Computer Sciences Commons^™

Changing The Current Perception Of Affordable Housing In Worcester, Simone Mcguinness, William Roberts, Vaske Gjino, Tong Zhou, Mengxin Ma, Sarawadee Sonpuak

School of Professional Studies

One of Worcester Interfaith’s goals is to eradicate the stigma of affordable housing in Worcester. Currently, the perception of affordable housing is of an image of unkept and old residences filled with destitute citizens who cannot afford basic needs to live in a city, let alone housing. This image is perpetuated by media, stigma, and a lack of education of the true reality of affordable housing and who its recipients are. Affordable housing-qualified citizens represent a range of educations, professions, age, race, and income levels. Affordable housing units, too, represent a variety of homes, many of which are extremely well-kept …

Online Multimodal Co-Indexing And Retrieval Of Social Media Data, Lei Meng, Ah-Hwee Tan, Donald C. Wunsch

Research Collection School Of Computing and Information Systems

Effective indexing of social media data is key to searching for information on the social Web. However, the characteristics of social media data make it a challenging task. The large-scale and streaming nature is the first challenge, which requires the indexing algorithm to be able to efficiently update the indexing structure when receiving data streams. The second challenge is utilizing the rich meta-information of social media data for a better evaluation of the similarity between data objects and for a more semantically meaningful indexing of the data, which may allow the users to search for them using the different types …

Adaptive Resonance Theory (Art) For Social Media Analytics, Lei Meng, Ah-Hwee Tan, Donald C. Ii Wunsch

Research Collection School Of Computing and Information Systems

The last decade has witnessed how social media in the era of Web 2.0 reshapes the way people communicate, interact, and entertain in daily life and incubates the prosperity of various user-centric platforms, such as social networking, question answering, massive open online courses (MOOC), and e-commerce platforms. The available rich user-generated multimedia data on the web has evolved traditional ways of understanding multimedia research and has led to numerous emerging topics on human-centric analytics and services, such as user profiling, social network mining, crowd behavior analysis, and personalized recommendation. Clustering, as an important tool for mining information groups and in-group …

Personalized Web Image Organization, Lei Meng, Ah-Hwee Tan, Donald C. Wunsch

Research Collection School Of Computing and Information Systems

Due to the problem of semantic gap, i.e. the visual content of an image may not represent its semantics well, existing efforts on web image organization usually transform this task to clustering the surrounding text. However, because the surrounding text is usually short and the words therein usually appear only once, existing text clustering algorithms can hardly use the statistical information for image representation and may achieve downgraded performance with higher computational cost caused by learning from noisy tags. This chapter presents using the Probabilistic ART with user preference architecture, as introduced in Sects. 3.5 and 3.4, for personalized web …

Socially-Enriched Multimedia Data Co-Clustering, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Heterogeneous data co-clustering is a commonly used technique for tapping the rich meta-information of multimedia web documents, including category, annotation, and description, for associative discovery. However, most co-clustering methods proposed for heterogeneous data do not consider the representation problem of short and noisy text and their performance is limited by the empirical weighting of the multimodal features. This chapter explains how to use the Generalized Heterogeneous Fusion Adaptive Resonance Theory (GHF-ART) generalized heterogeneous fusion adaptive resonance theory for clustering large-scale web multimedia documents. Specifically, GHF-ART is designed to handle multimedia data with an arbitrarily rich level of meta-information. For handling …

Artificial Intelligence, Real Concerns…And Cash, Singapore Management University

Perspectives@SMU

Regulating development of self-aware robots is crucial. Data privacy is key to user-app power dynamic

Communication Goals Of American Universities: A Social Media Content Analysis, Travis Ryan

Mahurin Honors College Capstone Experience/Thesis Projects

Social media is a key communication tool for American universities. This research project is an exploratory look at how universities communicate with stakeholders via social media. In particular, the primary purpose is to explore potential emphasis on academic programs relative to the promotion of athletics as a marketing tool to bolster identity and recruit students. 3000 tweets were collected from 130 NCAA Division 1 American universities. In total, roughly 500,000 tweets have been scraped and classified using an automated script to assess tweet content. Particular emphasis was given to the concept of university rebranding as a broader marketing strategy for …

Maximizing Multifaceted Network Influence, Yuchen Li, Ju Fan, George V. Ovchinnikov, Panagiotis Karras

Research Collection School Of Computing and Information Systems

An information dissemination campaign is often multifaceted, involving several facets or pieces of information disseminating from different sources. The question then arises, how should we assign such pieces to eligible sources so as to achieve the best viral dissemination results? Past research has studied the problem of Influence Maximization (IM), which is to select a set of k promoters that maximizes the expected reach of a message over a network. However, in this classical IM problem, each promoter spreads out the same unitary piece of information. In this paper, we propose the Optimal Influential Pieces Assignment (OIPA) problem, which is …

Fine-Grained Geolocation Of Tweets In Temporal Proximity, Wen Haw Chong, Ee Peng Lim

Research Collection School Of Computing and Information Systems

In fine-grained tweet geolocation, tweets are linked to the specific venues (e.g., restaurants, shops) fromwhich they were posted. This explicitly recovers the venue context that is essential for applications such aslocation-based advertising or user profiling. For this geolocation task, we focus on geolocating tweets that arecontained in tweet sequences. In a tweet sequence, tweets are posted from some latent venue(s) by the sameuser and within a short time interval. This scenario arises from two observations: (1) It is quite common thatusers post multiple tweets in a short time and (2) most tweets are not geocoded. To more accurately geolocatea tweet, …

Security Analysis Of Wireless Ban In E-Health, Romina Muka, Sule Yildrim-Yayilgan, Kozeta Sevrani

International Journal of Business and Technology

The Wireless Body Area Network (WBAN) has gained popularity as a new technology for e-Health, and is considered as one of the key research areas in computer science and healthcare applications. WBAN collects patients’ data, monitors constantly their physiological parameters, using small implantable or wearable sensors, and communicates these data using wireless communication techniques in short range. WBAN is playing a huge role in improving the quality of healthcare. Still, due to sensitive and concurrent nature of e-Heath systems, current research has showed that designers must take into considerations the security and privacy protection of the data collected by a …

Circuit Design For Green Communications – Methods, Tools And Examples, Galia Marinova, Zdravka Tchobanova

International Journal of Business and Technology

The paper makes an overview of the existing methods applied for circuit design with low power consumption objective. It considers Computer-Aided Design (CAD) tools and modules for power consumption estimation at the design stage. For analog and mixed analog-digital circuit design, the power estimation options in ORCAD Design Suit with PSpice and Analog Filter Wizard are studied. For digital communication systems the study covers the power estimation, analysis and optimization in ISE and Vivado systems, Xilinx Power Estimator (XPE) tool and spreadsheet, the XPower Analyzer, as well as similar tools proposed by ALTERA - PowerPlay Early Power Estimator and QUARTUS …

Improving Non-Native English Students' Communicative Competence And Collaboration Skills Through Virtual Simulations, Alisa Sadiku

International Journal of Business and Technology

Knowing how to communicate in the target language is the main goal of most language learners. Furthermore, it is very challenging for teachers to bring real world communication experiences in classroom settings where English is not the native language. Hence, in this paper I explore the role of virtual simulations in promoting communicational and collaboration opportunities to non-native speakers of English. In my research, I describe how virtual worlds improve communicative and collaborative skills of non-native speakers of English. Moreover, I investigate how virtual worlds can create a learner centered environment where students take control of their own language production. …

Question Answering For Suicide Risk Assessment Using Reddit, Amanuel Alambo, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelia Gyrard, Randon S. Welton, Jyotishman Pathak, Amit P. Sheth

Kno.e.sis Publications

Mental Health America designed ten questionnaires that are used to determine the risk of mental disorders. They are also commonly used by Mental Health Professionals (MHPs) to assess suicidality. Specifically, the Columbia Suicide Severity Rating Scale (C-SSRS), a widely used suicide assessment questionnaire, helps MHPs determine the severity of suicide risk and offer an appropriate treatment. A major challenge in suicide treatment is the social stigma wherein the patient feels reluctance in discussing his/her conditions with an MHP, which leads to inaccurate assessment and treatment of patients. On the other hand, the same patient is comfortable freely discussing his/her mental …

Social Media Mining For Journalism, Arkaitz Zubiaga, Bahareh Heravi, Jisun An, Haewoon Kwak

Research Collection School Of Computing and Information Systems

The exponential growth of social media as a central communication practice, and its agility in capturing and announcing breaking news events more rapidly than traditional media, has changed the journalistic landscape: social media has been adopted as a significant source by professional journalists, and conversely, citizens are able to use social media as a form of direct reportage. This brings along new opportunities for newsrooms and journalists by providing new means for newsgathering through access to a wealth of citizen reportage and updates about current affairs, as well as an additional showcase for news dissemination.

Discrete Social Recommendation, Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Social recommendation, which aims at improving the performance of traditional recommender systems by considering social information, has attracted broad range of interests. As one of the most widely used methods, matrix factorization typically uses continuous vectors to represent user/item latent features. However, the large volume of user/item latent features results in expensive storage and computation cost, particularly on terminal user devices where the computation resource to operate model is very limited. Thus when taking extra social information into account, precisely extracting K most relevant items for a given user from massive candidates tends to consume even more time and memory, …

Automatic Identification Of Individual Drugs In Death Certificates, Soon Jye Kho, Amit Sheth, Olivier Bodenreider

Kno.e.sis Publications

Background:

Establishing trends of drug overdoses requires the identification of individual drugs in death certificates, not supported by coding with the International Classification of Diseases. However, identifying drug mentions from the literal portion of death certificates remains challenging due to the variability of drug names.

Objectives:

To automatically identify individual drugs in death certificates.

Methods:

We use RxNorm to collect variants for drug names (generic names, synonyms, brand names) and we algorithmically generate common misspellings. We use this automatically compiled list to identify drug mentions from 703,106 death certificates and compare the performance of our automated approach to that of …

Empathi: An Ontology For Emergency Managing And Planning About Hazard Crisis, Manas Gaur, Kaeedeh Shekarpour, Amelia Gyrard, Amit P. Sheth

Kno.e.sis Publications

In the domain of emergency management during hazard crises, having sufficient situational awareness information is critical. It requires capturing and integrating information from sources such as satellite images, local sensors and social media content generated by local people.
A bold obstacle to capturing, representing and integrating such heterogeneous and diverse information is lack of a proper ontology which properly conceptualizes this domain, aggregates and unifies datasets. Thus, in this paper, we introduce empathi ontology which conceptualizes the core concepts describing the domain of emergency managing and planning of hazard crises.
Although empathi has a coarse-grained view, it considers the necessary …

A Comprehensive Cybersecurity Defense Framework For Large Organizations, Willarvis Smith

CCAC Theses and Dissertations

There is a growing need to understand and identify overarching organizational requirements for cybersecurity defense in large organizations. Applying proper cybersecurity defense will ensure that the right capabilities are fielded at the right locations to safeguard critical assets while minimizing duplication of effort and taking advantage of efficiencies. Exercising cybersecurity defense without an understanding of comprehensive foundational requirements instills an ad hoc and in many cases conservative approach to network security. Organizations must be synchronized across federal and civil agencies to achieve adequate cybersecurity defense. Understanding what constitutes comprehensive cybersecurity defense will ensure organizations are better protected and more efficient. …

Determining Political Inclination In Tweets Using Transfer Learning, Mehtab Iqbal

College of Graduate Studies: Theses & Dissertations

Last few years have seen tremendous development in neural language modeling for transfer learning and downstream applications. In this research, I used Howard and Ruder’s Universal Language Model Fine Tuning (ULMFiT) pipeline to develop a classifier that can determine whether a tweet is politically left leaning or right leaning by likening the content to tweets posted by @TheDemocrats or @GOP accounts on Twitter. We achieved 87.7% accuracy in predicting political ideological inclination.

Knowledge Transfer Strategy Implementation In Contract Organizations, Delano Clyde Hudson

Walden Dissertations and Doctoral Studies

Despite economic perils of government shutdowns, foreclosures, bankruptcies, and employee layoffs, some contract leaders consistently fail to implement knowledge transfer strategies that could improve production and profitability and maintain operational readiness when employees transition in and out of the organization. The conceptual framework for this descriptive research study was Nonaka and Takeuchi's socialization, externalization, combination, and internalization model for knowledge creation. A purposive sample of 20 leaders from 2 contract organizations within the south central United States with at least 10 years of experience in contracting were interviewed. Member checking was used for reliability of the synthesized interviews, and triangulation …

Ua66/15/2 Ogden College Of Science & Engineering Mathematics & Computer Science Publications, Wku Archives

WKU Archives Collection Inventories

Publications created by and about Mathematics & Computer Science.

An Instructional Designer Competency Framework For Complex Learning Designs, David Alan Schubert

CCAC Theses and Dissertations

Learning design competency frameworks published by professional organizations, exist for typical instructional design efforts. However, a review of literature revealed a lack of frameworks available for the creation of complex learning designs (CLDs). The goal of this research was to develop a competency framework for the creation of CLDs. Quantitative and qualitative methods were employed in the four phases of the design and development research approach In phase one, a survey based on the Educational Technology Multimedia Competency Survey (ETMCS) was sent to instructional designers who self-reported as having experience creating CLDs. The purpose of phase one was to identify …

Examining Shared Understanding And Team Performance In Global Virtual Teams, Alva Bullard

CCAC Theses and Dissertations

Modern organizations face many significant challenges because of turbulent environments and a competitive global economy. These competitive demands have forced many organizations to increase levels of flexibility and adaptability through the use of virtual environments, and global teams are prevalent in business organizations. Although significant research has been conducted on virtual teams, the development of shared understanding among the members of these teams has not been studied adequately. Time/space barriers, communication complexities, and team diversity hinder the development of shared understanding in these teams.

Based on the Media Synchronicity Theory (MST), a new theoretical model was created that used the …

Adaptive Knowledge Networks: A Time Capsule, Swati Padhee, Anurag Illendula, Amit Sheth, Krishnaprasad Thirunarayan, Valerie L. Shalin

Kno.e.sis Publications

❖ Real world events are dynamic in nature Periodic events e.g. US Presidential Election Non-periodic events e.g. Cyclone Idai

❖ Need for real-time predictive analysis, trend analysis, spatio-temporal decision making, public opinion analysis for events.

❖ Current state-of-the-art curates dynamic knowledge graph from structured text.

❖ We propose creating an Adaptive Knowledge Network from incoming real-time multimodal spatio-temporally evolving data.

Virtual Hearings And Blockchain Technology Solutions In Criminal Law, Chantell Bergquist

Political Science Theses and Capstones

Technology has evolved and raided our personal and professional lives. Although the courts are not immune to the advancement and integration of technology, the courts are not keeping up with relevant technological advancements. Historically, courts have been hesitant to embrace new technologies despite the Federal Rules of Civil Procedure and the American Bar Association Model Rules of Professional Conduct. Rule 1 of the Federal Rules of Civil Procedure creates the right to a “just, speedy, and inexpensive determination of every action and proceeding.” Likewise, the American Bar Association Model Rules of Professional Conduct have determined attorneys must “keep abreast of …

Successful Strategies For Retaining Profitability In An Education-Sector It Project, Cassandra Romae Middleton

Walden Dissertations and Doctoral Studies

Many information technology (IT) project managers (PMs) and other business leaders lack effective strategies for enhancing communication among their project team members, thereby reducing profitability and organizational cohesion. The purpose of this multiple case study was to explore communication strategies that IT PMs used to successfully complete IT mobile device projects. The conceptual framework for this study was McQuail's mass communication, Craig's communication, and Deming's profound knowledge theory. Purposive sampling method was used to identify 6 successful IT PMs and leaders who worked at 2 leading educations settings located in southeastern South Carolina. Data gathered from the semistructured interviews and …

Agent-Based Modeling And Simulation Approaches In Stem Education Research, Shanna R. Simpson-Singleton, Xiangdong Che

Journal of International Technology and Information Management

The development of best practices that deliver quality STEM education to all students, while minimizing achievement gaps, have been solicited by several national agencies. ABMS is a feasible approach to provide insight into global behavior based upon the interactions amongst agents and environments. In this review, we systematically surveyed several modeling and simulation approaches and discussed their applications to the evaluation of relevant theories in STEM education. It was found that ABMS is optimal to simulate STEM education hypotheses, as ABMS will sensibly present emergent theories and causation in STEM education phenomena if the model is properly validated and calibrated.

Use Of Mobile Telephones: Experiences Of First Responders In Rural African Communities, James Harding

Walden Dissertations and Doctoral Studies

Emergency medical technicians (EMTs) usually participate in disaster response in rural African communities. Disasters in African communities are often characterized by huge fatalities, which are associated with a slow pace of response. The use of information and communication technology in disaster response is recognized as an effective conduit for enhancing response. Previous research indicates the efficacy of the use of mobile telephones in disaster response in advance countries. However, there remains a critical gap in the available literature on the experiences of EMTs with the use of mobile telephones in disaster response in rural African communities. The purpose of this …

Online Burst Events Detection Oriented Real-Time Microblog Message Stream, Guozhong Dong, Jun Gao, Liang Huang, Chunlei Shi

Research Collection School Of Computing and Information Systems

The rapid spread of microblog messages and sensitivity of unexpected events make microblog become the public opinion center of burst events. Online burst events detection oriented real-time microblog message stream has become an important research problem in the field of microblog public opinion. Because of the large amount of real-time microblog message stream and irregular language of microblog message, it is important to process real-time microblog message stream and detect burst events accurately. In this paper, an online burst events detection framework is proposed. In this framework, abnormal messages are detected based on sliding time window and two-level hash table. …

The Global Disinformation Order: 2019 Global Inventory Of Organised Social Media Manipulation, Samantha Bradshaw, Philip N. Howard

Copyright, Fair Use, Scholarly Communication, etc.

Executive Summary

Over the past three years, we have monitored the global organization of social media manipulation by governments and political parties. Our 2019 report analyses the trends of computational propaganda and the evolving tools, capacities, strategies, and resources.

1. Evidence of organized social media manipulation campaigns which have taken place in 70 countries, up from 48 countries in 2018 and 28 countries in 2017. In each country, there is at least one political party or government agency using social media to shape public attitudes domestically.

2.Social media has become co-opted by many authoritarian regimes. In 26 countries, computational propaganda …