Technology and Innovation Commons^™

Comparative Study: Reducing Cost To Manage Accessibility With Existing Data, Claire Chu, Bill Kerneckel, Eric C. Larson, Nathan Mowat, Christopher Woodard

SMU Data Science Review

“Project Sidewalk” is an existing research effort that focuses on mapping accessibility issues for handicapped persons to efficiently plan wheelchair and mobile scooter friendly routes around Washington D.C. As supporters of this project, we utilized the data “Project Sidewalk” collected and used it to confirm predictions about where problem sidewalks exist based on real estate and crime data. We present a study that identifies correlations found between accessibility data and crime and housing statistics in the Washington D.C. metropolitan area. We identify the key reasons for increased accessibility and the issues with the current infrastructure management system. After a thorough …

Blockchain: Technical Review, Evan D. Poff

Marriott Student Review

This review of blockchain technology accompanies the article "Strategic Implications of Blockchain."

Buzzwords, Evan D. Poff

Marriott Student Review

This feature will explain the following buzzwords:

• Blockchain
• Cryptocurrency
• Work-Life Integration
• Passive Equities
• Risk-Adjusted Returns

Social Media: On Tech-Caves, Virtual Panopticism, And The Science Fiction-Like State In Which We Unwittingly Find Ourselves, Michael Major

Theses

Making use of three historic philosophical thought experiments, this paper blends psychological perspectives with philosophical reasoning to show how social media is corrupting our perception of reality, the result of which is ultimately detrimental to society as a whole. This is accomplished by first using Plato’s “Allegory of the Cave” to analyze and discuss the ways in which social media is limiting humanity’s access to real knowledge. Next, Michel Foucault’s analysis of punishment in its social context, Discipline and Punish, is used to discuss the ways in which social media is adversely affecting our behavior. Finally, Robert Nozick’s “Experience …

Fixing The Future, Singapore Management University

Perspectives@SMU

Silicon Valley’s business model has wreaked havoc on the world. Human agency will be crucial to save it

The World Wide Web, when it exploded into mainstream culture in the mid-1990’s, promised to democratise information and level a playing field that had become tilted towards the rich and elite. When the United States Congress enacted the 1996 Communications Decency Act to regulate pornographic material on the internet, activist John Perry Barlow wrote A Declaration of the Independence of Cyberspace, urging governments to “leave us alone” in a realm where “anyone, anywhere may express his or her beliefs, no matter …

The Evolution Of Nintendo Company, Yaochen Wei

ART 108: Introduction to Games Studies

Through consistent innovation, investment in quality, research, and diversification, Nintendo managed to evolve from a playing card manufacturer to a world-leading video game company.

An Investigation Of Low Frequency Noise In Server Rooms, Ahmed Al Naami

Theses

Noise in a server room can have a major impact on the performance and well-being of the occupants. Sound level and low frequency noise are considered factors that influence the hearing ability of workers. This thesis is an investigation of low-frequency noise in server rooms. We conducted the field study in a server room for a large financial institution. Some employees in this study indicated that they experienced headaches from the noise and requested an analysis of the sound to determine if there were any potential adverse health effects. Attributes of the noise were investigated by evaluating the sound pressure …

Effectiveness Of Social Media Analytics On Detecting Service Quality Metrics In The U.S. Airline Industry, Xin Tian

Information Technology & Decision Sciences Theses & Dissertations

During the past few decades, social media has provided a number of online tools that allow people to discuss anything freely, with an increase in mobile connectivity. More and more consumers are sharing their opinions online with others. Electronic Word of Mouth (eWOM) is the virtual communication in use; it plays an important role in customers’ buying decisions. Customers can choose to complain or to compliment services or products on their social media platforms, rather than to complete the survey offered by the providers of those services. Compared with the traditional survey, or with the air travel customer report published …

Technological Evolution In Software Engineering, Cody Miller

Engineering and Technology Management Student Projects

In all software development processes, the software must evolve in response to its environment or user needs to maintain satisfactory performance. If software doesn’t support change, it gradually becomes useless. With many organizations today, being software-centric organizations, this has huge implications for their business: evolve your software, or risk your software becoming gradually useless, and therefore, your entire business.

Technology Evolution is a highly relevant subject, Intel’s business model for the last 50 years, has been that of Moore’s Law, a hardware centric Technology Evolution model. As a Software Engineer at Intel, our business group faces a similar issue, we …

Opportunity Identification For New Product Planning: Ontological Semantic Patent Classification, Farshad Madani

Dissertations and Theses

Intelligence tools have been developed and applied widely in many different areas in engineering, business and management. Many commercialized tools for business intelligence are available in the market. However, no practically useful tools for technology intelligence are available at this time, and very little academic research in technology intelligence methods has been conducted to date.

Patent databases are the most important data source for technology intelligence tools, but patents inherently contain unstructured data. Consequently, extracting text data from patent databases, converting that data to meaningful information and generating useful knowledge from this information become complex tasks. These tasks are currently …

Technologies For Ageing-In-Place: The Singapore Context, Nadee Goonawardene, Pius Lee, Hwee Xian Tan, Alvin C. Valera, Hwee-Pink Tan

Research Collection School Of Computing and Information Systems

The number of elderly citizens aged 65 and above in Singapore, is expected to double from 440,000in 2015, to 900,000 by 2030. Along with this “Silver Tsunami” is the upward trend of the numberof elderly who are living alone — which is estimated to increase from 35,000 in 2012 to 83,000 by2030. These exclude elderly who are alone at home when their family members are working.Elderly who are staying alone are at higher risk of social isolation and tend to have poorer accessto healthcare. In addition, the general elderly population is typically more susceptible to deteriorating health conditions, which can …

Upping The Game Of Taxi Driving In The Age Of Uber, Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Wai Hin Wong, Rajendram Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Nghia Truong Trong, Firmansyah Abd Rahman

Research Collection School Of Computing and Information Systems

In most cities, taxis play an important role in providing point-to-point transportation service. If the taxi service is reliable, responsive, and cost-effective, past studies show that taxi-like services can be a viable choice in replacing a significant amount of private cars. However, making taxi services efficient is extremely challenging, mainly due to the fact that taxi drivers are self-interested and they operate with only local information. Although past research has demonstrated how recommendation systems could potentially help taxi drivers in improving their performance, most of these efforts are not feasible in practice. This is mostly due to the lack of …

Smart Cities And Urban Management, Singapore Management University

Research Collection Office of Research

In this booklet, read about SMU’s research and initiatives related to smart cities and urban management, and how we strive to make meaningful impact on business, government and society for Singapore and beyond.

Contents:

Liveability and quality of life

• Community participation through mobile crowdsourcing
• Smarter, healthier eating with Food AI
• Data-driven community eldercare platform for sustainable ageing-in-place
• A date with AI
• Smart mobility accessibility for barrier-free access
• Food security

Optimisation and resource management

• Collaborative urban delivery optimisation
• Seat occupancy detection through capacitance sensing
• Large-scale crowd simulation based on real-world data
• Gaining insights through Wi-Fi technology
• Taxi driver guidance system
• Efficiency …

Economics-Based Risk Management Of Distributed Denial Of Service Attacks: A Distance Learning Case Study, Omer Keskin, Unal Tatar, Omer Poyraz, Ariel Pinto, Adrian Gheorghe

Engineering Management & Systems Engineering Faculty Publications

Managing risk of cyber systems is still on the top of the agendas of Chief Information Security Officers (CISO). Investment in cybersecurity is continuously rising. Efficiency and effectiveness of cybersecurity investments are under scrutiny by boards of the companies. The primary method of decision making on cybersecurity adopts a risk-informed approach. Qualitative methods bring a notion of risk. However, particularly for strategic level decisions, more quantitative methods that can calculate the risk and impact in monetary values are required. In this study, a model is built to calculate the economic value of business interruption during a Distributed Denial-of-Service (DDoS) attack …

Alternative Energy: An Examination Of Costs, Safety, And Potential, Evan Searles

Honors Theses and Capstones

No abstract provided.

Classification Of Eeg Signals Of User States In Gaming Using Machine Learning, Chandana Mallapragada

Masters Theses

"In this research, brain activity of user states was analyzed using machine learning algorithms. When a user interacts with a computer-based system including playing computer games like Tetris, he or she may experience user states such as boredom, flow, and anxiety. The purpose of this research is to apply machine learning models to Electroencephalogram (EEG) signals of three user states -- boredom, flow and anxiety -- to identify and classify the EEG correlates for these user states. We focus on three research questions: (i) How well do machine learning models like support vector machine, random forests, multinomial logistic regression, and …

Software Intrusion Detection Evaluation System: A Cost-Based Evaluation Of Intrusion Detection Capability, Agbotiname L. Imoize, Taiwo Oyedare, Michael E. Otuokere, Sachin Shetty

VMASC Publications

In this paper, we consider a cost-based extension of intrusion detection capability (CID). An objective metric motivated by information theory is presented and based on this formulation; a package for computing the intrusion detection capability of intrusion detection system (IDS), given certain input parameters is developed using Java. In order to determine the expected cost at each IDS operating point, the decision tree method of analysis is employed, and plots of expected cost and intrusion detection capability against false positive rate were generated. The point of intersection between the maximum intrusion detection capability and the expected cost is selected as …

Time Dependent Attribute-Level Best Worst Discrete Choice Modelling, Amanda Working, Mohammed Alqawba, Norou Diawara, Ling Li

Mathematics & Statistics Faculty Publications

Discrete choice models (DCMs) are applied in statistical modelling of consumer behavior. Such models are used in many areas including social sciences, health economics, transportation research, and health systems research and they are time dependent. In this manuscript, we review references on the study of such models, develop DCMs with emphasis on time dependent best-worst choice and discrimination between choice attributes. Referenced measurements of the dynamic DCMs are simulated. Expected utilities over time are derived using Markov decision processes. We study attributes and attribute-levels associated with the quality of life of seniors, report the estimation results, and discuss our findings.

Consuming Digital Debris In The Plasticene, Stephen R. Parks

Theses and Dissertations

Claims of customization and control by socio-technical industries are altering the role of consumer and producer. These narratives are often misleading attempts to engage consumers with new forms of technology. By addressing capitalist intent, material, and the reproduction limits of 3-D printed objects’, I observe the aspirational promise of becoming a producer of my own belongings through new networks of production. I am interested in gaining a better understanding of the data consumed that perpetuates hyper-consumptive tendencies for new technological apparatuses. My role as a designer focuses on the resolution of not only the surface of the object through 3-D …

Real-World Large-Scale Iot Systems For Community Eldercare: A Comparative Study On System Dependability, Hwee-Pink Tan, Austin Zhang

Research Collection School Of Computing and Information Systems

The paradigm of aging-in-place — where the elderly live and age in their own homes, independently and safely, with care provided by the community — is compelling, especially in societies that face both shortages in institutionalized eldercare resources, and rapidly-aging populations. Internet-of-Things (IoT) technologies, particularly in-home monitoring solutions, are commercially available, and can be a fundamental enabler of smart community eldercare, if they are dependable. In this paper, we present our findings on system performance of solutions from two vendors, which we have deployed at scale for technology-enabled community care. In particular, we highlight the importance of quantifying actual system …

A Developmental Study On Assessing The Cybersecurity Competency Of Organizational Information System Users, Richard K. Nilsen, Yair Levy, Steven R. Terrell Ph.D., Dawn Beyer

Journal of Cybersecurity Education, Research and Practice

Organizational information system users (OISUs) that are open to cyber threats vectors are contributing to major financial and information losses for individuals, businesses, and governments. Moreover, technical cybersecurity controls may be rendered useless due to a lack of cybersecurity competency of OISUs. The main goal of this research study was to propose and validate, using subject matter experts (SMEs), a reliable hands-on assessment prototype tool for measuring the knowledge, skills, and abilities (KSAs) that comprise the cybersecurity competency of an OISU. Primarily using the Delphi methodology, this study implemented four phases of data collection using cybersecurity SMEs for proposing and …

A Toolkit Approach To Information Security Awareness And Education, Peter Korovessis, Steven Furnell, Maria Papadaki, Paul Haskell-Dowland

Journal of Cybersecurity Education, Research and Practice

In today’s business environment where all operations are enabled by technology, information security has become an established discipline as more and more businesses realize its value. The human component has been recognized to have an important role in information security since the only way to reduce security risks is through making employees more information security aware. Towards this goal the research will appreciate the importance of information security awareness by illustrating the need for more effective user training. Further to that it proposes and develops an information security toolkit as a prototype awareness raising initiative. Apart from the elements of …

From The Editors, Herbert J. Mattord, Michael E. Whitman, Carole L. Hollingsworth

Journal of Cybersecurity Education, Research and Practice

No abstract provided.

Social Media Risk Perceptions Of Human Resource Professionals: Issues Undergraduate Students Should Consider, Julio C. Rivera, Jack Howard, Samuel Goh, James L. Worrell, Paul Di Gangi

Journal of Cybersecurity Education, Research and Practice

This study contrasts the social media risk perceptions of undergraduate students, versus those of certified Human Resource professionals. Social media is widely used by most segments of the population, and particularly among the age group that includes most undergraduate students. Organizations hiring employees are increasingly examining job applicant's social media postings as part of the applicant screening process. In this study we examine how these groups differ in their perceptions of the risks inherent in using social media, and what these differences may mean for students seeking employment. Recommendations are made for raising undergraduate student awareness of these risks.

Synergistic Security: A Work System Case Study Of The Target Breach, Martha Nanette Harrell

Journal of Cybersecurity Education, Research and Practice

Recent publicized security breaches can be used to evaluate information security programs. The processes and procedures that allowed the event to occur can be examined in a case study and then be used to find methods for future mitigation of risk. The Target security breach is used in this study to examine the organization’s information security program using a macro-ergonomic model. This research posits that an information security program should consider the work system design, based in macro-ergonomics, to help mitigate information security risk to the organization and ensure an efficient and effective information security program. Based on a seminal …

Breadcrumbs: Privacy As A Privilege, Prachi Bhardwaj

Capstones

Breadcrumbs: Privacy as a Privilege Abstract

By: Prachi Bhardwaj

In 2017, the world saw more data breaches than in any year prior. The count was more than the all-time high record in 2016, which was 40 percent more than the year before that.

That’s because consumer data is incredibly valuable today. In the last three decades, data storage has gone from being stored physically to being stored almost entirely digitally, which means consumer data is more accessible and applicable to business strategies. As a result, companies are gathering data in ways previously unknown to the average consumer, and hackers are …

Process Models Discovery And Traces Classification: A Fuzzy-Bpmn Mining Approach., Kingsley Okoye Dr, Usman Naeem Dr, Syed Islam Dr, Abdel-Rahman H. Tawil Dr, Elyes Lamine Dr

Journal of International Technology and Information Management

The discovery of useful or worthwhile process models must be performed with due regards to the transformation that needs to be achieved. The blend of the data representations (i.e data mining) and process modelling methods, often allied to the field of Process Mining (PM), has proven to be effective in the process analysis of the event logs readily available in many organisations information systems. Moreover, the Process Discovery has been lately seen as the most important and most visible intellectual challenge related to the process mining. The method involves automatic construction of process models from event logs about any domain …

Towards A Development Of A Social Engineering Exposure Index (Sexi) Using Publicly Available Personal Information, W. Shawn Wilkerson, Yair Levy, James Richard Kiper, Martha Snyder

KSU Proceedings on Cybersecurity Education, Research and Practice

Millions of people willingly expose their lives via Internet technologies every day, and even those who stay off the Internet find themselves exposed through data breaches. Trillions of private information records flow through the Internet. Marketers gather personal preferences to coerce shopping behavior, while providers gather personal information to provide enhanced services. Few users have considered where their information is going or who has access to it. Even fewer are aware of how decisions made in their own lives expose significant pieces of information, which can be used to harm the very organizations they are affiliated with by cyber attackers. …

A Comparison Of Personal Social Media Risk Perceptions Between Undergraduate Students And Human Resource Professionals, Julio C. Rivera, Jack Howard, Samuel Goh, James Worrell, Paul Di Gangi

KSU Proceedings on Cybersecurity Education, Research and Practice

This study contrasts the social media risk perceptions of undergraduate students, versus those of certified Human Resource professionals. Social media is widely used by most segments of the population, and particularly among the age group that includes most undergraduate students. Organizations hiring employees are increasingly examining job applicant's social media postings as part of the applicant screening process. In this study we examine how these groups differ in their perceptions of the risks inherent in using social media, and what these differences may mean for students seeking employment. Recommendations are made for raising undergraduate student awareness of these risks.

Experiments With Applying Artificial Immune System In Network Attack Detection, Alexis Cooper

KSU Proceedings on Cybersecurity Education, Research and Practice

The assurance of security within a network is difficult due to the variations of attacks. This research conducts various experiments to implement an Artificial Immune System based Intrusion Detection System to identify intrusions using the Negative Selection Algorithm. This research explores the implementation of an Artificial Immune System opposed to the industry standard of machine learning. Various experiments were conducted to identify a method to separate data to avoid false-positive results. The use of an Artificial Immune System requires a self and nonself classification to determine if an intrusion is present within the network. The results of an Artificial Immune …