作者：
Kim, Hee-JinLiu, YongliangZeng, LingheUSDA
Cotton Fiber Biosci Res Unit Southern Reg Res Ctr SRRC ARS New Orleans LA 70124 USA USDA
Cotton Qual & Innovat Res Unit Southern Reg Res Ctr SRRC ARS New Orleans LA 70124 USA USDA
Crops Genet Res Unit ARS Stoneville MS 38766 USA
Information on boll distribution within a cotton plant is critical to evaluate the adaptation and response of cotton plants to environmental and biotic stress in cotton production. Cotton researchers have applied avai...
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Information on boll distribution within a cotton plant is critical to evaluate the adaptation and response of cotton plants to environmental and biotic stress in cotton production. Cotton researchers have applied available conventional fiber measurements, such as the high volume instrument (HVI) and advanced fiber information system (AFIS), to map the location and the timing of boll development and distribution within plants and further to determine within-plant variability of cotton fiber properties. Both HVI and AFIS require numerous cotton bolls combined for the measurement. As an alternative approach, attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy was proposed to measure fiber maturity (MIR) and crystallinity (CIIR) of a sample as little as 0.5 mg lint. Extending fiber maturity and crystallinity measurement into a single boll for node-by-node mapping, FT-IR method might be advantageous due to less sampling amount compared with HVI and AFIS methods. Results showed that FT-IR technique enabled the evaluation of fiber MIR and CIIR at a boll level, which resulted in average MIR and CIIR values highly correlated with HVI micronaire (MIC) and AFIS maturity ratio (M). Hence, FT-IR technique possesses a good potential for a rapid and non-destructive node-by-node mapping of cotton boll maturity and crystallinity distribution.
Digital media technology is playing an increasingly important role in social development, not only as a tool for information dissemination, but also as an indispensable part of human civilization progress and cultural...
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Digital media technology is playing an increasingly important role in social development, not only as a tool for information dissemination, but also as an indispensable part of human civilization progress and cultural innovation. This paper focuses on the research of LDA model, firstly introduces the general situation of LDA language system based on network in detail, and then analyzes the principle of digital image fusion algorithm in depth, and gives a brief description. In view of the problems in data compression and processing between traditional printing platform and new media technology, this paper puts forward an improvement strategy, adopts image fusion algorithm, builds a model, and tests the performance of the model. The test results show that when the fusion weight is 0, that is, when Image 2 is the main body, the SSIM value is low. When the fusion weight is 1, that is, when Image 1 is the main body, the SSIM value reaches the highest point.
Given a directed temporal graph, a start node s$$ s $$, and p$$ p $$ objectives, the task in the single-source multiobjective temporal shortest path problem (SSMTSPP) consists of computing the set of nondominated imag...
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Given a directed temporal graph, a start node s$$ s $$, and p$$ p $$ objectives, the task in the single-source multiobjective temporal shortest path problem (SSMTSPP) consists of computing the set of nondominated images of temporal s$$ s $$-v$$ v $$-paths for each node v not equal s$$ v\ne s $$ as well as one corresponding efficient path for each of these images. This problem generalizes both the multiobjective shortest path problem in static graphs and the single-objective temporal shortest path problem. In this article, we provide a general label setting algorithm for the SSMTSPP that can handle a large variety of different objectives. The only condition imposed on the objectives is a monotonicity property that generalizes the nonnegativity of the arc costs required for the well-known label setting algorithm for solving the static single-source shortest path problem in both the single objective and the multiobjective case. Our analysis of the presented algorithm shows that its worst-case running time is polynomial in the sum of the input size of the problem instance and the number of nondominated images, which implies that it runs in polynomial time as long as the number of nondominated images is polynomial in the instance size (i.e., for all tractable versions of the problem). To complement this result, we provide a complete classification into tractable and intractable problems for all SSMTSPPs involving a large variety of objectives. In particular, using our general analysis, this provides a large range of specific SSMTSPPs for which our general label setting algorithm runs in polynomial time.
We present a framework to verify both, functional correctness and worst-case complexity of practically efficient algorithms. We implemented a stepwise refinement approach, using the novel concept of resource currencie...
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ISBN:
(纸本)9783030720193;9783030720186
We present a framework to verify both, functional correctness and worst-case complexity of practically efficient algorithms. We implemented a stepwise refinement approach, using the novel concept of resource currencies to naturally structure the resource analysis along the refinement chain, and allow a fine-grained analysis of operation counts. Our framework targets the LLVM intermediate representation. We extend its semantics from earlier work with a cost model. As case study, we verify the correctness and O (n log n) worst-case complexity of an implementation of the introsort algorithm, whose performance is on par with the state-of-the-art implementation found in the GNU C++ Library.
We present a framework to verify both, functional correctness and (amortized) worst-case complexity of practically efficient algorithms. We implemented a stepwise refinement approach, using the novel concept of resour...
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We present a framework to verify both, functional correctness and (amortized) worst-case complexity of practically efficient algorithms. We implemented a stepwise refinement approach, using the novel concept of resource currencies to naturally structure the resource analysis along the refinement chain, and allow a fine-grained analysis of operation counts. Our framework targets the LLVM intermediate representation. We extend its semantics from earlier work with a cost model. As case studies, we verify the amortized constant time push operation on dynamic arrays and the O(n log n) introsort algorithm, and refine them down to efficient LLVM implementations. Our sorting algorithm performs on par with the state-of-the-art implementation found in the GNU C++ Library, and provably satisfies the complexity required by the C++ standard.
The construction of campus network has provided an advanced comprehensive information environment for teaching, scientific research and management of colleges. In the process of digitization and intelligentization, th...
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The construction of campus network has provided an advanced comprehensive information environment for teaching, scientific research and management of colleges. In the process of digitization and intelligentization, the data produced by all kinds of application systems in college are growing, and the large data environment of campus has been formed. Big data of college contain abundant information, so we need to use new data storage and analysis tools to store and analyze huge amounts of college data and get useful information from them. In this paper, a depth learning analysisalgorithm based on Map Reduce is proposed to deal with college data. Using Map Reduce parallel computing framework to achieve campus data computing, we studied the analysis and application systems of campus big data in different themes and levels and dug out valuable information hidden behind college data. The experimental results show that the high school data mining algorithm based on Map Reduce is effective. It provides new research ideas for large data mining in colleges and provides technical reference for the construction of smart campus.
This study applied radio frequency identification (RFID) and database technologies to monitor and manage multifarious information of cabin comprehensively, which includes the documents, temperature, humidity, personne...
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ISBN:
(纸本)9781728140940
This study applied radio frequency identification (RFID) and database technologies to monitor and manage multifarious information of cabin comprehensively, which includes the documents, temperature, humidity, personnel and so on of vessel, effectively improving the efficiency and effectiveness of ship monitoring system. In this paper,a unique marine automatic information monitoring hardware with RFID is designed and implemented, as well as a self-designed software with Visual Studio Professional 2017. An improved intensive label-reading algorithm for enclosed spaces (e.g. cabins) is proposed and applied in this software, greatly improving the speed and accuracy of label reading. Furthermore, the simulation test of label frequency and reading accuracy is carried out to get the most suitable frequency for cabin - intensive documents reading. Both the results and data analysis show that the proposed method and simulation test are effective and feasible.
In recent years, the statistical inference and algorithm for the complex diffusion process of incomplete data have become a hot topic that scholars of probability and statisticians are concerned with and calls for fur...
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ISBN:
(纸本)9781538612309
In recent years, the statistical inference and algorithm for the complex diffusion process of incomplete data have become a hot topic that scholars of probability and statisticians are concerned with and calls for further study. Based upon the all-directional, multi-angle random dynamic information flow research, this article expands the information flow research in the ordinary information space to explore the broader, greater information measuring space. It discusses the recursive filtering algorithm of the optimal filtering and estimation of a kind of multi-dimensional, general part in the measurable, stable process in stochastic dynamic delivery system. The paper probes into and examines a series of valuable information in such generalized process. It produces the optimal recursive filtering equation and optimal estimation of random signals in this type of generalized process, thus provides a reliable theoretical foundation and an efficient mathematic method for further research of the optimal control of such a process and for further improvement of the efficiency of the sort of information transmission system.
We present initial results from our work towards developing a concept inventory for algorithm analysis ( AACI) at the post-CS2 level. We used a Delphi process to identify a list of algorithm analysis topics that were ...
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ISBN:
(纸本)9781450346986
We present initial results from our work towards developing a concept inventory for algorithm analysis ( AACI) at the post-CS2 level. We used a Delphi process to identify a list of algorithm analysis topics that were considered both important and hard by surveying a panel of experienced instructors. Through a similar survey process, we identified a list of student misconceptions related to the identified topics. Based on this, a set of pilot AACI items were developed. We validated the misconceptions list by analyzing student responses to four administrations of the pilot AACI in two different universities during Fall 2015 and Spring 2016. Results revealed that a sufficient number of students held most of the misconceptions identified in the list.
作者：
Liu, YongliangKim, Hee-JinARS
Cotton Struct & Qual Res Unit USDA New Orleans LA 70124 USA ARS
Cotton Fiber Bioscience Res Unit USDA New Orleans LA 70124 USA
With cotton fiber growth or maturation, cellulose content in cotton fibers markedly increases. Traditional chemical methods have been developed to determine cellulose content, but it is time-consuming and labor-intens...
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With cotton fiber growth or maturation, cellulose content in cotton fibers markedly increases. Traditional chemical methods have been developed to determine cellulose content, but it is time-consuming and labor-intensive, mostly owing to the slow hydrolysis process of fiber cellulose components. As one approach, the attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy technique has also been utilized to monitor cotton cellulose formation, by implementing various spectral interpretation strategies of both multivariate principal component analysis (PCA) and 1-, 2- or 3-band/-variable intensity or intensity ratios. The main objective of this study was to compare the correlations between cellulose content determined by chemical analysis and ATR FT-IR spectral indices acquired by the reported procedures, among developmental Texas Marker-1 (TM-1) and immature fiber (im) mutant cotton fibers. It was observed that the R value, CIIR, and the integrated intensity of the 895 cm(-1) band exhibited strong and linear relationships with cellulose content. The results have demonstrated the suitability and utility of ATR FT-IR spectroscopy, combined with a simple algorithm analysis, in assessing cotton fiber cellulose content, maturity, and crystallinity in a manner which is rapid, routine, and non-destructive.
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