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Relevant bibliographies by topics / Information gathering

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Academic literature on the topic 'Information gathering'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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Journal articles on the topic "Information gathering"

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Bhuvaneswari, K. "IoT Based Industrial Information Gathering." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 856–62. http://dx.doi.org/10.31142/ijtsrd15935.

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Gravell, Emyr. "Information gathering." British Journal of General Practice 61, no. 591 (October 2011): 637. http://dx.doi.org/10.3399/bjgp11x601460.

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Clarke, Jenni. "Gathering information." Practical Pre-School 2014, no. 160 (May 2014): 18–19. http://dx.doi.org/10.12968/prps.2014.5.160.18.

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Chaitow, Leon. "Gathering information." Journal of Bodywork and Movement Therapies 6, no. 1 (January 2002): 1. http://dx.doi.org/10.1054/jbmt.2001.0270.

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Jones, William E. "Gathering information." Journal of Equine Veterinary Science 24, no. 5 (May 2004): 178. http://dx.doi.org/10.1016/j.jevs.2004.04.001.

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Monsen, Elaine R. "Gathering Reliable Information." Journal of the American Dietetic Association 100, no. 7 (July 2000): 752. http://dx.doi.org/10.1016/s0002-8223(00)00215-7.

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Iossa, Elisabetta, and David Martimort. "Pessimistic information gathering." Games and Economic Behavior 91 (May 2015): 75–96. http://dx.doi.org/10.1016/j.geb.2015.03.014.

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Florczak, Kristine L. "Gathering Information on Spirituality." Nursing Science Quarterly 23, no. 3 (June 17, 2010): 201–5. http://dx.doi.org/10.1177/0894318410371836.

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Bar-Isaac, Heski, Guillermo Caruana, and Vicente Cuñat. "Information Gathering and Marketing." Journal of Economics & Management Strategy 19, no. 2 (June 2010): 375–401. http://dx.doi.org/10.1111/j.1530-9134.2010.00255.x.

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Grace, M. "Gathering information 1: basics." British Dental Journal 190, no. 12 (June 2001): 641–43. http://dx.doi.org/10.1038/sj.bdj.4801063.

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Dissertations / Theses on the topic "Information gathering"

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Ruiz, April M. "Social information gathering in lemurs /." St Andrews, 2009. http://hdl.handle.net/10023/908.

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Ruiz, April M. "Social information gathering in lemurs." Thesis, University of St Andrews, 2010. http://hdl.handle.net/10023/908.

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By investigating the cognitive capacities of non-human primates, we can begin to understand the cognitive capacities of the evolutionary ancestors we share with these species. While there is a great deal of research exploring the socio-cognitive abilities of simian primates, prosimians have not been sufficiently studied. Without data from these species, our knowledge about the evolution of the primate mind is limited to the common ancestor shared between simian primates only, precluding understanding of the phylogenetic origins of certain phenomena. I explored the socio-cognitive capacities of lemurs, a type of prosimian primate. I studied several areas of social cognition related to social referencing, defined as the ability to use and seek out social information when appraising objects or events. As social referencing is a popular subject in both human developmental and non-human primate literature, I aimed to determine how prosimians’ capacities compare. My research was conducted with captive lemurs of three species: Eulemur fulvus fulvus, Eulemur macaco macaco, and Eulemur fulvus rufus. I found that lemurs use social cues regarding food palatability to modify their own feeding behaviour and that they visually attend to conspecifics differently when presented with novel, as compared to familiar, foods. Lemurs also visually referred to a human experimenter’s face when presented with an anomalous interaction and went on to engage in gaze alternation. Lemurs failed to use information about the experimenter’s attentional state, however, when modifying their use of a trained gesture. Finally, I found that lemurs are able to visually co-orient with conspecifics, correctly prioritising information from the head over that from the body, and that they go on to use conspecific gaze to locate hidden resources. These results show that lemurs are more cognitively advanced than previously thought and the origins of some social referencing skills may be phylogenetically older than previously hypothesised.

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Shakshuki, Elhadi M. "Cooperative agents for information gathering." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ60566.pdf.

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Russell, Frank Santi. "Information gathering in classical Greece /." Ann Arbor [Mich.] : University of Michigan press, 1999. http://catalogue.bnf.fr/ark:/12148/cb38802665k.

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Jakupovic, Edin. "Alternative Information Gathering on Mobile Devices." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210712.

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Searching and gathering information about specific topics is a time wasting, but vital practise. With the continuous growth and surpassing of desktop devices, the mobile market is becoming a more important area to consider. Due to the portability of mobile devices, certain tasks are more difficult to perform, compared to on a desktop device. Searching for information online is generally slower on mobile devices than on desktop devices, even though the majority of searches are performed on mobile devices. The largest challenges with searching for information online using mobile devices, are the smaller screen sizes, and the time spent jumping between sources and search results in a browser. These challenges could be solved by using an application that focuses on the relevancy of search results, summarizes the content of them, and presents them on a single screen. The aim of this study was to find an alternative data gathering method with a faster and simpler searching experience. This data gathering method was able to quickly find and gather data requested through a search term by a user. The data was then analyzed and presented to the user in a summarized form, to eliminate the need to visit the source of the content. A survey was performed by having a smaller target group of users answer a questionnaire. The results showed that the method was quick, results were often relevant, and the summaries reduced the need to visit the source page. But while the method had potential for future development, it is hindered by ethical issues related to the use of web scrapers.
Sökning och insamling av information om specifika ämnen är en tidskrävande, men nödvändig praxis. Med den kontinuerliga tillväxten som gått förbi stationära enheters andel, blir mobilmarknaden ett viktigt område att överväga. Med tanke på rörligheten av bärbara enheter, så blir vissa uppgifter svårare att utföra, jämfört med på stationära enheter. Att söka efter information på Internet är generellt långsammare på mobila enheter än på stationära. De största utmaningarna med att söka efter information på Internet med mobila enheter, är de mindre skärmstorlekarna, och tiden spenderad på att ta sig mellan källor och sökresultat i en webbläsare. Dessa utmaningar kan lösas genom att använda en applikation som fokuserar på relevanta sökresultat och sammanfattar innehållet av dem, samt presenterar dem på en enda vy. Syftet med denna studie är att hitta en alternativ datainsamlingsmetod för attskapa en snabbare och enklare sökupplevelse. Denna datainsamlingsmetod kommer snabbt att kunna hitta och samla in data som begärts via en sökterm av en användare. Därefter analyseras och presenteras data för användaren i en sammanfattad form för att eliminera behovet av att besöka innehållets källa. En undersökning utfördes genom att en mindre målgrupp av användare svarade på ett formulär av frågor. Resultaten visade att metoden var snabb, resultaten var ofta relevanta och sammanfattningarna minskade behovet av att besöka källsidan. Men medan metoden hade potential för framtida utveckling, hindras det av de etiska problemen som associeras med användningen av web scrapers.

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Taylor, Todd M. "Internet influence on sports information gathering." Virtual Press, 2006. http://liblink.bsu.edu/uhtbin/catkey/1347737.

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The Internet is changing the way people obtain their information, growing at a faster rate than any previous media outlet. Experts fully expect this growth to continue. The power of the Internet as a new media source has led to research concerning its effect on traditional media (newspaper, television, radio, and magazines) for certain tasks. However, research has yet to focus solely on sports information gathering, which has been identified as the number one reason men between eighteen and thirty-four years of age access the Internet. The purpose of this study was to examine where students get their sports information, to determine whether gathering sports information through the Internet leads to a decrease in gathering sports information through traditional media.
Department of Journalism

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Stranders, Ruben. "Decentralised coordination of information gathering agents." Thesis, University of Southampton, 2010. https://eprints.soton.ac.uk/172455/.

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Unmanned sensors are rapidly becoming the de facto means of achieving situational awareness---the ability to make sense of, and predict what is happening in an environment---in disaster management, military reconnaissance, space exploration, and climate research. In these domains, and many others besides, their use reduces the need for exposing humans to hostile, impassable or polluted environments. Whilst these sensors are currently often pre-programmed or remotely controlled by human operators, there is a clear trend toward making these sensors fully autonomous, thus enabling them to make decisions without human intervention. Full autonomy has two clear benefits over pre-programming and human remote control. First, in contrast to sensors with pre-programmed motion paths, autonomous sensors are better able to adapt to their environment, and react to a priori unknown external events or hardware failure. Second, autonomous sensors can operate in large teams that would otherwise be too complex to control by human operators. The key benefit of this is that a team of cheap, small sensors can achieve through cooperation the same results as individual large, expensive sensors---with more flexibility and robustness. In light of the importance of autonomy and cooperation, we adopt an agent-based perspective on the operation of the sensors. Within this view, each sensor becomes an information gathering agent. As a team, these agents can then direct their collective activity towards collecting information from their environment with the aim of providing accurate and up-to-date situational awareness. Against this background, the central problem we address in this thesis is that of achieving accurate situational awareness through the coordination of multiple information gathering agents. To achieve general and principled solutions to this problem, we formulate a generic problem definition, which captures the essential properties of dynamic environments. Specific instantiations of this generic problem span a broad spectrum of concrete application domains, of which we study three canonical examples: monitoring environmental phenomena, wide area surveillance, and search and patrol. The main contributions of this thesis are decentralised coordination algorithms that solve this general problem with additional constraints and requirements, and can be grouped into two categories. The first category pertains to decentralised coordination of fixed information gathering agents. For these agents, we study the application of decentralised coordination during two distinct phases of the agents' life cycle: deployment and operation. For the former, we develop an efficient algorithm for maximising the quality of situational awareness, while simultaneously constructing a reliable communication network between the agents. Specifically, we present a novel approach to the NP-hard problem of frequency allocation, which deactivates certain agents such that the problem can be provably solved in polynomial time. For the latter, we address the challenge of coordinating these agents under the additional assumption that their control parameters are continuous. In so doing, we develop two extensions to the max-sum message passing algorithm for decentralised welfare maximisation, which constitute the first two algorithms for distributed constraint optimisation problems (DCOPs) with continuous variables---CPLF-MS (for linear utility functions) and HCMS (for non-linear utility functions). The second category relates to decentralised coordination of mobile information gathering agents whose motion is constrained by their environment. For these agents, we develop algorithms with a receding planning horizon, and a non-myopic planning horizon. The former is based on the max-sum algorithm, thus ensuring an efficient and scalable solution, and constitutes the first online agent-based algorithm for the domains of pursuit-evasion, patrolling and monitoring environmental phenomena. The second uses sequential decision making techniques for the offline computation of patrols---infinitely long paths designed to continuously monitor a dynamic environment---which are subsequently improved on at runtime through decentralised coordination. For both topics, the algorithms are designed to satisfy our design requirements of quality of situational awareness, adaptiveness (the ability to respond to a priori unknown events), robustness (the ability to degrade gracefully), autonomy (the ability of agents to make decisions without the intervention of a centralised controller), modularity (the ability to support heterogeneous agents) and performance guarantees (the ability to give a lower bound on the quality of the achieved situational awareness). When taken together, the contributions presented in this thesis represent an advance in the state of the art of decentralised coordination of information gathering agents, and a step towards achieving autonomous control of unmanned sensors.

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Kassir, Abdallah. "Communication Efficiency in Information Gathering through Dynamic Information Flow." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/12113.

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This thesis addresses the problem of how to improve the performance of multi-robot information gathering tasks by actively controlling the rate of communication between robots. Examples of such tasks include cooperative tracking and cooperative environmental monitoring. Communication is essential in such systems for both decentralised data fusion and decision making, but wireless networks impose capacity constraints that are frequently overlooked. While existing research has focussed on improving available communication throughput, the aim in this thesis is to develop algorithms that make more efficient use of the available communication capacity. Since information may be shared at various levels of abstraction, another challenge is the decision of where information should be processed based on limits of the computational resources available. Therefore, the flow of information needs to be controlled based on the trade-off between communication limits, computation limits and information value. In this thesis, we approach the trade-off by introducing the dynamic information flow (DIF) problem. We suggest variants of DIF that either consider data fusion communication independently or both data fusion and decision making communication simultaneously. For the data fusion case, we propose efficient decentralised solutions that dynamically adjust the flow of information. For the decision making case, we present an algorithm for communication efficiency based on local LQ approximations of information gathering problems. The algorithm is then integrated with our solution for the data fusion case to produce a complete communication efficiency solution for information gathering. We analyse our suggested algorithms and present important performance guarantees. The algorithms are validated in a custom-designed decentralised simulation framework and through field-robotic experimental demonstrations.

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Arnott, G. "Information gathering and decisions during agonistic encounters." Thesis, Queen's University Belfast, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.517073.

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Bush, Lawrence A. M. "Decision uncertainty minimization and autonomous information gathering." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85758.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 272-283).
Over the past several decades, technologies for remote sensing and exploration have become increasingly powerful but continue to face limitations in the areas of information gathering and analysis. These limitations affect technologies that use autonomous agents, which are devices that can make routine decisions independent of operator instructions. Bandwidth and other communications limitation require that autonomous differentiate between relevant and irrelevant information in a computationally efficient manner. This thesis presents a novel approach to this problem by framing it as an adaptive sensing problem. Adaptive sensing allows agents to modify their information collection strategies in response to the information gathered in real time. We developed and tested optimization algorithms that apply information guides to Monte Carlo planners. Information guides provide a mechanism by which the algorithms may blend online (realtime) and offline (previously simulated) planning in order to incorporate uncertainty into the decisionmaking process. This greatly reduces computational operations as well as decisional and communications overhead. We begin by introducing a 3-level hierarchy that visualizes adaptive sensing at synoptic (global), mesocale (intermediate) and microscale (close-up) levels (a spatial hierarchy). We then introduce new algorithms for decision uncertainty minimization (DUM) and representational uncertainty minimization (RUM). Finally, we demonstrate the utility of this approach to real-world sensing problems, including bathymetric mapping and disaster relief. We also examine its potential in space exploration tasks by describing its use in a hypothetical aerial exploration of Mars. Our ultimate goal is to facilitate future large-scale missions to extraterrestrial objects for the purposes of scientific advancement and human exploration.
by Lawrence A. M. Bush.
Ph. D.

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Books on the topic "Information gathering"

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Göseke, Christian. Information Gathering and Dissemination. Wiesbaden: Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-663-08564-5.

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Gathering and sharing digital information. New York: Rosen Publishing's Rosen Central, 2015.

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E, Ugwuegbu Denis C., and Onwumere S. O, eds. Social research and information gathering. Lagos: Federal Govt. of Nigeria, 1987.

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Gebbie, Richard. Gathering and reporting domain information. Oxford: Oxford Brookes University, 2004.

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Information gathering in classical Greece. Ann Arbor: University of Michigan Press, 1999.

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Gebbie, Richard. Gathering and reporting of domain information. Oxford: Oxford Brookes University, 2004.

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Alpern, Steve. Inventories as an information-gathering device. London: International Centre for Economics and Related Disciplines, 1987.

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United States Sentencing Commission. Money Laundering Working Group. Report on information gathering and initial findings. Washington, D.C. (1331 Pennsylvania Ave., NW, Suite 1400, Washington 20004): U.S. Sentencing Commission, 1992.

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Wilson, W. L. Gathering and evaluating information from secondary sources. Scotland: University of Edinburgh, 1999.

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Poole, Hazel. Spies & detectives: [gathering information, searching for clues]. [Irvine, CA]: Saddleback Educational Pub., 2008.

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Book chapters on the topic "Information gathering"

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Hughes, Vera. "Gathering Information." In People Skills, 12–25. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-12527-2_2.

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Sinha, Sanjib. "Information Gathering." In Beginning Ethical Hacking with Kali Linux, 189–220. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3891-2_8.

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Foster, Elvis C. "Information Gathering." In Software Engineering, 69–85. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0847-2_5.

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Rahalkar, Sagar Ajay. "Information Gathering." In Certified Ethical Hacker (CEH) Foundation Guide, 109–18. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2325-3_8.

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Stufflebeam, Daniel L., Charles H. McCormick, Robert O. Brinkerhoff, and Cheryl O. Nelson. "Information Gathering." In Conducting Educational Needs Assessments, 83–109. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-011-7807-5_3.

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Ward, V. Charles. "Information gathering." In Housing Regeneration, 15–22. Abingdon, Oxon [UK] ; New York, NY : Routledge, [2018]: Routledge, 2018. http://dx.doi.org/10.4324/9781351249942-3.

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Tompkins, Michael A., Daniela J. Owen, Nicole H. Shiloff, and Litsa R. Tanner. "Gathering information." In Cognitive behavior therapy for OCD in youth: A step-by-step guide., 51–72. Washington: American Psychological Association, 2020. http://dx.doi.org/10.1037/0000167-004.

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Foster, Elvis C. "Information Gathering." In Software Engineering, 97–116. 2nd ed. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9780367746025-9.

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Lee, Evelyn. "Gathering Information." In Careers in Healthcare and Beyond, 1–26. New York: Productivity Press, 2021. http://dx.doi.org/10.1201/b22077-1.

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Ronczkowski, Michael R. "Gathering Information." In Terrorism and Organized Hate Crime, 131–48. Fourth edition. | Boca Raton : CRC Press, [2018]: CRC Press, 2017. http://dx.doi.org/10.4324/9781315203133-6.

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Conference papers on the topic "Information gathering"

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Kothapalli, Kishore, and Christian Scheideler. "Information gathering in adversarial systems." In the fifteenth annual ACM symposium. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/777412.777471.

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Birsan, Svetlana, and Lucia Cepraga. "The gathering – premise of effective institutional communication." In 26th International Scientific Conference “Competitiveness and Innovation in the Knowledge Economy". Academy of Economic Studies of Moldova, 2023. http://dx.doi.org/10.53486/cike2022.22.

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Currently, the fluidity and quality of information are among the favoring factors of the organization's competitiveness. In this sense, a working group becomes innovative and creative when it is able to effectively capture the information presented in gatherings. The purpose of this study is to contribute to the achievement of correct, efficient and effective information both vertically and horizontally, in order to create, under optimal conditions, internal and external requests in accordance with the established organizational objectives. For this, in the process of managerial communication, a number of fundamental communications needs of work groups, but also of each individual employee, must be satisfied. One of the priority, dominant forms of internal organizational communication is "gatherings." Based on the information received during the gatherings, the managerial staff / decision-making group can perceive whether it is moving towards the set objective, or it is deviating. At the same time, in a gathering, information is vital for the performance of the group for the quality of the decisions made. Therefore, the manager who exercises the role of gathering moderator a must have initiatives to increase the fluidity and quality of information by disseminating and facilitating the circulation of information. At the same time, the promptness of information circulation was and continues to be a determining element of decision-making efficiency and effectiveness. This is influenced by the pace of changes, especially in the field of technologies that allow/ensure an informational transit. In conclusion, we affirm that the success of a gathering is conditioned by the ability of the participants to communicate pertinently and with a positive decision-making impact.

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Wuryandari, Aciek Ida, and Ary Setijadi Prihatmanto. "Gathering information realtime and anywhere (GIRA)." In 2011 International Conference on Electrical Engineering and Informatics (ICEEI). IEEE, 2011. http://dx.doi.org/10.1109/iceei.2011.6021699.

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Alhenshiri, Anwar, Carolyn Watters, and Michael Shepherd. "Effective information gathering on the web." In the 2012 iConference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2132176.2132230.

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Choudhury, Sanjiban, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, and Debadeepta Dey. "Adaptive Information Gathering via Imitation Learning." In Robotics: Science and Systems 2017. Robotics: Science and Systems Foundation, 2017. http://dx.doi.org/10.15607/rss.2017.xiii.041.

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Nemoto, Taishi, and Takayuki Fujimoto. "SNS as Means of Information Gathering." In 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2018. http://dx.doi.org/10.1109/iiai-aai.2018.00184.

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Hager, Greg. "A Comparison of Information Gathering Approaches." In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, edited by Paul S. Schenker. SPIE, 1990. http://dx.doi.org/10.1117/12.969977.

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Kassir, Abdallah, Robert Fitch, and Salah Sukkarieh. "Decentralised information gathering with communication costs." In 2012 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2012. http://dx.doi.org/10.1109/icra.2012.6224806.

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Papachristoudis, Georgios, and John W. Fisher. "Theoretical guarantees on penalized information gathering." In 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319688.

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Qu, Yan. "A sensemaking-supporting information gathering system." In CHI '03 extended abstracts. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/765891.766063.

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Reports on the topic "Information gathering"

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Kirschenbaum, S. S. Information Gathering for Adaptable Decision-Making. Fort Belvoir, VA: Defense Technical Information Center, February 1989. http://dx.doi.org/10.21236/ada206488.

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Knoblock, Craig A. InfoFuse: Interleaved Information Gathering and Reasoning for Information Fusion. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada528556.

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Kanani, Pallika, and Andrew McCallum. Resource-Bounded Information Gathering for Correlation Clustering. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada464769.

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Kuter, Ugur, Evren Sirin, Dana Nau, Bijan Parsia, and James Hendler. Information Gathering During Planning for Web Service Composition. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada448050.

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Hollister, R. Information Gathering Document 0321-1437-30-R-OG. Office of Scientific and Technical Information (OSTI), July 2009. http://dx.doi.org/10.2172/966539.

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Badre, Albert N. A Workshop on the Gathering of Information for Problem Formulation. Fort Belvoir, VA: Defense Technical Information Center, June 1991. http://dx.doi.org/10.21236/ada238713.

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BeLue, A. LLNL Data Disk Evaluation Report and Information Gathering Document #449.R1.3. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1226962.

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Moulder, Roger. Information Gathering for the Initial Tools Study for the Integrated Requirements Support System (IRSS). Fort Belvoir, VA: Defense Technical Information Center, April 1998. http://dx.doi.org/10.21236/ada359591.

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Zhang, Junshan. Networked Information Gathering in Stochastic Sensor Networks: Compressive Sensing, Adaptive Network Coding and Robustness. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada590144.

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Siegel, Dina. The Challenges of Using Real-Time Detection Systems: From Data Gathering to Actionable Information. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1779638.

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