Relevant bibliographies by topics / Processing Efficiency Theory

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Processing Efficiency Theory'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Processing Efficiency Theory"

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Eysenck, Michael W., and Manuel G. Calvo. "Anxiety and Performance: The Processing Efficiency Theory." Cognition & Emotion 6, no. 6 (November 1992): 409–34. http://dx.doi.org/10.1080/02699939208409696.

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Derakshan, Nazanin, and Michael W. Eysenck. "Anxiety, Processing Efficiency, and Cognitive Performance." European Psychologist 14, no. 2 (January 2009): 168–76. http://dx.doi.org/10.1027/1016-9040.14.2.168.

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There have been many attempts to account theoretically for the effects of anxiety on cognitive performance. This article focuses on two theories based on insights from cognitive psychology. The more recent is the attentional control theory ( Eysenck, Derakshan, Santos, & Calvo, 2007 ), which developed from the earlier processing efficiency theory ( Eysenck & Calvo, 1992 ). Both theories assume there is a fundamental distinction between performance effectiveness (quality of performance) and processing efficiency (the relationship between performance effectiveness and use of processing resources), and that anxiety impairs processing efficiency more than performance effectiveness. Both theories also assume that anxiety impairs the efficiency of the central executive component of the working memory system. In addition, attentional control theory assumes that anxiety impairs the efficiency of two types of attentional control: (1) negative attentional control (involved in inhibiting attention to task-irrelevant stimuli); and (2) positive attentional control (involved in flexibly switching attention between and within tasks to maximize performance). Recent (including unpublished) research relevant to theoretical predictions from attentional control theory is discussed. In addition, future directions for theory and research in the area of anxiety and performance are presented.
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Devlin, Joseph T., Matt H. Davis, Stuart A. McLelland, and Richard P. Russell. "Efficiency, information theory, and neural representations." Behavioral and Brain Sciences 23, no. 4 (August 2000): 475–76. http://dx.doi.org/10.1017/s0140525x00303351.

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We contend that if efficiency and reliability are important factors in neural information processing then distributed, not localist, representations are “evolution's best bet.” We note that distributed codes are the most efficient method for representing information, and that this efficiency minimizes metabolic costs, providing adaptive advantage to an organism.
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Murray, N. P., and C. M. Janelle. "Event-related potential evidence for the processing efficiency theory." Journal of Sports Sciences 25, no. 2 (January 15, 2007): 161–71. http://dx.doi.org/10.1080/02640410600598505.

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FLECK, DAVID E., PAULA K. SHEAR, and STEPHEN M. STRAKOWSKI. "Processing efficiency and sustained attention in bipolar disorder." Journal of the International Neuropsychological Society 11, no. 1 (January 2005): 49–57. http://dx.doi.org/10.1017/s1355617705050071.

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We hypothesized that patterns of sustained attention performance in bipolar disorder were consistent with processing efficiency theory—a theory of the relationship between central processing capacity and performance. We predicted (1) sustained attention deficits during mania because symptoms interfere with limited-capacity executive control processes resulting in decreased performance effectiveness; and (2) decreased processing efficiency during euthymia, as indicated by speed/accuracy tradeoffs, consistent with a stable phenotypic abnormality. Twenty-five manic bipolar, 23 euthymic bipolar, and 28 healthy comparison participants were compared on a continuous performance task and administered symptom-rating scales. The manic group was significantly impaired on overall perceptual sensitivity and demonstrated a significant linear decrease in performance over time, consistent with impaired sustained attention. The euthymic group evidenced significantly slower overall hit reaction time (RT), but when RT was controlled they performed similarly to the healthy group over time. Two discriminant functions combined to separate the groups on manic symptom severity and on-task effort/strategy use. These findings are consistent with processing efficiency theory. They suggest that euthymic patients sustain attention through effortful control at the expense of processing efficiency, while acute mania reduces the capacity for control and impairs sustained attention. Problems with processing efficiency are viewed as trait characteristics of bipolar disorder that may be overlooked by traditional error-based assessments. (JINS, 2005, 11, 49–57.)
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Smith, Nickolas C., Mark Bellamy, David J. Collins, and Danny Newell. "A test of processing efficiency theory in a team sport context." Journal of Sports Sciences 19, no. 5 (January 2001): 321–32. http://dx.doi.org/10.1080/02640410152006090.

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Murray, Nicholas P., and Christopher M. Janelle. "Anxiety and Performance: A Visual Search Examination of the Processing Efficiency Theory." Journal of Sport and Exercise Psychology 25, no. 2 (June 2003): 171–87. http://dx.doi.org/10.1123/jsep.25.2.171.

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The purpose of this study was to examine the central tenets of the Processing Efficiency Theory (PET) in the context of a dual-task auto racing simulation. Participants were placed into either high or low trait-anxiety groups and required to concurrently undertake a driving task while responding to one of four target LEDs upon presentation of either a valid or an invalid cue located in the central or peripheral visual field. Eye movements and dual-task performance were recorded under baseline and competition conditions. Anxiety was induced by an instructional set delivered prior to the competition condition. Findings indicated that while there was little change in driving performance from baseline to competition, response time was reduced for the low-anxious group but increased for the high-anxious group during the competitive session. Additionally there was an increase in search rate for both groups during the competitive session, indicating a reduction in processing efficiency. Implications of this study include a more comprehensive and mechanistic account of the PET and confirm that increases in cognitive anxiety may result in a reduction of processing efficiency, with little change in performance effectiveness.
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Akili, Samira, and Matthias Weidlich. "Reasoning on the Efficiency of Distributed Complex Event Processing." Fundamenta Informaticae 179, no. 2 (March 10, 2021): 113–34. http://dx.doi.org/10.3233/fi-2021-2017.

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Complex event processing (CEP) evaluates queries over streams of event data to detect situations of interest. If the event data are produced by geographically distributed sources, CEP may exploit in-network processing that distributes the evaluation of a query among the nodes of a network. To this end, a query is modularized and individual query operators are assigned to nodes, especially those that act as data sources. Existing solutions for such operator placement, however, are limited in that they assume all query results to be gathered at one designated node, commonly referred to as a sink. Hence, existing techniques postulate a hierarchical structure of the network that generates and processes the event data. This largely neglects the optimisation potential that stems from truly decentralised query evaluation with potentially many sinks. To address this gap, in this paper, we propose Multi-Sink Evaluation (MuSE) graphs as a formal computational model to evaluate common CEP queries in a decentralised manner. We further prove the completeness of query evaluation under this model. Striving for distributed CEP that can scale to large volumes of high-frequency event streams, we show how to reason on the network costs induced by distributed query evaluation and prune inefficient query execution plans. As such, our work lays the foundation for distributed CEP that is both, sound and efficient.
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SUN, Guoxiao, and Liwei ZHANG. "Processing Efficiency Theory to Attentional Control Theory: New Perspective for Anxiety-performance Relationship in Sport Psychology." Advances in Psychological Science 21, no. 10 (December 16, 2013): 1851–64. http://dx.doi.org/10.3724/sp.j.1042.2013.01851.

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Zheng, Hua Lin, Gao Lei Guo, Zheng Shou Jia, and Bing Shen Liu. "Study on Layered Processing Theory of Slender Inner Helical Surface." Advanced Materials Research 337 (September 2011): 639–44. http://dx.doi.org/10.4028/www.scientific.net/amr.337.639.

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To solve the difficult and low-efficient processing problems of slender inner helical surface, the layered processing theory and method of slender inner helical surface based on slender inner helical surface structure in screw drill stator as the research object is put forward. The whole processing of slender inner helical surface is innovated by simple layer processing, which reduce the processing difficulty and improve manufacturing efficiency. The key techniques are studied such as screw drill stator structure, the design method and processing technology and the analysis and calculation of interference, which provide the theory for layered processing of slender inner helical surface structural components processing.
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Dissertations / Theses on the topic "Processing Efficiency Theory"

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Chong, Joyce L. Y. "Anxiety and working memory : an investigation and reconceptualisation of the Processing Efficiency Theory." University of Western Australia. School of Psychology, 2003. http://theses.library.uwa.edu.au/adt-WU2004.0050.

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A dominant theory in the anxiety-working memory literature is the Processing Efficiency Theory (Eysenck & Calvo, 1992). According to this theory, worry - the cognitive component of state anxiety - pre-empts capacity in the central executive and phonological loop components within Baddeley and Hitch's (1974) fixed-capacity working memory system. Central to the Processing Efficiency Theory is the distinction between performance effectiveness (i.e. quality of performance) and processing efficiency (i.e. performance effectiveness divided by effort), with anxiety proposed to impair efficiency to a greater extent than it does effectiveness. The existing literature has provided support for this theory, although there exist factors that complicate the findings, including the nature of the working memory tasks utilised, comorbid depression, and the distinction between trait and state anxiety. Clarification of the limiting factors in the anxiety-working memory literature was sought over a series of initial methodological studies. The first study was an initial step in addressing the issue of comorbid depression, identifying measures that maximised the distinction between anxiety and depression. The second study identified verbal and spatial span tasks suitable for examining the various working memory systems. The third study considered a possible role for somatic anxiety in the anxiety-working memory relationship, and additionally addressed the state/trait anxiety distinction. These three initial studies culminated in the fourth study which formally addressed the predictions of the Processing Efficiency Theory, and explored the cognitive/somatic anxiety distinction more fully. For the third and fourth studies, high and low trait anxious individuals underwent either cognitive (ego threat instruction) or somatic (anxious music) stress manipulations, and completed a series of span tasks assessing all components of the working memory system. Unexpectedly, the fourth study yielded a notable absence of robust effects in support of the Processing Efficiency Theory. A consideration of the research into the fractionation of central executive processes, together with an examination of tasks utilised in the existing literature, suggested that anxiety might not affect all central executive processes equally. Specifically, the tasks utilised in this programme of research predominantly invoke the process of updating, and it has recently been suggested that anxiety may not actually impair this process (Dutke & Stober, 2001). This queried whether the current conceptualisation of the central executive component as a unified working memory system within the PET was adequate or if greater specification of this component was necessary. One central executive process identified as possibly mediating the anxiety-working memory relationship is that of inhibition, and the focus of the fifth study thus shifted to clarifying this more complex relationship. In addition to one of the verbal span tasks utilised in the third and fourth studies, the reading span task (Daneman & Carpenter, 1980) and a grammatical reasoning task (MacLeod & Donnellan, 1993) were also included. Inhibitory processing was measured using the directed ignoring task (Hopko, Ashcraft, Gute, Ruggerio, & Lewis, 1998). This study established that inhibition was affected by a cognitive stress manipulation and inhibition also played a part in the anxiety-working memory link. However other central executive processes were also implicated, suggesting a need for greater specification of the central executive component of working memory within the PET. A finding that also emerged from this, and the third and fourth studies, was that situational stress, rather than trait or state anxiety, was predominantly responsible for impairments in working memory. Finally, a theoretical analysis placing the anxiety-working memory relationship within a wider context was pursued, specifically examining how the Processing Efficiency Theory is nested within other accounts examining the relationship between mood and working memory. In particular, similarities between the theoretical accounts of the relationships between anxiety and working memory, and depression and working memory, suggest the operation of similar mechanisms in the way each mood impacts on performance. Despite the similarities, potential distinctions between the impact each has on performance are identified, and recommendations for future research are made.
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Man, Hong. "On efficiency and robustness of adaptive quantization for subband coding of images and video sequences." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/15003.

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Murray, Nicholas P. "An assessment of the efficiency and effectiveness of simulated auto racing performance psychophysiological evidence for the processing efficiency theory as indexed through visual search characteristics and P300 reciprocity /." [Florida] : State University System of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ane5961/Dissertation%5FNicholas%5FMurray.pdf.

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Thesis (Ph. D.)--University of Florida, 2000.
Title from first page of PDF file. Document formatted into pages; contains vi, 124 p.; also contains graphics. Vita. Includes bibliographical references (p. 106-117).
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Northern, Jebediah J. "Anxiety and Cognitive Performance: A Test of Predictions Made by Cognitive Interference Theory and Attentional Control Theory." Bowling Green State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1276557720.

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Adams, Danielle. "Exploring the attentional processes of expert performers and the impact of priming on motor skill execution." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/5082.

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It is widely acknowledged that under situations of heightened pressure, many expert athletes suffer from performance decrements. This phenomenon has been termed ‘choking under pressure’ and has been the subject of extensive research in sport psychology. Despite this attention, gaps in the literature remain leaving opportunities for further advancements in knowledge about the phenomenon, particularly in relation to its underlying processes and the development of appropriate interventions that can be adopted in order to alleviate, or even prevent choking. The present programme of research, in general terms, aimed to develop and test the efficacy of an intervention tool, based on priming, to alleviate choking under pressure. It was acknowledged that such a tool should be matched to the mechanisms that underlie the choking process and although an abundance of research has provided valuable information about these mechanisms, it was identified that there still remains a lack of consensus regarding the most appropriate explanatory theory. Therefore the initial study in this thesis aimed to provide further insight into the processes that govern choking by examining accounts from elite international swimmers of their experiences of performing under high levels of pressure. The results provided further support for the postulation that choking under pressure occurs as a result of a combination of conscious processing hypothesis (Masters, 1992) and processing efficiency theory (Eysenck & Calvo, 1992) and that an optimum level of skill-focused attention is beneficial to performance. The following studies utilised this information as well as that of the existent theories of choking, to develop and examine an effective priming based intervention tool (a scrambled sentence task). Specifically, Studies 2, 3 and 4 examined the amount of residual working memory available after activation of the prime, the optimisation of the priming task and the efficacy of the tool in promoting performance under high pressure respectively. Results revealed support for the efficacy of the tool in reducing online skill-focused attention and promoting performance under both low- and high-pressure conditions. Finally, the general themes that emerged throughout the whole programme of study are discussed, as well as the limitations and recommendations for future research. Implications for coaches, athletes and practitioners are also presented.
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Manglani, Heena R. "A neural network analysis of sedentary behavior and information processing speed in multiple sclerosis." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu15253688510945.

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Curtis, Cheryl Anne. "The relationship between anxiety, working memory and academic performance among secondary school pupils with social, emotional and behavioural difficulties : a test of Processing Efficiency Theory." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/142539/.

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Research has shown that negative emotions, particularly anxiety, can play a role in learning and academic performance. The Processing Efficiency Theory (PET) and the more recent Attentional Control Theory (ACT) have been put forward to explain the relationship between anxiety and performance. The theories assume that worry (the cognitive component of anxiety) is thought to have a significant impact on performance and that the affect of anxiety on performance is through working memory, and in particular the central executive. The literature review identified a number of key areas of development, including the application of the theories to younger populations and with targeted populations who underachieve in school. The empirical paper aimed to test the application of PET and ACT for pupils with social, emotional and behavioural difficulties (SEBD). It investigated whether the negative impact of anxiety on academic performance was mediated via working memory and whether this relationship was moderated by emotional regulation. Twenty-four pupils with SEBD aged 12 to 14 completed working memory tasks and self-report anxiety measures. Academic performance was also assessed. Heart rate variability and parent-rated measures of conduct problems and hyperactivity were used as indicators of emotional regulation. The results showed that overall, there was a negative association between test anxiety and academic performance and this association was clearer for the thoughts component of test anxiety. Visuospatial, but not verbal working memory was found to mediate the relationship between test anxious thoughts and academic performance on tasks where the central executive was involved. These findings are broadly consistent with PET and ACT. The mediation relationship was stronger for pupils identified as displaying higher levels of hyperactivity; no moderating effect was found for either heart rate variability or conduct problems. The results have implications for understanding the underachievement of children with SEBD and for considering interventions to promote attainment in school.
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Cheng, James Sheung-Chak. "Efficient query processing on graph databases /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?CSED%202008%20CHENG.

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Lian, Xiang. "Efficient query processing over uncertain data /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20LIAN.

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He, Xin. "On efficient parallel algorithms for solving graph problems /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487331541710947.

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Books on the topic "Processing Efficiency Theory"

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Huang, Chongfu. Towards efficient fuzzy information processing: Using the principle of information diffusion. Heidelberg: Physica-Verlag, 2002.

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Baeza-Yates, R. Efficient text searching of regular expressions. Waterloo, Ont: UW Centre for the New Oxford English Dictionary, 1989.

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Gonnet, G. H. Efficient searching of text and pictures: Extended abstract. Waterloo, Ont: UW Centre for the New Oxford English Dictionary, 1988.

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Wallace, Thomas Henry. Improving the computational efficiency of subspace algorithms for frequency estimation of sinusoidal signals. 1994.

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Perrig, Walter J., and Alexander Grob. Control of Human Behavior, Mental Processes, and Consciousness: Essays in Honor of the 60th Birthday of August Flammer. Taylor & Francis Group, 2014.

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August, Flammer, Perrig Walter J, and Grob Alexander 1958-, eds. Control of human behavior, mental processes, and consciousness: Essays in honor of the 60th birthday of August Flammer. Mahwah, N.J: Lawrence Erlbaum Associates, 2000.

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(Editor), Walter J. Perrig, and Alexander Grob (Editor), eds. Control of Human Behavior, Mental Processes, and Consciousness: Essays in Honor of the 60th Birthday of August Flammer. Lawrence Erlbaum, 2000.

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Huang, Chongfu, and Yong Shi. Towards Efficient Fuzzy Information Processing. Physica-Verlag Heidelberg, 2002.

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Yaroslavsky, Leonid, ed. Fast Transform Methods in Digital Signal Processing Theory Applications Efficient Algorithms. BENTHAM SCIENCE PUBLISHERS, 2012. http://dx.doi.org/10.2174/97816080523011110101.

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Computational Methods In Nonlinear Analysis Efficient Algorithms Fixed Point Theory And Applications. World Scientific Publishing Company, 2013.

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Book chapters on the topic "Processing Efficiency Theory"

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Sasaki, Hiroaki, Shunji Satoh, and Shiro Usui. "Efficient Representation by Horizontal Connection in Primary Visual Cortex." In Neural Information Processing. Theory and Algorithms, 132–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17537-4_17.

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Herzig, Philipp, Bernhard Wolf, Svenja Brunstein, and Alexander Schill. "Efficient Persistency Management in Complex Event Processing: A Hybrid Approach for Gamification Systems." In Theory, Practice, and Applications of Rules on the Web, 129–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39617-5_14.

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Ngo, Vuong M., Gary Munnelly, Fabrizio Orlandi, Peter Crooks, Declan O’Sullivan, and Owen Conlan. "A Semantic Search Engine for Historical Handwritten Document Images." In Linking Theory and Practice of Digital Libraries, 60–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86324-1_7.

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AbstractA very large number of historical manuscript collections are available in image formats and require extensive manual processing in order to search through them. So, we propose and build a search engine for automatically storing, indexing and efficiently searching the manuscript images. Firstly, a handwritten text recognition technique is used to convert the images into textual representations. In the next steps, we apply the named entity recognition and historical knowledge graph to build a semantic search model, which can understand the user’s intent in the query and the contextual meaning of concepts in documents, to return correctly the transcriptions and their corresponding images for users.
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Kmetz, John L. "The VAST Shop Effectiveness and Efficiency Studies." In The Information Processing Theory of Organization, 177–239. Routledge, 2018. http://dx.doi.org/10.4324/9780429433054-4.

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S. Mechee, Mohammed, Zahir M. Hussain, and Zahrah Ismael Salman. "Wavelet Theory: Applications of the Wavelet." In Wavelet Theory. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94911.

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In this Chapter, continuous Haar wavelet functions base and spline base have been discussed. Haar wavelet approximations are used for solving of differential equations (DEs). The numerical solutions of ordinary differential equations (ODEs) and fractional differential equations (FrDEs) using Haar wavelet base and spline base have been discussed. Also, Haar wavelet base and collocation techniques are used to approximate the solution of Lane-Emden equation of fractional-order showing that the applicability and efficacy of Haar wavelet method. The numerical results have clearly shown the advantage and the efficiency of the techniques in terms of accuracy and computational time. Wavelet transform studied as a mathematical approach and the applications of wavelet transform in signal processing field have been discussed. The frequency content extracted by wavelet transform (WT) has been effectively used in revealing important features of 1D and 2D signals. This property proved very useful in speech and image recognition. Wavelet transform has been used for signal and image compression.
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Lu, Yang. "Deep Learning of Data Analytics in Healthcare." In Theory and Practice of Business Intelligence in Healthcare, 151–65. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2310-0.ch007.

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The importance of data as the fuel of artificial intelligence is self-evident. As the degree of informatization in various industries deepens, the amount of accumulated data continues to increase; however, data processing capability lags far behind the exponential growth of data volume. To gather accurate results, more and more data should be collected. However, the more data collected, the slower the processing and analyzing of that data. The emergence of deep learning solves the problem of how to process large amounts of data quickly and precisely. With the advancement of technology, the healthcare industry has achieved a promising level of needed data. Moreover, if deep learning can be used to aid disease diagnosis, patient data can be processed efficiently, useful information can be screened, valuable diagnostic rules can be mined, and disease diagnosis results can be better formulated and treated. It is foreseeable that deep learning has the potential to improve the effectiveness and the efficiency of healthcare and relevant industries.
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Huang, Wenhao David, and Tristan Johnson. "Instructional Game Design Using Cognitive Load Theory." In Handbook of Research on Effective Electronic Gaming in Education, 1143–65. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-808-6.ch066.

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This chapter proposes an instructional game design framework based on the 4C/ID-model and cognitive load theory, its associated theoretical foundation. The proposed systematic design framework serves as the processing link to connect games’ powerful characteristics in enhancing learning experience with desired learning outcomes. In this chapter we focus on the cognitive aspect of learning outcome: the development of transferable schema. This chapter introduces design guidelines to attain specific game characteristic by prioritizing the design components in 4C/ID-model. Each game characteristic consists of three levels of design emphasis: preliminary, secondary, and tertiary. The ultimate goal of this chapter is to initiate a series of dialogue between cognitive learning outcome, systematic instructional design, and instructional game design thereby seeking to improve the overall game design and instructional efficiency.
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Walczak, Steven. "First-Time Leaders and Implicit Leadership Theory." In Handbook of Research on Innate Leadership Characteristics and Examinations of Successful First-Time Leaders, 109–31. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7592-5.ch007.

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First-time leaders may find themselves thrust into very stressful situations for their teams and organizations at large. First-time leaders in corporations, the classroom, sports, the military, and politics should understand how stress changes the way followers perceive their leader and the ideal traits for a leader through changing leadership prototype schemas. Implicit leadership theories, social information processing, and cognitive psychology suggest that stress can influence the activation of schema. Changing leadership prototype schemas of followers may affect subsequent productivity and efficiency. This chapter examines if leadership prototype schemas change under stress and recommends ways first-time leaders can respond to these changing schemas, including how female first-time leaders who are often initially perceived as more sensitive leaders can utilize changing perceptions and ideal leader prototypes under stressful conditions.
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Marchant, Richard, and Catherine M. Yule. "Aquatic Macroinvertebrates." In Freshwater Ecology and Conservation, 240–54. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198766384.003.0011.

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Sampling of aquatic macroinvertebrates requires techniques that are efficient and representative. Stratification of sampling units is a practical way of ensuring representative coverage of the habitat. However, efficiency of sampling devices used in the field and techniques for extraction of specimens from samples has rarely been assessed. Commonly used qualitative and quantitative samplers are described as well as the situations in which a particular device is most likely to be useful. The efficiency of these devices can be estimated using a technique known as removal sampling, whose underlying statistical theory is well understood. The laboratory examination of samples is straightforward but tedious. Flotation of specimens from inorganic material and subsampling are two methods of speeding up laboratory processing. Small cryptic species or small instars are easily obscured by detritus when picking specimens from samples under low magnification. By scanning samples twice the efficiency of extraction of specimens can be estimated.
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Hunt III, Harry B., and Madhav V. Marathe. "Towards a Predictive Computational Complexity Theory for Periodically Specified Problems: A Survey." In Computational Complexity and Statistical Physics. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195177374.003.0022.

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The preceding chapters in this volume have documented the substantial recent progress towards understanding the complexity of randomly specified combinatorial problems. This improved understanding has been obtained by combining concepts and ideas from theoretical computer science and discrete mathematics with those developed in statistical mechanics. Techniques such as the cavity method and the replica method, primarily developed by the statistical mechanics community to understand physical phenomena, have yielded important insights into the intrinsic difficulty of solving combinatorial problems when instances are chosen randomly. These insights have ultimately led to the development of efficient algorithms for some of the problems. A potential weakness of these results is their reliance on random instances. Although the typical probability distributions used on the set of instances make the mathematical results tractable, such instances do not, in general, capture the realistic instances that arise in practice. This is because practical applications of graph theory and combinatorial optimization in CAD systems, mechanical engineering, VLSI design, transportation networks, and software engineering involve processing large but regular objects constructed in a systematic manner from smaller and more manageable components. Consequently, the resulting graphs or logical formulas have a regular structure, and are defined systematically in terms of smaller graphs or formulas. It is not unusual for computer scientists and physicists interested in worst-case complexity to study problem instances with regular structure, such as lattice-like or tree-like instances. Motivated by this, we discuss periodic specifications as a method for specifying regular instances. Extensions of the basic formalism that give rise to locally random but globally structured instances are also discussed. These instances provide one method of producing random instances that might capture the structured aspect of practical instances. The specifications also yield methods for constructing hard instances of satisfiability and various graph theoretic problems, important for testing the computational efficiency of algorithms that solve such problems. Periodic specifications are a mechanism for succinctly specifying combinatorial objects with highly regular repetitive substructure. In the past, researchers have also used the term dynamic to refer to such objects specified using periodic specifications (see, for example, Orlin [419], Cohen and Megiddo [103], Kosaraju and Sullivan [347], and Hoppe and Tardos [260]).
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Conference papers on the topic "Processing Efficiency Theory"

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Tohl, Damian, Jimmy Li, and C. Michael Bull. "Pre-processing Techniques to Improve the Efficiency of Video Identification for the Pygmy Bluetongue Lizard." In International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005317306230629.

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Liu, Dongxiao, and Min Zhang. "Optimization Model for Real Estate Online Marketing Efficiency Evaluation Based on Fuzzy Theory." In 2009 Asia-Pacific Conference on Information Processing, APCIP. IEEE, 2009. http://dx.doi.org/10.1109/apcip.2009.238.

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Wu, Xiuzhe, Hanli Wang, and Zhihua Wei. "Optimal stopping theory based fast coding tree unit decision for high efficiency video coding." In 2016 Visual Communications and Image Processing (VCIP). IEEE, 2016. http://dx.doi.org/10.1109/vcip.2016.7805450.

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Vieira, Alexandre, Helder Duarte, Cristian Perra, Luis Tavora, and Pedro Assuncao. "Data formats for high efficiency coding of Lytro-Illum light fields." In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2015. http://dx.doi.org/10.1109/ipta.2015.7367195.

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Pliushch, Oleksandr, Viktor Vyshnivskyi, Serhii Toliupa, and Anatolii Rybydajlo. "Utilization of Clipper Circuits to Improve Efficiency of the Gradient Signal Processing Algorithm for Adaptive Antenna Arrays." In 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT). IEEE, 2019. http://dx.doi.org/10.1109/atit49449.2019.9030529.

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Asfoor, Hasan, and Walid Kaskas. "Harnessing the Power of Natural Language Processing and Fuzzy Theory to Improve Oil and Gas Data Management Efficiency." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. Society of Petroleum Engineers, 2019. http://dx.doi.org/10.2118/196259-ms.

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Jianjun, Wu. "Potential Theory Based Blank Design for Deep Drawing Irregular Shaped Components." In ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing. ASMEDC, 2008. http://dx.doi.org/10.1115/msec_icmp2008-72544.

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A computer aided blank design method based on the potential theory and boundary element methods is presented. The potential theory approximately describes the material flow involved in deep drawing processes. Using the CAD model of an irregular shaped component, a specific number of cross sections at different heights can be generated. In order to obtain the blank shape, the outermost contour is determined by developing these sections gradually. This blank design procedure is like an imaginary reverse material flow governed by the potential theory. In addition, the boundary element method provides a good computational efficiency. This computer aided design method has been found effective by a manufacturer and the proposed approach can be used for a wide variety of complicated deep drawing components.
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Yang, Ting-Yi, Bao-Jun Shi, Pei-Qi Ge, and Dong-Wei Shu. "Averaged Reynolds Equation Based on the Homogenization Theory for Gas Film Lubrication in the Head/Disk Interface." In ASME 2014 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/isps2014-6943.

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In order to improve the magnetic recording density of hard disk drives, discrete track disks and/or bit patterned disks are being considered. The gas film lubrication characteristics of a disk with microscale geometric surface features are different from those of traditional “smooth” disks. In this paper, an averaged Reynolds equation suitable for the analysis of gas film lubrication with discrete track recording (DTR) disks is derived based on the homogenization theory and a simplified model of the Reynolds equation with linearized flow rate (LFR). The averaged Reynolds equation and the LFR model are solved simultaneously using the finite volume method. Numerical results show that the pressure solution of the averaged Reynolds equation agrees well with the LFR model for DTR disks. The exact pressure values fluctuate in the neighborhood of those of the averaged pressure distribution curve. The pressure distributions of a complex slider for different groove depths are presented to investigate the effects of groove depth on pressure profiles. The proposed approach is shown to have a high computational efficiency.
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Usubamatov, Ryspek, Tan Chan Sin, and Mohd Fidzwan B. Md Amin Hamzas. "Productivity Theory for Industrial Automated Lines." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62722.

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The basic attributes of any industrial machines and systems are productivity rate and quality of products. Attributes of productivity are related to the theory of reliability let alone the theory of efficiency of machines. Publications in area of productivity of the industrial systems enable to write the productivity theory for the industrial machines and systems. This theory shows the links between productivity, reliability, technological and technical parameters and the structure of machines with complex designs. Automated production lines are considered industrial systems for the collection of serial and parallel stations arranged according to a certain structure that depends on a technological process of machining parts. Manufacturers require correct and clear mathematical models to calculate the productivity of the automated lines with high accuracy. The mathematical models for productivity rate of industrial systems with complex design define their structures according to the level of output. This paper presents an analytical approach to the productivity rate of automated lines with stations and mechanisms that display different failure rates and processing times. The typical designs of industrial automated lines are considered by three types of structure: multi-station ’s automated line of serial, parallel action and serial-parallel action. All designs can be presented using linear, circular and rotary arrangements. The analytical equations allow for the output of the automated lines to be modeled with different failure rates for the stations and mechanisms yielding results close to the actual productivity values.
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Liao, Yi-Ju, and Jen-Yuan (James) Chang. "Identification of Factors Affecting Disk Drive’s Performance in Data Server by Use of Decision Tree Learning Method." In ASME 2021 30th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/isps2021-65277.

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Abstract To identify factors affecting magnetic disk drive’s data recording performance in data server, decision tree learning method is proposed and validated in this paper. Aiming at improving classification efficiency of various causes of HDD performance degradation, the ID3 algorithm of decision tree was first used showing the training set model would be able to achieve 100% accuracy. The maximum information entropy and information gain theory of ID3 algorithm were then adopted, from which accuracy range of 0.5–0.6 can be further achieved. The proposed method was validated to be effective for leveraging the data sever into Industry 4.0 ready smart machine.
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