2014 Systems and Information Engineering Design Symposium (SIEDS)最新文献

{"title":"Increasing fuel savings of Class-8 tractor-trailers by reducing aerodynamic drag","authors":"Ziza Machado, C. VanWingerden, Jordan Pappas, B. Mcalexander, John LeMaire, O. Pierrakos, H. Watson","doi":"10.1109/SIEDS.2014.6829895","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829895","url":null,"abstract":"Class-8 tractor-trailers consume about 75% of the total fuel used by trucks which, combined with Class-7 tractor-trailers, equates to 11.3% of total oil. This high of fuel usage presents an economic problem for companies, an environmental concern as CO2 emissions are released, a societal issue as these tractor-trailers transports all sorts of goods, and a technical challenge for improvement of its fuel efficiency. Reducing aerodynamic drag, therefore, increases fuel savings and reduces CO2 emissions. For example, a 10% reduction of drag results in a 6% savings in fuel that equates to a decrease of 10,764 pounds of CO2 emissions per tractor-trailer per year. Aerodynamic drag is the sum of pressure and skin friction drag. Although aerodynamic studies suggest that surface modifications and gap coverage (between the truck and trailer) can lead to the reduction of aerodynamic drag on Class-8 tractor-trailers, no existing commercial technologies presently exist. Existing technologies, such as side skirts and trailer tails, are primarily aimed at reducing pressure drag. This paper presents the application of a rigorous design process to develop novel drag reduction concepts focused on reducing skin friction drag and pressure drag while focusing on surface concepts and gap region concepts. Metrics of concept evaluation are also based on environmental impacts, manufacturability, maintainability, reliability, usage and disposal, and cost effectiveness.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"379 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133399675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated prediction of adverse post-surgical outcomes","authors":"Katharine Hergenroeder, T. Carroll, A. Chen, Caroline Iurillo, Peter Kim, Zachary Terner, M. Gerber, Donald E. Brown","doi":"10.1109/SIEDS.2014.6829880","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829880","url":null,"abstract":"Patients undergoing surgery can experience a range of adverse events, such as renal and cardiac injury, respiratory failure, and death. This study focuses on discovering relationships between perioperative physiological data and adverse post-surgical outcomes, with the goal of developing strategies to reduce the severity and frequency of these conditions. Analyzing the patient's preoperative demographic data, such as age and race, and perioperative physiologic data, such as blood pressure and anesthesia dosage, we use statistical models to predict whether a patient under anesthesia will develop renal or cardiac injury, respiratory failure, or death. Specifically, we compare generalized linear models, random forest models, and L1 regularized logistic regression models in predicting these adverse events. For each event, the random forest model generally outperformed its competitors, as shown in receiver operating characteristic (ROC) curves and evidenced by the higher area under the curve (AUC) values of 0.85, 0.86, 0.85, and 0.82 for death, renal injury, respiratory failure, and cardiac injury, respectively. However, score tables indicate that at certain thresholds, the L1 regularized logistic regression predicts fewer false negatives than the random forest models. In general, our findings show the existence of a relationship between perioperative predictors and post-surgical complications. This relationship could provide the foundation for a surveillance and alert system.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130237227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of waste reduction and diversion as alternatives to landfill disposal","authors":"K. Lai, Linda Li, Sammy Mutti, R. Staring, M. Taylor, Jun Umali, S. Pagsuyoin","doi":"10.1109/SIEDS.2014.6829877","DOIUrl":"https://doi.org/10.1109/SIEDS.2014.6829877","url":null,"abstract":"Although the Region of Waterloo implements a waste recycling program as part of its compliance with the 2004 Ontario Waste Diversion Goal a large fraction of its municipal solid waste ends up in the landfill. Landfill waste disposal adversely impacts the environment through the release of air pollutants and greenhouse gases to the atmosphere, and through the generation of leachate that may contaminate water sources. Landfills also require large land areas, which limit their long-term sustainability. This paper presents a quantitative comparison of the environmental, economic, and social impacts of the current waste disposal program in the Region of Waterloo and of three waste management alternatives: (i) expansion of the organics collection program with biogas recovery, (ii) expansion of the recycling program, and (iii) incineration with energy recovery. Environmental impacts were evaluated by performing a life cycle analysis using the US EPA's Waste Reduction Model. Economic impacts were quantified using cost-benefit analysis; social impacts were evaluated using a previously developed scoring scheme. Finally, the overall impacts were ranked and analyzed using the Saaty's Analytical Hierarchy Process (AHP) to determine an optimal alternative to landfill disposal. Results indicate that incineration with energy recovery is ranked the highest overall in all three evaluation criteria categories. Incineration results in the greatest gas reductions (86%) and the lowest cost to implement. Incineration also ranks the highest in the social impacts ranking due to reductions in foul odors, potential for attracting disease vectors, and land requirements. Expanding the recycling collection improves greenhouse gas emissions by 41% of the current method; it also reduces disposal costs. Overall, all three alternatives are better than the current waste disposal method, and incineration is deemed the optimal waste management option for the Region of Waterloo.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122880337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advertising.com: Mobile optimization and predictive segments","authors":"Andrew Strauss, R. Hayes, Colin Leslie, Elizabeth Stettinius, Sachin Tewari, James Valeiras, W. Scherer","doi":"10.1109/sieds.2015.7117016","DOIUrl":"https://doi.org/10.1109/sieds.2015.7117016","url":null,"abstract":"Today the advertising industry is becoming increasingly dependent on the Internet to deliver advertisements to viewers. Third party advertising networks such as Advertising.com, a division of AOL Inc., are utilizing targeted advertising strategies to make Internet advertising more profitable. Targeted advertising utilizes cookies to track users and target them with advertisements based on attributes such as site history and past advertisements viewed. Chad Gallagher, the Mobile Team lead for Advertising.com, projects that mobile Internet usage will surpass computer Internet usage by 2015. This major shift will render the traditional cookie based targeting model obsolete, as the majority of mobile devices do not store cookies. Consequently, the development of new mobile targeting strategies has become a top priority for companies such as Advertising.com in order to increase the profitability of online advertising. Predictive segments power the Internet advertising targeting strategy, but with cookies no longer available new variables need to be used for the predictive segments aimed at mobile users. This analysis seeks to determine the predictive power of the information unique to mobile users, in particular cellular provider and model of phone. This analysis was conducted utilizing data from two telecom companies' advertising campaigns. The findings indicate that for telecom advertising, service provider and model of phone are statistically significant predictors of a consumer's likelihood to convert. From these findings, the authors of this paper recommend the incorporation of mobile variables into predictive segments as they provide significant insight into consumer patterns. With the addition of the team's work, Advertising.com will be able to boost their revenue per thousand impressions (RPM) from their mobile Internet traffic, which is currently their least valuable but most rapidly growing business segment. Future researchers should analyze the significance of these variables on advertising for nontelecom products, but as telecom companies are a major driver of mobile advertising, their campaigns proved to be a logical starting point.","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127750969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PDF Not Yet Available In IEEE Xplore","authors":"","doi":"10.1109/telsks.2007.4376065","DOIUrl":"https://doi.org/10.1109/telsks.2007.4376065","url":null,"abstract":"The document that should appear here is not currently available. IEEE Xplore is working to obtain a replacement PDF. That PDF will be posted as soon as it is available. We regret any inconvenience in the meantime","PeriodicalId":441073,"journal":{"name":"2014 Systems and Information Engineering Design Symposium (SIEDS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127484473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}