199,403 research outputs found

    Code associated with Rajkumar et al. 2022, Cell Reports

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    <p>Code associated to the mutation co-occurrence analysis of Rajkumar et al. (2022) Cell Reports. GitHub: https://github.com/ianwatsonlab/Rajkumar_2022_melanoma_BRAF_MEK/releases/tag/v1.0.</p&gt

    Thermal Implications of Energy-Saving Schedulers

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    In many real-time systems, continuous operation can raise processor temperature, potentially leading to system failure, bodily harm to users, or a reduction in the functional lifetime of a system. Static power dominates the total power consumption, and is also directly proportional to the operating temperature. This reduces the effectiveness of frequency scaling and necessitates the use of sleep states. In this work, we explore the relationship between energy savings and system temperature in the context of fixed-priority energy-saving schedulers, which utilize a processor’s deep-sleep state to save energy. We derive insights from a well-known thermal model, and are able to identify proactive design choices which are independent of system constants and can be used to reduce processor temperature. Our observations indicate that, while energy savings are key to lower temperatures, not all energy-efficient solutions yield low temperatures. Based on these insights, we propose the SysSleep and ThermoSleep algorithms, which enable a thermally-effective sleep schedule. We also derive a lower bound on the optimal temperature achievable by energy-saving schedulers. Additionally, we discuss partitioning and task phasing techniques for multi-core processors, which require all cores to synchronously transition into deep sleep, as well as those which support independent deep-sleep transitions. We observe that, while energy optimization is straightforward in some cases, the dependence of temperature on partitioning and task phasing makes temperature minimization non-trivial. Evaluations show that compared to the existing purely energy-efficient design methodology, our proposed techniques yield lower temperatures along with significant energy savings

    Customised customer support using a soft computing approach

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    This paper describes the research and development of a methodology to identify the type of information required by the service advisor (CSA) within customer contact centre (CCC) environment. Data was collected through case studies carried out within five customer contact centres to derive the categories for customers and advisors based on demographic, experience, business value and behavioural attributes. We provide the methodology to develop a fuzzy expert system which assigns a new customer or advisor to the predefined categories. The authors have explained the steps which were followed for the development of the fuzzy expert system. A prototype system has been designed and developed to identify the type of customer and CSA based on the demographic, experience and behavioural attributes. The authors illustrate analysis with real data, based on the work with large scale customer contact centres. Validation of the information requirement model was carried out at the contact centres

    Dr. Duane M. Jackson, Morehouse College, July 2011

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    This video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer

    "Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.

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    "Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states. By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement. To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Dr. Glendon Swarthout

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    Hosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness

    Not Available

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    Book Chapter. Book Title: Coastal Agricultural Resource Inventory: An overview and way forward. (2020). Ed(s): Chakurkar E. B., Desai A. R., Thangam M., Manohara K. K., Shivasharanappa N., Gokuldas P.P., Rajkumar R. S., Mahajan G. R., Susitha R., Vishwanatha Reddy K., Sreekanth G. B., Paramesha V., Das B., Desai S., Chethan Kumar H. B., Mayekar T. and Nayak N. ICAR–CCARI, Old Goa, Goa, India. ISBN - 978-93-5406-829-4, pp: 1-288.Not AvailableNot Availabl

    Development of a framework for obsolescence resolution cost estimation

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    Currently, manufacturing organisations worldwide are shifting their business models towards Product-Service Systems (PSS), which implies the development of new support agreements such as availability-based contracts. This transition is shifting the responsibilities for managing and resolving obsolescence issues from the customer to the prime contractor and industry work share partners. This new scenario has triggered a new need to estimate the Non-Recurring Engineering (NRE) cost of resolving obsolescence issues at the bidding stage, so it can be included in the support contract. Hence, the aim of this research is to develop an understanding about all types of obsolescence and develop methodologies for the estimation of NRE costs of hardware (electronic, electrical and electromechanical (EEE) components and materials) obsolescence that can be used at the bidding stage for support contracts in the defence and aerospace sectors. For the accomplishment of this aim, an extensive literature review of the related themes to the research area was carried out. It was found that there is a lack of methodologies for the cost estimation of obsolescence, and also a lack of understanding on the different types of obsolescence such as materials and software obsolescence. A systematic industrial investigation corroborated these findings and revealed the current practice in the UK defence sector for cost estimation at the bidding stage, obsolescence management and obsolescence cost estimation. It facilitated the development of an understanding about obsolescence in hardware and software. Further collaboration with experts from more than 14 organisations enabled the iterative development of the EEEFORCE and M-FORCE frameworks, which can be used at the bidding stage of support contracts to estimate the NRE costs incurred during the contracted period in resolving obsolescence issues in EEE components and materials, respectively. These frameworks were implemented within a prototype software platform that was applied to 13 case studies for expert validation

    Uncertainty challenges in service cost estimation for product- service systems in the aerospace and defence industries

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    Organised by: Cranfield UniversityContracting for availability is expected to become more prevalent for product -service systems (PSS) in the aerospace and defence industries. These contracts tend to transfer responsibilities for the operational phase from the customer to the supplier. In parallel, with operational life spans spanning several decades, the ability to deal with uncertainty in cost estimation for support activities is becoming critical. This paper outlines challenges within this process derived from literature as well as issues that were highlighted during interviews with four major defence and aerospace organisations.Mori Seiki – The Machine Tool Compan
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