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College Of Engineering Senior Design Competition Fall 2017, University Of Nevada, Las Vegas Dec 2017

College Of Engineering Senior Design Competition Fall 2017, University Of Nevada, Las Vegas

Fred and Harriet Cox Senior Design Competition Projects

Part of every UNLV engineering student’s academic experience, the senior design project stimulates engineering innovation and entrepreneurship. Each student in their senior year chooses, plans, designs, and prototypes a product in this required element of the curriculum. A capstone to the student’s educational career, the senior design project encourages the student to use everything learned in the engineering program to create a practical, real world solution to an engineering challenge. The senior design competition helps focus the senior students in increasing the quality and potential for commercial application for their design projects. Judges from local industry evaluate the projects on …


A Test Driven Approach To Develop Web-Based Machine Learning Applications, Armin Esmaeilzadeh Dec 2017

A Test Driven Approach To Develop Web-Based Machine Learning Applications, Armin Esmaeilzadeh

UNLV Theses, Dissertations, Professional Papers, and Capstones

The purpose of this thesis is to propose the design and architecture of a testable, scalable, and ef-cient web-based application that models and implements machine learning applications in cancer prediction. There are various components that form the architecture of our web-based application including server, database, programming language, web framework, and front-end design. There are also other factors associated with our application such as testability, scalability, performance, and design pattern. Our main focus in this thesis is on the testability of the system while consid- ering the importance of other factors as well.

The data set for our application is a …


Competitive Power Down Methods In Green Computing, James Andro-Vasko Dec 2017

Competitive Power Down Methods In Green Computing, James Andro-Vasko

UNLV Theses, Dissertations, Professional Papers, and Capstones

For the power-down problem one considers a device which has states OFF, ON, and a number of intermediate states. The state of the device can be switched at any time. In the OFF state the device consumes zero energy and in the ON state it works at its full power consumption. The intermediate states consume only some fraction of energy proportional to the usage time but switching back to the ON state has has different constant setup cost depending on the current state. Requests for service (i.e. for when the device has to be in the ON state) are not …


Lock-Free Self-Adjusting Binary Search Tree, Sachiko Sueki Dec 2017

Lock-Free Self-Adjusting Binary Search Tree, Sachiko Sueki

UNLV Theses, Dissertations, Professional Papers, and Capstones

A binary search tree (BST) is a fundamental data structure for maintaining data in a way to allow fast search. As multi-core processors are widely used nowadays, such data structures require the ability to handle concurrent accesses to exploit the concurrent hardware. There are several algorithms on lock-based as well as lock-free BST with and without self-balancing. On the other hand, only a few reports can be found on lock-based self-adjusting BST. To the best of our knowledge, there are no algorithms for lock-free self-adjusting BST. Lock-free guarantees overall progress even if some processes fail, whereas lock-based algorithms fail to …


Improving Pattern Recognition And Neural Network Algorithms With Applications To Solar Panel Energy Optimization, Ernesto Zamora Ramos Aug 2017

Improving Pattern Recognition And Neural Network Algorithms With Applications To Solar Panel Energy Optimization, Ernesto Zamora Ramos

UNLV Theses, Dissertations, Professional Papers, and Capstones

Artificial Intelligence is a big part of automation and with today's technological advances, artificial intelligence has taken great strides towards positioning itself as the technology of the future to control, enhance and perfect automation. Computer vision includes pattern recognition and classification and machine learning. Computer vision is at the core of decision making and it is a vast and fruitful branch of artificial intelligence. In this work, we expose novel algorithms and techniques built upon existing technologies to improve pattern recognition and neural network training, initially motivated by a multidisciplinary effort to build a robot that helps maintain and optimize …


College Of Engineering Senior Design Competition Spring 2017, University Of Nevada, Las Vegas May 2017

College Of Engineering Senior Design Competition Spring 2017, University Of Nevada, Las Vegas

Fred and Harriet Cox Senior Design Competition Projects

Part of every UNLV engineering student’s academic experience, the senior design project stimulates engineering innovation and entrepreneurship. Each student in their senior year chooses, plans, designs, and prototypes a product in this required element of the curriculum. A capstone to the student’s educational career, the senior design project encourages the student to use everything learned in the engineering program to create a practical, real world solution to an engineering challenge. The senior design competition helps focus the senior students in increasing the quality and potential for commercial application for their design projects. Judges from local industry evaluate the projects on …


Degree Constrained Triangulation Of Annular Regions And Point Sites, Bhaikaji Gurung May 2017

Degree Constrained Triangulation Of Annular Regions And Point Sites, Bhaikaji Gurung

UNLV Theses, Dissertations, Professional Papers, and Capstones

Generating constrained triangulations of point sites distributed in the plane is a significant problem in computational geometry. We present theoretical and experimental investigation results for generating triangulations for polygons and point sites that address node degree constraints. We characterize point sites that have almost all vertices of odd degree. We present experimental results on the node degree distribution of Delaunay triangulations of point sites generated randomly. Additionally, we present a heuristic algorithm for triangulating a given normal annular region with an increment of even degree nodes.


Finding Top-K Dominance On Incomplete Big Data Using Map-Reduce Framework, Payam Ezatpoor May 2017

Finding Top-K Dominance On Incomplete Big Data Using Map-Reduce Framework, Payam Ezatpoor

UNLV Theses, Dissertations, Professional Papers, and Capstones

Incomplete data is one major kind of multi-dimensional dataset that has random-distributed missing nodes in its dimensions. It is very difficult to retrieve information from this type of dataset when it becomes huge. Finding top-k dominant values in this type of dataset is a challenging procedure. Some algorithms are present to enhance this process but are mostly efficient only when dealing with a small-size incomplete data. One of the algorithms that make the application of TKD query possible is the Bitmap Index Guided (BIG) algorithm. This algorithm strongly improves the performance for incomplete data, but it is not originally capable …


Deployment Strategies For A Fleet Of Unmanned Aerial Vehicles Providing Cellular And Data Services, Nima Mohseni May 2017

Deployment Strategies For A Fleet Of Unmanned Aerial Vehicles Providing Cellular And Data Services, Nima Mohseni

UNLV Theses, Dissertations, Professional Papers, and Capstones

Wireless voice and data communications have become an essential part of our day to day lives. In order to provide these services to as many people as possible, a great infrastructure has been put in place over the last two decades throughout the world. The current infrastructure is mainly consists of cellular towers with gateways to the telecommunication backbone. The wireless infrastructure is doing an adequate job of providing voice and data services, getting more powerful and efficient every day. However, because wireless infrastructure is mainly based on fixed cell towers, it lacks the flexibility and dynamism that may be …


Advanced Applications Of Big Data Analytics, Sai Phani Krishna Parsa May 2017

Advanced Applications Of Big Data Analytics, Sai Phani Krishna Parsa

UNLV Theses, Dissertations, Professional Papers, and Capstones

Human life is progressing with advancements in technology such as laptops, smart phones, high speed communication networks etc., which helps us by reducing load in doing our daily activities. For instance, one can chat, talk, make video calls with his/her friends instantly using social networking platforms such as Facebook, Twitter, Google+, WhatsApp etc. LinkedIn, Indeed, etc., connects employees with potential employers. The number of people using these applications are increasing day-by-day, and so is the amount of data generated from these applications. Processing such vast amounts of data, may require new techniques for gaining valuable insights. Network theory concepts form …


Deep Learning Implementation For Comparison Of User Reviews And Ratings, Nishit Shrestha May 2017

Deep Learning Implementation For Comparison Of User Reviews And Ratings, Nishit Shrestha

UNLV Theses, Dissertations, Professional Papers, and Capstones

Sentiment Analysis is the task of identifying and classifying the sentiment expressed in a piece of text as of positive or negative sentiment and has wide application in E-Commerce. In present time, most e-commerce websites have product review sections, which can be used to identify customer satisfaction/dissatisfaction for their product. In E-COMMERCE websites such as Amazon.com, E-bay.com etc, consumers can submit their reviews along with a specific polarity rating (e.g. 1 to 5 stars at Amazon.com). There is a possibility of mismatch between review submitted and polarity of rating. For Amazon.com, a customer can submit a strongly positive review but …


High Utility Itemsets Identification In Big Data, Ashish Tamrakar May 2017

High Utility Itemsets Identification In Big Data, Ashish Tamrakar

UNLV Theses, Dissertations, Professional Papers, and Capstones

High utility itemset mining is an important data mining problem which considers profit factors besides quantity from the transactional database. It helps find the most valuable products/items that are difficult to track using only the frequent data mining set. An item that has a high-profit value might be rare in the transactional database despite its tremendous importance. While there are many existing algorithms which generate comparatively large candidate sets while finding high utility itemsets, the major focus is to reduce the computational time significantly with the introduction of pruning strategies. Another aspect of high utility itemset mining is to compute …


Implementation And Analysis Of Communication Protocols In Internet Of Things, Priyanka Thota May 2017

Implementation And Analysis Of Communication Protocols In Internet Of Things, Priyanka Thota

UNLV Theses, Dissertations, Professional Papers, and Capstones

Internet of Things (IoT) is the future of all the present-day devices around the globe. Giving them internet connectivity makes IoT the next frontier of technology. Possibilities are limitless as the devices communicate and interact with each other which make it even more interesting for the global markets. For example, Rolls-Royce announced that it would use the Microsoft Azure IoT suite and also the Intelligence suite of Cortana to keep track of the fuel usage, for performance analysis, to optimize the fly routes etc. which improves the airline efficiency. The devices must communicate with each other, the data from these …


Non-Blocking Priority Queue Based On Skiplists With Relaxed Semantics, Ashok Adhikari May 2017

Non-Blocking Priority Queue Based On Skiplists With Relaxed Semantics, Ashok Adhikari

UNLV Theses, Dissertations, Professional Papers, and Capstones

Priority queues are data structures that store information in an orderly fashion. They are of tremendous importance because they are an integral part of many applications, like Dijkstra’s shortest path algorithm, MST algorithms, priority schedulers, and so on.

Since priority queues by nature have high contention on the delete_min operation, the design of an efficient priority queue should involve an intelligent choice of the data structure as well as relaxation bounds on the data structure. Lock-free data structures provide higher scalability as well as progress guarantee than a lock-based data structure. That is another factor to be considered in the …


Scalability Analysis Of Blockchains Through Blockchain Simulation, Sneha Goswami May 2017

Scalability Analysis Of Blockchains Through Blockchain Simulation, Sneha Goswami

UNLV Theses, Dissertations, Professional Papers, and Capstones

The past decade has witnessed a surge of cryptocurrencies such as bitcoins, litecoin, dogecoin, peercoin, bitcoin being the most popular amongst them. Enthusiasts and skeptics have debated and come up with disparate opinions to contest both the success and failures of such currencies. However, the veracity of such opinions can only be derived after true analysis of the technological breakthroughs that have occurred in this domain. Blockchains being the backbone of such currencies is a broad subject that encompasses economics, law, cryptography and software engineering. Most of these technologies are decentralized and are open source algorithms. Blockchains popularity is largely …


Survey And Analysis Of Android Authentication Using App Locker, Akshitha Reddy Chintalaphani May 2017

Survey And Analysis Of Android Authentication Using App Locker, Akshitha Reddy Chintalaphani

UNLV Theses, Dissertations, Professional Papers, and Capstones

Android Smart phones have gained immense popularity over the years and is undoubtedly more popular than other operating system phones. Following the similar lines android wear was introduced. Steadily android wear is making its way into our daily lives. It helps keep track of the sleep you have, helps you reach fitness goals, keeps track of phone and helps users have easy authentication. Due to the usage of smart lock which enables phone to be unlocked as long as connected to the android wear, this leads to almost no security on both the ends as android wear before Android 5.0 …