scholarly journals Dependence of performance character of photon-atom entanglement source on retrieval efficiency

2019 ◽  
Vol 68 (2) ◽  
pp. 020301
Author(s):  
Sheng-Zhi Wang ◽  
Ya-Fei Wen ◽  
Chang-Rui Zhang ◽  
Deng-Xin Wang ◽  
Zhong-Xiao Xu ◽  
...  
Author(s):  
Bakhodir Mamajanovich Rakhmanov ◽  

The article analyzes the current state and functional features of the genres of myth, legend and narrative in post folklore. Small genres of folk oral epic creation, such as myths, legends, and narratives, serve the function of providing artistic information to the listener. They do not have a special artistic form. In addition, these genres have a broad mass performance character and do not have special performers. Because myths, legends, and narratives are dominated by exaggerated fiction, exaggerated interpretation, real reality does not fit their imaginative capabilities.


2012 ◽  
Vol 263-266 ◽  
pp. 1588-1592
Author(s):  
Jiu Qing Li ◽  
Chi Zhang ◽  
Peng Zhou Zhang

To solve resource-tagging inefficiency and low-precision retrieval in special field, an analysis method of tag semantic relevancy based on controlled database was proposed. The characteristic of special field and building method for controlled database were discussed. Domain ontology correlation calculation method was used to get semantic correlation. The tag semantic similarity calculation method was developed for semantic similarity, and normalization was used to increase the similarity accuracy. With semantic correlation and similarity as parameters, the semantic relevancy in special field can be obtained. This method was used successfully in the special field of actual projects, improved resource-tagging and retrieval efficiency.


2008 ◽  
Vol 19 (1) ◽  
pp. 43-68
Author(s):  
Gordana Djeric

This text is part of a research conducted under the working title "What do we talk about when we are silent and what are we silent about when we are talking? - premises for the anthropology of silence about the nearest past." In the first part the author investigates the meaning of silence in the Croatian and Serbian press right before and during Croatia's Operation Storm. The ratio between silence, suppression of information and forgetting, on the one hand, and social memory, on the other, has been elaborated in the final part of the text by following reports about the anniversaries of Operation Storm in both Croatian and Serbian publics. The starting point lies in the belief that the phenomenon of silence (and suppression of information), being an immanent part of each discourse, represents an important factor in the creation of social relationships and system of value models, that it has important communication and cognitive functions and that the performance character lies in its essence. In short, silence makes it possible to form the prevailing image about this event, even if it does not construct it indirectly - through speech. The author has elaborated on the meaning of silence in the context of Operation Storm partly because studies about the breakup of Yugoslavia frequently mention silence as a manipulation strategy employed by some of the sides in the conflict (or analysts dealing with Yugoslav topics), while not a single study systematically investigates the semantic of silence and suppression of information in these conflicts. Most importantly, taking into account the frequency of direct silence in the newspaper discourse and rhetoric strategies that point at silence indirectly from the context and discourse, the author focuses on the relationship between the event (situation) and silence. In order to shed light on the way in which Operation Storm is remembered, i.e. forgotten, in the stakeholders' publics and political imageries, she follows the dailies - Vecernje Novosti Politika, Danas (Belgrade) - Vecernji List, Jutarnji List, Magazin supplement of the Jutarnji List (Zagreb), as well as texts about Operation Storm in weeklies such as the NIN and Vreme of Belgrade or Globus of Zagreb in the period between August 2, 1995 and mid-August 2006.


1974 ◽  
Vol 7 (3) ◽  
pp. 201
Author(s):  
Dirk W. Fokker ◽  
Michael F. Lynch

<p class="p1">Keys consisting of variable-length chamcter strings from the front and rear of surnames, derived by analysis of author names in a particular data base, am used to provide approximate representations of author names. When combined in appropriate ratios, and used together with keys for each of the first two initials of personal names, they provide a high degree of discrimination in search.</p> <p class="p1">Methods for optimization of key-sets are described, and the performance of key-sets varying in size between <span class="s1">150 </span>and <span class="s1">300 </span>is determined at file sizes of up to <span class="s1">50,000 </span>name entries. The effects of varying the proportions of the queries present in the file are also examined. The results obtained with fixed-length keys are compared with those for variable-length keys, showing the latter to be greatly superior.</p> <p class="p1">Implications of the work for a variety of types of information systems are discussed.</p>


Author(s):  
Scott Henderson ◽  
Sidney C. Bailin

AbstractThis paper describes an application of artificial intelligence to support software reuse. We begin by discussing the characteristics of software engineering that establish dynamic reorganization as a requirement for a repository of software artifacts. We then present an experimental system that uses incremental concept formation as the basis for dynamic reorganization, and the conceptual hierarchy that was generated by the system for a set of 67 artifacts. The hierarchy is compared to a hierarchy produced manually by independent investigators, and the automatic hierarchy is evaluated in terms of retrieval efficiency and retrieval reliability. The paper ends with a discussion of three projects that share similar objectives with our work.


2003 ◽  
Vol 3 (1) ◽  
pp. 225-252 ◽  
Author(s):  
M. J. Newchurch ◽  
D. Sun ◽  
J. H. Kim ◽  
X. Liu

Abstract. Using TOMS total-ozone measurements over high-altitude cloud locations and nearby paired clear locations, we describe the Clear-Cloudy Pairs (CCP) method for deriving tropical tropospheric ozone. The high-altitude clouds are identified by measured 380 nm reflectivities greater than 80% and Temperature Humidity InfraRed (THIR) measured cloud-top pressures less than 200 hPa. To account for locations without high-altitude clouds, we apply a zonal sine fitting to the stratospheric ozone derived from available cloudy points, resulting in a wave-one amplitude of about 4 DU. THIR data is unavailable after November 1984, so we extend the CCP method by using a reflectivity threshold of 90% to identify high-altitude clouds and remove the influence of high-reflectivity-but-low-altitude clouds with a lowpass frequency filter. We correct ozone retrieval errors associated with clouds, and ozone retrieval errors due to sun glint and aerosols. Comparing CCP results with Southern Hemisphere ADditional OZonesondes (SHADOZ) tropospheric ozone indicates that CCP tropospheric ozone and ozonesonde measurements are highly consistent. The most significant difference between CCP and ozonesonde tropospheric ozone can be explained by the low Total Ozone Mapping Spectrometer (TOMS) retrieval efficiency of ozone in the lower troposphere.


2018 ◽  
Vol 24 (3) ◽  
pp. 303-308
Author(s):  
张常睿 ZHANG Chang-rui ◽  
王圣智 WANG Sheng-zhi ◽  
徐忠孝 XU Zhong-xiao ◽  
李淑静 LI Shu-jing ◽  
王海 WANG Hai

Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1103
Author(s):  
Yue Song ◽  
Minjuan Wang ◽  
Wanlin Gao

In order to improve the retrieval results of digital agricultural text information and improve the efficiency of retrieval, the method for searching digital agricultural text information based on local matching is proposed. The agricultural text tree and the query tree are constructed to generate the relationship of ancestor–descendant in the query and map it to the agricultural text. According to the retrieval method of the local matching, the vector retrieval method is used to calculate the digital agricultural text and submit the similarity between the queries. The similarity is sorted from large to small so that the agricultural text tree can output digital agricultural text information in turn. In the case of adding interference information, the recall rate and precision rate of the proposed method are above 99.5%; the average retrieval time is between 4s and 6s, and the average retrieval efficiency is above 99%. The proposed method is more efficient in information retrieval and can obtain comprehensive and accurate search results, which can be used for the rapid retrieval of digital agricultural text information.


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