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Pilot Area (pilot + area)

Distribution by Scientific Domains

Engineering	50%

Selected Abstracts

Seismic vulnerability assessment using regional empirical data

EARTHQUAKE ENGINEERING AND STRUCTURAL DYNAMICS, Issue 10 2006
Ahmet Yakut
Abstract This article presents a procedure developed for the seismic performance assessment of low- to mid-rise reinforced concrete buildings in Turkey. The past performance of reinforced concrete buildings during major earthquakes have been compiled and analysed comprehensively using statistical procedures in order to study the empirical correlation between the significant damage inducing parameters and the observed damage. A damage database of nearly 500 representative buildings experiencing the 1999 Kocaeli and Düzce earthquakes have been used and discriminant functions expressing damage score in terms of six damage inducing parameters have been developed. In order to extrapolate the procedure to other regions that are likely to be subjected to major earthquakes a new approach that takes into account different local soil conditions, site-to-source distance and the magnitude of the earthquake has been introduced. The procedure has been applied to a pilot area in Istanbul to estimate expected damage distribution under a credible scenario earthquake. Copyright © 2006 John Wiley & Sons, Ltd. [source]

Selection of knowledge acquisition techniques based upon the problem domain characteristics of production and operations management expert systems

EXPERT SYSTEMS, Issue 2 2001
William P. Wagner
The application of expert systems to various problem domains in business has grown steadily since their introduction. Regardless of the chosen method of development, the most commonly cited problems in developing these systems are the unavailability of both the experts and knowledge engineers and difficulties with the process of acquiring knowledge from domain experts. Within the field of artificial intelligence, this has been called the ,knowledge acquisition' problem and has been identified as the greatest bottleneck in the expert system development process. Simply stated, the problem is how to acquire the specific knowledge for a well-defined problem domain efficiently from one or more experts and represent it in the appropriate computer format. Given the ,paradox of expertise', the experts have often proceduralized their knowledge to the point that they have difficulty in explaining exactly what they know and how they know it. However, empirical research in the field of expert systems reveals that certain knowledge acquisition techniques are significantly more efficient than others in helping to extract certain types of knowledge within specific problem domains. In this paper we present a mapping between these empirical studies and a generic taxonomy of expert system problem domains. In so doing, certain knowledge acquisition techniques can be prescribed based on the problem domain characteristics. With the production and operations management (P/OM) field as the pilot area for the current study, we first examine the range of problem domains and suggest a mapping of P/OM tasks to a generic taxonomy of problem domains. We then describe the most prominent knowledge acquisition techniques. Based on the examination of the existing empirical knowledge acquisition research, we present how the empirical work can be used to provide guidance to developers of expert systems in the field of P/OM. [source]

Origin and Distribution of Hydrogen Sulfide in Oil-Bearing Basins, China

ACTA GEOLOGICA SINICA (ENGLISH EDITION), Issue 6 2009
ZHU Guangyou
Abstract: The concentration of hydrogen sulfide gas (H2S) varies greatly in the oil-bearing basins of China, from zero to 90%. At present, oil and gas reservoirs with high H2S concentration have been discovered in three basins, viz. the Bohai Bay Basin, Sichuan Basin and the Tarim Basin, whereas natural gas with low H2S concentration has been found in the Ordos Basin, the Songliao Basin and the Junggar Basin. Studies suggest that in China H2S origin types are very complex. In the carbonate reservoir of the Sichuan Basin, the Ordos Basin and the Tarim Basin, as well as the carbonate-dominated reservoir in the Luojia area of the Jiyang depression in the Bohai Bay Basin, Wumaying areas of the Huanghua depression, and Zhaolanzhuang areas of the Jizhong depression, the H2S is of Thermochemical Sulfate Reduction (TSR) origin. The H2S is of Bacterial Sulphate Reduction (BSR) origin deduced from the waterflooding operation in the Changheng Oilfield (placanticline oil fields) in the Songliao Basin. H2S originates from thermal decomposition of sulfur-bearing crude oil in the heavy oil area in the Junggar Basin and in the Liaohe heavy oil steam pilot area in the western depression of the Bohai Bay Basin. The origin types are most complex, including TSR and thermal decomposition of sulfcompounds among other combinations of causes. Various methods have been tried to identify the origin mechanism and to predict the distribution of H2S. The origin identification methods for H2S mainly comprise sulfur and carbon isotopes, reservoir petrology, particular biomarkers, and petroleum geology integrated technologies; using a combination of these applications can allow the accurate identification of the origins of H2S. The prediction technologies for primary and secondary origin of H2S have been set up separately. [source]

Distance learning in a multimedia networks project: main results

BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, Issue 2 2000
Heli Ruokamo
This paper discusses a goal-oriented project called Distance Learning in Multimedia Networks (ETÄKAMU) that was a part of the Finnish Multimedia Programme (FMP). The project started in February 1996 and lasted until January 1999. The project combined the efforts of Finnish telecommunication companies, content providers, publishing houses, hardware companies and educational institutions in the field of distance learning. This paper describes the background, the goals and part of the results of the ETÄKAMU project as well as the project's organisation. The main goals of the ETÄKAMU project were to research, develop and evaluate open learning environments using computer networks and computers in learning. The pedagogical background of the project is based on seven qualities of meaningful learning that are applicable to lifelong learning independent of time and place. The ETÄKAMU project arranged teaching experiments and user trials for various learners in different content areas and in different learning environments. Feedback and data were gathered via an investigation of how various pedagogical and technical solutions function in practice. This paper presents some pilot areas of the ETÄKAMU project and main results received in the project. [source]