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Journal articles on the topic "CAN/OLE (Information retrieval system)"

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Singh, Bhupendra, and Neelu Jyoti Ahuja. "Mining the treasure of palm leaf manuscripts through information retrieval techniques." Digital Library Perspectives 35, no. 3/4 (November 11, 2019): 146–56. http://dx.doi.org/10.1108/dlp-07-2019-0026.

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Purpose This paper aims to popularize information retrieval from palm leaf manuscripts among computer scientists to make available the guidance of the age-old heritage in shaping the future. Design/methodology/approach With computer technology penetrating every aspect of life, information retrieval algorithms can be exploited to help build a system which can dig into the ocean of knowledge from these manuscripts. Findings The knowledge in them covers all aspects of life. Be it religious beliefs, literature, science, mathematics, or any other. However, due to discontinuation of practice of copying their content on fresh leaves, they now possess a fragile life which needs to be preserved at the earliest. The modern means of digitization can help in their preservation. Research limitations The Government of India and other organizations are doing commendable job of preserving and safeguarding country’s heritage and age-old knowledge system through the movement of digitization. In the years to come, the agonizing problem of manuscripts degradation will be eradicated completely. However, next when it will come to mining the knowledge treasure out of these manuscripts, we would be confronted with another helpless situation. Practical implications The digitization process would capture the manuscripts from present physical palm leaf to digital image form by clicking high-quality pictures. All the text in a palm leaf will be available in the form of images, but on these images, a simple search for any word would not be possible. Originality/value Working towards mining the treasure of knowledge from the palm leaf manuscripts, hordes of challenges have been outlined. Over and above the problem of preventing decay to palm leaf manuscripts is the challenge of deciphering text, image analysis, information retrieval and search. Search is further associated with issues of meaningful and useful extraction through semantic analysis. This paper advocates the dire need for systematic research to be undertaken in this field opening up avenues for past knowledge to guide future prospects in several domains.
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Jagtap, Akash, Anil Sarwade, Harshal Jhalawat, and Mrs R. V. Chaudhari. "Secret Questions based Authentication System for Android Smartphone." International Journal on Recent and Innovation Trends in Computing and Communication 7, no. 4 (April 10, 2019): 01–03. http://dx.doi.org/10.17762/ijritcc.v7i4.5275.

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We present a android application for enhanced security of password recovery questions.We make use of the sensors available in an basic andorid smartphone to provide security.Many web applications as well as android applications use old and easy to break through questions for password retrieval which can be easily guessed by anyone having zero to very little information about the user.Our system is based on users short term memory.We make use of smartphone sensors and ask questions which are only known to user relying on his short term memory for password retrieval.We present sensor based security questions for password retreival which ultimately increase the security and provide genuine authentication.
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Wattan, Saif Abdul Ameer, and Maythm Al-Bakri. "Development of Bridges Maintenance Management System based on Geographic Information System Techniques." Journal of Engineering 25, no. 7 (July 1, 2019): 21–36. http://dx.doi.org/10.31026/j.eng.2019.07.02.

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A Geographic Information System (GIS) is a computerized database management system for accumulating, storage, retrieval, analysis, and display spatial data. In general, GIS contains two broad categories of information, geo-referenced spatial data and attribute data. Geo-referenced spatial data define objects that have an orientation and relationship in two or three-dimensional space, while attribute data is qualitative data that can be counted for recording and analysis. The main aim of this research is to reveal the role of GIS technology in the enhancement of bridge maintenance management system components such as the output results, and make it more interpretable through dynamic colour coding and more sophisticated visualization techniques than the conventional tabular data format. To achieve the main objective of this research, two study areas have been chosen: the old construction bridge (Al-Qadisiyah bridge) and the newly constructed bridge (Barboty bridge). Both of them are in Al-Muthanna city \ Iraq. The data collection process was achieved in two stages: the first stage is providing a georeferenced satellite image for each study area for the purpose of producing a two-dimensional map. The second stage includes the field surveying process by total station and level instruments. GIS have been used to create a comprehensive database (Geodatabase) for both study areas. Geostatistical analysis was carried out in which the settlement areas of both study areas were defined by producing a colour image. The statistical tables for these analyses showed that the highest decline in the elevation reached at Al-Qadisiyah bridge to 19 mm in the middle of the bridge which is coloured as a red area. On the other hand, it was found that the highest decline in the elevation of the Barboty bridge is 16 mm in the last part of steel space which is also coloured as a red area.
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Aattan, Saif Abdul ameer, and Maythm Al-Bakri. "Development of Bridges Maintenance Management System based on Geographic Information System Techniques (Case study: Al-Muthanna \ Iraq)." Journal of Engineering 26, no. 9 (September 1, 2020): 137–54. http://dx.doi.org/10.31026/j.eng.2020.09.09.

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A Geographic Information System (GIS) is a computerized database management system for accumulating, storage, retrieval, analysis, and display spatial data. In general, GIS contains two broad categories of information, geo-referenced spatial data and attribute data. Geo-referenced spatial data define objects that have an orientation and relationship in two or three-dimensional space, while attribute data is qualitative data that can be counted for recording and analysis. The main aim of this research is to reveal the role of GIS technology in the enhancement of bridge maintenance management system components such as the output results, and make it more interpretable through dynamic colour coding and more sophisticated visualization techniques than the conventional tabular data format. To achieve the main objective of this research, two study areas have been chosen: the old constructionbridge (Al-Qadisiyah bridge) and the newly constructed bridge (Barboty bridge). Both of them are in Al-Muthanna city \ Iraq. The data collection process was achieved in two stages: the first stage is providing a georeferenced satellite image for each study area for the purpose of producing a two-dimensional map. The second stage includes the field surveying process by total station and level instruments. GIS have been used to create a comprehensive database (Geodatabase) for both study areas. Geostatistical analysis was carried out in which the settlement areas of both study areas were defined by producing a colour image. The statistical tables for these analyses showed that the highest decline in the elevation reached at Al-Qadisiyah bridge to 19 mm in the middle of the bridge which is coloured as a red areas. On the other hand, it was found that the highest decline in the elevation of the Barboty bridge is 16 mm in the last part of steel space which is also coloured as a red areas.
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Lattanzio, A., F. Fell, R. Bennartz, I. F. Trigo, and J. Schulz. "Quality assessment and improvement of the EUMETSAT Meteosat Surface Albedo Climate Data Record." Atmospheric Measurement Techniques 8, no. 10 (October 30, 2015): 4561–71. http://dx.doi.org/10.5194/amt-8-4561-2015.

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Abstract. Surface albedo has been identified as an important parameter for understanding and quantifying the Earth's radiation budget. EUMETSAT generated the Meteosat Surface Albedo (MSA) Climate Data Record (CDR) currently comprising up to 24 years (1982–2006) of continuous surface albedo coverage for large areas of the Earth. This CDR has been created within the Sustained, Coordinated Processing of Environmental Satellite Data for Climate Monitoring (SCOPE-CM) framework. The long-term consistency of the MSA CDR is high and meets the Global Climate Observing System (GCOS) stability requirements for desert reference sites. The limitation in quality due to non-removed clouds by the embedded cloud screening procedure is the most relevant weakness in the retrieval process. A twofold strategy is applied to efficiently improve the cloud detection and removal. The first step consists of the application of a robust and reliable cloud mask, taking advantage of the information contained in the measurements of the infrared and visible bands. Due to the limited information available from old radiometers, some clouds can still remain undetected. A second step relies on a post-processing analysis of the albedo seasonal variation together with the usage of a background albedo map in order to detect and screen out such outliers. The usage of a reliable cloud mask has a double effect. It enhances the number of high-quality retrievals for tropical forest areas sensed under low view angles and removes the most frequently unrealistic retrievals on similar surfaces sensed under high view angles. As expected, the usage of a cloud mask has a negligible impact on desert areas where clear conditions dominate. The exploitation of the albedo seasonal variation for cloud removal has good potentialities but it needs to be carefully addressed. Nevertheless it is shown that the inclusion of cloud masking and removal strategy is a key point for the generation of the next MSA CDR release.
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Lattanzio, A., F. Fell, R. Bennartz, I. F. Trigo, and J. Schulz. "Quality assessment and improvement of the EUMETSAT Meteosat Surface Albedo Climate Data Record." Atmospheric Measurement Techniques Discussions 8, no. 7 (July 23, 2015): 7535–71. http://dx.doi.org/10.5194/amtd-8-7535-2015.

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Abstract. Surface albedo has been identified as an important parameter for understanding and quantifying the Earth's radiation budget. EUMETSAT generated the Meteosat Surface Albedo (MSA) Climate Data Record (CDR) currently comprising up to 24 years (1982–2006) of continuous surface albedo coverage for large areas of the Earth. This CDR has been created within the Sustained and Coordinated Processing of Environmental Satellite Data for Climate Monitoring (SCOPE-CM) framework. The long-term consistency of the MSA CDR is high and meets the Global Climate Observing System (GCOS) stability requirements for desert reference sites. The limitation in quality due to non removed clouds by the embedded cloud screening procedure is the most relevant weakness in the retrieval process. A twofold strategy is applied to efficiently improve the cloud detection and removal. A first step consists on the application of a robust and reliable cloud mask taking advantage of the information contained in the measurements of the infrared and visible bands. Due to the limited information available from old radiometers some clouds can still remain undetected. A second step relies on a post processing analysis of the albedo seasonal variation together with the usage of a background albedo map in order to detect and screen out such outliers. The usage of a reliable cloud mask has a double effect. It enhances the number of high quality retrievals for tropical forest areas sensed under low view angles and removes the most frequently unrealistic retrievals on similar surfaces sensed under high view angles. As expected, the usage of a cloud mask has a negligible impact on desert areas where clear conditions dominate. The exploitation of the albedo seasonal variation for cloud removal has good potentialities but it needs to be carefully addressed. Nevertheless it is shown that the inclusion of cloud masking and removal strategy is a key point for the generation of the next MSA CDR Release.
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Hasiru, Dewasni, Syamsu Qamar Badu, and Hamzah B. Uno. "Media-Media Pembelajaran Efektif dalam Membantu Pembelajaran Matematika Jarak Jauh." Jambura Journal of Mathematics Education 2, no. 2 (July 12, 2021): 59–69. http://dx.doi.org/10.34312/jmathedu.v2i2.10587.

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The study is done with the goal of providing a glimpse of what media is effectively used in assisting remote math. The method used in the study is a qualitative approach with a library study type (library research). Retrieval with a documentary technique that is, locate appropriate literature sources through books, research journals and other sources of information relating to effective long-range learning media in mathematics. To see the effectiveness of media using media indicators in the long-range learning system: (1) create motivation, (2) increase learning yields, (3) make learners remember old knowledge, (4) learners capable of applying the knowledge learned. Research shows the media that can be used in long-distance math study is google classroom, learning video, Whatsapp, and zoom. However, effective media used in long-distance math study is google classroom and learning videos, Whatsapp and zoom is still less effective in the long-distance mathematical learning process
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Jacobson, Tara K., Matthew D. Howe, Brandy Schmidt, James R. Hinman, Monty A. Escabí, and Etan J. Markus. "Hippocampal theta, gamma, and theta-gamma coupling: effects of aging, environmental change, and cholinergic activation." Journal of Neurophysiology 109, no. 7 (April 1, 2013): 1852–65. http://dx.doi.org/10.1152/jn.00409.2012.

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Hippocampal theta and gamma oscillations coordinate the timing of multiple inputs to hippocampal neurons and have been linked to information processing and the dynamics of encoding and retrieval. One major influence on hippocampal rhythmicity is from cholinergic afferents. In both humans and rodents, aging is linked to impairments in hippocampus-dependent function along with degradation of cholinergic function. Cholinomimetics can reverse some age-related memory impairments and modulate oscillations in the hippocampus. Therefore, one would expect corresponding changes in these oscillations and possible rescue with the cholinomimetic physostigmine. Hippocampal activity was recorded while animals explored a familiar or a novel maze configuration. Reexposure to a familiar situation resulted in minimal aging effects or changes in theta or gamma oscillations. In contrast, exploration of a novel maze configuration increased theta power; this was greater in adult than old animals, although the deficit was reversed with physostigmine. In contrast to the theta results, the effects of novelty, age, and/or physostigmine on gamma were relatively weak. Unrelated to the behavioral situation were an age-related decrease in the degree of theta-gamma coupling and the fact that physostigmine lowered the frequency of theta in both adult and old animals. The results indicate that age-related changes in gamma and theta modulation of gamma, while reflecting aging changes in hippocampal circuitry, seem less related to aging changes in information processing. In contrast, the data support a role for theta and the cholinergic system in encoding and that hippocampal aging is related to impaired encoding of new information.
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Grasso, Susanna, Andrea Libertino, and Pierluigi Claps. "MultiRain: a GIS-based tool for multi-model estimation of regional design rainfall for scientists and practitioners." Journal of Hydroinformatics 22, no. 1 (June 25, 2019): 148–59. http://dx.doi.org/10.2166/hydro.2019.016.

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Abstract Extreme rainfall estimation is a long-standing challenge for hydrological hazard assessment and infrastructure design, particularly if considering the need to deal with climate change. Advances in statistical methods and in rainfall data availability allow for frequent updates of regional rainfall frequency analyses. These allow for new estimates that, however, cannot simply replace older ones in the risk management, due to technical, socio-economic and legislative reasons. To preserve compatibility between old and new regional estimates a multi-model approach could be used, where model uncertainties can be combined to help reach a final decision. To make this possible, one has to face the uneasy retrieval of data and results of older analyses and, quite often, non-trivial areal rainfall estimates are needed with all methods. To give an answer to these technical needs, a tool named MultiRain has been developed. The tool computes depth–duration–frequency (DDF) curves, both related to a point and integrated over an area, from multiple regional statistical analyses. The MultiRain procedure is based on Python scripting, geographic information system (GIS) functions and web technologies, and can be performed via web browser or in a desktop GIS environment. A demonstration version has been built using four different regional analyses proposed in a 20-year period for the north-west of Italy.
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Ertwine, Robyn, and Beatrice Jakubowski. "CHID: An Automated Information Retrieval System." Diabetes Educator 12, no. 1 (January 1986): 55–60. http://dx.doi.org/10.1177/014572178601200114.

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The Combined Health Information Database (CHID) is an automated information system designed for health care educators and other health professionals. It contains 20,000 references to jour nal articles, fact sheets, brochures, audiovisual materials, health program descriptions, and other health-related information. Topics include diabetes, arthritis, digestive diseas es, high blood pressure, and health promotion and health education. Access to this information is available nationwide through a subscription service. The information included in CHID can be searched and retrieved quickly by computer, and the results can be orga nized and prepared according to the specific needs of the user.
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Dissertations / Theses on the topic "CAN/OLE (Information retrieval system)"

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Vogt, Karen Fay. "The use of technology in meeting science reform criteria: Can web-based instruction promote scientific literacy?" CSUSB ScholarWorks, 1999. https://scholarworks.lib.csusb.edu/etd-project/1861.

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Science educators are currently facing the challenge of reforming the practices of science education. Publications of various science and educational organizations have established new criteria for accomplishing this goal. The new goal of science educators is scientific literacy for all.
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Books on the topic "CAN/OLE (Information retrieval system)"

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Canada Institute for Scientific and Technical Information. CAN/OLE II system guide. [Ottawa]: The Institute, 1989.

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Brown, Arlene E. Canadian online database systems: A comparative study of CAN/OLE, QL Systems Limited and Info Globe. Edmonton, Alta: University of Alberta, 1987.

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Limited, Canada Law Book. CAN/LAW user's manual. [Aurora, Ont.]: Canada Law Book, 1987.

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Office, General Accounting. The U.S. Nuclear Materials Information System can improve service to its user agencies: Report to the Secretary of Energy. Washington, D.C: The Office, 1985.

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Office, General Accounting. The U.S. Nuclear Materials Information System can improve service to its user agencies: Report to the Secretary of Energy. Washington, D.C: The Office, 1985.

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Office, General Accounting. The U.S. Nuclear Materials Information System can improve service to its user agencies: Report to the Secretary of Energy. Washington, D.C: The Office, 1985.

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Office, General Accounting. The U.S. Nuclear Materials Information System can improve service to its user agencies: Report to the Secretary of Energy. Washington, D.C: The Office, 1985.

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Office, General Accounting. The U.S. Nuclear Materials Information System can improve service to its user agencies: Report to the Secretary of Energy. Washington, D.C: The Office, 1985.

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Office, General Accounting. The U.S. Nuclear Materials Information System can improve service to its user agencies: Report to the Secretary of Energy. Washington, D.C: The Office, 1985.

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Can DOD travelers book a trip?: Defense Travel System update : hearing before the Oversight and Investigations Subcommittee of the Committee on Armed Services, House of Representatives, One Hundred Eleventh Congress, first session, hearing held March 5, 2009. Washington: U.S. G.P.O., 2010.

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Book chapters on the topic "CAN/OLE (Information retrieval system)"

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Behrendt, Wernher, and Felix Strohmeier. "Orchestration and Situation Awareness in an Assistance System for Assembly Tasks." In IFIP Advances in Information and Communication Technology, 332–43. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72632-4_25.

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AbstractWe report on the design, specification and implementation of a situation awareness module used for assistive systems in manufacturing, in the context of Industry 4.0. A recent survey of research done in Germany and Europe, concerning assistive technology in industry shows a very high potential for “intelligent assistance” by combining smart sensors, networking and AI. While the state of the art concerning actual technology in industrial use points more towards user-friendly, speech-based interaction with personal assistants for information retrieval (typically of in-house documentation), the research presented here addresses an enterprise-level assistance system that is supported by a number of specialized Assistance Units that can be customized to the end users’ specifications and that range from tutoring systems to tele-robotics. Key to the approach is situation awareness, which is achieved through a combination of a-priori, task knowledge modelling and dynamic situation assessment on the basis of observation streams coming from sensors, cameras and microphones. The paper describes a working fragment of the industrial task description language and its extensions to cover also the triggering of assistive interventions when the observation modules have sent data that warrants such interventions.
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Gharzouli, Mohamed, and Makhlouf Derdour. "To Implement an Open-MAS Architecture for Semantic Web Services Discovery." In Information Retrieval and Management, 1184–99. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5191-1.ch051.

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Recently, several models have been proposed to design distributed and collaborative infrastructures for web services based systems. In this area, Peer-to-Peer (P2P) networks and Multi-Agents Systems offer many techniques for web services discovery and composition. However, both of the two combinations (P2P/web services and MAS/web services) have suffered from some problems. This article presents a generic P2P/MAS architecture for semantic web services discovery. It tries to merge these two distributed technologies and demonstrate how P2P networks can implement open-MAS architectures to build a collaborative distributed system. The main objective of this article is to find the most appropriate P2P protocol to make such systems. Before the presentation of the proposed architecture, it already presents a background of P2P categories and models. After, it chooses four different P2P protocols wherever it analyzes and discusses, for each one, the stabilization and traffic generation of the network.
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Puttonen, Juha, Andrei Lobov, and José L. Martinez Lastra. "On the Updating of Domain OWL Models at Runtime in Factory Automation Systems." In Information Retrieval and Management, 1665–85. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5191-1.ch075.

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Software agents controlling production devices must maintain an up-to-date view of the physical world state in order to efficiently reason and plan their actions. Especially in a factory automation system, the world state undergoes rapid evolution. To enable accurate decision-making, the world view must constantly be synchronized with the changes. This paper discusses two approaches to updating the world view based on event notifications sent by web services representing production devices in a manufacturing system. One approach requires that a set of update rules is separately specified, whereas the other involves automatically deriving the update rules from the semantic web service descriptions. While this paper specifically focuses on the factory automation domain, both of the approaches presented are applicable to other domains as well. The main assumptions are that the domain is composed of world-altering web services, which provide adequate service interfaces to detect changes in their state, and that all relevant changes in the overall domain state can be directly derived from the service state changes.
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MacKellar, Bonnie, Christina Schweikert, and Soon Ae Chun. "Patient-Centered Clinical Trials Decision Support Using Linked Open Data." In Information Retrieval and Management, 1765–82. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5191-1.ch080.

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Patients often want to participate in relevant clinical trials for new or more effective alternative treatments. The clinical search system made available by the NIH is a step forward to support the patient's decision making, but, it is difficult to use and requires the patient to sift through lengthy text descriptions for relevant information. In addition, patients deciding whether to pursue a given trial often want more information, such as drug information. The authors' overall aim is to develop an intelligent patient-centered clinical trial decision support system. Their approach is to integrate Open Data sources related to clinical trials using the Semantic Web's Linked Data framework. The linked data representation, in terms of RDF triples, allows the development of a clinical trial knowledge base that includes entities from different open data sources and relationships among entities. The authors consider Open Data sources such as clinical trials provided by NIH as well as the drug side effects dataset SIDER. The authors use UMLS (Unified Medical Language System) to provide consistent semantics and ontological knowledge for clinical trial related entities and terms. The authors' semantic approach is a step toward a cognitive system that provides not only patient-centered integrated data search but also allows automated reasoning in search, analysis and decision making using the semantic relationships embedded in the Linked data. The authors present their integrated clinical trial knowledge base development and a prototype, patient-centered Clinical Trial Decision Support System that include capabilities of semantic search and query with reasoning ability, and semantic-link browsing where an exploration of one concept leads to other concepts easily via links which can provide visual search for the end users.
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Prasad, Avagaddi, J. Belwin Edward, and K. Ravi. "Classification of Faults in Power Transmission Systems Using Modern Techniques." In Bio-Inspired Computing for Information Retrieval Applications, 181–203. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2375-8.ch007.

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Power system constitute a major part of the electrical system relating in the present world. Every single portion of this system assumes a major part in the accessibility of the electrical power one uses at their homes, enterprises, workplaces, industrial facilities and so on. Any deficiency in power system causes a ton of inconvenience for the maintenance of the system. So transmission system needs a proper protection scheme to ensure continuous power supply to the consumers. The countless extent of power systems and applications requires the improvement in suitable techniques for the fault classification in power transmission systems, to increase the efficiency of the systems and to avoid major damages. For this purpose, the technical literature proposes a large number of methods. This chapter analyzes the technical literature, summarizing the most important methods that can be applied to fault classification and advanced technologies developed by various researchers in power transmission systems.
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Xie, Iris. "Interactive IR Models." In Interactive Information Retrieval in Digital Environments, 183–214. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-240-4.ch007.

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The nature of information retrieval (IR) is interaction. However, the traditional IR model only focuses on the comparison between user input and system output. It does not illustrate the changeable interaction process (Saracevic, 1997). The human involvement of IR makes the process complicated and dynamic. Belkin (1993) further identified the two underlying assumptions of the traditional IR view: (1) The information need is static, and can be specified; and (2) there is only one form of information-seeking behavior. The limitations of the traditional IR model are becoming more evident. In the 1990s researchers started to develop interactive IR models. Among them, Ingwersen’s cognitive model (1992, 1996), Belkin’s episode model of interaction with texts (1996), and Saracevic’s stratified model (1996a, 1997) are the most cited ones.
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Nanda, Rohan, Llio Humphreys, Lorenzo Grossio, and Adebayo Kolawole John. "Multilingual Legal Information Retrieval System for Mapping Recitals and Normative Provisions." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2020. http://dx.doi.org/10.3233/faia200856.

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This paper presents a multilingual legal information retrieval system for mapping recitals to articles in European Union (EU) directives and normative provisions in national legislation. Such a system could be useful for purposive interpretation of norms. A previous work on mapping recitals and normative provisions was limited to EU legislation in English and only one lexical text similarity technique. In this paper, we develop state-of-the-art text similarity models to investigate the interplay between directive recitals, directive (sub-)articles and provisions of national implementing measures (NIMs) on a multilingual corpus (from Ireland, Italy and Luxembourg). Our results indicate that directive recitals do not have a direct influence on NIM provisions, but they sometimes contain additional information that is not present in the transposed directive sub-article, and can therefore facilitate purposive interpretation.
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Lai, Wei, Maolin Huang, and Kang Zhang. "Generating and Adjusting Web Sub-Graph Displays for Web Navigation." In Intelligent Agents for Data Mining and Information Retrieval, 241–53. IGI Global, 2004. http://dx.doi.org/10.4018/978-1-59140-194-0.ch016.

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A graph can be used for web navigation. The whole of cyberspace can be regarded as one huge graph. To explore this huge graph, it is critical to find an effective method for tracking a sequence of the graph’s subsets (web sub-graphs) based on the user’s focus. This chapter introduces our method for generating and adjusting web sub-graph displays in the process of web navigation. Any online web sub-graph should fit in the display window. To enhance the display, there should not be any overlap between node images in the web sub-graph. Our system ensures that any online web sub-graph has no overlapping node images by letting the user, or the system itself, define the visible and invisible parts of the web graph.
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Bouarara, Hadj Ahmed. "Multi-Agents Machine Learning (MML) System for Plagiarism Detection." In Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management, 103–19. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3004-6.ch007.

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Day after day the cases of plagiarism increase and become a crucial problem in the modern world caused by the quantity of textual information available in the web. As data mining becomes the foundation for many different domains, one of its chores is a text categorization that can be used in order to resolve the impediment of automatic plagiarism detection. This chapter is devoted to a new approach for combating plagiarism named MML (Multi-agents Machine Learning system) composed of three modules: data preparation and digitalization, using n-gram character or bag of words as methods for the text representation, TF*IDF as weighting to calculate the importance of each term in the corpus in order to transform each document to a vector, and learning and vote phase using three supervised learning algorithms (decision tree c4.5, naïve Bayes, and support vector machine).
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V, Sathiyamoorthi. "A User-Centered Log-Based Information Retrieval System Using Web Log Mining." In Advances in Data Mining and Database Management, 343–62. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2013-9.ch014.

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It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Data Mining is also known as knowledge discovery in database (KDD) is one such research area. The discovered knowledge can be applied in various application areas such as marketing, fraud detection, customer retention and production control and marketing to improve their business. It discovers implicit, previously unknown and potentially useful information out of datasets. Recent trends in data mining include web mining where it discovers knowledge from web based information to improve the page layout, structure and its content thereby it reduces the user latency in accessing the web page and website performance.
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Conference papers on the topic "CAN/OLE (Information retrieval system)"

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Sanaei, Roozbeh, Wei Lu, Luciënne T. M. Blessing, Kevin N. Otto, and Kristin L. Wood. "Analogy Retrieval Through Textual Inference." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67943.

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Analogy-making has been deemed one of the core cognitive mechanisms which play a role in human creative thinking activities such as design and art. Designers can make use of analogies in various stages of design including ideation, planning and evaluation. However, human analogy-making is limited by experience and reliance of human memory on superficial attributes rather than relational or causal structure during analogy retrieval. In this regard, different design-by-analogy tools have been developed to assist designers in analogical reasoning. Analogical reasoning tools can be viewed as either based on hand-coded structured knowledge or natural-language-based design-by-analogy tools. The former are naturally limited in extent and scope to that which was hand coded [1]. Alternatively, natural language analogical reasoning can leverage the abundantly available textual resources. Current text-based analogy research for design have relied on analogies between individual word meanings. This leaves open consideration of the relational structure of the language where the relational similarity of texts can indicate a significant analogy. In this article, we develop four computational models of analogy that capture relational structure of the text. This includes spatial representation of semantics, multi-level deep neural reasoning, graph matching based model and transformation-based model. The models are then combined together into an ensemble model to achieve acceptable level of analogical accuracy for the end-user. The underlying design-related knowledge upon which analogies were drawn includes engineering ontologies, function hierarchy and raw patent texts. Instantiating this analogical reasoning model in design concept analogy retrieval system, we show this approach can help retrieve meaningful analogies from the World Intellectual Property Organization (WIPO) patent repository. We demonstrate this for a particular design problem.
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Yoshioka, Masaharu, and Yasuhiro Shamoto. "Knowledge Management System for Problem Solving: Integration of Document Information and Formalized Knowledge." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48217.

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In engineering activities various types of problems have to be solved. Most of these problems are routine problems and some are complicated problems for which it is difficult to formalize all the problem-solving processes. We propose a knowledge management system for supporting these problem solving processes. One example is using information applicable to new and complicated problems that has resulted from solving similar problems in the past. In addition, in such complicated problem solving processes, most of the decomposed sub-problems can be handled as routine problems. In this paper, we propose use of formalized knowledge and document information that represents the history of problem-solving processes to support the solution of both types of problem. For that purpose, we propose the Documentation Management system for Problem Solving (DMaPS), which supports a user solving a problem by document processing. In this support process, the system retrieves related documents for the user’s problems using formalized knowledge and information retrieval techniques. After retrieving related documents, the user modifies them to fit their problem. The modified information is associated with the formalized knowledge and is stored as documents for future reuse.
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Peng, Gaoliang, and Wenjian Liu. "A Desktop VR Based Modular Fixture Design Training System." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34146.

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Modular fixtures are one of the important aspects of manufacturing. This paper presents a desktop VR system which provides a training environment that allows participants to interact naturally with digital objects and configure fixture system instructively. The modular fixture design procedure is proposed. It assists the trainees to make the feasible design decisions and master the necessary principles involved in modular fixture design as well. A hierarchical data model is proposed to represent the modular fixture assembly. Based on this representation, the user can manipulate the virtual models precisely in VE during the design and assembly processes. The assembly relationship between fixture elements is analyzed and the assembly operation process is discussed. Moreover, a Case Based Reasoning (CBR) approach for useful cases retrieval is presented. It provides the trainee with design references to achieve a better design. The case study has demonstrated the functionality of the proposed training system.
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Johannesson, H. L. "System Independent Product Models in Computer Aided Elastomeric Compact Seal Design." In ASME 1988 Design Technology Conferences. American Society of Mechanical Engineers, 1988. http://dx.doi.org/10.1115/detc1988-0003.

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Abstract In this work the problem of designing a CAD-system independent product model data base, to be used in computer aided elastomeric seal design, is treated. It is shown how a general purpose turn-key CAD-system can be used together with an external product model data base and external calculation programs. The importance of storing product information in a CAD-system independent data base instead of on drawings in one particular CAD-system is pointed out. This is of special interest from long time storage point of view, as product related information is expected to live longer in a manufacturing company than one particular CAD-system. In order to be able to transmit data between the CAD-system and the external product model data base, and between the data base and the external calculation programs, special interfaces must be designed. Here it is demonstrated how such interface programs can be designed using FORTRAN 77 and a particular graphic application program language available in the CAD-system CDM 300. For the creation of the data base and for the data storage and data retrieval, the data base management system TORNADO is used. Finally the simultaneous use of the CAD-system, the external data base and the calculation program, when designing an elastomeric seal cross section, is demonstrated with a test example.
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Zhang, Jingsheng, and Shana Smith. "Shape Similarity Matching With Octree Representations." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99397.

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Shape matching is one of the fundamental problems in content-based 3D shape retrieval. Since there are typically a large number of possible matches in a shape database, there is a crucial need to perform shape matching efficiently. As a result, shapes must be reduced into a simpler shape representation, and computational complexity is one of the most important criteria for evaluating 3D shape representations. To meet the need, the investigators have implemented a new effective and efficient approach for 3D shape matching, which uses a simplified octree representation of 3D mesh models. The simplified octree representation was developed to improve time and space efficiency over prior representations. In addition, octree representations are rapidly becoming the standard file format for delivering 3D content across the Internet. The proposed approach stores octree information in XML files, rather than using a new data file type, to facilitate comparing models over the Internet. New methods for normalizing models, generating octrees, and comparing models were developed. The proposed approach allows users to efficiently exchange shape information and compare models over the Internet, in standardized data and data file formats, without transferring exact model files. The proposed approach is the first step in a project which will build a complete 3D model database and data retrieval system, which can be incorporated with other data mining techniques.
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Mohamed, Khaled A. "Architecture Design for Automatic Step-NC Code Generation Within Distributed Integrated Manufacturing Environment." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14333.

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Most of the companies still use the old or traditional practice for generating the NC code for machining as opposed to automated NC code generation, because they either lack the CAD/CAM technology or suffer from a gap between CAD/CAM (or CAM) and CNC machining. That leads to a missing link between the design department and the manufacturing department (or shop floor). The primary objective of this work is to create an integrated manufacturing environment in which a part would be designed using a standard available CAD system. The design is saved in a CAD file has standard format (STEP, ISO 10303). Feature extraction system is developed and used to extract out machining or manufacturing features. Artificial Intelligence (AI) and knowledge-based systems are developed based on 'Agent Technology'. The agents are programmed to accomplish various activities such as selecting machine types, cutting tools and cutting parameters to machine specific geometries or features. Then, feature data is saved in a in a STEP-NC (ISO14649) file, which can be transmitted between various locations and CAX systems. They are used for information retrieval, data exchange, and decision-making support. So, product data and information is available to shop floor and machine tool in addition to CAD/CAM systems.
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Germain, George L., and Terry W. Clarke. "The A.R.T. of Supervisory Control and Data Acquisition." In 1998 2nd International Pipeline Conference. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/ipc1998-2104.

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Understanding Business Process needs is critical to successful implementation of new Information Technology. Understanding Information Technology capabilities is critical to successful evolution of Business Processes. Supervisory Control and Data Acquisition (SCADA) systems have been in the gas industry since the 1960’s. Earlier systems provided some data or information from the remotely controlled locations and a few key inter-connections. Now, sophisticated networked systems which contain layers of information detail from field devices and other computerized processes, feed simulators designed to study the process, use expert systems to advise on capability, and provide excellent data and information retention and retrieval tools. The potential to automate business processes is more complete than ever before. Computers can now help to manage integrated business processes where important data and information is moved regularly from one business process to another under the watchful eye of validation steps, at specified frequencies, with all the necessary reporting to process workers about the health, and performance, of the business process, process links, and the computer system. The business must understand the benefits and constraints which technology offers to a business process, and find ways to evolve the process with the new technology in hand. The IT manager must understand the business process needs in order to provide the appropriate technology to enable the business process with quick-change capability when change is indicated. This paper explores some of the relationships between the business process, and the technology impacting the process, on the way to producing a flexible, enduring, and friendly SCADA network, ready to interact with other SCADA systems, other internal processes, and the external world.
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Balajiranganathan, Anupreethi, Anurag Gupta, Umasankari Kannan, and Akhilanand Pati Tiwari. "Optimization of In-Core Detector Locations in AHWR Using Bond Energy Algorithm." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16480.

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Abstract A solution to optimization of in-core detectors placement for Advanced Heavy Water Reactor (AHWR) has been attempted. AHWR houses in-core detector units with Self-Powered Neutron Detectors (SPND) distributed axially and their measurement serves as an input to Online Flux Mapping System (OFMS) to monitor the three-dimensional neutron flux distribution. There is a requirement of placing these in-core detectors at optimum locations to retrieve maximum information about the reactor while keeping their number to the minimum. This paper attempts to optimize SPND placement through the application of Bond Energy Algorithm (BEA), a clustering technique which groups the SPNDs based on correlation. This works on the concept of grouping strongly correlated SPNDs into blocks and choosing one SPND from each block as the optimal location. The higher the uncorrelation among optimal SPNDs, the higher the independent information retrieved about the actual configuration of the reactor. It can be inferred from this work that the number and location of SPNDs are highly dependent on the initial set of SPND locations and the correlation threshold. It can be seen that as the correlation threshold increases, the number of optimal locations increases. The obtained optimal locations have been validated for various operational reactor configurations using different Flux Mapping Algorithms (FMA).
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Dinar, Mahmoud, and David W. Rosen. "A Design for Additive Manufacturing Ontology." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60196.

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Design for additive manufacturing (DFAM) gives designers new freedoms to create complex geometries and combine parts into one. However, it has its own limitations, and more importantly, requires a shift in thinking from traditional design for subtractive manufacturing. There is a lack of formal and structured guidelines, especially for novice designers. To formalize knowledge of DFAM, we have developed an ontology using formal OWL/RDF representations in the Protégé tool. The description logic formalism facilitates expressing domain knowledge as well as capturing information from benchmark studies. This is demonstrated in a case study with three design features: revolute joint, thread assembly (screw connection), and slider-crank. How multiple instances (build events) are stored and retrieved in the knowledge base is discussed in light of modeling requirements for the DFAM knowledge base: knowledge capture and reuse, supporting a tutoring system, integration into CAD tools. A set of competency questions are described to evaluate knowledge retrieval. Examples are given with SPARQL queries. Knowledge documentation is the main objective of the current ontology. However, description logic creates multiple opportunities for future work, including representing and reasoning about DFAM rules in a structured modular hierarchy, discovering new rules with induction, and recognizing patterns with classification, e.g., what leads to “successful” vs. “unsuccessful” fabrications.
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Qamhiyah, A. Z., B. Benhabib, and R. D. Venter. "Coding and Classification of Geometric Models." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0230.

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Abstract For the efficient manipulation of information in support of design and manufacturing one would need to access large active databases. In this context, it is envisioned that 3-D object models must be easily retrieved for modification, or for simply reviewing related information. This paper addresses the development of a classification system for the efficient retrieval of 3-D object CAD models. For the design of a new object the user would access the database to locate the most similar object model and, if worthwhile, modify it to attain a model for the new object under consideration. The proposed classification procedure comprises three main stages: First, 3-D geometrical data, sufficient for classification, is determined and extracted from a selected model of the object, and a primary representation domain is determined. Contours, were selected as the basic descriptive units. Based on this selection, relationships defined by descriptor elements were established between (a) two solid contours; (b) a solid and a hollow contour; and, (c) two hollow contours. In order to facilitate the use of the descriptor elements, a simple alpha-numeric coding system was developed. In the second stage, the description of the object is mapped from the geometrical domain into a numerical-factor domain, where each contour is represented by a numerical value. In the final stage, a code is generated based on the factor-domain representation in the form of a Fourier signature. Classification is then carried out according to the similarity of the generated Fourier signatures.
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