2015 Annual IEEE Systems Conference (SysCon) Proceedings最新文献

{"title":"OPM & color petri nets based executable system of systems architecting: A building block in FILA-SoS","authors":"Renzhong Wang, S. Agarwal, C. Dagli","doi":"10.1109/SYSCON.2015.7116810","DOIUrl":"https://doi.org/10.1109/SYSCON.2015.7116810","url":null,"abstract":"The ability to coordinate intricate operations in both intelligence, surveillance and reconnaissance (ISR) as well as search and rescue (SAR) operations is a complex issue. Such operations can be described as a System-of-Systems (SoS). Both object process methodology (OPM) and color petri nets (CPN) can be used to create executable architecture models for an SoS. The modeling approach proposed in this study can capture the interactions that occur between either collaborating systems or components. It can also be used to analyze the behavioral aspects of an SoS. OPM models are easy to understand, giving stakeholders the ability to envision architecture's quality and scale. In contrast, the simulation capabilities of CPN can be used for accurate performance assessment. The proposed modelling approach facilitates decision making by providing a better estimation and confidence of the SoS's performance. Development of an executable architecture for an SoS will be of importance to policy makers by discerning, exploring, and adjusting stakeholder's firmly held beliefs, finding new ways for systems to work together, learning more cost effective SoS arrangements and aid in negotiations with component systems to build an SoS.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115925338","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":"Novel method of benchmarking energetic efficiency of industrial systems","authors":"C. Pitis, Z. Al-Chalabi","doi":"10.1109/SYSCON.2015.7116777","DOIUrl":"https://doi.org/10.1109/SYSCON.2015.7116777","url":null,"abstract":"In actual economic environment, business sustainability requires high-efficiency technological processes. While Government and Utilities Demand Side Management (DSM) programs consider energy consumption (EUsed) as a whole, proposed method splits energy in 2 (two) specific components: Ideal energy (EIdeal) and Energy at Risk (E@R). Considering these two types of energy a Benchmark Energy Factor (BEF) can be defined. BEF compares the energy used by industrial system or processes (IS&P), Eused to the minimum energy required to accomplish the task at hand Eideal. Ideal energy (power) can be very accurate calculated by using adequate (well known) laws of physics chosen function of the work type performed by IS&P, therefore a solid (not empirical) reference for benchmarking system is available. That eliminates traditional variability that uses variable baselines as “best practice” or other criteria. Volatile comparative element across an industrial sector is replaced with a theoretical goal with a scientific set-up. BEF enables a new approach towards energy efficiency in industrial sector and help level the playing field for energy management. Proposed method promotes a sustainable and consistent approach making possible to determine accurately the (E@R) under variable material and environmental conditions making possible to manage the energy losses. The rating is then solely based on how close the true energy consumption within an IS&P gets to that ideal state. From economic standpoint, these sustainability concepts favor high-efficiency systems, as any energy-efficient system translates into higher effective productivity. Paper proposes a rating system model to describe the energy-efficiency for any IS&P independent of a comparison with others. BEF enables a reliable rating system model describing energetic efficiency of any IS&P that can be used by U.S. Department of Energy-Energy-Star Certification for Plants Program replacing existent benchmarking practice. Case study assessing IS&P by using (E@R) and (BEF) concepts with development of a new standard is presented.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130444586","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":"Mobile hosting and sensor eco-system for radiation detection","authors":"Richard K. Lomotey, R. Deters, K. Kaletsch","doi":"10.1109/SYSCON.2015.7116839","DOIUrl":"https://doi.org/10.1109/SYSCON.2015.7116839","url":null,"abstract":"Gamma ray is an electromagnetic radiation with a very high frequency that can be biologically hazardous. Most workers in the mining, manufacturing, security, and other industries find themselves in such hazardous environments and governments are trying to contain this issue. While traditionally, high gamma radiation detection sensors have been manufactured to be carried along by users, they are not good access point for actual dosage readings. With the recent advancement in mobile technology, this paper proposes a mobile hosting architecture to enable mobile-to-sensor communication following the edge-based technique. This means the sensor can detect the radiation and send readings to a smartphone device of the user. All other near-by mobile devices (which are authorized) will receive the notification to alert the people in the hazard zone. In this paper, the notification dissemination is developed based on the sequential flow pattern. The proposed work is tested and the results show that detected radiations are sent in soft real-time to the mobile devices.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131556030","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":"Data-driven aircraft estimated time of arrival prediction","authors":"C. Kern, I. Medeiros, T. Yoneyama","doi":"10.1109/SYSCON.2015.7116837","DOIUrl":"https://doi.org/10.1109/SYSCON.2015.7116837","url":null,"abstract":"Predicting an aircraft's Estimated Time of Arrival (ETA) while enroute can be a challenging endeavor. The great number of factors that can affect a flight's punctuality range from things well under the pilot's control, such as flight level and cruise airspeed, all the way to environmental circumstances that are generally very hard to predict, such as weather phenomena and airport congestion. Therefore, aircraft ETA predictions tend to rely heavily on aircraft performance models, along with either parametric or physics-based trajectory models, being only sometimes enhanced by simplistic statistical considerations, such as the average winds encountered in a flight path during a certain period of the year. This work presents a method for enhancing aircraft ETA predictions by applying machine learning techniques, taking into account general information about the flight as well as weather and air traffic. A good amount of effort is put into feature generation and selection, and subsequently a model is built from representative flight, weather and air traffic data, allowing for an increase in prediction accuracy. Some of the challenges that arise from the nature of the data are discussed, such as the fact that weather information is naturally fragmented into a great number of variables, which makes it difficult to extract value from it without a very large number of samples covering all possible scenarios. The results show that it is possible to enhance the ETA predictions obtained from traditional methods by correcting them with a model that takes into account the statistical relationships observed between flight, air traffic and weather information.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126590853","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":"DSM-based complex aerospace projects development process design and optimization","authors":"Weitao Xiong, Cang Liu, Qingsong Zhao, Ke-Wei Yang","doi":"10.1109/SYSCON.2015.7116785","DOIUrl":"https://doi.org/10.1109/SYSCON.2015.7116785","url":null,"abstract":"With the scale and complexity of aerospace projects raising, how to shorten the development time of aero-components has become an emergent problem. In this paper, we focus on the technical needs in Complex Product Development Process Planning (CPDPP) for aerospace projects. The difficulties of designing a complex aero-component result not only from masses of tasks, but also from iterations between coupled tasks. Iteration is a somewhat negative word since it implies re-doing work and often takes a long time to converge during a whole development process. Under the support of researches in the past, this paper specifies the steps of constructing Design structure matrix (DSM) and proposes a method of handling overlapping iteration and sequential iteration, which makes designers integrate all DSMs established from different views and understand products design structure on the whole. Furthermore it proposes a new decoupling method of DSM based on relevant analyses which is evaluated by an index system consisted of sensitivity and changeability.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"601 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133374581","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":"Systems theory, systems thinking","authors":"S. White","doi":"10.1109/SYSCON.2015.7116787","DOIUrl":"https://doi.org/10.1109/SYSCON.2015.7116787","url":null,"abstract":"This paper discusses several important concepts in cybernetics, including holism, transformation, variety, feedback, control, autopoiesis, and nearly decomposable systems. The paper then examines and critiques three systems methodologies that are based on these concepts, and identifies their strengths and weaknesses. The approaches include Forrester's System Dynamics, Checkland's Soft Systems Methodology, and Beer's Viable Systems Model. The last section of the paper discusses using multiple methodologies to understand a complex system, each of which has different capabilities and strengths to support analysis.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133114847","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":"System for local/regional/global joined object recognition","authors":"P. Hershey, Michael Sica, Jason Dudash, Betsy Umberger","doi":"10.1109/SYSCON.2015.7116840","DOIUrl":"https://doi.org/10.1109/SYSCON.2015.7116840","url":null,"abstract":"Recent events highlight the need for technologies that provide timely identification and geo-location of objects lost within a geographic area that could span tens of thousands of square kilometers over both land and water. Mission critical systems for search and rescue require technologies that provide timely identification and geolocation of objects within these vast geographic areas. Even though there are large quantities of Intelligence, Surveillance, Reconnaissance (ISR) data available from sensors on collection platforms, analysts cannot keep pace with the growing amount of sensor data. No tool exists today that funnels that data into the location and recognition information that overcomes these limitations and meets mission critical requirements. This paper introduces a system, called MiData (Multifactor Information Distributed Analytics Technology Aide) Application to Local / Regional / Global Joined Object Recognition (MAJOR), to meet this need. MAJOR applies sensors and analytics technology in a new way to create a novel capability to rapidly screen massive collections of sensor images (still and video) from multiple and diverse databases in order to chip out and fuse Essential Elements of Information (EEIs) that will transform raw data into actionable information from which analysts can locate lost objects in arbitrary geographic locations in a timely manner.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115625996","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":"A systems analysis framework to optimize the utilization of electric vehicles at military facilities","authors":"Michael Jerue, L. D. Otero, A. Fabregas","doi":"10.1109/SYSCON.2015.7116835","DOIUrl":"https://doi.org/10.1109/SYSCON.2015.7116835","url":null,"abstract":"The U.S. Department of Defense (DOD) is the world's largest consumer of petroleum, a commodity whose price volatility makes budget planning extremely difficult. A significant amount of DOD's oil consumption is attributable to its massive fleet of non-tactical vehicles - sedans, trucks and vans used for official duties at installations around the world. Federal statutes require the U.S. military to incorporate alternative-fuel vehicles, including those powered by electricity, in this fleet. This paper uses discrete event simulation built on real-world data from a fleet of sedans at an Air Force base to explain how the U.S. military can procure optimal numbers and types of electric vehicles (EVs) that will maximize financial savings while still meeting mission requirements. Output from simulated operation of the optimized fleet is then used to analyze the sensitivity of operating expense with respect to gasoline and electricity prices. This framework illuminates the path to widespread EV adoption without the time, expense and risk of committing physical assets.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114727554","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":"Multivariate data analysis in hydroelectric system maintenance: A decision evaluation case study","authors":"Reginad Wilson","doi":"10.1109/SYSCON.2015.7116778","DOIUrl":"https://doi.org/10.1109/SYSCON.2015.7116778","url":null,"abstract":"Hydroelectric generation is comprised of complex systems specifically designed to meet the dynamic load. Forced outages and unscheduled maintenance activities severely limit the generation output and oftentimes create undesired environmental effects within the immediate Dam/Reservoir area as well as the downstream surroundings. The introduction of multivariate descriptive data analysis and multi-criteria decision making in the maintenance sphere of hydroelectric generation are designed to eliminate reactive preservation methodologies while economically dispatching the unit. Moreover, the implementation of a correlation matrix for powertrain and auxiliary electrical systems produce a general method to localize the outage cause to a component level. Statistical regression techniques were used to evaluate the differences of inconsistencies between maintenance practices and theoretical systematic preservation methods experienced in the hydroelectric generation industry. The regression forecasting model minimizes the risks typically encountered in systems maintenance and prioritizes capital-intense projects within the power production envelope. Additionally, the application will assist the decision-makers with systematic and orderly ranking of projects competing for scarce resources (labor, material, and funding) over a multi-year period in a constrained power production environment. The identification of inadequate performing assets and its cost effectiveness throughout the electrical footprint is an important tenet of the program.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123713582","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":"Structure-based System Dynamics analysis of engineering design processes","authors":"D. Kasperek, Christian Lichtenberg, S. Maisenbacher, C. Hollauer, M. Omer, M. Maurer","doi":"10.1109/SYSCON.2015.7116801","DOIUrl":"https://doi.org/10.1109/SYSCON.2015.7116801","url":null,"abstract":"Within this work a case study is presented in which the concept of structure-based System Dynamics analysis is applied to an engineering design process. The structure-based System Dynamics analysis approach uses structural Multiple-Domain Matrix models as a basis to derive System Dynamics models which are able depict the behavior of the engineering design processes. The implications from the behavioral models can be used to analyze and optimize the structure of the underlying process. The development of an e-bike sharing system within a student project was used as basis for the case study to answer the question if the structure-based System Dynamics analysis approach can be successfully applied to model the behavior of the observed engineering design process. Based on the definition of this initial research question, the instruments to conduct the case are developed, the data is gathered and consequently analyzed. The simulation results of the engineering design process are presented, compared to the real process and finally discussed. Thereby benefits, challenges and further areas of research are identified.","PeriodicalId":251318,"journal":{"name":"2015 Annual IEEE Systems Conference (SysCon) Proceedings","volume":"52 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122012815","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}