With the continuous improvement of people's demand for housing, the rational planning of indoor space has become a current research boom. This research aims to explore the intelligent design system of indoor space...
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With the continuous increase of the number of risk points in accounting, how to improve accounting risk control has become an urgent problem to be studied and solved under the new situation. This paper designs an inte...
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Language is not only a mirror reflecting human thinking, but also the most important medium of communication between people. In today's information age, the communication barriers between different languages in th...
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作者：
Pu, QingnaSichuan Univ
Sch Literature & Journalism Jinjiang Coll Meishan 620860 Sichuan Peoples R China
Multimedia teaching is a comprehensive teaching platform that integrates text, images, video, sound, animation, hyperlinks and other teaching methods, and plays an important role in teaching. This article mainly discu...
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Multimedia teaching is a comprehensive teaching platform that integrates text, images, video, sound, animation, hyperlinks and other teaching methods, and plays an important role in teaching. This article mainly discussed the classification of courseware materials on the basis of dataanalysis and introduced the selection method of multimedia courseware materials. data mining is one of the most commonly used classification methods in dataanalysis. In this article, the classification of material types was carried out based on the decision tree classification algorithm. This article took three middle schools in Z city as the research objects and objectively analyzed the application of multimedia courseware in literature and art courses. Through the questionnaire survey of teachers, it was found that 62.50% of the teachers chose "text-based, highlighting the key and difficult points of teaching." Through the student questionnaires, it was found that there were differences in the students' preference for materials. The most were animation and video, accounting for 59.00%;the least was text, accounting for 14.00%. This showed that students were more inclined to choose more intuitive and interesting content.
In the context of the booming construction of smart cities, multi-source data fusion and analysisalgorithms play a key role in optimizing real estate management and improving urban efficiency. In this review, we comp...
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In the context of the booming construction of smart cities, multi-source data fusion and analysisalgorithms play a key role in optimizing real estate management and improving urban efficiency. In this review, we comprehensively and systematically review the relevant algorithms, covering the types, characteristics, fusion techniques, analysisalgorithms, and their synergies of multi-source data. We found that multi-source data, including sensors, social media, citizen feedback, and GIS data, face challenges such as data quality and privacy security when being fused. data fusion algorithms are diverse and have their own advantages and disadvantages. data analysis algorithms help urban management in areas such as spatial analysis and deep learning. algorithm collaboration can improve decision-making accuracy and efficiency and promote the rational allocation of urban resources. In the future, algorithm development will focus on data quality, real-time, deep mining, interdisciplinary research, privacy protection, and collaborative application expansion, providing strong support for the sustainable development of smart cities.
With the rapid development of modern society and economy, various types of science and technology have also achieved relatively rapid development, which has led to significant changes in all walks of life in modern so...
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With the rapid development of modern society and economy, various types of science and technology have also achieved relatively rapid development, which has led to significant changes in all walks of life in modern society. This change not only makes modern society transition toward an information society but also makes people in modern society obtain more convenience. The construction industry has also achieved higher quality development with the development of science and technology, especially through the informatization reform of existing technical means in multiple processes such as building design and construction, which has saved a lot of manpower and material resources. The most important aspect in the field of architecture is the design work before construction, and the degree of refinement in this process also determines the merits of the building to a certain extent. Therefore, the field of architectural design has also received more attention from relevant researchers. At the same time, the further development of social economy in the new era also puts forward more requirements for architectural design in the construction industry, which urges researchers to conduct in-depth research on existing architectural design. At the same time, combining some emerging information technologies, a new architectural design mode with better structure and performance is proposed. Image processing technology mainly uses computer algorithms to collect images, thereby converting these images into digital signals that can be recognized by a computer, and then displaying them on a computer display. This image processing technology can also identify and extract information from images, thereby displaying the key information therein. This article mainly analyzes image processing techniques and some data analysis algorithms to obtain the feasibility of their application in visual information mining systems for architectural design. The contribution of this study is to propose
The foam characteristics that are used to assess the quality of foamed bitumen are conventionally measured manually using a dipstick and stopwatch. Considering the related safety concerns in manual measurement and sen...
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The foam characteristics that are used to assess the quality of foamed bitumen are conventionally measured manually using a dipstick and stopwatch. Considering the related safety concerns in manual measurement and sensitivity of the performance characteristics of foamed bituminous mixes (FBMs) to the foam characteristics, the present study aimed to improve the process of determining the bitumen foam characteristics during the foaming process. Accordingly, an ultrasonic sensor system which is capable of automatic non-contact measurement of foam characteristics was developed. The capability of the proposed method in terms of producing repeatable results was evaluated based on repeatability limit, Analytical Performance Value (APV) and coefficient of variation (CV). The study results indicate that the ultrasonic sensor system is very promising in terms of its ability to provide a detailed history of the change of volume of foamed bitumen with time with high repeatability. Conversely, the repeatability of the manual method of measurement was found to be very low at all most all foaming conditions. In addition, to eliminate any possibility of error in determining the foam characteristics obtained from the ultrasonic sensor system, a data analysis algorithm was recommended to analyse the bitumen foam height profile data collected from the device.
During computed tomography (CT) examinations, radio -sensitive organs located outside the field of view (FOV) are usually exposed to radiation caused by both direct and scattered X-rays. Traditionally, the use of radi...
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During computed tomography (CT) examinations, radio -sensitive organs located outside the field of view (FOV) are usually exposed to radiation caused by both direct and scattered X-rays. Traditionally, the use of radiation protection products has been an option for reducing exposure doses. The catalog value of the dose reduction factor (DRF) for a commercial X-ray shield is generally determined by the manufacturer using a plain X-ray irradiation system to measure the difference in dose with and without the shield. In contrast, actual shielding ability measurements during clinical CT examinations are usually evaluated using a similar equation, but it is not guaranteed that the incident directions of Xrays will be the same between the measurement data with and without a shield. The purposes of this study are to introduce a novel method for evaluating DRF by accounting for the influence of the X-ray incident direction in helical scanning and to obtain knowledge about the correctness of previously reported DRF values. Experiments pertaining to chest CT examinations were performed using a human body phantom and small -type dosimeters which consist of an optically stimulated luminescence element using Al2O3:C. A total of 100 examinations were iteratively performed, both with and without a shield. The corresponding DRF was then calculated. The novelty of the proposed analysis procedure lies in a paired analysis method, where the DRF is calculated by reorganizing numerous acquired data sets with and without the shield to pair similar incident angles of X-rays. As a result, the DRF values were estimated to be 48.5 +/- 4.3%, 48.7 +/- 2.7%, and 48.9 +/- 1.5% based on the data results within the 10-40 data sets, 40-70 data sets, and 70-100 data sets, respectively. When the DRF values were obtained by the conventional method without applying our sorting procedure, the results were 48.4 +/- 8.1%, even when the 70-100 data sets were used. This result indicates that the proposed me
In order to improve the efficiency and accuracy of dataanalysis, excellent data screening algorithms are needed in this era of big data. This paper proposes a binary-digit based data screening algorithm (BDDS), utili...
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ISBN:
(数字)9781728109749
ISBN:
(纸本)9781728109749
In order to improve the efficiency and accuracy of dataanalysis, excellent data screening algorithms are needed in this era of big data. This paper proposes a binary-digit based data screening algorithm (BDDS), utilizing the binary storage form of data in hardware and recording the data changes over a period of time with a binary-bit recorder, whose number of digits in the binary form is used to remove the influence of the medium-distance data from the current data, left shift of the binary form is used to reduce the influence of the data which are very close to the current data, and the decimal meaning is used to determine whether the data are valid data. Experiments have proved that the algorithm, as an auxiliary algorithm, can be better combined with the current mainstream data analysis algorithms to reduce the impact of marginal data, save additional storage space, and improve the accuracy and efficiency of subsequent dataanalysis.
Background: Protein quantification is an essential step in many proteomics experiments. A number of labeling approaches have been proposed and adopted in mass spectrometry (MS) based relative quantification. The mTRAQ...
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Background: Protein quantification is an essential step in many proteomics experiments. A number of labeling approaches have been proposed and adopted in mass spectrometry (MS) based relative quantification. The mTRAQ, one of the stable isotope labeling methods, is amine-specific and available in triplex format, so that the sample throughput could be doubled when compared with duplex reagents. Methods and results: Here we propose a novel data analysis algorithm for peptide quantification in triplex mTRAQ experiments. It improved the accuracy of quantification in two features. First, it identified and separated triplex isotopic clusters of a peptide in each full MS scan. We designed a schematic model of triplex overlapping isotopic clusters, and separated triplex isotopic clusters by solving cubic equations, which are deduced from the schematic model. Second, it automatically determined the elution areas of peptides. Some peptides have similar atomic masses and elution times, so their elution areas can have overlaps. Our algorithm successfully identified the overlaps and found accurate elution areas. We validated our algorithm using standard protein mixture experiments. Conclusions: We showed that our algorithm was able to accurately quantify peptides in triplex mTRAQ experiments. Its software implementation is compatible with Trans-Proteomic Pipeline (TPP), and thus enables high-throughput analysis of proteomics data.
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