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1
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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Angdresey, Apriandy, Miguel Angelo Lamongi, and Rinaldi Munir. "Information Retrieval System in the Bible." CogITo Smart Journal 7, no. 1 (June 30, 2021): 111. http://dx.doi.org/10.31154/cogito.v7i1.300.111-120.
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Information retrieval is used to search for relevant documents so that they can be obtained quickly and precisely. There are many Christians who want to study the gospel. However, often experience problems in finding the Gospel verse and topics dealing with the need to search by the user. Therefore, have to search individually, each verse in the four Gospels to find the topic or verse that the user wants to find out. In this study, the authors used the Bible verses in the Gospels as documents, so that these verses could be searched for the level of relevance or similarity to the entered keywords. Furthermore, to determine the level of relevance between documents and keywords is calculated using the Vector Space Model. Based on the application that has been successfully built, the application can be show 10 documents related to the keywords that are searched and sorted from the most relevant, with the highest similarity value, namely 78.65%.Keywords - Information Retrieval, Vector Space Model, Bible.
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Ashbaugh, Hollis, Karla M. Johnstone, and Terry D. Warfield. "Corporate Reporting on the Internet." Accounting Horizons 13, no. 3 (September 1, 1999): 241–57. http://dx.doi.org/10.2308/acch.1999.13.3.241.
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In this paper, we examine firms' use of the Internet to enhance the relevance of their financial reporting. We define a firm as practicing Internet Financial Reporting (IFR) when it provides in its web site either (1) a comprehensive set of financial statements (including footnotes and the auditors' report), (2) a link to its annual report elsewhere on the Internet or (3) a link to the U.S. Security and Exchange Commission's (SEC) Electronic Data Gathering, Analysis and Retrieval (EDGAR) system. While 70 percent of the firms in our sample engage in IFR, we find substantial variation in the quality of firms' IFR practices. Specifically, the variations in quality pertain to the timeliness and therefore, the usefulness of firms' financial reporting on the Internet. We find that some firms provide more timely financial disclosures via the Internet (e.g., monthly sales) while other firms report outdated financial data (e.g., two-year old annual reports). We also observe that the usefulness of firms' financial reporting on the Internet depends on how easy it is to access that data, the amount of data disclosed and/or whether users can download or analyze the data. To substantiate firms' incentives for engaging in IFR, we sent surveys to firms with web sites in our sample and asked them to report their perceived costs and benefits related to establishing an Internet presence. Firms responded to our questions about why they established an Internet presence by indicating that they perceive their web sites to be an important vehicle to disseminate information to shareholders. After documenting how and why firms use the Internet to voluntarily disclose financial information, we develop the implications of such practices for consumers who demand financial information, firms that supply financial data, auditors and market regulators.
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Gao, Ruoyuan. "Toward a fairer information retrieval system." ACM SIGIR Forum 55, no. 1 (June 2021): 1–2. http://dx.doi.org/10.1145/3476415.3476429.
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With the increasing popularity and social influence of information retrieval (IR) systems, various studies have raised concerns on the presence of bias in IR and the social responsibilities of IR systems. Techniques for addressing these issues can be classified into pre-processing , in-processing and post-processing. Pre-processing reduces bias in the data that is fed into machine learning models. In-processing encodes fairness constraints as a part of the objective function or learning process. Post-processing operates as a top layer over the trained model to reduce the presentation bias exposed to users. This dissertation explored ways to bring the pre-processing and post-processing approaches, together with the fairness-aware evaluation metrics, into a unified framework as an attempt to break the vicious cycle of bias and improve fairness in IR. We first investigated the existing bias presented in search engine results. Specifically, we focused on the top-k fairness ranking in terms of statistical parity fairness and disparate impact fairness definitions. With Google search and a general purposed text cluster as a lens, we explored several topical diversity fairness ranking strategies to understand the relationship between relevance and fairness in search results. Our experimental results showed that different fairness ranking strategies resulted in distinct utility scores and performed differently with distinct datasets. Second, to further investigate the relationship of data and fairness algorithms, we developed a statistical framework that was able to facilitate various analysis and decision making. Our framework could effectively and efficiently estimate the domain of data and solution space. We derived theoretical expressions to identify the fairness and relevance bounds for data of different distributions, and applied them to both synthetic datasets and real world datasets. We presented a series of use cases to demonstrate how our framework was applied to associate data and provide insights to fairness optimization problems. Third, we proposed an evaluation metric FAIR for the ranking results that encoded fairness, diversity, novelty and relevance. This metric offered a new perspective of evaluating fairness-aware ranking results. Based on this metric, we developed an effective ranking algorithm that jointly optimized for fairness and utility. Our experiments showed that our new metric was able to highlight results that achieved good user utility and fair information exposure at the same time. We showed how FAIR metric related to existing metrics through correlation analysis and case studies, and demonstrated the effectiveness of our FAIR-based algorithm.
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Shen, Jin Xing. "Ontology-Based Semantic Retrieval for Management Information System." Applied Mechanics and Materials 278-280 (January 2013): 2069–72. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2069.
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In order to achieve semantic retrieval for scientific research information in WWW, this paper applies an ontology-based framework to information retrieval system for management information system. After analyze the limitations of traditional method, bring a semantic search forward, and mainly introduce the thought of the semantic retrieval as well as the way to constitute ontology entity and the language that describes it. Moreover, semantic retrieval system based on ontology is also given. The application to retrieve project information shows that the framework can overcome the localization of other ontology’s models, and this research facilitates the semantic retrieval of management information through semantic retrieval concepts on the Semantic Web.
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Zhang, Shu Dong, and Yan Chen. "Research on Domain Ontology-Based Intelligent Information Retrieval System." Key Engineering Materials 460-461 (January 2011): 300–304. http://dx.doi.org/10.4028/www.scientific.net/kem.460-461.300.
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Domain ontology introduces a new theory and method for information retrieval. In this paper, we analyze the deficiencies of traditional information retrieval and explore the relationship between domain ontology and information retrieval, as well as the basic design ideas of information retrieval based on domain ontology. Finally we present a domain ontology-based intelligent information retrieval system, so that the information retrieval can be promoted from the keyword level to the semantic level. With the rapid development of the national economy and the growth of information resources, traditional methods relying on the browser, database fields, keyword matching, or even manual retrieval query has become increasingly difficult to meet people's information retrieval needs. How to quickly and accurately identify the needed information resources has become a urgent question in front of us. Information retrieval is a technology which can find out the relevant information the user needs from a collection of large amounts of information. It has experienced manual retrieval, computer retrieval stage, now it has developed to the network and intelligent stage. The objects of information retrieval extend from a relative closed, stable and consistent, centrally managed information content by an independent database to an open, dynamic, quickly update, widely distributed, and loosely managed web content; the users of information retrieval also spread from professional intelligence agent to the common including government officials, businessmen, managers, teachers, students, professionals, etc. They ask for the higher and more diverse requirements from the results to the manner of information retrieval. Adapting to the need for network, intelligence and personalization is a new trend of information retrieval technology.
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Wrba, Th, G. Duftschmid, P. Sachs, W. Gall, Ch Rehnelt, G. Boldt, W. Premauer, and W. Dorda. "ArchiMed: A Medical Information and Retrieval System." Methods of Information in Medicine 38, no. 01 (1999): 16–24. http://dx.doi.org/10.1055/s-0038-1634148.
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Abstract:ArchiMed is a highly flexible medical data storage and retrieval system which adds sophisticated clinical research support to a standard hospital information system (HIS).Currently, the HIS of Vienna General Hospital-University Hospital (2000 beds) stores the clinical data of over 2 million patients. While this system supports patient care (e.g., ADT, clinical chemistry, diagnosis, procedures), it has no features to facilitate research, such as the management of clinical studies.ArchiMed is designed to support clinical research. It includes an independent database, which mirrors virtually all the information held in the HIS while also allowing new data to be collected independently and to be added to the database. Flexible retrieval and analysis of data contained in the database are then possible. Thus, existing patient data can be smoothly incorporated into a study together with data collected specifically for research purposes. The system has already been successfully installed in the departments of surgery and soon in other departments as well.
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Myna, A. N., K. Deepthi, and Samvrudhi V. Shankar. "Hybrid Recommender System for Music Information Retrieval." Journal of Computational and Theoretical Nanoscience 17, no. 9 (July 1, 2020): 4145–49. http://dx.doi.org/10.1166/jctn.2020.9035.
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Music plays an integral role in our lives as the most popular type of recreation. With the advent of new technologies such as Internet and portable media players, large amount of music data is available online which can be distributed and easily made available to people. Enormous amount of music data is released every year by several artists with songs varying in features, genre and so on. Because of this, a need for reliable and easy access of songs based on user preferences is necessary. The recommender system focuses on generating playlists based on the physical, perceptual and acoustical properties of the song (content based filtering approach), or on commonalities between users on a particular basis like ratings or user data history (collaborative filtering). The system thus developed is a hybrid music recommender tool which creates a user centric suggestion system accompanied by feature extraction which in turn enhances the accuracy of music recommendations.
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BAGGIA, P., L. FISSORE, E. GIACHIN, G. MICCA, C. RULLENT, and P. LAFACE. "A SPEECH UNDERSTANDING SYSTEM FOR INFORMATION RETRIEVAL." International Journal of Pattern Recognition and Artificial Intelligence 08, no. 01 (February 1994): 71–97. http://dx.doi.org/10.1142/s0218001494000048.
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This paper describes a Continuous Speech Understanding System that allows information services to be accessed through the telephone line. It accepts queries within a restricted semantic domain, expressed in free but syntactically correct natural language, with a lexicon of the order of 800 words. In the implementation here described, a user can access an electronic mailbox or a train information service through a PABX telephone line. The architecture of the system is based on two main modules that represent and use different knowledge sources. A speaker independent recognition module generates, for each utterance, a lattice of word hypotheses which is the interface to an understanding module that performs the syntactic and semantic analysis. The recognition module is based on Hidden Markov Models of subword units, and performs the acoustic decoding process according to a beam search strategy. The understanding module finds the most likely sequence of words and represents its meaning in a format which facilitates the access to a database. It makes use of a modified caseframe analysis guided by the word hypotheses scores. Experiments were performed with 600 sentences from 10 speakers on the E-Mail application task. Using 15 Gaussian mixtures per state, a word accuracy of 75.7 was obtained with a test vocabulary of 787 words and no linguistic constraints. Linguistic processing of the corresponding lattices achieved a sentence understanding rate of 82%.
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Yu, Xiao Qing, Wen Gen Wang, Jian Hua Shi, and Yun Hui Wang. "An Information Retrieval System Based on Portable Device." Advanced Materials Research 712-715 (June 2013): 2706–11. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2706.
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Information retrieval is the activity to organize information in a certain way, and according to the users demand to find out the related information from a collection of resources. Retrieval process and technology can be based on metadata or full-text indexing. Most of the relevant information retrieval systems are devised on the computer. However, with the highly development of the embedded technology, some popular application have been developed on the platform. In this paper, we will introduce an information retrieval system on the iOS platform which is more convenient, practical, and effective compared with the traditional system. And we will introduce an application based on this system design. The experiments shown that this system was exactly effective utilized to retrieval audio information.
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Toledo, Raphael R., George Danezis, and Ian Goldberg. "Lower-Cost ∈-Private Information Retrieval." Proceedings on Privacy Enhancing Technologies 2016, no. 4 (October 1, 2016): 184–201. http://dx.doi.org/10.1515/popets-2016-0035.
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Abstract Private Information Retrieval (PIR), despite being well studied, is computationally costly and arduous to scale. We explore lower-cost relaxations of information-theoretic PIR, based on dummy queries, sparse vectors, and compositions with an anonymity system. We prove the security of each scheme using a flexible differentially private definition for private queries that can capture notions of imperfect privacy. We show that basic schemes are weak, but some of them can be made arbitrarily safe by composing them with large anonymity systems.
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Chang, Shi-Kuo, Daniel Graupe, Keiko Hasegawa, and Hubert Kordylewski. "An Active Multimedia Information System for Information Retrieval, Discovery and Fusion." International Journal of Software Engineering and Knowledge Engineering 08, no. 01 (March 1998): 139–60. http://dx.doi.org/10.1142/s0218194098000108.
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To accomplish the retrieval, discovery and fusion of multimedia information from diverse sources, an active multimedia information system capable of retrieving, processing and filtering multimedia information, checking for consistency, and structuring the relevant information for distribution is needed. We describe a framework for the human- and system-directed retrieval, discovery and fusion of multimedia information, which is based upon the observation that a significant event often manifests itself in different media over time and space. Therefore if we can index such manifestations and dynamically link them, then we can check for consistency and discover important and relevant multimedia information. This dynamic indexing technique is based upon the theory of active index. For the discovery of significant events, a powerful newly developed artificial neural network is used to serve as the decision network subsystem of the proposed information system. An experimental system is implemented for further empirical research.
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Sonawale, Nitin. "Criminal Records Information Retrieval System: A Conceptual Model." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 15, 2021): 1473–76. http://dx.doi.org/10.22214/ijraset.2021.36575.
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This model helps to increase communication between Police and public. It will reduce time & increase the problem solving efficiency in time period it will be more helpful. In this admin is key person, user(police) is also have secure registration & public can communicate with all other users through mail. Here we are going to use clustering technique because it more powerful to forming accurate cluster, speed of creating cluster, identifying crime trend & crime zone ,crime density of state.
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Wang, Yu, Yang Liu, Pei Pei Qi, and Xiao Nian Xiong. "Applied-Information Technology in Safety Throughput Analysis for Crude Oil Pipeline System." Advanced Materials Research 951 (May 2014): 165–68. http://dx.doi.org/10.4028/www.scientific.net/amr.951.165.
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The mathematical models of process calculation and safety throughput analysis of crude oil pipeline system have been established. On the basis of.Net platform and Microsoft Access DB tool, With the help of OLE DB database connection, The software of safety throughput analysis for crude oil pipeline system has been developed, by which the function of static and dynamic data management, process calculation, safety throughput calculation can be realized. By means of this technical measure, the operation management level of crude oil pipeline system will increase a huge step.
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Jena, Gouranga Charan, and Siddharth Swarup Rautaray. "A comprehensive survey on cross-language information retrieval system." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (April 1, 2019): 127. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp127-134.
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Cross language information retrieval (CLIR) is a retrieval process in which the user fires queries in one language to retrieve information from another (different) language. The diversity of information and language barriers are the serious issues for communication and cultural exchange across the world. To solve such barriers, Cross language information retrieval system, are nowadays in strong demand. CLIR is a subset of Information Retrieval (IR) system. Information Retrieval deals with finding useful information from a large collection of unstructured, structured and semi-structured data to a user query where the query is a set of keywords. Information Retrieval can be classified into different classes such as Monolingual information retrieval, Bi-Lingual Information Retrieval, Multilingual information retrieval and Cross language information retrieval. This paper focuses on the various IR variants and techniques used in CLIR system. Further, based on available literature, a number of challenges and issues in CLIR have been identified and discussed. It gives an overview of the advantages, limitations, tools available in CLIR research. It also describes new application areas of CLIR such as medical, multimedia, question answering system etc. The need for exploring and building more specialized information system that enable speakers of an Odia language to discover valuable information beyond linguistic and cultural barriers. This study is aimed at building an experimental CLIR system between one of the under-resourced language (i.e. Odia) and one of the most commonly used online language (i.e. English) in future.
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Takama, Yasufumi, and Kaoru Hirota. "Topic-based Intelligent Support System for Information Retrieval." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 6 (November 20, 2000): 457–63. http://dx.doi.org/10.20965/jaciii.2000.p0457.
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We propose a new concept of intelligent support systems for topic-based information retrieval. As information retrieval (IR) on the World Wide Web (WWW) becomes widespread, new types of tools and systems that do not only find specific pages the user wants, but also and helping the user learn about a particular field of interest are increasingly needed. Two systems based on this consideration are introduced in this paper. One is the Fish View system for supporting document-ordering. It focuses on the user’s document-ordering (making diagrams) while reading, and the user’s viewpoint is represented by a combination of a small number of concepts taken from the existing concept structure dictionary. The extracted viewpoint can be used for measuring the similarity among documents, using fisheye matching, the extended Vector Space Model. The other is the query network for visualization of the topic distribution through WWW IR, and its concept employing the Immune Network model is introduced with preliminary experiments.
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Kononova, Lydia. "Genealogical characteristics of the horse breeding nucleus of thoroughbred horse breed bred in the Stavropol Territory." Agrarian Bulletin of the 193, no. 2 (March 15, 2020): 44–53. http://dx.doi.org/10.32417/1997-4868-2020-193-2-44-53.
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Abstract. Interest in horse breeding in the Stavropol Territory is not accidental: it is a traditional and historically developed branch of animal husbandry. The priority link of the branch, of course, is pedigree horse breeding. Goal is the analysis of the of thoroughbred horse breed population in the Stavropol Territory on the example of the leading breeding farms. The object of the study were stallions (n = 16) and breeding mares (n = 86) thoroughbred horse breed, bred in breeding farms of the Stavropol Territory (Agricultural Production Enterprise “Svobodnyy trud” LLC, Agricultural Production Enterprise “Novomaryevskoye” LLC, Federal State Unitary Enterprise “Rassvet-Stavropol”). Information sources of research: pedigree horses, scoring, statements of results, catalogs of stallions State stud books of horses of thoroughbred riding breed, data from KONI-3 information retrieval system. Results and scope. Used in breeding farms of Stavropol territory stallions of thoroughbred horse breed are represented by 5 genealogical lines: Northern Dancer, Native Dancer, Nasrullah, Blandford and Man O’War. The number of stallions belonging to the old Phalaris line is 14 heads (87,5 %). One head each (6,25 %) falls on the representative of the Blandford line in Agricultural Production Enterprise “Novomaryevskoye” LLC and the Man O'War line at the Federal State Unitary Enterprise “Rassvet-Stavropol”. Evaluation of the mares in the nuclear stock thoroughbred riding breed showed that their genealogical structure is represented by 12 lines. It should be noted that 5 lines of Northern Dancer, Native Dancer, Nasrullah, Fairway and Turn-to go back to one ancestor, the line of Phalaris, which accounts for 82,6 % of the total number of breeding mares. The obtained results can be used in further research, the practical work of livestock breeding farmers and individuals engaged in breeding horses of thoroughbred riding breed. The results of the research can be recommended as educational material for students and undergraduates of universities studying in the areas of training zootechnical profile. The scientific novelty of the research lies in the fact that, for the first time, a comparative genealogical and zootechnical characteristization of stallions and mares of the nuclear of thoroughbred horse breed bred in the Stavropol Territory was carried out.
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(Jenny) Yuan, Xiaojun, and Nicholas J. Belkin. "Applying an information-seeking dialogue model in an interactive information retrieval system." Journal of Documentation 70, no. 5 (September 2, 2014): 829–55. http://dx.doi.org/10.1108/jd-06-2013-0079.
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Purpose – People often engage in different information-seeking strategies (ISSs) within a single information-seeking episode. A critical concern for the design of information retrieval (IR) systems is how to provide support for these different behaviors in a manner which searchers can easily understand, navigate and use, as they move from one ISS to another. The purpose of this paper is to describe a dialogue structure that was implemented in an experimental IR system, in order to address this concern. Design/methodology/approach – The authors conducted a user-centered experiment to evaluate the IR systems. Participants were asked to search for information on two different task types, with four different topics per task, in both the experimental system and a baseline system emulating state-of-the-art IR systems. The authors report here the results related explicitly to the use of the experimental system's dialogue structure. Findings – For one of the task types, most participants followed the search steps as predicted in the dialogue structures, and those who did so completed the task in fewer moves. For the other task type, predicted order of moves was often not followed, but participants again used fewer moves when following the predicted order. Results demonstrate that the dialogue structures the authors designed indeed support effective human information behavior patterns in a variety of ways, and that searchers can effectively use a system which changes to support different ISSs. Originality/value – This study shows that it is both possible and beneficial, to design an IR system which can support multiple ISSs, and that such a system can be understood and used successfully.
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Chang, Shoude, Kui Yu, and Jiaren Liu. "Advanced Secure Information Retrieval Technology for Multilayer Information Extraction." Journal of Nanomaterials 2008 (2008): 1–9. http://dx.doi.org/10.1155/2008/589532.
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Secure information retrieval technology aims at status identification and documentation authentication. Ideally, materials or devices used in these technologies should be hard to find, difficult to counterfeit, and as simple as possible. This manuscript addresses a novel information retrieval technology, with photoluminescent (PL) semiconductor quantum dots (QDs) synthesized via wet chemistry approaches used as its coding materials. Conceptually, these QDs are designed to exhibit emission at Fraunhofer line positions, namely, black lines in the solar spectrum; thus, the retrieval system can extract useful information under sunshine covering areas. Furthermore, multiphoton excitation (MPE) technology enables the retrieval system to be multilayer information extraction, with thin films consisting of QDs applied to various substrates, such as military helmets and vehicle and fingernails. Anticipated applications include security, military, and law enforcement. QD-based security information can be easily destroyed by preset expiration in the presence of timing agents.
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V.Phani Krishna, K., M. Mani Kumar, and P. S.G.Aruna Sri. "Student Information System and Performance Retrieval Through Dashboard." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 682. http://dx.doi.org/10.14419/ijet.v7i2.7.10922.
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The principle focal point of information mining is to gather diverse information from databases or information ware houses and the data gathered that had never been known, it is legitimate and operational. Instructive establishments can utilize this to keep up all the data of understudy scholastics effectively which is basically imperative. The execution of understudies in their scholastics is a defining moment for their brightest vocation. Foreseeing understudy scholarly execution has been a basic research point in Educational Data Mining (EDM) which utilizes machine learning and information mining methods to look at information from illuminating settings. Estimating understudy scholarly execution is trying since it relies upon different elements. Grouping and Prediction are among the significant procedures in information mining and assumes an essential part in EDM. The requirement for this is to empower the college to mediate and give help to low achievers as right on time as conceivable. In this examination we build up a grouping model usingC4.5 calculation for area savvy execution assessment framework for designing understudies. It additionally brings network between educators, understudies and guardians by keeping them refreshed with their kid execution consistently. The entire framework will be accessible through a protected, online interface inserted in school sit.
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Xu, Guan Chun. "System of Intelligent Library Retrieval Based on Data Mining." Applied Mechanics and Materials 568-570 (June 2014): 1612–15. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1612.
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Digital Library Retrieval involves the mathematical model of information retrieval algorithms, it is very important to design an algorithm to make the best books to extract the required information to involve the association rules and classification method for predicting the reader from the database and potentially fast and accurate information use problems. In this paper, the intelligent retrieval of books were analyzed using data mining algorithms can be studied books intelligent retrieval application, until practical algorithm to solve the retrieval model first developed fit the requirements and design a library information library books to achieve intelligent retrieval system.
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Demian, Peter, Kirti Ruikar, Tarun Sahu, and Anne Morris. "Three-Dimensional Information Retrieval (3DIR)." International Journal of 3-D Information Modeling 5, no. 1 (January 2016): 67–78. http://dx.doi.org/10.4018/ij3dim.2016010105.
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An increasing amount of information is packed into BIMs, with the 3D geometry serving as a central index leading to other information. The 3DIR project investigates information retrieval from such environments. Here, the 3D visualization can be exploited when formulating queries, computing the relevance of information items, or visualizing search results. The need for such a system was specified using workshops with end users. A prototype was built on a commercial BIM platform. Following an evaluation, the system was enhanced to exploit model topology. Relationships between 3D objects are used to widen the search, whereby relevant information items linked to a related 3D object (rather than linked directly to objects selected by the user) are still retrieved but ranked lower. An evaluation of the enhanced prototype demonstrates its effectiveness but highlights its added complexity. Care needs to be taken when exploiting topological relationships, but that a tight coupling between text-based retrieval and the 3D model is generally effective in information retrieval from BIMs.
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Rahal, Imad, Baoying Wang, and Riad Rahhal. "Automated Gene-Retrieval System for Biological Information Needs." Journal of Information & Knowledge Management 08, no. 01 (March 2009): 13–23. http://dx.doi.org/10.1142/s0219649209002191.
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In this day and age, conducting a biological experiment is presumably a very expensive procedure largely owing to the highly sophisticated and expensive equipment necessitated by the process. Conceivably, being capable of isolating and focusing on a smaller set of imperative genes or gene products that are of high relevance to the experiment, pathway, or biological system under investigation is very desirable largely owing to the potential savings in experimental costs. In this work, we propose an intelligent information system capable of generating a ranked list of genes and gene products that are most pertinent to a given biological pathway, experiment or system (referred to as a biological context henceforth). We assume that the biological context of interest can be described by various textual query terms and phrases from the biological domain which, in turn, relate to various molecular functions, biological processes and cellular components of genes and their products. Intelligent text-based analyses and mining are utilised for this purpose by using the published literature, in the form of publication abstracts downloaded from PubMed, with the intention of ranking genes and gene products having identified relationships to the specified description terms based on the gene ontology (GO) standard. At this stage, our approach is capable of producing promising results given all surrounding restrictions, one of which is the lack of similar work in the literature. For demonstration purposes, we report experimental results on the molting regulation pathway in Drosophila melanogaster (fruit fly).
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Hong, Ying. "Research of Personalized Intelligent Information Retrieval System Based on Agent." Advanced Materials Research 945-949 (June 2014): 3406–9. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.3406.
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To efficiently retrieve information from the vast source of the internet, search engines are required. There are some search engines that can help people to search for needed information, but they are difficult to ensure precision rate and personalization of information. To solve these problems, this paper proposed a personalized information retrieval system based on meta-search engine. This paper used multi-agent technology to construct the personalized information retrieval system, adopted user knowledge database to create and update user model and improved vector space model algorithm combining with user knowledge database which used in results ranking. Analysis and experiment show that personalized information retrieval system implemented in this paper can improve the precision ratio and can meet the needs of the user's personality requirements.
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Xu, Fei Fei, Tie Ping Liu, and Ye Ming Zhang. "Study of Geological Disaster Information System Based on Skyline." Applied Mechanics and Materials 204-208 (October 2012): 3384–88. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.3384.
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The Wudongde reservoir area 3D visualization geological disaster information system is designed in this paper, based on the superiority of Skyline software and Skyline TerraExplorer API. It consists of two parts: retrieval browsing system and spatial analysis system. Retrieval browsing system has several functions, such as displaying, browsing, information retrieval, data statistics, querying, searching and printing. Spatial analysis system sets the core modules, including spatial calculation, terrain analysis and flood-inundated simulation. It is verified by application that this system can be used for displaying 3D scene of the Wudongde reservoir area terrain, providing decision support for the governor, reaching the design requirements wholly.
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IKEDA, TAKASHI, and MASAFUMI HAGIWARA. "CONTENT-BASED IMAGE RETRIEVAL SYSTEM USING NEURAL NETWORKS." International Journal of Neural Systems 10, no. 05 (October 2000): 417–24. http://dx.doi.org/10.1142/s0129065700000326.
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An effective image retrieval system is developed based on the use of neural networks (NNs). It takes advantages of association ability of multilayer NNs as matching engines which calculate similarities between a user's drawn sketch and the stored images. The NNs memorize pixel information of every size-reduced image (thumbnail) in the learning phase. In the retrieval phase, pixel information of a user's drawn rough sketch is inputted to the learned NNs and they estimate the candidates. Thus the system can retrieve candidates quickly and correctly by utilizing the parallelism and association ability of NNs. In addition, the system has learning capability: it can automatically extract features of a user's drawn sketch during the retrieval phase and can store them as additional information to improve the performance. The software for querying, including efficient graphical user interfaces, has been implemented and tested. The effectiveness of the proposed system has been investigated through various experimental tests.
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Huang, Gang, Xiu Ying Wu, and Man Yuan. "Information Integration System Based on Ontology." Applied Mechanics and Materials 533 (February 2014): 444–47. http://dx.doi.org/10.4028/www.scientific.net/amm.533.444.
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This paper studies Ontology-based information integration system and its implementation methods, the use of XML and RDF semantic description of the content of the information, so that these data are no longer just for the line search, this simple retrieval methods do not take full advantage of the information content the potential of the machine to understand the basis of the information content, the application can be completed more intelligent reasoning queries.
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Ильиченкова, Зоя, Zoya Ilichenkova, Светлана Иванова, and Svetlana Ivanova. "SYSTEM OF RETRIEVAL AND ANALYSIS OF RELIABLE INFORMATION IN INTERNET NETWORK." Bulletin of Bryansk state technical university 2016, no. 3 (September 30, 2016): 243–49. http://dx.doi.org/10.12737/22128.
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Now in the world a problem of reliable information retrieval in the Internet network is especially critical. It is defined by increased data capacity and by the absence of control over data placement. It is offered to determine information reliability by methods of fuzzy logic at the correct formation of retrieval request. For the estimate of completeness, truth and integrity of data obtained it is offered to rely upon the analysis of information from other pages of a site found. In accordance with this the notions of topical closeness of site pages and reliability of information presented in the remaining sections. To organize an output are compiled the rules for the integral reliability output of a site page. For example, if information on a page does not coincide with analyzed one and is reliable then one can suppose that related information is reliable. Further, with the use of Mam-dani controller is carried out a defuzzification. A technology for a retrieval request organization is offered to increase an information content retrieval. The technologies offered for retrieval and analysis of information allow increasing effectiveness and a retrieval rate of reliable, integrated and true information in the Internet network.
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VanSickle, John J., and Thomas J. Stevens. "Market Information Systems: An Online Agricultural Market News Retrieval System." Journal of Agricultural and Applied Economics 21, no. 2 (December 1989): 195–201. http://dx.doi.org/10.1017/s0081305200001308.
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AbstractA minicomputer online information retrieval program is described that is designed to facilitate timely distribution of agricultural market news to state and county research and extension faculty. These faculty have designed programs that extend this information to clientele in their areas. An evaluation indicates that users find great value in this network. Usage has grown rapidly over the period the network has been available. This program is available and can be used by other states and clientele.
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Suessmuth, Patrick. "Information Retrieval: Finding That Lost Article." Public Personnel Management 15, no. 4 (December 1986): 429–41. http://dx.doi.org/10.1177/009102608601500411.
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Keeping current with professional literature is an arduous task. To cope with the profusion of articles, surveys, studies, brochures, etc., many of us employ the “file and forget” method of reviewing documents. Unfortunately, this method doesn't help us when we need specific information on a particular topic, and we have a faint recollection that we've “read something on this very subject…what was it?…where is it?” This article describes an easy-to-use tracking system where you can continue to “file and forget” (at least for the moment) and then find that special article—and many others on the topic—much later by simply glancing at an index card.
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Marijan, Robert, and Robert Leskovar. "A library’s information retrieval system (In)effectiveness: case study." Library Hi Tech 33, no. 3 (September 21, 2015): 369–86. http://dx.doi.org/10.1108/lht-07-2015-0071.
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Purpose – The purpose of this paper is to evaluate the effectiveness of the information retrieval component of a daily newspaper publisher’s integrated library system (ILS) in comparison with the open source alternatives and observe the impact of the scale of metadata, generated daily by library administrators, on retrieved result sets. Design/methodology/approach – In Experiment 1, the authors compared the result sets of the information retrieval system (IRS) component of the publisher’s current ILS and the result sets of proposed ones with human-assessed relevance judgment set. In Experiment 2, the authors compared the performance of proposed IRS components with the publisher’s current production IRS, using result sets of current IRS classified as relevant. Both experiments were conducted using standard information retrieval (IR) evaluation methods: precision, recall, precision at k, F-measure, mean average precision and 11-point interpolated average precision. Findings – Results showed that: first, in Experiment 1, the publisher’s current production ILS ranked last of all participating IRSs when compared to a relevance document set classified by the senior library administrator; and second, in Experiment 2, the tested IR components’ request handlers that used only automatically generated metadata performed slightly better than request handlers that used all of the metadata fields. Therefore, regarding the effectiveness of IR, the daily human effort of generating the publisher’s current set of metadata attributes is unjustified. Research limitations/implications – The experiments’ collections contained Slovene language with large number of variations of the forms of nouns, verbs and adjectives. The results could be different if the experiments’ collections contained languages with different grammatical properties. Practical implications – The authors have confirmed, using standard IR methods, that the IR component used in the publisher’s current ILS, could be adequately replaced with an open source component. Based on the research, the publisher could incorporate the suggested open source IR components in practice. In the research, the authors have described the methods that can be used by libraries for evaluating the effectiveness of the IR of their ILSs. Originality/value – The paper provides a framework for the evaluation of an ILS’s IR effectiveness for libraries. Based on the evaluation results, the libraries could replace the IR components if their current information system setup allows it.
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Yu, Yang Xin, and Yi Zhou Zhang. "Personalization Information Retrieval Based on Topic Directory." Advanced Materials Research 712-715 (June 2013): 2659–63. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2659.
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Personalization information retrieval is very useful in information retrieval system, the user profile can be used to represent the favorites or interests of user. This paper introduces how to automatically learn user interests, build user profiles and re-rank search results.A topic directory method is proposed to calculate the semantic similarity, which takes multi-inheritance into consideration, and then optimize the computing process based on the tree structure of inheritance relationship. Experiments are conducted to compare our method with the popular directory based search methods (e.g., Google Directory Search). Experimental results show that the proposed method in this paper can effectively capture personalization and improve the accuracy of personalized search over existing approaches.
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Liu, Sijia, Yanshan Wang, Andrew Wen, Liwei Wang, Na Hong, Feichen Shen, Steven Bedrick, William Hersh, and Hongfang Liu. "Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System Validation." JMIR Medical Informatics 8, no. 10 (October 6, 2020): e17376. http://dx.doi.org/10.2196/17376.
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Background Widespread adoption of electronic health records has enabled the secondary use of electronic health record data for clinical research and health care delivery. Natural language processing techniques have shown promise in their capability to extract the information embedded in unstructured clinical data, and information retrieval techniques provide flexible and scalable solutions that can augment natural language processing systems for retrieving and ranking relevant records. Objective In this paper, we present the implementation of a cohort retrieval system that can execute textual cohort selection queries on both structured data and unstructured text—Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records (CREATE). Methods CREATE is a proof-of-concept system that leverages a combination of structured queries and information retrieval techniques on natural language processing results to improve cohort retrieval performance using the Observational Medical Outcomes Partnership Common Data Model to enhance model portability. The natural language processing component was used to extract common data model concepts from textual queries. We designed a hierarchical index to support the common data model concept search utilizing information retrieval techniques and frameworks. Results Our case study on 5 cohort identification queries, evaluated using the precision at 5 information retrieval metric at both the patient-level and document-level, demonstrates that CREATE achieves a mean precision at 5 of 0.90, which outperforms systems using only structured data or only unstructured text with mean precision at 5 values of 0.54 and 0.74, respectively. Conclusions The implementation and evaluation of Mayo Clinic Biobank data demonstrated that CREATE outperforms cohort retrieval systems that only use one of either structured data or unstructured text in complex textual cohort queries.
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Dhar, Sourish, and Sudipta Roy. "Mathematical document retrieval system based on signature hashing." APTIKOM Journal on Computer Science and Information Technologies 4, no. 1 (January 23, 2020): 45–56. http://dx.doi.org/10.34306/csit.v4i1.87.
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Scientific documents and magazines involve large number of mathematical expressions and formulas alongwith text. The continuous growth of such documents necessitates the requirement of developing specialized tools andtechniques, which could handle and analyse mathematical expressions and formulas. Mathematical expressions andformulae are highly structured and quite different from traditional text. Due to which conventional text retrievalsystem performs poorly in retrieving scientific documents based on mathematical expression formulated as a query.Mathematical information retrieval is concerned with finding information in documents that include mathematics. Toaddress the challenges posed by mathematical formulae as compared to text, this paper aims to construct a mathaware search engine, which can retrieve relevant scientific documents based on a mathematical query. A novelsignature based hashing scheme to index raw mathematical web documents is proposed in this paper, which can alsotake mathematical notational equivalences into account. The proposed system demonstrates better precision andstability of the ranked results when compared with other related state-of-the-art math aware search engines.
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Ma, Jian Zhong, Xin Wu Chen, and Li Juan Zhong. "Contourlet-S Texture Image Retrieval System." Advanced Materials Research 433-440 (January 2012): 3408–12. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3408.
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Contourlet transform is better in direction information representation than wavelet transform which has been studied in retrieval systems and has been shown that it is superior to wavelet ones at retrieval rate. In order to improve the retrieval rate further, an anti-aliasing contourlet-S transform based texture image retrieval system was proposed. In this system, the contourlet transform was constructed by anti-aliasing non-subsampled Laplacian pyramid cascaded by critical sub-sampled directional filter banks, sub-bands energy and standard deviations in contourlet domain are cascaded to form feature vectors, and the similarity metric used here is Canberra distance. Experimental results show that contourlet-S transform based image retrieval system is superior to those of the original contourlet transform, and non-subsampled contourlet system under the same system structure with almost same dimension of feature vectors, retrieval time and memory needed; and contourlet decomposition structure parameters can make significant effects on retrieval rates, especially scale number. To improve the retrieval rate of this system, kurtosis in each sub-band coefficients can be incorporated in features at the cost of some higher dimension of feature vectors.
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Kaps, Andreas, Konstantin Dyshlevoi, Klaus Heumann, Ralf Jost, Ioannis Kontodinas, Martin Wolff, and Jean Hani. "The BioRSTM Integration and Retrieval System: An open system for distributed data integration." Journal of Integrative Bioinformatics 3, no. 2 (December 1, 2006): 274–81. http://dx.doi.org/10.1515/jib-2006-44.
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Summary Modern academic and industrial research in life sciences generates huge amounts of data and information. To extract knowledge from this information space, optimized integration and retrieval software tools are essential. In the last years, a number of academic as well as commercial systems have been developed to solve this problem. However, as scientific projects are distributed at different locations (e.g., subsidiaries of companies, academic partnerships), data exchange and availability must be realized in a way that avoids data replication.In this article, we describe a global solution for integrating distributed information by applying the BioRSTM Integration and Retrieval System and its inter-BioRS communication capability that goes beyond the standard issue of local data integration. Each site integrates and maintains locally generated data using a local copy of the BioRS software. Applying the inter-BioRS communication, all available BioRS instances can communicate with each other realizing a global network of integrated databanks. All databanks integrated in this network can be accessed from any site without any data replication. This open system allows the addition of new information and sites dynamically. However, access privileges for certain databanks can be maintained on a per user and databank level ensuring data security when required.
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Chappell, Sheryl L., and Richard J. Tarrel. "Incident Retrieval from NASA's Aviation Safety Reporting System." Proceedings of the Human Factors Society Annual Meeting 36, no. 14 (October 1992): 1048. http://dx.doi.org/10.1177/154193129203601405.
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The most basic goal of the aviation human factors discipline is to improve flight safety. This goal is instantiated in the optimization of displays and controls to make correct operation efficient and erroneous operation unlikely. Incident data are an important source of information for identifying safety problems and quantifying the safety of the system, including trends in safety, e.g., due to operational changes. Incident data can also provide insights from the participants as to the underlying factors and sequence of events or conditions that are present in safety anomalies. These data can, and should, play an important role in human factors research and the operation of human-machine systems. The Aviation Safety Reporting System is a voluntary incident reporting system with contributions predominantly from pilots and air traffic controllers. The database currently holds over 100,000 incident reports from the last five years. Each report contains information identifying the type of flight or air traffic control facility, the nature of the airspace, the experience level of the reporter, the type of incident, and often a detailed description of the circumstances which contributed to the loss of safety. The nonpunitive nature of the reporting system stimulates reports that are revealing of human error and systemic weaknesses. This depository of information provides a unique source of very high quality incident data.
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Cao, Hong Jun, Pei Zhang, and Zhi Qiang Zhou. "Design and Implementation of Recruitment Information Retrieval System Based on Low-Carbon Online Recruitment." Advanced Materials Research 403-408 (November 2011): 1883–87. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1883.
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In order to improve the search speed and accuracy of recruitment information in online recruitment of "low carbon recruitment”, this paper designed the online recruitment information retrieval system. The recruitment information retrieval system developed by J2EE platform and RIA technology. And it used for the retrieval of recruitment information and the personal circumstances of applicants for companies. Firstly, this paper described the purpose of developing this system and some related retrieval technology. Secondly, it introduced the overall design and detailed design. Finally, it provided applicants with a friendly user interface so that applicants can quickly apply for jobs and thus achieved the purpose of energy conservation and emission reduction.
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Lam, S. S., and Samuel P. M. Choi. "Multidimensional Ontology-Based Information Retrieval for Academic Counseling." International Journal of Systems and Service-Oriented Engineering 4, no. 3 (July 2014): 66–82. http://dx.doi.org/10.4018/ijssoe.2014070104.
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Conventional information retrieval can only locate documents containing user specified keywords. Integrating domain ontology with information retrieval extends the keyword-based search to semantic search and thus potentially improves the precision and recall of the document retrieval. In this paper, a set of new multidimensional ontology-based information retrieval algorithms is proposed for searching both specific and related terms. In particular, the relevant data properties of an instance, the relevant concepts, the relevant related concepts, and the related instances of a given user query can be identified from the domain ontology via the multidimensional search. Using the proposed algorithms, an intelligent counselling system which provides 24x7 online academic counselling services is developed. Through an interactive user-interface and domain ontology, the system facilitates students to find desired information by reviewing and refining their query. The article also outlines how to enable ontology-based searching for a conventional website.
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Dhar, Sourish, and Sudipta Roy. "Mathematical Document Retrieval System based on Signature Hashing." APTIKOM Journal on Computer Science and Information Technologies 4, no. 1 (March 1, 2019): 45–56. http://dx.doi.org/10.11591/aptikom.j.csit.135.
Full textAbstract:
Scientific documents and magazines involve large number of mathematical expressions and formulas along with text. The continuous growth of such documents necessitates the requirement of developing specialized tools and techniques, which could handle and analyse mathematical expressions and formulas. Mathematical expressions and formulae are highly structured and quite different from traditional text. Due to which conventional text retrieval system performs poorly in retrieving scientific documents based on mathematical expression formulated as a query. Mathematical information retrieval is concerned with finding information in documents that include mathematics. To address the challenges posed by mathematical formulae as compared to text, this paper aims to construct a math aware search engine, which can retrieve relevant scientific documents based on a mathematical query. A novel signature based hashing scheme to index raw mathematical web documents is proposed in this paper, which can also take mathematical notational equivalences into account. The proposed system demonstrates better precision and stability of the ranked results when compared with other related state-of-the-art math aware search engines.
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Chen, Shang-Liang, You-Chen Lin, Yun-Yao Chen, and Sin-Ru Wang. "PIRAA: DEVELOPMENT OF AN INJECTION MOLDING MACHINE MANUFACTURING MONITORING SYSTEM BASED ON PRODUCTION INFORMATION RETRIEVAL AGENT ARCHITECTURE." Transactions of the Canadian Society for Mechanical Engineering 39, no. 3 (September 2015): 489–99. http://dx.doi.org/10.1139/tcsme-2015-0037.
Full textAbstract:
Production information retrieval is an important issue for manufacturing industries. Effective data transmission and retrieval mechanism with data protection is an urgent research topic. Therefore, a socket information retrieval mechanism and agent services for information retrieval on the basis of injection molding machines is proposed in this research and is addressed as Production Information Retrieval Agent Architecture (PIRAA). The proposed agent adapted a customized packet format for client-server connection communication and sent process parameters back to a production process database. Using the experimental results, a cloud-based platform was implemented based on injection molding machines. The results show the PIRAA framework can be used for developing cloud-based platforms in a stabilized and remarkable way.