به نام خدا
Title: Bricolage: Example-Based Retargeting for Web Design
Authors: Ranjitha Kumar Jerry O Talton Salman Ahmad Scott R Klemmer
Abstract: The Web provides a corpus of design examples unparalleled in human history. However, leveraging existing designs to produce new pages is often difficult. This paper introduces the Bricolage algorithm for transferring design and content between Web pages. Bricolage employs a novel, structured-prediction technique that learns to create coherent mappings between pages by training on human-generated exemplars. The produced mappings are then used to automatically transfer the content from one page into the style and layout of an-other. We show that Bricolage can learn to accurately repro-duce human page mappings, and that it provides a general, efficient, and automatic technique for retargeting content between a variety of real Web pages.
Publish Year: 2011
Publisher: CHI - ACM
Number of Pages: 20
موضوع: طراحی صفحات وب
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به نام خدا
Title: Secret Sharing Scheme Suitable for Cloud Computing
Authors: Satoshi Takahashi Keiichi Iwamura
Abstract: Secret sharing schemes have recently been considered to apply for cloud computing in which many users distribute multiple data to servers. However, when Shamir s(k,n) secret sharing is applied to cloud systems, the amount of share increases more than n times the amount of the secret. Therefore, in this paper we propose a new secret sharing scheme that can reduce the amount of share different from Ramp type secret sharing, suitable for cloud systems, and we prove that it is computationally secure.
Publish Year: 2013
Published in: AINA - IEEE
Number of Pages: 8
موضوع: رایانش ابری، امنیت
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به نام خدا
Title: Decision making with a fuzzy ontology
Authors: Christer Carlsson Matteo Brunelli Jozsef Mezei
Abstract: Knowledge mobilisation is a transition from theprevailing knowledge management technology that has beenwidely used in industry for the last 20 years to a new meth-odology and some innovative methods for knowledge rep-resentation, formation and development and for knowledgeretrieval and distribution. Knowledge mobilisation aims atcoming to terms with some of the problems of knowledgemanagement and at the same time to introduce new theory,new methods and new technology. More precisely, this paperpresents an outline of a fuzzy ontology as an enhanced ver-sion of classical ontology and demonstrates some advantagesfor practical decision making. We show that a number of softcomputing techniques, e.g. aggregation functions and inter-val valued fuzzy numbers, will support effective and practicaldecision making on the basis of the fuzzy ontology. Wedemonstrate the knowledge mobilisation methods with theconstruction of a support system for finding the best availablewine for a number of wine drinking occasions using a fuzzywine ontology and fuzzy reasoning methods; the supportsystem has been implemented for a Nokia N900 smart phone.
Publish Year: 2012
Published in: Soft Computing - Springer
Number of Pages: 10
موضوع: منطق فازی، تصمیم گیری
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به نام خدا
Title: Mission Assurance Increased with Regression Testing
Authors: Roland Lang
Abstract: Knowing what to test is an important attribute in any testing campaign, especially when it has to be right or the mission could be in jeopardy. The New Horizons mission, developed and operated by the John Hopkins University Applied Physics Laboratory, received a planned major upgrade to their Mission Operations and Control (MOC) ground system architecture. Early in the mission planning it was recognized that the ground system platform would require an upgrade to assure continued support of technology used for spacecraft operations. With the planned update to the six year operational ground architecture from Solaris 8 to Solaris 10, it was critical that the new architecture maintain critical operations and control functions. The New Horizons spacecraft is heading to its historic rendezvous with Pluto in July 2015 and then proceeding into the Kuiper Belt. This paper discusses the Independent Software Acceptance Testing (ISAT) Regression test campaign that played a critical role to assure the continued success of the New Horizons mission. The New Horizons ISAT process was designed to assure all the requirements were being met for the ground software functions developed to support the mission objectives. The ISAT team developed a test plan with a series of test case designs. The test objectives were to verify that the software developed from the requirements functioned as expected in the operational environment. As the test cases were developed and executed, a regression test suite was identified at the functional level. This regression test suite would serve as a crucial resource in assuring the operational system continued to function as required with such a large scale change being introduced. Some of the New Horizons ground software changes required modifications to the most critical functions of the operational software. Of particular concern was the new MOC architecture (Solaris 10) is Intel based and little end ian, and the legacy architecture (Solaris 8) was SPARC based and big end ian. The presence of byte swap issues that might not have been identified in the required software changes was very real and can be difficult to find. The ability to have test designs that would exercise all major functions and operations was invaluable to assure that critical operations and tools would operate as they had since first operational use. With the longevity of the mission also came the realization that the original ISAT team would not be the people working on the ISAT regression testing. The ability to have access to all original test designs and test results identified in the regression test suite greatly improved the ability to identify not only the expected system behavior, but also the actual behavior with the old architecture.
Publish Year: 2013
Published in: Aerospace - IEEE
Number of Pages: 8
موضوع: مهندسی نرم افزار، تست نرم افزار، تست مجتمع سازی
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Title: Numerical simulation and optimization of CO2 sequestration in saline aquifers
Authors: Zheming Zhang, Ramesh Agarwal
Abstract: With heightened concerns on CO2 emissions from coal fired electricity generation plants, there has been major emphasis in recent years on the development of safe and economical Carbon Dioxide Capture and Sequestration (CCS) technology worldwide. Saline reservoirs are attractive geological sites for CO2 sequestration because of their huge capacity for long term sequestration. Over the last decade, numerical simulation codes have been developed in US, Europe and Japan to determine a priori the CO2 storage capacity of a saline aquifer and to provide risk assessment with reasonable confidence before the actual deployment of CO2 sequestration can proceed with enormous investment. In US, the 2nd version of Transport of Unsaturated Groundwater and Heat (TOUGH2) numerical simulator has been widely used for this purpose. However at present, it does not have the ability to determine optimal parameters such as injection rate, injection pressure, injection depth for vertical and horizontal wells, etc. for optimization of the CO2 storage capacity and for minimizing the leakage potential by confining the plume migration. This paper describes the development of a “Genetic Algorithm (GA)” based optimizer for TOUGH2 that can be used by the industry with good confidence to optimize the CO2 storage capacity in a saline aquifer of interest. This new code including the TOUGH2 and the GA optimizer is designated as “GATOUGH2”. It has been validated by conducting simulations of three widely used benchmark problems by the CCS researchers worldwide: (a) study of CO2 plume evolution and leakage through an abandoned well, (b) study of enhanced CH4 recovery in combination with CO2 storage in depleted gas reservoirs, and (c) study of CO2 injection into a heterogeneous geological formation. The results of these simulations are in excellent agreement with those of other researchers using different codes. The validated code has been employed to optimize the proposed water-alternating-gas (WAG) injection scheme for (a) a vertical CO2 injection well and (b) a horizontal CO2 injection well, in order to optimize the CO2 sequestration capacity of an aquifer. The optimized calculations from GATOUGH2 are compared with the brute force nearly optimized results obtained by performing a large number of calculations. These comparisons demonstrate the significant efficiency and accuracy of GATOUGH2 as an optimizer compared to using TOUGH2 in a brute force manner. This capability holds a great promise in studying a host of other problems in CO2 sequestration such as how to optimally accelerate the capillary trapping, accelerate the dissolution of CO2 in water or brine, and immobilize the CO2 plume.
Publish Year: 2013
Published in: Computers and Fluids - Science Direct
Number of Pages: 9
موضوع: مهندسی مواد، متالورژی
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