Physical Sciences and Mathematics Commons^™

Workshop | Body Worn Video Recorders: The Socio-Technical Implications Of Gathering Direct Evidence, Katina Michael, Alexander Hayes

Alexander Hayes Mr.

- From in-car video recording to body-worn video recording

- Exploring available technologies: how do they work, pros and cons

- Storing direct evidence in secure storage: factors to consider

- Citizens “shooting” back with POV tech – what are their rights?

- Crowdsourced sousveillance- harnessing public data for forensic profiling

- Police force policies and practices on the application of new media

Testing And Integration Team Project Management, Tyler Leben, Jeremy Straub, Scott Kerlin

Jeremy Straub

The Testing and Integration Team plays an integral role in the development of the open source CubeSat known as Open Orbiter. Like any project, the Testing Team’s project can benefit from structure and management to effectively utilize it’s time and resources. CSCI 297 teaches the skills needed to turn a good idea into successful endeavor. By applying skills such as effective planning, setting milestones, dealing with changes and supervising to an actual project, Open Orbiter has transformed from a pipe dream to a real, obtainable goal. Doing this has turned learning about project management into more that just power points …

Project Management For The Openorbiter Operating Software Team, Kelton Karboviak, Dayln Limesand, Michael Hlas, Eric Berg, Christoffer Korvald, Jeremy Straub, Ronald Marsh, Scott Kerlin

Jeremy Straub

OpenOrbiter is producing a 1-U CubeSat spacecraft1 to facilitate the construction of low-cost2 spacecraft by others in the future. The Operating Software team is in charge of designing and creating the software that controls most of the CubeSat’s operations such as image capturing, storage management, and temperature sensing. The project management deliverables that we have worked on as a team are the Project Definition, Work Breakdown Structure, and the Project Schedule. The Project Definition defines exactly what our project team will be developing including, but not limited to, what the team is in charge of developing, what its not in …

Ground Station Software Team Project Management, Zach Maguire, Marshall Mattingly, Christoffer Korvald, Jeremy Straub, Scott Kerlin

Jeremy Straub

In CSCI 297 class we partake in learning the roles of software team leads and developers. With hands on activities that get us involved in what a real manager of a software team may do such as: defining a project, planning a project, developing a work breakdown structure, estimating the work, developing a project schedule, etc. This work is performed in the context of the OpenOrbiter project which seeks to build a low-cost spacecraft1 that can be produced with a parts budget of approxi-mately $5,0002 by schools worldwide. The ground station software team’s purpose within Open Orbiter project is to …

Enhanced Adaptive Management: Integrating Decision Analysis, Scenario Analysis And Environmental Modeling For The Everglades, Matteo Convertino, Christy Foran, Jeffrey Keisler, Lynn Scarlett, Andrew Loschiavo, Greg Kiker, Igor Linkov

Jeffrey Keisler

Thinking About The Value Of Property From A Sustainable Perspective, Lynne Armitage

Lynne Armitage

No abstract provided.

; Influence Of Credit Policy And Implementation Of Credit Of Tabur Puja Against Development Of Micro Enterprise In 27 Posdaya Throughout Jabodetabek, Homa P. Harahap, M Faizal

Homa. P. Harahap

Research Team, 2014; Influence of Credit Policy and Implementation of Credit of Tabur Puja Against Development of Micro Enterprise in 27 Posdaya throughout Jabodetabek. Generally, the purpose of the research are: 1) Analyzing credit of policy and implementation of credit of tabur puja and their influences to development of micro enterprise in 27 Posdaya throughout Jabodetabek, 2) Testing hypothesis on relationship between analyzing credit policy, and its influences to development of micro enterprise, 3) Testing hypothesis on relationship between Analyzing credit of policy, and its influences to implementation of credit of tabur puja, 4) Testing hypothesis credit of policy and …

Latent Topic Analysis For Predicting Group Purchasing Behavior On The Social Web, Feng-Tso Sun, Martin Griss, Ole J. Mengshoel, Yi-Ting Yeh

Ole J Mengshoel

Improved Decision Making To Underpin The Achievement Of Strategic Goals At The University Of Wollongong, Craig Napier

Craig Napier

The Higher Education sector is an increasingly competitive environment. As such, it is prudent for institutions to seek advantages across all areas that will lead to improved research outcomes, commercial partnerships and student learning experience. The Performance Indicators Unit commenced in 1999 and has evolved to cover seven key perspectives of integration of Information Management across the University, working to avoid the operational silos that can occur within Universities. This session will explore: Utilising network relationship analysis to develop an understanding of the University of Wollongong's collaborations and facilitate improvement The importance of visualisation to translate data into meaningful information …

An Analysis Of Extreme Price Shocks And Illiquidity Among Systematic Trend Followers, Bernard Lee, Shih-Fen Cheng, Annie Koh

Shih-Fen Cheng

We construct an agent-based model to study the interplay between extreme price shocks and illiquidity in the presence of systematic traders known as trend followers. The agent-based approach is particularly attractive in modeling commodity markets because the approach allows for the explicit modeling of production, capacities, and storage constraints. Our study begins by using the price stream from a market simulation involving human participants and studies the behavior of various trend-following strategies, assuming initially that their participation will not impact the market. We notice an incremental deterioration in strategy performance as and when strategies deviate further and further from the …

Decentralized Decision Support For An Agent Population In Dynamic And Uncertain Domains, Pradeep Reddy Varakantham, Shih-Fen Cheng, Thi Duong Nguyen

Shih-Fen CHENG

This research is motivated by problems in urban transportation and labor mobility, where the agent flow is dynamic, non-deterministic and on a large scale. In such domains, even though the individual agents do not have an identity of their own and do not explicitly impact other agents, they have implicit interactions with other agents. While there has been much research in handling such implicit effects, it has primarily assumed controlled movements of agents in static environments. We address the issue of decision support for individual agents having involuntary movements in dynamic environments . For instance, in a taxi fleet serving …

Lagrangian Relaxation For Large-Scale Multi-Agent Planning, Geoff Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Shih-Fen Cheng

Shih-Fen Cheng

Multi-agent planning is a well-studied problem with various applications including disaster rescue, urban transportation and logistics, both for autonomous agents and for decision support to humans. Due to computational constraints, existing research typically focuses on one of two scenarios: unstructured domains with many agents where we are content with heuristic solutions, or domains with small numbers of agents or special structure where we can provide provably near-optimal solutions. By contrast, in this paper, we focus on providing provably near-optimal solutions for domains with large numbers of agents, by exploiting a common domain-general property: if individual agents each have limited influence …

Would Position Limits Have Made Any Difference To The 'Flash Crash' On May 6, 2010, Wing Bernard Lee, Shih-Fen Cheng, Annie Koh

Shih-Fen CHENG

On May 6, 2010, the US equity markets experienced a brief but highly unusual drop in prices across a number of stocks and indices. The Dow Jones Industrial Average (DJIA) fell by approximately 9% in a matter of minutes, and several stocks were traded down sharply before recovering a short time later. Earlier research by Lee, Cheng and Koh (2010) identified the conditions under which a “flash crash” can be triggered by systematic traders running highly similar trading strategies, especially when they are “crowding out” other liquidity providers in the market. The authors contend that the events of May 6, …

Lagrangian Relaxation For Large-Scale Multi-Agent Planning, Geoff Gordon, Pradeep Reddy Varakantham, William Yeoh, Ajay Srinivasan, Hoong Chuin Lau, Shih-Fen Cheng

Shih-Fen CHENG

Multi-agent planning is a well-studied problem with applications in various areas. Due to computational constraints, existing research typically focuses either on unstructured domains with many agents, where we are content with heuristic solutions, or domains with small numbers of agents or special structure, where we can find provably near-optimal solutions. In contrast, here we focus on provably near-optimal solutions in domains with many agents, by exploiting influence limits. To that end, we make two key contributions: (a) an algorithm, based on Lagrangian relaxation and randomized rounding, for solving multi-agent planning problems represented as large mixed-integer programs; (b) a proof of …

Notes On Equilibria In Symmetric Games, Shih-Fen Cheng, Daniel M. Reeves, Yevgeniy Vorobeychik, Michael P. Wellman

Shih-Fen CHENG

In a symmetric game, every player is identical with respect to the game rules. We show that a symmetric 2strategy game must have a pure-strategy Nash equilibrium. We also discuss Nash’s original paper and its generalized notion of symmetry in games. As a special case of Nash’s theorem, any finite symmetric game has a symmetric Nash equilibrium. Furthermore, symmetric infinite games with compact, convex strategy spaces and continuous, quasiconcave utility functions have symmetric pure-strategy Nash equilibria. Finally, we discuss how to exploit symmetry for more efficient methods of finding Nash equilibria.

Distributing Complementary Resources Across Multiple Periods With Stochastic Demand, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau

Shih-Fen CHENG

In this paper, we evaluate whether the robustness of a market mechanism that allocates complementary resources could be improved through the aggregation of time periods in which resources are consumed. In particular, we study a multi-round combinatorial auction that is built on a general equilibrium framework. We adopt the general equilibrium framework and the particular combinatorial auction design from the literature, and we investigate the benefits and the limitation of time-period aggregation when demand-side uncertainties are introduced. By using simulation experiments, we show that under stochastic conditions the performance variation of the process decreases as the time frame length (time …

Designing The Market Game For A Commodity Trading Simulation, Shih-Fen Cheng

Shih-Fen CHENG

In this paper, we propose to design a market game that (a) can be used in modeling and studying commodity trading scenarios, and (b) can be used in capturing human traders' behaviors. Specifically, we demonstrate the usefulness of this commodity trading game in a single-commodity futures trading scenario. A pilot experiment was run with a mixture of human traders and an autonomous agent that emulates the aggregatedmarket condition, with the assumption that this autonomous agent would hint each of its action through a public announcement. We show that the information collected from this simulation can be used to extract the …

Would Price Limits Have Made Any Difference To The 'Flash Crash' On May 6, 2010, Wing Bernard Lee, Shih-Fen Cheng, Annie Koh

Shih-Fen CHENG

On May 6, 2010, the U.S. equity markets experienced a brief but highly unusual drop in prices across a number of stocks and indices. The Dow Jones Industrial Average (see Figure 1) fell by approximately 9% in a matter of minutes, and several stocks were traded down sharply before recovering a short time later. The authors contend that the events of May 6, 2010 exhibit patterns consistent with the type of "flash crash" observed in their earlier study (2010). This paper describes the results of nine different simulations created by using a large-scale computer model to reconstruct the critical elements …

Decision Support For Assorted Populations In Uncertain And Congested Environments, Pradeep Reddy Varakantham, Asrar Ahmed, Shih-Fen Cheng

Shih-Fen Cheng

This research is motivated by large scale problems in urban transportation and labor mobility where there is congestion for resources and uncertainty in movement. In such domains, even though the individual agents do not have an identity of their own and do not explicitly interact with other agents, they effect other agents. While there has been much research in handling such implicit effects, it has primarily assumed deterministic movements of agents. We address the issue of decision support for individual agents that are identical and have involuntary movements in dynamic environments. For instance, in a taxi fleet serving a city, …

An Analysis Of Extreme Price Shocks And Illiquidity Among Trend Followers, Bernard Lee, Shih-Fen Cheng, Annie Koh

Shih-Fen CHENG

We construct an agent-based model to study the interplay between extreme price shocks and illiquidity in the presence of systematic traders known as trend followers. The agent-based approach is particularly attractive in modeling commodity markets because the approach allows for the explicit modeling of production, capacities, and storage constraints. Our study begins by using the price stream from a market simulation involving human participants and studies the behavior of various trend-following strategies, assuming initially that their participation will not impact the market. We notice an incremental deterioration in strategy performance as and when strategies deviate further and further from the …

A Mechanism For Organizing Last-Mile Service Using Non-Dedicated Fleet, Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau

Shih-Fen CHENG

Unprecedented pace of urbanization and rising income levels have fueled the growth of car ownership in almost all newly formed megacities. Such growth has congested the limited road space and significantly affected the quality of life in these megacities. Convincing residents to give up their cars and use public transport is the most effective way in reducing congestion; however, even with sufficient public transport capacity, the lack of last-mile (from the transport hub to the destination) travel services is the major deterrent for the adoption of public transport. Due to the dynamic nature of such travel demands, fixed-size fleets will …

An Agent-Based Commodity Trading Simulation, Shih-Fen Cheng, Yee Pin Lim

Shih-Fen CHENG

In this paper, an event-centric commodity trading simulation powered by the multiagent framework is presented. The purpose of this simulation platform is for training novice traders. The simulation is progressed by announcing news events that affect various aspects of the commodity supply chain. Upon receiving these events, market agents that play the roles of producers, consumers, and speculators would adjust their views on the market and act accordingly. Their actions would be based on their roles and also their private information, and collectively they shape the market dynamics. This simulation has been effectively deployed for several training sessions. We will …

Iterated Weaker-Than-Weak Dominance, Shih-Fen Cheng, Michael P. Wellman

Shih-Fen CHENG

We introduce a weakening of standard gametheoretic δ-dominance conditions, called dominance, which enables more aggressive pruning of candidate strategies at the cost of solution accuracy. Equilibria of a game obtained by eliminating a δ-dominated strategy are guaranteed to be approximate equilibria of the original game, with degree of approximation bounded by the dominance parameter. We can apply elimination of δ-dominated strategies iteratively, but the for which a strategy may be eliminated depends on prior eliminations. We discuss implications of this order independence, and propose greedy heuristics for determining a sequence of eliminations to reduce the game as far as possible …

Niche-Seeking In Influence Maximization With Adversary, Long Foong Liow, Shih-Fen Cheng, Hoong Chuin Lau

Shih-Fen CHENG

In hotly contested product categories dominated by a few powerful firms, it is quite common for weaker or late entrants to focus only on particular segments of the whole market. The rationale for such strategy is intuitive: to avoid direct confrontation with heavy-weight firms, and to concentrate in segments where these weaker firms have comparative advantages. In marketing, this is what people called “go niche or go home". The niche-building strategy may rely on “homophily", which implies that consumers in a particular market segment might possess certain set of attributes that cause them to appreciate certain products better (in other …

Multi-Period Combinatorial Auction Mechanism For Distributed Resource Allocation And Scheduling, Hoong Chuin Lau, Shih-Fen Cheng, Thin Yin Leong, Jong Han Park, Zhengyi Zhao

Shih-Fen CHENG

We consider the problem of resource allocation and scheduling where information and decisions are decentralized, and our goal is to propose a market mechanism that allows resources from a central resource pool to be allocated to distributed decision makers (agents) that seek to optimize their respective scheduling goals. We propose a generic combinatorial auction mechanism that allows agents to competitively bid for the resources needed in a multi-period setting, regardless of the respective scheduling problem faced by the agent, and show how agents can design optimal bidding strategies to respond to price adjustment strategies from the auctioneer. We apply our …

Innovation Rules: A Method For Identifying Disruptive Innovation Opportunities?, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

Innovation Rules or innovation evolution paths are described in this paper as a mechanism for identifying disruptive innovation opportunities. A generic structure of an Innovation Rule is first introduced followed by a discussion using specific instance of an Innovation Rule. The application of Innovation Rules for the discovery of disruptive innovation opportunities is presented next. Two methods that use Innovation Rules as the basis for identifying disruptive innovation opportunities are described next, one for market pull and the other one for technology push. A framework for dealing with Innovation Rules that represent both big and small disruptions is discussed next. …

Consumer Driven Innovation Management, Arcot Desai Narasimhalu, Shekhar Mitra

Arcot Desai NARASIMHALU

The evolution of human society leads to increased affluence and prosperity of certain populations, sometimes at the expense of well-established markets. Market leaders in products and services tend to be so focused on their current customer base that they are caught off guard with the changes in markets created by the evolution. These changes often go unnoticed until it is too late. The change in customer base often requires the repositioning of products and services through innovations, which address new and emerging markets. Some of these changes could potentially result in tectonic market shifts that force innovation managers to involve …

Science And Technology Parks As An Open Innovation Catalyst For Valorization, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

This paper sets out by reviewing the key elements of a Science or Technology Park in the context of open innovation. This is followed by a broad scan of Science and Technology Park activity in South and South East Asia. The paper proceeds to discuss Singapore’s continuous efforts to create new Science and Technology park models and presents a new approach the Singapore Management University has pursued for catalyzing valorization. Insights into and recommendations on key issues related to intellectual property, licensing and venture capital that would be of interest to any Science Park are presented later.

An Extensible Framework For Selecting Incremental Innovations, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

There are several innovation methodologies reported in the literature starting from simple concepts such as technology push and market pull all the way to Disruptive innovation. Almost all these methods do not provide for customizability and extensibility. The method described in this paper is called Quick and Dirty Innovation Method or QaDIM in short to represent the fact that the method can be used rather easily to identify incremental innovation opportunities. The paper will first describe the basic concept, and then proceed to give a sample framework before proceeding to describe the extensibility. The method allows firms and individuals to …

From Cyber Terrorism To State Actors’ Covert Cyber Operations, Jan Kallberg, Bhavani Thuraisingham

Jan Kallberg

Historically, since the Internet started to become a common feature in our lives, hackers have been seen as a major threat. This view has repeatedly been entrenched and distributed by media coverage and commentaries through the years. Instead the first twenty year of the Internet was acceptably secure, due to the limited abilities of the attackers, compared to the threat generated from a militarized Internet with state actors conducting cyber operations. In reality, the Internet have a reversed trajectory for its security where it has become more unsafe over time and moved from a threat to the individual to a …