Digital Commons Network^™

Influence Analysis Based On Political Twitter Data, Jace Rose

Master's Projects

Studies of online behavior often consider how users interact online, their posting behaviors, what they are tweeting about, and how likely they are to follow other people. The problem is there is that no deeper study on the people that a user has interacted with and how these other users affect them. This study examines if it is possible to draw similar sentiment from users with whom the target user has interacted with. The data collection process gathers data from Twitter users posting to popular political hashtags, which the highest at the time published were #MAGA and #TRUMP, as well …

Measurement-Induced Dynamics And Stabilization Of Spinor-Condensate Domain Walls, Hilary M. Hurst, I. B. Spielman

Faculty Research, Scholarly, and Creative Activity

Weakly measuring many-body systems and allowing for feedback in real-time can simultaneously create and measure new phenomena in strongly correlated quantum systems. We study the dynamics of a continuously measured two-component Bose-Einstein condensate (BEC) potentially containing a domain wall, and focus on the trade-off between usable information obtained from measurement and quantum backaction. Each weakly measured system yields a measurement record from which we extract real-time dynamics of the domain wall. We show that quantum backaction due to measurement causes two primary effects: domain wall diffusion and overall heating. The system dynamics and signal-to-noise ratio depend on the choice of …

Role And Support Of Libraries Towards India’S Start-Up And Stand-Up Entrepreneurship Movement Program, Susanta Kumar Khuntia, Manoj Mishra

Library Philosophy and Practice (e-journal)

Now a day’s India is one of the major markets in the world which is still achieved common growth in both print and digital media. It’s start-up and stand-up movement campaigning program is based on the major action plan aimed for promoting sufficient bank finance towards a new start-up ventures to boost and generate entrepreneurship and also to promote start-ups with much more job creation facilities. Start-up India should be coincident with public libraries and will also provide the supporting infrastructures like; accessories, equipments, computer peripherals with good amenities and well accommodation for reading and learning facilities for …

Learning To Play The Trading Game, Neeraj Kulkarni

Master's Projects

Can we train a stock trading bot that can take decisions in high-entropy envi- ronments like stock markets to generate profits based on some optimal policy? Can we further extend this learning for any general trading problem? Quantitative Al- gorithms are responsible for more than 75% of the stock trading around the world. Creating a stock market prediction model is comparatively easy. But creating a prof- itable prediction model is still considered as a challenging task in the field of machine learning and deep learning due to the unpredictability of the financial markets. Us- ing biologically inspired computing techniques of …

Traffic Flow Prediction Using Convolutional Neural Network Accelerated By Spark Distributed Cluster, Yihang Tang

Master's Projects

Obtain information from historical data to forecast traffic flow in a city can be difficult because a precision forecasting demands large amount of data and accurate pattern analysis. Meanwhile, it is also meaningful because it provides a detailed and accurate point-to-point prediction for users. In this project, I use CNN (Convolutional Neural Network) to train the model based on the images captured by webcams in New York City. Then I deploy the training process on a Spark distributed Cluster so that the whole training process is accelerated. To efficiently combine CNN and Apache Spark, the prediction model is re-designed and …

Appraisal Of The Synchronous And Asynchronous Techniques Of Marketing Library Services In University Libraries, Chiegonu Nwachi, Chinedu Anozie

Library Philosophy and Practice (e-journal)

For optimum utilization of information materials & access to information, libraries have changed strategically and that is the aim of this paper to appraisal of the Synchrous and asynchrous techniques of marketing library services in two university libraries. Five specific objectives guided the study which was what are the library services for marketing, techniques use in marketing library services, the extent to which the techniques have improved the services, challenges & strategies to enhance the library service. Descriptive survey design, questionnaire was used for data collection & was distributed to 74 librarians in the two universities. Mean & tables were …

Library Web Portal For Academic Libraries In India: A Case Study, Rajesh Das

Library Philosophy and Practice (e-journal)

This paper is focused on library web portal for online information services. The library web portal contains the different types of web based services. The library information professionals and researchers are taking interest to use of library web portal as a central component of their integrated online library information system constructions. In this regard, the FOSS-based library web portal has drawn a considerable attention amongst library and information professionals and researchers in the field of integrated online library and information services through internet. There is a need of library web portal which is easy to design, implement and maintain by …

The Development Of Silica Hydride Stationary Phases For High-Performance Liquid Chromatography From Conception To Commercialization, Maria Matyska-Pesek, Joseph Pesek

Faculty Publications, Chemistry

The development of a stationary phase material for high-performance liquid chromatography based on a surface of silica hydride as opposed to silanols on ordinary silica is discussed including synthetic approaches, characterization, and applications. There are several synthetic approaches available to create a silica hydride surface. Modification of the Si–H moiety on the silica surface can be accomplished through the use of a hydrosilation reaction. Both the intermediate silica hydride and the material modified with an organic moiety can be characterized by a number of spectroscopic as well as a variety of other methods. Further insights into the retention mechanism are …

Measuring Malware Evolution Using Support Vector Machines, Mayuri Wadkar

Master's Projects

Malware is software that is designed to do harm to computer systems. Malware often evolves over a period of time as malware developers add new features and fix bugs. Thus, malware samples from the same family from different time periods can exhibit significantly different behavior. Differences between malware samples within a single family can originate from various code modifications designed to evade signature-based detection or changes that are made to alter the functionality of the malware itself. In this research, we apply feature ranking based on linear support vector machine (SVM) weights to identify, quantify, and track changes within malware …

Application Of Green Concepts In The Libraries Of Thiruvananthapuram: An Investigation, Suresh Kumar Pk Dr., Sofiya A

Library Philosophy and Practice (e-journal)

The present study aims to judge the green concepts in the library buildings of Thiruvananthapuram by the key areas listed by Leadership in Energy and Environmental Design(LEED) such as site location, water conservation, energy efficiency, materials, indoor air quality, and a bonus category for innovation and design. The data for the study was collected from the chief librarian and the users of the major libraries in Thiruvananthapuram such as Kerala University Library (KUL), State Central Library (SCL), Kerala Legislature Library (KLL), Regional Cancer Centre Library (RCCL), VSSC library (VSSCL) and Centre for Development Studies Library (CDSL). The study analyzed the …

Strategies And Challenges For Marketing Electronic Resources: A Cross-Sectional Study Of The Mwalimu Nyerere Memorial Academy, Christian Mubofu

Library Philosophy and Practice (e-journal)

This study examined the strategies and challenges for marketing electronic resources at the Mwalimu Nyerere Memorial Academy. It was conducted at Kivukoni Campus in Dar es Salaam region. Data were collected from 60 students and MNMA library staff using self-administered questionnaires and in depth interviews. The study established that the strategies used for marketing electronic resources were: notice boards, librarians, instructional website, orientation to new users, library home page, institutional newsletters, text messages, social networks, Current Awareness Services and Selective Dissemination of Information as well as posters and brochures while the challenges for marketing of electronic resources to the library …

A Survey Of The Resources And Roles Of Nigerian University Libraries In Imparting Knowledge, Ferdinand Ezekwe

Library Philosophy and Practice (e-journal)

Universities are charged with the responsibilities of imparting knowledge and conducting research among other roles. They must therefore be equipped with relevant resources if they must meet challenges placed on them by academic activities. In this regard, this paper has surveyed the essence of university education and its history in Nigeria. The objectives of university libraries and their true characters are also under the purview of the paper. Further, the types of users and the roles the university libraries play are x-rayed. Based on the identified problems recommendations for giving the university libraries a befitting status are made.As education forms …

Information Needs Of Cassava Farmers In Okpokwu Local Government Area Of Benue State, Nigeria., Tofi Simon Ternenge Cln, Tondo Richard Iorver, Egbe Francis Ebute

Library Philosophy and Practice (e-journal)

ABSTRACT:

This Research work was designed to investigate the information needs of Cassava Farmers in Okpokwu Local Government Area of Benue State. The Study adopted a survey research design. Questionnaire was used to collect data for the study, the study identified the information needs of Cassava Farmers, the sources available the them, the kinds of information, Cassava Farmers use to improve their yield, the means/sources Cassava Farmers use to get their information, problems of information dissemination to Cassava farmers and strategies to overcome problems. The study therefore recommended that the local government should be sending Agricultural Extension Workers to educate …

Optimizing E-Commerce Product Classification Using Transfer Learning, Rashmeet Kaur Khanuja

Master's Projects

The global e-commerce market is snowballing at a rate of 23% per year. In 2017, retail e-commerce users were 1.66 billion and sales worldwide amounted to 2.3 trillion US dollars, and e-retail revenues are projected to grow to 4.88 trillion USD in 2021. With the immense popularity that e-commerce has gained over past few years comes the responsibility to deliver relevant results to provide rich user experience. In order to do this, it is essential that the products on the ecommerce website be organized correctly into their respective categories. Misclassification of products leads to irrelevant results for users which not …

Chatbots With Personality Using Deep Learning, Susmit Gaikwad

Master's Projects

Natural Language Processing (NLP) requires the computational modelling of the complex relationships of the syntax and semantics of a language. While traditional machine learning methods are used to solve NLP problems, they cannot imitate the human ability for language comprehension. With the growth in deep learning, these complexities within NLP are easier to model, and be used to build many computer applications. A particular example of this is a chatbot, where a human user has a conversation with a computer program, that generates responses based on the user’s input. In this project, we study the methods used in building chatbots, …

An Empirical Comparison Of Different Machine, Piyush Bajaj

Master's Projects

Sketching has been used by humans to visualize and narrate the aesthetics of the world for a long time. With the onset of touch devices and augmented technologies, it has attracted more and more attention in recent years. Recognition of free-hand sketches is an extremely cumbersome and challenging task due to its abstract qualities and lack of visual cues. Most of the previous work has been done to identify objects in real pictorial images using neural networks instead of a more abstract depiction of the same objects in sketch. This research aims at comparing the performance of different machine learning …

Low Power Mobilenets Acceleration In Cuda And Opencl, Nikhil Lahoti

Master's Projects

Convolutional Neural Network (CNN) has been used widely for the tasks of object recognition and facial recognition because of their remarkable results on these common visual tasks. In order to evaluate the performance of CNN for embedded devices effectively, it is essential to provide a comprehensive benchmark evaluation environment. Even though there are many benchmark suites available for use, but these benchmark suites require installation of various packages and proprietary libraries. This creates a bottleneck in using them in applications which are executed on resource constraint devices like embedded devices.

In this paper, we propose an evaluation platform which can …

Speaker Recognition Using Machine Learning Techniques, Abhishek Manoj Sharma

Master's Projects

Speaker recognition is a technique of identifying the person talking to a machine using the voice features and acoustics. It has multiple applications ranging in the fields of Human Computer Interaction (HCI), biometrics, security, and Internet of Things (IoT). With the advancements in technology, hardware is getting powerful and software is becoming smarter. Subsequently, the utilization of devices to interact effectively with humans and performing complex calculations is also increasing. This is where speaker recognition is important as it facilitates a seamless communication between humans and computers. Additionally, the field of security has seen a rise in biometrics. At present, …

Malware Analysis On Pdf, Shubham Shashishekhar Pachpute

Master's Projects

Cyber-attacks are growing day by day and attackers are finding new techniques to cause harm to their target by spreading worms and malware. In the world of innovations and new technologies coming out every day, it creates a possibility of attacking a system and exploiting the vulnerabilities present in the system. One of the methods used for the spread of malware is the Portable Document Format (PDF) files. Due to the flexible nature of these files, it is becoming a sweet spot for the attackers to embed the malware easily into the PDF files. In this report, we are going …

Contract Builder Ethereum Application, Colin M. Fowler

Master's Projects

Developments in Blockchain, smart contract, and decentralized application (“dApps”) technology have enabled new types of software that can improve efficiency within law firms by increasing speed at which attorneys may draft and execute contracts. Smart contracts and dApps are self-executing software that reside on a blockchain. Custom smart contracts can be built in a modular manner in order to emulate contracts that are commonly generated and executed in law firms. Such contracts include those for the transfer of services, goods, and title. This article explores exactly how implementations of smart contracts for law firms may look.

Next Level: A Course Recommender System Based On Career Interests, Shehba Shahab

Master's Projects

Skills-based hiring is a talent management approach that empowers employers to align recruitment around business results, rather than around credentials and title. It starts with employers identifying the particular skills required for a role, and then screening and evaluating candidates’ competencies against those requirements. With the recent rise in employers adopting skills-based hiring practices, it has become integral for students to take courses that improve their marketability and support their long-term career success. A 2017 survey of over 32,000 students at 43 randomly selected institutions found that only 34% of students believe they will graduate with the skills and knowledge …

Stock Market Prediction Using Ensemble Of Graph Theory, Machine Learning And Deep Learning Models, Pratik Patil

Master's Projects

Efficient Market Hypothesis (EMH) is the cornerstone of the modern financial theory and it states that it is impossible to predict the price of any stock using any trend, fundamental or technical analysis. Stock trading is one of the most important activities in the world of finance. Stock price prediction has been an age-old problem and many researchers from academia and business have tried to solve it using many techniques ranging from basic statistics to machine learning using relevant information such as news sentiment and historical prices. Even though some studies claim to get prediction accuracy higher than a random …

Emulation Vs Instrumentation For Android Malware Detection, Anukriti Sinha

Master's Projects

In resource constrained devices, malware detection is typically based on offline analysis using emulation. In previous work it has been claimed that such emulation fails for a significant percentage of Android malware because well-designed malware detects that the code is being emulated. An alternative to emulation is malware analysis based on code that is executing on an actual Android device. In this research, we collect features from a corpus of Android malware using both emulation and on-phone instrumentation. We train machine learning models based on emulated features and also train models based on features collected via instrumentation, and we compare …

Sentiment Analysis For Search Engine, Saravana Gunaseelan

Master's Projects

The chief purpose of this study is to detect and eliminate the sentiment bias in a search engine. Sentiment bias means a bias induced in the search results based on the sentiment of the user’s search query. As people increasing depend on search engines for information, it is important to understand the quality of results produced by the search engines. This study does not try to build a search engine but leverage the existing search engines to provide better results to the user. In this study, only the queries that have high sentiment polarity are analyzed and the machine learning …

Detecting Cars In A Parking Lot Using Deep Learning, Samuel Ordonia

Master's Projects

Detection of cars in a parking lot with deep learning involves locating all objects of interest in a parking lot image and classifying the contents of all bounding boxes as cars. Because of the variety of shape, color, contrast, pose, and occlusion, a deep neural net was chosen to encompass all the significant features required by the detector to differentiate cars from not cars. In this project, car detection was accomplished with a convolutional neural net (CNN) based on the You Only Look Once (YOLO) model architectures. An application was built to train and validate a car detection CNN as …

An Ensemble Model For Click Through Rate Prediction, Muthaiah Ramanathan

Master's Projects

Internet has become the most prominent and accessible way to spread the news about an event or to pitch, advertise and sell a product, globally. The success of any advertisement campaign lies in reaching the right class of target audience and eventually convert them as potential customers in the future. Search engines like the Google, Yahoo, Bing are a few of the most used ones by the businesses to market their product. Apart from this, certain websites like the www.alibaba.com that has more traffic also offer services for B2B customers to set their advertisement campaign. The look of the advertisement, …

Smartphone Gesture-Based Authentication, Preethi Sundaravaradhan

Master's Projects

In this research, we consider the problem of authentication on a smartphone based on gestures, that is, movements of the phone. Accelerometer data from a number of subjects was collected and we analyze this data using a variety of machine learning techniques, including support vector machines (SVM) and convolutional neural networks (CNN). We analyze both the fraud rate (or false accept rate) and insult rate (or false reject rate) in each case.

Deep Learning For Image Spam Detection, Tazmina Sharmin

Master's Projects

Spam can be defined as unsolicited bulk email. In an effort to evade text-based spam filters, spammers can embed their spam text in an image, which is referred to as image spam. In this research, we consider the problem of image spam detection, based on image analysis. We apply various machine learning and deep learning techniques to real-world image spam datasets, and to a challenge image spam-like dataset. We obtain results comparable to previous work for the real-world datasets, while our deep learning approach yields the best results to date for the challenge dataset.

Pose Estimation And Action Recognition In Sports And Fitness, Parth Vyas

Master's Projects

The emergence of large datasets and major improvements in Deep Learning has lead to many real-world applications. These applications have been focused on automotive markets, mobile markets, stock markets, and the healthcare market. Although Deep Learning has strong foundations across many areas, the few applications in Sports, Fitness, or even Injury Rehabilitation could benefit greatly from it. For example, if you are performing a workout and you need to evaluate your form, but do not have access or resources for an instructor to evaluate your form, it would be great to have an Artificial Intelligent agent provide real time feedback …

Masquerade Detection In Automotive Security, Ashraf Saber

Master's Projects

In this paper, we consider intrusion detection systems (IDS) in the context of a controller area network (CAN), which is also known as the CAN bus. We provide a discussion of various IDS topics, including masquerade detection, and we include a selective survey of previous research involving IDS in a CAN network. We also discuss background topics and relevant practical issues, such as data collection on the CAN bus. Finally, we present experimental results where we have applied a variety of machine learning techniques to CAN data. We use both actual and simulated data in order to detect the status …