Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Attributes based network (1)
- Classification (1)
- Cognitive radio networks (1)
- Complex network generator (1)
- Computer vision (1)
-
- Computer vision system (1)
- Energy saving (1)
- Face recognition (1)
- Human robot interaction (1)
- Human robot interface (1)
- Identification (1)
- L1-minimization (1)
- Mac (1)
- Machine learning (1)
- Map (1)
- Multi link generator (1)
- Multi robot manipulation (1)
- Multi robot systems (1)
- Object detection (1)
- Object segmentation (1)
- Object tracking (1)
- Push service (1)
- Routing (1)
- Smartphone (1)
- Social networks (1)
- Sparse representation (1)
- Spectrum (1)
- Still image (1)
- Synthetic networks (1)
- Video (1)
Articles 1 - 6 of 6
Full-Text Articles in Computer Engineering
Synthetic Generators For Simulating Social Networks, Awrad Mohammed Ali
Synthetic Generators For Simulating Social Networks, Awrad Mohammed Ali
Electronic Theses and Dissertations
An application area of increasing importance is creating agent-based simulations to model human societies. One component of developing these simulations is the ability to generate realistic human social networks. Online social networking websites, such as Facebook, Google+, and Twitter, have increased in popularity in the last decade. Despite the increase in online social networking tools and the importance of studying human behavior in these networks, collecting data directly from these networks is not always feasible due to privacy concerns. Previous work in this area has primarily been limited to 1) network generators that aim to duplicate a small subset of …
Human Detection, Tracking And Segmentation In Surveillance Video, Guang Shu
Human Detection, Tracking And Segmentation In Surveillance Video, Guang Shu
Electronic Theses and Dissertations
This dissertation addresses the problem of human detection and tracking in surveillance videos. Even though this is a well-explored topic, many challenges remain when confronted with data from real world situations. These challenges include appearance variation, illumination changes, camera motion, cluttered scenes and occlusion. In this dissertation several novel methods for improving on the current state of human detection and tracking based on learning scene-specific information in video feeds are proposed. Firstly, we propose a novel method for human detection which employs unsupervised learning and superpixel segmentation. The performance of generic human detectors is usually degraded in unconstrained video environments …
Spectrum Map And Its Application In Cognitive Radio Networks, Saptarshi Debroy
Spectrum Map And Its Application In Cognitive Radio Networks, Saptarshi Debroy
Electronic Theses and Dissertations
Recent measurements on radio spectrum usage have revealed the abundance of underutilized bands of spectrum that belong to licensed users. This necessitated the paradigm shift from static to dynamic spectrum access. Cognitive radio based secondary networks that utilize such unused spectrum holes in the licensed band, have been proposed as a possible solution to the spectrum crisis. The idea is to detect times when a particular licensed band is unused and use it for transmission without causing interference to the licensed user. We argue that prior knowledge about occupancy of such bands and the corresponding achievable performance metrics can potentially …
Taming Wild Faces: Web-Scale, Open-Universe Face Identification In Still And Video Imagery, Enrique Ortiz
Taming Wild Faces: Web-Scale, Open-Universe Face Identification In Still And Video Imagery, Enrique Ortiz
Electronic Theses and Dissertations
With the increasing pervasiveness of digital cameras, the Internet, and social networking, there is a growing need to catalog and analyze large collections of photos and videos. In this dissertation, we explore unconstrained still-image and video-based face recognition in real-world scenarios, e.g. social photo sharing and movie trailers, where people of interest are recognized and all others are ignored. In such a scenario, we must obtain high precision in recognizing the known identities, while accurately rejecting those of no interest. Recent advancements in face recognition research has seen Sparse Representation-based Classification (SRC) advance to the forefront of competing methods. However, …
Human-Robot Interaction For Multi-Robot Systems, Bennie Lewis
Human-Robot Interaction For Multi-Robot Systems, Bennie Lewis
Electronic Theses and Dissertations
Designing an effective human-robot interaction paradigm is particularly important for complex tasks such as multi-robot manipulation that require the human and robot to work together in a tightly coupled fashion. Although increasing the number of robots can expand the area that the robots can cover within a bounded period of time, a poor human-robot interface will ultimately compromise the performance of the team of robots. However, introducing a human operator to the team of robots, does not automatically improve performance due to the difficulty of teleoperating mobile robots with manipulators. The human operator’s concentration is divided not only among multiple …
Sps: An Sms-Based Push Service For Energy Saving In Smartphone's Idle State, Erich Dondyk
Sps: An Sms-Based Push Service For Energy Saving In Smartphone's Idle State, Erich Dondyk
Electronic Theses and Dissertations
Despite of all the advances in smartphone technology in recent years, smartphones still remain limited by their battery life. Unlike other power hungry components in the smartphone, the cellular data and Wi-Fi interfaces often continue to be used even while the phone is in the idle state to accommodate unnecessary data traffic produced by some applications. In addition, bad reception has been proven to greatly increase energy consumed by the radio, which happens quite often when smartphone users are inside buildings. In this paper, we present a Short message service Push based Service (SPS) to save unnecessary power consumption when …