Computer Sciences Commons^™

Gdd(Growth Degree Day) Module For Vinsense Visual Analytics System, Pradeep K. Lam, David Ebert , Phd, Jiawei Zhang

The Summer Undergraduate Research Fellowship (SURF) Symposium

Limited resources and increasing costs require vineyards to develop optimized methods of planting, growing, and harvesting crops in order to ensure max yield and stay competitive in the marketplace. Data from sensors planted within the soil paired with weather reports and observation data from farmers could help develop competitive farming strategies. While automatic computation models are usually a black box that cannot explain how the input data are transformed into output, the farmers require an approach that allows them to interactively manipulate and supervise the computation process. The VinSense project was developed for this purpose. In this paper, we focus …

A Fast Algorithm For Personalized Travel Planning Recommendation, Aldy Gunawan, Hoong Chuin Lau, Kun Lu

Research Collection School Of Computing and Information Systems

With the pervasive use of recommender systems and web/mobile applications such as TripAdvisor and Booking.com, an emerging interest is to generate personalized tourist routes based on a tourist’s preferences and time budget constraints, often in real-time. The problem is generally known as the Tourist Trip Design Problem (TTDP) which is a route-planning problem on multiple Points of Interest (POIs). TTDP can be considered as an extension of the classical problem of Team Orienteering Problem with Time Windows (TOPTW). The objective of the TOPTW is to determine a fixed number of routes that maximize the total collected score. The TOPTW also …

From Offline To Online: How Health Insurance Policies Drive The Demand For Online Healthcare Service?, Yue Yu, Qiu-Yan Mei, Qiu-Hong Wang

Research Collection School Of Computing and Information Systems

Online healthcare service has gradually become a significant part of healthcare services, especially in emerging economy with shortage in medical resources and wide coverage in the Internet usage. This paper studies how health insurance policies affect the demand for online healthcare consultation by using longitudinal online healthcare and offline medical services datasets of a major city in China. The two policies we study are the integration of health insurance systems in urban and rural regions and the integration of health insurance systems between pairwise-cities. The empirical results show that both policies significantly affected the demand for online consultation. Our study …

Robust Median Reversion Strategy For Online Portfolio Selection, Dingjiang Huang, Junlong Zhou, Bin Li, Hoi, Steven C. H., Shuigeng Zhou

Research Collection School Of Computing and Information Systems

On-line portfolio selection has been attracting increasing interests from artificial intelligence community in recent decades. Mean reversion, as one most frequent pattern in financial markets, plays an important role in some state-of-the-art strategies. Though successful in certain datasets, existing mean reversion strategies do not fully consider noises and outliers in the data, leading to estimation error and thus non-optimal portfolios, which results in poor performance in practice. To overcome the limitation, we propose to exploit the reversion phenomenon by robust L1-median estimator, and design a novel on-line portfolio selection strategy named "Robust Median Reversion" (RMR), which makes optimal portfolios based …

The Impact Of Nasd Rule 2711 And Nyse Rule 472 On Analyst Behavior: The Strategic Timing Of Recommendations Issued On Weekends, Yi Dong, Nan Hu

Research Collection School Of Computing and Information Systems

Amendments to NASD Rule 2711 and NYSE Rule 472, enacted in May 2002, mandate that sell-side analysts disclose the distribution of their security recommendations by buy, hold and sell category. This regulation enhances the transparency of analysts' information and mitigates the long-recognized optimistic bias in their recommendations. However, we find that analysts are more likely to issue sell recommendations or downgrade revisions on weekends when investors have limited attention after these rule changes. This pattern is more pronounced for prestigious analysts, who are more likely to influence stock prices. Market reaction tests reveal an incomplete immediate response and a greater …

From The Editors, Michael E. Whitman, Herbert J. Mattord

Journal of Cybersecurity Education, Research and Practice

Welcome to the inaugural issue of the Journal of Cybersecurity Education, Research and Practice (JCERP).

Using A Virtual Computing Laboratory To Foster Collaborative Learning For Information Security And Information Technology Education, Abdullah Konak, Michael R. Bartolacci

Journal of Cybersecurity Education, Research and Practice

Virtual computer laboratories have been an excellent technological solution to the problem of providing students with hands-on experimentation in information technology fields such as information security in a cost effective and secure manner. A virtual computer laboratory was utilized in this work as a collaborative environment for student learning with the goal of measuring its effect on student learning and attitudes toward laboratory assignments. Experiments were carried out utilizing specially-designed computer-based laboratory activities that included student assessments and surveys upon their completion. The experiments involved both small groups and individual students completing their respective laboratory activities and subsequent assessments/surveys. …

Optimizing The Mix Of Games And Their Locations On The Casino Floor, Jason D. Fiege, Anastasia D. Baran

International Conference on Gambling & Risk Taking

We present a mathematical framework and computational approach that aims to optimize the mix and locations of slot machine types and denominations, plus other games to maximize the overall performance of the gaming floor. This problem belongs to a larger class of spatial resource optimization problems, concerned with optimizing the allocation and spatial distribution of finite resources, subject to various constraints. We introduce a powerful multi-objective evolutionary optimization and data-modelling platform, developed by the presenter since 2002, and show how this software can be used for casino floor optimization. We begin by extending a linear formulation of the casino floor …

Stationary And Time-Dependent Optimization Of The Casino Floor Slot Machine Mix, Anastasia D. Baran, Jason D. Fiege

International Conference on Gambling & Risk Taking

Modeling and optimizing the performance of a mix of slot machines on a gaming floor can be addressed at various levels of coarseness, and may or may not consider time-dependent trends. For example, a model might consider only time-averaged, aggregate data for all machines of a given type; time-dependent aggregate data; time-averaged data for individual machines; or fully time dependent data for individual machines. Fine-grained, time-dependent data for individual machines offers the most potential for detailed analysis and improvements to the casino floor performance, but also suffers the greatest amount of statistical noise. We present a theoretical analysis of single …

Fusing Wifi And Video Sensing For Accurate Group Detection In Indoor Spaces, Kasthuri Jayarajah, Zaman Lantra, Archan Misra

Research Collection School Of Computing and Information Systems

Understanding one's group context in indoor spaces is useful for many reasons - e.g., at a shopping mall, knowing a customer's group context can help in offering context-specific incentives, or estimating taxi demand for customers exiting the mall. Group detection and monitoring using WiFi-based indoor location traces fails when users are invisible (either because they don't carry smartphones, or because their WiFi is turned OFF) or when location tracking is inaccurate. In this paper, we propose a multi-modal group detection system that fuses two independent modes: video and WiFi, for detecting groups with low latency and high accuracy. We present …

An Experimental Investigation Of Product Competition And Marketing In Social Networks, Cen Chen, Zhiling Guo, Shih-Fen Cheng, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

We conduct computational experiment using Facebook data to evaluate competing firms’ initial market seeding and subsequent targeted marketing strategies that influence consumers’ new product adoption decisions. We find that firms generally overspend their advertising budget in the market seeding phase. In the subsequent market advertising phase, a coupon strategy (equivalent to price discount) generally yields higher market share than the strategy of distributing free product samples. The effect is more significant when both price and product quality are low. We offer managerial insights into firms’ effective competition strategies for new product introduction in the presence of consumers’ word of mouth …

Demo: Smartwatch Based Shopping Gesture Recognition, Meeralakshmi Radhakrishnan, Sharanya Eswaran, Sougata Sen, Vigneshwaran Subbaraju, Archan Misra, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

In the current retail segment, the retail store owners are keen to understand the browsing behavior and purchase pattern of the shoppers inside the physical stores. Profiling the behavior of the shopper is key to success for any marketing strategies that can optimize or personalize shopping-related services in real-time. We envision that exploiting the knowledge of real-time behavior of shopper’s in-store activities enables novel applications such as: (a) targeted advertising or recommendations: based on longer term shopper profiles, (b) proactive retail help to assist the shoppers who are confused in choosing between two items, (c) smart reminders that can remind …

Collaborative Development Of A Small Business Emergency Planning Model, Arthur Henry Hendela

Dissertations

Small businesses, which are defined by the US Small Business Administration as entities with less than 500 employees, suffer interruptions from diverse risks such as financial events, legal situations, or severe storms exemplified by Hurricane Sandy. Proper preparations can help lessen the length of the interruption and put employees and owners back to work. Large corporations generally have large budgets available for planning, business continuity, and disaster recovery. Small businesses must decide which risks are the most important and how best to mitigate those risks using minimal resources.

This research uses a series of surveys followed by mathematical modeling to …

Mediating Chance Encounters Through Opportunistic Social Matching, Julia M. Mayer

Dissertations

Chance encounters, the unintended meeting between people unfamiliar with each other, serve as an important social lubricant helping people to create new social ties, such as making new friends or finding an activity, study or collaboration partner. Unfortunately, social barriers often prevent chance encounters in environments where people do not know each other and people have to rely on serendipity to meet or be introduced to interesting people around them. Little is known about the underlying dynamics of chance encounters and how systems could utilize contextual data to mediate chance encounters. This dissertation addresses this gap in research literature by …

Cyber Security Awareness In Higher Education, Toni Hunt

Symposium Of University Research and Creative Expression (SOURCE)

With technology advancing every day our society is becoming more connected than we have ever been before. While these advances are making our daily lives easier they are also adding extra risks to our personal information. Most people do not think about their identities getting stolen when they make an online purchase, check their email, or use social media. However, each time that you put your personal information on the Internet you are at risk of that information getting stolen. This is especially true for students, who spend so much time online doing school activities. Every time that they login …

Backend Challenges And Issues For Electronic Government, Salim Y. Alkindi

Information Technology Master Theses

The term electronic government (also called e-government, or eGov) refers to multidisciplinary projects that are complex in nature. Since the beginning of the Internet revolution many countries have adopted e-government as a step toward enhancing the delivery of public or governmental services to citizens by what are called e-services. A typical request for a service is initiated and passes through an electronic service (“e-service”) portal, or a front office. The term front office application usually system can be defined as designates software seen and used directly by an end user. This software provides the capabilities needed to collect the user …

Charlton Fire Department Resident Expectations: Survey And Analysis, Natalie Omary, Jingxin Wen, Junchen Chen, Denis Kornev

School of Professional Studies

The Town of Charlton is located in the heart of the Massachusetts with a resident population of just under 14,000 people. The Charlton Fire Department serves the town for needs related to fire fighting, fire prevention, burning permits and inspection services along with emergency medical services. The Department has requested the assistance of the Clark University COPACE Capstone students in creating and conducting survey in order to get a sense of what the resident of the town know about the fire department and to better gauge their expectations about what the department can provide for them. The survey was formulated …

Information Technology Proposal For The Town Of Spencer, Vijay Basava, Corey Kenyon, Mahdi Soltani

School of Professional Studies

The Town of Spencer came to us looking for a plan to build and maintain their own personal fiber network for connection between departments and to improve data security for important information. After assessing the existing landscape and determining the various paths forward, we created network diagrams and plans for the movement forward of this project.

After assessing a variety of plans, we found that a full single-mode fiber network would be the best system for the implementation in Spencer. While it was the highest cost, it also scored the highest in our assessment.

Developing An Online Database Of Experts For The Worcester Regional Chamber Of Commerce, Zikan Chen, Douglas Grey, Pranjal Shah

School of Professional Studies

The Worcester Regional Chamber of Commerce as part of their mission to attract business to the Worcester area, want to create an online searchable database of industry experts made up of faculty members of the Colleges and Universities in the Worcester area. This online database will be placed on the Worcester Regional Chamber of Commerce Higher Education – Business Partnership page on their website. The limitations placed on this request are that the Regional Chamber as of this moment have no monetary or Information Technologies resources to provide for the realization of this request.

The proliferation of as A Service …

Cybersecurity Awareness Shrewsbury Public Schools, Brittany Crompton, David Thompson, Manuel Reyes, Xueyan Zhao, Xueke Zou

School of Professional Studies

In the 21st Century, technology reaches every aspect of our lives. As “digital citizens” we must be aware of the dangers both to our technological equipment and our personal information stored, transmitted, and processed on this equipment. The Cybersecurity Awareness curriculum developed for the Shrewsbury Public School district is designed to meet this need, as well as foster an interest in technology and ethical computer use.

Analysis Of The Point Of Sales System At Tower Hill Botanical Garden And Suggested Courses Of Action, Brian Dunn, Keerthi Bandi, Chantal Kopwa Epse Kassa, F.N.U Shelly

School of Professional Studies

As Tower Hill Botanic Garden continues to improve on its operations and enhance the experience of its visitors and members, they are on a quest for a new Point-Of-Sale (POS) system that not only works with its existing hardware and interface with Raiser’s Edge, a smartcloud fundraising and relationship management software central to the garden’s operations but also, have a restaurant module and the capability of operating both in a wireless and hard-wired environment.

Privacy-Preserving Data Mashup Model For Trading Person-Specific Information, Rashid Hussain Khokhar, Benjamin C.M. Fung, Farkhund Iqbal, Dima Alhadidi, Jamal Bentahar

All Works

© 2016 Elsevier B.V. All rights reserved. Business enterprises adopt cloud integration services to improve collaboration with their trading partners and to deliver quality data mining services. Data-as-a-Service (DaaS) mashup allows multiple enterprises to integrate their data upon the demand of consumers. Business enterprises face challenges not only to protect private data over the cloud but also to legally adhere to privacy compliance rules when trading person-specific data. They need an effective privacy-preserving business model to deal with the challenges in emerging markets. We propose a model that allows the collaboration of multiple enterprises for integrating their data and derives …

Alternatives Unlimited Inc. Property Service Application, Jalpa Dave, Pennie Nataliya, Neelakshi Bali

School of Professional Studies

The purpose of this project is to propose Property service application to be enforced for documenting and managing the work orders raised throughout the residencies. The company is looking into an application that would facilitate to track and monitor the maintenance request received in a systematic order and ensuring priority work request is resolved within the set time frame. The project is to enhance the property service's work more efficiently as this will provide a high level of charge for the occupants by providing quicker response to their requests. The Objectives set to achieve for this project are realistic and …

A Horizon Decomposition Approach For The Capacitated Lot-Sizing Problem With Setup Times, Ioannis Fragkos, Zeger Degraeve, Bert De Reyck

Research Collection Lee Kong Chian School Of Business

We introduce horizon decomposition in the context of Dantzig-Wolfe decomposition, and apply it to the capacitated lot-sizing problem with setup times. We partition the problem horizon in contiguous overlapping intervals and create subproblems identical to the original problem, but of smaller size. The user has the flexibility to regulate the size of the master problem and the subproblem via two scalar parameters. We investigate empirically which parameter configurations are efficient, and assess their robustness at different problem classes. Our branch-and-price algorithm outperforms state-of-the-art branch-and-cut solvers when tested to a new data set of challenging instances that we generated. Our methodology …

Analyzing Shared Value And Social Business Principles: A Case Study Of Honeydrop Beverages And Seven Hills Foundation, Sarah Dys, Maya Grevatt, Brianna Mirabile

School of Professional Studies

Can the business world come together with the nonprofit world to create systems to lift low income women, children, and families out of poverty? The following report aims to show how the changing principles of business have the potential to serve international populations living on less than $2USD per day. For-profit organizations working with citizen sector organizations instead of giving charity provides a sustainable model to connect profit maximization with social good.

Honeydrop Beverages is a company based out of New York that produces lemonade sweetened with honey. Their products do not contain any refined products, only using fresh and …

Doc Wayne Youth Services, Inc. Capstone Project Youth Employment And Mentoring, Bongani T. Jeranyama, Zhengjun Liu, Sarah Parsons

School of Professional Studies

In Boston, Massachusetts, young adults age 16-19 who have dropped out of high school have a very high unemployment rate of 43.8%. Additionally, in the United States of America the difference between a young adult with a high school diploma as opposed to a young adult without a high school diploma in terms of weekly income is $180 USD; between a young adult with a high school diploma versus a young professional with a bachelor’s degree is $433 USD. These numbers demonstrate the need for services that improve academic achievement, job readiness and preparedness, and youth mentorship for struggling young …

A Nonprofit Model In A For-Profit World: A Closer Look At Sheltered Workshops And Sustainability As An Employee Run Business, Bing Jang, Mitchell Perry, Nikolin Vangjeli, Laura Ducharme

School of Professional Studies

Historically, society has tended to isolate and segregate individuals with intellectual and developmental disabilities. Despite improvements such forms of discrimination continue to be a serious social problem. On October 11, 2011, the Department of Justice began an investigation into several state’s systems of providing vocational services to individuals with intellectual and developmental disabilities. This action came about due to several states being out of compliance around Title II of the Americans with Disabilities Act (ADA). Title II of the ADA prohibits discrimination on the basis of disability for all services, programs and activities provided to the public by state and …

Olps: A Toolbox For On-Line Portfolio Selection, Bin Li, Doyen Sahoo, Hoi, Steven C. H.

Research Collection School Of Computing and Information Systems

On-line portfolio selection is a practical financial engineering problem, which aims to sequentially allocate capital among a set of assets in order to maximize long-term return. In recent years, a variety of machine learning algorithms have been proposed to address this challenging problem, but no comprehensive open-source toolbox has been released for various reasons. This article presents the first open-source toolbox for "On-Line Portfolio Selection" (OLPS), which implements a collection of classical and state-of-the-art strategies powered by machine learning algorithms. We hope that OLPS can facilitate the development of new learning methods and enable the performance benchmarking and comparisons of …

Optimal Monitoring And Mitigation Of Systemic Risk In Lending Networks, Zhang Li

Open Access Dissertations

This thesis proposes optimal policies to manage systemic risk in financial networks. Given a one-period borrower-lender network in which all debts are due at the same time and have the same seniority, we address the problem of allocating a fixed amount of cash among the nodes to minimize the weighted sum of unpaid liabilities. Assuming all the loan amounts and cash flows are fixed and that there are no bankruptcy costs, we show that this problem is equivalent to a linear program. We develop a duality-based distributed algorithm to solve it which is useful for applications where it is desirable …

A Framework To Manage Sensitive Information During Its Migration Between Software Platforms, Olusegun Ademolu Ajigini, John Andrew Van Der Poll, Jan H. Kroeze Phd

The African Journal of Information Systems

Software migrations are mostly performed by organisations using migration teams. Such migration teams need to be aware of how sensitive information ought to be handled and protected during the implementation of the migration projects. There is a need to ensure that sensitive information is identified, classified and protected during the migration process.

This paper suggests how sensitive information in organisations can be handled and protected during migrations, by using the migration from proprietary software to open source software to develop a management framework that can be used to manage such a migration process. The research employed a sequential explanatory mixed …