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Articles 1 - 8 of 8
Full-Text Articles in Computer Engineering
Detection Of Variable Retention Time In Dram, Neraj Kumar
Detection Of Variable Retention Time In Dram, Neraj Kumar
Dissertations and Theses
This thesis investigates a test method to detect the presence of Variable Retention Time (VRT) bits in manufactured DRAM. The VRT bits retention time is modeled as a 2-state random telegraph process that includes miscorrelation between test and use. The VRT defect is particularly sensitive to test and use conditions. A new test method is proposed to screen the VRT bits by simulating the use conditions during manufacturing test. Evaluation of the proposed test method required a bit-level VRT model to be parameterized as a function of temperature and voltage conditions. The complete 2-state VRT bit model combines models for …
System-Wide Performance Analysis For Virtualization, Deron Eugene Jensen
System-Wide Performance Analysis For Virtualization, Deron Eugene Jensen
Dissertations and Theses
With the current trend in cloud computing and virtualization, more organizations are moving their systems from a physical host to a virtual server.
Although this can significantly reduce hardware, power, and administration costs, it can increase the cost of analyzing performance problems. With virtualization, there is an initial performance overhead, and as more virtual machines are added to a physical host the interference increases between various guest machines. When this interference occurs, a virtualized guest application may not perform as expected. There is little or no information to the virtual OS about the interference, and the current performance tools in …
Ranked Similarity Search Of Scientific Datasets: An Information Retrieval Approach, Veronika Margaret Megler
Ranked Similarity Search Of Scientific Datasets: An Information Retrieval Approach, Veronika Margaret Megler
Dissertations and Theses
In the past decade, the amount of scientific data collected and generated by scientists has grown dramatically. This growth has intensified an existing problem: in large archives consisting of datasets stored in many files, formats and locations, how can scientists find data relevant to their research interests? We approach this problem in a new way: by adapting Information Retrieval techniques, developed for searching text documents, into the world of (primarily numeric) scientific data. We propose an approach that uses a blend of automated and curated methods to extract metadata from large repositories of scientific data. We then perform searches over …
Building A Better Computer For The Aging Generation, Gretchen Baird, Boryeon Kwon, Dylan Lasner, Parker Swensen, Zane Ross, Adrik Gurganus
Building A Better Computer For The Aging Generation, Gretchen Baird, Boryeon Kwon, Dylan Lasner, Parker Swensen, Zane Ross, Adrik Gurganus
PSU High School Innovation Challenge
The problem which we have ventured out to solve is that the aging community does not have easily accessible computers and technologies.
Lifebrace: The Advanced Health Tracking Wristband, Jeremy Ferrando, Dylan O'Brien, Daniel Ortiz, Jonah Paivarinta
Lifebrace: The Advanced Health Tracking Wristband, Jeremy Ferrando, Dylan O'Brien, Daniel Ortiz, Jonah Paivarinta
PSU High School Innovation Challenge
Over 28 million Americans have diabetes or pre-diabetes. Every 33 seconds someone dies of heart disease, claiming more lives than AIDS and all forms of cancer combined. Falls are the leading cause of fatal and non fatal injuries to elderly people.
These problems require constant supervision and frequent treatments to keep a patient stable, and they all become more serious with age. People with diabetes, heart conditions, or other debilitating conditions need frequent check-ups, and are always in danger of accidents. They also often need frequent doses of medicine.
The only way that these conditions can be monitored properly is …
Tech For Arthritis, Alex Gaiovych, Anna Velikoretskikh, Ephraim Lee, Karl Stephenson, Kevin Wu, Miguel Campos, Veyda Campos
Tech For Arthritis, Alex Gaiovych, Anna Velikoretskikh, Ephraim Lee, Karl Stephenson, Kevin Wu, Miguel Campos, Veyda Campos
PSU High School Innovation Challenge
In an era where technological advances are made on almost a daily basis, there are still many people who aren’t able or are scared to use modern technology. While computers and phones get smarter and more powerful, they are also getting smaller and more precise. Trying to push a tiny button, either real or virtual, can be a real problem for those who suffer from arthritis.
According to www.arthritis.org, over 50 million people are diagnosed with arthritis, most of which are senior citizens. Many of these seniors don’t use technology to its full potential because they simply can’t. For some, …
Mobile Robot Localization Based On Kalman Filter, Omar Q. Mohsin
Mobile Robot Localization Based On Kalman Filter, Omar Q. Mohsin
Dissertations and Theses
Robot localization is one of the most important subjects in the Robotics science. It is an interesting and complicated topic. There are many algorithms to solve the problem of localization. Each localization system has its own set of features, and based on them, a solution will be chosen. In my thesis, I want to present a solution to find the best estimate for a robot position in certain space for which a map is available. The thesis started with an elementary introduction to the probability and the Gaussian theories. Simple and advanced practical examples are presented to illustrate each concept …
A Comparative Study Of Reservoir Computing For Temporal Signal Processing, Alireza Goudarzi, Peter Banda, Matthew R. Lakin, Christof Teuscher, Darko Stefanovic
A Comparative Study Of Reservoir Computing For Temporal Signal Processing, Alireza Goudarzi, Peter Banda, Matthew R. Lakin, Christof Teuscher, Darko Stefanovic
Computer Science Faculty Publications and Presentations
Reservoir computing (RC) is a novel approach to time series prediction using recurrent neural networks. In RC, an input signal perturbs the intrinsic dynamics of a medium called a reservoir. A readout layer is then trained to reconstruct a target output from the reservoir's state. The multitude of RC architectures and evaluation metrics poses a challenge to both practitioners and theorists who study the task-solving performance and computational power of RC. In addition, in contrast to traditional computation models, the reservoir is a dynamical system in which computation and memory are inseparable, and therefore hard to analyze. Here, we compare …