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Weather Data Analysis using Hadoop to Mitigate Event Planning Disasters
No full textThis poster presents the design and implementation of weather data analysis using Hadoop distributed system, which can be used for planning outdoor events. The proposed event planning system decides how many appropriate days for outdoor events and activities per month for a different attractive cities based on the analysis of historical weather data. All collected data are stored at HDFS, i.e., Hadoop Distributed File System, and then they are processed and analyzed by using MapReduce programming. As results, we can discover useful information about event planning, such as locations (city), time and statistical data
Residential Mortgages and Public Policy: What to do with Fannie and Freddie?
No full textThe current debate on U.S. housing policy focuses on the role of the government in supporting the mort-gage market. Existing organizations (Fannie Mae/Freddie Mac) are in conservatorship, and Congress is considering alternative structures and guarantees including catastrophic insurance in support of the coverage from private companies. This research reviews public policy and the experience of governmental catastrophic insurance with particular reference to FDIC coverage for bank accounts
Miniaturized PM2.5 Particulate Sensor Based on Optical Sensing
No full text© ASEE 2015With the rapid economic growth in developing countries, the air pollution is becoming more and more serious. The air in some big cities becomes foggy due to various pollution sources. Particulate matter with diameter of 2.5 microns or less is especially dangerous because they can be inhaled into deep part of lung tissues and eventually absorbed into blood circulation system. This is very harmful for human health, leading to lung cancer and other related diseases. It is important for people to have a handheld PM2.5 sensor to monitor the air pollution to decide whether they should travel or do exercises outdoor. In this research, a miniaturized PM2.5 particulate sensor based on optical sensing is proposed. The air sample flows through a chamber with constant flow rate. Incident laser light pass through the chamber and is reflected by a set of mirrors for multiple times. The light is scattered by the PM2.5 particles in the air sample so that the light intensity is weakened. The higher concentration the PM2.5 is, the more light scattering it will be. By sensing the reflected light intensity with a photodetector, the PM2.5 concentration of the air sample can be measured. Unlike PM2.5 sensing by absorption, optical sensing does not cause any pollution to the device and it can be reused for a long time. The device is designed, analyzed and simulated with COMSOL. It offers a low-cost portable solution for PM2.5 sensing
Engineering Case Studies: Analyzing the Quality of Steel and Glass Products via Statistical Process Control Charts
No full textStatistical Process Control (SPC) is the collection of various problem detection and solving techniques which can be applied to any process. Statistical process control is a crucial technique in quality improvement. The major objective of SPC is to detect the root cause and frequency of issues in the processes so that corrective actions may be taken before non-conforming (defective) units are generated. The ultimate goal of SPC is to eliminate the variability in the process. The basic seven tools of SPC, i.e., Magnificent Seven are listed below: 1. Process Flowchart 2. Check Sheets / Tally Charts 3. Cause and Effect Diagram (Ishikawa) 4. Scatter Diagram 5. Histogram and Graphs 6. Pareto Chart 7. Control Chart
Propionic Acid: a Potential Link Between Pain Perception and Self-injurious Behavior in Autism Spectrum Disorders
No full textThis thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed, please contact the Wahlstrom Library to discuss permission.It is speculated that individuals on the autism spectrum who engage in chronic self injurious behaviors have a dysregulation of pain perception in the form of altered pain thresholds, impaired pain expression, and/or disrupted pain signaling. Propionic acid, a short chain fatty acid, is known to alter behavior and gene expression, and modulate immune function. The focus of this paper is to determine whether or not increased levels of propionic acid has an effect—direct or indirect—on pain response, thereby decreasing self-injurious behavior in individuals with ASD. Proper therapeutic nutritional supports for neurologic and gastrointestinal dysfunction may modulate inflammatory and immunological responses, normalizing maladaptive behaviors as well as dampening pain responses
Heterogeneous Robot Swarm – Hardware Design and Implementation
No full textSwarm robotics is one the most fascinating, new research areas in the field of robotics, and one of it's grand challenge is the design of swarm robots that are both heterogeneous and self-sufficient. This can be crucial for robots exposed to environments that are unstructured or not easily accessible for a human operator, such as a collapsed building, the deep sea, or the surface of another planet. In Swarm robotics; self-assembly, self-reconfigurability and self-replication are among the most important characteristics as they can add extra capabilities and functionality to the robots besides the robustness,
flexibility and scalability. Developing a swarm robot system with heterogeneity and larger
behavioral repertoire is addressed in this work. This project is a comprehensive study of the hardware architecture of the homogeneous robot swarm and several problems related to the important aspects of robot's hardware, such as: sensory units, communication among the modules, and hardware components. Most of the hardware platforms used in the swarm robot system are homogeneous and use centralized control architecture for task completion. The hardware architecture is designed and implemented for UB heterogeneous robot swarm with both decentralized and centralized control, depending on the task requirement. Each robot in the UB heterogeneous swarm is equipped with different sensors, actuators, microcontroller and communication modules, which makes them distinct from each other from a hardware point of view. The methodology provides detailed guidelines in designing and implementing the hardware architecture of the heterogeneous UB robot swarm with plug and play approach. We divided the design module into three main categories - sensory modules, locomotion and manipulation, communication and control. We conjecture that the hardware architecture of heterogeneous swarm robots implemented in this work is the most sophisticated and modular design to date
Difficulties in Treating Chronic Lyme Disease and the Efficacy of Using Integrative Therapy for its Treatment, Especially in Regard to chronic Lyme Arthritis
No full textThis thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed, please contact the Wahlstrom Library to discuss permission.Objective: The purpose of this paper is to outline several of the difficulties in treating Chronic Lyme disease and propose a core protocol that addresses many of the these difficulties. Additional treatments can be added to individualize the treatment depending on the symptoms presented and the unique needs that the patient possesses. Emphasis is made to address treatment for chronic Lyme arthritis that is so often encountered in Lyme disease. Basic procedures: Information used to design the protocol was supplied by searching PubMed and the Walstrom Library OneSearch databases. Researched focused on papers showing efficacy in Lyme disease related prevention and treatment. Papers were generally chosen that were published within the last 20 years. Main Findings – The efficacy of alternative treatments relied on addressing Lyme disease not just by direct toxicity to Borrelia burgdorferi, but by targeting one or more of the unique evasive mechanisms that the spirochete uses to evade host immunity. Principal Conclusions – Designing a core treatment with many different components, that address the many mechanism of evasion of Borrelia burgdorferi, is potentially more effective for treating Chronic Lyme disease than single antibiotic protocols