Academic literature on the topic 'Whitespace'

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Journal articles on the topic "Whitespace"

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Roy, Jarrod A., David A. Papa, and Igor L. Markov. "Fine Control of Local Whitespace in Placement." VLSI Design 2008 (September 23, 2008): 1–10. http://dx.doi.org/10.1155/2008/517919.

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In modern design methodologies, a large fraction of chip area during placement is left unused by standard cells and allocated as “whitespace.” This is done for a variety of reasons including the need for subsequent buffer insertion, as a means to ensure routability, signal integrity, and low coupling capacitance between wires, and to improve yield through DFM optimizations. To this end, layout constraints often require a certain minimum fraction of whitespace in each region of the chip. Our work introduces several techniques for allocation of whitespace in global, detail, and incremental placement. Our experiments show how to efficiently improve wirelength by reallocating whitespace in legal placements at the large scale. Additionally, for the first time in the literature, we empirically demonstrate high-precision control of whitespace in designs with macros and obstacles. Our techniques consistently improve the quality of whitespace allocation of top-down as well as analytical placement methods and achieve low penalties on designs from the ISPD 2006 placement contest with minimal interconnect increase.
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Oversby, John. "THE ROLE OF WHITESPACE IN NOTICING IN SCIENTIFIC DIAGRAMS." Contributions, Section of Natural, Mathematical and Biotechnical Sciences 38, no. 1 (June 20, 2017): 105. http://dx.doi.org/10.20903/csnmbs.masa.2017.38.1.106.

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Scientic diagrams are one of the tools of explanation, alongside text. The paper is a part of research on the role of diagrams in learning, here focusing on what is known as whitespace. Whitespace, which is not always white, is often seen as empty space, that is space without content. However, many diagrams have active whitespace, such the green background in safety diagrams which indicates action to be taken, and is a positive colour. Some have red 'whitespace' indicating the danger of undertaking an action. These all promote 'noticing', that is, drawing features to the observers' attention as part of the diagram purpose. The paper explores two clear examples on safety diagrams (signs) and one where observers were unclear about what was whitespace and what was active content.
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Harrington, Lalenja. "Rupturing the Whitespace." Departures in Critical Qualitative Research 11, no. 3 (2022): 94–110. http://dx.doi.org/10.1525/dcqr.2022.11.3.94.

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In this article, I enter into a poetic engagement with scholars Audre Lorde, Mecca Jamilah Sullivan, and Cynthia Dillard and to explore the ways in which I seek to “rupture” normative understandings and representations of teaching and research praxis in higher education. It is an unapologetic reclamation of Lorde’s concept of the Erotic as an act of what Dillard calls (re)membering, and Sullivan’s working of queer reading practices that encourage us to expand our scholarly vocabulary beyond the “whitespace”—beyond what English prose is able to capture. In this work, I offer my own body as data as well as a framework for assessing praxis alignment through embodied analysis, answering Lorde’s call to privilege the rightness of “feeling” as true knowledge. This article is a love letter to Black feminist cultural production and a radical reimagining of the metrics of oppression that have historically been used to disconnect our bodies and minds in the name of science and best practice. It is a call to celebrate the liminal spaces that we occupy with the fullness of ourselves, and to trust our own authoring of knowledge, experience, and wisdom as educators, researchers, and scholars.
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Sangani, K. "Whitespace heats up." Engineering & Technology 5, no. 8 (June 5, 2010): 30–31. http://dx.doi.org/10.1049/et.2010.0805.

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Raza, M. Asif, Zafar Iqbal, Sang-Seon Byun, Hyunduk Kang, and Heung-No Lee. "A Versatile Coexistence Decision-Making System for Efficient TV Whitespace Sharing among Whitespace Objects." Wireless Communications and Mobile Computing 2017 (2017): 1–20. http://dx.doi.org/10.1155/2017/8498217.

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A coexistence decision-making (CDM) system for efficient TV whitespace (TVWS) sharing among whitespace objects (WSOs) is introduced in this paper. The proposed system is considered versatile in functionality as it jointly takes care of three distinct channel allocation features: (a) optimizing system quality of service (QoS) performance metrics, (b) improving TVWS utility, and (c) satisfying WSO channel demands. Regarding system QoS performance metrics, the TVWS sharing problem is defined as an optimization problem with an aim to maximize the system throughput and minimize unfairness in allocation. Supporting the WSOs channel demands in a TVWS sharing problem is a multifold task which requires elaborate consideration in different aspects of the system performance. To this end, the variations of the SNR of wireless frequency channels which result in variable throughput gain of the WSOs are also taken care of in the proposed CDM system. A fast channel allocation algorithm is then designed that implements the TVWS sharing mechanism in a reasonable amount of time. Additionally, the proposed algorithm improves the TVWS utility by promoting a novel frequency reuse method by exploiting the inter-WSO interference information. Simulation results show the superiority of the proposed algorithm over existing TVWS sharing algorithms.
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Stuber, G. L., S. M. Almalfouh, and D. Sale. "Interference Analysis of TV-Band Whitespace." Proceedings of the IEEE 97, no. 4 (April 2009): 741–54. http://dx.doi.org/10.1109/jproc.2009.2013039.

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Coppersmith, Glen. "Digital Life Data in the Clinical Whitespace." Current Directions in Psychological Science 31, no. 1 (January 24, 2022): 34–40. http://dx.doi.org/10.1177/09637214211068839.

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In our increasingly digital world, aspects of our lives are encoded in the routine interactions we have with technology. Over the past few years, psychologists and technologists have been exploring what possibilities these digital life data might hold for improving mental health and well-being. Here I examine some of the recent advances in this field, particularly in the use of language data; consider the ethical and pragmatic implications of this technology; and examine a few areas where I believe these advances could significantly alter the way in which mental health and well-being are approached. This technology holds special promise for providing information about a patient’s life in between clinical encounters, in the clinical whitespace.
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Caldwell, A. E., A. B. Kahng, and I. L. Markov. "Hierarchical whitespace allocation in top-down placement." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 22, no. 11 (November 2003): 1550–56. http://dx.doi.org/10.1109/tcad.2003.818375.

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Adya, Saurabh N., Igor L. Markov, and Paul G. Villarrubia. "On whitespace and stability in physical synthesis." Integration 39, no. 4 (July 2006): 340–62. http://dx.doi.org/10.1016/j.vlsi.2005.08.003.

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Forde, Tim, and Linda Doyle. "A TV whitespace ecosystem for licensed cognitive radio." Telecommunications Policy 37, no. 2-3 (March 2013): 130–39. http://dx.doi.org/10.1016/j.telpol.2012.07.005.

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Dissertations / Theses on the topic "Whitespace"

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Daniel, Jason Lloyd. "Whitespace Exploration." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1791.

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As engineering systems grow in complexity so too must the design tools that we use evolve and allow for decision makers to efficiently ask questions of their model and obtain meaningful answers. The process of whitespace exploration has recently been developed to aid in engineering design and provide insight into a design space where traditional design exploration methods may fail. In an effort to further the research and development of whitespace exploration algorithms, a software package called Thalia has been created to allow for automated data collection and experimentation with the whitespace exploration methodology. In this work, whitespace exploration is defined and the current state of the art of whitespace exploration algorithms is reviewed. The whitespace exploration library Thalia along with a collection of benchmarking cases are described in detail. A set of experiments on the benchmark cases are run and analyzed to further understand the behavior of the algorithm and outline initial performance results which can later be used for comparison to aid in improving the methodology.
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Kählert, Stefan [Verfasser]. "Frequency agile filter concept for wireless whitespace receivers / Stefan Kählert." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2014. http://d-nb.info/1065418280/34.

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Otto, Kevin, Victor Tang, and Warren Seering. "Establishing Quantitative Economic Value for Features and Functionality of New Products and New Services (CHAPTER N)." PDMA Toolbook II, 2003. http://hdl.handle.net/1721.1/3821.

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This chapter has two key themes: (1) a list of customer needs is interesting, but insufficient for many development decisions, (2) establishing a quantified, dollar value for each requirement is more helpful. To that end, we present an approach and method to establishing the quantitative monetary value for new product features and performance. This approach is targeted to product development managers and engineers engaged at the “front-end” of the product development process when the decisions about selection and trade-off of product functions and features are made. This approach examines the customer’s business operations and essentially establishing their business case for your product down to the feature and performance levels. This provides for much better trade-off decisions in new product development. This approach also helps to identify whitespace opportunities, those new product and/or service opportunities that are not being served by any current product. Moreover, because the methodology is fine grained, the whitespace opportunities are resolved into clear and actionable product development projects.
Center for Innovation in Product Development
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Jiang, Hua-zhen, and 江華禎. "Partition-Based 3D Floorplan with Whitespace Redistribution for Thermal Refinement." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/08230568931260789855.

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碩士
逢甲大學
資訊工程所
98
Due to the IC technologies advance, the number of transistors per unit is growing at a dramatic speed. This situation cause connecting relation between modules become more complex. Meanwhile ,the delay with the long wire becomes more serious problem . It make the efficiency of a chip down. Some researchers propose the idea, the 3D architecture , it let modules stack with vertical way and gain shorter wirelength to increase the chip efficiency. Although 3D architecture brings some benefits but also takes an another challenge – heat dissipation. With high power density and low conductivity ,heat would be allocated in the middle of chip and causing larger temperature rises. In this paper , we propose a new 3D-Floorplan algorithm. First ,we catch the connecting relation between modules and optimize the wirelength. And then we find the hot point through the thermal model analysis for redistributing whitespace to refine the temperature.
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Liu, Yu-tang, and 劉玉棠. "Integer Linear Programming Based Whitespace Redistribution for Temperature Optimization in 3D Floorplan." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/57262603466727215045.

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碩士
逢甲大學
資訊工程所
100
Leaning on Moore''s Law, the Enterprise can be placed more components within the unit area, and therefore makes the connection between components is too close and complicated. Some researchers propose the idea of 3D IC to reduce wirelength of the delay, and this thinking is it let modules stack with vertical way and gain shorter wirelength to achieve performance improvement. 3D architecture to solve the wirelength delay, but it also brings the problem of heat dissipation. Due to the vertical structure of 3D architecture some modules have high power density and low conductivity, heat would be allocated in the middle of chip and causing larger temperature rises. Therefore, this paper proposes a new algorithm for 3D IC architecture to improve the heat dissipation problem. The first step is optimized processing for the wirelength of all modules to do the initial floorplan. The second step of our algorithm to redistribution a white space to reduce temperature, and the last use of the Hotspot Thermal Model for the temperature analysis, to achieve the optimization of the chip.
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Books on the topic "Whitespace"

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Finding spiritual whitespace: Awakening your soul to rest. Grand Rapids, Michigan: Revell, a division of Baker Publishing Group, 2014.

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Clement, Adrian. WhiteSpace. Independently Published, 2018.

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Clement, Adrian. WhiteSpace. Independently Published, 2017.

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Dansereau, Patti. WhiteSpace for the Heart, Mind, and Soul Book 2: A 30-Day challenge that could change your life. Washer Women Publishing, 2017.

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Dansereau, Patti. WhiteSpace for the Heart, Mind, and Soul Book 3: A 30-Day challenge that could change your life. Washer Women Publishing, 2017.

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Book chapters on the topic "Whitespace"

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Winnie, Doug. "Comments and Whitespace." In Essential Java for AP CompSci, 65. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6183-5_13.

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Hazarika, Ojonav, and Amit Kumar Mishra. "A Review of Hardware Platforms for Whitespace Communication." In White Space Communication, 33–48. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08747-4_2.

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Hazarika, Ojonav, and Amit Kumar Mishra. "White RHINO—A New SDR Platform for Whitespace Communication." In White Space Communication, 195–219. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08747-4_7.

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Shazzad-Ur-Rahman, Md, Amit Singha, Nahid Ibne Akhtar, Md Fahim Ashhab, and K. M. Akkas Ali. "An Efficient Bengali Text Steganography Method Using Bengali Letters and Whitespace Characters." In Advances in Intelligent Systems and Computing, 477–87. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4673-4_38.

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Suzuki, Tetsuya. "A Comparison of Whitespace Normalization Methods in a Text Art Extraction Method with Run Length Encoding." In Artificial Intelligence and Computational Intelligence, 135–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23896-3_16.

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"The Whitespace Concept." In Understanding Spectrum Liberalisation, 146–55. CRC Press, 2015. http://dx.doi.org/10.1201/b18830-15.

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"Popup whitespace hubs." In BITE: Recipes for Remarkable Research, 137–38. Brill | Sense, 2014. http://dx.doi.org/10.1163/9789462095847_040.

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"The Whitespace Press: Designing Meaningful Absences into Networked News." In Remaking the News. The MIT Press, 2017. http://dx.doi.org/10.7551/mitpress/10648.003.0013.

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Derrick Horton, Hayward. "8 Racism, Whitespace, and the Rise of the Neo-Mulattoes." In Mixed Messages, 117–22. Lynne Rienner Publishers, 2006. http://dx.doi.org/10.1515/9781685857608-009.

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Schenck, Douglas, and Peter Wilson. "Basic elements." In Information Modeling: The EXPRESS Way. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195087147.003.0017.

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We start with the basic stuff used to build EXPRESS: the characters you use to build ‘words’ and the different kinds of words that may appear in the source. Computer languages call these words tokens. You compose characters according to syntax rules to form different kinds of tokens. In turn, tokens are composed into statements and statements are composed into blocks (we will get to statements and blocks directly). The syntax alone does not define the language however — we also need to be concerned with semantics. Semantics deals with the meaning of well formed syntax. As an example, EXPRESS has tokens for identifiers and reserved words. Although they both look like ‘words’ they are different; an identifier cannot be the same as a keyword. EXPRESS expects to see identifiers and reserved words in specific places within statements. It is an error to put an identifier where a reserved word is expected and vice versa. EXPRESS is correctly written only when both the syntactic and semantical rules are observed. EXPRESS source is composed as a stream of characters. The source stream is decoded into tokens, statements and blocks according to the syntax rules. The source is typically broken into a number of physical lines, which is any number (including zero) of characters ended by a ‘newline.’ The source will be more attractive and easier to read when statements are broken into lines and whitespace is used to set off different constructs. The following declarations are the same to an EXPRESS parser, but give different impressions to human readers. The EXPRESS character set is easy to explain —just look at your computer keyboard. Most of the characters you see there are used to write EXPRESS. However, there is a more complicated explanation which follows: the EXPRESS character set is denned as cells 00-7F of plane 00 of group 00 of ISO 10646. Of those characters, cells 20-7E as shown in Table 9.1 are actually used to write EXPRESS. Any other character (cells 00-1F, 7F) is called a ‘rogue’ character, and if used is treated as a space unless it appears within a string literal or a remark.
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Conference papers on the topic "Whitespace"

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Harrison, Kate, Vidya Muthukumar, and Anant Sahai. "Whitespace evaluation software (WEST) and its applications to whitespace in Canada and Australia." In 2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE, 2015. http://dx.doi.org/10.1109/dyspan.2015.7343849.

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Beyene, Yihenew, Kalle Ruttik, and Riku Jäntti. "Synchronized TV Whitespace Spectrum Access." In 9th International Conference on Cognitive Radio Oriented Wireless Networks. ICST, 2014. http://dx.doi.org/10.4108/icst.crowncom.2014.255335.

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Jain, Dhruv, Himanshu Gupta, Deeksha Gautam, Mayank Kumar, Vinay Ribeiro, and Manish Sharma. "Whitespace networks for vehicular communication." In 2013 Fifth International Conference on Communication Systems and Networks (COMSNETS). IEEE, 2013. http://dx.doi.org/10.1109/comsnets.2013.6465588.

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Jain, Abhinav, Archit Goswami, and Prerna Gaur. "Home Automation using TV Whitespace technology." In 2020 IEEE 17th India Council International Conference (INDICON). IEEE, 2020. http://dx.doi.org/10.1109/indicon49873.2020.9342411.

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Saurabh, Lucky, P. S. Geethu, Arun Kumar Singh, and Malay Ranjan Tripathy. "High Gain Antenna for WhiteSpace Application." In 2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE). IEEE, 2016. http://dx.doi.org/10.1109/icmete.2016.51.

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Rixon, Pierce M., and Michael C. Heimlich. "Quantifying secondary spectrum Whitespace Opportunity Distributions." In 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2017. http://dx.doi.org/10.1109/iwcmc.2017.7986360.

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Vorwerk, Kristofer, Andrew Kennings, Doris T. Chen, and Laleh Behjat. "Floorplan repair using dynamic whitespace management." In the 17th great lakes symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1228784.1228915.

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Roy, Jarrod A., David A. Papa, Aaron N. Ng, and Igor L. Markov. "Satisfying whitespace requirements in top-down placement." In the 2006 international symposium. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1123008.1123053.

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Briggs, Keith, and Jamie Fairbrother. "Enhanced algorithms for TV whitespace power maximization." In 2014 8th European Conference on Antennas and Propagation (EuCAP). IEEE, 2014. http://dx.doi.org/10.1109/eucap.2014.6902623.

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Srikanteswara, Srikathyayani, and Debabani Choudhury. "A review of TV Whitespace portable devices." In 2010 IEEE Radio and Wireless Symposium (RWS). IEEE, 2010. http://dx.doi.org/10.1109/rws.2010.5434109.

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