139 research outputs found

    Feasibility of a neural network-based virtual sensor for vehicle unsprung mass relative velocity estimation

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    With the automotive industry moving towards automated driving, sensing is increasingly important in enabling technology. The virtual sensors allow data fusion from various vehicle sensors and provide a prediction for measurement that is hard or too expensive to measure in another way or in the case of demand on continuous detection. In this paper, virtual sensing is discussed for the case of vehicle suspension control, where information about the relative velocity of the unsprung mass for each vehicle corner is required. The corresponding goal can be identified as a regression task with multi-input sequence input. The hypothesis is that the state-of-art method of Bidirectional Long–Short Term Memory (BiLSTM) can solve it. In this paper, a virtual sensor has been proposed and developed by training a neural network model. The simulations have been performed using an experimentally validated full vehicle model in IPG Carmaker. Simulations provided the reference data which were used for Neural Network (NN) training. The extensive dataset covering 26 scenarios has been used to obtain training, validation and testing data. The Bayesian Search was used to select the best neural network structure using root mean square error as a metric. The best network is made of 167 BiLSTM, 256 fully connected hidden units and 4 output units. Error histograms and spectral analysis of the predicted signal compared to the reference signal are presented. The results demonstrate the good applicability of neural network-based virtual sensors to estimate vehicle unsprung mass relative velocity

    Vehicle suspension force and road profile prediction on undulating roads

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    Controllable suspension systems have the capability of changing suspension forces. One control approach is to define a cost function with the aim of optimising either ride comfort or handling. Such controllers are usually reactive and not pro-active. Controllers can benefit significantly by having a priori knowledge of the effect that changing the suspension settings will have on the suspension forces. This is especially true for vehicles traversing very rough terrain. This paper addresses the a priori knowledge needed by predicting what the suspension forces will be before changing the suspension setting. The proposed approach involves estimating sprung and unsprung mass acceleration, estimating the road excitation, and then predicting the suspension forces. A quarter car model is used to illustrate the concept. Thereafter, the concept is extended to a nonlinear multibody dynamics model and finally validated experimentally. Results indicate that the suspension force in a different suspension modes can be predicted before switching suspension modes.https://www.tandfonline.com/loi/nvsd202021-06-04hj2020Mechanical and Aeronautical Engineerin

    Proceedings, MSVSCC 2016

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    Proceedings of the 10th Annual Modeling, Simulation & Visualization Student Capstone Conference held on April 14, 2016 at VMASC in Suffolk, Virginia

    Economic Feasibility, General Economic Impact and Implications of a Free Trade Agreement Between the European Union and Armenia

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    This study of the feasibility, costs and benefits of a free trade agreement between the EU and Armenia was conducted from July 2007 to April 2008 under contract with the European Commission. The first meeting in Brussels in September 2007 with Staff members of Directorates-General for Trade, External Relations, Economic and Financial Affairs, Internal Market and Services, Competition, Enterprise and Industry proved indispensable in our work on this report. During mission to Yerevan in October 2007 the consultations were held with a number of ministries, research institutes and business organizations. We greatly benefited from consultations with the representatives of the Ministry of Energy, Customs State Committee, Ministry of Trade and Economic Development, Chamber of Commerce and Industry, Union of Manufacturers and Businessmen (Employers) of Armenia, National Institute of Standards, Wine Producers Union, Ministry of Finance and Economy AEPLAC Ministry of Foreign Affairs, Armenian Development Agency UNDP, IMF and the World Bank. The European Commission Delegation to Armenia provided us with extensive information, consultation on key policy issues and organizational support, for chich we are very grateful. Several authors contributed to this study. David Dyker is the author of the introductory section (chapter 2) and the analysis of services sectors (chapter 7). Michael Emerson is the author of section on regional integration scenarios (chapter 3) and he also provided very valuable comments on all chapters in this study. Sveta Taran, Peter Holmes and Michael Gasiorek are the authors of chapter 4 employing the Sussex Framework to study the impact of FTA. Michael Gasiorek and Peter Holmes also provided valuable comments on the CGE modelling section. Evgeny Polyakov, Andrei Roudoi as well as Gevorg Torosyan contributed to the chapter on the institutional and regulatory harmonization (chapter 5). The team from the Global Insight including Andre Jungmittag, Vicki Korchagin, Evgeny Polyakov and Andrei Roudoi supervised the implementation of the survey and completed the analysis of the survey results (chapter 6). Also the same team from Global Insight contributed chapter 10 on sensitive sectors. The implementation of the survey of NTBs was conducted by AVAG Solutions under the supervision of Vardan Baghdasaryan and Melik Gasparyan. The analysis of FDI flows and their likely trends following an FTA was prepared by Malgorzata Jakubiak, while the estimation of the potential FDI flows was completed by Alina Kudina (section 8.4). The CGE analysis (chapter 9) was prepared by Maryla Maliszewska, who also acted as the project manager and the editor of the study. Finally, conclusions are a collective work of all the authors. Sierz Naurodski and Elena Kozarzewska provided an excellent administrative support. I would like to take his opportunity to thank them all for their cooperation, valuable contributions and comments.European Neighborhood Policy, free trade agreement, institutional harmonization, EU, Armenia

    Data-driven & Theory-driven Science : Artificial Realities and Applications to Savings Groups

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    Paper I and Paper II is not published yet. They are excluded from the dissertation until they will be published.The scientific process is neither unique nor nomic. Two processes of scientific inquiry are theory-driven and data-driven science. This dissertation analyzes savings groups using theory-driven and data-driven methods. Simulated realities-based on data-driven theory-are used to understand the emerging dynamics of savings groups. Savings groups are grassroots, community-based organizations composed of 15 to 30 members. These organizations-usually supported by international development agencies-have weekly meetings during a cycle of operations that typically lasts a year. In the groups, savings are kept in two funds: a fund for loans and a social welfare fund that covers life-cycle events. The findings of Papers A to D in this dissertation provide new large-sample evidence about savings groups, their dynamics, and the factors affecting their financial performance. In practice, the results of Paper A to D shed light on the best policies to promote sustainable development with informal finance in a cost-effective way. A theory-driven approach indicates that the social fund in savings groups stimulates loan allocation among risk-sharing members, while implicitly covering idiosyncratic risks (Paper A). A data-driven approach based on Bayesian data-mining reveals that the macroeconomic environment and the facilitation model of development agencies have a strong influence on the profit-generating capacity of savings groups (Paper B). Machine-learning methods further show that business training is not the most frequent program implemented by development agencies, but it is in fact the most powerful intervention to encourage profits, particularly when a development agency stops working with a group and leaves a community (Paper C). Finally, the simulation of a village with artificial agents indicates that the businesses of savings groups can have higher profits due to the consolidation of social capital and the competitive advantage created through a process of homophily (Paper D). Metatheoretically, the theory-driven and data-driven approaches of this dissertation-and the complementarity between these approaches-contribute to the epistemology of data-intensive science. The dissertation concludes that the gelstaltic and quasi-teleological explanations of the data-driven approach help to the formulation of theories through inductive and abductive reasoning.publishedVersio

    Economic Feasibility, General Economic Impact and Implications of a Free Trade Agreement Between the European Union and Georgia

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    This study of the feasibility, costs and benefits of a free trade agreement between the EU and Georgia was conducted from July 2007 to April 2008 under contrach with the European Commission. The first meeting in Brussels in September 2007 with staff members of Directorates-General for Trade, External Relations, Economic and Financial Affairs, Internal Market and Services, Competition, Enterprise and Industry proved indispensable in our work on this report. During mission to Tbilisi in October 2007 the consultations were held with a number of ministries, research institutes and business organizations. We greatly benefited from consultations with the Ministry of Economic Development, Standardization Office, UN Team Leader for Economic Development, State Minister for Reforms Coordination, Ministry of Energy, Office of Deputy State Minister for European and Euro Atlantic Integration, American Chamber of Commerce, Georgian Chamber of Commerce, IMF, World Bank, EBRD, GEPLAC – Georgian European Policy Legal Advice Centre, Wine Producers Association, Federation of Georgian Businessman. The European Commission Delegation to Georgia provided us with extensive information, consultation on key policy issues and organizational support, for which we are very grateful. Several authors contributed to this study. David Dyker is the author of the introductory section (chapter 2) and the analysis of services sectors (chapter 7). Michael Emerson is the author of section on regional integration scenarios (charter 3) and he also provided very valuable comments on all chapters in this study. Sveta Taran, Peter Holmes and Michael Gasiorek are the authors of chapter 4 employing the Sussex Framework to study the impact of a free trade agreement. Michael Gasiorek and Peter Holmes also provided valuable comments on the CGE modelling section. Evgeny Polyakov, Andrei Roudoi as well as Nino Chokheli and Giorgi Pertaia contributed to the chapter on the institutional and regulatory harmonization (chapter 5). The team from the Global Insight including Andre Jungmittag, Vicki Korchagin, Evgeny Polyakov and Andrei Roudoi supervised the implementation of the survey and completed the analysis of the survey results (chapter 6). Also the same team from Global Insight contributed chapter 10 on sensitive sectors. The implementation of the survey of NTBs was conducted by CASE-Transcaucasus under the supervision of Tamaz Asatiani. The analysis of FDI flows and their likely trends following an FTA was prepared by Malgorzata Jakubiak, while the estimation of the potential FDI flows was conducted by Alina Kudina (section 8.4). The CGE analysis (chapter 9) was written by Maryla Maliszewska, who also acted as the project manager and the editor of the study. Finally, conclusions are a collective work of all the authors. Sierz Naurodski and Elena Kozarzewska provided an excellent administrative support. I would like to take this opportunity to thank them all for their cooperation, valuable contributions and comments.European Neighborhood Policy, free trade agreement, institutional harmonization, EU, Georgia.

    Sustainability of marketing systems: systeming interpretation of hybrid car manufacturer and consumer communications

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    The purpose of this qualitative macromarketing investigation is to explore the issue of the sustainability of marketing systems. Drawing on complex systems thinking, an alternative logic of marketing systems and a methodological basis for interpreting communicated meanings are developed. The alternative logic of marketing systems recognises the unity of a difference between a marketing system and its environment. This insight has become a cornerstone for synthesising the systeming methodology. Systeming comprises the philosophy, the model, and the method of interpreting communication-as-self-observation of marketing system agents. Data, communication by hybrid car manufacturers and consumers, were collected from netnographic sources such as corporate websites, reports posted online, weblogs, and consumer forums. The interpretation of these data was accomplished using systeming procedures, e.g. communication analysis, distinction identification, re-entry description, and logical level tracking. The systeming analysis of the hybrid car marketer and consumer communications illustrates that meaning-creation in the system is underpinned by purposeful human behaviour in reducing complexity of marketplace experience into a meaningful pattern, sustainability. Both manufacturers and consumers claim to become sustainable in reference to being unsustainable by creating self-referential differences, operating in different interaction contexts, and expanding meaning paradoxes. The interpretation shows that interactive meaning-creation in the system is inherently contradictory. Manufacturers expand (give a logical form to) contradictions through introducing hierarchical meaning structures, temporality, new functions, and communicative transvection. Consumers deal with the contradictions through enriching co-creation experiences and learning the proper continuation of specific hybrid car driving practices. The significant insight gained from this investigation is that the hybrid car marketing system is not a passive entity; it is the locus of purposefully expanding meanings. Two modes of sustainability with regard to the hybrid car marketing system can be distinguished: the content of communication that denotes enacted meanings of sustainability and the form of communication that indicates how sustainable these sustainability enactments are. The content/form distinction implies that the sustainability of the hybrid car marketing system is a matter of interactive meaning-creation between system agents. The sustainable development process, in at least a mobility domain, is driven by purposeful social interaction rather than static product attributes. This investigation is innovative because it a) offers a conceptualisation of a marketing system as a meaning flow; b) synthesises and compiles a methodology and method for interpreting communication in a marketing system; c) reveals systemic insights into the hybrid car marketing system; d) characterises the sustainability dimension of the hybrid car marketing system; e) explains a conceptual ground for reconciling the marketing system and society; f) provides a general macromarketing perspective to scrutinise recent conceptual developments in the marketing discipline; g) unifies marketing systems thinking with recent advancements in the marketing discipline, such as the service-dominant logic, and consumer culture theory; and, also, h) provides recommendations for a number of micro-managerial situations from a holistic perspective
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