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2019

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Chasing The Dragon: The Social Construction Of The U.S. Opioid Epidemic, Jennafer Vondal Jan 2019

Chasing The Dragon: The Social Construction Of The U.S. Opioid Epidemic, Jennafer Vondal

Criminal Justice and Political Science

Utilizing a social construction perspective, this study uses a mixed method approach to examine the opioid epidemic. The study begins by identifying the numerous claims-making groups along with conducting a content analysis of the rhetoric and symbols used to legitimize the claims about the opioid epidemic. The data for the content analysis was obtained through a search of the websites, newsrooms, and pressrooms of claims-making groups. Additionally, the study examines and assesses the volume of money that is generated and allocated towards opioid research and prevention in an effort to determine who has more power to influence the policy initiatives. …

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Insulation In Windows Using Resin & Aerogel Mixture, Priyanka Mallikarjun Pujar Jan 2019

Insulation In Windows Using Resin & Aerogel Mixture, Priyanka Mallikarjun Pujar

Construction Management and Engineering

Insulation materials are essential in building construction; this study proposed to use one such material called silica aerogel, which is known for its excellent thermal properties, and a UV acrylate resin that has been formulated to mix with the aerogel. In this experiment, existing methods of aerogel insulation are discussed and a novel method is investigated. U- value and R- values were obtained by LHICD (i.e., Laser Heating Infrared Camera Detecting method), and K - values were calculated using an equation for 0%, 22.5% and 45% volume of aerogel. The study suggests that using aerogel and resin coating on windows …

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Software Inspection Tool For Defects Classification On Requirement Documents Using Collaborative Approach, Ishan Mani Subedi Jan 2019

Software Inspection Tool For Defects Classification On Requirement Documents Using Collaborative Approach, Ishan Mani Subedi

Computer Science

Software inspection is a process to minimize or eradicate defects throughout the entire software lifecycle which in turn helps to create and maintain quality products. While inspections are effective, it is often done manually and is time-consuming and tedious. To address this problem, this paper developed the "Software Inspection Tool" that can be used for identifying and detecting defects in software artefacts during the inspection process. The tool is based on the Model(M), View(V) and Controller(C) architecture and uses modern web infrastructure like Amazon Web Services (AWS) for data storage, hosting and cloud computing. Representational State Transfer (REST) has been …

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Detecting Insider And Masquerade Attacks By Identifying Malicious User Behavior And Evaluating Trust In Cloud Computing And Iot Devices, Krishna Kanth Kambhampaty Jan 2019

Detecting Insider And Masquerade Attacks By Identifying Malicious User Behavior And Evaluating Trust In Cloud Computing And Iot Devices, Krishna Kanth Kambhampaty

Computer Science

There are a variety of communication mediums or devices for interaction. Users hop from one medium to another frequently. Though the increase in the number of devices brings convenience, it also raises security concerns. Provision of platform to users is as much important as its security. In this dissertation we propose a security approach that captures user behavior for identifying malicious activities. System users exhibit certain behavioral patterns while utilizing the resources. User behaviors such as device location, accessing certain files in a server, using a designated or specific user account etc. If this behavior is captured and compared with …

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Incorporating Sliding Window-Based Aggregation For Evaluating Topographic Variables In Geographic Information Systems, Rahul Gomes Jan 2019

Incorporating Sliding Window-Based Aggregation For Evaluating Topographic Variables In Geographic Information Systems, Rahul Gomes

Computer Science

The resolution of spatial data has increased over the past decade making them more accurate in depicting landform features. From using a 60m resolution Landsat imagery to resolution close to a meter provided by data from Unmanned Aerial Systems, the number of pixels per area has increased drastically. Topographic features derived from high resolution remote sensing is relevant to measuring agricultural yield. However, conventional algorithms in Geographic Information Systems (GIS) used for processing digital elevation models (DEM) have severe limitations. Typically, 3-by-3 window sizes are used for evaluating the slope, aspect and curvature. Since this window size is very small …

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Evaluating The Usability Of Collaboration Tool For Software Inspection Process, Mounisha Kasireddy Jan 2019

Evaluating The Usability Of Collaboration Tool For Software Inspection Process, Mounisha Kasireddy

Computer Science

To develop a good software product, the first and foremost step to master is creating complete and accurate software requirements specification document. Requirements documents are created from through research and are documented for inspection. The inspection team work on finding defects at an early stage, to avoid defects passed on to design team, reduce software development time and improve the product quality. Inspection process, when done in conventional method is labor intensive, cost ambitious and takes overwhelming time. But the benefits of inspection outweigh the difficulties. Software Collaboration tool is one such tool to improve inspection process, help produce complete …

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Exploring Frameworks For Rapid Visualization Of Viral Proteins Common For A Given Host, Rajesh Subramaniam Jan 2019

Exploring Frameworks For Rapid Visualization Of Viral Proteins Common For A Given Host, Rajesh Subramaniam

Computer Science

Viruses are unique organisms that lack the protein machinery necessary for its propagation (like polymerase) yet possess other proteins that facilitate its propagation (like host cell anchoring proteins). This study explores seven different frameworks to assist rapid visualization of proteins that are common to viruses residing in a given host. The proposed frameworks rely only on protein sequence information. It was found that the sequence similarity-based framework with an associated profile hidden Markov model was a better tool to assist visualization of proteins common to a given host than other proposed frameworks based only on amino acid composition or other …

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The Design Of Virtual Reality Based Data Visualization And User Interface Design In A Semi-Automated Cyber-Security Research Application, Santipab Tipparach Jan 2019

The Design Of Virtual Reality Based Data Visualization And User Interface Design In A Semi-Automated Cyber-Security Research Application, Santipab Tipparach

Computer Science

Virtual Reality is currently an affordable and consumer ready technology used by many in the games and interactive media industry, however unlike the user interface standards in mobile, PCs, and Macs, VR UI design can vary in complexity and usability. VR has many times been linked in films, TV shows, and animation as a method for navigating through cyberspace. It has been portrayed to be involved in the process of hacking a computer on some network. This study will look at approaches to developing a UI system using cyber-security research applications as a basis for designing a framework. Throughout, this …

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A Petri Net Based Simulation For Multiple Unmanned Aerial Vehicles, Puneet Mehta Jan 2019

A Petri Net Based Simulation For Multiple Unmanned Aerial Vehicles, Puneet Mehta

Computer Science

Nowadays more and more Unmanned Aerial Vehicles (UAVs) are being mass produced and are being used for a lot of activities like exploring never before explored areas of the world, recreational work, rescue missions etc. In today’s world violence and attacks have increased and to have personnel in such extreme places will always result in loss of life. To help reduce the loss of lives in situations like this we can use these Unmanned Aerial Vehicles to sweep the affected areas and also attack identified targets. The objective of my study is to create a simulation where multiple UAVs can …

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Image Processing For White Line Detection In A Grassy Field, Rodi Murad Jan 2019

Image Processing For White Line Detection In A Grassy Field, Rodi Murad

Computer Science

Image processing for object detection and decision making based on the observed remains a challenge today. As participants in the Intelligent Ground Vehicle Competition in 2018 and 2019, we were tasked to build an autonomous vehicle capable of maneuvering through a grassy course delineated with white lines and laid out with obstacles. To remain within the white line boundaries, we used OpenCV and Python for image processing and white line detection. To accomplish the task, we used image processing techniques such as image filtering, blurring, and edge detection. Although this algorithm was produced for the specific application of detection edges …

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Using Machine Learning And Graph Mining Approaches To Improve Software Requirements Quality: An Empirical Investigation, Maninder Singh Jan 2019

Using Machine Learning And Graph Mining Approaches To Improve Software Requirements Quality: An Empirical Investigation, Maninder Singh

Computer Science

Software development is prone to software faults due to the involvement of multiple stakeholders especially during the fuzzy phases (requirements and design). Software inspections are commonly used in industry to detect and fix problems in requirements and design artifacts, thereby mitigating the fault propagation to later phases where the same faults are harder to find and fix. The output of an inspection process is list of faults that are present in software requirements specification document (SRS). The artifact author must manually read through the reviews and differentiate between true-faults and false-positives before fixing the faults. The first goal of this …

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Using Cyberlearning Environment To Improve Student’S Learning And Engagement In Introductory Computer Programming Courses, Mourya Reddy Narasareddy Gari Jan 2019

Using Cyberlearning Environment To Improve Student’S Learning And Engagement In Introductory Computer Programming Courses, Mourya Reddy Narasareddy Gari

Computer Science

All Computer Science majors are required to take introductory programming (CS1) as a fundamental course which has a high dropout rate. Researchers report that CS1 students lack motivation and need constant resource support. Motivated by these factors, we developed a cyberlearning environment embedded with learning engagement strategies such as Collaborative Learning, Social Interaction and Gamification. The purpose of research is to investigate the impact the cyberlearning environment had on student acquisition of programming concepts. I conducted a series of studies to empirically validate these learning engagement strategies in the context of student learning outcomes. The results of my dissertation have …

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A Smartphone-Based Pointing Technique In Cross-Device Interaction, Juechen Yang Jan 2019

A Smartphone-Based Pointing Technique In Cross-Device Interaction, Juechen Yang

Computer Science

In this paper, the author develops a novel cross-device cursor position estimation system for transferring a mobile device’s four-direction 2D movement to a cursor’s four-direction movement on a large display device; this is achieved through the use of sound-source localization and machine-learning algorithms. This system is implemented in two steps. First, the system starts the cursor’s position initialization by taking advantage of the theory of soundsource localization. Second, the system transfers the mobile device’s movement to the cursor’s movement by means of a machine-learning model. This newly developed system improves usability of cross-device applications by offering intuitive 2D move gesture …

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Investigation Of Strength Pareto Evolutionary Algorithm, Madhumitha Kakarlapudi Jan 2019

Investigation Of Strength Pareto Evolutionary Algorithm, Madhumitha Kakarlapudi

Computer Science

The Strength Pareto Evaluation Algorithm (SPEA) (Zitzler and Thiele 1999) is one of the prominent technique for approximating the pareto-optimal set for the Multiple Objective Optimization (MOO) algorithm. The Strength Pareto Evaluation Algorithm 2 (SPEA2) is an improved version of SPEA that was introduced in the year 2001. SPEA2 in contrast to SPEA incorporates a fine-grained fitness assignment strategy, an improved archive truncation technique, and a density assessment procedure. In this paper, we studied the influence of the optimization ability of SPEA2 on different benchmark functions by evaluating different performance metrics. The benchmark functions used in the paper include 10 …

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Enumeration Of Dense Modules In Networks, Yashwanth Goud Durgapathi Jan 2019

Enumeration Of Dense Modules In Networks, Yashwanth Goud Durgapathi

Computer Science

To analyze large networks in various research fields including biology, sociology, and web mining, detection of dense modules (a.k.a. clusters) is a crucial step. Though numerous methods have been proposed to this aim, they often lack mathematical rigor. Namely, there is no guarantee that all dense modules are detected. Here, a novel method for enumerating all dense modules is presented as well as a python program implementing this algorithm. Module detection plays a significant role in variety of modern systems to understand their functionality in depth for example in Biology. In Biology many data bases for the protein-protein interactions are …

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Mobile Diabetes Application, Anusha Myneedi Jan 2019

Mobile Diabetes Application, Anusha Myneedi

Computer Science

In recent years, Diabetes is becoming a serious health challenge. The prevalence of diabetes has increased with accompanying increases in body weight and diminished physical activity and with increased automation. Effective blood glucose control is essential to maintain good health. However, to monitor blood glucose levels regularly one should go to healthcare center and it’s not possible because of all manner of real time interfaces. To ease this process in this paper, we propose an interactive self-management mobile application where you can monitor Blood Glucose and Blood Pressure values and check all your health-related activities regularly. MobiDiaBTs keeps track of …

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User-Behavior Trust Modeling In Cloud Security, Maryam Alruwaythi Jan 2019

User-Behavior Trust Modeling In Cloud Security, Maryam Alruwaythi

Computer Science

With the cloud computing increasing in popularity by providing a massive number of services such as recourses and data center, the number of attacks is increasing. Security is a basic concern in cloud computing, and threats can occur both internally and externally. Users can access the cloud infrastructure for software, operating systems, and network infrastructure provided by the cloud service providers (CSPs). Evaluating users’ behavior in the cloud-computing infrastructure is becoming more important for both cloud users (CSs) and the CSPs that must ensure safety for users accessing the cloud. Because user authentication alone is not enough to ensure the …

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Predictive Performance Evaluation Of Different Neural Networks Using Stock Prices, Deepika Nyavanandi Jan 2019

Predictive Performance Evaluation Of Different Neural Networks Using Stock Prices, Deepika Nyavanandi

Computer Science

Forecasting stock market prices has been a challenging task due to its volatile nature and nonlinearity. Recently, artificial neural networks (ANNs) have become popular in solving a variety of scientific and financial problems including stock market price forecasting. ANNs have the ability to capture the underlying nonlinearity and complex relationship between the dependent and independent variables. This paper aims to compare the performance of various neural networks including Feed Forward Neural Networks (FNN), Vanilla Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM) neural networks by forecasting stock market prices of three different companies. Empirical results show that the LSTM …

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Dissertation Calculator Tool For Tracking And Managing Dissertation Progress For Graduate Students, Bat-Od Bat-Otgon Jan 2019

Dissertation Calculator Tool For Tracking And Managing Dissertation Progress For Graduate Students, Bat-Od Bat-Otgon

Computer Science

Dissertation Calculator is a tool for graduate students who are working towards their graduate degree at North Dakota State University to manage and track their dissertation progress. It is also a communication and feedback tool between students and their advisers. It was developed using ASP.NET Core Framework. This project is based on Model-View-Controller and Client-Server model. There are 3 different stakeholders which are student, adviser, and admin so each user has a different view. All the information that is created, modified, and deleted by the users is stored on a database and the host application manages the access to it …

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Scalable Particle Swarm Optimization And Differential Evolution Approaches Applied To Classification, Jamil Al-Sawwa Jan 2019

Scalable Particle Swarm Optimization And Differential Evolution Approaches Applied To Classification, Jamil Al-Sawwa

Computer Science

Applying the nature-inspired methods in the data mining area has been gaining more attention by researchers. Classification is one of the data mining tasks which aims to analyze historical data by discovering hidden relationships between the input and the output that would help to predict an accurate outcome for an unseen input. The classification algorithms based on nature-inspired methods have been successfully used in numerous applications such as medicine and agriculture. However, the amount of data that has been collected or generated in these areas has been increasing exponentially. Thus, extracting useful information from large data requires computational time and …

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An Interactive System For Cow Herd Performance, Naqib Hossain Jan 2019

An Interactive System For Cow Herd Performance, Naqib Hossain

Computer Science

This paper explores the application-development phases for the Cow Herd Appraisal of Performance System (CHAPS). In 1985, North Dakota State University’s Dickinson Research Extension Center and the North Dakota Beef Cattle Improvement Association (NDBCIA) developed CHAPS as a management tool for cow producers. This was phase 1 development for the CHAPS application. CHAPS was initially built as a Microsoft Disk Operating System (MS-DOS) program. In phase 2, CHAPS was converted from MS-DOS to a desktop application. The desktop application was named CHAPS 2000. The desktop application lacks modern features, produces error-prone reports, etc. In 2013, North Dakota State University’s Dickinson …

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K-Anonymization Implementation Using Apache Spark, Pratik Tortikar Jan 2019

K-Anonymization Implementation Using Apache Spark, Pratik Tortikar

Computer Science

This experiment attempts on data which can reveal a person’s identity to anonymize with k-1 anonymity principle. "Given person-specific field-structured data, produce a release of the data with scientific guarantees that the individuals who are the subjects of the data cannot be re-identified while the data remain practically useful”. The attempt to value the sensitivity and meaningful information with huge amount of data concerning privacy-preserving techniques are maintained to overcome fears with everyone’s delicate data. With this paper, we study the k-anonymity principle algorithm in the context of big data, and introduce a top-down k-anonymization, L-diversity and t-closeness solutions for …

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Diabetes Social Networking App For American Indians, Rachana Gurram Jan 2019

Diabetes Social Networking App For American Indians, Rachana Gurram

Computer Science

Chronic disease effects health and quality of living largely. Social networking can initiate the onset of pathology and serve as direct cause for several chronic and non-communicable diseases. Technology has the potential to create true collaborative care among multiple providers in healthcare systems and social media can serve as virtual office. Social networks can be used to build relationships between patients and their families to extend health care and support beyond traditional points of service like hospitals, clinics to the home, schools, communities. Social networks can be used to reach patients and providers to gather information and leverage collaboration between …

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Ma 220 Supplement: Applied Calculus For Business & Life Sciences, Heather P. Lippert, Jan S. Collins Jan 2019

Ma 220 Supplement: Applied Calculus For Business & Life Sciences, Heather P. Lippert, Jan S. Collins

OER Main

The MA220 Supplement workbook is designed to support the concepts learned in MA220. There are business and life science applications for students majoring in business and/or life science. The MA220 supplement supports, but does not replace the textbook required for the MA220 course.

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Basic Cybersecurity Awareness Through Gaming, Vikas Krishnarao Kulkarni Jan 2019

Basic Cybersecurity Awareness Through Gaming, Vikas Krishnarao Kulkarni

Computer Science

The goal of this paper is to bring the basic awareness of cybersecurity among students so that they do not become a victim of cybercrime. Studies show that cybersecurity serious games support multiple well-established perspectives of learning and have the potential to motivate individuals to learn by keeping them in a state of flow. Educators use the Bloom’s revised taxonomy, as it provides an effective method for the students who are learning a topic. Bloom's revised taxonomy identifies six cognitive levels, starting from basic steps in learning to the more advances steps. This paper includes developing a game called DodgeTheThreats …

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Application Of Memory-Based Collaborative Filtering To Predict Fantasy Points Of Nfl Quarterbacks, Dienul Haq Ambeg Paramarta Jan 2019

Application Of Memory-Based Collaborative Filtering To Predict Fantasy Points Of Nfl Quarterbacks, Dienul Haq Ambeg Paramarta

Computer Science

Subjective expert projections have been traditionally used to predict points in fantasy football, while machine prediction applications are limited. Memory-based collaborative filtering has been widely used in recommender system domain to predict ratings and recommend items. In this study, user-based and item-based collaborative filtering were explored and implemented to predict the weekly statistics and fantasy points of NFL quarterbacks. The predictions from three seasons were compared against expert projections. On both weekly statistics and total fantasy points, the implementations could not make significantly better predictions than experts.However, the prediction from the implementation improved the accuracy of other regression models when …

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Automated Detection Of Acute Leukemia Using K-Means Clustering Algorithm, Minakshi Arya Jan 2019

Automated Detection Of Acute Leukemia Using K-Means Clustering Algorithm, Minakshi Arya

Computer Science

Detection of ALL can be done through the analysis of white blood cells (WBCs) called leukocytes. Usually, the analysis of blood cells is performed manually by skilled operators, have numerous drawbacks, such as slow analysis, a non-standard accuracy and skill of the operator. Hence many automated systems are using in order to analyze and classify the blood cells. This paper focuses on an automatic system based on image processing algorithms for the classification of blood cells for detection of Acute Lymphocytic Leukemia (ALL). Experiments were ran using 20 models with PCA and seven models namely Medium KNN, Coarse KNN, Cosine …

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Multi Feature Cbir Model For Trademark Image Distinctiveness, Pratima Soni Jan 2019

Multi Feature Cbir Model For Trademark Image Distinctiveness, Pratima Soni

Computer Science

A Content-Based Image Retrieval (CBIR) system can help in detecting trademark infringement. This paper describes an improvement and extension of previous work for the existing Universal Model for a CBIR system, which only uses texture along with color to produce a reliable and capable system. To enhance the security and efficiency of the CBIR based Universal Model, the extension is a Multi Feature CBIR Model that can utilize many parameters including color, texture, and shape with the facility of choosing a suitable and flexible set of features. The supported selection techniques give priority to individual features and help increase the …

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Breast Cancer Diagnosis Using Different Machine Learning Techniques, Souradip Roy Jan 2019

Breast Cancer Diagnosis Using Different Machine Learning Techniques, Souradip Roy

Computer Science

Cancer is one of the dangerous diseases which causes many deaths each year and breast cancer being one of them which is quite common among women. In today’s time 12 percent of the women can develop breast cancer over her course of lifetime. There are two kinds of tumors that can be found in women, they are benign and malignant. The former is considered non-cancerous while the latter is deadly. In this work we applied different machine learning models and did a comparative study to see which one performs better in predicting unseen data to be benign or malignant. The …

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Evaluating Sliding Window Multi-Scalar Analysis Importance On Land Use Classification From Satellite Remote Sensing Data, Dawit Mekonnen Beshah Jan 2019

Evaluating Sliding Window Multi-Scalar Analysis Importance On Land Use Classification From Satellite Remote Sensing Data, Dawit Mekonnen Beshah

Computer Science

Implications of artificial intelligence around the intersection of agricultural technology and satellite remote sensing are only beginning to emerge. One of the application areas in the agriculture sector that can leverage machine learning most immediately is land use classification of remotely sensed data. This research shows that window-based aggregates can help accomplish this task by creating extra layers of information in addition to the original satellite image. Sliding window-based aggregation allows creating these processed data layers efficiently. The results show that adding the processed layers to predictive machine learning models can boost classification accuracy.

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