Engineering Commons^™

Ieee Cibcb 2014-Computational Intelligence In Bioinformatics And Computational Biology [Conference Reports], Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

The 2014 Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) was held at the Hilton Hawaiian Village, Honolulu, from May 21-25. The papers presented at the conference covered the full range of computational intelligence techniques and applications. James Hughes from Brock University received the best student paper award from General Chair Steven Corns for his paper titled, 'Recentering and Restarting Genetic Algorithms Variations for DNA Fragment Assembly.' The best overall paper was awarded to Jennifer Hallinan, Owen Gilfellon, Goksel Misirli and Anil Wipat, all of Newcastle University, for their work 'Tuning Receiver Characteristics in Bacterial Quorum Communication: An …

Part Viii: Health Care Analytics: Preface, Cilan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

A Study Of The Effect Of Basic Network Characteristics On System-Of-System Failure Propagation, Charles O. Adler, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Real life examples of large system level failures in complex networked system are fairly common, with national and regional level power grids providing numerous cases where local failures have resulted in broad systemic failures. As large networked systems-of-systems are increasingly common, their susceptibility to large scale failures is of significant interest. This paper presents the results of a study using a simple model to investigate the impacts of basic architecture characteristics on the spread of failures through a system-of-system after an initial failure occurs. The study reported here uses a non-symmetric inter-grid only failure model to investigate the sensitivity of …

A Hybrid Neuro-Fuzzy Model To Forecast Inflation, David Lee Enke, Nijat Mehdiyev

Engineering Management and Systems Engineering Faculty Research & Creative Works

One of the key issues in constructing monetary policy is accurate prediction of the inflation level. The complex behavior and non-linear nature of the financial markets makes it hard to forecast the inflation rate precisely. This paper introduces a hybrid model that attempts to forecast the inflation rate with a combination of a subtractive clustering technique and a fuzzy inference neural network to overcome the shortcomings of the individual methodologies. Selected macroeconomic factors were used to predict the historical CPI data from the US Markets. The results of the proposed hybrid model are measured in RMSE.

Volatility Forecasting Using A Hybrid Gjr-Garch Neural Network Model, Soheil Almasi Monfared, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Volatility forecasting in the financial markets, along with the development of financial models, is important in the areas of risk management and asset pricing, among others. Previous testing has shown that asymmetric GARCH models outperform other GARCH family models with regard to volatility prediction. Utilizing this information, three popular Neural Network models (Feed-Forward with Back Propagation, Generalized Regression, and Radial Basis Function) are implemented to help improve the performance of the GJR (1,1) method for estimating volatility over the next forty-four trading days. During training and testing, four different economic cycles have been considered between 1997-2011 to represent real and …

Joint Decisions On Inventory Replenishment And Emission Reduction Investment Under Different Emission Regulations, Ayşegül Toptal, Haşim Özlü, Dinçer Konur

Engineering Management and Systems Engineering Faculty Research & Creative Works

Carbon emission regulation policies have emerged as mechanisms to control firms' carbon emissions. To meet regulatory requirements, firms can make changes in their production planning decisions or invest in green technologies. In this study, we analyze a retailer's joint decisions on inventory replenishment and carbon emission reduction investment under three carbon emission regulation policies. Particularly, we extend the economic order quantity model to consider carbon emissions reduction investment availability under carbon cap, tax and cap-and-trade policies. We analytically show that carbon emission reduction investment opportunities, additional to reducing emissions as per regulations, further reduce carbon emissions while reducing costs. We …

Multi-Agent Based Architecture For Acknowledged System Of Systems, Siddhartha Agarwal, Lou E. Pape, Nil Kilicay-Ergin, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Negotiation and collaboration issues in large organizations, with centralized control, across the globe, are becoming more complex with each passing day. The Acknowledged System of Systems (SoS) is a new approach that addresses some of these issues in a systematic, efficient manner. This paper proposes a hierarchical architectural framework to support Acknowledged SoS architecting and analysis for a Department of Defense (DoD) Acquisition process. A major challenge of the successful planning and evolution of an Acknowledged SoS is the lack of understanding of the impact of presence or absence of a system and its interface with another constituent system on …

Rmse-Elm: Recursive Model Based Selective Ensemble Of Extreme Learning Machines For Robustness Improvement, Bo Han, Bo He, Mengmeng Ma, Tingting Sun, Tianhong Yan, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

For Blended Data, the Robustness of Extreme Learning Machine (Elm) is So Weak Because the Coefficients (Weights and Biases) of Hidden Nodes Are Set Randomly and the Noisy Data Exert a Negative Effect. to Solve This Problem, a New Framework Called "RMSE-ELM" is Proposed in This Paper. It is a Two-Layer Recursive Model. in the First Layer, the Framework Trains Lots of Elms in Different Ensemble Groups Concurrently and Then Employs Selective Ensemble Approach to Pick Out an Optimal Set of Elms in Each Group, Which Can Be Merged into a Large Group of Elms Called Candidate Pool. in the …

Investigation Of Mirror Image Bias: Evidence For The Use Of Psychophysiological Measures As Indicators Of Cognitive Heuristics, Caroline R. Salchak

Browse all Theses and Dissertations

The Mirror Imaging Bias (MIB) is gaining attention as a prominent quality factor in analysts' performance. MIB is an irrationality in which analysts perceive and process information through the filter of personal experience. As evidenced by notable historical events, the consequences of this bias can be dramatic. A way to understand MIB in humans is sought. How analysts analyze data, are trained, and interact with biases is explored. An experiment testing for the appearance of MIB was designed and completed. Measures from an eye tracker as well as physiological measures were collected. Results show a significant correlation between pupil diameter …

Painted Rumble Stripes: Alternatives To Raised Pavement Markers (Rpms), Thomas M. Brennan Jr, Stuart R. Mikey, Darcy M. Bullock

JTRP Posters

This poster highlights research completed by the Joint Transportation Research Program (JTRP) led by Darcy Bullock, Lyles School of Civil Engineering, Purdue University, for JTRP Project SPR-3528, "Alternatives to Raised Pavement Markers (RPMs)." The poster includes photos taken at a construction site on State Road 25 located near Shadeland, Indiana. The top photo demonstrates how the center line corrected a driver when snow covered to avoid oncoming traffic. Photo was taken on US 231 near Country Road 800 in Tippecanoe County.

2013-14 Indiana Interstate Mobility Summary, Steve M. Remias, Howell Li, Darcy M. Bullock

JTRP Posters

These posters highlight the speed and mobility metrics on four of Indiana’s interstates (I-94, I-65, I-465, and I-70). The posters are part of the effort by the Indiana Department of Transportation to characterize mobility concerns on the statewide interstate system.

Striping Truck Utilization Project, Jon R. Padfield, James Handy

JTRP Posters

This poster highlights research completed by the Joint Transportation Research Program (JTRP) led by Jon Padfield and James Handy, Purdue University for JTRP project SPR-3722, “Striping Truck Utilization for Crawfordsville and Greenfield District.” This poster highlights the transformation of striping trucks at both districts using Value Stream Mapping (VSM) through the Technical Assistance Program.

Prioritizing Offshore Vendor Selection Criteria For The North American Geospatial Industry, Simon Wolfgang Musaeus

Walden Dissertations and Doctoral Studies

The U.S. market for geospatial services totaled US $2.2 billion in 2010, representing 50% of the global market. Data-processing firms subcontract labor-intensive portions of data services to offshore providers in South and East Asia and Eastern Europe. In general, half of all offshore contracts fail within the first 5 years because one or more parties consider the relationship unsuccessful. Despite the high failure rates, no study has examined the offshore vendor selection process in the geospatial industry. The purpose of this study was to determine the list of key offshore vendor selection criteria and the efficacy of the analytic hierarchy …

Development And Application Of An Analyst Process Model For A Search Task Scenario, Hendrickson K. Karl

Browse all Theses and Dissertations

A key intelligence analyst role in open source search is the transformation of data into understanding. Better comprehension is needed of how new tools impact the analyst search process. The use of function analysis, heuristic analysis, and a usability study combine to provide the basis for developing an analyst process model, which affords the researcher with a structure to measure the impact of tools and expertise in performing a search task. The experiment utilized representative analyst scenario tasks in comparing baseline tools with the Geospatial Open Search Toolkit (GOST). The results show error rates increase when using a new toolset …

Investigation Of Capabilities Of Observers In A Watch Window Study, Ositadimma Nnanna Eziolisa

Browse all Theses and Dissertations

Due to an abundance of data and dynamic nature of tasks, challenges with information retrieval in surveillance and target identification tasks have risen in today's Intelligence, Surveillance, and Reconnaissance (ISR) community. In this study, two variables, Area of Coverage and Amount of Activity (AOC/ACT), are manipulated to study their effects on the number of Watch Windows an observer can monitor. This research describes the analyst's task model, and explains how the level of AOC/ACT and number of Watch Windows affects the analyst's cognitive load. Results showed a significant difference in performance and physiological indicators of workload between high AOC/ACT conditions …

Use Of Vibrotactile Feedback And Stochastic Resonance For Improving Laparoscopic Surgery Performance, Robert Douglas Hoskins

Browse all Theses and Dissertations

Vibrotactile feedback, used as sensory substitution for loss of haptic feedback, has been utilized to improve performance in manual control, teleoperation and during minimally invasive surgical tasks. Stochastic resonance (SR), introduced into the human control system as white noise at a sub-threshold level, has shown promise to improve the sensitivity of tactile receptors resulting in enhancement of performance for a variety of manual tracking and sensorimotor tasks. The purpose of this study was to determine if SR could improve performance (accuracy, speed) in a simulated laparoscopic palpation task and to compare it to vibrotactile feedback (VIB). It was hypothesized that …

Improving Motion Imagery Analysis: Investigating Detection Failures, Remembering To Perform Deferred Intentions, Michael R. Nickels

Browse all Theses and Dissertations

Advances in automation have led to an increased prevalence of human multitasking in intelligence, surveillance, and reconnaissance operations. Despite advancements in computer-vision research, almost all video data collected must be processed by human analysts. Traditionally, analysts are plagued with the presence and possible overabundance of interruptions that fundamentally leads to multitasking while processing video data. It is currently unknown what factors influence decision making in completing primary tasks or handling interruptions. In this study, we investigated the performance effects and the resulting design implications of varying the number of concurrent prospective memory tasks and encoding of one large group of …

A Theoretical Adaptive Autonomy Model: Real-Time Physiological Assessment Of Cognitive Workload, Dakota C. Evans

Browse all Theses and Dissertations

Increases in modern-day system complexity, has led for a need to improve human performance and the interaction between the two. Three objectives: (1) to investigate physiological measures as indicators of cognitive workload, (2) to assess cognitive workload during human interaction with different autonomy levels, and (3) to develop a theoretical model for an adaptive autonomous system that changes with real-time cognitive workload measures were addressed. This effort seeks to improve human computer interaction by providing the human with the acceptable level of computer automation based on real-time cognitive state. Two experiments involved collection of measures of subject physiology, subjective survey …

Autonomous Capabilities For Small Unmanned Aerial Systems Conducting Radiological Response: Findings From A High-Fidelity Discovery Experiment, Brittany Duncan, Robin Murphy

School of Computing: Faculty Publications

This article presents a preliminary work domain theory and identifies autonomous vehicle, navigational, and mission capabilities and challenges for small unmanned aerial systems (SUASs) responding to a radiological disaster. Radiological events are representative of applications that involve flying at low altitudes and close proximities to structures. To more formally understand the guidance and control demands, the environment in which the SUAS has to function, and the expected missions, tasks, and strategies to respond to an incident, a discovery experiment was performed in 2013. The experiment placed a radiological source emitting at 10 times background radiation in the simulated collapse of …

Generic Instance-Specific Automated Parameter Tuning Framework, Linda Lindawati

Dissertations and Theses Collection (Open Access)

Meta-heuristic algorithms play an important role in solving combinatorial optimization problems (COP) in many practical applications. The caveat is that the performance of these meta-heuristic algorithms is highly dependent on their parameter configuration which controls the algorithm behaviour. Selecting the best parameter configuration is often a difficult, tedious and unsatisfying task. This thesis studies the problem of automating the selection of good parameter configurations. Existing approaches to address the challenges of parameter configuration can be classified into one-size-fits-all and instance-specific approaches. One-size-fits-all approaches focus on finding a single best parameter configuration for a set of problem instances, while instance-specific approaches …

Outsourcing Management Of Engineering Work In Petroleum Exploration And Production, Panunee Thongprasom

Chulalongkorn University Theses and Dissertations (Chula ETD)

Since there is no official outsourcing management system in the studied Petroleum Exploration and Production company, many outsourcing projects under the studied company have been facing with a lot of schedule delays. Therefore, the purpose of this research is to find an appropriate and efficient outsourcing management system which consists of workflow and procedure including supporting tools and techniques for using with outsourcing engineering work in the studied company to minimize the delays. The approach is to review outsourcing management practices and recommended tools from literatures and gather information from the studied company’s outsourcing experiences including best practices to develop …

Simulating Real-World Work Experience In Engineering Capstone Courses, Thomas H. Deagostino, Vukica M. Jovanovic, M. Brian Thomas

Engineering Technology Faculty Publications

Experiential learning and cooperative education provide students with the necessary tools to succeed in the workplace by simulating their future working environment. Various studies have shown that many graduates have gaps related to their so called "soft skills", which are related to teamwork, time management, working under pressure and tight deadlines. The main purpose of the inclusion of the industry expert in senior design discussions is to provide meaningful feedback through a competitive led by industry practitioners. In this simulation, the senior engineering students take on the role of actual engineering job functions, on a demanding, continuous basis for the …

A Multidisciplinary Techno-Economic Decision Support Tool For Validating Long-Term Economic Viability Of Biorefining Processes, Sumesh Sukumara

Theses and Dissertations--Chemical and Materials Engineering

Increasing demand for energy and transportation fuel has motivated researchers all around the world to explore alternatives for a long-term sustainable source of energy. Biomass is one such renewable resource that can be converted into various marketable products by the process of biorefining. Currently, research is taking strides in developing conversion techniques for producing biofuels from multiple bio-based feedstocks. However, the greatest concern with emerging processes is the long-term viability as a sustainable source of energy. Hence, a framework is required that can incorporate novel and existing processes to validate their economic, environmental and social potential in satisfying present energy …

A Human-Centric Approach To Data Fusion In Post-Disaster Managment: The Development Of A Fuzzy Set Theory Based Model, Mubarak Banisakher

Electronic Theses and Dissertations

It is critical to provide an efficient and accurate information system in the post-disaster phase for individuals' in order to access and obtain the necessary resources in a timely manner; but current map based post-disaster management systems provide all emergency resource lists without filtering them which usually leads to high levels of energy consumed in calculation. Also an effective post-disaster management system (PDMS) will result in distribution of all emergency resources such as, hospital, storage and transportation much more reasonably and be more beneficial to the individuals in the post disaster period. In this Dissertation, firstly, semi-supervised learning (SSL) based …

Identifying And Overcoming The Barriers To Sustainable Construction, Cristin Szydlik

Doctoral Dissertations

"Sustainable construction has become increasingly more prevalent over the last decade. All federal and most state government buildings are mandated to achieve Leadership in Energy and Environmental Design (LEED) certification (at the silver level at a minimum). Although sustainable construction is increasingly more common, there are still barriers to the successful completion of a sustainable project, specifically with regards to projects achieving LEED certification. There are still holes in the guidance on how to successfully achieve LEED certification. Even though government agencies have mandated LEED certification, the existing barriers are preventing buildings from achieving certification, which can delay the building …

A Contingency Base Camp Framework Using Model Based Systems Engineering And Adaptive Agents, Dustin Scott Nottage

Doctoral Dissertations

"This research investigates the use of adaptive agents and hybridization of those agents to improve resource allocation in dynamic systems and environments. These agents are applied to contingency bases in an object oriented approach utilizing Model-based Systems Engineering (MBSE) processes and tools to accomplish these goals. Contingency bases provide the tools and resources for the military to perform missions effectively. There has been increasing interest in improving the sustainability and resilience of the camps, as inefficiencies in resource usage increases. The increase in resource usage leads to additional operational costs and added danger to military personnel guarding supply caravans.

The …

การศึกษากลยุทธ์ทางธุรกิจของมิเตอร์อัจฉริยะ, ธนพินท์ มังคละภาณุพงศ์

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์เล่มนี้เป็นการศึกษาแผนกลยุทธ์ทางธุรกิจของมิเตอร์อัจฉริยะ ที่ใช้ Balanced Scorecard ในการแปลงกลยุทธ์ไปสู่ภาคปฏิบัติ โดยมีวัตถุประสงค์เพื่อหาดัชนีชี้วัด (Key Performance Indicator: KPI) และ ปัจจัยหลักแห่งความสำเร็จ (Critical Success Factor: CSF) สำหรับขั้นตอนในการทำ Balanced Scorecard จะเริ่มจากการกำหนดวิสัยทัศน์ และพันธกิจ ของธุรกิจมิเตอร์อัจฉริยะ หลังจากนั้นทำการวิเคราะห์ SWOT Analysis แล้วจับคู่ให้อยู่ในรูป TOWS Matrix เพื่อหาวัตถุประสงค์และตัวชี้วัดในการจัดทำแผนที่เชิงกลยุทธ์ (Strategy Map) โดยมีกรอบการวัดและประเมินผลของธุรกิจ ผ่านมุมมองการวัดผล 4 ด้าน คือ มุมมองการเรียนรู้และการเติบโต มุมมองกระบวนการภายใน มุมมองด้านลูกค้า และมุมมองด้านการเงิน โดยมีดัชนีชี้วัดทั้งหมด 32 ตัว และมีปัจจัยหลักแห่งความสำเร็จทั้งหมด 20 ตัว ตัวอย่างเช่นดัชนีชี้วัดและปัจจัยหลักสู่ความสำเร็จของมุมมองด้านการเรียนรู้และเติบโตคือ ความปลอดภัยของพนักงาน และจำนวนครั้งของการเกิดอุบัติเหตุในสายการผลิต มุมมองด้านกระบวนการภายในคือ อัตราของเสียจากการผลิตและจำนวนของเสียที่เกิดขึ้นในสายการผลิต มุมมองด้านลูกค้า คือ อัตราการส่งคืนสินค้าและจำนวนมิเตอร์อัจฉริยะที่ถูกส่งคืน และมุมมองด้านการเงิน คือ อัตราส่วนรายได้ในส่วนของลูกค้ารายใหม่และจำนวนลูกค้ารายใหม่ที่เพิ่มขึ้น โดยขั้นตอนสุดท้ายจะเป็นการกำหนดแผนปฏิบัติการ (Action Plan) ของธุรกิจเพื่อกำหนดหน้าที่ความรับผิดชอบ ขั้นตอนในการดำเนินงาน การควบคุมและติดตามผลการดำเนินงาน ผลจากการศึกษาโดยการสำรวจความคิดเห็นจากผู้เชี่ยวชาญพบว่า แผนยุทธศาสตร์และกลยุทธ์จะใช้ได้ในช่วงการเริ่มต้นธุรกิจ โดยมีแบบแผนปฎิบัติการในการควบคุมการดำเนินงานตามตัวชี้วัดในแต่ละมุมมอง

การศึกษาปัจจัยที่ก่อให้เกิดตามดในกระบวนการหล่อฉีดแรงดันสูง, แพรวดี แก้วคงคา

Chulalongkorn University Theses and Dissertations (Chula ETD)

วัตถุประสงค์ของงานวิจัยนี้คือการศึกษาปัจจัยที่ส่งผลต่อตามดในกระบวนการหล่อฉีดแรงดันสูงอลูมิเนียม R14 สำหรับคอมเพรสเซอร์ของชิ้นส่วนยานยนต์ ที่แรงดันในการฉีด 75 ถึง 85 เมกกาปาสคาล ความเร็วในการเคลื่อนที่ของลูกสูบที่ความเร็วต่ำ 0.16 ถึง 0.30 เมตรต่อวินาที ความเร็วในการเคลื่อนที่ของลูกสูบที่ความเร็วสูง 1.8 ถึง 3.0 เมตรต่อวินาที ระยะที่ลูกสูบเคลื่อนที่ด้วยความเร็วสูง 320 ถึง 340 มิลลิเมตร และแรงดันสุญญากาศ -93.0 ถึง -100.0 กิโลปาสคาล โดยการตรวจสอบการวิเคราะห์พื้นผิวตอบสนองกับวิธีบ็อกซ์-เบหน์เคน การออกแบบเพื่อศึกษาปัจจัยและความสัมพันธ์ของพารามิเตอร์และหาสภาวะที่เหมาะสมเพื่อลดสัดส่วนตามดให้เกิดขึ้นน้อยที่สุด จากผลการทดลองพบว่าทั้ง 5 ปัจจัยมีอิทธิพลต่อการเกิดข้อบกพร่องประเภทตามดอย่างมีนัยสำคัญที่ระดับความเชื่อมั่น 95 เปอร์เซ็นต์ ส่งผลให้สัดส่วนของเสียตามดลดลงเหลือ 5.18 เปอร์เซ็นต์จากการตั้งค่าสภาวะที่เหมาะสมจากการทดลองได้แก่ แรงดันในการฉีดคือ 85 เมกกะปาสกาล การเคลื่อนที่ของลูกสูบที่ความเร็วต่ำคือ 0.30 เมตรต่อวินาที การเคลื่อนที่ของลูกสูบที่ความเร็วสูงคือ 2.49 เมตรต่อวินาที ระยะที่ลูกสูบเคลื่อนที่ด้วยความเร็วสูงคือ 326.81 มิลลิเมตร และแรงดันสุญญากาศที่ -97.28 กิโลปาสกาล

Risk Minimization Of Disjunctive Temporal Problem With Uncertainty, Hoong Chuin Lau, Tuan Anh Hoang

Research Collection School Of Computing and Information Systems

The Disjunctive Temporal Problem with Uncertainty (DTPU) is a fundamental problem that expresses temporal reasoning with both disjunctive constraints and contingency. A recent work (Peintner et al, 2007) develops a complete algorithm for determining Strong Controlla- bility of a DTPU. Such a notion that guarantees 100% confidence of execution may be too conservative in practice. In this paper, following the idea of (Tsamardinos 2002), we are interested to find a schedule that minimizes the risk (i.e. probability of failure) of executing a DTPU. We present a problem decomposition scheme that enables us to compute the probability of failure efficiently, followed …

Strategic Decision Support System Using Heuristic Algorithm For Practical Outlet Zones Allocation To Dealers In A Beer Supply Distribution Network, Michelle Lee Fong Cheong

Research Collection School Of Computing and Information Systems

We consider a two-echelon beer supply distribution network with the brewer replenishing the dealers and the dealers serving the outlet zones directly, for multiple product types. The allocation of the outlet zones to the dealers will determine the quantity of products the brewer replenishes each dealer, which will in turn impact the total warehousing and transportation costs. The non-linear optimization model formulated is difficult to solve to optimality, and the model itself does not include practical business considerations in the distribution business. A heuristics algorithm is designed and easily implemented using spreadsheets with Visual Basic programming to effectively and efficiently …