86,539 research outputs found

    An application of simulated annealing to the optimum design of reinforced concrete retaining structures

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    This paper reports on the application of a simulated annealing algorithm to the minimum cost design of reinforced concrete retaining structures. Cantilever retaining walls are investigated, being representative of reinforced concrete retaining structures that are required to resist a combination of earth and hydrostatic loading. To solve such a constrained optimisation problem, a modified simulated annealing algorithm is proposed that avoids the simple rejection of infeasible solutions and improves convergence to a minimum cost. The algorithm was implemented using an object-orientated visual programming language, offering facilities for continual monitoring, assessing and changing of the simulated annealing control parameters. Results show that the simulated annealing can be successfully applied to the minimum cost design of reinforced concrete retaining walls, overcoming the difficulties associated with the practical and realistic assessment of the structural costs and their complex inter-relationship with the imposed constraints on the solution space

    Using Generic Summarization to Improve Music Information Retrieval Tasks

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    In order to satisfy processing time constraints, many MIR tasks process only a segment of the whole music signal. This practice may lead to decreasing performance, since the most important information for the tasks may not be in those processed segments. In this paper, we leverage generic summarization algorithms, previously applied to text and speech summarization, to summarize items in music datasets. These algorithms build summaries, that are both concise and diverse, by selecting appropriate segments from the input signal which makes them good candidates to summarize music as well. We evaluate the summarization process on binary and multiclass music genre classification tasks, by comparing the performance obtained using summarized datasets against the performances obtained using continuous segments (which is the traditional method used for addressing the previously mentioned time constraints) and full songs of the same original dataset. We show that GRASSHOPPER, LexRank, LSA, MMR, and a Support Sets-based Centrality model improve classification performance when compared to selected 30-second baselines. We also show that summarized datasets lead to a classification performance whose difference is not statistically significant from using full songs. Furthermore, we make an argument stating the advantages of sharing summarized datasets for future MIR research.Comment: 24 pages, 10 tables; Submitted to IEEE/ACM Transactions on Audio, Speech and Language Processin

    The Emergence of Enterprise Systems Management - A Challenge to the IS Curriculum

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    This paper proposes four cornerstones of a future Information Systems curriculum. It analyzes the challenges of the IS curriculum based on the development of enterprise systems, and further argues that the practice and the research into enterprise systems have progressed to a new stage resulting in the emergence of Enterprise Systems Management (ESM). Enterprise Systems Management calls for new competences and consequently represents new challenges to the IS curriculum. The paper outlines potential teaching issues and discusses the impact on the IS curriculum. Finally the paper suggests ways of approaching the challenges.No; keywords

    Cumulative Prospect Theory Based Dynamic Pricing for Shared Mobility on Demand Services

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    Cumulative Prospect Theory (CPT) is a modeling tool widely used in behavioral economics and cognitive psychology that captures subjective decision making of individuals under risk or uncertainty. In this paper, we propose a dynamic pricing strategy for Shared Mobility on Demand Services (SMoDSs) using a passenger behavioral model based on CPT. This dynamic pricing strategy together with dynamic routing via a constrained optimization algorithm that we have developed earlier, provide a complete solution customized for SMoDS of multi-passenger transportation. The basic principles of CPT and the derivation of the passenger behavioral model in the SMoDS context are described in detail. The implications of CPT on dynamic pricing of the SMoDS are delineated using computational experiments involving passenger preferences. These implications include interpretation of the classic fourfold pattern of risk attitudes, strong risk aversion over mixed prospects, and behavioral preferences of self reference. Overall, it is argued that the use of the CPT framework corresponds to a crucial building block in designing socio-technical systems by allowing quantification of subjective decision making under risk or uncertainty that is perceived to be otherwise qualitative.Comment: 17 pages, 6 figures, and has been accepted for publication at the 58th Annual Conference on Decision and Control, 201

    Design of Sustainable Mixed Use Complex in Santa Clara, California

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    Lying in the heart of the Silicon Valley, the City of Santa Clara is a hotbed of development and has long been viewed as the model for rapid development, as the area needs to keep up with the demands of the rapidly growing technology industry. For this senior design project, the team decided to address this issue of massive urban growth by proposing a development design that is both sustainable and establishes a community feel that enhances local growth and business. The team drew initial inspiration from San Jose based The CORE Companies’ Agrihood project, a community development already in progress at the site that the team chose, across from Valley Fair Shopping Center. Using some of the basics of the already proposed Agrihood project, the team’s Santa Clara Sustainable Community (SCSC) focused on cultivating a community in which people work, play, and live while prioritizing sustainability to combat the rapid growth that the technology boom in the Silicon Valley is causing. The team has expanded the site to include and integrate the existing Veterans Center and also added and completely designed a cooperative workspace building that includes an updated Veterans Center with the goal of integration all parts of the community. In addition, the team designed the structural components of two apartment buildings, which will also be integrated, as opposed to separate buildings for different socioeconomic groups. Along with all of structural design and layout of the site, the team also designed all of the water resource components of the site including the potable, stormwater, and sanitary sewer design
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