Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, 2021 American University in Cairo
Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef
Theses and Dissertations
Stock market manipulation detection is important for both investors and regulators. Being able to detect stock manipulation and preventing it gives investors the confidence in the market fairness and integrity. It also helps maintaining liquidity of the stocks and market efficiency. Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. The benefit of monitoring manipulative trade behavior is that it can be implemented on live feed of stock data, which saves a lot of time in detecting stock ...
Dependencyvis: Helping Developers Visualize Software Dependency Information, 2021 California Polytechnic State University, San Luis Obispo
Dependencyvis: Helping Developers Visualize Software Dependency Information, Nathan Lui
Silicon Valley 2.0, 2021 DePaul University
Silicon Valley 2.0
In The Loop
The DePaul Innovation Development Lab is a collaborative ecosystem that joins business and academia in mutually beneficial, experimental enterprise. Students work in the techcentric think tank and consultancy that turns business problems into functional, testable software prototypes.
Quantifying The Benefits Of A Collaborative Supply Chain Network Using A Discrete-Time Vehicle Routing Model, 2021 University of Arkansas, Fayetteville
Quantifying The Benefits Of A Collaborative Supply Chain Network Using A Discrete-Time Vehicle Routing Model, Matthew Walters
Industrial Engineering Undergraduate Honors Theses
The transportation industry contributed around one trillion dollars to the economy in 2016 accounting for 8.9% percent of the GDP. In 2017, it was responsible for 1.5 billion tons of CO2 emissions. With the American Trucking agency predicting a 35% growth in the trucking industry between 2016 and 2027, there are rising concerns about the impact the trucking industry will have on the economy and the environment. The trucking industry is also very inefficient with many trucks driving with empty loads or with less than full capacity loads. There is potential to save billions of dollars and ...
Modern Methods Of Testing And Information Security Problems In Iot, 2021 Tashkent University of Information Technologies
Modern Methods Of Testing And Information Security Problems In Iot, Halim Khujamatov, Ernazar Reypnazarov, Amir Lazarev
Bulletin of TUIT: Management and Communication Technologies
This article analyzes the technology of the internet of things, ie its architecture, communication standards, threats to security and safety, methods and types of testing devices of the internet of things. In short, the architectures proposed by ITU-T and IWF, IEEE standards for Internet of Things, LPWAN standards, four levels of security (devices/gateways, network/transport, services and applications), components according to test methods, performance, loading, security, etc.
Coding Club, 2021 University of Nebraska - Lincoln
Coding Club, Nicole Livingston, Madalyn Meyer
Honors Expanded Learning Clubs
Lesson plans for an about 12-week club designed to introduce middle schoolers to coding using Scratch. By the end of the club, every student will have made a game they can share with the class and have learned basic coding and game creation tools. Students can also miss classes or join late and still be able to join and enjoy the club with a different focus lesson every week.
Adaptive Load Balanced Routing In Iot Networks: A Distributed Learning Approach, 2021 University of Human Development
Adaptive Load Balanced Routing In Iot Networks: A Distributed Learning Approach, Rzgar Sirwan, Muzhir Ani
Facilitating large-scale load-efﬁcient Internet of things (IoT) connectivity is a vital step toward realizing the networked society. Although legacy wide-area wireless systems are heavily based on network-side coordination, such centralized methods will become infeasible in the future, by the unbalanced signaling level and the expected increment in the number of IoT devices. In the present work, this problem is represented through self-coordinating for IoT networks and learning from past communications. In this regard, ﬁrst, we assessed low-complexity distributed learning methods that can be applied to IoT communications. We presented a learning solution then, for adapting devices’ communication parameters to the ...
Application Of The Cluster Classification Data Mining Method To Child Illiteracy In Indonesia, 2021 Universitas Muria Kudus
Application Of The Cluster Classification Data Mining Method To Child Illiteracy In Indonesia, Muhammad Arifin, Gita Widi Bhawika, M.A. Muazar Habibi, Winci Firdaus, Danu Eko Agustinova, Robbi Rahim
Library Philosophy and Practice (e-journal)
The objective of this study is to cluster and classify data using a combination of the k-means and C4.5 methods. The process involves clustering and subsequent classification. The classification process uses k-folds = 10 and samples = stratified sampling. In this study, analphabets in Indonesia of a minimum age of 15 years (15+) were evaluated. The data are the percentage of analogs between 2017 and 2019. The dataset was obtained from https://www.bps.go.id and is accessible at https://osf.io/crwug. In this study, the Davies Bouldin index (DBI) was used to determine the number of clusters with ...
A Dynamic Programming Approach To Determine Optimum Modularity Level In Industrial Packaging, Marshal Louie, Kumar B
Journal of Applied Packaging Research
Modular packaging facilitate customization for accommodating variable product sizes in a product family. When determining package sizes for product variability, packaging engineers does not find difficulty to determine package dimension for less product variety whereas if the product variety is more, then determining the dimension of modular package involves complex decision-making and time-consuming process to find the optimal solution. This in turn directly impacts the overall lead time of the supply chain. Thus, in this paper a dynamic programming is developed to determine the quantity and dimension of modular packages for every demand of assorted products sizes. The program helps ...
Mobile Application Development For University Library Services (Case Study: Library Of Uin Sunan Ampel Surabaya), 2021 UIN Sunan Ampel Surabaya
Mobile Application Development For University Library Services (Case Study: Library Of Uin Sunan Ampel Surabaya), Heri Cahyo Bagus, Firza Hardy Nugraha, Ilham M.Said, Yusuf Amrozy
Library Philosophy and Practice (e-journal)
This study was conducted to develop library services at UIN Sunan Ampel Surabaya by developing a system using the Rapid Application Development (RAD) method and the Mobile Library. This is done to complement the website services which can be accessed through catalog.uinsby.ac.id. Many users, especially students, experience restlessness in returning the book because there is no reminder feature for the deadline to return the book. As well as resulting in the number of fines that increase in number for each day. The purpose of this research is to make users more free to use the library services ...
Unsupervised Data Mining Technique For Clustering Library In Indonesia, 2021 Universiti Malaysia Perlis
Unsupervised Data Mining Technique For Clustering Library In Indonesia, Robbi Rahim, Joseph Teguh Santoso, Sri Jumini, Gita Widi Bhawika, Daniel Susilo, Danny Wibowo
Library Philosophy and Practice (e-journal)
Organizing school libraries not only keeps library materials, but helps students and teachers in completing tasks in the teaching process so that national development goals are in order to improve community welfare by producing quality and competitive human resources. The purpose of this study is to analyze the Unsupervised Learning technique in conducting cluster mapping of the number of libraries at education levels in Indonesia. The data source was obtained from the Ministry of Education and Culture which was processed by the Central Statistics Agency (abbreviated as BPS) with url: bps.go.id/. The data consisted of 34 records where ...
A Single-Stage Passive Vibration Isolation System For Scanning Tunneling Microscopy, 2021 California Polytechnic State University, San Luis Obispo
A Single-Stage Passive Vibration Isolation System For Scanning Tunneling Microscopy, Toan T. Le
Scanning Tunneling Microscopy (STM) uses quantum tunneling effect to study the surfaces of materials on an atomic scale. Since the probe of the microscope is on the order of nanometers away from the surface, the device is prone to noises due to vibrations from the surroundings. To minimize the random noises and floor vibrations, passive vibration isolation is a commonly used technique due to its low cost and simpler design compared to active vibration isolation, especially when the entire vibration isolation system (VIS) stays inside an Ultra High Vacuum (UHV) environment. This research aims to analyze and build a single-stage ...
Parking Recommender System Privacy Preservation Through Anonymization And Differential Privacy, Yasir Saleem Shaikh, Mubashir Husain Rehmani, Noel Crespi, Roberto Minerva
Recent advancements in the Internet of Things (IoT) have enabled the development of smart parking systems that use services of third-party parking recommender system to provide recommendations of personalized parking spot to users based on their past experience. However, the indiscriminate sharing of users’ data with an untrusted (or semitrusted) parking recommender system may breach the privacy because users’ behavior and mobility patterns could be inferred by analyzing their past history. Therefore, in this article, we present two solutions that preserve privacy of users in parking recommender systems while analyzing the past parking history using k-anonymity (anonymization) and differential privacy ...
Performance Of Single Board Computers For Vision Processing, 2021 United States Military Academy
Performance Of Single Board Computers For Vision Processing, Curtis Manore Cdt'21, Pratheek Manjunath, Dominic Larkin
West Point Research Papers
With the increasing complexity of machine vision algorithms and growing applications of image processing, how do computers without a dedicated graphics processor perform? This research discusses the computational abilities of two lowcost single board computers (SBCs) by subjecting them to various Visual Inertial Odometry (VIO) algorithms. The end goal of this research is to identify a SBC which meets the requirements of being employed on an Unmanned Aerial System for autonomous navigation.
Price Optimization For Revenue Maximization At Scale, 2021 Southern Methodist University
Price Optimization For Revenue Maximization At Scale, Nikhil Gupta, Massimiliano Moro, Kailey A. Ayala, Bivin Sadler
SMU Data Science Review
This study presents a novel approach to price optimization in order to maximize revenue for the distribution market of non-perishable products. Data analysis techniques such as association mining, statistical modeling, machine learning, and an automated machine learning platform are used to forecast the demand for products considering the impact of pricing. The techniques used allow for accurate modeling of the customer’s buying patterns including cross effects such as cannibalization and the halo effect. This study uses data from 2013 to 2019 for Super Premium Whiskey from a large distributor of alcoholic beverages. The expected demand and the ideal pricing ...
Inclusive Access For All, 2021 University of Nebraska - Lincoln
Inclusive Access For All, Marcia Dority Baker, Jaci Lindburg
Publications from Information Technology Services
Inclusive Access provides a framework for digital course material delivered via the learning management system (LMS) day-one to students. This platform assists instructors with selecting current, quality, affordable material, and supports learning analytics by providing engagement data in Canvas. The University of Nebraska Provost office has funded an initial series of grants to support open educational resources (OER) initiatives at the Lincoln, Kearney, and Omaha campuses for several years. The vast majority of these dollars went to incentivize faculty in the adoption of OER. The OER and Inclusive Access pilots are ready to mature into a service supported by Academic ...
Vowel Harmony Viewed As Error-Correcting Code, 2021 University of Hamburg, Germany
Vowel Harmony Viewed As Error-Correcting Code, Yvo Meeres, Tommi A. Pirinen
Proceedings of the Society for Computation in Linguistics
Robustness reduces the risk of information loss. At present the notion of error-correcting codes (ECCs) is used to achieve robustness in technical fields only. Viewing fault-tolerant natural systems as systems equipped with error-correcting codes permits a formal comparison of natural and technical robustness.
Instancing natural language (NL), we show differences in technical and natural error-correcting approaches. By picking a specific grammar phenomenon which some NLs exhibit – vowel harmony (VH) – we show that (1) VH can be formalized as an ECC as well as (2) VH adds to the robustness of its NL. We provide empirical as well as formal evidence ...
Water Surfaces Detection From Sentinel-1 Sar Images Using Deep Learning, 2021 Central Washington University
Water Surfaces Detection From Sentinel-1 Sar Images Using Deep Learning, Chao Huang Lin
All Master's Theses
Nowadays, Synthetic Aperture Radar (SAR) images have been widely used in the industry and the scientific community for different remote sensing applications. The main advantage of SAR technology is that it can acquire images from nighttime since it does not require sunlight. Additionally, it can capture images under the cloud where the traditional optical sensor is limited. It is very convenient to use SAR image for surface water detection because the flatness of the calm water surface reflects off all the energy from the radar and this makes the surface water appears in a SAR image as dark pixels. The ...
Support To Design For Air Traffic Management: An Approach With Agent-Based Modelling And Evolutionary Search, 2021 CIRA (Italian Aerospace Research Centre)
Support To Design For Air Traffic Management: An Approach With Agent-Based Modelling And Evolutionary Search, Gabriella Gigante, Roberto Palumbo, Domenico Pascarella, Alessandro Pellegrini, Gabriella Duca, Miquel Angel Piera, Juan José Ramos
International Journal of Aviation, Aeronautics, and Aerospace
This paper presents a methodology to manage the support to design in ATM operations. We propose a workflow for the design of ATM solutions in a performance-based setting. The methodology includes the evaluation of the impact on human behaviour and exploits a combination of different paradigms, such as Agent-Based Modelling and Simulation, and Agent-Based Evolutionary Search. We prove the soundness of the methodology by carrying out a real case study, which is the transition from Direct Routing to Free Routing in the Italian airspace. The validation results exhibit limited errors for the assessment of the performance metrics under evaluation. Furthermore ...
Review Of Forecasting Univariate Time-Series Data With Application To Water-Energy Nexus Studies & Proposal Of Parallel Hybrid Sarima-Ann Model, Cory Sumner Yarrington
Graduate Theses, Dissertations, and Problem Reports
The necessary materials for most human activities are water and energy. Integrated analysis to accurately forecast water and energy consumption enables the implementation of efficient short and long-term resource management planning as well as expanding policy and research possibilities for the supportive infrastructure. However, the integral relationship between water and energy (water-energy nexus) poses a difficult problem for modeling. The accessibility and physical overlay of data sets related to water-energy nexus is another main issue for a reliable water-energy consumption forecast. The framework of urban metabolism (UM) uses several types of data to build a global view and highlight issues ...