District 9

This is a review of District 9 (2009)

Watchmen

This is a review of Watchmen (2009)

Prospectus, January 21, 1998

https://spark.parkland.edu/prospectus_1998/1001/thumbnail.jp

Prospectus, April 29, 1998

https://spark.parkland.edu/prospectus_1998/1014/thumbnail.jp

Distributed Predictive Maintenance Architecture for Edge Sensors Networks: An Optimal Regression Based Machine Learning Model

In predictive maintenance (PdM), implementing machine learning models (ML) on edge sensor hardware is particularly challenging. This is due to power constraints which significantly reduce computational performance in conventional embedded processors such as central processing units (CPUs) and microcontroller units (MCUs). However, Field Programmable Gate Arrays (FPGAs) have been identified as an ideal processing unit to overcome this, providing hardware acceleration of models on the edge. With low-precision data, FPGAs have been shown to outperform conventional processing units both in terms of giga-operations-per-second (GOPS) and power consumption. This research seeks to establish an effective methodology for implementing high-level ML regression models on FPGAs within edge sensors.Peer reviewe

Future Sales Predictions on Russian Electronics Shops

Speculations about future sales for a given company or store and for given products in those stores have been critical to successful trade going far back in human history. However, until much more recently this was more art than science as the availability of mass sales data was much more limited. Today, we have access to nearly boundless amounts of relevant data and incredible computational tools with which to work with it and to improve upon these speculations. Given the daily historical sales data provided by the Russian firm 1C used in the Kaggle challenge “Predict Future Sales,” we seek to improve on existing sales predictions across items and stores that may or may not be chains. This dataset provides information about many individual store locations as well as 11 fields for products and sales per shop per day from January 2013 to October 2015. To this end, we will use the statistical software R and possibly machine learning methods to generate a month’s worth of sales predictions ahead of store restocking. We will identify common patterns across stores such as sales data for the same or similar product as well as attempting to identify yearly trends in sales. As it is a Russian dataset, we will seek to overcome lingual and cultural barriers faced by international data scientists in industry as we pursue this goal

SEDP-2014-05

In this study we elicit agents' prior information set regarding a public good, exogenously give information treatments to survey respondents and subsequently elicit willingness to pay for the good and posterior information sets. The design of this field experiment allows us to perform theoretically motivated hypothesis testing between different updating rules: non-informative updating, Bayesian updating, and incomplete updating. We find causal evidence that agents imperfectly update their information sets. We also field causal evidence that the amount of additional information provided to subjects relative to their pre-existing information levels can affect stated WTP in ways consistent overload from too much learning. This result raises important (though familiar) issues for the use of stated preference methods in policy analysis

USS FITZGERALD COLLISION: MIDSHIPMEN CASE STUDY

Naval Academy Midshipmen spend four years in a comprehensive program of moral, mental, and physical development meant to mold them into Navy and Marine Corps officers ready to lead in combat. This program includes critical summer training periods where Midshipmen embark with Navy ships and Fleet Marine Force units around the globe to gain hands-on experience with operational units. But what happens when Midshipmen are put in a dangerous situation in the Fleet before they commission? Are they prepared or expected to act, and how does this influence their development? Based on six semi-structured interviews, this thesis details a case study from the point of view of the half of the 12 Midshipmen onboard USS Fitzgerald during the 2017 collision off the coast of Japan that killed seven Sailors. Many case studies and investigations have been written about the USS Fitzgerald collision from the point of view of the crew involved, but the Midshipmen who were on board at the time have yet to be considered. The lessons learned from this traumatic experience can be utilized to improve preparations and training for all current and future Midshipmen as they take leadership classes and execute summer training with operational forces.Distribution Statement A. Approved for public release: Distribution is unlimited.Lieutenant, United States NavyLieutenant, United States NavyLieutenant, United States Nav

Prospectus, February 18, 1998

https://spark.parkland.edu/prospectus_1998/1005/thumbnail.jp