vehicle using Embedded Systems and Artificial Intelligence Techniques
Author: Erian, Karim
Date Created: 2022
Subjects--Topical: Computer engineering, Artificial intelligence, Automobiles--Design and construction
Description: The need for autonomous vehicles that do not operate on highways and can move off-road is increasing. While there have been significant advancements in autonomous passenger vehicles in the last couple of years, autonomous off-road vehicles have no...

Title: Autonomous Malware Deception and Orchestration
Author: Sajid, Md Sajidul Islam
Date Created: 2023
Subjects--Topical: Computer science, Computer engineering
Description: Traditional approaches to cyber defense lack the agility to effectively counter stealthy and undetectable attacks, placing defenders at a disadvantage. In response to this imbalance, Active Cyber Deception (ACD) has emerged as a promising solution...

Title: Characterizing Latencies of Edge Video Streaming
Author: Balhaj, Mohamed
Date Created: 2017
Subjects--Topical: Computer engineering
Description: The use of video streaming has been growing rapidly in the recent years and has beenutilized in various applications. Many of these applications are latency sensitive, butthe latency requirements varies largely from one application to another. The...

Title: Cognitive Spectrum Access for D2D Communications in Emerging Networks
Author: Liu, Xingya
Date Created: 2017
Subjects--Topical: Computer engineering
Description: Device to device (D2D) Communication is essential in emerging networks, such as Internet of things (IoT). Cognitive radio (CR)-enabled device is a promising technology to address D2D Communications. However, existing work on CR networks suffers fr...

Title: DYNAMIC ROUTING WITH CROSS-LAYER ADAPTATIONS FOR MULTI-HOP WIRELESS NETWORKS
Author: PAL, AMITANGSHU
Date Created: 2013
Subjects--Topical: Computer science, Computer engineering
Description: In recent years there has been a proliferation of research on a number of wirelessmulti-hop networks that include mobile ad-hoc networks, wireless mesh networks,and wireless sensor networks (WSNs). Routing protocols in such networks are oftenrequi...

Title: Design of Secure Boot Process for Reconfigurable Architectures
Author: Siddiqui, Ali Shuja
Date Created: 2020
Subjects--Topical: Computer engineering
Description: VLSI advancements have enabled proliferation in the Internet of Things(IoT) domain where small scale System-on-a-Chip (SoC) are employed as sensors or actuators. IoT devices are connected with other IoTs and with backend facilities. In today's wor...

Title: Development NURO-RAM: Memory management architecture for streaming CNN accelerators on edge
Author: SAWANT, ADARSH
Date Created: 2019
Subjects--Topical: Computer engineering
Description: Development of accelerators for deep learning accelerators have been gaining a lot of popularity due to sheer amount computation performed by deep learning algorithms. From the onset of Moore's law failure it has become difficult to improve the pe...

Title: EFFICIENT ATTENTION GUIDED GAN ARCHITECTURE FOR UNSUPERVISED DEPTH ESTIMATION
Author: Bhattacharyya, sumanta
Date Created: 2019
Subjects--Topical: Engineering, Computer engineering
Description: Single image depth estimation has always been a key interest in computer visioncommunity. Although depth estimation from a single monocular image still is anill-posed problem, stereo images are in rescue. Deep-learning based approaches todepth est...

Title: Effective Data Parallel Computing on Multicore Processors
Author: Byun, Jong-Ho
Date Created: 2010
Subjects--Topical: Computer science, Computer engineering
Description: The rise of chip multiprocessing or the integration of multiple general purpose processing cores on a single chip (multicores), has impacted all computing platforms including high performance, servers, desktops, mobile, and embedded processors. Pr...

Title: Efficient and Scalable Highway Asset Detection
Author: Bhojwani, Ekta
Date Created: 2021
Subjects--Topical: Computer science, Computer engineering, Artificial intelligence
Description: The roads and highways are a valuable asset for the state department of transportation. It takes massive investment and a huge amount of time to maintain the road assets condition. Therefore, it becomes important to automate the maintenance proces...

Title: EfficientHRNet: Efficient and Scalable Networks for Pose Estimation and Segmentation
Author: Sheth, Aneri
Date Created: 2020
Subjects--Topical: Computer engineering, Artificial intelligence
Description: Recent years have brought great advancement in 2D human pose estimation. However,bottom-up approaches that do not rely on external detectors to generate personcrops, tend to have large model sizes and intense computational requirements, makingthem...

Title: Enabling Architecture Research on GPU Simulator for Deep Learning Applications
Author: Nikam, Abhishek
Date Created: 2018
Subjects--Topical: Computer engineering
Description: Deep learning uses stacks of multiple processing layers to learn representations of data with different levels of abstraction. It enables machines to have the understanding of outer environment just like the human body, opening a path for diverse ...

Title: Enabling Kubernetes for distributed AI processing on edge devices
Author: Raheja, Ronak Vijay
Date Created: 2020
Subjects--Topical: Computer science, Computer engineering
Description: AI processing has been a big area of focus for the research community for quite some years. The growing computation capability of edge devices has allowed Computer Vision to make use of AI techniques with greater efficiency and throughput. This ap...

Title: Evaluating Kubernetes at the Edge for Fault Tolerant Multi Camera Computer Vision Applications
Author: Heckmann, Owen
Date Created: 2014
Subjects--Topical: Computer engineering
Description: The rise of AI powered computer vision algorithms offers the possibility of intelligent data processing, and decision making based on streaming data from video cameras. Applications such as Smart Cities could potentially use these video cameras fo...