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What Is The Optimal Annealing Schedule In Quantum Annealing, Oscar Galindo, Vladik Kreinovich 2020 The University of Texas at El Paso

What Is The Optimal Annealing Schedule In Quantum Annealing, Oscar Galindo, Vladik Kreinovich

Departmental Technical Reports (CS)

In many real-life situations in engineering (and in other disciplines), we need to solve an optimization problem: we want an optimal design, we want an optimal control, etc. One of the main problems in optimization is avoiding local maxima (or minima). One of the techniques that helps with solving this problem is annealing: whenever we find ourselves in a possibly local maximum, we jump out with some probability and continue search for the true optimum. A natural way to organize such a probabilistic perturbation of the deterministic optimization is to use quantum effects. It turns out that often, quantum annealing …


Lexicographic-Type Extension Of Min-Max Logic Is Not Uniquely Determined, Olga Kosheleva, Vladik Kreinovich 2020 The University of Texas at El Paso

Lexicographic-Type Extension Of Min-Max Logic Is Not Uniquely Determined, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Since in a computer, "true" is usually represented as 1 and ``false'' as 0, it is natural to represent intermediate degrees of confidence by numbers intermediate between 0 and 1; this is one of the main ideas behind fuzzy logic -- a technique that has led to many useful applications. In many such applications, the degree of confidence in A & B is estimated as the minimum of the degrees of confidence corresponding to A and B, and the degree of confidence in A \/ B is estimated as the maximum; for example, 0.5 \/ 0.3 = 0.5. It is …


Otter Vector Extension, Alexis A. Peralta 2020 California Polytechnic State University, San Luis Obispo

Otter Vector Extension, Alexis A. Peralta

Computer Engineering

This paper offers an implementation of a subset of the "RISC-V 'V' Vector Extension", v0.7.x. The "RISC-V 'V' Vector Extension" is the proposed vector instruction set for RISC-V open-source architecture. Vectors are inherently data-parallel, allowing for significant performance increases. Vectors have applications in fields such as cryptography, graphics, and machine learning. A vector processing unit was added to Cal Poly's RISC-V multi-cycle architecture, known as the OTTER. Computationally intensive programs running on the OTTER Vector Extension ran over three times faster when compared to the baseline multi-cycle implementation. Memory intensive applications saw similar performance increases.


When Can We Be Sure That Measurement Results Are Consistent: 1-D Interval Case And Beyond, Hani Dbouk, Steffen Schön, Ingo Neumann, Vladik Kreinovich 2020 Leibniz University Hannover

When Can We Be Sure That Measurement Results Are Consistent: 1-D Interval Case And Beyond, Hani Dbouk, Steffen Schön, Ingo Neumann, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, measurements are characterized by interval uncertainty -- namely, based on each measurement result, the only information that we have about the actual value of the measured quantity is that this value belongs to some interval. If several such intervals -- corresponding to measuring the same quantity -- have an empty intersection, this means that at least one of the corresponding measurement results is an outlier, caused by a malfunction of the measuring instrument. From the purely mathematical viewpoint, if the intersection is non-empty, there is no reason to be suspicious, but from the practical viewpoint, if …


Why Lasso, Ridge Regression, And En: Explanation Based On Soft Computing, Woraphon Yamaka, Hamza Alkhatib, Ingo Neumann, Vladik Kreinovich 2020 Chiang Mai University

Why Lasso, Ridge Regression, And En: Explanation Based On Soft Computing, Woraphon Yamaka, Hamza Alkhatib, Ingo Neumann, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, observations and measurement results are consistent with many different models -- i.e., the corresponding problem is ill-posed. In such situations, a reasonable idea is to take into account that the values of the corresponding parameters should not be too large; this idea is known as {\it regularization}. Several different regularization techniques have been proposed; empirically the most successful are LASSO method, when we bound the sum of absolute values of the parameters, ridge regression method, when we bound the sum of the squares, and a EN method in which these two approaches are combined. In this …


Fitness Plug, Evan Lee Ashley 2020 California Polytechnic State University, San Luis Obispo

Fitness Plug, Evan Lee Ashley

Computer Engineering

My parents only allowed me to play videogames or watch television for a certain number of minutes or hours per day. By limiting screen time, they encouraged me to be active and find other things to do outside of television or videogames. The Fitness Plug aims to do both by converting time exercised to entertainment time; you can only watch television or play videogames for as long as you have exercised.


Study On Secrecy Capacity Of Wireless Sensor Networks Based On Amplify-And-Forward Compressed Sensing Scheme, Jianlan Guo, Yuqiang Chen, Yijun Liu 2020 1. Dongguan Polytechnic, Dongguan 523808, China;;

Study On Secrecy Capacity Of Wireless Sensor Networks Based On Amplify-And-Forward Compressed Sensing Scheme, Jianlan Guo, Yuqiang Chen, Yijun Liu

Journal of System Simulation

Abstract: Due to the limitation of wireless sensor nodes on computation, power energy and storage space, the security issue has become a prevalent concern in the wireless communication. A deep insight on the secrecy capacity of wireless sensor network based on the Amplify-and-Forward (AF) compressed sensing scheme was offered providing a corresponding calculable capacity threshold. Moreover, a feasible algorithm based on augmented Lagrange method for the reconstruction of communication signals was proposed. Furthermore, the impact of the secrecy capacity was discussed to various numbers of active sensor nodes, relay nodes and eavesdropper nodes. Simulation results demonstrate the validity of the …


Lawn Buddy, Jayson Johnston, Andrew Brown, Jacob Maljian 2020 California Polytechnic State University, San Luis Obispo

Lawn Buddy, Jayson Johnston, Andrew Brown, Jacob Maljian

Electrical Engineering

Grass lawns are a common hallmark of the American home. In 2019, a survey from the National Association of Landscape Professionals found that 81% of all Americans owned a lawn [1]. Mowing is a time consuming and costly chore that is part of maintaining a grass lawn. The manual labor in mowing a lawn can exceed 40 hours per year [2]. People commonly incur weekly costs on mowing services to save time. Traditional gas powered mowers are physically demanding and use engines that need routine maintenance. They operate loudly enough that users should be wearing hearing protection and the noise …


The Characterization Of Effective Electromagnetic Fields On The Safety And Quality Of Low-Moisture Foods (Effs) - Prototype Device Development, Joe G. Sandoval 2020 California Polytechnic State University, San Luis Obispo

The Characterization Of Effective Electromagnetic Fields On The Safety And Quality Of Low-Moisture Foods (Effs) - Prototype Device Development, Joe G. Sandoval

Electrical Engineering

Contamination of low-moisture foods including flour, wheat grain, baby formula, and more, have increasingly become a concern due to sanitizing challenges. While industrial food processors have long used RF heating to sanitize mass quantities, an equivalent consumer device is absent from the market today. The Characterization of Effective Electromagnetic Fields on the Safety and Quality of Low-Moisture Foods (EEFS) project is an interdisciplinary effort to develop an RF heating consumer device to sanitize low-moisture foods.

A prototype device was designed to sanitize low-moisture food items using RF heating acceptable for commercial or consumer applications.


Artificial Neural Network To Detect Alzheimer's In Mri Scans, James Alden Poirier, Michael Gary Tuttle 2020 California Polytechnic State University, San Luis Obispo

Artificial Neural Network To Detect Alzheimer's In Mri Scans, James Alden Poirier, Michael Gary Tuttle

Electrical Engineering

Alzheimer’s Disease ranks (AD) as one of the most common diseases in America. Currently, detecting Alzheimer’s Disease relies upon reported symptoms, however changes in the brain can manifest years or decades before symptoms appear. In recent years, researchers have successfully utilized Artificial Neural Networks (ANN) for a variety of image classification tasks. Here, we train an ANN to detect Alzheimer’s Disease using magnetic resonance imaging (MRI) brain scans. Giving an MRI to both a neural network and a doctor will allow the doctor to be more confident in their answer, as well as double-check their answer with an objective report …


Bootstrapping Massively Multiplayer Online Role Playing Games, Mitchell Miller 2020 California Polytechnic State University, San Luis Obispo

Bootstrapping Massively Multiplayer Online Role Playing Games, Mitchell Miller

Master's Theses

Massively Multiplayer Online Role Playing Games (MMORPGs) are a prominent genre in today's video game industry with the most popular MMORPGs generating billions of dollars in revenue and attracting millions of players. As they have grown, they have become a major target for both technological research and sociological research. In such research, it is nearly impossible to reach the same player scale from any self-made technology or sociological experiments. This greatly limits the amount of control and topics that can be explored. In an effort to make up a lacking or non-existent player-base for custom-made MMORPG research scenarios A.I. agents, …


Simulation Analysis On Ballistic Deflection Of Projectile Obliquely Penetrating Into Concrete, Jianfeng Xue, Peihui Shen, Xiaoming Wang 2020 ZNDY Ministerial Key Laboratory, Nanjing University of Science and Technology, Nanjing 210094, China;

Simulation Analysis On Ballistic Deflection Of Projectile Obliquely Penetrating Into Concrete, Jianfeng Xue, Peihui Shen, Xiaoming Wang

Journal of System Simulation

Abstract: In order to study the trajectory deflection law of projectiles obliquely penetrating into concrete targets, based on the theory of rigid body kinematics and cavity expansion, the penetration motion differential equations of ogive-nosed projectile were established. The variation rules of trajectory offset and invasion depth were given in different initial conditions through the programming calculation and numerical simulation by MATALB and ANSYS-LYNA software. The calculation results agree well with experimental data. The results show that the influence of penetration depth and deflection angle increase with the oblique angle increasing. The influence of ballistic deflection decreases with the …


Conference Roundup: Smart Cataloging - Beginning The Move From Batch Processing To Automated Classification, Rachel S. Evans 2020 University of Georgia School of Law

Conference Roundup: Smart Cataloging - Beginning The Move From Batch Processing To Automated Classification, Rachel S. Evans

Articles, Chapters and Online Publications

This article reviewed the Amigos Online Conference titled “Work Smarter, Not Harder: Innovating Technical Services Workflows” keynote session delivered by Dr. Terry Reese on February 13, 2020. Excerpt:

"As the developer of MarcEdit, a popular metadata suite used widely across the library community, Reese’s current work is focused on the ways in which libraries might leverage semantic web techniques in order to transform legacy library metadata into something new. So many sessions related to using new technologies in libraries or academia, although exciting, are not practical enough to put into everyday use by most librarians. Reese’s keynote, titled Smart Cataloging: …


What Do Undergraduate Engineering Students And Preservice Teachers Learn By Collaborating And Teaching Engineering And Coding Through Robotics?, Jennifer Jill Kidd, Krishnanand Kaipa, Samuel J. Jacks, Stacie I. Ringleb, Pilar Pazos, Kristie Gutierrez, Orlando M. Ayala, Lillian Maria de Souza Almeida 2020 Old Dominion University

What Do Undergraduate Engineering Students And Preservice Teachers Learn By Collaborating And Teaching Engineering And Coding Through Robotics?, Jennifer Jill Kidd, Krishnanand Kaipa, Samuel J. Jacks, Stacie I. Ringleb, Pilar Pazos, Kristie Gutierrez, Orlando M. Ayala, Lillian Maria De Souza Almeida

Teaching & Learning Faculty Publications

This research paper presents preliminary results of an NSF-supported interdisciplinary collaboration between undergraduate engineering students and preservice teachers. The fields of engineering and elementary education share similar challenges when it comes to preparing undergraduate students for the new demands they will encounter in their profession. Engineering students need interprofessional skills that will help them value and negotiate the contributions of various disciplines while working on problems that require a multidisciplinary approach. Increasingly, the solutions to today's complex problems must integrate knowledge and practices from multiple disciplines and engineers must be able to recognize when expertise from outside their field can …


Learning From Digital Failures? The Effectiveness Of Firms’ Divestiture And Management Turnover Responses To Data Breaches, Gui-deng SAY, Gurneeta VASUDEVA 2020 Singapore Management University

Learning From Digital Failures? The Effectiveness Of Firms’ Divestiture And Management Turnover Responses To Data Breaches, Gui-Deng Say, Gurneeta Vasudeva

Research Collection Lee Kong Chian School Of Business

We examine whether firms learn from digital technology failures in the form of data breach events, based on the effectiveness of their failure responses. We argue that firms experiencing such technological failures interpret them broadly as organizational problems, and undertake unrelated divestitures and top management turnover to achieve better standardization and to remove dysfunctional routines. We test our hypotheses on unrelated subsidiary divestitures and chief technology officer (CTO) turnovers undertaken by 8,760 publicly traded U.S. firms that were at risk of experiencing data breaches in- volving the loss of personally identifiable information during the period 2005–2016. We find that data …


High Speed, High Current Monitoring System, Nicolette Lila Ray 2020 California Polytechnic State University, San Luis Obispo

High Speed, High Current Monitoring System, Nicolette Lila Ray

Electrical Engineering

Electronics testing requires lengthy data collection and analysis. Streamlining at least part of this process allows resource reallocation, and faster data processing. Verifying a signal’s efficiency is key specification for a component’s datasheet. This project focuses on streamlining data collection when measuring a device’s output current. It combines amplifier design and digital interfacing to perform monitor a device’s output current. A computer-enable interface displays a graphical output current representation. It ensures accurate, high speed, high current measurements while removing a person’s need to manually plot data after testing. A new testing method provides room for company and product growth with …


Robust Drone Landing, Alvin Xuan Quan Chui 2020 California Polytechnic State University, San Luis Obispo

Robust Drone Landing, Alvin Xuan Quan Chui

Computer Engineering

The growth of drone technology goes with the demands of computer vision. Computer vision provides opportunities for developers to design and create, giving rise to a new innovation. It is also a basis for a full autonomous system when implemented with an intelligent agent. Surveillance drones are installed with cameras, and cameras are the most common approach to computer vision. However, a high-resolution camera with great performance could be expensive, while other low-cost cameras might lack reading accuracy. To improve the performances and maximize a camera’s capability, many different object trackers come into play. This paper will investigate and study …


Wine Sampler, Lance L. Litten 2020 California Polytechnic State University, San Luis Obispo

Wine Sampler, Lance L. Litten

Computer Engineering

Quality testing is an important part of the wine industry. Without proper quality control, thousands of dollars could be wasted on bottling and recalling hundreds of gallons of wine. Due to this, labs are set up that collect wine samples from the tanks in a wine production plant and test them. A big part of this testing is determining exactly what tanks need to be tested and what tanks are at risk. My project aims to help automate this task by collecting data from the tanks wirelessly and keeping track of simple indicators such as pH and temperature. Automating this …


Rchex: A Radio-Controlled Hexapod, Dominique Sayo 2020 California Polytechnic State University, San Luis Obispo

Rchex: A Radio-Controlled Hexapod, Dominique Sayo

Computer Engineering

rcHex is a radio-controlled hexapod with 18 degrees of freedom, capable of positional and rotational body adjustment as well as omnidirectional travel at variable speeds using three common gaits. Its general-purpose design accessible to hobbyists makes rcHex an platform for further development, whether it be experimentation in advanced robotic movement or retrofitting sensors to utilize technologies such as computer vision and artificial intelligence. This report explores some of the design intricacies of hexapod movement, including gait sequencing and the application of inverse kinematics to multi-jointed limbs.


Biometric Identification With Ecg Signals, Connor Lindstrom, Jonathan Wood, Jacob Torchia, Jonathan Lee 2020 California Polytechnic State University, San Luis Obispo

Biometric Identification With Ecg Signals, Connor Lindstrom, Jonathan Wood, Jacob Torchia, Jonathan Lee

Electrical Engineering

This project introduces a new form of biometric identification with an ECG signal with the use of machine learning concepts. The ECG signal makes a good candidate for identification because of its unique characteristics that make it easy to distinguish individuals from one another. A patient who has previously had ECG scans stored in a database before, can be verified using this program. This project has the capability of identifying a person or verifying a person solely using their ECG signal. Utilizing this biometric identification, hospitals would be able to add to the reliability of their identification process. Additionally, companies …


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