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Journal articles on the topic 'Material Information'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Yoshitake, Michiko. "Materials Curation: Material Design by Multi-Disciplinary Use of Material Information." Journal of the Japan Institute of Metals 80, no. 10 (2016): 603–11. http://dx.doi.org/10.2320/jinstmet.j2016035.

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2

Yoshihito, Amemiya. "Information Processing Using Intelligent Materials — Information-Processing Architectures for Material Processors." Journal of Intelligent Material Systems and Structures 5, no. 3 (May 1994): 418–23. http://dx.doi.org/10.1177/1045389x9400500315.

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3

Jovanić, B. R., and M. Ž. Sarvan. "Biological Material and Information." Materials Science Forum 518 (July 2006): 497–500. http://dx.doi.org/10.4028/www.scientific.net/msf.518.497.

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Information sent by biological materials (plant leaves) into environment is determined by the morphology and by the physiological activity of an assembly. This information can be related to the luminescence spectra emitted by the leaf, being specific for the corresponding photosystem pigments. Such an analysis can provide an increase in our understanding of particular changes in this biological material.

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4

BITITCI, UMIT S., and ALLAN S. CARRIE. "INFORMATION MATERIAL FLOW MAPPING." Logistics Information Management 3, no. 1 (January 1990): 31–36. http://dx.doi.org/10.1108/eb007494.

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5

Swanson, G. A. "Material flow, material information, and the analytics of integrative enterprise information systems." Enterprise Information Systems 2, no. 1 (February 2008): 21–31. http://dx.doi.org/10.1080/17517570701846570.

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6

Rakhimova, Ulzana. "Delimitation Of Computer Information From Other Documents And Material Evidence." American Journal of Social Science and Education Innovations 02, no. 08 (August 29, 2020): 494–500. http://dx.doi.org/10.37547/tajssei/volume02issue08-80.

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7

Menges, Achim. "Material Resourcefulness: Activating Material Information in Computational Design." Architectural Design 82, no. 2 (March 2012): 34–43. http://dx.doi.org/10.1002/ad.1377.

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8

Stanley, Janet L. "African Material Culture Information Network." History in Africa 21 (1994): 371–86. http://dx.doi.org/10.2307/3171895.

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The African material culture network—if indeed one can posit a network—is multidimensional, consisting of scholars, objects, and information. The linkage between scholars and objects of material culture that are the focus of their study is information, in particular, the ways in which that information is collected, codified, and communicated. Documentation is the process that generates and orders the information about objects, relates objects one to another, and channels appropriate information into scholarly inquiry.The primary network is one of people: the scholars who are engaged in the study of the object—the mask, the ritual vessel, the woven textile, the dwelling. Information about the object; its use and function; its esthetic and formal qualities; the technique of its manufacture; and its social, economic, and historical context comes from many sources: from examination of the object itself; from contextual, collection, and associated data, including oral data; and from the published literature, unpublished written records, and visual images. These three kinds of data, in turn, constitute secondary networks: information which is generated, processed, and utilized by scholars or other specialists (curators, librarians, archivists, bibliographers). These secondary networks correlate roughly to the institutional settings of museums, archives, and libraries. Information does not exist in a vacuum; it serves a purpose, even if one not always apparent. Thus, the process of creating and manipulating information about African material culture objects, or simply documentation, has as its goal to match in perfect overlay the information about objects with scholarly inquiry.

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9

Шаповалов, Віктор, Артем Атамась, Жанна Білик, Євгеній Шаповалов, and Олександр Учитель. "Structuring Augmented Reality Information on the stemua.science." Педагогіка вищої та середньої школи 51 (December 13, 2018): 102–14. http://dx.doi.org/10.31812/pedag.v51i0.3660.

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Shapovalov V.V., Atamas A.I., Bilyk Zh.I., Shapovalov YE.V. and Uchytel A.D. Structuring Augmented Reality Information on the stemua.science. It is demonstrated that one of the conditions for successful scientific and pedagogical work is exchanging of methodical materials, including with using of augmented reality. We propose to classify approaches of placing methodical materials on closed, open and open-moderated types. One of the important benefits of a closed type is the high quality of the methodical material, but it’s limited by amount of material and the lack of exchange opportunities that are problems, and there are no open-moderated resources in the Ukrainian language. The aim of this article is to analyze approaches of systematization of methodical material with using of augmented reality and recommend using of STEMUA for systematization of them. It is shown that STEMUA allows teachers to develop methodical material and place it on this platform. The platform automatically organizes methodical material in the database. Consequently, the platform is satisfying the methodical needs of Ukrainian teachers for material with using of complementary reality in the teaching. It is recommended for teachers and methodists to provide development and methodical materials with using of augmented reality and add them to the platform database.

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10

Shourie, Angaluri Arun, and Abhishek Nandan. "Hazardous Material Information Sytem-A Review." Research Journal of Engineering and Technology 6, no. 4 (2015): 477. http://dx.doi.org/10.5958/2321-581x.2015.00073.2.

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11

KOISHI, Masumi. "Social Engineering and Colour Material Information." Journal of the Japan Society of Colour Material 61, no. 1 (1988): 12–15. http://dx.doi.org/10.4011/shikizai1937.61.12.

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12

Brown, Stephen. "Material Issues: Dealing with Nonpublic Information." CFA Institute Magazine 15, no. 5 (September 2004): 60–61. http://dx.doi.org/10.2469/cfm.v15.n5.2894.

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13

Nonaka, Tetsushi. "The Material Basis of Perceptual Information." Kagaku tetsugaku 52, no. 2 (March 30, 2020): 21–40. http://dx.doi.org/10.4216/jpssj.52.2_21.

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14

Underwood, Jim, and Edin Tabak. "Making Information Systems Material through Blackboxing." International Journal of Actor-Network Theory and Technological Innovation 3, no. 1 (January 2011): 16–26. http://dx.doi.org/10.4018/jantti.2011010102.

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In this paper, a case study of the evolution of an organisational intranet is used to compare the concepts of “materiality” with actor-network theory’s black-boxing. The authors argue that information systems need to become material through “due process”. Through this paper, questions arise as to what types of material allies are useful in this process, and whether these allies can co-evolve (or “co-materialise”) with the system. In this case there seemed to be existing technical actors, but the authors question whether this is always the case.

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15

de Witte, Joke I., and Henk Ten Have. "Ownership of genetic material and information." Social Science & Medicine 45, no. 1 (July 1997): 51–60. http://dx.doi.org/10.1016/s0277-9536(96)00309-7.

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16

SHIMIDZU, TAKEO. "Organic Material for Information Transduction Device." Sen'i Gakkaishi 44, no. 8 (1988): P297—P301. http://dx.doi.org/10.2115/fiber.44.8_p297.

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17

Lapp, Erdmute. "Information as raw material for innovation." Library Management 18, no. 8 (December 1997): 366–68. http://dx.doi.org/10.1108/01435129710183690.

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18

Irani, Afshad J., and Le (Emily) Xu. "Do stealth restatements convey material information?" Accounting Research Journal 24, no. 1 (July 19, 2011): 5–22. http://dx.doi.org/10.1108/10309611111148751.

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19

Dujak, Davor, Dario Šebalj, and Karolina Kolinska. "CONCEPTUAL FRAMEWORK FOR MATERIAL AND INFORMATION FLOW OPTIMISATION IN NATURAL GAS SUPPLY CHAIN." DIEM: Dubrovnik International Economic Meeting 6, no. 1 (September 2021): 63–74. http://dx.doi.org/10.17818/diem/2021/1.7.

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Natural gas is third most used fossil fuel and energy resource in the world, with significant increase in its consumption over last 20 years. As a consequence, research in optimisation of its supply chain processes are becoming increasingly significant. This paper aims to develop conceptual framework for material and information flow optimisation in natural gas supply chain and suggests its future use. Based on previous researches on mapping natural gas supply chain, bullwhip effect in natural gas supply chain and simulation models in natural gas supply chain, paper proposes new conceptual framework for material and information flow optimisation in natural gas supply chain. Results of implementation of this framework in natural gas supply chain of Republic of Croatia are presented with all suggestions for improvement explained. Keywords: natural gas supply chain, simulation model, bullwhip effect

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20

Hwang, Wu-Yuin, Rong-Luen Shiu, Shing-Ling Wu, and Chia-Chin Li. "An Exploration of Learning Ability Transition and Material Information." Journal of Educational Computing Research 26, no. 3 (April 2002): 301–25. http://dx.doi.org/10.2190/1w2t-xby9-9flr-hfpk.

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The asynchronous learning system is one of the great tools that have broken through the limits of time and space to make learning available to all people in the future. In order to provide adaptive learning material and environment, it is important for an asynchronous learning system to take the degree of difficulty in the teaching materials and learner's characteristics into account. Thus, this article will investigate the related characteristics of asynchronous material and propose a material characteristics model. This model investigates the relationship among the difficulty degree of material, students' interests, and their abilities. Furthermore, we will investigate the material information to comprehend thoroughly the suitability of the teaching materials to the learner. The material information is based on promoting learning ability. From the above results, an asynchronous learning system could provide adaptive material that is suitable for students with different learning abilities. Students could be counseled on reaching the anticipated learning goal using our model. The ability after learning could be calculated from the model to help the testing system to choose test items quickly and adaptively and make the asynchronous learning system more effective and complete.

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21

Furduescu, Bogdan-Alexandru. "Management Information Systems." HOLISTICA – Journal of Business and Public Administration 8, no. 3 (December 1, 2017): 61–70. http://dx.doi.org/10.1515/hjbpa-2017-0024.

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Abstract Technology is the science that studies processes, methods and operations run or applied onto raw materials, matters or data, in order to obtain a certain product. Information is the material signal able to launch a material reaction of a dynamic auto-tuning system for which the system is conditioned and finalized. Information Technology is the technology needed for handling (procuring, processing, storing converting and transmitting) information, in particular, with the use of computers [Longley, D. & Shain, M. (1985), p. 164]. The importance of IT in the economic growth and development is widely known, taking into account the impact that technology can have on the success and survival, or the failure of the economic activity of enterprises/organizations, IT offering various management information systems (MIS), executive and feedback segments, which all have important and beneficial implications in management and control.

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22

Amri, Aflah Ulil, and Yusuf Latief. "A Work Breakdown Structure Based Material Requirement Planning Information System Using Building Information Modeling for Flat Construction Project." Journal of Computational and Theoretical Nanoscience 17, no. 2 (February 1, 2020): 1117–26. http://dx.doi.org/10.1166/jctn.2020.8776.

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Indonesian government program to provide millions homes for community has carried out hundreds flat construction project. At the same time, deviation between the budget and actual cost due to unwell planned construction material make it a disrupting focus among contractor issue. Construction material is an important element in construction projects since it cost up to 50%–60% of the total project cost. This study intend to overcome these issue by implementing well planned construction material requirement information system based on Work Breakdown Structure using Building Information Modeling. The benefit of Building Information Modeling there is a lot of information which could be stored at Building Information Modeling in early planning stage so that construction conflict could be minimize. This research is using qualitative approach to achieve information system of material needed based on Work Breakdown Structure using Building Information Modeling. First step is validating Work Breakdown Structure to define construction materials needed in flat construction project using expert assessment. Second step is developing construction material information system. Validated construction materials are used to develop information system using Building Information Modeling. A case study in flat construction project is conducted to ensure information system is working well. The result of the development of construction material information system is assessed by experts. The Delphi method is used to validate the expert assessment. Contribution from this research include utilization of Building Information Modeling to develop construction material information system is proposed and to enhance the effectiveness of the construction material requirement planning in flat construction project.

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23

Khandekar, Anant V., and Shankar Chakraborty. "Selection of Material Handling Equipment Using Fuzzy Axiomatic Design Principles." Informatica 26, no. 2 (January 1, 2015): 259–82. http://dx.doi.org/10.15388/informatica.2015.48.

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24

Liu, Heng, Zhao Yang Zeng, and Chao Wu. "Describing Method for Information Protecting Composite Materials." Advanced Materials Research 271-273 (July 2011): 1070–73. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.1070.

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For the purpose of discussing the potentiality of composite materials in information protecting, the microwave transmitting properties of epoxy-based carbonyl iron composite material was systematically analyzed in this report. The effective medium approximation (EMA) model was used to calculate the electro-magnetic parameters of the material, while the transmission line model was used to calculate the absorption ability of the composite material. Good agreement between calculation and experiments was obtained, which means the rationality of the describing method in this paper.

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25

Shuneyko, Aleksandr, and Olga Chibisova. "Transmitting Information without an Individual Material Carrier." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 2. Jazykoznanije 16, no. 3 (November 15, 2017): 248–56. http://dx.doi.org/10.15688/jvolsu2.2017.3.26.

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26

Kim, Kee Whan, Chang Ho Lee, and Boseung Choi. "Material information of public data in Korea." Journal of the Korean Data And Information Science Society 30, no. 5 (September 30, 2019): 1051–62. http://dx.doi.org/10.7465/jkdi.2019.30.5.1051.

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27

Oesterhelt, Dieter, Christoph Bräuchle, and Norbert Hampp. "Bacteriorhodopsin: a biological material for information processing." Quarterly Reviews of Biophysics 24, no. 4 (November 1991): 425–78. http://dx.doi.org/10.1017/s0033583500003863.

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Technology which makes use of biological materials has advanced dramatically in the last few decades. Production of specific biochemicals by selected microbial strains, the use of enzymes for stereospecific biosynthesis of materials and gene technological production of biologically important macromolecules are a few examples of these developments.

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28

Helbing, Dirk, Dieter Armbruster, Alexander S. Mikhailov, and Erjen Lefeber. "Information and material flows in complex networks." Physica A: Statistical Mechanics and its Applications 363, no. 1 (April 2006): xi—xvi. http://dx.doi.org/10.1016/j.physa.2006.01.042.

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29

Gunda. "Eras of Material, Energy and Information Production." Journal of Social Sciences 8, no. 3 (March 1, 2012): 429–34. http://dx.doi.org/10.3844/jssp.2012.429.434.

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30

Vogt, Norman. "Library Material Costs and Access to Information." Serials Review 18, no. 4 (December 1992): 36. http://dx.doi.org/10.1080/00987913.1992.10764110.

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31

Chudoba, R., C. Butenweg, and F. Peiffer. "Technical information system for collaborative material research." Advances in Engineering Software 35, no. 10-11 (October 2004): 747–56. http://dx.doi.org/10.1016/j.advengsoft.2004.03.021.

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32

Christiansson, Per. "Advanced material and vendor information system— AMVI." Automation in Construction 2, no. 2 (July 1993): 109–21. http://dx.doi.org/10.1016/0926-5805(93)90004-h.

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33

Cramer, Michael D. "Library material costs and access to information." Library Acquisitions: Practice & Theory 16, no. 4 (December 1992): 459. http://dx.doi.org/10.1016/0364-6408(92)90027-p.

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34

Vogt, Norman. "Library material costs and access to information." Serials Review 18, no. 4 (December 1992): 36. http://dx.doi.org/10.1016/0098-7913(92)90072-5.

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35

Tukino, Shofa Shofia Hilabi, and Heri Romadhon. "Production RAW Material Inventory Control Information System at PT. SIIX EMS Indonesia." Buana Information Technology and Computer Sciences (BIT and CS) 1, no. 1 (January 1, 2020): 8–11. http://dx.doi.org/10.36805/bit-cs.v1i1.681.

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Application of web-based raw material inventory control information system with a bill of materials (BOM) using the PHP and MySQL programming language as a database, and using the SDLC livestock device engineering method with stages of planning, design, implementation, and testing. I create a recording application that provides information about the availability of raw material reducing the error in calculating the amount of raw material based on the bill of material. With this application, it can help to purchase in determining the number of raw materials needed for production based on the master bill of material data.

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36

Côté, Rosanne, Hugh Davis, Colleen Dimock, Mary Korpan, Ken Loewen, and Lawrence M. Segal. "The Evaluation and Hazard Classification of Toxicological Information for Workplace Hazardous Materials Information System Material Safety Data Sheets." Regulatory Toxicology and Pharmacology 27, no. 1 (February 1998): 61–74. http://dx.doi.org/10.1006/rtph.1997.1179.

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37

Furukawa, Tomonari, and John G. Michopoulos. "An Information-Theoretic Approach for Computational Material Modeling." Advanced Materials Research 33-37 (March 2008): 857–62. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.857.

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This paper presents an information-theoretic approach for computational material modeling, which characterizes materials by effectively utilizing all the known information including prior and empirical information. The approach is built within the framework of recursive Bayesian estimation where various inverse analysis techniques, such as Singular Value Decomposition (SVD) and Kalman Filter (KF) can be implemented. Numerical examples first investigate the validity of the proposed approach via parametric studies. The proposed approach has been then successfully applied to the identification of a composite specimen using a triaxial testing machine.

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38

Myers, Rupert J., Tomer Fishman, Barbara K. Reck, and T. E. Graedel. "Unified Materials Information System (UMIS): An Integrated Material Stocks and Flows Data Structure." Journal of Industrial Ecology 23, no. 1 (February 7, 2018): 222–40. http://dx.doi.org/10.1111/jiec.12730.

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39

Rao, Hao. "Design and Implementation of Stone Materials Information System." Advanced Materials Research 850-851 (December 2013): 724–27. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.724.

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Stone Materials Information System use ActionScript to connect SQLite database. Information of stone materials, transaction, customer, employee can be stored by system. Several database tables are created in the system. Functions are used to complete data modification operations. Stone Materials Information System provides convenience for stone material transactions between the manufacturer and the customer.

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40

Liu, Fei, and Jun Chen Mu. "The Building of Composite Materials Information System Based on Internet of Things Technology." Applied Mechanics and Materials 281 (January 2013): 155–58. http://dx.doi.org/10.4028/www.scientific.net/amm.281.155.

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The composite material is a form of materials with new properties on the macro by the different nature of the material in two or more physical or chemical methods. The composite material is divided into two major categories of metal and nonmetal. The Internet of Things is based on the information carrier of the traditional telecommunications network, so that all can be individually addressable ordinary physical objects to achieve the interoperability network. The paper puts forward the building of composite materials information system based on internet of things technology. The experiment shows RFID is superior to M2M in building composite materials information system.

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41

Bullinger, Hans-Jörg, Joachim Warschat, and Dietmar Fischer. "Knowledge-based system for material selection for design with new materials." Knowledge-Based Systems 4, no. 2 (June 1991): 95–102. http://dx.doi.org/10.1016/0950-7051(91)90013-r.

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42

Adachi, Yoshitaka, and Zhi-Lei Wang. "Further Expectation of Mathematics and Information Engineering in Material Science and Engineering." Materia Japan 58, no. 1 (January 1, 2019): 29–32. http://dx.doi.org/10.2320/materia.58.29.

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43

KATSUMATA, Masaki, Hisashi ENDO, Seiji HAYANO, Yoshifuru SAITO, and Kiyoshi HORII. "Ferromagnetic Material Cognition by Smart Visualized Information Processing." Journal of the Visualization Society of Japan 22, no. 1Supplement (2002): 77–80. http://dx.doi.org/10.3154/jvs.22.1supplement_77.

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44

Kim, Hakryang. "Candidates’ Information Demand for the Campaign Publicity Material." Journal of Humanities and Social sciences 21 11, no. 1 (February 28, 2020): 1431–44. http://dx.doi.org/10.22143/hss21.11.1.105.

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45

McDonald, R., S. Hunt, C. Moriarty, B. Harris, S. Simonds, V. McDonald, L. Cheese, and S. James. "297* Developing patient information material: a collaborative effort." Journal of Cystic Fibrosis 6 (June 2007): S73. http://dx.doi.org/10.1016/s1569-1993(07)60272-0.

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46

Esernio-Jenssen, D., and V. Turow. "Parents' understanding of the CDC's vaccine information material." American Journal of Public Health 86, no. 11 (November 1996): 1648–49. http://dx.doi.org/10.2105/ajph.86.11.1648.

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47

Marleau, Justin N., Tianna Peller, Frederic Guichard, and Andrew Gonzalez. "Converting Ecological Currencies: Energy, Material, and Information Flows." Trends in Ecology & Evolution 35, no. 12 (December 2020): 1068–77. http://dx.doi.org/10.1016/j.tree.2020.07.014.

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48

Arifa, Bithi, and Kumar Suker. "Geography Information System (GIS) and Geography Teaching Material." Sumatra Journal of Disaster, Geography and Geography Education 2, no. 1 (June 6, 2018): 124. http://dx.doi.org/10.24036/sjdgge.v2i1.141.

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GIS technology applies geographic science with tools for understanding and collaboration. It helps people reach a common goal: to gain actionable intelligence from all types of data. GIS integrates many different kinds of data layers using spatial location. Most data has a geographic component. GIS data includes imagery, features, and basemaps linked to spreadsheets and tables. Spatial analysis lets you evaluate suitability and capability, estimate and predict, interpret and understand, and much more, lending new perspectives to your insight and decision-making.

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49

Zhang, Hongbin, Ziliang Jiang, Qipeng Xiong, Jinpeng Wu, Tian Yuan, Guangli Li, Yiwang Huang, and Donghong Ji. "Gathering Effective Information for Real-Time Material Recognition." IEEE Access 8 (2020): 159511–29. http://dx.doi.org/10.1109/access.2020.3020382.

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50

Smyth, Dion. "Podcasts on medical material: online information and resources." International Journal of Palliative Nursing 15, no. 6 (June 2009): 305. http://dx.doi.org/10.12968/ijpn.2009.15.6.42992.

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